IJACSA Vol. 10 Issue 8 (2019)

1

Applying CRISPR-Cas9 Off-Target Editing on DNA based Steganography

Author 1: Hong Zhou Author 2: Xiaoli Huan

Different from cryptography which encodes data into an incomprehensible format difficult to decrypt, steganography hides the trace of data and therefore minimizes attention to the hidden data. To hide data, a carrier body must be utilized. In addition to the traditional data carriers including images, audios, and videos, DNA emerges… Read full abstract & cite →

DNA steganography CRISPR Cas9 sgRNA off-target substitution

Abstract doi.org/10.14569/IJACSA.2019.0100801 PDF

2

A Literature Review on Medicine Recommender Systems

Author 1: Benjamin Stark Author 2: Constanze Knahl Author 3: Mert Aydin Author 4: Karim Elish

Medicine recommender systems can assist the medical care providers with the selection of an appropriate medication for the patients. The advanced technologies available nowadays can help developing such recommendation systems which can lead to more concise decisions. Many existing medicine recommendation systems are developed based on different algorithms. Thus, it… Read full abstract & cite →

Medicine recommendation systems healthcare systematic review

Abstract doi.org/10.14569/IJACSA.2019.0100802 PDF

3

Study and Analysis of Delay Sensitive and Energy Efficient Routing Approach

Author 1: Babar Ali Author 2: Tariq Mahmood Author 3: Muhammad Ayzed Mirza Author 4: Saleemullah Memon Author 5: Muhammad Rashid Author 6: Ekang Francis Ajebesone

Wireless Sensing Networks (WSNs) comprised of significant numbers of miniatures and reasonable sensor nodes, which sense data from surrounding and forwarded data toward the base station (BS) via multi-hop fashion through cluster head node (CHN). The random selection of CHN in WSNs is fully based on the nodes residing energy… Read full abstract & cite →

Multi-hop (MH) CHN WSNs BS Data Fusion Technology (DFT) LEACH RP DSEE

Abstract doi.org/10.14569/IJACSA.2019.0100803 PDF

4

Analysis of Software Tools for Longitudinal Studies in Psychology

Author 1: Pavel Kolyasnikov Author 2: Evgeny Nikulchev Author 3: Vladimir Belov Author 4: Anastasia Silaeva Author 5: Alexander Kosenkov Author 6: Artem Malykh Author 7: Zalina Takhirova Author 8: Sergey Malykh

Longitudinal studies allow to access the review of causal hypotheses directly. It means that they make possible causal relation between the order of impacts (i.e. life events, educational effects, etc.) and the consequences that then occur. Long-term data storage has specific requirements for software and methods of data storage and… Read full abstract & cite →

Software tools for psychological research choice of the tools for psychological research longitudinal studies criteria for software evaluation

Abstract doi.org/10.14569/IJACSA.2019.0100804 PDF

5

An Ontological Model for Generating Complete, Form-based, Business Web Applications

Author 1: Daniel Strmecki Author 2: Ivan Magdalenic

This paper presents an ontological model for specifying and automatically generating complete business Web applications. First, a modular and expandable ontological model for specifying form-based, business Web applications is developed and presented. Next, the technology used for transforming the ontological specification to Java executable code is explained. Finally, the results… Read full abstract & cite →

Ontology model generative automatic programming development

Abstract doi.org/10.14569/IJACSA.2019.0100805 PDF

6

Sound user Interface with Touch Panel for Data and Information Expression and its Application to Meteorological Data Representation

Author 1: Kohei Arai

Sound User Interface (SUI) with touch panel for representation of quantitative data and information together with its application to meteorological data representation is proposed. The proposed SUI is not a merely ear-con. Through experiments, it is found that the proposed SUI combined with visual perception makes meteorologist to understand meteorological… Read full abstract & cite →

Audible meteorology remote sensing satellite musical scale multi-layered data SUI

Abstract doi.org/10.14569/IJACSA.2019.0100806 PDF

7

Local Average of Nearest Neighbors: Univariate Time Series Imputation

Author 1: Anibal Flores Author 2: Hugo Tito Author 3: Carlos Silva

The imputation of time series is one of the most important tasks in the homogenization process, the quality and precision of this process will directly influence the accuracy of the time series predictions. This paper proposes two simple algorithms, but quite powerful for univariate time series imputation process, which are… Read full abstract & cite →

Univariate time series imputation LANN LANN+

Abstract doi.org/10.14569/IJACSA.2019.0100807 PDF

8

Mortality Prediction based on Imbalanced New Born and Perinatal Period Data

Author 1: Wafa M AlShwaish Author 2: Maali Ibr. Alabdulhafith

This study was carried out by the New York State Department of Health, between 2012 and 2016. This experiment relates to six supervised machine learning methods: Support Vector Machine (SVM), Logistic Regression (LR), Gradient Boosting (GB), Random Forest (RF), Deep Learning (DL) and the Ensemble Model, all of which are… Read full abstract & cite →

Component machine learning support vector machine logistic regression gradient boosting random forest deep learning ensemble model

Abstract doi.org/10.14569/IJACSA.2019.0100808 PDF

9

Framework for Digital Data Access Control from Internal Threat in the Public Sector

Author 1: Haslidah Halim Author 2: Maryati Mohd Yusof

Information management is one of the main challenges in the public sector because the information is often exposed to threat risks, particularly internal ones. Information theft or misuse, which is attributed to human factors, affects the reputation of public sector organizations due to the loss of public trust in the… Read full abstract & cite →

Information management internal threats control framework risk information security personal data access

Abstract doi.org/10.14569/IJACSA.2019.0100809 PDF

10

RETRACTED: Improving Usable-Security of Web based Healthcare Management System through Fuzzy AHP

Author 1: Nawaf Rasheed Alharbe

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IJACSA`s Publication Principles. We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this… Read full abstract & cite →

Application security application usability usable-security fuzzy analytic hierarchy process

Abstract doi.org/10.14569/IJACSA.2019.0100810 PDF

11

Relationship Analysis on the Experience of Hospitalised Paediatric Cancer Patient in Malaysia using Text Analytics Approach

Author 1: Zuraini Zainol Author 2: Puteri N.E. Nohuddin Author 3: Nadhirah Rasid Author 4: Hamidah Alias Author 5: A. Imran Nordin

The purpose of this study is to analyse the keyword relationships of paediatric cancer patient’s experiences whilst being hospitalised during the treatment session. This study collects data through 40 days of observations on 21 paediatric cancer patients. A combination of text analytical visualizations such as network analysis map and bubble… Read full abstract & cite →

Patient experience paediatric keyword relationship analysis bubble graph text network analysis

Abstract doi.org/10.14569/IJACSA.2019.0100811 PDF

12

Prediction of Potential-Diabetic Obese-Patients using Machine Learning Techniques

Author 1: Raghda Essam Ali Author 2: Hatem El-Kadi Author 3: Soha Safwat Labib Author 4: Yasmine Ibrahim Saad

Diabetes is a disease that is chronic. Improper blood glucose control may cause serious complications in diabetic patients as heart and kidney disease, strokes, and blindness. Obesity is considered to be a massive risk factor of type 2 diabetes. Machine Learning has been applied to many medical health aspects. In… Read full abstract & cite →

Obesity diabetes nonalcoholic fatty liver disease artificial neural network support vector machine

Abstract doi.org/10.14569/IJACSA.2019.0100812 PDF

13

Detection of Chronic Kidney Disease using Machine Learning Algorithms with Least Number of Predictors

Author 1: Marwa Almasoud Author 2: Tomas E Ward

Chronic kidney disease (CKD) is one of the most critical health problems due to its increasing prevalence. In this paper, we aim to test the ability of machine learning algorithms for the prediction of chronic kidney disease using the smallest subset of features. Several statistical tests have been done to… Read full abstract & cite →

Chronic Kidney Disease (CKD) Random Forest (RF) Gradient Boosting (GB) Logistic Regression (LR) Support Vector Machines (SVM) Machine Learning (ML) prediction

Abstract doi.org/10.14569/IJACSA.2019.0100813 PDF

14

Hadoop MapReduce for Parallel Genetic Algorithm to Solve Traveling Salesman Problem

Author 1: Entesar Alanzi Author 2: Hachemi Bennaceur

Achieving an optimal solution for NP-complete problems is a big challenge nowadays. The paper deals with the Traveling Salesman Problem (TSP) one of the most important combinatorial optimization problems in this class. We investigated the Parallel Genetic Algorithm to solve TSP. We proposed a general platform based on Hadoop MapReduce… Read full abstract & cite →

Genetic algorithms parallel genetic algorithms Hadoop MapReduce island model traveling salesman problem

Abstract doi.org/10.14569/IJACSA.2019.0100814 PDF

15

Twitter Sentiment Analysis in Under-Resourced Languages using Byte-Level Recurrent Neural Model

Author 1: Ridi Ferdiana Author 2: Wiliam Fajar Author 3: Desi Dwi Purwanti Author 4: Artmita Sekar Tri Ayu Author 5: Fahim Jatmiko

Sentiment analysis in non-English language can be more challenging than the English language because of the scarcity of publicly available resources to build the prediction model with high accuracy. To alleviate this under-resourced problem, this article introduces the leverage of byte-level recurrent neural model to generate text representation for twitter… Read full abstract & cite →

Sentiment analysis under-resourced problem Indonesian dataset twitter

Abstract doi.org/10.14569/IJACSA.2019.0100815 PDF

16

Predicting Return Donor and Analyzing Blood Donation Time Series using Data Mining Techniques

Author 1: Anfal Saad Alkahtani Author 2: Musfira Jilani

Since blood centers in most countries typically rely on volunteer donors to meet the hospitals' needs, donor retention is critical for blood banks. Identifying regular donors is critical for the advance planning of blood banks to guarantee a stable blood supply. In this research, donors' data was collected from a… Read full abstract & cite →

Classification machine learning time series analysis blood donation

Abstract doi.org/10.14569/IJACSA.2019.0100816 PDF

17

Modified Farmland Fertility Optimization Algorithm for Optimal Design of a Grid-connected Hybrid Renewable Energy System with Fuel Cell Storage: Case Study of Ataka, Egypt

Author 1: Ahmed A. Zaki Diab Author 2: Sultan I. EL-Ajmi Author 3: Hamdy M. Sultan Author 4: Yahia B. Hassan

In this paper, a Modified Farmland Fertility Optimization algorithm (MFFA) has been presented for optimal sizing of a grid connected hybrid system including photovoltaic (PV), wind turbines and fuel cell (FC). The system is optimal designed for providing a clean, reliable and affordable energy by adopting hybrid power systems. This… Read full abstract & cite →

Photovoltaic wind fuel cell renewable energy hybrid energy system modified farmland fertility optimization

Abstract doi.org/10.14569/IJACSA.2019.0100817 PDF

18

Smart Rubric-based Systematic Model for Evaluating and Prioritizing Academic Practices to Enhance the Education Outcomes

Author 1: Mohammed Al-Shargabi

Recently, the impact of free-market economy, globalization, and knowledge economy has become a challenging and focal to higher educational institutions, which resulted in radical change. Therefore, it became mandatory for the academic programs to prepare highly qualified graduates to meet the new challenges, through the implementation of well-defined academic standards… Read full abstract & cite →

Systematic Model Smart Rubric NCAAA Good Practices quality of academic programs and universities improvement action plan

Abstract doi.org/10.14569/IJACSA.2019.0100818 PDF

19

Modeling of the Vegetable Oil Blends Composition

Author 1: Olga S Voskanyan Author 2: Igor A. Nikitin Author 3: Marina A. Nikitina Author 4: Maria V. Klokonos Author 5: Daria A. Guseva Author 6: Igor V. Zavalishin

The article presents a computer modeling of blends of vegetable oils for treatment-and-prophylactic and healthy nutrition. To solve this problem, based on biomedical requirements, models of vegetable oil blends have been developed, taking into account the required chemical composition, mass fractions of the main components of the product, structural correlations… Read full abstract & cite →

Modeling brute force vegetable oil blends omega-6 omega-3

Abstract doi.org/10.14569/IJACSA.2019.0100819 PDF

20

A Machine Learning Approach towards Detecting Dementia based on its Modifiable Risk Factors

Author 1: Reem Bin-Hezam Author 2: Tomas E. Ward

Dementia is considered one of the greatest global health and social care challenges in the 21st century. Fortunately, dementia can be delayed or possibly prevented by changes in lifestyle as dictated through known modifiable risk factors. These risk factors include low education, hypertension, obesity, hearing loss, depression, diabetes, physical inactivity… Read full abstract & cite →

Machine learning classification data mining data preparation dementia modifiable risk factors

Abstract doi.org/10.14569/IJACSA.2019.0100820 PDF

21

Most Valuable Player Algorithm for Solving Minimum Vertex Cover Problem

Author 1: Hebatullah Khattab Author 2: Ahmad Sharieh Author 3: Basel A. Mahafzah

Minimum Vertex Cover Problem (MVCP) is a combinatorial optimization problem that is utilized to formulate multiple real-life applications. Owing to this fact, abundant research has been undertaken to discover valuable MVCP solutions. Most Valuable Player Algorithm (MVPA) is a recently developed metaheuristic algorithm that inspires its idea from team-based sports… Read full abstract & cite →

Most valuable player algorithm minimum vertex cover problem metaheuristic algorithms optimization problem

Abstract doi.org/10.14569/IJACSA.2019.0100821 PDF

22

Non-linear Dimensionality Reduction-based Intrusion Detection using Deep Autoencoder

Author 1: S Sreenivasa Chakravarthi Author 2: R. Jagadeesh Kannan

The intrusion detection has become core part of any network of computers due to increasing amount of digital content available. In parallel, the data breaches and malware attacks have also grown in large numbers which makes the role of intrusion detection more essential. Even though many existing techniques are successfully… Read full abstract & cite →

Autoencoder deep learning principal component analysis dense neural network false alarm rate

Abstract doi.org/10.14569/IJACSA.2019.0100822 PDF

23

Towards a Classification View of Personalized e-Learning with Social Collaboration Support

Author 1: Amal Al-Abri Author 2: Yassine Jamoussi Author 3: Zuhoor AlKhanjari Author 4: Naoufel Kraiem

With the emergence of Web 2.0 technologies, interaction and collaboration support in the educational field have been augmented. These types of support embrace researchers to enrich the e-learning environment with personalized characteristics with the utilization of the collaboration support outputs. Achieving this requires understanding the existing environments and highlights their… Read full abstract & cite →

Classification review collaboration personalized e-learning social media

Abstract doi.org/10.14569/IJACSA.2019.0100823 PDF

24

An Efficient Design of RPL Objective Function for Routing in Internet of Things using Fuzzy Logic

Author 1: Adeeb Saaidah Author 2: Omar Almomani Author 3: Laila Al-Qaisi Author 4: Mohammed Kamel MADI

The nature of the Low power and lossy networks (LLNs) requires having efficient protocols capable of handling the resource constraints. LLNs consist of networks that connect different type of devices which has constraints resources such as energy, memory and battery life. Using the standard routing protocols such as Open Shortest… Read full abstract & cite →

RPL Objective Function IOT fuzzy logic LLNs

Abstract doi.org/10.14569/IJACSA.2019.0100824 PDF

25

Modelling the Enterprise Architecture Implementation in the Public Sector using HOT-Fit Framework

Author 1: Hasimi Sallehudin Author 2: Nurhizam Safie Mohd Satar Author 3: Nur Azaliah Abu Bakar Author 4: Rogis Baker Author 5: Farashazillah Yahya Author 6: Ahmad Firdause Md Fadzil

Enterprise architecture is very important to the public sector’s IT systems that are developed, organized, scaled up, maintained and strategized. Despite an extensive literature, the research of enterprise architecture is still at the early stage in public the sector and the reason to explain the acceptance, as well as the… Read full abstract & cite →

Enterprise architecture public sector HOT-Fit

Abstract doi.org/10.14569/IJACSA.2019.0100825 PDF

26

Robot Arm Analysis based on Master Device Pneumatic Actuators

Author 1: Mohd Aliff Author 2: Nor Samsiah Sani

Advances in technology have expanded the use of soft actuators in various fields especially in robotics, rehabilitation and medical field. Soft actuator development provides many advantages, primarily being simple structures, high power to weight ratio, good compliance, high water resistance and low production cost. However, most soft actuators suffer the… Read full abstract & cite →

Trajectory control master-slave control robot arm pneumatic cylinder

Abstract doi.org/10.14569/IJACSA.2019.0100826 PDF

27

Attractiveness Analysis of Quiz Games

Author 1: Tara Khairiyah Md Zali Author 2: Nor Samsiah Sani Author 3: Abdul Hadi Abd Rahman Author 4: Mohd Aliff

Quiz games are played on platforms such as television game shows, radio game shows, and recently, on mobile apps. In this study, HQ Trivia and SongPop 2 were chosen as the benchmark. Each game data have been collected for the analysis and the game refinement measure was employed for the… Read full abstract & cite →

Quiz games game refinement theory attractiveness

Abstract doi.org/10.14569/IJACSA.2019.0100827 PDF

28

A Survey: Agent-based Software Technology Under the Eyes of Cyber Security, Security Controls, Attacks and Challenges

Author 1: Bandar Alluhaybi Author 2: Mohamad Shady Alrahhal Author 3: Ahmed Alzhrani Author 4: Vijey Thayananthan

Recently, agent-based software technology has received wide attention by the research community due to its valuable benefits, such as reducing the load on networks and providing an efficient solution for the transmission challenge problem. However, the major concern in building agent-based systems is related to the security of agents. In… Read full abstract & cite →

Agent attack cyber security requirement maturity protection goals

Abstract doi.org/10.14569/IJACSA.2019.0100828 PDF

29

Indoor Positioning System using Regression-based Fingerprint Method

Author 1: Reginald Putra Ghozali Author 2: Gede Putra Kusuma

Indoor Positioning System has opportunity to be used in different business platform. Based on past research, optimized localization method for Bluetooth Low Energy (BLE) to predict position of person or object with high accuracy has not been found yet. Most recent research that have solve Received Signal Strength (RSS) inconsistent… Read full abstract & cite →

Indoor positioning system fingerprinting regression machine learning convolutional neural network

Abstract doi.org/10.14569/IJACSA.2019.0100829 PDF

30

A New Security Model for Web Browser Local Storage

Author 1: Thamer Al-Rousan Author 2: Bassam Al-Shargabi Author 3: Hasan Abualese

In recent years, the web browser has taken over many roles of the traditional operating system, such as acting as a host platform for web applications. Web browser storage, where the web applications can save data locally was one of the new functionalities added in HTML5. However, web functionality has… Read full abstract & cite →

HTML5 security local storage

Abstract doi.org/10.14569/IJACSA.2019.0100830 PDF

31

A Novel Approach for Dimensionality Reduction and Classification of Hyperspectral Images based on Normalized Synergy

Author 1: Asma Elmaizi Author 2: Hasna Nhaila Author 3: Elkebir Sarhrouni Author 4: Ahmed Hammouch Author 5: Nacir Chafik

During the last decade, hyperspectral images have attracted increasing interest from researchers worldwide. They provide more detailed information about an observed area and allow an accurate target detection and precise discrimination of objects compared to classical RGB and multispectral images. Despite the great potentialities of hyperspectral technology, the analysis and… Read full abstract & cite →

Hyperspectral images target detection pixel classification dimensionality reduction band selection information theory mutual information normalized synergy

Abstract doi.org/10.14569/IJACSA.2019.0100831 PDF

32

Muscle Electro Stimulator for the Reduction of Stretch Marks

Author 1: Paima-Sahuma Jaime Author 2: Duran-Berrio Linder Author 3: Palacios-Cusiyunca Chrisstopher Author 4: Roman-Gonzalez Avid

The problem of stretch marks is generated because the skin stretches abruptly in a short time; this change causes the skin to deform and widen, forming a roughness. This roughness is what is known as stretch marks. This document arose from the need to reduce the deformation in the skin… Read full abstract & cite →

Electro stimulator stretch marks muscle fibers

Abstract doi.org/10.14569/IJACSA.2019.0100832 PDF

33

Robust Video Content Authentication using Video Binary Pattern and Extreme Learning Machine

Author 1: Mubbashar Sadddique Author 2: Khurshid Asghar Author 3: Tariq Mehmood Author 4: Muhammad Hussain Author 5: Zulfiqar Habib

Recently, due to easy accessibility of smartphones, digital cameras and other video recording devices, a radical enhancement has been experienced in the field of digital video technology. Digital videos have become very vital in court of law and media (print, electronic and social). On the other hand, a widely-spread availability… Read full abstract & cite →

Video forgery spatial video forgery passive forgery detection Video Binary Pattern (VBP) feature extraction

Abstract doi.org/10.14569/IJACSA.2019.0100833 PDF

34

Automated Greenhouses for the Reduction of the Cost of the Family Basket in the District of Villa El Salvador-Perú

Author 1: Pedro Romero Huaroto Author 2: Abraham Casanova Robles Author 3: Nicolh Antony Ciriaco Susanibar Author 4: Avid Roman-Gonzalez

Today, the cost of the family basket is gradually increasing, not only globally but also in our country. This increase includes the demand for vegetables and fresh vegetables that allow people to improve their quality of life. Also, this consists of the search for a healthier and more natural diet… Read full abstract & cite →

Germination protocol i2c hummus atmega

Abstract doi.org/10.14569/IJACSA.2019.0100834 PDF

35

Learning Analytics Framework for Adaptive E-learning System to Monitor the Learner’s Activities

Author 1: Salma EL Janati Author 2: Abdelilah Maach Author 3: Driss El Ghanami

The adaptive e-learning system (AE-LS) research has long focused on the learner model and learning activities to personalize the learner’s experience. However, there are many unresolved issues that make it difficult for trainee teachers to obtain appropriate information about the learner's behavior. The evolution of the Learning Analytics (LA) offers… Read full abstract & cite →

e-Learning adaptive e-learning system learner model learning analytics business intelligence data warehouse content presentation

Abstract doi.org/10.14569/IJACSA.2019.0100835 PDF

36

Machine Learning Approaches for Predicting the Severity Level of Software Bug Reports in Closed Source Projects

Author 1: Aladdin Baarah Author 2: Ahmad Aloqaily Author 3: Zaher Salah Author 4: Mannam Zamzeer Author 5: Mohammad Sallam

In Software Development Life Cycle, fixing defect bugs is one of the essential activities of the software maintenance phase. Bug severity indicates how major or minor the bug impacts on the execution of the system and how rapidly the developer should fix it. Triaging a vast amount of new bugs… Read full abstract & cite →

Software engineering software maintenance bug tracking system bug severity data mining machine learning severity prediction closed-source projects

Abstract doi.org/10.14569/IJACSA.2019.0100836 PDF

37

Steganography Performance over AWGN Channel

Author 1: Fahd Alharbi

Steganography can be performed using frequency domain or spatial domain. In spatial domain method, the least significant bits (LSB) is the mostly used method where the least significant bits of the image's pixels binary representation are used to carry the confidential data bits. On the other hand, secret data bits… Read full abstract & cite →

Steganography robustness noise AWGN viterbi

Abstract doi.org/10.14569/IJACSA.2019.0100837 PDF

38

Cloud Security based on the Homomorphic Encryption

Author 1: Waleed T Al-Sit Author 2: Qussay Al-Jubouri Author 3: Hani Al-Zoubi

Cloud computing provides services rather than products; where it offers many benefits to clients who pay to use hardware and software resources. There are many advantages of using cloud computing such as low cost, easy to maintain, and available resources. The main challenge in the Cloud system is how to… Read full abstract & cite →

Cloud computing homomorphic encryption security

Abstract doi.org/10.14569/IJACSA.2019.0100838 PDF

39

Video Analysis with Faces using Harris Detector and Correlation

Author 1: Rodolfo Romero Herrera Author 2: Francisco Gallegos Funes Author 3: José Elias Romero Martínez

A procedure is presented to detect changes in a video sequence based on the Viola & Jones Method to obtain images of faces of persons; videos are taken of the web. The software allows to obtain images or frames separated from nose, mouth, and eyes but the case of the… Read full abstract & cite →

Harris detect Viola and Jones Harris detector correlation video

Abstract doi.org/10.14569/IJACSA.2019.0100839 PDF

40

Mapping of Independent Tasks in the Cloud Computing Environment

Author 1: Biswajit Nayak Author 2: Sanjay Kumar Padhi

Cloud computing is a technology that provides many resources and facility to share data. Due to the concept of open environment in the cloud computing the request or data increases quickly. So this problem can be solved by proper utilization of tasks along with available resources. Task scheduling algorithm plays… Read full abstract & cite →

Scheduling mixed model cloud computing makespan healthcare

Abstract doi.org/10.14569/IJACSA.2019.0100840 PDF

41

Convolutional Neural Network Architecture for Plant Seedling Classification

Author 1: Heba A Elnemr

Weed control is a challenging problem that may face crops productivity. Weeds are perceived as an important problem because they conduce to reduce crop yields due to the expanding competition for nutrients, water, and sunlight besides they serve as hosts for diseases and pests. Thus, it is crucial to identify… Read full abstract & cite →

Deep learning convolutional neural network plant seedling classification weed control

Abstract doi.org/10.14569/IJACSA.2019.0100841 PDF

42

A Methodology for Engineering Domain Ontology using Entity Relationship Model

Author 1: Muhammad Ahsan Raza Author 2: M. Rahmah Author 3: Sehrish Raza Author 4: A. Noraziah Author 5: Roslina Abd. Hamid

Ontology engineering is an important aspect of semantic web vision to attain the meaningful representation of data. Although various techniques exist for the creation of ontology, most of the methods involve the number of complex phases, scenario-dependent ontology development, and poor validation of ontology. This research work presents a lightweight… Read full abstract & cite →

Ontology engineering semantic web ontology validation knowledge management

Abstract doi.org/10.14569/IJACSA.2019.0100842 PDF

43

An Evaluation Model for Auto-generated Cognitive Scripts

Author 1: Ahmed M ELMougi Author 2: Rania Hodhod Author 3: Yasser M. K. Omar

Autonomous intelligent agents have become a very important research area in Artificial Intelligence (AI). Socio-cultural situations are one challenging area in which autonomous intelligent agents can acquire new knowledge or modify existing one. Socio-cultural situations can be best represented in the form of cognitive scripts that can allow different techniques… Read full abstract & cite →

Autonomous intelligent agents socio-cultural situations cognitive scripts conceptual blending contextual structural retrieval algorithms text coherence sentence embedding

Abstract doi.org/10.14569/IJACSA.2019.0100843 PDF

44

Systematic Literature Review of Identifying Issues in Software Cost Estimation Techniques

Author 1: Muhammad Asif Saleem Author 2: Rehan Ahmad Author 3: Tahir Alyas Author 4: Muhammad Idrees Author 5: Asfandayar Author 6: Asif Farooq Author 7: Adnan Shahid Khan Author 8: Kahawaja Ali

Software cost estimation plays a vital role in software project management. It is a process of predicting the effort and cost in terms of money and staff required for developing the software system. It is very much clear that software project will be successful if its estimated cost will be… Read full abstract & cite →

Cost estimation COCOMO qualitative use case point PCA

Abstract doi.org/10.14569/IJACSA.2019.0100844 PDF

45

A Novel Student Clustering Model for the Learning Simplification in Educational Environments

Author 1: Khalaf Khatatneh Author 2: Islam Khataleen Author 3: Rami Alshwaiyat Author 4: Mohammad Wedyan

Students’ clustering is considered to be a method of granting students many different ways of being able to learn by taking into account the student’s degree. The definition of clustering can be “a group of steps that divide a group of information or (things) in a group of valuable secondary… Read full abstract & cite →

Clustering students groups education inter-active ways students’ clustering student’s degree valuable secondary classes

Abstract doi.org/10.14569/IJACSA.2019.0100845 PDF

46

Classifying Cardiotocography Data based on Rough Neural Network

Author 1: Belal Amin Author 2: Mona Gamal Author 3: A. A. Salama Author 4: I.M. El-Henawy Author 5: Khaled Mahfouz

Cardiotocography is a medical device that monitors fetal heart rate and the uterine contraction during the period of pregnancy. It is used to diagnose and classify a fetus state by doctors who have challenges of uncertainty in data. The Rough Neural Network is one of the most common data mining… Read full abstract & cite →

Accuracy rate cardiotocography data mining rough neural network WEKA tool

Abstract doi.org/10.14569/IJACSA.2019.0100846 PDF

47

Hospital Queue Control System using Quick Response Code (QR Code) as Verification of Patient’s Arrival

Author 1: Ridho Hendra Yoga Perdana Author 2: Hudiono Author 3: Mochammad Taufik Author 4: Amalia Eka Rakhmania Author 5: Rohman Muhamad Akbar Author 6: Zainul Arifin

Hospital is an organization that primarily provides services in the form of examination, treatment, medical treatment and other diagnostic measures required by each patient in the limits of the technology and the means provided by the hospital. So that patients get the maximum service, hospitals have to provide the best… Read full abstract & cite →

Queue hospital patient quick response code registration

Abstract doi.org/10.14569/IJACSA.2019.0100847 PDF

48

Artificial Immune-based Algorithm for Academic Leadership Assessment

Author 1: Hamidah Jantan Author 2: Nur Hamizah Syafiqah Che Azemi Author 3: Zulaiha Ali Othman

Artificial Immune-based algorithm is inspired by the biological immune system as computational intelligence approach in data analysis. Negative selection algorithm is derived from immune-based algorithm’s family that used to recognize the pattern’s changes perform by the gene detectors in complementary state. Due to the self-recognition ability, this algorithm is widely… Read full abstract & cite →

Immune-based algorithm negative selection algorithm academic leadership performance assessment

Abstract doi.org/10.14569/IJACSA.2019.0100848 PDF

49

Antennas of Circular Waveguides

Author 1: Cusacani Guerrero Author 2: Julio Agapito Author 3: Roman-Gonzalez Avid

The design of the circular waveguide antenna is proposed for displacement reflector antennas. For them, we use the frequencies of operation so that our waveguide generates the mode, (Transversal Electric), resulting in a high impedance bandwidth. The results obtained from the radiation pattern of the fabricated antenna give excellent results… Read full abstract & cite →

Circular waveguide antenna mode microwave oven

Abstract doi.org/10.14569/IJACSA.2019.0100849 PDF

50

Pedestrian Crossing Safety System at Traffic Lights based on Decision Tree Algorithm

Author 1: Denny Hardiyanto Author 2: Iswanto Author 3: Dyah Anggun Sartika Author 4: Muamar Rojali

Pedestrians are one of the street users who have the right to get priority on security. Highway users such as vehicle drivers sometimes violate the traffic lights that is endanger pedestrians and make pedestrians feel insecure when crossing the street. Based on this problem, a tool is designed to provide… Read full abstract & cite →

Pedestrian safety decision tree algorithm: traffic light spraying water

Abstract doi.org/10.14569/IJACSA.2019.0100850 PDF

51

Autonomous Monitoring System using Wi-Fi Economic

Author 1: Michael Ames Ccoa Garay Author 2: Avid Roman-Gonzalez

In this project, it is presented the implementation of an autonomous monitoring system using solar panels and connecting to the network through Wi-Fi. The system will collect meteorological data and transmit in real-time to the web for the visualization and analysis of the results over temperature, humidity, and atmospheric pressure… Read full abstract & cite →

Wemos d1 mini-skirt Wi-Fi sensor internet

Abstract doi.org/10.14569/IJACSA.2019.0100851 PDF

52

Impact of ICT on Students’ Academic Performance: Applying Association Rule Mining and Structured Equation Modeling

Author 1: Mohammad Aman Ullah Author 2: Mohammad Manjur Alam Author 3: Ahmed Shan-A-Alahi Author 4: Mohammed Mahmudur Rahman Author 5: Abdul Kadar Muhammad Masum Author 6: Nasrin Akter

Information and communication technology (ICT) plays a significant role in university students’ academic performance. This research examined the effect of ICT on the students’ academic performance at different private universities in Chittagong, Bangladesh. Primary data have been collected from the students of those universities using a survey questionnaire. Descriptive Statistics… Read full abstract & cite →

Information and Communication Technology (ICT) student academic performance association rule mining

Abstract doi.org/10.14569/IJACSA.2019.0100852 PDF

53

WhatsApp as an Educational Support Tool in a Saudi University

Author 1: Ahmad J Reeves Author 2: Salem Alkhalaf Author 3: Mohamed A. Amasha

WhatsApp is a widely used social media app, growing in popularity across the Middle East, and the most popular in Saudi Arabia. In this paper, we investigate the usage of WhatsApp as an educational support tool in a Saudi university. An online survey was constructed to ascertain how students and… Read full abstract & cite →

Online learning WhatsApp e-learning blackboard communication mobile learning

Abstract doi.org/10.14569/IJACSA.2019.0100853 PDF

54

Real-Time Intelligent Parking Entrance Management

Author 1: Sofia Belkhala Author 2: Siham Benhadou Author 3: Hicham Medromi

To help improve the situation of urban transport in the city of Casablanca, we have studied and set up a smart parking system. In this paper, we evaluate the management of the parking entrance utilising artificial intelligence. In addition, we want to establish the limits of our solution and its… Read full abstract & cite →

Urban mobility smart parking IoT artificial intelligence agent multi agent system queuing theory

Abstract doi.org/10.14569/IJACSA.2019.0100854 PDF

55

LUCIDAH Ligative and Unligative Characters in a Dataset for Arabic Handwriting

Author 1: Yousef Elarian Author 2: Irfan Ahmad Author 3: Abdelmalek Zidouri Author 4: Wasfi G. Al-Khatib

Arabic script is inherently cursive, even when machine-printed. When connected to other characters, some Arabic characters may be optionally written in compact aesthetic forms known as ligatures. It is useful to distinguish ligatures from ordinary characters for several applications, especially automatic text recognition. Datasets that do not annotate these ligatures… Read full abstract & cite →

Arabic ligatures automatic text recognition handwriting datasets Hidden Markov Models

Abstract doi.org/10.14569/IJACSA.2019.0100855 PDF

56

An Efficient Normalized Restricted Boltzmann Machine for Solving Multiclass Classification Problems

Author 1: Muhammad Aamir Author 2: Nazri Mohd Nawi Author 3: Fazli Wahid Author 4: Hairulnizam Mahdin

Multiclass classification based on unlabeled images using computer vision and image processing is currently an important issue. In this research, we focused on the phenom-ena of constructing high-level features detector for class-driven unlabeled data. We proposed a normalized restricted Boltzmann machine (NRBM) to form a robust network model. The proposed… Read full abstract & cite →

Multiclass classification restricted Boltzmann ma-chine Polyak averaging image classification Modified National Institute of Standards and Technology Datasets

Abstract doi.org/10.14569/IJACSA.2019.0100856 PDF

57

Key Schedule Algorithm using 3-Dimensional Hybrid Cubes for Block Cipher

Author 1: Muhammad Faheem Mushtaq Author 2: Sapiee Jamel Author 3: Siti Radhiah B. Megat Author 4: Urooj Akram Author 5: Mustafa Mat Deris

A key scheduling algorithm is the mechanism that generates and schedules all session-keys for the encryption and decryption process. The key space of conventional key schedule algorithm using the 2D hybrid cubes is not enough to resist attacks and could easily be exploited. In this regard, this research proposed a… Read full abstract & cite →

Encryption decryption key schedule algorithm hybrid cube block cipher

Abstract doi.org/10.14569/IJACSA.2019.0100857 PDF

58

Web Service Testing Techniques: A Systematic Literature Review

Author 1: Israr Ghani Author 2: Wan M.N. Wan-Kadir Author 3: Ahmad Mustafa

These days continual demands on loosely coupled systems have web service gives basic necessities to deliver resolution that are adaptable and sufficient to be work at runtime for maintaining the high quality of the system. One of the basic techniques to evaluate the quality of such systems is through testing… Read full abstract & cite →

Quality assurance web service testing web service testing techniques web service component testing

Abstract doi.org/10.14569/IJACSA.2019.0100858 PDF

59

Deep Transfer Learning Application for Automated Ischemic Classification in Posterior Fossa CT Images

Author 1: Anis Azwani Muhd Suberi Author 2: Wan Nurshazwani Wan Zakaria Author 3: Razali Tomari Author 4: Ain Nazari Author 5: Mohd Norzali Hj Mohd Author 6: Nik Farhan Nik Fuad

Computed Tomography (CT) imaging is one of the conventional tools used to diagnose ischemic in Posterior Fossa (PF). Radiologist commonly diagnoses ischemic in PF through CT imaging manually. However, such a procedure could be strenuous and time consuming for large scale images, depending on the expertise and ischemic visibility. With… Read full abstract & cite →

Deep learning ischemic stroke posterior fossa classification convolutional neural network computed tomography medical diagnosis

Abstract doi.org/10.14569/IJACSA.2019.0100859 PDF

60

Effect of e-Commerce Platforms towards Increasing Merchant’s Income in Malaysia

Author 1: M Hafiz Yusoff Author 2: Mohammad Ahmed Alomari Author 3: Nurul Adilah Abdul Latiff Author 4: Motea S. Alomari

In 2018, ‘Hootsuite’ and ‘We Are Social’ have reported in their Digital Report that Malaysian Internet users had increased to 25.08 million users, representing 79% of Malaysian population. However, some reports indicate that even with the enhancement of digital technology, many merchants are still not using any e-commerce platform and… Read full abstract & cite →

Income increase e-commerce merchant Malaysia e-retailing

Abstract doi.org/10.14569/IJACSA.2019.0100860 PDF

61

Novel Adaptive Auto-Correction Technique for Enhanced Fingerprint Recognition

Author 1: Thejaswini P Author 2: Srikantaswamy R S Author 3: Manjunatha A S

Fingerprints are the most used biometric trait in applications where high level of security is required. Fingerprint image may vary due to various environmental conditions like temperature, humidity, weather etc. Hence, it is necessary to design a fingerprint recognition system that is robust against temperature variations. Existing techniques such as… Read full abstract & cite →

Minutiae Euclidean distance artificial neural network CN- crossing number reference auto-correction adaptive method ISO template auto-correction algorithm

Abstract doi.org/10.14569/IJACSA.2019.0100861 PDF

62

Empirical Study of Segment Particle Swarm Optimization and Particle Swarm Optimization Algorithms

Author 1: Mohammed Adam Kunna Azrag Author 2: Tuty Asmawaty Abdul Kadir

In this paper, the performance of segment particle swarm optimization (Se-PSO) algorithm was compared with that of original particle swarm optimization (PSO) algorithm. Four different benchmark functions of Sphere, Rosenbrock, Rastrigin, and Griewank with asymmetric initial range settings (upper and lower boundaries values) were selected as the test functions. The… Read full abstract & cite →

Se-PSO PSO sphere Rosenbrock Rastrigin Griewank

Abstract doi.org/10.14569/IJACSA.2019.0100862 PDF

63

An Efficient Deep Learning Model for Olive Diseases Detection

Author 1: Madallah Alruwaili Author 2: Saad Alanazi Author 3: Sameh Abd El-Ghany Author 4: Abdulaziz Shehab

Worldwide, plant diseases adversely influence both the quality and quantity of crop production. Thus, the early detection of such diseases proves efficient in enhancing the crop quality and reducing the production loss. However, the detection of plant diseases either via the farmers' naked eyes or their traditional tools or even… Read full abstract & cite →

Deep learning AlexNet conventional neural networks plant diseases olive feature extraction

Abstract doi.org/10.14569/IJACSA.2019.0100863 PDF

64

Biotechnical System for Recording Phonocardiography

Author 1: Marwan Ahmed Ahmed Hamid Author 2: Maria Abdullah Author 3: Najeed Ahmed Khan Author 4: Yasmin Mohammed Ahmed AL-Zoom

The Phonocardiography is a graphical method of recording of the tones and noise generated by the heart with the help of the phonocardiogram machine. Cardiovascular disease (CVD) and heart failure (HF) are considered life-threatening and mostly cause death. The phonocardiograph signal (PCG) considers an indicator of abnormalities in the cardiovascular… Read full abstract & cite →

Phonocardiograph (PCG) cardiovascular diseases (CVD) heart failure (HF) electrocardiograph (ECG)

Abstract doi.org/10.14569/IJACSA.2019.0100864 PDF

65

A Guideline for Decision-making on Business Intelligence and Customer Relationship Management among Clinics

Author 1: Nur Izzati Yusof Author 2: Norziha Megat Mohd. Zainuddin Author 3: Noor Hafizah Hassan Author 4: Nilam Nur Amir Sjarif Author 5: Suraya Yaacob Author 6: Wan Azlan Wan Hassan

Business intelligence offers the capability to gain insights and perform better in decision-making by using a particular set of technologies and tools. A company’s success to a certain extent depends on customers. The complementary of business intelligence and customer relationship management will improve the efficiency of organizations, hence increase productivity… Read full abstract & cite →

Business intelligence customer relationship management decision-making guideline

Abstract doi.org/10.14569/IJACSA.2019.0100865 PDF

66

Cognitive Neural Network Classifier for Fault Management in Cloud Data Center

Author 1: S Indirani Author 2: C.Jothi Venkateswaran

Pro-actively handling the fault in data center is a means to allocate the VM to Host before failures, so that SLA meets for the tasks running in the data center. Existing solution [1] on fault prediction in datacenter is based on a single parameter of temperature and the fault tolerance… Read full abstract & cite →

Deep learning Cognitive Neural Network (CNN) FP-Score fault tolerance VM allocation VM migration

Abstract doi.org/10.14569/IJACSA.2019.0100866 PDF

67

Deep Learning Classification of Biomedical Text using Convolutional Neural Network

Author 1: Rozilawati Dollah Author 2: Chew Yi Sheng Author 3: Norhawaniah Zakaria Author 4: Mohd Shahizan Othman Author 5: Abd Wahid Rasib

In this digital era, the document entries have been increasing days by days, causing a situation where the volume of the document entries in overwhelming. This situation has caused people to encounter with problems such as congestion of data, difficulty in searching the intended information or even difficulty in managing… Read full abstract & cite →

Convolutional neural network biomedical text classification compound term Ohsumed dataset

Abstract doi.org/10.14569/IJACSA.2019.0100867 PDF

68

Acquisition and Classification System of EMG Signals for Interpreting the Alphabet of the Sign Language

Author 1: Alvarado-Diaz Witman Author 2: Meneses-Claudio Brian Author 3: Fiorella Flores-Medina Author 4: Patricia Condori Author 5: Natalia I. Vargas-Cuentas Author 6: Avid Roman-Gonzalez

Taking into account that in Peru, there is an increase in people with difficulties in speaking or communicating. According to the National Institute of Statistics and Informatics of Peru (INEI for its acronym in Spanish), around 80000 people use the gesturing language. For this reason, this research proposes to use… Read full abstract & cite →

Electromyography EMG sign language essential communication recognize the letters

Abstract doi.org/10.14569/IJACSA.2019.0100868 PDF

69

Implementation of a Beowulf Cluster and Analysis of its Performance in Applications with Parallel Programming

Author 1: Enrique Lee Huamaní Author 2: Patricia Condori Author 3: Avid Roman-Gonzalez

In the Image Processing Research Laboratory (INTI-Lab) of the Universidad de Ciencias y Humanidades, the permission to use the embedded systems laboratory was obtained. INTI-Lab researchers will use this laboratory to do different research related to the processing of large scale videos, climate predictions, climate change research, physical simulations, among… Read full abstract & cite →

High-performance cluster distributed programming computational parallelism Beowulf cluster high-efficiency computing

Abstract doi.org/10.14569/IJACSA.2019.0100869 PDF

70

An Internet of Things (IOT) based Smart Parking Routing System for Smart Cities

Author 1: Elgarej Mouhcine Author 2: Karouani Yassine Author 3: El Fazazi Hanaa Author 4: Khalifa Mansouri Author 5: Youssfi Mohamed

Recently, the number of cars on the road has been growing due to the increase in car manufacturing in parallel with customer services provided to help the new driver to buy cars at affordable prices. On the other hand, we find that the infrastructure of big cities cannot support this… Read full abstract & cite →

Intelligent traffic system internet of things swarm intelligent ant colony optimization vehicle routing system multi-agent system smart parking system smart cities cloud computing system

Abstract doi.org/10.14569/IJACSA.2019.0100870 PDF

71

An Automated Approach for Identification of Non-Functional Requirements using Word2Vec Model

Author 1: Muhammad Younas Author 2: Karzan Wakil Author 3: Dayang N. A. Jawawi Author 4: Muhammad Arif Shah Author 5: Ahmad Mustafa

Non-Functional Requirements (NFR) are embedded in functional requirements in requirements specification docu-ment. Identification of NFR from the requirement document is a challenging task. Ignorance of NFR identification in early stages of development increase cost and ultimately cause the failure of the system. The aim of this approach is to help… Read full abstract & cite →

Identification non-functional requirements seman-tic similarity Word2Vec model

Abstract doi.org/10.14569/IJACSA.2019.0100871 PDF

72

VoIP QoS Analysis over Asterisk and Axon Servers in LAN Environment

Author 1: Naveed Ali Khan Author 2: Abdul Sattar Chan Author 3: Kashif Saleem Author 4: Zuhaibuddin Bhutto Author 5: Ayaz Hussain

Voice over IP (VoIP) is a developing technology and a key factor in both the emerging cyberspace engineering and also an accomplishment to set up its position in the telecom industry. VoIP technology is based on internet technology; where data packets switching system is used rather than circuit switching. Whereas… Read full abstract & cite →

VoIP asterisk axon computational based QoS LAN packet loss

Abstract doi.org/10.14569/IJACSA.2019.0100872 PDF

73

Privacy Preserving Data Mining Approach for IoT based WSN in Smart City

Author 1: Ahmed M Khedr Author 2: Walid Osamy Author 3: Ahmed Salim Author 4: Abdel-Aziz Salem

Wireless Sensor Network (WSN) is one of the most fundamental technologies of Internet of Things (IoT). Various IoT devices are connected to the internet by making use of WSN composed of different sensor nodes and actuators, where these sensor nodes collaborate and accomplish their tasks dynamically. The main objective of… Read full abstract & cite →

Distributed cluster-based algorithm association rules Internet of Things (IoT) privacy preserving vertically and horizontally distributed databases wireless sensor networks (WSN)

Abstract doi.org/10.14569/IJACSA.2019.0100873 PDF

74

Efficient Distributed SPARQL Queries on Apache Spark

Author 1: Saleh Albahli

RDF is a widely-accepted framework for describing metadata in the web due to its simplicity and universal graph-like data model. Owing to the abundance of RDF data, existing query techniques are rendered unsuitable. To this direction, we adopt the processing power of Apache Spark to load and query a large… Read full abstract & cite →

Semantic web RDF SPARQL SPARK GraphX triple patterns

Abstract doi.org/10.14569/IJACSA.2019.0100874 PDF

75

A Modular Aspect-Oriented Programming Approach of Join Point Interfaces

Author 1: Cristian Vidal Author 2: Erika Madariaga Author 3: Claudia Jim´enez Author 4: Luis Carter

This paper describes and analyzes the main differ-ences and advantages of the Join Point Interfaces (JPI) as an Aspect-Oriented Programming (AOP) approach for the modular software production concerning the standard aspect-oriented pro-gramming methodology for Java (AspectJ) to propose a structural modeling approach looking for modular software solutions. Using a Software… Read full abstract & cite →

Aspect-Oriented Programming AspectJ JPI class diagrams UML

Abstract doi.org/10.14569/IJACSA.2019.0100875 PDF

76

Artificial Potential Field Algorithm Implementation for Quadrotor Path Planning

Author 1: Iswanto Iswanto Author 2: Alfian Ma’arif Author 3: Oyas Wahyunggoro Author 4: Adha Imam Cahyadi

Potential field algorithm introduced by Khatib is well-known in path planning for robots. The algorithm is very simple yet provides real-time path planning and effective to avoid robot’s collision with obstacles. The purpose of the paper is to implement and modify this algorithm for quadrotor path planning. The conventional potential… Read full abstract & cite →

Quadrotor path planning GNRON (Goal Nonreachable with Obstacles Nearby) artificial potential field local minima

Abstract doi.org/10.14569/IJACSA.2019.0100876 PDF

77

New Transport Layer Security using Metaheuristics and New Key Exchange Protocol

Author 1: Mohamed Kaddouri Author 2: Mohammed Bouhdadi Author 3: Zakaria Kaddouri Author 4: Driss Guerchi

The easiness of data transmission is one of the information security flaws that needs to be handled rigorously. It makes eavesdropping, tampering and message forgery by malicious more simple. One of the protocols developed to secure communication between the client and the server consists of using Transport Layer Security (TLS)… Read full abstract & cite →

Transport Layer Security (TLS) metaheuristic symmetric ciphering algorithm private key exchange hash func-tion

Abstract doi.org/10.14569/IJACSA.2019.0100877 PDF

78

Arabic Lexicon Learning to Analyze Sentiment in Microblogs

Author 1: Mahmoud B Rokaya Author 2: Ahmed S. Ghiduk Author 3: Mahmoud B. Rokaya Author 4: Ahmed S. Ghiduk

The study and classifying of opinions distilled from social media is called sentiment analysis. The goal of this study is to build an adaptive sentiment lexicon for Arabic language. Based on those lexicons the sentiments polarity classification can be improved. The classification problem will be stated as a mathematical programming… Read full abstract & cite →

Sentiment analysis sentiment lexicon social media twitter optimization mathematical programming genetic algorithm evolutionary computation arabic language

Abstract doi.org/10.14569/IJACSA.2019.0100878 PDF

79

An Efficient Segmentation of Retinal Blood Vessels using Singular Value Decomposition and Morphological Operator

Author 1: N. C Santosh Kumar Author 2: Y. Radhika

The extensive study on retinal fundus images has become an essential part in medical domain to detect pathologies including diabetic retinopathy, cataract, glaucoma, macular degeneration,etc.which are the major causes of blindness. Automatic extraction of tree-shaped and unique retinal vascular structure from retinal fundus images is most exigent task and when… Read full abstract & cite →

Singular value decomposition left singular vector matrix feature extraction average filter ISODAT Athresholding morphological operators stare anddrive databases

Abstract doi.org/10.14569/IJACSA.2019.0100879 PDF

80

A Survey of Various Frameworks and Solutions in all Branches of Digital Forensics with a Focus on Cloud Forensics

Author 1: Mohammed Khanafseh Author 2: Mohammad Qatawneh Author 3: Wesam Almobaideen

Digital forensics is a class of forensic science interested with the use of digital information produced, stored and transmitted by various digital devices as source of evidence in investigations and legal proceedings. Digital forensics can be split up to several classes such as computer forensics, network forensics, mobile forensics, cloud… Read full abstract & cite →

Digital forensics cloud forensics investigation process IoT forensics examination stage evidence

Abstract doi.org/10.14569/IJACSA.2019.0100880 PDF