Volume-9 Issue-5, January 2021 – International Journal of Recent Technology and Engineering (IJRTE)

D4738119420

IJRTE Journal — Tue, 11 Jan 2022 06:09:30 +0000

Information and Digital Technologies in the Field of Ecology, Environmental Protection and Biological Resources During the Pandemic
Narzullaev Olim Khomamatovich
Narzullaev Olim Khomamatovich, Associate Professor, Department of Environmental Law, Candidate of Legal Sciences, Tashkent State University of Law, Tashkent, Uzbekistan.

Manuscript received on October 06, 2020. | Revised Manuscript received on October 25, 2020. | Manuscript published on November 30, 2020. | PP: 24-29 | Volume-9 Issue-4, November 2020. | Retrieval Number: 100.1/ijrte.D4738119420 | DOI: 10.35940/ijrte.D4738.119420
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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 presents suggestions and comments on the development of new legislation based on new definitions, improvement of regulatory legal acts and their analysis related to the use of biological resources for scientific purposes and ensuring biological safety. The author analyzes important issues that further develop the theory of environmental law in the field of protection and use of biological resources. On issues related to the use and protection of biological resources, analytical information will be provided on the establishment and effective functioning of scientific institutions, their legal status, biological threats and biological safety.It is argued that biosecurity is an important branch of national security. The role of the environment, the importance of international regulation of the use of genetically modified organisms (GMOs) and their by-products are studied , and a number of environmental legal recommendations related to the COVID-19 pandemic are proposed. The author analyzes digitalization in the field of ecology, As the system of environmental monitoring is an urgent problem that has not yet been solved in the world. Its functionality consists in the accumulation, systematization and analysis of information: about the state of the environment, the causes of changes in the state, the sources and factors of impact, for which the author offers his suggestions.
Keywords: Digitalization, System, Monitoring, Information: Environment, Biodiversity, Biological Resources, Genetics, Biosafety, COVID-19 pans.e.

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E5301019521

IJRTE Journal — Tue, 11 Jan 2022 05:35:05 +0000

Comparative Analysis of a Performance of Metaheuristic Algorithms in Solving Optimal Power Flow Problems with UPFC Device in the Transmission System
Kottala Padma¹, Yeshitela Shiferaw Maru²
¹K.Padma, Assistant Professor Department Of Electrical Engineering, AU College of Engineering, Visakhapatnam, A.P, India.
²Yeshitela Shiferaw Maru, Currently a Ph.D. Candidate, Andhra University, Visakhapatnam, India.
Manuscript received on January 23, 2021. Revised | Manuscript received on February 04, 2021. | Manuscript published on January 30, 2021. | PP: 316-326 | Volume-9 Issue-5, January 2021. | Retrieval Number: 100.1/ijrte.E5301019521 | DOI: 10.35940/ijrte.E5301.019521
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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: Incremental industrialization and urbanization is the cause of enhanced energy use as it increases the building of new lines and more inductive loads. As a result, the transmission system losses increased, and the magnitudes of voltage profile values deviated from the stated value, resulting in increased cost of active power generation. To mitigate these issues, adequate reactive power compensation in the transmission line and bus systems should be done. Reactive power is regulated by the proper position of the Flexible AC Transmission System (FACTS). Unified Power Flow Controller (UPFC) is a voltage converter system that increases the voltage profile and reduces loss. In this paper, the optimal power flow solution is considered using a FACTS device based on Multi Population Modified Jaya (MPMJ) optimization algorithm. Using the Analytical Hierarchy Process (AHP) system, the optimal position of the UPFC device is determined by considering the most useful objective function provided by priorities and weighting factors. Therefore, on the standard IEEE-57 bus test system, the proposed MPMJ optimization algorithm is implemented with UPFC for optimal fuel cost values of generation, real power loss, voltage deviation and sum of squared voltage stability index. The result obtained by the proposed algorithm is contrasted with the recent literature algorithm.
Keywords: Analytical Hierarchy Process, Meta-heuristic algorithm, MPMJ, Optimal Power Flow, UPFC.

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E5278019521

IJRTE Journal — Tue, 11 Jan 2022 05:31:02 +0000

Experimental Analysis of Solar Assisted Refrigerating Electric Vehicle
Surender Kumar¹, Rabinder Singh Bharj²
¹Surender Kumar, Research Scholar, Mechanical Engineering Department, National Institute of Technology, Jalandhar (Punjab), India.
²Dr. R.S. Bharj*, Associate Professor, Mechanical Engineering Department, National Institute of Technology, Jalandhar (Punjab), India.
Manuscript received on January 18, 2021. | Revised Manuscript received on February 03, 2021. | Manuscript published on January 30, 2021. | PP: 305-315 | Volume-9 Issue-5, January 2021. | Retrieval Number: 100.1/ijrte.E5278019521 | DOI: 10.35940/ijrte.E5278.019521
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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: Most refrigerating systems are driven by an internal combustion engine that increased the conventional vehicle’s oil consumption and tailpipe emissions. The solar-assisted refrigerating electric vehicle (SAREV) system powered by a hybrid energy mode has been designed. The hybrid energy (solar + grid) was stored in the battery bank to complete this vehicle’s necessary functions. The PV panels are prominently incorporated into this vehicle rooftop to charge the battery bank. In this study, the integrated system was driven by a hybrid energy mode that reducing the wastage and deterioration during temporary storage and transportation in different areas. The performance of the integrated system was tested under different operating conditions. The effect of load variation on maximum speed and travelling distance of vehicle was analyzed. The battery bank charging and discharge performance were studied with and without solar energy. The refrigerator was consuming 116 Wh energy per day to maintain a -12 oC lower temperature on the no-load condition at the higher thermostat position. The refrigerator was run continuously for 4-6 days on battery bank energy and 7-10 days on the full load condition of hybrid energy. The vehicle was travelling at a maximum of 23 km/h speed on full load condition. The vehicle needed torque 14-16 N-m at the initial phase for each load condition. Torque demand was decreasing with the increasing speed of the vehicle. The full-charged battery bank’s initial voltage was 51.04 V, and the cut-off voltage was 46.51 V. The vehicle was covering a distance of 62.4 km with the battery bank alone at full load condition. It was travelling 68.3 km distance with hybrid energy mode. The vehicle’s integrated system was the best in maintaining battery performance, power contribution capability, and drive range enhancement.
Keywords: Photovoltaic (PV) module, Maximum power point tracking, Refrigerated electric vehicle (REV) performance, Energy consumption.

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E5303019521

IJRTE Journal — Tue, 11 Jan 2022 05:26:49 +0000

Mechanical Properties and Durability of PET waste Aggregates in Roof Tiles Production
Omosebi Taiwo O, Noor Faisal Abas²
¹Omosebi Taiwo O, School of Housing, Building and Planning, Universiti Sains Malaysia.
²Noor Faisal Abas, School of Housing, Building and Planning, Universiti Sains Malaysia.
Manuscript received on January 21, 2021. | Revised Manuscript received on January 29, 2021. | Manuscript published on January 30, 2021. | PP: 300-304 | Volume-9 Issue-5, January 2021. | Retrieval Number: 100.1/ijrte.E5303019521 | DOI: 10.35940/ijrte.E5303.019521
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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: Managing plastic waste is a global challenge that challenges the protection of our ecosystem due to its high rate of generation and its non-biodegradability. PWs must, however, be carefully handled to mitigate the emissions involved with their incineration and dumping into landfills. Plastic waste can be recycled into new usable building materials. In this analysis, shredded PET waste aggregate from a recycling center was heated at 230 0C and used as a binding aggregate incomplete replacement of cement with river sand to produce floor tiles. The properties of the aggregate materials and roof tiles (including their distribution of particle size, silt, clay and dust content, relative density, water absorption, porosity, flexural and compressive strength) were tested on different PET waste: sand mixing ratio, 100%, 90%, 70%, 50%, and 30%. Results revealed that the tiles produced by 30% PET and 70% river sand (3:7) achieved higher density, flexural and compressive strength than the other percentages of the mixture. The compressive strength of the tiles produced with 30 percent PET waste composition was greater than that of cement concrete (at 28 days of curing) for residential buildings. As a result of this low water absorption and eco-friendliness, PET waste can be used for roof tiles at 30 percent PET substitution based on the test results.
Keywords: Plastic wastes; Pollution; Aggregates; Recycling.

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E5289019521

IJRTE Journal — Tue, 11 Jan 2022 05:21:57 +0000

The Influence of Robotic Process Automation (RPA) towards Employee Acceptance
Dahlia Fernandez¹, Aini Aman²
¹Dahlia Fernandez, Lecturer, Universiti Tun Hussein Onn, Malaysia.
²Aini Aman, Lecturer, Universiti Tun Hussein Onn, Malaysia.
Manuscript received on January 19, 2021. | Revised Manuscript received on January 26, 2021. | Manuscript published on January 30, 2021. | PP: 295-299 | Volume-9 Issue-5, January 2021. | Retrieval Number: 100.1/ijrte.E5289019521 | DOI: 10.35940/ijrte.E5289.019521
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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 are various organizations that have automated the technology used in accounting and financial services to increase productivity and optimize operating costs. Among the automation technology transformations used in accounting and financial services is Robotic Process Automation (RPA). However, not all technological transformations are positive because they may cause fear among employees due to changes in the work process. Hence, the aim of this study is to understand the influence of RPA towards employee acceptance in the finance and accounting unit. This study uses an in-depth case study approach in one of the largest oil and gas company in the world. The result of the study showed that RPA technology has significant influences on employee acceptance. The results are discussed according to five elements which are threatening job opportunities, changes in the scope of work, adaptation to technology, career advancement, work-life balance, and job satisfaction. The results showed that employees must adapt with the changes due to the new technology implementation and embrace it positively because at the end of the day, new automation will always appear. Furthermore, the changes that take place must be openly accepted in order to maintain the reputation of their profession as well as the achievements of the organization.
Keywords: Robotic Process Automation, automation technology, finance, accounting, technophobe.

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F5322039621

IJRTE Journal — Tue, 11 Jan 2022 05:16:55 +0000

Land use and Land Cover Characteristics using Bhuvan and MODIS Satellite Data
Sanjay Shekar N C¹, Hemalatha H N²
¹Dr. Sanjay Shekar N C*, Associate Professor, Department of Civil Engineering, JSS Academy of Technical Education, Bangalore, India.
²Dr. Hemalatha H N, Assistant Professor, Department of Civil Engineering, JSS Academy of Technical Education, Bangalore, India.
Manuscript received on January 27, 2021. | Revised Manuscript received on February 03, 2021. | Manuscript published on January 30, 2021. | PP: 289-294 | Volume-9 Issue-5, January 2021. | Retrieval Number: 100.1/ijrte.F5322039621 | DOI: 10.35940/ijrte.F5322.019521
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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: Understanding vegetation characteristics is essential for watershed modeling, like in the prediction of streamflow and evapotranspiration (AET) estimation. So, the present study was taken to analyze the Land use/Land cover characteristics in a Sub-humid tropical river basin which is originating in the forested part of Western Ghats mountain ranges using the Moderate Resolution Imaging Spectroradiometer (MODIS) and Bhuvan satellite data as inputs for the algorithm. All the fourteen LU/LC characteristics present in the Hemavathi basin (5427 km2) were analyzed in the basin using satellite data which is located in Karnataka, India. Land Surface Reflectance (LSR) and Land Surface Temperature (LST) were the two data products used as input to map the pixel-wise variations in albedo, the fraction of vegetation (FV) and Land Surface Temperature (LST). It was found from the rainfall data that the year 2019 experienced higher rainfall than the average and 2012 very low rainfall than the normal. Parameters considered in this study Albedo, LST and FV are susceptible to wetness and temperature conditions. Variations in albedo and LST were similar in that both values in the summer of 2019 and 2012 are high than winter due to the high temperature and less wetness from all the LU/LC classes. Similarly, FV variations show opposite trends that values in the summer of 2019 and 2012 are low than in winter, which is due to the high temperature and less wetness. The results and discussions show that significant realistic variations in albedo, LST and FV with respect to all LU/LC classes. All the LU/LC classes characteristics in this study show significant variations with respect to wetness and temperature conditions, so the methodology proposed in this study can be used in regional monitoring of LU/LC classes in a convenient and cost-effective manner.
Keywords: LU/LC characteristics, MODIS, land surface temperature, land surface reflectance, fraction of vegetation, albedo.

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F5318039621

IJRTE Journal — Tue, 11 Jan 2022 05:11:56 +0000

FEM Based Electric Potential Distribution Analysis of Porcelain Insulator using MATLAB PDE tool
B Mallikarjuna¹, K N Ravi², V Muralidhara³, N Vasudev⁴
¹B Mallikarjuna, Research Scholar, Jain ( Deemed to be University), Bengaluru, Karnataka, India.
²K N Ravi, Prof and Head, Dept of EEE, Sapthagiri College of Engineering, Bengaluru, India.
³V Muralidhara, Professor, Dept of EEE, BNM Institute of Technology, Bengaluru, Karnataka, India.
⁴N Vasudev, Additional Director (Retd), CPRI, Bengaluru, Karnataka, India.
Manuscript received on January 27, 2021. | Revised Manuscript received on February 02, 2021. | Manuscript published on January 30, 2021. | PP: 285-288 | Volume-9 Issue-5, January 2021. | Retrieval Number: 100.1/ijrte.E5206019521 | DOI: 10.35940/ijrte.F5318.019521
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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: In high voltage transmission porcelain materials are important one. To mount the transmission line on a transmission tower we need an insulation material. Many literatures deal about the silicon and rubber-based insulators. In this paper the porcelain is modelled as FEM model using the PDE tool and electric potential distribution is analyzed. the PDE tool come in handy to draw the shape of the insulator. In this paper the straight shed and alternate shed insulators are analyzed with the MATLAB PDE tool and results are analyzed. then using some random water droplets in the insulator, the impact is observed.
Keywords: Porcelain Insulator, Partial Differential Equation, Finite Element Method, Potential Distribution Analysis.

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F5308039621

IJRTE Journal — Tue, 11 Jan 2022 04:56:40 +0000

Dynamic Alumni Monitoring with Decision Support System
Marifel Grace Capili-Kummer¹, Maria Leodevina Corpuz-Batugal²
¹Dr. Marifel Grace Capili-Kummer, Dean, School of Information Technology & Engineering Coordinator, Doctor in Information Technology Program St. Paul University Philippines.
²Maria Leodevina C. Batugal, Professor in the Graduate School and in the School of Techer Education, and a Quality Assurance Officer in St. Paul University Philippines.
Manuscript received on January 23, 2021. | Revised Manuscript received on February 01, 2021. | Manuscript published on January 30, 2021. | PP: 279-284 | Volume-9 Issue-5, January 2021. | Retrieval Number: 100.1/ijrte.F5308039621 | DOI: 10.35940/ijrte.F5308.019521
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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 present study focuses on gathering a real-time data on the employability of graduates. The web-based Dynamic Alumni Monitoring with Decision Support System is developed and linked to the institution’s website to gather alumni information. To realize the objective of this study, the agile method research design process is utilized. The agile methodology is a project management technique in software development process. The system has the capacity to monitor the graduates. It provides alumni verifications and confirmation after the pre-registration. The system has a platform in maintaining alumni data and notifications to periodically update the graduates’ profiles anytime and anywhere. The system has the capacity to make updates concerning alumni activities of the University. These are sent through their registered email addresses. Likewise, the system generates important reports needed by the school and its administrators.
Keywords: Alumni, Alumni Monitoring System, Employability Skills, Decision Support System, Graduate Employability.

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E5304019521

IJRTE Journal — Tue, 11 Jan 2022 04:52:21 +0000

Multi-Kernel Learning based Sugar Industry Load Forecasting
Yamanappa Doddamani¹, Ravindra R Malagi², U C Kapale³
¹Yamanappa. N. Doddamani,* Research Scholar, Visvesvaraya Technical University, Belagavi, , Karnataka, India.
²Ravindra R Malagi, Research Scholar, Visvesvaraya Technical University, Belagavi, , Karnataka, India.
³U C Kapale, Research Scholar, Visvesvaraya Technical University, Belagavi, , Karnataka, India.
Manuscript received on January 22, 2021. | Revised Manuscript received on January 31, 2021. | Manuscript published on January 30, 2021. | PP: 275-278 | Volume-9 Issue-5, January 2021. | Retrieval Number: 100.1/ijrte.E5304019521 | DOI: 10.35940/ijrte.E5304.019521
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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: Sugar industry which plans for power usage from Bagasse also needs the load forecasting carried out using the energy audit data. The stochastic nature of the load demand of the sugar industry needs to be forecasted in advance for the assuring uninterrupted power delivery to the industry. The manual energy audit data obtained from the sugar industry for a period of time is obtained and trained on a regression based on Multi Kernel Learning (MKL). The Support Vector Regression (SVR) formulation is applied with the Multi Kernel topology and the performance parameters including the Absolute Error (MAE), Mean Absolute Percentage Error (MAPE) is observed in the implementation. The algorithm is the Multi Kernel Support Vector Regression algorithm using the Python based toolbox.
Keywords: Multi Kernel Learning, Support Vector Regression, Load Forecasting, Sugar Industry Energy Audit.

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E5298019521

IJRTE Journal — Tue, 11 Jan 2022 04:46:40 +0000

From Prediction of the Improvement of the Quality towards an Equitable Sharing of the Cost of the Improvement between Business Processes
Jaouad Maqboul¹, Bouchaib Bounabat²
¹Jaouad Maqboul, Head of Software Engineering Department, Avenue Mohamed Ben Abdellah Regragui, Rabat, Morocco.
²Bouchaib Bounabat, Head of Software Engineering Department, Avenue Mohamed Ben Abdellah Regragui, Rabat, Morocco.
Manuscript received on January 21, 2021. | Revised Manuscript received on January 27, 2021. | Manuscript published on January 30, 2021. | PP: 268-274 | Volume-9 Issue-5, January 2021. | Retrieval Number: 100.1/ijrte.E5298019521 | DOI: 10.35940/ijrte.E5298.019521
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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: In this work we have developed a quality approach for the quality assessment of data related to the business process for quality projects, this approach uses the cost of the implementation of quality combined with the impact of quality broken down into the benefit and efficiency of data, shapley value helps us choose the business processes that will collaborate to reduce the cost of improvement, Deep learning helps us calculate the quality values for any dimension based on history of previous improvements. To reach our goal, we used the cost-benefit approach (ACB) and the cost-effective approach (ACE) to extract the impact and cost factors then using a multi-optimization algorithm. -objective we will minimize the cost and maximize the impact for each business process and the deep learning introduced will complement our approach to learn from the previous improvements after validation of the processes which will be chosen as well as the values calculated after improvement. The importance of this research lies in the use of impact factors and the cost of the quality evaluation which represent the basis of any improvement, our approach uses generic multi-objective optimization algorithms which will help choose the minimum value of each business process before the improvement, adding a layer of predicting and estimating the quality value of the data generated by the business process before the improvement even, while the value of shapley has aim to minimize the cost of quality projects during fission and merger of companies and even within a company composed of several services and departments to have the lowest possible total cost to help companies manage the portfolios of quality.
Keywords: Artificial neural network, data quality assessment, data quality improvement, deep learning, prediction of improvement in data completeness shapley value.

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