Pub Date : 2020-12-16DOI: 10.1109/PuneCon50868.2020.9362468
Vijay Gaikwad, Yash Bagul, Aniket Sarap, S. Swami
Nowadays world is facing many serious problems. Water scarcity is one of the major issues which affects almost 4 billion people across the world. Proposed idea contributes to conserve water. It introduces an IoT based system which can calculate exact water usage of specific houses. Concept of smart flow meter implies the measurement of fluid volume consumed by the user and this usage is monitored and displayed to the corresponding user. Once a certain limit of usage is passed then the customer will receive a text message or a mail as a warning or reminder. After that charges will be applied for each liter of water used by that family or a specific person. The volume of water used is detected by ultrasonic sensors where micro-controllers receive the input data and send it to customers via text message through GSM module. If this system is implemented in every house and society then it will help significantly to reduce wastage of water and water scarcity for all smart cities.
{"title":"IOT based Smart Flow Meter for Smart Cities","authors":"Vijay Gaikwad, Yash Bagul, Aniket Sarap, S. Swami","doi":"10.1109/PuneCon50868.2020.9362468","DOIUrl":"https://doi.org/10.1109/PuneCon50868.2020.9362468","url":null,"abstract":"Nowadays world is facing many serious problems. Water scarcity is one of the major issues which affects almost 4 billion people across the world. Proposed idea contributes to conserve water. It introduces an IoT based system which can calculate exact water usage of specific houses. Concept of smart flow meter implies the measurement of fluid volume consumed by the user and this usage is monitored and displayed to the corresponding user. Once a certain limit of usage is passed then the customer will receive a text message or a mail as a warning or reminder. After that charges will be applied for each liter of water used by that family or a specific person. The volume of water used is detected by ultrasonic sensors where micro-controllers receive the input data and send it to customers via text message through GSM module. If this system is implemented in every house and society then it will help significantly to reduce wastage of water and water scarcity for all smart cities.","PeriodicalId":368862,"journal":{"name":"2020 IEEE Pune Section International Conference (PuneCon)","volume":"78 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":"117238749","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: 10.1109/PuneCon50868.2020.9362398
A. Ambekar, A. Deshmukh, Venkata A. P. Chavali
A modified square microstrip antenna fabricated on a thinner substrate is stated for dual polarized wideband response. Diagonal overlapping of square patches results in compact structure. The reported design yields 54% VSWR and 40% of gain bandwidth respectively. However, the reported work does not provide an enlightenment of resonant modes responsible for dual polarized wideband response. The present manuscript, gives in depth analysis by means of resonance curve plots and vector current distributions for dual polarized wideband response of reported configuration. It is observed that offset feed position and overlapping dimensions of patches modifies TM10, TM01, TM11 and TM02 modes of antenna that yields dual polarized wideband response. Further design of same configuration at 900 MHz (0.9 GHz) is presented yielding impedance bandwidth of 581MHz (57%).
{"title":"Modified Square Microstrip Antenna for Dual Polarized Wideband Response","authors":"A. Ambekar, A. Deshmukh, Venkata A. P. Chavali","doi":"10.1109/PuneCon50868.2020.9362398","DOIUrl":"https://doi.org/10.1109/PuneCon50868.2020.9362398","url":null,"abstract":"A modified square microstrip antenna fabricated on a thinner substrate is stated for dual polarized wideband response. Diagonal overlapping of square patches results in compact structure. The reported design yields 54% VSWR and 40% of gain bandwidth respectively. However, the reported work does not provide an enlightenment of resonant modes responsible for dual polarized wideband response. The present manuscript, gives in depth analysis by means of resonance curve plots and vector current distributions for dual polarized wideband response of reported configuration. It is observed that offset feed position and overlapping dimensions of patches modifies TM10, TM01, TM11 and TM02 modes of antenna that yields dual polarized wideband response. Further design of same configuration at 900 MHz (0.9 GHz) is presented yielding impedance bandwidth of 581MHz (57%).","PeriodicalId":368862,"journal":{"name":"2020 IEEE Pune Section International Conference (PuneCon)","volume":"1 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":"121641336","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: 10.1109/PuneCon50868.2020.9362376
S. Bakre, P. Gokhale
The concept of catering electric supply to the auxiliary loads of railway wagons using Wind-solar based renewable energy systems is under consideration at number of metro rail projects. In such systems the selection of source of supply from available sources is a matter of concern. The existing schemes of source selection are mostly hardware oriented that invite problems such as delay in selection, components becoming sluggish and insensitive and loose connections. This paper suggests a novice neural network based approach for source selection as a replacement against the existing schemes. The proposed method of software abstraction is simple, low cost and accurate.
{"title":"Neural Network Based Source Selection Scheme for Wind-solar Based Auxiliary Supply in Railway Traction Systems","authors":"S. Bakre, P. Gokhale","doi":"10.1109/PuneCon50868.2020.9362376","DOIUrl":"https://doi.org/10.1109/PuneCon50868.2020.9362376","url":null,"abstract":"The concept of catering electric supply to the auxiliary loads of railway wagons using Wind-solar based renewable energy systems is under consideration at number of metro rail projects. In such systems the selection of source of supply from available sources is a matter of concern. The existing schemes of source selection are mostly hardware oriented that invite problems such as delay in selection, components becoming sluggish and insensitive and loose connections. This paper suggests a novice neural network based approach for source selection as a replacement against the existing schemes. The proposed method of software abstraction is simple, low cost and accurate.","PeriodicalId":368862,"journal":{"name":"2020 IEEE Pune Section International Conference (PuneCon)","volume":"26 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":"131025758","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: 10.1109/PuneCon50868.2020.9362361
Shila Jawale, S. Sawarkar
Sentiment analysis (SA) or emotion AI or opinion mining uses natural language processing (NLP). Sentiment Analysis identify, study, quantify, obtain, tacit states and subject related information. Broad spectrum of areas influenced due to Sentiment Analysis such as policy making by the government, finding mental health of individuals, finding misuse of drugs in healthcare, fraud detection in the financial sector, covid-19 awareness and impact, Cyber-crime etc. As the amplitude of social media data increases day by day, there is a need to automatically address sentiment analysis. Deep learning handles it very well. It gives very good accuracy but incomprehensibility in decision strategy. For better decision-making trust, believe, fairness, reliability, and unbiasing is important. This paper explores the work done in this area along with popular techniques to address interpretability in sentiment analysis and its evaluation criteria.
{"title":"Interpretable Sentiment Analysis based on Deep Learning: An overview","authors":"Shila Jawale, S. Sawarkar","doi":"10.1109/PuneCon50868.2020.9362361","DOIUrl":"https://doi.org/10.1109/PuneCon50868.2020.9362361","url":null,"abstract":"Sentiment analysis (SA) or emotion AI or opinion mining uses natural language processing (NLP). Sentiment Analysis identify, study, quantify, obtain, tacit states and subject related information. Broad spectrum of areas influenced due to Sentiment Analysis such as policy making by the government, finding mental health of individuals, finding misuse of drugs in healthcare, fraud detection in the financial sector, covid-19 awareness and impact, Cyber-crime etc. As the amplitude of social media data increases day by day, there is a need to automatically address sentiment analysis. Deep learning handles it very well. It gives very good accuracy but incomprehensibility in decision strategy. For better decision-making trust, believe, fairness, reliability, and unbiasing is important. This paper explores the work done in this area along with popular techniques to address interpretability in sentiment analysis and its evaluation criteria.","PeriodicalId":368862,"journal":{"name":"2020 IEEE Pune Section International Conference (PuneCon)","volume":"19 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":"116110541","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: 10.1109/PuneCon50868.2020.9362469
Litesh Bopche, P. Rege
landslide events are natural geographical disasters resulting in a massive loss of human lives, as well as severe destruction to natural resources. This work highlights Landslide Susceptibility Mapping (LSM) and Landslide Hazards Zonation (LHZ) mapping using the fuzzy overlay analysis method with the help of the Geographical Information Systems (GIS) and Remote Sensing (RS) technique. The primary aim of the work is to produce, compare, and authenticate landslide vulnerability zones. The eight different types of landslide causality factors are used for the generation of the LSM. The LSM was created by computing the relationship between the landslide causality factors with landslide positions in the past. The LHZ map was characterized into five different hazard zones: scars, high, moderate, low, and very low susceptible zones. The LSM and LHZ maps could be precious in the identification of the most sensitive zones, which is very serious for investigating risk management, and community and regional development.
{"title":"Feature-Based Landslide Susceptibility and Hazard Zonation Maps using Fuzzy Overlay Analysis","authors":"Litesh Bopche, P. Rege","doi":"10.1109/PuneCon50868.2020.9362469","DOIUrl":"https://doi.org/10.1109/PuneCon50868.2020.9362469","url":null,"abstract":"landslide events are natural geographical disasters resulting in a massive loss of human lives, as well as severe destruction to natural resources. This work highlights Landslide Susceptibility Mapping (LSM) and Landslide Hazards Zonation (LHZ) mapping using the fuzzy overlay analysis method with the help of the Geographical Information Systems (GIS) and Remote Sensing (RS) technique. The primary aim of the work is to produce, compare, and authenticate landslide vulnerability zones. The eight different types of landslide causality factors are used for the generation of the LSM. The LSM was created by computing the relationship between the landslide causality factors with landslide positions in the past. The LHZ map was characterized into five different hazard zones: scars, high, moderate, low, and very low susceptible zones. The LSM and LHZ maps could be precious in the identification of the most sensitive zones, which is very serious for investigating risk management, and community and regional development.","PeriodicalId":368862,"journal":{"name":"2020 IEEE Pune Section International Conference (PuneCon)","volume":"27 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":"114722803","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: 10.1109/PuneCon50868.2020.9362362
W. A. Khan, Aftab Khan
Data compression plays an important role in lesser expensive resource consumption. It is also cumbersome to send a huge amount of data through the network. The data compression techniques help in optimizing physical storage devices as well as it makes easy to transfer the compressed data or file faster through internet or network. Deoxyribonucleic acid or DNA is biological traits presents in human and almost all other living organisms. The DNA contains the genetic information of the living organisms. In this research, various compression algorithms for DNA sequences are studied and compared. The scheme proposed here for compression is the use of a burrows wheeler compression technique. Our proposed algorithm is the modification of the Burrows Wheeler Compression Algorithm (BWCA). The lexicographical sorting of the matrix is replaced by the polynomial base representation of the bases of DNA. This method reduces the time for compression positively. Validation was performed on various datasets that concur the efficiency of the proposed scheme.
{"title":"Polynomial Based Representation for DNA Sequence Compression and Search","authors":"W. A. Khan, Aftab Khan","doi":"10.1109/PuneCon50868.2020.9362362","DOIUrl":"https://doi.org/10.1109/PuneCon50868.2020.9362362","url":null,"abstract":"Data compression plays an important role in lesser expensive resource consumption. It is also cumbersome to send a huge amount of data through the network. The data compression techniques help in optimizing physical storage devices as well as it makes easy to transfer the compressed data or file faster through internet or network. Deoxyribonucleic acid or DNA is biological traits presents in human and almost all other living organisms. The DNA contains the genetic information of the living organisms. In this research, various compression algorithms for DNA sequences are studied and compared. The scheme proposed here for compression is the use of a burrows wheeler compression technique. Our proposed algorithm is the modification of the Burrows Wheeler Compression Algorithm (BWCA). The lexicographical sorting of the matrix is replaced by the polynomial base representation of the bases of DNA. This method reduces the time for compression positively. Validation was performed on various datasets that concur the efficiency of the proposed scheme.","PeriodicalId":368862,"journal":{"name":"2020 IEEE Pune Section International Conference (PuneCon)","volume":"59 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":"127487981","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: 10.1109/PuneCon50868.2020.9362405
Nidhi Singh
Radiation from the sun is an amount that is produced each hour by the Sun and is a critical information for the outline and decide the productivity of a photovoltaic plant and ambient temperature enormously influence the execution of the solar power. In this paper a new approach is projected for analysis on style and control of grid solar system the project is based on power control of tie line. This technique of low stress on utilization of customized control topology. The working principle of described method is that the grid is developed by the solar system for the distribution of energy and tie line control is developed with the help of two parameters viz. frequency and power. For obtaining this we are using here maximum power point tracking (mppt) and boost converter for increasing the efficiency of photovoltaic cell. In every PV system MPPT is a pivotal technique. From the results it is clear that the presented techniques of control using mppt can ward off tracking differences and gives an enhanced outcome in both steady and dynamic response.
{"title":"Design and Simulation of Grid Connected MPPT based PV Module","authors":"Nidhi Singh","doi":"10.1109/PuneCon50868.2020.9362405","DOIUrl":"https://doi.org/10.1109/PuneCon50868.2020.9362405","url":null,"abstract":"Radiation from the sun is an amount that is produced each hour by the Sun and is a critical information for the outline and decide the productivity of a photovoltaic plant and ambient temperature enormously influence the execution of the solar power. In this paper a new approach is projected for analysis on style and control of grid solar system the project is based on power control of tie line. This technique of low stress on utilization of customized control topology. The working principle of described method is that the grid is developed by the solar system for the distribution of energy and tie line control is developed with the help of two parameters viz. frequency and power. For obtaining this we are using here maximum power point tracking (mppt) and boost converter for increasing the efficiency of photovoltaic cell. In every PV system MPPT is a pivotal technique. From the results it is clear that the presented techniques of control using mppt can ward off tracking differences and gives an enhanced outcome in both steady and dynamic response.","PeriodicalId":368862,"journal":{"name":"2020 IEEE Pune Section International Conference (PuneCon)","volume":"1 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":"131290620","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}
Cardiovascular diseases are one of the most vital causes offatality. Cardiovascular disease prediction is a critical challenge in the area of clinical data analysis. Machine learning and Neural Networks are more promising in assisting decide and predict from the massive data produced by healthcare. We have noted different features had used in recent developments of the machine learning model. In this paper, we proposed machine learning techniques to predict cardiovascular disease using features. BMI is one of the highlighting features we used for prediction. BMI is important in predicting cardiovascular disease. The main focus of the article isthe effect ofBMI onthe prediction of cardiovascular disease. The model has proposed with different features as well as regression and classification techniques. We conclude that BMI is a significant factor while predicting cardiovascular disease.
{"title":"Cardiovascular Disease Prediction Using Machine Learning Models","authors":"Atharv Nikam, Sanket Bhandari, Aditya Mhaske, Shamla Mantri","doi":"10.1109/PuneCon50868.2020.9362367","DOIUrl":"https://doi.org/10.1109/PuneCon50868.2020.9362367","url":null,"abstract":"Cardiovascular diseases are one of the most vital causes offatality. Cardiovascular disease prediction is a critical challenge in the area of clinical data analysis. Machine learning and Neural Networks are more promising in assisting decide and predict from the massive data produced by healthcare. We have noted different features had used in recent developments of the machine learning model. In this paper, we proposed machine learning techniques to predict cardiovascular disease using features. BMI is one of the highlighting features we used for prediction. BMI is important in predicting cardiovascular disease. The main focus of the article isthe effect ofBMI onthe prediction of cardiovascular disease. The model has proposed with different features as well as regression and classification techniques. We conclude that BMI is a significant factor while predicting cardiovascular disease.","PeriodicalId":368862,"journal":{"name":"2020 IEEE Pune Section International Conference (PuneCon)","volume":"356 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":"123107536","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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