Vol 10 Issue 4 October 2022-December 2022

Abstract: The method known as synthetic aperture radar (SAR) is utilized for creating high-resolution photographs stationary scenes. SAR is an imaging radar framed on a moving platform. In radar signal processing discovery of a weakly observable target is one of the most interesting area. In this survey, we will discuss about radar systems. Typical applications of radar include synthetic aperture radar, military application, airborne and spaceborne operation, speed control, air traffic control, and remote sensing. We also study about various imaging techniques that are used. Finally, potential applications of SAR imaging techniques.

Keywords: SAR, detection, observable target, imaging techniques, radar system.

Title: A Review on SAR Imaging Techniques for Low RCS Targets

Author: Sakshi Latthe, Sagar Mohite, Latish Tagde, P.G. Chilveri, Nargis Akhter, A. Arockia Bazil Raj

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

Vol. 10, Issue 4, October 2022 - December 2022

Page No: 69-85

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Website: www.researchpublish.com

Published Date: 27-December-2022

Abstract: In this research, we provide an overview of the concept of data analysis science, highlighting its importance and types. We also discuss the four primary types of data analysis and mentioned the data sources that companies rely on in the analysis process, as well as how to determine their quality. Additionally, we outline the stages that data undergoes during the analysis process before it becomes valuable information for the organization. We also mention various data types and finally how data analysis can contribute to education.

Keywords: data analysis science, organization, education.

Title: Research on data analysis

Author: Jumanah Hassan AlSanad

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

Vol. 10, Issue 4, October 2022 - December 2022

Page No: 58-68

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Website: www.researchpublish.com

Published Date: 26-December-2022

Abstract: In this paper, based on Jumarie type of Riemann-Liouville (R-L) fractional calculus, we evaluate some type of improper fractional integral.  A new multiplication of fractional analytic functions plays an important role in this paper. The main methods we used are integration by parts for fractional calculus and fractional L’Hospital’s rule. At the same time, some examples are given to illustrate our result. In fact, our result is a generalization of the classical calculus result.

Keywords: Jumarie type of R-L fractional calculus, improper fractional integral, new multiplication, fractional analytic functions, integration by parts, fractional L’Hospital’s rule.

Title: Some Type of Improper Fractional Integral

Author: Chii-Huei Yu

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

Vol. 10, Issue 4, October 2022 - December 2022

Page No: 53-57

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Website: www.researchpublish.com

Published Date: 23-December-2022

Abstract: Autism spectrum disorder is a neurodevelopmental disorder that affects a person's interaction, communication and learning skills. Although diagnosis of autism can be done at any age, its symptoms generally appear in the first two years of life and develop through time. Autism patients face different types of challenges such as difficulties with concentration, learning disabilities, mental health problems such as anxiety, depression, motor difficulties, sensory problems, and many others. Diagnosis of autism requires significant amount of time and cost. Earlier detection of autism can come to a great help by prescribing patients with proper medication at an early stage. It can prevent the patient's condition from deteriorating further and would help to reduce long term costs associated with delayed diagnosis. Thus, an efficient, accurate and easy screening test tool is very much required which would predict autism traits in an individual. The main idea behind this project is to detect autism spectrum disorder in an individual (male/female). This project is implemented by making use of a Machine Learning model using parameters such as an individual's age, gender, ethnicity, Autism Quotient Tool. The detection derived from this project will help an individual to get required diagnosis in time to prevent further complications of developing Alzheimer's disease.

Keywords: machine learning, autism spectrum disorder, parameters, autism quotient tool.

Title: Machine Learning Based Model for Prediction of Autism Spectrum Disorder

Author: Sandhya A Kulkarni, Dhanush Vasudevaraju, C Ramesh Chandra, Dinesh M, C Sai Ranganath             

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

Vol. 10, Issue 4, October 2022 - December 2022

Page No: 46-52

Research Publish Journals

Website: www.researchpublish.com

Published Date: 13-December-2022

Abstract: With the progression utilize of computers broadly, utilization of the information has moreover developed to a huge level. Nowadays information is collected without any reason, and each action of a machine or a human being is recorded, On the off chance that required in the future, at that point, the information will be dissected but here the address of believe emerges as the information will go through numerous stages for the investigation by distinctive parties. The information may contain a few touchy or private data which can be mutualized by the organizations included in the investigation stages. So, it is required for the hour to consider the information security issues exceptionally truly. Diverse sorts of strategies have been presented in this paper to guarantee information security conjointly diverse machine learning calculations have been talked about which have been utilized to plan the proposed strategies to guarantee information protection.

Keywords: Data Privacy, Privacy, Artificial Intelligence, Advanced Data Privacy.

Title: Advance Data-Privacy by Using Artificial Intelligence

Author: Hassan Jamal, Nasir A. Algeelani, Najeeb Al-Sammarraie

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

Vol. 10, Issue 4, October 2022 - December 2022

Page No: 38-45

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Website: www.researchpublish.com

Published Date: 16-November-2022

Amendment Date: 05-December-2022

Abstract: Monolithic applications have been developed for decades, satisfying market needs. Microservices add value for their service reusability, despite their long deployment process. But some legacy application developers have misunderstood the concept of microservices. Exposing an API service to other applications does not fulfill the microservices criteria. There are other factors such as the hosting platform and deployment method. Developers will normally need to refactor their applications to build structured microservices. Additionally, deploying a monolithic application using container technology, does not transform monolithic applications into microservices as containers.

Keywords: Monolithic applications, Microservices, API service.

Title: Containerized-monolithic applications are different from microservices

Author: Aqeel Alkhawaja

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

Vol. 10, Issue 4, October 2022 - December 2022

Page No: 33-37

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Website: www.researchpublish.com

Published Date: 28-October-2022

Abstract: Traditional networking architectures have a number of important flaws that must be solved in order to satisfy today’s IT demands. Software Defined Networking (SDN) is emerging as a new networking solution to address these limitations. The implementation of a dynamic load balancing algorithm to efficiently distribute fat-tree network flows through multiple alternative paths between a single pair of hosts is described in this paper. The network was evaluated both before and after the load balancing algorithm was applied. The testing focused on some QoS parameters such as throughput, delay, latency, jitter, and packet loss between two servers in the fat-tree network. The performance of the proposed algorithm was evaluated through an existing result of [1], to evaluate the extent to which the maximum network resources utilization was achieved. The result obtained shows that the proposed solution was more promising in terms of minimizing end-to-end delay, latency, jitter, packet loss and maximizing throughput in which we observed a reduction in latency by 33% and packet loss by 32% while throughput was maximized by 41%. 

Keywords: Software-Defined Networking, Fault-tolerance, Control Plane, Controller failure.

Title: DYNAMIC LOAD BALANCING OF NETWORK RESOURCES AND DATA TRANSMISSION IN SOFTWARE-DEFINED NETWORKS

Author: Ahmad Idris Hammaadama, Babangida Albaba Abubakar

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

Vol. 10, Issue 4, October 2022 - December 2022

Page No: 24-32

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Website: www.researchpublish.com

Published Date: 28-October-2022

Abstract: In this paper, based on Jumarie’s modified Riemann-Liouville (R-L) fractional calculus, some examples are provided to illustrate how to use Picard iterative method to find the approximation solution of fractional differential equation. A new multiplication of fractional analytic functions plays an important role in this paper. In fact, our results are generalization of these results of ordinary differential equations.

Keywords: Jumarie’s modified R-L fractional calculus, Picard iterative method, approximation solution, fractional differential equation, new multiplication, fractional analytic functions.

Title: Picard Iterative Method for Solving Fractional Differential Equations

Author: Chii-Huei Yu

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

Vol. 10, Issue 4, October 2022 - December 2022

Page No: 17-23

Research Publish Journals

Website: www.researchpublish.com

Published Date: 27-October-2022

Abstract: Photographers frequently encounter a variety of issues when taking wildlife photographs. Many local and foreign wildlife photographers struggle with the lack of an efficient tool for detecting and discovering endemic Sri Lankan birds. A mobile application called "Ceylon Birds" was developed as a solution for these issues. It uses birds’ images, voices, and habitats to identify the birds. This mobile application will access the device’s camera, recorder, and Global Positioning System to accurately identify the bird, habitats and provide the bird’s details to the photographer. The concepts of Machine Learning, Natural Language Processing, and Neural Networks are used for this application. The information supplied by the Wildlife Officers, experts in this sector, was used to develop this application. The main goals of the suggested solution are to locate the regions where the majority of birds are present during a relevant time period and to clearly identify endemic birds by their physical characteristics and tones of voice. The trained Machine Learning models have achieved the accuracy of 92%, 90%, and 88% for the voice detection model, image identification model, and location clustering model respectively. After testing this “Ceylon Birds” mobile application among wildlife photographers, we have received positive feedback from them.

Keywords: image identification, voice detection, location clustering, machine learning.

Title: Detection of Endemic Sri Lankan Birds Using AI-Based Software

Author: K.A.S.H Kulathunga, S.A.M Piyabhashitha, S.A.D.H.A Jayatilake, Jeewaka Perera, Dhammika Silva

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

Vol. 10, Issue 4, October 2022 - December 2022

Page No: 10-16

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Website: www.researchpublish.com

Published Date: 21-October-2022

Abstract: Due to the rapid development of human industry and the increase in human population, high-rise buildings having complex structures appear to be expected. To maintain the sanitation of such facilities, workers make a full route to check a countless number of trash cans without knowing the emptiness of the trash can, which results in inefficiencies for workers to travel unnecessary trips. Hence, this research paper explores pathfinding algorithms, such as the A* algorithm, RRT algorithm, Floyd algorithm, Dijkstra Algorithm, and Bellman-Ford Algorithm, that can be successfully and efficiently applied to the interior building and function as navigation for workers to travel in the optimal path, assuming the smart trashcan provides the information of its emptiness. This will allow workers to travel on the optimal path, saving labor costs and time and improving overall sanitation and management of trash in high-rise buildings. The evaluation of the pathfinding algorithms has been done on the grid/graph form of the simplified interior building with varying vertices and edges. More profound research on pathfinding algorithms has been presented in this research paper.

Keywords: path optimization, pathfinding algorithm, interior space, smart trash can.

Title: Path Optimization within an Interior Space or Building: Application of Shortest-Path Algorithm

Author: Justin Choi

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

Vol. 10, Issue 4, October 2022 - December 2022

Page No: 3-9

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Website: www.researchpublish.com

Published Date: 13-October-2022

Abstract: This article covers various types of relations that IT holds with a large base of internal customers which are normally employees of the same organization for which IT provides services. Be it the need to resolve an issue, or the desire to request additional services, or the courtesy of providing feedback, IT must have the proper channels in place to allow customers to reach out and have their needs addressed. Such channels can’t be standardized as the structure of IT itself is not standardized across various organizations. As such, IT must ensure to cover all the potential customer interactions though processes and channels which customer can easily understand and go through. Designing such processes and channels requires knowledge of the structure of IT, engagement with customers, planning and resource allocation, as well as continuous improvement and technology adoption. Typically, processes in place are supported by systems and tools that automate and speed up the process of customer care and service and simultaneously provide a direct channel for customers.

Keywords: IT, customer relations, interactions, demands, self-service, know-how and customer satisfaction.

Title: IT Customer Interactions in Vast Organizations

Author: Tameem Al Wohaibi

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

Vol. 10, Issue 4, October 2022 - December 2022

Page No: 1-2

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Website: www.researchpublish.com

Published Date: 11-October-2022