Asian Journal of Computer Science Engineering(AJCSE) http://ajcse.info/index.php/ajcse <p style="text-align: justify;">Asian Journal of Computer Science Engineering(AJCSE) is an international Referred and Peer Reviewed Online Journal with E-ISSN: 2581-3781 published by B.R. Nahata Smriti Sansthan for the enhancement of Computer Science Theory, Methods and Tools, Computer and Communications Networks and Systems, Computational Intelligence, Machine Learning and Data Analytics, Security in Computer Systems and Networks, Hardware Design discipline. </p> <p style="text-align: justify;">AJCSE is an Open Access Online Journal that publishes full-length papers, reviews and short communications exploring and to promote diverse and integrated areas of Computer Science Theory, Methods and Tools, Computer and Communications Networks and Systems, Computational Intelligence, Machine Learning and Data Analytics, Security in Computer Systems and Networks, Hardware Design and covers all engineering subject areas. AJCSE is steered by a distinguished Board of Editors. To maintain a high-quality journal, manuscripts that appear in the AJCSE Articles section have been subjected to a rigorous review process.</p> <p><strong>SUBJECT CATEGORY </strong></p> <p>Papers reporting original research and innovative applications from all parts of the world are welcome.</p> <p>Subject areas suitable for publication include, but are not limited to the following fields:</p> <p style="text-align: justify;">Computer Science Theory, Methods and Tools, Software engineering, algorithms and complexity, computational logic, formal methods, heuristics, mathematics and models of computation, programming languages and semantics.</p> <p><strong>Computer and Communications Networks and Systems</strong></p> <p>Network and distributed architectures and protocols, traffic engineering, resource management and Quality of Service, network monitoring and traffic measurements, wireless networks, personal and body area networks, vehicular networks, content and service-centric networking, multimedia communications and standards, energy efficient/green networks, opportunistic and cognitive networks.</p> <p><strong>Computational Intelligence, Machine Learning and Data Analytics</strong></p> <p>Human computer interaction, computational science, pattern recognition, computer vision, speech processing, machine intelligence and reasoning, web science, databases, information retrieval, visualisation, current applications domains, e.g. Healthcare and BioInformatics, and emerging application domains, e.g. big data.</p> <p><strong>Security in Computer Systems and Networks</strong></p> <p>Computer systems security, hardware and embedded systems security, security protocol design and analysis, cryptography and cryptanalysis, intrusion detection systems and techniques, user authentication techniques and systems.</p> <p><strong>Hardware Design</strong></p> <p>Computer architectures, parallel architectures, operating systems and signal processing. Some more related subject fields as follows:</p> <p> </p> <ul> <li>Artificial intelligence (AI)</li> <li>Cognitive science</li> <li>Computer engineering</li> <li>Computer information systems (CIS)</li> <li>Computer graphics</li> <li>Computer programming</li> <li>Computer networks</li> <li>Computer servicing technology</li> <li>Data processing</li> <li>Database systems</li> <li>Information science</li> <li>Knowledge engineering/expert systems</li> <li>Management information systems (MIS)</li> <li>Neural network</li> <li>Robotics</li> <li>Software engineering</li> <li>Systems analysis</li> <li>Telecommunications engineering</li> <li>Computer Science in Modeling</li> <li>Computer Architecture</li> <li>Computation and Language</li> <li>Computational Complexity</li> <li>Computational Engineering, Finance, and Science</li> <li>Computational Geometry</li> <li>Computer Science and Game Theory</li> <li>Computer Vision and Pattern Recognition</li> <li>Computers and Society</li> <li>Cryptography and Security</li> <li>Data and Web Mining</li> <li>Data Structures and Algorithms</li> <li>Databases</li> <li>Digital Libraries</li> <li>Discrete Mathematics</li> <li>Logic in Computer Science</li> <li>Mathematical Software</li> <li>Multimedia</li> <li>Networking and Internet Architecture</li> <li>Neural and Evolutionary Computing</li> <li>Numerical Analysis</li> <li>Operating Systems</li> <li>Performance</li> <li>Programming Languages</li> <li>Robotics</li> <li>Software Engineering</li> <li>Symbolic Computation</li> <li>Cover all Engineering related subject areas</li> </ul> <p> </p> <p><strong><u>JOURNAL PARTICULARS</u></strong></p> <table> <tbody> <tr> <td width="225"> <p>Title</p> </td> <td width="414"> <p>Asian Journal of Computer Science Engineering</p> </td> </tr> <tr> <td width="225"> <p>Frequency</p> </td> <td width="414"> <p>Quarterly</p> </td> </tr> <tr> <td width="225"> <p>E- ISSN</p> </td> <td width="414"> <p>2581-3781</p> </td> </tr> <tr> <td width="225"> <p>P-ISSN</p> </td> <td width="414"> <p>-</p> </td> </tr> <tr> <td width="225"> <p>DOI</p> </td> <td width="414"> <p><strong>https://doi.org/10.22377/ajcse</strong></p> </td> </tr> <tr> <td width="225"> <p>Publisher</p> </td> <td width="414"> <p><strong>Mr. Rahul Nahata</strong>, B.R. Nahata College of Pharmacy, Mhow-Neemuch Road, Mandsaur-458001, Madhya Pradesh</p> </td> </tr> <tr> <td width="225"> <p>Chief Editor</p> </td> <td width="414"> <p>Dr. M.A. Naidu</p> </td> </tr> <tr> <td width="225"> <p>Starting Year</p> </td> <td width="414"> <p>2016</p> </td> </tr> <tr> <td width="225"> <p>Subject</p> </td> <td width="414"> <p>Computer Science and Engineering subjects</p> </td> </tr> <tr> <td width="225"> <p>Language</p> </td> <td width="414"> <p>English Language</p> </td> </tr> <tr> <td width="225"> <p>Publication Format</p> </td> <td width="414"> <p>Online</p> </td> </tr> <tr> <td width="225"> <p>Email Id</p> </td> <td width="414"> <p>editorajcse@brnsspublicationhub.org,editor@brnsspublicationhub.org</p> </td> </tr> <tr> <td width="225"> <p>Mobile No.</p> </td> <td width="414"> <p>+91-7049737901</p> </td> </tr> <tr> <td width="225"> <p>Website</p> </td> <td width="414"> <p>www.ajcse.info</p> </td> </tr> <tr> <td width="225"> <p>Address</p> </td> <td width="414"> <p>B.R. Nahata Smriti Sansthan, BRNSS PUBLICATION HUB, B.R. Nahata College of Pharmacy, Mhow-Neemuch Road, Mandsaur-458001, Madhya Pradesh</p> </td> </tr> </tbody> </table> <p> </p> BRNSS Publication Hub en-US Asian Journal of Computer Science Engineering(AJCSE) 2581-3781 This is an Open Access article distributed under the terms of the Attribution-Noncommercial 4.0 International License [CC BY-NC 4.0], which requires that reusers give credit to the creator. It allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, for noncommercial purposes only. Prediction of Neurological Disorder using Classification Approach http://ajcse.info/index.php/ajcse/article/view/173 <p>Neurological disorder is the peculiar neurodegenerative diseases whose genuine reason for the explanation is as yet not clear to many peoples. The usage of classification methods in the neurological disorder can come about into proper characterization and prediction of subcortical structures of patients amid neurological disorder. Classification methods can be deployed to obtain suitable features from the brain morphometry data and calculate its performance in distinguishing between the health controls and patients diseased amid neurological disorder. This article deals with prediction of neurological disorder using classification approach. The results show that the KNN-MinMax classifier is exceptionally productive classifier for neurological disorder analysis which is around 6–8% more effective than the existing proposed methods.</p> Dr. Rajendra Gupta Copyright (c) 2022 https://creativecommons.org/licenses/by-nc/4.0 2021-12-15 2021-12-15 6 4 Computational Dual-system Imaging Processing Methods for Lumbar Spine Specimens with Medical Physics Applications http://ajcse.info/index.php/ajcse/article/view/174 <p>Based on previous studies, a comparative-series of improved imaging-computational for new/different lumbar cadaveric specimens was obtained with two systems—namely Matlab and GNU-Octave. Algorithmic methods for program patterns are improved and developed. Results comprise a biomedical study of each and every lumbar cadaveric specimen with contrasted evaluation for both computational systems. Imaging processing methods for resolution in improved vertebral contrast/facets/positioning, vertebral-anatomical parts separation, visualization of lumbar spines, and different 3D imaging options available, are explained and proven. In Clinical Medical Physics and Computational Anatomical Pathology, these advances associated to improve previous imaging contributions and statistical data are demonstrated. Results show sharply the usage of Matlab and GNU-Octave imaging processing, programming codes/patterns, and computer vision tools. Efficacious utility of these computational-software imaging methods, useful/appropriate for clear/detailed anatomical-clinical analysis, and comparisons among cadaveric specimens are illustrated along an imaging series. The anatomical dissection methods previously published obtain additional procedures/applications in lumbar vertebra study, statistics, and surgical tools manufacturing. Applications on Medical Physics, Biomedical Engineering, and Computational-Forensic Diagnosis are got from this dual cadaveric imaging systematic comparison. Matlab and GNU-Octave software 3D imaging methods utility are explained/extrapolated for other type of usages.</p> Francisco Casesnoves Copyright (c) 2022 https://creativecommons.org/licenses/by-nc/4.0 2021-12-15 2021-12-15 6 4 The Optimization-based Approaches for Task Scheduling to Enhance the Resource Utilization in Cloud Computing: A Review http://ajcse.info/index.php/ajcse/article/view/170 <p>At prior era, the task scheduling explorations utilized as a chief concern. The swarm-based optimization methods are introduced to advance the task scheduling in huge network. The optimization strategy for task scheduling examination is developed to obtain optimized solutions for achieving optimal task scheduling. Consequently, the optimal strategy has an auxiliary mechanism in examination by means of general task scheduling technique. In a while, obtaining the optimized schedulers by exploiting swarm-based techniques, the best task schedulers are unbiased during their substance loads by exchanging the supplementary loads among machines. In the course of the numerous databases, modeling, clustering, and task scheduling concerns may occur, and task scheduling has become one of the significant scrutinize concerns. This paper illustrated numerous existing task scheduling strategies such as fuzzy theory; optimization-related schemes, and machine learning and relationship amid strategies. Extensive assessment of vast variety of task scheduling and optimization schemes related on some effective features such as execution time, cost, energy, and overhead is notified in tabular arrangement. Task scheduling and numerous optimization methods have been described. This paper dissertates the assessment of numerous task scheduling mechanisms. Later than the examination of optimal task scheduling mechanisms, the assessment of methods motivates us to be familiar with the issues and concerns in task scheduling, and optimization methods.</p> Dr. Rajendra Gupta Copyright (c) 2022 https://creativecommons.org/licenses/by-nc/4.0 2021-12-15 2021-12-15 6 4 On Optimization of Manufacturing of Field-effect Transistors to Increase Their Integration Rate in the Framework of a Double-tail Dynamic Comparator http://ajcse.info/index.php/ajcse/article/view/171 <p>In this paper, we introduce an approach to increase integration rate of elements of a double-tail dynamic comparator. Framework the approach we consider a heterostructure with special configuration. Several specific areas of the heterostructure should be doped by diffusion or ion implantation. Annealing of dopant and/or radiation defects should be optimized.</p> E. L. Pankratov Copyright (c) 2022 https://creativecommons.org/licenses/by-nc/4.0 2021-12-15 2021-12-15 6 4 On increasing of the Density of Elements of Field-effect Heterotransistors Framework a Four-stage Distributed Amplifier: Accounting of Mismatch-induced Stress and Porosity of Materials http://ajcse.info/index.php/ajcse/article/view/172 <p>In this paper, we introduce an approach to increase the density of field-effect transistors framework a four-stage distributed amplifier. Framework the approach, we consider manufacturing the amplifier in heterostructure with specific configuration. Several required areas of the heterostructure should be doped by diffusion or ion implantation. After that, dopant and radiation defects should by annealed framework optimized scheme. We also consider an approach to decrease value of mismatch-induced stress in the considered heterostructure. We introduce an analytical approach to analyze mass and heat transport in heterostructures during manufacturing of integrated circuits with account mismatch-induced stress.</p> E. L. Pankratov Copyright (c) 2022 https://creativecommons.org/licenses/by-nc/4.0 2021-12-15 2021-12-15 6 4