Pub Date : 2021-06-03DOI: 10.1109/ICOEI51242.2021.9452884
Gulfishan Mobin, Abhishek Roy
since the inception of human civilization, the invention of fire and wheel has played a vital role in its gradual evolution through several decades. Precisely, after human beings have learned to cook tasty food using fire, they also faced the issue of immediate paucity of food in their vicinity. As a result, they had to travel from one location to another location in search of food, shelter and for a better lifestyle. This eternal search for a better lifestyle is still carried forward in this present generation. With gradual scientific developments, its applications have made this search more easier and convenient for us. Mainly due to the attraction of urban and comfortable lifestyles, this flow of masses directs from rural areas to urban areas, which has created huge pressure over the lifestyle and particularly the transportation system of urban areas. The economic development of any city is dependent on its business friendly environment. Researchers have applied several advanced technologies to implement the smart transportation system within and out a city to roll out urban lifestyle in full gear. In this paper authors have studied those existing research works to find scope for further contribution in the area of smart transportation system in a more integrated manner.
{"title":"A literature review on cloud based smart transport system","authors":"Gulfishan Mobin, Abhishek Roy","doi":"10.1109/ICOEI51242.2021.9452884","DOIUrl":"https://doi.org/10.1109/ICOEI51242.2021.9452884","url":null,"abstract":"since the inception of human civilization, the invention of fire and wheel has played a vital role in its gradual evolution through several decades. Precisely, after human beings have learned to cook tasty food using fire, they also faced the issue of immediate paucity of food in their vicinity. As a result, they had to travel from one location to another location in search of food, shelter and for a better lifestyle. This eternal search for a better lifestyle is still carried forward in this present generation. With gradual scientific developments, its applications have made this search more easier and convenient for us. Mainly due to the attraction of urban and comfortable lifestyles, this flow of masses directs from rural areas to urban areas, which has created huge pressure over the lifestyle and particularly the transportation system of urban areas. The economic development of any city is dependent on its business friendly environment. Researchers have applied several advanced technologies to implement the smart transportation system within and out a city to roll out urban lifestyle in full gear. In this paper authors have studied those existing research works to find scope for further contribution in the area of smart transportation system in a more integrated manner.","PeriodicalId":420826,"journal":{"name":"2021 5th International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132283600","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 : 2021-06-03DOI: 10.1109/ICOEI51242.2021.9452933
Biqin Huang
In the initial stage of learning Japanese, the most common problem is a variety of mistakes in pronunciation. The main reason for these errors is the difference between Chinese and Japanese in pronunciation position and language system. Language learning should combine theory with practice and spend more time on practice with students. Practice has proved that language mastery requires a lot of practical practice, and too much theory may hinder students' flexible mastery of the language. Some media data, such as audio data, can be converted into time series for research. The similarity measurement (pattern matching) of the converted speech time series can find the similar speech signals, which can also be called speech recognition technology. With the rapid development of intelligent control technology, speech signal processing has attracted extensive attention and high attention of researchers.
{"title":"Phonetic Feature Extraction and Recognition Model in Japanese Pronunciation Practice","authors":"Biqin Huang","doi":"10.1109/ICOEI51242.2021.9452933","DOIUrl":"https://doi.org/10.1109/ICOEI51242.2021.9452933","url":null,"abstract":"In the initial stage of learning Japanese, the most common problem is a variety of mistakes in pronunciation. The main reason for these errors is the difference between Chinese and Japanese in pronunciation position and language system. Language learning should combine theory with practice and spend more time on practice with students. Practice has proved that language mastery requires a lot of practical practice, and too much theory may hinder students' flexible mastery of the language. Some media data, such as audio data, can be converted into time series for research. The similarity measurement (pattern matching) of the converted speech time series can find the similar speech signals, which can also be called speech recognition technology. With the rapid development of intelligent control technology, speech signal processing has attracted extensive attention and high attention of researchers.","PeriodicalId":420826,"journal":{"name":"2021 5th International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126955127","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 : 2021-06-03DOI: 10.1109/ICOEI51242.2021.9452739
Guojing Zhang
Intelligent system construction and data analysis of social service platform in vocational colleges is studied. There are many theories and methods related to data preprocessing, and they have been applied in many fields. In the process of data collection, it will be affected by the environment, usage and other aspects, resulting in the collected data can not be directly processed as an ideal sample. Hence, the PCA is applied for the data dimensional reduction, and the data distribution pattern is then considered for the comprehensive modelling. The application scenario is selected as the social service platform. The data is studied based on the integration of the theoretical model. The accuracy and efficiency are both improved.
{"title":"Intelligent System Construction and Data Analysis of Social Service Platform in Vocational Colleges","authors":"Guojing Zhang","doi":"10.1109/ICOEI51242.2021.9452739","DOIUrl":"https://doi.org/10.1109/ICOEI51242.2021.9452739","url":null,"abstract":"Intelligent system construction and data analysis of social service platform in vocational colleges is studied. There are many theories and methods related to data preprocessing, and they have been applied in many fields. In the process of data collection, it will be affected by the environment, usage and other aspects, resulting in the collected data can not be directly processed as an ideal sample. Hence, the PCA is applied for the data dimensional reduction, and the data distribution pattern is then considered for the comprehensive modelling. The application scenario is selected as the social service platform. The data is studied based on the integration of the theoretical model. The accuracy and efficiency are both improved.","PeriodicalId":420826,"journal":{"name":"2021 5th International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130629715","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 : 2021-06-03DOI: 10.1109/ICOEI51242.2021.9453078
Roop Chandrika Mallela, Reddy Lakshmi Bhavani, B. Ankayarkanni
Health is the most important in every human's life. Weekly or monthly check up of one's health is most important for the prevention and also to stay healthy. Healthcare is the most crucial parts of the human life. Nowadays, so many are not willing to go to hospital, due to work overload and negligence of their health. The doctors and nurses are putting up maximum efforts to save people's lives without even considering their own loves. There are also some villages which lack medical facilities. Nowadays, the individual is not having that much time to go for health check-up. Recently, due to covid-19, no one is willing to go to hospital for health checkup due to the fear of spreading virus. In this situation, technology plays and important role. The domain we used here is Machine Learning, it is the technique by which machines can learn from past experiences like a human being and make it efficient in future. ML is the domain which is widely used nowadays and it is the most efficient domain in health care. We will develop a GUI to get the symptoms from the user. The models used in this paper are Naive Bayes and Decision Tree. The output is the disease, the accuracy of model, its definition and the treatment of the particular disease based on the symptoms given by the individual. As we all know the saying which tells that “Prevention of the disease at an early stage is much better than the cure which we take after we get affected by the disease”. This paper shows detailed explanation of how to find the diseases from symptoms, so that the individual can contact the respective doctor and stay healthy at an early stage.
{"title":"Disease Prediction Using Machine Learning Techniques","authors":"Roop Chandrika Mallela, Reddy Lakshmi Bhavani, B. Ankayarkanni","doi":"10.1109/ICOEI51242.2021.9453078","DOIUrl":"https://doi.org/10.1109/ICOEI51242.2021.9453078","url":null,"abstract":"Health is the most important in every human's life. Weekly or monthly check up of one's health is most important for the prevention and also to stay healthy. Healthcare is the most crucial parts of the human life. Nowadays, so many are not willing to go to hospital, due to work overload and negligence of their health. The doctors and nurses are putting up maximum efforts to save people's lives without even considering their own loves. There are also some villages which lack medical facilities. Nowadays, the individual is not having that much time to go for health check-up. Recently, due to covid-19, no one is willing to go to hospital for health checkup due to the fear of spreading virus. In this situation, technology plays and important role. The domain we used here is Machine Learning, it is the technique by which machines can learn from past experiences like a human being and make it efficient in future. ML is the domain which is widely used nowadays and it is the most efficient domain in health care. We will develop a GUI to get the symptoms from the user. The models used in this paper are Naive Bayes and Decision Tree. The output is the disease, the accuracy of model, its definition and the treatment of the particular disease based on the symptoms given by the individual. As we all know the saying which tells that “Prevention of the disease at an early stage is much better than the cure which we take after we get affected by the disease”. This paper shows detailed explanation of how to find the diseases from symptoms, so that the individual can contact the respective doctor and stay healthy at an early stage.","PeriodicalId":420826,"journal":{"name":"2021 5th International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116863609","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 : 2021-06-03DOI: 10.1109/ICOEI51242.2021.9452747
Amit Abhishek, P. Suraj
In the proposed paper, we presented a dual-band applicative antenna for satellite communication. According to WARC-92, a band with 13.75-14.0 GHz has been allocated for FSS considering a primary basis. This band covers by our proposed antenna and at the same time, another band which is also a part of satellite communication term as 3-centimeter wave i.e. operating frequency is 10GHz. This band is allocated to amateur radio and satellite use as far as a secondary basis is considered. The antenna size is 35.5x35x0.8mm3and the substrate is Rogers RT-Duroid with relative permittivity (€r) of 2.2. The reflection coefficient| S11| observe at the 10 GHz is -31.43 dB, at the 13.75 GHz is - 18.14dB and at 14.0GHz is -13.8 dB. The bandwidth covered by the first band i.e. 10 GHz is 100 MHz. The second band resonating from 13.2 GHz (lower Ku band) to 14.4 GHz (upper Ku band) under which our required band is easily covered with an ample amount of return loss. The peak gain of 7.642 dB and 6.81 dB is observed at respective bands. The simulation is done with HFSS software.
{"title":"Dual-Band Antenna For Fixed Satellite Service With Amateur Radio","authors":"Amit Abhishek, P. Suraj","doi":"10.1109/ICOEI51242.2021.9452747","DOIUrl":"https://doi.org/10.1109/ICOEI51242.2021.9452747","url":null,"abstract":"In the proposed paper, we presented a dual-band applicative antenna for satellite communication. According to WARC-92, a band with 13.75-14.0 GHz has been allocated for FSS considering a primary basis. This band covers by our proposed antenna and at the same time, another band which is also a part of satellite communication term as 3-centimeter wave i.e. operating frequency is 10GHz. This band is allocated to amateur radio and satellite use as far as a secondary basis is considered. The antenna size is 35.5x35x0.8mm3and the substrate is Rogers RT-Duroid with relative permittivity (€r) of 2.2. The reflection coefficient| S11| observe at the 10 GHz is -31.43 dB, at the 13.75 GHz is - 18.14dB and at 14.0GHz is -13.8 dB. The bandwidth covered by the first band i.e. 10 GHz is 100 MHz. The second band resonating from 13.2 GHz (lower Ku band) to 14.4 GHz (upper Ku band) under which our required band is easily covered with an ample amount of return loss. The peak gain of 7.642 dB and 6.81 dB is observed at respective bands. The simulation is done with HFSS software.","PeriodicalId":420826,"journal":{"name":"2021 5th International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131470839","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 : 2021-06-03DOI: 10.1109/ICOEI51242.2021.9452948
Senathipathi K, G. S, Gokul G, Hari Priya M J
Smart phone use has been gradually growing in recent years, as has the number of Android device users. As the number of Android app users grows, malicious Android apps are being developed as a tool to steal sensitive data and commit identity theft / fraud on mobile banks and wallets. There are a plethora of malware identification tools and apps on the market. However, new complex malicious apps generated by intruders or hackers need powerful and efficient malicious application detection tools. To begin, we must collect a dataset of prior malicious apps as a training set, and then compare the training dataset to the trained dataset using the CNN algorithm and the RNN algorithm. Open source datasets, such as Kaggle datasets, were used to build the datasets. We use a pre-processing and attribute extraction technique before running the algorithm. Preprocessing of data that is related to independent variables or data features. It ultimately assists in the normalisation of data within a specified boundary. Standard scalar data is usually distributed within each function, and will scale them to the point where the distribution is zero and the root mean square deviation is one, feature extraction techniques such as the tf-idf transform and data pruning are used. It also aids in the acceleration of algorithmic calculations. Using this algorithm, we can detect threatful Mobile applications.
{"title":"SIGPID For Machine Learning based Android Malware Detection","authors":"Senathipathi K, G. S, Gokul G, Hari Priya M J","doi":"10.1109/ICOEI51242.2021.9452948","DOIUrl":"https://doi.org/10.1109/ICOEI51242.2021.9452948","url":null,"abstract":"Smart phone use has been gradually growing in recent years, as has the number of Android device users. As the number of Android app users grows, malicious Android apps are being developed as a tool to steal sensitive data and commit identity theft / fraud on mobile banks and wallets. There are a plethora of malware identification tools and apps on the market. However, new complex malicious apps generated by intruders or hackers need powerful and efficient malicious application detection tools. To begin, we must collect a dataset of prior malicious apps as a training set, and then compare the training dataset to the trained dataset using the CNN algorithm and the RNN algorithm. Open source datasets, such as Kaggle datasets, were used to build the datasets. We use a pre-processing and attribute extraction technique before running the algorithm. Preprocessing of data that is related to independent variables or data features. It ultimately assists in the normalisation of data within a specified boundary. Standard scalar data is usually distributed within each function, and will scale them to the point where the distribution is zero and the root mean square deviation is one, feature extraction techniques such as the tf-idf transform and data pruning are used. It also aids in the acceleration of algorithmic calculations. Using this algorithm, we can detect threatful Mobile applications.","PeriodicalId":420826,"journal":{"name":"2021 5th International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132830082","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 : 2021-06-03DOI: 10.1109/ICOEI51242.2021.9452985
A. Sen, Sowmya Bakka
Over the years, several new technologies have been implemented in order to automate substations, which constitute an integral part of any electric power system. With the advent of the fully automated power grid, known as smart grid, many nations have been able to achieve this. The new international standard IEC 61850 offers several benefits for the design of a substation, the most significant one being the elimination of wired technologies, which has been replaced by wireless technologies such as ZigBee, WiMAX, WLAN, Wireless HART, etc. Wired technology poses several disadvantages such as the need for trenches, manual labor required for assembling and testing of wires and complex installation methods. Wireless technologies act as an easy solution, making wired communication redundant. Thus, extensive research and development of wireless technologies for substation automation is a necessity. This article provides a comprehensive review of the state-of-the-art existing wireless technologies with regards to their features, short comings as well as future work to be incorporated, in order to facilitate further development in this field.
{"title":"A Study of Wireless Communication for Substation Automation","authors":"A. Sen, Sowmya Bakka","doi":"10.1109/ICOEI51242.2021.9452985","DOIUrl":"https://doi.org/10.1109/ICOEI51242.2021.9452985","url":null,"abstract":"Over the years, several new technologies have been implemented in order to automate substations, which constitute an integral part of any electric power system. With the advent of the fully automated power grid, known as smart grid, many nations have been able to achieve this. The new international standard IEC 61850 offers several benefits for the design of a substation, the most significant one being the elimination of wired technologies, which has been replaced by wireless technologies such as ZigBee, WiMAX, WLAN, Wireless HART, etc. Wired technology poses several disadvantages such as the need for trenches, manual labor required for assembling and testing of wires and complex installation methods. Wireless technologies act as an easy solution, making wired communication redundant. Thus, extensive research and development of wireless technologies for substation automation is a necessity. This article provides a comprehensive review of the state-of-the-art existing wireless technologies with regards to their features, short comings as well as future work to be incorporated, in order to facilitate further development in this field.","PeriodicalId":420826,"journal":{"name":"2021 5th International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132017944","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 : 2021-06-03DOI: 10.1109/ICOEI51242.2021.9452928
Xiangde Ji
The rapid development of computer vision promotes the development of face recognition technology from simple application scenarios to complex application scenarios. Nevertheless, the existing face recognition system has a high recognition success rate under certain constraints, but the actual results obtained will be influenced by the external environment. Therefore, the image captured by the camera is fuzzy and low resolution, which leads to the decline of recognition accuracy. Meanwhile, the emergence of digital multimedia technology has brought a lot of convenience to people's lives, and increased the way of cultural exchange. Multimedia technology has been applied in every field of society, which makes the dissemination of information culture has been greatly improved. Under this background, the thinking mode of contemporary college students presents new characteristics, and the value demand presents new orientation. Therefore, the education mode in colleges and universities needs the correct spirit guiding mode and more intuitive behavior demonstration. In this paper, face verification and multimedia technology are applied in the ideological and political education system to provide better suggestions.
{"title":"Online Interactive Ideological Education with Multimedia and Face Verifications","authors":"Xiangde Ji","doi":"10.1109/ICOEI51242.2021.9452928","DOIUrl":"https://doi.org/10.1109/ICOEI51242.2021.9452928","url":null,"abstract":"The rapid development of computer vision promotes the development of face recognition technology from simple application scenarios to complex application scenarios. Nevertheless, the existing face recognition system has a high recognition success rate under certain constraints, but the actual results obtained will be influenced by the external environment. Therefore, the image captured by the camera is fuzzy and low resolution, which leads to the decline of recognition accuracy. Meanwhile, the emergence of digital multimedia technology has brought a lot of convenience to people's lives, and increased the way of cultural exchange. Multimedia technology has been applied in every field of society, which makes the dissemination of information culture has been greatly improved. Under this background, the thinking mode of contemporary college students presents new characteristics, and the value demand presents new orientation. Therefore, the education mode in colleges and universities needs the correct spirit guiding mode and more intuitive behavior demonstration. In this paper, face verification and multimedia technology are applied in the ideological and political education system to provide better suggestions.","PeriodicalId":420826,"journal":{"name":"2021 5th International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132230629","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 : 2021-06-03DOI: 10.1109/ICOEI51242.2021.9452811
S. Venkatachalam
One of the most common issues that new graduates experience is the insufficient understanding of basic concepts. Major skill gaps in this area include a lack of deep comprehension on technical information, lack of customer management abilities, and insufficient knowledge of numerous disciplines. The study has attributed a lack of English communication skills, which they found in 73.63% of applicants, and poor analytical and quantitative skills, which they found in 57.96% of applicants, as a major cause of unemployment. Aptitude tests are conducted to analyze the problem-solving skills of the candidate; this evaluation helps to solve a problem at a given point in time. The proposed study has collected data on students, who had different information about their previous and current academic records, and then different classification algorithms along with the Data Mining Tool (VEKA) are used to analyze academic performance in training and accommodation. This study presents a proposed model based on a classification approach to find a better evaluation method in order to predict the student accommodation. There are many basic classification algorithms and statistical methods that can be used as good resources for classifying student datasets in education. In this article, a fuzzy inference system was used to predict the student performance and improve academic performance. This model can determine the relationship between student achievement and campus placement.
{"title":"Data Mining Classification and analytical model of prediction for Job Placements using Fuzzy Logic","authors":"S. Venkatachalam","doi":"10.1109/ICOEI51242.2021.9452811","DOIUrl":"https://doi.org/10.1109/ICOEI51242.2021.9452811","url":null,"abstract":"One of the most common issues that new graduates experience is the insufficient understanding of basic concepts. Major skill gaps in this area include a lack of deep comprehension on technical information, lack of customer management abilities, and insufficient knowledge of numerous disciplines. The study has attributed a lack of English communication skills, which they found in 73.63% of applicants, and poor analytical and quantitative skills, which they found in 57.96% of applicants, as a major cause of unemployment. Aptitude tests are conducted to analyze the problem-solving skills of the candidate; this evaluation helps to solve a problem at a given point in time. The proposed study has collected data on students, who had different information about their previous and current academic records, and then different classification algorithms along with the Data Mining Tool (VEKA) are used to analyze academic performance in training and accommodation. This study presents a proposed model based on a classification approach to find a better evaluation method in order to predict the student accommodation. There are many basic classification algorithms and statistical methods that can be used as good resources for classifying student datasets in education. In this article, a fuzzy inference system was used to predict the student performance and improve academic performance. This model can determine the relationship between student achievement and campus placement.","PeriodicalId":420826,"journal":{"name":"2021 5th International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130297993","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 : 2021-06-03DOI: 10.1109/ICOEI51242.2021.9452832
S. Srivastava, Prateek Gupta, Pranjal Kumar
Facial expression is a verbal act of speech that is expressed on the face in terms of our emotions. Emotional recognition to identify facial expression plays crucial role in various applications like psychology, linguistics etc. Playing an important role in the fields of artificial intelligence and robotics, the automatic recognition of facial expression is therefore a need for generation. Emotion recognition plays an important role in the area of human machine communication. Emotional recognition is usually done in four stages which include pre-processing, facial recognition, feature extraction, and classification. In this paper, we have used deep learning to identify the seven main human emotions: anger, disgust, fear, happiness, sadness, surprise and neutrality.
{"title":"Emotion Recognition Based Emoji Retrieval Using Deep Learning","authors":"S. Srivastava, Prateek Gupta, Pranjal Kumar","doi":"10.1109/ICOEI51242.2021.9452832","DOIUrl":"https://doi.org/10.1109/ICOEI51242.2021.9452832","url":null,"abstract":"Facial expression is a verbal act of speech that is expressed on the face in terms of our emotions. Emotional recognition to identify facial expression plays crucial role in various applications like psychology, linguistics etc. Playing an important role in the fields of artificial intelligence and robotics, the automatic recognition of facial expression is therefore a need for generation. Emotion recognition plays an important role in the area of human machine communication. Emotional recognition is usually done in four stages which include pre-processing, facial recognition, feature extraction, and classification. In this paper, we have used deep learning to identify the seven main human emotions: anger, disgust, fear, happiness, sadness, surprise and neutrality.","PeriodicalId":420826,"journal":{"name":"2021 5th International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131590142","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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