Pub Date : 2020-07-01DOI: 10.1109/ComPE49325.2020.9200145
Susmita Ghosh, Muntazir Billah, Imran Hossain, S. M. Tanbir-UL-Islam, R. Islam, Anup Kumar Roy
This paper illustrates a project work which approaches the design of a power generating system that will utilize the speed of a train. The circuit diagram of the project work has been first drawn on Fritzing based on the proposed idea and the whole system hardware is designed. The successful generated output power is displayed on LCD display. In the proposed model, A SD card has been used whose function is to store the generated parameters at a certain time interval. The prime aim of the aforementioned project is to fulfill the requirements of electrical appliances like fan, bulb etc. on a train coach using the generated power. To employ the kinetic energy of the air to generate power by implementing suitable arrangements in train is the goal of the considered project. The success of the project depicts that the implementation of this technology will certainly help in reducing the consumption of fossil fuels and thus contributes positively in terms of global warming.
{"title":"Designing and Performance Analysis of a Small-Scale Power Generating System Utilizing Rail Locomotives","authors":"Susmita Ghosh, Muntazir Billah, Imran Hossain, S. M. Tanbir-UL-Islam, R. Islam, Anup Kumar Roy","doi":"10.1109/ComPE49325.2020.9200145","DOIUrl":"https://doi.org/10.1109/ComPE49325.2020.9200145","url":null,"abstract":"This paper illustrates a project work which approaches the design of a power generating system that will utilize the speed of a train. The circuit diagram of the project work has been first drawn on Fritzing based on the proposed idea and the whole system hardware is designed. The successful generated output power is displayed on LCD display. In the proposed model, A SD card has been used whose function is to store the generated parameters at a certain time interval. The prime aim of the aforementioned project is to fulfill the requirements of electrical appliances like fan, bulb etc. on a train coach using the generated power. To employ the kinetic energy of the air to generate power by implementing suitable arrangements in train is the goal of the considered project. The success of the project depicts that the implementation of this technology will certainly help in reducing the consumption of fossil fuels and thus contributes positively in terms of global warming.","PeriodicalId":6804,"journal":{"name":"2020 International Conference on Computational Performance Evaluation (ComPE)","volume":"71 1","pages":"255-259"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87979995","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-07-01DOI: 10.1109/ComPE49325.2020.9200001
Swathy Krishna, Anju. J
Clinical depression has been a common but a serious mood disorder nowadays affecting people of any age group. Since depression affects the mental state, the patient will find it difficult to communicate his/her condition to the doctor. Commonly used diagnostic measures are interview style assessment or questionnaires about the symptoms, laboratory tests to check whether the depression symptoms are related with other serious illness. With the emergence of machine learning and convolutional neural networks, many techniques have been developed for supporting the diagnosis of depression in the past few years. Since depression is a multifactor disorder, the diagnosis of depression should follow a multimodal approach for its effective assessment. This paper presents a review of various unimodal and multimodal approaches that have been developed with the aim of analyzing the depression using emotion recognition. The unimodal approach considers either of the attributes among facial expressions, speech, etc. for depression detection while multimodal approaches are based on the combination of one or more attributes. This paper also reviews several depression detection systems that use facial feature extraction methods that use eigenvalue algorithm, fisher vector algorithm, etc. and speech features such as spectral, acoustic feature, etc. The survey covers the existing emotion detection research efforts that use audio and visual data for depression detection. The survey shows that the depression detection using multimodal approach and deep learning techniques achieve greater performance over unimodal approaches in the depression analysis.
{"title":"Different Approaches in Depression Analysis : A Review","authors":"Swathy Krishna, Anju. J","doi":"10.1109/ComPE49325.2020.9200001","DOIUrl":"https://doi.org/10.1109/ComPE49325.2020.9200001","url":null,"abstract":"Clinical depression has been a common but a serious mood disorder nowadays affecting people of any age group. Since depression affects the mental state, the patient will find it difficult to communicate his/her condition to the doctor. Commonly used diagnostic measures are interview style assessment or questionnaires about the symptoms, laboratory tests to check whether the depression symptoms are related with other serious illness. With the emergence of machine learning and convolutional neural networks, many techniques have been developed for supporting the diagnosis of depression in the past few years. Since depression is a multifactor disorder, the diagnosis of depression should follow a multimodal approach for its effective assessment. This paper presents a review of various unimodal and multimodal approaches that have been developed with the aim of analyzing the depression using emotion recognition. The unimodal approach considers either of the attributes among facial expressions, speech, etc. for depression detection while multimodal approaches are based on the combination of one or more attributes. This paper also reviews several depression detection systems that use facial feature extraction methods that use eigenvalue algorithm, fisher vector algorithm, etc. and speech features such as spectral, acoustic feature, etc. The survey covers the existing emotion detection research efforts that use audio and visual data for depression detection. The survey shows that the depression detection using multimodal approach and deep learning techniques achieve greater performance over unimodal approaches in the depression analysis.","PeriodicalId":6804,"journal":{"name":"2020 International Conference on Computational Performance Evaluation (ComPE)","volume":"76 1","pages":"407-414"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88007817","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-07-01DOI: 10.1109/ComPE49325.2020.9200034
Himangshu Shekhar Baruah, Jyoti Thakur, S. Sarmah, N. Hoque
Feature selection method is used for generating an optimal number of features to be used for a certain task like classification. Particle Swarm Optimization (PSO) is an algorithm influenced by the habit of bird flocking or fish schooling. The main goal of this paper is designing and evaluating a viable wrapper-based feature selection algorithm. Feature selection can also be viewed as a minimization problem for which PSO can be applied. In this paper, we attempt to introduce a PSO based feature selection method using mutual information (MI). Feature-class MI has been used to select a subset of features based on its relevancy. A wrapper-based method is used to find the productiveness of the method by evaluating with different classifiers in different datasets. The classification performances have been found promising when compared with classifications performed using normal classifiers and PSO method without using mutual information.
{"title":"A Feature Selection Method using PSO-MI","authors":"Himangshu Shekhar Baruah, Jyoti Thakur, S. Sarmah, N. Hoque","doi":"10.1109/ComPE49325.2020.9200034","DOIUrl":"https://doi.org/10.1109/ComPE49325.2020.9200034","url":null,"abstract":"Feature selection method is used for generating an optimal number of features to be used for a certain task like classification. Particle Swarm Optimization (PSO) is an algorithm influenced by the habit of bird flocking or fish schooling. The main goal of this paper is designing and evaluating a viable wrapper-based feature selection algorithm. Feature selection can also be viewed as a minimization problem for which PSO can be applied. In this paper, we attempt to introduce a PSO based feature selection method using mutual information (MI). Feature-class MI has been used to select a subset of features based on its relevancy. A wrapper-based method is used to find the productiveness of the method by evaluating with different classifiers in different datasets. The classification performances have been found promising when compared with classifications performed using normal classifiers and PSO method without using mutual information.","PeriodicalId":6804,"journal":{"name":"2020 International Conference on Computational Performance Evaluation (ComPE)","volume":"26 1","pages":"280-284"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90581578","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-07-01DOI: 10.1109/ComPE49325.2020.9199997
Shivam Vatshayan, R. Haidri, Jitendra Kumar Verma
The Cryptography is gotten from a Greek word which implies the craft of ensuring data by changing it into a muddled organization and unreadable format. It is a mix of arithmetic and software engineering. The dynamite growth of the Internet has made an expanded familiarity with intrigue uncertainty issues. Even though security is the measure worries over the internet, numerous applications have been created and structured without considering fundamental destinations of data security that is confidentiality, authentication, and protection. As our day by day exercises become increasingly more dependent upon data networks, the significance of an understanding of such security issues and trouble will also increase. To forestall some undesirable clients or individuals to gain admittance to the data, cryptography is required. .This paper introduces a new hybrid security cipher by combining the two most important Ciphers such as Polybius Cipher and Vigenère Cipher. This hybrid encryption cipher provides greater security as compared to classic ciphers.
密码学(Cryptography)这个词来自于一个希腊单词，它的意思是通过将数据更改为混乱的组织和不可读的格式来确保数据的技术。它是算术和软件工程的混合体。互联网的爆炸性增长使人们对阴谋不确定性问题更加熟悉。尽管安全性是互联网上最令人担忧的措施，但许多应用程序的创建和构建都没有考虑到数据安全的基本目标，即机密性、身份验证和保护。随着我们的日常工作越来越依赖于数据网络，了解此类安全问题和麻烦的重要性也将增加。为了防止某些不受欢迎的客户端或个人获得数据的权限，需要使用加密技术。本文将两种最重要的密码Polybius cipher和vigen re cipher结合在一起，提出了一种新的混合安全密码。与传统密码相比，这种混合加密密码提供了更高的安全性。
{"title":"Design of Hybrid Cryptography System based on Vigenère Cipher and Polybius Cipher","authors":"Shivam Vatshayan, R. Haidri, Jitendra Kumar Verma","doi":"10.1109/ComPE49325.2020.9199997","DOIUrl":"https://doi.org/10.1109/ComPE49325.2020.9199997","url":null,"abstract":"The Cryptography is gotten from a Greek word which implies the craft of ensuring data by changing it into a muddled organization and unreadable format. It is a mix of arithmetic and software engineering. The dynamite growth of the Internet has made an expanded familiarity with intrigue uncertainty issues. Even though security is the measure worries over the internet, numerous applications have been created and structured without considering fundamental destinations of data security that is confidentiality, authentication, and protection. As our day by day exercises become increasingly more dependent upon data networks, the significance of an understanding of such security issues and trouble will also increase. To forestall some undesirable clients or individuals to gain admittance to the data, cryptography is required. .This paper introduces a new hybrid security cipher by combining the two most important Ciphers such as Polybius Cipher and Vigenère Cipher. This hybrid encryption cipher provides greater security as compared to classic ciphers.","PeriodicalId":6804,"journal":{"name":"2020 International Conference on Computational Performance Evaluation (ComPE)","volume":"40 1","pages":"848-852"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89118992","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-07-01DOI: 10.1109/ComPE49325.2020.9200084
Koel Datta Purkayastha, Shashank Sekhar Patra, S. Pradhan
In the research community, there is a growing interest in measuring, monitoring and analyzing the pollutant gases and also reducing the level of air pollution in rural and urban areas. The reasons of air pollution demands the modeling of correlation among various polluted concentrations. The work in this paper presents the correlation analysis between CO and temperature, CO and humidity, toluene and temperature, toluene and humidity, temperature and humidity. The correlation is evaluated by Spearman’s Rank-Order Correlation method. The results show that toluene and humidity have strong positive correlation (0.53047), weak positive correlation between toluene and temperature (0. 19524), no correlation between CO and temperature, weak negative correlation between CO and humidity (-0.20184) and again weak negative correlation between temperature and humidity (-0.29126). Moreover, the work of this paper aims to develop battery aware monitoring system to detect CO, NO2, CO2, temperature and humidity concentration that transfers information via wireless medium. Experimental result shows that by proper setting of ON time to Sleep time, the battery life is increased without disturbing the monitoring activities.
{"title":"Study on Correlation among the Pollutant Gases and Strategy to Increase the Battery Lifetime of Sensor Network Based Monitoring System","authors":"Koel Datta Purkayastha, Shashank Sekhar Patra, S. Pradhan","doi":"10.1109/ComPE49325.2020.9200084","DOIUrl":"https://doi.org/10.1109/ComPE49325.2020.9200084","url":null,"abstract":"In the research community, there is a growing interest in measuring, monitoring and analyzing the pollutant gases and also reducing the level of air pollution in rural and urban areas. The reasons of air pollution demands the modeling of correlation among various polluted concentrations. The work in this paper presents the correlation analysis between CO and temperature, CO and humidity, toluene and temperature, toluene and humidity, temperature and humidity. The correlation is evaluated by Spearman’s Rank-Order Correlation method. The results show that toluene and humidity have strong positive correlation (0.53047), weak positive correlation between toluene and temperature (0. 19524), no correlation between CO and temperature, weak negative correlation between CO and humidity (-0.20184) and again weak negative correlation between temperature and humidity (-0.29126). Moreover, the work of this paper aims to develop battery aware monitoring system to detect CO, NO2, CO2, temperature and humidity concentration that transfers information via wireless medium. Experimental result shows that by proper setting of ON time to Sleep time, the battery life is increased without disturbing the monitoring activities.","PeriodicalId":6804,"journal":{"name":"2020 International Conference on Computational Performance Evaluation (ComPE)","volume":"8 1","pages":"260-265"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81159347","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-07-01DOI: 10.1109/ComPE49325.2020.9200173
Rahul Hans, Harjot Kaur
Technologies like machine learning in the current times, have emerged as capable domains of research in Computer Science. In Machine learning, the system is trained on the basis of the available dataset; the dataset may contain many redundant and irrelevant features which may require more memory for storage and also increases the cost of computation. Selection of best features enhances the accuracy of data classification along with working on smallest amount of features is considered as an optimization problem. Metaheuristic algorithms in current times have been used far and wide unravel various optimization problems. In this context, this study aims to discuss the solution of feature selection problem using metaheuristic algorithms and presents a population based comparison of four metaheuristic algorithms for extracting smallest feature subset with utmost accuracy.
{"title":"Feature Selection Using Metaheuristic Algorithms: Concept, Applications and Population Based Comparison","authors":"Rahul Hans, Harjot Kaur","doi":"10.1109/ComPE49325.2020.9200173","DOIUrl":"https://doi.org/10.1109/ComPE49325.2020.9200173","url":null,"abstract":"Technologies like machine learning in the current times, have emerged as capable domains of research in Computer Science. In Machine learning, the system is trained on the basis of the available dataset; the dataset may contain many redundant and irrelevant features which may require more memory for storage and also increases the cost of computation. Selection of best features enhances the accuracy of data classification along with working on smallest amount of features is considered as an optimization problem. Metaheuristic algorithms in current times have been used far and wide unravel various optimization problems. In this context, this study aims to discuss the solution of feature selection problem using metaheuristic algorithms and presents a population based comparison of four metaheuristic algorithms for extracting smallest feature subset with utmost accuracy.","PeriodicalId":6804,"journal":{"name":"2020 International Conference on Computational Performance Evaluation (ComPE)","volume":"1 1","pages":"558-563"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79281927","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-07-01DOI: 10.1109/ComPE49325.2020.9200078
Taher Saifuddin Sakriwala, V. Pandey, Ranjith Kumar Sreenilayam Raveendran
An increasing number of industries around the world are adopting advance manufacturing technologies for product design, among which additive manufacturing (AM) is gaining attention among aerospace, defense, automotive and health care domains. Products with complicated designs demanding lesser weight, improved performance and conformance are manufactured by companies using AM technologies. Some noticeable examples of ducting, airflow system and vent products in the aerospace domain can be seen being made out of AM techniques. One of the benefits being mentioned is the significant reduction in the number of components going into a finished product, thereby impacting the supply chain as well. However, one of the challenges in AM process is to reduce the process variation which affects the reliability of the product. To realize the true benefits of additively manufactured products, it is imperative to ensure that the reliability of AM products is similar or better than traditionally manufactured products. Current state of art for assessing reliability of traditionally manufactured products is mature. However, the reliability assessment framework for products manufactured by advanced technologies are being studied upon. In this direction, this paper highlights a structured reliability assessment framework for additive manufactured products, which will help in identifying, analyzing and mitigating reliability risks as part of product development life cycle.
{"title":"Reliability Assessment Framework for Additive Manufactured Products","authors":"Taher Saifuddin Sakriwala, V. Pandey, Ranjith Kumar Sreenilayam Raveendran","doi":"10.1109/ComPE49325.2020.9200078","DOIUrl":"https://doi.org/10.1109/ComPE49325.2020.9200078","url":null,"abstract":"An increasing number of industries around the world are adopting advance manufacturing technologies for product design, among which additive manufacturing (AM) is gaining attention among aerospace, defense, automotive and health care domains. Products with complicated designs demanding lesser weight, improved performance and conformance are manufactured by companies using AM technologies. Some noticeable examples of ducting, airflow system and vent products in the aerospace domain can be seen being made out of AM techniques. One of the benefits being mentioned is the significant reduction in the number of components going into a finished product, thereby impacting the supply chain as well. However, one of the challenges in AM process is to reduce the process variation which affects the reliability of the product. To realize the true benefits of additively manufactured products, it is imperative to ensure that the reliability of AM products is similar or better than traditionally manufactured products. Current state of art for assessing reliability of traditionally manufactured products is mature. However, the reliability assessment framework for products manufactured by advanced technologies are being studied upon. In this direction, this paper highlights a structured reliability assessment framework for additive manufactured products, which will help in identifying, analyzing and mitigating reliability risks as part of product development life cycle.","PeriodicalId":6804,"journal":{"name":"2020 International Conference on Computational Performance Evaluation (ComPE)","volume":"11 1","pages":"350-354"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79945678","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-07-01DOI: 10.1109/ComPE49325.2020.9200192
Sateesh Reddy Avutu, S. Paul, V.V.B. Anjaneya Prasad, J. K. Verma
Wheelchair has a vital role in the life of disabled people. This paper proposes the novel wheelchair design with speed control, offers more benefits at low cost compared with an existing powered wheelchair. The Brushless DC (BLDC) Hub Motor embedded into 20, 24, and 26-inch spoke wheels. The rear wheels of the ordinary wheelchair replaced with designed wheels. In the rider’s safety point of view, the speed control of the powered wheelchair on-ramps and indoor is a challenging task, and according to ISO, it should be 4.5 kmph. The PID controller was used to restrict the speed of the wheelchair at 5 Km/h, which helps in autonomous navigation. The results show the robustness of excellent speed control and ensure the comfort and safety of the patient.
{"title":"Modelling of Brushless DC Hub Motor to Control the Speed of Indigenous Powered Wheelchair","authors":"Sateesh Reddy Avutu, S. Paul, V.V.B. Anjaneya Prasad, J. K. Verma","doi":"10.1109/ComPE49325.2020.9200192","DOIUrl":"https://doi.org/10.1109/ComPE49325.2020.9200192","url":null,"abstract":"Wheelchair has a vital role in the life of disabled people. This paper proposes the novel wheelchair design with speed control, offers more benefits at low cost compared with an existing powered wheelchair. The Brushless DC (BLDC) Hub Motor embedded into 20, 24, and 26-inch spoke wheels. The rear wheels of the ordinary wheelchair replaced with designed wheels. In the rider’s safety point of view, the speed control of the powered wheelchair on-ramps and indoor is a challenging task, and according to ISO, it should be 4.5 kmph. The PID controller was used to restrict the speed of the wheelchair at 5 Km/h, which helps in autonomous navigation. The results show the robustness of excellent speed control and ensure the comfort and safety of the patient.","PeriodicalId":6804,"journal":{"name":"2020 International Conference on Computational Performance Evaluation (ComPE)","volume":"40 1","pages":"091-094"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79951502","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-07-01DOI: 10.1109/ComPE49325.2020.9200095
N. Das, Kaushik Chandra Deva Sarma
This paper presents the surrounded channel Junctionless field effect transistor (SCJLFET) concept. A study on electrical characteristics of a SCJLFET is also presented. The gate is placed inside the body of the device. In other words the gate is surrounded by the channel region. A simulation study on electrical performance of SCJLFET has been done in TCAD. The study shows that SCJLFET exhibits comparatively higher Ion/Ioff ratio, lower subthreshold swing and higher threshold voltage than a conventional JLFET.
{"title":"Surrounded Channel Junctionless Field Effect Transistor","authors":"N. Das, Kaushik Chandra Deva Sarma","doi":"10.1109/ComPE49325.2020.9200095","DOIUrl":"https://doi.org/10.1109/ComPE49325.2020.9200095","url":null,"abstract":"This paper presents the surrounded channel Junctionless field effect transistor (SCJLFET) concept. A study on electrical characteristics of a SCJLFET is also presented. The gate is placed inside the body of the device. In other words the gate is surrounded by the channel region. A simulation study on electrical performance of SCJLFET has been done in TCAD. The study shows that SCJLFET exhibits comparatively higher Ion/Ioff ratio, lower subthreshold swing and higher threshold voltage than a conventional JLFET.","PeriodicalId":6804,"journal":{"name":"2020 International Conference on Computational Performance Evaluation (ComPE)","volume":"69 1","pages":"608-610"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80031977","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-07-01DOI: 10.1109/ComPE49325.2020.9200101
Deepali Newaskar, B. Patil
Different types of active implantable medical devices (AIMDs), their life and size of the battery and in turn size of AIMDs and ways to overcome the problems are explained in this paper. Life of battery decides the life of AIMD. Recharging the battery wirelessly is the only solution to limit the surgical insertion of the device for the second time i.e. to replace the AIMD. As well as rechargeable battery may reduce the size of AIMD as half of the size of pacemaker is occupied by battery. This paper also explains about the different compensation techniques to implement WPT system to increase efficiency of power transfer.
{"title":"Wireless Charging of AIMDs-Compensation Circuits","authors":"Deepali Newaskar, B. Patil","doi":"10.1109/ComPE49325.2020.9200101","DOIUrl":"https://doi.org/10.1109/ComPE49325.2020.9200101","url":null,"abstract":"Different types of active implantable medical devices (AIMDs), their life and size of the battery and in turn size of AIMDs and ways to overcome the problems are explained in this paper. Life of battery decides the life of AIMD. Recharging the battery wirelessly is the only solution to limit the surgical insertion of the device for the second time i.e. to replace the AIMD. As well as rechargeable battery may reduce the size of AIMD as half of the size of pacemaker is occupied by battery. This paper also explains about the different compensation techniques to implement WPT system to increase efficiency of power transfer.","PeriodicalId":6804,"journal":{"name":"2020 International Conference on Computational Performance Evaluation (ComPE)","volume":"20 1","pages":"173-177"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82681256","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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