Volume-8 Issue-2S3, July 2019 – International Journal of Recent Technology and Engineering (IJRTE)

B13040782S319

IJRTE Journal — Wed, 07 Jun 2023 11:33:52 +0000

An Integrated Access to Electricity Price Forecasting using K Means based ANN
Anamika
Anamika, Member IEEE, Department of Electrical & Electronics Engineering, Galgotia College of Engineering and Technology, Greater Noida (Uttar Pradesh), India.
Manuscript received on 25 July 2019 | Revised Manuscript received on 03 August 2019 | Manuscript Published on 10 August 2019 | PP: 1677-1681 | Volume-8 Issue-2S3 July 2019 | Retrieval Number: B13040782S319/2019©BEIESP | DOI: 10.35940/ijrte.B1304.0782S319
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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: Mid-time period strength market Clearing charge (MCP) looking forward to is some days beforehand forecasts for each day facts. It has ended up being vital for better implementation of asset appropriation, making plans, respective contracting and arranging reasons for a strength exhibit. in this paper, an integrated midterm strength MCP estimating version is proposed to foresee the hourly MCPs for an entire month. The proposed model incorporates a k manner bunching module and artificial Neural network (ANN) guaging module. The ok way bunching module is applied to signify the 24 hours of multi day into some gatherings dependent on the closeness in cost. After the association, a Multi Layered Perceptron (MLP) is used to gauge the fee esteems in every one of the gatherings. to check the exactness of the proposed version the imply Absolute percent error (MAPE) and relapse coefficients are resolved for each one of the gatherings. Trial outcomes making use of recorded records from the Indian power Markets showed that the proposed included anticipating version can enhance the expectation exactness of price esteems and ultimately enhance the overall framework exhibitions.
Keywords: Marketplace Clearing Charge, Artificial Neural Networks, ok Method Bunching.
Scope of the Article: Broadband Access Technologies

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B13030782S319

IJRTE Journal — Wed, 07 Jun 2023 11:27:58 +0000

Research on Various Electricity Price Forecasting Techniques for Indian Power Markets
Anamika
Anamika, Member IEEE, Department of Electrical & Electronics Engineering, Galgotia College of Engineering and Technology, Greater Noida (Uttar Pradesh), India.
Manuscript received on 25 July 2019 | Revised Manuscript received on 03 August 2019 | Manuscript Published on 10 August 2019 | PP: 1668-1676 | Volume-8 Issue-2S3 July 2019 | Retrieval Number: B13030782S319/2019©BEIESP | DOI: 10.35940/ijrte.B1303.0782S319
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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: A stable market Clearing rate (MCP) guaging machine is required for the two customers and electricity creators for succesful and worthwhile strength promote execution. This evaluation work predicts the marketplace Clearing fees (MCPs) for the extensive stretches of April, may and June using artificial Neural Networks (ANNs). the obvious charges and needs are accumulated from the Indian strength alternate (IEX) are used as records sources and centers for ANNs in looking ahead to MCPs. The hours with closeness in fees are gathered reliant on affiliation framework and peak-Off peak estimations of fees. Neural Networks are executed autonomously for each social affair to expect MCPs correctly. mean Absolute percentage mistakes (MAPEs) are evaluated to discover the great assembling machine and foreseeing version for Indian power Markets. MAPE effects are confirmed up within the first-class innovative days and the complete month for showing the ampleness of these get-together strategies. the connection amassing system is included because it indicates low MAPE for all instances. This examination offers an estimation to Indian power Markets as for the guaging model to screen and spoil down the instability in strength fees of IEX. this may assist the controllers with defining continuously effective processes on deregulation and modifications when compelling gauge opposition for the duration of strength markets modifications.
Keywords: Indian Electricity Markets, Artificial Neural Networks, Correlation Grouping, Peak and off Peak Grouping.
Scope of the Article: Wireless Power Transmission

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B13020782S319

IJRTE Journal — Wed, 07 Jun 2023 11:22:30 +0000

Waste Management Risks and Opportunities Identification in Malaysia TVET Institution
Rodzidah Mohd Rodzi¹, Zulkifli Mohd Nopiah², Noor Ezlin Ahmad Basri³
¹Rodzidah Mohd Rodzi1, Centre of Engineering Education Research, Faculty of Engineering & Built Environment, National University of Malaysia, UKM Bangi, Selangor, Malaysia.
²Zulkifli Mohd Nopiah, Department of Civil & Structural Engineering, Faculty of Engineering & Built Environment, National University of Malaysia, UKM Bangi, Selangor, Malaysia.
³Noor Ezlin Ahmad Basri, Professor, Department of Civil and Environmental Engineering, Universiti Kebangsaan Malaysia.
Manuscript received on 25 July 2019 | Revised Manuscript received on 03 August 2019 | Manuscript Published on 10 August 2019 | PP: 1665-1667 | Volume-8 Issue-2S3 July 2019 | Retrieval Number: B13020782S319/2019©BEIESP | DOI: 10.35940/ijrte.B1302.0782S319
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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: Rising amount of generated waste is an increasing concern for the future generation potentially at risk. The purpose of this research was to identify the risks and opportunities associated with waste management practices in Malaysia TVET Institution as per requirements under ISO 9001:2015 Clause 6.1. Using Risk-Based Thinking (RBT), Preliminary Risk Assessment (PRA) and SWOT Analysis, this research analyzed the hazardous events of managing Municipal Solid Waste (MSW) and Hazardous Waste (HW). The risks associated with MSW divided into 5 categories; human damage, climate pollution, soil, air and water contamination. Whereas, HW risks US EPA characteristics were ignitable, corrosive, reactive and toxic. The findings presented in Risk Matrix (High, Medium or Low level), revealed that the top ranking risk for MSW was fatal diseases and misplacing SW4 for HW. The research recommended more ground works in RBT application as it involves thorough look at workplace to establish a most-to-least-critical importance ranking.
Keywords: Hazardous Waste, ISO 9001:2015, Municipal Solid Waste, Risk-Based Thinking.
Scope of the Article: Simulation Optimization and Risk Management

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B13010782S319

IJRTE Journal — Wed, 07 Jun 2023 11:12:54 +0000

Emotional Intelligence and Work Performance
Jasleen Kaur¹, Anupam Sharma²

Manuscript received on 25 July 2019 | Revised Manuscript received on 03 August 2019 | Manuscript Published on 10 August 2019 | PP: 1658-1664 | Volume-8 Issue-2S3 July 2019 | Retrieval Number: B13010782S319/2019©BEIESP | DOI: 10.35940/ijrte.B1301.0782S319
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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: Performance of organization employees is very much affected by various work place factors. To complete the assignment within the defined time frame, performance is one of the key skill necessitated. There are numerous of aspects that have impact on the work performance of employees. The main theme of this research revolves around studying factors affecting work performance of employees and to study the influence of emotional intelligence on work performance of employees.
Keywords: Performance, Organization, Employees, Emotional Intelligence.
Scope of the Article: Artificial Intelligence

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B13000782S319

IJRTE Journal — Wed, 07 Jun 2023 11:08:15 +0000

Technical Up-Gradation of Education System: Teacher Focused Learning to Student Focused Learning
Anupam Sharma¹, Aashna Gupta²
¹Dr. Anupam Sharma, Assistant Professor, Thapar Institute of Engineering & Technology (TIET), Patiala (Punjab), India.
²Aashna Gupta, Scholar, Thapar Institute of Engineering & Technology (TIET), Patiala (Punjab), India.
Manuscript received on 25 July 2019 | Revised Manuscript received on 03 August 2019 | Manuscript Published on 10 August 2019 | PP: 1655-1657 | Volume-8 Issue-2S3 July 2019 | Retrieval Number: B13000782S319/2019©BEIESP | DOI: 10.35940/ijrte.B1300.0782S319
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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 professional and academic development of staff has significant contribution in making the education system effective. While student focused learning has been advocated in higher education in recent years, teacher focused learning styles may be still dominant in actual practice in the universities. Stemming from the constructivist sight of learning, a “learnercentered approach” has been encouraged in higher education throughout the last few decades (McCombs & Whistler, 1997; Weimer, 2002; Pillay, 2002)1. In the twenty first century world is undergoing many transitions so as teaching practices too. Learning and lectures delivery activities are also undergoing the process of paradigm shift. This research paper has focused upon determining the need for the change from teacher focused learning (TFL) to student focused learning (SFL). Teacher focused learning has actually emphases on attainment of knowledge outside the framework in which it will be used and Knowledge is communicated from professor to students. On the other hand student focused learning imparts freedom of self-learning to student. By opting this methodology Students have been involved in knowledge construction through data gathering and constructing problem out of solution that’s completely opposite of traditional learning approach where student construct solution out of problem, so synthesizing and blending information inversely and integrating it with the broad-spectrum skills of analysis, statement framing, critical thinking, and finally problem solving. So this teaching pedagogy is leading towards overall development of student.
Keywords: Keywords: Teacher Focused Learning (TFL), Student Focused Learning (SFL), Teaching Pedagogy, Paradigm Shift.
Scope of the Article: Smart Learning and Innovative Education Systems

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B12990782S319

IJRTE Journal — Wed, 07 Jun 2023 11:01:15 +0000

Digital Technology and Quality Management
K K Ramachandran¹, K K Karthick²
¹Dr. K K Ramachandran, Professor, GRD Institute of Management, Coimbatore (Tamil Nadu), India.
²Dr. K K Karthick, Professor, PMR Institute of Technology, Chennai (Tamil Nadu), India.
Manuscript received on 25 July 2019 | Revised Manuscript received on 03 August 2019 | Manuscript Published on 10 August 2019 | PP: 1651-1654 | Volume-8 Issue-2S3 July 2019 | Retrieval Number: B12990782S319/2019©BEIESP | DOI: 10.35940/ijrte.B1299.0782S319
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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 current study address to find out the scenario of digital technology and quality management. The papers explore the sectors for improvement of the existing and creation of new tools, techniques and quality management systems in the light of the development of digital technologies. Awareness about this technology in Chennai district of Tamilnadu. The principles are a set of underlying assumptions about how to view the organization and its relation to customers, competitors and suppliers. Quality management is based on three principles: customer focus, continuous improvement and teamwork. All organizations can have more or less systematic, integrated and proactive approaches to deal with the principles. Accordingly, a quality profile cannot simply be implemented on the basis of the existing management structures and systems. It may require the redesign of work, the redefinition of managerial roles, the redesign of organizational structures, the learning of new skills by employees and the reorientation of organizational goals There are many places which are unaware about technology hence the researcher feels to study on the awareness of Digital Technology and Quality Management in the District of Chennai (Tamil-Nadu).
Keywords: Digital Technology, Quality, Quality Management, Integrated, TQM, Indian Awareness, Sectors, Chennai, etc.
Scope of the Article: Digital System and Logic Design

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B12980782S319

IJRTE Journal — Wed, 07 Jun 2023 10:52:15 +0000

Analysis of Different Coverage and Connectivity Techniques
Bhagwan Sahay Meena
Bhagwan Sahay Meena, Assam University, Silchar (Assam), India.
Manuscript received on 25 July 2019 | Revised Manuscript received on 03 August 2019 | Manuscript Published on 10 August 2019 | PP: 1636-1650 | Volume-8 Issue-2S3 July 2019 | Retrieval Number: B12980782S319/2019©BEIESP | DOI: 10.35940/ijrte.B1298.0782S319
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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: Wireless sensor networks (WSN) comprises of a number of micro nodes known as sensor nodes which have the capability of sensing, data processing and communication. WSNs have the capacity to connect with their environment through sensors, process data and communicate the data with their neighbors. The fundamental issues in wireless sensor network having great impact on WSN are coverage and connectivity. The paper describes the important issues of wireless sensor network, classification of coverage problem. Some strategies of coverage are also described in which various topologies efficient coverage ratio is found in one of them. Some mechanisms are discussed here which reduces cost and also extend network lifetime. The paper also describes the connection between coverage and connectivity and 3D coverage control algorithm.
Keywords: Coverage, Connectivity, Sleep Scheduling Mech Anism, AR-SC Problem.
Scope of the Article: Problem Solving and Planning

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B12970782S319

IJRTE Journal — Wed, 07 Jun 2023 10:45:35 +0000

Attribute-oriented Classification with Variable Importance using Random Forest Model
G. Rama Subba Reddy¹, Shaik Jaffar Hussain², K. Dinesh Kumar³
¹G. Rama Subba Reddy, Department of CSE, Mother Theresa Institute of Engineering & Technology, Palamaner, (Andhra Pradesh), India.
²Shaik Jaffar Hussain, Department of CSE, Annamacharya Institute of Technology and Science, Rajampet, (Andhra Pradesh), India.
³K Dinesh Kumar, SCSE, VIT University, (Tamil Nadu), India.
Manuscript received on 25 July 2019 | Revised Manuscript received on 03 August 2019 | Manuscript Published on 10 August 2019 | PP: 1630-1635 | Volume-8 Issue-2S3 July 2019 | Retrieval Number: B12970782S319/2019©BEIESP | DOI: 10.35940/ijrte.B1297.0782S319
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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 the present century, various classification issues are raised with large data and most commonly used machine learning algorithms are failed in the classification process to get accurate results. Datamining techniques like ensemble, which is made up of individual classifiers for the classification process and to generate the new data as well. Random forest is one of the ensemble supervised machine learning technique and essentially used in numerous machine learning applications such as the classification of text and image data. It is popular since it collects more relevant features such as variable importance measure, Out-of-bag error etc. For the viable learning and classification of random forest, it is required to reduce the number of decision trees (Pruning) in the random forest. In this paper, we have presented systematic overview of random forest algorithm along with its application areas. In addition, we presented a brief review of machine learning algorithm proposed in the recent years. Animal classification is considered as an important problem and most of the recent studies are classifying the animals by taking the image dataset. But, very less work has been done on attribute-oriented animal classification and poses many challenges in the process of extracting the accurate features. We have taken a real-time dataset from the Kaggle to classify the animal by collecting the more relevant features with the help of variable importance measure metric and compared with the other popular machine learning models.
Keywords: Machine Learning, Decision Trees, Random Forests, SVM, Classification.
Scope of the Article: Machine Learning

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B12960782S319

IJRTE Journal — Wed, 07 Jun 2023 10:38:25 +0000

Optimization of Process Parameters for Friction Stir Welding of Dissimilar Aluminium Alloy AA6061 to AA5183 using TOPSIS Technique
Shubham Shukla¹, Himanshu Shukla²
¹Shubham Shukla, Department of Mechanical Engineering, Acropolis Technical Campus Indore (M.P), India.
²Himanshu Shukla, Department of Mechanical Engineering, Acropolis Technical Campus Indore (M.P), India.
Manuscript received on 25 July 2019 | Revised Manuscript received on 03 August 2019 | Manuscript Published on 10 August 2019 | PP: 1625-1629 | Volume-8 Issue-2S3 July 2019 | Retrieval Number: B12960782S319/2019©BEIESP | DOI: 10.35940/ijrte.B1296.0782S319
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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: Friction stir welding has proven to be the most promising solid state joining process. It can be used to get high weldability in joining of high strength aerospace aluminium alloys and other metallic alloys which used to be low with traditional fusion welding process. This paper emphasises on finding the optimum process parameter for friction stir welding of dissimilar aluminium alloy AA6061 to AA5183 using multi criteria decision making method (MCDM). Friction stir welding was done at different tool rotational speed and transverse velocity and mechanical properties such as tensile strength, percentage elongation and hardness were studied for each weld specimen. Finally optimization was done using TOPSIS (Techniqueof Ordered Preference by Similarity to Ideal Solution). The result revealed that the tool rotational speed of 1200 rpm and welding speed of 80mm/min are the optimum welding parameters.
Keywords: Friction Stir welding, TOPSIS, Process Parameter.
Scope of the Article: Manufacturing Processes

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B12950782S319

IJRTE Journal — Wed, 07 Jun 2023 10:26:27 +0000

Potential Jatropha Curcas (Jatropha Curcas L.) Germplasm by Exploration in Gorontalo Province Indonesia
Muhamad Rusliyadi¹, Ratna Tri Kumalasari², Phong Thanh Nguyen³, Wahidah Hashim⁴, Andino Maseleno⁵
¹Muhamad Rusliyadi, Polytechnic of Agricultural Development Yogyakarta-Magelang, Agricultural Extension and Human Resource Development Agency, Ministry of Agriculture, Indonesia.
²Ratna Tri Kumalasari, Agriculture Extension Officer, Agricultural and Food Security Office, Kebumen Regency, Indonesia.
³Phong Thanh Nguyen, Department of Project Management, Ho Chi Minh City Open University (HCMCOU), Vietnam.
⁴Wahidah Hashim, Institute of Informatics and Computing Energy, Universiti Tenaga Nasional, Malaysia.
⁵Andino Maseleno, Institute of Informatics and Computing Energy, Universiti Tenaga Nasional, Malaysia.
Manuscript received on 25 July 2019 | Revised Manuscript received on 03 August 2019 | Manuscript Published on 10 August 2019 | PP: 1617-1624 | Volume-8 Issue-2S3 July 2019 | Retrieval Number: B12950782S319/2019©BEIESP | DOI: 10.35940/ijrte.B1295.0782S319
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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: These day Jatrophacurcas is very popular crop as oil fuel substitution able to repaired so that its availability very required by society. A good seed source is required to support high production Jatrophacurcas in Indonesia. Seeds can be obtained by exploring natural habitat to understand genotypic variability and ecological suitability for Jatrophacurcas production. Activity of this exploration is to know genotype of variability at the same time identify the existence of accession potential of Jatrophacurcas in gorontalo province to be able to support development Jatrophacurcas in Gorontalo province. Exploration executed by collecting, germ plasma documentation and characterizations apart exist in Gorontalo province henceforth evaluate and conservation in Balittas (Indonesian Sweetener and fiber Research Institute) to be used breeding activity. Jatrophacurcas potency in gorontalo province can bear fruit during the year marked with can bear fruit at dry season, long lived long lived potency more than 60 year and there to resilience shading of which is showed ably bearing fruit. Jatrophacurcas local type in Gorontalo there is owning potency to be used upon which plant in supporting Jatrophacurcas development, come from selecting and only preserving crop fulfilling the above mentioned criterion able to be used as by seed plants.
Keywords: Exploration, Seed, Jatropha Curcas, Gorontalo Province.
Scope of the Article: Social Sciences

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