Pub Date : 2022-12-16DOI: 10.1109/SMART55829.2022.10047540
Sagrika Goswami, Abhishek Dubey
In the contemporary work-from-home period and the previous Covid-19 times, fitness or, to put it another way, obesity, has emerged as a significant issue. Technology usage has suddenly increased and become ingrained in our daily lives. For the development of such individuals, we are developing the fitness application FITWORLD, which supports individuals in achieving their objectives by offering customised training and dietary regimens. Our proposal is based on research into the workout habits of many individuals with various objectives and BMIs. These guidelines are simple to follow and help boost immunity, which further guards against Covid. We are leveraging a variety of technologies and tools, including: •Android Studio •Kotlin •XML •Draw.io •Figma •Star UML •Firebase As a consequence, we are striving to create Fitworld, an app, employing the tools and technologies indicated above. By assisting individuals in maintaining a healthy lifestyle via the use of our app, we want to make our nation healthy and fit in the future.
{"title":"Fitness Industry Propelling on IoT","authors":"Sagrika Goswami, Abhishek Dubey","doi":"10.1109/SMART55829.2022.10047540","DOIUrl":"https://doi.org/10.1109/SMART55829.2022.10047540","url":null,"abstract":"In the contemporary work-from-home period and the previous Covid-19 times, fitness or, to put it another way, obesity, has emerged as a significant issue. Technology usage has suddenly increased and become ingrained in our daily lives. For the development of such individuals, we are developing the fitness application FITWORLD, which supports individuals in achieving their objectives by offering customised training and dietary regimens. Our proposal is based on research into the workout habits of many individuals with various objectives and BMIs. These guidelines are simple to follow and help boost immunity, which further guards against Covid. We are leveraging a variety of technologies and tools, including: •Android Studio •Kotlin •XML •Draw.io •Figma •Star UML •Firebase As a consequence, we are striving to create Fitworld, an app, employing the tools and technologies indicated above. By assisting individuals in maintaining a healthy lifestyle via the use of our app, we want to make our nation healthy and fit in the future.","PeriodicalId":431639,"journal":{"name":"2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125952864","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 : 2022-12-16DOI: 10.1109/SMART55829.2022.10047826
Deepa Joshi, T. Singh
In this day and age, X-rays are the principal instruments for assessing suspected fractures in humans. Expert radiologists are required to suspect the fractures by manually inspecting them, which is a time-consuming process. Automatic detection is beneficial, especially in under-resourced areas where scarce resources and experienced radiologists are observed. Wrist Fracture Dataset (WFD) and Surface Crack Dataset (SCD) were developed to detect and segment wrist bone fractures automatically. The number of wrist fracture images obtained from the Indian hospitals is 315, having 733 annotations/cracks, which is insufficient to produce accurate results using deep learning techniques. As a result, we included SCD for improved model generalization. WFD consists of 3,000 images collected by capturing the minute cracks from road, pavement, and walls, which has similar patterns as the bone fracture cracks. The proposed architecture is a modified version of mask-RCNN architecture where the surface crack dataset's weights are transferred to the wrist X-ray dataset for better model convergence. The results obtained from the modification done at the sub-architecture level (levels 1 and 2) are examined. Combining the modifications proposed at level 1 and level 2, we have obtained improved results against the standard mask-RCNN model for the wrist fracture dataset. We achieved an average precision of 92.278% and 79.003% for fracture detection and 77.445 and 52.156% for fracture segmentation on 50 0 and 75 0 scales, respectively.
{"title":"Novel Use of Deep Convolution Architecture Pre-Trained on Surface Crack Dataset to Localize and Segment Wrist Bone Fractures","authors":"Deepa Joshi, T. Singh","doi":"10.1109/SMART55829.2022.10047826","DOIUrl":"https://doi.org/10.1109/SMART55829.2022.10047826","url":null,"abstract":"In this day and age, X-rays are the principal instruments for assessing suspected fractures in humans. Expert radiologists are required to suspect the fractures by manually inspecting them, which is a time-consuming process. Automatic detection is beneficial, especially in under-resourced areas where scarce resources and experienced radiologists are observed. Wrist Fracture Dataset (WFD) and Surface Crack Dataset (SCD) were developed to detect and segment wrist bone fractures automatically. The number of wrist fracture images obtained from the Indian hospitals is 315, having 733 annotations/cracks, which is insufficient to produce accurate results using deep learning techniques. As a result, we included SCD for improved model generalization. WFD consists of 3,000 images collected by capturing the minute cracks from road, pavement, and walls, which has similar patterns as the bone fracture cracks. The proposed architecture is a modified version of mask-RCNN architecture where the surface crack dataset's weights are transferred to the wrist X-ray dataset for better model convergence. The results obtained from the modification done at the sub-architecture level (levels 1 and 2) are examined. Combining the modifications proposed at level 1 and level 2, we have obtained improved results against the standard mask-RCNN model for the wrist fracture dataset. We achieved an average precision of 92.278% and 79.003% for fracture detection and 77.445 and 52.156% for fracture segmentation on 50 0 and 75 0 scales, respectively.","PeriodicalId":431639,"journal":{"name":"2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130075407","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 : 2022-12-16DOI: 10.1109/SMART55829.2022.10047391
Yashi Bajpai, Madhavi Srivastva, T. Singh, Vineet Kumar Chauhan, Diwakar Upadhyay, Abhishek Dixit
One of the industries that are most crucial to humanity is agriculture. Agriculture mechanization is the major issue facing all countries today. As the world's population is expanding at an incredibly fast rate, there is an increasing demand for food. To fulfill the expanding demand, farmers will need to apply chemical pesticides more often than they already do. The soil is harmed by this. The land continues to be unproductive and barren as a result of this having a substantial influence on agricultural activities. Several mechanization strategies, including deep learning, machine learning, and artificial intelligence, are covered in this article. It is crucial to use new technologies at various stages of the agro-based supply chain due to several long-term challenges for the agricultural industry and various factors, such as population growth, global warming, technological advancement, and the condition of environmental assets (water, etc.). Examples include automated farm equipment processes, the use of sensing devices and satellite data for distant locations, artificial intelligence, and machine learning for forecasting weather patterns. Crop diseases, inadequate storage management, chemical usage, weed control, insufficient irrigation, and poor water management are just a few problems the agricultural sector is facing. Using the range of strategies covered, each of these problems might be handled. It has been demonstrated that automating farming procedures increases soil productivity and improves soil fertility. To get a quick overview of how automation is currently being used in agriculture, this paper examines the work of numerous researchers. In the current study, we highlight the key uses of AI and Ml techniques in farming and highlight the undeniably rising trend in the implementation of these techniques to advance the agriculture sector.
{"title":"Analysis of Agricultural Toolset based on Artificial Intelligence","authors":"Yashi Bajpai, Madhavi Srivastva, T. Singh, Vineet Kumar Chauhan, Diwakar Upadhyay, Abhishek Dixit","doi":"10.1109/SMART55829.2022.10047391","DOIUrl":"https://doi.org/10.1109/SMART55829.2022.10047391","url":null,"abstract":"One of the industries that are most crucial to humanity is agriculture. Agriculture mechanization is the major issue facing all countries today. As the world's population is expanding at an incredibly fast rate, there is an increasing demand for food. To fulfill the expanding demand, farmers will need to apply chemical pesticides more often than they already do. The soil is harmed by this. The land continues to be unproductive and barren as a result of this having a substantial influence on agricultural activities. Several mechanization strategies, including deep learning, machine learning, and artificial intelligence, are covered in this article. It is crucial to use new technologies at various stages of the agro-based supply chain due to several long-term challenges for the agricultural industry and various factors, such as population growth, global warming, technological advancement, and the condition of environmental assets (water, etc.). Examples include automated farm equipment processes, the use of sensing devices and satellite data for distant locations, artificial intelligence, and machine learning for forecasting weather patterns. Crop diseases, inadequate storage management, chemical usage, weed control, insufficient irrigation, and poor water management are just a few problems the agricultural sector is facing. Using the range of strategies covered, each of these problems might be handled. It has been demonstrated that automating farming procedures increases soil productivity and improves soil fertility. To get a quick overview of how automation is currently being used in agriculture, this paper examines the work of numerous researchers. In the current study, we highlight the key uses of AI and Ml techniques in farming and highlight the undeniably rising trend in the implementation of these techniques to advance the agriculture sector.","PeriodicalId":431639,"journal":{"name":"2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134009999","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 : 2022-12-16DOI: 10.1109/SMART55829.2022.10047004
Divya Paikaray, G. Jethava
BC's high mortality and morbidity rates endanger female patients. Thus, a breast cancer detection method is essential. Logistic regression, DTs, random forests, and CNN predicted breast cancer. Predicting early breast cancer symptoms requires ML. This study uses three classification ML techniques. We'll evaluate each algorithm's performance and accuracy. Classification systems must carefully manage and preprocess unbalanced data. We'll train ML models on BC patient data. Performance and accuracy comparisons identify the best algorithm for this task. This study will compare BC classification models to determine the optimal approach. This study predicts BC classification system accuracy.
{"title":"ML based with Decision Tree Method for Classifying The Breast Cancer Level","authors":"Divya Paikaray, G. Jethava","doi":"10.1109/SMART55829.2022.10047004","DOIUrl":"https://doi.org/10.1109/SMART55829.2022.10047004","url":null,"abstract":"BC's high mortality and morbidity rates endanger female patients. Thus, a breast cancer detection method is essential. Logistic regression, DTs, random forests, and CNN predicted breast cancer. Predicting early breast cancer symptoms requires ML. This study uses three classification ML techniques. We'll evaluate each algorithm's performance and accuracy. Classification systems must carefully manage and preprocess unbalanced data. We'll train ML models on BC patient data. Performance and accuracy comparisons identify the best algorithm for this task. This study will compare BC classification models to determine the optimal approach. This study predicts BC classification system accuracy.","PeriodicalId":431639,"journal":{"name":"2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131346490","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 : 2022-12-16DOI: 10.1109/SMART55829.2022.10047017
P. Tyagi, Rajesh Singh, M. Kalyan Chakravarthi, Prabhdeep Singh, A. P., Ch. Raghava Prasad
The Ict (IoT) is a significant system that connects numerous items to the network and network communications. It enables links between individuals and things in almost any manner from any point at any time. Numerous IoT-based options exist. Home security system are some of the most well-liked applications that have raised the quality of people's lives. In this work, we offer an advanced processing concept that has been intuitive and can be used to buy and run household products from any part of the globe. This gadget is smart and focused in commanding other devices with speech processing and understanding. Therefore, the primary goal of the work is to create a sophisticated control system that is far more stable and intelligent enough to get out gas and human effort. Detector, thermistor, MQ2 gyroscope, or GPS module are the major four devices shown in this system. This female's embedded systems are all affordable, available, and interchangeable.
{"title":"Advanced IoT Home Automation using ThingSpeak and Google Assistant IoT Platform","authors":"P. Tyagi, Rajesh Singh, M. Kalyan Chakravarthi, Prabhdeep Singh, A. P., Ch. Raghava Prasad","doi":"10.1109/SMART55829.2022.10047017","DOIUrl":"https://doi.org/10.1109/SMART55829.2022.10047017","url":null,"abstract":"The Ict (IoT) is a significant system that connects numerous items to the network and network communications. It enables links between individuals and things in almost any manner from any point at any time. Numerous IoT-based options exist. Home security system are some of the most well-liked applications that have raised the quality of people's lives. In this work, we offer an advanced processing concept that has been intuitive and can be used to buy and run household products from any part of the globe. This gadget is smart and focused in commanding other devices with speech processing and understanding. Therefore, the primary goal of the work is to create a sophisticated control system that is far more stable and intelligent enough to get out gas and human effort. Detector, thermistor, MQ2 gyroscope, or GPS module are the major four devices shown in this system. This female's embedded systems are all affordable, available, and interchangeable.","PeriodicalId":431639,"journal":{"name":"2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART)","volume":"786 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113995420","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 : 2022-12-16DOI: 10.1109/SMART55829.2022.10047286
Merin Thomas, V. Karunakaran
The efficacy of the block chain will be examined in this report to provide more context. Here, the synchronisation of records' information depending on several treatment layers will be shown. This study tries to give succinct overview of the block chain and how it influences an extensive literature assessment on the subject. To apply a fundamental concept of block - chain, pros and cons of block chain technology in the healthcare field will be shown. Utilizing block chain technology, many problems in medical groups may be avoided by comprehending incorporated components. We have seen quality standards processes in the healthcare industry as a result of block chain technology. The literature component of it will outline the whole healthcare and its operations. It may be concluded that block chain technology is seen as a realistic objective in the medical field by performing a thorough evaluation of publications and magazines that have undergone evaluation. Some of the biggest goals for blockchain in the health care field are reportedly accountability and accountability. This essay will provide priceless insights on the subject that will alter how people see block chain technology. in general. The apparent originality of this subject will be discussed for further evaluation, which will link readers to helpful sources. This study will demonstrate how health care workers may look at many facets of information infrastructure based on block chains. For the purpose of supporting the methodology selected for this research paper, a survey will be conducted.
{"title":"An Intensive Analysis of Recent Trends of Block Chain Technology in the Role of Development in the Healthcare Sector","authors":"Merin Thomas, V. Karunakaran","doi":"10.1109/SMART55829.2022.10047286","DOIUrl":"https://doi.org/10.1109/SMART55829.2022.10047286","url":null,"abstract":"The efficacy of the block chain will be examined in this report to provide more context. Here, the synchronisation of records' information depending on several treatment layers will be shown. This study tries to give succinct overview of the block chain and how it influences an extensive literature assessment on the subject. To apply a fundamental concept of block - chain, pros and cons of block chain technology in the healthcare field will be shown. Utilizing block chain technology, many problems in medical groups may be avoided by comprehending incorporated components. We have seen quality standards processes in the healthcare industry as a result of block chain technology. The literature component of it will outline the whole healthcare and its operations. It may be concluded that block chain technology is seen as a realistic objective in the medical field by performing a thorough evaluation of publications and magazines that have undergone evaluation. Some of the biggest goals for blockchain in the health care field are reportedly accountability and accountability. This essay will provide priceless insights on the subject that will alter how people see block chain technology. in general. The apparent originality of this subject will be discussed for further evaluation, which will link readers to helpful sources. This study will demonstrate how health care workers may look at many facets of information infrastructure based on block chains. For the purpose of supporting the methodology selected for this research paper, a survey will be conducted.","PeriodicalId":431639,"journal":{"name":"2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122500828","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 : 2022-12-16DOI: 10.1109/SMART55829.2022.10047025
Anshuman Singh, Jagdeep Kaur Walia
Scientists are now intrigued by top, and the growth in human requirements has inspired both scientists and students to create new automated technologies. This essay may aid in understanding how the field of autonomous car technology is evolving. Their performance and usability have improved as a result of technological advancements and updates. The interaction between the autonomous vehicles or equipment is the most important necessity. Additionally, the Indian government is focusing a significant amount of money on military development. This research focuses on a connection mechanism between a wireless router bot that is perfect to the point that connecting does not provide a challenge. To do this, transceivers for data connection linking the games console to the car would have been set up on the Raspberry Binding protein relays (bot). Wi-fi connectors will serve as transmitting transmitters or extensions in this program to increase the connection and range of a far-off car. With using this connection, the robot could quickly send data to the patient's computer so that biometrics can be used to record a live broadcast. This project makes advantage of cutting-edge studies on types of networks and interconnection methods in IOT devices. The transmission method increases the chatbot's interaction with the user by deploying more relay bots, ensures that data transmission is untraceable, and widens the range of remote connections. Barriers and any suspicious behavior may be quickly recognized and reported to the military facility using the current algorithms.
{"title":"Autonomous Military Robot using IoT for Covert Operations and Multiutility Computing","authors":"Anshuman Singh, Jagdeep Kaur Walia","doi":"10.1109/SMART55829.2022.10047025","DOIUrl":"https://doi.org/10.1109/SMART55829.2022.10047025","url":null,"abstract":"Scientists are now intrigued by top, and the growth in human requirements has inspired both scientists and students to create new automated technologies. This essay may aid in understanding how the field of autonomous car technology is evolving. Their performance and usability have improved as a result of technological advancements and updates. The interaction between the autonomous vehicles or equipment is the most important necessity. Additionally, the Indian government is focusing a significant amount of money on military development. This research focuses on a connection mechanism between a wireless router bot that is perfect to the point that connecting does not provide a challenge. To do this, transceivers for data connection linking the games console to the car would have been set up on the Raspberry Binding protein relays (bot). Wi-fi connectors will serve as transmitting transmitters or extensions in this program to increase the connection and range of a far-off car. With using this connection, the robot could quickly send data to the patient's computer so that biometrics can be used to record a live broadcast. This project makes advantage of cutting-edge studies on types of networks and interconnection methods in IOT devices. The transmission method increases the chatbot's interaction with the user by deploying more relay bots, ensures that data transmission is untraceable, and widens the range of remote connections. Barriers and any suspicious behavior may be quickly recognized and reported to the military facility using the current algorithms.","PeriodicalId":431639,"journal":{"name":"2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART)","volume":"1123 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122940069","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 : 2022-12-16DOI: 10.1109/SMART55829.2022.10046934
Shashidhar Sonnad, M. Awasthy, Kantilal Rane, Moon Banerjee, D. Buddhi, Bhasker Pant
The Industrial Internet of Things (I-IoT) is positioned as one of the most evolutionarily potential techniques for enhancing the production environment, logistics, and production in industrial settings. While a production method is more complicated, it is necessary to give a full operational IoT where equipment from various environments, such as mobility, plan to operate on the same job, ensuring more security and confidentiality for equipment when communicating. Some popular something which result in third-party secure and address the main management challenges. As a result, security and confidentiality need more attention since they are still a problem. In this study, Menger's identification with block chain assistance is a brand-new and effective security method that is expected to build trust across diverse domains. Security is implemented here via the authorization process. Gadget privacy is maintained by the mengers verification system, which also achieves unit identification across linked devices. The distribution of keys among the linked parties is still subject to negotiation via the appropriate channels for communication. Here, MATLAB is used for the simulation, and the results demonstrate superior results during the authorization process.
{"title":"Blockchain-Based Secure Mengers Authentication for Industrial IoT","authors":"Shashidhar Sonnad, M. Awasthy, Kantilal Rane, Moon Banerjee, D. Buddhi, Bhasker Pant","doi":"10.1109/SMART55829.2022.10046934","DOIUrl":"https://doi.org/10.1109/SMART55829.2022.10046934","url":null,"abstract":"The Industrial Internet of Things (I-IoT) is positioned as one of the most evolutionarily potential techniques for enhancing the production environment, logistics, and production in industrial settings. While a production method is more complicated, it is necessary to give a full operational IoT where equipment from various environments, such as mobility, plan to operate on the same job, ensuring more security and confidentiality for equipment when communicating. Some popular something which result in third-party secure and address the main management challenges. As a result, security and confidentiality need more attention since they are still a problem. In this study, Menger's identification with block chain assistance is a brand-new and effective security method that is expected to build trust across diverse domains. Security is implemented here via the authorization process. Gadget privacy is maintained by the mengers verification system, which also achieves unit identification across linked devices. The distribution of keys among the linked parties is still subject to negotiation via the appropriate channels for communication. Here, MATLAB is used for the simulation, and the results demonstrate superior results during the authorization process.","PeriodicalId":431639,"journal":{"name":"2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127673111","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 : 2022-12-16DOI: 10.1109/SMART55829.2022.10047073
P. Kumar, A. Saxena, Gopal Kumar Gupta, Kamesh Kumar
Graph theory is broadly used to verify many arithmetical theories and models. This assessment introduces the use of numerous graph concept theories to clear up difficulties in numerous sectors of technology and generations similarly to arithmetic. A number of them fields encompass computer technology, chemistry, biology, virtual image processing, webpage design, scientific technology and overall performance studies. In a mathematical idea take a look at of the graph, a double graph of the Gr is a plane with a vertex of one face of Gr. A twin graph has the rims of every pair of facets in Gr splits from the alternative via the edge, and a self-loop where the equal face appears on each facets of the image(2). Here we explain a scholar task in which we build a calculation answer for an electrical circuit primarily based on graph concept theory. This multidisciplinary technique includes abstract mathematics, linear algebra, circuit physics and computer programming, in order to achieve the automated aim-solving intentions(1).
{"title":"Duality of Graph and Its Application in Electric Circuit","authors":"P. Kumar, A. Saxena, Gopal Kumar Gupta, Kamesh Kumar","doi":"10.1109/SMART55829.2022.10047073","DOIUrl":"https://doi.org/10.1109/SMART55829.2022.10047073","url":null,"abstract":"Graph theory is broadly used to verify many arithmetical theories and models. This assessment introduces the use of numerous graph concept theories to clear up difficulties in numerous sectors of technology and generations similarly to arithmetic. A number of them fields encompass computer technology, chemistry, biology, virtual image processing, webpage design, scientific technology and overall performance studies. In a mathematical idea take a look at of the graph, a double graph of the Gr is a plane with a vertex of one face of Gr. A twin graph has the rims of every pair of facets in Gr splits from the alternative via the edge, and a self-loop where the equal face appears on each facets of the image(2). Here we explain a scholar task in which we build a calculation answer for an electrical circuit primarily based on graph concept theory. This multidisciplinary technique includes abstract mathematics, linear algebra, circuit physics and computer programming, in order to achieve the automated aim-solving intentions(1).","PeriodicalId":431639,"journal":{"name":"2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART)","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128924954","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 : 2022-12-16DOI: 10.1109/SMART55829.2022.10047499
S. Likhitha, R. Baskar
Themain aim of this research is to filter Skin Cancer MRI images based on the image processing technologies using novel median filter algorithm and is compared with Gabor filter algorithm. This research contains two groups, each with a sample size of 20 with Gpower of 80 percent. The performance of the novel median filter is evaluated and the performance measurements such as PSNR (Peak Signal to Noise Ratio) and MSE (Mean Square Error) are compared with the Gabor filter. According to the data obtained by simulating with matlab, the novel median filter's PSNR is 31.64, and its MSE is 9.094, whereas the Gabor filter's PSNR (Peak Signal to Noise Ratio) is 27.02, and its MSE (Mean Square Error) is 11.52. From the statistical analysis, it is observed that the significant value of PSNR (Peak Signal to Noise Ratio) (0.409) and $mathbf{p} > 0.05$ and value of MSE (0.010) of the algorithm is $mathbf{p} < 0.05$. In this study, it is found that the novel Median filter performs better than the Gabor filter in terms of PSNR and MSE.
本研究的主要目的是利用新的中值滤波算法对基于图像处理技术的皮肤癌MRI图像进行滤波，并与Gabor滤波算法进行比较。这项研究包含两组，每组的样本量为20,Gpower为80%。评估了新型中值滤波器的性能，并将PSNR(峰值信噪比)和MSE(均方误差)等性能指标与Gabor滤波器进行了比较。通过matlab仿真得到的数据表明，新型中值滤波器的PSNR为31.64,MSE为9.094，而Gabor滤波器的PSNR(峰值信噪比)为27.02,MSE(均方误差)为11.52。从统计分析中可以看出，该算法的峰值信噪比PSNR (Peak Signal to Noise Ratio)的显著值为0.409，且$mathbf{p} > 0.05$， MSE(0.010)的显著值为$mathbf{p} < 0.05$。本研究发现，在PSNR和MSE方面，新型中值滤波器优于Gabor滤波器。
{"title":"Performance Analysis of Median Filter in Comparison with Gabor Filter for Skin Cancer MRI Images Based on PSNR and MSE","authors":"S. Likhitha, R. Baskar","doi":"10.1109/SMART55829.2022.10047499","DOIUrl":"https://doi.org/10.1109/SMART55829.2022.10047499","url":null,"abstract":"Themain aim of this research is to filter Skin Cancer MRI images based on the image processing technologies using novel median filter algorithm and is compared with Gabor filter algorithm. This research contains two groups, each with a sample size of 20 with Gpower of 80 percent. The performance of the novel median filter is evaluated and the performance measurements such as PSNR (Peak Signal to Noise Ratio) and MSE (Mean Square Error) are compared with the Gabor filter. According to the data obtained by simulating with matlab, the novel median filter's PSNR is 31.64, and its MSE is 9.094, whereas the Gabor filter's PSNR (Peak Signal to Noise Ratio) is 27.02, and its MSE (Mean Square Error) is 11.52. From the statistical analysis, it is observed that the significant value of PSNR (Peak Signal to Noise Ratio) (0.409) and $mathbf{p} > 0.05$ and value of MSE (0.010) of the algorithm is $mathbf{p} < 0.05$. In this study, it is found that the novel Median filter performs better than the Gabor filter in terms of PSNR and MSE.","PeriodicalId":431639,"journal":{"name":"2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129174460","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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