Volume-9 Issue-9S, July 2020 – International Journal of Innovative Technology and Exploring Engineering (IJITEE)

I10080799S20

IJITEE Journal — Thu, 17 Aug 2023 06:34:41 +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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#Security, Trust and Privacy #Digital Rights Management #Networked-Driven Multicourse Chips #Internet Computing #Agricultural Informatics and Communication #Community Information Systems #Computational Economics, Digital Photogrammetric #Remote Sensing, GIS and GPS #Disaster Management #e-governance, e-Commerce, e-business, e-Learning #Forest Genomics and Informatics #Healthcare Informatics #Information Ecology and Knowledge Management #Irrigation Informatics #Neuro-Informatics #Open Source: Challenges and opportunities #Web-Based Learning: Innovation and Challenges #Soft computing Signal and Speech Processing #Natural Language Processing #Communications #Microstrip Antenna #Microwave #Radar and Satellite #Smart Antenna #MIMO Antenna #Wireless Communication #RFID Network and Applications #5G Communication #6G Communication #Algorithms and Complexity #Sequential, Parallel and Distributed Algorithms and Data Structures #Approximation and Randomized Algorithms #Graph Algorithms and Graph 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Experimental Electric Retrofitting of an Ice Vehicle with Simulation and Cost Analysis
Ashish Rajeshwar Kulkarni¹, Sudhanshu Singh², Krishan Kant³, Hemant Bharti⁴

¹Ashish Rajeshwar Kulkarni, Assistant Professor, Department of Electrical, Technological University, (Delhi), India.

²Sudhanshu Singh, B.Tech, Department of Electrical Engineering, Technological University, (Delhi), India.

³Krishan Kant, B.Tech, Department of Electrical Engineering, Technological University, (Delhi), India.

⁴Hemant Bharti, B.Tech, Department of Electrical Engineering, Technological University, (Delhi), India.

Open Access | Editorial and Publishing Policies | Cite | Zenodo | 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: With increasing awareness towards environmental issues, the modern society seems inclined towards use of cleaner fuel in transportation and a drift towards electric vehicles is now being observed world over. Government of India has already made its vision 2030 public in which 100% use of electric vehicles in public transport and increased percentage of electric vehicles in personal passenger vehicles is envisaged. The paper presents a method followed for the conversion process of a traditional ICE vehicle to electric vehicle. The research specifically takes into consideration ARAI guidelines and Indian laws that benefit the process. The paper is presented in three sections. The first section deals with essential electrical components required for the procedure and their selection respectively. The second section contains simulation of selected electric motor along with cost analysis of the complete drive. The third section contains the procedure followed to obtain the final vehicle along with descriptive images for better understanding of placement of the components. The final vehicle obtained is highly cost effective as well as efficient in its performance.

Keywords: BLDC, Conversion, Gearbox, Retrofitting.
Scope of the Article: Network Modelling and Simulation

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I10070799S20

IJITEE Journal — Thu, 17 Aug 2023 06:29:45 +0000

On the Methods for Detecting Brain Tumor from MRI Images
Aswani K¹, Menaka. D.², Manoj M K.³

¹Aswani K, Department of Electronics and Communication, Noorul Islam Center for Higher Education, Thuckalay (Tamil Nadu), India.

²Dr. D. Menaka, Department of Electronics and Instrumentation, Noorul Islam Center for Higher Education, Thuckalay (Tamil Nadu), India.

³Manoj M K, Department of Electronics and Communication, MEA Engineering College, Perinthalmanna (Kerala), India.

Abstract: Brain tumor detection from MRI images is a challenging process due to high diversity in the tumor pixels of different peoples. Automatic detection has got wide spread acclaim because the manual detection by experts is time consuming and prone to error in judgment. Due to its high mortality rate, detection of tumor automatically is a new emerging technique in bio medical imaging. Here we present a review of few methods from simple thresholding to advanced deep learning methods for segmentation of tumor from MRI data. The segmentation of tumor methods is classified to image segmentation using gray level processing, machine learning and deep learning. The results of various methods are compared to find the best methods available. As medical imaging methods have improving day by day this review will help to understand emerging trends in brain tumor detection.

Keywords: MRI, Segmentation, Machine Learning, Deep Learning.
Scope of the Article: Image Security

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I10060799S20

IJITEE Journal — Thu, 17 Aug 2023 06:22:39 +0000

Study of Success Levels and Success Criteria for Infrastructure Projects in Thiruvananthapuram
Sarosh Kothandath¹, Hari Haran²

¹Sarosh Kothandath, Research Scholar, Faculty of Management Studies, ICFAI University, Ranchi (Jharkhand), India.

²Dr. Hari Haran, Adjunct Professor, Faculty of Management Studies, ICFAI University, Ranchi (Jharkhand), India.

Abstract: Public Infrastructure projects are generally believed to be complex and success rates of these projects are reported as far from satisfactory. Advances in project management techniques over the yearsdoes not effectively address the success gap, the subjective nature of what constitutes project success adds more to the uncertainty. Public projects utilize public funds and hence has the accountability towards public opinion and are expected to generate positive public appeal from the users. This paper intends to discover the opinion of project users in Thiruvananthapuramcity on success criteria for infrastructure projects and to conduct a comparative analysis for transport and water sector projects as well as comparison of user and project professional viewpoints on project success for both these sectors.

Keywords: Infrastructure, Project Success, Success Criteria, User Preference.
Scope of the Article: Social Sciences

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I10050799S20

IJITEE Journal — Thu, 17 Aug 2023 05:58:39 +0000

Green Construction and other Sustainability Trends
Cinta Joseph Choondal

Cinta Joseph Choondal, Department of Civil Engineering, Thejus Engineering College, Thrissur (Kerala), India.

Abstract: Sustainable development is a hot topic in today’s world since it could help us to meet the needs of today without compromising the ability of future generations to meet their own needs. As a civil engineering student, to meet our needs, we must be willing to learn and adapt and to continue to do so in the future. For example, infrastructures for changing climate, and earthquake and flood resistant buildings. It is our responsibility to be innovative in our practices and find solutions for the issues that our planet faces. Green material plays a key role in sustainable development. They are the local and renewable materials that are used to construct energy efficient structures. Green buildings are not just about little more efficiency. But it creates less waste and greenhouse gases and supports clean environment and healthy living. Materials, energy, water and health are the key elements of green building. This paper is a review on green materials and green construction and its importance in growing sustainability trends. It is a question that disturbs minds of civil engineers around the world that how could construction industry bother sustainability. Construction industry, from energy usage to emissions, by its very nature is a large user of natural resources. Besides having potential for building over wild habitats, it also has larger environmental impact. It uses fossil fuels for its heavy machinery. World’s 36% energy usage and 40% CO2 emissions are solely from construction industry. Thus, this industry is under pressure to decrease its environmental impact. So, usage of renewable and recyclable resources, and reducing energy consumption and waste should be the major goals of this industry which could fulfil the idea of green construction. It should also adhere to the idea of Corporate Social Responsibility- the idea that business should support good causes.

Keywords: Corporate Social Responsibility, Green Building, Sustainability Development, Sustainability Trends.
Scope of the Article: Construction Engineering

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I10040799S20

IJITEE Journal — Thu, 17 Aug 2023 05:52:05 +0000

Evaluating the Significance of Financial Characteristics on Energy Consumption of Urban Building Stock using Principal Component Analysis and Logistic Regression
Vishnu Sivarudran Pillai¹, Arathi KV²

">¹Vishnu Sivarudran Pillai, Department of Public Policy, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong.

²Arathi KV, Ezra Homes, Kochi (Kerala), India.

Abstract: The increased population and the rapid urbanization seek our attention towards sustainable production and consumption in cities. In assessing the factors affecting the energy consumption characteristics of the buildings, it is crucial that we consider the user behavior along with the design characteristics of the buildings. One significant factor that influence the user behavior is the financial characteristics. We use non-parametric machine learning algorithms and econometric models to assess the influence of the user behavior characteristics in the urban building stock in New York City. The analysis was conducted on the open-data assessable, which is mandated by the Local Law 84. In our analysis we concluded that the financial characteristics have a significant effect in the energy consumption of the residential buildings, however, is not that significant in deciding the energy consumption of the commercial buildings.

Keywords: Building Energy, Principal Component Analysis, Logistic Regression, Energy Usage Intensity.
Scope of the Article: Building Energy

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I10030799S20

IJITEE Journal — Thu, 17 Aug 2023 05:41:00 +0000

Design and Analysis of a Novel Drying Chamber in Indirect Forced Convection Solar Drying
Sabareesh Vijayakumar¹, Milan K. John², C. Muraleedharan³, B. Rohinikumar⁴

¹Sabareesh Vijayakumar, Student, Department of Mechanical Engineering, National Institute of Technology, Calicut (Kerala), India.

²Milan K. John, Student, Department of Mechanical Engineering, National Institute of Technology, Calicut (Kerala), India.

³C. Muraleedharan, Student, Department of Mechanical Engineering, National Institute of Technology, Calicut (Kerala), India.

⁴B. Rohinikumar, Student, Department of Mechanical Engineering, National Institute of Technology, Calicut (Kerala), India.

Abstract: Long drying time and less control on drying parameters in natural convection drying give way to forced convection indirect solar drying. In forced convection drying, an external blower supplies ambient air into the solar collector. The incoming air gets heated inside the collector and this air then flows into the drying chamber where the product to be dried is kept. The hot air absorbs the moisture from the raw crops and exits through the chimney. Along with the temperature and humidity of incoming air, its distribution inside the drying chamber is also important in the process of drying. The drying rate and quality can be improved if these parameters are under control in forced convection solar drying. In this paper, design and analysis of a novel drying chamber are presented to improve the performance and energy efficiency of solar drying with effective distribution of air inside the chamber. The variation of velocity with respect to different positions inside the drying chamber is also studied numerically.

Keywords: Energy Efficiency, Solar Drying Chamber, Temperature, Velocity.
Scope of the Article: Machine Design

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I10020799S20

IJITEE Journal — Thu, 17 Aug 2023 05:29:56 +0000

Study of Impact Strength, Hardness, Micro Structure and Tribological Properties of Al5052 Composite with SiC and Graphite as Reinforcements
Shinoop Khan S¹, M A Joseph², K Sekar³

¹Shinoop Khan S, M.Tech, Department of Mechanical Engineering, Material Science and Technology, NIT, Calicut (Kerala), India.

²Dr. M A Joseph, Professor, Department of Mechanical Engineering, NIT Calicut (Kerala), India.

³Dr. K Sekar, Assistant Professor, Department of Mechanical Engineering, NIT Calicut (Kerala), India.

Abstract: Aluminum Composite are widely used in aviation and automotive industries because it is light in weight hence it reduces the fuel consumption and improves the energy efficiency. The present work deals with preparing Aluminum-based particle reinforced composite fabricated through Stir Casting Process wherein Sic along with Graphite are used as reinforcements which has improved mechanical properties with reduction in weight. Impact toughness, hardness along with wear property of the fabricated composite samples were tested and compared with Al 5052 Cast Alloy based on ASTM Standard. From the testing, we can conclude that Impact toughness, Hardness and wear properties of Al 5052 base alloy is considerably increased due to the addition of particulate reinforcements. And also there is not much studies reported on the influence of Sic and Graphite as reinforcement on Impact toughness, hardness along with Wear behavior of Al 5052 alloy. So the objective of the current work is to fabricate Al 5052 base alloy reinforced with particulate composite by stir casting process and to study the Impact toughness, hardness, and microstructure along with wear behavior of the fabricated composites.

Keywords: Energy Efficiency, Graphite, Hybrid Composite, Stir Casting.
Scope of the Article: Composite Materials

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I10010799S20

IJITEE Journal — Thu, 17 Aug 2023 05:07:45 +0000

Performance Assessment of Banana Drying using a Forced Convection Solar Dryer
Aravind S¹, Milan K John², Rohinikumar B³, Muraleedharan C⁴

">¹B Rohinikumar, Department of Mechanical Engineering, National Institute of Technology, Calicut (Kerala), India.

²Aravind S, Pursuing Master Technology, Energy Engineering and Management, Department of Mechanical Engineering, National Institute of Technology, Calicut (Kerala), India.
³Milan K John, Pursuing Ph.D, Department of Mechanical Engineering, National Institute of Technology, Calicut (Kerala), India.

⁴Dr. Muraleedharan C, Ph.D Degree, Department of Mechanical Engineering, University of Calicut (Kerala), India.

Abstract: Among all the noteworthy preservation techniques for food items, drying is considered to be one of the most consequential one. Different types of drying systems exist bottomed on the manner in which air flow takes place in the drying chamber and method of utilising incident solar radiation for drying. An indirect forced convection solar drying system with a dryer of varying cross section was considered in the present work. Banana (Musa Paradisiaca) was the raw material to be dried. Performance of the system at discharges of 0.03 and 0.02 kg/s, respectively for the specified mass of product was obtained and compared with open sun drying in the range of 66.3% – 9.9% of wet basis moisture content. Drying process in chamber drying was completed four and two hours earlier than open sun drying at discharges of 0.03 kg/s and 0.02 kg/s, respectively. Cumulative and tray wise instantaneous drying rates were found and obtained maximum drying rates of 75 g/h and 15 g/h, respectively. Trend of moisture ratio against time was obtained by polynomial fitting which has satisfactory agreement with available mathematical model.

Keywords: Banana, Indirect Solar Drying, Tray Wise Drying, Experimental Performance.
Scope of the Article: Mechanical Maintenance

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