IJACSA Vol. 11 Issue 9 (2020)

1

Efficient GPU Implementation of Multiple-Precision Addition based on Residue Arithmetic

Author 1: Konstantin Isupov Author 2: Vladimir Knyazkov

In this work, the residue number system (RNS) is applied for efficient addition of multiple-precision integers using graphics processing units (GPUs) that support the Compute Unified Device Architecture (CUDA) platform. The RNS allows calculations with the digits of a multiple-precision number to be performed in an element-wise fashion, without the… Read full abstract & cite →

Multiple-precision algorithm integer arithmetic residue number system GPU CUDA

Abstract doi.org/10.14569/IJACSA.2020.0110901 PDF

2

Classification of Pulmonary Nodule using New Transfer Method Approach

Author 1: Syed Waqas Gillani Author 2: Bo Ning

Lung cancer is among the world's worst cancers, and accounted for 27%of all cancers in 2018. Despite substantial improvement in recent diagnoses and medications, the five year cure ratio is just 19%. Before even the diagnosis, classification of lung nodule is an essential step, particularly because early detection can help… Read full abstract & cite →

New transfer method VOI extraction feature extraction classification LIDC-IDRI dataset

Abstract doi.org/10.14569/IJACSA.2020.0110902 PDF

3

6G: Envisioning the Key Technologies, Applications and Challenges

Author 1: Syed Agha Hassnain Mohsan Author 2: Alireza Mazinani Author 3: Warda Malik Author 4: Imran Younas Author 5: Nawaf Qasem Hamood Othman Author 6: Hussain Amjad Author 7: Arfan Mahmood

In 2030, 6G is going to bring remarkable revolution in communication technologies as it will enable Internet of Everything. Still many countries are working over 5G and B5G has yet to be developed, while some research groups have already initiated projects on 6G. 6G will provide high and sophisticated QoS… Read full abstract & cite →

IoT AI communication technologies holographic communication blockchain

Abstract doi.org/10.14569/IJACSA.2020.0110903 PDF

4

Maximum Likelihood Classification based on Classified Result of Boundary Mixed Pixels for High Spatial Resolution of Satellite Images

Author 1: Kohei Arai

Maximum Likelihood Classification: MLC based on classified result of boundary Mixed Pixels (Mixel) for high spatial resolution of remote sensing satellite images is proposed and evaluated with Landsat Thematic Mapper: TM images. Optimum threshold indicates different results for TM and Multi Spectral Scanner: MSS data. This may since the TM… Read full abstract & cite →

Maximum likelihood classification optimum threshold Landsat TM MSS Mixed Pixel spatial resolution

Abstract doi.org/10.14569/IJACSA.2020.0110904 PDF

5

Weather Variability Forecasting Model through Data Mining Techniques

Author 1: Sultan Shekana Author 2: Addisu Mulugeta Author 3: Durga Prasad Sharma

Climate and weather variability are thought-provoking for world communities. In this apprehension, weather variability imposes a broad impact on the economy and the survival of the living entities. In relation to the African continent country Ethiopia, it is desirable to have great attention on the weather variability. The Ethiopian Dodota… Read full abstract & cite →

Meteorological data weather forecasting multilayer-perceptron Naïve Bayes multinomial logistic regression algorithms

Abstract doi.org/10.14569/IJACSA.2020.0110905 PDF

6

A Recommender System for Mobile Applications of Google Play Store

Author 1: Ahlam Fuad Author 2: Sahar Bayoumi Author 3: Hessah Al-Yahya

With the growth in the smartphone market, many applications can be downloaded by users. Users struggle with the availability of a massive number of mobile applications in the market while finding a suitable application to meet their needs. Indeed, there is a critical demand for personalized application recommendations. To address… Read full abstract & cite →

Application profile content-based filtering Google play mobile applications recommender systems

Abstract doi.org/10.14569/IJACSA.2020.0110906 PDF

7

Factored Phrase-based Statistical Machine Pre-training with Extended Transformers

Author 1: Vivien L. Beyala Author 2: Marcellin J. Nkenlifack Author 3: Perrin Li Litet

This paper presents the development of a cascaded hybrid multi- lingual automatic translation system, by allowing a tight coupling between the two underlying research approach in machine translation, namely, the neuronal (deterministic approach) and statistical (probabilistic approach), while fully taking advantage of each method in order to improve translation performance… Read full abstract & cite →

Machine translation transformer statistical machine morphologically rich hybrid

Abstract doi.org/10.14569/IJACSA.2020.0110907 PDF

8

Reward-Based DSM Program for Residential Electrical Loads in Smart Grid

Author 1: Muthuselvi G Author 2: Saravanan B

There is a positive attitude towards the use of different strategies for engaging in demand response (DR) programs in energy markets through the innovation and trend of smart grid technologies. In this paper, a reward-based approach is proposed that enhances the involvement of customers in the DR program by assuring… Read full abstract & cite →

DSM LSE RLA smart grid reward

Abstract doi.org/10.14569/IJACSA.2020.0110908 PDF

9

SQ-Framework for Improving Sustainability and Quality into Software Product and Process

Author 1: Kamal Uddin Sarker Author 2: Aziz Bin Deraman Author 3: Raza Hasan Author 4: Ali Abbas

Sustainability is one of the most important quality factors and it integrates some other quality factors in the product too. Moreover, it makes an effective workflow and improves user satisfaction. A manager can meet the target by controlling a project but sustainability is more versatile. Quality factors are the measuring… Read full abstract & cite →

Software project management sustainable project sustainable product sustainable and quality model system development methodology

Abstract doi.org/10.14569/IJACSA.2020.0110909 PDF

10

Forecasting the Global Horizontal Irradiance based on Boruta Algorithm and Artificial Neural Networks using a Lower Cost

Author 1: Abdulatif Aoihan Alresheedi Author 2: Mohammed Abdullah Al-Hagery

More solar-based electricity generation stations have been established markedly in recent years as new and an important source of renewable energy. That is to ensure a more efficient, reliable integration of solar power to overcome several challenges such as, the future forecasting, the costly equipment in the metrological stations. One… Read full abstract & cite →

Global horizontal irradiance artificial neural networks feature selection boruta algorithm cost reduction machine learning

Abstract doi.org/10.14569/IJACSA.2020.0110910 PDF

11

Towards Computational Models to Theme Analysis in Literature

Author 1: Abdulfattah Omar

The recent years have witnessed the development of numerous computational methods that have been widely used in humanities and literary studies. In spite of their potentials of such methods in terms of providing workable solutions to different inherent problems within these domains including selectivity, objectivity, and replicability, very little has… Read full abstract & cite →

Computational models computational semantics lexical clustering lexical content philological methods Thomas Hardy Vector Space Model (VSM)

Abstract doi.org/10.14569/IJACSA.2020.0110911 PDF

12

Pynq-YOLO-Net: An Embedded Quantized Convolutional Neural Network for Face Mask Detection in COVID-19 Pandemic Era

Author 1: Yahia Said

The recent Coronavirus COVID-19 is a very infectious disease that is transmitted through droplets generated when an infected person coughs, sneezes, or exhales. So, people must wear a face mask to reduce the power of the transition of this virus. Governments around the world have imposed the use of face… Read full abstract & cite →

Face mask detection Coronavirus COVID-19 YOLO Convolutional Neural Network (CNN) embedded device Pynq Z1 board

Abstract doi.org/10.14569/IJACSA.2020.0110912 PDF

13

Best Path in Mountain Environment based on Parallel Hill Climbing Algorithm

Author 1: Raja Masadeh Author 2: Ahmad Sharieh Author 3: Sanad Jamal Author 4: Mais Haj Qasem Author 5: Bayan Alsaaidah

Heuristic search is a search process that uses domain knowledge in heuristic rules or procedures to direct the progress of a search algorithm. Hill climbing is a heuristic search technique for solving certain mathematical optimization problems in the field of artificial intelligence. In this technique, starting with a suboptimal solution… Read full abstract & cite →

Hill climbing heuristic search parallel processing Message Passing Interface (MPI)

Abstract doi.org/10.14569/IJACSA.2020.0110913 PDF

14

High-Speed and Secure Elliptic Curve Cryptosystem for Multimedia Applications

Author 1: Mohammad Alkhatib

The last few years witnessed a rapid increase in the use of multimedia applications, which led to an explosion in the amount of data sent over communication networks. Therefore, it has become necessary to find an effective security solution that preserves the confidentiality of such enormous amount of data sent… Read full abstract & cite →

Elliptic curves cryptosystem performance binary method projective coordinates security applications

Abstract doi.org/10.14569/IJACSA.2020.0110914 PDF

15

A Survey on Privacy Vulnerabilities in Permissionless Blockchains

Author 1: Aisha Zahid Junejo Author 2: Manzoor Ahmed Hashmani Author 3: Abdullah Abdulrehman Alabdulatif

Blockchain decentralization not only ensures transparency of transactions to eliminate need of trusting third party, but also makes the transactions of the network to be publicly accessible to all the participating peers in the network. As a result, data anonymity and confidentiality are compromised making several business enterprises and industrialists… Read full abstract & cite →

Blockchains privacy vulnerabilities cryptographic primitives anonymity confidentiality

Abstract doi.org/10.14569/IJACSA.2020.0110915 PDF

16

Efficient Method for Three Loop MMSE-SIC based Iterative MIMO Systems

Author 1: Zuhaibuddin Bhutto Author 2: Saleem Ahmed Author 3: Syed Muhammad Shehram Shah Author 4: Azhar Iqbal Author 5: Faraz Mehmood Author 6: Imdadullah Thaheem Author 7: Ayaz Hussain

Iterative decoding is one of the promising methods to improve the performance of MIMO systems. In iterative processing channel decoder and MIMO detector share the information in order to enhance the overall system performance. However, iterative processing requires a lot of computations therefore it is considered as a computationally complex… Read full abstract & cite →

MIMO Iterative Detection and Decoding (IDD) sphere decoding Minimum Mean Squared Errors with Soft Interference Cancellation (MMSE-SIC)

Abstract doi.org/10.14569/IJACSA.2020.0110916 PDF

17

An Empirical Comparison of Fake News Detection using different Machine Learning Algorithms

Author 1: Abdulaziz Albahr Author 2: Marwan Albahar

Relying on social networks to follow the news has its pros and cons. Social media websites indeed allow the spread of information among people quickly. However, such websites might be leveraged to circulate low-quality news full of misinformation, i.e., "fake news." The wide distribution of fake news has a considerable… Read full abstract & cite →

Fake news classification machine learning performance comparison

Abstract doi.org/10.14569/IJACSA.2020.0110917 PDF

18

Cloud-Based Outsourcing Framework for Efficient IT Project Management Practices

Author 1: Mesfin Alemu Author 2: Abel Adane Author 3: Bhupesh Kumar Singh Author 4: Durga Prasad Sharma

The optimum utilization of human resources is one of the crucial exercises in IT organizations. To provide a well-organized and cohesive working environment, organizations need to review their work culture in reference to newly evolved tools and techniques. To reduce the development cost of the IT projects and the optimum… Read full abstract & cite →

Outsourcing project management cloud IT industry framework

Abstract doi.org/10.14569/IJACSA.2020.0110918 PDF

19

A Clustering Hybrid Algorithm for Smart Datasets using Machine Learning

Author 1: Dar Masroof Amin Author 2: Munishwar Rai

In the field of data science, Machine Learning is treated as sub-field which primarily deals with designing of algorithms which have ability to learn from previous information and make future predictions accordingly. In traditional computational world the Machine Learning was generally performed on highly performance servers and machines. The implementation… Read full abstract & cite →

Random Forests (RF) Jaccard Similarity (JS) triangle smart data root mean square error mean absolute error machine learning

Abstract doi.org/10.14569/IJACSA.2020.0110919 PDF

20

Grid Search Tuning of Hyperparameters in Random Forest Classifier for Customer Feedback Sentiment Prediction

Author 1: Siji George C G Author 2: B.Sumathi

Text classification is a common task in machine learning. One of the supervised classification algorithm called Random Forest has been generally used for this task. There is a group of parameters in Random Forest classifier which need to be tuned. If proper tuning is performed on these hyperparameters, the classifier… Read full abstract & cite →

Classification grid search hyperparameters parameter tuning random forest classifier sentiment analysis

Abstract doi.org/10.14569/IJACSA.2020.0110920 PDF

21

Aspect-Based Sentiment Analysis and Emotion Detection for Code-Mixed Review

Author 1: Andi Suciati Author 2: Indra Budi

Review can affect customer decision making because by reading it, people manage to know whether the review is positive, or negative. However, positive, negative, and neutral, without considering the emotion will be not enough because emotion can strengthen the sentiment result. This study explains about the comparison of machine learning… Read full abstract & cite →

Sentiment analysis emotion multi-label classification machine learning deep learning

Abstract doi.org/10.14569/IJACSA.2020.0110921 PDF

22

Pseudo Amino Acid Feature-based Protein Function Prediction using Support Vector Machine and K-Nearest Neighbors

Author 1: Anjna Jayant Deen Author 2: Manasi Gyanchandani

Bioinformatics facing the vital challenge in protein function prediction due to protein data are available in primary structure, an amino acid sequence. Every protein cell sequence length and size are in different sequence order. Protein is available in 20 amino acid sequence alphabetic order; however, the corresponding information of the… Read full abstract & cite →

Membrane protein types classifiers SVM (RBF) KNN Random Forest PseAAC

Abstract doi.org/10.14569/IJACSA.2020.0110922 PDF

23

Real Time Implementation and Comparison of ESP8266 vs. MSP430F2618 QoS Characteristics for Embedded and IoT Applications

Author 1: Krishnaveni Kommuri Author 2: Venkata Ratnam Kolluru

This research article proposes a novel Smart Com- munication Platform (SCP) to improve the Quality of Service (QoS) parameters in real time by using MSP430F2618. A static network has been implemented with narrow band Internet of Things (IoT) architecture which contains 10 nodes. SCP performs tracking of environmental parameters like… Read full abstract & cite →

Communication ESP8266 gateway Internet of Things (IoT) MSP430 power sensor

Abstract doi.org/10.14569/IJACSA.2020.0110923 PDF

24

A Critical Analysis of IS Governance Frameworks: A Metamodel of the Integrated Use of CobiT Framework

Author 1: Lamia MOUDOUBAH Author 2: Abir EL YAMAMI Author 3: Mansouri KHALIFA Author 4: Mohammed QBADOU

Information Systems Governance (ISG) is an essential component of corporate governance. It refers to the implementation of the means of decision-making. A considerable number of studies on information systems governance (ISG) have been published. Nevertheless, there is a need to conceptualize and model this theoretical context. The aim of this… Read full abstract & cite →

Information Systems Governance (ISG) IS process business process COBIT

Abstract doi.org/10.14569/IJACSA.2020.0110924 PDF

25

Prioritization of Software Functional Requirements from Developers Perspective

Author 1: Muhammad Yaseen Author 2: Aida Mustapha Author 3: Noraini Ibrahim

Prioritizing software requirements is important and difficult task during requirements management phase of requirements engineering. To ensure timely delivery of project, software developers have to prioritize functional requirements. The importance of prioritization increases when size of requirements is big. Software for large enterprises like the Enterprise Resource Planning (ERP) systems… Read full abstract & cite →

Requirements prioritization Functional Requirements (FRs) directed graph spanning tree (ST) Analytical Hierarchical Process (AHP)

Abstract doi.org/10.14569/IJACSA.2020.0110925 PDF

26

Understanding user Emotions Through Interaction with Persuasive Technology

Author 1: Wan Nooraishya Wan Ahmad Author 2: Nazlena Mohamad Ali Author 3: Ahmad Rizal Ahmad Rodzuan

Emotions play a vital role in persuasion; thus, the use of persuasive applications should affect and appeal to the users’ emotions. However, studies in persuasive technology have yet to discover what triggered the users’ emotions. Therefore, the objectives of this study are to examine user emotions and to identify the… Read full abstract & cite →

Emotion emotional states interaction persuasive technology captology

Abstract doi.org/10.14569/IJACSA.2020.0110926 PDF

27

Decision-Making Analysis using Arduino-Based Electroencephalography (EEG): An Exploratory Study for Marketing Strategy

Author 1: Ahmad Faiz Yazid Author 2: Siti Munirah Mohd Author 3: Abdul Razzak Khan Rustum Ali Khan Author 4: Shafinah Kamarudin Author 5: Nurhidaya Mohamad Jan

Business technology has brought conventional marketing methods to the next level. These emerging integrated technologies has contributed to the growth and understanding of the consumer decision making process. Several studies have attempted to evaluate media content, especially on video advertising or TV commercials using various neuroimaging techniques such as the… Read full abstract & cite →

Arduino-based electroencephalography (EEG) neuromarketing short-term memory TV commercials visual cognition

Abstract doi.org/10.14569/IJACSA.2020.0110927 PDF

28

Finger Movement Discrimination of EMG Signals Towards Improved Prosthetic Control using TFD

Author 1: E. F. Shair Author 2: N.A. Jamaluddin Author 3: A.R. Abdullah

Prosthetic is an artificially made as a substitute or replacement for missing part of a body. The function of the missing body part can be replaced by using the prosthesis and it can help disabled people do their activities easily. A myoelectric control system is a fundamental part of modern… Read full abstract & cite →

Electromyography feature extraction time-frequency distribution spectrogram classification machine learning

Abstract doi.org/10.14569/IJACSA.2020.0110928 PDF

29

Autism Spectrum Disorder Diagnosis using Optimal Machine Learning Methods

Author 1: Maitha Rashid Alteneiji Author 2: Layla Mohammed Alqaydi Author 3: Muhammad Usman Tariq

Autism spectrum disorder (ASD) is the disorder of communication and behavior that affects children and adults. It can be diagnosed at any stage of life. Most importantly, the first two years of life, regardless of ethnicity, race, or economic groups. There are different variations of ASD according to the severity… Read full abstract & cite →

Autism diagnosis autism disorder autism detection machine learning ASD

Abstract doi.org/10.14569/IJACSA.2020.0110929 PDF

30

Educational Tool for Generation and Analysis of Multidimensional Modeling on Data Warehouse

Author 1: Elena Fabiola Ruiz Ledesma Author 2: Elizabeth Moreno Galván Author 3: Enrique Alfonso Carmona García Author 4: Laura Ivoone Garay Jiménez

The curricular inclusion of topics, study plans, and teaching programs related to the study of Data Science has been trending mostly in higher-level education for the last years. However, the previous knowledge requirements for students to adequately assimilate these lessons are more specialised than the ones they obtain during secondary… Read full abstract & cite →

Educational data mining data cube view materialization educational software

Abstract doi.org/10.14569/IJACSA.2020.0110930 PDF

31

The Effects of Speed and Altitude on Wireless Air Pollution Measurements using Hexacopter Drone

Author 1: Rami Noori Author 2: Dahlila Putri Dahnil

Air pollution has a severe impact on human beings and one of the top risks facing human health. The data collection near pollution sources is difficult to obtain due to obstacles such as industrial and rural areas, where sensing usually fails to give enough information about the air quality. Unmanned… Read full abstract & cite →

Unmanned Aerial Vehicles (UAVs) low-cost sensors air pollution LoRa air quality radio transmitter atmosphere

Abstract doi.org/10.14569/IJACSA.2020.0110931 PDF

32

An Improved Image Retrieval by Using Texture Color Descriptor with Novel Local Textural Patterns

Author 1: Punit Kumar Johari Author 2: Rajendra Kumar Gupta

This paper proposes a new local descriptor of color, texture known as a Median Binary Pattern for color images (MBPC) and Median Binary Pattern of the Hue (MBPH). These suggested methods are extract discriminative features for the color image retrieval. In the surrounding region of a local window, the suggested… Read full abstract & cite →

Image retrieval Binary pattern feature extraction Median Binary Pattern for Color (MBPC) image Median Binary Pattern for Hue (MBPH)

Abstract doi.org/10.14569/IJACSA.2020.0110932 PDF

33

A Review of Recommender Systems for Choosing Elective Courses

Author 1: Mfowabo Maphosa Author 2: Wesley Doorsamy Author 3: Babu Paul

In higher education, students face challenges when choosing elective courses in their study programmes. Most higher education institutions employ advisors to assist with this task. Recommender systems have their origins in commerce and are used in other sectors such as education. Recommender systems offer an alternative to the use of… Read full abstract & cite →

Recommender systems elective courses data mining algorithms systematic literature review higher education

Abstract doi.org/10.14569/IJACSA.2020.0110933 PDF

34

Susceptible, Infectious and Recovered (SIR Model) Predictive Model to Understand the Key Factors of COVID-19 Transmission

Author 1: DeepaRani Gopagoni Author 2: P V Lakshmi

On 31 December 2019, WHO was alerted to several cases of pneumonia in Wuhan City, Hubei Province of China. The virus did not match any other known virus. This raised concern because when a virus is new, general behavior and how it affects, people do not know. Initial few cases… Read full abstract & cite →

COVID-19 SIR modeling WHO disease spread

Abstract doi.org/10.14569/IJACSA.2020.0110934 PDF

35

Automated Estrus Detection for Dairy Cattle through Neural Networks and Bounding Box Corner Analysis

Author 1: Nilo M. Arago Author 2: Chris I. Alvarez Author 3: Angelita G. Mabale Author 4: Charl G. Legista Author 5: Nicole E. Repiso Author 6: Rodney Rafael A. Robles Author 7: Timothy M. Amado Author 8: Romeo Jr. L. Jorda Author 9: August C. Thio-ac Author 10: Jessica S. Velasco Author 11: Lean Karlo S. Tolentino

Thorough and precise estrus detection plays a crucial role in the fertility of dairy cows. Farmers commonly used direct visual monitoring in recognizing estrus signs which demands time and effort and causes misinterpretations. The primary sign of estrus is the standing heat, where the dairy cows stand to be mounted… Read full abstract & cite →

Dairy cows estrus detection image processing TensorFlow Object Detection API custom neural network object overlapping

Abstract doi.org/10.14569/IJACSA.2020.0110935 PDF

36

An Efficient Cluster-Based Approach to Thwart Wormhole Attack in Adhoc Networks

Author 1: Kollu Spurthi Author 2: T N Shankar

Mobile Ad-hoc networks is an ascertaining domain with promising advancements, attracting researchers with a scope of enhancements and evolutions. These networks lack a definite structure and are autonomous with dynamic nature. The strength of the Ad-hoc network lies in the routing protocols making it an apt choice for transmission. With… Read full abstract & cite →

MANET LGF K++ Means clustering network security wormhole attack blackhole attack secured algorithm

Abstract doi.org/10.14569/IJACSA.2020.0110936 PDF

37

A Proposed User Requirements Document for Children’s Learning Application

Author 1: Mira Kania Sabariah Author 2: Paulus Insap Santosa Author 3: Ridi Ferdiana

User requirements are the highest level of requirements. Flawed user requirements document can cause defects in the software being built—aspects of applications that were not presented in the user requirements document to cause a defect. In learning applications for children, there are aspects of pedagogy that need to be well… Read full abstract & cite →

User requirements user requirements document learning application aspect of pedagogy children

Abstract doi.org/10.14569/IJACSA.2020.0110937 PDF

38

Design and Implementation of Real Time Data Acquisition System using Reconfigurable SoC

Author 1: Dharmavaram Asha Devi Author 2: Tirumala Satya Savithri Author 3: Sai Sugun.L

System on chip (SoC) technology is widely used for high speed and efficient embedded systems in various computing applications. To perform this task, Application Specific IC (ASIC) based system on chips are generally used till now by spending maximum amount of research, development time and money. However, this is not… Read full abstract & cite →

Application Specific Integrated Circuit (ASIC) Advanced eXtensible Interface (AXI) data acquisition system Field Programmable Gate Array (FPGA) Peripheral Module (PMOD) System on Chip (SoC)

Abstract doi.org/10.14569/IJACSA.2020.0110938 PDF

39

GAIT based Behavioral Authentication using Hybrid Swarm based Feed Forward Neural Network

Author 1: Gogineni Krishna Chaitanya Author 2: Krovi Raja Sekhar

Authentication of appropriate users for accessing the liable gadgets exists as one among the prime theme in security models. Illegal access of gadgets such as smart phones, laptops comes with an uninvited consequences, such as data theft, privacy breakage and a lot more. Straight forward approaches like pattern based security… Read full abstract & cite →

GIAT behavioral pattern recognition feedforward neural network krill herd algorithm

Abstract doi.org/10.14569/IJACSA.2020.0110939 PDF

40

Electricity Cost Prediction using Autoregressive Integrated Moving Average (ARIMA) in Korea

Author 1: Safdar Ali Author 2: Do-Hyeun Kim

Electricity cost plays a vital role due to the immense increase in power utilization, rise in energy rates and alarms about the variations and impact on the environment which ultimately affects electricity cost. We claim that electrical power utilization data became more beneficial if it is presented to the customers… Read full abstract & cite →

Electricity price electricity cost Autoregressive Integrated Moving Average (ARIMA) prediction energy consumption

Abstract doi.org/10.14569/IJACSA.2020.0110940 PDF

41

Deep Learning Bidirectional LSTM based Detection of Prolongation and Repetition in Stuttered Speech using Weighted MFCC

Author 1: Sakshi Gupta Author 2: Ravi S. Shukla Author 3: Rajesh K. Shukla Author 4: Rajesh Verma

Stuttering is a neuro-development disorder during which normal speech flow is not fluent. Traditionally Speech-Language Pathologists used to assess the extent of stuttering by counting the speech disfluencies manually. Such sorts of stuttering assessments are arbitrary, incoherent, lengthy, and error-prone. The present study focused on objective assessment to speech disfluencies… Read full abstract & cite →

Speech stuttering deep learning WMFCC Bi-LSTM

Abstract doi.org/10.14569/IJACSA.2020.0110941 PDF

42

Using of Redundant Signed-Digit Numeral System for Accelerating and Improving the Accuracy of Computer Floating-Point Calculations

Author 1: Otsokov Sh. A Author 2: Magomedov Sh.G

The article proposes a method for software implementation of floating-point computations on a graphics processing unit (GPU) with an increased accuracy, which eliminates sharp increase in rounding errors when performing arithmetic operations of addition, subtraction or multiplication with numbers that are significantly different from each other in magnitude. The method… Read full abstract & cite →

High-precision computation redundant signed-digit numeral system signed-digit floating-point format redundant signed-digit arithmetic decimal fractions

Abstract doi.org/10.14569/IJACSA.2020.0110942 PDF

43

Self-Configurable Current-Mirror Technique for Parallel RGB Light-Emitting Diodes (LEDs) Strings

Author 1: Shaheer Shaida Durrani Author 2: Asif Nawaz Author 3: Muhamamd Shahzad Author 4: Rehan Ali Khan Author 5: Abu Zaharin Ahmad Author 6: Ahmed Ali Shah Author 7: Sheeraz Ahmed Author 8: Zeeshan Najam

Traditional current-mirror circuits require buck converter to deal with one fixed current load. This paper deals with improved self-adjustable current-mirror methods that can address different LED loads under different conditions with the help of one buck converter. The operating principle revolves around a dynamic and self-configurable combinational circuit of transistor… Read full abstract & cite →

Current-balancing LED driver current mirror

Abstract doi.org/10.14569/IJACSA.2020.0110943 PDF

44

Implementation of a Clinical Decision Support Systems-Based Neonatal Monitoring System Framework

Author 1: Sobowale A. A Author 2: Olaniyan O. M Author 3: Adetan. O Author 4: Adanigbo. O Author 5: Esan. A Author 6: Olusesi. A.T Author 7: Wahab. W.B Author 8: Adewumi. O. A

A Clinical Decision Support-based information systems to monitor the vital signs of the neonate’s conditions in prematurely born babies placed in infant incubators of Neonatal Intensive Care Unit (NICU) is developed in this work. A DMS was developed consisting of a supervisory microcomputer and sensitive sensors for measuring the vital… Read full abstract & cite →

Clinical Decision Supports Systems (CDSS) Fuzzy Inference System (FIS) Neonatal Intensive Care Unit (NICU) vital signs neonates

Abstract doi.org/10.14569/IJACSA.2020.0110944 PDF

45

Machine Learning-Based Phishing Attack Detection

Author 1: Sohrab Hossain Author 2: Dhiman Sarma Author 3: Rana Joyti Chakma

This paper explores machine learning techniques and evaluates their performances when trained to perform against datasets consisting of features that can differentiate between a Phishing Website and a safe one. This capability of telling these sites apart from one another is vital in the modern-day internet surfing. As more and… Read full abstract & cite →

Phishing attack phishing attack detection phishing website detection machine learning random forest classifier

Abstract doi.org/10.14569/IJACSA.2020.0110945 PDF

46

Identifying Critical Success Factors of Financial ERP System in Higher Education Institution using ADVIAN® Method

Author 1: Ayogeboh Epizitone Author 2: Oludayo. O. Olugbara

Enterprise resource planning (ERP) has been widely accepted by many organizations as an information technology process to seamlessly integrate, manage, and boost performance in different units of an organization. However, there linger an unpleasant chasm on success and satisfaction rates of ERP system implementation that have limited the effective use… Read full abstract & cite →

Cross impact enterprise resource impact analysis resource planning success factor

Abstract doi.org/10.14569/IJACSA.2020.0110946 PDF

47

Machine Learning based Analysis on Human Aggressiveness and Reactions towards Uncertain Decisions

Author 1: Sohaib Latif Author 2: Abdul Kadir Abdullahi Hasan Author 3: Abdaziz Omar Hassan

Tweet data can be processed as a useful information. Social media sites like Twitter, Facebook, Google+ are rapidly growing popularity. These social media sites provide a platform for people to share and express their views about daily routine life, have to discuss on particular topics, have discussion with different communities… Read full abstract & cite →

Opinion mining Naïve Bayes linear regression support vector machine

Abstract doi.org/10.14569/IJACSA.2020.0110947 PDF

48

A Cluster-Based Mitigation Strategy Against Security Attacks in Wireless Sensor Networks

Author 1: Jahangir Khan Author 2: Ansar Munir Shah Author 3: Babar Nawaz Author 4: Khalid Mahmood Author 5: Muhammad Kashif Saeed Author 6: Mehmood ul Hassan

Wireless Sensor Networks (WSNs) applications range across distinct application comprising of event detection at real-time. WSNs can be deployed for not only mobile nodes but also for static sensor nodes (SNs) for various applications which may include health care system, smart parking, environmental monitoring etc. Sensor nodes in WSN are… Read full abstract & cite →

Wireless sensor network security attacks security issues clusters

Abstract doi.org/10.14569/IJACSA.2020.0110948 PDF

49

A Predictive Model for the Determination of Academic Performance in Private Higher Education Institutions

Author 1: Francis Makombe Author 2: Manoj Lall

The growth and development of predictive models in the current world has influenced considerable changes. Today, predictive modelling of academic performance has transformed more than a few institutions by improving their students' academic performance. This paper presents a computational predictive model using artificial neural networks to predict whether a student… Read full abstract & cite →

Classification modelling data mining higher education institutions accuracy academic performance

Abstract doi.org/10.14569/IJACSA.2020.0110949 PDF

50

The Effect of Requirements Quality and Requirements Volatility on the Success of Information Systems Projects

Author 1: Eman Osama Author 2: Ayman Khedr Author 3: Mohamed Abdelsalam

This study aims to identify the effect of poorly written requirements specifications of software development and its continuous changes; on information systems’ projects success and its influence on time and cost overrun of the project based on empirical understanding in practice. As the world is moving towards the internet of… Read full abstract & cite →

Requirement engineering Software Requirements Specification (SRS) requirements quality requirements volatility project success factor

Abstract doi.org/10.14569/IJACSA.2020.0110950 PDF

51

Dissemination and Implementation of THK-ANEKA and SAW-Based Stake Model Evaluation Website

Author 1: Dewa Gede Hendra Divayana Author 2: I Putu Wisna Ariawan Author 3: Agus Adiarta

The purpose of this study was to provide information about the dissemination and implementation of the THK-ANEKA and SAW-based Stake model evaluation website at Vocational Schools of IT in Bali. THK is an acronym for Tri Hita Karana. ANEKA is an acronym for Akuntabilitas, Nasionalisme, Etika publik, Komitmen mutu, dan… Read full abstract & cite →

Evaluation website stake model THK ANEKA SAW

Abstract doi.org/10.14569/IJACSA.2020.0110951 PDF

52

Physically-Based Animation in Performing Accuracy Bouncing Simulation

Author 1: Loh Ngiik Hoon

This study investigates the use of physics formulas in achieving plausible bouncing simulation in animation. The need for physics animation was to produce visually believable animations adhering to the basic laws of physics. Based on the review, the creation of accurate timing simulation in bouncing dynamic was significantly difficult particularly… Read full abstract & cite →

Bouncing simulation physics algorithm physics animation real time animation animation

Abstract doi.org/10.14569/IJACSA.2020.0110952 PDF

53

Physiotherapy: Design and Implementation of a Wearable Sleeve using IMU Sensor and VR to Measure Elbow Range of Motion

Author 1: Anzalna Narejo Author 2: Attiya Baqai Author 3: Neha Sikandar Author 4: Absar Ali Author 5: Sanam Narejo

Range of motion (RoM) is the measurement of angular movement of joints that defines the joints flexibility. It is crucial to measure RoM while performing musculo-skeletal diagnostics. The physiotherapy and the visits to hospitals can be very costly and demands a great deal of time; also most of the current… Read full abstract & cite →

Range of Motion (RoM) physiotherapy Inertial Measurement Unit (IMU) Virtual Reality (VR)

Abstract doi.org/10.14569/IJACSA.2020.0110953 PDF

54

Outlier Detection using Nonparametric Depth-Based Techniques in Hydrology

Author 1: Insia Hussain

Several issues arise when extending the methods of outlier detection from a single dimension to a higher dimension. These issues include limited methods for visualization, marginal methods inadequacy, lacking a natural order and limitation in parametric modeling. The intension to overcome and address such limitations the nonparametric outlier identifier, based… Read full abstract & cite →

Outlyingness functions nonparametric techniques flood characteristics principal component scores multivariate analysis functional analysis

Abstract doi.org/10.14569/IJACSA.2020.0110954 PDF

55

A Hybrid Approach to Enhance Scalability, Reliability and Computational Speed in LoRa Networks

Author 1: S. Raja Gopal Author 2: V S V Prabhakar

The spreading out of Internet of Things (IoT) facilitates with new wireless communication Technologies. To have reliable communication for long duration, low power wide area can be aimed at sensor nodes. These days, LoRa has become a recognizable preference for IoT based solutions. In this paper LoRa network performance is… Read full abstract & cite →

Hybrid technique Internet of Things (IoT) lightweight scheduling LoRa pruning algorithm scalability reliability

Abstract doi.org/10.14569/IJACSA.2020.0110955 PDF

56

A New Online Plagiarism Detection System based on Deep Learning

Author 1: El Mostafa Hambi Author 2: Faouzia Benabbou

The Plagiarism is an increasingly widespread and growing problem in the academic field. Several plagiarism techniques are used by fraudsters, ranging from a simple synonym replacement, sentence structure modification, to more complex method involving several types of transformation. Human based plagiarism detection is difficult, not accurate, and time-consuming process. In… Read full abstract & cite →

Plagiarism detection plagiarism detection tools deep learning Doc2vec Stacked Long Short-Term Memory (SLSTM) Convolutional Neural Network (CNN) Siamese neural network

Abstract doi.org/10.14569/IJACSA.2020.0110956 PDF

57

Impact of Project-Based Learning on Networking and Communications Competences

Author 1: Cristian Castro-Vargas Author 2: Maritza Cabana-Caceres Author 3: Laberiano Andrade-Arenas

The objective of this article is to establish the impact of project-based learning on networking and communication competences I in engineering students from Lima city. The study was of an applied type, quasi-experimental design, and was made up of a population conformed by 39 students of the VI cycle of… Read full abstract & cite →

Project-based learning competencies networking communications network convergence

Abstract doi.org/10.14569/IJACSA.2020.0110957 PDF

58

Artificial Intelligent Techniques for Palm Date Varieties Classification

Author 1: Lazhar Khriji Author 2: Ahmed Chiheb Ammari Author 3: Medhat Awadalla

The demand on high quality palm dates is increasing due to its energy value and nutrient content, which are of great importance in human diet. To meet consumer and market standards with large-scale production, in Oman as among the top date producer, an inline classification system is of great importance… Read full abstract & cite →

Palm date feature extraction machine learning computer vision

Abstract doi.org/10.14569/IJACSA.2020.0110958 PDF

59

Computational Analysis of Arabic Cursive Steganography using Complex Edge Detection Techniques

Author 1: Anwar H. Ibrahim Author 2: Abdulrahman S. Alturki

Arabic language contains a multiple set of features which complete the process of embedding and extracting text from the compressed image. In specific, the Arabic language covers numerous textual styles and shapes of the Arabic letter. This paper investigated Arabic cursive steganography using complex edge detection techniques via compressed image… Read full abstract & cite →

Arabic language Berkeley Segmentation Database (BSD) Least Significant Bit (LSB) Roberts Prewitt Sobel LoG Canny

Abstract doi.org/10.14569/IJACSA.2020.0110959 PDF

60

The Most Efficient Classifiers for the Students’ Academic Dataset

Author 1: Ebtehal Ibrahim Al-Fairouz Author 2: Mohammed Abdullah Al-Hagery

Educational institutions contain a vast collection of data accumulated for years, so it is difficult to use this data to solve problems related to the progress of the educational process and also contribute to achieving quality. For this reason, the use of data mining techniques helps to extract hidden knowledge… Read full abstract & cite →

Data mining student performance classification algorithms evaluation

Abstract doi.org/10.14569/IJACSA.2020.0110960 PDF

61

An Empirical Study of e-Learning Interface Design Elements for Generation Z

Author 1: Hazwani Nordin Author 2: Dalbir Singh Author 3: Zulkefli Mansor

E-learning is the latest evolution of electronic-based learning that creates, fosters, delivers and facilitates the learning process anytime and anywhere with the use of interactive network technology. The use of e-learning as a learning platform makes users want a high quality of interface design to interact with the e-learning system… Read full abstract & cite →

e-Learning interface design generation Z culture focus group

Abstract doi.org/10.14569/IJACSA.2020.0110961 PDF

62

Cotton Leaf Image Segmentation using Modified Factorization-Based Active Contour Method

Author 1: Bhagya M Patil Author 2: Basavaraj Amarapur

Cotton plant is one of the most widely cultivated crop across worldwide. The leaf is one of the important parts which help in the food production. There are different cotton leaf diseases like Alternaria spot, foliar, bacterial blight, etc. which affects the agricultural yield. In order to detect the diseases… Read full abstract & cite →

Cotton leaf active contour Gradient Vector Flow (GVF) Adaptive Diffusion Flow (ADF) Vector Flow Convolution (VFC) Modified factorization based active contour (MFACM)

Abstract doi.org/10.14569/IJACSA.2020.0110962 PDF

63

Trading Saudi Stock Market Shares using Multivariate Recurrent Neural Network with a Long Short-term Memory Layer

Author 1: Fahd A. Alturki Author 2: Abdullah M. Aldughaiyem

This study tests the Saudi stock market weak form using the weak form of an efficient market hypothesis and proposes a recurrent neural network (RNN) to produce a trading signal. To predict the next-day trading signal of several shares in the Saudi stock market, we designed the RNN with a… Read full abstract & cite →

Time series neural network long short-term memory stock price Tadawul

Abstract doi.org/10.14569/IJACSA.2020.0110963 PDF

64

Implementing the Behavioral Semantics of Diagrammatic Languages by Co-simulation

Author 1: Daniel-Cristian Craciunean

Due to the multidisciplinary nature of cyber-physical systems, it is impossible for an existing modeling language to be used effectively in all cases. For this reason, the development of domain-specific modeling languages is beginning to become an integral part of the modeling process. This diversification of modeling languages often implies… Read full abstract & cite →

DSML cyber-physical systems behavioral semantics standalone FMU FMI diagrammatic language

Abstract doi.org/10.14569/IJACSA.2020.0110964 PDF

65

A Cluster based Non-Linear Regression Framework for Periodic Multi-Stock Trend Prediction on Real Time Stock Market Data

Author 1: Lakshmana Phaneendra Maguluri Author 2: R. Ragupathy

Trend prediction is and has been one of the very important tasks in the stock market since day one. For a sophisticated trend prediction using real time stock market data, stock sentiment news and technical analysis plays a vital role. While predicting the trend in the conventional way, technical indicators… Read full abstract & cite →

Multi-stock trend prediction stock market clustering nonlinear regression

Abstract doi.org/10.14569/IJACSA.2020.0110965 PDF

66

Development of a Graphic Information System Applied to Quality Statistic Control in Production Processes

Author 1: Laura Vazquez Author 2: Alicia Valdez Author 3: Griselda Cortes Author 4: Mariana Rosales

One of the advantages that organizations have when using an Information System is the control of their activities. This article develops an Information System that will allow an organization to graphically obtain the real results of a production process by applying Nelson's eight rules to determine if any measured variable… Read full abstract & cite →

Information system Nelson’s rules Model View Controller pattern C# ASP.NET

Abstract doi.org/10.14569/IJACSA.2020.0110966 PDF

67

Netnography and Text Mining to Understand Perceptions of Indian Travellers using Online Travel Services

Author 1: Dashrath Mane Author 2: Prateek Srivastava

Advancements in the electronic commerce industry have helped online travel services (OTA) in many ways. The paper examines the overall impact of traveller’s using online services and their sentiments derived from a collection of reviews for online travel service providers known as online travel agents (OTA) in India. Customer reviews… Read full abstract & cite →

Consumer travellers netnography text mining OTA sentiment perception

Abstract doi.org/10.14569/IJACSA.2020.0110967 PDF

68

Multi-Dimensional Fraud Detection Metrics in Business Processes and their Application

Author 1: Badr Omair Author 2: Ahmad Alturki

Occupational fraud is defined as the deliberate misuse of one’s occupation for personal enrichment. It poses a significant challenge for organizations and governments. Estimates indicate that the funds involved in occupational fraud cases investigated across 125 countries between 2018 and 2019 exceeded US$3.6 billion. Process-based fraud (PBF) is a form… Read full abstract & cite →

Business process fraud fraud detection fraud indicators fraud measures fraud metrics PBF red flags

Abstract doi.org/10.14569/IJACSA.2020.0110968 PDF

69

Video Processing for Animation at Key Points of Movement in the Mimosa Pudica

Author 1: Rodolfo Romero-Herrera Author 2: Laura Mendez-Segundo

The processing of an image of a moving plant is inadequate, for this reason, digital video processing must be incorporated, which allows the behavior of an algorithm to be analyzed over time. A method is presented that takes images of a plant with autonomous movement filmed on video; the frames… Read full abstract & cite →

Harris Brisk correlation ROI (Region of Interest) Canny. Sobel Mimosa Pudica movement

Abstract doi.org/10.14569/IJACSA.2020.0110969 PDF

70

Population based Optimized and Condensed Fuzzy Deep Belief Network for Credit Card Fraudulent Detection

Author 1: Jisha M. V Author 2: D. Vimal Kumar

In this information era, with the advancement in technology, there is a high risk due to financial fraud which is a continually increasing menace during online transactions. Credit card fraudulent identification is a toughest challenge because of two important issues, as the profile of the credit card user’s behavior changes… Read full abstract & cite →

Credit card fraudulent uncertainty intuitionistic fuzzy fuzzy deep belief network sea turtle foraging

Abstract doi.org/10.14569/IJACSA.2020.0110970 PDF

71

Meta-Analysis of Artificial Intelligence Works in Ubiquitous Learning Environments and Technologies

Author 1: Caitlin Sam Author 2: Nalindren Naicker Author 3: Mogiveny Rajkoomar

Ubiquitous learning (u-learning) refers to anytime and anywhere learning. U-learning has progressed to be considered a conventional teaching and learning approach in schools and is adopted to continue with the school curriculum when learners cannot attend schools for face-to-face lessons. Computer Science, namely the field of Artificial Intelligence (AI) presents… Read full abstract & cite →

Educational data mining intelligent systems artificial intelligence PRISMA machine learning ubiquitous learning

Abstract doi.org/10.14569/IJACSA.2020.0110971 PDF

72

Hate Speech Detection in Twitter using Transformer Methods

Author 1: Raymond T Mutanga Author 2: Nalindren Naicker Author 3: Oludayo O Olugbara

Social media networks such as Twitter are increasingly utilized to propagate hate speech while facilitating mass communication. Recent studies have highlighted a strong correlation between hate speech propagation and hate crimes such as xenophobic attacks. Due to the size of social media and the consequences of hate speech in society… Read full abstract & cite →

Attention transformer deep learning neural network recurrent network sequence transduction

Abstract doi.org/10.14569/IJACSA.2020.0110972 PDF

73

VerbNet based Citation Sentiment Class Assignment using Machine Learning

Author 1: Zainab Amjad Author 2: Imran Ihsan

Citations are used to establish a link between articles. This intent has changed over the years, and citations are now being used as a criterion for evaluating the research work or the author and has become one of the most important criteria for granting rewards or incentives. As a result… Read full abstract & cite →

Citation content analysis sentiment analysis semantic analysis ontology natural language processing

Abstract doi.org/10.14569/IJACSA.2020.0110973 PDF

74

DBSR: A Depth-Based Secure Routing Protocol for Underwater Sensor Networks

Author 1: Ayman Alharbi

Depth-Based protocol has gained considerable attention as an efficient routing scheme for Underwater Wireless Sensor Networks UWSNs. It requires only depth information to perform the routing process. Despite this feature, UWSNs which operate with the employment of DBR protocol are vulnerable to depth spoofing attack. In this paper, Depth Based… Read full abstract & cite →

UWSN DBR ECC

Abstract doi.org/10.14569/IJACSA.2020.0110974 PDF

75

Product Recommendation in Offline Retail Industry by using Collaborative Filtering

Author 1: Bayu Yudha Pratama Author 2: Indra Budi Author 3: Arlisa Yuliawati

The variety of purchased products is important for retailers. When a customer buys a specific product in a large number, the customer might get benefit, such as more discounts. On contrary, this could harm the retailers since only some products are sold quickly. Due to this problem, big retailers try… Read full abstract & cite →

Recommendation system offline retail store memory-based collaborative filtering customer segmentation

Abstract doi.org/10.14569/IJACSA.2020.0110975 PDF

76

Using Wearable Sensors for Human Activity Recognition in Logistics: A Comparison of Different Feature Sets and Machine Learning Algorithms

Author 1: Abbas Shah Syed Author 2: Zafi Sherhan Syed Author 3: Muhammad Shehram Shah Author 4: Salahuddin Saddar

The topic of human activity recognition has gained a lot of attention due to its usage for exercise monitoring, smart health and assisted living. Even though the aforementioned domains have received significant interest by researchers, activity recognition for industrial settings has received little attention in comparison. Industry 4.0 involves the… Read full abstract & cite →

Human Activity Recognition (HAR) inertial sen-sors LARa dataset smart industry

Abstract doi.org/10.14569/IJACSA.2020.0110976 PDF

77

Real-Time Healthcare Monitoring System using Online Machine Learning and Spark Streaming

Author 1: Fawzya Hassan Author 2: Masoud E. Shaheen Author 3: Radhya Sahal

The real-time monitoring and tracking systems play a critical role in the healthcare field. Wearable medical devices with sensors, mobile applications, and health cloud have continuously generated an enormous amount of data, often called streaming big data. Due to the higher speed of the streaming data, it is difficult to… Read full abstract & cite →

Online machine learning streaming data Apache Spark Apache Kafka spark streaming machine learning

Abstract doi.org/10.14569/IJACSA.2020.0110977 PDF

78

Fundamental Capacity Analysis for Identically Independently Distributed Nakagami-q Fading Wireless Communication

Author 1: Siam Bin Shawkat Author 2: Md. Mazid-Ul-Haque Author 3: Md. Sohidul Islam Author 4: Borshan Sarker Sonok

With the advancement in technology, decent trans-fer rate of data for fast communication is an exigency. Different distributions on different wireless communication channels have been used previously to model them and to do performance analysis on the systems. In this work, capacity analysis of iden-tically independently distributed Nakagami-q fading single-input… Read full abstract & cite →

Wireless communication SIMO channel capacity Nakagami-q fading Hoyt distribution low SNR regime

Abstract doi.org/10.14569/IJACSA.2020.0110978 PDF

79

Unified Approach for White Blood Cell Segmentation, Feature Extraction, and Counting using Max-Tree Data Structure

Author 1: Bilkis Jamal Ferdosi

Accurate identification and counting of White Blood Cells (WBCs) from microscopy blood cell images are vital for several blood-related disease diagnoses such as leukemia. The inevitability of automated cell image analysis in medical diagnosis results in a plethora of research for the last few decades. Microscopic blood cell image analysis… Read full abstract & cite →

Segmentation feature extraction White Blood Cell (WBC) mathematical morphology max-tree

Abstract doi.org/10.14569/IJACSA.2020.0110979 PDF

80

DistB-SDoIndustry: Enhancing Security in Industry 4.0 Services based on Distributed Blockchain through Software Defined Networking-IoT Enabled Architecture

Author 1: Anichur Rahman Author 2: Umme Sara Author 3: Dipanjali Kundu Author 4: Saiful Islam Author 5: Md. Jahidul Islam Author 6: Mahedi Hasan Author 7: Ziaur Rahman Author 8: Mostofa Kamal Nasir

The concept of Industry 4.0 is a newly emerging focus of research throughout the world. However, it has lots of challenges to control data, and it can be addressed with various technologies like Internet of Things (IoT), Big Data, Artificial Intelligence (AI), Software Defined Networking (SDN), and Blockchain (BC) for… Read full abstract & cite →

IoT SDN BC AI security privacy industry 4.0

Abstract doi.org/10.14569/IJACSA.2020.0110980 PDF

81

Small-LRU: A Hardware Efficient Hybrid Replacement Policy

Author 1: Purnendu Das Author 2: Bishwa Ranjan Roy

Replacement policy plays a major role in improving the performance of the modern highly associative cache memo-ries. As the demand of data intensive application is increasing it is highly required that the size of the Last Level Cache (LLC) must be increased. Increasing the size of the LLC also increases… Read full abstract & cite →

Replacement policies cache memories last level cache hardware overheads dead block

Abstract doi.org/10.14569/IJACSA.2020.0110981 PDF

82

Parameter Estimation of the ALBA Autonomous Surface Craft

Author 1: Melanie M. Valdivia-Fernandez Author 2: Brayan A. Monroy-Ochoa Author 3: Daniel D. Yanyachi Author 4: Juan C. Cutipa-Luque

Arequipa region holds the largest extension of the Peruvian littoral at the Pacific sea, has also fresh water resources composed of rivers and lagoons from the coast to the Andes highland. The ALBA vehicle is a low-cost autonomous surface vessel with open source architecture that is being developed to support… Read full abstract & cite →

Autonomous surface craft parameter estimation modeling maximum likelihood nonlinear zigzag

Abstract doi.org/10.14569/IJACSA.2020.0110982 PDF

83

Mobility-Aware Container Migration in Cloudlet-Enabled IoT Systems using Integrated Muticriteria Decision Making

Author 1: Mutaz A. B. Al-Tarawneh

Service migration plays a vital role in continuous service delivery in Internet of Things (IoT) systems. This pa-per presents a mobility-aware container migration algorithm for Cloudlet-enabled IoT systems. The proposed algorithm is based on an integrated multicriteria decision making (MCDM) approach. It has been implemented using a specialized simulation tool… Read full abstract & cite →

Internet of Things (IoT) container migration Cloudlet criteria decision making

Abstract doi.org/10.14569/IJACSA.2020.0110983 PDF

84

Disaster Recovery in Cloud Computing Systems: An Overview

Author 1: Abedallah Zaid Abualkishik Author 2: Ali A. Alwan Author 3: Yonis Gulzar

With the rapid growth of internet technologies, large-scale online services, such as data backup and data recovery are increasingly available. Since these large-scale online services require substantial networking, processing, and storage capacities, it has become a considerable challenge to design equally large-scale computing infrastructures that support these services cost-effectively. In… Read full abstract & cite →

Cloud computing data backup disaster recovery multi-cloud

Abstract doi.org/10.14569/IJACSA.2020.0110984 PDF

85

An IoT based Urban Areas Air Quality Monitoring Prototype

Author 1: Martin M. Soto-Cordova Author 2: Martha Medina-De-La-Cruz Author 3: Anderson Mujaico-Mariano

According to the World Health Organization, the most affected places with the presence of polluting gases and particles in suspension are urban areas due to the emissions corresponding to human activities, they have also caused diseases and deaths in millions of people in the world. This paper describes the process… Read full abstract & cite →

Air pollution air quality Arduino Internet of Things (IoT) cloud service MQTT Air Quality Index (AQI) sensors

Abstract doi.org/10.14569/IJACSA.2020.0110985 PDF

86

Modeling and Interpretation of Covid-19 Infections Data at Peru through the Mitchell’s Criteria

Author 1: Huber Nieto-Chaupis

In this paper, the criteria of Tom Mitchell based at the philosophy of Machine Learning have been used to interpret data of new cases per week of infections by Covid-19 at Per´u. For this, it was constructed a mathematical scheme that encloses the Mitchell’s criteria as well as the idea… Read full abstract & cite →

Covid-19 epidemiology machine learning Tom Mitchell Monte Carlo

Abstract doi.org/10.14569/IJACSA.2020.0110986 PDF