IJACSA Vol. 10 Issue 3 (2019)

1

LSB based Image Steganography by using the Fast Marching Method

Author 1: Xiaoli Huan Author 2: Hong Zhou Author 3: Jiling Zhong

This paper presents a novel approach for image steganography based on the Least Significant Bit (LSB) method. Most traditional LSB methods choose the initial embedding location of the cover image randomly, and the secret messages are embedded sequentially without considering the image pixels’ values and positions. Our approach utilizes the… Read full abstract & cite →

Image steganography LSB the fast marching method coordinates PSNR

Abstract doi.org/10.14569/IJACSA.2019.0100301 PDF

2

Developing Deep Learning Models to Simulate Human Declarative Episodic Memory Storage

Author 1: Abu Kamruzzaman Author 2: Charles C. Tappert

Human like visual and auditory sensory devices became very popular in recent years through the work of deep learning models that incorporate aspects of brain processing such as edge and line detectors found in the visual cortex. However, very little work has been done on the human memory, and thus… Read full abstract & cite →

Convolutional neural network long short term memory Variational Autoencoder deep learning memory model machine learning

Abstract doi.org/10.14569/IJACSA.2019.0100302 PDF

3

Automatic Control of Colonoscope Movement for Modern Colonoscopy

Author 1: Helga Silaghi Author 2: Viorica Spoiala Author 3: Alexandru Marius Silaghi Author 4: Tiberia Ioana Ilias Author 5: Cornelia Gyorödi Author 6: Claudiu Costea Author 7: Sanda Dale Author 8: Ovidiu Cristian Fratila

The paper presents the mathematical realization of the trajectory that the colonoscope should have in the medical intervention, as well as the mathematical demonstration of the functions that make up the colonoscope. The goal of this work is finding a method for reducing the medical doctor's effort, by using intelligent… Read full abstract & cite →

Intelligent control colonoscope movement classical colonoscopy mathematical model

Abstract doi.org/10.14569/IJACSA.2019.0100303 PDF

4

Performance Analysis of Open Source Solution "ntop" for Active and Passive Packet Analysis Relating to Application and Transport Layer

Author 1: Sirajuddin Qureshi Author 2: Dr Gordhan Das Author 3: Saima Tunio Author 4: Faheem Ullah Author 5: Ahsan Nazir Author 6: Ahsan Wajahat

A key issue facing operators around the globe is the most appropriate way to deal with spotting black in networks. For this purpose, the technique of passive network monitoring is very appropriate; this can be utilized to deal with incisive problems within individual network devices, problems relating to the whole… Read full abstract & cite →

ntop network monitoring packet analysis the application layer transport layer

Abstract doi.org/10.14569/IJACSA.2019.0100304 PDF

5

Achieving Flatness: Honeywords Generation Method for Passwords based on user behaviours

Author 1: Omar Z Akif Author 2: Ann F. Sabeeh Author 3: G. J. Rodgers Author 4: H. S. Al-Raweshidy

Honeywords (decoy passwords) have been proposed to detect attacks against hashed password databases. For each user account, the original password is stored with many honeywords in order to thwart any adversary. The honeywords are selected deliberately such that a cyber-attacker who steals a file of hashed passwords cannot be sure… Read full abstract & cite →

Honeywords user behaviours worst password list dictionary attack

Abstract doi.org/10.14569/IJACSA.2019.0100305 PDF

6

Robust Recurrent Cerebellar Model Articulation Controller for Non-Linear MIMO Systems

Author 1: Xuan-Kien Dang Author 2: Van-Phuong Ta

This research proposes a robust recurrent cerebellar model articulation control system (RRCMACS) for MIMO non-linear systems to achieve the robustness of the system during operation. In this system, the superior properties of the recurrent cerebellar model articulation controller (RCMAC) are incorporated to imitate an ideal sliding mode controller. The robust… Read full abstract & cite →

Robust controller MIMO non-linear systems linear piezoelectric motor (LPM) recurrent network Cerebellar model articulation controller

Abstract doi.org/10.14569/IJACSA.2019.0100306 PDF

7

Empirical Assessment of Ensemble based Approaches to Classify Imbalanced Data in Binary Classification

Author 1: Prabhjot Kaur Author 2: Anjana Gosain

Classifying imbalanced data with traditional classifiers is a huge challenge now-a-days. Imbalance data is a situation wherein the ratio of data within classes is not same. Many real life situations deal with such problems e.g. Web spam detection, Credit card frauds, and Fraudulent telephone calls. The problem exists everywhere when… Read full abstract & cite →

Ensemble approaches boosting bagging hybrid ensembles imbalanced data-sets classification

Abstract doi.org/10.14569/IJACSA.2019.0100307 PDF

8

Applying Diffie-Hellman Algorithm to Solve the Key Agreement Problem in Mobile Blockchain-based Sensing Applications

Author 1: Nsikak Pius Owoh Author 2: Manmeet Mahinderjit Singh

Mobile blockchain has achieved huge success with the integration of edge computing services. This concept, when applied in mobile crowd sensing, enables transfer of sensor data from blockchain clients to edge nodes. Edge nodes perform proof-of-work on sensor data from blockchain clients and append validated data to the chain. With… Read full abstract & cite →

Internet of Things mobile crowd sensing edge computing sensor data encryption mining smart contract

Abstract doi.org/10.14569/IJACSA.2019.0100308 PDF

9

Optimizing the Hyperparameter of Feature Extraction and Machine Learning Classification Algorithms

Author 1: Sani Muhammad Isa Author 2: Rizaldi Suwandi Author 3: Yosefina Pricilia Andrean

The process of assigning a quantitative value to a piece of text expressing a mood or effect is called Sentiment analysis. Comparison of several machine learning, feature extraction approaches, and parameter optimization was done to achieve the best accuracy. This paper proposes an approach to extracting comparison value of sentiment… Read full abstract & cite →

Sentiment analysis word2vec TF-IDF (terms frequency-inverse document frequency) Doc2vec grid search

Abstract doi.org/10.14569/IJACSA.2019.0100309 PDF

10

Stabilizing Average Queue Length in Active Queue Management Method

Author 1: Mahmoud Baklizi

This paper proposes the Stabilized (DGRED) method for congestion detection at the router buffer. This method aims to stabilize the average queue length between allocated minthre_shold and doublemaxthre_shold positions to increase the network performance. The SDGRED method is simulated and compared with Gentle Random Early Detection (GRED) and Dynamic GRED… Read full abstract & cite →

Congestion control methods GRED dynamic GRED random simulation active queue management method

Abstract doi.org/10.14569/IJACSA.2019.0100310 PDF

11

Survey on Human Activity Recognition based on Acceleration Data

Author 1: Salwa O. Slim Author 2: Ayman Atia Author 3: Marwa M.A. Elfattah Author 4: Mostafa-Sami M.Mostafa

Human activity recognition is an important area of machine learning research as it has many utilization in different areas such as sports training, security, entertainment, ambient-assisted living, and health monitoring and management. Studying human activity recognition shows that researchers are interested mostly in the daily activities of the human. Therefore… Read full abstract & cite →

Human activity recognition accelerometer online system offline system traditional machine learning deep learning

Abstract doi.org/10.14569/IJACSA.2019.0100311 PDF

12

A Systematic Review of Domains, Techniques, Delivery Modes and Validation Methods for Intelligent Tutoring Systems

Author 1: Aized Amin Soofi Author 2: Moiz Uddin Ahmed

An Intelligent Tutoring System (ITS) is a computer software that help students in learning educational or academics concepts in customized environment. ITSs are instructional systems that have capability to facilitate user by providing instantaneous feedback and instructions without any human intervention. The advancement of new technologies has integrated computer based… Read full abstract & cite →

ITS intelligent tutoring system intelligent learning adaptive learning intelligent tutoring ITS review

Abstract doi.org/10.14569/IJACSA.2019.0100312 PDF

13

Personalized Recommender by Exploiting Domain based Expert for Enhancing Collaborative Filtering Algorithm :PReC

Author 1: Mrs.M Sridevi Author 2: Dr.R.Rajeswara Rao

The large amount of information available on the internet initiated various Recommender algorithms to act as an intermediate between number of choices and internet users. Collaborative filtering is one of the most traditional and intensively used recommendation approaches for many commercial services. Despite providing satisfying outcomes, it does have some… Read full abstract & cite →

Recommender system collaborative filtering domain based experts demographic data

Abstract doi.org/10.14569/IJACSA.2019.0100313 PDF

14

Model Reference Adaptive Control Design for Nonlinear Plants

Author 1: Wafa Ghozlane Author 2: Jilani Knani

In this paper, the basic theory of the model reference adaptive control design and issues of particular relevance to control nonlinear dynamic plants with a relative degree greater than or equal to one with unknown parameters are detailed. The studied analysis was motivated through its application to a robot manipulator… Read full abstract & cite →

Model reference adaptive control nonlinear dynamic plants relative degree unknown parameters robot manipulator input-output feedback linearization

Abstract doi.org/10.14569/IJACSA.2019.0100314 PDF

15

Diagnosis of Parkinson’s Disease based on Wavelet Transform and Mel Frequency Cepstral Coefficients

Author 1: Taoufiq BELHOUSSINE DRISSI Author 2: Soumaya ZAYRIT Author 3: Benayad NSIRI Author 4: Abdelkrim AMMOUMMOU

The aim of this study presented in this paper is to determine the choice of the appropriate wavelet analyzer with the method of extraction of MFCC coefficients for an assistance in the diagnosis of Parkinson's disease. The analysis used is based on a database of 18 healthy and 20 Parkinsonian… Read full abstract & cite →

Parkinson disease discrete wavelet transform MFCC Support Vector Machine (SVM)

Abstract doi.org/10.14569/IJACSA.2019.0100315 PDF

16

Risk Factors for Software Requirements Change Implementation

Author 1: Marfizah A. Rahman Author 2: Rozilawati Razali Author 3: Fatin Filzahti Ismail

Requirements change has been regarded as a substantial risk in software development projects. The factors that contribute to the risk are identified through impact analysis, which later determine the planning of the change implementation. The analysis is however not straightforward as the risk factors that constitute requirements change implementation is… Read full abstract & cite →

Requirements change risk factor structural equation modeling

Abstract doi.org/10.14569/IJACSA.2019.0100316 PDF

17

Managing and Reducing Handoffs Latency in Wireless Local Area Networks using Multi-Channel Virtual Access Points

Author 1: Kamran Javed Author 2: Fowad Talib Author 3: Mubeen Iqbal Author 4: Asif Hussain Khan

The time is era of computer technology and relevant hybrid disciplines to emerge as a multi impact entity in the technological world. In the same stream where user of technology is increasing the expectation from the technology are also expedite, thus users need to have high speed network to support… Read full abstract & cite →

Technology mobility heterogeneous bandwidth video streaming mobile network VoIP handoffs

Abstract doi.org/10.14569/IJACSA.2019.0100317 PDF

18

An Enhancement on Mobile Social Network using Social Link Prediction with Improved Human Trajectory Internet Data Mining

Author 1: B. Suryakumar Author 2: Dr. E. Ramadevi

Generally, the mobile social network has missing and unauthentic links. The prediction of those links is one of the major problems to understand the relationship between two nodes and recommends the potential links to the users derived from the history of user-link interactions and their contextual information. The recommendation problem… Read full abstract & cite →

Mobile social network improved multi-context trajectory embedding model with service usage classification model social link prediction machine learning cosine coefficient Jaccard coefficient

Abstract doi.org/10.14569/IJACSA.2019.0100318 PDF

19

Using FDD for Small Project: An Empirical Case Study

Author 1: Shabib Aftab Author 2: Zahid Nawaz Author 3: Faiza Anwer Author 4: Munir Ahmad Author 5: Ahmed Iqbal Author 6: Ashfaq Ahmad Jan Author 7: Muhammad Salman Bashir

Empirical analysis evaluates the proposed system via practical experience and reveals its pros and cons. Such type of evaluation is one of the widely used validation approach in software engineering. Conventional software process models were performed well till mid 1990s but then gradually were replaced by agile methodologies. This happened… Read full abstract & cite →

Agile models feature driven development FDD empirical evaluation comparative analysis

Abstract doi.org/10.14569/IJACSA.2019.0100319 PDF

20

Opinion Mining: An Approach to Feature Engineering

Author 1: Shafaq Siddiqui Author 2: M. Abdul Rehman Author 3: Sher M. Daudpota Author 4: Ahmad Waqas

Sentiment Analysis or opinion mining refers to a process of identifying and categorizing the subjective information in source materials using natural language processing (NLP), text analytics and statistical linguistics. The main purpose of opinion mining is to determine the writer’s attitude towards a particular topic under discussion. This is done… Read full abstract & cite →

Opinion mining feature engineering machine learning classification natural language processing

Abstract doi.org/10.14569/IJACSA.2019.0100320 PDF

21

Cloud Server Security using Bio-Cryptography

Author 1: Zarnab Khalid Author 2: Muhammad Rizwan Author 3: Aysha Shabbir Author 4: Maryam Shabbir Author 5: Fahad Ahmad Author 6: Jaweria Manzoor

Data security is becoming more important in cloud computing. Biometrics is a computerized method of identifying a person based on a physiological characteristic. Among the features measured are our face, fingerprints, hand geometry, DNA etc. Biometric can fortify to store the cloud server using bio-cryptography. The Bio-cryptography key is used… Read full abstract & cite →

Cloud computing biometrics fingerprints encryption and decryption methods cryptography keys bio-cryptography blockchain

Abstract doi.org/10.14569/IJACSA.2019.0100321 PDF

22

Enhanced Physical Document Management using NFC with Verification for Security and Privacy

Author 1: Z. Zainal Abidin Author 2: N.A. Zakaria Author 3: Z. Abal Abas Author 4: A.A. Anuar Author 5: N. Harum Author 6: M.R. Baharon Author 7: Z. Ayop

This study focuses on implementation of physical document management for an organization using Near-Field Communication (NFC) since it provides faster detection on tracking items based on location. Current physical document management operates using bar-codes. However, barcodes are able to be duplicated, which make it not secure that lead to forgery… Read full abstract & cite →

Document file management system physical document files detection near-field communication (NFC)

Abstract doi.org/10.14569/IJACSA.2019.0100322 PDF

23

A Machine Learning Approach for Predicting Nicotine Dependence

Author 1: Mohammad Kharabsheh Author 2: Omar Meqdadi Author 3: Mohammad Alabed Author 4: Sreenivas Veeranki Author 5: Ahmad Abbadi Author 6: Sukaina Alzyoud

An examination of the ability of machine learning methodologies in classifying women Waterpipe (WP) smoker’s level of nicotine dependence is proposed in this work. In this study, we developed a classifier that predicts the level of nicotine dependence for WP tobacco female smokers using a set of novel features relevant… Read full abstract & cite →

Machine learning nicotine dependency Women Waterpipe classification

Abstract doi.org/10.14569/IJACSA.2019.0100323 PDF

24

The Opportunities and the Limitations of Using the Independent Post-Editor Technology in Translation Education

Author 1: Burcu TÜRKMEN Author 2: Muhammed Zahit CAN

A new mechanical function known as post-editing, which helps to correct the imperfections of raw machine translation output, is introduced in the translation market. While this function is commonly used as an integral part of the machine translation, it can also be used for correcting non-translated texts on its own… Read full abstract & cite →

Post-editors machine translation translation education computer-assisted translation

Abstract doi.org/10.14569/IJACSA.2019.0100324 PDF

25

On Telemedicine Implementations in Ghana

Author 1: E. T. Tchao Author 2: Isaac Acquah Author 3: S. D. Kotey Author 4: C. S. Aggor Author 5: J. J. Kponyo

Most Sub-Saharan Africa countries including Ghana experience a shortage of medical professionals, especially in the rural areas. This is mainly caused by the low-intake of students into medical schools due to inadequacy of facilities to train students. Also, a number of medical students graduate and emigrate to foreign countries to… Read full abstract & cite →

Telemedicine Ghana m-health store-and-forward information and communication technology

Abstract doi.org/10.14569/IJACSA.2019.0100325 PDF

26

V-ITS: Video-based Intelligent Transportation System for Monitoring Vehicle Illegal Activities

Author 1: Qaisar Abbas

Vehicle monitoring is a challenging task for video-based intelligent transportation system (V-ITS). Nowadays, the V-ITS system has a significant socioeconomic impact on the development of smart cities and always demand to monitor different traffic parameters. It noticed that traffic accidents are exceeded throughout the world with the percentage of 1.7%… Read full abstract & cite →

Computer vision intelligent traffic management system traffic monitoring vehicle tracking from video image processing deep learning

Abstract doi.org/10.14569/IJACSA.2019.0100326 PDF

27

Analysis of Doppler Effects in Underwater Acoustic Channels using Parabolic Expansion Modeling

Author 1: Ranjani G Author 2: Sadashivappa G

Underwater communication systems play an important role in understanding various phenomena that take place within our vast oceans. They can be used as an integral tool in countless applications ranging from environmental monitoring to gathering of oceanographic data, marine archaeology, and search and rescue missions. Acoustic Communication is the viable… Read full abstract & cite →

Doppler effect underwater communication acoustic channel models parabolic expansion

Abstract doi.org/10.14569/IJACSA.2019.0100327 PDF

28

Automated Grading Systems for Programming Assignments: A Literature Review

Author 1: Hussam Aldriye Author 2: Asma Alkhalaf Author 3: Muath Alkhalaf

Automated grading for programming assignments is becoming more and more important nowadays especially with the emergence of the Massive Open Online Courses. Many techniques and systems are being used nowadays for automated grading in educational institutions. This article provides a literature review of the many automated grading systems and techniques… Read full abstract & cite →

Automated grading

Abstract doi.org/10.14569/IJACSA.2019.0100328 PDF

29

Supply Chain Modeling and Simulation using SIMAN ARENA a Case Study

Author 1: Azougagh Yassine Author 2: Benhida Khalid Author 3: Elfezazi Said

The control of supply chains passes often by identification of various constraints and optimization of the different links and parameters associated to the functioning of the supply chain. To attain these goals, it is vital to get the best knowing and understanding of the supply chain diversity and complexity also… Read full abstract & cite →

Supply Chain transport simulation modelling

Abstract doi.org/10.14569/IJACSA.2019.0100329 PDF

30

An Agglomerative Hierarchical Clustering with Association Rules for Discovering Climate Change Patterns

Author 1: Mahmoud Sammour Author 2: Zulaiha Ali Othman Author 3: Zurina Muda Author 4: Roliana Ibrahim

Ozone analysis is the process of identifying meaningful patterns that would facilitate the prediction of future trends. One of the common techniques that have been used for ozone analysis is the clustering technique. Clustering is one of the popular methods which contribute a significant knowledge for time series data mining… Read full abstract & cite →

Hierarchical clustering dynamic time warping ground-level ozone Apriori Association Rules

Abstract doi.org/10.14569/IJACSA.2019.0100330 PDF

31

Regularization Activation Function for Extreme Learning Machine

Author 1: Noraini Ismail Author 2: Zulaiha Ali Othman Author 3: Noor Azah Samsudin

Extreme Learning Machine (ELM) algorithm based on single hidden layer feedforward neural networks has shown as the best time series prediction technique. Furthermore, the algorithm has a good generalization performance with extremely fast learning speed. However, ELM facing overfitting problem that can affect the model quality due to the implementation… Read full abstract & cite →

Extreme learning machine prediction neural networks regularization time series

Abstract doi.org/10.14569/IJACSA.2019.0100331 PDF

32

Energy-Aware Routing Hole Detection Algorithm in the Hierarchical Wireless Sensor Network

Author 1: Najm Us Sama Author 2: Kartinah Bt Zen Author 3: Atiq Ur Rahman Author 4: Aziz Ud Din

To minimize the communication overhead with the help of optimal path selection in Wireless Sensor Network (WSN) routing protocols is the challenging issue. Hierarchical routing optimizes energy utilization by distributing the workload among different clusters. But many-to-one multi-hop hierarchical routing will result in the excessive expenditure of energy near the… Read full abstract & cite →

Wireless sensor network routing protocol hierarchical routing routing hole problem routing hole detection

Abstract doi.org/10.14569/IJACSA.2019.0100332 PDF

33

Microsatellite’s Detection using the S -Transform Analysis based on the Synthetic and Experimental Coding

Author 1: Soumaya Zribi Author 2: Imen Messaoudi Author 3: Afef Elloumi Oueslati Author 4: Zied Lachiri

Microsatellite in genomic DNA sequence, or Short tandem repeat (STR). It is a class of tandem repeat that have repeated pattern with size of 2- 6 base-pairs adjacent to each other. The detection of the specific tandem repeat is an important part of genetic diseases identification and it is also… Read full abstract & cite →

DNA sequence microsatellites synthetic and experimental coding s-transform bioinformatic tools Empirical Mode and Wavelet Decomposition (EMWD) Parametric Spectral Estimation (PSE)

Abstract doi.org/10.14569/IJACSA.2019.0100333 PDF

34

Location Prediction in a Smart Environment

Author 1: Wael Ali Alosaimi Author 2: Ahmed Binmahfoudh Author 3: Roobaea Alroobaea Author 4: Atef Zaguia

The context prediction and especially the location prediction is an important feature for improving the performance of smart systems. Predicting the next location or context of the user make the system proactive, so the system will be capable to offer the suitable services to the user without his involving. In… Read full abstract & cite →

Location prediction context pattern Bayesian network

Abstract doi.org/10.14569/IJACSA.2019.0100334 PDF

35

Low-fidelity Prototype Design for Serious Game for Slow-reading Students

Author 1: Saffa Raihan Zainal Abidin Author 2: Siti Fadzilah Mat Noor Author 3: Noraidah Sahari Ashaari

Serious game is an alternative teaching aid that is getting a place of use by teachers and parents. Its widespread use has basically changed the way of life and learning of children and has a positive impact on achievement and increased the motivation of children in learning. However, not all… Read full abstract & cite →

Serious game brain-based learning low-fidelity prototype paper prototype chauffeured prototype think aloud protocol slow-reading students

Abstract doi.org/10.14569/IJACSA.2019.0100335 PDF

36

Experimentation for Modular Robot Simulation by Python Coding to Establish Multiple Configurations

Author 1: Muhammad Haziq Hasbulah Author 2: Fairul Azni Jafar Author 3: Mohd. Hisham Nordin Author 4: Kazutaka Yokota

Most of the Modular Self-reconfigurable (MSR) robots are being developed in order to have the capability of achieving different locomotion gaits. It is an approach of robotic system which involving a group of identical robotic modules that are connecting together and are able to perform specific tasks. In this study… Read full abstract & cite →

Dtto robot simulation configuration locomotion orientation

Abstract doi.org/10.14569/IJACSA.2019.0100336 PDF

37

A Novel Assessment to Achieve Maximum Efficiency in Optimizing Software Failures

Author 1: Jagadeesh Medapati Author 2: Prof Anand Chandulal J Author 3: Prof Rajinikanth T V

Software Reliability is a specialized area of software engineering which deals with the identification of failures while developing the software. Effective analysis of the reliability helps to signify the number of failures occurred during the development phase. This in turn aid in the refinement of the failures occurred during the… Read full abstract & cite →

Software reliability failure rate reviews software cost optimization

Abstract doi.org/10.14569/IJACSA.2019.0100337 PDF

38

Process Capability Indices under Non-Normality Conditions using Johnson Systems

Author 1: Suboohi Safdar Author 2: Dr. Ejaz Ahmed Author 3: Dr. Tahseen Ahmed Jilani Author 4: Dr. Arfa Maqsood

Process capability indices (PCIs) quantify the ability of a process to produce on target and within specifications performances. Basic indices designed for normal processes gives flawed results for non-normal process. Numerous methods have been proposed for non-normal processes to estimate PCIs in which some of them are based on transformation… Read full abstract & cite →

Johnson curve percentiles simulation exact method

Abstract doi.org/10.14569/IJACSA.2019.0100338 PDF

39

Application of Artificial Neural Network and Information Gain in Building Case-Based Reasoning for Telemarketing Prediction

Author 1: S.M.F.D Syed Mustapha Author 2: Abdulmajeed Alsufyani

Traditionally, case-based reasoning (CBR) has been used as advanced technique for representing expert knowledge and reasoning. However, for stochastic business data such as customers’ behavior and users’ preferences, the knowledge cannot be extracted directly from data to build the cases in reasoning in making prediction. Artificial Neural Network that is… Read full abstract & cite →

Artificial neural network prediction model telemarketing shannon entropy feature selection case-based reasoning

Abstract doi.org/10.14569/IJACSA.2019.0100339 PDF

40

A Survey on Opportunistic Routing

Author 1: Saleh A. Khawatreh Author 2: Mustafa Abdullah Author 3: Enas N. Alzubi

Opportunistic Routing (OR) is attracted much in the research field of multi-hop wireless networks because it is different from traditional routing protocols [such as: Distance Vector (DV) and Link State (LS)], that it needs a lightweight protocol which is strong source routing basis]. In this paper, the development of opportunistic… Read full abstract & cite →

Opportunistic routing PSR ExOR proactive routing source routing tree-based routing lightweight routing wireless networks ad hoc networks

Abstract doi.org/10.14569/IJACSA.2019.0100340 PDF

41

Optimal Design of a Variable Coefficient Fractional Order PID Controller by using Heuristic Optimization Algorithms

Author 1: Omer Aydogdu Author 2: Mehmet Korkmaz

This paper deals with an optimal design of a new type Variable coefficient Fractional Order PID (V-FOPID) controller by using heuristic optimization algorithms. Although many studies have mainly paid attention to correct the performance of the system’s transient and steady state responses together, few studies are interested in both transient… Read full abstract & cite →

Artificial immune system automatic voltage regulator particle swarm optimization variable coefficient fractional order PID controller

Abstract doi.org/10.14569/IJACSA.2019.0100341 PDF

42

Speaker Identification based on Hybrid Feature Extraction Techniques

Author 1: Feras E. Abualadas Author 2: Akram M. Zeki Author 3: Muzhir Shaban Al-Ani Author 4: Az-Eddine Messikh

One of the most exciting areas of signal processing is speech processing; speech contains many features or characteristics that can discriminate the identity of the person. The human voice is considered one of the important biometric characteristics that can be used for person identification. This work is concerned with studying… Read full abstract & cite →

Speaker identification biometrics speaker verification speaker recognition text-independent text-dependent

Abstract doi.org/10.14569/IJACSA.2019.0100342 PDF

43

ATAM: Arabic Traffic Analysis Model for Twitter

Author 1: Amani AlFarasani Author 2: Tahani AlHarthi Author 3: Sarah AlHumoud

Harvesting Twitter for insight and meaning in what is called sentiment analysis (SA) is a major trend stemming from computational linguistics and AI. Industry and academia are interested in maximizing efficiency while mining text to attain the most currently available data and crowdsourcing opinions. In this study, we present the… Read full abstract & cite →

Data mining machine learning sentiment analysis unsupervised learning lexicon-based support vector machines

Abstract doi.org/10.14569/IJACSA.2019.0100343 PDF

44

An Effective Approach to Analyze Algorithms with Linear O(n) Worst-Case Asymptotic Complexity

Author 1: Qazi Haseeb Yousaf Author 2: Muhammad Arif Shah Author 3: Rashid Naseem Author 4: Karzan Wakil Author 5: Ghufran Ullah

A theoretical approach of asymptote analyzes the algorithms for approximate time complexity. The worst-case asymptotic complexity classifies an algorithm to a certain class. The asymptotic complexity for algorithms returns the degree variable of the algorithmic function while ignores the lower terms. In perspective of programming, asymptote only considers the number… Read full abstract & cite →

Asymptotic complexity interval analysis in-depth analysis Big-Oh crossover point

Abstract doi.org/10.14569/IJACSA.2019.0100344 PDF

45

Implementation of Multi-Agent based Digital Rights Management System for Distance Education (DRMSDE) using JADE

Author 1: Ajit Kumar Singh Author 2: Akash Nag Author 3: Sunil Karforma Author 4: Sripati Mukhopadhyay

The main objective of Distance Education (DE) is to spread quality education regardless of time and space. This objective is easily achieved with the help of technology. With the development of World Wide Web and high-speed internet the quality of DE is improved because now Digital Content (DC) can be… Read full abstract & cite →

Distance Education (DE) Intellectual Property Rights (IPR) Digital Rights Management (DRM) Multi-Agent System (MAS) JADE

Abstract doi.org/10.14569/IJACSA.2019.0100345 PDF

46

A Review on Security Issues and their Impact on Hybrid Cloud Computing Environment

Author 1: Mohsin Raza Author 2: Ayesha Imtiaz Author 3: Umar Shoaib

The evolution of cloud infrastructures toward hybrid cloud models enables innovative business outcomes, twin turbo drivers by the requirement of greater IT agility and overall cost-containment pressures. Hybrid cloud solutions combine the capabilities of both public clouds along with those of on-premises private cloud environments. In order to key benefit… Read full abstract & cite →

Hybrid cloud migration security issues security techniques

Abstract doi.org/10.14569/IJACSA.2019.0100346 PDF

47

Enhanced Random Early Detection using Responsive Congestion Indicators

Author 1: Ahmad Adel Abu-Shareha

Random Early Detection (RED) is an Active Queue Management (AQM) method proposed in the early 1990s to reduce the effects of network congestion on the router buffer. Although various AQM methods have extended RED to enhance network performance, RED is still the most commonly utilized method; this is because RED… Read full abstract & cite →

Congestion random early detection active queue management

Abstract doi.org/10.14569/IJACSA.2019.0100347 PDF

48

Recognition and Classification of Power Quality Disturbances by DWT-MRA and SVM Classifier

Author 1: Fayyaz Jandan Author 2: Suhail Khokhar Author 3: Syed Abid Ali Shaha Author 4: Farhan Abbasi

Electrical power system is a large and complex network, where power quality disturbances (PQDs) must be monitored, analyzed and mitigated continuously in order to preserve and to re-establish the normal power supply without even slight interruption. Practically huge disturbance data is difficult to manage and requires the higher level of… Read full abstract & cite →

Power quality disturbances discrete wavelet transform multi resolution analysis support vector machine

Abstract doi.org/10.14569/IJACSA.2019.0100348 PDF

49

Smart Parking Architecture based on Multi Agent System

Author 1: SOFIA BELKHALA Author 2: SIHAM BENHADOU Author 3: KHALID BOUKHDIR Author 4: HICHAM MEDROMI

Finding a parking space in big cities is becoming more and more impossible. In addition, the emergence of car has created several problems relating to urban mobility for the city. But with the development of technology, these problems can be solved. In this paper, the problem of parking has been… Read full abstract & cite →

Smart parking IoT multi agent system artificial intelligence parking availability IoT application

Abstract doi.org/10.14569/IJACSA.2019.0100349 PDF

50

Towards Implementing Framework to Generate Myopathic Signals

Author 1: Amira Dridi Author 2: Jassem Mtimet Author 3: Slim Yacoub

In this paper, we describe a simulation system of myopathicsurface electromyography (sEMG) signals. The architecture of the proposed system consists of two cascading modules. SEMG signals of three pathological skeletal muscles (Biceps Brachii, InterosseursDorsalis, TibalisAnterior) were generated. Root Mean Square (RMS Envelope) and Power Spectral Density (PSD) were used to… Read full abstract & cite →

Component Surface Electromyography (sEMG) myopathy root mean square Power Spectral Density (PSD skeletal muscles biceps brachii interosseous dorsalis tibialis anterior

Abstract doi.org/10.14569/IJACSA.2019.0100350 PDF

51

Towards the Performance Investigation of Automatic Melanoma Diagnosis Applications

Author 1: Amna Asif Author 2: Iram Fatima Author 3: Adeel Anjum Author 4: Saif U. R. Malik

Melanoma is a type of skin cancer, one of the fatal diseases, that appears as an abnormal growth of skin cells and the lesion part often looks like a mole on the skin. Early detection of melanoma from skin lesion by means of screening is an important step towards a… Read full abstract & cite →

Smartphones computer based systems melanoma diagnosis cloud computing

Abstract doi.org/10.14569/IJACSA.2019.0100351 PDF

52

Multi-Objective Ant Colony Optimization for Automatic Social Media Comments Summarization

Author 1: Lucky Author 2: Abba Suganda Girsang

Summarizing social media comments automatically can help users to capture important information without reading the whole comments. On the other hand, automatic text summarization is considered as a Multi-Objective Optimization (MOO) problem for satisfying two conflicting objectives. Retaining the information from the source of text as much as possible and… Read full abstract & cite →

Automatic text summarization social media ant colony optimization multi-objective

Abstract doi.org/10.14569/IJACSA.2019.0100352 PDF

53

Classification of Melanoma Skin Cancer using Convolutional Neural Network

Author 1: Rina Refianti Author 2: Achmad Benny Mutiara Author 3: Rachmadinna Poetri Priyandini

Melanoma cancer is a type of skin cancer and is the most dangerous one because it causes the most of skin cancer deaths. Melanoma comes from melanocyte cells, melanin-producing cells, so that melanomas are generally brown or black coloured. Melanomas are mostly caused by exposure to ultraviolet radiation that damages… Read full abstract & cite →

Convolutional neural network deep learning image classification LeNet-5 melanoma skin cancer python

Abstract doi.org/10.14569/IJACSA.2019.0100353 PDF

54

Leveraging A Multi-Objective Approach to Data Replication in Cloud Computing Environment to Support Big Data Applications

Author 1: Mohammad Shorfuzzaman Author 2: Mehedi Masud

Increased data availability and high data access performance are of utmost importance in a large-scale distributed system such as data cloud. To address these issues data can be replicated in various locations in the system where applications are executed. Replication not only improves data availability and access latency but also… Read full abstract & cite →

Big data applications data cloud replication dynamic programming QoS requirement workload constraint

Abstract doi.org/10.14569/IJACSA.2019.0100354 PDF

55

A Categorical Model of Process Co-Simulation

Author 1: Daniel-Cristian Craciunean Author 2: Dimitris Karagiannis

A set of dynamic systems in which some entities undergo transformations, or receive certain services in successive phases, can be modeled by processes. The specification of a process consists of a description of the properties of this process as a mathematical object in a suitable modeling language. The language chosen… Read full abstract & cite →

Process modeling metamodel modeling grammars categorical grammars category theory categorical sketch co-simulation simulation

Abstract doi.org/10.14569/IJACSA.2019.0100355 PDF

56

An Enhanced Concept based Approach for user Centered Health Information Retrieval to Address Readability Issues

Author 1: Ibrahim Umar Kontagora Author 2: Isredza Rahmi A. Hamid Author 3: Nurul Aswa Omar

Searching for relevant medical guidance has turn out to be a general and notable task executed by internet users. This diversity of quantifiable information explorers indicates the enormous range of information needs and consequently, a key prerequisite for the development of clinical retrieval systems that would satisfy the clinical information… Read full abstract & cite →

Concept-based approach medical discharge reports clinical reports query expansion latent semantic indexing query likelihood model

Abstract doi.org/10.14569/IJACSA.2019.0100356 PDF

57

Microcontroller-based RFID, GSM and GPS for Motorcycle Security System

Author 1: Kunnu Purwanto Author 2: Iswanto Author 3: Tony Khristanto Hariadi Author 4: Muhammad Yusvin Muhtar

The crime level including motorcycle theft has been increasing. It occurs regardless the time and place. The owner of the motorcycle needs to ensure the security of his motorcycle by adding either manual or electronic lock. However, both the manual and electronic locks are still incapable to protect the motorcycle… Read full abstract & cite →

Microcontroller GPS GSM RFID motorcycle

Abstract doi.org/10.14569/IJACSA.2019.0100357 PDF

58

Efficient Arnold and Singular Value Decomposition based Chaotic Image Encryption

Author 1: Ashraf Afifi

This paper proposes an efficient image encryption that is based on Arnold transform (AT) and the Singular value decomposition (SVD). The proposed method employs AT on a plain image to transpose all image pixels in the positions, then a diffusion process is applied to the resulted encrypted image via SVD… Read full abstract & cite →

Encryption arnold transform singular value decomposition chaotic image encryption

Abstract doi.org/10.14569/IJACSA.2019.0100358 PDF

59

Finding Attractive Research Areas for Young Scientists

Author 1: Nouman Malik Author 2: Hikmat Ullah Khan Author 3: Muhammad Ramzan Author 4: Muhammad Shahzad Faisal Author 5: Ahsan Mahmood

The selection of the research area is very vital for new researchers. One of the major issues for researchers is the selection of the domain of research on which he/she can carry out research. This case is very vital on the grounds that it decides the future of the researchers… Read full abstract & cite →

Research field scientometrics attractive areas g-index

Abstract doi.org/10.14569/IJACSA.2019.0100359 PDF

60

Improvement in Classification Algorithms through Model Stacking with the Consideration of their Correlation

Author 1: Muhammad Azam Author 2: Dr. Tanvir Ahmed Author 3: Dr. M. Usman Hashmi Author 4: Rehan Ahmad Author 5: Abdul Manan Author 6: Muhammad Adrees Author 7: Fahad Sabah

In this research we analyzed the performance of some well-known classification algorithms in terms of their accuracy and proposed a methodology for model stacking on the basis of their correlation which improves the accuracy of these algorithms. We selected; Support Vector Machines (svm), Naïve Bayes (nb), k-Nearest Neighbors (knn), Generalized… Read full abstract & cite →

Classification algorithms model stacking correlation k-nearest neighbor pre-processing meta classifiers

Abstract doi.org/10.14569/IJACSA.2019.0100360 PDF

61

Image Retrieval using Visual Phrases

Author 1: Benish Anwar Author 2: Junaid Baber Author 3: Atiq Ahmed Author 4: Maheen Bakhtyar Author 5: Sher Muhammad Daudpota Author 6: Anwar Ali Sanjrani Author 7: Ihsan Ullah

Keypoint based descriptors are widely used for various computer vision applications. During this process, key-points are initially detected from the given images which are later represented by some robust and distinctive descriptors like scale-invariant feature transform (SIFT). Keypoint based image-to-image matching has gained significant accuracy for image retrieval type of… Read full abstract & cite →

Image processing image retrieval visual phrases apriori algorithm SIFT

Abstract doi.org/10.14569/IJACSA.2019.0100361 PDF

62

An Improved Particle Swarm Optimization Algorithm with Chi-Square Mutation Strategy

Author 1: Waqas Haider Bangyal Author 2: Hafiz Tayyab Rauf Author 3: Hafsa Batool Author 4: Saad Abdullah Bangyal Author 5: Jamil Ahmed Author 6: Sobia Pervaiz

Particle Swarm Optimization (PSO) algorithm is a population-based strong stochastic search strategy empowered from the inherent way of the bee swarm or animal herds for seeking their foods. Consequently, flexibility for the numerical experimentation, PSO has been used to resolve diverse kind of optimization problems. PSO is much of the… Read full abstract & cite →

Particle Swarm Optimization Chi-Square Mutation Population Initialization

Abstract doi.org/10.14569/IJACSA.2019.0100362 PDF

63

Real Time Analysis of Crowd Behaviour for Automatic and Accurate Surveillance

Author 1: E Padmalatha Author 2: Karedla Anantha Sashi Sekhar Author 3: Dasarada Ram Reddy Mudiam

Surveillance in this modern era is a necessity. Creating an alert in case of emergencies and disturbances is of very much importance. As the number of simultaneous camera feeds increase, burden on human supervisor also increases. The proposed system is a way to aid human supervisor in the surveillance job… Read full abstract & cite →

Real time surveillance violent flow descriptors neural network

Abstract doi.org/10.14569/IJACSA.2019.0100363 PDF

64

Impacts of Unbalanced Test Data on the Evaluation of Classification Methods

Author 1: Manh Hung Nguyen

The performance of a classifier in a supervised machine learning problem is popularly evaluated by using the accuracy, precision, recall, and F1-score. These parameters could evaluate very well classifiers in the case that the number of positive label sample and the number of negative label sample in the testing set… Read full abstract & cite →

Supervised machine learning evaluation accuracy f1 score unbalanced factor

Abstract doi.org/10.14569/IJACSA.2019.0100364 PDF

65

A Hybrid Exam Scheduling Technique based on Graph Coloring and Genetic Algorithms Targeted towards Student Comfort

Author 1: Osama Al-Haj Hassan Author 2: Osama Qtaish Author 3: Maher Abuhamdeh Author 4: Mohammad Al-Haj Hassan

Scheduling is one of the vital activities needed in various aspects of life. It is also a key factor in generating exam schedules for academic institutions. In this paper we propose an exam scheduling technique that combines graph coloring and genetic algorithms. On one hand, graph coloring is used to… Read full abstract & cite →

Exam scheduling optimization graph coloring genetic algorithms time tabling fitness value

Abstract doi.org/10.14569/IJACSA.2019.0100365 PDF

66

Developing a Framework for Analyzing Heterogeneous Data from Social Networks

Author 1: Aritra Paul Author 2: Mohammad Shamsul Arefin Author 3: Rezaul Karim

Due to the rapid growth of internet technologies, at present online social networks have become a part of people’s everyday life. People shares their thoughts, feelings, likings, disliking and many other issues at social networks by posting messages, videos, images and commenting on these. It is a great source of… Read full abstract & cite →

Heterogeneous data recommendation systems co-sine similarity video categorization

Abstract doi.org/10.14569/IJACSA.2019.0100366 PDF

67

Energy Efficient Camera Solution for Video Surveillance

Author 1: Misbah Ahmad Author 2: Imran Ahmed Author 3: Kaleem Ullah Author 4: Iqbal Khan Author 5: Ayesha Khattak Author 6: Awais Adnan

Video surveillance is growing rapidly, new problems and issues are also coming into view which needs serious and urgent attention. Video surveillance system requires a beneficial energy efficient camera solution. In this paper, a single overhead camera solution is introduced which overcomes the problems ex-isting in various frontal and overhead… Read full abstract & cite →

Energy efficient video surveillance overhead camera

Abstract doi.org/10.14569/IJACSA.2019.0100367 PDF

68

A Gender-neutral Approach to Detect Early Alzheimer’s Disease Applying a Three-layer NN

Author 1: Shithi Maitra Author 2: Tonmoy Hossain Author 3: Abdullah Al-Sakin Author 4: Sheikh Inzamamuzzaman Author 5: Md. Mamun Or Rashid Author 6: Syeda Shabnam Hasan

Early diagnosis of the neurodegenerative, irreversible disease Alzheimer’s is crucial for effective disease management. Dementia from Alzheimer’s is an agglomerated result of complex criteria taking roots at both medical, social, educational backgrounds. There being multiple predictive features for the mental state of a subject, machine learning methodologies are ideal for… Read full abstract & cite →

Alzheimer’s disease dementia exploratory data analysis synthetically imputed data socio-economic factors specialized imputation

Abstract doi.org/10.14569/IJACSA.2019.0100368 PDF

69

Optimal Pragmatic Clustering for Wireless Networks

Author 1: Suzan Basloom Author 2: Nadine Akkari Author 3: Ghadah Aldabbagh

Nodes’ clustering in wireless networks is one of the solutions that used to improve network performance. This paper discusses the clustering in wireless networks. Then it presents a novel clustering algorithm named Pragmatic Genetic Algorithm (PGA). It combines two of the well known artificial intelligence techniques: K-means and Genetic algorithm… Read full abstract & cite →

Clustering genetic algorithm K-means wireless networks

Abstract doi.org/10.14569/IJACSA.2019.0100369 PDF

70

Analysis of ECG Signal Processing and Filtering Algorithms

Author 1: Zia-ul-Haque Author 2: Rizwan Qureshi Author 3: Mehmood Nawaz Author 4: Faheem Yar Khuhawar Author 5: Nazish Tunio Author 6: Muhammad Uzair

Electrocardiography (ECG) is a common technique for recording the electrical activity of human heart. Accurate computer analysis of ECG signal is challenging as it is exceedingly prone to high frequency noise and various other artifacts due to its low amplitude. In remote heath care systems, computer based high level understanding… Read full abstract & cite →

Electrocardiogram power line interference electromyography adaptive filter Least Mean Square

Abstract doi.org/10.14569/IJACSA.2019.0100370 PDF

71

Non-Linear EH Relaying in Delay-Transmission Mode over n-µ Fading Channels

Author 1: Ayaz Hussain Author 2: Inayat Ali Author 3: Ramesh Kumar Author 4: Zahoor Ahmed

Energy harvesting is a technique to harvest energy from RF (radio frequency) waves. The RF signals have the ability to convey energy and information concurrently. The EH in coop-erative relaying systems may increase the capacity and coverage of wireless networks. In this work, we study a dual-hop (two-hop) relaying. This… Read full abstract & cite →

EH relay non-linear EH model n-µ fading TSR protocol throughput

Abstract doi.org/10.14569/IJACSA.2019.0100371 PDF

72

Exploring Mechanisms for Pattern Formation through Coupled Bulk-Surface PDEs in Case of Non-linear Reactions

Author 1: Muflih Alhazmi

This work explores mechanisms for pattern forma-tion through coupled bulk-surface partial differential equations of reaction-diffusion type. Reaction-diffusion systems posed both in the bulk and on the surface on stationary volumes are coupled through linear Robin-type boundary conditions. The presented work in this paper studies the case of non-linear reactions in… Read full abstract & cite →

Bulk-surface Reaction-diffusion Finite-Element-Method (FEM) Partial Differential Equations (PDEs)

Abstract doi.org/10.14569/IJACSA.2019.0100372 PDF

73

Efficient Load Balancing in Cloud Computing using Multi-Layered Mamdani Fuzzy Inference Expert System

Author 1: Naila Samar Naz Author 2: Sagheer Abbas Author 3: Muhammad Adnan Khan Author 4: Benish Abid Author 5: Nadeem Tariq Author 6: Muhammad Farrukh Khan

In this article, a new Multi-Layered mamdani fuzzy inference system (ML-MFIS) is propound for the Assessment of Efficient Load Balancing (ELB). The proposed ELB-ML-MFIS expert System can categorise the level of ELB in Cloud computing into Excellent, Normal or Low. ELB-ML-MFIS Expert System for ELB in cloud computing is developed… Read full abstract & cite →

PITB IOT Virtual-Machine Data-center ML ELB MFIS

Abstract doi.org/10.14569/IJACSA.2019.0100373 PDF

74

Performance Analysis of Multilayer Perceptron Neural Network Models in Week-Ahead Rainfall Forecasting

Author 1: Lemuel Clark P. Velasco Author 2: Ruth P. Serquiña Author 3: Mohammad Shahin A. Abdul Zamad Author 4: Bryan F. Juanico Author 5: Junneil C. Lomocso

Multilayer perceptron neural network (MLPNN) is considered as one of the most efficient forecasting techniques which can be implemented for the prediction of weather occurrence. As with any machine learning implementation, the challenge on the utilization of MLPNN in rainfall forecasting lies in the development and evaluation of MLPNN models… Read full abstract & cite →

Multilayer perceptron neural network performance analysis rainfall forecasting

Abstract doi.org/10.14569/IJACSA.2019.0100374 PDF

75

Android based Receptive Language Tracking Tool for Toddlers

Author 1: Sadia Firdous Author 2: Madhia Wahid Author 3: Amad Ud Din Author 4: Khush Bakht Author 5: Muhammad Yousuf Ali Khan Author 6: Rehna Batool Author 7: Misbah Noreen

Today’s Android-based applications are gaining more popularity among users, especially among kids. Many Android-based applications are available related to speech therapy of a child but these have left some loopholes. Talking kids is the solution to those applications. It is an Android-based receptive language tracking tool for toddlers that emphasis… Read full abstract & cite →

Receptive language mobile application hearing impairment

Abstract doi.org/10.14569/IJACSA.2019.0100375 PDF

76

An Agent-based Simulation for Studying Air Pollution from Traffic in Urban Areas: The Case of Hanoi City

Author 1: KAFANDO Rodrique Author 2: HO Tuong Vinh Author 3: NGUYEN Manh Hung

In urban areas, traffic is one of the main causes of air pollution. Establishing an effective solution to raise public awareness of this phenomenon could help to significantly reduce the level of pollution in urban areas. In this study, we design and implement an agent-based simulation allowing to study the… Read full abstract & cite →

Air pollution agent-based simulation traffic

Abstract doi.org/10.14569/IJACSA.2019.0100376 PDF

77

Spin-Then-Sleep: A Machine Learning Alternative to Queue-based Spin-then-Block Strategy

Author 1: Fadai Ganjaliyev

One of the issues with spinlock protocols is excessive spinning which results in a waste of CPU cycles. Some protocols use the hybrid, spin-then-block approach to avoid this problem. In this case, the contending thread may prefer relinquishing the CPU instead of spinning, and resumes execution once notified. This paper… Read full abstract & cite →

Spinlock spin-then-block reinforcement learning queue-based lock intelligent sleeping

Abstract doi.org/10.14569/IJACSA.2019.0100377 PDF

78

Triangle Hyper Hexa-cell Interconnection Network A Novel Interconnection Network

Author 1: Asmaa Aljawawdeh Author 2: Esraa Emriziq Author 3: Saher Manaseer

The interconnection networks play the main role in many applications, because it has a direct influence on it. Nowadays; the challenge is to find suitable topology that can deal with fewer requirements and min-cost. One of the most famous interconnection structures is the cube; it is used to build many… Read full abstract & cite →

Interconnection network hyper hexa-cell parallel system radix sort triangle hyper hexa-cell triangle topology

Abstract doi.org/10.14569/IJACSA.2019.0100378 PDF

79

Growth Characteristics of Age and Gender-based Anthropometric Data from Human Assisted Remote Healthcare System

Author 1: Mehdi Hasan Author 2: Rafiqul Islam Author 3: Fumuhiko Yokota Author 4: Mariko Nishikitani Author 5: Akira Fukuda Author 6: Ashir Ahmed

Growth monitoring and promotion of optimal growth are essential components of primary health care. The most popular approach to this topic has been developed and utilized for decades by the CDC (Center for Disease Control and Prevention) in the United States, resulting in its well-known clinical growth pattern charts for… Read full abstract & cite →

Age and gender-based growth characteristics portable health clinic human assisted remote healthcare system eHealth record

Abstract doi.org/10.14569/IJACSA.2019.0100379 PDF

80

Density based Clustering Algorithm for Distributed Datasets using Mutual k-Nearest Neighbors

Author 1: Ahmed Salim

Privacy and security have always been a concern that prevents the sharing of data and impedes the success of many projects. Distributed knowledge computing, if done correctly, plays a key role in solving such a problem. The main goal is to obtain valid results while ensuring the non-disclosure of data… Read full abstract & cite →

Privacy mutual k-nearest neighbor Density-based clustering security DDBC

Abstract doi.org/10.14569/IJACSA.2019.0100380 PDF

81

Development of Talent Model based on Publication Performance using Apriori Technique

Author 1: Zulaiha Ali Othman Author 2: Noraini Ismail Author 3: Mohd Zakree Ahmad Nazri Author 4: Hamidah Jantan

The main problem or challenge faced by Human Resource Management (HRM) is to recognize, develop and manage talent efficiently and effectively. This is because HRM is responsible for selecting the correct talent for suitable positions at the right time, aligned with their existing qualifications, talents and achievements. Furthermore, the decision… Read full abstract & cite →

Human resource management apriori based association rules promotion’s guideline

Abstract doi.org/10.14569/IJACSA.2019.0100381 PDF