Pub Date : 2019-01-01DOI: 10.1109/ICNTE44896.2019.8945885
S. Chaudhari, Saurabh Killekar, Aishwarya Mahadik, Nair Meerakrishna, M. Divya
Optimization of unit commitment can be performed in various ways which include Dynamic Programming as one of the most reliable method. The precise meaning of unit commitment is scheduling of generators to increase the efficiency of generation while keeping the cost of generation to be minimum. This can be achieved by systematic following of the procedures of dynamic programming. Constraints related to dynamic programming enfolds the practical situations. Ideal situations can be often misinterpreted and certain factors of conditioning can be ignored. Hence, reliability constraint pertaining to risk of generation limit incapability is also important and down to be looked upon. Simulation of dynamic programming offers a better insight of the nominal and the actual values induced by using this programming method.
{"title":"A Review of Unit Commitment Problem Using Dynamic Programming","authors":"S. Chaudhari, Saurabh Killekar, Aishwarya Mahadik, Nair Meerakrishna, M. Divya","doi":"10.1109/ICNTE44896.2019.8945885","DOIUrl":"https://doi.org/10.1109/ICNTE44896.2019.8945885","url":null,"abstract":"Optimization of unit commitment can be performed in various ways which include Dynamic Programming as one of the most reliable method. The precise meaning of unit commitment is scheduling of generators to increase the efficiency of generation while keeping the cost of generation to be minimum. This can be achieved by systematic following of the procedures of dynamic programming. Constraints related to dynamic programming enfolds the practical situations. Ideal situations can be often misinterpreted and certain factors of conditioning can be ignored. Hence, reliability constraint pertaining to risk of generation limit incapability is also important and down to be looked upon. Simulation of dynamic programming offers a better insight of the nominal and the actual values induced by using this programming method.","PeriodicalId":292408,"journal":{"name":"2019 International Conference on Nascent Technologies in Engineering (ICNTE)","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128214313","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 : 2019-01-01DOI: 10.1109/ICNTE44896.2019.8945830
S. Mohurle, M. Devare
This work illuminates the machine learning based fuzzy probability model for calculating the compost usability index and measuring its quality. The work reviews the basic concept of fuzzy theory and probability; status of Municipal waste and applications of fuzzy probability. Further work proposes Fuzzy-Probability Model to quantifying the compost quality by analyzing the compost data. Input variables are set of mineral nutrients and its composition in a sample. The output of (FPM) proposed system is the Quality Index of Compost $(C_{i})$ (i.e. measures of the proportion of all elements available in compost and generate an index accordingly, a numeric value) that describes the quality of compost asserting that even if the expertise describes suitability of values in a particular sample of compost, the quality decided by expert may be approximate, assumed or predicted. The results and conclusion show that the proposed FPM system gives a programming model that helps to generate a quality index for agriculture stakeholders to believe in a particular type of compost.
{"title":"Fuzzy Probability Model for Quantifying the Effectiveness of the MSW Compost","authors":"S. Mohurle, M. Devare","doi":"10.1109/ICNTE44896.2019.8945830","DOIUrl":"https://doi.org/10.1109/ICNTE44896.2019.8945830","url":null,"abstract":"This work illuminates the machine learning based fuzzy probability model for calculating the compost usability index and measuring its quality. The work reviews the basic concept of fuzzy theory and probability; status of Municipal waste and applications of fuzzy probability. Further work proposes Fuzzy-Probability Model to quantifying the compost quality by analyzing the compost data. Input variables are set of mineral nutrients and its composition in a sample. The output of (FPM) proposed system is the Quality Index of Compost $(C_{i})$ (i.e. measures of the proportion of all elements available in compost and generate an index accordingly, a numeric value) that describes the quality of compost asserting that even if the expertise describes suitability of values in a particular sample of compost, the quality decided by expert may be approximate, assumed or predicted. The results and conclusion show that the proposed FPM system gives a programming model that helps to generate a quality index for agriculture stakeholders to believe in a particular type of compost.","PeriodicalId":292408,"journal":{"name":"2019 International Conference on Nascent Technologies in Engineering (ICNTE)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132445524","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 : 2019-01-01DOI: 10.1109/ICNTE44896.2019.8946032
Jayamala Adsul, J. Nair, P. Vaidya
This paper presents the design of a reconfigurable Analog-to-Digital Converter (ADC). The design employs a sub-ranging technique and implements a reconfigurable ADC which can be configured to give 8-bit, 12-bit and 16-bit resolution. This ADC can be used for a variety of applications since its resolution and conversion time can be varied depending upon the application. The design has been simulated using NI Multisim 14.1 and results have been presented in this paper. It achieves 8-bit resolution with the sampling rate of 100MHz, 12-bit resolution with the sampling rate of 250KHz and16-bit resolution with the sampling rate of 50KHz.
{"title":"Design and Simulation of a New Reconfigurable Analog to Digital Converter based on Multisim","authors":"Jayamala Adsul, J. Nair, P. Vaidya","doi":"10.1109/ICNTE44896.2019.8946032","DOIUrl":"https://doi.org/10.1109/ICNTE44896.2019.8946032","url":null,"abstract":"This paper presents the design of a reconfigurable Analog-to-Digital Converter (ADC). The design employs a sub-ranging technique and implements a reconfigurable ADC which can be configured to give 8-bit, 12-bit and 16-bit resolution. This ADC can be used for a variety of applications since its resolution and conversion time can be varied depending upon the application. The design has been simulated using NI Multisim 14.1 and results have been presented in this paper. It achieves 8-bit resolution with the sampling rate of 100MHz, 12-bit resolution with the sampling rate of 250KHz and16-bit resolution with the sampling rate of 50KHz.","PeriodicalId":292408,"journal":{"name":"2019 International Conference on Nascent Technologies in Engineering (ICNTE)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130511281","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 : 2019-01-01DOI: 10.1109/ICNTE44896.2019.8945979
S. Gupta, Kashish Sharma, Nihar Salvekar, Akshay Gajra
The introduction of Electronic Stability Control and other features have made cars much ahead and safer than before. The concept of Smart Helmet aims to provide the same for Bikes. With features like built-in Black Box, GPS logging which will keep track of the rider's location and can be accessed in case of emergency. A collision sensor will alert in case the rider meets with an accident and or is drunken driving. The helmet makes use of ATMega32u4 with AI Thinker's A7 GSM-GPS module for GPS logging, collision sensing and sending emergency SMS. The helmet also features an Alcohol sensor which will act as a breath-analyser and send a help messages to the registered phone numbers along with the rider's location. The Black-Box built on Raspberry Pi will help in analysing the cause of accident. The footage of the accident will be recorded automatically in case the rider meets with an accident. It will provide a safer travel for bikers and help them in case of an emergency.
{"title":"Implementation of Alcohol and Collision Sensors in a Smart Helmet","authors":"S. Gupta, Kashish Sharma, Nihar Salvekar, Akshay Gajra","doi":"10.1109/ICNTE44896.2019.8945979","DOIUrl":"https://doi.org/10.1109/ICNTE44896.2019.8945979","url":null,"abstract":"The introduction of Electronic Stability Control and other features have made cars much ahead and safer than before. The concept of Smart Helmet aims to provide the same for Bikes. With features like built-in Black Box, GPS logging which will keep track of the rider's location and can be accessed in case of emergency. A collision sensor will alert in case the rider meets with an accident and or is drunken driving. The helmet makes use of ATMega32u4 with AI Thinker's A7 GSM-GPS module for GPS logging, collision sensing and sending emergency SMS. The helmet also features an Alcohol sensor which will act as a breath-analyser and send a help messages to the registered phone numbers along with the rider's location. The Black-Box built on Raspberry Pi will help in analysing the cause of accident. The footage of the accident will be recorded automatically in case the rider meets with an accident. It will provide a safer travel for bikers and help them in case of an emergency.","PeriodicalId":292408,"journal":{"name":"2019 International Conference on Nascent Technologies in Engineering (ICNTE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129962884","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 : 2019-01-01DOI: 10.1109/ICNTE44896.2019.8945909
Sejal Chopra, Atharva Aglawe, S. Singh, Amogh Ambekar
With the advent of social media the variety of digital media is growing exponentially. One of the purposes of media is to introduce a sense of joy among users. Multimedia customization and recommendations depend on emotional traits of the content a user is watching. The levels of media enjoyment of a normal person are usually extracted using various surveys or feedback gathering. Enjoyment level varies from an individual to another, the presence of techniques for gathering this kind of feedback from paralyzed will make a breakthrough in media content feedback of such people. In this paper, EEG data is acquired from Neurosky Mindwave headset. The data is then transformed to frequency domain using Fourier transform and various feature extraction steps are performed. Enjoyment level is divided into four levels based on the attention of the user. Finally, an attempt is made to draw a conclusion from the achieved result that this enjoyment level detection mechanism can be integrated with a web application which can help paralyzed people customize their choices of media they are interested in watching.
{"title":"ParaInfia-An infotainment System for semi-paralyzed using Electroencephalogram","authors":"Sejal Chopra, Atharva Aglawe, S. Singh, Amogh Ambekar","doi":"10.1109/ICNTE44896.2019.8945909","DOIUrl":"https://doi.org/10.1109/ICNTE44896.2019.8945909","url":null,"abstract":"With the advent of social media the variety of digital media is growing exponentially. One of the purposes of media is to introduce a sense of joy among users. Multimedia customization and recommendations depend on emotional traits of the content a user is watching. The levels of media enjoyment of a normal person are usually extracted using various surveys or feedback gathering. Enjoyment level varies from an individual to another, the presence of techniques for gathering this kind of feedback from paralyzed will make a breakthrough in media content feedback of such people. In this paper, EEG data is acquired from Neurosky Mindwave headset. The data is then transformed to frequency domain using Fourier transform and various feature extraction steps are performed. Enjoyment level is divided into four levels based on the attention of the user. Finally, an attempt is made to draw a conclusion from the achieved result that this enjoyment level detection mechanism can be integrated with a web application which can help paralyzed people customize their choices of media they are interested in watching.","PeriodicalId":292408,"journal":{"name":"2019 International Conference on Nascent Technologies in Engineering (ICNTE)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130865556","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 : 2019-01-01DOI: 10.1109/ICNTE44896.2019.8946053
J. Goyal, S. S. Mantha, V. Phalle
The aim of this work is to determine the effective passive measures to enhance the thermal comfort of the building envelop. Passive measures are those measures which reduce electricity demand but do not require any electricity to operate. The building components such as walls, roof and window are exposed to solar radiation and outside air temperature. Heat is conducted from exterior environment into the interior of the building envelop through these channels, wherein majority (approx. 60%) is conducted by walls and roof. Envelop insulation is considered as an efficient retrofitting measure to reduce heat gain from walls and roof. In this study, a techno-economic model has been investigated to obtain optimum insulation thickness (OIT) for the residential buildings in the three climate zones of India. Four types of commonly used insulation materials analysed are: expanded polystyrene (EPS), extruded polystyrene (XPS), fiberglass and polyurethane foam (PUF). The effect of cooling design temperature and the coefficient of performance (COP) of air conditioners on the insulation thickness were also investigated. Fiberglass is observed as the most cost effective insulation material, considering life cycle performance of the insulation material for all the climate zones. It was also concluded that air-conditioner with higher COP can potentially reduce the insulation cost.
{"title":"Analysis of Passive Retrofitting Measures for Reduced Electricity Demand","authors":"J. Goyal, S. S. Mantha, V. Phalle","doi":"10.1109/ICNTE44896.2019.8946053","DOIUrl":"https://doi.org/10.1109/ICNTE44896.2019.8946053","url":null,"abstract":"The aim of this work is to determine the effective passive measures to enhance the thermal comfort of the building envelop. Passive measures are those measures which reduce electricity demand but do not require any electricity to operate. The building components such as walls, roof and window are exposed to solar radiation and outside air temperature. Heat is conducted from exterior environment into the interior of the building envelop through these channels, wherein majority (approx. 60%) is conducted by walls and roof. Envelop insulation is considered as an efficient retrofitting measure to reduce heat gain from walls and roof. In this study, a techno-economic model has been investigated to obtain optimum insulation thickness (OIT) for the residential buildings in the three climate zones of India. Four types of commonly used insulation materials analysed are: expanded polystyrene (EPS), extruded polystyrene (XPS), fiberglass and polyurethane foam (PUF). The effect of cooling design temperature and the coefficient of performance (COP) of air conditioners on the insulation thickness were also investigated. Fiberglass is observed as the most cost effective insulation material, considering life cycle performance of the insulation material for all the climate zones. It was also concluded that air-conditioner with higher COP can potentially reduce the insulation cost.","PeriodicalId":292408,"journal":{"name":"2019 International Conference on Nascent Technologies in Engineering (ICNTE)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127443822","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 : 2019-01-01DOI: 10.1109/ICNTE44896.2019.8945917
Abhilash Mane, Riddhi R. Adhikari, Shreyash Gadgil, N. Raykar
This paper investigates the applications of Machine Learning in recognition of 2D drawings of machine components. Recognition of primitive geometric shapes such as polygons within engineering drawings forms basic element of such approach. Machine learning algorithms are used to identify 3 to 7 sided polygons with random shapes and segmented edges. The uncertainty induced by segmented edges poses a challenge for predicting number of sides using statistical method such as Machine Learning. Different types of datasets with varying amount of uncertainty are used. The recognition of shapes is attempted with different sets of features such as coordinates of points, slopes of lines and geometric parameters such as area, perimeter and centroid. Three machine learning models namely, Random Forest Classifier, K- Nearest Neighbors Classifier and Support Vector Classifier are adopted. The performance of these models for identification of polygons is discussed.
{"title":"Investigating Application of Machine Learning in Identification of Polygon Shapes for Recognition of Mechanical Engineering Drawings","authors":"Abhilash Mane, Riddhi R. Adhikari, Shreyash Gadgil, N. Raykar","doi":"10.1109/ICNTE44896.2019.8945917","DOIUrl":"https://doi.org/10.1109/ICNTE44896.2019.8945917","url":null,"abstract":"This paper investigates the applications of Machine Learning in recognition of 2D drawings of machine components. Recognition of primitive geometric shapes such as polygons within engineering drawings forms basic element of such approach. Machine learning algorithms are used to identify 3 to 7 sided polygons with random shapes and segmented edges. The uncertainty induced by segmented edges poses a challenge for predicting number of sides using statistical method such as Machine Learning. Different types of datasets with varying amount of uncertainty are used. The recognition of shapes is attempted with different sets of features such as coordinates of points, slopes of lines and geometric parameters such as area, perimeter and centroid. Three machine learning models namely, Random Forest Classifier, K- Nearest Neighbors Classifier and Support Vector Classifier are adopted. The performance of these models for identification of polygons is discussed.","PeriodicalId":292408,"journal":{"name":"2019 International Conference on Nascent Technologies in Engineering (ICNTE)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127989119","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 : 2019-01-01DOI: 10.1109/icnte44896.2019.8945838
{"title":"[Copyright notice]","authors":"","doi":"10.1109/icnte44896.2019.8945838","DOIUrl":"https://doi.org/10.1109/icnte44896.2019.8945838","url":null,"abstract":"","PeriodicalId":292408,"journal":{"name":"2019 International Conference on Nascent Technologies in Engineering (ICNTE)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121250128","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 : 2019-01-01DOI: 10.1109/ICNTE44896.2019.8946017
Shriya Wadke, N. Rao, Varada Kulkarni, Anurag Karmarkar, S. Pai
Time to Digital Converters has been used to measure time difference between two events with high accuracy and resolution approx. 100 ps. In this paper, it is proposed to develop a data acquisition system for Time-of-Flight measurement using Time to Digital converter. The firmware for the system is designed around PIC 18F4550 microcontroller and TDC7200 integrated circuit. The system has been programmed to configure Time to Digital Converter using SPI line and log out the acquired data over to PC via UART. The readout system has been tested with calibrated delay inputs to examine the different working modes of operation. The gathered data has been analyzed using ROOT framework. The cost effective alternative for the Time to Digital Converter evaluation module also has been discussed and designed to be compatible with microcontrollers as well as Field Programmable Gate Array devices.
{"title":"Design and Implementation of High Precision Time to Digital Converter Readout System","authors":"Shriya Wadke, N. Rao, Varada Kulkarni, Anurag Karmarkar, S. Pai","doi":"10.1109/ICNTE44896.2019.8946017","DOIUrl":"https://doi.org/10.1109/ICNTE44896.2019.8946017","url":null,"abstract":"Time to Digital Converters has been used to measure time difference between two events with high accuracy and resolution approx. 100 ps. In this paper, it is proposed to develop a data acquisition system for Time-of-Flight measurement using Time to Digital converter. The firmware for the system is designed around PIC 18F4550 microcontroller and TDC7200 integrated circuit. The system has been programmed to configure Time to Digital Converter using SPI line and log out the acquired data over to PC via UART. The readout system has been tested with calibrated delay inputs to examine the different working modes of operation. The gathered data has been analyzed using ROOT framework. The cost effective alternative for the Time to Digital Converter evaluation module also has been discussed and designed to be compatible with microcontrollers as well as Field Programmable Gate Array devices.","PeriodicalId":292408,"journal":{"name":"2019 International Conference on Nascent Technologies in Engineering (ICNTE)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126736573","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 : 2019-01-01DOI: 10.1109/ICNTE44896.2019.8946061
Akshay A. Sarawade, N. Charniya
Developing a system which can be used for detection of faulty Integrated circuits (ICs) is one of the major challenge in electronic industry. Heating in ICs due to various reasons which may lead to degradation of performance and can cause serious hazardous effects in Printed Circuit Boards (PCB). Thermal image processing is one of the best non-contact, non-invasive method which can be used for IC fault detection. The paper aims towards detection of faulty ICs in PCB with help of thermal imaging camera and image processing techniques. Thermal images of sequence detector circuit for different fault conditions are collected. Image matching is achieved by comparing features of training images and test image using Speeded-Up Robust Features (SURF) algorithm. The system will indicate image belongs to particular fault class. The proposed method detects and classify possible faulty IC conditions with improved accuracy and can also help in early prevention remotely before complete circuit failure.
{"title":"Detection of Faulty Integrated Circuits in PCB with Thermal Image Processing","authors":"Akshay A. Sarawade, N. Charniya","doi":"10.1109/ICNTE44896.2019.8946061","DOIUrl":"https://doi.org/10.1109/ICNTE44896.2019.8946061","url":null,"abstract":"Developing a system which can be used for detection of faulty Integrated circuits (ICs) is one of the major challenge in electronic industry. Heating in ICs due to various reasons which may lead to degradation of performance and can cause serious hazardous effects in Printed Circuit Boards (PCB). Thermal image processing is one of the best non-contact, non-invasive method which can be used for IC fault detection. The paper aims towards detection of faulty ICs in PCB with help of thermal imaging camera and image processing techniques. Thermal images of sequence detector circuit for different fault conditions are collected. Image matching is achieved by comparing features of training images and test image using Speeded-Up Robust Features (SURF) algorithm. The system will indicate image belongs to particular fault class. The proposed method detects and classify possible faulty IC conditions with improved accuracy and can also help in early prevention remotely before complete circuit failure.","PeriodicalId":292408,"journal":{"name":"2019 International Conference on Nascent Technologies in Engineering (ICNTE)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121900335","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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