Pub Date : 2019-11-01DOI: 10.1109/SMART46866.2019.9117378
Lakshmi Mandal, N. D. Jana
Traditional drug designing and discovery processes are a very time consuming, expensive and challenging tasks to produce a new drug in the market. Computer Aided Drug Design (CADD) is a promising approach that is cost effective as well as speeds up the drug designing process. CADD is a computational methods which provides resources for simplifying the design and discovery of a new drug. At molecular level, a drug binds to the target protein and neutralizes the disease. Therefore, identification of active molecules which can bind to the target protein is an essential part of CADD. In this paper, the back propagation neural network model is employed for predicting inactive or active molecules, which provides chemical compounds with desirable properties for drug design. The proposed approach demonstrates 99% prediction accuracy on the dataset which consists of active and inactive molecules taken from PubChem data repository.
{"title":"Prediction of Active Drug Molecule using Back-Propagation Neural Network","authors":"Lakshmi Mandal, N. D. Jana","doi":"10.1109/SMART46866.2019.9117378","DOIUrl":"https://doi.org/10.1109/SMART46866.2019.9117378","url":null,"abstract":"Traditional drug designing and discovery processes are a very time consuming, expensive and challenging tasks to produce a new drug in the market. Computer Aided Drug Design (CADD) is a promising approach that is cost effective as well as speeds up the drug designing process. CADD is a computational methods which provides resources for simplifying the design and discovery of a new drug. At molecular level, a drug binds to the target protein and neutralizes the disease. Therefore, identification of active molecules which can bind to the target protein is an essential part of CADD. In this paper, the back propagation neural network model is employed for predicting inactive or active molecules, which provides chemical compounds with desirable properties for drug design. The proposed approach demonstrates 99% prediction accuracy on the dataset which consists of active and inactive molecules taken from PubChem data repository.","PeriodicalId":328124,"journal":{"name":"2019 8th International Conference System Modeling and Advancement in Research Trends (SMART)","volume":"09 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127379119","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 : 2019-11-01DOI: 10.1109/SMART46866.2019.9117554
Mushfiqus Salehin, Ashik Ahamed Aman Rafat, Fazle Rabby Khan, Sheikh Abujar
This age of data-driven innovation has made automated relevant and important data extraction a necessity. Automated text summarization has made it possible to extract relevant information from large amounts of data without needing any supervision. But the extracted information could seem artificial at times and that's where the abstractive summarization method tries to mimic the human way of summarizing by creating coherent summaries using novel words and sentences. Due to the difficult nature of this method, before deep learning, there hasn't been much progress. So, during this work, we have proposed an attention mechanism-based sequence-to-sequence network to generate abstractive summaries of Bengali text. We have also built our own large Bengali news dataset and applied our model on it to show indeed deep sequence-to-sequence neural networks can achieve good performance summarizing Bengali texts.
{"title":"Generating Bengali News Headlines: An Attentive Approach with Sequence-to-Sequence Networks","authors":"Mushfiqus Salehin, Ashik Ahamed Aman Rafat, Fazle Rabby Khan, Sheikh Abujar","doi":"10.1109/SMART46866.2019.9117554","DOIUrl":"https://doi.org/10.1109/SMART46866.2019.9117554","url":null,"abstract":"This age of data-driven innovation has made automated relevant and important data extraction a necessity. Automated text summarization has made it possible to extract relevant information from large amounts of data without needing any supervision. But the extracted information could seem artificial at times and that's where the abstractive summarization method tries to mimic the human way of summarizing by creating coherent summaries using novel words and sentences. Due to the difficult nature of this method, before deep learning, there hasn't been much progress. So, during this work, we have proposed an attention mechanism-based sequence-to-sequence network to generate abstractive summaries of Bengali text. We have also built our own large Bengali news dataset and applied our model on it to show indeed deep sequence-to-sequence neural networks can achieve good performance summarizing Bengali texts.","PeriodicalId":328124,"journal":{"name":"2019 8th International Conference System Modeling and Advancement in Research Trends (SMART)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116834125","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 : 2019-11-01DOI: 10.1109/SMART46866.2019.9117452
Charu Negi, A. Shukla
Coloring a graph is a known and a classical problem in graph theory. It is also a known NP problem. In a graph G, the solution of coloring a graph is about coloring all the vertices of the graph G in such a manner so that any two adjacent vertices do not get the similar color. This problem also requires that the number of colors that are used for coloring the graph are also minimum. There are several ways in which a graph can be presented. For example an adjacency matrix. In our paper we have used adjacency matrix to showcase the graph coloring solution. An adjacency matrix is a 2 dimensional array. The rows and columns of this array are therefore can also be called as the vertices of the graph. The value 0 indicates that the vertex on × row and y column is not connected. However if the value is 1 it indicates that the vertex on × row and y column are connected to each other. We have proposed an algorithm using which we calculate the diagonal values that is for which × row and y column value is same. These will represent the final colors allocated to the vertices.
{"title":"An Approach for Solving the Graph Coloring Problem using Adjacency Matrix","authors":"Charu Negi, A. Shukla","doi":"10.1109/SMART46866.2019.9117452","DOIUrl":"https://doi.org/10.1109/SMART46866.2019.9117452","url":null,"abstract":"Coloring a graph is a known and a classical problem in graph theory. It is also a known NP problem. In a graph G, the solution of coloring a graph is about coloring all the vertices of the graph G in such a manner so that any two adjacent vertices do not get the similar color. This problem also requires that the number of colors that are used for coloring the graph are also minimum. There are several ways in which a graph can be presented. For example an adjacency matrix. In our paper we have used adjacency matrix to showcase the graph coloring solution. An adjacency matrix is a 2 dimensional array. The rows and columns of this array are therefore can also be called as the vertices of the graph. The value 0 indicates that the vertex on × row and y column is not connected. However if the value is 1 it indicates that the vertex on × row and y column are connected to each other. We have proposed an algorithm using which we calculate the diagonal values that is for which × row and y column value is same. These will represent the final colors allocated to the vertices.","PeriodicalId":328124,"journal":{"name":"2019 8th International Conference System Modeling and Advancement in Research Trends (SMART)","volume":"185 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122432865","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 : 2019-11-01DOI: 10.1109/SMART46866.2019.9117298
D. Parygin
The paper discusses new approaches to the management of urban areas. The concept of exoactive management is proposed. The “Functional Reactor” model of exoactive management is described. The components of the regulatory block of such a model are considered in detail. The concept of proactive planning is introduced. The approach to building decision-making support systems based on proactive urban computing is described to put the proposed concept into practice. The approach includes representing the tasks of urban management as active agents. The tasks of collecting and evaluating information about ongoing events as part of a comprehensive real-time monitoring of urban processes are considered. Problem solving in the transport system management is given as an example of the application of the proposed DMSS and proactive urban computing methodology.
{"title":"Implementation of Exoactive Management Model for Urbanized Area: Real-Time Monitoring and Proactive Planning","authors":"D. Parygin","doi":"10.1109/SMART46866.2019.9117298","DOIUrl":"https://doi.org/10.1109/SMART46866.2019.9117298","url":null,"abstract":"The paper discusses new approaches to the management of urban areas. The concept of exoactive management is proposed. The “Functional Reactor” model of exoactive management is described. The components of the regulatory block of such a model are considered in detail. The concept of proactive planning is introduced. The approach to building decision-making support systems based on proactive urban computing is described to put the proposed concept into practice. The approach includes representing the tasks of urban management as active agents. The tasks of collecting and evaluating information about ongoing events as part of a comprehensive real-time monitoring of urban processes are considered. Problem solving in the transport system management is given as an example of the application of the proposed DMSS and proactive urban computing methodology.","PeriodicalId":328124,"journal":{"name":"2019 8th International Conference System Modeling and Advancement in Research Trends (SMART)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129310599","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 : 2019-11-01DOI: 10.1109/SMART46866.2019.9117292
A. Sattar, Md. Shohel, Fahima Sultana Banni, Amit Kumar Bala Antu
Grocery shopping is a frequent event on our life that has a great impact on climate change and direct connection with health issues. The purchases of organic and healthy foods are increasing but still, we could not make any breach between our customer's awareness and feasting of environment-friendly healthy foods. This paper aims at providing information about products and helps consumers understand their food for making a better choice for their health and environment. We designed a system that provides information on nutritional values and the environmental impact of foods and advice users to make a food choice. It also keeps track of monthly grocery expenditure and shows how much of it is healthy and eco-friendly. The system works by scanning QR codes and AR markers that are embedded with the products. It will be a perfect assistant for grocery shopping for consumers of any age.
{"title":"A Conceptual Design to Encourage Sustainable Grocery Shopping: A Perspective in Bangladesh","authors":"A. Sattar, Md. Shohel, Fahima Sultana Banni, Amit Kumar Bala Antu","doi":"10.1109/SMART46866.2019.9117292","DOIUrl":"https://doi.org/10.1109/SMART46866.2019.9117292","url":null,"abstract":"Grocery shopping is a frequent event on our life that has a great impact on climate change and direct connection with health issues. The purchases of organic and healthy foods are increasing but still, we could not make any breach between our customer's awareness and feasting of environment-friendly healthy foods. This paper aims at providing information about products and helps consumers understand their food for making a better choice for their health and environment. We designed a system that provides information on nutritional values and the environmental impact of foods and advice users to make a food choice. It also keeps track of monthly grocery expenditure and shows how much of it is healthy and eco-friendly. The system works by scanning QR codes and AR markers that are embedded with the products. It will be a perfect assistant for grocery shopping for consumers of any age.","PeriodicalId":328124,"journal":{"name":"2019 8th International Conference System Modeling and Advancement in Research Trends (SMART)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114595713","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 : 2019-11-01DOI: 10.1109/SMART46866.2019.9117223
P. Verma, Charu Negi
With the advent of various technologies, the cloud computing has become one of the most popular research topics. Cloud computing is very important because it allows to converge a set of technologies at a convenient go. Cloud Computing is ubiquitous given the emerging technologies such as edge and fog computing. We have studied various research papers to compile and bring forth the application and challenges that are currently present in the implementation. This review paper describes the setup of a fog and briefly touches the benefits of the fog computing. We have also described the use of fog computing with respect to the Smart cities concept.
{"title":"An Overview of Fog Computing in the Present Scenario","authors":"P. Verma, Charu Negi","doi":"10.1109/SMART46866.2019.9117223","DOIUrl":"https://doi.org/10.1109/SMART46866.2019.9117223","url":null,"abstract":"With the advent of various technologies, the cloud computing has become one of the most popular research topics. Cloud computing is very important because it allows to converge a set of technologies at a convenient go. Cloud Computing is ubiquitous given the emerging technologies such as edge and fog computing. We have studied various research papers to compile and bring forth the application and challenges that are currently present in the implementation. This review paper describes the setup of a fog and briefly touches the benefits of the fog computing. We have also described the use of fog computing with respect to the Smart cities concept.","PeriodicalId":328124,"journal":{"name":"2019 8th International Conference System Modeling and Advancement in Research Trends (SMART)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123430942","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 : 2019-11-01DOI: 10.1109/SMART46866.2019.9117420
A. Matokhina, S. Dragunov, D. Volodina, R. Fokin
Trends in modern education, especially in the field of continuing education and secondary special education, are aimed at the rapid development of skills and the acquisition of professional competencies. Reducing the duration of educational programs to six months leads to the need to apply new educational technologies. Specialties associated with the study of the principles of work with high-tech equipment, such as milling and turning machines with numerical control, 3D printers, machines for laser engraving and cutting, require additional training before admission to the equipment. The use of augmented and virtual reality tools to develop skills in working with high-tech equipment can significantly reduce training time, improve the quality of training and significantly reduce students' possible mistakes when working with equipment, which can lead to breakdown of the equipment itself and risks associated with the student's health. The article discusses virtual simulators for developing skills of rapid prototyping and processing of materials. The simulator allows you to study the components of numerically controlled machines, laser engravers, and 3D printers, get acquainted with the principle of their work, learn the features of working with different materials, the finer settings of the machines, as well as the rules for the maintenance of machines. The article describes the principles of the simulator and the process of their design and development, describes the composition of the geometric models of simulators, job options and scenarios of the simulators. An example of the simulator.
{"title":"VR Simulators for Teaching Rapid Prototyping and Material Processing Techniques","authors":"A. Matokhina, S. Dragunov, D. Volodina, R. Fokin","doi":"10.1109/SMART46866.2019.9117420","DOIUrl":"https://doi.org/10.1109/SMART46866.2019.9117420","url":null,"abstract":"Trends in modern education, especially in the field of continuing education and secondary special education, are aimed at the rapid development of skills and the acquisition of professional competencies. Reducing the duration of educational programs to six months leads to the need to apply new educational technologies. Specialties associated with the study of the principles of work with high-tech equipment, such as milling and turning machines with numerical control, 3D printers, machines for laser engraving and cutting, require additional training before admission to the equipment. The use of augmented and virtual reality tools to develop skills in working with high-tech equipment can significantly reduce training time, improve the quality of training and significantly reduce students' possible mistakes when working with equipment, which can lead to breakdown of the equipment itself and risks associated with the student's health. The article discusses virtual simulators for developing skills of rapid prototyping and processing of materials. The simulator allows you to study the components of numerically controlled machines, laser engravers, and 3D printers, get acquainted with the principle of their work, learn the features of working with different materials, the finer settings of the machines, as well as the rules for the maintenance of machines. The article describes the principles of the simulator and the process of their design and development, describes the composition of the geometric models of simulators, job options and scenarios of the simulators. An example of the simulator.","PeriodicalId":328124,"journal":{"name":"2019 8th International Conference System Modeling and Advancement in Research Trends (SMART)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132759104","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 : 2019-11-01DOI: 10.1109/SMART46866.2019.9117410
Lokesh Pawar, Gaurav Bathla, M. Malhotra, Gulista Khan
There has been much talk about ‘Smart’ or ‘intelligent’ cities these days. All around the world government officials, administrators and technocrats are working as a team to design an intelligent city that will provide an easy and better life to the people living there. As now there is Smart Cities Mission is going on the cities which are declared by the government. Smart City Mission, is an urban renewal and retrofitting program by the Government of India with the mission to develop 100 cities across the country making them citizen friendly and sustainable. According to my survey on Smart cities of State Rajasthan a big role was played by telecommunication, internet, Road Transportation, Railways including Metro in Jaipur and also Physical as well as Cyber securities.
{"title":"Role of Internet of Things in Shaping Cities of Rajasthan as Smart Cities","authors":"Lokesh Pawar, Gaurav Bathla, M. Malhotra, Gulista Khan","doi":"10.1109/SMART46866.2019.9117410","DOIUrl":"https://doi.org/10.1109/SMART46866.2019.9117410","url":null,"abstract":"There has been much talk about ‘Smart’ or ‘intelligent’ cities these days. All around the world government officials, administrators and technocrats are working as a team to design an intelligent city that will provide an easy and better life to the people living there. As now there is Smart Cities Mission is going on the cities which are declared by the government. Smart City Mission, is an urban renewal and retrofitting program by the Government of India with the mission to develop 100 cities across the country making them citizen friendly and sustainable. According to my survey on Smart cities of State Rajasthan a big role was played by telecommunication, internet, Road Transportation, Railways including Metro in Jaipur and also Physical as well as Cyber securities.","PeriodicalId":328124,"journal":{"name":"2019 8th International Conference System Modeling and Advancement in Research Trends (SMART)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114953393","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 : 2019-11-01DOI: 10.1109/SMART46866.2019.9117272
Khushboo Chaturvadi, G. Goswami, Deepika Chauhan
Interference due to harmonics, and generated current distortions by power electronic devices, has become a serious problem in present time. As now a days converters, which are nonlinear devices, are more and more frequently used in industrial applications, in transmission and distribution systems and in power plants. The use of non linear load by industrial or commercial purpose generates harmonic distortion, poor power factor, voltage instability, imbalance impact on the efficiency of electrical equipments in our system. The most suitable way to solve these problems is the introduction of synchronous link converter for power quality analysis for non linear loads. This paper presents the use of SLC to overcome these problems[11]. Fast Fourier transforms describe the total harmonic distortions (THD) in the line current for given non-linear system. PID controller is used here to control the action of active power filter according to required current generation, which is to be injected in distorted supply current to make it sinusoidal. The models are designed and simulated using MATLAB/SIMULINK software.
{"title":"Synchronous Link Converter based Scheme of Harmonic Filtration for Non-Linear Load","authors":"Khushboo Chaturvadi, G. Goswami, Deepika Chauhan","doi":"10.1109/SMART46866.2019.9117272","DOIUrl":"https://doi.org/10.1109/SMART46866.2019.9117272","url":null,"abstract":"Interference due to harmonics, and generated current distortions by power electronic devices, has become a serious problem in present time. As now a days converters, which are nonlinear devices, are more and more frequently used in industrial applications, in transmission and distribution systems and in power plants. The use of non linear load by industrial or commercial purpose generates harmonic distortion, poor power factor, voltage instability, imbalance impact on the efficiency of electrical equipments in our system. The most suitable way to solve these problems is the introduction of synchronous link converter for power quality analysis for non linear loads. This paper presents the use of SLC to overcome these problems[11]. Fast Fourier transforms describe the total harmonic distortions (THD) in the line current for given non-linear system. PID controller is used here to control the action of active power filter according to required current generation, which is to be injected in distorted supply current to make it sinusoidal. The models are designed and simulated using MATLAB/SIMULINK software.","PeriodicalId":328124,"journal":{"name":"2019 8th International Conference System Modeling and Advancement in Research Trends (SMART)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114298773","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 : 2019-11-01DOI: 10.1109/SMART46866.2019.9117442
Md. Imran Hossain, Bidhan Paul, A. Sattar, M. Islam
In Bangladesh huge amount of agricultural products are destroying by the pests every year due to lack of poor knowledge about pest detection. As we know that manually identification is difficult for a farmer. So, classic pest detection and identification can ensure excellent productivity. This would be a fulfil research in the technical area of computer vision. The dataset is typically random cropping of square size images together with grayscale color and brightness shifts are used here. Here Convolutional Neural Network (CNN) will be used to do the image recognition and the algorithm will provide an optimal architecture for image recognition. The big idea behind CNNs is that a local understanding of an image is good enough. The research contains the proportions of validation accuracy of 93.46%. This approach resulted in the agriculture sector that will help a farmer to recognize the insect from harvest. The computer vision and object recognition can be used with image processing to create an interactive and enlarge user experience of the real world. This research aims to demonstrate the possibility and test the performance of the project which only focuses on insect detection in crop plants that recognize the pest which can help a farmer to get immediate solution of harvest problem.
{"title":"A Convolutional Neural Network Approach to Recognize the Insect: A Perspective in Bangladesh","authors":"Md. Imran Hossain, Bidhan Paul, A. Sattar, M. Islam","doi":"10.1109/SMART46866.2019.9117442","DOIUrl":"https://doi.org/10.1109/SMART46866.2019.9117442","url":null,"abstract":"In Bangladesh huge amount of agricultural products are destroying by the pests every year due to lack of poor knowledge about pest detection. As we know that manually identification is difficult for a farmer. So, classic pest detection and identification can ensure excellent productivity. This would be a fulfil research in the technical area of computer vision. The dataset is typically random cropping of square size images together with grayscale color and brightness shifts are used here. Here Convolutional Neural Network (CNN) will be used to do the image recognition and the algorithm will provide an optimal architecture for image recognition. The big idea behind CNNs is that a local understanding of an image is good enough. The research contains the proportions of validation accuracy of 93.46%. This approach resulted in the agriculture sector that will help a farmer to recognize the insect from harvest. The computer vision and object recognition can be used with image processing to create an interactive and enlarge user experience of the real world. This research aims to demonstrate the possibility and test the performance of the project which only focuses on insect detection in crop plants that recognize the pest which can help a farmer to get immediate solution of harvest problem.","PeriodicalId":328124,"journal":{"name":"2019 8th International Conference System Modeling and Advancement in Research Trends (SMART)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128332757","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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