IJACSA Vol. 11 Issue 8 (2020)

1

LXPER Index: A Curriculum-specific Text Readability Assessment Model for EFL Students in Korea

Author 1: Bruce W. Lee Author 2: Jason Hyung-Jong Lee

Automatic readability assessment is one of the most important applications of Natural Language Processing (NLP) in education. Since automatic readability assessment allows the fast selection of appropriate reading material for readers at all levels of proficiency, it can be particularly useful for the English education of English as Foreign Language… Read full abstract & cite →

Natural language processing machine learning text readability assessment EFL (English as Foreign Language) education

Abstract doi.org/10.14569/IJACSA.2020.0110801 PDF

2

Developing a Radiating L-shaped Search Algorithm for NASA Swarm Robots

Author 1: Tariq Tashtoush Author 2: Jalil Ahmed Author 3: Valeria Arce Author 4: Heriberto Dominguez Author 5: Kevin Estrada Author 6: William Montes Author 7: Ashley Paredez Author 8: Pedro Salce Author 9: Alexia Serna Author 10: Mireya Zarazua

This paper focuses on designing a search algorithm that the DustySWARM team used in the 2019 NASA Swarmathon competition. The developed search algorithm will be implemented and tested on multiple rovers, a.k.a. Swarmies or Swarm Robots. Swarmies are compact rovers, designed by NASA to mimic Ants behavior and perform an… Read full abstract & cite →

NASA Swarmathon competition swarm robotics search algorithm autonomous Robot Operating System (ROS) NASA space exploration simulation autonomous robot swarm collaborative robots autonomous behavior cooperative robots swarmies L-Shaped search GitHub

Abstract doi.org/10.14569/IJACSA.2020.0110802 PDF

3

Impacts of Decomposition Techniques on Performance and Latency of Microservices

Author 1: Chaitanya K. Rudrabhatla

Micro service architecture (MSA) has undoubtedly become the most popular modern-day architecture, often used in conjunction with the rapidly advancing public cloud platforms to reap the best benefits of salability, elasticity and agility. Though MSA is highly advantageous and comes with a huge set of benefits, it has its own… Read full abstract & cite →

Microservices decomposition techniques single responsibility principle common closure principle performance latency

Abstract doi.org/10.14569/IJACSA.2020.0110803 PDF

4

A Home Intrusion Detection System using Recycled Edge Devices and Machine Learning Algorithm

Author 1: Daewoo Kwon Author 2: Jinseok Song Author 3: Chanho Choi Author 4: Eun-Kyu Lee

This paper proposes a home intrusion detection system that makes the best use of a retired smartphone and an existing Wi-Fi access point. On-board sensors in the smartphone mounted on an entrance door records signals upon unwanted door opening. The access point is reconfigured to serve as a home server… Read full abstract & cite →

Security intrusion detection edge computing Internet of Things recycling

Abstract doi.org/10.14569/IJACSA.2020.0110804 PDF

5

Development and Verification of Serial Fault Simulation for FPGA Designs using the Proposed RASP-FIT Tool

Author 1: Abdul Rafay Khatri Author 2: Ali Hayek Author 3: Josef Borcsok

Fault simulation is the critical approach for many applications such as fault detection & diagnostics, test set quality measurement, generation of test vectors, circuit testability, and many others along with the help of fault injection technique. The fault simulation approach is divided into many types. The most straightforward approach among… Read full abstract & cite →

FPGA design fault injection fault simulation RASP-FIT tool Verilog HDL

Abstract doi.org/10.14569/IJACSA.2020.0110805 PDF

6

Study of K-Nearest Neighbour Classification Performance on Fatigue and Non-Fatigue EMG Signal Features

Author 1: W. M. Bukhari Author 2: C. J. Yun Author 3: A. M. Kassim Author 4: M. O. Tokhi

For our body to move, the muscle must activate by relaxing and contracting. Muscle activation produces bio-electric signals that can be detected using Electromyography or EMG. The signal produced by the muscle is affected by the type of contraction done by the muscle. The eccentric contraction generating different EMG signals… Read full abstract & cite →

Electromyography surface electromyography k-nearest neigbour classifier feature extraction dynamic contraction

Abstract doi.org/10.14569/IJACSA.2020.0110806 PDF

7

Road Object Detection using Yolov3 and Kitti Dataset

Author 1: Ghaith Al-refai Author 2: Mohammed Al-refai

Road objects (such as pedestrians and vehicles) detection is a very important step to enhance road safety and achieve autonomous driving. Many on-vehicle sensors, such as radars, lidars and ultrasonic sensors, are used to detect surrounding objects. However, cameras are widely used sensors for road objects detection for the rich… Read full abstract & cite →

Pedestrian detection computer vision CNN ma-chine learning artificial intelligence vehicle safety

Abstract doi.org/10.14569/IJACSA.2020.0110807 PDF

8

Predicting Breast Cancer via Supervised Machine Learning Methods on Class Imbalanced Data

Author 1: Keerthana Rajendran Author 2: Manoj Jayabalan Author 3: Vinesh Thiruchelvam

A widespread global health concern among women is the incidence of the second most leading cause of fatality which is breast cancer. Predicting the occurrence of breast cancer based on the risk factors will pave the way to an early diagnosis and an efficient treatment in a quicker time. Although… Read full abstract & cite →

Breast cancer class imbalance diagnosis bayesian network

Abstract doi.org/10.14569/IJACSA.2020.0110808 PDF

9

A Novel Fuzzy Clustering Approach for Gene Classification

Author 1: Meskat Jahan Author 2: Mahmudul Hasan

Automatic cluster detection is crucial for real-time gene expression data where the quantity of missing values and noise ratio is relatively high. In this paper, algorithms of dynamical determination of the number of cluster and clustering have been proposed without any pre and post clustering assumptions. Proposed fuzzy Meskat-Hasan (MH)… Read full abstract & cite →

Meskat-Hasan clustering (MH clustering) MH Extended K-Means clustering K-Means fuzzy clustering

Abstract doi.org/10.14569/IJACSA.2020.0110809 PDF

10

Local Binary Pattern Method (LBP) and Principal Component Analysis (PCA) for Periocular Recognition

Author 1: Sereen Alkhazali Author 2: Mohammad El-Bashir

Identification of identity through eye is gaining more and more importance. Commonly, the researchers approach the eye from any of three parts, the iris, the circumference around the eye, and the iris and its circumference. This study follows a holistic approach to identity identification by using the iris and whole… Read full abstract & cite →

Periocular recognition Local Binary Pattern (LBP) Principal Component Analysis (PCA) k-Nearest Neighbors (k-NN)

Abstract doi.org/10.14569/IJACSA.2020.0110810 PDF

11

Design and Performance Analysis of Different Dielectric Substrate based Microstrip Patch Antenna for 5G Applications

Author 1: Nurulazlina Ramli Author 2: Shehab Khan Noor Author 3: Taher Khalifa Author 4: N. H. Abd Rahman

In this paper, a 3.5 GHz microstrip patch antenna using three different substrates materials with varying relative permittivity have been designed. However, the thickness of the substrates are slightly different from each other which is 1.6 mm for FR-4, 1.575 mm for RT-5880 and 1.58 mm for TLC-30 have been… Read full abstract & cite →

Efficiency gain microstrip patch antenna permittivity substrates

Abstract doi.org/10.14569/IJACSA.2020.0110811 PDF

12

Monopole Antenna on Transparent Substrate and Rectifier for Energy Harvesting Applications in 5G

Author 1: S. M. Kayser Azam Author 2: Md. Shazzadul Islam Author 3: A. K. M. Zakir Hossain Author 4: Mohamadariff Othman

In line with the harvested energy required for the emerging 5G technology, this article proposes a planar monopole antenna and a rectifier. The proposed Coplanar Waveguide (CPW)-fed antenna is printable on a transparent Poly-Ethylene Terephthalate (PET) substrate. The antenna has a center frequency at 3.51 GHz within a bandwidth of… Read full abstract & cite →

Monopole antenna transparent substrate 5G energy harvesting rectifier

Abstract doi.org/10.14569/IJACSA.2020.0110812 PDF

13

Blockchain-based Global Travel Review Framework

Author 1: Tanakorn Karode Author 2: Warodom Werapun Author 3: Tanwa Arpornthip

An online review system is an important part of almost every e-commerce platform, especially a tourism e-commerce. However, various problems exist in the current online review systems. The review content is stored in a centralized database of each individual platform. Each platform differs in review management methods. In some cases… Read full abstract & cite →

Consumer online review traveling blockchain smart contract

Abstract doi.org/10.14569/IJACSA.2020.0110813 PDF

14

Assessing Vietnamese Text Readability using Multi-Level Linguistic Features

Author 1: An-Vinh Luong Author 2: Diep Nguyen Author 3: Dien Dinh Author 4: Thuy Bui

Text readability is the problem of determining whether a text is suitable for a certain group of readers, and thus building a model to assess the readability of text yields great significance across the disciplines of science, publishing, and education. While text readability has attracted attention since the late nineteenth… Read full abstract & cite →

Text readability text difficulty readability formula linguistics features Vietnamese

Abstract doi.org/10.14569/IJACSA.2020.0110814 PDF

15

An ACM\IEEE and ABET Compliant Curriculum and Accreditation Management Framework

Author 1: Manar Salamah Ali

Following methodological and systemized approaches in creating course syllabi and program curriculums are very crucial for assuring the coherence (correctness, completeness, consistency, and validity) of curriculums. Furthermore, designing coherent curriculums have a direct impact on achieving curriculum outcomes. For institutions seeking accreditation, presenting evidence of curriculum coherence is mandatory. In… Read full abstract & cite →

Curriculum coherence body of knowledge accreditation knowledge base design ABET

Abstract doi.org/10.14569/IJACSA.2020.0110815 PDF

16

A Hybrid Deep Learning Model for Arabic Text Recognition

Author 1: Mohammad Fasha Author 2: Bassam Hammo Author 3: Nadim Obeid Author 4: Jabir AlWidian

Arabic text recognition is a challenging task because of the cursive nature of Arabic writing system, its joint writing scheme, the large number of ligatures and many other challenges. Deep Learning (DL) models achieved significant progress in numerous domains including computer vision and sequence modelling. This paper presents a model… Read full abstract & cite →

Arabic optical character recognition deep learning convolutional neural networks recurrent neural networks

Abstract doi.org/10.14569/IJACSA.2020.0110816 PDF

17

Cyber Security Defence Policies: A Proposed Guidelines for Organisations Cyber Security Practices

Author 1: Julius Olusegun Oyelami Author 2: Azleena Mohd Kassim

Many organisations have been struggling to defend their cyberspace without a specific direction or guidelines to follow and they have described and identified cyber attack as a devastating potential on business operation in a broader perspective. Since then, researchers in cyber security have come out with numerous reports on threats… Read full abstract & cite →

Cyber security cyber defence policy organisation cyber security practices

Abstract doi.org/10.14569/IJACSA.2020.0110817 PDF

18

New RTP Packet Payload Shrinking Method to Enhance Bandwidth Exploitation Over RTP Protocol

Author 1: AbdelRahman H. Hussein Author 2: Mwaffaq Abu-Alhaija Author 3: Kholoud Nairoukh

One of the pillars to run businesses is the telecommunications. Most of the institutions are migrating, if not already migrated, to Voice over Internet Protocol (VoIP) technology. However, VoIP still need some improvements, in terms of networks bandwidth exploitation and VoIP call quality, to meet the businesses expectations. Networks bandwidth… Read full abstract & cite →

VoIP RTP protocol payload compression bandwidth exploitation

Abstract doi.org/10.14569/IJACSA.2020.0110818 PDF

19

Arabic Handwritten Character Recognition based on Convolution Neural Networks and Support Vector Machine

Author 1: Mahmoud Shams Author 2: Amira. A. Elsonbaty Author 3: Wael. Z. ElSawy

Recognition of Arabic characters is essential for natural language processing and computer vision fields. The need to recognize and classify the handwritten Arabic letters and characters are essentially required. In this paper, we present an algorithm for recognizing Arabic letters and characters based on using deep convolution neural networks (DCNN)… Read full abstract & cite →

Handwritten Arabic recognition convolutional neural networks support vector machine

Abstract doi.org/10.14569/IJACSA.2020.0110819 PDF

20

Noise Reduction on Bracketed Images for High Dynamic Range Imaging

Author 1: Seong-O Shim

The quality of a high dynamic range (HDR) image produced from bracketed images taken at different camera exposure times can be degraded by noise contained in bracketed images. In this paper, we propose a noise reduction method on bracketed images based on exposure time ratio. First, for each pixel pair… Read full abstract & cite →

Image denoising high dynamic range imaging noise detection noise removal image restoration

Abstract doi.org/10.14569/IJACSA.2020.0110820 PDF

21

Quality in Use of an Android-based Mobile Application for Calculation of Bone Mineral Density with the Standard ISO/IEC 25022

Author 1: Jose Sulla-Torres Author 2: Andrea Gutierrez-Quintanilla Author 3: Henry Pinto-Rodriguez Author 4: Rossana Gomez-Campos Author 5: Marco Cossio-Bolanos

One of the most critical bone diseases is osteoporosis, which can be evaluated through measurements of bone mineral density. Though there is a lot of commercialized portable about health in general, few are oriented towards bone health and with a lack of user-friendly interface and data management system. This paper… Read full abstract & cite →

Android mobile application bone mineral density firebase software quality ISO/IEC 25022

Abstract doi.org/10.14569/IJACSA.2020.0110821 PDF

22

Fuzzy based Reliable Cooperative Spectrum Sensing for Smart Grid Environment

Author 1: Laila Nassef Author 2: Reemah Al-Hebshi

The huge demand for spectrum has created immediate need to make available new licensed and/or unlicensed spectrum bands to satisfy the explosive growth of spectrum demands and to satisfy the quality of service requirements of diverse applications. Spectrum shortage and harsh environment have become a challenging bottleneck to achieve reliable… Read full abstract & cite →

Cognitive radio wireless networks cooperative spectrum sensing reliable fusion fuzzy inference system

Abstract doi.org/10.14569/IJACSA.2020.0110822 PDF

23

Modeling and Assessing the Power Consumption Behavior of Sensor Nodes using Petri Nets

Author 1: Alaa E. S. Ahmed

Power Consumption is an influential and important concern in Wireless Sensor Networks (WSNs). Assessing and determining the impact of the power behavior of sensor nodes is an inclusive concern that should be executed at the network pre-deployment phase rather than post-deployment phase. Providing an accurate power modeling improves the development… Read full abstract & cite →

Wireless sensor networks power modeling event-trigger colored petri net WSN protocols distributed systems

Abstract doi.org/10.14569/IJACSA.2020.0110823 PDF

24

The TPOA Telecentre: A Community Sustainable Telecentre Architecture

Author 1: Chong Eng Tan Author 2: Poline Bala Author 3: Sei Ping Lau Author 4: Siew Mooi Wong

This paper presented the telecentre implementation for the Orang Asli villages in remote rural areas under the Telecentre Program for Orang Asli (TPOA). TPOA telecentre architecture aims to assist the achievement of a rural community sustainable telecentre through innovation and strategic adoption of ICT technology. Lessons learned from our past… Read full abstract & cite →

Telecentre sustainability TPOA telecentre architecture ICT4D rural development

Abstract doi.org/10.14569/IJACSA.2020.0110824 PDF

25

A Computational Approach to Explore Extremist Ideologies in Daesh Discourse

Author 1: Ayman F. Khafaga

This paper uses a computer-based frequency analysis to present an ideological discourse analysis of extremist ideologies in Daesh discourse. More specifically, by using a computer-assisted text analysis, the paper attempts to investigate the hidden extremist ideologies beyond the discourse of the first issue of Rumiyah, one of the main digital… Read full abstract & cite →

Computational linguistics concordance Daesh frequency analysis ideology Rumiyah

Abstract doi.org/10.14569/IJACSA.2020.0110825 PDF

26

Optimized Cardiovascular Disease Detection and Features Extraction Algorithms from ECG Data

Author 1: Sanjay Ghodake Author 2: Shashikant Ghumbre Author 3: Sachin Deshmukh

A heart disease called cardiovascular diseases (CVD) is another leading cause for the death. There are several reasons that lead the CVD in human beings. The early detect of CVD helps to take necessary medical attentions to prevent the harms. The conventional techniques for CVD detection were manual and expensive… Read full abstract & cite →

Electrocardiogram heart disease cardiovascular disease hybrid filtering features extraction QRS and ST beats

Abstract doi.org/10.14569/IJACSA.2020.0110826 PDF

27

Facilitating the Detection of ASD in Ultrasound Video using RHOOF and SVM

Author 1: Mrunal Ninad Annadate Author 2: Manoj Nagmode

In the medical field various motion tracking techniques like block matching, optical flow, and histogram of oriented optical flow (HOOF) are being experimented for the abnormality detection. The information furnished by the existing techniques is inadequate for medical diagnosis. This technique has an inherent drawback, as the entire image is… Read full abstract & cite →

Two dimensional apical four chamber region-based histograms of oriented optical flow machine learning area under the curve support vector machine congenital

Abstract doi.org/10.14569/IJACSA.2020.0110827 PDF

28

Impact of Circular Field in Underwater Wireless Sensor Networks

Author 1: Syed Agha Hassnain Mohsan Author 2: Mushtaq Ali Khan Author 3: Arfan Mahmood Author 4: Muhammad Hammad Akhtar Author 5: Hussain Amjad Author 6: Asad Islam Author 7: Alireza Mazinani Author 8: Syed Muhammad Tayyab Shah

Underwater Wireless Sensor Networks (UWSNs) face challenges regarding high propagation delay, limited bandwidth, 3D topology and excessive energy consumptions. In this paper, a routing scheme with circular field is proposed for an efficient collection of data packets by using two mobile sinks in UWSNs. Results of proposed scheme are compared… Read full abstract & cite →

Component underwater wireless sensor networks mobile sink routing scheme circlular field

Abstract doi.org/10.14569/IJACSA.2020.0110828 PDF

29

A Comparative Analysis of Data Mining Techniques on Breast Cancer Diagnosis Data using WEKA Toolbox

Author 1: Majdah Alshammari Author 2: Mohammad Mezher

Breast cancer is considered the second most common cancer in women compared to all other cancers. It is fatal in less than half of all cases and is the main cause of mortality in women. It accounts for 16% of all cancer mortalities worldwide. Early diagnosis of breast cancer increases… Read full abstract & cite →

Data mining breast cancer data mining techniques classification WEKA toolbox

Abstract doi.org/10.14569/IJACSA.2020.0110829 PDF

30

Performance Analysis of Efficient Pre-trained Networks based on Transfer Learning for Tomato Leaf Diseases Classification

Author 1: Sawsan Morkos Gharghory

Early diagnosis and accurate identification to tomato leaf diseases contribute on controlling the diffusion of infection and guarantee healthy to the plant which in role result in increasing the crop harvest. Nine common types of tomato leaf diseases have a great effect on the quality and quantity of tomato crop… Read full abstract & cite →

Deep learning Alex squeeze VGG16 networks tomato leaf diseases diagnosis and classification

Abstract doi.org/10.14569/IJACSA.2020.0110830 PDF

31

A New Big Data Architecture for Real-Time Student Attention Detection and Analysis

Author 1: Tarik Hachad Author 2: Abdelalim Sadiq Author 3: Fadoua Ghanimi

Big Data technologies and their analytical methods can help improve the quality of education. They can be used to process and analyze classroom video streams to predict student attention, this would greatly improve the learning-teaching experience. With the increasing number of students and the expansion of educational institutions, processing and… Read full abstract & cite →

Attention detection big data analysis stream processing real-time processing Apache Flink Apache Spark Apache Storm Lambda architecture Kappa architecture

Abstract doi.org/10.14569/IJACSA.2020.0110831 PDF

32

Analysis of K-means, DBSCAN and OPTICS Cluster Algorithms on Al-Quran Verses

Author 1: Mohammed A. Ahmed Author 2: Hanif Baharin Author 3: Puteri N.E. Nohuddin

Chapter Al-Baqarah is the longest chapter in the Holy Quran, and it covers various topics. Al-Quran is the primary text of Islamic faith and practice. Millions of Muslims worldwide use Al - Quran as their reference book, and it, therefore, helps Muslims and Islamic scholars as guidance of the law… Read full abstract & cite →

K-means DBSCAN OPTICS Al-Baqarah clustering Silhouette Coefficient Tafseer text clustering

Abstract doi.org/10.14569/IJACSA.2020.0110832 PDF

33

Image Restoration based on Maximum Entropy Method with Parameter Estimation by Means of Annealing Method

Author 1: Kohei Arai

Image restoration based on Maximum Entropy Method (MEM) with parameter estimation by means of annealing method is proposed. The proposed method allows spatial resolution enhancement. Using overlap sampling with a low resolution of sensor, high spatial resolution (corresponding to the sampling interval) can be achieved through ground data processing with… Read full abstract & cite →

Image restoration Maximum Entropy Method (MEM) annealing Advanced Very High Resolution Radiometer (AVHRR) Conjugate Gradient Method (CGM)

Abstract doi.org/10.14569/IJACSA.2020.0110833 PDF

34

Design and Implementation of 6LoWPAN Application: A Performance Assessment Analysis

Author 1: Nin Hayati Mohd Yusoff Author 2: Nurul Azma Zakaria Author 3: Adil Hidayat Rosli

Industrial Revolution 4.0 promises an overall improvement to the communications technology by improving on the quality and flexibility of IoT application deployment. Currently, most of these applications are embedded devices from various manufacturers, networks, and technologies. As such, it would be total chaos of just getting the various and myriad… Read full abstract & cite →

6LoWPAN protocol performance analysis overhead

Abstract doi.org/10.14569/IJACSA.2020.0110834 PDF

35

An Automated Framework for Detecting Change in the Source Code and Test Case Change Recommendation

Author 1: Niladri Shekar Dey Author 2: Purnachand Kollapudi Author 3: M V Narayana Author 4: I Govardhana Rao

Improvements and acceleration in software development has contributed towards high quality services in all domains and all fields of industry causing increasing demands for high quality software developments. In order to match with the high-quality software development demands, the software development industry is adopting human resources with high skills, advanced… Read full abstract & cite →

Change detection pre-requisite detection feature detection functionality detection and test case change recommendation

Abstract doi.org/10.14569/IJACSA.2020.0110835 PDF

36

Investigating Transmission Power Control Strategy for Underwater Wireless Sensor Networks

Author 1: Syed Agha Hassnain Mohsan Author 2: Hussain Amjad Author 3: Alireza Mazinani Author 4: Sahibzada Adil Shahzad Author 5: Mushtaq Ali Khan Author 6: Asad Islam Author 7: Arfan Mahmood Author 8: Ahmad Soban

Underwater wireless sensor network (UWSN) has proven its high stature in both civil and military operations including underwater life monitoring, communication and invasion detection. However, UWSNs are vulnerable to a wide class of power consumption issues. Underwater sensor nodes consume power provided by integrated limited batteries. It is a challenging… Read full abstract & cite →

Component underwater wireless sensor networks transmission power sensor power consumption

Abstract doi.org/10.14569/IJACSA.2020.0110836 PDF

37

Attendance System using Machine Learning-based Face Detection for Meeting Room Application

Author 1: Rahmat Muttaqin Author 2: Nopendri Author 3: Syifaul Fuada Author 4: Eueung Mulyana

In a modern meeting room, a smart system to make attendance quickly is mandatory. Most of the existing systems perform manual attendance, such as registration and fingerprint. Despite the fingerprint method can reject the Unknown person and give the grant access to the Known person, it will take time to… Read full abstract & cite →

Detection face IoT meeting room attendance

Abstract doi.org/10.14569/IJACSA.2020.0110837 PDF

38

Combined Text Mining: Fuzzy Clustering for Opinion Mining on the Traditional Culture Arts Work

Author 1: Elta Sonalitha Author 2: Anis Zubair Author 3: Priyo Dari Molyo Author 4: Salnan Ratih Asriningtias Author 5: Bambang Nurdewanto Author 6: Bondhan Rio Prambanan Author 7: Irfan Mujahidin

The Indonesian government is currently intensifying work programs in the field of traditional arts and culture. In order to realize the promotion of the country's culture, the government has enacted a law on cultural promotion. One indicator of the achievement of the promotion of culture, among others, with the collection… Read full abstract & cite →

Text mining opinion mining fuzzy clustering arts work

Abstract doi.org/10.14569/IJACSA.2020.0110838 PDF

39

Increasing User Satisfaction of Mobile Commerce using Usability

Author 1: Ninyikiriza Deborah Lynn Author 2: Arefin Islam Sourav Author 3: Djoko Budiyanto Setyohadi

Online shopping continues to simplify people’s way of life in the present world. People no longer need to physically visit stores to buy items for home use or other purposes. This can be done online using mobile applications to order for preferred items, which can be delivered in return. However… Read full abstract & cite →

Usability usability testing mobile commerce mobile application

Abstract doi.org/10.14569/IJACSA.2020.0110839 PDF

40

Recognition of Local Birds of Bangladesh using MobileNet and Inception-v3

Author 1: Md. Mahbubur Rahman Author 2: Al Amin Biswas Author 3: Aditya Rajbongshi Author 4: Anup Majumder

Recognition of bird species can be a challenging task due to various complex factors. The purpose of this work is to distinguish various local bird species of Bangladesh from the image data. The MobileNet and Inception-v3 model which is mainly an image classification model used here to accomplish this work… Read full abstract & cite →

Recognition MobileNet Inception-v3 transfer learning computer vision Bangladeshi bird

Abstract doi.org/10.14569/IJACSA.2020.0110840 PDF

41

EDES-ACM: Enigma Diagonal Encryption Standard Access Control Model for Data Security in Cloud Environment

Author 1: Sameer Author 2: Harish Rohil

The data management across the different domains is the foremost requirement for many organizations universally. The organization establishes the cloud computing paradigm to handle the data effectively due to its robust scaling at a low cost. In recent times the usage of cloud and its data is increasing with the… Read full abstract & cite →

Cloud security multiuser EDES-ACM computation cost

Abstract doi.org/10.14569/IJACSA.2020.0110841 PDF

42

Detecting Health-Related Rumors on Twitter using Machine Learning Methods

Author 1: Faisal Saeed Author 2: Wael M.S. Yafooz Author 3: Mohammed Al-Sarem Author 4: Essa Abdullah Hezzam

Nowadays, the huge usage of internet leads to tremendous information growth as a result of our daily activities that deal with different sources such as news articles, forums, websites, emails and social media. Social media is a rich source of information that deeply affect users by its useful content. However… Read full abstract & cite →

Health-related misinformation cancer disease fake information Twitter classification formatting

Abstract doi.org/10.14569/IJACSA.2020.0110842 PDF

43

A Novel Low Power, Minimal Dead Zone Digital PFD for Biomedical Applications

Author 1: Sudhakiran Gunda Author 2: Ernest Ravindran R. S

Chronic diseases and rising aging populations are the major reasons towards the usage of low power, low noise, life time performance Biomedical Implantable Devices. Efficient architectural designs will be responsible for the requirements set out above. This paper focuses on the ADPLL DPFD architecture for implantable biomedical devices. For high… Read full abstract & cite →

Biomedical Implantable Device (BIMD) Digital Phase Frequency Detector (DPFD) Digital Controlled Oscillator (DCO) Sense Amplifier Based Flip-flop (SAFF) NIKSTRO or SURAV

Abstract doi.org/10.14569/IJACSA.2020.0110843 PDF

44

Comprehensive Interaction Model for Cloud Management

Author 1: Md. Nasim Adnan Author 2: Md. Majharul Haque Author 3: Mohammad Rifat Ahmmad Rashid Author 4: Mohammod Akbar Kabir Author 5: Abu Sadat Mohammad Yasin Author 6: Muhammad Shakil Pervez

Cloud computing is readily being adopted by enterprises due to its following benefits: ability to provide better service to customers, improved flexibility, lower barrier to entry for an enterprise, lower maintenance cost on IT service, availability etc. However, the interaction between cloud service provider and customer is not well-defined yet… Read full abstract & cite →

Cloud computing cloud management cloud customer

Abstract doi.org/10.14569/IJACSA.2020.0110844 PDF

45

Determining the Presence of Metabolic Pathways using Machine Learning Approach

Author 1: Yara Saud Aljarbou Author 2: Fazilah Haron

The reconstruction of the metabolic network of an organism based on its genome sequence is a key challenge in systems biology. One of the strategies that can be used to address this problem is the prediction of the presence or the absence of a metabolic pathway from a reference database… Read full abstract & cite →

Metabolic pathway prediction pathway dataset metabolic network of organism machine learning support vector machine

Abstract doi.org/10.14569/IJACSA.2020.0110845 PDF

46

Intelligent and Scalable IoT Edge-Cloud System

Author 1: Shifa Manihar Author 2: Tasneem Bano Rehman Author 3: Ravindra Patel Author 4: Sanjay Agrawal

Scalability is an utter compulsory for the success of the IoT’s unprecedentedly growing network. The operational and financial bottlenecks allied with growth can be overwhelming for those peeping to integrate IoT solutions. As the IoT technology proceeds, so is the scale of operations desired to arrive at a wider target… Read full abstract & cite →

Scalability internet of things self organizing map edge horizontal scalability

Abstract doi.org/10.14569/IJACSA.2020.0110846 PDF

47

Scalable Asymmetric Security Mechanism for Internet of Things

Author 1: Ayesha Siddiqa Author 2: Sohail Ahmed

The Internet of things stances rigorous demands on excellence of quality and the vitality of security. It becomes vital to provide an extremely reliable encryption algorithm with less complexity and computational expense in IoT paradigm. Most of the protocols designed in past for communication between sender and the receiver based… Read full abstract & cite →

Asymmetric cryptography confidentiality internet of things security

Abstract doi.org/10.14569/IJACSA.2020.0110847 PDF

48

A Framework for Brain Tumor Segmentation and Classification using Deep Learning Algorithm

Author 1: Sunita M. Kulkarni Author 2: G. Sundari

The brain tumor is a cluster of the abnormal tissues, and it is essential to categorize brain tumors for treatment using Magnetic Resonance Imaging (MRI). The segmentation of tumors from brain MRI is understood to be complicated and also crucial tasks. It can be further use in surgery, medical preparation… Read full abstract & cite →

Brain MRI segmentation CNN deep learning transfer learning

Abstract doi.org/10.14569/IJACSA.2020.0110848 PDF

49

Movie Rating Prediction using Ensemble Learning Algorithms

Author 1: Zahabiya Mhowwala Author 2: A. Razia Sulthana Author 3: Sujala D. Shetty

Over the last few decades, social media platforms have gained a lot of popularity. People of all ages, gender, and areas of life have their presence on at least one of the social platforms. The data that is generated on these platforms has been and is being used for better… Read full abstract & cite →

Machine learning ensemble learning random forest algorithm XGBoost movie rating prediction

Abstract doi.org/10.14569/IJACSA.2020.0110849 PDF

50

A Comparative Study of Microservices-based IoT Platforms

Author 1: Badr El Khalyly Author 2: Abdessamad Belangour Author 3: Mouad Banane Author 4: Allae Erraissi

Internet of Things (IoT) is a set of technologies that aim at fitting together smart devices and applications to build an IoT ecosystem. The target of this kind of ecosystem is to enhance interaction between machines and humans through hardware to software binding while reducing cost and resource consumption. On… Read full abstract & cite →

IoT platforms microservices WSM method IoT architecture smart devices

Abstract doi.org/10.14569/IJACSA.2020.0110850 PDF

51

Weight Prediction System for Nile Tilapia using Image Processing and Predictive Analysis

Author 1: Lean Karlo S. Tolentino Author 2: Celline P. De Pedro Author 3: Jatt D. Icamina Author 4: John Benjamin E. Navarro Author 5: Luigi James D. Salvacion Author 6: Gian Carlo D. Sobrevilla Author 7: Apolo A. Villanueva Author 8: Timothy M. Amado Author 9: Maria Victoria C. Padilla Author 10: Gilfred Allen M. Madrigal

Fish farmers are likely to cultivate poor quality fish to accommodate the rising demands for food due to the ever-increasing population. Fish growth monitoring greatly helps on producing higher quality fish products which leads to a better impact in the aquatic animal food production industry. However, monitoring through manual weighing… Read full abstract & cite →

Fish growth Tilapia image processing predictive analysis weight prediction

Abstract doi.org/10.14569/IJACSA.2020.0110851 PDF

52

Detection of Plant Disease on Leaves using Blobs Detection and Statistical Analysis

Author 1: N. S. A. M Taujuddin Author 2: A.I.A Mazlan Author 3: R. Ibrahim Author 4: S. Sari Author 5: A. R. A Ghani Author 6: N. Senan Author 7: W.H.N.W Muda

Plant is exposed to many attacks from various micro-organism, bacterial disease and pests. The symptoms of the attacks are usually distinguished through the leaves, stem or fruit inspection. Disease that are commonly attack plants are Powdery Mildew and Leaf Blight and it may cause severe damaged if not controlled in… Read full abstract & cite →

Image processing blob detection edge detection statistical analysis disease detection

Abstract doi.org/10.14569/IJACSA.2020.0110852 PDF

53

IoT based Automatic Damaged Street Light Fault Detection Management System

Author 1: Ashok Kumar Nanduri Author 2: Siva Kumar Kotamraju Author 3: G L Sravanthi Author 4: Sadhu Ratna Babu Author 5: K V K V L Pavan Kumar

The IoT (Internet of Things) is a blooming technology that mainly concentrates on the interconnection of devices or components to one another and the people. As the time being, many of these connections are changing as “Device – Device” from “Human to Device”. Finding the faulty street light automatically is… Read full abstract & cite →

IoT (Internet of Things) GSM (Global System for Mobile) LDR (Light Dependent Resistor) LED (Light-Emitting Diode) GPS (Global Positioning System) Raspberry Twilio

Abstract doi.org/10.14569/IJACSA.2020.0110853 PDF

54

Lake Data Warehouse Architecture for Big Data Solutions

Author 1: Emad Saddad Author 2: Ali El-Bastawissy Author 3: Hoda M. O. Mokhtar Author 4: Maryam Hazman

Traditional Data Warehouse is a multidimensional repository. It is nonvolatile, ‎subject-oriented, integrated, time-variant, and non-‎operational data. It is gathered from multiple ‎heterogeneous data ‎sources. We need to adapt traditional Data Warehouse architecture to deal with the new ‎challenges imposed by the abundance of data and the current big data characteristics… Read full abstract & cite →

Traditional data warehouse big data semi-structured data unstructured data novel data warehouses architecture Hadoop spark

Abstract doi.org/10.14569/IJACSA.2020.0110854 PDF

55

An Improved Ant Colony Optimization Algorithm: A Technique for Extending Wireless Sensor Networks Lifetime Utilization

Author 1: Ademola P. Abidoye Author 2: Elisha O. Ochola Author 3: Ibidun C. Obagbuwa Author 4: Desmond W. Govender

Wireless sensor networks (WSNs) are one of the most essential technologies in the 21st century due to their increase in various application areas and can be deployed in areas where cable and power supply are difficult to use. However, sensor nodes that form these networks are energy-constrained because they are… Read full abstract & cite →

Sensor nodes advanced nodes fog nodes data centre cloud computing ant colony optimization visual sensor networks

Abstract doi.org/10.14569/IJACSA.2020.0110855 PDF

56

A Flood Forecasting Model based on Wireless Sensor and Actor Networks

Author 1: Sheikh Tahir Bakhsh Author 2: Naveed Ahmed Author 3: Basit Shahzad Author 4: Mohammed Basheri

Flood forecasting is a challenging area of research that can help to save precious lives by timely intimating about the flood possibilities. The role of advancements in computing and allied technologies has moved the research towards a new horizon. Researchers from all over the world are using Artificial Neural Networks… Read full abstract & cite →

Flood forecasting GIS remote sensing hydrology particle swarm optimization

Abstract doi.org/10.14569/IJACSA.2020.0110856 PDF

57

Automatic Extraction of Rarely Explored Materials and Methods Sections from Research Journals using Machine Learning Techniques

Author 1: Kavitha Jayaram Author 2: Prakash G Author 3: Jayaram V

The scientific community is expanding by leaps and bounds every day owing to pioneering and path breaking scientific literature published in journals around the globe. Viewing as well as retrieving this data is a challenging task in today’s fast paced world. The essence and importance of scientific research papers for… Read full abstract & cite →

Data-mining rule-based machine-learning term extraction classification materials and methods acknowledgment

Abstract doi.org/10.14569/IJACSA.2020.0110857 PDF

58

Improvement of Body Movements and Stability of Blind or Visually Impaired Adults by Physical Activity using Kinect V2

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

People who are blind or low vision need to follow activities routines for their mental and physical health to minimize the risk of suffering from bleeding in articulation but they have problems due to difficulties and inaccessibility of displacement. This paper introduces and evaluate a set of exercises to improve… Read full abstract & cite →

Posture visual impaired physical exercise audio feedback Kinect body tracking balance falling

Abstract doi.org/10.14569/IJACSA.2020.0110858 PDF

59

CAREdio: Health Screening and Heart Disease Prediction System for Rural Communities in the Philippines

Author 1: Lean Karlo S. Tolentino Author 2: John Erick L. Isoy Author 3: Kayne Adriane A. Bulawan Author 4: Mary Claire T. Co Author 5: Caryl Faye C. Monreal Author 6: Ian Joshua W. Vitto Author 7: Maria Victoria C. Padilla Author 8: Jay Fel C. Quijano Author 9: Romeo Jr. L. Jorda Author 10: Jessica S. Velasco

Cardiovascular diseases cover a large quantity of worldwide disease load, setting it to top leading cause of death. In the Philippines, given the rapid economic advancement and urbanization, the most vulnerable sector has not been impacted by this development. Data from the Philippine Statistical Authority (PSA) in 2016 revealed that… Read full abstract & cite →

Cardiovascular diseases health screening disease prediction mobile application machine learning rural population

Abstract doi.org/10.14569/IJACSA.2020.0110859 PDF

60

Lean IT Transformation Plan for Information Systems Development

Author 1: Muhammad K. A. Kiram Author 2: Maryati Mohd Yusof

Information systems development (ISD) is prone to failure, which can be defined as a time-consuming and costly phenomenon that provides value that is not directly appealing to clients. While ISD can be enhanced using various tools, models, and frameworks, failures related to ISD remain to be evident and costly. These… Read full abstract & cite →

Failure lean IT information systems information systems development socio-technical waste

Abstract doi.org/10.14569/IJACSA.2020.0110860 PDF

61

Automatic Hate Speech Detection using Machine Learning: A Comparative Study

Author 1: Sindhu Abro Author 2: Sarang Shaikh Author 3: Zahid Hussain Khand Author 4: Zafar Ali Author 5: Sajid Khan Author 6: Ghulam Mujtaba

The increasing use of social media and information sharing has given major benefits to humanity. However, this has also given rise to a variety of challenges including the spreading and sharing of hate speech messages. Thus, to solve this emerging issue in social media sites, recent studies employed a variety… Read full abstract & cite →

Hate speech online social networks natural language processing text classification machine learning

Abstract doi.org/10.14569/IJACSA.2020.0110861 PDF

62

Study on Dominant Factor for Academic Performance Prediction using Feature Selection Methods

Author 1: Phauk Sokkhey Author 2: Takeo Okazaki

All educational institutions always try to investigate the learning behaviors of students and give early prediction toward student’s outcomes for interventing and improving their learning performance. Educational data mining (EDM) offers various effective prediction models to predict student performance. Simultaneously, feature selection (FS) is a method of EDM that is… Read full abstract & cite →

Educational data mining dominant factors feature selection methods prediction models student performance

Abstract doi.org/10.14569/IJACSA.2020.0110862 PDF

63

A Novel Framework for Mobile Telecom Network Analysis using Big Data Platform

Author 1: M. M. Abo Khedra Author 2: A. A. Abd EL-Aziz Author 3: Hedi HAMDI Author 4: Hesham A. Hefny

Social Network Analysis measures the interconnection between humans, entities or communities and the streaming of messages between them. This kind of Analysis studies the relationship between different people in a very deep way; it shows how one node (subscriber) in the network can affect the others. This research studies the… Read full abstract & cite →

SNA influencer acquisition community detection link prediction call detailed record on-net node off-net node

Abstract doi.org/10.14569/IJACSA.2020.0110863 PDF

64

Application of Kinect Technology and Artificial Neural Networks in the Control of Rehabilitation Therapies in People with Knee Injuries

Author 1: Bisset Gonzales Loayza Author 2: Alberto Calla Bendita Author 3: Mario Huaypuna Cjuno Author 4: Jose Sulla-Torres

In the field of physiotherapy, the recognition of the poses of the human body is obtaining more research so that the patient has an accelerated recovery rate in his rehabilitation. Nowadays, it is not so challenging to have devices like Microsoft Kinect that allow us to interact with the user… Read full abstract & cite →

Machine learning artificial neural network kinect physiotherapy rehabilitation

Abstract doi.org/10.14569/IJACSA.2020.0110864 PDF

65

Detecting Violent Radical Accounts on Twitter

Author 1: Ahmed I. A. Abd-Elaal Author 2: Ahmed Z. Badr Author 3: Hani M. K. Mahdi

In the past few years and as a result of the enormous spreading of social media platforms worldwide, many radical groups tried to invade social media cyber space in order to disseminate their ideologies and destructive plans. This brutal invasion to society daily life style must be resisted as social… Read full abstract & cite →

Machine learning ISIS Daesh extremism data mining social media Twitter

Abstract doi.org/10.14569/IJACSA.2020.0110865 PDF

66

Intelligent Tutoring Supported Collaborative Learning (ITSCL): A Hybrid Framework

Author 1: Ijaz Ul Haq Author 2: Aamir Anwar Author 3: Iqra Basharat Author 4: Kashif Sultan

Recently Intelligent Tutoring Systems (ITS) and Computer-Supported Collaborative Learning (CSCL) have got much attention in the field of computer science, artificial intelligence, cognitive psychology, and educational technologies. An ITS is a technologically intelligent system that provides an adaptive learning paradigm for an individual learner only, while CSCL is also a… Read full abstract & cite →

Intelligent Tutoring System (ITS) Computer-Supported Collaborative Learning (CSCL) Artificial Intelligence (AI) individual learning collaborative learning

Abstract doi.org/10.14569/IJACSA.2020.0110866 PDF

67

Secure Access Control Model for Cloud Computing Environment with Fuzzy Max Interval Trust Values

Author 1: Aakib Jawed Khan Author 2: Shabana Mehfuz

Cloud computing needs service provider with reliable communication for increasing the user trust. As existence of cloud depends on quality of services, evaluation of this trust value needs to be carried out by the cloud. Many of the web services provided by E-commerce, social sites, digital platform maintain this for… Read full abstract & cite →

Cloud computing encryption fuzzy logic trust computing role based access control resource management

Abstract doi.org/10.14569/IJACSA.2020.0110867 PDF

68

Improving Palmprint based Biometric System Performance using Novel Multispectral Image Fusion Scheme

Author 1: Essia Thamri Author 2: Kamel Aloui Author 3: Mohamed Saber Naceur

Nowadays, there are several identification systems which are based on different biometric modalities. In particular, multispectral images of palmprints captured in different spectral bands have a very distinctive biometric identifier. This paper proposes a novel fusion scheme of a biometric recognition system by multiSpectral palmprint. This system is composed of… Read full abstract & cite →

Biometric recognition palmprint multispectral images image fusion Log-Gabor KPCA DWT CASIA

Abstract doi.org/10.14569/IJACSA.2020.0110868 PDF

69

A Review on Research Challenges, Limitations and Practical Solutions for Underwater Wireless Power Transfer

Author 1: Syed Agha Hassnain Mohsan Author 2: Asad Islam Author 3: Mushtaq Ali Khan Author 4: Arfan Mahmood Author 5: Laraba Selsabil Rokia Author 6: Alireza Mazinani Author 7: Hussain Amjad

Wireless power transmission is the process to transmit electrical energy without using wire or any physical link. WPT is mainly used at such places where it is difficult to transfer energy using conventional wires. In this research work, we investigated the need and feasibility of wireless power transmission for underwater… Read full abstract & cite →

Underwater wireless power transfer charging MIMO AUV

Abstract doi.org/10.14569/IJACSA.2020.0110869 PDF

70

An Intermediate Representation-based Approach for Query Translation using a Syntax-Directed Method

Author 1: Hassana NASSIRI Author 2: Mustapha MACHKOUR Author 3: Mohamed HACHIMI

We aspire to make one query reasonably sufficient to extract data regardless of the data model used in our research. In such a way, users can freely use any query language they master to interrogate the heterogeneous database, not necessarily the query language associated with the model. Thus, overcoming the… Read full abstract & cite →

Data Model Relational Database eXtensible Markup Language (XML) translation model integration intermediate representation ANTLR (ANother Tool for Language Recognition)

Abstract doi.org/10.14569/IJACSA.2020.0110870 PDF

71

An Adaptive Quality Switch-aware Framework for Optimal Bitrate Video Streaming Delivery

Author 1: Wafa A. Alqhtani Author 2: Ashraf A. Taha Author 3: Maazen S. Alsabaan

Given a large number of online video viewers, video streaming, over various networks, is important communication technology. The multitude of viewers makes it challenging for service providers to provide a good viewing experience for subscribers. Video streaming capabilities are designed based on concepts including quality, viewing flexibility, changing network conditions… Read full abstract & cite →

Adaptive video streaming average bit rate mobile devices modeling quality of experience quality switches wireless networks

Abstract doi.org/10.14569/IJACSA.2020.0110871 PDF

72

A New Clustering Algorithm for Live Road Surveillance on Highways based on DBSCAN and Fuzzy Logic

Author 1: Hasanain Alabbas Author 2: Árpád Huszák

Video streaming over Vehicular Ad Hoc Networks is a promising technique (VANETs), and it has gained great importance in the last few years. The highly dynamic topology of VANETs makes high-quality video streaming very challenging. In order to provide the most useful camera views to the vehicles, clustering and cluster… Read full abstract & cite →

Vehicular ad hoc networks (VANETs) V2V intelligent transportation systems clustering algorithms road surveillance DBSCAN algorithm fuzzy logic control

Abstract doi.org/10.14569/IJACSA.2020.0110872 PDF

73

Towards an Integrated Model of Data Governance and Integration for the Implementation of Digital Transformation Processes in the Saudi Universities

Author 1: Abdulfattah Omar Author 2: Ahmed almaghthawi

In the face of the challenges of the Digital Age and the outbreak of the pandemic COVID-19 which have changed higher education institutions remarkably, universities are urgently required to speed up their digitalization initiatives and cope up with the global digital developments to survive. For the successful implementation of digital… Read full abstract & cite →

COVID-19 data governance digital transformation higher education Saudi Arabia

Abstract doi.org/10.14569/IJACSA.2020.0110873 PDF

74

Prudently Secure Information Theoretic LSB Steganography for Digital Grayscale Images

Author 1: Khan Farhan Rafat

The endangerment of online data breaches calls for exploring new and enhancing existing sneaky ways of clandestine communication to tailor those to match the present and futuristic technological and environmental needs, to which malicious intruders wouldn't have an answer. Cryptography and Steganography are the two distinct techniques that, for long… Read full abstract & cite →

Clandestine communication covert channel hiding data in plain sight inveil communication LSB steganography

Abstract doi.org/10.14569/IJACSA.2020.0110874 PDF

75

Towards Securing Cloud Computing from DDOS Attacks

Author 1: Ishtiaq Ahmed Author 2: Sheeraz Ahmed Author 3: Asif Nawaz Author 4: Sadeeq Jan Author 5: Zeeshan Najam Author 6: Muneeb Saadat Author 7: Rehan Ali Khan Author 8: Khalid Zaman

Cloud computing (CC) is an advanced technology that provides data sharing and access to computing resources. The cloud deployment model represents the exact type of cloud environment based on ownership, size, and accessibility rights, and also describes the purpose and nature of the cloud. Since all processes today are computerized… Read full abstract & cite →

Cloud computing denial of service SNORT rules network energy consumption

Abstract doi.org/10.14569/IJACSA.2020.0110875 PDF

76

An Innovative Approach of Verification Mechanism for both Electronic and Printed Documents

Author 1: Md. Majharul Haque Author 2: Md. Nasim Adnan Author 3: Mohammod Akbar Kabir Author 4: Mohammad Rifat Ahmmad Rashid Author 5: Abu Sadat Mohammad Yasin Author 6: Muhammad Shakil Pervez

Documents are inevitably relevant in our day-to-day life. Forgery of document could have severe repercussions including financial losses, misjudgments, damage of respect, goodwill, etc. Hence, documents need to be secured from threats such as counterfeiting, falsification, tempering etc., and there should be an easy way of verification about the originality… Read full abstract & cite →

Document verification integrity non-repudiation blockchain printed documents

Abstract doi.org/10.14569/IJACSA.2020.0110876 PDF

77

Feature Expansion using Lexical Ontology for Opinion Type Detection in Tourism Reviews Domain

Author 1: Lim Jie Chen Author 2: Gan Keng Hoon

Tourism reviews platform such as Trip Advisor become a major source for tourists to share their experiences and get some ideas for decision making. Since there are millions of reviews generated daily in the travel websites, tourist is often overwhelmed with huge information. This is where opinion type detection is… Read full abstract & cite →

Tourism domain online review opinion type detection text classification lexical ontology

Abstract doi.org/10.14569/IJACSA.2020.0110877 PDF

78

A Novel Approach for Computer Assisted Sleep Scoring Mechanism using ANN

Author 1: Hemu Farooq Author 2: Anuj Jain Author 3: V.K. Sharma Author 4: Iflah Aijaz Author 5: Sheikh Mohammad Idrees

Sleep analysis and its categories in sleep scoring system is considered to be helpful in an area of sleep research and sleep medicine. The scheduled study employs novel approach for computer assisted automated sleep scoring system using physiological signals and Artificial neural network. The data collected were recorded for seven… Read full abstract & cite →

Sleep scoring stages EEG EMG EOG artificial neural network

Abstract doi.org/10.14569/IJACSA.2020.0110878 PDF

79

Cloud of Things (CoT) based Parking Prediction

Author 1: Nazish Razzaq Author 2: Muhammad Asaad Subih Author 3: Madiha Khatoon Author 4: Amir Razi Author 5: Babur Hayat Malik Author 6: Nimra Ashraf Author 7: Tehseen Kausar Author 8: Rashida Tarrar Author 9: Muhammad Usman Sabir Author 10: Syed Izaz ul Hassan Bukhari

Cloud computing with an amalgamation of the internet of things (IoT) typically gave birth to an ideal field called Cloud of things (CoT). CoT maintains revolutionary services in every domain, but it has instantly become a rising star in smart transportation because a well-organized facility might present a challenge for… Read full abstract & cite →

Cloud computing internet of things (IoT) parking prediction availability Estimated Time of Arrival (ETA) Geofence Geographic Information System (GIS)

Abstract doi.org/10.14569/IJACSA.2020.0110879 PDF

80

xMatcher: Matching Extensible Markup Language Schemas using Semantic-based Techniques

Author 1: Aola Yousfi Author 2: Moulay Hafid El Yazidi Author 3: Ahmed Zellou

Schema matching is a critical step in data inte-gration systems. Most recent schema matching systems require a manual double-check of the matching results to add missed matches and remove incorrect matches. Manual correction is labor-intensive and time-consuming, however without it the results accuracy is significantly lower. In this paper, we… Read full abstract & cite →

Schema matching matching accuracy semantic similarity semantic relatedness WordNet

Abstract doi.org/10.14569/IJACSA.2020.0110880 PDF

81

Performance Analysis of a Graph-Theoretic Load Balancing Method for Data Centers

Author 1: Walaa M. AlShammari Author 2: Mohammed J.F. Alenazi

Modern data centers can process a massive amount of data in a short time with minimal errors. Data center networks (DCNs) use equal-cost, multi-path topologies to deliver split flows across alternative paths between the core layer and hosted servers, which could lead to significant overload if path scheduling is inefficient… Read full abstract & cite →

Data center load balancing path diversity network management load management throughput topology performance metrics betweenness centrality flow scheduling modeling DCNs

Abstract doi.org/10.14569/IJACSA.2020.0110881 PDF

82

Extending Shared-Memory Computations to Multiple Distributed Nodes

Author 1: Waseem Ahmed

With the emergence of accelerators like GPUs, MICs and FPGAs, the availability of domain specific libraries (like MKL) and the ease of parallelization associated with CUDA and OpenMP based shared-memory programming, node-based parallelization has recently become a popular choice among developers in the field of scientific computing. This is evident… Read full abstract & cite →

GPU OpenMP shared memory programming distributed programming CUDA

Abstract doi.org/10.14569/IJACSA.2020.0110882 PDF

83

Deep Learning Approach for Forecasting Water Quality in IoT Systems

Author 1: Nguyen Thai-Nghe Author 2: Nguyen Thanh-Hai Author 3: Nguyen Chi Ngon

Global climate change and water pollution effects have caused many problems to the farmers in fish/shrimp raising, for example, the shrimps/fishes had early died before harvest. How to monitor and manage quality of the water to help the farmers tackling this problem is very necessary. Water quality monitoring is important… Read full abstract & cite →

Forecasting model deep learning Long-Short Term Memory (LSTM) water quality indicators

Abstract doi.org/10.14569/IJACSA.2020.0110883 PDF

84

A Complete Methodology for Kuzushiji Historical Character Recognition using Multiple Features Approach and Deep Learning Model

Author 1: Aravinda C. V Author 2: Lin Meng Author 3: ATSUMI Masahiko Author 4: Udaya Kumar Reddy K.R Author 5: Amar Prabhu G

As per the studies during many decades, substantial research efforts have been devoting towards character recogni-tion. This task is not so easy as it it appears; in fact humans’ have error rate about more than 6%, while reading the handwritten characters and recognizing. To solve this problem an effort has… Read full abstract & cite →

Kuzushiji character zonal features structural features invariant moments

Abstract doi.org/10.14569/IJACSA.2020.0110884 PDF

85

Impact Analysis of Network Layer Attacks in Real-Time Wireless Sensor Network Testbed

Author 1: Navjot Sidhu Author 2: Monika Sachdeva

With the rapid increase in the demand for Wireless Sensor Network (WSN) applications. The intrusive activities are also raised. To save these networks from the intruders it is required to understand the implications of any malicious act. Most of the researchers have utilized simulated software to understand the impact of… Read full abstract & cite →

Attack impact performance real-time Wireless Sensor Network (WSN)

Abstract doi.org/10.14569/IJACSA.2020.0110885 PDF

86

Deep Learning with Data Transformation and Factor Analysis for Student Performance Prediction

Author 1: Tran Thanh Dien Author 2: Sang Hoai Luu Author 3: Nguyen Thanh-Hai Author 4: Nguyen Thai-Nghe

Student performance prediction is one of the most concerning issues in the field of education and training, especially educational data mining. The prediction supports students to select courses and design appropriate study plans for themselves. Moreover, student performance prediction enables lecturers as well as educational managers to indicate what students… Read full abstract & cite →

Deep learning student performance mark prediction Long Short Term Memory (LSTM) Convolutional Neural Networks (CNN) data pre-processing multidisciplinary university

Abstract doi.org/10.14569/IJACSA.2020.0110886 PDF

87

Scalability Validation of the Posting Access Method through UPPAAL-SMC Model-Checker

Author 1: Bethaina Touijer Author 2: Yann Ben Maissa Author 3: Salma Mouline

The standard IEEE 802.15.6 provides a new phys-ical layer (PHY) and medium access control sublayer (MAC) specifications that support several challenges of wireless body area networks (WBANs). The posting is the access method of the IEEE 802.15.6 MAC protocol that is used by the hub to send data to the… Read full abstract & cite →

WBANs IEEE 802.15.6 MAC protocol posting access method UPPAAL-SMC energy consumption throughput

Abstract doi.org/10.14569/IJACSA.2020.0110887 PDF

88

A Prototype of an Automatic Irrigation System fo Peruvian Crop Fields

Author 1: Luis Nunez-Tapia

Water is an important factor to sustain life and for such a reason it is necessary to take care of it since this is a limited resource. In Peruvian agriculture; however, there is a high percentage of water wasted, as this activity consumes 92%of fresh water; thus, making Peru the… Read full abstract & cite →

Automatic irrigation crop fields Arduino bluetooth

Abstract doi.org/10.14569/IJACSA.2020.0110888 PDF

89

Non-invasive Device to Lessen Tremors in the Hands due to Parkinson’s Disease

Author 1: Juan Hinostroza-Quinones Author 2: Manuel Vasquez-Cunia

One of the severe neurological disorders that affects the central nervous system is Parkinson’s disease, which causes that patients can not perform routine tasks such as eating and writing. According to statistical data, there are more than 10 million people in the world who suffer from this disease and the… Read full abstract & cite →

Parkinson non-invasive device vibrations Arduino

Abstract doi.org/10.14569/IJACSA.2020.0110889 PDF

90

Evaluating the Quality of a Person’s Calligraphy using Image Recognition

Author 1: Aaron Walter Avila Cordova Author 2: Armando Flores Choque Author 3: Joseph Clinthon Paucar Nuñez

The problem of not developing good handwriting as a child has serious consequences for learning, these range from training human memory to the capacity for innovation. To assess the quality of a person’s handwriting, it is necessary to process large amounts of images and with current improvements in machine learning… Read full abstract & cite →

Calligraphy image processing character recognition

Abstract doi.org/10.14569/IJACSA.2020.0110890 PDF

91

Nitrogen Fertilizer Recommendation for Paddies through Automating the Leaf Color Chart (LCC)

Author 1: Torikul Islam Author 2: Rafsan Uddin Beg Rizan Author 3: Yeasir Arefin Tusher Author 4: Md Shafiuzzaman Author 5: Md. Alam Hossain Author 6: Syed Galib

Nitrogen fertilizer is inevitable for rice production to ensure that the crop’s nitrogen need is adequately supplied, during the growing season. International Rice Research Institute (IRRI) has proposed Leaf Color Chart (LCC) to detect the exact nitrogen need of paddy. Farmers generally monitor the plant’s growth (which is also an… Read full abstract & cite →

Leaf Color Chart (LCC) Convolutional Neural Net-work (CNN) fertilizer recommendation system color classification Decision Tree (DT)

Abstract doi.org/10.14569/IJACSA.2020.0110891 PDF

92

Performance Comparison of Natural Language Understanding Engines in the Educational Domain

Author 1: Victor Juan Jimenez Flores Author 2: Oscar Juan Jimenez Flores Author 3: Juan Carlos Jimenez Flores Author 4: Juan Ubaldo Jimenez Castilla

Recently, chatbots are having a great importance in different domains and are becoming more and more common in customer service. One possible cause is the wide variety of platforms that offer the natural language understanding as a service, for which no programming skills are required. Then, the problem is related… Read full abstract & cite →

Chatbot natural language understanding NLU F1 score performance

Abstract doi.org/10.14569/IJACSA.2020.0110892 PDF

93

Date Grading using Machine Learning Techniques on a Novel Dataset

Author 1: Hafsa Raissouli Author 2: Abrar Ali Aljabri Author 3: Sarah Mohammed Aljudaibi Author 4: Fazilah Haron Author 5: Ghada Alharbi

Dates grading is a crucial stage in the dates’ facto-ries. However, it is done manually in most of the Middle Eastern industries. This study, using a novel dataset, identifies the suitable machine learning techniques to grade dates based on the image of the date. The dataset consists of three different… Read full abstract & cite →

Date grading machine learning k-nearest neigh-bor support vector machine convolutional neural network

Abstract doi.org/10.14569/IJACSA.2020.0110893 PDF

94

Robust Control and Fuzzy Logic Guidance for an Unmanned Surface Vehicle

Author 1: Marcelo M. Huayna-Aguilar Author 2: Juan C. Cutipa-Luque Author 3: Pablo Raul Yanyachi

This work deals with guidance and control of an unmanned surface vehicle which has the mission to monitor au-tonomously the water quality condition in Peruvian sea onshore. The vehicle is a catamaran class with two slender bodies propelled by two electric thrusts in differential and common modes in order to… Read full abstract & cite →

Robust control guidance fuzzy unmanned surface vehicle

Abstract doi.org/10.14569/IJACSA.2020.0110894 PDF

95

Passenger Communication System for Next-Generation Self-Driving Cars: A Buddy

Author 1: M Talha Bin Ahmed Lodhi Author 2: Faisal Riaz Author 3: Yasir Mehmood Author 4: Muhammad Farrukh Farid Author 5: Abdul Ghafoor Dar Author 6: Muhammad Atif Butt Author 7: Samia Abid Author 8: Hasan Ali Asghar

With the rapid emergence of autonomous vehicles, there is a need to build such communication systems which help the passengers to communicate with autonomous vehicles (AVs) robustly. In this regard, this research work presents a multimodal passenger communication system. The communica-tion system is known as “buddy" for AVs. Buddy is… Read full abstract & cite →

Autonomous Vehicles (AVs) passenger communi-cation system the simulation engine

Abstract doi.org/10.14569/IJACSA.2020.0110895 PDF

96

A Hybrid Model based on Radial basis Function Neural Network for Intrusion Detection

Author 1: Marwan Albahar Author 2: Ayman Alharbi Author 3: Manal Alsuwat Author 4: Hind Aljuaid

An Intrusion Detection System (IDS) is a system that monitors the network for identifying malicious activities. Upon identifying the unusual activities, IDS sends a notification to the network administrators to warn about the hackers’ hostile activities. To detect intrusion, signature-based systems are consid-ered to be one of the most effective… Read full abstract & cite →

Intrusion detection neural network radial basis function directed batch growing self-organizing map

Abstract doi.org/10.14569/IJACSA.2020.0110896 PDF