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2020 International Conference on Computational Performance Evaluation (ComPE)最新文献

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Survey on Lung Cancer Detection Techniques 肺癌检测技术综述
2020 International Conference on Computational Performance Evaluation (ComPE) Pub Date : 2020-07-01 DOI: 10.1109/ComPE49325.2020.9200019
V. Prakash, P. Smitha Vas
{"title":"Survey on Lung Cancer Detection Techniques","authors":"V. Prakash, P. Smitha Vas","doi":"10.1109/ComPE49325.2020.9200019","DOIUrl":"https://doi.org/10.1109/ComPE49325.2020.9200019","url":null,"abstract":"The second leading cause for the exponential increase in the mortality rate globally is due to lung cancer. Over-consumption of tobacco and cigarette are the major reasons. Uncontrollable cell growth in lung region will affect the survival rate of humans. Manual interpretation of disease prediction might be challenging due to the exponential increase in medical reports. So, early detection of tumor from proper manifestation can be done through Computer Aided Diagnosis (CAD) techniques. In this paper, we present a comprehensive analysis of different lung cancer detection techniques for predicting the nodule as benign or malicious.","PeriodicalId":6804,"journal":{"name":"2020 International Conference on Computational Performance Evaluation (ComPE)","volume":"75 1","pages":"800-803"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74172885","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}
引用次数: 3
Design, Modeling and Study of Inverter Integrated Reactive Power Compensation for Isolated Rural Microgrid 孤立型农村微网逆变集成无功补偿的设计、建模与研究
2020 International Conference on Computational Performance Evaluation (ComPE) Pub Date : 2020-07-01 DOI: 10.1109/ComPE49325.2020.9199992
V. K. Singh, Ashu Verma, T. Bhatti
{"title":"Design, Modeling and Study of Inverter Integrated Reactive Power Compensation for Isolated Rural Microgrid","authors":"V. K. Singh, Ashu Verma, T. Bhatti","doi":"10.1109/ComPE49325.2020.9199992","DOIUrl":"https://doi.org/10.1109/ComPE49325.2020.9199992","url":null,"abstract":"Diesel/Biogas generators are generally accompanied with renewable based isolated system due to the sporadic nature of renewable resources. One of the main difficulties associated with small sized isolated rural system is voltage fluctuation due to small disturbances. The rural load mainly comprises of household lighting, agriculture pumps & equipment and small commercial/industrial blocks. The voltage fluctuation affects the performance as well as the life of the electrical equipment. In this paper an isolated rural microgrid is considered with renewable energy sources being supported by diesel generator. The renewable energy resources are hydro with induction generator and Photo Voltaic System. The system is modeled such that inverter associated with Photo Voltaic System provides reactive power compensation apart from the diesel genset. Accordingly, DC Link capacitor and Inductor associated with PV Inverter are designed. The objective of the system study is to deliver uninterrupted and reliable power supply by maintaining regulation of the voltage. The results are verified with step change in load and step change in input solar power to study the dynamic performance of the system. The modeling has been carried out in Simulink.","PeriodicalId":6804,"journal":{"name":"2020 International Conference on Computational Performance Evaluation (ComPE)","volume":"55 4 1","pages":"205-211"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80951270","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}
引用次数: 0
A Machine Learning Approach to Anaphora Resolution in Nepali Language 尼泊尔语回指消解的机器学习方法
2020 International Conference on Computational Performance Evaluation (ComPE) Pub Date : 2020-07-01 DOI: 10.1109/ComPE49325.2020.9200135
Apurbalal Senapati, Arun Poudyal, P. Adhikary, Sahana Kaushar, Anmol Mahajan, Baidya Nath Saha
{"title":"A Machine Learning Approach to Anaphora Resolution in Nepali Language","authors":"Apurbalal Senapati, Arun Poudyal, P. Adhikary, Sahana Kaushar, Anmol Mahajan, Baidya Nath Saha","doi":"10.1109/ComPE49325.2020.9200135","DOIUrl":"https://doi.org/10.1109/ComPE49325.2020.9200135","url":null,"abstract":"In this paper, we attempt a machine learning (ML) approach to Anaphora Resolution (AR) system in Nepali language. It is one of the pioneering approaches in anaphora resolution using machine learning in Nepali language, which is a resource-limited language. For this work, we have developed our own data set in the standard format available in this domain. Data has been tagged with the necessary information like Parts-of-speech (POS), Named entity, Chunking information, Gender, Number, Person, etc. We divided the data for training and testing purposes in approximately 5:1 ratio and ML classifiers are used for training and testing. Results show encouraging for further progress.","PeriodicalId":6804,"journal":{"name":"2020 International Conference on Computational Performance Evaluation (ComPE)","volume":"117 1","pages":"436-441"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81089582","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}
引用次数: 2
Hardware Performance Analysis of Mobile-Based Augmented Reality Systems 基于移动的增强现实系统硬件性能分析
2020 International Conference on Computational Performance Evaluation (ComPE) Pub Date : 2020-07-01 DOI: 10.1109/ComPE49325.2020.9200079
Kumar Ashutosh
{"title":"Hardware Performance Analysis of Mobile-Based Augmented Reality Systems","authors":"Kumar Ashutosh","doi":"10.1109/ComPE49325.2020.9200079","DOIUrl":"https://doi.org/10.1109/ComPE49325.2020.9200079","url":null,"abstract":"Mobile-based augmented reality (AR) systems are occupying consumer markets at a fast rate. Mobile-based AR applications are successful owing to the ease of access and good hardware that our smartphones have. However, with the increasing demand for applications, the AR systems need to be accurate and energy-efficient. State of the art hardware specifications of our smartphones allows us to perform a variety of tasks, including video screening, navigation, and browsing. Firstly, applications of augmented reality and the hardware challenges associated with them are discussed. Next, an analysis of two important hardware components - global positioning system (GPS) and battery performance is presented, both in the capacity of AR applications. It is observed that current hardware specifications are good enough for a wide range of applications except for applications that require high accuracy.","PeriodicalId":6804,"journal":{"name":"2020 International Conference on Computational Performance Evaluation (ComPE)","volume":"71 1","pages":"671-675"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86312296","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}
引用次数: 1
A Novel Algorithm for Shot Boundary Detection and Segmentation of Broadcast News Videos 一种新的广播新闻视频镜头边界检测与分割算法
2020 International Conference on Computational Performance Evaluation (ComPE) Pub Date : 2020-07-01 DOI: 10.1109/ComPE49325.2020.9200047
Pranabjyoti Haloi, M. Bhuyan, Pooja Rani Borah, Dibyajyoti Chatterjee
{"title":"A Novel Algorithm for Shot Boundary Detection and Segmentation of Broadcast News Videos","authors":"Pranabjyoti Haloi, M. Bhuyan, Pooja Rani Borah, Dibyajyoti Chatterjee","doi":"10.1109/ComPE49325.2020.9200047","DOIUrl":"https://doi.org/10.1109/ComPE49325.2020.9200047","url":null,"abstract":"News videos are an important means of conveying information. But the number of news broadcasted each day in a particular channel is very large and considering the number of news channels, it is a huge amount of information conveyed each day. Sorting of news videos plays a very important role in such cases to create a well-categorized database of news videos. Broadcast news video shot segmentation is one of the vital parts of sorting. This paper presents a novel algorithm that can detect the shot boundaries of news videos efficiently and perform shot segmentation accordingly. The algorithm adapts itself according to the input news video and hence is news channel independent.","PeriodicalId":6804,"journal":{"name":"2020 International Conference on Computational Performance Evaluation (ComPE)","volume":"10 1","pages":"751-756"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86570848","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}
引用次数: 3
Mimicking Hybrid Manipulator Humanoid Torso by Applying Vector Multiplication Using Microsoft Kinect for Xbox One 利用微软Xbox One的Kinect矢量乘法模拟混合机械手人形躯干
2020 International Conference on Computational Performance Evaluation (ComPE) Pub Date : 2020-07-01 DOI: 10.1109/ComPE49325.2020.9200120
Aira F. Alamag, Carlo C. Aleta, Mara Alexandra T. Castillo, Praise B. Deblois, Mc Lourenz D. Maco, R. Tolentino
{"title":"Mimicking Hybrid Manipulator Humanoid Torso by Applying Vector Multiplication Using Microsoft Kinect for Xbox One","authors":"Aira F. Alamag, Carlo C. Aleta, Mara Alexandra T. Castillo, Praise B. Deblois, Mc Lourenz D. Maco, R. Tolentino","doi":"10.1109/ComPE49325.2020.9200120","DOIUrl":"https://doi.org/10.1109/ComPE49325.2020.9200120","url":null,"abstract":"The study aimed to use the skeletal tracking feature of Microsoft Kinect for Xbox One for acquiring angle in mimicking hybrid manipulator humanoid torso using vector multiplication. The proponents make use of the design of a humanoid torso that enhances the workspace and bending of the humanoid torso using a hybrid manipulator designed from a previous study. The position of the user’s joint was obtained by using the Kinect’s skeletal tracking feature. Using LabVIEW, the proponents acquired the needed vector through cross product and the needed angle through dot product from the two vectors created by two points. The angles obtained were fed to the microcontroller through serial communication to convert it to signals to actuate the servo motors in the hybrid manipulator humanoid torso.","PeriodicalId":6804,"journal":{"name":"2020 International Conference on Computational Performance Evaluation (ComPE)","volume":"16 1","pages":"453-458"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87978829","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}
引用次数: 1
Designing and Performance Analysis of a Small-Scale Power Generating System Utilizing Rail Locomotives 小型轨道机车发电系统设计与性能分析
2020 International Conference on Computational Performance Evaluation (ComPE) Pub Date : 2020-07-01 DOI: 10.1109/ComPE49325.2020.9200145
Susmita Ghosh, Muntazir Billah, Imran Hossain, S. M. Tanbir-UL-Islam, R. Islam, Anup Kumar Roy
{"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}
引用次数: 0
Different Approaches in Depression Analysis : A Review 抑郁症分析的不同方法综述
2020 International Conference on Computational Performance Evaluation (ComPE) Pub Date : 2020-07-01 DOI: 10.1109/ComPE49325.2020.9200001
Swathy Krishna, Anju. J
{"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}
引用次数: 4
A Feature Selection Method using PSO-MI 基于PSO-MI的特征选择方法
2020 International Conference on Computational Performance Evaluation (ComPE) Pub Date : 2020-07-01 DOI: 10.1109/ComPE49325.2020.9200034
Himangshu Shekhar Baruah, Jyoti Thakur, S. Sarmah, N. Hoque
{"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}
引用次数: 4
Design of Hybrid Cryptography System based on Vigenère Cipher and Polybius Cipher 基于vigenires密码和Polybius密码的混合密码系统设计
2020 International Conference on Computational Performance Evaluation (ComPE) Pub Date : 2020-07-01 DOI: 10.1109/ComPE49325.2020.9199997
Shivam Vatshayan, R. Haidri, Jitendra Kumar Verma
{"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}
引用次数: 4
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