IJACSA Vol. 11 Issue 7 (2020)

1

Dependency Evaluation and Visualization Tool for Systems Represented by a Directed Acyclic Graph

Author 1: Sobitha Samaranayake Author 2: Athula Gunawardena

There is a dearth of data visualization tools for displaying college degree-planning information, especially course prerequisite and complex academic requirement information. The existing methods for exploring degree plans involve a painstaking what-if analysis of static data presented in a convoluted format. In this paper, we present a data visualization tool… Read full abstract & cite →

Data visualization degree planning dynamic flowchart prerequisite structure adjacency matrix

Abstract doi.org/10.14569/IJACSA.2020.0110701 PDF

2

“Dr.J”: An Artificial Intelligence Powered Ultrasonography Breast Cancer Preliminary Screening Solution

Author 1: Zhenzhong Zhou Author 2: Xueqin Xie Author 3: Alex L. Zhou Author 4: Zongjin Yang Author 5: Muhammad Nabeel Author 6: Yongjie Deng Author 7: Zhongxiong Feng Author 8: Xiaoling Zheng Author 9: Zhiwen Fang

Breast cancer ranks top incidence rate among all malignant tumors for women, globally. Early detection through regular preliminary screening is critical to decreasing the breast cancer’s fatality rate. However, the promotion of preliminary screening faces major limitations of human diagnosis capacity, cost, and technical reliability in China and most of… Read full abstract & cite →

Breast cancer preliminary screening lesions detection ultrasonography artificial intelligence deep learning cloud computing BI-RADS

Abstract doi.org/10.14569/IJACSA.2020.0110702 PDF

3

Porting X Windows System to Operating System Compliant with Portable Operating System Interface

Author 1: Andrey V Zhadchenko Author 2: Kirill A. Mamrosenko Author 3: Alexander M. Giatsintov

Now-a-days graphical interface is very important for any operating system, even the embedded ones. Adopting existing solutions will be much easier than developing your own. Moreover, a lot of software may be reused in this case. This article is devoted to X Window System adaptation for Portable Operating System Interface… Read full abstract & cite →

X Window System X11 X.Org Server Xorg XFree86 Portable Operating System Interface (POSIX) graphics Realtime Operating System (RTOS)

Abstract doi.org/10.14569/IJACSA.2020.0110703 PDF

4

Developing Web-based Support Systems for Predicting Poor-performing Students using Educational Data Mining Techniques

Author 1: Phauk Sokkhey Author 2: Takeo Okazaki

The primary goal of educational systems is to enrich the quality of education by maximizing the best results and minimizing the failure rate of poor-performing students. Early predicting student performance has become a challenging task for the improvement and development of academic performance. Educational data mining is an effective discipline… Read full abstract & cite →

Academic performance prediction systems educational data mining dominant factors feature selection methods prediction models student performance

Abstract doi.org/10.14569/IJACSA.2020.0110704 PDF

5

Network Reconfiguration for Minimizing Power Loss by Moth Swarm Algorithm

Author 1: Thuan Thanh Nguyen Author 2: Duong Thanh Long

This paper presents a network reconfiguration approach for minimizing power loss of the distribution system based on moth swarm algorithm (MSA). The MSA is a recent metaheuristic inspired from the navigational technique of moths in the dark for finding food sources. For searching optimal solution, MSA used three different mechanisms… Read full abstract & cite →

Network reconfiguration moth swarm algorithm power loss particle swarm optimization distribution system

Abstract doi.org/10.14569/IJACSA.2020.0110705 PDF

6

Reduction of the Humidity Contained in the Harvest Cereals by the Means of in High Frequency Electromagnetic Field Processing

Author 1: Cornelia Emilia Gordan Author 2: Ioan Mircea Gordan Author 3: Vasile Darie ?oproni Author 4: Carmen Otilia Molnar Author 5: Mircea Nicolae Arion Author 6: Francisc Ioan Hathazi

The new environmental friendly microwave technologies represents an important concern in the environmental policies. The use of microwave energy for the processing of different agricultural products presents the advantage of a green technology which allow a uniform distribution of electromagnetic and thermal field with a short relatively time of the… Read full abstract & cite →

High frequency electromagnetic field numerical simulation microwave processing oat drying agricultural seeds

Abstract doi.org/10.14569/IJACSA.2020.0110706 PDF

7

Optimization of Production Processes using BPMN and ArchiMate

Author 1: Hana Tomaskova

This article aims to map and optimize production processes through the graphical form using syntax combination of BPMN and ArchiMate. In the first phase, the existing business processes of the manufacturing company in the Czech Republic were analyzed. In the second phase, the optimization of produc-tion processes was subsequently proposed… Read full abstract & cite →

Production processes graphic modelling BPMN ArchiMate

Abstract doi.org/10.14569/IJACSA.2020.0110707 PDF

8

Cluster based Detection and Reduction Techniques to Identify Wormhole Attacks in Underwater Wireless Sensor Networks

Author 1: Tejaswini R Murgod Author 2: S Meenakshi Sundaram

Underwater Wireless Sensor Networks (UWSN) is widely used in variety of applications but none of the applications have taken network security into considerations. Deployment of underwater network is a challenging task and because of the hash underwater environment, the network is vulnerable to large class of security attacks. Recent research… Read full abstract & cite →

Underwater communication wormhole attack round trip time EEHRCP

Abstract doi.org/10.14569/IJACSA.2020.0110708 PDF

9

Effect of Multi-Frequency Beam Alignment on Non-Line-of-Site Vehicle to Infrastructure Communication using CI Model (CI-NLOS-V2I)

Author 1: Mahmoud Zaki Iskandarani

Investigation of the effect of beam alignment for milimeter wave (mmWave) transmission in the case of Vehicle-to-Infrastructure communication (V2I) is carried out. The investigation covered varying transmission-reception (TX-RX) distances. The effect of carrier frequency variation using different antenna angles and gains is also analyzed. The results showed convergence of path… Read full abstract & cite →

Intelligent transportation systems autonomous vehicles connected vehicles mmWave channel model path loss CI Model NLOS V2I V2V

Abstract doi.org/10.14569/IJACSA.2020.0110709 PDF

10

A Cyber-Physical Approach to Resilience and Robustness by Design

Author 1: Giovanni Di Orio Author 2: Guilherme Brito Author 3: Pedro Malo Author 4: Abhinav Sadu Author 5: Nikolaus Wirtz Author 6: Antonello Monti

Modern critical infrastructures (e.g. Critical Energy Infrastructures) are increasingly evolving into complex and distributed networks of Cyber-Physical Systems. Although the cyber systems provide great flexibility in the operation of critical infrastructure, it also introduces additional security threats that need to be properly addressed during the design and development phase. In… Read full abstract & cite →

Double virtualization critical energy infrastructures cyber-physical systems resilience

Abstract doi.org/10.14569/IJACSA.2020.0110710 PDF

11

Text Messages: A Computer-Mediated Discourse Analysis

Author 1: Waheed M. A. Altohami

This study explores the discourse of text messages from a microlinguistic perspective by means of concordance analysis. It aims at sorting the dominant phonological, lexical and grammatical features that mark texting as a peculiar asynchronous mode of computer-mediated communication. Also, it investigates how technology reshapes texters’ linguistic habits as long… Read full abstract & cite →

Text messages computer-mediated communication discourse technological affordances

Abstract doi.org/10.14569/IJACSA.2020.0110711 PDF

12

Flood Damage Area Detection Method by Means of Coherency Derived from Interferometric SAR Analysis with Sentinel-A SAR

Author 1: Kohei Arai Author 2: Hiroshi Okumura Author 3: Shogo Kajiki

Flood damage area detection method by means of coherency derived from interferometric SAR analysis with Sentinel-A SAR is proposed. One of the key issues for flooding area detection is to estimate it as soon as possible. The flooding area due to heavy rain, typhoon, severe storm, however, is usually covered… Read full abstract & cite →

Flooding area detection Synthetic Aperture Radar: SAR interferometric SAR analysis coherency back scattering cross section remote sensing satellite

Abstract doi.org/10.14569/IJACSA.2020.0110712 PDF

13

Barley Quality Estimation Method with UAV Mounted NIR Camera Data based on Regressive Analysis

Author 1: Kohei Arai Author 2: Eisuke Kisu Author 3: Kazuhiro Nagafuchi

Barley quality estimation method with Unmanned Aerial Vehicle: UAV based Near Infrared: NIR camera data based on regressive analysis is proposed. The proposed method allows to predict barley quality, anthocyanin, β-glucan and water contents in the harvested “Daishimochi” of barley grains before the harvest. The prediction method proposed here is… Read full abstract & cite →

Unmanned Aerial Vehicle: UAV Near Infrared: NIR camera Daishimochi anthocyanin ß-glucan and water contents barley quality

Abstract doi.org/10.14569/IJACSA.2020.0110713 PDF

14

Enterprise Architecture “As-Is” Analysis for Competitive Advantage

Author 1: Eithar Mohamed Mahmoud Nasef Author 2: Nur Azaliah Abu Bakar

In the telecommunication market, it is essential to ensure that the infrastructure and resources of the internet service provider can adapt and grow. In contrast, provide the best quality of data services and offering the best packages for their customers. It is essential to ensure that an internet service provider… Read full abstract & cite →

Enterprise architecture internet service provider competitive advantage “As-Is” analysis

Abstract doi.org/10.14569/IJACSA.2020.0110714 PDF

15

A Novel ASCII Code-based Polybius Square Alphabet Sequencer as Enhanced Cryptographic Cipher for Cyber Security Protection (APSAlpS-3CS)

Author 1: Jan Carlo T. Arroyo Author 2: Ariel Roy L. Reyes Author 3: Allemar Jhone P. Delima

For all industries, cybersecurity is regarded as one of the major areas of concern that needs to be addressed. Data and information in all forms should be safeguarded to avoid leakage of information, data theft, and robbery through intruders and hackers. This paper proposes a modification on the traditional 5x5… Read full abstract & cite →

Cryptography ciphers ciphertext modified polybius cipher plaintext

Abstract doi.org/10.14569/IJACSA.2020.0110715 PDF

16

An Efficient Convolutional Neural Network for Paddy Leaf Disease and Pest Classification

Author 1: Norhalina Senan Author 2: Muhammad Aamir Author 3: Rosziati Ibrahim Author 4: N. S. A. M Taujuddin Author 5: W.H.N Wan Muda

Improving the quality and quantity of paddy production is very important since rice is the most consumed staple food for billion people around the world. Early detection of the paddy diseases and pests at different stages of growth is very crucial in paddy production. However, the current manual method in… Read full abstract & cite →

Convolutional neural network image classification paddy classification paddy disease and pest

Abstract doi.org/10.14569/IJACSA.2020.0110716 PDF

17

Enhancement of Two-Tier ATM Security Mechanism: Towards Providing a Real-Time Solution for Network Issues

Author 1: Syed Anas Ansar Author 2: Satish Kumar Author 3: Mohd. Waris Khan Author 4: Amitabha Yadav Author 5: Raees Ahmad Khan

In the current scenario, the crime rate has tremendously increased with respect to the Automatic Teller Machine (ATM). During the last few years, criminals are becoming more sophisticated and paid more attention to ATMs. The majority of ATMs in India are working on a single authentication technique. The attacks, such… Read full abstract & cite →

ATM-fraud security: Unique Identifier (UID) shoulder surfing shimming trapping

Abstract doi.org/10.14569/IJACSA.2020.0110717 PDF

18

A Novel Pre-Class Learning Content Approach for the Implementation of Flipped Classrooms

Author 1: Soly Mathew Biju Author 2: Ayodeji Olalekan Salau Author 3: Joy Nnenna Eneh Author 4: Vincent Egoigwe Sochima Author 5: Izuchukwu ThankGod Ozue

The nascent recognition of computing in curriculum across countries is also accompanied by several pedagogic inefficiencies especially concerning insufficient time available for teacher-student interaction. In this paper, a flipped classroom concept was identified as an effective approach to teaching students at various levels in the academia including Higher Education. Preparing… Read full abstract & cite →

Flipped classroom active learning online videos student-centered approach increased interaction pre-class content

Abstract doi.org/10.14569/IJACSA.2020.0110718 PDF

19

Handwriting Recognition using Artificial Intelligence Neural Network and Image Processing

Author 1: Sara Aqab Author 2: Muhammad Usman Tariq

Due to increased usage of digital technologies in all sectors and in almost all day to day activities to store and pass information, Handwriting character recognition has become a popular subject of research. Handwriting remains relevant, but people still want to have Handwriting copies converted into electronic copies that can… Read full abstract & cite →

Support vector machine neural network artificial intelligence handwriting processing

Abstract doi.org/10.14569/IJACSA.2020.0110719 PDF

20

Tai Chi Care: An Exergaming Software using Microsoft Kinect V2 for Blind or Low Vision Person during Confinement

Author 1: Marwa Bouri Author 2: Ali Khalfallah Author 3: Med Salim Bouhlel

Blind or low vision people need to practice activities for their mental and physical health to minimize the risk of suffering from articulation pain but they have problems due to difficulties and inaccessibility of displacement especially during the COVID-19 pandemic where everyone in this world was asked to stay at… Read full abstract & cite →

Tai Chi COVID-19 visual impaired physical exercise exergaming audio feedback Kinect body tracking

Abstract doi.org/10.14569/IJACSA.2020.0110720 PDF

21

Optimized Machine Learning based Classifications of Staging in Gynecological Cancers using Feature Subset through Fused Feature Selection Process

Author 1: B Nithya Author 2: V Ilango

After diagnosing the cancer, the next step is to identify the staging of the cancer to start with the appropriate treatment plans. There are different kinds of gynaecological cancers and this research lays emphasis on cervical and ovarian cancer types with their staging classifications. The cervical and ovarian cancers data… Read full abstract & cite →

Ovarian cancer cervical cancer diagnosis gynaecological cancers staging feature selection machine learning classification

Abstract doi.org/10.14569/IJACSA.2020.0110721 PDF

22

A Systematic Review on Practical Considerations, Recent Advances and Research Challenges in Underwater Optical Wireless Communication

Author 1: Syed Agha Hassnain Mohsan Author 2: Md. Mehedi Hasan Author 3: Alireza Mazinani Author 4: Muhammad Abubakar Sadiq Author 5: Muhammad Hammad Akhtar Author 6: Asad Islam Author 7: Laraba Selsabil Rokia

Underwater Optical Wireless Communication (UOWC) has gained significant attraction in many underwater activities because of its high bandwidth as compared to radio frequency and acoustic technologies. Underwater Optical Wireless Communication (UOWC) has high stature in underwater observation, exploration and monitoring applications. However, due to complex nature of ocean water, several… Read full abstract & cite →

Component underwater optical wireless communication underwater technologies research questions 5G/6G

Abstract doi.org/10.14569/IJACSA.2020.0110722 PDF

23

Predicting Cervical Cancer using Machine Learning Methods

Author 1: Riham Alsmariy Author 2: Graham Healy Author 3: Hoda Abdelhafez

In almost all countries, precautionary measures are less expensive than medical treatment. The early detection of any disease gives a patient better chances of successful treatment than disease discovery at an advanced stage of its development. If we do not know how to treat patients, any treatment we can provide… Read full abstract & cite →

Cervical cancer machine learning voting method risk factors SMOTE PCA

Abstract doi.org/10.14569/IJACSA.2020.0110723 PDF

24

Students’ Perception of the Effect of Cognitive Factors in Determining Success in Computer Programming: A Case Study

Author 1: Jotham Msane Author 2: Bethel Mutanga Murimo Author 3: Tarirai Chani

The reliance on science and technology by both countries and corporate entities is increasingly evident as the evolving trend of digitization not only pervades every facet of life but also assumes a dominant role. Correspondingly, the significance of producing competent computer science and information technology (IT) graduates becomes highly imperative… Read full abstract & cite →

Cognitive factors performance programming self-efficacy

Abstract doi.org/10.14569/IJACSA.2020.0110724 PDF

25

Malware Analysis in Web Application Security: An Investigation and Suggestion

Author 1: Abhishek Kumar Pandey Author 2: Fawaz Alsolami

Malware analysis is essentially used for the identification of malware and its objectives. However, the present era has seen the process of malware analysis being used for enhancing security methods for different domains of technology. This study has attempted to analyze the current situation and status of malware analysis in… Read full abstract & cite →

Malware analysis web application application security fuzzy-AHP forecasting

Abstract doi.org/10.14569/IJACSA.2020.0110725 PDF

26

Lightweight Security Mechanism over MQTT Protocol for IoT Devices

Author 1: Sanaz Amanlou Author 2: Khairul Azmi Abu Bakar

Security is one of the main concerns with regard to the Internet of Things (IoT) networks. Since most IoT devices are restricted in resource and power consumption, it is not easy to implement robust security mechanisms. There are different methods to secure network communications; however, they are not applicable to… Read full abstract & cite →

Internet of Things (IoT) MQTT Pre-Shared Keys (PSK) elliptic curve cryptography Diffie-Hellman Ephemeral (DHE) Digital Signature Algorithm (DSA) Perfect Forward Secrecy (PFS) authentication power consumption wireless sensors

Abstract doi.org/10.14569/IJACSA.2020.0110726 PDF

27

Factors Affecting SME Owners in Adopting ICT in Business using Thematic Analysis

Author 1: Anis Nur Assila Rozmi Author 2: Puteri N.E. Nohuddin Author 3: Abdul Razak Abdul Hadi Author 4: Mohd Izhar A. Bakar Author 5: A. Imran Nordin

In Malaysia, Small Medium Enterprise (SME) has become the main contributor for the income generation and employment thus are expected to increase country’s GDP growth. Hence, it is important for the SME owners to ensure the sustainability of their business in today’s business settings that has moved to digital businesses… Read full abstract & cite →

Small Medium Enterprise (SME) Information and Communications Technology (ICT) thematic analysis internal factors external factor

Abstract doi.org/10.14569/IJACSA.2020.0110727 PDF

28

Emotional Impact for Predicting Student Performance in Intelligent Tutoring Systems (ITS)

Author 1: Kouame Abel Assielou Author 2: Cissé Théodore Haba Author 3: Bi Tra Gooré Author 4: Tanon Lambert Kadjo Author 5: Kouakou Daniel Yao

Current Intelligent Tutoring Systems (ITS) provide better recommendations for students to improve their learning. These recommendations mainly involve students’ performance prediction, which remains problematic for ITS, despite the significant improvements made by prediction methods such as Matrix Factorization (MF). The present contribution therefore aims to provide a solution to this… Read full abstract & cite →

Intelligent tutoring system student performance prediction matrix factorization emotional impact achievement emotions

Abstract doi.org/10.14569/IJACSA.2020.0110728 PDF

29

Applying Aspect Oriented Programming in Distributed Application Engineering

Author 1: Fatiha Khalifa Author 2: Samira Chouraqui

Aspect-oriented programming is an emerging programming paradigm that stretches during the development phases in different domains. Many researchers have focused on the use of this paradigm in web service composition in different research axis. However, none of them use together aspect-oriented programming and design by contract to deal with the… Read full abstract & cite →

Aspect oriented programming design by contract web service composition parameters adaptation

Abstract doi.org/10.14569/IJACSA.2020.0110729 PDF

30

Object Detection using Template and HOG Feature Matching

Author 1: Marjia Sultana Author 2: Tasniya Ahmed Author 3: Partha Chakraborty Author 4: Mahmuda Khatun Author 5: Md. Rakib Hasan Author 6: Mohammad Shorif Uddin

In the present era, the applications of computer vision is increasing day by day. Computer vision is related to the automatic recognition, exploration and extraction of the necessary information from a particular image or a group of image sets. This paper addresses the method to detect the desired object from… Read full abstract & cite →

Computer vision template matching HOG feature extraction

Abstract doi.org/10.14569/IJACSA.2020.0110730 PDF

31

A Compact Broadband and High Gain Tapered Slot Antenna with Stripline Feeding Network for H, X, Ku and K Band Applications

Author 1: Permanand Soothar Author 2: Hao Wang Author 3: Chunyan Xu Author 4: Zaheer Ahmed Dayo Author 5: Badar Muneer Author 6: Kelash Kanwar

In this paper, a planar travelling wave tapered slot antenna with compact size is proposed for wireless communication applications. The prototype of antenna is developed on Roger RT/Duroid 5880 laminate with tan δ = 0.0009, a relative permittivity of 2.2 while working in the range of 6GHz – 21GHz. The… Read full abstract & cite →

Tapered slot antenna (TSA) compact radial cavity broadband impedance bandwidth peak realized gain etched slots

Abstract doi.org/10.14569/IJACSA.2020.0110731 PDF

32

QUES: A Quality Estimation System of Arabic to English Translation

Author 1: Manar Salamah Ali Author 2: Anfal Alatawi Author 3: Bayader Alsahafi Author 4: Najwa Noorwali

Estimating translation quality is a problem of growing importance as it has many potential applications. The quality of translation from Arabic to English is especially difficult to evaluate due to the languages being distant languages: different in syntax and low in lexical similarity. We propose a feature-based framework for estimating… Read full abstract & cite →

Translation quality estimation translation adequacy translation fluency supervised machine learning

Abstract doi.org/10.14569/IJACSA.2020.0110732 PDF

33

Classification of Freshwater Zooplankton by Pre-trained Convolutional Neural Network in Underwater Microscopy

Author 1: Song Hong Author 2: Syed Raza Mehdi Author 3: Hui Huang Author 4: Kamran Shahani Author 5: Yangfang Zhang Author 6: Junaidullah Author 7: Kazim Raza Author 8: Mushtaq Ali Khan

Zooplankton is enormously diverse and fundamental group of microorganisms that exists in almost every freshwater body, determining its ecology and play a vital role in food chain. Considering the significance of zooplankton, the study of freshwater zooplankton is very essential which intensely relies on the classification of images. However, the… Read full abstract & cite →

AlexNet automatic image classification Convolutional Neural Networks (CNN) freshwater zooplankton transfer learning underwater microscope

Abstract doi.org/10.14569/IJACSA.2020.0110733 PDF

34

An Efficient Binary Clonal Selection Algorithm with Optimum Path Forest for Feature Selection

Author 1: Emad Nabil Author 2: Safinaz Abdel-Fattah Sayed Author 3: Hala Abdel Hameed

Feature selection is an important step in different applications such as data mining, classification, pattern recognition, and optimization. Until now, finding the most informative set of features among a large dataset is still an open problem. In computer science, a lot of metaphors are imported from nature and biology and… Read full abstract & cite →

Feature selection artificial immune system clonal selection algorithm optimization optimum path forest

Abstract doi.org/10.14569/IJACSA.2020.0110734 PDF

35

A Machine Learning Approach for Recognizing the Holy Quran Reciter

Author 1: Jawad H Alkhateeb

Mainly, the holy Quran is the holy book for all Muslims. Reading the holy Quran is a special reading with rules. Reading the Holy Quran is called recitation. One of the Muslim essential activities is reading or listening to the Holy Quran. In this paper, a machine learning approach for… Read full abstract & cite →

Holy Quran audio analysis MFCC KNN ANN Machine learning

Abstract doi.org/10.14569/IJACSA.2020.0110735 PDF

36

Modeling and Performance Analysis of an Adaptive PID Speed Controller for the BLDC Motor

Author 1: Md Mahmud Author 2: S. M. A. Motakabber Author 3: A. H. M. Zahirul Alam Author 4: Anis Nurashikin Nordin Author 5: A. K.M. Ahasan Habib

Brushless Direct Current (BLDC) motor is the most popular useable motor for automation and industry. For good performance of the BLDC motor hunger driving circuit but the driving circuit is costly, complex control mechanism, various parameter dependency and low torque. The Proportional Integral (PI), Proportional Integral Derivative (PID), fuzzy logic… Read full abstract & cite →

QFT PWM BLDC motor PID controller adaptive adaptive PID controller APIDC

Abstract doi.org/10.14569/IJACSA.2020.0110736 PDF

37

Fast Side Information Generation for High-Resolution Videos in Distributed Video Coding Applications

Author 1: Shahzad Khursheed Author 2: Nasreen Badruddin Author 3: Varun Jeoti Author 4: Manzoor Ahmed Hashmani

Distributed video coding (DVC) is an attractive and promising scheme that suits the constrained video applications, such as wireless sensor networks or wireless surveillance systems. In DVC, estimation of fast and consistent side information (Տį) is a critical issue for instant and real-time decoding. This issue becomes even more serious… Read full abstract & cite →

Fast side information algorithm phase-based interpolation (Phase-I) DVC DVC decoder for high-resolution videos real-time DVC decoding real-time side information

Abstract doi.org/10.14569/IJACSA.2020.0110737 PDF

38

Level of Depression in Tuberculosis Patients of Los Olivos Health Centers

Author 1: Katherine Trinidad-Carrillo Author 2: Ruth Santana-Cercado Author 3: Katherine Castillo-Nanez Author 4: Brian Meneses-Claudio Author 5: Hernan Matta-Solis

Tuberculosis is a contagious infectious disease, caused by Mycobacterium Tuberculosis, transmitted through its release into the air when a sick person coughs, sneezes or talks, so it can be inhaled by another person and infect it, it is necessary for patients to adopt family, work and social distancing to avoid… Read full abstract & cite →

Tuberculosis depression patient health questionnaire 9 health centers tuberculosis lifestyle

Abstract doi.org/10.14569/IJACSA.2020.0110738 PDF

39

How Entrepreneurs Utilize Accelerators: A Demographic Factor Analysis in Turkey using Regression

Author 1: Ceren Cubukcu Author 2: Sevinc Gulsecen

This study examines entrepreneurs participating into eight accelerator programs located in Istanbul, Turkey. Business accelerators are a new kind of incubation program built in particular to help technology entrepreneurs and assist them reach to the next level. In total eight accelerator programs are researched in this study. A survey is… Read full abstract & cite →

Accelerators e-business startups regression

Abstract doi.org/10.14569/IJACSA.2020.0110739 PDF

40

Learning Analytics Tool Adoption by University Students

Author 1: Seren Basaran Author 2: Ahmed Mohamed Daganni

Learning analytics refers to a systematic process involving measuring, collecting, analyzing and reporting data about learners with the aim of fully understanding how best learning environments can be optimized to increase efficiency. The aim of this study is to understand the factors contributing to the learning analytics adoption by university… Read full abstract & cite →

Higher education learning analytics learning tools North Cyprus students technology

Abstract doi.org/10.14569/IJACSA.2020.0110740 PDF

41

Effective Voice Frame Shrinking Method to Enhance VoIP Bandwidth Exploitation

Author 1: Qusai Shambour Author 2: Sumaya N. Alkhatib Author 3: Mosleh M. Abualhaj Author 4: Yousef Alrabanah

The traditional telecommunication system (e.g. landline telephone system) are increasingly being replaced by Voice over Internet Protocol (VoIP) systems because of the very low or free rate. However, one of the main handicaps of VoIP adoption is the inefficient bandwidth exploitation issue. A key approach to handle this issue is… Read full abstract & cite →

VoIP VoIP protocols ITTP protocol payload compression bandwidth exploitation

Abstract doi.org/10.14569/IJACSA.2020.0110741 PDF

42

Development and Analysis of a Zeta Method for Low-Cost, Camera-based Iris Recognition

Author 1: Eko Ihsanto Author 2: Jeffry Kurniawan Author 3: Diyanatul Husna Author 4: Alfan Presekal Author 5: Kalamullah Ramli

Iris recognition is an alternative authentication method. Many studies have tried to improve iris recognition as a biometric-based alternative for secure authentication. Iris segmentation is an important part of iris recognition because it defines the image region that is used for subsequent processing such as feature extraction and matching, hence… Read full abstract & cite →

Iris recognition iris segmentation Zeta authentication biometric pattern recognition

Abstract doi.org/10.14569/IJACSA.2020.0110742 PDF

43

Virtual Machine Escape in Cloud Computing Services

Author 1: Hesham Abusaimeh

It’s of axioms; every progress that is devised in the field of facilitating daily life through technology is matched by many complications in terms of the methods that led to the creation of these inventions and how to maintain their sustainability, consistency, and development. In digital world that became not… Read full abstract & cite →

Cloud computing virtual machine escape cloud security impact of VM escape VM escape counter measures VM escape nature

Abstract doi.org/10.14569/IJACSA.2020.0110743 PDF

44

The Language of Persuasion in Courtroom Discourse: A Computer-Aided Text Analysis

Author 1: Bader Nasser Aldosari Author 2: Ayman F. Khafaga

This paper uses a Computer-Aided Text Analysis (CATA) and a Critical Discourse Analysis (CDA) to investigate the language of persuasion in courtroom discourse. More specifically, the paper tries to explore the extent to which a computer-aided text analysis contributes to decoding the various persuasive strategies employed to control, defend or… Read full abstract & cite →

Computer-aided text analysis legal discourse persuasion critical discourse analysis power control

Abstract doi.org/10.14569/IJACSA.2020.0110744 PDF

45

Differential Evolution-based Approach for Tone-Mapping of High Dynamic Range Images

Author 1: Ahmed Almaghthawi Author 2: Farid Bourennani Author 3: Ishtiaq Rasool Khan

Recently, high dynamic range (HDR) imaging has received significant attention from research community as well as the industrial companies due to valuable applications of HDR images in better visualization and analysis. However, HDR images need to be converted to low dynamic range (LDR) images for viewing on standard LDR display… Read full abstract & cite →

HDR image LDR image metaheuritics differential evolution tone-mapping histogram

Abstract doi.org/10.14569/IJACSA.2020.0110745 PDF

46

Self Organising Fuzzy Logic Classifier for Predicting Type-2 Diabetes Mellitus using ACO-ANN

Author 1: Ratna Patil Author 2: Sharvari Tamane Author 3: Kanishk Patil

In today’s digital world, a dataset with large number of attributes has a curse of dimensionality where the computation time grows exponentially with the number of dimensions. To overcome the problem of computation time and space, appropriate method of feature selection can be developed using metaheuristic approaches. The aim of… Read full abstract & cite →

Ant colony optimization feature selection fuzzy logic classifier self organizing type-2 diabetes mellitus

Abstract doi.org/10.14569/IJACSA.2020.0110746 PDF

47

Modeling of a Tourism Group Decision Support System using Risk Analysis based Knowledge Base

Author 1: Putu Sugiartawan Author 2: Sri Hartati Author 3: Aina Musdholifah

The increasing number of tourist destination becomes the main factor for export earning, job vacancy, business development, and infrastructure. The problem that occurs is the difference in regional income (GDP) that is quite significant in each region. Thus, it is necessary for the government to make a decision or policy… Read full abstract & cite →

GDSS modeling risk analysis tourism site knowledge base Bali tourism

Abstract doi.org/10.14569/IJACSA.2020.0110747 PDF

48

A Hybrid Document Features Extraction with Clustering based Classification Framework on Large Document Sets

Author 1: S Anjali Devi Author 2: S Siva Kumar

As the size of the document collections are increasing day-by-day, finding an essential document clusters for classification problem is one of the major problem due to high inter and intra document variations. Also, most of the conventional classification models such as SVM, neural network and Bayesian models have high true… Read full abstract & cite →

Classification document feature extraction document similarity

Abstract doi.org/10.14569/IJACSA.2020.0110748 PDF

49

Super-Resolution using Deep Learning to Support Person Identification in Surveillance Video

Author 1: Lamya Alkanhal Author 2: Deena Alotaibi Author 3: Nada Albrahim Author 4: Sara Alrayes Author 5: Ghaida Alshemali Author 6: Ouiem Bchir

Recently, video surveillance systems have been perceived as important technical tools that play a fundamental role in protecting people and assets. In particular, the recorded surveillance video sequences are used as evidence to solve violation, theft and criminal cases. Therefore, the identification of the person present on the crime scene… Read full abstract & cite →

Deep learning image processing super-resolution surveillance video

Abstract doi.org/10.14569/IJACSA.2020.0110749 PDF

50

A Method for Predicting Human Walking Patterns using Smartphone’s Accelerometer Sensor

Author 1: Zaid T. Alhalhouli

Recently, the techniques for monitoring and recognizing human walking patterns have become one of the most important research topics, especially in health applications related to fitness and disease progression. This paper aims at combining machine learning techniques with Smartphone sensors readings (i.e. accelerometer sensor) in order to develop a smart… Read full abstract & cite →

Smartphone’s accelerometer sensor walking patterns machine learning classifiers

Abstract doi.org/10.14569/IJACSA.2020.0110750 PDF

51

Household Overspending Model Amongst B40, M40 and T20 using Classification Algorithm

Author 1: Zulaiha Ali Othman Author 2: Azuraliza Abu Bakar Author 3: Nor Samsiah Sani Author 4: Jamaludin Sallim

The family economy is a critical indicator of the well-being of a family institution. It can be seen by the total income and how well the household finances is managed. In Malaysia, the household income level is categorized as B40, M40 and T20. These categories can also indicate the poverty… Read full abstract & cite →

Overspending classification poverty household

Abstract doi.org/10.14569/IJACSA.2020.0110751 PDF

52

A Hybrid Recommender System to Enrollment for Elective Subjects in Engineering Students using Classification Algorithms

Author 1: Jerson Erick Herrera Rivera

One of the main problems that engineering university students face is making the correct decision regarding the lines of elective subjects to enroll based on available information (preferences, syllabus, schedules, subject content, possible academic performance, teacher, curriculum, and others). Under these circumstances, this research work seeks to develop a Hybrid… Read full abstract & cite →

Hybrid recommender system academic performance term frequency inverse term frequency natural language processing k-NN XGBoost MAP-k

Abstract doi.org/10.14569/IJACSA.2020.0110752 PDF

53

Method for Automatically Processing Outliers of a Quantitative Variable

Author 1: NIANGORAN Aristhophane Kerandel Author 2: MENSAH Edoété Patrice Author 3: ACHIEPO Odilon Yapo M Author 4: DIAKO Doffou Jérome

In data analysis processes, the treatment of outliers in quantitative variables is very critical as it affects the quality of the conclusions. However, despite the existence of very good tools for detecting outliers, dealing with them is not always straightforward. Indeed, statisticians recommend modeling the process underlying outliers to identify… Read full abstract & cite →

Outliers boxplot exploratory data analysis Programming R data science

Abstract doi.org/10.14569/IJACSA.2020.0110753 PDF

54

Analysis of the Use of Technological Tools in University Higher Education using the Soft Systems Methodology

Author 1: Alexandra Ramos Bernaola Author 2: Marianne Aldude Tipula Author 3: Jose Estrada Moltalvo Author 4: Valeria Señas Sandoval Author 5: Laberiano Andrade-Arenas

This article analyzes the professional training of students according to the current situation. Students are experiencing a new modality of study due to the Covid-19 and specialists have to evaluate which would be the best solutions in order that students achieve greater understanding, because they are one of the most… Read full abstract & cite →

Soft system involved university virtual classroom students

Abstract doi.org/10.14569/IJACSA.2020.0110754 PDF

55

Effective Opinion Words Extraction for Food Reviews Classification

Author 1: Phuc Quang Tran Author 2: Ngoan Thanh Trieu Author 3: Nguyen Vu Dao Author 4: Hai Thanh Nguyen Author 5: Hiep Xuan Huynh

Opinion mining (known as sentiment analysis or emotion Artificial Intelligence) holds important roles for e-commerce and benefits to numerous business and organizations. It studies the use of natural language processing, text analysis, computational linguistics, and biometrics to provide us business valuable insights into how people feel about our product brand… Read full abstract & cite →

Review classification opinion words machine learning important features Amazon

Abstract doi.org/10.14569/IJACSA.2020.0110755 PDF

56

Novel Design and Implementation of a Vehicle Controlling and Tracking System

Author 1: Hasan K. Naji Author 2: Iuliana Marin Author 3: Nicolae Goga Author 4: Cristian Taslitschi

The purpose of this project is to build a system that will quickly track the location of a stolen vehicle, thereby reducing the cost and effort of police. Moreover, the vehicle’s computer system can be controlled remotely by the owners of the vehicle or police. More precisely, the goal of… Read full abstract & cite →

Vehicle controlling smart system tracking system microcontroller messaging GSM GBS

Abstract doi.org/10.14569/IJACSA.2020.0110756 PDF

57

An Intelligent Approach for Detecting Palm Trees Diseases using Image Processing and Machine Learning

Author 1: Hazem Alaa Author 2: Khaled Waleed Author 3: Moataz Samir Author 4: Mohamed Tarek Author 5: Hager Sobeah Author 6: Mustafa Abdul Salam

Today’s palm trees diseases which cause a huge loss in production are extremely hard to detect either because these diseases are hidden inside the texture of the palm itself and cannot be seen by naked eyes or because it appears on its leaves which are hardly examined due to how… Read full abstract & cite →

Machine learning deep learning image processing leaf spots blight spots red palm weevil

Abstract doi.org/10.14569/IJACSA.2020.0110757 PDF

58

Entropy-Based k Shortest-Path Routing for Motorcycles: A Simulated Case Study in Jakarta

Author 1: Muhamad Asvial Author 2: M. Faridz Gita Pandoyo Author 3: Ajib Setyo Arifin

Traffic congestion is a serious problem in rapidly developing urban areas like Jakarta, Indonesia’s capital city. To avoid the congestion, motorcycles assisted with navigation apps are popular solution. However, the existing navigation apps do not take into account traffic data. This paper proposes an open-source navigation app for motorcycle by… Read full abstract & cite →

Traffic congestion motorcycle navigation apps EBkSP

Abstract doi.org/10.14569/IJACSA.2020.0110758 PDF

59

Identity Attributes Metric Modelling based on Mathematical Distance Metrics Models

Author 1: Felix Kabwe Author 2: Jackson Phiri

Internet has brought a lot of security challenges on the interaction, activities, and transactions that occur online. These include pervasion of privacy of individuals, organizations, and other online actors. Relationships in real life get affected by online mischievous actors with intent to misrepresent or ruin the characters of innocent people… Read full abstract & cite →

Mathematical modeling Cosine Similarity Measure text frequency inverse document frequency cyber space term weight internet digital identity trust model normalization text mining

Abstract doi.org/10.14569/IJACSA.2020.0110759 PDF

60

Design Optimization of Power and Area of Two-Stage CMOS Operational Amplifier Utilizing Chaos Grey Wolf Technique

Author 1: Telugu Maddileti Author 2: Govindarajulu Salendra Author 3: Chandra Mohan Reddy Sivappagari

Low Power Dissipation is an emerging challenge in the current electronics industry. Area shrinking has found the most prominent place and is the foundation of every constricted size in the utilization of CMOS circuits in Integrated Circuit Manufacturing. Functionality in terms of rapidity, dissipation of power, etc. are strongly influenced… Read full abstract & cite →

CMOS CGWO optimization technique operational amplifier aspect ratio power dissipation

Abstract doi.org/10.14569/IJACSA.2020.0110760 PDF

61

BERT+vnKG: Using Deep Learning and Knowledge Graph to Improve Vietnamese Question Answering System

Author 1: Truong H. V Phan Author 2: Phuc Do

A question answering (QA) system based on natural language processing and deep learning is a prominent area and is being researched widely. The Long Short-Term Memory (LSTM) model that is a variety of Recurrent Neural Network (RNN) used to be popular in machine translation, and question answering system. However, that… Read full abstract & cite →

Bidirectional Encoder Representation from Transformer (BERT) knowledge graph Question Answering (QA) Long Short-Term Memory (LSTM) deep learning Vietnamese tourism natural language processing

Abstract doi.org/10.14569/IJACSA.2020.0110761 PDF

62

A New Strategy for the Morphological and Colorimetric Recognition of Erythrocytes for the Diagnosis of Forms of Anemia based on Microscopic Color Images of Blood Smears

Author 1: J. Nango ALICO Author 2: Sie OUATTARA Author 3: Alain CLEMENT

The detection of red blood cells based on morphology and colorimetric appearance is very important in improving hematology diagnostics. There are automatons capable of detecting certain forms, but these have limitations with regard to the formal identification of red blood cells because they consider certain cells to be red blood… Read full abstract & cite →

Erythrocyte anemia iron-deficiency falciform thalassemia hemolytic recognition morphology color segmentation histogram Otsu

Abstract doi.org/10.14569/IJACSA.2020.0110762 PDF

63

Enhanced Artificial Intelligence System for Diagnosing and Predicting Breast Cancer using Deep Learning

Author 1: Mona Alfifi Author 2: Mohamad Shady Alrahhal Author 3: Samir Bataineh Author 4: Mohammad Mezher

Breast cancer is the leading cause of death among women with cancer. Computer-aided diagnosis is an efficient method for assisting medical experts in early diagnosis, improving the chance of recovery. Employing artificial intelligence (AI) in the medical area is very crucial due to the sensitivity of this field. This means… Read full abstract & cite →

Traditional Convolutional Neural Network (TCNN) Supported Convolutional Neural Network (SCNN) shift scaling cancer detection mammogram histogram equalization adaptive median filter

Abstract doi.org/10.14569/IJACSA.2020.0110763 PDF

64

A Dynamic Two-Layers MI and Clustering-based Ensemble Feature Selection for Multi-Labels Text Classification

Author 1: Adil Yaseen Taha Author 2: Sabrina Tiun Author 3: Abdul Hadi Abd Rahman Author 4: Masri Ayob Author 5: Ali Sabah

Multi-label text classification deals with the issue that arises from each sample being related to multiple labels. The text data suffers from high dimensionality. In order to resolve this issue, a feature selection (FS) method can be implemented for efficiently removing the noisy, irrelevant, and redundant features. Multi-label FS is… Read full abstract & cite →

Multi-label text classification high dimensionality filtering method ensemble clustering ensemble MI feature selection

Abstract doi.org/10.14569/IJACSA.2020.0110764 PDF

65

ARIMA Model for Accurate Time Series Stocks Forecasting

Author 1: Shakir Khan Author 2: Hela Alghulaiakh

With the increasing of historical data availability and the need to produce forecasting which includes making decisions regarding investments, in addition to the needs of developing plans and strategies for the future endeavors as well as the difficulty to predict the stock market due to its complicated features, This paper… Read full abstract & cite →

ARIMA forecasting prediction analysis time series stocks forecasting data mining big data

Abstract doi.org/10.14569/IJACSA.2020.0110765 PDF

66

M2C: A Massive Performance and Energy Throttling Framework for High-Performance Computing Systems

Author 1: Muhammad Usman Ashraf Author 2: Kamal M. Jambi Author 3: Amna Arshad Author 4: Rabia Aslam Author 5: Iqra Ilyas

At the Petascale level of performance, High-Performance Computing (HPC) systems require significant use of supercomputers with the extensive parallel programming approaches to solve the complicated computational tasks. The Exascale level of performance having 1018 calculations per second is another remarkable achievement in computing with a fathomless influence on everyday life… Read full abstract & cite →

High performance computing Exascale computing compute unified device architecture

Abstract doi.org/10.14569/IJACSA.2020.0110766 PDF

67

Systematic Review Study of Decision Trees based Software Development Effort Estimation

Author 1: Assia Najm Author 2: Abdelali Zakrani Author 3: Abdelaziz Marzak

The role of decision trees in software development effort estimation (SDEE) has received increased attention across several disciplines in recent years thanks to their power of predicting, their ease of use, and understanding. Furthermore, there are a large number of published studies that investigated the use of a decision tree… Read full abstract & cite →

Systematic literature review decision tree regression tree software development effort estimation

Abstract doi.org/10.14569/IJACSA.2020.0110767 PDF

68

Genetic Algorithms for the Multiple Travelling Salesman Problem

Author 1: Maha Ata Al-Furhud Author 2: Zakir Hussain Ahmed

We consider the multiple travelling salesman Problem (MTSP) that is one of the generalization of the travelling salesman problem (TSP). For solving this problem genetic algorithms (GAs) based on numerous crossover operators have been described in the literature. Choosing effective crossover operator can give effective GA. Generally, the crossover operators… Read full abstract & cite →

Multiple travelling salesman problem NP-hard genetic algorithm sequential constructive crossover adaptive greedy comprehensive

Abstract doi.org/10.14569/IJACSA.2020.0110768 PDF

69

Stage Identification and Classification of Lung Cancer using Deep Convolutional Neural Network

Author 1: Varsha Prakash Author 2: Smitha Vas.P

The performance of lung segmentation is highly dependent on disease prediction task. Challenges for prediction and segmentation raise the need of using multiple learning techniques. Current models initially perform image segmentation in all CT scan images and then classify it as malicious or benign. This consumes more time since it… Read full abstract & cite →

Computer Aided Diagnosis (CAD) Deep Convolutional Neural Network (DCNN) pulmonary nodule segmentation benign malignant staging

Abstract doi.org/10.14569/IJACSA.2020.0110769 PDF

70

Classification Model of Municipal Management in Local Governments of Peru based on K-means Clustering Algorithms

Author 1: Jose Morales Author 2: Nakaday Vargas Author 3: Mario Coyla Author 4: Jose Huanca

The K-means algorithm groups datasets into different groups, defines a fixed number of clusters, iteratively assigning data to the clusters formed by adjusting the centers in each cluster. K-means algorithm uses an unsupervised learning method to discover patterns in an input data set. The purpose of the research is to… Read full abstract & cite →

K-means cluster municipality model municipal management

Abstract doi.org/10.14569/IJACSA.2020.0110770 PDF

71

Dynamic SEIZ in Online Social Networks: Epidemiological Modeling of Untrue Information

Author 1: Akanksha Mathur Author 2: Chandra Prakash Gupta

The epidemic propagation of untrue information in online social networks leads to potential damage to society. This phenomenon has attracted attention to researchers on a faster spread of false information. Epidemic models such as SI, SIS, SIR, developed to study the infection spread on social media. This paper uses SEIZ… Read full abstract & cite →

Information diffusion epidemic models SEIZ rumor detection

Abstract doi.org/10.14569/IJACSA.2020.0110771 PDF

72

An Artificial Intelligent based System to Automate Decision Making in Assembly Solution Design

Author 1: ABADI Chaimae Author 2: MANSSOURI Imad Author 3: ABADI Asmae

Nowadays, competitiveness between industries has become very strong. Thus, industries are faced to serious challenges in terms of products qualities, time development and production cost. As assembly operations difficulties cause a big part of production problems, the integration of assembly selection since the earlier product life cycle phases has become… Read full abstract & cite →

Assembly selection product assembly ontologies CBR & RBR flexible and automated decision making system artificial intelligence

Abstract doi.org/10.14569/IJACSA.2020.0110772 PDF

73

IDP: A Privacy Provisioning Framework for TIP Attributes in Trusted Third Party-based Location-based Services Systems

Author 1: Muhammad Usman Ashraf Author 2: Kamal M. Jambi Author 3: Rida Qayyum Author 4: Hina Ejaz

Location-Based Services (LBS) System is rapidly growing due to radio communication services with wireless mobile devices having a positioning component in it. LBS System offers location-based services by knowing the actual user position. A mobile user uses LBS to access services relevant to their locations. In order to provide Point… Read full abstract & cite →

Location Based Services (LBS) Trusted Third Party (TTP) privacy protection goals mobile user privacy Improved Dummy Position (IDP) Sybil Query

Abstract doi.org/10.14569/IJACSA.2020.0110773 PDF

74

Survey on Homomorphic Encryption and Address of New Trend

Author 1: Ayman Alharbi Author 2: Haneen Zamzami Author 3: Eman Samkri

Encryption is the process of disguising text to ensure the confidentiality of data transmitted from one party to another. Homomorphic encryption is one of the most important encryption-related processes which allows performing operation over encrypted data. Using different public key algorithms, homo-morphic encryption can be implemented in any scheme. There… Read full abstract & cite →

Homomorphic encryption cloud computing V2V VANET blockchain

Abstract doi.org/10.14569/IJACSA.2020.0110774 PDF

75

Convolutional Neural Network and Topic Modeling based Hybrid Recommender System

Author 1: Hira Kanwal Author 2: Muhammad Assam Author 3: Abdul Jabbar Author 4: Salman Khan Author 5: Kalimullah

In today’s personalized business environment, or-ganizations are providing bulk of information regarding their products and services. Recommender system has various accom-plishment on exploiting auxiliary information in matrix factor-ization. To handle data sparsity problem most recommender systems utilized deep learning techniques for in-depth analysis of item content to generate more accurate… Read full abstract & cite →

Recommender system collaborative filtering Lda2vec Convolutional Neural Network (CNN) data sparsity problem user reviews

Abstract doi.org/10.14569/IJACSA.2020.0110775 PDF

76

Data Rate Limit in Low and High SNR Regime for Nakagami-q Fading Wireless Channel

Author 1: Md. Mazid-Ul-Haque Author 2: Md. Sohidul Islam

Adequate data rate is always desired in wireless communication channels. Previously, few fading models were used to model wireless communication channels and to perform analysis on them. In this paper, analyses of data rate limit of single-input single-output (SISO) wireless communication system over Nakagami-q fading channels are presented. The calculation… Read full abstract & cite →

Wireless communication Nakagami-q fading SISO channel capacity low SNR regime high SNR regime

Abstract doi.org/10.14569/IJACSA.2020.0110776 PDF

77

DeepScratch: Scratch Programming Language Extension for Deep Learning Education

Author 1: Nora Alturayeif Author 2: Nouf Alturaief Author 3: Zainab Alhathloul

Visual programming languages make programming more accessible for novices, which open more opportunities to innovate and develop problem-solving skills. Besides, deep learning is one of the trending computer science fields that has a profound impact on our daily life, and it is important that young people are aware of how… Read full abstract & cite →

Deep learning visual programming languages pro-gramming education formal language definitions neural networks

Abstract doi.org/10.14569/IJACSA.2020.0110777 PDF

78

Enhancing Disease Prediction on Imbalanced Metagenomic Dataset by Cost-Sensitive

Author 1: Hai Thanh Nguyen Author 2: Toan Bao Tran Author 3: Quan Minh Bui Author 4: Huong Hoang Luong Author 5: Trung Phuoc Le Author 6: Nghi Cong Tran

Imbalanced datasets usually appear popularly to many real-world applications and studies. For metagenomic data, we also face the same issue where the number of patients is greater than the number of healthy individuals or vice versa. In this study, we propose a method to handle the imbalanced datasets issues by… Read full abstract & cite →

Cost-sensitive imbalanced datasets disease predic-tion deep learning

Abstract doi.org/10.14569/IJACSA.2020.0110778 PDF

79

Design of Efficient Power Supply for the Proper Operation of Bio-Mimetic Soft Lens

Author 1: Saad Hayat Author 2: Sheeraz Ahmed Author 3: Malik Shah Zeb Ali Author 4: Muhammad Qaiser Khan Author 5: Muhammad Salman Khan Author 6: Muhammad Usama Author 7: Zeeshan Najam Author 8: Asif Nawaz

Soft Robotics is one of the emerging and top-notched researched fields in Robotics which collaborate and Interact with Human Machine Interface (HMI). Several power electronics and electrical devices are used for the proper operation of these robots, among them high voltage power supply plays a vital role. Several approaches are… Read full abstract & cite →

Cock croft walton multiplier EOG elastomers bio mimetic lens template

Abstract doi.org/10.14569/IJACSA.2020.0110779 PDF

80

Viral and Bacterial Pneumonia Diagnosis via Deep Learning Techniques and Model Explainability

Author 1: Hai Thanh Nguyen Author 2: Toan Bao Tran Author 3: Huong Hoang Luong Author 4: Trung Phuoc Le Author 5: Nghi Cong Tran

Pneumonia is one of the most serious diseases for infants and young children, people older than age 65, and people with health problems or weakened immune systems. From nu-merous studies, scientists have found that a variety of organisms, including bacteria, viruses, and fungi, can be the cause of the disease… Read full abstract & cite →

Interpretability pneumonia x-rays images bacte-rial and viral pneumonia image-based disease diagnosis

Abstract doi.org/10.14569/IJACSA.2020.0110780 PDF

81

Abandoned Object Detection using Frame Differencing and Background Subtraction

Author 1: Mohiu Din Author 2: Aneela Bashir Author 3: Abdul Basit Author 4: Sadia Lakho

Tracking objects over fixed surveillance cameras are widely used for security purposes in public areas such as train stations, airports, parking areas, and public transportation for the prevention of terrorism. Once the object is accurately detected in the image scene, we can use various visual algorithms to find a number… Read full abstract & cite →

Object detection video surveillance tracking back-ground subtraction frame differencing motion model

Abstract doi.org/10.14569/IJACSA.2020.0110781 PDF

82

Single and Ensemble Classification for Predicting User’s Restaurant Preference

Author 1: Esra’a Alshdaifat Author 2: Ala’a Al-shdaifat

Classification is one of the most attractive and powerful data mining functionalities. Classification algorithms are applied to real-world problems to produce intelligent prediction models. Two main categories of classification algorithms can be adopted for generating prediction models: Single and Ensemble classification algorithms. In this paper, both categories are utilized to… Read full abstract & cite →

Classification data mining ensemble algorithms restaurant preferences

Abstract doi.org/10.14569/IJACSA.2020.0110782 PDF

83

A Multi-Class Neural Network Model for Rapid Detection of IoT Botnet Attacks

Author 1: Haifaa Alzahrani Author 2: Maysoon Abulkhair Author 3: Entisar Alkayal

The tremendous number of Internet of Things (IoT) devices and their widespread use have made our lives considerably more manageable and safer. At the same time, however, the vulnerability of these innovations means that our day-to-day existence is surrounded by insecure devices, thereby facilitating ways for cybercriminals to launch various… Read full abstract & cite →

Internet of Things (IoT) IoT botnets IoT security intrusion detection system deep learning neural network

Abstract doi.org/10.14569/IJACSA.2020.0110783 PDF

84

Vehicle Counting using Deep Learning Models: A Comparative Study

Author 1: Azizi Abdullah Author 2: Jaison Oothariasamy

Recently, there has been a shift to deep learning architectures for better application in vehicle traffic control systems. One popular deep learning library used for detecting vehicle is TensorFlow. In TensorFlow, the pre-trained model is very efficient and can be transferred easily to solve other similar problems. However, due to… Read full abstract & cite →

CNN transfer learning deep learning object de-tection vehicle detection

Abstract doi.org/10.14569/IJACSA.2020.0110784 PDF

85

Predicting Customer Retention using XGBoost and Balancing Methods

Author 1: Atallah M. AL-Shatnwai Author 2: Mohammad Faris

Customer retention is considered as one of the important concerns for many companies and financial institutions like banks, telecommunication service providers, investment ser-vices, insurance and retail sectors. Recent marketing indicators and metrics show that attracting and gaining new customers or subscribers is much more expensive and difficult than retaining existing… Read full abstract & cite →

Customer retention churn prediction oversam-pling XGBoost

Abstract doi.org/10.14569/IJACSA.2020.0110785 PDF

86

Proposal for a Software Architecture as a Tool for the Fight Against Corruption in the Regional Governments of Peru

Author 1: Martin M. Soto-Cordova Author 2: Samuel Leon-Cardenas Author 3: Kevin Huayhuas-Caripaza Author 4: Raquel M. Sotomayor-Parian

This paper covers the problem of corruption in Peru, with an emphasis on regional governments, and presents a proposal for an anti-corruption software application architecture for those levels of government. The design of the proposal starts from the analysis of corruption encompassing statistical studies, trust evolution, government management, legal situation… Read full abstract & cite →

Software architecture anti-corruption regional government local government corruption perception index

Abstract doi.org/10.14569/IJACSA.2020.0110786 PDF

87

Ontology-based Course Teacher Assignment within Universities

Author 1: Ghadeer Ashour Author 2: Ahmad Al-Dubai Author 3: Imed Romdhani

Educational institutions suffer from the enormous amount of data that keeps growing continuously. These data are usually scattered and unorganised, and it comes from different resources with different formats. Besides, modernization vision within these institutions aims to reduce human action and replace it with automatic devices interactions. To have the… Read full abstract & cite →

Semantic university ontology academic profile syllabus course-teacher assignment

Abstract doi.org/10.14569/IJACSA.2020.0110787 PDF