Volume-10 Issue-1, July 2020 – International Journal of Soft Computing and Engineering (IJSCE)

A34560710120

IJSCE Journal — Tue, 28 Sep 2021 10:21:36 +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 #Regression and Prediction #Problem Solving and Planning #Clustering #Classification #Neural Information Processing #Vision and Speech Perception #Heterogeneous and Streaming Data #Probabilistic Models and Methods #Reasoning and Inference #Marketing and Social Sciences #Knowledge Discovery #Web Mining #Information Retrieval #Design and Diagnosis #Game Playing #Streaming Data #Music Modelling and Analysis #Robotics and Control #Multi-Agent Systems #Active Vision and Robotic Systems #Architecture of Imaging and Vision Systems #Autonomous Vehicles #Character and Handwritten Text Recognition #Chemical and Spectral Sensitization #Chemistry of Photosensitive Materials #Coating Technologies #Coding and Transmission #Cognitive Aspects of Image Understanding #Color Imaging #Communication of Visual Data #Data Fusion from Multiple Sensor Inputs #Display and Printing #Document Image Understanding # Generation and Display #Holography #Image Analysis and Interpretation #Image Capturing #Image 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 Requirements Analysis #Software Design Analysis #Software Testing and Integration #Software Implementation and Maintenance #Software Maintenance and Maintainability #Software Metrics or Attributes #Software Risk Assessment and Containment #Reliability #Software Quality and Quality Assurance #Software Cost Estimation #Object Oriented Developments #Object Oriented Metrics #Object Oriented Testing #Formal Notations #3D Reconstruction #Computer Animation #Computational Fabrication #Computational Geometry #Computational Photography #Computer Vision for Computer Graphics #Data Compression for Graphics #Geometric Modelling #Geometric Processing #HCI and Computer Graphics #Human Modelling #Image Analysis #Image Based Rendering #Image Processing #Machine Learning for Graphics #Medical Imaging #Pattern Recognition #Physically Based Modelling #Illumination and Rendering ethods #Robotics and Vision #Saliency Methods #Scientific Visualization #Shape and Surface Modelling #Shape Analysis and Image 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 Analysis #Data Management #Big Data Analytics #Big Data Security #Nature Inspired Computing #Reconfigurable Computing #Cloud, Cluster, Grid and P2P Computing #Biomedical Computing #Green Computing #Mobile Computing #Nano Ubiquitous Computing #Context Awareness and Personalization, Autonomic and Trusted Computing #Internet Computing #Sequential, Parallel and Distributed Algorithms and Data Structures #Approximation and Randomized Algorithms #Graph Algorithms And Graph Drawing #On-Line and Streaming Algorithms #Analysis of Algorithms and Computational Complexity #Algorithm Engineering #Web Algorithms #Exact And Parameterized Computation #Algorithmic Game Theory #Computational Biology #Foundations of Communication Networks #Computational Geometry #Discrete Optimization #Software Engineering Methodologies #Agent-based Software Engineering #Artificial Intelligence Approaches to Software Engineering #Component-based Software Engineering #Embedded and Ubiquitous Software Engineering #Aspect-based Software Engineering #Empirical Software Engineering #Search-Based Software Engineering #Automated Software Design and Synthesis #Computer-Supported Cooperative Work #Automated Software Specification #Reverse Engineering #Software Engineering Techniques and Production Perspectives #Requirements Engineering #Software Analysis, Design and Modelling #Software Maintenance and Evolution #Software Engineering Tools and Environments #Software Engineering Decision Support #Software Design Patterns #Software Product Lines #Process and Workflow Management #Reflection and Metadata Approaches #Program Understanding and System Maintenance #Software Domain Modelling and Analysis #Software Economics #Multimedia and Hypermedia Software Engineering #Software Engineering Case Study and Experience Reports #Enterprise Software, Middleware, and Tools #Artificial Intelligent Methods, Models, Techniques #Artificial Life and Societies #Swarm Intelligence #Smart Spaces #Autonomic Computing and 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 #Mobile Cloud Computing and Application Services #Big Data Analytics Application Systems #Innovative Sensing Cloud and Systems #Large-Scale Cyber Systems #IoT and Smart City Application Systems #Big Data Quality Validation #Big Data Application Quality Services #Smart Learning and Innovative Education Systems #Learning Software Design Engineering #Smart Learning Methods and Environments #Online Learning Systems #Mobile Enabled Learning Systems and Tools #PhD Academic #Scopus #SCI #LatticeScience #Springer, #ScienceDirect #IEEE #Mendeley #Research #Scholarship #UGC #SSRN #ESCI #Science #Journal #Conference #SSRN #PubLons #PhD #Academic #Scopus #SCI #LatticeScience #Springer, #ScienceDirect #IEEE #Mendeley #Research #Scholarship #UGC #SSRN #LatticeScience #ESCI #Science #Journal #Conference #SSRN #PubLon

The Impact of Maintenance Factors on Sustainability of Green Buildings in Nairobi County, Kenya.
Derrick Asuzah¹, Stephen Diang’a², Bernard Mugwima³
¹Derrick Asuzah, Student, Masters in Construction Project Management, Jomo Kenyatta University of Agriculture and Technology (JKUAT), Nairobi, Kenya.
²Prof. Stephen Diang’a, Department of Construction Management, School of Architecture and Building Sciences (SABS), Jomo Kenyatta University of Agriculture and Technology (JKUAT), Nairobi, Kenya.
³Dr. Bernard Mugwima, Centre for Urban Studies, Jomo Kenyatta University of Agriculture and Technology (JKUAT), Nairobi, Kenya.
Manuscript received on July 02, 2020. | Revised Manuscript received on July 05, 2020. | Manuscript published on July 30, 2020. | PP: 51-55 | Volume-10 Issue-1, July 2020. | Retrieval Number: A34560710120/2020©BEIESP | DOI: 10.35940/ijsce.A3456.0710120
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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: Green buildings are relatively new in the construction industry, especially in Kenya and serious questions regarding their maintenance beg answers as little has been documented. This study therefore, sought to assess the impact of maintenance factors on sustainability of green buildings in Nairobi County. A survey to investigate; maintenance problems, maintenance policies, maintenance strategies and maintenance management tools/techniques in relation to sustainability of green buildings was delimited to a sample size of 25 LEED certified buildings in Nairobi County and 86 registered green building practitioners. The survey achieved 53% response rate and data analysis was carried out using a quantitative approach. The findings indicate that, the maintenance strategy variable seemed not to have a significant relationship with the outcome variable, hence it was dropped from the model. The final logistic regression model shows that, the odds for sustainability of green buildings are 1.44, 3.72 and 2.89 times higher when there is proper management of maintenance problems, adequate maintenance policies and proper maintenance management tools/techniques respectively, holding all other factors constant. The results highlighted the need of a paradigm shift in maintenance management of green buildings hence, the proposed framework in figure 2 that will enable maintenance personnel to execute their work in an efficient manner. From an academic perspective, the findings contribute to the pool of knowledge available in the area of green buildings maintenance.
Keywords: Green Buildings, Sustainability, Maintenance.

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A34540710120

IJSCE Journal — Tue, 28 Sep 2021 10:12:58 +0000

Blockchain based Trusted Charity Fund-Raising
Ashutosh Ashish Khanolkar¹, Ashish Rajendra Gokhale², Amrish Sanjay Tembe³, Vinayak A. Bharadi⁴
¹Ashutosh Ashish Khanolkar*, Department of Information Technology, Finolex Academy of Management and Technology, Ratnagiri, India.
¹Ashish Rajendra Gokhale, Department of Information Technology, Finolex Academy of Management and Technology, Ratnagiri, India.
¹Amrish Sanjay Tembe, Department of Information Technology, Finolex Academy of Management and Technology, Ratnagiri, India.
¹Dr. Vinayak A. Bharadi, Department of Information Technology, Finolex Academy of Management and Technology, Ratnagiri, India.
Manuscript received on July 02, 2020. | Revised Manuscript received on July 05, 2020. | Manuscript published on July 30, 2020. | PP: 45-50 | Volume-10 Issue-1, July 2020. | Retrieval Number: A34540710120/2020©BEIESP | DOI: 10.35940/ijsce.A3454.0710120
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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: The proposed system is a decentralized authentic platform that aims to leverage blockchain along with other technologies to design a trusted framework which would enable charity donations to be as accountable, trustworthy and transparent. The paper explores the potential for deploying blockchain within existing organizations to support smooth conduction of charity funds from the donor to the actual needy person using a stable Ethereum based Blockchain oriented platform. In this fast developing world of modernization, some people are becoming too competitive to earn money while others have no clue about getting even a penny. But at the same time, there exist people who wish to contribute to the society out of altruism. There exist many online donation platforms in the world and yet issues concerning extra fees, accountability and processing delay still exist as well as these existing centralized systems for charities are so corrupt that people lose belief in these trustless systems and hence the charities become futile. This paper explores how the blockchain can be leveraged in the philanthropic sector, through charitable donation services via a web- based donor platform.
Keywords: Charity, Blockchain, Cryptocurrency, Ethereum, Ethash

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A34550710120

IJSCE Journal — Tue, 28 Sep 2021 10:01:03 +0000

Effectiveness of Risk Management in NG-CDF Construction Projects in Nairobi County
Njom Jared O. Miganda¹, Abednego Gwaya², Wanyona Githae³
¹Mr. Jared Njom Miganda, Student, Master of Construction Project Management, Jomo Kenyatta University of Agriculture and Technology (JKUAT), Nairobi, Kenya.
²Dr. Abednego Gwaya, Senior Lecturer Department of Construction Management, School of Architecture and Building Sciences (SABS), Jomo Kenyatta University of Agriculture and Technology (JKUAT), Nairobi, Kenya.
³Dr. Wanyona Githae, Senior Lecturer, Department of Construction Management, School of Architecture and Building Sciences (SABS), Jomo Kenyatta University of Agriculture and Technology (JKUAT), Nairobi, Kenya.
Manuscript received on July 02, 2020. | Revised Manuscript received on July 05, 2020. | Manuscript published on July 30, 2020. | PP: 40-44 | Volume-10 Issue-1, July 2020. | Retrieval Number: A34550710120/2020©BEIESP | DOI: 10.35940/ijsce.A3455.0710120
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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: Globally, performance of a construction project is primarily judged by cost, time, and quality. Performance of any project is measured by the extent of meeting the standards laid down at the start of the project. Risk management has been conceptualized as having a great bearing on the outcome of projects. The purpose of this study was to investigate risk management in relation to performance of National Government Constituency Development Funded construction projects in Nairobi County. The objectives of the study included; to assessing the influence of resource risk management, to investigate the role of risk management procedures, to analyze the influence of risk management policies and finally to develop a framework for enhancing proper risk management in the CDF projects in Kenya. A survey research design was used. The study employed a probabilistic sampling technique of simple random sampling in data collection. The study found a positive correlation between NG-CDF construction projects performance and all its explanatory variables investigated in the study. The study established that Construction risk management is extremely critical for every company. Not knowing where there might be risks on a project leave companies vulnerable and ill-prepared. CDF risk management committee should therefore develop a risk management policy that is consistent with the risk management strategy and Explain the purpose, role and benefits of embedding risk management policy and procedures into firms’ policies and procedures.
Keywords: Risk Management, NG-CDF Projects

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F3402039620

IJSCE Journal — Tue, 28 Sep 2021 09:50:48 +0000

Development of Raspberry-Pi Based IoT Agricultural System using Fuzzy Techniques
B. Sridhar¹, K. Lalitha Divya Sindhu², N. Ragasudha³, M. Mounika⁴, K. Premnath Chakri⁵
¹B. Sridhar*, Professor ECE department, LIET, Vizianagaram, India.
²K. Lalitha Divya Sindhu, Final year UG Students, ECE department LIET Vizianagaram, India.
³N. Ragasudha, Final year UG Students, ECE department LIET Vizianagaram, India.
⁴M. Mounika, Final year UG Students, ECE department LIET Vizianagaram, India.
⁵K. Premnath Chakri, Final year UG Students, ECE department LIET Vizianagaram, India.
Manuscript received on July 02, 2020. | Revised Manuscript received on July 05, 2020. | Manuscript published on July 30, 2020. | PP: 31-39 | Volume-10 Issue-1, July 2020. | Retrieval Number: F3402039620/2020©BEIESP | DOI: 10.35940/ijsce.F3402.0710120
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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 India, agriculture plays an important role in national development. Agricultural problems have always hindered the country’s development. The only solution to this is smart farming by modernizing traditional farming methods today. The Internet of Things (IOT) allows a variety of applications such as monitoring and selecting crop development, supporting irrigation decisions, etc. The result of this work is the monitoring of soil moisture, temperature, humidity, pH, reproduction and water level . Field Using a sensor network that collects data from different types of sensors and then sends it to the main server using Raspberry pi, it uses vague logic in real time to make decisions based on the decisions made by the system.
Keywords: IOT, agricultural system, Fuzzy logic, Raspberry pi, Sensor nodes.

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F3413039620

IJSCE Journal — Tue, 28 Sep 2021 09:41:27 +0000

Application of PMU on Fault Detection and Hybrid State Estimations
Andrew Lockie¹, Thomas Dowd²
¹Andrew Lockie*, Department of Physics, Marquette University, Milwaukee, USA.
²Thomas Dowd, Department of Physics, Marquette University, Milwaukee, USA.
Manuscript received on July 02, 2020. | Revised Manuscript received on July 05, 2020. | Manuscript published on July 30, 2020. | PP: 26-30 | Volume-10 Issue-1, July 2020. | Retrieval Number: F3413039620/2020©BEIESP | DOI: 10.35940/ijsce.F3413.0710120
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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: It is feasible to record and monitor the power systems’ dynamic behavior with the extensive deployment of phasor measurement units (PMU). PMU provides high-precision data in which has shown applications in many fields. This study gives a comprehensive prospective of the application of PMU in fault detection. Basically, this paper evaluates the application of this data for fault detection. In which, it is crucial to detect the faults at their early stage so remedial reaction can be taken to reduce the potential damage. Second, the incorporation of the PMU data into state estimation algorithms to achieve more stable and accurate estimation algorithm. It is demonstrated, incorporating the PMU data will increase the observability of the system, however more comprehensive algorithm to monitor the system and detect the faults is needed.
Keywords: Fault detection, Hybrid state estimation, PMU data, Power systems, SCADA.

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A34520710120

IJSCE Journal — Tue, 28 Sep 2021 09:32:35 +0000

Performance of Carrier- Suppressed Return-to-Zero(CSRZ), Duo binary Return-to-Zero(DRZ) and Modified Duo binary Return-to-Zero(MDRZ) Modulation Methods in WDM-PON Systems
Yankho Alexander Chitungu¹, Gurmeet Singh², Dinesh Kumar Verma³
¹Yankho Alexander Chitungu, Department of Electronics and Communication Engineering, PDM University, Bahadurgarh, India.
¹Gurmeet Singh, Assistant Professor, Department of Electronics and Communication Engineering, PDM University, Bahadurgarh, India.
¹Dinesh Kumar Verma, Assistant Professor, Department of Electronics and Communication Engineering, PDM University, Bahadurgarh, India.
Manuscript received on July 02, 2020. | Revised Manuscript received on July 05, 2020. | Manuscript published on July 30, 2020. | PP: 22-25 | Volume-10 Issue-1, July 2020. | Retrieval Number: A34520710120/2020©BEIESP | DOI: 10.35940/ijsce.A3452.0710120
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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 paper the different modulation techniques used in fiber optic technology are compared to check which one has the better bit error rate (BER). There are a number of different modulation techniques used in WDN-PON systems but here the comparison is made among carrier-suppressed return-to-zero (CSRZ), duobinary return-to-zero (DRZ) and modified duobinary return-to-zero (MDRZ) modulation. The comparison to determine which is better is made my performing simulations in OptiSystem version 17 software. OptiSystem 17 is the current version of the software at the time the simulations were being carried out. In the OptiSystem software an optical fiber system is simulated from transmitter all the way to receiver. In the experiment when checking the performance of the different modulation formats, the optical fiber and the receiver are left unchanged and only the transmitter part is changed according to the modulation format being simulated at that particular instance. The modulation in the transmitter is done by using proper components from the OptiSystem library which when organized in the right order will give out a signal modulated in a certain format by the time it is fed into the optical fiber. Knowing the performance of modulation can help in WDM PON where the network gets to use passive components as it goes to user. Since no active amplification or correction equipment is used in WDM-PON, therefore using the format with the best performance can help with performance of overall system.
Keywords: Bit-error-rate, WDN-PON, Carrier suppressed return to zero, duobinary return to zero, modified duobinary return to zero.

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IJSCE Journal — Tue, 28 Sep 2021 09:09:19 +0000

A Mathematical Formulation for Frequency Spectrum in Cognitive Network
Adegbenjo A.¹, Adekunle Y², Agbaje, M.³
¹Adegbenjo A8., Department of Computer Science & Information Technology, Babcock University, Ilishan-Remo, Ogun State.
²Adekunle Y, Department of Computer Science & Information Technology, Babcock University, Ilishan-Remo, Ogun State
³Agbaje, M. Department of Computer Science & Information Technology, Babcock University, Ilishan-Remo, Ogun State
Manuscript received on July 02, 2020. | Revised Manuscript received on July 05, 2020. | Manuscript published on July 30, 2020. | PP: 14-21 | Volume-10 Issue-1, July 2020. | Retrieval Number: F3395039620/2020©BEIESP | DOI: 10.35940/ijsce.F3395.0710120
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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: Cognitive networks were developed to solve the current challenges in wireless networking by using established wireless spectrum because of the limited bandwidth available and the inefficiency of spectrum use. The CN with the fundamental ability of cognitive radio provides the spectrum-conscious model of wireless connections. This research provides a concept in a functional web environment to incorporate CRNs. The algorithm for the cluster head facilitates communication between secondary users, improves spectrum hole identification and thus allows spectrum use more effective. The developed spectrum analysis scheme was evaluated using the current measuring method on four radio technology (FM Broadcast, GSM-900 DL, DCS-1800 DL and UHF TV). The efficiency of radio technology networks was found to be very close. The CR signal strength varies while the signal power and the SIR are monitored continuously. The computation results show a substantial improvement of the PU’s throughput from 19.6 to 61.1%. The efficiency of power has been increased from 76.66% to 86.82% for FM Broadcast, 76.91% to 86.82% for GSM-900, 78.19% to 89.04% for DCS-1800 and 78% to 88.55% for UHF TV. The lower the interference, the better reception of the signal of the secondary users. The best signal response was at 12decibel, and the interference was able to reduce from 95% to 25%.
Keywords: Algorithm, Cognitive Network, HMM, MCPA and Spectrum

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A34380710120

IJSCE Journal — Tue, 28 Sep 2021 09:01:14 +0000

Coal Mine Monitoring System using Arduino and Lora
P. Poornima¹, T. Bhavya Sai²
¹Mrs. P. Poornima*, Assistant Professor, Department of Computer Science and Engineering, Mahatma Gandhi Institute of Technology, Hyderabad, India.
²T. Bhavya Sai, Student, Department of Computer Science and Engineering, Mahatma Gandhi Institute of Technology, Hyderabad, India.
Manuscript received on September 02, 2021. | Revised Manuscript received on September 05, 2021. | Manuscript published on November 30, 2021. | PP: 10-13 | Volume-10 Issue-2, September 2020. | Retrieval Number: A34380710120/2020©BEIESP | DOI: 10.35940/ijsce.A3438.0710120
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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: Presently a day’s of international warming and atmosphere adjustments there are testing circumstances in coal mineshaft. To diminish the incentive as properly as to enhance the productivity at the side of product high-quality the automation within the field of coal mine is necessary, as a way to also lessen the mine employees efforts. Because of numerous humans kicked the bucket in mine mishap, the mine wellbeing plays a key position in mine producing technique. By digital of new headways in the Web of Chimes, this paper proposes an smart tracking machine for coal mineshafts, which goals at checking the coal mineshaft produce system.
Keywords: Incentive, automation, mine mishap, mineshafts.

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A34330710120

IJSCE Journal — Tue, 28 Sep 2021 08:48:25 +0000

Feature Based Opinion Mining using Text Analysis for Chhattisgarh Tourism Industry
Riya Sharma¹, Ani Thomas²
¹Riya Sharma*, Department of Information Technology, Bhilai Institute of Technology, Durg. Chhattisgarh, India.
¹Dr. (Mrs.) Ani Thomas, Professor and Head, Department of Information Technology, Bhilai Institute of Technology, Durg. Chhattisgarh, India.
Manuscript received on July 02, 2020. | Revised Manuscript received on July 05, 2020. | Manuscript published on July 30, 2020. | PP: 6-9 | Volume-10 Issue-1, July 2020. | Retrieval Number: A34330710120/2020©BEIESP | DOI: 10.35940/ijsce.A3433.0710120
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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: Opinion mining is an approach of natural language processing (NLP) that distinguishes the emotional tone of the content or any sentence. This is often a well known approach to decide the assessment about an item, administration or thought. It includes the utilization of information mining, AI and man-made consciousness for conclusion and emotional data of the content. opinion mining is also referred as sentiment analysis .Sentient analysis can be said as study of human emotions .we can arrange those notions into positive and negative from any content . It is a procedure of evaluating the emotional value in content ,to have a comprehension of frames of mind, suppositions and emotions are expressed .The feedback of Tourists are important for Tourism Industries, because it enables to plan marketing strategies based on the reviews .So it is necessary to understand their sentiments about its distinctive features as overall sentiment of a place. Opinion mining is necessary for Chhattisgarh to enhance its tourism industry.
Keywords: Natural language processing, Opinion mining, Sentiment analysis, Tourism.

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IJSCE Journal — Tue, 28 Sep 2021 07:37:21 +0000

Feature Based Opinion Mining using Text Analysis for Chhattisgarh Tourism Industry
Riya Sharma¹, Ani Thomas²
¹Riya Sharma*, Department of Information Technology, Bhilai Institute of Technology, Durg. Chhattisgarh, India.
²Dr. (Mrs.) Ani Thomas, Professor and Head, Department of Information Technology, Bhilai Institute of Technology, Durg. Chhattisgarh, India.
Manuscript received on July 01, 2020. | Revised Manuscript received on July 02, 2020. | Manuscript published on July 30, 2020. | PP: 6-9 | Volume-10 Issue-1, July 2020. | Retrieval Number: A34330710120/2020©BEIESP | DOI: 10.35940/ijsce.A3433.0710120
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/)

Download PDF

The post appeared first on International Journal of Soft Computing and Engineering (IJSCE).