Pub Date : 2020-06-01DOI: 10.1109/incet49848.2020.9154174
Sreeram K L, Sundharam V M, Bharathwaj G
The main concept of this paper is to predict the natural disasters beforehand. With the help of deep learning one can apply statistical models to historical data to predict the future outcomes. With the help of GIS data of tectonic plates and occurred earthquakes we can train a model to predict the future earthquakes and tsunamis. The proposed system helps to predict disasters well in ahead of time which can give suitable time for evacuation and preparation for the disasters.
{"title":"Proactive Disaster Detection","authors":"Sreeram K L, Sundharam V M, Bharathwaj G","doi":"10.1109/incet49848.2020.9154174","DOIUrl":"https://doi.org/10.1109/incet49848.2020.9154174","url":null,"abstract":"The main concept of this paper is to predict the natural disasters beforehand. With the help of deep learning one can apply statistical models to historical data to predict the future outcomes. With the help of GIS data of tectonic plates and occurred earthquakes we can train a model to predict the future earthquakes and tsunamis. The proposed system helps to predict disasters well in ahead of time which can give suitable time for evacuation and preparation for the disasters.","PeriodicalId":174411,"journal":{"name":"2020 International Conference for Emerging Technology (INCET)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125022117","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 : 2020-06-01DOI: 10.1109/incet49848.2020.9154050
Abhishek L
This paper deals with retrieval of contents of any printed or handwritten document. Maximally Stable Extremal Regions (MSER) algorithm along with region-growing methods are used for the detection of printed regions. Histogram of Oriented Gradients (HOG features) are used for feature extraction. Various machine learning algorithms, namely Decision Trees, Random Forest, Extra Trees Classifier, MLP, and SVM along with ensemble method were used for classification, and the accuracies compared.
{"title":"Optical Character Recognition using Ensemble of SVM, MLP and Extra Trees Classifier","authors":"Abhishek L","doi":"10.1109/incet49848.2020.9154050","DOIUrl":"https://doi.org/10.1109/incet49848.2020.9154050","url":null,"abstract":"This paper deals with retrieval of contents of any printed or handwritten document. Maximally Stable Extremal Regions (MSER) algorithm along with region-growing methods are used for the detection of printed regions. Histogram of Oriented Gradients (HOG features) are used for feature extraction. Various machine learning algorithms, namely Decision Trees, Random Forest, Extra Trees Classifier, MLP, and SVM along with ensemble method were used for classification, and the accuracies compared.","PeriodicalId":174411,"journal":{"name":"2020 International Conference for Emerging Technology (INCET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131263655","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 : 2020-06-01DOI: 10.1109/incet49848.2020.9153973
M. Saini, Mala Kalra
Sentiment analysis is an approach to analyse the opinion and views of the people from the text or images posted by them on social media like Facebook and Twitter. Sentiment analysis is a challenging task because it is not easy to analyse the exact views, opinions, and feelings of the text. The way of expressing feelings varies with people in different contexts and topics. This issue can be resolved by combining the text and prior knowledge. This research work proposes a deep convolutional neural network that uses the character to sentence-level information to perform sentiment analysis of tweets. A new approach for the initialization of the weights of the convolutional neural network is suggested which helps to train the network efficiently and helps to find effective features. The model is further tuned by a deep learning model which reduces the classification error. It uses word vector features with feature engineering by means of a convolution neural network. Further, the process involves learning by the soft-max classifier. The experiments are performed using three different datasets with 3K,10K and 100K tweets. The proposed approach represents a significant improvement in accuracy, precision, and recall in comparison to existing approaches.
{"title":"An Enhanced Convolution Neural Network Based Approach for Classification of Sentiments","authors":"M. Saini, Mala Kalra","doi":"10.1109/incet49848.2020.9153973","DOIUrl":"https://doi.org/10.1109/incet49848.2020.9153973","url":null,"abstract":"Sentiment analysis is an approach to analyse the opinion and views of the people from the text or images posted by them on social media like Facebook and Twitter. Sentiment analysis is a challenging task because it is not easy to analyse the exact views, opinions, and feelings of the text. The way of expressing feelings varies with people in different contexts and topics. This issue can be resolved by combining the text and prior knowledge. This research work proposes a deep convolutional neural network that uses the character to sentence-level information to perform sentiment analysis of tweets. A new approach for the initialization of the weights of the convolutional neural network is suggested which helps to train the network efficiently and helps to find effective features. The model is further tuned by a deep learning model which reduces the classification error. It uses word vector features with feature engineering by means of a convolution neural network. Further, the process involves learning by the soft-max classifier. The experiments are performed using three different datasets with 3K,10K and 100K tweets. The proposed approach represents a significant improvement in accuracy, precision, and recall in comparison to existing approaches.","PeriodicalId":174411,"journal":{"name":"2020 International Conference for Emerging Technology (INCET)","volume":"133 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133286964","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 : 2020-06-01DOI: 10.1109/incet49848.2020.9154179
R. P. Maurya, Nayanica Srivastava, S. Mitra
This paper proposed a bulk Si-FinFET for different digital applications. The proposed device has been analyzed for different gate dielectric material such as SiO2 as low-K dielectric and HfO2 as high-K dielectric. It is observed that by using high-K dielectric, ON Current is slightly enhanced. Further the comparative study of a device for silicon material and graphite material is also performed. It is observed that when body thickness is 12 nm, the ON Current of the device is high for Silicon at higher gate voltage as compared to graphite.
{"title":"Analysis of Graphite FinFET","authors":"R. P. Maurya, Nayanica Srivastava, S. Mitra","doi":"10.1109/incet49848.2020.9154179","DOIUrl":"https://doi.org/10.1109/incet49848.2020.9154179","url":null,"abstract":"This paper proposed a bulk Si-FinFET for different digital applications. The proposed device has been analyzed for different gate dielectric material such as SiO2 as low-K dielectric and HfO2 as high-K dielectric. It is observed that by using high-K dielectric, ON Current is slightly enhanced. Further the comparative study of a device for silicon material and graphite material is also performed. It is observed that when body thickness is 12 nm, the ON Current of the device is high for Silicon at higher gate voltage as compared to graphite.","PeriodicalId":174411,"journal":{"name":"2020 International Conference for Emerging Technology (INCET)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133866306","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 : 2020-06-01DOI: 10.1109/incet49848.2020.9154138
S. Akella, Harit Bandi, Siddhant Bhagat
Heart Rate is a health parameter that is a fair indicator of the functioning of the human cardiovascular system. It is one of the most basic parameters utilised to assess basic human health. This paper explicates the development and usability of a comprehensive heart rate monitoring and notification relay system, based on a Microcontroller Unit. The non-invasive technique of photoplethysmography (PPG) has been used for measuring the heart rate (coupled with dynamic algorithms to reinforce accuracy) and the readings are transmitted via cloud-based applications to pre-designated entities for effective monitoring. A rudimentary analysis of the measured data is made accessible to the user in real-time to ensure actionable insights.
{"title":"Notification-enabled Heart Rate Monitor using Photoplethysmography and Real-time Moving Averages","authors":"S. Akella, Harit Bandi, Siddhant Bhagat","doi":"10.1109/incet49848.2020.9154138","DOIUrl":"https://doi.org/10.1109/incet49848.2020.9154138","url":null,"abstract":"Heart Rate is a health parameter that is a fair indicator of the functioning of the human cardiovascular system. It is one of the most basic parameters utilised to assess basic human health. This paper explicates the development and usability of a comprehensive heart rate monitoring and notification relay system, based on a Microcontroller Unit. The non-invasive technique of photoplethysmography (PPG) has been used for measuring the heart rate (coupled with dynamic algorithms to reinforce accuracy) and the readings are transmitted via cloud-based applications to pre-designated entities for effective monitoring. A rudimentary analysis of the measured data is made accessible to the user in real-time to ensure actionable insights.","PeriodicalId":174411,"journal":{"name":"2020 International Conference for Emerging Technology (INCET)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133895802","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 : 2020-06-01DOI: 10.1109/incet49848.2020.9154018
Aamer Munaf Shaikh, R. D. Kulkarni, Anupa Sabnis, Mahajan Sagar Bhaskar, Umashankar Subramaniam
A single phase AC-DC converter is extremely important parameter of major sectors of power systems, electronic circuitries, computer power supplies, communication and automation systems. The converter system should be compact, efficient and reliable as it powers the system throughout the year continuously. The power density and performance efficiency of the controlled rectifier circuits are sufficiently enhanced using the next level semiconductor switches like Silicon Carbide (SiC) MOSFET having wide band gap structure. The advantages in the structural properties of the SiC MOSFET device face the challenges in terms of the costing of the device. In this paper a single phase close loop control rectifier with switching device as SiC MOSFET and diodes as Schottky SiC diode is proposed which minimizes the reverse recovery losses of semiconductor switches which gets wipe out. Proposed rectifier is designed for powering the high precision calibration of Direct Current Current Transformer (DCCT) which works on the Hall Effect principle for high DC current measurements of Kilo ampere range. The circuit operational analysis and simulation presented validate the advantages of proposed rectifier in comparison with traditional circuit configuration.
{"title":"Silicon Carbide (SiC) based Constant DC Current Source for DC Current Transformer Calibration","authors":"Aamer Munaf Shaikh, R. D. Kulkarni, Anupa Sabnis, Mahajan Sagar Bhaskar, Umashankar Subramaniam","doi":"10.1109/incet49848.2020.9154018","DOIUrl":"https://doi.org/10.1109/incet49848.2020.9154018","url":null,"abstract":"A single phase AC-DC converter is extremely important parameter of major sectors of power systems, electronic circuitries, computer power supplies, communication and automation systems. The converter system should be compact, efficient and reliable as it powers the system throughout the year continuously. The power density and performance efficiency of the controlled rectifier circuits are sufficiently enhanced using the next level semiconductor switches like Silicon Carbide (SiC) MOSFET having wide band gap structure. The advantages in the structural properties of the SiC MOSFET device face the challenges in terms of the costing of the device. In this paper a single phase close loop control rectifier with switching device as SiC MOSFET and diodes as Schottky SiC diode is proposed which minimizes the reverse recovery losses of semiconductor switches which gets wipe out. Proposed rectifier is designed for powering the high precision calibration of Direct Current Current Transformer (DCCT) which works on the Hall Effect principle for high DC current measurements of Kilo ampere range. The circuit operational analysis and simulation presented validate the advantages of proposed rectifier in comparison with traditional circuit configuration.","PeriodicalId":174411,"journal":{"name":"2020 International Conference for Emerging Technology (INCET)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125161575","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 : 2020-06-01DOI: 10.1109/incet49848.2020.9154115
Nikita Rajeshkumar Bagrecha, Ishaq Mustafa Polishwala, P. Mehrotra, Rishabh Sharma, B. Thakare
With ever-evolving technologies, the banking systems can update from their traditional methodologies to a digital, immutable, distributed ledger that can be implemented via Blockchain. Blockchain Technology is a distributed peer to peer linked structure which can solve the problem of maintaining and recording transactions in a banking system. Blockchain provides properties like transparency, robustness, auditability, and security. This paper aims at giving these functionalities in a distributed banking system using blockchain, which will be at par with the current methodologies. It will also focus on the limitations while implementing blockchain and future scope.
{"title":"Decentralised Blockchain Technology: Application in Banking Sector","authors":"Nikita Rajeshkumar Bagrecha, Ishaq Mustafa Polishwala, P. Mehrotra, Rishabh Sharma, B. Thakare","doi":"10.1109/incet49848.2020.9154115","DOIUrl":"https://doi.org/10.1109/incet49848.2020.9154115","url":null,"abstract":"With ever-evolving technologies, the banking systems can update from their traditional methodologies to a digital, immutable, distributed ledger that can be implemented via Blockchain. Blockchain Technology is a distributed peer to peer linked structure which can solve the problem of maintaining and recording transactions in a banking system. Blockchain provides properties like transparency, robustness, auditability, and security. This paper aims at giving these functionalities in a distributed banking system using blockchain, which will be at par with the current methodologies. It will also focus on the limitations while implementing blockchain and future scope.","PeriodicalId":174411,"journal":{"name":"2020 International Conference for Emerging Technology (INCET)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132349303","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 : 2020-06-01DOI: 10.1109/incet49848.2020.9154141
Meha Dave, Rutvik Patel, Ishwariy Joshi, B. Goradiya
Technological advancements in the drone sector posed an arduous challenge of enhancing the collisiontolerance competence of an Unmanned Aerial Vehicle(UAV). This paper presents the design and system integration of an IoT-enabled UAV which comprises a 3D designed and printed spherical frame wound across the UAV consisting of a high definition camera that demonstrates processing of the video feed captured using machine learning algorithm. A truncated icosahedron shaped protective frame is designed such that it can bounce and roll in the near proximity of objects as well as humans, thereby proving to be crash-resistant. Hence, it offers close scrutinization, surveying and inspection of various structures and analyses them using a machine learning model. Another novel feature of this UAV is the sensor module composed of various detachable sensors used for applicationspecific purposes like gas-leakage detection, air-quality monitoring, temperature, humidity etc. in confined and complex environments. These features of the UAV, on collaborating with various indoor and outdoor applications contribute towards the versatility of this drone. The UAV is integrated with LoRa modules and is used for seamless connectivity and networking over astonishingly great distances. The final prototype of this design was successfully flight tested numerous times and was found to be efficient, robust and stable.
{"title":"Versatile Multipurpose Crashproof UAV: Machine Learning and IoT approach","authors":"Meha Dave, Rutvik Patel, Ishwariy Joshi, B. Goradiya","doi":"10.1109/incet49848.2020.9154141","DOIUrl":"https://doi.org/10.1109/incet49848.2020.9154141","url":null,"abstract":"Technological advancements in the drone sector posed an arduous challenge of enhancing the collisiontolerance competence of an Unmanned Aerial Vehicle(UAV). This paper presents the design and system integration of an IoT-enabled UAV which comprises a 3D designed and printed spherical frame wound across the UAV consisting of a high definition camera that demonstrates processing of the video feed captured using machine learning algorithm. A truncated icosahedron shaped protective frame is designed such that it can bounce and roll in the near proximity of objects as well as humans, thereby proving to be crash-resistant. Hence, it offers close scrutinization, surveying and inspection of various structures and analyses them using a machine learning model. Another novel feature of this UAV is the sensor module composed of various detachable sensors used for applicationspecific purposes like gas-leakage detection, air-quality monitoring, temperature, humidity etc. in confined and complex environments. These features of the UAV, on collaborating with various indoor and outdoor applications contribute towards the versatility of this drone. The UAV is integrated with LoRa modules and is used for seamless connectivity and networking over astonishingly great distances. The final prototype of this design was successfully flight tested numerous times and was found to be efficient, robust and stable.","PeriodicalId":174411,"journal":{"name":"2020 International Conference for Emerging Technology (INCET)","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133860965","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}
One-third of the total food produced gets wasted according to the Food And Agriculture Association of the United Nations. This wastage accounts for 1.3 billion tonnes and the scarcity of food is one of the major concerns globally. This paper presents comprehensive research on various factors that lead to the wastage of food in the retail sector. And a robust methodology is proposed which aims at reducing the waste to as minimal as possible in this sector. A method is proposed which integrates the inventory prediction and forecasting technique with smart dustbins which uses state of the art object detection technique to analyze the waste that gets thrown into bins in order to provide with insights to help optimize the use of raw materials that are used in preparing food and further redistribution and valorization of unpredictable waste. Thus producing minimal food waste.
{"title":"Minimization of Food Waste in Retail Sector using Time-Series Analysis and Object Detection Algorithm","authors":"Harsh Agarwal, Bhavya Ahir, Pramod J. Bide, Somil Jain, Harshit Barot","doi":"10.1109/incet49848.2020.9154156","DOIUrl":"https://doi.org/10.1109/incet49848.2020.9154156","url":null,"abstract":"One-third of the total food produced gets wasted according to the Food And Agriculture Association of the United Nations. This wastage accounts for 1.3 billion tonnes and the scarcity of food is one of the major concerns globally. This paper presents comprehensive research on various factors that lead to the wastage of food in the retail sector. And a robust methodology is proposed which aims at reducing the waste to as minimal as possible in this sector. A method is proposed which integrates the inventory prediction and forecasting technique with smart dustbins which uses state of the art object detection technique to analyze the waste that gets thrown into bins in order to provide with insights to help optimize the use of raw materials that are used in preparing food and further redistribution and valorization of unpredictable waste. Thus producing minimal food waste.","PeriodicalId":174411,"journal":{"name":"2020 International Conference for Emerging Technology (INCET)","volume":"154 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116225352","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：