Matrix structure was one of the most important devices for finding data from big data. Here you’ll find data produced by current applications using cloud computing. However, moving big data using such a system in a performance computer or through virtual machines is still inefficient or impossible. Furthermore, big data is often gathered data from a variety of data sources and stored on a variety of machines using scheduling algorithms. As a result, such data usually bear solid shifted commotion. Growing circulated matrix deterioration is necessary and beneficial for big data analysis. Such a plan should have a good chance of succeeding. Represent the diverse clamor and deal with the correspondence problem in a disseminated manner. In order to do this, we used a Bayesian matrix decay model (DBMD) for big data mining and grouping. Only three approaches to disseminated computation are considered: 1) accelerate slope drop, 2) alternating path method of multipliers (ADMM), and 3) observable derivation. We look at how these approaches could be mixed together in the future. To deal with the commotion’s heterogeneity, we suggest an ideal module weighted norm that reduces the assessment’s differentiation. Finally, a comparison was made between these approaches in order to understand the differences in their outcomes.
{"title":"A Novel Dbmd Implementation for Big Data Mining and Clustering Via Cloud Computing","authors":"A. Vaitheeswari, N. Krishnaveni","doi":"10.51201/JUSST/21/05205","DOIUrl":"https://doi.org/10.51201/JUSST/21/05205","url":null,"abstract":"Matrix structure was one of the most important devices for finding data from big data. Here you’ll find data produced by current applications using cloud computing. However, moving big data using such a system in a performance computer or through virtual machines is still inefficient or impossible. Furthermore, big data is often gathered data from a variety of data sources and stored on a variety of machines using scheduling algorithms. As a result, such data usually bear solid shifted commotion. Growing circulated matrix deterioration is necessary and beneficial for big data analysis. Such a plan should have a good chance of succeeding. Represent the diverse clamor and deal with the correspondence problem in a disseminated manner. In order to do this, we used a Bayesian matrix decay model (DBMD) for big data mining and grouping. Only three approaches to disseminated computation are considered: 1) accelerate slope drop, 2) alternating path method of multipliers (ADMM), and 3) observable derivation. We look at how these approaches could be mixed together in the future. To deal with the commotion’s heterogeneity, we suggest an ideal module weighted norm that reduces the assessment’s differentiation. Finally, a comparison was made between these approaches in order to understand the differences in their outcomes.","PeriodicalId":17520,"journal":{"name":"Journal of the University of Shanghai for Science and Technology","volume":"28 1","pages":"29-35"},"PeriodicalIF":0.0,"publicationDate":"2021-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78733277","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}
Soil temperature and humidity straight away influence plant growth and the availability of plant nutrients. In this work, we carried out experiments to identify the relationship between climatic parameters and plant nutrients. When the relative humidity was very high, deficiency symptoms were shown on plant leaves and fruits. But, recognizing and managing these plant nutrients manually would become difficult. However, no much research has been done in this field. The main objective of this research was to propose a machine learning model to manage nutrient deficiencies in the plant. There were two main phases in the proposed research. In the first phase, the humidity, temperature, and soil moisture in the greenhouse environment were collected using WSN and the influence of these parameters on the growth of plants was studied. During experimentation, it was investigated that the transpiration rate decreased significantly and the macronutrient contents in the plant leave decreased when the humidity was 95%. In the second phase, a machine learning model was developed to identify and classify nutrient deficiency symptoms in a tomato plant. A total of 880 images were collected from Bingo images to form a dataset. Among all these images, 80% (704 images) of the dataset were used to train the machine learning model and 20% (176 images) of the dataset were used for testing the model performance. In this study, we selected K-means Clustering for keypoints detection and SVM for classification and prediction of nutrient stress in the plant. SVM using linear kernel performed better with the accuracy rates of 89.77 % as compared to SVM using a polynomial kernel.
{"title":"A Study of Factors Influencing Plant Growth by WSN Approach and Plant Nutrient Deficiency Classification in Tomato Using SVM","authors":"Vrunda Kusanur, V. S. Chakravarthi","doi":"10.51201/JUSST/21/05213","DOIUrl":"https://doi.org/10.51201/JUSST/21/05213","url":null,"abstract":"Soil temperature and humidity straight away influence plant growth and the availability of plant nutrients. In this work, we carried out experiments to identify the relationship between climatic parameters and plant nutrients. When the relative humidity was very high, deficiency symptoms were shown on plant leaves and fruits. But, recognizing and managing these plant nutrients manually would become difficult. However, no much research has been done in this field. The main objective of this research was to propose a machine learning model to manage nutrient deficiencies in the plant. There were two main phases in the proposed research. In the first phase, the humidity, temperature, and soil moisture in the greenhouse environment were collected using WSN and the influence of these parameters on the growth of plants was studied. During experimentation, it was investigated that the transpiration rate decreased significantly and the macronutrient contents in the plant leave decreased when the humidity was 95%. In the second phase, a machine learning model was developed to identify and classify nutrient deficiency symptoms in a tomato plant. A total of 880 images were collected from Bingo images to form a dataset. Among all these images, 80% (704 images) of the dataset were used to train the machine learning model and 20% (176 images) of the dataset were used for testing the model performance. In this study, we selected K-means Clustering for keypoints detection and SVM for classification and prediction of nutrient stress in the plant. SVM using linear kernel performed better with the accuracy rates of 89.77 % as compared to SVM using a polynomial kernel.","PeriodicalId":17520,"journal":{"name":"Journal of the University of Shanghai for Science and Technology","volume":"16 3 1","pages":"36-46"},"PeriodicalIF":0.0,"publicationDate":"2021-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87081526","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}
K Gunalan, A JesilRibaBharathi, N MadhuShree, C. Ezhilarasi, R LeenaPriyadharshini
Batteries play a vital role in Electrical Vehicles (EV). In a battery pack, voltage differences always exist due to charging and discharging cycles. It leads to an imbalance in the State of Charge (SoC) of Li-Ion battery packs. State of charge is the level of charge of an electric battery relative to its capacity. The voltage imbalances lead to the degradation of the cells by reducing their life span and usage time. Thus, a balancing circuit is necessary to maintain the same voltage level in all the cells. Also, a reconfiguration of the battery cells depending on their SoC levels and the requirement of the load can increase the usage time and life span of a battery pack. In this paper, a circuit for reconfiguration and active equalization is proposed based on a coupled inductor and switch network which can dynamically transfer charge from the cells with higher voltage to the ones with lower voltage while simultaneously delivering the load. Thus, the SoC of the cells can be balanced with an advantage of the coupled inductor ensuring faster equalization time than other balancing techniques.
{"title":"An Enhanced Active Balancing Circuit with Reconfigurable Battery for Electric Vehicles","authors":"K Gunalan, A JesilRibaBharathi, N MadhuShree, C. Ezhilarasi, R LeenaPriyadharshini","doi":"10.51201/JUSST/21/05210","DOIUrl":"https://doi.org/10.51201/JUSST/21/05210","url":null,"abstract":"Batteries play a vital role in Electrical Vehicles (EV). In a battery pack, voltage differences always exist due to charging and discharging cycles. It leads to an imbalance in the State of Charge (SoC) of Li-Ion battery packs. State of charge is the level of charge of an electric battery relative to its capacity. The voltage imbalances lead to the degradation of the cells by reducing their life span and usage time. Thus, a balancing circuit is necessary to maintain the same voltage level in all the cells. Also, a reconfiguration of the battery cells depending on their SoC levels and the requirement of the load can increase the usage time and life span of a battery pack. In this paper, a circuit for reconfiguration and active equalization is proposed based on a coupled inductor and switch network which can dynamically transfer charge from the cells with higher voltage to the ones with lower voltage while simultaneously delivering the load. Thus, the SoC of the cells can be balanced with an advantage of the coupled inductor ensuring faster equalization time than other balancing techniques.","PeriodicalId":17520,"journal":{"name":"Journal of the University of Shanghai for Science and Technology","volume":"1 1","pages":"762-775"},"PeriodicalIF":0.0,"publicationDate":"2021-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82796246","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}
Cowlesite is a Calcium Aluminum silicate CaAl2Si3O106H2O which formed under the hydrothermal conditions of low temperature (1800C) and pressure (1.013250bar). Cowlesite minerals are known for their peculiar occurrence. Synthesis of Cowlesite mineral was carried by suitable stoichiometric composition. Hydrothermal synthesized Cowlesite mineral was characterized by XRD, SEM, and EDAX. It crystallized in the orthorhombic system and a lattice parameter a=23.22Å, b=30.58Å, c=25.01Å, Volume of Unit cell=17758.79Å3, α=β=γ=900. EDAX results show the elemental concentration of raw material which was used.
{"title":"Synthesis and Characterization of Calcium Zeolite-Cowlesite.","authors":"M. Abhijit, B. Kumar","doi":"10.51201/JUSST/21/05216","DOIUrl":"https://doi.org/10.51201/JUSST/21/05216","url":null,"abstract":"Cowlesite is a Calcium Aluminum silicate CaAl2Si3O106H2O which formed under the hydrothermal conditions of low temperature (1800C) and pressure (1.013250bar). Cowlesite minerals are known for their peculiar occurrence. Synthesis of Cowlesite mineral was carried by suitable stoichiometric composition. Hydrothermal synthesized Cowlesite mineral was characterized by XRD, SEM, and EDAX. It crystallized in the orthorhombic system and a lattice parameter a=23.22Å, b=30.58Å, c=25.01Å, Volume of Unit cell=17758.79Å3, α=β=γ=900. EDAX results show the elemental concentration of raw material which was used.","PeriodicalId":17520,"journal":{"name":"Journal of the University of Shanghai for Science and Technology","volume":"29 1","pages":"787-790"},"PeriodicalIF":0.0,"publicationDate":"2021-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84403974","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}
Blockchain have been a fascinating exploration region for quite a while and the advantages it gives have been utilized by various different ventures. Additionally, the medical services area stands to profit tremendously from the blockchain innovation because of safety, securityand decentralization. In any case, the Electronic Health Record (EHR) frameworks deal with issues in regards to information security, uprightness and the executives. In the proposed work,to communicate approximately how the blockchain innovation can be applied to alternate the EHR frameworks and solution of those issues. To propose a system that can be applied for the execution of blockchain innovation in scientific offerings location for EHR. The factor of our proposed system is first and to execute blockchain innovation for EHR and moreover to provide stable ability of digital information with the aid of using characterizing granular get right of entry to regulations for the customers. Besides, this system examines the flexibility problem seemed with the aid of using the blockchain innovation average through usage of off-chain stockpiling of the information. This structure offers the benefits of getting an adaptable, stable and vital blockchain-primarily based totally association with usage of PoW (Proof of Work) Algorithm.
{"title":"Secure Storage and Access Scheme for E-Medical Records Using Block Chain Environment","authors":"A Sonya, S. Jeevitha, M. Vaishnavi","doi":"10.51201/JUSST/21/05211","DOIUrl":"https://doi.org/10.51201/JUSST/21/05211","url":null,"abstract":"Blockchain have been a fascinating exploration region for quite a while and the advantages it gives have been utilized by various different ventures. Additionally, the medical services area stands to profit tremendously from the blockchain innovation because of safety, securityand decentralization. In any case, the Electronic Health Record (EHR) frameworks deal with issues in regards to information security, uprightness and the executives. In the proposed work,to communicate approximately how the blockchain innovation can be applied to alternate the EHR frameworks and solution of those issues. To propose a system that can be applied for the execution of blockchain innovation in scientific offerings location for EHR. The factor of our proposed system is first and to execute blockchain innovation for EHR and moreover to provide stable ability of digital information with the aid of using characterizing granular get right of entry to regulations for the customers. Besides, this system examines the flexibility problem seemed with the aid of using the blockchain innovation average through usage of off-chain stockpiling of the information. This structure offers the benefits of getting an adaptable, stable and vital blockchain-primarily based totally association with usage of PoW (Proof of Work) Algorithm.","PeriodicalId":17520,"journal":{"name":"Journal of the University of Shanghai for Science and Technology","volume":"38 1","pages":"776-786"},"PeriodicalIF":0.0,"publicationDate":"2021-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80137290","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}
Sewage whether treated or untreated, ultimately discharge in lakes, rivers, streams, and oceans. We consider groundwater as pure, but unfortunately, sewage is one of the major reason behind wastewater associated diseases. Nearly 78% of the water flows back to the environment without any treatment. This can lead to a numerous health and environmental problems so it is better to treat wastewater before disposal and further proper management can help in meeting the public’s water demand. As per today’s scenario, number of innovations are required to operate treatment plant at high efficiency because of increasing domestic, commercial, and industrial waste. And this rise is taking place due to several reasons – urbanization, increasing population, economic development, and improved living conditions etc. Nowadays people of both urban and peri-urban areas are using waste water to irrigate their crops, often because they do not have any alternate source of irrigation water. New technologies are continuously being introduced in sewage treatment plant to exhibit good performance. The paper focuses on reviewing the various sewage treatment methods and their results.
{"title":"An Overview of Performance Evaluation of Sewage Treatment Plant","authors":"Ankit Ankit, S. Singh","doi":"10.51201/JUSST/21/04238","DOIUrl":"https://doi.org/10.51201/JUSST/21/04238","url":null,"abstract":"Sewage whether treated or untreated, ultimately discharge in lakes, rivers, streams, and oceans. We consider groundwater as pure, but unfortunately, sewage is one of the major reason behind wastewater associated diseases. Nearly 78% of the water flows back to the environment without any treatment. This can lead to a numerous health and environmental problems so it is better to treat wastewater before disposal and further proper management can help in meeting the public’s water demand. As per today’s scenario, number of innovations are required to operate treatment plant at high efficiency because of increasing domestic, commercial, and industrial waste. And this rise is taking place due to several reasons – urbanization, increasing population, economic development, and improved living conditions etc. Nowadays people of both urban and peri-urban areas are using waste water to irrigate their crops, often because they do not have any alternate source of irrigation water. New technologies are continuously being introduced in sewage treatment plant to exhibit good performance. The paper focuses on reviewing the various sewage treatment methods and their results.","PeriodicalId":17520,"journal":{"name":"Journal of the University of Shanghai for Science and Technology","volume":"80 1","pages":"306-316"},"PeriodicalIF":0.0,"publicationDate":"2021-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83399913","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}
Magnesium-based composite materials play an important role in aerospace and automobile industries because of their low density, stiffness & high specific strength. These hybrid composite materials were needed to increase the strength, surface finish, machinability, corrosion resistance, etc. To address such a problem this work has been focused on the preparation of magnesium-based metal matrix composite materials AZ91C reinforced with the B4C with two different proportions which are prepared by using the casting process. For the characterization of the prepared Mg-based MMCs, various tests like tensile test and hardness test have been performed on three model sample specimens of namely AZ91C(100%)+B4C(0%). AZ91C(98%)+B4C(2%) And AZ91C(96%)+B4C(4%). It was found that the compressive strength is and hardness is decreased due to the addition of the B4C to the matrix alloy AZ91C while tensile strength is increased. The tensile strength is increased by 15.58% with the addition of 4% B4C when compared with 2% of B4C and also hardness is increased by 31.49%. The compressive strength is decreased by 41.43% with the addition of 4% B4C when compared with 2% of B4C.
{"title":"EXPERIMENTAL INVESTIGATION ON MECHANICAL BEHAVIOUR OF AZ91C METAL MATRIX COMPOSITE REINFORCED WITH B4C","authors":"N. J. Krishna, D. Nagaraju","doi":"10.51201/JUSST/21/05178","DOIUrl":"https://doi.org/10.51201/JUSST/21/05178","url":null,"abstract":"Magnesium-based composite materials play an important role in aerospace and automobile industries because of their low density, stiffness & high specific strength. These hybrid composite materials were needed to increase the strength, surface finish, machinability, corrosion resistance, etc. To address such a problem this work has been focused on the preparation of magnesium-based metal matrix composite materials AZ91C reinforced with the B4C with two different proportions which are prepared by using the casting process. For the characterization of the prepared Mg-based MMCs, various tests like tensile test and hardness test have been performed on three model sample specimens of namely AZ91C(100%)+B4C(0%). AZ91C(98%)+B4C(2%) And AZ91C(96%)+B4C(4%). It was found that the compressive strength is and hardness is decreased due to the addition of the B4C to the matrix alloy AZ91C while tensile strength is increased. The tensile strength is increased by 15.58% with the addition of 4% B4C when compared with 2% of B4C and also hardness is increased by 31.49%. The compressive strength is decreased by 41.43% with the addition of 4% B4C when compared with 2% of B4C.","PeriodicalId":17520,"journal":{"name":"Journal of the University of Shanghai for Science and Technology","volume":"70 1","pages":"611-617"},"PeriodicalIF":0.0,"publicationDate":"2021-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86331570","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}
The COVID-19 pandemic has drastically changed the way od of learning. During this pandemic the learning has shifted from offline to online. student’s performance prediction based on their relevant information has emerged new area for educational institutions for improving teaching learning process, changes in course curriculum. Machine leaning technology can be helpful in predicting the performance of student and accordingly the institutions can make required changes in in their lecture delivery and curriculum. This paper utilized some machine learning methodologies to predict the students’ performance. Educational data of open University(OU) is analysed Based on parameters that are demographic, engagement and performance. In the experimental analysis. In the experimental analysis, the k-NN approach performed best in some cases and ANN performed best in other cases among all compared algorithms on OU dataset.
{"title":"Prediction of Students’ Performance in e-Learning Environment using Data Mining/ Machine Learning Techniques","authors":"Brijesh K. Verma, Nidhi Srivastava, H. Singh","doi":"10.51201/JUSST/21/05179","DOIUrl":"https://doi.org/10.51201/JUSST/21/05179","url":null,"abstract":"The COVID-19 pandemic has drastically changed the way od of learning. During this pandemic the learning has shifted from offline to online. student’s performance prediction based on their relevant information has emerged new area for educational institutions for improving teaching learning process, changes in course curriculum. Machine leaning technology can be helpful in predicting the performance of student and accordingly the institutions can make required changes in in their lecture delivery and curriculum. This paper utilized some machine learning methodologies to predict the students’ performance. Educational data of open University(OU) is analysed Based on parameters that are demographic, engagement and performance. In the experimental analysis. In the experimental analysis, the k-NN approach performed best in some cases and ANN performed best in other cases among all compared algorithms on OU dataset.","PeriodicalId":17520,"journal":{"name":"Journal of the University of Shanghai for Science and Technology","volume":"31 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90824668","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}
This study presents sinkhole attack detection and prevention using agent-based algorithm. In this algorithm, agents are used to provide information to all node from its reliable neighbors by negotiation in three steps, thus nodes may not be able to pay the attention to the traffic made by sinkhole attacker. In this work, network scale of 500×500 m2 square areas have been considered. Series of simulation are carried in each experiment. Every simulation run is being organized to work for 10mins. Network performance is evaluated in terms of throughput, packet delivery ratio, jitter, delay in packets delivery, data packets received, data packets drop using network simulations software. Network simulation results depicts that in proposed algorithm, throughput increases by 15 to 20 percent, packet delivery ratio increases by 30 to 40%, decrease in the jitter by 10 to 15 %, delay in packets delivery is decreased by 15 to 20 %, data packets received are increased by 15 to 20 % and number of the data packets drop are decreased by 5 to 15 %. Based on simulation results throughput, packet delivery ratio and data packets received increased in proposed agent-based algorithm. However, it is observed that, jitter, delay in packets delivery and data packets drop were decreased.
{"title":"Sinkhole Attack Detection and Prevention using Agent Based Algorithm","authors":"Ashwini V. Jatti, V. K. Sonti","doi":"10.51201/JUSST/21/05175","DOIUrl":"https://doi.org/10.51201/JUSST/21/05175","url":null,"abstract":"This study presents sinkhole attack detection and prevention using agent-based algorithm. In this algorithm, agents are used to provide information to all node from its reliable neighbors by negotiation in three steps, thus nodes may not be able to pay the attention to the traffic made by sinkhole attacker. In this work, network scale of 500×500 m2 square areas have been considered. Series of simulation are carried in each experiment. Every simulation run is being organized to work for 10mins. Network performance is evaluated in terms of throughput, packet delivery ratio, jitter, delay in packets delivery, data packets received, data packets drop using network simulations software. Network simulation results depicts that in proposed algorithm, throughput increases by 15 to 20 percent, packet delivery ratio increases by 30 to 40%, decrease in the jitter by 10 to 15 %, delay in packets delivery is decreased by 15 to 20 %, data packets received are increased by 15 to 20 % and number of the data packets drop are decreased by 5 to 15 %. Based on simulation results throughput, packet delivery ratio and data packets received increased in proposed agent-based algorithm. However, it is observed that, jitter, delay in packets delivery and data packets drop were decreased.","PeriodicalId":17520,"journal":{"name":"Journal of the University of Shanghai for Science and Technology","volume":"31 1","pages":"526-544"},"PeriodicalIF":0.0,"publicationDate":"2021-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76121163","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}
Intuitionistic fuzzy set (IFS) is one of the most extensive and important tool to accommodate more uncertainties than existing fuzzy set structures. In the present paper, we describe an improved entropy based on TODIM procedure for handling multi-criteria decision-making (MCDM) under IF setting and also the weight information is partially known. First, we study the basic notions and operating laws of IFSs, also the accuracy and score function of it. The new entropy has been proposed. Secondly, the IF information-based decision-making technique for MCDM is presented. Lastly, a numerical example is given related, to demonstrate that their results are credible and feasible.
{"title":"An improved fuzzy TODIM method based on entropy measure under Intuitionistic Fuzzy Information","authors":"Sunitha Kumar, Satish Kumar","doi":"10.51201/JUSST/21/05170","DOIUrl":"https://doi.org/10.51201/JUSST/21/05170","url":null,"abstract":"Intuitionistic fuzzy set (IFS) is one of the most extensive and important tool to accommodate more uncertainties than existing fuzzy set structures. In the present paper, we describe an improved entropy based on TODIM procedure for handling multi-criteria decision-making (MCDM) under IF setting and also the weight information is partially known. First, we study the basic notions and operating laws of IFSs, also the accuracy and score function of it. The new entropy has been proposed. Secondly, the IF information-based decision-making technique for MCDM is presented. Lastly, a numerical example is given related, to demonstrate that their results are credible and feasible.","PeriodicalId":17520,"journal":{"name":"Journal of the University of Shanghai for Science and Technology","volume":"99 1","pages":"464-470"},"PeriodicalIF":0.0,"publicationDate":"2021-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73374386","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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