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The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

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IJACSA Vol. 11 Issue 3 (2020)

Open Access | | 89 papers

Copyright Statement: This is an open access publication licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

1

Apple Carving Algorithm to Approximate Traveling Salesman Problem from Compact Triangulation of Planar Point Sets

Author 1: Marko Dodig Author 2: Milton Smith

We propose a modified version of the Convex Hull algorithm for approximating minimum-length Hamiltonian cycle (TSP) in planar point sets. Starting from a full compact triangulation of a point set, our heuristic “carves out” candidate triangles with the minimal Triangle Inequality Measure until all points lie on the outer perimeter… Read full abstract & cite →

TSP heuristics combinatorial optimization computational geometry compact triangulation
2

Real-Time Cryptocurrency Price Prediction by Exploiting IoT Concept and Beyond: Cloud Computing, Data Parallelism and Deep Learning

Author 1: Ajith Premarathne Author 2: Malka N. Halgamuge Author 3: R. Samarakody Author 4: Ampalavanapillai Nirmalathas

Cryptocurrency has as of late pulled in extensive consideration in the fields of economics, cryptography, and computer science due to it is an encrypted digital currency, peer- to- peer virtual forex produced using codes, and it is much the same as another medium of the trade like real cash. This… Read full abstract & cite →

Internet of things IoT data parallelism deep learning cloud computing
3

The New High-Performance Face Tracking System based on Detection-Tracking and Tracklet-Tracklet Association in Semi-Online Mode

Author 1: Ngoc Q. Ly Author 2: Tan T. Nguyen Author 3: Tai C. Vong Author 4: Cuong V. Than

Despite recent advances in multiple object tracking and pedestrian tracking, multiple-face tracking remains a challenging problem. In this work, the authors propose a framework to solve the problem in semi-online manner (the framework runs in real-time speed with two-second delay). The proposed framework consists of two stages: detection-tracking and tracklet-tracklet… Read full abstract & cite →

Face tracking face re-identification detection-tracking tracklet-tracklet association
4

Mobile Sensor Node Deployment Strategy by using Graph Structure based on Estimation of Communication Connectivity and Movement Path

Author 1: Koji Kawabata Author 2: Tsuyoshi Suzuki

We propose a multiple-mobile sensor node (MSN) deployment strategy that considers wireless communication quality and operation time of underground wireless sensor networks. After an underground disaster, it is difficult to perform a rescue operation because the internal situation cannot be confirmed. Hence, gathering information using a teleoperated robot has been… Read full abstract & cite →

Wireless sensor networks deployment strategy communication connectivity
5

Classification of Malignant and Benign Lung Nodule and Prediction of Image Label Class using Multi-Deep Model

Author 1: Muahammad Bilal Zia Author 2: Zhao Juan Juan Author 3: Xujuan Zhou Author 4: Ning Xiao Author 5: Jiawen Wang Author 6: Ammad Khan

Lung cancer has been listed as one of the world’s leading causes of death. Early diagnosis of lung nodules has great significance for the prevention of lung cancer. Despite major improvements in modern diagnosis and treatment, the five-year survival rate is only 18%. Before diagnosis, the classification of lung nodules… Read full abstract & cite →

Lung nodule classification dilated blocks dual DCNNs multi-task learning multi-deep model
6

ECG and EEG Pattern Classifications and Dimensionality Reduction with Laplacian Eigenmaps

Author 1: Monica Fira Author 2: Liviu Goras

In this paper, we investigate the effect of dimensionality reduction using Laplacian Eigenmap (LE) in the case of several classes of electroencephalogram (EEG) and electrocardiographic (ECG) signals. Classification results based on a boosting method for EEG signals exhibiting P300 wave and k-nearest neighbour for ECG signals belonging to 8 classes… Read full abstract & cite →

Laplacian Eigenmaps dimensionality reduction biosignals electrocardiographic signal (ECG) electroencephalogram (EEG)
7

A Solution to the Hyper Complex, Cross Domain Reality of Artificial Intelligence: The Hierarchy of AI

Author 1: Andrew Kear Author 2: Sasha L. Folkes

Artificial Intelligence (AI) is an umbrella term used to describe machine-based forms of learning. This can encapsulate anything from Siri, Apple’s smartphone-based assistant, to Tesla’s autonomous vehicles (self-driving cars). At present, there are no set criteria to classify AI. The implications of which include public uncertainty, corporate scepticism, diminished confidence… Read full abstract & cite →

Artificial intelligence classification ground truth value Hierarchy of AI Model of AI
8

An Ontology Driven ESCO LOD Quality Enhancement

Author 1: Adham Kahlawi

The labor market is a system that is complex and difficult to manage. To overcome this challenge, the European Union has launched the ESCO project which is a language that aims to describe this labor market. In order to support the spread of this project, its dataset was presented as… Read full abstract & cite →

ESCO linked open data ontology semantic web data quality SPARQL OWL metadata
9

Implementation of a Proof of Concept for a Blockchain-based Smart Contract for the Automotive Industry in Mauritius

Author 1: Keshav Luchoomun Author 2: Sameerchamd Pudaruth Author 3: Somveer Kishnah

In recent years, there has been a growth of interest in the blockchain technology across a wide range of industries. Blockchain technology has the potential to transform the way businesses operate especially in the automotive industry. The distributed infrastructure and the secure nature of the blockchain technology encourages trust among… Read full abstract & cite →

Blockchain smart contract hyperledger fabric vehicles Mauritius
10

Method for Rainfall Rate Estimation with Satellite based Microwave Radiometer Data

Author 1: Kohei Arai

Method for rainfall rate estimation with satellite based microwave radiometer data is proposed. A method to consider the geometric relationship of the observed ice particles and microwave radiometer in the estimation of precipitation is shown, and its validity is shown by comparing it with precipitation radar data on the ground… Read full abstract & cite →

Rainfall rate estimation Advanced Microwave Scanning Radiometer: AMSR geometric relation
11

Image-based Individual Cow Recognition using Body Patterns

Author 1: Rotimi-Williams Bello Author 2: Abdullah Zawawi Talib Author 3: Ahmad Sufril Azlan Mohamed Author 4: Daniel A. Olubummo Author 5: Firstman Noah Otobo

The existence of illumination variation, non-rigid object, occlusion, non-linear motion, and real-time implementation requirement has made tracking in computer vision a challenging task. In order to recognize individual cow and to mitigate all the challenging tasks, an image processing system is proposed using the body pattern images of the cow… Read full abstract & cite →

Cow body patterns convolutional neural network image recognition
12

Modeling Network Security: Case Study of Email System

Author 1: Sabah Al-Fedaghi Author 2: Hadeel Alnasser

We study operational security in computer network security, including infrastructure, internal processes, resources, information, and physical environment. Current works on developing a security framework focus on a security ontology that contributes to applying common vocabulary, but such an approach does not assist in constructing a foundation for a holistic security… Read full abstract & cite →

Network security conceptual model diagrammatic representation email system
13

Usability Study of Smart Phone Messaging for Elderly and Low-literate Users

Author 1: Rajibul Anam Author 2: Abdelouahab Abid

Smartphones are electronic devices that people can carry around and install/add compatible third-party Apps to expend their functionality. Smartphones are mainly developed for calling and messaging purposes. All applications’ interfaces are designed for the current trends. Therefore, Senior Citizen and Low-literate users face difficulties to use smartphones due to the… Read full abstract & cite →

Smartphone interface smartphone messaging visual color adaptation
14

Improved Control Strategies of Electric Vehicles Charging Station based on Grid Tied PV/Battery System

Author 1: Abdelilah Hassoune Author 2: Mohamed Khafallah Author 3: Abdelouahed Mesbahi Author 4: Tarik Bouragba

In this paper, improved control strategies of a smart topology of EVs charging station (CS) based on grid tied PV/Battery system are designed and analyzed. The proposed strategies consist of three operating modes i.e. Pv2B; charging a battery storage buffer (BSB) of the CS from solar energy, V2G; discharging an… Read full abstract & cite →

component Electric vehicle charging station solar energy battery storage buffer electrical grid charging station management algorithm
15

Problem based Learning with Information and Communications Technology Support: An Experience in the Teaching-Learning of Matrix Algebra

Author 1: Norka Bedregal-Alpaca Author 2: Olha Sharhorodska Author 3: Doris Tupacyupanqui-Jaen Author 4: Victor Corneko-Aparicio

Students and teachers face problems in the teaching-learning processes of matrix algebra, due to the level of abstraction required, the difficulty of calculation and the way in which the contents are presented. Problem-based Learning (PBL) arises as a solution to this problem, as it contextualizes the contents in everyday life… Read full abstract & cite →

Problem-based learning cooperative techniques constructionism matrix algebra
16

Project based Learning Application Experience in Engineering Courses: Database Case in the Professional Career of Systems Engineering

Author 1: César Baluarte-Araya

In many universities, training research is applied in courses as a basic element of research and fundamental in the professional training of every student, which result in strengthening and increasing knowledge about certain areas, as well as to achieve skills, competence, abilities and attitudes. The present work shows the formal… Read full abstract & cite →

Project based learning formative research competences skills formative research report
17

Heart Rate Monitoring with Smart Wearables using Edge Computing

Author 1: Stephen Dewanto Author 2: Michelle Alexandra Author 3: Nico Surantha

Heart is a vital component of every human health. The development of wearables and its sensor enables the possibility of easy-to-use real-time monitoring. The goal of this study is to improve an IoT monitoring system by enabling real-time heart rate monitoring and analysis, also to assess the use of PPG… Read full abstract & cite →

Internet-of-things heart rate smart wearables real-time monitoring
18

Prediction of Prostate Cancer using Ensemble of Machine Learning Techniques

Author 1: Oyewo O. A Author 2: Boyinbode O.K

Several diseases are associated with humans; some are synonymous to female and some to male. Example of diseases synonymous to the male gender is Prostate Cancer (PC). Prostate cancer occurs when cells in the prostate gland starts to grow uncontrollably. Statistics shows that prostate cancer is becoming an epidemic among… Read full abstract & cite →

Prostate cancer machine learning support vector machine decision tree multilayer perceptron diseases
19

WoT Communication Protocol Security and Privacy Issues

Author 1: Sadia Murawat Author 2: Fahima Tahir Author 3: Maria Anjum Author 4: Mudasar Ahmed Soomro Author 5: Saima Siraj Author 6: Zojan Memon Author 7: Anees Muhammad Author 8: Khuda Bux

In this paper, we have proposed a novel approach for the prevention of the Internet of Things (IoT) from fake devices and highlighted privacy issues by using third party Application Program Interface (RestAPI) in Web of Things (WoT). For the ease of life, the usage of IoT devices, sensors, and… Read full abstract & cite →

Internet of Things Web of Things WoT security issues privacy issues protocols MQTT CoAP
20

Smart Energy Control Internet of Things based Agriculture Clustered Scheme for Smart Farming

Author 1: Sabir Hussain Awan Author 2: Sheeraz Ahmed Author 3: Zeeshan Najam Author 4: Muhammad Yousaf Ali Khan Author 5: Asif Nawaz Author 6: Muhammad Fahad Author 7: Muhammad Tayyab Author 8: Atif Ishtiaq

The era of smart farming has already begun, and its consequences for society and environment are expected to be massive. In this situation, Internet of Things (IoT) technologies have become a key route towards new agricultural practices. IoT nodes detect and track physical or environmental conditions and transmit data through… Read full abstract & cite →

Agriculture IoT network energy scheme
21

Video Genre Classification using Convolutional Recurrent Neural Networks

Author 1: K Prasanna Lakshmi Author 2: Mihir Solanki Author 3: Jyothi Swaroop Dara Author 4: Avinash Bhargav Kompalli

A wide amount of media in the internet is in the form of video files which have different formats and encodings. Easy identification and sorting of videos becomes a mammoth task if done manually. With an ever-increasing demand for video streaming and download, the Video Classification problem is brought into… Read full abstract & cite →

Convolutional recurrent neural networks video classification temporal and spatial aspects machine learning computer vision images classification audio classification
22

Mobility Management Challenges and Solutions in Mobile Cloud Computing System for Next Generation Networks

Author 1: L. Pallavi Author 2: A. Jagan Author 3: B. Thirumala Rao

As of late, there is a dynamic improvement in the field of mobile computing, and mobile cloud computing (MCC) has been familiar with a potential development for portable administrations. Likewise, the mobile phones and their applications have high framework in the administration at any point and grow more rapidly. Again… Read full abstract & cite →

Mobility management energy consumption network resource management traffic management security management
23

State-of-the-Art Reformation of Web Programming Course Curriculum in Digital Bangladesh

Author 1: Susmita Kar Author 2: Md. Masudul Islam Author 3: Mijanur Rahaman

For last 15 years universities around the world are continuously developing effective curricula for Web Engineering in order to create good opportunities for graduates to cope up with IT-Software industries. From this study we will show the gap between the skill requirements of IT-Software industries and universities’ web course curricula… Read full abstract & cite →

Web engineering web development outcome based learning CDIO web course curriculum web ecosystem digital Bangladesh
24

Improving Performance of the Multiplexed Colored QR Codes

Author 1: Islam M. El-Sheref Author 2: Fatma A. El-Licy Author 3: Ahmed H. Asad

The vast popularity and useful applications of the QR code were the incentives that encourage the research towards improving its storage capacity and performance. A colored quick response (QR) algorithm is proposed, devised and tested to expand the capacity of the black and white modules to hold colored modules that… Read full abstract & cite →

Quick response codes colored quick response codes data capacity enhancement multiplexing quick response color coding
25

An Enhanced Twitter Corpus for the Classification of Arabic Speech Acts

Author 1: Majdi Ahed Author 2: Bassam H. Hammo Author 3: Mohammad A. M. Abushariah

Twitter has gained wide attention as a major social media platform where many topics are discussed on daily basis through millions of tweets. A tweet can be viewed as a speech act (SA), which is an utterance for presenting information, hiding indirect meaning, or carrying out an action. According to… Read full abstract & cite →

Arabic speech acts twitter modern standard Arabic speech act classification
26

Recognition of Image in Different Cameras using an Improved Algorithm in Viola-Jones

Author 1: Washington Garcia-Quilachamin Author 2: Luzmila Pro - Concepción

Technological evolution through computer tools has given rise to tasks of impossible recognition for an ordinary man, but at the same time favorable for the safety of people. Deep learning is considered a tool that uses images and video to detect and interpret real-world scenes. Therefore, it is necessary to… Read full abstract & cite →

Algorithm video surveillance cameras image of a person
27

An Improved RDWT-based Image Steganography Scheme with QR Decomposition and Double Entropy

Author 1: Ke-Huey Ng Author 2: Siau-Chuin Liew Author 3: Ferda Ernawan

This paper introduces an improved RDWT-based image steganography with QR decomposition and double entropy system. It demonstrates image steganography method that hides grayscale secret image into grayscale cover image using RDWT, QR decomposition and entropy calculation. The proposed scheme made use of the human visual system (HVS) in the embedding… Read full abstract & cite →

Steganography image steganography transform domain Redundant Discrete Wavelet Transform (RDWT) QR decomposition entropy human visual system (HVS) imperceptibility
28

Spectrum Occupancy Measurement of Cellular Spectrum and Smart Network Sharing in Pakistan

Author 1: Aftab Ahmed Mirani Author 2: Sajjad Ali Memon Author 3: Saqib Hussain Author 4: Muhammad Aamir Panhwar Author 5: Syed Rizwan Ali Shah

In wireless communication, the radio spectrum is a very rare and precious resource that has currently become a major problem to efficiently exploit the underutilized band of the static allocated licensed band. Recently, the cognitive radio (CR) has emerged as a promising technology to overcome the spectrum crisis, in which… Read full abstract & cite →

Cognitive radio spectrum occupancy cellular networks spectrum analyzer mobile network operators sharing models passive infrastructure sharing
29

Analysis on the Requirements of Computational Thinking Skills to Overcome the Difficulties in Learning Programming

Author 1: Karimah Mohd Yusoff Author 2: Noraidah Sahari Ashaari Author 3: Tengku Siti Meriam Tengku Wook Author 4: Noorazean Mohd Ali

Programming has evolved as an effort to strengthen science, technology, engineering and mathematics (STEM). Programming is a complex process, especially for novices, since it requires problem-solving skills to solve problems of developing algorithms and programme codes. Problem-solving competencies, which are necessary as 21st-century skills, include a set of cognitive skills… Read full abstract & cite →

Problem-solving STEM difficulties in learning programming cognitive novice
30

Adapted Lesk Algorithm based Word Sense Disambiguation using the Context Information

Author 1: Manish Kumar Author 2: Prasenjit Mukherjee Author 3: Manik Hendre Author 4: Manish Godse Author 5: Baisakhi Chakraborty

The process of identifying the meaning of a polysemous word correctly from a given context is known as the Word Sense Disambiguation (WSD) in natural language processing (NLP). Adapted Lesk algorithm based system is proposed which makes use of knowledge based approach. This work utilizes WordNet as the knowledge source… Read full abstract & cite →

Word Sense Disambiguation natural language processing WordNet context machine translation
31

An Application of Zipf's Law for Prose and Verse Corpora Neutrality for Hindi and Marathi Languages

Author 1: Prafulla B. Bafna Author 2: Jatinderkumar R. Saini

Availability of the text in different languages has become possible, as almost all websites have offered multilingual option. Hindi is considered as official language in one of the states of India. Hindi text analysis is dominated by the corpus of stories and poems. Before performing any text analysis token extraction… Read full abstract & cite →

Marathi NLP Synset Zipf’s law
32

Logical Intervention in the Form of Work Breakdown Strategy using Object Constraint Language for e-Commerce Application

Author 1: Shikha Singh Author 2: Manuj Darbari

This paper proposes a framework for Rule Based inhibition on e-commerce website for prevention of double payment and computing time invariant for concurrent event handling. Authors have analyzed computational models in terms of Customer segmentation replicating their buying characteristics and Dialogue level constraint establishment through OCL. The tool used are… Read full abstract & cite →

OCL e-commerce concurrent handling work breakdown structure augmented querying
33

Adaptive Scheduling Design for Time Slotted Channel Hopping Enabled Mobile Adhoc Network

Author 1: Sridhara S. B Author 2: Ramesha M Author 3: Veeresh Patil

Industrial Internet of things (IIOT) applications comprises the wearable sensor devices for human activity monitoring; these devices generate the continuous data at higher data rate and it is powered through the battery. Hence, it restricts the uses of wireless protocol such as IEEE 802.15.4 and BLE (Bluetooth Low Energy). Moreover… Read full abstract & cite →

6TiSCH access fairness energy efficiency MANET (Mobile Ad Hoc Network) TSCH (Time Slotted Channel Hopping) scheduling
34

JeddahDashboard (JDB): Visualization of Open Government Data in Kingdom of Saudi Arabia

Author 1: Mashael Khayyat

Open data is data that anyone can freely use, access and redistribute without financial, legal or even technical restrictions. Accordingly, all governmental and non-governmental organizations may publish data that they own open for various purposes on the Internet without any restrictions such as (climate statistics, education statistics, transportation, industry, water… Read full abstract & cite →

Open Data Open Government Data visualization Dashboard Saudi Arabia KSA
35

Optimizing Genetic Algorithm Performance for Effective Traffic Lights Control using Balancing Technique (GABT)

Author 1: Mahmoud Zaki Iskandarani

Genetic Algorithm (GA) is implemented and simulation tested for the purpose of adaptable traffic lights management at four roads-intersection. The employed GA uses hybrid Boltzmann Selection (BS) and Roulette Wheel Selection techniques (BS-RWS). Selection Pressure (SP) and Population (Pop) parameters are used to tune and balance the designed GA to… Read full abstract & cite →

Genetic algorithm traffic lights intelligent transportation systems correlation roulette wheel selection boltzmann selection selection pressure population
36

A New Approach for Multi-Level Evaluation of Strategic Educational Goals

Author 1: Mohammad Alhaj Author 2: Mohammad Hassan Author 3: Abdullah Al-Refai

Educational organizations with multiple level of management promotes for their strategic educational goals as a correlated and clustered data. The typical assessment and feedback approaches are paper-based where word documents and flowcharts are used to evaluate strategic educational goals augmented with quantitative indicators. Unfortunately, the paper-based approach often neglects the… Read full abstract & cite →

Evaluation process goal model multi-level modelling goal requirement language program educational goals
37

A Modified Weight Optimization for Artificial Higher Order Neural Networks in Physical Time Series

Author 1: Noor Aida Husaini Author 2: Rozaida Ghazali Author 3: Nureize Arbaiy Author 4: Norhamreeza Abdul Hamid Author 5: Lokman Hakim Ismail

Many methods and approaches have been proposed for analyzing and forecasting time series data. There are different Neural Network (NN) variations for specific tasks (e.g., Deep Learning, Recurrent Neural Networks, etc.). Time series forecasting are a crucial component of many important applications, from stock markets to energy load forecasts. Recently… Read full abstract & cite →

Modified Cuckoo Search Markov Chain Monté Carlo MCS-MCMC neural networks higher order time series forecasting
38

Remote Sensing Satellite Image Clustering by Means of Messy Genetic Algorithm

Author 1: Kohei Arai

Messy Genetic Algorithm (GA) is applied to the satellite image clustering. Messy GA allows to maintain a long schema, due to the fact that schema can be expressed with a variable length of codes, so that more suitable cluster can be found in comparison to the existing Simple GA clustering… Read full abstract & cite →

Genetic Algorithm: GA Messy GA Simple GA clustering introduction
39

Improve Speed Real-Time Rendering in Mixed Reality HOLOLENS during Training

Author 1: Rafeek Mamdouh Author 2: Hazem M. El-Bakry Author 3: Alaa Riad Author 4: Nashaat El-Khamisy

Augmented reality (AR), virtual reality (VR), and mixed reality (MR) are advanced applications of computer visualization Which a hybrid structure allows users to explore novel used with other technologies in healthcare among other sectors give a promising future owing to the capabilities that come along with the technology that enables… Read full abstract & cite →

Mixed reality time interval semantic segmentation Microsoft HOLOLENS computer visualization
40

Model of Tools for Requirements Elicitation Process for Children’s Learning Applications

Author 1: Mira Kania Sabariah Author 2: Paulus Insap Santosa Author 3: Ridi Ferdiana

Requirements Elicitation are the initial stages in the application development process, where a set of needs from the system will be built and obtained by communicating with stakeholders who have a direct and indirect influence on those needs. Failure in the requirements elicitation process was caused by weak communication. Communication… Read full abstract & cite →

Requirements elicitation communication children learning application pedagogical aspect learning style
41

Intelligent System for Price Premium Prediction in Online Auctions

Author 1: Mofareah Bin Mohamed Author 2: Mahmoud Kamel

The use of data mining techniques in the field of auctions has attracted considerable interest from the research community. In auctions, the users try to achieve the highest gain and avoid loss as much as possible. Therefore, data mining techniques can be implemented in the auctioning domain to develop an… Read full abstract & cite →

Classification auction CART training testing preprocessing noise outlier DSM
42

Applying Social-Gamification for Interactive Learning in Tuberculosis Education

Author 1: Dhana Sudana Author 2: Andi W.R. Emanuel Author 3: Suyoto Author 4: Ardorisye S. Fornia

There are several methods of education for tuberculosis, and one of them is through the DOTS (Direct Observed Treatment Shortcourse) program. The management of tuberculosis education through the DOTS program is performed in clinics and hospitals only to patients and their families. The purpose of this study is to describe… Read full abstract & cite →

Education gamification mobile application social-media tuberculosis
43

New Approach for the Detection of Family of Geometric Shapes in the Islamic Geometric Patterns

Author 1: Ait Lahcen Yassine Author 2: Jali Abdelaziz Author 3: El Oirrak Ahmed Author 4: Abdelmalek. Thalal Author 5: Youssef. Aboufadil Author 6: M. A. Elidrissi R

This article proposes a new approach to detect the family of geometric shapes in Islamic geometric patterns. This type of geometric pattern which is constructed by tracing the grids with the respect of precise measurement criteria and the concept of symmetry of a method which is called ‘Hasba’. This geometric… Read full abstract & cite →

Family geometric shapes Euclidean distance ‘Hasba’ geometric art Islamic patterns
44

Place-based Uncertainty Prediction using IoT Devices for a Smart Home Environment

Author 1: Amr Jadi

In this work, an uncertainty prediction method for the home environment is proposed using the IoT devices (sensors) for predicting uncertainties using place-based approach. A neural network (NN) based smart communication system was implemented to test the results obtained from place-based approach using the inputs from sensors linked with internet… Read full abstract & cite →

IoT place-based approach uncertainty prediction MLP SVM BN DTW
45

“Onto-Computer-Project”, a Computer Project Domain Ontology : Construction and Validation

Author 1: Mejri Lassaad Author 2: Hanafi Raja Author 3: Henda Hajjami Ben Ghezala

Ontologies, nowadays, play a primordial role in the representation, the re-use and the sharing of knowledge of a well given domain in a consensual and explicit way more precisely in the computing field. It is in this context that we have proposed a domain ontology baptised onto-computer-project which presents the… Read full abstract & cite →

Domain ontology ontology construction ontology validation computer project project memory knowledge representation
46

Comparison of Item Difficulty Estimates in a Basic Statistics Test using ltm and CTT Software Packages in R

Author 1: Jonald L. Pimentel Author 2: Marah Luriely A. Villaruz

Two free computer software packages “ltm” and “CTT” in the R software environment were tested to demonstrate its usefulness in an item test analysis. The calibration of the item difficulty parameters given the binary responses of two hundred five examinees for the fifteen items multiple choice test were analyzed using… Read full abstract & cite →

Classical test theory indices item calibration item difficulty item response theory R software
47

Mosques Smart Domes System using Machine Learning Algorithms

Author 1: Mohammad Awis Al Lababede Author 2: Anas H. Blasi Author 3: Mohammed A. Alsuwaiket

Millions of mosques around the world are suffering some problems such as ventilation and difficulty getting rid of bacteria, especially in rush hours where congestion in mosques leads to air pollution and spread of bacteria, in addition to unpleasant odors and to a state of discomfort during the pray times… Read full abstract & cite →

Decision tree k-nearest neighbors smart domes weather prediction machine learning
48

Accident Detection and Disaster Response Framework Utilizing IoT

Author 1: Shoaib ul Hassan Author 2: Jingxia CHEN Author 3: Tariq Mahmood Author 4: Ali Akbar Shah

The internet of things (IoT) leads the noteworthy edges above customary information and communication technologies (ICT) for Intelligent Transportation Systems (ITS). The progression in the transportation system, the increment in vehicles and the accidents happened on the roads are cumulative up to an alarming situation. Additionally, 1.256 million people expire… Read full abstract & cite →

Internet of things (IOT) accident detection nearby places nearby hospitals cloud computing intelligent transportation systems information and communication technologies
49

RETRACTED: Design and Development of AI-based Mirror Neurons Agent towards Emotion and Empathy

Author 1: Faisal Rehman Author 2: Adeel Munawar Author 3: Aqsa Iftikhar Author 4: Awais Qasim Author 5: Jawad Hassan Author 6: Fouzia Samiullah Author 7: Muhammad Basit Ali Gilani Author 8: Neelam Qasim

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IJACSA`s Publication Principles. We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this… Read full abstract & cite →

Mirror neurons functionalities emotions empathy machine learning artificial intelligence
50

Effect of Header-based Features on Accuracy of Classifiers for Spam Email Classification

Author 1: Priti Kulkarni Author 2: Jatinderkumar R. Saini Author 3: Haridas Acharya

Emails are an integral part of communication in today’s world. But Spam emails are a hindrance, leading to reduction in efficiency, security threats and wastage of bandwidth. Hence, they need to be filtered at the first filtering station, so that employees are spared the drudgery of handling them. Most of… Read full abstract & cite →

Email classification Chi-Square correlation relief feature selection wrapper information gain Naive Bayes J48 spam support vector machine random forest NBTree
51

Enhancing the Quality of Service of Cloud Computing in Big Data using Virtual Private Network and Firewall in Dense Mode

Author 1: Hussain Shah Author 2: Aziz ud Din Author 3: Abizar Author 4: Adil Khan Author 5: Shams ud Din

Cloud Computing entails accessing and storing programs and data over the internet instead of the hard drive of a personal computer. Over the Internet, it is the practice of software and hardware to pass a service. Cloud gives the ability to consumers to access big data and use applications from… Read full abstract & cite →

Cloud computing big data firewall virtual private network security performance
52

Cloud Computing Adoption at Higher Educational Institutions in the KSA for Sustainable Development

Author 1: Ashraf Ali

Rapid changes in the advancements of information and communication technologies (ICT) have prompted Higher Educational Institutions (HEIs) to enhance teaching and learning. Over the years, cloud computing (CC) has become an emerging and adoptable paradigm in many industries including healthcare, finance, and law with its promising benefits. This trend is… Read full abstract & cite →

Cloud computing higher educational institutions Cloud Service Provers (CSP) Software-as-a-Service (SaaS) Platform-as-a-Service (PaaS) Infrastructure-as-a-Service (IaaS)
53

Automatic Assessment of Performance of Hospitals using Subjective Opinions for Sentiment Classification

Author 1: Muhammad Badruddin Khan

Social media is the venue where the opinions are shared in form of text, images and videos by public. Hospitals’ performance can be judged by opinions that are written by patients or their relatives. Machine learning techniques can be used to detect sentiments of the opinion givers. For the research… Read full abstract & cite →

Health informatics Classification Algorithms Sentiment Analysis Sentiment Lexicons Text Mining
54

Priority based Energy Distribution for Off-grid Rural Electrification

Author 1: Siva Raja Sindiramutty Author 2: Chong Eng Tan Author 3: Sei Ping Lau

Rural off-grid electrification is always very challenging due to mostly using limited output renewable energy source such as solar power system. Owing to its nature of power generation that depends on weather condition, the reliability in power provision is often affected by uncontrolled overwhelming usage or bad weather condition. Total… Read full abstract & cite →

PI (Panel Input) BP (Battery Power) critical appliances non-critical appliances prioritization operating hour
55

Beyond Sentiment Classification: A Novel Approach for Utilizing Social Media Data for Business Intelligence

Author 1: Ibrahim Said Ahmad Author 2: Azuraliza Abu Bakar Author 3: Mohd Ridzwan Yaakub Author 4: Mohammad Darwich

Extracting people’s opinions from social media has attracted a large number of studies over the years. This is as a result of the growing popularity of social media. People share their sentiments and opinions via these social media platforms. Therefore, extracting and analyzing these sentiments is beneficial in many ways… Read full abstract & cite →

Purchase intention sentiment analysis lexicon social media product reviews
56

Efficient Mining of Maximal Bicliques in Graph by Pruning Search Space

Author 1: Youngtae Kim Author 2: Dongyul Ra

In this paper, we present a new algorithm for mining or enumerating maximal biclique (MB) subgraphs in an undirected general graph. Our algorithm achieves improved theoretical efficiency in time over the best algorithms. For an undirected graph with n vertices, m edges and k maximal bicliques, our algorithm requires O(kn2)… Read full abstract & cite →

Graph algorithms maximal bicliques maximal biclique mining complete bipartite graphs pruning search space social networks protein networks
57

Nabiha: An Arabic Dialect Chatbot

Author 1: Dana Al-Ghadhban Author 2: Nora Al-Twairesh

Nowadays, we are living in the era of technology and innovation that impact various fields, including sciences. In computing and technology, many outstanding and attractive programs and applications have emerged, including programs that try to mimic the human behavior. A chatbot is an example of the artificial intelligence-based computer programs… Read full abstract & cite →

Artificial intelligence natural language processing chatbot artificial intelligence markup language Pandorabots Arabic Saudi dialect
58

Personality Classification from Online Text using Machine Learning Approach

Author 1: Alam Sher Khan Author 2: Hussain Ahmad Author 3: Muhammad Zubair Asghar Author 4: Furqan Khan Saddozai Author 5: Areeba Arif Author 6: Hassan Ali Khalid

Personality refer to the distinctive set of characteristics of a person that effect their habits, behaviour’s, attitude and pattern of thoughts. Text available on Social Networking sites provide an opportunity to recognize individual’s personality traits automatically. In this proposed work, Machine Learning Technique, XGBoost classifier is used to predict four… Read full abstract & cite →

Personality recognition re-sampling machine learning XGBoost class imbalanced MBTI social networks
59

Control BLDC Motor Speed using PID Controller

Author 1: Md Mahmud Author 2: S. M. A. Motakabber Author 3: A. H. M. Zahirul Alam Author 4: Anis Nurashikin Nordin

At present, green technology is a major concern in every country around the world and electricity is a clean energy which encourages the acquisition of this technology. The main applications of electricity are made through the use of electric motors. Electric power is converted to mechanical energy using a motor… Read full abstract & cite →

PID controller green technology fuzzy logic control speed control BLDC motor
60

Recurrent Neural Networks for Meteorological Time Series Imputation

Author 1: Anibal Flores Author 2: Hugo Tito Author 3: Deymor Centty

The aim of the work presented in this paper is to analyze the effectiveness of recurrent neural networks in imputation processes of meteorological time series, for this six different models based on recurrent neural networks such as Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) are implemented and it… Read full abstract & cite →

Recurrent neural network long short-term memory gated recurrent unit univariate time series imputation
61

Enhance the Security and Prevent Vampire Attack on Wireless Sensor Networks using Energy and Broadcasts Threshold Values

Author 1: Hesham Abusaimeh

Measuring and monitoring the surrounded environment are the main tasks of the most battery-based Wireless Sensor Networks (WSNs). The main energy consumption in the WSN is the communication and transferring data between these nodes. There are many researches works on how to preserve the energy consumption of the nodes inside… Read full abstract & cite →

Network security vampire attack sensor nodes energy lifetime power consumption packets delivery ratio
62

Automated Measurement of Hepatic Fat in T1-Mapping and DIXON MRI as a Powerful Biomarker of Metabolic Profile and Detection of Hepatic Steatosis

Author 1: Khouloud AFFI Author 2: Mnaouer KACHOUT

Abnormal or excessive excess of intraperitoneal fat at different anatomical sites (heart, kidneys, liver, etc.) alters the metabolic profile by generating diseases causing cardiovascular complications. These include hepatic steatosis, which requires being increased surveillance before its severe progression to cirrhosis and its complications. Our objective in this study (in-vivo) was… Read full abstract & cite →

Nonalcoholic fatty liver disease non-alcoholic steatohepatitis image processing metabolic diseases magnetic resonance imaging active contour
63

Producing Standard Rules for Smart Real Estate Property Buying Decisions based on Web Scraping Technology and Machine Learning Techniques

Author 1: Haris Ahmed Author 2: Tahseen Ahmed Jilani Author 3: Waleej Haider Author 4: Syed Noman Hasany Author 5: Mohammad Asad Abbasi Author 6: Ahsan Masroor

Purchasing of real estate property is a stressful and time-consuming activity, regardless of the individual in question is a buyer or seller. The act is also a major financial decision which can lead to numerous consequences if taken hastily. Therefore, it is encouraged that a person should properly invest their… Read full abstract & cite →

Web scraping technology HtmlAgilityPack machine learning C4.5 decision tree Weka-J48
64

TADOC : Tool for Automated Detection of Oral Cancer

Author 1: Khalid Nazim Abdul Sattar

Cancer is a group of related diseases and it is necessary to classify the type and its impact. In this paper an automated learning-based system for detection of oral cancer from Whole Slide Images (WSI) has been designed. The main challenges of the system were to handle the huge dataset… Read full abstract & cite →

Cancer CT Scan MRI Scan Machine Learning Deep learning Convolutional Neural Network (CNN) Whole Slide Image (WSI) Residual Networks (ResNets)
65

Deep Learning based, a New Model for Video Captioning

Author 1: Elif Güsta Özer Author 2: Ilteber Nur Karapinar Author 3: Sena Basbug Author 4: Sümeyye Turan Author 5: Anil Utku Author 6: M. Ali Akcayol

Visually impaired individuals face many difficulties in their daily lives. In this study, a video captioning system has been developed for visually impaired individuals to analyze the events through real-time images and express them in meaningful sentences. It is aimed to better understand the problems experienced by visually impaired individuals… Read full abstract & cite →

Video captioning CNN LSTM
66

Optimized Approach in Requirements Change Management in Geographically Dispersed Environment (GDE)

Author 1: Shahid N. Bhatti Author 2: Frnaz Akbar Author 3: Mohammad A. Alqarni Author 4: Amr Mohsen Jadi Author 5: Abdulrahman A. Alshdadi Author 6: Abdulah J. Alzahrani

Managing requirements is an essential trait in engineering development process as requirements change and emerge throughout the development process. In the following research work the primary prominence is to eke out requirements that are changing frequently in geographically dispersed setup. To efficiently and effectively cope up with the changing requirements… Read full abstract & cite →

CM (Change Moderator) GDE (Geographically Dispersed Environment) MCR (Managing Changing Requirements) MCR in the GDE framework RM (Requirements Management)
67

Data Mining for Student Advising

Author 1: Hosam Alhakami Author 2: Tahani Alsubait Author 3: Abdullah Aljarallah

This paper illustrates how to use data mining techniques to help in advising students and predicting their academic performance. Data mining is used to get previously unknown, hidden and perhaps vital knowledge from a large amount of data. It combines domain knowledge, advanced analytical skills, and a vast knowledge base… Read full abstract & cite →

Data mining performance prediction student analytics academic advising classification algorithms decision tree J48 neural network Weka
68

Climate Change Adaptation and Resilience through Big Data

Author 1: Md Nazirul Islam Sarker Author 2: Bo Yang Author 3: Yang Lv Author 4: Md Enamul Huq Author 5: M M Kamruzzaman

The adverse effect of climate change is gradually increasing all over the world and developing countries are more sufferer. The potential of big data can be an effective tool to make an appropriate adaptation strategy and enhance the resilience of the people. This study aims to explore the potential of… Read full abstract & cite →

Disaster resilience administrative resilience community resilience disaster management environmental management
69

Enhanced Accuracy of Heart Disease Prediction using Machine Learning and Recurrent Neural Networks Ensemble Majority Voting Method

Author 1: Irfan Javid Author 2: Ahmed Khalaf Zager Alsaedi Author 3: Rozaida Ghazali

To solve many problems in data science, Machine Learning (ML) techniques implicates artificial intelligence which are commonly used. The major utilization of ML is to predict the conclusion established on the extant data. Using an established dataset machine determine emulate and spread them to an unfamiliar data sets to anticipate… Read full abstract & cite →

Deep learning machine learning heart disease majority voting ensemble University of California Irvine (UCI) dataset
70

Temporal Analysis of GDOP to Quantify the Benefits of GPS and GLONASS Combination on Satellite Geometry

Author 1: Claudio Meneghini Author 2: Claudio Parente

Global Navigation Satellite Systems (GNSS) have developed rapidly over the last few years. At present, there are GNSS receivers that combine satellites from two or more different constellations. The geometry of the satellites in relation to the receiver location, i.e. how nearly or distantly they are disposed in the sky… Read full abstract & cite →

GDOP (Geometric Dilution of Precision) GPS (Global Positioning System) GLONASS (Globalnaya Navigazionnaya Sputnikovaya Sistema) Multi-GNSS (Global Navigation Satellite System) Constellation
71

Enhancing Educational Data Mining based ICT Competency among e-Learning Tutors using Statistical Classifier

Author 1: Lalbihari Barik Author 2: Ahmad AbdulQadir AlRababah Author 3: Yasser Difulah Al-Otaibi

The implementation of computer-supported collaborative learning has come to play a pivotal role in e-learning platforms. Educational Data Mining (EDM) is a promising area for the exclusive skill development of e-learning tutors, the major concern being investigations over large datasets. The tutors possessing efficient and sufficient soft skills can teach… Read full abstract & cite →

Data mining e-learning tutors Naive Bayes Classifiers algorithms ICT QTS numeracy
72

Histogram Equalization based Enhancement and MR Brain Image Skull Stripping using Mathematical Morphology

Author 1: Zahid Ullah Author 2: Su-Hyun Lee Author 3: Donghyeok An

In brain image processing applications the skull stripping is an essential part to explore. In numerous medical image applications the skull stripping stage act as a pre-processing step as due to this stage the accuracy of diagnosis increases in the manifold. The MR image skull stripping stage removes the non-brain… Read full abstract & cite →

Contrast enhancement skull stripping magnetic resonance imaging mathematical morphology
73

Analysis of Web Content Quality Factors for Massive Open Online Course using the Rasch Model

Author 1: Wan Nurhayati Wan Ab Rahman Author 2: Hazura Zulzalil Author 3: Iskandar Ishak Author 4: Ahmad Wiraputra Selamat

The lack of understanding among content providers towards the quality of MOOC motivates the development of several MOOC quality models. However, none was focused on the web content from the perspective of content providers or experts despite the facts that their views are important particularly in the development phase. MOOCs… Read full abstract & cite →

Web content quality model hierarchical model Rasch Model rating scale survey reliability
74

Prediction Intervals based on Doubly Type-II Censored Data from Gompertz Distribution in the Presence of Outliers

Author 1: S. F. Niazi Alil Author 2: Ayed R. A. Alanzi

The study aims at getting the Bayesian predication intervals for some order statistics of future observations from the distribution of Gompertz (Gomp (a;ß)). Doubly Type-II censored data has assisted obtaining in the presence of single outlier that arose from the different same family members of distribution. Single outlier of type… Read full abstract & cite →

Bayesian prediction Gompertz distribution predic-tive distribution doubly Type-II censored data Markov Chain Monte Carlo single outliers
75

Code Readability Management of High-level Programming Languages: A Comparative Study

Author 1: Muhammad Usman Tariq Author 2: Muhammad Bilal Bashir Author 3: Muhammad Babar Author 4: Adnan Sohail

Quality can never be an accident and therefore, software engineers are paying immense attention to produce quality software product. Source code readability is one of those important factors that play a vital role in producing quality software. The code readability is an internal quality attribute that directly affects the future… Read full abstract & cite →

Source code high-level programming languages Java C++ C# code readability code readability index
76

CA-PCS: A Cellular Automata based Partition Ciphering System

Author 1: Fatima Ezzahra Ziani Author 2: Anas Sadak Author 3: Charifa Hanin Author 4: Bouchra Echandouri Author 5: Fouzia Omary

In this paper, the authors present a modified version of the Partition Ciphering System (PCS) encryption system previously proposed. The previously developed encryption system PCS uses the partition problem to encrypt a message. The goals of newly developed system are avoiding statistical and frequency attacks, by providing a balance between… Read full abstract & cite →

Partition ciphering system partition problem fre-quency analysis cellular automata avalanche effect confusion diffusion statistical properties cryptographic properties
77

Performance Analysis of Machine Learning Techniques for Smart Agriculture: Comparison of Supervised Classification Approaches

Author 1: Rhafal Mouhssine Author 2: Abdoun Otman Author 3: El khatir Haimoudi

Agriculture form one of the most important aspects of life necessities, it is responsible to feed 7.7 billion person for the time being, and it is expected to supply more than 9.6 billion individual in 2050, the thing that made classical farming insufficient, and give birth to the notion of… Read full abstract & cite →

Support vector machine K-nearest neighbor deep neural networks convolutional neural networks smart agriculture Cifar10
78

Minimal Order Linear Functional Observers Design for Multicell Series Converter

Author 1: Mariem Jday Author 2: Paul-Etienne Vidal Author 3: Joseph Hagg`ege

The requirement of high voltage-power level for many applications like the energy conversion system give rise to use a structure of a multilevel converter like the multicell series converter. To benefit as much as possible from this power converter an appropriate voltage distribution for each cell must be performed, hence… Read full abstract & cite →

Multicell converter voltage capacitor hybrid model Z(TN)-Observability functional observer
79

Binning Approach based on Classical Clustering for Type 2 Diabetes Diagnosis

Author 1: Hai Thanh Nguyen Author 2: Nhi Yen Kim Phan Author 3: Huong Hoang Luong Author 4: Nga Hong Cao Author 5: Hiep Xuan Huynh

In recent years, numerous studies have been fo-cusing on metagenomic data to improve the ability of human disease prediction. Although we face the complexity of disease, some proposed frameworks reveal promising performances in using metagenomic data to predict disease. Type 2 diabetes (T2D) diagnosis by metagenomic data is one of… Read full abstract & cite →

Unsupervised binning K-means clustering algo-rithm metagenomics metagenome-based disease prediction Type 2 diabetes diagnosis
80

Enhanced Performance of the Automatic Learning Style Detection Model using a Combination of Modified K-Means Algorithm and Naive Bayesian

Author 1: Nurul Hidayat Author 2: Retantyo Wardoyo Author 3: Azhari SN Author 4: Herman Dwi Surjono

Learning Management System (LMS) is well de-signed and operated by an exceptional teaching team, but LMS does not consider the needs and characteristics of each student’s learning style. The LMS has not yet provided a feature to detect student diversity, but LMS has a track record of student learning activities… Read full abstract & cite →

Learning management system log file K-means Davies-Bouldin Index
81

Improved Candidate Generation for Pedestrian Detection using Background Modeling in Connected Vehicles

Author 1: Ghaith Al-Refai Author 2: Osamah A. Rawashdeh

Pedestrian detection is widely used in today’s ve-hicle safety applications to avoid vehicle-pedestrian accidents. The current technology of pedestrian detection utilizes onboard sensors such as cameras, radars, and Lidars to detect pedestrians, then information is used in a safety feature like Automatic Emer-gency Braking (AEB). This paper proposes pedestrian detection… Read full abstract & cite →

Pedestrian detection computer vision image pro-cessing machine learning vehicle safety
82

Intelligent Parallel Mixed Method Approach for Characterising Viral YouTube Videos in Saudi Arabia

Author 1: Abdullah Alshanqiti Author 2: Ayman Bajnaid Author 3: Abdul Rehman Gilal Author 4: Shuaa Aljasir Author 5: Aeshah Alsughayyir Author 6: Sami Albouq

In social networking platforms, comprehending vi-rality, exemplified by YouTube, is of great importance, which helps in understanding what characteristics utilised to create content along with what dynamics involved in contributing to YouTube’s strength as a platform for sharing content. The current literature surrounding virality problem appears sparse concern-ing development theories… Read full abstract & cite →

Virality text mining sentiment analysis social media analysis mixed method approach
83

Predicting Students’ Performance of the Private Universities of Bangladesh using Machine Learning Approaches

Author 1: Md. Sabab Zulfiker Author 2: Nasrin Kabir Author 3: Al Amin Biswas Author 4: Partha Chakraborty Author 5: Md. Mahfujur Rahman

Every year thousands of students get admitted into different universities in Bangladesh. Among them, a large number of students complete their graduation with low scoring results which affect their careers. By predicting their grades before the final examination, they can take essential measures to ameliorate their grades. This article has… Read full abstract & cite →

Prediction machine learning weighted voting ap-proach private universities of Bangladesh
84

Vehicle Routing Optimization for Surplus Food in Nonprofit Organizations

Author 1: Ahmad Alhindi Author 2: Abrar Alsaidi Author 3: Waleed Alasmary Author 4: Maazen Alsabaan

Non-profit organizations mitigate the problem of food insecurity by collecting surplus food from donors and delivering it to underprivileged people. In this paper, we focus on a single non-profit organization located in Makkah city (Saudi Arabia), referred to as Ekram. The current surplus food pickup/delivery and operational routing model of… Read full abstract & cite →

Non-profit organization vehicle routing problem donor surplus food decision support
85

Development of an Interactive Tool based on Combining Graph Heuristic with Local Search for Examination Timetable Problem

Author 1: Ashis Kumar Mandal

Every university faces a lot of challenges to solve the examination timetabling problem because the problem is NP-hard and contains numerous institutional constraints. Although several attempts have been taken to address the issue, there are scarcities of interactive and automated tools in this domain that can schedule exams effectively by… Read full abstract & cite →

Examination timetable graph heuristic local search meta-heuristic ITC2007 exam dataset interactive tool NP-hard problem
86

Invariant Feature Extraction for Component-based Facial Recognition

Author 1: Adam Hassan Author 2: Serestina Viriri

This paper proposes an alternative invariant feature extraction technique for facial recognition using facial compo-nents. Can facial recognition over age progression be improved by analyzing individual facial components? The individual facial components: eyes, mouth, nose, are extracted using face landmark points. The Histogram of Gradient (HOG) and Local Binary Pattern… Read full abstract & cite →

Invariant features facial components facial recog-nition age progression HOG LBP
87

Feature Selection for Learning-to-Rank using Simulated Annealing

Author 1: Mustafa Wasif Allvi Author 2: Mahamudul Hasan Author 3: Lazim Rayan Author 4: Mohammad Shahabuddin Author 5: Md. Mosaddek Khan Author 6: Muhammad Ibrahim

Machine learning is being applied to almost all corners of our society today. The inherent power of large amount of empirical data coupled with smart statistical techniques makes it a perfect choice for almost all prediction tasks of human life. Information retrieval is a discipline that deals with fetching useful… Read full abstract & cite →

Information retrieval learning-to-rank feature se-lection meta-heuristic optimization algorithm simulated annealing
88

Software-Defined Networking (SDN) based VANET Architecture: Mitigation of Traffic Congestion

Author 1: Tesfanesh Adbeb Author 2: Wu Di Author 3: Muhammad Ibrar

In VANETs (Vehicular Ad-hoc Networks), the num-ber of vehicles increased continuously, leading to significant traffic problems like traffic congestion, a feasible path, and associated events like accidents. Though, the Intelligent Transportation System (ITS) providing excellent services, such as safety appli-cations and emergency warnings. However, ITS has limitations regarding traffic management… Read full abstract & cite →

Software-Defined Networking VANET congestion feasible path NS3 SUMO
89

Perceived Usability of Educational Chemistry Game Gathered via CSUQ Usability Testing in Indonesian High School Students

Author 1: Herman Tolle Author 2: Muhammad Hafis Author 3: Ahmad Afif Supianto Author 4: Kohei Arai

Educational game is now a commonplace among students and teachers alike. Recent researches show that studies regarding educational game general effectiveness in the learning environment are nothing new. However, usability studies in the educational game are rather rare compared to general non-game-related usability studies. This research synthesizes the result obtained… Read full abstract & cite →

Usability testing CSUQ educational game male students female students

Important Dates

Volume 17 No. 10, October 2026
Paper Submission Due September 25, 2026
Review Notification October 15, 2026
Publication Date October 31, 2026