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Keyword: SupportClassification of Wing Chun Basic Hand Movement using Virtual Reality for Wing Chun Training Simulation System
To create a Virtual Reality (VR) system for Wing Chun’s basic hand movement training, capturing, and classifying movement data is an important step. The main goal of this paper is to find the best possible method of classifying hand movement, particularly Wing Chun’s basic hand movements, to be used in the VR training system. This…
Read MorePredicting Student Academic Performance Using Data Mining Techniques
There is a crisis in basic education during this pandemic which affected everyone worldwide, we see that teaching and learning have gone online which has effected student performance. Student’s academic performance needs to be predicted to help an instructor identify struggling students more easily and giving teachers a proactive chance to come up with supplementary…
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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 MoreApproach to a Logistic Model to Reduce Costs for Delivery at Home of a Seller of Supplies in Times of Coronavirus
Logistics is a science and art that has been widely used by large commercial chains, whose main objectives focus on the distribution of products or services. This understanding has generated various logistics studies directed towards those businesses, without considering that science can also be applied to small or medium enterprises. The present study initially executes…
Read MoreAn Overview on CryptDb and Word2vec Approaches
Big data is a vast data set that was used in many areas. Online applications are subject to theft of confidential information because opponents can exploit software errors to access private data, and because curious or malicious officials can capture and lose data. CryptDB is a functional system that provides security and confidentiality through a…
Read MoreResilience Assessment of System Process Through Fuzzy Logic: Case of COVID-19 Context
The present work is undertaken as part of research studies aiming to provide sociotechnical systems with a decision-making tool that supports them in assessing the resilience of their processes. The ultimate objective is to fix the identified imperfections in order to steadily gain strength and effectiveness to cope with new and existing threats and challenges.…
Read MoreTolerance of Characteristics and Attributes in Developing Student’s Academic Achievements
The purpose of this research is to study the relevance of factors for the analysis of the effectiveness of suitable educational institutions that illustrate the significance of the characteristics and attributes of the student’s academic achievements and to identify the acceptance and tolerance of each attribute, which supports lifelong learning. The data used in this…
Read MoreUnderstanding Risk Assessment in the Context of Fractional Ownership using Ethereum Smart Contract
Ethereum smart contract system has seen a steady adoption as it continues to support tens of thousands of contracts. This feature has evolved to give a practical shape to the ideas leading up to fractional ownership transfer, using advanced smart contracts such as ERC-981. However, alongside its numerous benefits, various risks arise with the actual…
Read MoreDense SIFT–Flow based Architecture for Recognizing Hand Gestures
Several challenges like changes in brightness, dynamic background, occlusion and inconsistency of camera position make the recognition of hand gestures difficult in any vision-based method. Diversity in finger shape, size, distribution and motion dynamics is also a big constraint. This leads to the motivation in developing a dense Scale Invariant Feature Transform (SIFT) flow based…
Read MoreUsing Big Data Analytics to Predict Learner Attrition based on First Year Marks at a South African University
Due to high failure rates many students end up spending unnecessary years struggling to qualify and subsequently accumulate unnecessary debt. In this paper, our principal contribution is to provide an expert system that statistically predicts the success of a first year student in an undergraduate Science programme given only academic merit in their subject matter.…
Read MoreEnglish as a Foreign Language Learning Students’ Perceptions of Blended Learning in University Institutions: A Case Study of a University in UAE
This study aims to review English as a foreign language learning students’ perception of blended learning on various aspects of learning process. The study seeks to answer the question as to whether there is any correlation among students derived independent variable and their perception with respect to the merits and demerits of online blended learning.…
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