Volume-7 Issue-6, March 2018 – International Journal of Innovative Technology and Exploring Engineering (IJITEE)

F2497037618

IJITEE Journal — Sat, 17 Dec 2022 05:43:23 +0000

The International Journal of Innovative Technology and Exploring Engineering (IJITEE) has ISSN: 2278-3075 (online), an open-access, peer-reviewed, periodical monthly international journal. This journal is published by Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP) in January, February, March, April, May, June, July, August, September, October, November and December.The journal aims to publish high–quality peer–reviewed original articles in the area of Engineering and Technology that covers Computer Science and Engineering, Information Technology, Electrical and Electronics Engineering, Electronics and Telecommunication, Mechanical Engineering, Civil Engineering and all interdisciplinary streams of Engineering and Technology. #Smart Computing and Information Processing #Signal and Speech Processing #Image Processing and Pattern Recognition #WSN#Artificial Intelligence and machine learning #Data mining and warehousing #Data Analytics #Deep learning #Bioinformatics #High Performance computing #Advanced Computer Networking #Cloud Computing #IoT #Parallel Computing on GPU #Human Computer Interactions #Recent Trends in Microelectronics and VLSI Design #Process & Device Technologies #Low-Power Design #Nanometer-Scale Integrated Circuits #Application specific ICs (ASICs) #FPGAs #Nanotechnology #Nano Electronics and Quantum Computing #3. Challenges of Industry and their Solutions, Communications #Advanced Manufacturing Technologies #Artificial Intelligence #Autonomous Robots #Augmented Reality #Big Data Analytics and Business Intelligence #Cyber Physical Systems (CPS) #Digital Clone or Simulation #Industrial Internet of Things (IIoT) #Manufacturing IoT #Plant Cyber Security #Smart Solutions – Wearable Sensors and Smart Glasses #System Integration #Small Batch Manufacturing #Visual Analytics #Virtual Reality #3D Printing # Internet of Things (IoT) #Internet of Things (IoT) & IoE & Edge Computing #Distributed Mobile Applications Utilizing IoT #Security, Privacy and Trust in IoT & IoE #Standards for IoT Applications #Ubiquitous Computing #Block Chain-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 #Microwaves and Photonics #Microwave filter #Micro Strip antenna #Microwave Link design #Microwave oscillator #Frequency selective surface #Microwave Antenna #Microwave Photonics #Radio over Fibre #Optical Communication, #Optical Oscillator #Optical Link Design #Optical Phase Lock Loop #Optical Devices #Computation Intelligence and Analytics #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 #Energy Harvesting and Wireless Power Transmission #Energy Harvesting and Transfer for Wireless Sensor Networks #Economics of Energy Harvesting Communications #Waveform Optimization for Wireless Power Transfer #RF Energy Harvesting #Wireless Power Transmission #Microstrip Antenna Design and Application #Wearable Textile Antenna #Luminescence #Rectenna #Advance Concept of Networking and Database #Computer Network #Mobile Adhoc Network #Image Security #Application Artificial Intelligence and Machine Learning in the Field of Network and Database #Data Analytic #High Performance Computing #Pattern Recognition #Machine Learning (ML) and Knowledge Mining (KM) #Regression and Prediction #Problem Solving and Planning #Clustering #Classification #Neural Information Processing #Vision and Speech Perception #Heterogeneous and Streaming Data #Natural Language Processing #Probabilistic Models and Methods #Reasoning and inference #Marketing and Social Sciences #Data Mining #Knowledge Discovery #Web Mining #Information 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A Study on the Challenges of Employee Engagement in the Manufacturing Industries in Mysore & Bangalore Cities of Karnataka
K. Anantha Gowda¹, Siddegowda Y. S.²
">¹K. Anantha Gowda, Research Scholar, Department of Studies Social Work, University, Mysore, Mysuru (Karnataka), India.
²Dr. Siddegowda Y. S, Professor, Department of Studies Social Work, University, Mysore, Mysuru (Karnataka), India.
Manuscript received on 10 March 2018 | Revised Manuscript received on 19 March 2018 | Manuscript Published on 30 March 2018 | PP: 19-22 | Volume-7 Issue-6, March 2018 | Retrieval Number: F2497037618/18©BEIESP
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. 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: Employee engagement is the most important aspect of Organisation Development. For organisation to develop, employees behaviour has to be enthusiastic. Their deep and passionate involvement is expected by the organisation. Employees who come to the organisation having different age, education, cultural, economic and skill set background contribute in their own way to the productivity and profit of the Organisation. It is the responsibility of the organisations to build the capacity of the employees to engage actively by offering robust capacity building programs. This paper attempts to study the challenges of Employee Engagement in the two manufacturing Industries of Mysuru and three from Bengaluru city of Karnataka State, India. The findings shows that major challenges include the Gender, skills set, market situations, competitor’s attractions, referrals, economic needs, age, education, opportunity growth needs of the employees active engagement.
Keywords: Employee Engagement, Organisation Development, Skill set, Productivity, Employees’ Behaviour, Manufacturing Industries.
Scope of the Article: Manufacturing Processes

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J24350661017

IJITEE Journal — Sat, 17 Dec 2022 05:33:34 +0000

Parents Teachers Association (PTA) Collection Management System
Ramil G. Lumauag
">¹Ramil G. Lumauag Ed D, Associate Professor, Iloilo Science and Technology University, Miagao Campus Miagao, Iloilo, Philippines.
Manuscript received on 10 March 2018 | Revised Manuscript received on 19 March 2018 | Manuscript Published on 30 March 2018 | PP: 15-18 | Volume-7 Issue-6, March 2018 | Retrieval Number: J24350661017/18©BEIESP
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. 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: This study aims to develop a Collection Management System for ISAT U Miagao Campus Parents Teachers Association (PTA) which automates the manual process of collection of payment, and to solve the problems in the inconsistency and inaccuracy of financial reports made every semester. The system was developed using the prototyping model, and a usability metrics were used to evaluate the system’s effective, efficiency, and the level of satisfaction among the clientele. The result shows that the system is 100% effective and efficient which implies that it can successfully complete its task in a shorter period of time. The clientele were very satisfied on the services of the system. Suggestions to improve the process and make it as a multi-user were given.
Keywords: Collection Management, Financial Management, System Development
Scope of the Article: Data Base Management System

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F2496037618

IJITEE Journal — Sat, 17 Dec 2022 04:51:05 +0000

Measurement and Evaluation of Congestion in the Internet Protocol of the Channel Network
G.A. Gbotoso¹, L.A.Akinyemi², O.A Ajayi³, A.O Ademodi⁴, O.O Green⁵
">¹G.A. Gbotoso, Department of Electrical and Electronics Engineering, Lagos State Polytechnic, Ikorodu, Lagos Nigeria.
²L.A.Akinyemi, Department of Electrical Engineering & Built Environment, University, Cape Town, South Africa. Lagos State University, Epe Campus, Epe, Lagos Nigeria.
³O.A Ajayi, Department of Computer Engineering, Lagos State Polytechnic, Ikorodu, Lagos, Nigeria.
⁴A.O Ademodi, Department of Computer Engineering, Lagos State Polytechnic, Ikorodu, Lagos Nigeria.
Manuscript received on 10 March 2018 | Revised Manuscript received on 19 March 2018 | Manuscript Published on 30 March 2018 | PP: 6-14 | Volume-7 Issue-6, March 2018 | Retrieval Number: F2496037618/18©BEIESP
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© The Authors. 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 introduction of internet protocol (IP) services in multimedia applications on the internet had affected the Quality of service (QoS) efficiency in one way or the other which has resulted in the requirement of more bandwidth. However, exceptional service enjoyed on the internet had come with its challenges, purely the congestion of the internet as a result of growth in number of users. Congestion Management in the network services becomes one of the main problem in achieving high performance and good quality of internet services which also has resulted to managing bandwidth. This research therefore, used the ping plotter software to monitor the network in order to observe the delay on the network. After studying the network for a period of time without increasing bandwidth, the network administrator can make the right decision on how to achieve high performance based on the throughput.
Keywords: Bandwidth, Congestion, Internet, Internet Protocol (IP), Throughput.
Scope of the Article: Network Protocols & Wireless Networks

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B2473117217

IJITEE Journal — Sat, 17 Dec 2022 04:47:47 +0000

Consortium Solutions to Open and Distance Libraries Challenges: Does ZULC Rescue the Students?
Kudzayi Chiwanza¹, Chipo Mutongi²
">¹Kudzayi Chiwanza, Ph.D Candidate, Msc, BA, Dip-LIS,NC-LIS, Zimbabwe Open University.
²Dr. Chipo Mutongi, Ph.D MSc, MBA, BA, HND-LIS, Dip-Edu, Dip LIS, Dip-P Magnt, Dip- Salaries Admn, Zimbabwe Open University.
Manuscript received on 10 March 2018 | Revised Manuscript received on 19 March 2018 | Manuscript Published on 30 March 2018 | PP: 1-5 | Volume-7 Issue-6, March 2018 | Retrieval Number: B2473117217/18©BEIESP
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. 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 Zimbabwe Universities Libraries Consortium (ZULC) is continuing to develop cooperative projects to serve both convectional and distance learners. By cooperating rather than competing, Universities and College libraries are developing a package of services available to all academic students in Zimbabwe and to support Open and distance Learning (ODL) programs. This paper describes collaborative efforts to increase information resource access to meet the needs of distance learners and take advantage of changing technologies as well as suggesting other areas that can be collaborated through the consortium.
Keyword: Consortium, Information, Technologies, Open and Distance Libraries, Education, Knowledge, e-resources, Libraries, Librarian, Zimbabwe University Libraries Consortium (ZULC).
Scope of the Article: Smart Solutions – Wearable Sensors and Smart Glasses

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