Pub Date : 2021-11-11DOI: 10.1109/I-SMAC52330.2021.9641041
Jiajie Sheng, Shuxin Wang
By analyzing the relationship between the resistance and buoyancy of the swimmer and the water, exploring the mechanism of resistance and propulsion during swimming, and then proposing an optimization plan for technical movements, achieving the purpose of reducing resistance and improving propulsion efficiency. It is currently the most effective to improve the performance of competitive swimming. One of the means. With the rapid development of computer science, computer numerical simulation technology has shown great potential in the study of dynamic numerical modeling of swimming. Based on computational fluid dynamics, this paper carries out a numerical analysis of dynamic numerical simulations for different swimming postures. The analysis results show that different postures are closely related to the resistance of athletes to the water.
{"title":"A Prediction Model of Domestic Animated Films and Audience Psychology Based on Facial Expression Recognition","authors":"Jiajie Sheng, Shuxin Wang","doi":"10.1109/I-SMAC52330.2021.9641041","DOIUrl":"https://doi.org/10.1109/I-SMAC52330.2021.9641041","url":null,"abstract":"By analyzing the relationship between the resistance and buoyancy of the swimmer and the water, exploring the mechanism of resistance and propulsion during swimming, and then proposing an optimization plan for technical movements, achieving the purpose of reducing resistance and improving propulsion efficiency. It is currently the most effective to improve the performance of competitive swimming. One of the means. With the rapid development of computer science, computer numerical simulation technology has shown great potential in the study of dynamic numerical modeling of swimming. Based on computational fluid dynamics, this paper carries out a numerical analysis of dynamic numerical simulations for different swimming postures. The analysis results show that different postures are closely related to the resistance of athletes to the water.","PeriodicalId":178783,"journal":{"name":"2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128579395","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 : 2021-11-11DOI: 10.1109/I-SMAC52330.2021.9640626
K. Kamble, M. Ghute
Nowadays visiting doctor for even a normal consultation has been a thought of worry. Taking patients to doctor for normal consultation is still in practice. Sometimes family doctor advices to consult a specialist who is not from your town. So, it always a question whether to consult that doctor because it is a cumbersome process to move the patient. The aim of this project is to make the Doctor’s consultation possible through video call. This will reduce the chances of getting affected by other patients when physically visiting the clinic. Also, can consult to any other specialist from different city which will reduce the pain of patient to physically visit the clinic for normal consultation. Mobile phones and computers are the Teledoc devices, and they can be accessed by no of peoples. Persons living in rural and urban areas who cannot directly connect with provider the facility should be improved. Caregivers can easily monitor the conditions of patient by these devices. Doctors can collect the information of patient and can give treatment to them without meeting physically to patients.
{"title":"Mobile Internet based TELEDOCTOR CONSULTATION APP","authors":"K. Kamble, M. Ghute","doi":"10.1109/I-SMAC52330.2021.9640626","DOIUrl":"https://doi.org/10.1109/I-SMAC52330.2021.9640626","url":null,"abstract":"Nowadays visiting doctor for even a normal consultation has been a thought of worry. Taking patients to doctor for normal consultation is still in practice. Sometimes family doctor advices to consult a specialist who is not from your town. So, it always a question whether to consult that doctor because it is a cumbersome process to move the patient. The aim of this project is to make the Doctor’s consultation possible through video call. This will reduce the chances of getting affected by other patients when physically visiting the clinic. Also, can consult to any other specialist from different city which will reduce the pain of patient to physically visit the clinic for normal consultation. Mobile phones and computers are the Teledoc devices, and they can be accessed by no of peoples. Persons living in rural and urban areas who cannot directly connect with provider the facility should be improved. Caregivers can easily monitor the conditions of patient by these devices. Doctors can collect the information of patient and can give treatment to them without meeting physically to patients.","PeriodicalId":178783,"journal":{"name":"2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130541590","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 : 2021-11-11DOI: 10.1109/I-SMAC52330.2021.9641044
Rabinarayan Bhatta, Parth Pratim, S. Priya
It is generally known that, many students travel between school and home on a daily basis. This necessitates the need to address the issue of safer school bus travel, which has become a national concern in India. Some of the issues include the child being left behind in the bus, the bus taking a different route to drop the child off, and so on. This problem has been addressed in this research work by developing a safety system to track the number of children entering and exiting the bus using their ID, and this process will take place with the help of RFID (Radio Frequency Identification) and a GPS tracker, which will be used to track the bus in order to locate its exact location and determine the path in which the bus is travelling. Additionally, the parents will be notified if any unusual activity occurs, such as the changing the bus route or counting the number of students on board. Since, this is an advanced system, the travelling children and the driver do not need to take any additional actions; wherein the system will take care of all the necessary steps and track the students' entry and exit. In the case of the drunk and drive application, if the driver is intoxicated, the sensor will detect it and send a message to the school administration so that they can take appropriate action. Also, the proposed model will check whether students and drivers have properly fastened their seat belts or not. Also, the proposed system will provide panic buttons. In case of any emergency like road accident, the driver can also press the panic button. This module is employed in order to establish the connection between the users and the board. After completing all the process, all the related data will be sent to the parents via a wireless medium. The user interface for the proposed model is IOT application. User can use this system by using the necessary appliance. All the valuable information will be sent through the wireless medium and made visible through the IOT app, which is used by the user.
{"title":"RFID based SMART SCHOOL BUS: Certifying Safety for the Children Going to School on the Road","authors":"Rabinarayan Bhatta, Parth Pratim, S. Priya","doi":"10.1109/I-SMAC52330.2021.9641044","DOIUrl":"https://doi.org/10.1109/I-SMAC52330.2021.9641044","url":null,"abstract":"It is generally known that, many students travel between school and home on a daily basis. This necessitates the need to address the issue of safer school bus travel, which has become a national concern in India. Some of the issues include the child being left behind in the bus, the bus taking a different route to drop the child off, and so on. This problem has been addressed in this research work by developing a safety system to track the number of children entering and exiting the bus using their ID, and this process will take place with the help of RFID (Radio Frequency Identification) and a GPS tracker, which will be used to track the bus in order to locate its exact location and determine the path in which the bus is travelling. Additionally, the parents will be notified if any unusual activity occurs, such as the changing the bus route or counting the number of students on board. Since, this is an advanced system, the travelling children and the driver do not need to take any additional actions; wherein the system will take care of all the necessary steps and track the students' entry and exit. In the case of the drunk and drive application, if the driver is intoxicated, the sensor will detect it and send a message to the school administration so that they can take appropriate action. Also, the proposed model will check whether students and drivers have properly fastened their seat belts or not. Also, the proposed system will provide panic buttons. In case of any emergency like road accident, the driver can also press the panic button. This module is employed in order to establish the connection between the users and the board. After completing all the process, all the related data will be sent to the parents via a wireless medium. The user interface for the proposed model is IOT application. User can use this system by using the necessary appliance. All the valuable information will be sent through the wireless medium and made visible through the IOT app, which is used by the user.","PeriodicalId":178783,"journal":{"name":"2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121193725","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 : 2021-11-11DOI: 10.1109/I-SMAC52330.2021.9640845
R. Yarava, P. Sowjanya, Sowmya Gudipati, G. Charles Babu, Srisailapu D Vara Prasad
The utilization of "cloud storage services (CSS)", empowering people to store their data in cloud and avoid from maintenance cost and local data storage. Various data integrity auditing (DIA) frameworks are carried out to ensure the quality of data stored in cloud. Mostly, if not all, of current plans, a client requires to utilize his private key (PK) to generate information authenticators for knowing the DIA. Subsequently, the client needs to have hardware token to store his PK and retain a secret phrase to actuate this PK. In this hardware token is misplaced or password is forgotten, the greater part of existing DIA plans would be not able to work. To overcome this challenge, this research work suggests another DIA without "private key storage (PKS)"plan. This research work utilizes biometric information as client's fuzzy private key (FPK) to evade utilizing hardware token. In the meantime, the plan might in any case viably complete the DIA. This research work uses a direct sketch with coding and mistake correction procedures to affirm client identity. Also, this research work plan another mark conspire that helps block less. Verifiability, yet in addition is viable with linear sketch Keywords– Data integrity auditing (DIA), Cloud Computing, Block less Verifiability, fuzzy biometric data, secure cloud storage (SCS), key exposure resilience (KER), Third Party Auditor (TPA), cloud audit server (CAS), cloud storage server (CSS), Provable Data Possession (PDP)
{"title":"An Effective Technology for Secured Data Auditing for Cloud Computing using Fuzzy Biometric Method","authors":"R. Yarava, P. Sowjanya, Sowmya Gudipati, G. Charles Babu, Srisailapu D Vara Prasad","doi":"10.1109/I-SMAC52330.2021.9640845","DOIUrl":"https://doi.org/10.1109/I-SMAC52330.2021.9640845","url":null,"abstract":"The utilization of \"cloud storage services (CSS)\", empowering people to store their data in cloud and avoid from maintenance cost and local data storage. Various data integrity auditing (DIA) frameworks are carried out to ensure the quality of data stored in cloud. Mostly, if not all, of current plans, a client requires to utilize his private key (PK) to generate information authenticators for knowing the DIA. Subsequently, the client needs to have hardware token to store his PK and retain a secret phrase to actuate this PK. In this hardware token is misplaced or password is forgotten, the greater part of existing DIA plans would be not able to work. To overcome this challenge, this research work suggests another DIA without \"private key storage (PKS)\"plan. This research work utilizes biometric information as client's fuzzy private key (FPK) to evade utilizing hardware token. In the meantime, the plan might in any case viably complete the DIA. This research work uses a direct sketch with coding and mistake correction procedures to affirm client identity. Also, this research work plan another mark conspire that helps block less. Verifiability, yet in addition is viable with linear sketch Keywords– Data integrity auditing (DIA), Cloud Computing, Block less Verifiability, fuzzy biometric data, secure cloud storage (SCS), key exposure resilience (KER), Third Party Auditor (TPA), cloud audit server (CAS), cloud storage server (CSS), Provable Data Possession (PDP)","PeriodicalId":178783,"journal":{"name":"2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121668917","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 : 2021-11-11DOI: 10.1109/I-SMAC52330.2021.9640846
Xiaohui Jia
With the development of the global integration process and the rapid growth of international trade, my country's air cargo has entered a new stage of vigorous development. Driven by the country’s "open sky" wave, my country’s airlines are facing tremendous development opportunities as well as severe challenges in their cargo operations. How to improve the income management level of air cargo has become the primary problem that Chinese airlines urgently need to solve. Based on the hyperspectral remote sensing image data, this paper establishes a prediction model for improving the efficiency of China's civil aviation cargo revenue, and accurately predicts the order volume, profit coefficient, and total revenue of civil aviation cargo.
{"title":"A Prediction Algorithm for Improving the Efficiency of China's Civil Aviation Cargo Revenue Based on Remote Sensing Data","authors":"Xiaohui Jia","doi":"10.1109/I-SMAC52330.2021.9640846","DOIUrl":"https://doi.org/10.1109/I-SMAC52330.2021.9640846","url":null,"abstract":"With the development of the global integration process and the rapid growth of international trade, my country's air cargo has entered a new stage of vigorous development. Driven by the country’s \"open sky\" wave, my country’s airlines are facing tremendous development opportunities as well as severe challenges in their cargo operations. How to improve the income management level of air cargo has become the primary problem that Chinese airlines urgently need to solve. Based on the hyperspectral remote sensing image data, this paper establishes a prediction model for improving the efficiency of China's civil aviation cargo revenue, and accurately predicts the order volume, profit coefficient, and total revenue of civil aviation cargo.","PeriodicalId":178783,"journal":{"name":"2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121689915","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 : 2021-11-11DOI: 10.1109/I-SMAC52330.2021.9640668
Anju Sunil, Megha Singh, Mansi Singh, V. K, S. N
Now a day’s governments, health-care providers, and residents are all feeling the financial and social strain. The number of people with chronic diseases in the world is expected to exceed 100 million in the next decade. Balancing work and health in today’s fast-paced world has become a key concern for the majority of people. Both long hospital wait times and ambulatory patient monitoring are well-known problems. The problems necessitate a health monitoring system that can smoothly monitor everyday routine health metrics and heart rate monitoring, as well as transmit the information to people who need to know through a Wi-Fi module. As a consequence of technical developments, a variety of monitoring systems have emerged, providing comfort to patients and enabling the use of IoT in the health-care system. This gadget is primarily designed to track a patient's vital data in real time. A cloud server sends the patient's vitals parameters to the authorized person's smart phones and PCs. This information may be kept and analyzed for future research and decision-making. The disease's type can be predicted based on the pattern of observable variables. The key advantage of such social insurance unit incorporates simple establishment, profoundly secure two ways correspondence, long battery life and ease. Also, a notification in the form of email will be sent to patient’s phone using Wi-Fi about health condition.
{"title":"IOT based Smart Health Analyzer","authors":"Anju Sunil, Megha Singh, Mansi Singh, V. K, S. N","doi":"10.1109/I-SMAC52330.2021.9640668","DOIUrl":"https://doi.org/10.1109/I-SMAC52330.2021.9640668","url":null,"abstract":"Now a day’s governments, health-care providers, and residents are all feeling the financial and social strain. The number of people with chronic diseases in the world is expected to exceed 100 million in the next decade. Balancing work and health in today’s fast-paced world has become a key concern for the majority of people. Both long hospital wait times and ambulatory patient monitoring are well-known problems. The problems necessitate a health monitoring system that can smoothly monitor everyday routine health metrics and heart rate monitoring, as well as transmit the information to people who need to know through a Wi-Fi module. As a consequence of technical developments, a variety of monitoring systems have emerged, providing comfort to patients and enabling the use of IoT in the health-care system. This gadget is primarily designed to track a patient's vital data in real time. A cloud server sends the patient's vitals parameters to the authorized person's smart phones and PCs. This information may be kept and analyzed for future research and decision-making. The disease's type can be predicted based on the pattern of observable variables. The key advantage of such social insurance unit incorporates simple establishment, profoundly secure two ways correspondence, long battery life and ease. Also, a notification in the form of email will be sent to patient’s phone using Wi-Fi about health condition.","PeriodicalId":178783,"journal":{"name":"2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124269187","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 : 2021-11-11DOI: 10.1109/I-SMAC52330.2021.9641031
Jingwen Han
The management accounting system of commercial banks is an effective tool for commercial banks to improve their management level and enhance their core competitiveness. Building an intelligent data management system and performance management system for commercial bank management accounting based on blockchain technology has become a major topic of commercial bank information technology innovation. This paper takes software engineering as the main line and focuses on the commercial bank management accounting system based on the intelligent data management and performance combined blockchain model.
{"title":"Intelligent Data Management System and Performance Joint Blockchain Model for Commercial Bank Management Accounting","authors":"Jingwen Han","doi":"10.1109/I-SMAC52330.2021.9641031","DOIUrl":"https://doi.org/10.1109/I-SMAC52330.2021.9641031","url":null,"abstract":"The management accounting system of commercial banks is an effective tool for commercial banks to improve their management level and enhance their core competitiveness. Building an intelligent data management system and performance management system for commercial bank management accounting based on blockchain technology has become a major topic of commercial bank information technology innovation. This paper takes software engineering as the main line and focuses on the commercial bank management accounting system based on the intelligent data management and performance combined blockchain model.","PeriodicalId":178783,"journal":{"name":"2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127709703","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 : 2021-11-11DOI: 10.1109/I-SMAC52330.2021.9640634
A. Praveen, B. V. Sravya, Thakur Karan Singh, R. Madhuri
In the current world with more enhancing techniques like Recursive Partitioning approach is used for the identification of Diabetes. Hyperglycemia is a symptom of diabetes mellitus, which is a chronic disorder. It is due to metabolic disorders and the reduction of blood glucose levels in the body. There are stages in diabetes based on the severity. So, it is an emergency task to detect diabetes early to reduce the severity of the problem. By considering all the complications, many research studies had gone through to solve the problem efficiently and effectively. Using a Recursive partitioning approach like Random forest, the accuracy of identifying diabetes has been improved. This approach provides a substantial improvement of performance over prevailing practices. Recursive Partitioning may be a non-parametric modeling technique that is widely utilized in classification and regression problems. It is a standard method used for decision trees. Recursive Partitioning is a top-down greedy algorithm that make optimized choices locally at each step.
{"title":"A Pre Stage of Diabetes identification using Recursive Partitioning technqiue","authors":"A. Praveen, B. V. Sravya, Thakur Karan Singh, R. Madhuri","doi":"10.1109/I-SMAC52330.2021.9640634","DOIUrl":"https://doi.org/10.1109/I-SMAC52330.2021.9640634","url":null,"abstract":"In the current world with more enhancing techniques like Recursive Partitioning approach is used for the identification of Diabetes. Hyperglycemia is a symptom of diabetes mellitus, which is a chronic disorder. It is due to metabolic disorders and the reduction of blood glucose levels in the body. There are stages in diabetes based on the severity. So, it is an emergency task to detect diabetes early to reduce the severity of the problem. By considering all the complications, many research studies had gone through to solve the problem efficiently and effectively. Using a Recursive partitioning approach like Random forest, the accuracy of identifying diabetes has been improved. This approach provides a substantial improvement of performance over prevailing practices. Recursive Partitioning may be a non-parametric modeling technique that is widely utilized in classification and regression problems. It is a standard method used for decision trees. Recursive Partitioning is a top-down greedy algorithm that make optimized choices locally at each step.","PeriodicalId":178783,"journal":{"name":"2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126239222","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 : 2021-11-11DOI: 10.1109/I-SMAC52330.2021.9640930
L. Raja, R. Swaminathan, D. K. Sharma, R. Regin, S. R, D. Babu
Figuring interpolated images is an exemplary issue in picture and video preparation. It is an essential advancement in various applications, such as frame rate conversion, temporal upsampling for producing moderate movement video, and picture transforming, just as virtual view blend. Standard ways to deal with figuring interpolated frames in a video grouping require precise pixel correspondences between pictures. Customary answers for picture interjection initially register correspondences (for the most part utilizing optical stream or stereo techniques), trailed by correspondence-based picture distorting. Because of characteristic ambiguities in figuring such correspondences, most strategies are vigorously subject to computationally costly worldwide improvement and require extensive parameter tuning. In this proposed technique, a new complication motion with a low vector dispensation procedure at the end side is suggested for motion-compensated video vector frame interpolation or frame rate up-conversion. Generally, it is possible to detect the problems of broken edges and distorted arrangement difficulties in a frame interpolation through orderly refining motion vectors on various block sizes. Investigational consequences show that this proposed organization’s visual superiority is improved and is also rugged, even in video sequences containing fast motions and difficult sections.
{"title":"Optimize the Residual Signal Transmission Based on Moving Vector Classification for Video Coding","authors":"L. Raja, R. Swaminathan, D. K. Sharma, R. Regin, S. R, D. Babu","doi":"10.1109/I-SMAC52330.2021.9640930","DOIUrl":"https://doi.org/10.1109/I-SMAC52330.2021.9640930","url":null,"abstract":"Figuring interpolated images is an exemplary issue in picture and video preparation. It is an essential advancement in various applications, such as frame rate conversion, temporal upsampling for producing moderate movement video, and picture transforming, just as virtual view blend. Standard ways to deal with figuring interpolated frames in a video grouping require precise pixel correspondences between pictures. Customary answers for picture interjection initially register correspondences (for the most part utilizing optical stream or stereo techniques), trailed by correspondence-based picture distorting. Because of characteristic ambiguities in figuring such correspondences, most strategies are vigorously subject to computationally costly worldwide improvement and require extensive parameter tuning. In this proposed technique, a new complication motion with a low vector dispensation procedure at the end side is suggested for motion-compensated video vector frame interpolation or frame rate up-conversion. Generally, it is possible to detect the problems of broken edges and distorted arrangement difficulties in a frame interpolation through orderly refining motion vectors on various block sizes. Investigational consequences show that this proposed organization’s visual superiority is improved and is also rugged, even in video sequences containing fast motions and difficult sections.","PeriodicalId":178783,"journal":{"name":"2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126336369","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 : 2021-11-11DOI: 10.1109/I-SMAC52330.2021.9640852
A. Sarkar, Shiv Shankar Ray, Adarsh Prasad, C. Pradhan
Pollution due to ground level ozone is one of the causes of air pollution. It is caused to human activities. It can cause several health problems. Therefore the identification of ground level ozone has become crucial. This paper has attempted to predict ozone day and non-ozone day from the dataset to make an advanced forecast so that health problems can be prevented at an early stage. Further, this research work has also attempted to detect ground level ozone using various algorithms like Support Vector Machines, K Nearest Neighbours, XGBoost, LGBM, Hist Gradient Boosting Machine and Deep Neural Networks. Finally, a thorough error analysis has been performed on these algorithms. From the result, it has been found that the Extreme Gradient Boosting (XGB) algorithm should be suitable for detection of the ground level of ozone layer as it results in 95% of accuracy.
{"title":"A Novel Detection Approach of Ground Level Ozone using Machine Learning Classifiers","authors":"A. Sarkar, Shiv Shankar Ray, Adarsh Prasad, C. Pradhan","doi":"10.1109/I-SMAC52330.2021.9640852","DOIUrl":"https://doi.org/10.1109/I-SMAC52330.2021.9640852","url":null,"abstract":"Pollution due to ground level ozone is one of the causes of air pollution. It is caused to human activities. It can cause several health problems. Therefore the identification of ground level ozone has become crucial. This paper has attempted to predict ozone day and non-ozone day from the dataset to make an advanced forecast so that health problems can be prevented at an early stage. Further, this research work has also attempted to detect ground level ozone using various algorithms like Support Vector Machines, K Nearest Neighbours, XGBoost, LGBM, Hist Gradient Boosting Machine and Deep Neural Networks. Finally, a thorough error analysis has been performed on these algorithms. From the result, it has been found that the Extreme Gradient Boosting (XGB) algorithm should be suitable for detection of the ground level of ozone layer as it results in 95% of accuracy.","PeriodicalId":178783,"journal":{"name":"2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121758808","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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