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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. 8 Issue 6 (2017)

Open Access | | 62 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

Intelligent Security for Phishing Online using Adaptive Neuro Fuzzy Systems

Author 1: G. Fehringer Author 2: P. A. Barraclough

Anti-phishing detection solutions employed in industry use blacklist-based approaches to achieve low false-positive rates, but blacklist approaches utilizes website URLs only. This study analyses and combines phishing emails and phishing web-forms in a single framework, which allows feature extraction and feature model construction. The outcome should classify between phishing, suspicious… Read full abstract & cite →

Phishing websites fuzzy models feature model intelligent detection neuro fuzzy fuzzy inference system
2

Multispectral Image Analysis using Decision Trees

Author 1: Arun Kulkarni Author 2: Anmol Shrestha

Many machine learning algorithms have been used to classify pixels in Landsat imagery. The maximum likelihood classifier is the widely-accepted classifier. Non-parametric methods of classification include neural networks and decision trees. In this research work, we implemented decision trees using the C4.5 algorithm to classify pixels of a scene from… Read full abstract & cite →

Decision trees knowledge extraction fuzzy inference system Landsat imagery
3

Sentiment Analysis on Twitter Data using KNN and SVM

Author 1: Mohammad Rezwanul Huq Author 2: Ahmad Ali Author 3: Anika Rahman

Millions of users share opinions on various topics using micro-blogging every day. Twitter is a very popular micro-blogging site where users are allowed a limit of 140 characters; this kind of restriction makes the users be concise as well as expressive at the same time. For that reason, it becomes… Read full abstract & cite →

Support Vector Machine (SVM) k-nearest neighbor (KNN) Grid Search Confusion matrix ROC graph Hyperplane Social data analysis
4

Handwritten Digit Recognition based on Output-Independent Multi-Layer Perceptrons

Author 1: Ismail M. Keshta

With handwritten digit recognition being an established and significant problem that is facing computer vision and pattern recognition, there has been a great deal of research work that has been undertaken in this area. It is not a trivial task because of the big variation that exists in the writing… Read full abstract & cite →

Handwritten digit recognition Pattern classification Neural network mode Two-class classification Accuracy Binary data
5

Process Improvements for Crowdsourced Software Testing

Author 1: Sulta Alyahya Author 2: Dalal Alrugebh

Crowdsourced software testing has been a common practice lately. It refers to the use of crowdsourcing in software testing activities. Although the crowd testing is a collaborative process by nature, there is no available research that provides a critical assessment of the key collaboration activities offered by the current crowdsourced… Read full abstract & cite →

Software testing crowdsourcing crowd testing process improvement tool
6

Glaucoma-Deep: Detection of Glaucoma Eye Disease on Retinal Fundus Images using Deep Learning

Author 1: Qaisar Abbas

Detection of glaucoma eye disease is still a challenging task for computer-aided diagnostics (CADx) systems. During eye screening process, the ophthalmologists measures the glaucoma by structure changes in optic disc (OD), loss of nerve fibres (LNF) and atrophy of the peripapillary region (APR). In retinal images, the automated CADx systems… Read full abstract & cite →

Fundus imaging glaucoma diabetic retinopathy deep learning convolutional neural networks deep belief network
7

GPC Temperature Control of A Simulation Model Infant-Incubator and Practice with Arduino Board

Author 1: E. Feki Author 2: M. A. Zermani Author 3: A. Mami

The thermal environment surrounding preterm neonates in closed incubators is regulated via air temperature control mode. At present, these control modes do not take account of all the thermal parameters involved in a pattern of incubator such as the thermal parameters of preterm neonates (birth weight < 1000grams). The objective… Read full abstract & cite →

Incubator neonatal model temperature Arduino GPC
8

Intelligent Hybrid Approach for Android Malware Detection based on Permissions and API Calls

Author 1: Altyeb Altaher Author 2: Omar Mohammed Barukab

Android malware is rapidly becoming a potential threat to users. The number of Android malware is growing exponentially; they become significantly sophisticated and cause potential financial and information losses for users. Hence, there is a need for effective and efficient techniques to detect the Android malware applications. This paper proposes… Read full abstract & cite →

Android malware detection features selection fuzzy inference system particle swarm optimization
9

Insight to Research Progress on Secure Routing in Wireless Ad hoc Network

Author 1: Jyoti Neeli Author 2: N K Cauvery

Wireless Ad hoc Network offers a cost effective communication to the users free from any infrastructural dependencies. It is characterized by decentralized architecture, mobile nodes, dynamic topology, etc. that makes the network formation typically challenging. In the past decade, there has been a series of research work towards enhancing its… Read full abstract & cite →

Attacks confidentiality secured routing integrity mobile ad hoc network wireless ad hoc network
10

Environments and System Types of Virtual Reality Technology in STEM: a Survey

Author 1: Asmaa Saeed Alqahtani Author 2: Lamya Foaud Daghestani Author 3: Lamiaa Fattouh Ibrahim

Virtual Reality (VR) technology has been used widely today in Science, Technology, Engineering and Mathematics (STEM) fields. The VR is emerging computer interface distinguished by high degrees of immersion, trustworthy, and interaction. The goal of VR is making the user believe, as much as possible, that he is within the… Read full abstract & cite →

Virtual reality 3D graphics immersion 3D images navigation multimedia
11

Phishing Websites Classification using Hybrid SVM and KNN Approach

Author 1: Altyeb Altaher

Phishing is a potential web threat that includes mimicking official websites to trick users by stealing their important information such as username and password related to financial systems. The attackers use social engineering techniques like email, SMS and malware to fraud the users. Due to the potential financial losses caused… Read full abstract & cite →

information security phishing websites Support vector machine K-nearest neighbors
12

On Arabic Character Recognition Employing Hybrid Neural Network

Author 1: Al-Amin Bhuiyan Author 2: Fawaz Waselallah Alsaade

Arabic characters illustrate intricate, multidimensional and cursive visual information. Developing a machine learning system for Arabic character recognition is an exciting research. This paper addresses a neural computing concept for Arabic Optical Character Recognition (OCR). The method is based on local image sampling of each character to a selected feature… Read full abstract & cite →

Arabic characters Arabic OCR image histogram BAMMLP hybrid neural network
13

Cross-Layer-Based Adaptive Traffic Control Protocol for Bluetooth Wireless Networks

Author 1: Sabeen Tahir Author 2: Sheikh Tahir Bakhsh

Bluetooth technology is particularly designed for a wireless personal area network that is low cost and less energy consuming. Efficient transmission between different Bluetooth nodes depends on network formation. An inefficient Bluetooth topology may create a bottleneck and a delay in the network when data is routed. To overcome the… Read full abstract & cite →

Bluetooth scatternet multi-layer resolving bottleneck reducing control overhead component
14

A Comparative Study on the Effect of Multiple Inheritance Mechanism in Java, C++, and Python on Complexity and Reusability of Code

Author 1: Fawzi Albalooshi Author 2: Amjad Mahmood

Two of the fundamental uses of generalization in object-oriented software development are the reusability of code and better structuring of the description of objects. Multiple inheritance is one of the important features of object-oriented methodologies which enables developers to combine concepts and increase the reusability of the resulting software. However… Read full abstract & cite →

Reusability complexity python java C++ CK metrics multiple inheritance software metrics
15

Fast Hybrid String Matching Algorithm based on the Quick-Skip and Tuned Boyer-Moore Algorithms

Author 1: Sinan Sameer Mahmood Al-Dabbagh Author 2: Nuraini bint Abdul Rashid Author 3: Mustafa Abdul Sahib Naser Author 4: Nawaf Hazim Barnouti

The string matching problem is considered as one of the most interesting research areas in the computer science field because it can be applied in many essential different applications such as intrusion detection, search analysis, editors, internet search engines, information retrieval and computational biology. During the matching process two main… Read full abstract & cite →

Hybrid algorithm string matching algorithm Tuned Boyer-Moore algorithm quick-skip search algorithm Sinan Sameer Tuned Boyer Moore-Quick Skip Search (SSTBMQS)
16

Multi-Criteria Wind Turbine Selection using Weighted Sum Approach

Author 1: Shafiqur Rehman Author 2: Salman A. Khan

Wind energy is becoming a potential source for renewable and clean energy. An important factor that contributes to efficient generation of wind power is the use of appropriate wind turbine. However, the task of selecting an appropriate, site-specific turbine is a complex problem. The complexity is due to the presence… Read full abstract & cite →

Wind turbine renewable energy weighted sum method multi-criteria decision-making
17

An Adaptive CAD System to Detect Microcalcification in Compressed Mammogram Images

Author 1: Ayman AbuBaker

Microcalcifications (MC) in mammogram images are an early sign for breast cancer and their early detection is vital to improve its prognosis. Since MC appears as small dot in the mammogram image with size less than 1 mm and maybe easily overlooked by the radiologist, the Computer Aided Diagnosis (CAD)… Read full abstract & cite →

Mammogram image texture features Discrete Cosine Transform (DCT) Singular Value Decomposition (SVD)
18

A Learner Model for Adaptable e-Learning

Author 1: Moiz Uddin Ahmed Author 2: Nazir Ahmed Sangi Author 3: Amjad Mahmood

The advancement in Information and Communication Technology (ICT) has provided new opportunities for teaching and learning in the form of e-learning. However, developing specialized contents, accommodating profiles of learners, e-learning pedagogy and available ICT infrastructure are the real challenges that need to be properly addressed for any successful e-learning system… Read full abstract & cite →

E-learning adaptable pedagogy learning styles e-assessment
19

Implementation of the RN Method on FPGA using Xilinx System Generator for Nonlinear System Regression

Author 1: Intissar SAYEHI Author 2: Okba TOUALI Author 3: T. Saidani Author 4: B. Bouallegue Author 5: Mohsen MACHHOUT

In this paper, we propose a new approach aiming to ameliorate the performances of the regularization networks (RN) method and speed up its computation time. A considerable rapidity in totaling calculation time and high performance were accomplished through conveying difficult calculation charges to FPGA. Using Xilinx System Generator, a successful… Read full abstract & cite →

Machine learning Reproducing Kernel Hilbert Spaces (RKHS) regularization networks FPGA HW/SW Co-simulation systolic array architecture PT326 Wiener-Hammerstein benchmark
20

A Parallel Genetic Algorithm for Maximum Flow Problem

Author 1: Ola M. Surakhi Author 2: Mohammad Qatawneh Author 3: Hussein A. al Ofeishat

The maximum flow problem is a type of network optimization problem in the flow graph theory. Many important applications used the maximum flow problem and thus it has been studied by many researchers using different methods. Ford Fulkerson algorithm is the most popular algorithm that used to solve the maximum… Read full abstract & cite →

Flow network Ford Fulkerson algorithm Genetic algorithm Max Flow problem MPI multithread supercomputer
21

Design of a High Speed Architecture of MQ-Coder for JPEG2000 on FPGA

Author 1: Taoufik Salem Saidani Author 2: Hafedh Mahmoud Zayani

Digital imaging is omnipresent today. In many areas, digitized images replace their analog ancestors such as photographs or X-rays. The world of multimedia makes extensive use of image transfer and storage. The volume of these files is very high and the need to develop compression algorithms to reduce the size… Read full abstract & cite →

MQ-Coder High speed architecture FPGA JPEG2000 VHDL
22

One-Year Survival Prediction of Myocardial Infarction

Author 1: Abdulkader Helwan Author 2: Dilber Uzun Ozsahin Author 3: Rahib Abiyev Author 4: John Bush

Myocardial infarction is still one of the leading causes of death and morbidity. The early prediction of such disease can prevent or reduce the development of it. Machine learning can be an efficient tool for predicting such diseases. Many people have suffered myocardial infarction in the past. Some of those… Read full abstract & cite →

Machine learning myocardial infarction backpropagation radial basis function network generalization one-year survival prediction
23

A Collaborative Approach for Effective Requirement Elicitation in Oblivious Client Environment

Author 1: Muhammad Kashif Hanif Author 2: Muhammad Ramzan Talib Author 3: Nauman Ul Haq Author 4: Arfan Mansoor Author 5: Muhammad Umer Sarwar Author 6: Nafees Ayub

Acquiring the desired requirements from customer through requirement elicitation process is a big deal as entire project depends on this initial important activity. Poor requirement elicitation affects software quality. Various factors in the oblivious client environment like culture, linguistic, gender, nationality, race and politics; can affect the final deliverables. The… Read full abstract & cite →

Requirement elicitation oblivious client software development quality improvement elicitation model
24

An Empirical Investigation into Blended Learning Effects on Tertiary Students and Students Perceptions on the Approach in Botswana

Author 1: Gofaone Kgosietsile Kebualemang Author 2: Alpheus Wanano Mogwe

The aim of the research was to conduct an empirical investigation into blended learning (BL) effects on tertiary students and students’ perceptions on the approach. This purpose was objective driven, following three objectives which were identified as 1) to assess the impact of BL on students enrolled in Tertiary institutions… Read full abstract & cite →

Blended learning blended learning effects Students’ perceptions
25

MAC Protocol with Regression based Dynamic Duty Cycle Feature for Mission Critical Applications in WSN

Author 1: Gayatri Sakya Author 2: Vidushi Sharma

Wireless sensor networks demand energy efficient and application specific medium access control protocol when deployed in critical areas which are not frequently accessible. In such areas, the residual energy of nodes also become important along with the efficient data delivery. Many techniques using adaptive duty cycle approach are suggested by… Read full abstract & cite →

Regression based adaptive duty cycle approach mission critical MAC analytical model performance analysis
26

An Internet-based Student Admission Screening System utilizing Data Mining

Author 1: Dolluck Phongphanich Author 2: Wirat Choonui

This study aimed to propose an internet-based student admission screening system utilizing data mining in order for officers to reduce time to evaluate applicants as well as for the faculty to use less human resources on screening applicants that meets their proficiency and criteria of each department. Another benefit is… Read full abstract & cite →

Classification method data mining decision tree student admission screening
27

EVOTLBO: A TLBO based Method for Automatic Test Data Generation in EvoSuite

Author 1: Mohammad Mehdi Dejam Shahabi Author 2: S. Parsa Badiei Author 3: S. Ehsan Beheshtian Author 4: Reza Akbari Author 5: S. Mohammad Reza Moosavi

Now-a-days software has a great impact on different aspects of human life. Software systems are responsible for safety of major critical tasks. To prevent catastrophic malfunctions, promising quality testing techniques should be used during software development. Software testing is an effective technique to catch defects, but it significantly increases the… Read full abstract & cite →

EvoSuite TLBO test data generation
28

An Investigation into the Suitability of k-Nearest Neighbour (k-NN) for Software Effort Estimation

Author 1: Razak Olu-Ajayi

Software effort estimation is an increasingly significant field, due to the overwhelming role of software in today’s global market. Effort estimation involves forecasting the effort in person-months or hours required for developing a software. It is vital to ideal planning and paramount for controlling the software development process. However, there… Read full abstract & cite →

Software effort estimation machine learning k-Nearest Neighbor Constructive COst MOdel II
29

An Adaptive Solution for Congestion Control in CoAP-based Group Communications

Author 1: Fathia OUAKASSE Author 2: Said RAKRAK

The use of lightweight devices and constrained resources like Wireless Sensors Network (WSN) makes patterns traffic in the Internet of Things (IoT) different from the ones in conventional networks. One of the most emerging messaging protocols used to address the needs of these lightweight IoT nodes is Constrained Application Protocol… Read full abstract & cite →

Internet of Things (IoT) Constrained Application Protocol (CoAP) congestion control group communication multicast unicast
30

An Analytical Model for Availability Evaluation of Cloud Service Provisioning System

Author 1: Fatimah M. Alturkistani Author 2: Saad S. Alaboodi

Cloud computing is a major technological trend that continues to evolve and flourish. With the advent of the cloud, high availability assurance of cloud service has become a critical issue for cloud service providers and customers. Several studies have considered the problem of cloud service availability modeling and analysis. However… Read full abstract & cite →

Cloud computing availability evaluation series and parallel configuration infrastructure as service
31

Network Packet Classification using Neural Network based on Training Function and Hidden Layer Neuron Number Variation

Author 1: Imam Riadi Author 2: Arif Wirawan Muhammad Author 3: Sunardi

Distributed denial of service (DDoS) is a structured network attack coming from various sources and fused to form a large packet stream. DDoS packet stream pattern behaves as normal packet stream pattern and very difficult to distinguish between DDoS and normal packet stream. Network packet classification is one of the… Read full abstract & cite →

Classification DDoS neural network training function hidden layer
32

Classifying Natural Language Text as Controlled and Uncontrolled for UML Diagrams

Author 1: Nakul Sharma Author 2: Prasanth Yalla

Natural language text fall within the category of Controlled and Uncontrolled Natural Language. In this paper, an algorithm is presented to show that a given language text is controlled or uncontrolled. The parameters and framework is provided for UML diagram's repository. The parameter for controlled and uncontrolled languages is provided. Read full abstract & cite →

Natural Language Processing UML Diagrams Software Engineering
33

Automatic Fuzzy-based Hybrid Approach for Segmentation and Centerline Extraction of Main Coronary Arteries

Author 1: Khadega Khaled Author 2: Mohamed A. Wahby Shalaby Author 3: Khaled Mostafa El Sayed

Coronary arteries segmentation and centerlines extraction is an important step in Coronary Artery Disease diagnosis. The main purpose of the fully automated presented approaches is helping the clinical non-invasive diagnosis process to be done in fast way with accurate result. In this paper, a hybrid scheme is proposed to segment… Read full abstract & cite →

Automatic segmentation coronary arteries computed tomography angiography centerlines extraction
34

An Improvement of Power Saving Class Type II Algorithm in WiMAX Sleep-mode

Author 1: Mehrdad Davoudi Author 2: Mohammad-Ali Pourmina Author 3: Ahmad Salahi

Because of the fact that users can connect to a WiMAX (IEEE 802.16) network wirelessly with large-scale movement capability, it is inevitable that they cannot access electrical power sources at their desired time. As a result, a mechanism is needed to reduce power consumption; and therefore three power saving classes… Read full abstract & cite →

WiMAX IEEE 802.16 sleep mode power saving class type II (PSC II) proactive buffer quality of service (QoS)
35

ASCII based Sequential Multiple Pattern Matching Algorithm for High Level Cloning

Author 1: Manu Singh Author 2: Vidushi Sharma

For high level of clones, the ongoing (present) research scenario for detecting clones is focusing on developing better algorithm. For this purpose, many algorithms have been proposed but still we require the methods that are more efficient and robust. Pattern matching is one of those favorable algorithms which is having… Read full abstract & cite →

Pattern matching ASCII based high level clone file clone
36

Mobile Malware Classification via System Calls and Permission for GPS Exploitation

Author 1: Madihah Mohd Saudi Author 2: Muhammad ‘Afif b. Husainiamer

Now-a-days smartphones have been used worldwide for an effective communication which makes our life easier. Unfortunately, currently most of the cyber threats such as identity theft and mobile malwares are targeting smartphone users and based on profit gain. They spread faster among the users especially via the Android smartphones. They… Read full abstract & cite →

Mobile malware Global Positioning System (GPS) exploitation system call permission covering algorithm static and dynamic analyses
37

A Review and Proof of Concept for Phishing Scam Detection and Response using Apoptosis

Author 1: A Yahaya Lawal Aliyu Author 2: Madihah Mohd Saudi Author 3: Ismail Abdullah

Phishing scam is a well-known fraudulent activity in which victims are tricked to reveal their confidential information especially those related to financial information. There are various phishing schemes such as deceptive phishing, malware based phishing, DNS-based phishing and many more. Therefore in this paper, a systematic review analysis on existing… Read full abstract & cite →

Phishing apoptosis phishing detection phishing response
38

Identifying Top-k Most Influential Nodes by using the Topological Diffusion Models in the Complex Networks

Author 1: Maryam Paidar Author 2: Sarkhosh Seddighi Chaharborj Author 3: Ali Harounabadi

Social networks are sub-set of complex networks, where users are defined as nodes, and the connections between users are edges. One of the important issues concerning social network analysis is identifying influential and penetrable nodes. Centrality is an important method among many others practiced for identification of influential nodes. Centrality… Read full abstract & cite →

Topological Diffusion TOPSIS Social Network Complex Network Interactive and Non-interactive Activities Heat Diffusion Kernel
39

Grid Connected PV Plant based on Smart Grid Control and Monitoring

Author 1: Ibrahim Benabdallah Author 2: Abeer Oun Author 3: Adnène Cherif

Today, smart grid is considered as an attractive technology for monitoring and management of grid connected renewable energy plants due to its flexibility, network architecture and communication between providers and consumers. Smart grid has been deployed with renewable energy resources to be securely connected to the grid. Indeed, this technology… Read full abstract & cite →

Distributed generation systems (DGS) smart grid (SG) smart meters (SM) photovoltaic systems (PVS)
40

Modeling and FPGA Implementation of a Thermal Peak Detection Unit for Complex System Design

Author 1: Aziz Oukaira Author 2: Ouafaa Ettahri Author 3: Ahmed Lakhssassi

This paper, presents the modelization and the implementation of a thermal peak detection unit for complex system design. The modelization step starts with modeling the formula of the heat source using Simulink/Matlab tool, is the main objective of this work. Then the input temperature, the angles, the distance as well… Read full abstract & cite →

Thermal peak complex system design MATLAB GDS RO FPGA DE1
41

Quizrevision: A Mobile Application using the Google MIT App Inventor Language Compared with LMS

Author 1: Mohamed A. Amasha Author 2: Shaimaa Al-Omary

At Qassim University, the Blackboard (https://lms.qu.edu.sa) Learning Management System (LMS) is used. An exploratory study was conducted on 105 randomly selected students attending Qassim University. Of these, 91 students (87%) affirmed that they did not use the LMS as a study aide. This paper describes the means by which the… Read full abstract & cite →

Quizrevision mobile application LMS e-learning e-course MIT APP Inventor Android devices
42

A Systematic Literature Review to Determine the Web Accessibility Issues in Saudi Arabian University and Government Websites for Disable People

Author 1: Muhammad Akram Author 2: Rosnafisah Bt Sulaiman

Kingdom of Saudi Arabia has shown great commitment and support in past 10 years towards the higher education and transformation of manual governmental services to online through web. As a result number of university and e-government websites increased but without following the proper accessibility guidelines. Due to this many disable… Read full abstract & cite →

Web accessibility disability e-government web contents accessibility guidelines WCAG 1.0 WCAG 2.0 accessibility evaluation
43

Secure Encryption for Wireless Multimedia Sensors Network

Author 1: Amina Msolli Author 2: Haythem Ameur Author 3: Abdelhamid Helali Author 4: Hassen Maaref

The security in wireless multimedia sensor network is a crucial challenge engendered by environmental, material constraint requirements and the energy consumption. Standard encryption algorithms do not agree with the real-time applications on this network. One of the solutions to the challenges mentioned above is to maintain the safety and reduce… Read full abstract & cite →

Wireless Multimedia Sensor Network (WMSN) image encryption Shift-AES security
44

Towards Efficient Graph Traversal using a Multi-GPU Cluster

Author 1: Hina Hameed Author 2: Nouman M Durrani Author 3: Sehrish Hina Author 4: Jawwad A. Shamsi

Graph processing has always been a challenge, as there are inherent complexities in it. These include scalability to larger data sets and clusters, dependencies between vertices in the graph, irregular memory accesses during processing and traversals, minimal locality of reference, etc. In literature, there are several implementations for parallel graph… Read full abstract & cite →

Graph processing GPU cluster distributed graph traversal API CUDA BFS MPI
45

A Japanese Tourism Recommender System with Automatic Generation of Seasonal Feature Vectors

Author 1: Guan-Shen Fang Author 2: Sayaka Kamei Author 3: Satoshi Fujita

Tourism recommender systems have been widely used in our daily life to recommend tourist spots to users meeting their preference. In this paper, we propose a contentbased tourism recommender system considering travel season of users. In order to characterize seasonal variable features of spots,the proposed system generates seasonal feature vectors… Read full abstract & cite →

Tourism recommender system seasonal feature vector Wikipedia Twitter
46

A Survey of Big Data Analytics in Healthcare

Author 1: Muhammad Umer Sarwar Author 2: Muhammad Kashif Hanif Author 3: Ramzan Talib Author 4: Awais Mobeen Author 5: Muhammad Aslam

Debate on big data analytics has earned a remarkable interest in industry as well as academia due to knowledge, information and wisdom extraction from big data. Big data and cloud computing are two most important trends that are defining the new emerging analytical tools. Big data has various applications in… Read full abstract & cite →

Big data Analytics Healtcare Analytical tools Machine learning
47

An Image Encryption Technique based on Chaotic S-Box and Arnold Transform

Author 1: Shabieh Farwa Author 2: Tariq Shah Author 3: Nazeer Muhammad Author 4: Nargis Bibi Author 5: Adnan Jahangir Author 6: Sidra Arshad

In recent years, chaos has been extensively used in cryptographic systems. In this regard, one dimensional chaotic maps gained increased attention because of their intrinsic simplicity and ease in application. Many image encryption algorithms that are based on chaotic substitution boxes (S-boxes) have been studied in the last few years… Read full abstract & cite →

Chaos image encryption tent map S-box Arnold transform statistical analyses
48

Fault-Tolerant Model Predictive Control for a Z(TN)-Observable Linear Switching Systems

Author 1: Abir SMATI Author 2: Wassila CHAGRA Author 3: Moufida KSSOURI

This work considers the control and the state observation of a linear switched systems with actuators faults. A particular problem is studied: the occurrence of non-observable subsystem in the switching sequence. Hence, the accuracy of the state estimations will decrease affecting the observer-based fault detection algorithms. In this paper, we… Read full abstract & cite →

Switching systems Z(TN)-observability finite control set predictive control fault tolerant control multicellular converter
49

Impact of Distributed Generation on the Reliability of Local Distribution System

Author 1: Sanaullah Ahmad Author 2: Sana Sardar Author 3: Azzam Ul Asar Author 4: Babar Noor

With the growth of distributed generation (DG) and renewable energy resources the power sector is becoming more sophisticated, distributed generation technologies with its diverse impacts on power system is becoming attractive area for researchers. Reliability is one of the vital area in electric power system which defines continuous supply of… Read full abstract & cite →

Electric power system reliability distributed generation reliability assessment
50

Security Issues in the Internet of Things (IoT): A Comprehensive Study

Author 1: Mirza Abdur Razzaq Author 2: Sajid Habib Gill Author 3: Muhammad Ali Qureshi Author 4: Saleem Ullah

Wireless communication networks are highly prone to security threats. The major applications of wireless communication networks are in military, business, healthcare, retail, and transportations. These systems use wired, cellular, or adhoc networks. Wireless sensor networks, actuator networks, and vehicular networks have received a great attention in society and industry. In… Read full abstract & cite →

Internet of Things (IoT) security issues in IoT security privacy
51

A Two-Stage Classifier Approach using RepTree Algorithm for Network Intrusion Detection

Author 1: Mustapha Belouch Author 2: Salah El Hadaj Author 3: Mohamed Idhammad

In this paper, we present a two-stage classifier based on RepTree algorithm and protocols subset for network intrusion detection system. To evaluate the performance of our approach, we used the UNSW-NB15 data set and the NSL-KDD data set. In first phase our approach divides the incoming network traffics into three… Read full abstract & cite →

Intrusion detection REPTree UNSW-NB15 NSLKDD
52

Comprehensive Understanding of Intelligent User Interfaces

Author 1: Sarang Shaikh Author 2: M. Ajmal Sawand Author 3: Najeed Ahmed Khan Author 4: Farhan Badar Solangi

This paper represents basic discussion for one of the latest advances in the technology, known as Intelligent User Interface (IIUI) which is a combination of two major fields of computer science, namely, HCI & Artificial Intelligence. The paper first discusses basic definitions, motivation to this research and UIMS (User Interface… Read full abstract & cite →

Intelligent user interfaces HCI artificial intelligence IIUI
53

A Review of Bluetooth based Scatternet for Mobile Ad hoc Networks

Author 1: Khizra Asaf Author 2: Muhammad Umer Sarwar Author 3: Muhammad Kashif Hanif Author 4: Ramzan Talib Author 5: Irfan Khan

Bluetooth based networking is an emerging and promising technology that takes small area networking to an enhanced and better level of communication. Bluetooth specification supports piconet formation. However, scatternet formation remains open. The primary challenge faced for scatternet formation is the interconnection of piconets. This paper presents a review of… Read full abstract & cite →

Bluetooth ad hoc network piconet scatternet MANET
54

Data Provenance for Cloud Computing using Watermark

Author 1: Muhammad Umer Sarwar Author 2: Muhammad Kashif Hanif Author 3: Ramzan Talib Author 4: Bilal Sarwar Author 5: Waqar Hussain

The term data is new oil which has become a proverb due to large amount of data generation from various sources. Processing and storing such tremendous amount of data is beyond the capabilities of traditional computing system. Cloud computing preferably considered next-generation architecture due to dynamic resource pools, low cost… Read full abstract & cite →

Cloud computing data provenance watermark security visible watermark invisible watermark
55

On FPGA Implementation of a Continuous-Discrete Time Observer for Sensorless Induction Machine using Simulink HDL Coder

Author 1: Moez Besbes Author 2: Salim Hadj Sad Author 3: Faouzi M’Sahli Author 4: Monther Farza

This paper deals with the design of a continuousdiscrete time high gain observer (CDHGO) for sensorless control of an induction machine (IM). Only two weakly sampled stator current measurements are used to achieve a real-time estimation of the rotor flux, the mechanical speed and the load torque. The feasibility of… Read full abstract & cite →

Hig gain observer FPGA HDL coder
56

A Feature Selection Algorithm based on Mutual Information using Local Non-uniformity Correction Estimator

Author 1: Ahmed I. Sharaf Author 2: Mohamed Abu El-Soud Author 3: Ibrahim El-Henawy

Feature subset selection is an effective approach used to select a compact subset of features from the original set. This approach is used to remove irrelevant and redundant features from datasets. In this paper, a novel algorithm is proposed to select the best subset of features based on mutual information… Read full abstract & cite →

Feature subset selection irrelevant features mutual information local non-uniformity correction
57

Sentiment Analysis Using Deep Learning Techniques: A Review

Author 1: Qurat Tul Ain Author 2: Mubashir Ali Author 3: Amna Riaz Author 4: Amna Noureen Author 5: Muhammad Kamran Author 6: Babar Hayat Author 7: A. Rehman

The World Wide Web such as social networks, forums, review sites and blogs generate enormous heaps of data in the form of users views, emotions, opinions and arguments about different social events, products, brands, and politics. Sentiments of users that are expressed on the web has great influence on the… Read full abstract & cite →

Sentiment analysis recurrent neural network deep neural network convolutional neural network recursive neural network deep belief network
58

Cloud Computing: Pricing Model

Author 1: Aferdita Ibrahimi

Cloud computing is the elemental aspect for online security of computing resources. It helps on-demand dividing of resources and cost between a major number of end users. It provides end users to process, manage, and store data so fast with reasonable prices. This is significant to know the causes of… Read full abstract & cite →

Component Cloud Computing pricing model comparison of pricing model Google Cloud platform and Amazon Web Service pricing model
59

Cryptography: A Comparative Analysis for Modern Techniques

Author 1: Faiqa Maqsood Author 2: Muhammad Ahmed Author 3: Muhammad Mumtaz Ali Author 4: Munam Ali Shah

Cryptography plays a vital role for ensuring secure communication between multiple entities. In many contemporary studies, researchers contributed towards identifying best cryptography mechanisms in terms of their performance results. Selection of cryptographic technique according to a particular context is a big question; to answer this question, many existing studies have… Read full abstract & cite →

Cryptography symmetric asymmetric encryption decryption
60

Facial Expression Recognition using Hybrid Texture Features based Ensemble Classifier

Author 1: M. Arfan Jaffar

Communication is fundamental to humans. In the literature, it has been shown through many scientific research studies that human communication ranges from 54 to 94 percent is non-verbal. Facial expressions are the most of the important part of the non-verbal communication and it is the most promising way for people… Read full abstract & cite →

Expression classification ensemble adaboost facial features
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Web Service for Incremental and Automatic Data Warehouses Fragmentation

Author 1: Ettaoufik Abdelaziz Author 2: Mohammed Ouzzif

The data warehouses (DW) are proposed to collect and store heterogeneous and bulky data. They represent a collection of thematic, integrated, non-volatile and histories data. They are fed from different data sources through transactional queries and offer analytical data through decisional queries. Generally, the decisional queries execution cost on large… Read full abstract & cite →

Data warehouse horizontal fragmentation incremental fragmentation frequent queries web service
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Cost Optimization of Replicas in Tree Network of Data Grid with QoS and Bandwidth Constraints

Author 1: Alireza Chamkoori Author 2: Farnoosh Heidari Author 3: Naser Parhizgar

Data Grid provides resources for data-intensive scientific applications that need to access a huge amount of data around the world. Since data grid is built on a wide-area network, its latency prohibits efficient access to data. This latency can be decreased by data replication in the vicinity of users who… Read full abstract & cite →

Hierarchical data grid replication cost replica optimal placement communication cost storage cost cost minimization QoS and bandwidth constraints

Important Dates

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