IJACSA Vol. 9 Issue 8 (2018)

1

Framework Utilizing Machine Learning to Facilitate Gait Analysis as an Indicator of Vascular Dementia

Author 1: Arshia Khan Author 2: Janna Madden Author 3: Kristine Snyder

Vascular dementia (VD), the second most common type of dementia, effects approximately 13.9 per cent of people over the age of 71 in the United States alone. 26% of individuals develop VD after being diagnosed with congestive heart failure. Memory and cognition are increasingly affected as dementia progresses. However, these… Read full abstract & cite →

Gait machine learning vascular dementia early diagnosis indicators gait analysis

Abstract doi.org/10.14569/IJACSA.2018.090801 PDF

2

Recognition of Ironic Sentences in Twitter using Attention-Based LSTM

Author 1: Andrianarisoa Tojo Martini Author 2: Makhmudov Farrukh Author 3: Hongwei Ge

Analyzing written language is an interesting topic that has been studied by many disciplines. Recently, due to the explosive growth of Internet, social media has become an attractive source of searching and getting information for research purposes on written communication. It is true that different words in a sentence serve… Read full abstract & cite →

Irony detection attention attention mechanism sentiment analysis long-short-term memory

Abstract doi.org/10.14569/IJACSA.2018.090802 PDF

3

The Role of Camera Convergence in Stereoscopic Video See-through Augmented Reality Displays

Author 1: Fabrizio Cutolo Author 2: Vincenzo Ferrari

In the realm of wearable augmented reality (AR) systems, stereoscopic video see-through displays raise issues related to the user’s perception of the three-dimensional space. This paper seeks to put forward few considerations regarding the perceptual artefacts common to standard stereoscopic video see-through displays with fixed camera convergence. Among the possible… Read full abstract & cite →

Augmented reality and visualization stereoscopic display stereo overlap video see-through

Abstract doi.org/10.14569/IJACSA.2018.090803 PDF

4

Comparison of Event Choreography and Orchestration Techniques in Microservice Architecture

Author 1: Chaitanya K. Rudrabhatla

Microservice Architecture (MSA) is an architectural design pattern which was introduced to solve the challenges involved in achieving the horizontal scalability, high availability, modularity and infrastructure agility for the traditional monolithic applications. Though MSA comes with a large set of benefits, it is challenging to design isolated services using independent… Read full abstract & cite →

Microservice architecture database per service pattern Saga pattern orchestration event choreography No-SQL database 2 phase commit

Abstract doi.org/10.14569/IJACSA.2018.090804 PDF

5

Location-based E-Commerce Services: (Re-) Designing using the ISO9126 Standard

Author 1: Antonia Stefani Author 2: Bill Vassiliadis Author 3: Theofanis Efthimiades

E-commerce services based on user geographic location have emerged as a particularly important segment of modern information services. In these user-intensive applications, quality of service is important and design methods are increasingly relying on software standards to achieve quality. In this paper, we propose an evaluation model for location based… Read full abstract & cite →

E-commerce location based services software quality software design ISO9126

Abstract doi.org/10.14569/IJACSA.2018.090805 PDF

6

Programming Technologies for the Development of Web-Based Platform for Digital Psychological Tools

Author 1: Evgeny Nikulchev Author 2: Dmitry Ilin Author 3: Pavel Kolyasnikov Author 4: Vladimir Belov Author 5: Ilya Zakharov Author 6: Sergey Malykh

The choice of the tools and programming technologies for information systems creation is relevant. For every projected system, it is necessary to define a number of criteria for development environment, used libraries and technologies. The paper describes the choice of technological solutions using the example of the developed web-based platform… Read full abstract & cite →

Psychological research tools web-based platform choice of the tools and programming technologies

Abstract doi.org/10.14569/IJACSA.2018.090806 PDF

7

Review of Prediction of Disease Trends using Big Data Analytics

Author 1: Diellza Nagavci Author 2: Mentor Hamiti Author 3: Besnik Selimi

Big Data technologies promise to have a transformative impact in healthcare, public health, and medical research, among other application areas. Several intelligent machine learning techniques were designed and used to provide big data predictive analytics solutions for different illness. Nevertheless, there is no published research for prediction of allergy and… Read full abstract & cite →

Big data algorithms data analytics healthcare disease prediction data mining

Abstract doi.org/10.14569/IJACSA.2018.090807 PDF

8

The Role of Hyperspectral Imaging: A Literature Review

Author 1: Muhammad Mateen Author 2: Junhao Wen Author 3: Nasrullah Author 4: Muhammad Azeem Akbar

Optical analysis techniques are used recently to detect and identify the objects from a large scale of images. Hyperspectral imaging technique is also one of them. Vision of human eye is based on three basic color (red, green and blue) bands, but spectral imaging divides the vision into many more… Read full abstract & cite →

Deep learning electromagnetic spectrum hyperspectral imaging imaging spectroscopy multispectral imaging remote sensing

Abstract doi.org/10.14569/IJACSA.2018.090808 PDF

9

A Review on Scream Classification for Situation Understanding

Author 1: Saba Nazir Author 2: Muhammad Awais Author 3: Sheraz Malik Author 4: Fatima Nazir

In our living environment, a non-speech audio signal provides a significant evidence for situation awareness. It also compliments the information obtained from a video signal. In non-speech audio signals, screaming is one of the events in which the people like security guard, care taker and family members are particularly interested… Read full abstract & cite →

Scream classification scream detection acoustic parameters surveillance security

Abstract doi.org/10.14569/IJACSA.2018.090809 PDF

10

Performance Improvement of Web Proxy Cache Replacement using Intelligent Greedy-Dual Approaches

Author 1: Waleed Ali

This paper reports on how intelligent Greedy-Dual approaches based on supervised machine learning were used to improve the web proxy caching performance. The proposed intelligent Greedy-Dual approaches predict the significant web objects’ demand for web proxy caching using Naïve Bayes (NB), decision tree (C4.5), or support vector machine (SVM) classifiers… Read full abstract & cite →

Cache replacement Greedy-Dual approaches machine learning proxy

Abstract doi.org/10.14569/IJACSA.2018.090810 PDF

11

El Niño / La Niña Identification based on Takens Reconstruction Theory

Author 1: Kohei Arai Author 2: Kaname Seto

An identification method for earth observation data according to a chaotic behavior based on Takens reconstruction theory is proposed. The proposed method is examined by using the observed time series data of SST (Sea Surface Temperature) and the SOI (Southern Oscillation Index) data. The experimental results show that the time… Read full abstract & cite →

Time series analysis takens sea surface temperature: SST southern oscilation index: SOI El Niño-southern oscillation: ENSO

Abstract doi.org/10.14569/IJACSA.2018.090811 PDF

12

Adaptive Return of e-Training (ROT) based on Communication Technology

Author 1: Fahad Alotaibi

Persistent economic insecurity and harsh severity actions across the world push businesses either to cut down on training costs or to be very painstaking in choosing a training program that conveys palpable outcomes in a short period of time. Nevertheless, in most cases businesses are still unable to reckon Return… Read full abstract & cite →

Return of e-Training (ROT) evaluation models blackboard e-learning Key Performance Indicator (KPI)

Abstract doi.org/10.14569/IJACSA.2018.090812 PDF

13

Comparison of Hash Function Algorithms Against Attacks: A Review

Author 1: Ali Maetouq Author 2: Salwani Mohd Daud Author 3: Noor Azurati Ahmad Author 4: Nurazean Maarop Author 5: Nilam Nur Amir Sjarif Author 6: Hafiza Abas

Hash functions are considered key components of nearly all cryptographic protocols, as well as of many security applications such as message authentication codes, data integrity, password storage, and random number generation. Many hash function algorithms have been proposed in order to ensure authentication and integrity of the data, including MD5… Read full abstract & cite →

Hash function algorithms MD5 PRIMEDS160 SHA-1 SHA-2 SHA-3

Abstract doi.org/10.14569/IJACSA.2018.090813 PDF

14

An Analysis of Cloud Computing Adoption Framework for Iraqi e-Government

Author 1: Ban Salman Shukur Author 2: Mohd Khanapi Abd Ghani Author 3: M.A. Burhanuddin

This paper presents an analysis of the factors which could have possible affect over the adoption of cloud computing via the Iraqi e-government. A conceptual framework model for cloud computing within Iraqi e-government is proposed, analyzed, evaluated and discussed. Read full abstract & cite →

e-Government cloud computing framework Iraq Iraqi e-government

Abstract doi.org/10.14569/IJACSA.2018.090814 PDF

15

A Survey on Tor Encrypted Traffic Monitoring

Author 1: Mohamad Amar Irsyad Mohd Aminuddin Author 2: Zarul Fitri Zaaba Author 3: Manmeet Kaur Mahinderjit Singh Author 4: Darshan Singh Mahinder Singh

Tor (The Onion Router) is an anonymity tool that is widely used worldwide. Tor protect its user privacy against surveillance and censorship using strong encryption and obfuscation techniques which makes it extremely difficult to monitor and identify users’ activity on the Tor network. It also implements strong defense to protect… Read full abstract & cite →

Encrypted traffic monitoring Tor machine learning security survey

Abstract doi.org/10.14569/IJACSA.2018.090815 PDF

16

The Implementation of Computer based Test on BYOD and Cloud Computing Environment

Author 1: Ridi Ferdiana Author 2: Obert Hoseanto

Computer-based test promises several benefits such as automatic grading, assessment features, and paper efficiency. However, besides the benefits, the organization should prepare the enough infrastructure, network connectivity, and user education. The problem upsurges when a hundred numbers of users join the computer-based test. This article proposes Bring-Your-Own-Devices (BYOD), and the… Read full abstract & cite →

Computer-based test cloud computing Bring-Your-Own-Devices (BYOD)

Abstract doi.org/10.14569/IJACSA.2018.090816 PDF

17

Method for Designing Scalable Microservice-based Application Systematically: A Case Study

Author 1: Ahmad Tarmizi Abdul Ghani Author 2: Mohamad Shanudin Zakaria

Microservice is a new transformation of Service-Oriented Architecture (SOA) which is gaining momentum in both academic and industry. The success of microservice began when giant companies like Netflix used them as a service architecture for the purpose of serving customers. Monolithic architecture used by Netflix previously was no longer able… Read full abstract & cite →

Microservice systematic method scalable microservice design

Abstract doi.org/10.14569/IJACSA.2018.090817 PDF

18

Adaptive Simulated Evolution based Approach for Cluster Optimization in Wireless Sensor Networks

Author 1: Abdulaziz Alsayyari

Energy consumption minimization is crucial for the constrained sensors in wireless sensor networks (WSNs). Partitioning WSNs into optimal set of clusters is a promising technique utilized to minimize energy consumption and to increase the lifetime of the network. However, optimizing the network into optimal set of clusters is a non-polynomial… Read full abstract & cite →

Clustering algorithm cluster optimization network lifetime simulated evolution wireless sensor networks

Abstract doi.org/10.14569/IJACSA.2018.090818 PDF

19

Investigating the Acceptance of Mobile Health Application User Interface Cultural-Based Design to Assist Arab Elderly Users

Author 1: Ahmed Alsswey Author 2: Irfan Naufal Bin Umar Author 3: Brandford Bervell

Mobile health (m-health) applications are a way to provide solutions to the non-availability of physical health services in the Arab world. However, end users of m-health around the world have their cultural and personal differences that distinguish them from others. Studies suggest that culture is an essential component of the… Read full abstract & cite →

TAM elderly users mobile health applications user interface culture

Abstract doi.org/10.14569/IJACSA.2018.090819 PDF

20

Acoustic Classification using Deep Learning

Author 1: Muhammad Ahsan Aslam Author 2: Muhammad Umer Sarwar Author 3: Muhammad Kashif Hanif Author 4: Ramzan Talib Author 5: Usama Khalid

Acoustic complements is an important methodology to perceive the sounds from environment. Significantly machines in different conditions can have the hearings capability like smartphones, different software or security systems. This kind of work can be implemented through conventional or deep learning machine models that contain revolutionized speech identification to understand… Read full abstract & cite →

Acoustics deep learning machine learning neural networks audio sounds

Abstract doi.org/10.14569/IJACSA.2018.090820 PDF

21

Quality Assurance for Data Analytics

Author 1: Rakesh Kumar Author 2: Birth Subhash Author 3: Maria Fatima Author 4: Waqas Mahmood

Quality Assurance is a technique for ensuring the overall software quality suggested by Global Standards bodies like IEEE. The Quality Assurance for Data Analytics requires more time and a very different set of skills because Software Products, which are used for Data Analytics, are different than that of traditional ones… Read full abstract & cite →

Software Quality Assurance (SQA) data analytical softwares data driven softwares real time analytics data analytics quality issues quality control

Abstract doi.org/10.14569/IJACSA.2018.090821 PDF

22

Developing Communication Strategy for Multi-Agent Systems with Incremental Fuzzy Model

Author 1: Sam Hamzeloo Author 2: Mansoor Zolghadri Jahromi

Communication can guarantee the coordinated behavior in the multi-agent systems. However, in many real-world problems, communication may not be available at every time because of limited bandwidth, noisy environment or communication cost. In this paper, we introduce an algorithm to develop a communication strategy for cooperative multi-agent systems in which… Read full abstract & cite →

Multi-agent systems decentralized partially observable Markov decision process communication planning under uncertainty fuzzy inference systems

Abstract doi.org/10.14569/IJACSA.2018.090822 PDF

23

OpenSimulator based Multi-User Virtual World: A Framework for the Creation of Distant and Virtual Practical Activities

Author 1: MOURDI Youssef Author 2: SADGAL Mohamed Author 3: BERRADA FATHI Wafaa Author 4: EL KABTANE Hamada

The exponential growth of technology has contributed to the positive revolution of distance learning. E-learning is becoming increasingly used in the transfer of knowledge where instructors can model and script their courses in several formats such as files, videos and quizzes. In order to complete their courses, practical activities are… Read full abstract & cite →

E-Learning multi-user virtual world practical activities OpenSimulator virtual reality virtual laboratories

Abstract doi.org/10.14569/IJACSA.2018.090823 PDF

24

Performance Evaluation of Cloud Computing Resources

Author 1: Muhammad Sajjad Author 2: Arshad Ali Author 3: Ahmad Salman Khan

Cloud computing is an emerging information technology which is rapidly growing. However, measuring the performance of cloud based applications in real environments is a challenging task for research as well as business community. In this work, we focused on Infrastructure as a Service (IaaS) facility of cloud computing. We made… Read full abstract & cite →

Cloud computing OpenStack windows azure

Abstract doi.org/10.14569/IJACSA.2018.090824 PDF

25

Intelligent Model Conception Proposal for Adaptive Hypermedia Systems

Author 1: Mehdi TMIMI Author 2: Mohamed BENSLIMANE Author 3: Mohammed BERRADA Author 4: Kamar OUAZZANI

The context of this article is to study and propose solutions for the major problems of adaptive hypermedia systems. In fact, the works and models proposed for these systems are made according to the tradition of studying first theories and rules, then modeling and designing a system that implements them… Read full abstract & cite →

Adaptive hypermedia artificial intelligence deep learning learner model domain model adaptation model brain neuron

Abstract doi.org/10.14569/IJACSA.2018.090825 PDF

26

Cost Aware Resource Selection in IaaS Clouds

Author 1: Uzma Bibi

One of the main challenges in cloud computing is to cope up with the selection of efficient resources in terms of cost. There are various cloud computing service providers which dynamically provide resources to the customers through different pricing policies. Based on the different APIs and pricing policies of the… Read full abstract & cite →

Cloud computing pay-as-you-go infrastructure as a service cost aware resource selection virtual machines hypervisor instance based approach quantity based approach single cloud multi cloud

Abstract doi.org/10.14569/IJACSA.2018.090826 PDF

27

ECG Abnormality Detection Algorithm

Author 1: Soha Ahmed Author 2: Ali Hilal-Alnaqbi Author 3: Mohamed Al Hemairy Author 4: Mahmoud Al Ahmad

The monitoring and early detection of abnormalities in the cardiac cycle morphology have significant impact on the prevention of heart diseases and their associated complications. Electrocardiogram (ECG) is very effective in detecting irregularities of the heart muscle functionality. In this work, we investigate the detection of possible abnormalities in ECG… Read full abstract & cite →

Cross-correlation abnormalities detection electrocardiogram (ECG) cardiac cycle eHealth remote monitoring algorithm

Abstract doi.org/10.14569/IJACSA.2018.090827 PDF

28

Efficient Resource Consumption by Dynamic Clustering and Optimized Routes in Wireless Sensor Networks

Author 1: Farzad Kiani

The energy issue is an important parameter in the wireless sensor networks and should be managed in the different applications. We propose a new routing algorithm that it is energy efficient and uses different approaches as dynamic clustering, spanning tree, self-configurable routing and controls energy consuming by data-driven and power… Read full abstract & cite →

Energy efficiency data-driven spanning tree sleep/wake up mode power management

Abstract doi.org/10.14569/IJACSA.2018.090828 PDF

29

A Method of Automatic Domain Extraction of Text to Facilitate Retrieval of Arabic Documents

Author 1: Mohammad Khaled A. Al-Maghasbeh Author 2: Mohd Pouzi bin Hamzah

Arabic content on the internet has increased over the web because of the growth of the number of Arabic persons who use the internet in the world. Accordingly, this study introduces an automatic approach of domain extraction of information retrieval from these contents based on text classification. Text classification process… Read full abstract & cite →

Arabic information retrieval text classification Arabic text mining Arabic language processing text clustering text classification text categorization and classification algorithms

Abstract doi.org/10.14569/IJACSA.2018.090829 PDF

30

Features and Potential Security Challenges for IoT Enabled Devices in Smart City Environment

Author 1: Gasim Alandjani

Introduction of Internet of Things in our lives have brought drastic changes in the social norms, working habits, ways of completing tasks and planning for future. Data about our interactions with everyday objects can be effectively transmitted to their destinations with many communicating tags that also often provide specific location… Read full abstract & cite →

IoT privacy smart city smart society actuators sensors industrial 4.0 5G

Abstract doi.org/10.14569/IJACSA.2018.090830 PDF

31

Comparative Study of PMSG Controllers for Variable Wind Turbine Power Optimization

Author 1: Asma Hammami Author 2: Imen Saidi Author 3: Dhaou Soudani

With a large increase in wind power generation, the direct driven Permanent Magnet Synchronous Generator is the most promising technology for variable speed operation and it also fulfills the grid requirements with high efficiency. This paper studies and compares conventional based on PI controller and proposed control technique for a… Read full abstract & cite →

Wind turbine internal model control PI controller Permanent Magnet Synchronous Generator (PMSG) vector control

Abstract doi.org/10.14569/IJACSA.2018.090831 PDF

32

Impact and Challenges of Requirements Management in Enterprise Resource Planning (ERP) via ERP Thesaurus

Author 1: Rahat Izhar Author 2: Dr. Shahid Nazir Bhatti Author 3: Saba Izhar Author 4: Dr. Amr Mohsen Jadi

Managing requirements efficiently aids the system design team to understand the existence and significance of any individual requirement, there are numerous requirements management practices that benefit in decision making but significantly many lacks to account the important factors that have substantial influence in managing requirements in context of ERP systems… Read full abstract & cite →

Enterprise Resource Planning (ERP) Product Owner (PO) requirements elicitation requirements management change management

Abstract doi.org/10.14569/IJACSA.2018.090832 PDF

33

Implementation of Blended Learning in Teaching at the Higher Education Institutions of Pakistan

Author 1: Saira Soomro Author 2: Arjumand Bano Soomro Author 3: Tariq Bhatti Author 4: Najma Imtiaz Ali

Blended learning has emerged as one of the solutions to address the various needs of Higher Education Institutions around the world. Blended Learning is the combination of traditional classroom and online endeavour. It provides advantages of both face to face learning and e-learning. The main purpose of this study is… Read full abstract & cite →

Blended learning teaching-learning university teachers

Abstract doi.org/10.14569/IJACSA.2018.090833 PDF

34

The Measurement of Rare Plants Learning Media using Backward Chaining Integrated with Context-Input-Process-Product Evaluation Model based on Mobile Technology

Author 1: Nyoman Wijana Author 2: Ni Nyoman Parmithi Author 3: I Gede Astra Wesnawa Author 4: I Made Ardana Author 5: I Wayan Eka Mahendra Author 6: Dewa Gede Hendra Divayana

This research was aimed to know the effectiveness level of learning media utilization to the introduction of rare plants in Alas Kedaton tourism forest in Tabanan-Bali based on backward chaining for students and the general public. The type of this research includes explorative and evaluative research types. The population in… Read full abstract & cite →

Rare plants species backward chaining evaluation CIPP mobile technology

Abstract doi.org/10.14569/IJACSA.2018.090834 PDF

35

Energy Consumption Evaluation of AODV and AOMDV Routing Protocols in Mobile Ad-Hoc Networks

Author 1: Fawaz Mahiuob Mohammed Mokbal Author 2: Khalid Saeed Author 3: Wang Dan

Mobile Ad-hoc Networks (MANETs) are mobile, multi-hop wireless networks that can be set up anytime, anywhere without the need of pre-existing infrastructure. Due to its dynamic topology the main challenge in such networks is to design dynamic routing protocols, which are efficient in terms of consumption of energy and producing… Read full abstract & cite →

MANETs routing protocols AODV AOMDV energy efficiency routing performance

Abstract doi.org/10.14569/IJACSA.2018.090835 PDF

36

Piezoelectric based Biosignal Transmission using Xbee

Author 1: Mohammed Jalil Author 2: Mohamed Al Hamadi Author 3: Abdulla Saleh Author 4: Omar Al Zaabi Author 5: Soha Ahmed Author 6: Walid Shakhatreh Author 7: Mahmoud Al Ahmad

This paper is showcasing the development of an innovative healthcare solution that will allow patient to be monitored remotely. The system utilizes a piezoelectric sheet sensor and XBee wireless communication protocol to collect and transmit heart beat pressure signal from human subject neck to a receiving node. Then, using signal… Read full abstract & cite →

Piezoelectric XBee medical sensors vital signs remote health monitoring

Abstract doi.org/10.14569/IJACSA.2018.090836 PDF

37

Performance Evaluation of a Smart Remote Patient Monitoring System based Heterogeneous WSN

Author 1: Mohamed EDDABBAH Author 2: Mohamed MOUSSAOUI Author 3: Yassin LAAZIZ

This paper investigates the development of a remote patient monitoring system based on WBAN Wireless Body Sensor Network. Thus, the main purpose of such design is to interconnect heterogeneous sensor networks not equipped with the HTTP / TCP / UDP stack. A novel gateway architecture is proposed to ensure interoperability… Read full abstract & cite →

WSN body sensor networks remote patent monitoring e-health SOA

Abstract doi.org/10.14569/IJACSA.2018.090837 PDF

38

Mapping Wheat Crop Phenology and the Yield using Machine Learning (ML)

Author 1: Muhammad Adnan Author 2: Abaid-ur-Rehman Author 3: M. Ahsan Latif Author 4: Naseer Ahmad Author 5: Maria Nazir Author 6: Naheed Akhter

Wheat has been a prime source of food for the mankind for centuries. The final wheat grain yield is the multitude of the complex interaction among the various yield attributes such as kernel per plant, Spike per plant, NSpt/s, Spike Dry Weight (SDW), etc. Different approaches have been followed to… Read full abstract & cite →

RBNN PCA stepwise regression attributes yield

Abstract doi.org/10.14569/IJACSA.2018.090838 PDF

39

Soft Error Tolerance in Memory Applications

Author 1: Muhammad Sheikh Sadi Author 2: Md. Shamimur Rahman Author 3: Shaheena Sultana Author 4: Golam Mezbah Uddin Author 5: Kazi Md. Bodrul Kabir

This paper proposes a new method to detect and correct multi bit errors in memory applications using a combination of a clustering approach, Bit-Per-Byte error detection technique, and Majority Logic Decodable (MLD) codes. The likelihood of soft errors accelerates with system complexity, reduction in operational voltages, exponential growth in transistor… Read full abstract & cite →

Soft error tolerance bit-per-byte majority logic decodable codes clustering adjacent errors

Abstract doi.org/10.14569/IJACSA.2018.090839 PDF

40

Safety and Performance Evaluation Method for Wearable Artificial Kidney Systems

Author 1: YeJi Ho Author 2: SangHoon Park Author 3: KyungMin Jo Author 4: Barum Choi Author 5: SangEun Park Author 6: Jaesoon Choi

This paper focuses on international standards and guidelines related to evaluating the safety and performance of wearable dialysis systems and devices. The applicable standard and evaluation indices for safety and performance are determined, and the relevant international standards and guidelines are provided in a table. In addition, example experiments using… Read full abstract & cite →

Wearable artificial kidney safety hemodialysis peritoneal dialysis accelerometer

Abstract doi.org/10.14569/IJACSA.2018.090840 PDF

41

Data Mining Models Comparison for Diabetes Prediction

Author 1: Amina Azrar Author 2: Yasir Ali Author 3: Muhammad Awais Author 4: Khurram Zaheer

From the past few years, data mining got a lot of attention for extracting information from large datasets to find patterns and to establish relationships to solve problems. Well known data mining algorithms include classification, association, Naïve Bayes, clustering and decision tree. In medical science field, these algorithms help to… Read full abstract & cite →

Diabetes data mining classification decision tree Naïve Bayes KNN

Abstract doi.org/10.14569/IJACSA.2018.090841 PDF

42

Using Artificial Intelligence Approaches to Categorise Lecture Notes

Author 1: Naushine Bibi Baijoo Author 2: Khusboo Bharossa Author 3: Somveer Kishnah Author 4: Sameerchand Pudaruth

Lecture materials cover a broad variety of documents ranging from e-books, lecture notes, handouts, research papers and lab reports amongst others. Downloaded from the Internet, these documents generally go in the Downloads folder or other folders specified by the students. Over a certain period of time, the folders become so… Read full abstract & cite →

Classification lecture materials machine learning support vector machines decision trees

Abstract doi.org/10.14569/IJACSA.2018.090842 PDF

43

EEG-Based Emotion Recognition using 3D Convolutional Neural Networks

Author 1: Elham S. Salama Author 2: Reda A.El-Khoribi Author 3: Mahmoud E.Shoman Author 4: Mohamed A.Wahby Shalaby

Emotion recognition is a crucial problem in Human-Computer Interaction (HCI). Various techniques were applied to enhance the robustness of the emotion recognition systems using electroencephalogram (EEG) signals especially the problem of spatiotemporal features learning. In this paper, a novel EEG-based emotion recognition approach is proposed. In this approach, the use… Read full abstract & cite →

Electroencephalogram emotion recognition deep learning 3D convolutional neural networks data augmentation single-label classification multi-label classification

Abstract doi.org/10.14569/IJACSA.2018.090843 PDF

44

Enhanced and Improved Hybrid Model to Prediction of User Awareness in Agriculture Sector

Author 1: A.V.S. Pavan Kumar Author 2: Dr. R. Bhramaramba

Agriculture is the backbone of Indian economy and is the main income source for most of the population in India. So farmers are always curious about yield prediction. Crop yield depends on various factors like soil, weather, rain, fertilizers and pesticides. Several factors have different impacts on agriculture, which can… Read full abstract & cite →

Agriculture products e-agriculture classification clustering ensemble model

Abstract doi.org/10.14569/IJACSA.2018.090844 PDF

45

Identifying Dynamic Topics of Interest across Social Networks

Author 1: Mohamed Salaheldin Aly Author 2: Abeer Al Korany

Information propagation plays a significant role in online social networks, mining the latent information produced became crucial to understand how information is disseminated. It can be used for market prediction, rumor controlling, and opinion monitoring among other things. Thus, in this paper, an information dissemination model based on dynamic individual… Read full abstract & cite →

Information propagation topic modelling dynamic user modelling user behavior machine learning topic classification social networks

Abstract doi.org/10.14569/IJACSA.2018.090845 PDF

46

Processing Sampled Big Data

Author 1: Waleed Albattah Author 2: Rehan Ullah Khan

Big data processing requires extremely powerful and large computing setup. This puts bottleneck not only on processing infrastructure but also many researchers don’t get the freedom to analyze large datasets. This paper thus analyzes the processing of the large amount of data from machine learnt models that are built on… Read full abstract & cite →

Deep learning content analysis machine learning support vector machines random forest

Abstract doi.org/10.14569/IJACSA.2018.090846 PDF

47

Access Control Model for Modern Virtual e-Government Services: Saudi Arabian Case Study

Author 1: Rand Albrahim Author 2: Hessah Alsalamah Author 3: Shada Alsalamah Author 4: Mehmet Aksoy

e-Government services require intensive information exchange and interconnection among governmental agencies to provide specialized online services and allow informed decision-making. This could compromise the integrity, confidentiality, and/or availability of the information being exchanged. Government agencies are accountable and liable for the protection of information they possess and use on a… Read full abstract & cite →

Access control cloud infrastructure data classification scheme data exchange e-government fine-grained access implementation framework persistent control XML security technologies Saudi Arabia

Abstract doi.org/10.14569/IJACSA.2018.090847 PDF

48

Evaluation of the Impact of Usability in Arabic University Websites: Comparison between Saudi Arabia and the UK

Author 1: Mohamed Benaida Author 2: Abdallah Namoun Author 3: Ahmad Taleb

Today usability is a crucial factor that can affect any website. The purpose of this study is to explore major usability defects within Saudi university websites in comparison to British university websites from a Saudi student perspective. In addition, students are expected to achieve their goal when surfing a Saudi… Read full abstract & cite →

Usability usability evaluation factor analysis student satisfaction

Abstract doi.org/10.14569/IJACSA.2018.090848 PDF

49

Using Sab-Iomha for an Alpha Channel based Image Forgery Detection

Author 1: Muhammad Shahid Bhatti Author 2: Syed Asad Hussain Author 3: Abdul Qayyum Author 4: Abdul Karim Shahid Author 5: Muhammad Usman Akram Author 6: Sajid Ibrahim Hashmi

Digital images are a very popular way of transfer-ring media. However, their integrity remains challenging because these images can easily be manipulated with the help of software tools and such manipulations cannot be verified through a naked-eye. Although there exist some techniques to validate digital images, but in practice, it… Read full abstract & cite →

Digital images tamper steganography metadata forgery detection cipher image authentication image validation watermarking

Abstract doi.org/10.14569/IJACSA.2018.090849 PDF

50

Recommendations for Building Adaptive Cognition-based E-Learning

Author 1: Mostafa Saleh Author 2: Reda Mohamed Salama

Adapted e-Learning systems try to adapt the learning material based on the student’s preferences. Course authors design their courses with their students’ styles and in mind, course delivery should match the student style, and student assessment should also be adapted to match each specific student’s learning style, while student portfolio… Read full abstract & cite →

Adaptive e-learning learning objects learning styles student models open source LMS Moodle personalized teaching model

Abstract doi.org/10.14569/IJACSA.2018.090850 PDF

51

Segmentation Method for Pathological Brain Tumor and Accurate Detection using MRI

Author 1: Khurram Ejaz Author 2: Mohd Shafry Mohd Rahim Author 3: Amjad Rehman Author 4: Huma Chaudhry Author 5: Tanzila Saba Author 6: Anmol Ejaz Author 7: Chaudhry Farhan Ej

Image segmentation is challenging task in field of medical image processing. Magnetic resonance imaging is helpful to doctor for detection of human brain tumor within three sources of images (axil, corneal, sagittal). MR images are nosier and detection of brain tumor location as feature is more complicated. Level set methods… Read full abstract & cite →

Brain tumor level set Hybrid Fuzzy K Mean (Hybrid FKM) Discrete Wavelet Transformation (DWT) Scalable Vector Machine (SVM) Magnetic Resonance Image (MRI) Principal Component Analysis (PCA)

Abstract doi.org/10.14569/IJACSA.2018.090851 PDF

52

Skew Detection and Correction of Mushaf Al-Quran Script using Hough Transform

Author 1: Salem Saleh Bafjaish Author 2: Mohd Sanusi Azmi Author 3: Mohammed Nasser Al-Mhiqani Author 4: Amirul Ramzani Radzid Author 5: Hairulnizam Mahdin

Document skew detection and correction is mainly one of base preprocessing steps in the document analysis. Correction of the skewed scanned images is critical because it has a direct impact on image quality. In this paper, the authors proposed a method for skew detection and correction for Mushaf Al-Quran image… Read full abstract & cite →

Skew detection skew correction Hough transform preprocessing binarization image analysis

Abstract doi.org/10.14569/IJACSA.2018.090852 PDF

53

Review of Information Security Policy based on Content Coverage and Online Presentation in Higher Education

Author 1: Arash Ghazvini Author 2: Zarina Shukur Author 3: Zaihosnita Hood

Policies are high-level statements that are equal to organizational law and drive the decision-making process within the organization. Information security policy is not easy to develop unless organizations clearly identify the necessary steps required in the development process of an information security policy, particularly in institutions of higher education that… Read full abstract & cite →

Information security policy policy development higher education

Abstract doi.org/10.14569/IJACSA.2018.090853 PDF

54

Implementation of a Formal Software Requirements Ambiguity Prevention Tool

Author 1: Rasha Alomari Author 2: Hanan Elazhary

The success of the software engineering process depends heavily on clear unambiguous software requirements. Ambiguity refers to the possibility to understand a requirement in more than one way. Unfortunately, ambiguity is an inherent property of the natural languages used to write the software user requirements. This could cause a final… Read full abstract & cite →

Software requirements requirements ambiguity natural language ambiguity ambiguity prevention controlled languages finite state machines

Abstract doi.org/10.14569/IJACSA.2018.090854 PDF

55

A Comparative Study of the Decisional Needs Engineering Approaches

Author 1: OUTFAROUIN Ahmad Author 2: ZAHID Noureddine Author 3: ABDALI Abdelmounaïm

Requirements Engineering (RE) is an important phase in a project of systems development. It helps design-analysts to design and to model the expression of the end-user needs, and their expectations vis-a-vis their future system. This engineering is studying two major issues that are: What should the system do in order… Read full abstract & cite →

Decisional information systems decisional needs engineering needs engineering approaches goal scenario model of needs representation

Abstract doi.org/10.14569/IJACSA.2018.090855 PDF

56

A Blockchain Technology Evolution Between Business Process Management (BPM) and Internet-of-Things (IoT)

Author 1: Doaa Mohey El-Din M. Hussein Author 2: Mohamed Hamed N. Taha Author 3: Nour Eldeen M. Khalifa

A Blockchain is considered the main mechanism for Bitcoin concurrency. A Blockchain is known by a public ledger and public transactions stored in a chain. The properties of blockchain demonstrate in decentralization as distribution blocks, stability, anonymity, and auditing. Blockchain can enhance the results of network efficiency and improve the… Read full abstract & cite →

Blockchain bitcoin business process cryptography decentralization consensus applications

Abstract doi.org/10.14569/IJACSA.2018.090856 PDF

57

Defects Prediction and Prevention Approaches for Quality Software Development

Author 1: Mashooque Ahmed Memon Author 2: Mujeeb-Ur-Rhman Magsi Baloch Author 3: Muniba Memon Author 4: Syed Hyder Abbas Musavi

The demand for distributed and complex business applications in the enterprise requires error-free and high-quality application systems. Unfortunately, most of the developed software contains certain defects which cause failure of a system. Such failures are unacceptable for the development in the critical or sensitive applications. This makes the development of… Read full abstract & cite →

Software defects predictions preventions software development

Abstract doi.org/10.14569/IJACSA.2018.090857 PDF

58

Design and Implementation of a Risk Management Tool: A Case Study of the Moodle Platform

Author 1: Nadia Chafiq Author 2: Mohammed Talbi Author 3: Mohamed Ghazouani

During the last years, the distinctive feature of our society has been the rapid pace of technological change. In the Moroccan context, universities have put digital learning at the heart of their projects of development thanks to a wide range of hybrid training devices, Small Private Online Course (SPOC) and… Read full abstract & cite →

Risk management e-learning mehari platform

Abstract doi.org/10.14569/IJACSA.2018.090858 PDF

59

Artificial Neural Network based Weather Prediction using Back Propagation Technique

Author 1: Saboor Ahmad Kakar Author 2: Naveed Sheikh Author 3: Adnan Naseem Author 4: Saleem Iqbal Author 5: Abdul Rehman Author 6: Aziz ullah Kakar Author 7: Bilal Ahmad Kakar Author 8: Hazrat Ali Kakar Author 9: Bilal Khan

Weather forecasting is a natural phenomenon which has some chaotic changes happening with the passage of time. It has become an essential topic of research due to some abrupt scenarios of weather. As the data of forecast is nonlinear and follows some irregular trends and patterns, there are many traditional… Read full abstract & cite →

Weather forecasting artificial neural network classification prediction backpropagation hidden layers

Abstract doi.org/10.14569/IJACSA.2018.090859 PDF

60

An Incremental Technique of Improving Translation

Author 1: Aasim Ali Author 2: Arshad Hussain

Statistical machine translation (SMT) refers to using probabilistic methods of learning translation process primarily from the parallel text. In SMT, the linguistic information such as morphology and syntax can be added to the parallel text for improved results. However, adding such linguistic matter is costly, in terms of time and… Read full abstract & cite →

Statistical machine translation incremental learning algorithm English Urdu

Abstract doi.org/10.14569/IJACSA.2018.090860 PDF

61

Role Term-Based Semantic Similarity Technique for Idea Plagiarism Detection

Author 1: Ahmed Hamza Osman Author 2: Hani Moetque Aljahdali

Most of the text mining systems are based on statistical analysis of term frequency. The statistical analysis of term (phrase or word) frequency captures the importance of the term within a document, but the techniques that had been proposed by now still need to be improved in terms of their… Read full abstract & cite →

Plagiarism detection semantic similarity semantic role term frequency idea

Abstract doi.org/10.14569/IJACSA.2018.090861 PDF

62

Impact of Security in QoS Signaling in NGN: Registration Study

Author 1: RAOUYANE Brahim Author 2: BELMEKKI Elmostafa Author 3: KHAIRI sara Author 4: BELLAFKIH mostafa

New generation networks (NGN) use an IP base to transmit their services as well as voice, video and other services. The IP Multimedia Subsystem (IMS) which represents the network core, allowed controls and accesses into various services through a set of signalling protocols, the most common of which is Session… Read full abstract & cite →

Quality of Service (QoS) Security New Generation Network (NGN) IP Multimedia Subsystem (IMS) Session Initiation Protocol (SIP)

Abstract doi.org/10.14569/IJACSA.2018.090862 PDF

63

Information System Quality: Managers Perspective

Author 1: Sarah Aouhassi Author 2: Mostafa Hanoune

To evaluate Information System Quality (ISQ) quantitatively, a model was constructed based on sub-models related to the five Information System (IS) components, namely, Human Resources, Hardware, Software and application, Procedure and Data, and all IS players perspectives are considered who are: Managers, Technical Staff, Functional Staff and Users. This paper… Read full abstract & cite →

Information system quality managers measurement indicator university

Abstract doi.org/10.14569/IJACSA.2018.090863 PDF

64

Using Fuzzy Clustering Powered by Weighted Feature Matrix to Establish Hidden Semantics in Web Documents

Author 1: Pramod D Patil Author 2: Parag Kulkarni

Digital Data is growing exponentially exploding on the 'World Wide Web'. The orthodox clustering algorithms obligate various challenges to tackle, of which the most often faced challenge is the uncertainty. Web documents have become heterogeneous and very complex. There exist multiple relations between one web document and others in the… Read full abstract & cite →

Fuzzy clustering web document feature matrix

Abstract doi.org/10.14569/IJACSA.2018.090864 PDF

65

A New E-Health Tool for Early Identification of Voice and Neurological Pathologies by Speech Processing

Author 1: Bouafif Lamia Author 2: Ellouze Noureddine

The objective of this study is to develop a non-invasive method of early identification and classification of voice pathologies and neurological diseases by speech processing. We will present a new automatic medical diagnosis tool which can assist specialists in their medical diagnosis. The developed strategy is based on speech acquisition… Read full abstract & cite →

E-Health voice disorder HMM classification feature extraction MFCC pathology recognition rate

Abstract doi.org/10.14569/IJACSA.2018.090865 PDF

66

An Overview of Mutation Strategies in Bat Algorithm

Author 1: Waqas Haider Bangyal Author 2: Jamil Ahmad Author 3: Hafiz Tayyab Rauf Author 4: Sobia Pervaiz

Bat algorithm (BA) is a population based stochastic search technique encouraged from the intrinsic manner of bee swarm seeking for their food source. BA has been mostly used to resolve diverse kind of optimization problems and one of major issue faced by BA is frequently captured in local optima meanwhile… Read full abstract & cite →

Bat algorithm optimization local optima mutation strategies premature convergence swarm intelligence

Abstract doi.org/10.14569/IJACSA.2018.090866 PDF

67

Arabic Chatbots: A Survey

Author 1: Sarah AlHumoud Author 2: Asma Al Wazrah Author 3: Wafa Aldamegh

A Chatbot is a programmed entity that handles human-like conversations between an artificial agent and humans. This conversation has attracted the attention of researchers who are interested in the interaction between humans and machines to make the conversation more rational and hence pass the Turing test. The available research done… Read full abstract & cite →

Artificial intelligence Arabic chatbot conversational agent ArabChat human-machine interaction utterance

Abstract doi.org/10.14569/IJACSA.2018.090867 PDF

68

Learner Cognitive Behavior and Influencing Factors in Web-based Learning Environment

Author 1: Kalla Madhusudhana

In educational institutions, to improve student learning outcome and performance, the information and communication technology has enabled us to embark web-based learning approaches. The traditional web-based learning environment in higher education is aimed at fulfilling the users for most of their deserved learning contents as per the course curriculum. But… Read full abstract & cite →

Learning environment cognitive behavior influencing factors pedagogical knowledge curriculum content

Abstract doi.org/10.14569/IJACSA.2018.090868 PDF

69

New Hybrid Task Scheduling Algorithm with Fuzzy Logic Controller in Grid Computing

Author 1: Younes Hajoui Author 2: Omar Bouattane Author 3: Mohamed Youssfi Author 4: Elhocein Illoussamen

Distributed heterogeneous architecture is extensively applied to a diversity of large scale research projects conducive to solve complex computational problems. Mentioned distributed systems consist of multiple heterogenous linked processing units used to handle the continuous arrival jobs. The tasks scheduling problem is concerned with resource allocation strategies to assign jobs… Read full abstract & cite →

Distributed systems computational problems load balancing Q-learning ACO fuzzy hybrid framework

Abstract doi.org/10.14569/IJACSA.2018.090869 PDF

70

Performance Comparison of QEC Network based JAVA Application and Web based PHP Application

Author 1: Sanaullah Memon Author 2: Rasool Bux Palh Author 3: Muniba Memon Author 4: Hina Siddique Memon

Every organization wants to automate the manual system for moving and storing their data in particular format. A QEC department takes feedback of teacher evaluation manually from the students in the university that is somehow more difficult to maintain the record of a teacher, more cost-effective and fewer chances to… Read full abstract & cite →

QEC network based JAVA web based PHP server apache Jmeter

Abstract doi.org/10.14569/IJACSA.2018.090870 PDF

71

Aspect-Combining Functions for Modular MapReduce Solutions

Author 1: Cristian Vidal Silva Author 2: Rodolfo Villarroel Author 3: Jose´ Rubio Author 4: Franklin Johnson Author 5: Erika Madariaga Author 6: Alberto Urz´ua Author 7: Luis Carter Author 8: Camilo Campos-Vald´es Author 9: Xaviera A. L´opez-Cort´es

MapReduce represents a programming framework for modular Big Data computation that uses a function map to identify and target intermediate data in the mapping phase, and a function reduce to summarize the output of the map function and give a final result. Because inputs for the reduce function depend on… Read full abstract & cite →

Combining Hadoop MapReduce AOP AspectJ aspects

Abstract doi.org/10.14569/IJACSA.2018.090871 PDF

72

A New Message Encryption Method based on Amino Acid Sequences and Genetic Codes

Author 1: Ahmed Mahdee Abdo Author 2: Adel Sabry Essa Author 3: Abdullah A. Abdullah

As the use of technology is increasing rapidly, the amount of shared, sent, and received information is also increas-ing in the same way. As a result, this necessitates the need for finding techniques that can save and secure the information over the net. There are many methods that have been… Read full abstract & cite →

Information secure encryption

Abstract doi.org/10.14569/IJACSA.2018.090872 PDF

73

Using Artificial Neural Networks for Detecting Damage on Tobacco Leaves Caused by Blue Mold

Author 1: Himer Avila-George Author 2: Topacio Valdez-Morones Author 3: Humberto P´erez-Espinosa Author 4: Brenda Acevedo-Ju´arez Author 5: Wilson Castro

Worldwide, the monitoring of pests and diseases plays a fundamental role in the agricultural sustainability; making necessary the development of new tools for early pest detection. In this sense, we present a software application for detecting damage in tobacco (Nicotiana tabacum L.) leaves caused by the fungus of blue mold… Read full abstract & cite →

Nicotiana tabacum L. Peronospora tabacina Adam image processing artificial neural networks

Abstract doi.org/10.14569/IJACSA.2018.090873 PDF

74

Complex Shear Modulus Estimation using Integration of LMS/AHI Algorithm

Author 1: Quang–Hai Luong Author 2: Manh–Cuong Nguyen Author 3: TonThat–Long Author 4: Duc–Tan Tran

Elasticity and viscosity of tissues are two important parameters that can be used to investigate the structure of tissues, especially detecting tumors. By using a force excitation, the shear wave speed is acquired to extract its amplitude and phase. This information is then used directly or indirectly to compute the… Read full abstract & cite →

Shear wave elasticity viscosity CSM estimation least mean square Algebraic Helmholtz Inversion

Abstract doi.org/10.14569/IJACSA.2018.090874 PDF

75

RASP-TMR: An Automatic and Fast Synthesizable Verilog Code Generator Tool for the Implementation and Evaluation of TMR Approach

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

Triple Modular Redundancy (TMR) technique is one of the most well-known techniques for error masking and Single Event Effects (SEE) protection for the FPGA designs. These FPGA designs are mostly expressed in hardware descrip-tion languages, such as Verilog and VHDL. The TMR technique involves triplication of the design module and… Read full abstract & cite →

Fault injection fault tolerance reliability single event effects triple modular redundancy Verilog HDL

Abstract doi.org/10.14569/IJACSA.2018.090875 PDF

76

Design of Linear Time Varying Flatness-Based Control for Single-Input Single-Output Systems

Author 1: Marouen Sleimi Author 2: Mohamed Ben Abdallah Author 3: Mounir Ayadi

In this paper, the control of linear discrete-time Varying Single-Input Single-Output systems is tackled. By using flatness theory combined with a dead-beat observer, a two degree of freedom controller is designed with high performances in terms of trajectory tracking. The aim of this work is to avoid the choice of… Read full abstract & cite →

Flatness theory discrete-time systems linear time varying single-input single-output dead-beat observer two degree of freedom controller

Abstract doi.org/10.14569/IJACSA.2018.090876 PDF

77

Comparative Performance Analysis of Efficient MIMO Detection Approaches

Author 1: Muhammad Faisal Author 2: Fazal Wahab Karam Author 3: Ali Zahir Author 4: Sajid Bashir

The promising massive level MIMO (multiple-input-multiple-output) systems based on extremely huge antenna collections have turned into a sizzling theme of wireless com-munication systems. This paper assesses the performance of the quasi optimal MIMO detection approach based on semi-definite programming (SDP). This study also investigates the gain obtained when using SDP… Read full abstract & cite →

Multiple input multiple output antennas MIMO detection approaches performance analysis semi-definite program-ming zero forcing maximum likelihood

Abstract doi.org/10.14569/IJACSA.2018.090877 PDF

78

Sentiment Analysis, Visualization and Classification of Summarized News Articles: A Novel Approach

Author 1: Siddhaling Urologin

Due to advancement in technology, enormous amount of data is generated every day. One of the main challenges of large amount of data is user overloaded with huge volume of data. Hence effective methods are highly required to help user to comprehend large amount of data. This research work proposes… Read full abstract & cite →

Summarization sentiment analysis 3-D visualiza-tion sentiment classification

Abstract doi.org/10.14569/IJACSA.2018.090878 PDF

79

Minimization of Information Asymmetry Interference using Partially Overlapping Channel Allocation in Wireless Mesh Networks

Author 1: Sadiq Shah Author 2: Khalid Saeed Author 3: Mustafa Khan Author 4: Rafi Ullah Khan

Wireless Mesh Network (WMN) is a developing technology that has a great impact on the improvement of the performance, flexibility and reliability over the traditional wireless networks. Using multi-hop communication facility these networks are installed as a solution to extend last-mile access to the Internet. WMN has already been deployed… Read full abstract & cite →

Wireless Mesh Network (WMN) information asymmetry Optimal Partially Overlapping Channel Assignment (OPOCA) NOC Information Asymmetry Minimization (IAM) model

Abstract doi.org/10.14569/IJACSA.2018.090879 PDF

80

Initialization Method for Communication and Data Sharing in P2P Environment Between Wireless Sensor Nodes

Author 1: M. Asif Jamal Author 2: Aziz Ur Rehman Author 3: Moonisa Ahsan Author 4: M. S. Riaz Author 5: M. S. Zafar

Wireless Sensor Networks have increased notewor-thy thought nowadays, rather than wired sensor systems, by presenting multi-useful remote hubs, which are littler in size. However, WSNs correspondence is inclined to negative impacts from the physical environment, like, physical hurdles and interfer-ence. The reason for this work is to outline a testbed… Read full abstract & cite →

TinyOS peer-to-peer motes testbed nesC MICAz MIB520 handshaking

Abstract doi.org/10.14569/IJACSA.2018.090880 PDF

81

Formal Specification of Memory Coherence Protocol

Author 1: Jahanzaib Khan Author 2: Muhammad Atif Author 3: Muhammad Khurram Zahoor Bajwa Author 4: Muhammad Sohaib Mahmood Author 5: Sobia Usman

Memory coherence is the most fundamental re-quirement in a shared virtual memory system where there are concurrent as well as loosely coupled processes. These processes can demand a page for reading or writing. The memory is called coherent if the last update in a page remains constant for each process… Read full abstract & cite →

Memory coherence formal specification shared memory address space analysis

Abstract doi.org/10.14569/IJACSA.2018.090881 PDF

82

Digital Technology Disorder: Justification and a Proposed Model of Treatment

Author 1: Andrew Kear Author 2: Sasha L. Folkes

Due to advances in technology being made at an exponential rate, organisations are attempting to compete with one another by utilising state-of-the-art technology to provide innovative products and services that encourage use. However, there is no moral code to inform sensitive technology design, a consequence of which is the emergence… Read full abstract & cite →

Addiction digital treatment data smartphone behaviour overuse interventions

Abstract doi.org/10.14569/IJACSA.2018.090882 PDF