Volume-9 Issue-1, May 2020 – International Journal of Recent Technology and Engineering (IJRTE) https://www.ijrte.org Exploring Innovation | ISSN:2277-3878(Online) | A Periodical Journal | Reg. No.: C/819981 | Published By BEIESP Sat, 14 May 2022 08:52:41 +0000 en-US hourly 1 https://www.ijrte.org/wp-content/uploads/2021/02/cropped-IJRTE-Logo-WS-32x32.png Volume-9 Issue-1, May 2020 – International Journal of Recent Technology and Engineering (IJRTE) https://www.ijrte.org 32 32 D8553118419 https://www.ijrte.org/portfolio-item/d8553118419/ https://www.ijrte.org/portfolio-item/d8553118419/#respond Fri, 11 Feb 2022 03:35:19 +0000 https://www.ijrte.org/?post_type=portfolio&p=9750 The post D8553118419 appeared first on International Journal of Recent Technology and Engineering (IJRTE).

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Simulation of Photovoltaic based DC-DC Converter Topologies
Richa Khera1, Anita Khosla2, Dheeraj Joshi3
1Richa Khera*, EEE department ,Faculty of Engineering & Technology Manav Rachna International institute of Research & Studies, Faridabad , India.
2Anita Khosla, EEE department, Faculty of Engineering & Technology Manav Rachna International institute of Research & Studies, Faridabad.
3Dheeraj Joshi , EE department, Delhi Technological University, Delhi, India.
Manuscript received on February 10, 2020. | Revised Manuscript received on February 20, 2020. | Manuscript published on March 30, 2020. | PP: 2032-2036 | Volume-8 Issue-6, March 2020. | Retrieval Number: D8553118419/2020©BEIESP | DOI: 10.35940/ijrte.D8553.038620
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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: Due to the depletion in the fossil fuel there is the major requirement of using other sources of energy. This concern has lead to the use of sources such solar energy, wind energy ,fuel cell etc. Power electronics is gaining popularity due to reduced cost and awareness in the society regarding the green environment .DC-DC Converters are required to convert the supply according to load demand .In this paper advancement in the topologies of DC-DC Converter is discussed and implemented using power sim environment. Photovoltiac system is used as the source. To extort utmost power from photovoltaic systems, utmost power point technique is used . Different topologies such as Buck ,Boost, Buck-Boost ,cuk ,zeta using solar as input are implemented and compared in this paper. as each topology has different complexities, efficiency. the work is carried using Psim.
Keywords: Photo Voltiace System, Buck, Boost, Buck- Boost, Cuk, zeta converter..
Scope of the Article: Digital Clone or Simulation.

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Geometric Tolerance Applications and Analysis Method in Rotational Mechanical Components
K. Jafri1, R. Rizauddin2, A. H. Azman3
1K. Jafri*, PhD student, Universiti Kebangsaan Malaysia.
2R. Ramli, PhD in Gifu University Japan.
3A. H. Azman, PhD from Univ. Grenoble Alpes, France.
Manuscript received on February 10, 2020. | Revised Manuscript received on February 20, 2020. | Manuscript published on March 30, 2020. | PP: 1366-1379 | Volume-8 Issue-6, March 2020. | Retrieval Number: F7715038620/2020©BEIESP | DOI: 10.35940/ijrte.F7715.038620
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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: This paper focus a review on geometrical tolerance application and effects in rotational mechanical components. In today’s rapid competition on pump and turbomachinery industry the geometrical tolerancing process plays a significant role in high rotational speed of shaft. The imbalance force and misalignment of the shaft during rotating is the cause of the system’s vibration. Therefore, Geometrical Dimensioning and Tolerance (GD&T) has been considered as an essential requirement to be fulfilled by rotating machinery manufacturers and assembly worker. The impact and the level of damage to critical parts of the machine were reviewed as a benchmark for further study to reduce the problem and improve the life time component. As a result, there are extensive researches such as optimisation of tolerance for mechanical components in rotating machinery.
Keywords: Geometrical Dimensioning and Tolerance (GD&T), Rotational Component, Geometric tolerances, Unbalanced Rotors, Shaft Misalignment.
Scope of the Article: Mechanical Design.

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“The Impact of Shadow Banks on the Commercial Bank Lending in India with Reference to the Housing Finance Sector.”
Sreelakshmi P1, Nidhiparpiani2
1Dr Sreelakshmi P, Assistant Professor – Finance in Institute of Management, CHRIST (Deemed to be University).
2Ms. Nidhi Parpiani, Ms. Nidhi is an MBA in Finance and is a research scholar at Christ University.
Manuscript received on January 12, 2020. | Revised Manuscript received on January 30, 2020. | Manuscript published on March 30, 2020. | PP: 51-58 | Volume-8 Issue-6, March 2020. | Retrieval Number: F7133038620/2020©BEIESP | DOI: 10.35940/ijrte.F7133.038620
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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: Significant variations of bank profitability in Indian commercial banks during the period 2009-2018 motivated the critical need to study the impact of shadow banking on the profitability of commercial banks in India. Shadow banking is defined as any institution that offer bank like activities but not regulated as banks. These institutions seem to be on the rise in India thus this research considered to investigate their implications to traditional banks’ profitability. The secondary data in this analysis covered a period of 10years from 2009 to 2018. The multiple linear panel regression model for the bank profitability measures; Return on Asset (ROA), was used as a dependent variable to analyze the data. Shadow banking ratios, variables were used as independent variables in the model. To measure if the loans given by banks to housing sector decreased as a result of housing finance companies, the net aggregate of loans disbursed by banks to housing sector and net aggregate of loans disbursed by housing finance companies were recorded for the past 5 years and significant analysis was made accordingly looking at the data .Shadow banking ratios were derived from monetary aggregates data that is M3, total bank loans and total bank deposits. Regression results indicated that Shadow banking only completes the banking system and has no significant impact on loans of the commercial banks in the Housing Finance sector.
Keywords: Shadow Banking, Monetary policy, Money aggregates
Scope of the Article: Residential, Commercial, Industrial and Public Works

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Machine Learning Algorithms for Detection of Parkinson’s Disease using Motor Symptoms: Speech and Tremor
Neharika D Bala1, Anusuya S2
1Neharika D Bala, Student, Information Technology, Saveetha Institue of Medical and Technical Sciences, Saveetha University, Chennai, India.
2Anusuya S, Professor and Head, Information Technology, Saveetha Institue of Medical and Technical Sciences, Saveetha University, Chennai, India.
Manuscript received on January 12, 2020. | Revised Manuscript received on January 30, 2020. | Manuscript published on March 30, 2020. | PP: 47-50 | Volume-8 Issue-6, March 2020. | Retrieval Number: F7129038620/2020©BEIESP | DOI: 10.35940/ijrte.F7129.038620
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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: Generally, the diseases are classified into communicable and non-communicable. The communicable disease is that, which can be spread easily from humans to humans while non-communicable disease does not spread. In this paper, we discuss about Parkinson’s disease and its analysis using machine learning algorithms. The analysis of data is done using supervised machine learning approach. This paper concentrates and briefs about various supervised learning algorithms and its analysis.
Keywords: Prediction Rate, Death Rate, Support Vector Machine, Data Analysis.
Scope of the Article: Machine Learning

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Collation of Decision Support System (DSS) Models used for Bid Decisions in Construction Industry
B. S. Mandanna1, B. R. K. Holla2
1B. S. Mandanna- PG Research Student in Manipal Institute of Technology of Manipal Academy of Higher Education (MAHE), Manipal, Karnataka, India.
2Dr. B. R. K. Holla- Assistant Professor-Selection Grade in Manipal Institute of Technology of Manipal Academy of Higher Education (MAHE), Manipal, Karnataka, India.
Manuscript received on January 12, 2020. | Revised Manuscript received on January 30, 2020. | Manuscript published on March 30, 2020. | PP: 11-22 | Volume-8 Issue-6, March 2020. | Retrieval Number: F6981038620/2020©BEIESP | DOI: 10.35940/ijrte.F6981.038620
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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 past researches on key elements responsible for the successful completion of the project showed the importance of assessment and accounting of various types of risks during the bid decision process. If the contractor invests his productive time in only those projects which are meeting the organization’s goals and targets, then the chances of submitting a competitive bid is more. In order to select such appropriate projects, the measure of the effect of numerous factors on bid decision is essential. This research highlights the numerous reasons that influences the bid decisions of contractors and the contribution of these factors towards the construction of Decision Support System Models (DSS). In order to identify the factors influencing the bid decisions, past literature studies were conducted and a strong focus was given to methods such as questionnaire survey, structured and semi-structured interviews were used. The construction of the models was done after taking the opinions of contractors. From the past research it can be noted that the main factors such as client’s financial capability, contractor’s financial capability, past experience of the contractors in similar projects etc., were considered across the globe. This complex and dynamic nature of bid decision making demands a robust decision support system which can be implemented collectively at least in a construction industry within a country. Moreover, the bid decision is more of subjective in nature. So, addressing this with only quantitative models which considers past bid data, recently applied strategy etc., may not be adequate to forecast the dynamic phenomenon. This strongly proposes the requirement for development of a Qualitative model to take care of subjective decision-making situation.
Keywords: Decision Support System (DSS), Bid or No-Bid decisions, Qualitative Models, Construction Industry.
Scope of the Article: Construction Engineering

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Exploring Research and Innovation in Engineering Education: The Case of a South African University
Kehdinga George Fomunyam
Dr. Kehdinga George Formunyam, Teaching and Learning Development Center, Mangosuthu University of Technology, South Africa.
Manuscript received on May 02, 2020. | Revised Manuscript received on May 21, 2020. | Manuscript published on May 30, 2020. | PP: 2813-2817 | Volume-9 Issue-1, May 2020. | Retrieval Number: A1569059120/2020©BEIESP | DOI: 10.35940/ijrte.A1569.059120
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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: There has been increase in the global population and this comes with the need to have a rethink to sustain economic growth. Research and innovation is an identified avenue which encompasses several fields of science and technology, such as engineering, social sciences, humanities, and natural sciences. This study explored research and innovation in engineering education using a South African University as a case study. University of Pretoria was chosen for the case study because this institution ranks highly among others in engineering discipline. Findings from the study reveal that in a world shaped by a high degree of complexity, fluidity and uncertainty, there is a dire need for research and innovation.. To explore Research and innovation in engineering education at this university, data was gathered using the right keywords, and a total of 57 thesis and dissertation were downloaded and categorized for this study. The categorization was done using keywords and concepts in the research topics to ensure uniformity. From the categorization, seven themes were drawn which are project management, intelligence and leadership, emerging technologies in pedagogy, engineering systems and product design, heat and energy, innovation and knowledge, entrepreneurship and career. The study concludes that increasing investment in research innovation remains a vital option to ensure growth and economic increase. Thus, creating a conducive atmosphere for the conduct of the discipline and increasing funding for research and development along that line is paramoun.
Keywords: Research, innovation, engineering, engineering education, South Africa, case study.
Scope of the Article: Reverse Engineering

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Changes in the Uneven Indexes of Sliver and Threads by Different Technological Processes
M.R.Atanafasov1, T.A.Ochilov2, R.X.Norboev3, M.A.Mansurova4, D.A.Khalmatov5
1Assistent Atanafasov Muxiddin Raxmonovich, Faculty Technology of light industry and Design, Tashkent Institute of Textile and Light Industry, Tashkent, Uzbekistan
2Prof. Ochilov Tulkin Ashurovich, Faculty Technology of light industry and design, Tashkent Institute of Textile and Light Industry, Uzbekistan
3Prof. Nurbayev Rashit Xudayberdiyevich, Faculty of textile and leather industry, Bukhara engineering technological institute, Uzbekistan
4Prof. Mansurova Munisa Anvarovna, Faculty Technology of light industry and Design, Tashkent Institute of Textile and Light Industry, Tashkent, Uzbekistan
5Prof. Khalmatov Davronbek Abdalimovich, The faculty of technology of printing, Tashkent Institute of Textile and Light Industry, Tashkent, Uzbekistan.
Manuscript received on May 02, 2020. | Revised Manuscript received on May 21, 2020. | Manuscript published on May 30, 2020. | PP: 2809-2812 | Volume-9 Issue-1, May 2020. | Retrieval Number: A2274059120/2020©BEIESP | DOI: 10.35940/ijrte.A2274.059120
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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 article describes information about textile yarn with texture 20.0, which was obtained from the cotton yarn samples in the laboratory of “Spinning Technology” of the Tashkent Institute of Textile and Light Industry at the cotton processing plant in Akkurgan district of Tashkent region. Worked out in three different options, firstly, raw cotton was converted into fiber in the laboratory of the mill, and the quality indicators of the obtained sliver, wick and thread were studied in the modern equipment of the Uster Tester-5 in the Enterprise” Shovot tex”, and were also studied the physic-mechanical properties of the threads in the laboratory” CentexUz” and proposed an optimal variant of the technological process for release.
Keywords: Thickness, durability, uniformity, ripeness, hollowness, rope irregularity, linear and quadratic inequality.
Scope of the Article: Design and Diagnosis

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Design and Development of Hydraulic Rescue Cylinder for Cutting and Spreading
Fazidah binti Saad1, Muhammad Amir Arsyad2, Pranesh Krishnan3
1Fazidah binti Saad*, Head of Section (Innovation), Malaysian Spanish Institute Universiti Kuala Lumpur, Kulim Hi-Tech Park, Kulim, Kedah, Malaysia.
2Muhammad Amir Arsyad, Student, Bachelor of Engineering Technology in Mechanical Design, Malaysian Spanish Institute Universiti Kuala Lumpur. Kulim Hi-Tech Park, Kulim, Kedah, Malaysia.
3Pranesh Krishnan, Intelligent Automotive Systems Research Cluster, Electrical Electronic and Automation Section, Malaysian Spanish Institute Universiti Kuala Lumpur, Kulim Hi-Tech Park, Kulim, Kedah, Malaysia. 
Manuscript received on May 02, 2020. | Revised Manuscript received on May 21, 2020. | Manuscript published on May 30, 2020. | PP: 2804-2808 | Volume-9 Issue-1, May 2020. | Retrieval Number: D7415118419/2020©BEIESP | DOI: 10.35940/ijrte.D7415.059120
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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 design and development of this hydraulic rescue cylinder are one of two parts that can attach with hydraulic rescue jaw to form a rescue tool which can easily cut and spreading metals. This study will improvise most of the existing hydraulic rescue cylinder that is heavy and difficult to use by developing a new hydraulic cylinder using mild steel with design calculations. In developing this hydraulic cylinder, the area of the cylinder barrel must be first considered. The concept idea of this project was based on a hydraulic double-acting operation that can extend and retract a piston rod. Selected material of this project was mild steel, and a study about its mechanical properties have been done. The hydraulic rescue cylinder also has been testing its operation in extending and retracting piston rod. The simulation analysis of this product also has been done by using Abaqus CAE for static analysis and Solidworks 2016 software for motion study and analysis of the product. Result achieved from this analysis are that is best in term of value of deformation, maximum elasticity and factor of safety of this project. Thus, the recorded result can use for further study and future recommendation.
Keywords: Hydraulic, Rescue, Cutting, Spreading.
Scope of the Article: Design Optimization of Structures

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Land Cover Change Detection using M-Siamese Network
G. Charan Dinesh1, MD. Razzaq2, A. Raghavendra Rao3, K. Srinivas4
1G.Charan Dinesh, Department of CSE, VR Siddhartha Engineering College, Vijayawada, India.
2MD.Razzaq, Department of CSE, VR Siddhartha Engineering College, Vijayawada, India.
3A.Raghavendra Rao, Department of CSE, VR Siddhartha Engineering college, Vijayawada, India.
4K.srinivas, Department of CSE, VR Siddhartha Engineering College, Vijayawada, India.
Manuscript received on May 02, 2020. | Revised Manuscript received on May 21, 2020. | Manuscript published on May 30, 2020. | PP: 2800-2803 | Volume-9 Issue-1, May 2020. | Retrieval Number: A3031059120/2020©BEIESP | DOI: 10.35940/ijrte.A3031.059120
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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: Land cover change detection has been a topic of active research in the remote sensing community. Due to enormous amount of data available from satellites. The land cover change detection has often been performed by comparing two or more satellite snapshot images acquired on different time period. The image comparison techniques have a number of limitations. The traditional Convolution Neural Network (CNN) method has several problems, such as the weak generalization ability of the model and the difficulty of automating the construction of a training database. These methods generally have high land mapping accuracy but they are time-consuming, laborious, poor repeatability. When compared to the previous models such as U net, we will get more accuracy and also time consumption is minimum, by using this proposed approach. In this paper we will be Siamese so it is named as M-Siamese. To overcome the problem, we had used Siamese network in M-Siamese. The Siamese network is improved Accuracy and Enhanced Flexibility. In this paper we are using M-Siamese network which is effective than the previous Siamese networks. By using this type we will acquire more accuracy than that of previous networks. Finally, we had concluded the change of land cover in percentage.
Keywords: Land Cover Change detection; Convolution Neural Network (CNN); M-Siamese; U net.
Scope of the Article: Convolution Neural Network

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The Strategy of Increased Competitiveness and Development Potential in the Region for the Well Being of Community: An Empirical of Oyster Mushroom Industry in Karanganyar, Central Java, Indonesia
Dora Kusumastuti1, Dewi Saptantinah PA2, Merkuria Karyantina3
1Dora Kusumastuti, Faculty of Law, Slamet Riyadi University of Surakarta, Central Java, Indonesia.
2Dewi Saptantinah PA,Faculty of Economic, Slamet Riyadi University, Surakarta, Central Java, Indonesia.
3Merkuria Karyantina,Faculty of Food Technology and Industry, Slamet Riyadi University, Surakarta, Central Java, Indonesia.
Manuscript received on May 02, 2020. | Revised Manuscript received on May 21, 2020. | Manuscript published on May 30, 2020. | PP: 2795-2799 | Volume-9 Issue-1, May 2020. | Retrieval Number: F7807038620/2020©BEIESP | DOI: 10.35940/ijrte.F7807.059120
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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: Based on the potential of region in Indonesia, each region has a potential flagship industries. Oyster mushroom as one of them of potential in Karanganyar. There is potential that could be developed into an industry so that it is able to improve the welfare of society. In an effort to become Oyster Mushrooms cultivation industry flagship Karanganyar required factor conditions, demand conditions, related and supporting industries, and firm strategy, structure and rivalry so that the oyster mushroom industry be the industry is able to compete.This research is a case study of cultivation of mushrooms, which are descriptive. The object of this research is on the oyster mushroom cultivation in the village of Ngijo, Karanganyar Regency as well as the development of innovative product petrol. The reason for this is because object uses this business originated from trying later evolved and been running 3 (three) years but wanted to create a product variant, so that businessmen need to consider the feasibility of its business worth developed or not.Based on the analysis of the industrial development efforts of oyster mushroom oyster mushroom chips into products quite feasible and innovative as well as provide significant advantages. Practical Implications: Product innovation to make oyster mushrooms that are expected to be received by consumers is the addition of cassava flour white (20%) as to the characteristics of coatings, moisture (1.625%), grey levels (1.622%), levels of protein (16,598%), fat (5,172%), and a score sensory analysis (1,87), yellowish color ( (3,07 fungi), crisp (4,13) and enjoyment the whole 3,80 (like).The research strategy is the done to increase competitiveness and in the development of potential for peoples welfare (study oyster mushroom industry, Karan ganyar, Central Java, Indonesia), as applied research and was conducted in object was first.
Keywords: Oyster mushrooms, chips business feasibility, innovative.
Scope of the Article: Recent Trends & Developments in Computer Networks

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