Volume-10 Issue-5, May 2021 – International Journal of Soft Computing and Engineering (IJSCE)

F35000510521

IJSCE Journal — Tue, 28 Sep 2021 05:27:25 +0000

The International Journal of Soft Computing and Engineering (IJSCE) has ISSN: 2231-2307 (online), an open-access, peer-reviewed, periodical bi-monthly international journal. This journal is published by Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP) in January, March, May, July, September and November.The journal aims to publish high-quality peer–reviewed original articles in the area of Soft Computing and Engineering that covers Data Communication and Networking, Artificial Intelligence and Neural Networking, Image Processing and Recognition, Software Engineering and Project Management (SEPM), Computer Graphics and Multimedia (CGM), Data Mining, Cryptography and Network Security, Smart Computing and Information Processing, Internet of Things (IoT), Computation Intelligence and Analytics, Machine Learning (ML) and Knowledge Mining (KM), Operating System, Data Base Management System (DBMS), Data Structure and Algorithm (DSA), Object Oriented Analysis and Design (OOAD), and all interdisciplinary streams of Soft Computing and Engineering. #Addressing, Routing, Switching and Location Management #Broadband, Mobile, Wired, Wireless Internet #Networks: Adhoc and Sensor Networks, High Speed Networks, Mobile and #Wireless Networks #Network Architectures #Network Based Applications #Network Protocols #Network Operations & Management #Network Security Trust & Privacy #Cross Layer Design and Optimization #Internet and Web Applications #Network Measurement & Performance Analysis #Next Generation Internet & Web Architectures #Peer to Peer and Overlay Networks #QOS And Resource Management #Recent Trends & Developments in Computer Networks #Self-Organizing Networks and Networked Systems #Ubiquitous Networks #Virtual & Overlay Networks #Wireless Mesh Networks and Protocols #Wireless Multimedia Systems #Personal and Wearable Networks #Information-Centric Networking #Embedded Networks #Opportunistic Networking #Delay-Tolerant Networks #Cognitive Radio Networks #Vehicular Networks #Smart Grid Communications #Underwater Sensor Networks #Cyber-Physical Systems #Social Networks #Green Networking #Overlay and Peer-To-Peer Networks #Local-Area and Metropolitan-Area Networks #Storage-Area Networks #Routing and Transport Protocols #Big Data Networking #Cloud Computing and Networking #Software Defined Networking and Network Function Virtualization #Internet of Things #Link Technologies #Adaptive Networking Applications #Authentication, Authorization, Accounting #Security and Privacy #Cross-Layer Optimization #Multimedia and Real-Time Communication #Machine-To-Machine Communications for Smart Environments #Smart Cities #Network Traffic Characterization and Measurements #Network Management, Reliability and QoS #Performance Evaluation of Networks #Testbeds for Network Experiments #Network Coding #Optical and High-Speed Access Networks #High Performance Computing #Digital System and Logic Design #Networked-Driven Multicourse Chips #Information-Centric Networking #Opportunistic Networking #Mobile and Ubiquitous Networking #Big Data Networking #Cloud Computing and Networking #Software Defined Networking and Network Function Virtualization #Adaptive Networking Applications #Antenna and Communications Devices #Microstrip Antenna #Microwave #Radar and Satellite #Smart Antenna #MIMO Antenna #Wireless Communication #RFID Network and Applications #5G Communication #6G Communication #Neural Networks #Fuzzy Logic #Simulated Biological Evolution Algorithms (Like Genetic Algorithm) #Ant Colony Optimization(etc) #Reasoning and Evolution #Intelligence Applications #Computer Vision and Speech Understanding #Multimedia and Cognitive Informatics #Data Mining and Machine Learning Tools #Heuristic and Ai Planning Strategies and Tools #Computational Theories of Learning #Technology and Computing (Like Particle Swarm Optimization) #Intelligent System Architectures #Knowledge Representation #Bioinformatics #Natural Language Processing #Multiagent Systems #Supervised Learning #Unsupervised Learning #Deep Learning #Big Data and Ai Approaches #Reinforcement Learning #And Learning with Generative Adversarial Networks 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Databases #Image Generation #Image Manipulation #Image Permanence #Image Processing #Image Processing Applications #Image Processing: Coding Analysis and Recognition #Image Representation #Image Sensing #Imaging Systems and Image Scanning #Implementation and Architectures #Latent Image #Materials for Electro-Photography #Monitoring and Surveillance #Network Architecture for Real-Time Video Transport #New Visual Services Over ATM/Packet Network #Non-Impact Printing Technologies #Object Modeling and Knowledge Acquisition #Photoconductors #Photographic Emulsions #Photopolymers #Prepress and Printing Technologies #Processing and Analysis #Protocols for Packet Video #Remote Image Sensing #Retrieval and Multimedia #Scene Modeling #Signal-Processing Aspects of Image Processing #Storage and Transmission #Video Coding Algorithms and Technologies for ATM/P #Ethics of Software Engineering and Management #Software Life Cycles Development Models #Project Planning and Management #Software 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Retrieval #Shape Matching #Sketch-based Modelling #Solid Modelling #Stylized rendering #Textures #Virtual and Augmented Reality #Visual Analytics #Volume Rendering #Data Mining #Data Science #Big Data #Data Warehouse #Visualization #Security #Privacy #Big DaaS #Scalable Computing #Cloud Computing #Knowledge Discovery #Integration #Transformation #Information Retrieval #Social Data and Semantics #Mining Functions #Data Regression #Data Classification #Anomaly Detection #Data Clustering #Data Association #Data Regression #Data Cleaning #Feature Selection and Extraction #Data Mining Algorithms #Apriori #Decision Tree #Generalized Linear Models #K-Means #Minimum Description Length #Naive Bayes #Non-Negative Matrix Factorization #0-Cluster #Support Vector Machines #Data Preparation #Mining Unstructured Data #Artificial Intelligence #Future Directions and Challenges in Data Mining #Industrial Challenges in Data Mining #Cryptographic Protocols #Cryptography and Coding #Untrace-Ability #Privacy and Authentication #Key Management #Authentication #Trust Management #Quantum Cryptography #Computational Intelligence in Security #Artificial Immune Systems #Biological & Evolutionary Computation #Intelligent Agents and Systems #Reinforcement & Unsupervised Learning #Autonomy-Oriented Computing #Coevolutionary Algorithms #Fuzzy Systems #Biometric Security #Trust Models and Metrics #Regulation and Trust Mechanisms #Data Integrity #Models for Authentication #Trust and Authorization #Wireless Network Security #Information Hiding #Data & System Integrity #Access Control and Intrusion Detection #Intrusion Detection and Vulnerability Assessment #Authentication and Non-Repudiation #Identification and Authentication #Insider Threats and Countermeasures #Intrusion Detection & Prevention #Secure Cloud Computing #Security Information Systems Architecture and Design and Security Patterns #Security Management #Security Requirements (Threats, Vulnerabilities, Risk, Formal Methods, etc.) #Sensor and Mobile ad hoc Network Security #Service and Systems Design and QOS Network Security #System Security #Intrusion Detection #Secure end Systems #Secure Operating Systems #Data Base Security #Security Infrastructures #Security Evaluation #Software Security #Security and Privacy in Mobile Systems#Security and Privacy in Pervasive/Ubiquitous Computing #Security and Privacy in Web Services #Security and Privacy Policies #Security Area Control #Security Deployment #Security Engineering #Security for Grid Computing #Security in Distributed Systems #Network Security #Internet Security #Firewalls #Mobile Security #Security Agents #Protocols #Anti-Virus and Anti-Hacker Measures #Content Protection #Software Protection #Tamper Resistant Software #Electronic Commerce #Electronic Government #Health #Telecommunications #Mobility #Foundations #Privacy #Access Control #Authentication #Identification #Applied Cryptography #Formal Methods in Information Security #IoT & IoE & Edge Computing #Distributed Mobile Applications Utilizing IoT #Security, Privacy and Trust in IoT & IoE #Standards for IoT Applications #Ubiquitous Computing #Blockchain-enabled IoT Device and Data Security and Privacy #Application of WSN in IoT #Cloud Resources Utilization in IoT #Wireless Access Technologies for IoT #Mobile Applications and Services for IoT #Machine/ Deep Learning with IoT & IoE #Smart Sensors and Internet of Things for Smart City #Logic, Functional programming and Microcontrollers for IoT #Sensor Networks, Actuators for Internet of Things #Data Visualization using IoT #IoT Application and Communication Protocol #Big Data Analytics for Social Networking using IoT #IoT Applications for Smart Cities #Emulation and Simulation Methodologies for IoT #IoT Applied for Digital Contents #Soft Computing #Advance Ubiquitous Computing #Parallel Computing #Distributed Computing #Machine Learning #Information Retrieval #Expert Systems #Data Mining #Text Mining #Data Warehousing #Predictive 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Agent-Based Systems #Autonomic Computing #Adaptive Systems #Agent Architectures, Ontologies, Languages and Protocols #Multi-Agent Systems #Agent-Based Learning and Knowledge Discovery #Interface Agents #Agent-Based Auctions and Marketplaces #Secure Mobile and Multi-Agent Systems #Mobile agents #SOA and Service-Oriented Systems #Service-Centric Software Engineering #Service Oriented Requirements Engineering #Service Oriented Architectures #Middleware for Service Based Systems #Service Discovery and Composition #Service Level Agreements (Drafting, Negotiation, Monitoring and Management) #Runtime Service Management #Semantic web #Data Modelling, Mining and Data Analytics #Aggregation, Integration, and Transformation #Web and Text Mining #Data Mining Methods, Techniques, and Tools #Data Analytics Modelling and Algorithms #Patterns and Frameworks #Data Visualization #Knowledge Systems and Engineering #Knowledge Acquisition #Knowledge-based and Expert Systems #Knowledge Representation and Retrievals #Knowledge Engineering Tools and Techniques #Time and Knowledge Management Tools #Knowledge Modelling, Integration, Transformation, and Management #Uncertainty Knowledge Management #Knowledge Visualization #Mobile Computing and Mobile System Engineering #Mobile App Design and Development #Innovative Mobile Applications #Pervasive Computing #Mobile System Validation and Test Automation #Software & System Quality of Service #Soft Computing #Software and System Testing Methods #Quality Assurance Process, Standards, and Systems #Software Safety Systems #Software Test Automation and Tools #Software Dependability, Reliability, Scalability #Software & System Security #Software and System Security and Privacy #Mobile App Security and Privacy #Encryption Methods and Tools #Security Service Systems #Cloud, Sensor Cloud and Mobile Cloud Security #Mobile System Integrity, Security, And Fault Tolerance #Emergent Topics #Cloud Computing and Innovative Cloud-Based Application Systems 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Using Machine Learning and Artificial Intelligence Principles to Implement a Wealth Management System
Prarthana Mukherjee¹, Prit Palan², Mohan V Bonde³
¹Prarthana Mukherjee*, Pursuing Bachelor of Engineering, Department Information Technology, Usha Mittal Institute of Technology, SNDT Women’s University, Mumbai, Maharashtra, India.
²Prit Palan, Pursuing Bachelor of Engineering, Department Information Technology, Usha Mittal Institute of Technology, SNDT Women’s University, Mumbai, Maharashtra, India.
³M. V. Bonde, Assistant Professor, Department Information Technology, Usha Mittal Institute of Technology, SNDT Women’s University, Mumbai, Maharashtra, India.
Manuscript received on May 15, 2021. | Revised Manuscript received on May 18, 2021. | Manuscript published on May 30, 2021. | PP: 26-31 | Volume-10 Issue-5, May 2021. | Retrieval Number: 100.1/ijsce.F35000510521 | DOI: 10.35940/ijsce.F3500.0510521
Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Studies have shown that new generation of millennials have limited to no knowledge about managing their finances. This lack of awareness has created a need for financial literacy which is not only an essential employ-ability skill but also, a paramount life skill. Not only the younger generation but many individuals already in the corporate field are at their wit’s end when it comes to planning their finances and making correct financial decisions. This is where awareness in wealth management comes in. Wealth management is an investment advisory service. It also combines financial services to address the needs of individuals. It is more than just investment advice; it encompasses all parts of a person’s financial life. The users can find all the information of different investments rather than integrating all the information from different places. They can generate a plan themselves or with the help of artificial intelligence and machine learning principles, manage their own and their family’s current and future needs.
Keywords: Artificial Intelligence, Investment Advisory, Machine Learning, Wealth Management System

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F35020510521

IJSCE Journal — Tue, 28 Sep 2021 05:16:49 +0000

Machine Learning Implementation in Electronic Commerce for Churn Prediction of End User
Neha Sharma¹, Aayush Raj², Vivek Kesireddy³, Preetham Akunuri⁴
¹Neha Sharma*, Assistant Professor, Department of Information Technology, Manipal University Jaipur (Rajasthan), India.
²Aayush Raj, Department of Information Technology, Manipal University Jaipur (Rajasthan), India.
³Vivek Kesireddy, Department of Information Technology, Manipal University Jaipur (Rajasthan), India.
⁴Preetham Akunuri, Department of Information Technology, Manipal University Jaipur (Rajasthan), India.
Manuscript received on May 15, 2021. | Revised Manuscript received on May 18, 2021. | Manuscript published on May 30, 2021. | PP: 20-25 | Volume-10 Issue-5, May 2021. | Retrieval Number: 100.1/ijsce.F35020510521 | DOI: 10.35940/ijsce.F3502.0510521
Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Client conduct can be addressed from numerous points of view. The client’s conduct is distinctive in various circumstances will give his concept of client conduct. From an overall viewpoint, the conduct of the client, or rather any individual around there, is taken to be irregular. When noticed distinctly, it is regularly seen that the future conduct of an individual can rely upon different variables of the current circumstance just as the conduct in past circumstances. This examination establishes the forecast of client beat, for example regardless of whether the client will end buying from the purchaser or not, which relies upon different components. We have chipped away at two sorts of client information. To start with, that is reliant upon the current elements which don’t influence the past or future buys. Second, a period arrangement information which gives us a thought of how the future buys can be identified with the buys before. Logistic Regression, Random Forest Classifier, Artificial neural organization, and Recurrent Neural Network has been carried out to find the connections of the agitate with different factors and order the client beat productively. The correlation of calculations demonstrates that the aftereffects of Logistic Regression were somewhat better for the principal Dataset. The Recurrent Neural Network model, which was applied to the time-arrangement dataset, additionally gave better outcomes.
Keywords: Churn Prediction, Machine Learning, Telecommunication Churn, E- commerce Churn, Logistic Regression, Random Forest Classifier, Artificial neural network, Recurrent Neural Network.

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F34930510521

IJSCE Journal — Tue, 28 Sep 2021 05:09:06 +0000

Importance of Physical Fitness during Covid-19 Era
Mohd Sarfraz¹, Parag Rawal², Chirag Sharma³
¹Mohd Sarfraz*, B.Tech, Computer Science and Engineering, Lovely Professional University, Punjab, India
²Parag Rawal, B.Tech, Computer Science and Engineering, Lovely Professional University, Punjab, India
³Chirag Sharma, Assistant Professor, Department of Computer Science and Engineering, Lovely Professional University, Punjab, India.
Manuscript received on May 15, 2021. | Revised Manuscript received on May 18, 2021. | Manuscript published on May 30, 2021. | PP: 14-19 | Volume-10 Issue-5, May 2021. | Retrieval Number : 100.1/ijsce.F34930510521 | DOI: 10.35940/ijsce.F3493.0510521
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Contemplating healthy exercise and well-being are important for everyone. The point of the ebb and flow study was to examine the effect of thinking on living well in real life and in sound behaviour in humans. The benefits of exercise and exercise have been demonstrated throughout life. We are meant to walk and many of our body systems work better when we are physically active. By controlling depressive symptoms, some studies show that high levels of aerobic activity can be associated with a significant reduction in depressive symptoms. Consider engaging in one or two daily exercises that include short periods (30-90 seconds) of high intensity. For some, this can be achieved by exercising in their homes including jumping jugs, mountain climbers, and a series of strength exercises (i.e. standing squats, push-ups, sit-ups). For others, the use of home exercise equipment such as treadmills, elliptical machines, and stationary bicycles may be helpful.It will help people to improve their physical fitness and fitness programs.
Keywords: Physical Fitness, Awareness, Exercise.

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F34920510521

IJSCE Journal — Tue, 28 Sep 2021 04:58:50 +0000

A Novel Encryption RAAM Algorithm in Different Multimedia Applications
Chirag Sharma¹, Aman Kumar², Akancha Sinha³, Meraj Ahmad⁴
¹Chirag Sharma, Department of Computer Science and Engineering, Lovely Professional University, Jalandhar (Punjab), India.
²Aman Kumar*, Department of Computer Science and Engineering, Lovely Professional University, Jalandhar (Punjab), India.
³Akancha Sinha, Department of Computer Science and Engineering, Lovely Professional University, Jalandhar (Punjab), India.
⁴Meraj Ahmad, Department of Computer Science and Engineering, Lovely Professional University, Jalandhar (Punjab), India.
Manuscript received on March 26, 2021. | Revised Manuscript received on May 13, 2021. | Manuscript published on May 30, 2021. | PP: 9-13 | Volume-10 Issue-5, May 2021. | Retrieval Number: 100.1/ijsce.F34920510521 | DOI: 10.35940/ijsce.F3492.0510521
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: In this era where everything is becoming digital the most challenging topic in front of us is Data Security in every aspect even in the secured communication channel. These issues can be tackled by using strong Data Encryption and the trusted third party who maintains the database. The fast development in Digital Technology also comes with the rapid crimes and the insecurity of data theft. From time to time engineers came up with many encryption techniques like Caser Ciphers, Vernam Ciphers, Vigenère Cipher which helped us in securing the data but with lots of flaws that later were exploited by the cybercriminals. So, they cannot provide sufficient security. In this research paper, we have proposed a new, more efficient encryption algorithm. This algorithm will use multiple keys during encryption or decryption so it will be very less vulnerable against the attacks like Brute force.
Keywords: Cryptography, Ciphers, Private Key, Public Key.

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D34850310421

IJSCE Journal — Tue, 28 Sep 2021 04:48:19 +0000

Causes and Impacts of Conflicts in Construction Projects: A Viewpoint of Kenya Construction Industry
Samuel Kiilu Mbatha
¹Samuel Kiilu Mbatha*, Department of Construction Management, Jomo Kenyatta University of Agriculture and Technology (JKUAT), Juja, Kenya.
Manuscript received on May 15, 2021. | Revised Manuscript received on May 18, 2021. | Manuscript published on May 30, 2021. | PP: 1-8 | Volume-10 Issue-5, May 2021. | Retrieval Number: 100.1/ijsce.D34850310421 | DOI: 10.35940/ijsce.D3485.0510521
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Construction projects are predisposed to conflicts. This is attributed to the multiplicity of personnel handling the various phases of the projects. Empirical evidence from previous studies shows that if not properly managed, conflicts affect among others, the project’s productivity loss, inadequate time and cost performance levels, loss of profit, and damage in business relations. Identifying the significant causes and major potential impacts of conflicts is crucial to reducing the risk of conflict occurrence in projects. Hence, this study was focused on explaining the classification of conflicts, identifying and assessing their causes and impacts in construction projects in Kenya grounded on the perception of project consultants and contractors. To accomplish the study objectives, a questionnaire was designed to collect data on the experiences of construction professionals on the causes and impacts of conflicts during project implementation. A total of 122 consultants and contractors provided responses, which were analyzed. A total of 42 significant causes of conflicts in the Kenyan context were identified. Based on the survey results, delay in progress payments by the client was identified as the most significant cause of conflicts, followed by poor site management and supervision. The survey also revealed that conflicts can emerge from any of the stakeholders, with contractors contributing the most, accounting for 14 of the 42 conflict factors identified. The study ranked the impacts of these conflicts using the Relative Severity Index (RSI). The results indicated that the biggest impact of conflicts on construction projects is the loss of profitability and perhaps business viability, and delays in project delivery. Expert opinions regarding the best practices and strategies for improving project harmony through effective conflict management were reviewed and grouped into five classes namely; project documentation, stakeholder involvement, value-based procurement, and adoption of ICT. It is concluded that the project manager should develop his leadership role by the adoption of these strategies so that he can use his position to effect positive conflict management on his team members. Furthermore, during the life cycle of the construction project, special attention should be given to the identified cause factors to avoid or effectively manage conflicts. These results, taken together, support clear guidelines on the need for proactive financial obligation on the client-side, as well as the hiring of experienced project professionals. Implementing these suggestions would reduce the risk of conflicts arising during building projects.
Keywords: Conflict, Conflict Management, Construction Industry, Project Harmony.

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