Pub Date : 2020-12-22DOI: 10.37082/ijirmps.2020.v08i06.010
Arun Moyal
{"title":"Modeling and Simulation of Single Phase Grid Connected Photovoltaic System","authors":"Arun Moyal","doi":"10.37082/ijirmps.2020.v08i06.010","DOIUrl":"https://doi.org/10.37082/ijirmps.2020.v08i06.010","url":null,"abstract":"","PeriodicalId":246139,"journal":{"name":"International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134129209","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-19DOI: 10.37082/ijirmps.2020.v08i06.003
S. Reddy, S. Rao, Divyanshu Sharma
: Time series data is considered very useful in the domains of business, finance and economics. Stock market data specifically is generated at high volumes and excessively used for forecasting purposes for gaining wealth. The problem is challenging due to the dynamic nature of stock market fluctuations. Conventional techniques for prediction of next lag of time series data have been successful to an extent with statistical algorithms such as Exponential Smoothing and Autoregressive Integrated Moving Average (ARIMA). With the advent of deep learning architectures and advanced computational processors, we analyze the performance of such techniques for stock market forecasting. The paper presents performance comparison of Exponential Smoothing, ARIMA, Vanilla LSTMs and Stacked LSTM models. The empirical analysis concludes the superior performance of deep learning techniques with RMSE score as low as 3.208 on daily closing price stock data for a period of ten years. Furthermore, we also propose a portfolio optimization method to calculate returns and maintain profits while trading in stock market. The development process should go through relevant data selection, data preprocessing to eliminate noise and missing values to create the prediction model. Study of the right algorithm, accompanied by model assessment. The study presented in this paper uses the LSTM to forecast the stock market exchange activity. The findings indicate that advanced versions of LSTM appear to provide more detailed results than standard algorithms. It can be shown that this paradigm is efficient for both private traders and corporate investors. They will obtain the potential actions of the movement of consumer rates and take the correct decision to make a profit. Different characteristics and facets of the industry should be addressed in future work to make forecasts more reliable. We also plan to use consumer feedback on the product to forecast the market shift.
{"title":"Performance Analysis of Deep Learning and Statistical Models on Enhancing Stock Market Portfolio","authors":"S. Reddy, S. Rao, Divyanshu Sharma","doi":"10.37082/ijirmps.2020.v08i06.003","DOIUrl":"https://doi.org/10.37082/ijirmps.2020.v08i06.003","url":null,"abstract":": Time series data is considered very useful in the domains of business, finance and economics. Stock market data specifically is generated at high volumes and excessively used for forecasting purposes for gaining wealth. The problem is challenging due to the dynamic nature of stock market fluctuations. Conventional techniques for prediction of next lag of time series data have been successful to an extent with statistical algorithms such as Exponential Smoothing and Autoregressive Integrated Moving Average (ARIMA). With the advent of deep learning architectures and advanced computational processors, we analyze the performance of such techniques for stock market forecasting. The paper presents performance comparison of Exponential Smoothing, ARIMA, Vanilla LSTMs and Stacked LSTM models. The empirical analysis concludes the superior performance of deep learning techniques with RMSE score as low as 3.208 on daily closing price stock data for a period of ten years. Furthermore, we also propose a portfolio optimization method to calculate returns and maintain profits while trading in stock market. The development process should go through relevant data selection, data preprocessing to eliminate noise and missing values to create the prediction model. Study of the right algorithm, accompanied by model assessment. The study presented in this paper uses the LSTM to forecast the stock market exchange activity. The findings indicate that advanced versions of LSTM appear to provide more detailed results than standard algorithms. It can be shown that this paradigm is efficient for both private traders and corporate investors. They will obtain the potential actions of the movement of consumer rates and take the correct decision to make a profit. Different characteristics and facets of the industry should be addressed in future work to make forecasts more reliable. We also plan to use consumer feedback on the product to forecast the market shift.","PeriodicalId":246139,"journal":{"name":"International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122096259","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-16DOI: 10.37082/ijirmps.2020.v08i06.009
Hellstrome Young Akuma, M. Arifin
A flying-airboat is a concept of a wing-in-ground (WIG) craft that seeks to take advantage of desirable characteristics within the ground effect, to provide versatile solutions to sea transportation needs in the Southeast Asia region. Previous research has shown that bodies traveling within the ground effect experience an improved lift-to-drag ratio, which translates to significantly better performance. The FAB is a concept that seeks to take advantage of these benefits through a design that facilitates motion entirely within the ground effect. By applying the relevant equations of motion and incorporating various physical design parameters of the concept, a non-linear model can be implemented on the MATLAB/Simulink platform. A simulation of the model shows relative improvements in the performance, response, and stability of the FAB concept subjected to the ground effect as compared to its motion within a free airstream.
{"title":"Equations of Flying-Airboat Control Response Determination Movement Due to the Ground Effect","authors":"Hellstrome Young Akuma, M. Arifin","doi":"10.37082/ijirmps.2020.v08i06.009","DOIUrl":"https://doi.org/10.37082/ijirmps.2020.v08i06.009","url":null,"abstract":"A flying-airboat is a concept of a wing-in-ground (WIG) craft that seeks to take advantage of desirable characteristics within the ground effect, to provide versatile solutions to sea transportation needs in the Southeast Asia region. Previous research has shown that bodies traveling within the ground effect experience an improved lift-to-drag ratio, which translates to significantly better performance. The FAB is a concept that seeks to take advantage of these benefits through a design that facilitates motion entirely within the ground effect. By applying the relevant equations of motion and incorporating various physical design parameters of the concept, a non-linear model can be implemented on the MATLAB/Simulink platform. A simulation of the model shows relative improvements in the performance, response, and stability of the FAB concept subjected to the ground effect as compared to its motion within a free airstream.","PeriodicalId":246139,"journal":{"name":"International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121574505","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-12DOI: 10.37082/IJIRMPS.2020.V08I06.008
Sachi Pandey
Advancement in the technologies has led to increment in the massive amount of data that massive amount of generated data has to be secured in such way that third party should not be able to take control over them The online platforms such as face book which has large number of users are the main sources of generating large amount of data ,each users activity on the internet is being captured in one or the other ways, security of network has become a great challenge in this modern era. Hence it has become very important to build an effective intrusion detection system. We have implemented a compressive survey of some of the major machine learning techniques based on Naïve Bays Classifier, K Nearest Neighbors Classifier, Decision Tree Classifier and the Logistic Regression in this paper.
{"title":"Novel Approach for Network Intrusion Detection using Machine Learning","authors":"Sachi Pandey","doi":"10.37082/IJIRMPS.2020.V08I06.008","DOIUrl":"https://doi.org/10.37082/IJIRMPS.2020.V08I06.008","url":null,"abstract":"Advancement in the technologies has led to increment in the massive amount of data that massive amount of generated data has to be secured in such way that third party should not be able to take control over them The online platforms such as face book which has large number of users are the main sources of generating large amount of data ,each users activity on the internet is being captured in one or the other ways, security of network has become a great challenge in this modern era. Hence it has become very important to build an effective intrusion detection system. We have implemented a compressive survey of some of the major machine learning techniques based on Naïve Bays Classifier, K Nearest Neighbors Classifier, Decision Tree Classifier and the Logistic Regression in this paper.","PeriodicalId":246139,"journal":{"name":"International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122117611","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-07DOI: 10.37082/ijirmps.2020.v08i06.005
A. Mahmoud, Omer Osman
: In today's competitive business environment, business entities are faced with greater uncertainties (threats and opportunities) as they strive to create value. In the quake of the current global economic crisis, businesses in a bid to stay competitive have taken several crucial measures. However, for companies to keep track of their strategies, achieve their strategic objectives and reduce the impact of uncertainties, appropriate decisions should be made with a solution that reduces the impact of risks. Technical reports from companies showed that there is deviation from their original strategic plan tracks, and they are unable to achieve their strategic objectives. A preliminary study was conducted to identify the factors that lead to inefficiencies during strategic plan implementation. The result of the preliminary study showed that there is lack of risk management, especially information and incentive alignment risks. This research aims to propose a framework that mitigates risks during strategy implementation, through how the key choices made in strategy will either increase or reduce two characteristic types of risk (information and incentive alignment risks). These two types of risk (which are not mentioned in depth in other or past types of risk management categories) are the key inefficiency creators in the strategic planning and decision making that arise because of decision patterns. The proposed framework considers how to question the key decisions and how to turn inefficiencies into opportunities and points of power to create value. The proposed framework also presents essential fundamental concepts and enablers for achieving sustainable performance such as developing organizational capability, creative thinking, innovation, agility, succeeding through people and sustained outstanding results. The framework presents a mechanism to identify and assess the information and incentive alignment risks in the key decisions. The developed framework helps to reinvent desired strategic performance which lies in changing how decisions are made .
{"title":"Integrated Framework To Mitigate Risks During Strategy Implementation","authors":"A. Mahmoud, Omer Osman","doi":"10.37082/ijirmps.2020.v08i06.005","DOIUrl":"https://doi.org/10.37082/ijirmps.2020.v08i06.005","url":null,"abstract":": In today's competitive business environment, business entities are faced with greater uncertainties (threats and opportunities) as they strive to create value. In the quake of the current global economic crisis, businesses in a bid to stay competitive have taken several crucial measures. However, for companies to keep track of their strategies, achieve their strategic objectives and reduce the impact of uncertainties, appropriate decisions should be made with a solution that reduces the impact of risks. Technical reports from companies showed that there is deviation from their original strategic plan tracks, and they are unable to achieve their strategic objectives. A preliminary study was conducted to identify the factors that lead to inefficiencies during strategic plan implementation. The result of the preliminary study showed that there is lack of risk management, especially information and incentive alignment risks. This research aims to propose a framework that mitigates risks during strategy implementation, through how the key choices made in strategy will either increase or reduce two characteristic types of risk (information and incentive alignment risks). These two types of risk (which are not mentioned in depth in other or past types of risk management categories) are the key inefficiency creators in the strategic planning and decision making that arise because of decision patterns. The proposed framework considers how to question the key decisions and how to turn inefficiencies into opportunities and points of power to create value. The proposed framework also presents essential fundamental concepts and enablers for achieving sustainable performance such as developing organizational capability, creative thinking, innovation, agility, succeeding through people and sustained outstanding results. The framework presents a mechanism to identify and assess the information and incentive alignment risks in the key decisions. The developed framework helps to reinvent desired strategic performance which lies in changing how decisions are made .","PeriodicalId":246139,"journal":{"name":"International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126604597","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-10-20DOI: 10.37082/IJIRMPS.2020.V08I05.006
S. Agaja, B. Ajibade, A. Nwaezeapu, A. Igbinosun
This study evaluated the performance of selected solar photovoltaic (PV) projects installed by Federal and State government intervention agencies in Delta State, Nigeria. Thirty projects were studied, these projects were selected from Delta North, Central and South Senatorial Districts. The data for this study was obtained by using a structured questionnaire and field inspection. The data was statistically analysed using Kruskal-Wallis test at 5% and two-sample Ttest. The results of the field inspection revealed that the performance of the installed solar PV projects is significantly different (P> 0.05) between the two government agencies. There are number of factors that affects solar PV system performance in Delta State, Nigeria, these include; high cost, poor awareness, theft/ insecurity, poor maintenance and lack of technical manpower. Practical steps and measures that can promote better performance (installation, operation and maintenance) of solar PV system as a clean and sustainable source of energy in Delta State are also discussed.
{"title":"Study on the Performance of Selected Solar Photovoltaic Systems Installed by Government Intervention Agencies in Delta State, Nigeria","authors":"S. Agaja, B. Ajibade, A. Nwaezeapu, A. Igbinosun","doi":"10.37082/IJIRMPS.2020.V08I05.006","DOIUrl":"https://doi.org/10.37082/IJIRMPS.2020.V08I05.006","url":null,"abstract":"This study evaluated the performance of selected solar photovoltaic (PV) projects installed by Federal and State government intervention agencies in Delta State, Nigeria. Thirty projects were studied, these projects were selected from Delta North, Central and South Senatorial Districts. The data for this study was obtained by using a structured questionnaire and field inspection. The data was statistically analysed using Kruskal-Wallis test at 5% and two-sample Ttest. The results of the field inspection revealed that the performance of the installed solar PV projects is significantly different (P> 0.05) between the two government agencies. There are number of factors that affects solar PV system performance in Delta State, Nigeria, these include; high cost, poor awareness, theft/ insecurity, poor maintenance and lack of technical manpower. Practical steps and measures that can promote better performance (installation, operation and maintenance) of solar PV system as a clean and sustainable source of energy in Delta State are also discussed.","PeriodicalId":246139,"journal":{"name":"International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131732750","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-10-09DOI: 10.37082/ijirmps.2020.v08i05.005
P. Kumari, R. Singh
: The present research work is an attempt made of to measure water. Quality of Ganga river at hajipur, Bihar. Physico-Chemical status of the Ganga river were conducted during Nov.2017 to Oct 2019. On the basis of present study some parameters like temp., pH, TDS, Turbidity, Conductivity & Do are carried out in present research work. The result revealed well defined monthly variation. The whole river, at hajipur is getting polluted due to intense human activity.
{"title":"Rapid Assessment of Monthly Variation of Physicochemical Status in the Ganga River, Hajipur, Bihar","authors":"P. Kumari, R. Singh","doi":"10.37082/ijirmps.2020.v08i05.005","DOIUrl":"https://doi.org/10.37082/ijirmps.2020.v08i05.005","url":null,"abstract":": The present research work is an attempt made of to measure water. Quality of Ganga river at hajipur, Bihar. Physico-Chemical status of the Ganga river were conducted during Nov.2017 to Oct 2019. On the basis of present study some parameters like temp., pH, TDS, Turbidity, Conductivity & Do are carried out in present research work. The result revealed well defined monthly variation. The whole river, at hajipur is getting polluted due to intense human activity.","PeriodicalId":246139,"journal":{"name":"International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130625812","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-10-06DOI: 10.37082/ijirmps.2020.v08i05.004
K. Supian, E. Tanius, Rohaiza Mohamad Idaris
: Industrial Revolution 4.0 (IR4.0) has become the main issue and gain interest nationally and globally. The most affected of IR 4.0 is employment, particularly to the new graduates. The employment opportunity becomes condensed, and the requirement of the job changes dramatically. Hence, this study aimed to investigate the correlation between the new graduate knowledge, skill, technology, and readiness to be employed in IR 4.0. The core factors that contributed to the readiness for employment in 4.0 are also recognized. This study's participant is 255 students from two universities, one in public and the other from the private university using an online survey. Meanwhile, descriptive statistics, correlation, and multiple regressions use to analyze the data. The result indicated that technology and soft skills contributed to the readiness to employ in IR 4.0. However, the respondents agreed that they were a deficiency in using technology in their study. Additionally, the readiness was parallel in all of the universities. Finally, the result proposed that university and government as policymakers need to embed the IR 4.0 knowledge, skill, and technology used in the teaching and learning to ensure the graduates ready to enter the labor market.
{"title":"The Malaysian Graduate Readiness to be Employed in IR 4.0","authors":"K. Supian, E. Tanius, Rohaiza Mohamad Idaris","doi":"10.37082/ijirmps.2020.v08i05.004","DOIUrl":"https://doi.org/10.37082/ijirmps.2020.v08i05.004","url":null,"abstract":": Industrial Revolution 4.0 (IR4.0) has become the main issue and gain interest nationally and globally. The most affected of IR 4.0 is employment, particularly to the new graduates. The employment opportunity becomes condensed, and the requirement of the job changes dramatically. Hence, this study aimed to investigate the correlation between the new graduate knowledge, skill, technology, and readiness to be employed in IR 4.0. The core factors that contributed to the readiness for employment in 4.0 are also recognized. This study's participant is 255 students from two universities, one in public and the other from the private university using an online survey. Meanwhile, descriptive statistics, correlation, and multiple regressions use to analyze the data. The result indicated that technology and soft skills contributed to the readiness to employ in IR 4.0. However, the respondents agreed that they were a deficiency in using technology in their study. Additionally, the readiness was parallel in all of the universities. Finally, the result proposed that university and government as policymakers need to embed the IR 4.0 knowledge, skill, and technology used in the teaching and learning to ensure the graduates ready to enter the labor market.","PeriodicalId":246139,"journal":{"name":"International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127071595","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-08-25DOI: 10.37082/ijirmps.2020.v08i04.004
Tiago F Alwes de Olivei
It is winding up clear, not minimum from the pages of this distribution, that lithe advancement strategies are being embraced or possibly considered by a developing number of programming improvement groups and associations. Regardless of whether you are as of now a functioning specialist coordinated advancement, or thinking about its appropriation on your venture, you will know about the business benefits that can be determined through quicker and increasingly powerful programming conveyance also the persuasive effect it can have on improvement groups[1]. On the other hand, possibly you work for a substantial association that presently cannot seem to make any genuine advances into dexterous improvement and are left considering how deftness could be made to chip away at a vast scale. In case you're in the last camp, or regardless of whether you are not effectively thinking about spry improvement in that capacity but rather are attempting to convey expansive and/or complex projects utilizing customary methodologies and wishing there was a superior way, at that point you are most likely where British Telecom (BT) wound up in 2004. [2]That was previously the landing in the organization of another CIO who methodically started supplanting the organization's long-standing cascadebased conveyance forms with one that encapsulated the key standards of nimble conveyance. This article shows a review of the methodology taken by BT, outlining how light-footed advancement standards can be connected effectively at the venture level. Obviously, the methodology taken by BT is not for the timid – it has incorporated a high level of hazard, and surely a great deal of torment. Presently very much into its second year be that as it may, even though the change is a long way from finish, it is as of now paying profits.
{"title":"An Agile Methodology at Telecommunications Morpho","authors":"Tiago F Alwes de Olivei","doi":"10.37082/ijirmps.2020.v08i04.004","DOIUrl":"https://doi.org/10.37082/ijirmps.2020.v08i04.004","url":null,"abstract":"It is winding up clear, not minimum from the pages of this distribution, that lithe advancement strategies are being embraced or possibly considered by a developing number of programming improvement groups and associations. Regardless of whether you are as of now a functioning specialist coordinated advancement, or thinking about its appropriation on your venture, you will know about the business benefits that can be determined through quicker and increasingly powerful programming conveyance also the persuasive effect it can have on improvement groups[1]. On the other hand, possibly you work for a substantial association that presently cannot seem to make any genuine advances into dexterous improvement and are left considering how deftness could be made to chip away at a vast scale. In case you're in the last camp, or regardless of whether you are not effectively thinking about spry improvement in that capacity but rather are attempting to convey expansive and/or complex projects utilizing customary methodologies and wishing there was a superior way, at that point you are most likely where British Telecom (BT) wound up in 2004. [2]That was previously the landing in the organization of another CIO who methodically started supplanting the organization's long-standing cascadebased conveyance forms with one that encapsulated the key standards of nimble conveyance. This article shows a review of the methodology taken by BT, outlining how light-footed advancement standards can be connected effectively at the venture level. Obviously, the methodology taken by BT is not for the timid – it has incorporated a high level of hazard, and surely a great deal of torment. Presently very much into its second year be that as it may, even though the change is a long way from finish, it is as of now paying profits.","PeriodicalId":246139,"journal":{"name":"International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121867548","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-06-28DOI: 10.37082/ijirmps.2020.v08i03.005
Farhan Banu
This paper is concerned with Minimum Spanning Tree problem, a fundamental problem of Network modeling. Here we have proposed a novel approach to determine minimum spanning tree of an undirected connected network which is also demonstrated with numerical example.
{"title":"Matrix Method for Determining Minimum Spanning Tree","authors":"Farhan Banu","doi":"10.37082/ijirmps.2020.v08i03.005","DOIUrl":"https://doi.org/10.37082/ijirmps.2020.v08i03.005","url":null,"abstract":"This paper is concerned with Minimum Spanning Tree problem, a fundamental problem of Network modeling. Here we have proposed a novel approach to determine minimum spanning tree of an undirected connected network which is also demonstrated with numerical example.","PeriodicalId":246139,"journal":{"name":"International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125977684","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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