Volume 6, Issue 4

We propose a novel framework exploiting domain-aware aspect similarity for solving the multi- source cross-domain sentiment classification problem under the constraint of little labeled data. Existing works mainly focus on identifying the common sentiment features from all domains with weighting based on the coarse-grained domain similarity. We argue that it might not provide an accurate…

A reconfigurable Stepped Frequency Continuous Wave (SFCW) radar prototype for supporting the italian financial police to contrast smuggling, is proposed in this work. In particular, the proposed radar can provide information related to the container contents and the presence of false bottoms speeding up the control operations at borders and ports. Moreover, it is able…

Classical clustering algorithms often require an a-priori number of expected clusters and the presence of all documents beforehand. From practical point of view, the use of these algorithms especially in more dynamic environments dealing with growing or shrinking corpora therefore is not applicable. Within the last years, graph-based representations of knowledge such as co-occurrence graphs…

This paper makes a statistical analysis of some indicators that characterize the environment of students admitted to public and private Institutions of Higher Education i.e. university level institutions, presenting an overview to the distribution of these students in the key areas of study that these institutions offer such as: Arts, Agriculture, Natural Sciences, Social Sciences,…

The new generation of mobile communications and the recent advances in data management are going to enable a fast transformation in the health sector of many countries. 5G networks, with superior technical characteristics, would allow the development of a new set of application and services gathered under the concept of eHealth. In this article we…

This paper is an extended version of work published in IPFA 2020. In the previous paper, advanced physical failure analysis (PFA) techniques for rescuing damaged samples with cracks, scratches, or unevenness in delayering are introduced. In the present work, the techniques will be further exploited and summarized for the potential applications in general devices. The…

Research focused on training and testing of dataset after Optimizing Software Component with the help of deep neural network mechanism. Optimized components are selected for training and testing to improve the accuracy at the time of software selection. Selected components are required to be attuned and accommodating as per requirement. Soft computing mechanism such as…

Just as industry is dynamic, constantly evolving according to the state of technology, economics, politics and so on, so must be, higher education. Studies have shown that higher education, for the past century, has constantly adapted to the dynamic skill and knowledge requirements of industry. This adaptation, however, is not always timeous and precise resulting…

This paper analyzes the challenges a middle-sized city faces, particularly the Metropolitan Zone of Pachuca (MZP), which has not had the expected development given its current geographic, competitiveness, and crisis circumstances. The research proposes a systemic methodology for the analysis of the aforementioned Metropolitan Area. It emphasizes its internal and external behavior, the competitive environment…

The Hamming neural network is an effective tool for solving problems of recognition and classification of objects, the components of which are encoded using a binary bipolar alphabet, and as a measure of the objects’ proximity the difference between the number of identical bipolar components which compared include objects and the Hamming distance between them…

Lab sessions in Engineering Education are designed to reinforce theoretical concepts. However, there is usually not enough time to reinforce all of them. Remote and virtual labs give students more time to reinforce those concepts. In particular, with remote labs, this can be done interacting with real lab instruments and specific configurations. This work proposes…

Identification of Kamphaeng Saen beef cattle is important of the registration and traceability purposes. For a traditional identification methods, Hot Branding, Freeze Branding, Paint Branding, and RFID Systems can be replaced by genius human. This paper proposed a Kamphaeng Saen beef cattle identification approach using muzzle print images as an Animal Biometric approach. There are…

The Ministry of Finance is the state ministry in charge of state financial affairs which has two functions, namely the Chief Financial Officer (CFO) as the State General Treasurer and the Chief Operating Officer (COO) as a Budget User. As COO, the Ministry of Finance is expected to be able to provide information related to…

In research project, efficiency comparison study in prediction of normalization with data mining classification. The purpose of the research was to compare three normalization methods in term of classification accuracy that the normalized data provided: Z-Score, Decimal Scaling and Statistical Column. The six known classifications: K-Nearest Neighbor, Decision Tree, Artificial Neural Network, Support Vector Machine,…

This study aims to design a gamification affordances pedagogy. Affordances are the ways in which we perceive environments to support the needs of learners in the educational system. The main questions are how gamification elements can influence student engagement to improve their affordances. Affordance behavior is a human behavior that refers to a mindset; an…

This study aimed to develop an airflow-vibrator motivated facility and assess exercise behaviors. The combination design involved computer-controlled airflow/ vibrators, a user interface program, and an adjustable structure presenting interaction options. The teacher and the participants can choose specific music with adjustable speed. The researcher did interviews during the initial test and field study. During…

Transformers are habitually designed and manufactured for operation at a fundamental frequency of 50Hz and sinusoidal load current. Transformers are susceptible to non-linear loads. The inception of switching action characterises Non-linear loads and consequently nonsinusoidal load current which brings about higher transformer service losses, hotspot temperature rise, and degradation of cellulosic and liquid insulation, and…

The objective of this research is to propose the estimator of the population mean for incomplete data by using information of simple linear relationship model in the data set. In addition, the factorization of the likelihood function is created to derive the maximum likelihood estimator for the population mean. The simulation study was conducted for…

The importance of rare earth resources is increasing and a lot of investigations are conducting all over the world. As a result, it was discovered that abundant deep-sea mud contained rare-earth elements on the deep-sea floor. The suction mining method can be one of the effective seabed mining methods to recover these seafloor sediments. However,…

Multi-Robot System (MRS) is a complex system that contains many different software and hardware components. This main problem addressed in this article is the MRS design complexity. The proposed solution provides a modular modeling and simulation technique that is based on formal system engineering method, therefore the MRS design complexity is decomposed and reduced. Modeling…

Educators should be considered the learning style of students so that the best practice approach can be applied in learning activities. As students understand their learning style, they will be able to integrate it into their learning process. Kolb Learning Style was the learning style that was widely used based on the theory of learning…

Although the perception of Environmental Kuznets Curve (EKC) has been thoroughly investigated, but there is inconsistency in the results. The relationship between nitrous oxide (N2O) emissions, financial development, economic growth, foreign direct investment, and electric power consumption in Bahrain over the period 1980 – 2012 is examined in this paper. The autoregressive distributed lags (ARDL)…

In control systems, several optimization problems have been overcome using Multi-Agent Sys- tems (MAS). Interactions of agents and the complexity of the system can be understood by using MAS. As a result, functional models are generated, which are closer to reality. Nevertheless, the use of models with permanent availability of information between agents is assumed…

This paper addresses experiments with Scratch-developed games in the robotics introduction course at the Federal University of Technology – Paraná. It aims at assisting learning of classical and initial robotics concepts. This proposal, similar to the classic 80s war tanks game on Atari 2600, was developed using an autonomous vehicle. In the first experiment, applied…

Combinatorial software testing is regarded as a crucial part when it comes to the software development life cycle. However, it would be impractical to exhaustive test highly configurable software due to limited time as well as resources. Moreover, a combinatorial testing strategy would be to employ input-output-based relations (IORs) due to its benefits versus other…

In this investigation, an integrated physics-informed deep learning and topology optimization approach for solving density-based topology designs is presented to accomplish efficiency and flexibility. In every iteration, the neural network generates feasible topology designs, and then the topology performance is evaluated using the finite element method. Unlike the data-driven methods where the loss functions are…

Humans have experienced motion sickness and possessed the knowledge of stereopsis since classical antiquity. Knowledge of stereopsis dates back to approximately 300 B.C., when Euclid first recognized the concept of depth perception in human vision. Further, the motion sickness is including a sensation of wooziness and nausea that has been documented since approximately 400 B.C.,…

Estimation of optimal Air or oxygen is important for the combustion process to be efficient and produce more energy. This is to be based on each component of the fuel and the air, considering their respective pressure and density. At first, this research investigates the role of , ,  present in combination with , and…

Survivability of systems is a very important system property and consists major concern for organizations and companies. Survivable systems should maintain their critical services functional in a timely manner. There are several approaches, proposed in the literature, on how to develop survivable telecommunication systems, but the majority is based on node outages or path failures,…

An automatic speech recognition (ASR) is a key technology for preventing an ongoing global coronavirus epidemic. Due to the limited corpus database and the morphological diversity of the Thai language, Thai speech recognition is still difficult. In this research, the automatic speech recognition model was built differently from the traditional Thai NLP systems by using…

There is no doubt that energy is one of the most important requirements of life, and its importance increases with the passage of time, and this is what make countries to harness the capabilities and scientists in developing energy systems of all kinds, one of the most important energy systems these days is what is…

This study evaluated the competencies related to digital information use through technological tools aiming to acquire applicable knowledge by searching and retrieving information. Methodologically, a quasi-experimental design without a control group was applied to a sample of primary education students from Chile (n=266). First, a diagnosis of the digital-informational skills is performed, and, later, the…

This paper addresses the stock management aspect. Through this work, we provide a dynamic model of dimensioning and allocation of stocks to storage location for the automotive industry field. This model takes into consideration all constraints of the supply chain (24 constraints) from the suppliers passing by production, storage up to customer delivery and transport.…

This paper presents the designs and the simulations of proposed structures of electronically frequency reconfigurable planar bow-tie antenna. In the first part, a modified wide band self-complementary bow-tie antenna is designed and implemented. In the second part, varactor and PIN diodes are integrated in top side to adjust electronically the modified structure of bow-tie antenna…

To effectively implement the social distancing or digital contact tracing in epidemic using an RSSI-based localization approach through Bluetooth beacon is one of the most widely used technologies, but simply using RSSI measurement is not more relevant because the RF signal is affected by several factors and the environment of usage. Traditional distance or positioning…

The energy states, transitions chances, oscillator intensities, and collision intensities were computed with FAC (fully relativistic flexible atomic code) program. The calculated results were utilized for identification of the reduced population to sixty-nine thin structural states in C-like Zn (XXV) and indicates the gain coefficients with several electron densities (from 10+20 to 10+22 cm3) and…

Wireless sensor networks are an emerging technology that is used to monitor points or objects of interest in an area. Despite its many applications, this kind of network is often limited by the fact that it is difficult to provide energy to the nodes continuously, forcing the use of batteries, which restricts its operations. Network…

In this article, a fuzzy-based solution of coordination between behaviors of trajectory planning and obstacle avoiding in a RRP-typed SCARA robot control is presented. The first idea of the proposed solution is to divide a robot’s complex behavior into simpler parallel behaviors. The second key idea is a fuzzy-based coordination between these behaviors to make…

Stepping-stone intrusion has been widely used by professional hackers to launch their attacks. Unfortunately, this important and typical offensive skill has not been taught in most colleges and universities. In this paper, after surveying the most popular detection techniques in stepping-stone intrusion, we develop 10 hands-on labs to enhance student-learning experience in cybersecurity education. The…

Serious games (SGs) are interactive and entertaining digital games with a special educational purpose. Studies have shown that SGs are effective in enhancing educational skills. Cognitive skills training through serious games have been used in improving students learning outcomes. In this article, we introduce the ‘plants kingdom’ serious game for improving adolescents’ cognitive skills, mainly…

The intention of this research is to study and design an automated agriculture commodity price prediction system with novel machine learning techniques. Due to the increasing large amounts historical data of agricultural commodity prices and the need of performing accurate prediction of price fluctuations, the solution has largely shifted from statistical methods to machine learning…

In devices using Windows operating system based on x86 system, the real-time performance is not guaranteed by Windows. It is because Windows is not a real-time operating system. Users who develop applications in such a Windows environment generally use commercial solutions such as the RTX or the INtime to provide real-time performance to the system.…

Technical safety and health are especially important for mining-extracting industry. Even though the respective lows and good engineering practices exist, technologies develop and could address even better security for humans and equipment. The research question is to survey microclimate sensors in underground mining and to find whether they are ready for automation. The article is…

Quantum logic gates represent certain quantum operations to perform quantum computations. Of those quantum gates, there is a category of classical behavior gates called quantum permutation gates. As a quantum algorithm, quantum permutation pad or QPP consists of multiple quantum permutation gates to be implemented both in a quantum computing system as a quantum circuit…

The development of Machine Learning methods and approaches offers enormous growth opportunities in the Healthcare field. One of the most exciting challenges in this field is the automation of clinical treatment selection for patient state optimization. Using necessary medical data and the application of Machine Learning methods (like the Genetic Algorithm and the Analytic Hierarchy…

With the advent of Big Data, we are witnessing a rapid and varied production of huge amounts of sequential data that can have multiple dimensions, we speak of data streams. The characteristics of these data streams make their processing and storage very difficult and at the same time reduce the possibilities of querying them a…

In the past decade, multiple anthropomorphic prosthetic hands have been developed to replace the role of human hands. Prostheses should not only replace the functions of human hands in functionality but also replicate human hands in appearance and sense of body-belonging intuitively. Human fingers have very delicate and complex structures, and it is these complex…