Volume 5, Issue 6

Current Issue features key papers related to multidisciplinary domains involving complex system stemming from numerous disciplines; this is exactly how this journal differs from other interdisciplinary and multidisciplinary engineering journals. This issue contains 208 accepted papers in Information System and Electrical Engineering domains.
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Table of Contents
Qualitative Properties of a Cell Proliferating Model with Multi-phase Transition and Age Structure
In this paper we study a cell division cycle modeled by a system of partial differential equations with an age structure. This model translates the many regulatory mechanisms within the cell cycle where it introduces the notion of phases. The individual cell can be either in I phases where the transition between theses phases are…
Read MoreA Study on Intelligent Dialogue Agent for Older Adults’ Preventive Care – Towards Development of a Comprehensive Preventive Care System
Preventive care approaches have attracted much attention in Japan, which is one of the world’s most super-aged societies. These approaches aim to decrease the number of people who require nursing care or other human support. Our research group has developed several kinds of preventive care systems, including a fall prevention system, a cognitive training system,…
Read MoreSupervised Learning Techniques for Stress Detection in Car Drivers
In this paper we propose the application of supervised learning techniques to recognize stress situations in drivers by analyzing their Skin Potential Response (SPR) and the Electrocardiogram (ECG). A sensing device is used to acquire the SPR from both hands of the drivers, and the ECG from their chest. We also consider a motion artifact…
Read MoreAnalysis of Green Building Effect on Micro grid Based on Potential Energy Savings and BIM
In this paper we are demonstrating the importance of building and achieving a renewable electrical power system that works in synchronization with the grid. The average of consumption, generation and the negative environmental effect of generating power were analyzed. This paper is divided into three parts, one was analyzed with Green Building Studio software and…
Read MoreEffective Segmented Face Recognition (SFR) for IoT
Face recognition technology becoming pervasive in the fields of computer vision, image processing, and pattern recognition. However, face recognition accuracy rates will decrease if training is done on disguised images with covered objects on a face area. This paper aims to propose a state-of-the-art face recognition methodology which could be applied in Internet of Things…
Read MoreBusiness Intelligence for Generating Comprehensive Report in Electronic Completion and Handover
Project completion is a common and best practice for oil and gas and construction industry. It provides a comprehensive completion approach and gives total confidence to asset owner to operate the facility handed over by construction contractors. While the nature variation of asset hierarchy is unique from one type of asset to another, a project…
Read MoreDevelopment of Group-Based Differentiated Learning (GBDL) Models
The ability to think and the social abilities of junior high school students is a potential ability developed through learning based on the optimization of differences in learning abilities. For this reason, appropriate learning design and implementation model is needed in realizing this, especially in one of the social group subjects. This study uses research…
Read MoreThe COVID-19 Effect in Mexican SMEs
This article presents a literature review on how the COVID-19 pandemic changed the way of managing risks in the supply chains of Mexican SMEs. Research was carried out in the most important scientific research databases. The spread of the pandemic in 2020 has affected public health and the world´s companies, including micro, small and medium…
Read MoreAutomated Extraction of Heavyweight and Lightweight Models of Urban Features from LiDAR Point Clouds by Specialized Web-Software
3D city modeling may be considered as one of the key applications, that are provided by the Automated Feature Extraction (AFE) techniques from LiDAR data. The authors attempt to prove that with growing availability of LiDAR surveying methods the resulted 3D city models become the most significant modeled features for any urban environment. Our paper…
Read MoreUsing TOST in Teaching Operating Systems and Concurrent Programming Concepts
The paper is aimed as a concise and relatively self-contained description of the educational environment TOST, used in teaching and learning Operating Systems basics such as Processes, Multiprogramming, Timesharing, Scheduling strategies, and Memory management. TOST also aids education in some important IT concepts such as Deadlock, Mutual exclusion, and Concurrent processes synchronization. The presented integrated…
Read MoreTechnology Adoption in Education: A Systematic Literature Review
Technology is advancing faster today than ever before with evidence of its impact in all facets of our lives. With the spread of the novel COVID-19 pandemic across the world, schools were closed as part of lockdown measures to contain the virus thereby disrupting academic curricula. Academic institutions leveraged ICTs to virtually engage students and…
Read MoreUnderstanding the usage, Modifications, Limitations and Criticisms of Technology Acceptance Model (TAM)
Technology Acceptance Model (TAM) is broadly accepted and has proved applicable in identifying consumers’ willingness to utilize information and communication technology (ICT). The theory proposes that Perceived Ease of Use (PEOU) and Perceived Usefulness (PU) are actually determining factors of individual attitudes, while attitude is a determining factor of Behavioural Intention (BI) and Behavioural Intention…
Read MoreThe Impact Assessment of the Errors in Determining the Mass and Zero Lift-Drag Coefficient on the Aircraft’s Performance Data
The adoption of technical decisions in the development of a new aircraft is carried out under the condition of insufficient information on the mass – dimensional and aerodynamic characteristics that will be achieved during the project. Insufficient information on the input parameters (weight and aerodynamic characteristics) leads to uncertainties in the values of the flying…
Read MoreInfrared Uplink Implementation for Software Defined Visible Light Communication Systems
The main advantage of software-defined visible light communication (VLC) systems is that they allow us to reuse modulation, coding, synchronization and medium access techniques used in conventional radio systems. This article focuses on the implementation of an uplink alternative using an infrared (IR) light communication system. For this goal, analog front-ends are designed and implemented.…
Read MoreExperimental Investigation of RC Footings Resting on Sand Strengthened with Concrete Jacketing
An experimental study regarding structural strengthening of existing reinforced concrete footing was conducted on six full scale reinforced concrete footings, strengthened with concrete jacketing under concentric and eccentric loads. The footings had constant dimensions and flexural steel reinforcement which was designed to prevent brittle failure due to crushing of concrete before steel yielding. Concrete jacketing…
Read MoreElectro-tactile Stimulation for Augmenting Finger Motoric Learning
Finger skills are achieved through the training process. This training process will be more straightforward if a training system is used. A novel finger motoric training system is introduced in this paper. This system is to facilitate a beginner piano player to learn the basic piano skill. The system is comprised of a tracking finger…
Read MoreAviation MRO: Impact of Physical Environment Factors on Job Performance in Aircraft Maintenance Organization
A happy employee with high morale is the best asset of an organization. The morale of an individual working in an organization can be impacted by both positive and negative ways by physical environment factors of the workplace. The physical environment of an organization impacts a lot on the work performance of an individual. It…
Read MoreInferring Topics within Social Networking Big Data, Towards an Alternative for Socio-Political Measurement
This research sought to measure some socio-political indicators using millions of opinionated messages from social network sourced big data. Thus, and using an enhanced mixed method for sentiment analysis and a fusion model algorithm to infer topics from short text, this study attempted to demonstrate the value of computational approaches in measuring some phenomena in…
Read MoreResearch of the Effect of Rotation and Low-Frequency Vibration on the Robotic Assembly Process
The prospects for the introduction of assembly automation in the industry are largely determined by the reliability of the assembly process. One of the reasons for reducing its reliability is parts jamming. In order to increase the technological reliability of the assembly process, various physical and technical effects are applied. The article presents the results…
Read MoreA Novel Approach to Augment the Opto-Electronic Properties of Stannic Oxide (SnO2) Thin Films by Vanadium Doping
The Tin Oxide: Vanadium (SnO2: V) thin films have been deposited on glass substrates with various Vanadium concentration at a substrate temperature;500oC using microprocessor-controlled spray pyrolysis technique. The structural, compositional, morphological and optical analyses of the samples are characterized by XRD, EDAX, SEM and UV-Visible spectroscopy. The XRD analysis shows tetragonal rutile structure formation in…
Read MoreApplications of the Heuristic Optimization Approach for Determining a Maximum Flow Problem Based on the Graphs’ Theory
In the present paper, a universal approach for determining the maximum flow problem in directed graph for solving different problems is applied. It can be considered as a heuristic and it can be used as a denomination for analyzing an arbitrary system with a mathematical description as a directed graph. The physical nature of the…
Read MoreA Toolkit for the Automatic Analysis of Human Behavior in HCI Applications in the Wild
Nowadays, smartphones and laptops equipped with cameras have become an integral part of our daily lives. The pervasive use of cameras enables the collection of an enormous amount of data, which can be easily extracted through video images processing. This opens up the possibility of using technologies that until now had been restricted to laboratories,…
Read MoreReal-Time Identification and Classification of Driving Maneuvers using Smartphone
The fast-paced development of smart technologies and the prevalence of vehicles, created an urgent demands to study and improve safety issues related to driving. In order to reduce traffic accidents, driving behavior was found to be very important issues to study and investigate. Recently, the advent and widespread of smartphone platforms with advanced computing competence…
Read MoreThe Effect of E-Service Quality on Customer Satisfaction and Loyalty (Case Study at E-Marketplace XYZ in Indonesia)
Online transactions make it easy for people to get products or sell the products through online applications. The success and failure of online sales depends on how satisfied and loyal the customer is to the service of the product or business which can certainly influence and increase competition between the online sales industry. Based on…
Read MoreTrace-Driven Simulation of LoRaWAN Air Channel Propagation in an Urban Scenario
Long-range, Low-Power Wide Area Network (LoRaWAN) is a very scalable solution for the Internet of Things (IoT). Due to the air channel environment’s complexity, connectivity is a crucial parameter for successfully planning and deploying the IoT networks. Measurements and simulations have been used to evaluate LoRaWAN propagation models in the Urban environment, but it is…
Read MoreMulti-Directional Light Sensing Using A Rotating Sensor
The performance of indoor illumination control in many applications, such as in an intelligent building, relies on the quality of the light sensors. In many cases, the light level is not uniform and depends on the direction of the illumination source. It usually requires multiple sensors set up in different directions to gather the overall…
Read MoreVehicle Rollover Detection in Tripped and Untripped Rollovers using Recurrent Neural Networks
Comparing to other types of vehicle accidents, fatality rate of tipped rollover accidents shows significant number. Thus, tripped rollover prevention systems are important in order to keep driver safe. In other hands, different rollover indices are defined to handle the risk. The variable unknown parameters of each index, for instance, current load of the vehicle…
Read MoreHybridization of Improved Binary Bat Algorithm for Optimizing Targeted Offers Problem in Direct Marketing Campaigns
One of the biggest business problems of marketers, is to optimize the return on investments of direct Marketing campaign. This main purpose which can only be ensured by targeting the appropriate customer. The main challenge faced by companies when advertising, is to configure properly a campaign, by choosing the right target, so A high user…
Read MoreIT GRC Smart Adviser: Process Driven Architecture Applying an Integrated Framework
This article is a continuation of the work presented in the Third World Conference on Smart Trends in Systems Security and Sustainability (WorldS4). In this version we focus on matching IT and business processes from different management levels by using IT-Governance (ITG) Risk and Compliance frameworks in a smart way. In fact, every information system…
Read MoreMulti Operated Virtual Power Plant in Smart Grid
In order to balance the power in intelligent distribution networks (Smart Grid or Microgrid), it is proposed to organize a «multi operated virtual power plant». The resources of active and reactive power for which can be obtained using an AC voltage controller with a phase-angle control for regulation of operating modes of the ohmic load…
Read MoreA Fuzzy Controller Based SAPF for Power Quality Enhancement of Distribution System Integrated with Wind Energy Source
Wind energy is emerged rapidly as the most important and viable sustainable power source due to the mature technology and wide availability. The integration of wind energy sources and utilization of nonlinear loads having different characteristics results in several challenges in a distribution system. One of which is power quality issue .Hence, in this work,…
Read MorePre-University Students’ Learning Styles and Attitude towards Mathematics Achievements
Learning styles studies have been discussed widely in academic field. It can be considered as a factor that contributes to the achievement of the students in their learning because everyone has a unique learning style when learning. In this paper, we aimed to examine the association of learning styles and attitude towards academic achievement. By…
Read MoreA Comprehensive Review of Traditional Video Processing
Video and its processing are an interesting area as the increase in usage of internet videos, online streaming, CCTV, impact of internet on normal crowd increased. The need to know about video and its processing become an eminent area in research in current era. The paper tries to cover the traditional video processing, the advancement…
Read MoreOvermind: A Collaborative Decentralized Machine Learning Framework
This paper is an extension of work originally presented in PM2.5 Prediction-based Weather Forecast Information and Missingness Challenges: A Case Study Industrial and Metropolis Areas, which focused on imputation algorithm to solve missingness challenge and demonstrated a basic prediction system to prove the proposed algorithm, II-MPA. Distributed and decentralized systems, recently, have been proven for…
Read MoreThe Role of Promotion in Mobile Wallet Adoption – A Research in Vietnam
Mobile wallet is an application that allows users to make online payments using their mobile phones. In the context of an outbreak of COVID-19 epidemic in Vietnam and the world, mobile wallets are considered having many opportunities to change people’s cash spending habits. The current study assesses the factors impact on the intention to use…
Read MoreComplex Order PI\(^{\alpha + j\beta} \)D\(^{\gamma+j\theta}\) Design for Surface Roughness Control in Machining CNT Al-Mg Hybrid Composites
Accurate machining control is indispensable for the smart factories of tomorrow. Variations in controller responses may cause unacceptable process deviations during machining leading to productivity losses and possible damage. In the present work, a complex order PIα+jβDγ+jθ(COPID) controller was designed to effectively control surface roughness generation while machining CNT Al-Mg hybrid composites. Performance of the…
Read MoreDense Deep Neural Network Architecture for Keystroke Dynamics Authentication in Mobile Phone
The ever-growing technology in mobile smartphones has enabled users to store sensitive and private information; as a result, it required the need for an improved security system. Previous approaches heavily relied on shallow machine learning algorithms that require feature extraction which is time consuming, laborious and can cause, resulting in poor authentication. In this paper,…
Read MoreEmotion Recognition on FER-2013 Face Images Using Fine-Tuned VGG-16
Facial emotion recognition is one among many popular and challenging tasks in the field of computer vision. Numerous researches have been conducted on this task and each proposed either standalone- or ensemble-based processing technique. While many researches strive for better accuracy, this research also attempts to increase the processing efficiency of computer correctly classifying human…
Read MoreMulti-Model Security and Social Media Analytics of the Digital Twin
Digital twins act through application programming interfaces to their physical counterparts to monitor, model, and control them. Beyond these traditional functions of digital twins, they must also act to secure their physical counterparts. A multi-model scheme is presented to help digital twins towards the task of securing the physical system. Additionally, this work includes an…
Read MoreThe Contribution of Wind Energy Capacity on Generation Systems Adequacy Reliability using Differential Evolution Optimization Algorithm
Currently, increasing penetration of the Wind Energy Conversion System (WECs) in Power generation systems has influenced the supply of electrical power reliability for the consumer in comparison with other traditional sources. In this paper, the performance and efficiency of a new optimization approach referred to as the “Differential Evolution Optimization Algorithm” (DEOA) to measure the…
Read MoreEnhanced Power Utilization for Grid Resource Providers
A grid is a system that can manage and organize services and resources that spread amongst different control domains, employ interfaces and protocols, and offer a high quality of services. The integration of Multi-Agent Systems (MAS) with a grid environment significantly affects grid performance. MAS is considered a suitable solution for open systems that modify…
Read MoreDC-DC Buck Converter Driver with Variable Off-Time Peak Current Mode Control
Power converters in automotive industries are needed to source electronic devices. DC-DC Buck converter allows to drive loads ensuring their safety operation taking the car battery voltage as an input to generate a sub-voltage or current. By means of a control loop, the system makes sure that the output variable has the desired value in…
Read MoreBlueprint Model: An Agile-Oriented Methodology for Tackling Global Software Development Challenges
In recent decades, the challenge of managing the development teams spread across different time zones has become increasingly common, raising the importance of the development of Global Software Development (GSD) techniques, in order to tackle its particular problems. This work discuss these issues in the context of Sidia, an R&D institute which implements technological solutions…
Read MoreVietnamese Text Classification with TextRank and Jaccard Similarity Coefficient
Text classification is considered one of the most fundamental and essential problems that deal with automatically classifying textual resources into pre-defined categories. Numerous algorithms, datasets, and evaluation measurements have been proposed to address the task. Within the era of information redundancy, it is challenging and time-consuming to engineering a sizable amount of data in multi-languages…
Read MoreIntrusion Detection and Classification using Decision Tree Based Key Feature Selection Classifiers
Feature selection method applied on an intrusion dataset is used to classify the intrusion data as normal or intrusive. We have made an attempt to detect and classify the intrusion data using rank-based feature selection classifiers. A set of redundant features having null rank value are eliminated then the performance evaluation using various feature selection…
Read MoreComparison of Gaze Points Among Viewing Conditions (Resolution, Display Size, Viewer Position) During Video Viewing
Ultra-high resolution broadcasting such as 4K and 8K are becoming more popular for at-home use. The position of the viewer’s mean gaze point when they are looking at a larger display depends on the video clip, viewing position, and viewing distance. The International Telecommunication Union provided the document BT-2022; as the standard viewing conditions for…
Read MoreMethod for Improving the Quality of the Product Obtained by Abrasive Treatment with Impregnated Tools
The article describes a way to increase the efficiency of an abrasive tool by its impregnation in an aqueous solution of chromium diiodide. The device scheme for impregnating the instrument is proposed. Research results of durability of tools impregnated with chromium diiodide and structural condition of material of a surface layer of details after processing…
Read MoreLevel of Resilience and Family Functionality in Adolescents of two Educational Institutions of a Vulnerable Area in Lima Province
Family functionality is when the family meets the needs of its members, especially adolescents. Resilience is the adolescent’s ability to face situations in which there are difficulties, life problems and thus be able to overcome them. The purpose of the study is to determine the Level of Resilience and Family Functionality in Adolescents of two…
Read MoreTo the Question of Multi-Criteria Optimization of Aircraft Components in Order to Optimize its Life Cycle
The paper examines the impact on the product life cycle of reducing the duration of the development stages of aviation technology through the use of multi-criteria optimization. The subject of the study is the nose of a supersonic aircraft and the process of linking it. This example describes in detail the application of a comprehensive…
Read MoreThe Probe Mark Discoloration on Bond Pad and Wafer Storage
In this report, a probe mark discoloration with donut/circle shape was found. The corrosion formed on Aluminum bond pads. The SEM/EDS, TEM/EELS & AES surface techniques were used to identify this corrosion product. All these material analysis results pointed out the role of fluorine to this discoloration. The HAST testing, all the chip samples obtained…
Read MoreA Simulation Based Proactive Approach for Smart Capacity Estimation in the Context of Dynamic Positions and Events
Technologies are growing with the passage of time and providing solutions for the existing problems. One of such problems is to manage the crowd according to available capacity. Especially when the crowd density is dynamic because of dynamic position of the persons (Pilgrims). Not only dynamic position of the pilgrims makes crowd capacity dynamic but…
Read MoreEffective Learning of Tax Regulations using Different Chatbot Techniques
Teaching tax-related regulations have always been a challenge due to the inclusion of external variables that hinder the learning process, such as the high complexity of tax systems and legislation variability. Universities have sought different alternatives to support the teaching process both outside and inside the classroom, ranging from recreational activities to active learning. This…
Read MoreElectronic Warfare Methods Combatting UAVs
This paper describes methods of eliminating Unmanned Aerial Vehicles (UAV) non-destructively, using Electronic Warfare Methods. The aim is to introduce certain methods of UAV detection and elimination in a complex environment and terrain, e.g., in an urban and battlefield environment, that will result in finding the control device position and the UAV itself. Neural networks,…
Read MoreFault-Tolerant Control of Permanent Magnet Synchronous Motor Drive under Open-Phase Fault
This paper presents an integrated solution for a fault-tolerant three-phase permanent magnet synchronous motor (PMSM) field-oriented control drive subjected to an open-phase fault (OPF) integrated with effective fault-tolerant detection methodology. The fault detection methodology is based on model predictive current control (MPCC), which is easy to apply, detect OPF in a range of microseconds, and…
Read MoreExtending the Classifier Algorithms in Machine Learning to Improve the Performance in Spoken Language Understanding Systems Under Deficient Training Data
One of the open domain challenges for Spoken Dialogue System (SDS) is to maintain a natural conversation for rarely visited domain i.e. domain with fewer data. Spoken Language Understanding (SLU) is a component of SDS that converts user utterance into a semantic form that a computer can understand. If we scale SDS open domain challenge…
Read MoreReliability Improvement of Radial Distribution System by Reconfiguration
In a radial distribution system, component failure leads to service interruption and subsequent disconnection of a few load points. An abnormal variation in the voltage levels and high power loss gives rise to reliability issues. In this work, feeder reconfiguration is performed to improve reliability, minimize voltage deviation and power loss. A Binary Particle Swarm…
Read MoreAmerican Sign Language Recognition Based on MobileNetV2
Sign language is a form of communication language designed to link a deaf-mute person to the world. To express an idea it requires the use of hand gestures and body movement. However, the bulk of the general population remain uneducated to understand the sign language. Therefore, a translator is required to facilitate the communication. This…
Read MoreAn Adaptive Nonlinear Sensorless Controller of Doubly Fed Induction Generator Driven By Wind Turbine
In this study, an adaptive nonlinear sensorless controller for doubly fed induction generator (DFIG) driven by a wind turbine is proposed. The aim is to maximize the extracted power by tracking the wind turbine optimal torque-speed characteristic without the need for rotor speed measurement. This controller ensures a satisfactory tracking of both stator flux and…
Read MoreAn Economic Theory Perspective for the Fight Against Poverty in the Peruvian Andes
The fight against poverty in the Peruvian Andes is a complex task in which various professionals, such as engineers, economists, anthropologists, among others, participate. The uncertainty of the decisions taken today, no matter how appropriate they may seem, such as million-dollar investments in irrigation infrastructure, can result in over-production and, therefore, in economic recessions. For…
Read MoreMicrocontroller Based Data Acquisition and System Identification of a DC Servo Motor Using ARX, ARMAX, OE, and BJ Models
This paper is carrying out a practical identification of a DC servomotor from input and output data. The system’s step response was obtained from an acquisition card that we have developed using a microcontroller. The data is collected and downloaded to the PC Thought RS232 Protocol to process the identification process using polynomial models (ARX,…
Read MoreFacebook Translation Service (FTS) Usage among Jordanians during COVID-19 Lockdown
The world is facing an unprecedented virus outbreak, COVID-19, hitting more than 200 countries. Governments have been striving to prevent the spread of the virus through the lockdown. During the strict lockdown in Jordan, people needed to stay home, and they used available social networks to keep updated on COVID-19, with Facebook, the most popular…
Read MoreAccelerating Decision-Making in Transport Emergency with Artificial Intelligence
The paper addresses speeding up meetings in a networked environment during rescue works in a transport emergency. Several groups of representatives of various services and observers participate in those meetings. The number of wrong decisions tends to increase because remote participants cannot understand each other quickly. First, the meetings must be efficiently held to avoid…
Read MoreDeterminism of Replicated Distributed Systems–A Timing Analysis of the Data Passing Process
Fault-tolerant applications are created by replicating the software or hardware component in a distributed system. Communications are normally carried out over an Ethernet network to interact with the distributed/replicated system, ensuring atomic multicast properties. However, there are situations in which it is not possible to guarantee that the replicas process the same data set in…
Read MoreVariation Between DDC and SCAMSMA for Clustering of Wireless MultipathWaves in Indoor and Semi-Urban Channel Scenarios
The performance of Simultaneous Clustering and Model Selection Matrix Affinity (SCAMSMA) and Deep Divergence-Based Clustering (DDC) in clustering wireless mul- tipaths generated by COST 2100 channel model (C2CM) is compared. Enhancing the accuracy of clustering multipaths is an open area of research which the clustering ap- proaches try to improve. Jaccard index is used as…
Read MoreInterface for Visualization of Wireless Propagation Multipath Clustering Outcomes
A graphical user interface (GUI) is presented to visualize the multipaths generated by COST 2100 channel model (C2CM) and the results of clustering the wireless propagation multipaths using Modified Simultaneous Clustering and Model Selection (MSCAMSMA). The usual practice of authors is to show their data and results using figures, tables, and graphs which are already…
Read MoreThe Effect of Different Starches in the Environmental and Mechanical Properties of Starch Blended Bioplastics
The problematic of plastic pollution in the world has led to an interest in the research and development of thermoset starch-protein blend bioplastics as a possible alternative for single use non-recyclable plastics. However, these bioplastics lack the physico-chemical characteristics that make them useful as a replacement for the currently used plastics. This work aims to…
Read MoreProposal of a New Descriptive-Correlational Model of Population Lifestyle Analysis and Disease Diagnosis
This document proposes a new methodology for lifestyle analysis and disease diagnosis for young academics using a strategic planning and disruptive innovation approach. Its objective is to consider and study a new form of treatment to improve the quality of life and health of students in parallel with their development, this through a quantitative methodology…
Read MoreSharpniZer: A C# Static Code Analysis Tool for Mission Critical Systems
Until recent years, code quality was not given due significance, as long as the system produced accurate results. Taking into account the implications and recent losses in critical systems, developers have started making use of static code analysis tools, to assess the eminence of source code in terms of quality. Static code analysis is conducted…
Read MoreExperimental Study on Mechanical Behavior of Polypropylene-based Blends with Talc Fillers
In this report, polymeric composites made from Polypropylene (PP) and talc powder were studied. The talc powder with different portions of 10%, 20%, 30% by weight was used to create samples. The samples were examined by the tensile test and the flexural test according to ASTM D638 and ASTM D790. The surface morphology of the…
Read MoreOntology-based Data Management Tool for Studying Radon Concentration
Interpreting data for solving information needs demands an understanding of the semantics of row data. In this paper, an ontology-driven management of data of the presence of radon gas in soil is presented. The main contribution of this research relies on the formal definition of the semantic of the presence of radon in the dimensions…
Read MoreStrategic Plan for the Achievement of the Competitiveness of Small Companies with Respect to Large Ones
The main objective of this research is to analyze the impact that the implementation of a strategic plan would have on achieving the competitiveness of the micro, small and medium enterprises (MSMEs) that are dedicated to bottling, marketing and distributing water in the city of Los Mochis. It is intended to offer a tool to…
Read More“Traffic Congestion Triangle” Based on More than One-Month Real Traffic Big Data Analysis in India
This research describes new traffic congestion analysis method “Traffic Congestion Triangle” based on more than one month real traffic big data analysis in India. The location of the research is one of typical economical growing cities Ahmedabad in Gujarat state of India. The traffic congestion becomes more serious issues in most developing countries and the…
Read MoreEffective Application of Information System for Purchase Process Optimization
This paper comprehensively focused on the information systems for purchase process optimization (IS) that are currently being used. It elaborates four crucial and important areas in relation to purchasing and supply management. These includes; Identifying the process involved in purchasing, how information systems are implemented and used in enhancing the supply process, understanding the key…
Read MoreFast and Efficient Maximum Power Point Tracking Controller for Photovoltaic Modules
This paper presents an efficient Maximum Power Point Tracking (MPPT) controller for photovoltaic modules. The MPPT technique consists of a combination between backstepping controller and artificial neural network (ANN).The (ANN) has been employed to generate the optimum voltage, which corresponds to the maximum power voltage delivered by photovoltaic modules, while the backstepping controller is developed…
Read MoreInventory Management Practices during COVID 19 Pandemic to Maintain Liquidity Increasing Customer Service level in an Industrial Products Company in Mexico
This work presents the development and improvement obtained by implementing inventory managing practices during the COVID 19 pandemic in a Mexican company, a leader in the industrial sector to overcome the effects on the Company’s economies due to constrained market to maintain liquidity and preserve employment by increasing customer service level ensuring the availability of…
Read MoreChatbot Developments in The Business World
Chatbot is an application that is designed to help humans communicate with machines. NLP and API.AI are some of the components that are crucial in making chatbot as they help chatbot in performing chatting operations. Chatbot could be implemented in many aspects of life such as education, social media platforms, games, even in business. Business…
Read MoreBurnout Among Primary School Teachers in the Wazzane Region in Morocco: Prevalence and Risk Factors
Introduction: Burnout is a real malaise that affects the mental health of teachers. The objective is to determine the prevalence of burnout among primary school teachers in the Wazzane region and to look for associated risk factors. Methods: Descriptive cross-sectional study conducted in 2017- 2018 with a sample of 330 teachers. Socio-demographic and work-related data…
Read MorePerformance Analysis and Enhancement of Spline Adaptive Filtering based on Adaptive Step-size Variable Leaky Least Mean Square Algorithm
This paper presents an adaptive step-size and variable leaky least mean square algorithm based on nonlinear adaptive filter with the adaptive lookup table using spline interpolation. An adaptive step-size approach is proposed with the energy of squared previous and present errors to boost up the convergence rate. A modified variable leaky mechanism is proposed with…
Read MoreAutomatic Stochastic Dithering Techniques on GPU: Image Quality and Processing Time Improved
Dithering or error diffusion is a technique used to obtain a binary image, suitable for printing, from a grayscale one. At each step, the algorithm computes an allowed value of a pixel from a grayscale one, applying a threshold and, therefore, causing a conversion error. To obtain the optical illusion of a continuous tone, the…
Read MoreImproved System Based on ANFIS for Determining the Degree of Polymerization
Transformer health assessment techniques, based on applicable standards, such as the dissolved gas analysis (DGA), through laboratory testing or online monitoring are used to analyze the symptoms of a failure which develops in transformers from an early stage. The DGA from a sample of dielectric liquid taken from the main tank generates information on the…
Read MoreNetwork Modeling with ANP to Determine the Appropriate Area for the Development of Dry Port in Thailand
One drawback of the Multiple Criteria Decision Making (MCDM) problem with the Analytic Network Process (ANP) is that the origin of the network cannot be clearly defined. In addition, it is not possible to specify internal relationship between criteria and sub-criteria. The application of Design Structure Matrix (DSM) with the Partitioning Reachability Matrix method resulted…
Read MoreSocial Influence Factor of e-Tourism Application Case Study University Student
The income generated from the tourism sector exhibits the main driving force for national revenues in Indonesian. Based on data from the Ministry of Tourism in Indonesia, it turns out that the potential tourist category originated from the cluster of college students or school-aged cohort. In this line, social media signifies a similar age of…
Read MoreHand-Based Biometric Recognition Technique – Survey
In today’s modern world, reliable automatic personal recognition is a crucial area of discussion, primarily because of the increased security risks. A large number of systems first require the recognition of a person before they can access their services. Biometric recognition can be used, which can be understood as automatic identification or automatic verification of…
Read MoreAutomatic License Plate Detection and Recognition for Jordanian Vehicles
Nowadays, automatic number plate recognition (ANPR) is very important especially in the era of smart cities and intelligent transport systems. Fully automated number plate detection and recognition system helps in reducing time, error, and cost for tracking of vehicles and for recording traffic violations. The main goal of this paper is to design a low…
Read MoreAdaptive Identification Method of Vehicle Model for Autonomous Driving Robust to Environmental Disturbances
Many recent studies on autonomous driving have focused on model-based control. A number of studies has addressed that simple models such as the Kinematic Bicycle Model are easier to design controls for autonomous driving systems. However, such a simple vehicle model has a weakness in that it is subject to modeling errors. This is because…
Read MoreCognitive Cybernetics in the Foresight of Globalitarianism
This paper presents the results of the research conducted with the help of cognitive cybernetics about the “mass” factor from the theory of totalitarianism. According to the expert system model, “big data” analysis sought to discover knowledge for assessing the future status of digital social connectivity. Originally developed models and methods of cognitive and computer…
Read MoreUltra Wide Band-based Control of Emulated Autonomous Vehicles for Collision Avoidance in a Four-Way Intersection
Traditional crossroads use traffic lights, but may cause delays due to its stop and wait process. Moreover, autonomous vehicles are being made, although it is not yet mass-produced. This work presents a design and implementation of an agile system that communicates and coordinates autonomous vehicles entering the intersection by adjusting their speeds and maneuvers to…
Read MoreMinimizing Collisions of Self-Driving Cars by a Control System Using Predetermined Two-Dimensional Grid Localization
Most crossroads use a traffic light to communicate between human-driven vehicles by conveying to the drivers when to stop and when to proceed in an organized fashion. However, the stop and wait nature of traffic lights cause slower mobility, leading to congestion. This paper presents a localization scheme based on two-dimensional (2D) flat geometry adaptation…
Read MoreComparison of Support Vector Machine-Based Equalizer and Code-Aided Expectation Maximization on Fiber Optic Nonlinearity Compensation Using a Proposed BER Normalized by Power and Distance Index
Advances in optimizing optical fiber communications have been on the rise these recent years due to the increasing demand for larger data bandwidths and overall better efficiency. Coherent optics have focused on many kinds of research due to its ability to transport greater amounts of information, have better flexibility in network implementations, and support different…
Read MoreAnalysis of Long-term Equilibrium Relationship Between KRW, RMB, JPY Exchange Rates and International Financial Market Variables: Comparative Analysis of KRW, RMB, JPY
This study used 15 VECM analysis models to analyze the relationship among exchange rates of South Korea, China and Japan; and between exchange rates of each country and international financial market variables. The analysis variables are the Won, Yuan, Yen spot exchange rates and international financial market variables. The results of the analysis are as…
Read MoreOptimization of Multi-user Face Identification Systems in Big Data Environments
Computer vision offers several strategies that permit computers to comprehend the substance of inputted data to extract the relevant highlights features. That gives the possibility to develop several successful recognition systems like face identification. One of the enormous difficulties these days is the way to have a prompt identification face in a multi-client identification system.…
Read MoreSurge Protection Device for Ex Application
A modern process plant is controlled, operated and safeguarded by the sophisticated distributed control system or a programmable logic controller and an emergency shutdown system. This process plant’s operation could be seriously affected by lightning, electrical switching, and power outrage. Lightning propagation can travel kilometers away, which has the risk of disturbing the control system’s…
Read MoreOptimal Irrigation Strategy using Economic Model Predictive Control
In many countries, irrigation water is one of the major contributors to water scarcity. In the present study, a novel optimized irrigation system which minimizes water consumption in irrigation is presented. The system is based on a predictive control algorithm, which foresees the water need of the crop, and regulates the time and amount of…
Read MoreDependency Head Annotation for Myanmar Dependency Treebank
Complete manual annotation of dependency treebank needs resources like annotators and annotation tools and takes long time and has high possibility of inconsistent annotations for free word order languages such as Myanmar. This paper describes a dependency head annotation scheme with Universal part-of-speech and Universal Dependencies for Myanmar dependency treebank. Currently 22,810 sentences and 680,218…
Read MoreA Model-Driven Approach for Reconfigurable Systems Development
Reconfigurable systems are considered as promising technology that enables the design of more flexible and dynamic applications. However, actually existent design flows are either low-level (so complex) or they lack support for automatic synthesis. In this paper, we present an ontology-based modeling approach for reconfigurable systems. Our approach is based on model-driven engineering process and…
Read MoreAlgorithm Design for Accurate Steps Counting Based on Smartphone Sensors for Indoor Applications
This paper aims to design an accurate and robust algorithm for counting the steps based on the smartphone’s accelerometer for indoor applications. Different daily activities have been considered in the experimental scenarios, including normal walking with various smartphone positions and running activities. The detection process’s accuracy is ensured by setting an appropriate segregation approach and…
Read MorePolarity Switch within Social Networks
It is the age of information. Social networks are the main reason why, following the increasing activity of online users. With this comes a big impact on the real world, it can be positive and highly negative as well. Therefore, research in this field is highly needed for the betterment of societal behaviors within social…
Read MoreTowards a Smart Campus for Qassim University: An Investigation of Indoor Navigation System
With the advancements in technology, smart entities are becoming increasingly intelligent, therefore, increasing their interaction capabilities with their surrounding environment. Apart from the traditional smart low profile devices, these entities now involve cars, mobiles, televisions, and extend to universities and smart cities. One of the bi-product of the smart cities is the emergence of the…
Read MoreEffect of Heat Retention Time and Pouring Temperature on Graphite Shape and Mechanical Properties of Gray Cast Iron
In this study, the ASTM A48 Class 30 gray cast iron was cast in a medium frequency induction furnace. The ultimate tensile strength (UTS), ultimate flexural strength (UFS) and microstructure were determined in accordance with ASTM E8/E 8M-80 and ASTM A438-80 (1997). From the results of this study, the graphite size at overheating temperatures 1350oC…
Read MoreUpdated Analysis of Business Continuity Issues Underlying the Certification of Invoicing Software, Considering a Pandemic Scenario
Portuguese organizations that have invoicing software, certified by the Tax and Customs Authority, need to comply with technical requirements that involve business continuity and disaster recovery. The recent tax legislative changes created conditions for the dematerialization of documents, allowing waiving invoice printing, encouraging the adoption of an electronic invoicing and document archiving system. The pandemic…
Read MoreAn Enhanced Conceptual Security Model for Autonomous Vehicles
Connected and self-driving cars have emerged over the last decade as a leading example of cyber-physical systems, which seek to considerably enhance traffic safety, reduce emissions, decrease costs, and improve efficiency. Google, TESLA, Uber ATG are becoming pioneers in the autonomous vehicles industry. Autonomous vehicles can have a large codebase and with a large volume…
Read MoreLow Power Fast Settling Switched Capacitor PTAT Current Reference Circuit for Low Frequency Applications
This paper presents a low voltage, low power, fast settling switched capacitor based Proportional to Absolute Temperature (PTAT) current reference circuit. Unlike in a conventional resistor based PTAT current source, the proposed circuit saves a significant amount of silicon area on chip and hence the circuit becomes less susceptible to process variations. It creates a…
Read MoreBlockchain Application in Higher Education Diploma Management and Results Analysis
Academic certifications are achievements desired by people, because they have a direct impact, positively, on their social lives. Such an important document, still widely issued in paper format, may be subject to forgery or impossibility of verification due to the unavailability of the issuing entity. This work consists of identifying, analyzing and testing some of…
Read MoreEvaluating the Effectiveness of Query-Document Clustering Using the QDSM Measure
It is well documented that the average length of the queries submitted to Web search engines is rather short, which negatively impacts the engines’ performance, as measured by the precision metric. It is also well known that ambiguous keywords in a query make it hard to identify what exactly search engine users are looking for.…
Read MoreMethod of Analysis and Classification of Acoustic Emission Signals to Identify Pre-Seismic Anomalies
A new method of analysis and classification of rock acoustic emission signals is proposed. It is based on symbol description of signals and involves the following processing. First, signal segments containing pulses are detected. Second, noise of the detected pulses is reduced by the wavelet filtration method. Fourth-order symlets and adaptive threshold scheme based on…
Read MoreA Fast Adaptive Time-delay-estimation Sliding Mode Controller for Robot Manipulators
A nonlinear adaptive robust controller is proposed in this paper for trajectory-tracking control problems of robot manipulators. On one hand, to effectively approximate the systematic dynamics, a simple time-delay estimator is first adopted. On the other hand, to minimize the control error, the controller is designed based on a sliding mode structure using the obtained…
Read MoreInvestigation of the Effect of FBG Profiles, Temperature and Transmission Distance for Environmental Sensing & Monitoring
Optical sensors exist in various forms and one of them is fiber bragg gratings (FBG). Performance evaluation was simulated for FBG sensing. The simulation involves different grating profiles tested with complete optical sensing system. The system involves a broadband light source, FBG of various profiles and optical spectrum analyser for data interpretation. Different profile of…
Read MoreBarriers and Supports in Engineering Career Development: An Exploration of First-Year Students
Previous research has found that first-years in college is challenging due to changes in academic demands and the adaptation process. In addition to this, research on career development has found that barriers and supports may influence career interest, motivation to continue and student retention. This study explores the influence of specific supports and barriers among…
Read MorePrediction of Vessel Dynamic Model Parameters using Computational Fluid Dynamics Simulation
Dynamic positioning, a system to maintain vessel position and heading, is a technology that is used in many vessels and being intensively used as research topic in marine engineering. In order to make this system work properly, an accurate parameters value is needed. This research focuses on finding several parameters needed in this control system,…
Read MoreDesign and Implementation of DFT Technique to Verify LBIST at RTL Level
According to IEC 61805 and ISO 26262 standards requirement inclusion of LBIST (Logic Built in Self-Test) became mandatory to achieve safety critical application such as automotive field. In such systems, once device is switched ON LBIST (Logic Built in Self-Test) is activated and testing of digital logic is performed. After safety subsystem says that the…
Read MoreEmpathy in Nursing Students that do the Non-Medical Internship in Three Universities in Lima, 2019
Empathy is an attribute of importance between the nursing professional and the patient, where it influences the recovery of their health. Several studies carried out have shown worrying results where they reflect a great decrease in empathy during the formative academic years. The objective of the study is to determine empathy in nursing interns from…
Read MoreInvestigating the Optical Behavior of Single/Multi-Dimensional Photonic Crystal Structures for Photovoltaic Applications
The results investigated in this work are toward the optimization of the photonic crystal structures in 1D and 2D scale. One-dimensional distributed Bragg reflectors (DBRs) have demonstrated substantial potential in various optoelectronic applications, due to the observed tunable optical band-gap. Herein, the use of DBRs in light trapping solar cells was simulated and validated, representing…
Read MoreStandalone Operation of Modified Seven-Level Packed U-Cell Inverter for Solar Photovoltaic System
In this paper, a modified configuration of Single-Phase Seven-Level Packed U-Cell (PUC) Multilevel Inverter for solar photovoltaic system is presented & investigated for standalone operation. The Seven-Level MPUC Inverter comprises of six semiconductor switches & two DC links which generates seven voltage levels at the inverter output. The maximum amplitude of inverter output voltage is…
Read MoreHand Gesture Classification using Inaudible Sound with Ensemble Method
Recognizing the human behavior and gesture has become important due to the increasing use of wearable devices. This study classifies hand gestures by creating sound in the inaudible frequency range from a smartphone and analyzing the reflected signals. We convert the sound using Short-Time Fourier Transform to magnitude and phase. We trained two types of…
Read MoreDocker-C2A : Cost-Aware Autoscaler of Docker Containers for Microservices-based Applications
This article proposes a cost-aware autoscaler for microservices-based applications deployed with docker containers. This autoscaler decreases the cost of the application deployment as it reduces computing resources. In elastic treatment, microservice resources are scaled when the used metric as the central processing unit (CPU) exceeds the threshold. In case of threshold exceeding, an autoscaler adds…
Read MoreNPC five level inverter using SVPWM for Grid-Connected Hybrid Wind-Photovoltaic Generation System
This paper covers a new topology, a synchronous wind turbine generator, and a solar photovoltaic generator. The Permanent Magnet Synchronous Generator is linked to the grid by back-to-back voltage source converters (BtB VSC), consisting of a two-stage rectifier and a five-stage Neutral Point Clamped inverter, operated by the Space Vector Pulse Width Modulation technique. A…
Read MoreMobile Money Wallet Attack Resistance using ID-based Signcryption Cryptosystem with Equality Test
This paper is an extension of a research work presented at ICSIoT 2019. An attack continuum against the insider attack in mobile money security in Ghana using a witness based crypto- graphic method proposed by Alornyo et al. resisted the service provider from peddling with users data for economic gains. Our improved scheme achieves a…
Read MoreAdvanced Design of Current-mode Pass-band Filter using Ant Colony Optimization Technique
Ant Colony Optimization (ACO) algorithm, a well-known robust technique to solve easily both a simple and multiple objective optimization problems. This article presents an application of the ACO in order to achieve the optimal sizing of analog circuit. The proposed technique is employed to optimizing the sizing of a positive second-generation current conveyor (CCII+). Results…
Read MoreFeature Gate Computational Top-Down Model for Target Detection
Computer vision is a technique used for processing images and videos which are increasingly becoming ubiquitous day by day. Technologies developed are revolving around human needs and demands high computational power as volume of data increases. The extraction of the necessary information for processing, that is independent of various scene complexity is a challenging task.…
Read MoreDesign of a Remote Real-time Groundwater Level and Water Quality Monitoring System for the Philippine Groundwater Management Plan Project
Recent technological advances allow us to utilize remote monitoring systems or real-time access of data. While the use of remote monitoring systems is not new, there are still numerous applications that can be explored and improved on, one such is groundwater level and quality monitoring. In the Philippines, the extraction of groundwater for both domestic…
Read MoreDeterminants of Technological and Innovation Performance of the Nepalese Cellular Telecommunications Industry from the Customers’ Perspective
The study aimed to understand and analyze the technological and innovation performance measures of the Nepalese cellular telecommunications industry from the customers’ perspective. The measures like network service quality, signal strength and coverage, voice quality, and calls drop are used for technological performance, whereas measures like product/service innovation, process innovation, customization, competitive innovation, and marketing…
Read MoreAn Analysts’ Skills: Bespoke Software vs Packaged Software at Small Software Vendors
SMEs usually succeed in today market since they achieve unique things in the business market. Therefore, SMEs look to keep their business benefit by avoiding any regulation conducted of software. Executed software packaged at SMEs consequently provides obstacle concerning to misfits between software services process and SMEs business process. Hence software analysts’ skills are a…
Read MoreOzone, Nitrogen Dioxide, and PM\(_{2.5}\) Measurement at Three Urban Parks in Manila, Philippines using Portable Sensors
The presence of urban parks and green spaces in the city can play a role in maintaining urban residents’ quality of life. Parks in Manila are located near main thoroughfares. Since people usually go to parks for recreation and relaxation it is important to have an idea of the concentration of criteria pollutants at these…
Read MoreEvaluation of the Living Condition in Fishermen Settlement in the Coastal Area of Marisa City, Gorontalo Province
The population living in the residential area in two villages, including Pohuwato village and Pohuwato Timur village, are mostly fishermen, who live under the poverty line, meaning that the people there have low income. The objective of the present study was to explore the living condition in terms of the physical, social, and economic aspects…
Read MoreDesign of a Mobile Application for the School Enrollment Process in Order to Prevent Covid-19
In 2020, a great change occurred around the world due to the covid-19 pandemic, daily activities were restructured and thanks to technological advance it has been an ideal means to carry out remote work. With regard to education in Peru, it was paralyzed for a long time and only obtained in later months the option…
Read MoreEstimating LAI of Rice Using NDVI Derived from MODIS Surface Reflectance
The measurement of Leaf Area Index is of fundamental importance in agriculture and ecological research because it reflects plant growth. This study aims to estimate LAI from, NDVI derived from standard eight days composite MODIS surface reflectance, acquired during the rice growing period. A two-stage model was developed to relate the LAI of rice to…
Read MoreDeveloping a Modular Material-Based Independent Training Model for Primary School Teacher Training
This study is based on the challenges related to the low quality of education in Indonesia. One of the reasons for these challenges is the low ability of teachers to conduct professional tasks. Future demands for teachers’ professionalization will be higher, considering the rapid development of society, science and technology, and current global competitiveness. In…
Read MoreProjection of Wireless Multipath Clusters Using Multi-Dimensional Visualization Techniques
Advances in channel modeling allow wireless communication designers to accurately model and understand the channel’s phenomena within different propagation scenarios. A precise channel model results in the wireless system’s optimized performance while considering trade-offs due to the effects of the channel. The geometric-based stochastic channel model considers different interacting objects affecting the parameters using the…
Read MoreReview of Different Methods for Optimal Placement of Phasor Measurement Unit on the Power System Network
Phasor Measurement Unit (PMU) is an integral device for tracking, protection, and regulation of the power network. PMU gives synchronised calculations of actual-time data for voltage phasor, current phasor, and the frequency. Placing PMU in every node to observe the power network is not realistic from an economic standpoint and even for big data management.…
Read MoreHuman Emotion Recognition Based on EEG Signal Using Fast Fourier Transform and K-Nearest Neighbor
Human emotional states can transform naturally and are recognizable through facial expressions, voices, or body movements, influenced by received stimuli. However, the articulation of emotions is not practicable by every individual, even when feelings of joy, sadness, or otherwise are experienced. Biomedically, emotions affect brain wave activities, as the continuously functioning brain cells communicate through…
Read More5G, Vehicle to Everything Communication: Opportunities, Constraints and Future Directions
The 5G, as a new source of telecommunication infrastructure technology, has attracted many stakeholders to promote the progress of its standards and the development of its technology industry. The 5G reinforces new technologies and delivers vehicles for everything services (V2X) to drivers and passengers. It also offers several advantages. On the other hand, due to…
Read MoreDevelopment of Secondary Processing Data Methods under Single Point Thunderstorm Activity Monitoring
Forecasting the occurrence and development of thunderstorms near insured mobile objects, such as aircraft carriers, oil tankers, requires the usage of appropriate single-point monitoring systems (SPMS) of thunderstorm activity. These systems must be small and included in the equipment of the objects. A SPMS based on EH location finder meets the requirements of small dimensions.…
Read MoreEvaluation of the Physico-Chemical Properties of Soil and Apple Leaves (Malus Domestica) in Beni Mellal-Khenifra Region, Morocco
The apple tree (Malus domestica) is an agricultural species of great importance in Morocco. Currently, it occupies about a quarter of the surface of fruit-bearing rosaceae. Apple tree production has evolved rapidly, stimulated by a buoyant market, a varietal range which is tending to diversify and a dynamic profession. The present study aims to determine…
Read MoreMulti-Criteria Decision Analysis Coupled with GIS and Remote Sensing Techniques for Delineating Suitable Artificial Aquifer Recharge Sites in Tafilalet Plain (Morocco)
Despite that groundwater is an important and vital water resource, it is not well managed; depletion of aquifers around the world due to overexploitation is of serious concern especially in arid regions where the situation is much more alarming. Tafilalet plain in Morocco which belongs to this type of environment is certainly no exception and…
Read MoreExperimental Analysis of Thin Layer Drying of Ginger Rhizome in Convective Environment
This research presents the outcomes of thin layer convective drying of ginger rhizomes with different treatments using the ARS-0680 environmental chambers for the drying process. TD 1002A – Linear Heat Conduction Experimental equipment was used in measuring the thermal conductivity of the ginger samples at varied temperature levels ranging from 10oC – 60oC and drying…
Read MoreA Novel Approach of Smart Logistics for the Health-Care Sector Using Genetic Algorithm
The heath-care sector has confronted significant difficulties in the past few years due to several issues such as insufficient human resources, budget cuts, and shortage of equipment and drugs. The logistics in the health-care sector take an extensive part of the budget, especially since it is the main axis to provide the hospital’s pharmacies with…
Read MoreThe Design of a Hybrid Model-Based Journal Recommendation System
There is currently an overload of information on the internet, and this makes information search a challenging task. Researchers spend a lot of man-hour searching for journals related to their areas of research interest that can publish their research output on time. In, this study, a recommender system that can assist researchers access relevant journals…
Read MoreAn Efficient Performance of OFDM-Shaped Symbol for 5G Green Communication Compared to FBMC
The filter bank multi-carrier (FBMC) technique is being considered as the major candidates for the 5G schemes. The orthogonal frequency division multiplexing (OFDM) technique is used in 4G but it has drawbacks such as higher Out-of-Band (OOB) power reduction, and higher peak to average power ratio (PAPR). OFDM uses cyclic prefix (CP) extension to overcome…
Read MorePV Integrated Recursive Least Mean Square Estimation Based Shunt Active Power Filter
This paper proposes a photovoltaic (PV) integrated shunt active power filter (SAPF) for reactive power compensation, uneven loading and compensation of harmonic current. The control of SAPF is implemented by using adaptive based current estimation algorithm to maintain power factor near to unity and source current sinusoidal at source side. The weights are calculated online…
Read MoreDefeating Anti-Debugging Techniques for Malware Analysis Using a Debugger
Cyberattacks such as spear phishing and malspam pretending to be companies, institutes, and government officials are increasing and evolving. Malware has a variety of purposes, such as collecting personal information and illegal access to the system. New types of malware are increasing every day, and many malware programs spread all over the Internet, causing severe…
Read MoreDevelopment of a Technology and Digital Transformation Adoption Framework of the Postal Industry in Southern Africa: From Critical Literature Review to a Theoretical Framework
The pressing and most urgent challenge for most of the Posts in Southern Africa is to transit from its historical reputation of being a snail-paced, inefficient, loss-making and ineffective service provider to an agile, innovative, solution-driven and highly competitive service provider that strive for excellence. In this context, adoption, and diffusion of technology and digital…
Read MoreEvolution of Teaching Approaches for Science, Engineering and Technology within an Online Environment: A Review
The emergence of the COVID-19 pandemic earlier this year destabilised the operations in the education sector, particularly in institutions of higher learning. Most of these institutions are now expected to teach online, assess their students using non-venue examinations and offer remote laboratory practical and experiments. However, many of these institutions were not prepared for such…
Read MoreDevelopment and Performance Analysis of HRPL Using 6LoWPAN CC2538 Module for IoT Ecosystem
The Internet of Things (IoT) application has been experiencing increasingly progressive demand, especially for embedded devices (ED). However, the ED has limited capabilities, low power consumption resources, and low bandwidth in connecting to the Internet by using Wireless Sensor Networks (WSNs). Therefore, the WSNs form creates a necessity for new technologies and protocols for the…
Read MorePriority-based Scheduling Algorithm for NOMA-integrated V2X
The fifth-generation (5G) wireless system was implemented due to the massive connectivity, especially Internet of Things (IoT) including industrial automation, Vehicle to Everything (V2X) communications, which is shelter an extensive range of applications services and use cases and Intelligent Transportation Systems (ITS). A cellular Non-Orthogonal Multiple Access (NOMA) based on radio resource allocation schemes need…
Read MoreCreativity in Prototypes Design and Sustainability – The case of Social Organizations
The role of creativity techniques in the design of prototypes is of particular interest given its potential for innovation. At same time, despite the efforts of decades in terms of policies and programs of action, humanity has not yet come close to global sustainability. Sustainability design must involve society and creatively employ all available knowledge…
Read MoreComputer Vision for Industrial Robot in Planar Bin Picking Application
This research presents an effectively autonomous method that can save time and increases productivity for an assembly line in industry by using a 6DOF manipulator and computer vision. The objects are flat, aluminum type and randomly stacked in a box. Firstly, 2D color image processing is performed to label the object, then using 3D pose…
Read MoreCrystallinity and Hardness Enhancement of Polypropylene using Atmospheric Pressure Plasma Discharge Treatment
Atmospheric pressure plasma was used to treat polypropylene (PP) surfaces. Optical emission spectroscopy (OES) was used to determine the chemical species formed in the plasma as well as the electron temperature and density of the plasma. The flux of species (O and OH) produced during the plasma treatment interact with the polymer surface creating polar…
Read MoreLEACH Based Protocols: A Survey
Advances in the world of communications and information technology, as well as the urgent necessity to monitor particular areas and regions, have led to a considerable and influential development in the world of wireless sensor nodes. As they are small, low-cost multi-purpose nodes with limited energy and capabilities. The most important points that deserve research…
Read MoreTowards a Documents Processing Tool using Traceability Information Retrieval and Content Recognition Through Machine Learning in a Big Data Context
In 1980, an application was developed to track, manage and store documents in electronic format. Scan technology has enabled organizations to digitize papers for easier document storage and tracking. Document management tools have since developed by introducing new functionalities, related to security, users services, workflow and audit. Our research is part of the context of…
Read MoreTime Granularity-based Privacy Protection for Cloud Metering Systems
Due to the advent of cloud computing and Internet of Things, smart meters have become a crucial part of smart cities. Smart meters generate vast amounts of fine-grained data that can immediately provide useful information to electricity consumers, such as automatic billing, load monitoring, and dynamic time pricing. This will make the electricity consumers more…
Read MoreAnalysis of the Operational Impact of ETC Lanes on Toll Station
Traffic congestion is being experienced daily by many travellers both on the inner-city roads as well as on the highways. The toll plaza can become a real highway bottleneck, as vehicles must stop and manually pay the tolls at the toll booths. This stop-and-go process can seriously affect traffic fluidity, resulting in a lower quality…
Read MoreEmpirical Probability Distributions with Unknown Number of Components
We consider the estimation of empirical probability distributions, both discrete and continuous. We focus on deriving formulas to estimate number of categories for the discrete distribution, when the number of categories is hidden, and the means and methods to estimate the number of components in the Gaussian mixture model representing a probability density function given…
Read MoreBasic Study of 3-D Non-Invasive Measurement of Temperature Distribution using Ultrasound Images during HIFU Heating
High Intensity Focused Ultrasound (HIFU) was widely used for treating tumors non-invasively. In this treatment, ultrasound is focused on the target volume inside the human body to ablate cancerous tissues and Magnetic Resonance Imaging (MRI) is mainly used to grasp the target position and to measure the temperature distributions around the target. However, MRI is…
Read MoreWideband Active Switch for Electronic Warfare System Applications
Discrete component based ultra-wideband SPDT switch modelling, design and implementation challenges are reported in this article. The basic SPDT switch is planned to design using PIN diodes (bare die). Nonlinear parameters extraction steps of PIN diode from datasheets have been proposed in this article instead of using readymade nonlinear PIN diode models. Equalizers are designed…
Read MoreEvaluation of Simple Space Interpolation Methods for the Depth of Precipitation: Application for Boyacá, Colombia
Interpolation tools are used daily in hydrology and climatology. With the purpose to regionalize spot´s registration parameters, such as depth of precipitation, temperature, humidity, among others. The accuracy of these methods is not fully validated. This research presents a comparative study between the most used interpolation methods for the regionalization of hydrological and climatological parameters.…
Read MoreSH-CNN: Shearlet Convolutional Neural Network for Gender Classification
Gender detection and age estimation become an active research area and a very important field today, wish has been widely used in various applications including them: biometrics, social network, Targeted advertising, access control, human-computer interaction, electronic customer, etc. The need to further improve the recognition or classification rate keeps increasing day after day. In this…
Read MoreQuality of Nursing Care in Hospitalized Patients of the Carlos Lanfranco La Hoz Hospital, 2019
Background: The quality of care of the nursing professional in relation to the hospitalized patient refers to the set of knowledge and attitudes that the nursing professional must provide quality care, preventing risks and improving patient satisfaction, for which its objective is to determine the quality of nursing care in hospitalized patients at the LanFranco la…
Read MoreQuality of Life in Patients with Type 2 Diabetes of the Central Hospital of the Peruvian Air Force, 2019
This research shows the study carried out on the Health Related to Quality of Life (HRQL) focuses on aspects related to the perception of health experienced and declared by the person, in different dimensions such as physical, mental, social, general perception of health and satisfaction achieved measured at different levels; the objective of the study…
Read MoreSocial skills and Resilience in Adolescents of Secondary Education of the Kumamoto I 3092 Educational Institution, of the Puente Piedra District – Lima 2019
Social skills are the behaviors that the individual adopts on a regular basis at specific moments in everyday life. Resilience is the way in which the individual faces the adversity that life imposes on them, as well as manages to overcome it. In adolescence, problems are perceived because important changes are generated in an accelerated…
Read MoreSocial Skills and Resilience in Adolescents of an Educational Institution in North Lima, 2019
Social skills are a set of partially independent and situationally specific verbal or nonverbal responses, in terms of resilience, it is the set of qualities, resources or strengths that favor adolescents to face the adversities of life, therefore the objective of the research work is to determine the social skills and resilience in adolescents of…
Read MoreImproved Design and Recommendations for Street Lighting in Gitega City
The article discusses the possibility of using solar energy for street lighting systems in the city of Gitega, in the Republic of Burundi. Analysis of weather and climate conditions of the city was carried out and an effective street lighting system based on solar mini-power plants using an intelligent control system developed. Calculations of technical…
Read MoreInvestigating Students’ Computational Thinking through STEM Robot-based Learning Activities
Nowadays, robots are an important learning tool in education and are increasingly used inside and outside the classroom to foster the development of students’ knowledge, skills, and attitudes connecting to a real-world situation. In past years, using robots in STEM (science, technology, engineering, and mathematics) education has been proposed as one of the strategies to…
Read MoreEffect of Starch Oxidation Degree on the Properties of Hydrogels from Dialdehyde Starch and Polyvinyl Alcohol
Starches have been applied as biomaterials due to their wide availability and biocompatibility. These have also been modified by oxidation, resulting in dialdehyde starch (DAS), to improve their stability in water and mechanical properties. Cassava starch with a low oxidation degree has been introduced into hydrogels based on polyvinyl alcohol (PVA) to improve their properties.…
Read MoreImage Tag Recommendation based on Ranked Categorical Nearest Neighbors and Weighted Tag Features
The huge number of images on the image sharing websites poses challenges for classification and retrieval of the images. On many image sharing websites, tags can be assigned by the users to an image that describes the contextual and visual description of an image. However, ambiguous or incorrect tags have appeared in frequent tags that…
Read MoreAnalysis of Physical and Mechanical Properties of Galvanic-Plasma Wear-Resistant Coatings
This article shows the possibility of creating high wear-resistant and corrosion-resistant coating by plasma electrolytic oxidation (PEO) on the AlSi12Cu aluminum alloy. The combination of influencing parameters during processing allows to influencing of the set of quality indicators of coating, such as the thickness of the coating layer, microhardness, porosity, phase and elemental composition. The…
Read MoreA prediction of Cutting Force, System Vibration, and Productivity in Five-Axis Milling Process of the Spiral Bevel Gear
In this study, Taguchi method and ANOVA that are applied to determine the influence of several input parametrs on cutting force amplitude (F), vibration acceleration amplitude (a), and machining productivity (P) in the five-axis finish milling process of the spiral bevel gear. Taguchi orthogonal L27 array is used to design the experimental matrix with 27…
Read MoreA Study on the Tool Wear in Milling Process of the Gleason Spiral Bevel Gear
In this paper, the investigated results on tool wear in milling process of a Gleason spiral bevel gear was investigated. The CVD Ti (C, N)-Al2O3-TiN coated carbide inserts were used in the experimental process. The cutting inserts clamped on the tool head of Gleason tool head system. The workpiece material that was used in this…
Read MoreRecommendation System for SmartMart-A Virtual Supermarket
The current online shopping system does not provide the actual shopping experience to the users where they scroll through the web pages and select an item to purchase, which becomes monotonous soon and lacks the shopping experience. This paper describes the development of the SmartMart, a 3D shopping mart where the user can navigate around…
Read MoreSolution of the Semiconductor-Device Equations by the Numerov Process
The one-dimensional form of some types of differential equations that appear in the modeling of solid-state devices, like, e.g., the Poisson and Schro¨ dinger equations, can be solved numerically using the Numerov Process (NP). The accuracy of NP is superior by at least two orders of magnitude to that of commonly-used solution methods like, e.g.,…
Read MoreHandling Priority Data in Smart Transportation System by using Support Vector Machine Algorithm
In an intelligent transportation system (ITS), time is a big challenge since processing a huge amount of data in a short time is very difficult, especially when the processed data is heterogeneous, consisting of a mixture of emergency data, normal data, and noise. In an ITS, an ambulance is one of the priority vehicles, and…
Read MoreFabrication and Optimization of High Frequency ZnO Transducers for Both Longitudinal and Shear Emission: Application of Viscosity Measurement using Ultrasound
This paper covers the study of high-frequency (~ 1 GHz) ZnO piezoelectric transducer integrated on a silicon substrate able to generate both compressional and shear acoustic waves. First, to promote the longitudinal mode, an electrical matching of the transducer in this high-frequency range is effectuated. Second, to promote shear waves, new deposition conditions were applied,…
Read MoreParameter Estimation for Industrial Robot Manipulators Using an Improved Particle Swarm Optimization Algorithm with Gaussian Mutation and Archived Elite Learning
This work presents the analysis and formulation for optimizing the dynamic model and parameter estimation of all the six joints of a 6DOF industrial robot manipulator by utilizing swarm intelligence to optimize two excitation trajectories for the first three links at the arm and the last three links at the wrist of the robot manipulator.…
Read MoreComparative Study Between Three Methods for Optimizing the Power Produced from Photovoltaic Generator
The technics of maximum power point tracking is widely used in solar photovoltaic energy and electric power system applications. Traditionally, these technics are based on conventional methods like perturb and observe and incremental conductance. In this work, three methods based on particle swarms optimization, incremental conductance and adaptive neuro fuzzy inference system are presented. A…
Read MoreAn Investigation of the Effect of Optimal Plane Spacing Between Electrode Planes for the EIT Industrial Applications
In this paper, the effect of plane spacing between electrode planes on Electrical Impedance Tomography (EIT) reconstructed images is investigated. Image properties of models for various plane spacings between electrode planes on EIT imaging were investigated by applying conventional measurement strategies. Sensitivity analysis and spatial resolution analysis were used to study the influence of the…
Read MoreSocial Engineering to Establish Digital Culture in Higher Education
This study aims to discuss the establishment of digital culture in higher education as an effort of higher education to align themselves with the development of science and technology so that that higher education is always at the forefront in the enforcement and provide high-quality education. The method used in this study is a qualitative…
Read MoreSimulation Based Energy Consumption Optimization for Buildings by Using Various Energy Saving Methods
The world has turned in the modern era to reduce peak times for electricity consumption, where the peak times cause excessive load on the electricity grid and power stations. In Egypt air conditioning loads are considered the main contributing reasons for the peak time’s problem due to presence of large unshaded glazed surfaces, which cause…
Read MoreImpact of Changing Microstructural Compositions of Lime Based Mortar on Flexibility: Case Study of Sustainable Lime-Cement Composites
Lime mortar, an age-long building material is primarily popular for its flexibility, the basis of its ability to accommodate masonry deformation, hence durability. However, lime’s characteristic delayed setting/hardening time, low mechanical strength and poor internal cohesion often characterised by volumetric changes have put its use into decline. These shortcomings have therefore relegated relevance of this…
Read MoreComparative Analysis Spline Methods in Digital Processing of Signals
In this article, the Grebennikov cubic spline, the Ryabenky cubic spline, and we offer the local interpolation cubic spline models are selected. The construction details of the models were given and the processes of approximating the functions were performed using selected local cubic splines. We can also say that the local interpolation cubic spline models…
Read MoreImpact of Salinity on Stabilized Leachate Treatment from Ozonation Process
Leachate generated from landfill Indonesia is typical has high salinity and organic matters during the dry season, potentially contaminating water and the environment. An increase in salinity might deteriorate the activity of the microorganisms on the decomposition process. This research aims to study the feasibility of the ozonation technique for treating stabilized leachate. The parameters…
Read MoreImplementation of a Journalist Business Intelligence in Social Media Monitoring System
The need to update the news at this time is very important. Journalists have responsibilities as their job. Apart from conveying the correct news to the public, they must also deliver it quickly. Journalists who are tasked as news seekers must always be updated about the latest news that is viral, therefore a journalist must…
Read MoreProphet Architecture in Normalized Meter Energy Consumption Prediction on Building
Normalized Metered Energy Consumption (NMEC) is a solution for investors in determining the best energy-saving strategy for buildings. But on the other hand, investors need a fast and reliable evaluation results in measuring how effective the savings methods they use without wasting money. To address this issue, we selected Facebook’s latest predictive time series method…
Read MoreA Software-Defined Network Approach for The Best Hospital Localization Against Coronavirus (COVID-19)
Traditional networks have difficulty in meeting the technological developments and the continuous increase in the size of data to be processed. Software-Defined Network (SDN) approach has emerged as an alternative to traditional networks. SDN separates the control and data planes from each other and manages the network over the control plane with flexibility and cost…
Read MoreNemoSuite: Web-based Network Motif Analytic Suite
Biological networks represent biological systems, and various graph analysis algorithms have been applied to solve various real-world problems. Network motif analysis, as one of network analyses, is detecting frequently and uniquely over-occurring subgraph patterns in a network. The detection process requires high computational resources, and various tools have been developed to provide efficient solutions. However,…
Read MoreApplication of Deep Belief Network in Forest Type Identification using Hyperspectral Data
Forest mapping by remote sensing is a hot topics in forestry. At present, many researchers focus on the research of forest type classification or tree species identification using different machine learning methods and try to improve the accuracy of classification of satellite image. However, forest type classification using deep belief network (DBN) is still limited…
Read MoreA Computational Modelling and Algorithmic Design Approach of Digital Watermarking in Deep Neural Networks
In this paper we propose an algorithmic approach for Convolutional Neural Network (CNN) for digital watermarking which outperforms the existing frequency domain techniques in all aspects including security along with the criteria in the neural networks such as conditions embedded, and types of watermarking attack. This research addresses digital watermarking in deep neural networks and…
Read MoreESP2: Embedded Smart Parking Prototype
The technological evolution and the frequent use of the Internet as a technology within the framework of the Internet of Things and Robotics has affected various fields such as Industry 4.0, smart agriculture, smart cities, home automation and autonomous cars. These advances applied to everyday life have facilitated the implementation of new concepts to minimize…
Read MoreA Framework for Adoption and Diffusion of Mobile Applications in Africa
The adoption and diffusion of mobile applications (mobile apps) has become the base of modern activities in Africa owing to the services and values that are obtained through mobile apps innovations. More emphasis has been on the development of mobile apps whereas the adoption and diffusion process as well as their predictors are ignored or…
Read MoreFeatures Preference using Conjoint Analysis Method for E-marketplace Social Care System
With the features of the application system make it easier for users to transact, make the user feel comfortable in using the application system. The problem is that the intensity of application usage decreases judging by the application rating given by the user each time they perform a transaction, this is because the company initially…
Read MoreHigh-Performance Computing: A Cost Effective and Energy Efficient Approach
The world is witnessing unprecedented advancements in ICT (Information & Communication Technology) related fields. These advancements are further boosted with the emergence of big data. It goes without saying that big data requires two major operations: storage and processing. The latter is usually provided through High-Performance Computing (HPC) which is delivered through two main venues:…
Read MoreTime-to-Event Analysis for Recovery from Coronavirus Disease (COVID-19): A Case Study on Wuhan and Elsewhere in China from Jan 1 to Feb 11, 2020
COVID-19 is a viral disease that became a pandemic representing a very great challenge worldwide. The purpose of this article is to analyze COVID-19 patients’ data based on time- to-event analysis and identify the factors that affect the recovery time from COVID-19. The datasets that are used in this study are for cases that are…
Read MoreElasticity Based Med-Cloud Recommendation System for Diabetic Prediction in Cloud Computing Environment
Day to day huge medical data have been accumulating for diabetic diseases. The complexity of storing, processing ,analyzing and predicting the data related to diabetics is not so easy for healthcare professionals .The prediction of accurate results also has the limitation due to scale of data increasing worldwide for patients, symptoms and test results .In…
Read MoreOn Design of IoT-based Power Quality Oriented Grids for Industrial Sector
Manufacturing industry is facing several challenges in power quality and energy consumptions that play a significant role in the cost of goods sold in addition to the operational efficiency of manufacturing plants. The current techniques are not enough to manage the manufacturing processes from power perspectives as it is focusing only on the monitoring of…
Read MoreFPGA-Based Homogeneous and Heterogeneous Digital Quantum Coprocessors
Quantum computers are heterogeneous device. It consists of a main CPU and a quantum accelerator. True quantum accelerator (or coprocessor) is analog and probabilistic device. Qubits are the basic building blocks of quantum computers. But qubits can be digital. A digital qubit is similar to RISC processor pipeline and is an unique chain of digital…
Read MoreType 2 Diabetes Risk and Physical Activity in outpatients treated in Health Centers in a District of North Lima, 2020
Diabetes Mellitus Type 2 is a chronic disorder that affects the way the body metabolizes sugar (glucose) in the blood and depends on a combination of risk factors, such as genes and lifestyle. Although certain risk factors such as family history, age, or ethnicity cannot be changed, those related to diet, physical activity, and weight…
Read MoreA Novel Way to Design ADS-B using UML and TLA+ with Security as a Focus
Automatic Dependent Surveillance-Broadcast (ADS-B) is the future of aviation. It is a vast system that provides situational awareness for the aviator and regulator at a very low cost and does so with the aid of multiple disparate systems working closely together and communicating with one another. ADS-B uses the Global Navigation Satellite System (GNSS/ GPS)…
Read MoreReal-time Gradient-Aware Indigenous AQI Estimation IoT Platform
Environmental monitoring has gained significant importance in outdoor air quality measurement and assessment for fundamental survival as well as ambient assisted living. In real-time outdoor urban scale, instantaneous air quality index estimation, the electrochemical sensors warm-up time, cross-sensitivity computation-error, geo-location typography, instantaneous capacity or back up time; and energy efficiency are the six major challenges.…
Read MoreJapanese Abstractive Text Summarization using BERT
In this study, we developed and evaluated an automatic abstractive summarization algorithm in Japanese using a neural network. We used a sequence-to-sequence encoder-decoder model for practical purposes. The encoder obtained a feature-based input vector of sentences using the bidirectional encoder representations from transformers (BERT) technique. A transformer-based decoder returned the summary sentence from the output…
Read MoreSentiment Analysis in English Texts
The growing popularity of social media sites has generated a massive amount of data that attracted researchers, decision-makers, and companies to investigate people’s opinions and thoughts in various fields. Sentiment analysis is considered an emerging topic recently. Decision-makers, companies, and service providers as well-considered sentiment analysis as a valuable tool for improvement. This research paper…
Read MoreAnalysis and Evaluation of Competitiveness in Medical Tourism Industry in Taiwan
Tourism is relatively high profit, low-cost and high work opportunity industry. Medical tourism is special kind of business type in tourism industry. The characteristic of medical tourism is high threshold and high profit for hospital and government. But, fewer literatures research about competitiveness of medical tourism industry until now. Especially, medical tourism industry faces big…
Read MoreEducation Value Chain Model for Examination, Grading, and Evaluation Process in Higher Education based on Blockchain Technology
Blockchain is a solution to improve data integrity and minimize data manipulation. Blockchain technology can be used in student examination management in universities. The process of managing student examination produces some information that can be stored in a blockchain database such as information about the lecturer as the exam creator, exam proctor, student attendance, student…
Read MoreAnalysis of Learning Difficulties in Object Oriented Programming in Systems Engineering Students at UNTELS
The learning difficulties of Object-Oriented Programming can be one of the causes of failure in college students, which can even lead to student dropout. This article has the purpose of analyzing the main learning difficulties of object-oriented programming using the Java programming language in Systems Engineering students of the Universidad Nacional Tecnológica de Lima Sur…
Read MoreEfficient and Scalable Ant Colony Optimization based WSN Routing Protocol for IoT
IoT integrates and connects intelligent devices or objects with varied architectures and resources. The number of IoT devices is growing exponentially. Due to the massive wave of IoT objects, their diversity and heterogeneity among their architectures, the existing communication protocols for wireless networks become ineffective in the context of IoT. Wireless Sensor Network (WSN) has…
Read MoreDesign of Power Efficient Routing Protocol for Smart Livestock Farm Applications
The demand on livestock as a source of protein is increasing with the dramatic increase of world population which approaches 8 billion. As a result, the monitoring of the performance of livestock breeding is becoming essential. The technique which could increase livestock production and improve the efficiency of operation is digitalization of livestock management .…
Read MoreNew Properties of Crimes in Virtual Environments
Virtual reality is a technology that literally allows constructing of a new reality for its users. VR has huge potential, it is able to change social life, communications, and the academic sphere, but VR may also be applied by criminals. In the present paper properties of potentially committed crimes in VR are analyzed. It is…
Read MoreA Machine Vision Approach for Underwater Remote Operated Vehicle to Detect Drowning Humans
Today, Drowning is the 3rd major cause for unintentional injury death accounting for 7% of deaths of all injury deaths. Drowning is a state of suffocation when water or other fluids accumulate the lungs, resulting in respiratory impairment, ultimately leading to death. The predominant problem during rescue operations of such accidental drowning is to locate…
Read MoreAn Evaluation of some Machine Learning Algorithms for the detection of Android Applications Malware
Android Operating system (OS) has been used much more than all other mobile phone’s OS turning android OS to a major point of attack. Android Application installation serves as a major avenue through which attacks can be perpetrated. Permissions must be first granted by the users seeking to install these third-party applications. Some permissions can…
Read MoreTouristic’s Destination Brand Image: Proposition of a Measurement Scale for Rabat City (Morocco)
The objective of this article is to highlight the existing relationship between the tourist’s destination brand image of the city of Rabat (Morocco) and its choice by foreign tourists to be visited once again. We suggest a reliable measurement scale able to measure the dimensions and associations of the brand image most memorized by tourists,…
Read MoreThe Designing of Institute’s Educational Mascots for Brand Identity
The purpose of this study is to show how to design the character used as the symbol or Mascot of the educational institution and how to apply the design results into advertising and Brand identity design such as printing art, poster, digital media, toy, and souvenir. In this study, the ideas of mascot design have…
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