IJACSA Vol. 11 Issue 10 (2020)

1

Performance Analysis for Mining Images of Deep Web

Author 1: Ily Amalina Ahmad Sabri Author 2: Mustafa Man

In this paper, advancing web scale knowledge extraction and alignment by integrating few sources has been considered by exploring different methods of aggregation and attention in order to focus on image information. An improved model, namely, Wrapper Extraction of Image using DOM and JSON (WEIDJ) has been proposed to extract… Read full abstract & cite →

Data extraction Document Object Model web data extraction Wrapper using Hybrid DOM and JSON Wrapper Extraction of Image using DOM and JSON

Abstract doi.org/10.14569/IJACSA.2020.0111001 PDF

2

Alzheimer’s Disease Detection using Neighborhood Components Analysis and Feature Selection

Author 1: Mohamed Maher Ben Ismail Author 2: Reema Alabdullatif Author 3: Ouiem Bchir

In this paper, we propose a Computer Aided Diagnosis (CAD) system in order to assist the physicians in the early detection of Alzheimer’s Disease (AD) and ensure an effective diagnosis. The proposed framework is designed to be fully-automated upon the capture of the brain structure using Magnetic Resonance Imaging (MRI)… Read full abstract & cite →

Alzheimer detection classification feature selection

Abstract doi.org/10.14569/IJACSA.2020.0111002 PDF

3

Support Kernel Classification: A New Kernel-Based Approach

Author 1: Ouiem Bchir Author 2: Mohamed M. Ben Ismail Author 3: Sara Algarni

In this paper, we introduce a new classification approach that learns class dependent Gaussian kernels and the belongingness likelihood of the data points with respect to each class. The proposed Support Kernel Classification (SKC) is designed to characterize and discriminate between the data instances from the different classes. It relies… Read full abstract & cite →

Supervised learning classification kernel based learning

Abstract doi.org/10.14569/IJACSA.2020.0111003 PDF

4

e-Lifestyle Confirmatory of Consumer Generation Z

Author 1: Tony Wijaya Author 2: Arum Darmawati Author 3: Andreas M Kuncoro

The development of information technology has changed daily life patterns that tend towards digital. Differences across generations will result in understanding different behaviors and lifestyles, which are a challenge in this research. Lifestyle is needed in determining market segments of consumer behavior. Lifestyle understanding in Generation Z is expected to… Read full abstract & cite →

e-Lifestyle consumer Generation Z social media information technology

Abstract doi.org/10.14569/IJACSA.2020.0111004 PDF

5

A Novel Chaotic System for Text Encryption Optimized with Genetic Algorithm

Author 1: Unnikrishnan Menon Author 2: Anirudh Rajiv Menon Author 3: Atharva Hudlikar

With meteoric developments in communication systems and data storage technologies, the need for secure data transmission is more crucial than ever. The level of security provided by any cryptosystem relies on the sensitivity of the private key, size of the key space as well as the trapdoor function being used… Read full abstract & cite →

Chaotic map genetic algorithm encryption bifurcation diagram Lyapunov exponent

Abstract doi.org/10.14569/IJACSA.2020.0111005 PDF

6

Optimizing the C4.5 Decision Tree Algorithm using MSD-Splitting

Author 1: Patrick Rim Author 2: Erin Liu

We propose an optimization of Dr. Ross Quin-lan’s C4.5 decision tree algorithm, used for data mining and classification. We will show that by discretizing and binning a data set’s continuous attributes into four groups using our novel technique called MSD-Splitting, we can significantly improve both the algorithm’s accuracy and efficiency… Read full abstract & cite →

C4.5 Algorithm decision tree data mining machine learning classification

Abstract doi.org/10.14569/IJACSA.2020.0111006 PDF

7

Extraction of Keywords for Retrieval from Paper Documents and Drawings based on the Method of Determining the Importance of Knowledge by the Analytic Hierarchy Process: AHP

Author 1: Kohei Arai

Extraction method of keywords for retrieval from paper documents and drawings based on the method of determining the importance of knowledge by the Analytic Hierarchy Process: AHP method is proposed. The method allows distinguish the documents into three categories, letter, form and drawing types of documents, then the most appropriate… Read full abstract & cite →

AHP method extraction keywords production rule system document/diagram recognitions certainty factor

Abstract doi.org/10.14569/IJACSA.2020.0111007 PDF

8

Data Retrieval Method based on Physical Meaning and its Application for Prediction of Linear Precipitation Zone with Remote Sensing Satellite Data and Open Data

Author 1: Kohei Arai

Data retrieval method based on physical meaning is proposed together with its application for prediction of linear precipitation zone with remote sensing satellite data and open data. The linear precipitation zone causes extremely severe storm and flood damage, landslide, and so on. Linear precipitation zone is formed in the case… Read full abstract & cite →

Linear precipitation zone remote sensing satellite data water vapor cloud liquid upper atmospheric wind disaster mitigation

Abstract doi.org/10.14569/IJACSA.2020.0111008 PDF

9

Ranking Beauty Clinics in Riyadh using Lexicon-Based Sentiment Analysis and Multiattribute-Utility Theory

Author 1: Zuhaira M. Zain Author 2: Aya A. Alhajji Author 3: Norah S. Alotaibi Author 4: Najwa B. Almutairi Author 5: Alaa D. Aldawas Author 6: Muneerah M. Almazrua Author 7: Atheer M. Alhammad

In recent years, the amount of beauty-related user-created content has steadily increased. Digital beauty-clinic reviews have major impact on user preferences. In supporting user selection decisions, ranking beauty clinics via online reviews is a valuable study subject, although research on this problem is still fairly limited. Sentiment analysis is a… Read full abstract & cite →

Arabic language beauty clinics ranking Lexicon-based machine learning sentiment analysis multiattribute-utility theory

Abstract doi.org/10.14569/IJACSA.2020.0111009 PDF

10

Blockchain Network Model to Improve Supply Chain Visibility based on Smart Contract

Author 1: Arwa Mukhtar Author 2: Awanis Romli Author 3: Noorhuzaimi Karimah Mohd

Due to the increasing complexity of supply chains over the past years, many factors significantly contribute to lowering the supply chains performance. Poor visibility is one of the major challenging factors that lowers supply chains performance. This paper proposes a Blockchain-based supply chain network model to improve the supply chain… Read full abstract & cite →

Supply chain management supply chain visibility blockchain smart contact information sharing traceability inventory visibility

Abstract doi.org/10.14569/IJACSA.2020.0111010 PDF

11

Development of Relay Selection Method for Audio Transmission in Cooperative Ad Hoc Networks

Author 1: Usha Padma Author 2: H.V.Kumaraswamy Author 3: S.Ravishankar

The quality of service parameters, such as Latency and Bit error rate for audio transmission in IEEE 802.11b Wireless ad hoc network are analyzed in this paper. The issue addressed here is that the quality of the audio, when transmitted directly from source to destination in ad hoc network is… Read full abstract & cite →

Cooperative communication channel strength ad hoc networks maximal ratio combining IEEE 802.11b G.711 Codec Mean Openion Score (MOS)

Abstract doi.org/10.14569/IJACSA.2020.0111011 PDF

12

KadOLSR: An Efficient P2P Overlay for Mobile Ad Hoc Networks

Author 1: Mohammad Al Mojamed

P2P and MANET are self-organized, decentralized, and dynamic networks. Although both networks have common characteristics, they are used for different purposes and operate at different layers. P2P provides the ability for peers to store and locate services in the network, while MANET provides an underlying routing capability to reach other… Read full abstract & cite →

Peer-To-Peer P2P Mobile ad hoc Networks MANET cross layering Kademlia Optimized Link State Routing OLSR KadOLSR

Abstract doi.org/10.14569/IJACSA.2020.0111012 PDF

13

Identification of Student-Teachers Groups’ Needs in Physical Education and Sport for Designing an Open Distance Learning on the Model of Small Private Online Courses

Author 1: Mostafa HAMSE Author 2: Said LOTFI Author 3: Mohammed TALBI

Currently, there are witnessing several distance-learning offerings: FOAD (Open Distance Learning) MOOCs (Massive Open Online Course) and SPOCS (Small Private Online Courses) in various intervention sectors including education and training. However, little research has dealt with analyzing the needs of participants before implementing SPOCs in higher education. This study aims… Read full abstract & cite →

Needs physical education and sport professional training SPOC teachers

Abstract doi.org/10.14569/IJACSA.2020.0111013 PDF

14

A Classification Javanese Letters Model using a Convolutional Neural Network with KERAS Framework

Author 1: Yulius Harjoseputro

One of the essential things in research engaged in the field of Computer Vision is image classification, wherein previous studies models were used to classify an image. Javanese Letters, in this case, is a basis of a sentence that uses the Javanese language. The problem is that Javanese sentences are… Read full abstract & cite →

Javanese letters deep learning convolutional neural network epoch framework KERAS

Abstract doi.org/10.14569/IJACSA.2020.0111014 PDF

15

Debris Run-Out Modeling Without Site-Specific Data

Author 1: NMT De Silva Author 2: Prasad Wimalaratne

Recent population growth and actions near hilly areas increase the vulnerability of occurring landslides. The effects of climate change further increase the likelihood of landslide danger. Therefore, accurate analysis of unstable slope behavior is crucial to prevent loss of life and destruction to property. Predicting landslide flow path is essential… Read full abstract & cite →

Landslide flow path route of debris hazard mapping D8 Algorithm multiple direction flow algorithm

Abstract doi.org/10.14569/IJACSA.2020.0111015 PDF

16

Improved Selected Mapping Technique for Reduction of PAPR in OFDM Systems

Author 1: Saruti Gupta Author 2: Ashish Goel

High peak to average power ratio (PAPR) is a limiting factor towards the performance of an OFDM system. Selected Mapping (SLM) is a popular peak to average power ratio (PAPR) reduction scheme used with the OFDM systems. In this technique, U set of candidate sequences are generated that leads to… Read full abstract & cite →

Orthogonal Frequency Division Multiplexing (OFDM) Peak to Average Power Ratio (PAPR) Selected Mapping (SLM) Complementary Cumulative Distribution Function (CCDF) PAPR threshold

Abstract doi.org/10.14569/IJACSA.2020.0111016 PDF

17

Efficient DWT based Fusion Algorithm for Improving Contrast and Edge Preservation

Author 1: Sumanth Kumar Panguluri Author 2: Laavanya Mohan

The main principle of infrared (IR) image is that it captures thermal radiation of light. The objects that are captured in low light, fog, and snow conditions can be detected clearly in IR image. But the major drawback of IR image is that it provides poor resolution and low texture… Read full abstract & cite →

Visible image infrared image Discrete Wavelet Transform (DWT) Inverse Discrete Wavelet Transform (IDWT) novel mean-weighted fusion rule max fusion rule

Abstract doi.org/10.14569/IJACSA.2020.0111017 PDF

18

A Comparison of Classification Models to Detect Cyberbullying in the Peruvian Spanish Language on Twitter

Author 1: Ximena M. Cuzcano Author 2: Victor H. Ayma

Cyberbullying is a social problem in which bullies’ actions are more harmful than in traditional forms of bullying as they have the power to repeatedly humiliate the victim in front of an entire community through social media. Nowadays, multiple works aim at detecting acts of cyberbullying via the analysis of… Read full abstract & cite →

Cyberbullying detection machine learning natural language processing feature extraction

Abstract doi.org/10.14569/IJACSA.2020.0111018 PDF

19

An Investigative Study of Genetic Algorithms to Solve the DNA Assembly Optimization Problem

Author 1: Hachemi Bennaceur Author 2: Meznah Almutairy Author 3: Nora Alqhtani

This paper aims to highlight the motivations for investigating genetic algorithms to solve the DNA Fragments Assembly problem (DNA_FA). DNA_FA is an optimization problem that attempts to reconstruct the original DNA sequence by finding the shortest DNA sequence from a given set of fragments. We showed that the DNA_FA optimization… Read full abstract & cite →

Genetic Algorithms Traveling Salesman Problem Quadratic Assignment Problem DNA fragments assembly problem

Abstract doi.org/10.14569/IJACSA.2020.0111019 PDF

20

A Planar Antenna on Flexible Substrate for Future 5G Energy Harvesting in Malaysia

Author 1: A. K. M. Zakir Hossain Author 2: Nurulhalim Bin Hassim Author 3: S. M. Kayser Azam Author 4: Md Shazzadul Islam Author 5: Mohammad Kamrul Hasan

This article presents a planar monopole antenna on flexible substrate for middle band 5G (3.5 GHz) application in Malaysia. The antenna has been designed and optimized for its gain and efficiency with an improved performance in contrast of flexible substrate-based other antennas. The antenna resonates at 3.53 GHz and it… Read full abstract & cite →

Planar monopole flexible substrate 3G bending effect rectenna RF rectifier energy harvesting

Abstract doi.org/10.14569/IJACSA.2020.0111020 PDF

21

Rule-based Text Normalization for Malay Social Media Texts

Author 1: Siti Noor Allia Noor Ariffin Author 2: Sabrina Tiun

Malay social media text is a text written on social media networks like Twitter. Commonly, this text comprises non-standard words, filled with dialects, foreign languages, word abbreviations, grammatical neglect, spelling errors, and many more. It is well known that this type of text is difficult to process due to its… Read full abstract & cite →

Malay normalization Malay text normalization informal Malay text Malay tweets rule-based normalizer

Abstract doi.org/10.14569/IJACSA.2020.0111021 PDF

22

Distributed Beam Forming Techniques for Dual-hop Decode-and-Forward based Cooperative Relay Networks

Author 1: Zahoor Ahmed Author 2: Zuhaibuddin Bhutto Author 3: Syed Muhammad Shehram Shah Author 4: Ramesh Kumar Author 5: Ayaz Hussain

In this paper, it has been proved that the transmission rate can be increased substantially by alleviating co-channel interference by use of beamforming techniques at relay stations. In this setup, the downlink transmission segment is taken into consideration from the Base Station (BS) to two Mobile Stations (MS). The data… Read full abstract & cite →

Beamforming base station decode and forward mobile station relay station

Abstract doi.org/10.14569/IJACSA.2020.0111022 PDF

23

An M/M/1 Preemptive Queue based Priority MAC Protocol for WBSN to Transmit Pilgrims’ Data

Author 1: Shah Murtaza Rashid Al Masud Author 2: Mahmood ul Hassan Author 3: Khalid Mahmood Author 4: Muhammad Akram

Every year during Hajj in Saudi Arabia and Kumbh Mela in India, many pilgrims suffering from different medical emergencies thus need real-time and fast healthcare services. Quick healthcare can be facilitated by setting up Wireless Body Sensor Network (WBSN) on pilgrims because of its suitability for a wide range of… Read full abstract & cite →

Wireless body sensor network medium access control protocol preemptive queue priority heterogeneous traffic

Abstract doi.org/10.14569/IJACSA.2020.0111023 PDF

24

Hybridized Machine Learning based Fractal Analysis Techniques for Breast Cancer Classification

Author 1: Munmun Swain Author 2: Sumitra Kisan Author 3: Jyotir Moy Chatterjee Author 4: Mahadevan Supramaniam Author 5: Sachi Nandan Mohanty Author 6: NZ Jhanjhi Author 7: Azween Abdullah

The usefulness of Fractal Analysis (FA) is not limited to a particular area. It is applied in variety of fields and has shown its efficiency towards irregular objects. Fractal dimension is the best measure of the roughness for natural elements and hence, it can be treated as a feature of… Read full abstract & cite →

Mammography feature extraction fractal dimension box-counting method classification support vector machine

Abstract doi.org/10.14569/IJACSA.2020.0111024 PDF

25

Detection of Anomalous In-Memory Process based on DLL Sequence

Author 1: Binayak Panda Author 2: Satya Narayan Tripathy

The use of Computer systems to keep track of day to day activities for single-user systems as well as the implementation of business logic in enterprises is the demand of the hour. As it plays a vital role in making available information on one click as well as impacts improvement… Read full abstract & cite →

Anomalous In-memory Process dynamic analysis DLL hijacking DLL injection TF-IDF multinomial logistic regression

Abstract doi.org/10.14569/IJACSA.2020.0111025 PDF

26

Implementation of Random Direction-3D Mobility Model to Achieve Better QoS Support in MANET

Author 1: Munsifa Firdaus Khan Author 2: Indrani Das

Mobile Ad hoc Networks (MANETs) provides changing network topology due to the mobility of nodes. The complexity of the network increases because of dynamic topology of nodes. In a MANET, nodes communicate with each other without the help of any infrastructure. Therefore, achieving QoS in MANET becomes a little difficult… Read full abstract & cite →

Ad Hoc On Demand Distance Vector (AODV) random direction mobility model Quality-of-Service (QoS) Mobile Ad Hoc Networks (MANETs) NS-3

Abstract doi.org/10.14569/IJACSA.2020.0111026 PDF

27

An Empirical Analysis of BERT Embedding for Automated Essay Scoring

Author 1: Majdi Beseiso Author 2: Saleh Alzahrani

Automated Essay Scoring (AES) is one of the most challenging problems in Natural Language Processing (NLP). The significant challenges include the length of the essay, the presence of spelling mistakes affecting the quality of the essay and representing essay in terms of relevant features for the efficient scoring of essays… Read full abstract & cite →

Automated Essay Scoring (AES) BERT deep learning neural network language model

Abstract doi.org/10.14569/IJACSA.2020.0111027 PDF

28

Tracking Coronavirus Pandemic Diseases using Social Media: A Machine Learning Approach

Author 1: Nuha Noha Fakhry Author 2: Evan Asfoura Author 3: Gamal Kassam

With the increasing use of social media, a growing need exists for systems that can extract useful information from huge amounts of data. While, People post personal data interactively, an outbreak of an epidemic event can be noticed from these data. The issue of detecting the route of pandemic diseases… Read full abstract & cite →

Pandemic diseases outbreak detection social media sentiment analysis machine learning text mining geo-located data CRISP-DM

Abstract doi.org/10.14569/IJACSA.2020.0111028 PDF

29

Modified K-nearest Neighbor Algorithm with Variant K Values

Author 1: Kalyani C. Waghmare Author 2: Balwant A. Sonkamble

In Machine Learning K-nearest Neighbor is a renowned supervised learning method. The traditional KNN has the unlike requirement of specifying ‘K’ value in advance for all test samples. The earlier solutions of predicting ‘K’ values are mainly focused on finding optimal-k-values for all samples. The time complexity to obtain the… Read full abstract & cite →

Classification K-nearest Neighbor (KNN) classification algorithm Indian Classical Music Performance measures Heap data structure

Abstract doi.org/10.14569/IJACSA.2020.0111029 PDF

30

Binary Operating Antenna Array Elements by using Hausdorff and Euclidean Metric Distance

Author 1: Elson Agastra Author 2: Julian Imami Author 3: Olimpjon Shurdi

In this paper, the linear antenna array is designed by the usage of Woodward–Lawson method. The design procedure fits antenna array radiation pattern to a predefined/required radiation mask. In this study will be investigated the possibility of powering off some antenna elements without modifying the behavior and power ratio of… Read full abstract & cite →

Antenna array Hausdorff distance Woodward-Lawson

Abstract doi.org/10.14569/IJACSA.2020.0111030 PDF

31

Environmental Sustainability Coding Techniques for Cloud Computing

Author 1: Shakeel Ahmed

Cloud Computing (CC) has recently received substantial attention, as a promising approach for providing various information and communication technologies (ICT) services. Running enormously complicated and sophisticated software on the cloud requires more energy and most of the energy is wasted. It is required to explore opportunities to reduce emission of… Read full abstract & cite →

Environmental sustainability cloud computing energy-efficient software development life cycle parameterized development green computing

Abstract doi.org/10.14569/IJACSA.2020.0111031 PDF

32

High Priority Requests in Grid Environment

Author 1: Tariq Alwadan Author 2: Salah Alghyaline Author 3: Azmi Alazzam

Grid computing is an enhanced technology consisting of a pool of connected machines that belong to multiple organizations in different sites to form a distributed system. This system can be used to deal with complex scientific or business problems. It is developed to help share distributed resources that may be… Read full abstract & cite →

Grid computing multi-agents system grid broker static priority mechanism distributed resources

Abstract doi.org/10.14569/IJACSA.2020.0111032 PDF

33

A Hybrid Approach for Single Channel Speech Enhancement using Deep Neural Network and Harmonic Regeneration Noise Reduction

Author 1: Norezmi Jamal Author 2: N. Fuad Author 3: MNAH. Shaabani

This paper presents a hybrid approach for single channel speech enhancement using deep neural network (DNN) and harmonic regeneration noise reduction (HRNR). The DNN was used as a supervised algorithm to predict new target mask such as constrained Wiener Filter (cWF) target mask from noisy mixture signal that was transformed… Read full abstract & cite →

Speech enhancement single channel microphone deep neural network constrained Wiener Filter post-filtering

Abstract doi.org/10.14569/IJACSA.2020.0111033 PDF

34

Improving the Performance of Various Privacy Preserving Databases using Hybrid Geometric Data Perturbation Classification Model

Author 1: Sk. Mohammed Gouse Author 2: G.Krishna Mohan

As the size of the privacy preserving databases is increasing, it is difficult to improve the privacy and accuracy of these databases due to dimensionality and runtime. However, most of the traditional privacy preserving models are independent of privacy and runtime. Also, it is essential to preserve the privacy of… Read full abstract & cite →

Privacy preserving databases machine learning perturbation high dimensionality data filtering data classification

Abstract doi.org/10.14569/IJACSA.2020.0111034 PDF

35

High-Level Description of Robot Architecture

Author 1: Sabah Al-Fedaghi Author 2: Manar AlSaraf

Architectural Description (AD) is the backbone that facilitates the implementation and validation of robotic systems. In general, current high-level ADs reflect great variation and lead to various difficulties, including mixing ADs with implementation issues. They lack the qualities of being systematic and coherent, as well as lacking technical-related forms (e.g… Read full abstract & cite →

Conceptual model robot architectural specification robot behavior static diagram dynamism

Abstract doi.org/10.14569/IJACSA.2020.0111035 PDF

36

Enhancing Acceptance Test Driven Development Model with Combinatorial Logic

Author 1: Subhash Tatale Author 2: V. Chandra Prakash

In the Software Development Life Cycle, modelling plays a most significant role in designing and developing software efficiently. Acceptance Test-Driven Development (ATDD) is a powerful agile software development model where a customer provides user acceptance test suits as a part of Software Requirements Specifications. A design has to develop a… Read full abstract & cite →

Software requirements specification software development life cycle acceptance test driven development combinatorial logic combinatorial testing user acceptance tests railway reservation system

Abstract doi.org/10.14569/IJACSA.2020.0111036 PDF

37

A Comprehensive Study of Blockchain Services: Future of Cryptography

Author 1: Sathya AR Author 2: Barnali Gupta Banik

Cryptography is the process of protecting information from intruders and letting only the intended users’ access and understand it. It is a technique originated in 2000 BC where simple methods were used in earlier times to keep the information in a way that is not understandable by everyone. Only the… Read full abstract & cite →

Cryptography cryptocurrencies blockchain bitcoin

Abstract doi.org/10.14569/IJACSA.2020.0111037 PDF

38

Prototyping with Raspberry Pi in Healthcare Domain

Author 1: Hari Kishan Kondaveeti Author 2: Sruti Raman Author 3: Praveen Raj

The objective of this paper is to conduct a bibliometric study on the use of Raspberry Pi in the medical field. In the past several decades healthcare advancements have played a major role and Raspberry Pi being the charm with its extensive features and low cost, it is of interest… Read full abstract & cite →

Information extraction bibliometric study prototype Raspberry Pi healthcare

Abstract doi.org/10.14569/IJACSA.2020.0111038 PDF

39

Effect of Route Length and Signal Attenuation on Energy Consumption in V2V Communication

Author 1: Mahmoud Zaki Iskandarani

Simulation of Vehicle-to Vehicle (V2V) communication and connectivity is carried out. The main objective of the carried out V2Vcommunication simulation is to study the effect of route length, number of hops per route, attenuation related parameter and message size on energy consumption of transmitted bits per sent message. Mathematical modeling… Read full abstract & cite →

Intelligent transportation systems routing connected vehicles energy V2V multipath fading BSM

Abstract doi.org/10.14569/IJACSA.2020.0111039 PDF

40

Handwritten Numeric Image Classification with Quantum Neural Network using Quantum Computer Circuit Simulator

Author 1: Achmad Benny Mutiara Author 2: Muhammad Amir Slamet Author 3: Rina Refianti Author 4: Yusuf Sutanto

Quantum Computer is a computer machine using principles of quantum mechanics in doing its computation. The Quantum Computer Machine itself is still in the development stage and has not been deployed yet, however TensorFlow provides a library for hybrid quantum-classical machine learning called TensorFlow Quantum (TFQ). One of the quantum… Read full abstract & cite →

Image classification quantum neural network quantum computer TensorFlow

Abstract doi.org/10.14569/IJACSA.2020.0111040 PDF

41

A Novel Approach to Mammogram Classification using Spatio-Temporal and Texture Feature Extraction using Dictionary based Sparse Representation Classifier

Author 1: Vaishali D. Shinde Author 2: B. Thirumala Rao

Cancer is a chronic disease and increasing rapidly worldwide. Breast cancer is one of the most crucial cancer which affects the women health and causes death of the women. In order to predict the breast cancer, mammogram is considered as a promising technique which helps to identify the early stages… Read full abstract & cite →

Mammogram segmentation classification feature extraction

Abstract doi.org/10.14569/IJACSA.2020.0111041 PDF

42

A Hybrid POS Tagger for Khasi, an Under Resourced Language

Author 1: Medari Janai Tham

Khasi is an Austro-Asiatic language spoken mainly in the state of Meghalaya, India, and can be considered as an under resourced and under studied language from the natural language processing perspective. Part-of-speech (POS) tagging is one of the major initial requirements in any natural language processing tasks where part of… Read full abstract & cite →

Khasi corpus BIS tagset Khasi POS tagger conditional random fields (CRF) Hidden Markov Model (HMM)

Abstract doi.org/10.14569/IJACSA.2020.0111042 PDF

43

Robust Drowsiness Detection for Vehicle Driver using Deep Convolutional Neural Network

Author 1: A F M Saifuddin Saif Author 2: Zainal Rasyid Mahayuddin

Drowsiness detection during driving is still an unsolved research problem which needs to be addressed to reduce road accidents. Researchers have been trying to solve this problem using various methods where most of these solution lacks behind in accuracy, real-time performance, costly, complex to build, and has a higher computational… Read full abstract & cite →

Drowsiness detection convolutional neural network face region extraction pupil detection

Abstract doi.org/10.14569/IJACSA.2020.0111043 PDF

44

Towards a Multi-Agent based Network Intrusion Detection System for a Fleet of Drones

Author 1: Said OUIAZZANE Author 2: Fatimazahra BARRAMOU Author 3: Malika ADDOU

The objective of this research work is to propose a new model of intrusion detection system for a fleet of UAVs deployed with an ad hoc communication architecture. The security of a drone fleet is rarely addressed by the scientific community, and most research has focused on routing protocols and… Read full abstract & cite →

Fleet of drones drone intrusion detection multi agent system security intrusion detection system autonomy distribution UAV unmanned aerial vehicle unknown attacks known attacks

Abstract doi.org/10.14569/IJACSA.2020.0111044 PDF

45

MSTD: Moroccan Sentiment Twitter Dataset

Author 1: Soukaina MIHI Author 2: Brahim AIT BEN ALI Author 3: Ismail EL BAZI Author 4: Sara AREZKI Author 5: Nabil LAACHFOUBI

With the proliferation of social media and Internet accessibility, a massive amount of data has been produced. In most cases, the textual data available through the web comes mainly from people expressing their views in informal words. The Arabic language is one of the hardest Semitic languages to deal with… Read full abstract & cite →

Sentiment analysis Moroccan dialect machine-learning stemming lemmatization feature extraction

Abstract doi.org/10.14569/IJACSA.2020.0111045 PDF

46

Load Balancing Problem on Hyper Hexa Cell Interconnection Network

Author 1: Aryaf Al-Adwan Author 2: Basel A. Mahafzah Author 3: Anaam Aladwan

Dynamic load balancing techniques prevents computer nodes from overloading unevenly while leaving other idle. It is considered as one of the most challenging topics in parallel computing. Moreover, it is essential for increasing the efficiency of highly parallel systems especially in solving multitask problems with unpredictable load estimates. Particularly, over… Read full abstract & cite →

Parallel computing load balancing Hyper Hexa-Cell interconnection network Dimension Exchange Method (DEM)

Abstract doi.org/10.14569/IJACSA.2020.0111046 PDF

47

Attribute-based Encryption for Fine-Grained Access Control on Secure Hybrid Clouds

Author 1: Sridhar Reddy Vulapula Author 2: Srinivas Malladi

In the present scenario, the proliferation of cloud computing services allows hospitals and institutions to move their healthcare data to the cloud, enabling global access to data and on-demand high-quality services at a lower cost. Healthcare data has sensitive attributes to be shielded from leakage due to inference attacks by… Read full abstract & cite →

Secure hybrid cloud geometric data perturbation efficiency fine-grained access control attribute-based encryption

Abstract doi.org/10.14569/IJACSA.2020.0111047 PDF

48

Gabor Capsule Network for Plant Disease Detection

Author 1: Patrick Mensah Kwabena Author 2: Benjamin Asubam Weyori Author 3: Ayidzoe Abra Mighty

Crop diseases contribute significantly to food insecurity, malnutrition, and poverty in Africa where the majority of the population is into Agriculture. Manual plant disease recognition methods are widespread but limited, ineffective, costly, and time-consuming making the need to search for automatic and efficient methods of recognition more crucial. Machine learning… Read full abstract & cite →

Convolutional neural networks capsule network gabor filters crop diseases machine learning

Abstract doi.org/10.14569/IJACSA.2020.0111048 PDF

49

Comparison Performance of Lymphocyte Classification for Various Datasets using Deep Learning

Author 1: Syadia Nabilah Mohd Safuan Author 2: Mohd Razali Md Tomari Author 3: Wan Nurshazwani Wan Zakaria Author 4: Nor Surayahani Suriani

Analyzing and classifying five types of Lymphocyte White Blood Cell (WBC) is important to monitor the lack or excessive amount of cell in human body. These harmful amount of cell must be detected early for the early treatment can be run to the patient. However, the process may be tedious… Read full abstract & cite →

Convolutional neural network Google colab training accuracy validation accuracy white blood cell

Abstract doi.org/10.14569/IJACSA.2020.0111049 PDF

50

Supervised Hyperspectral Image Classification using SVM and Linear Discriminant Analysis

Author 1: Shambulinga M Author 2: G. Sadashivappa

Hyperspectral images are used to recognize and determine the objects on the earth’s surface. This image contains more number of spectral bands and classifying the image becoming a difficult task. Problems of higher number of spectral dimensions are addressed through feature extraction and reduction. However, accuracy and computational time are… Read full abstract & cite →

Linear discriminant analysis support vector machine guided image filtering bilateral filter

Abstract doi.org/10.14569/IJACSA.2020.0111050 PDF

51

Manar: An Arabic Game-based Application Aimed for Teaching Cybersecurity using Image Processing

Author 1: Afnan Alsadhan Author 2: Asma Alotaibi Author 3: Lulu Altamran Author 4: Majd Almalki Author 5: Moneera Alfulaij Author 6: Tarfa Almoneef

People use the Internet for various activities, including exchanging money, playing games, and shopping. However, this powerful network came at a cost: the features that provide the Internet with these capabilities are also what make it vulnerable. The need for cybersecurity tools and practices was recognized, especially for children, since… Read full abstract & cite →

Cybersecurity image processing social engineering cryptography

Abstract doi.org/10.14569/IJACSA.2020.0111051 PDF

52

A Machine Learning Approach to Identifying Students at Risk of Dropout: A Case Study

Author 1: Roderick Lottering Author 2: Robert Hans Author 3: Manoj Lall

The increase in students’ dropout rate is a huge concern for institutions of higher learning. In this article, classification techniques are applied to determine students “at-risk” of dropping out of their registered qualifications. Being able to identify such students timeously will be beneficial to both the students and the institutions… Read full abstract & cite →

EDM student dropout binary classification ensemble method KDD

Abstract doi.org/10.14569/IJACSA.2020.0111052 PDF

53

Customized BERT with Convolution Model : A New Heuristic Enabled Encoder for Twitter Sentiment Analysis

Author 1: Fatima-ezzahra LAGRARI Author 2: Youssfi ELKETTANI

The Twitter messaging service has turned out to be a domain for news consumers and patrons to convey their sentiments. Capturing these emotions or sentiments in an accurate manner remains a major challenge for analysts. Moreover, the Twitter data include both spam and authentic contents that often affects accurate sentiment… Read full abstract & cite →

Twitter data sentiment analysis tokenization optimized BERT Lion Algorithm

Abstract doi.org/10.14569/IJACSA.2020.0111053 PDF

54

Empirical Oversampling Threshold Strategy for Machine Learning Performance Optimisation in Insurance Fraud Detection

Author 1: Bouzgarne Itri Author 2: Youssfi Mohamed Author 3: Bouattane Omar Author 4: Qbadou Mohamed

Insurance fraud is one of the most practiced frauds in the sectors of the economy. Faced with increasingly imaginative underwriters to create fraud scenarios and the emergence of organized crime groups, the fraud detection process based on artificial intelligence remains one of the most effective approaches. Real world datasets are… Read full abstract & cite →

Machine learning oversampling SMOTE insurance fraud

Abstract doi.org/10.14569/IJACSA.2020.0111054 PDF

55

Design of an Electro-Stimulator Controlled by Bluetooth for the Improvement of Muscular Atrophy

Author 1: Paul Portilla Achata Author 2: Raúl Sulla Torres Author 3: Juan Carlos Copa Pineda Author 4: Agueda Munoz del Carpio Toia Author 5: Jose Sulla-Torres

Muscle stimulation consists of a muscle's work when it is in constant exercise or contraction. This article presents an electro-stimulator design that generates electrical pulses in muscle cells through two electrodes positioned in an area of the body, causing the response of said cells to improve muscle atrophy. The steps… Read full abstract & cite →

Design electro-stimulator microcontroller electric pulses muscular atrophy

Abstract doi.org/10.14569/IJACSA.2020.0111055 PDF

56

Dual Annular Ring Coupled Stacked Psi Shape Patch Antenna for Wireless Applications

Author 1: K. Mahesh Babu Author 2: T.V. Rama Krishna

The paper aims to design and analyze an annular ring coupled stacked Psi shaped patch antenna with coplanar waveguide (CPW) feed technique operating for dual band frequency applications. The proposed model comprises of stacked Psi shapes resonating for lower order frequency. The second order resonating band was obtained through capacitively… Read full abstract & cite →

Annular ring stacked psi shape WLAN ISM band

Abstract doi.org/10.14569/IJACSA.2020.0111056 PDF

57

Secure Communication across the Internet by Encrypting the Data using Cryptography and Image Steganography

Author 1: P Rajesh Author 2: Mansoor Alam Author 3: Mansour Tahernezhadi Author 4: T Ravi Kumar Author 5: Vikram Phaneendra Rajesh

Sharing the information has become a facile task nowadays just like one-tap which can take the information to any component of the world. This whole thing transpired over the evolution of the cyber world, which avails to stay connected with the entire world. Due to the wide-spread utilization of the… Read full abstract & cite →

Cryptography image steganography least significant bits secure communication Huffman coding data encryption data compression

Abstract doi.org/10.14569/IJACSA.2020.0111057 PDF

58

White Blood Cells Detection using YOLOv3 with CNN Feature Extraction Models

Author 1: Nurasyeera Rohaziat Author 2: Mohd Razali Md Tomari Author 3: Wan Nurshazwani Wan Zakaria Author 4: Nurmiza Othman

There are several types of blood cancer. One of them is Leukaemia. This is due to leukocyte or white blood cell (WBCs) production problem in the bone marrow. Detection at earlier stage is important so that the patient is able to get a proper treatment. The conventional detection and blood… Read full abstract & cite →

Alexnet darknet19 darknet53 detection VGG16 white blood cells YOLO

Abstract doi.org/10.14569/IJACSA.2020.0111058 PDF

59

A Novel Solution for Distributed Database Problems

Author 1: Bishoy Sameeh Matta Sawiris Author 2: Manal A. Abdel-Fattah

Distributed Databases Systems (DDBS) are a set of logically networked computer databases, managed by different sites, locations and accessible to the user as a single database. DDBS is an emerging technology that is useful in data storage and retrieval purposes. Still, there are some problems and issues that degrade the… Read full abstract & cite →

Distributed database database challenges deep learning fragmentation blockchain security

Abstract doi.org/10.14569/IJACSA.2020.0111059 PDF

60

Secure Software Defined Networks Controller Storage using Intel Software Guard Extensions

Author 1: Qasmaoui Youssef Author 2: Maleh Yassine Author 3: Abdelkrim Haqiq

The SDN controller is the core of the software-defined network (SDN), which provides important network operations that needs to be protected from all type of threats. Many researches have been focusing on different layers of security regarding the SDN controller such as Anti-DDOS system or enforcement of TLS connection between… Read full abstract & cite →

Software defined networks software guard extensions storage integrity confidentiality

Abstract doi.org/10.14569/IJACSA.2020.0111060 PDF

61

Dynamics of Organizational Change

Author 1: Maximo Flores-Cabezas Author 2: Desiree Flores-Moya Author 3: Brian Meneses-Claudio

In this research, the evolution of change in an organization, due to continuous changes in the market, is disclosed in a qualitative and quantitative way. The changes developed in the organizational structure were aimed at the search for a flexible, dynamic and agile organization, which would allow adapting to the… Read full abstract & cite →

System dynamics diagram vertical organization process organization focused organization modular organization flexible organization

Abstract doi.org/10.14569/IJACSA.2020.0111061 PDF

62

Impact of Change in Business IT Alignment: Evaluation with CBITA Tool

Author 1: Imgharene Kawtar Author 2: Doumi Karim Author 3: Baina Salah

Organizations introduce changes to adapt to an agile context in a turbulent environment. These change often have an impact on business and information technology. In most cases, the change impacts organizational elements that make the adaptation not well defined, leaving out elements that can lead to misalignment. The change is… Read full abstract & cite →

Agility business IT alignment change project

Abstract doi.org/10.14569/IJACSA.2020.0111062 PDF

63

Enhancing VoIP BW Utilization over ITTP Protocol

Author 1: AbdelRahman H. Hussein Author 2: Mahran Al-Zyoud Author 3: Kholoud Nairoukh Author 4: Sumaya N. Al-Khatib

The revolution of Voice over Internet Protocol (VoIP) technology has propagated everywhere and replaced the conventional telecommunication technology (e.g. landline). Nevertheless, several enhancements need to be done on VoIP technology to improve its performance. One of the main issues is to improve the VoIP network bandwidth (BW) utilization. VoIP packet… Read full abstract & cite →

Voice over IP (VoIP) VoIP protocols Internet Telephony Transport Protocol (ITTP) payload compression bandwidth utilization

Abstract doi.org/10.14569/IJACSA.2020.0111063 PDF

64

High-Security Image Steganography Technique using XNOR Operation and Fibonacci Algorithm

Author 1: Ali Abdulzahra Almayyahi Author 2: Rossilawati Sulaiman Author 3: Faizan Qamar Author 4: Abdulwahhab Essa Hamzah

Since the number of internet users is increasing and sensitive information is exchanging continuously, data security has become a problem. Image steganography is one of the ways to exchange secret data securely using images. However, several issues need to be mitigated, especially in the imperceptibility (security) aspect, which is the… Read full abstract & cite →

Image steganography Huffman algorithm XNOR operation Fibonacci algorithm LSB PSNR

Abstract doi.org/10.14569/IJACSA.2020.0111064 PDF

65

Very Deep Neural Networks for Extracting MITE Families Features and Classifying them based on DNA Scalograms

Author 1: Mael SALAH JRAD Author 2: Afef ELLOUMI OUESLATI Author 3: Zied LACHIRI

DNA sequencing has recently generated a very large volume of data in digital format. These data can be compressed, processed and classified only by using automatic tools which have been employed in biological experiments. In this work, we are interested in the classification of particular regions in C. Elegans Genome… Read full abstract & cite →

DNA scalograms genomic signature classification deep learning transfer learning VGGNET accuracy

Abstract doi.org/10.14569/IJACSA.2020.0111065 PDF

66

The Prediction of Outpatient No-Show Visits by using Deep Neural Network from Large Data

Author 1: Riyad Alshammari Author 2: Tahani Daghistani Author 3: Abdulwahhab Alshammari

Patients’ no-show is one of the leading causes of increasing financial burden for healthcare organizations and is an indicator of healthcare systems' quality and performance. Patients' no-show affects healthcare delivery, workflow, and resource planning. The study aims to develop a prediction model predict no-show visits using a machine learning approach… Read full abstract & cite →

No-show outpatients machine learning prediction model introduction

Abstract doi.org/10.14569/IJACSA.2020.0111066 PDF

67

Virtual Simulation for Entertainment using Genetic Information

Author 1: Jin Woo Kim Author 2: Hun Lim Author 3: Taeho You Author 4: Mee Young Sung

The genetic information has been researched to predict the disease and to discover the clue of biological causes, especially in the medical field. However, based on the reliability of genetic information, it also gives a powerful realistic experience with VR devices. In this paper, we developed a dating simulation game… Read full abstract & cite →

Virtual simulation entertainment genetic information DeoxyriboNucleic Acid (DNA) matching celebrity favorability

Abstract doi.org/10.14569/IJACSA.2020.0111067 PDF

68

Level of Depression in Positive Patients for COVID-19 in the Puente Piedra District of North Lima, 2020

Author 1: Rosa Perez-Siguas Author 2: Eduardo Matta-Solis Author 3: Hernan Matta-Solis Author 4: Anika Remuzgo-Artezano Author 5: Lourdes Matta-Zamudio Author 6: Melissa Yauri-Machaca

Depression in the positive patient for COVID-19 is one of the emotional confrontations that must endure during isolation and quarantine, therefore, the objective of the research study is to determine the Level of Depression in positive patients for COVID-19 in the district of Puente Piedra in North Lima, 2020. This… Read full abstract & cite →

Depression coronavirus patients home care

Abstract doi.org/10.14569/IJACSA.2020.0111068 PDF

69

Blockchain and Internet of Things for Business Process Management: Theory, Challenges, and Key Success Factors

Author 1: Mabrook S. Al-Rakhami Author 2: Majed Al-Mashari

The combination of business process management (BPM) and emerging technologies is a logical step. The evolving number of advanced technologies shows that contributions are with a high value for business processes. From a BPM point of view, value creation from the modern technologies such as Internet of things and Blockchain… Read full abstract & cite →

Business process management BPM Internet of things IoT blockchain technology

Abstract doi.org/10.14569/IJACSA.2020.0111069 PDF

70

A Trust-Based Collaborative Filtering Approach to Design Recommender Systems

Author 1: Vineet K. Sejwal Author 2: Muhammad Abulaish

Collaborative Filtering (CF) is one of the most fre-quently used recommendation techniques to design recommender systems that improve accuracy in terms of recommendation, coverage, and rating prediction. Although CF is a well-established and popular algorithm, it suffers with issues like black-box recommendation, data sparsity, cold-start, and limited content problems that… Read full abstract & cite →

Recommender system collaborative filtering cold-start trust rating prediction

Abstract doi.org/10.14569/IJACSA.2020.0111070 PDF

71

A Game-Based Learning Approach to Improve Students’ Spelling in Thai

Author 1: Krittiya Saksrisathaporn

The problem of misspelled Thai words written in social media is increasing rapidly by youth in Thailand. To decrease the number of misspelled Thai words and improve the learning achievement for Thai youth, a first­person 3D mobile game was developed. The game is run on an Android smartphone applying a… Read full abstract & cite →

Game for learning game­based learning mobile game paired sample t­test Thai misspelled words

Abstract doi.org/10.14569/IJACSA.2020.0111071 PDF

72

Physical Parameter Estimation of Linear Voltage Regulators using Model-based Approach

Author 1: Ng Len Luet Author 2: Mohd Hairi Mohd Zaman Author 3: Asraf Mohamed Moubark Author 4: M Marzuki Mustafa

Electronic systems are becoming increasingly so-phisticated due to the emergence of advanced technology, which can produce robust integrated circuits by reducing the dimensions of transistors to just a few nanometers. Furthermore, most elec-tronic systems nowadays are in the form of system-on-chip and thus require stable voltage specifications. One of the… Read full abstract & cite →

Linear voltage regulator stability capacitor equivalent series resistance physical parameter model-based approach

Abstract doi.org/10.14569/IJACSA.2020.0111072 PDF

73

Artificial Bee Colony Algorithm Optimization for Video Summarization on VSUMM Dataset

Author 1: Vinsent Paramanantham Author 2: S. SureshKumar

This paper attempts to prove that the Artificial Bee Colony algorithm can be used as an optimization algorithm in sparse-land setup to solve Video Summarization. The critical challenge in doing quasi(real-time) video summarization is still time-consuming with ANN-based methods, as these methods require training time. By doing video summarization in… Read full abstract & cite →

Artificial Bee Colony optimization video summarization online video highlighting sparse-land anomaly detection image histogram HOG HOOF canny edge

Abstract doi.org/10.14569/IJACSA.2020.0111073 PDF

74

Continuous Human Activity Recognition in Logistics from Inertial Sensor Data using Temporal Convolutions in CNN

Author 1: Abbas Shah Syed Author 2: Zafi Sherhan Syed Author 3: Areez Khalil Memon

Human activity recognition has been an important task for the research community. With the introduction of deep learning architectures, the performance of activity recognition algorithms has improved significantly. However, most of the research in this area has focused on activity recognition for health/assisted living with other applications being given less… Read full abstract & cite →

Convolutional Neural Networks deep learning Human Activity Recognition (HAR) inertial sensors LARa dataset

Abstract doi.org/10.14569/IJACSA.2020.0111074 PDF

75

Design of Multi-View Graph Embedding for Features Selection and Remotely Sensing Signal Classification

Author 1: Abdullah Alhumaidi Alotaibi Author 2: Sattam Alotaibi

Now-a-days, signal processing remains an intensive challenging area of research. In fact, various strategies have been suggested to address semi-supervised, feature selection and unlabeled samples challenges. The most frequent achievement was dedicated to exploit a single kind of feature/view from the original data. Recently, advanced techniques aimed to explore signals… Read full abstract & cite →

Signal processing remote sensing images features selection graph embedding unlabeled samples

Abstract doi.org/10.14569/IJACSA.2020.0111075 PDF

76

How Images Defects in Street Scenes Affect the Performance of Semantic Segmentation Algorithms

Author 1: Hoda Imam Author 2: Bassem A. Abdullah Author 3: Hossam E. Abd El Munim

Semantic segmentation methods are used in au-tonomous car development to label pixels of road images (e.g. street, building, pedestrian, car, and so on). DeepLabv3+ and PSPNet are two of the best performance semantic segmentation methods according to Cityscapes benchmark. Although these methods achieved a very high performance with clear road… Read full abstract & cite →

Semantic segmentation deep learning cityscapes DeepLabv3+ PSPNet

Abstract doi.org/10.14569/IJACSA.2020.0111076 PDF

77

Emotion Analysis of Arabic Tweets during COVID-19 Pandemic in Saudi Arabia

Author 1: Huda Alhazmi Author 2: Manal Alharbi

Social media has emerged as an effective platform to investigate people’s opinion and feeling towards crisis situations. Along with Coronavirus crisis, range of different emotions reveal, including anger, sadness, fear, trust, and anticipation. In this paper, we investigate public’s emotional responses associated with this pandemic using Twitter as platform to… Read full abstract & cite →

Emotion analysis Arabic tweets COVID-19 Twitter Lexicon-based

Abstract doi.org/10.14569/IJACSA.2020.0111077 PDF

78

HPSOGWO: A Hybrid Algorithm for Scientific Workflow Scheduling in Cloud Computing

Author 1: Neeraj Arora Author 2: Rohitash Kumar Banyal

Virtualization is one of the key features of cloud computing, where the physical machines are virtually divided into several virtual machines in the cloud. The user’s tasks are run on these virtual resources as per the requirements. When the user requests the services to the cloud, the user’s tasks are… Read full abstract & cite →

Cloud computing hybrid algorithms metaheuristic algorithms optimization workflow scheduling

Abstract doi.org/10.14569/IJACSA.2020.0111078 PDF

79

Evaluating the Effect of Multiple Filters in Automatic Language Identification without Lexical Knowledge

Author 1: Guan-Lip Soon Author 2: Nur-Hana Samsudin Author 3: Dennis Lim

The classical language identification architecture would require a collection of languages independent text and speech information for training by the system before it can identify the languages correctly. This paper also address language identification framework however with data has been downsized considerably from general language identification architecture. The system goal… Read full abstract & cite →

Language identification speech recognition speech filters minimal language data minimal lexical information optimal performance

Abstract doi.org/10.14569/IJACSA.2020.0111079 PDF

80

Classification of Common and Uncommon Tones by P300 Feature Extraction and Identification of Accurate P300 Wave by Machine Learning Algorithms

Author 1: Rafia Akhter Author 2: Kehinde Lawal Author 3: Md. Tanvir Rahman Author 4: Shamim Ahmed Mazumder

An event-related potential (ERP) is a measure of brain response to a specific sensory, cognitive, or motor event. One common ERP technique used in cognition research is the oddball paradigm where the brain’s response to common and uncommon stimuli is compared. The neurologic response to the oddball paradigm produces a… Read full abstract & cite →

Event Related Potential (ERP) classification P300 machine-learning oddball-paradigm

Abstract doi.org/10.14569/IJACSA.2020.0111080 PDF

81

A Perception Centered Self-Driving System without HD Maps

Author 1: Alan Sun

Building a fully autonomous self-driving system has been discussed for more than 20 years yet remains unsolved. Previous systems have limited ability to scale. Their localization subsystem needs labor-intensive map recording for running in a new area, and the accuracy decreases after the changes occur in the environment. In this… Read full abstract & cite →

Self-driving lane lines detection traffic lines detection visual localization HD Maps

Abstract doi.org/10.14569/IJACSA.2020.0111081 PDF

82

Static vs. Dynamic Modelling of Acoustic Speech Features for Detection of Dementia

Author 1: Muhammad Shehram Shah Syed Author 2: Zafi Sherhan Syed Author 3: Elena Pirogova Author 4: Margaret Lech

Dementia is a chronic neurological disease that causes cognitive disabilities and significantly impacts daily ac-tivities of affected individuals. It is known that early detection of dementia can improve the quality of life of patients through a specialized care program. Recently, there has been a growing interest in speech-based screening of… Read full abstract & cite →

Dementia detection speech classification neural networks recurrent neural networks

Abstract doi.org/10.14569/IJACSA.2020.0111082 PDF

83

Multi-Objective Evolutionary Programming for Developing Recommender Systems based on Collaborative Filtering

Author 1: Edward Hinojosa-Cardenas Author 2: Edgar Sarmiento-Calisaya Author 3: Cesar A. Martinez-Salinas Author 4: Lehi Quincho-Mamani Author 5: Jair F. Huaman-Canqui

In the era of internet, several online platforms offer many items to users. Users could spend a lot of time to find (or not) some items they are interested, sometimes, they will probably not find the desired items. An effective strategy to overcome this problem is a recommender system, one… Read full abstract & cite →

Collaborative filtering clustering evolutionary programming multi-objective recommender systems

Abstract doi.org/10.14569/IJACSA.2020.0111083 PDF

84

Face Verification across Aging using Deep Learning with Histogram of Oriented Gradients

Author 1: Areeg Mohammed Osman Author 2: Serestina Viriri

One of the complex procedures which affect man’s face shape and texture is facial aging. These changes tend to deteriorate the efficacy of systems that automatically verify faces. It seems that CNN (also known as Convolutional Neural Networks) are thought to be one of the most common deep learning approaches… Read full abstract & cite →

Facial aging verify faces Convolutional Neural Networks (CNN) Histogram of Oriented Gradients (HOG)

Abstract doi.org/10.14569/IJACSA.2020.0111084 PDF

85

Multi-Target Energy Disaggregation using Convolutional Neural Networks

Author 1: Mohammed Ayub Author 2: El-Sayed M. El-Alfy

Non-Intrusive Load Monitoring (NILM) has be-come popular for smart meters in recent years due to its low cost installation and maintenance. However, it requires efficient and robust machine learning models to disaggregate the respective electrical appliance energy from the mains. This study investigated NILM in the form of direct point-to-point… Read full abstract & cite →

Energy disaggregation smart meters load monitoring ENERTALK dataset multi-target disaggregation multi-target regression NILM knowledge transfer

Abstract doi.org/10.14569/IJACSA.2020.0111085 PDF

86

Multi-Label Arabic Text Classification: An Overview

Author 1: Nawal Aljedani Author 2: Reem Alotaibi Author 3: Mounira Taileb

There is a massive growth of text documents on the web. This led to the increasing need for methods that can organize and classify electronic documents (instances) automati-cally. Multi-label classification task is widely used in real-world problems and it has been applied on di˙erent applications. It assigns multiple labels for… Read full abstract & cite →

Machine learning text classification multi-label classification Arabic natural language processing hierarchical classification Lexicon approach

Abstract doi.org/10.14569/IJACSA.2020.0111086 PDF

87

Census Estimation using Histogram Representation of 3D Surfaces: A Case Study Focusing on the Karak Region

Author 1: Subhieh El-Salhi Author 2: Safaa Al-Haj Saleh Author 3: Frans Coenen

National and regional infrastructure planning is founded on the use of many factors, of which population size can be argued to be the most fundamental. Population size is typically acquired through a census. However, manual census collection is an expensive and resource intensive process; especially in regions that are poorly… Read full abstract & cite →

Histogram representation Geographic Information System (GIS) population estimation 3D surface satellite images data mining classification technique Karak region

Abstract doi.org/10.14569/IJACSA.2020.0111087 PDF

88

Novel Control Scheme for Prosthetic Hands through Spatial Understanding

Author 1: Yunan He Author 2: Osamu Fukuda Author 3: Nobuhiko Yamaguchi Author 4: Hiroshi Okumura Author 5: Kohei Arai

A novel control scheme for prosthetic hands through spatial understanding is proposed. The proposed control scheme features an imaging sensor and an inertial measurement unit (IMU) sensor, which makes prosthetic hands capable of visual and motion sensing. The imaging sensor captures the scene where the user is willing to grasp… Read full abstract & cite →

Prosthetic hand vision-inertial fusion pose estimation motion tracking internal measurement unit augmented reality control scheme spatial features

Abstract doi.org/10.14569/IJACSA.2020.0111088 PDF

89

Deep Acoustic Embeddings for Identifying Parkinsonian Speech

Author 1: Zafi Sherhan Syed Author 2: Sajjad Ali Memon Author 3: Abdul Latif Memon

Parkinson’s disease is a serious neurological impair-ment which adversely affects the quality of life in individuals. While there currently does not exist any cure for this disease, it is well known that early diagnosis can be used to improve the quality of life of affected individuals through various types of… Read full abstract & cite →

Affective computing deep acoustic embeddings Parkinson’s disease social signal processing

Abstract doi.org/10.14569/IJACSA.2020.0111089 PDF