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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. 9 Issue 1 (2018)

Open Access | | 79 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

Novel Methods for Resolving False Positives during the Detection of Fraudulent Activities on Stock Market Financial Discussion Boards

Author 1: Pei Shyuan Lee Author 2: Majdi Owda Author 3: Keeley Crockett

Financial discussion boards (FDBs) have been widely used for a variety of financial knowledge exchange activities through the posting of comments. Popular public FDBs are prone to being used as a medium to spread false financial information due to larger audience groups. Although online forums are usually integrated with anti-spam… Read full abstract & cite →

Financial discussion boards financial crimes pump and dump text mining information extraction
2

Inferring of Cognitive Skill Zones in Concept Space of Knowledge Assessment

Author 1: Rania Aboalela Author 2: Javed Khan

In these research zones of the knowledge, the assessed domain is identified. Explicitly, these zones are known as Verified Skills, Derived Skills and Potential Skills. In detail, the Verified Skills Zone is the set of tested concepts in the knowledge domain, while Derived Skills Zone is the set of the… Read full abstract & cite →

Cognitive skill bloom’s taxonomy assessment of knowledge concept space concepts zones
3

Credit Card Fraud Detection using Deep Learning based on Auto-Encoder and Restricted Boltzmann Machine

Author 1: Apapan Pumsirirat Author 2: Liu Yan

Frauds have no constant patterns. They always change their behavior; so, we need to use an unsupervised learning. Fraudsters learn about new technology that allows them to execute frauds through online transactions. Fraudsters assume the regular behavior of consumers, and fraud patterns change fast. So, fraud detection systems need to… Read full abstract & cite →

Credit card fraud detection deep learning unsupervised learning auto-encoder restricted Boltzmann machine Tensorflow
4

Voice Detection in Traditionnal Tunisian Music using Audio Features and Supervised Learning Algorithms

Author 1: Wissem Ziadi Author 2: Hamid Amiri

The research presented in this paper aims to automatically detect the singing voice in traditional Tunisian music, taking into account the main characteristics of the sound of the voice in this particular music style. This means creating the possibility to automatically identify instrumental and singing sounds. Therefore different methods for… Read full abstract & cite →

Tunisian voice timbre audio features extraction singing voice detection sung/instrumental discrimination supervised learning algorithms
5

Predicting Fork Visibility Performance on Programming Language Interoperability in Open Source Projects

Author 1: Bee Bee Chua Author 2: d. bernardo

Despite a variety of programming languages adopted in open source (OS) projects, fork variation on some languages has been minimal and slow to be adopted, and there is little research as to why this is so. We therefore employed a K-nearest neighbours (KNN) technique to predict the fork visibility performance… Read full abstract & cite →

Open Source Programming Languages K-nearest neighbors (KNN) Algorithm interoperability survivability
6

Cadastral and Tea Production Management System with Wireless Sensor Network, GIS based System and IoT Technology

Author 1: Kohei Arai

Cadastral and tea production management system utilizing wireless sensor network of Internet of Things (IoT) technology is proposed. To improve efficiency of tea productions, cadastral management and tea production processes must be managed by Geographical Information System (GIS) based system. Through experiments with sensor acquired data, it is found that… Read full abstract & cite →

Internet of Things geographical information system tea production quality control
7

LOD Explorer: Presenting the Web of Data

Author 1: Karwan Jacksi Author 2: Subhi R. M. Zeebaree Author 3: Nazife Dimililer

The quantity of data published on the Web according to principles of Linked Data is increasing intensely. However, this data is still largely limited to be used up by domain professionals and users who understand Linked Data technologies. Therefore, it is essential to develop tools to enhance intuitive perceptions of… Read full abstract & cite →

Semantic web linked open data linked data browsers exploratory search systems RDF SPARQL
8

Agent-Based System for Efficient kNN Query Processing with Comprehensive Privacy Protection

Author 1: Mohamad Shady Alrahhal Author 2: Maher Khemakhem Author 3: Kamal Jambi

Recently, location based services (LBSs) have become increasingly popular due to advances in mobile devices and their positioning capabilities. In an LBS, the user sends a range of queries regarding his k-nearest neighbors (kNNs) that have common points of interests (POIs) based on his real geographic location. During the query… Read full abstract & cite →

Agents attacks dummies fragmentation indexing privacy protection resistance
9

A Multiclass Deep Convolutional Neural Network Classifier for Detection of Common Rice Plant Anomalies

Author 1: Ronnel R. Atole Author 2: Daechul Park

This study examines the use of deep convolutional neural network in the classification of rice plants according to health status based on images of its leaves. A three-class classifier was implemented representing normal, unhealthy, and snail-infested plants via transfer learning from an AlexNet deep network. The network achieved an accuracy… Read full abstract & cite →

Deep neural network convolutional neural network rice transfer learning AlexNet
10

Improve Mobile Agent Performance by using Knowledge-Based Content

Author 1: Tarig Mohamed Ahmed Author 2: AL-Kharj

Mobile agent technology is one of the mobile computing areas. This technology could be used in several types of applications, such as cloud computing, e-commerce, databases, distributed systems management, network management, etc. The purpose of this paper is to propose a new model for increasing the mobile agent systems performance… Read full abstract & cite →

Mobile agent mobility performance intelligent system
11

Kit-Build Concept Map with Confidence Tagging in Practical Uses for Assessing the Understanding of Learners

Author 1: Jaruwat Pailai Author 2: Warunya Wunnasri Author 3: Yusuke Hayashi Author 4: Tsukasa Hirashima

An answer of a learner can be interpreted as a learning evidence for demonstrating the understanding of the learner, while a confidence on the answer represents the belief of the learner as the degree of understanding. In this paper, we propose Kit-Build concept map with confidence tagging. Kit-Build concept map… Read full abstract & cite →

Kit-Build concept map confidence tagging effect of confidence information behavior changing of instructor
12

Method for Detection of Foreign Matters Contained in Dryed Nori (Seaweed) based on Optical Property

Author 1: Kohei Arai

Optical property, such as spectral reflectance, bidirectional reflectance distribution functions and polarization characteristics of dried seaweeds is clarified together with an attempt for transparent foreign matter detection considering optical property of dried seaweeds, such as spectral transparency, bidirectional reflectance and transparency as well as polarimetric properties. Through experiments, it is… Read full abstract & cite →

Seaweeds optical characteristics BRDF polarization characteristics foreign matter detection
13

On P300 Detection using Scalar Products

Author 1: Monica Fira Author 2: Liviu Goras Author 3: Anca Lazar

Results concerning detection of the P300 wave in EEG segments using scalar products with signals of various shapes are presented and their advantages and limitations are discussed. From the point of view of the computational complexity, the proposed algorithm is a simple algorithm, based on a scalar product and searching… Read full abstract & cite →

Electroencephalographic (EEG) brain computer interface P300 spelling paradigm classification signal processing
14

Implicit and Explicit Knowledge Mining of Crowdsourced Communities: Architectural and Technology Verdicts

Author 1: Husnain Mushtaq Author 2: Babur Hayat Malik Author 3: Syed Azkar Shah Author 4: Umair Bin Siddique Author 5: Muhammad Shahzad Author 6: Imran Siddique

The use of social media especially community Q&A Sites by software development community has been increased significantly in past few years. The ever mounting data on these Q&A Sites has open up new horizons for research in multiple dimensions. Stackoverflow is repository of large amount of data related to software… Read full abstract & cite →

StackOverflow architecture and technology verdicts crowdsourcing data mining explicit and implicit knowledge software repositories knowledge structuring
15

Web-Based COOP Training System to Enhance the Quality, Accuracy and Usability Access

Author 1: Amr Jadi Author 2: Eesa A. Alsolami

In this paper, a web based COOP training system is demonstrated to ensure usable process of task interactions between various participants. In the existing method various issues related with the paper work, communication gap, etc. raised serious issues between the colleges and industries while implementing the COOP training programs. The… Read full abstract & cite →

COOP training web applications integration quality accuracy
16

Standard Intensity Deviation Approach based Clipped Sub Image Histogram Equalization Algorithm for Image Enhancement

Author 1: Sandeepa K S Author 2: Basavaraj N Jagadale Author 3: J S Bhat

The limitations of the hardware and dynamic range of digital camera have created the demand for post processing software tool to improve image quality. Image enhancement is a technique that helps to improve finer details of the image. This paper presents a new algorithm for contrast enhancement, where the enhancement… Read full abstract & cite →

Standard intensity deviation histogram clipping histogram equalization contrast enhancement entropy
17

Quality Ranking Algorithms for Knowledge Objects in Knowledge Management Systems

Author 1: Amal Al-Rasheed Author 2: Jawad Berri

The emergence of web-based Knowledge Management Systems (KMS) has raised several concerns about the quality of Knowledge Objects (KO), which are the building blocks of knowledge expertise. Web-based KMSs offer large knowledge repositories with millions of resources added by experts or uploaded by users, and their content must be assessed… Read full abstract & cite →

Knowledge Management System (KMS) Knowledge Object (KO) knowledge evaluation quality indicator recommender system
18

The Effect of Music on Shoppers’ Shopping Behaviour in Virtual Reality Retail Stores: Mediation Analysis

Author 1: Aasim Munir Dad Author 2: Andrew Kear Author 3: Asma Abdul Rehman Author 4: Barry J. Davies

The aim of this study is to investigate the effect of music, as an atmospheric cue of 3D virtual reality retail (VRR) stores, on shoppers’ emotions and behaviour. To complete this research, a major empirical study was conducted in Second Life (SL) which is one of the most mature virtual… Read full abstract & cite →

Music retail atmospherics 3D virtual reality retailing second life (SL) mediation analysis
19

A Web Service Composition Framework based on Functional Weight to Reach Maximum QoS

Author 1: M.Y. Mohamed Yacoab Author 2: Abdalla AlAmeen Author 3: M. Mohemmed Sha

The recent trend in the web world is to accomplish almost all the user services in every field through the web portals of the respective organizations. But a specific task with series of actions cannot be completed by a single web service with limited functionality. Therefore, multiple web services with… Read full abstract & cite →

Web service composition of services non-functional parameters QoS
20

Encrypted Fingerprint into VoIP Systems using Cryptographic Key Generated by Minutiae Points

Author 1: Mohammad Fawaz Anagreh Author 2: Anwer Mustafa Hilal Author 3: Tarig Mohamed Ahmed

The transmission of the encryption voice over IP is challenging. The voice is recorded, eavesdropping, change and theft voice, etc. The voice over IP is encrypted by using Advance Encryption Standard (AES) Algorithm. AES key is generated from Minutiae Points in fingerprint. By other way, we talk about biometric-cryptosystem, which… Read full abstract & cite →

IP cryptography fingerprint minutiae Advance Encryption Standard (AES) RSA information security
21

General Characteristics and Common Practices for ICT Projects: Evaluation Perspective

Author 1: Abdullah Saad AL-Malaise AL-Ghamdi Author 2: Farrukh Saleem

In today’s business world, organizations are more dependent on Information and Communication Technologies (ICT) resources. Cloud services, communication services and software services are most common resources, enterprises are spending large amount. To install new services and upgrade existing services, ICT project are essential part of organization’s business strategies. Researchers highlighted… Read full abstract & cite →

ICT project ICT evaluation measurement process case studies common practices
22

Identification of Toddlers’ Nutritional Status using Data Mining Approach

Author 1: Sri Winiarti Author 2: Herman Yuliansyah Author 3: Aprial Andi Purnama

One of the problems in community health center or health clinic is documenting the toddlers’ data. The numbers of malnutrition cases in developing country are quite high. If the problem of malnutrition is not resolved, it can disrupt the country’s economic development. This study identifies malnutrition status of toddlers based… Read full abstract & cite →

Data mining k-means clustering malnutrition status of toddler
23

A Comparative Study on Steganography Digital Images: A Case Study of Scalable Vector Graphics (SVG) and Portable Network Graphics (PNG) Images Formats

Author 1: Abdulgader Almutairi

Today image steganography plays a key role for exchanging a secret data through the internet. However, the optimal choice of images formats for processing steganography is still an open issue; therefore, this research comes into a table. This research conducts a comparative study between Scalable Vector Graphics (SVG) image format… Read full abstract & cite →

Image steganography data hiding raster and vector images Scalable Vector Graphics (SVG) and Portable Network Graphics (PNG) images format
24

Detection of Violations in Credit Cards of Banks and Financial Institutions based on Artificial Neural Network and Metaheuristic Optimization Algorithm

Author 1: Zarrin Monirzadeh Author 2: Mehdi Habibzadeh Author 3: Nima Farajian

Due to popularity of the World Wide Web and e-commerce, electronic communications between people and different organizations through virtual world of the Internet have provided a good basis for commercial and economic relations. These developments, although occurring for less than a century, electronic communications have always been subject to interference… Read full abstract & cite →

Financial fraud detection neural networks data mining genetic algorithm
25

Data Exfiltration from Air-Gapped Computers based on ARM CPU

Author 1: Kenta Yamamoto Author 2: Miyuki Hirose Author 3: Taiichi Saito

Air-gapped Network is a network isolated from public networks. Several techniques of data exfiltration from air-gapped networks have been recently proposed. Air-gap malware is a malware that breaks the isolation of an air-gapped computer using air-gap covert channels, which extract information from air-gapped computers running on air-gap networks. Guri et… Read full abstract & cite →

Air-Gapped Network ARM CPU data exfiltration SIMD NEON GSMem
26

A Seamless Network Database Migration Tool for Insititutions in Zambia

Author 1: Mutale Kasonde Author 2: Simon Tembo

The objective of the research was to efficiently manage migration process between different Database Management Systems (DBMS) by automating the database migration process. The automation of the database migration process involved database cloning between different platforms, exchange of data between data center and different clients running non-identical DBMS and backing… Read full abstract & cite →

Database management system database migration database structure database migration toolkits and database cloning
27

Software Engineering: Challenges and their Solution in Mobile App Development

Author 1: Naila Kousar Author 2: Muhammad Sheraz Arshad Malik Author 3: Aramghan Sarwar Author 4: Burhan Mohy-ud-din Author 5: Ayesha Shahid

Mobile app development is increasing rapidly due to the popularity of smartphones. With billions of apps downloads, the Apple App Store and Google Play Store succeeded to overcome mobile devices. Throughout last 10 years, the amount of smartphones and mobile applications has been perpetually growing. Android and iOS are two… Read full abstract & cite →

Android IOS mobile apps software quality survey research user requirements
28

Analysis of Valuable Clustering Techniques for Deep Web Access and Navigation

Author 1: Qurat ul ain Author 2: Asma Sajid Author 3: Uzma Jamil

A massive amount of content is available on web but huge portion of it is still invisible. User can only access this hidden web, also called Deep web, by entering a directed query in a web search form and thus accessing the data from database which is not indexed with… Read full abstract & cite →

Deep web clustering Latent Diriclet Allocation Latent Semantic Analysis hierarchical methods K-means methods
29

Pre-Trained Convolutional Neural Network for Classification of Tanning Leather Image

Author 1: Sri Winiarti Author 2: Adhi Prahara Author 3: Murinto Author 4: Dewi Pramudi Ismi

Leather craft products, such as belt, gloves, shoes, bag, and wallet are mainly originated from cow, crocodile, lizard, goat, sheep, buffalo, and stingray skin. Before the skins are used as leather craft materials, they go through a tanning process. With the rapid development of leather craft industry, an automation system… Read full abstract & cite →

Leather classification tanning leather convolution neural network (CNN) deep learning support vector machine (SVM)
30

Iteration Method for Simultaneous Estimation of Vertical Profiles of Air Temperature and Water Vapor with AQUA/AIRS Data

Author 1: Kohei Arai

Iteration method for simultaneous estimation of vertical profiles of air temperature and water vapor with the high spectral resolution of sounder of AQUA/AIRS data is proposed. Through a sensitivity analysis based on the proposed method for the several atmospheric models simulated by MODTRAN, it is found that the proposed method… Read full abstract & cite →

Inversion tropopause AQUA AIRS Air temperature sounder MODTRAN
31

A Robust System for Noisy Image Classification Combining Denoising Autoencoder and Convolutional Neural Network

Author 1: Sudipta Singha Roy Author 2: Sk. Imran Hossain Author 3: M. A. H. Akhand Author 4: Kazuyuki Murase

Image classification, a complex perceptual task with many real life important applications, faces a major challenge in presence of noise. Noise degrades the performance of the classifiers and makes them less suitable in real life scenarios. To solve this issue, several researches have been conducted utilizing denoising autoencoder (DAE) to… Read full abstract & cite →

Image denoising denoising autoencoder cascaded denoising autoencoder convolutional neural network
32

A New Healthcare Context Information: The Social Context

Author 1: Isra’a Ahmed Zriqat Author 2: Ahmad Mousa Altamimi

During the treatment process, medical institutes collect context information about their patients and store it in their healthcare systems. The collected information describes the measurable, risk, or medication information and used to improve the performance of the institutes healthcare systems by allowing diverse knowledge about patients. Being said that some… Read full abstract & cite →

Context information social context healthcare medical information
33

Brainwaves for User Verification using Two Separate Sets of Features based on DCT and Wavelet

Author 1: Loay E. George Author 2: Hend A. Hadi

This paper discusses the effectiveness of brain waves for user verification using electroencephalogram (EEG) recordings of one channel belong to single task. The feature sets were previously introduced as features for EEG-based identification system are tested as suitable features for verification system in this paper. The first considered feature set… Read full abstract & cite →

Electroencephalogram (EEG) wavelet transforms DCT DFT energy features statistical moments Euclidean measure
34

FARM: Fuzzy Action Rule Mining

Author 1: Zahra Entekhabi Author 2: Pirooz Shamsinejadbabki

Action Mining is a sub-field of Data Mining that concerns about finding ready-to-apply action rules. The majority of the patterns discovered by traditional data mining methods require analysis and further work by domain experts to be applicable in target domain while Action Mining methods try to find final cost-effective actions… Read full abstract & cite →

Action mining fuzzy action rule mining genetic algorithm
35

A Secured Interoperable Data Exchange Model

Author 1: A. Bahaa Author 2: A. Sayed Author 3: L. Elfangary

Interoperability enables peer systems to communicate with each other and use the functionality of peer systems effectively. It improves ability for different systems to exchange information between cooperative systems. It plays a vital role in educational information system institutions. Practically, there are two main technical reasons that restrain the interoperability… Read full abstract & cite →

Data sharing security integrity and protection
36

Iterative Removing Salt and Pepper Noise based on Neighbourhood Information

Author 1: Liu Chun Author 2: Sun Bishen Author 3: Liu Shaohui Author 4: Tan Kun Author 5: Ma Yingrui

Denoising images is a classical problem in low-level computer vision. In this paper, we propose an algorithm which can remove iteratively salt and pepper noise based on neighbourhood while preserving details. First, we compute the probability of different window without free noise pixel by noise ratio, and then determine the… Read full abstract & cite →

Salt and pepper noise noise detection neighbourhood similarity detail preserving denoising
37

Attendance and Information System using RFID and Web-Based Application for Academic Sector

Author 1: Hasanein D. Rjeib Author 2: Nabeel Salih Ali Author 3: Ali Al Farawn Author 4: Basheer Al-Sadawi Author 5: Haider Alsharqi

Recently, students attendance have been considered as one of the crucial elements or issues that reflects the academic achievements and the performance contributed to any university compared to the traditional methods that impose time-consuming and inefficiency. Diverse automatic identification technologies have been more in vogue such as Radio Frequency Identification… Read full abstract & cite →

Student attendance Attendance Management System (AMS) information service RFID IoT radio-frequency identification Arduino
38

Social Network Link Prediction using Semantics Deep Learning

Author 1: Maria Ijaz Author 2: Javed Ferzund Author 3: Muhammad Asif Suryani Author 4: Anam Sardar

Currently, social networks have brought about an enormous number of users connecting to such systems over a couple of years, whereas the link mining is a key research track in this area. It has pulled the consideration of several analysts as a powerful system to be utilized as a part… Read full abstract & cite →

Link prediction system post analysis semantic similarity data analysis social network analysis dictionary co-similar links
39

Matrix Clustering based Migration of System Application to Microservices Architecture

Author 1: Shahbaz Ahmed Khan Ghayyur Author 2: Abdul Razzaq Author 3: Saeed Ullah Author 4: Salman Ahmed

A microservice architecture (MSA) style is an emerging approach which is gaining strength with the passage of time. Micro services are recommended by a number of researchers to overcome the limitations and issues encountered by usage of aging method of monolithic architecture styles. Previously the monolithic applications cannot be decomposed… Read full abstract & cite →

Monolithic architecture microservices architecture systematic mapping system migration application transformation traditional application development emerging challenges API
40

DoS/DDoS Detection for E-Healthcare in Internet of Things

Author 1: Iftikhar ul Sami Author 2: Maaz Bin Ahmad Author 3: Muhammad Asif Author 4: Rafi Ullah

Internet of Things (IoT) has emerged as a new horizon in communication age. IoT has provided platform to various emerging technologies and applications for growth. E-Health services have also been integrated and greatly benefitted from IoT. Due to the increased use of computer technology, computer networks have faced serious security… Read full abstract & cite →

E-Healthcare DDoS attack Internet of Things
41

Truncated Patch Antenna on Jute Textile for Wireless Power Transmission at 2.45 GHz

Author 1: Kais Zeouga Author 2: Lotfi Osman Author 3: Ali Gharsallah Author 4: Bhaskar Gupta

Jute textile is made from natural fibres and is known for its strength and durability. To determine if jute could be used as a substrate for microstrip antennas, its electromagnetic characteristics (permittivity and loss tangent) are measured in the band of 1 GHz to 5 GHz. The obtained data are… Read full abstract & cite →

Jute textile permittivity measurement loss tangent measurement patch antenna truncated patch antenna frequency shift wireless power transmission
42

A Hybrid Approach for Feature Subset Selection using Ant Colony Optimization and Multi-Classifier Ensemble

Author 1: Anam Naseer Author 2: Waseem Shahzad Author 3: Arslan Ellahi

An active area of research in data mining and machine learning is dimensionality reduction. Feature subset selection is an effective technique for dimensionality reduction and an essential step in successful data mining applications. It reduces the number of features, removes irrelevant, redundant, or noisy features, and enhances the predictive capability… Read full abstract & cite →

Ant colony optimization predictive classifier features selection
43

Efficient Smart Emergency Response System for Fire Hazards using IoT

Author 1: Lakshmana Phaneendra Maguluri Author 2: Tumma Srinivasarao Author 3: Maganti Syamala Author 4: R. Ragupathy Author 5: N.J. Nalini

The Internet of Things pertains to connecting currently unconnected things and people. It is the new era in transforming the existed systems to amend the cost effective quality of services for the society. To support Smart city vision, Urban IoT design plans exploit added value services for citizens as well… Read full abstract & cite →

Internet of Things (IoT) Aurduino IDE GPS
44

An Information Theoretic Analysis of Random Number Generator based on Cellular Automaton

Author 1: Amirahmad Nayyeri Author 2: Gholamhossein Dastghaibyfard

Realization of Randomness had always been a controversial concept with great importance both from theoretical and practical Perspectives. This realization has been revolutionized in the light of recent studies especially in the realms of Chaos Theory, Algorithmic Information Theory and Emergent behavior in complex systems. We briefly discuss different definitions… Read full abstract & cite →

Random number generators entropy correlation information elementary cellular automata reversibility
45

Requirement Elicitation Techniques for Open Source Systems: A Review

Author 1: Hafiza Maria Kiran Author 2: Zulfiqar Ali

The trend of Open Source Software development has been increased from the past few years. It has gained much attention of developers in the industry. The development of open source software systems is slightly different from traditional software development. In open source software development, requirement elicitation is a very complex… Read full abstract & cite →

Requirements engineering requirement elicitation open source system requirement elicitation techniques
46

A Parallel Community Detection Algorithm for Big Social Networks

Author 1: Yathrib AlQahtani Author 2: Mourad Ykhlef

Mining social networks has become an important task in data mining field, which describes users and their roles and relationships in social networks. Processing social networks with graph algorithms is the source for discovering many features. The most important algorithms applied to social networks are community detection algorithms. Communities of… Read full abstract & cite →

Data mining social networks community detection distributed computing Pregel
47

Comparison between Two Adaptive Controllers Applied to Greenhouse Climate Monitoring

Author 1: Mohamed Essahafi Author 2: Mustapha Ait Lafkih

This paper presents a study of a multivariable Adaptive Generalized Predictive Controller and its application to control the thermal behaviour of an agricultural greenhouse, which is composed of a number of different elements (cover, internal air, plants, soil, actuators and sensors). The thermal model was obtained after the study of… Read full abstract & cite →

Generalized predictive control greenhouse multivariable control identification recursive least square
48

A Predictive Model for Solar Photovoltaic Power using the Levenberg-Marquardt and Bayesian Regularization Algorithms and Real-Time Weather Data

Author 1: Mohammad H. Alomari Author 2: Ola Younis Author 3: Sofyan M. A. Hayajneh

The stability of power production in photovoltaics (PV) power plants is an important issue for large-scale gridconnected systems. This is because it affects the control and operation of the electrical grid. An efficient forecasting model is proposed in this paper to predict the next-day solar photovoltaic power using the Levenberg-Marquardt… Read full abstract & cite →

Solar photovoltaic solar irradiance PV power forecasting machine learning artificial neural networks Levenberg-Marquardt Bayesian regularization
49

Improving Energy Conservation in Wireless Sensor Network Using Energy Harvesting System

Author 1: Abdul Rashid Author 2: Faheem Khan Author 3: Toor Gul Author 4: Fakhr-e-Alam Author 5: Shujaat Ali Author 6: Samiullah Khan Author 7: Fahim Khan Khalil

Wireless Sensor Networks assume an imperative part to monitor and gather information from complex geological ranges. Energy conservation plays a fundamental role in WSNs since such sensor networks are designed to be located in dangerous and non-accessible areas and has gained popularity since the last decade. The main issue of… Read full abstract & cite →

Wireless sensor network Low Energy Adaptive Cluster Hierarchy (LEACH) clustering cluster head energy harvesting energy conservation
50

A New Motion Planning Framework based on the Quantized LQR Method for Autonomous Robots

Author 1: Onur Sencan Author 2: Hakan Temeltas

This study addresses an argument on the disconnection between the computational side of the robot navigation problem with the control problem including concerns on stability. We aim to constitute a framework that includes a novel approach of using quantizers for occupancy grids and vehicle control systems concurrently. This representation allows… Read full abstract & cite →

Robot motion mobile robotics hybrid systems optimal control quantization
51

Bearing Fault Classification based on the Adaptive Orthogonal Transform Method

Author 1: Mohamed Azergui Author 2: Abdenbi Abenaou Author 3: Hassane Bouzahir

In this work, we propose an approach based on building an adaptive base which permits to make accurate decisions for diagnosis. The orthogonal adaptive transformation consists of calculating the adaptive operator and the standard spectrum for every state, using two sets of vibration signal records for each type of fault… Read full abstract & cite →

Condition monitoring vibration analysis adaptive orthogonal transformation bearing fault
52

Improving Security of the Telemedicine System for the Rural People of Bangladesh

Author 1: Toufik Ahmed Emon Author 2: Uzzal Kumar Prodhan Author 3: Mohammad Zahidur Rahman Author 4: Israt Jahan

Telemedicine is a healthcare system where healthcare professionals have the capability to observe, diagnose, evaluate and treat the patient from a remote location and the patient have the ability to easily access the medical expertise quickly and efficiently. Increasing popularity of Telemedicine increase the security intimidations. In this paper, a… Read full abstract & cite →

Telemedicine security encryption hashing
53

Nonlinear Model Predictive Control for pH Neutralization Process based on SOMA Algorithm

Author 1: Hajer Degachi Author 2: Wassila Chagra Author 3: Moufida Ksouri

In this work, the pH neutralization process is described by a neural network Wiener (NNW) model. A nonlinear Model Predictive Control (NMPC) is established for the considered process. The main difficulty that can be encountered in NMPC is solving the optimization problem at each sampling time to determine an optimal… Read full abstract & cite →

Nonlinear model predictive control optimization SOMA algorithm adaptive PID pH neutralization process
54

An Efficient Participant’s Selection Algorithm for Crowdsensing

Author 1: Tariq Ali Author 2: Umar Draz Author 3: Sana Yasin Author 4: Javeria Noureen Author 5: Ahmad shaf Author 6: Munwar Ali

With the advancement of mobile technology the use of Smartphone is greatly increased. Everyone has the mobile phones and it becomes the necessity of life. Today, smart devices are flooding the internet data at every time and in any form that cause the mobile crowdsensing (MCS). One of the key… Read full abstract & cite →

Mobile crowdsensing (MCS) Mobile Sensing Platform (MSP]) crowd sensing participant user pool crowdsourcing
55

An Energy-Efficient User-Centric Approach for High-Capacity 5G Heterogeneous Cellular Networks

Author 1: Abdulziz M. Ghaleb Author 2: Ali Mohammed Mansoor Author 3: Rodina Ahmad

Today’s cellular networks (3G/4G) do not scale well in heterogeneous networks (HetNets) of multiple technologies that employ network-centric (NC) model. This destabilization is due to the need for coordination and management of multiple layers of the HetNets that the NC models cannot provide. User-centric (UC) approach is one of the… Read full abstract & cite →

Energy efficiency HetNets green networks usercentric network-centric 5G
56

Lifetime Maximization on Scalable Stable Election Protocol for Large Scale Traffic Engineering

Author 1: Muhammad Asad Author 2: Arsalan Ali Shaikh Author 3: Soomro Pir Dino Author 4: Muhammad Aslam Author 5: Yao Nianmin

Recently, Wireless Sensor Networks (WSNs) are getting more fame because of low cost and easy to manage and maintain. WSNs consists of sensor nodes and a Base Station (BS). Sensor nodes are responsible to sense, transmit and receive the data packets from sensing field, and the BS is responsible to… Read full abstract & cite →

Wireless sensor networks (WSN) heterogeneous network clustered routing protocol traffic engineering
57

Comparative Analysis of Raw Images and Meta Feature based Urdu OCR using CNN and LSTM

Author 1: Asma Naseer Author 2: Kashif Zafar

Urdu language uses cursive script which results in connected characters constituting ligatures. For identifying characters within ligatures of different scales (font sizes), Convolution Neural Network (CNN) and Long Short Term Memory (LSTM) Network are used. Both network models are trained on formerly extracted ligature thickness graphs, from which models extract… Read full abstract & cite →

Long Short Term Memory (LSTM) Convolution Neural Network (CNN) OCR scale invariance deep learning ligature
58

An Empirical Evaluation of Error Correction Methods and Tools for Next Generation Sequencing Data

Author 1: Atif Mehmood Author 2: Javed Ferzund Author 3: Muhammad Usman Ali Author 4: Abbas Rehman Author 5: Shahzad Ahmed Author 6: Imran Ahmad

Next Generation Sequencing (NGS) technologies produce massive amount of low cost data that is very much useful in genomic study and research. However, data produced by NGS is affected by different errors such as substitutions, deletions or insertion. It is essential to differentiate between true biological variants and alterations occurred… Read full abstract & cite →

Next generation sequencing bioinformatics errors error correction execution time k-spectrum suffix tree based hybrid based
59

Combinatorial Double Auction Winner Determination in Cloud Computing using Hybrid Genetic and Simulated Annealing Algorithm

Author 1: Ali Sadigh Yengi Kand Author 2: Ali Asghar Pourhaji Kazem

With the advancement of information technology need to perform computing tasks everywhere and all the time there, in cloud computing environments and heterogeneous users have access to different sources with different characteristics that these resources are geographically in different areas. Due to this, the allocation of resources in cloud computing… Read full abstract & cite →

Cloud computing double auction winner determination genetic algorithm simulated annealing
60

QoS-based Cloud Manufacturing Service Composition using Ant Colony Optimization Algorithm

Author 1: Elsoon Neshati Author 2: Ali Asghar Pourhaji Kazem

Cloud manufacturing (CMfg) is a service-oriented platform that enables engineers to use the manufacturing capacity in the form of cloud-based services that aggregated in service pools on demand. In CMfg, the integration of manufacturing resources across different areas and industries is accomplished using cloud services. In recent years, the interest… Read full abstract & cite →

Cloud computing cloud manufacturing service composition ant colony optimization
61

Envisioning Internet of Things using Fog Computing

Author 1: Urooj Yousuf Khan Author 2: Tariq Rahim Soomro

Internet of Things is the future of the Internet. It encircles a wide scope. There are currently billions of devices connected to the Internet and this trend is expecting to grow exponentially. Cisco predicts there are at present 20 billion connected devices. These devices, along with their varied data types… Read full abstract & cite →

IoT fog computing cloud computing
62

A Group Decision-Making Method for Selecting Cloud Computing Service Model

Author 1: Ibrahim M. Al-Jabri Author 2: Mustafa I. Eid Author 3: M. Sadiq Sohail

Cloud computing is a new technology that has great potential for the business world. Many business firms have implemented, are implementing, or planning to implement cloud computing technology. The cloud computing resources are delivered in various forms of service models which make it challenging for business customers to select the… Read full abstract & cite →

Cloud computing cloud service models multi-criteria decision-making group decision-making
63

Prediction of Stroke using Data Mining Classification Techniques

Author 1: Ohoud Almadani Author 2: Riyad Alshammari

Stroke is a neurological disease that occurs when a brain cells die as a result of oxygen and nutrient deficiency. Stroke detection within the first few hours improves the chances to prevent complications and improve health care and management of patients. In addition, significant effect of medications that were used… Read full abstract & cite →

Stroke data mining classification
64

Hardware Implementation for the Echo Canceller System based Subband Technique using TMS320C6713 DSP Kit

Author 1: Mahmod. A. Al Zubaidy Author 2: Sura Z. Thanoon

The acoustic echo cancellation system is very important in the communication applications that are used these days; in view of this importance we have implemented this system practically by using DSP TMS320C6713 Starter Kit (DSK). The acoustic echo cancellation system was implemented based on 8 subbands techniques using Least Mean… Read full abstract & cite →

Acoustic echo canceller Least Mean Square (LMS) Normalized Least Mean Square (NLMS) TMS320C6713 8 subbands adaptive filter
65

SME Cloud Adoption in Botswana: Its Challenges and Successes

Author 1: Malebogo Khanda Author 2: Srinath Doss

The standard office or business in Botswana hosts their resources in-house. This means that a company will have their hardware, software and support staff as part of their daily work operations. Technology has brought a shift to the office environment with Cloud Computing. Botswana has seen the growth of the… Read full abstract & cite →

Cloud computing SME’s cloud computing services cloud business processes cloud computing framework cloud deployment models cloud computing services model
66

Survey Paper for Software Project Team, Staffing, Scheduling and Budgeting Problem

Author 1: Rizwan Akram Author 2: Salman Ihsan Author 3: Shaista Zafar Author 4: Babar Hayat

Software project scheduling is a standout amongst the most imperative scheduling zones looked by Software project management team. Software development companies are under substantial strain to finish projects on time, with budget, quality and with the suitable level of values and qualities. Inexperienced development team or potentially poor management can… Read full abstract & cite →

Software engineering project management software project resources project scheduling budgeting team
67

Real-Time Experimentation and Analysis of Wifi Spectrum Utilization in Microwave Oven Noisy Environment

Author 1: Yakubu S. Baguda

The demand for broadband wireless communication in home and office has been increasing exponentially; thus, the need for reliable and effective communication is very crucial. Both theoretical and experimental investigations have clearly shown that electromagnetic radiation from external sources such as microwave oven (MWO) has detrimental impact on the wireless… Read full abstract & cite →

Electromagnetic radiation microwave oven spectrum utilization bandwidth ISM band signal strength throughput wireless channel
68

Deep Learning Technology for Predicting Solar Flares from (Geostationary Operational Environmental Satellite) Data

Author 1: Tarek A M Hamad Nagem Author 2: Rami Qahwaji Author 3: Stan Ipson Author 4: Zhiguang Wang Author 5: Alaa S. Al-Waisy

Solar activity, particularly solar flares can have significant detrimental effects on both space-borne and grounds based systems and industries leading to subsequent impacts on our lives. As a consequence, there is much current interest in creating systems which can make accurate solar flare predictions. This paper aims to develop a… Read full abstract & cite →

Convolutional neural network deep learning solar flare prediction space weather insert
69

Cyber-Security Incidents: A Review Cases in Cyber-Physical Systems

Author 1: Mohammed Nasser Al-Mhiqani Author 2: Rabiah Ahmad Author 3: Warusia Yassin Author 4: Aslinda Hassan Author 5: Zaheera Zainal Abidin Author 6: Nabeel Salih Ali Author 7: Karrar Hameed Abdulkareem

Cyber-Physical Systems refer to systems that have an interaction between computers, communication channels and physical devices to solve a real-world problem. Towards industry 4.0 revolution, Cyber-Physical Systems currently become one of the main targets of hackers and any damage to them lead to high losses to a nation. According to… Read full abstract & cite →

Cyber-Physical Systems threats incidents security cybersecurity taxonomies matrix threats analysis
70

Measuring Quality of E-Learning and Desaire2Learn in the College of Science and Humanities at Alghat, Majmaah University

Author 1: Abdelmoneim Ali Mohamed Author 2: Faisal Mohammed Nafie

E-learning and Desaire2Learn (D2L) system were used in several higher education institutions; the learning satisfaction depends on the quality of the system applied to serve this issue and its importance in users mind. Therefore, this study, intended to explore the degree of students and Satisfaction of faculty members with the… Read full abstract & cite →

E-learning Desire2Learn D2L quality E-learning quality learning satisfaction
71

TSAN: Backbone Network Architecture for Smart Grid of P.R China

Author 1: Raheel Ahmed Memon Author 2: Jianping Li Author 3: Anwar Ahmed Memon Author 4: Junaid Ahmed Author 5: Muhammad Irshad Nazeer Author 6: Muhammad Ismail

Network architecture of any real-time system must be robust enough to absorb several network failures and still work smoothly. Smart Grid Network is one of those big networks that should be considered and designed carefully because of its dependencies. There are several hybrid approaches that have been proposed using wireless… Read full abstract & cite →

Smart Grid TSAN 1000BASE-ZX ethernet backbone architecture
72

Data Synchronization Model for Heterogeneous Mobile Databases and Server-side Database

Author 1: Abdullahi Abubakar Imam Author 2: Shuib Basri Author 3: Rohiza Ahmad Author 4: Abdul Rehman Gilal

Mobile devices, because they can be used to access corporate information anytime anywhere, have recently received considerable attention, and several research efforts have been tailored towards addressing data synchronization problems. However, the solutions are either vendor specific or homogeneous in nature. This paper proposed Heterogeneous Mobile Database Synchronization Model (HMDSM)… Read full abstract & cite →

Heterogeneous databases data synchronization mobile databases mobile devices NoSQL database relational databases
73

Data Mining Techniques to Construct a Model: Cardiac Diseases

Author 1: Noreen Akhtar Author 2: Muhammad Ramzan Talib Author 3: Nosheen Kanwal

Using echocardiography flexible Transthoracic Echocardiography reported data set detecting heart disease by using mining techniques designed prediction model the data set can develop the reliability of analysis of cardiac diseases by echocardiography, using eight iterative and interactive steps consisting Knowledge Discovery in Database (KDD) methodology including from 209 patients with… Read full abstract & cite →

Knowledge Discovery in Database (KDD) data mining decision trees neural networks Bayesian classifier heart disease
74

Fuzzy Logic based Approach for VoIP Quality Maintaining

Author 1: Mohamed E. A. Ebrahim Author 2: Hesham A. Hefny

Voice communication is an emerging technology and has great importance in our routine life. Perceptual, Voice over Internet Protocol quality is an important issue for VoIP Apps services because VoIP Apps require real-time support. Many network factors (packet loss, packet delay, and jitter) affect to VoIP quality, to achieve this… Read full abstract & cite →

Voice over Internet Protocol (VoIP) Fuzzy model System (FMS) Fuzzy Token Bucket Algorithm (FTBA) Resource Reservation Protocol (RSVP) Quality of Service (QoS)
75

Conceptual Modeling of a Procurement Process

Author 1: Sabah Al Fedaghi Author 2: Mona Al-Otaibi

Procurement refers to a process resulting in delivery of goods or services within a set time period. The process includes aspects of purchasing, specifications to be met, and solicitation notifications as in the case of Request For Proposals (RFPs). Typically, such an RFP is described in a verbal ad hoc… Read full abstract & cite →

Procurement RFP public key infrastructure conceptual modeling diagrammatic representation
76

Average Link Stability with Energy-Aware Routing Protocol for MANETs

Author 1: Sofian Hamad Author 2: Salem Belhaj Author 3: Muhana M. Muslam

This paper suggests the A-LSEA (Average Link Stability and Energy Aware) routing protocol for Mobile Ad-hoc Networks (MANETs). The main idea behind this algorithm is on the one hand, a node must have enough Residual Energy (RE) before retransmitting the Route Request (RREQ) and declaring itself as a participating node… Read full abstract & cite →

Mobile Ad-hoc Network (MANET) routing protocol energy aware link life time AODV
77

Agent based Architecture for Modeling and Analysis of Self Adaptive Systems using Formal Methods

Author 1: Natash Ali Mian Author 2: Farooq Ahmad

Self-adaptive systems (SAS) can modify their behavior during execution; this modification is done because of change in internal or external environment. The need for self-adaptive software systems has increased tremendously in last decade due to ever changing user requirements, improvement in technology and need for building software that reacts to… Read full abstract & cite →

Formal methods self-adaptive systems agent based modeling feedback loop Petri nets
78

Reverse Engineering State and Strategy Design Patterns using Static Code Analysis

Author 1: Khaled Abdelsalam Mohamed Author 2: Amr Kamel

This paper presents an approach to detect behavioral design patterns from source code using static analysis techniques. It depends on the concept of Code Property Graph and enriching graph with relationships and properties specific to Design Patterns, to simplify the process of Design Pattern detection. This approach used NoSQL graph… Read full abstract & cite →

Reverse engineering source code analysis design patterns static analysis graph matching Gremlin Joern Neo4j
79

OpenMP Implementation in the Characterization of a Urban Growth Model Cellular Automaton

Author 1: Alvaro Peraza Garzón Author 2: René Rodríguez Zamora Author 3: Wenseslao Plata Rocha

This paper presents the implementation of a parallelization strategy using the OpenMP library, while developing a simulation tool based on a cellular automaton (CA) to run urban growth simulations. The characterization of an urban growth model CA is shown and it consists of a digitization process of the land use… Read full abstract & cite →

Cellular automata parallel programming simulation models OpenMP urban growth

Important Dates

Volume 17 No. 11, November 2026
Paper Submission Due October 25, 2026
Review Notification November 15, 2026
Publication Date November 30, 2026