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2021 6th International Conference on Signal Processing, Computing and Control (ISPCC)最新文献

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An Efficient Encryption-Authentication Scheme for Electrocardiogram Data using the 3DES and Water Cycle Optimization Algorithm 基于3DES和水循环优化算法的高效心电图数据加密认证方案
2021 6th International Conference on Signal Processing, Computing and Control (ISPCC) Pub Date : 2021-10-07 DOI: 10.1109/ISPCC53510.2021.9609415
Nisha Raheja, A. Manocha
{"title":"An Efficient Encryption-Authentication Scheme for Electrocardiogram Data using the 3DES and Water Cycle Optimization Algorithm","authors":"Nisha Raheja, A. Manocha","doi":"10.1109/ISPCC53510.2021.9609415","DOIUrl":"https://doi.org/10.1109/ISPCC53510.2021.9609415","url":null,"abstract":"To share the recorded ECG data with the cardiologist in Golden Hours in an efficient and secured manner via tele-cardiology may save the lives of the population residing in rural areas of a country. This paper proposes an encryption-authentication scheme for secure the ECG data. The main contribution of this work is to generate a one-time padding key and deploying an encryption algorithm in authentication mode to achieve encryption and authentication. This is achieved by a water cycle optimization algorithm that generates a completely random one-time padding key and Triple Data Encryption Standard (3DES) algorithm for encrypting the ECG data. To validate the accuracy of the proposed encryption authentication scheme, experimental results were performed on standard ECG data and various performance parameters were calculated for it. The results show that the proposed algorithm improves security and passes the statistical key generation test.","PeriodicalId":113266,"journal":{"name":"2021 6th International Conference on Signal Processing, Computing and Control (ISPCC)","volume":"650 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132126203","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
Ear-Based Biometric System Using Artificial Intelligence 基于耳朵的人工智能生物识别系统
2021 6th International Conference on Signal Processing, Computing and Control (ISPCC) Pub Date : 2021-10-07 DOI: 10.1109/ISPCC53510.2021.9609409
R. S. Krishna, Kolachina Srinivas, P. Anudeep, P. Vardhini
{"title":"Ear-Based Biometric System Using Artificial Intelligence","authors":"R. S. Krishna, Kolachina Srinivas, P. Anudeep, P. Vardhini","doi":"10.1109/ISPCC53510.2021.9609409","DOIUrl":"https://doi.org/10.1109/ISPCC53510.2021.9609409","url":null,"abstract":"Biometrics is the science of identification and verifying the identity of an individual supported the physical characteristics. Biometric based identification methods have proved to be more natural. There are many methods in biometrics existing today supported pattern recognition where the characteristics taken are palm or iris or fingerprint. Our motto is to make a biometric system using the ear as the main object. Among various physiological biometrics, biometrics of ear has been found to be the foremost interesting and promising one. The ear of human goes through very small changes as the age goes on. It also has no changes as expression change. So, ear biometrics emerges as an efficient biometric method for human identification and will even be used like other biometrics. They need an expensive and stable structure that's preserved well even at the adulthood. In this paper Ear based biometric system using artificial intelligence is proposed and has been implemented using the technique of Convolutional neural network.","PeriodicalId":113266,"journal":{"name":"2021 6th International Conference on Signal Processing, Computing and Control (ISPCC)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129964434","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
Soft Security Resource Scheduling Issues in Cloud Computing: A Review 云计算中的软安全资源调度问题综述
2021 6th International Conference on Signal Processing, Computing and Control (ISPCC) Pub Date : 2021-10-07 DOI: 10.1109/ISPCC53510.2021.9609428
Himanshu, N. Mangla
{"title":"Soft Security Resource Scheduling Issues in Cloud Computing: A Review","authors":"Himanshu, N. Mangla","doi":"10.1109/ISPCC53510.2021.9609428","DOIUrl":"https://doi.org/10.1109/ISPCC53510.2021.9609428","url":null,"abstract":"Cloud computing is emerging system which provides easier access to multiple applications through virtualized resources. It’s a model of service which inspires the users to access the various resources without owing them as per the requirement over the web. Hence it is more convenient and cost efficient, but this feature brings the issue of data security with it. Under this paper, security challenges that could arouse and methods to overcome the same has been explored. In today’s challenging world Cloud computing is equally important to any business but at the same time data privacy is also a big concern. Due to this reason cloud computing companies gives more importance to security of data.","PeriodicalId":113266,"journal":{"name":"2021 6th International Conference on Signal Processing, Computing and Control (ISPCC)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132861080","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
Design and Implementation of Artificial Intelligence (AI) Based Home Automation 基于人工智能(AI)的家庭自动化设计与实现
2021 6th International Conference on Signal Processing, Computing and Control (ISPCC) Pub Date : 2021-10-07 DOI: 10.1109/ISPCC53510.2021.9609482
Mehul Manhas, Divij Sanduja, Nikhil Aggarwal, Rashmi Vashisth
{"title":"Design and Implementation of Artificial Intelligence (AI) Based Home Automation","authors":"Mehul Manhas, Divij Sanduja, Nikhil Aggarwal, Rashmi Vashisth","doi":"10.1109/ISPCC53510.2021.9609482","DOIUrl":"https://doi.org/10.1109/ISPCC53510.2021.9609482","url":null,"abstract":"This paper presents the idea of controlling switches of different home appliances with the self-developed android application and a micro-controller based Printed Circuit Board (PCB). Primary use of this model is to make places hands-free with the help of contact-less control of all wired electrical devices. In this, the commands are given through the android application that have been designed using “Java” in Android Studio, the input format is taken as voice commands/buttons. The voice command is then translated into string which is sent to the HC-05 Bluetooth module for the decision-making process. The control structure for the appliance selection is present in the PIC microcontroller 16F887, which accepts signal through HC-05 which is connected with the Universal Synchronized Asynchronized Receiver Transmitter (USART), as the string sent by the Application matches with the string coded with “Embedded C” in PIC. It will give signal to the 8-channel relay which switches the relay ON/OFF, which is in turn connected with the appliances. For connecting the application with the smartphone, Bluetooth technology is used. Microcontroller used in this paper acts as a final controller and gives commands to the relay which finally controls the appliances. Use of this technology can be incorporated in various places where a lot of switching is required and time must be saved, also we can use this in homes, and all major public places keeping in mind with the current circumstances of COVID-19, wherein it has become necessary to make the daily things in life contactless.","PeriodicalId":113266,"journal":{"name":"2021 6th International Conference on Signal Processing, Computing and Control (ISPCC)","volume":"175 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115792823","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 Comprehensive Study for the Hindi Language to Implement Supervised Text Classification Techniques 印地语实施监督文本分类技术的综合研究
2021 6th International Conference on Signal Processing, Computing and Control (ISPCC) Pub Date : 2021-10-07 DOI: 10.1109/ISPCC53510.2021.9609401
V. K. Soni, Smita Selot
{"title":"A Comprehensive Study for the Hindi Language to Implement Supervised Text Classification Techniques","authors":"V. K. Soni, Smita Selot","doi":"10.1109/ISPCC53510.2021.9609401","DOIUrl":"https://doi.org/10.1109/ISPCC53510.2021.9609401","url":null,"abstract":"A large amount of feedback, comments, and postings made every second in social networking is rapidly growing the social database. Now, enormous data must be analyzed to determine the direction of people’s opinions about a certain business and its products. The bulk of evaluations on the internet are in English, however as technology develops and people’s knowledge expands, Also the amount of online information available in Hindi languages grows. To comprehend people’s sentiments around real-world things, due to this Hindi language sentiment analysis is necessary; their reviews are equally important to us. For categorization accuracy, we used the Hindi language resource for general news headlines from several news sources. For text categorization, we utilized machine learning (ML) classification methods such as Random Forest (RF), Support Vector Machines (SVM), Naive Bayes (NB), and Logistic Regression (LR), and the accuracy varied.","PeriodicalId":113266,"journal":{"name":"2021 6th International Conference on Signal Processing, Computing and Control (ISPCC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117144156","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
Investigation of Visible Light Communication in an Indoor Environment: A Case Study of Afe Babalola University’s Communication Laboratory 室内环境中可见光通信的研究:以巴巴罗拉大学通信实验室为例
2021 6th International Conference on Signal Processing, Computing and Control (ISPCC) Pub Date : 2021-10-07 DOI: 10.1109/ISPCC53510.2021.9609386
Olawale Joshua Olaluyi, Ayodeji Olalekan Salau, I. E. Owolabi
{"title":"Investigation of Visible Light Communication in an Indoor Environment: A Case Study of Afe Babalola University’s Communication Laboratory","authors":"Olawale Joshua Olaluyi, Ayodeji Olalekan Salau, I. E. Owolabi","doi":"10.1109/ISPCC53510.2021.9609386","DOIUrl":"https://doi.org/10.1109/ISPCC53510.2021.9609386","url":null,"abstract":"In this paper, the authors used the communications laboratory of the Afe Babalola University, Ado-Ekiti (ABUAD), Nigeria as a case study for an indoor VLC broadband communication experiment. For the purpose of experimentation, eight light emitting diodes (LEDs) were symmetrically located on the ceiling (as transmitters) and a photodiode (as a receiver) was located on the floor of the laboratory. This was aimed at determining the degree of illuminance, optical power, and signal-to-noise ratio (SNR) experienced within the laboratory. MATLAB software tool was used for the computation. Results show that the laboratory receives adequate illumination when the half-power semi-angle (ϕ1/2) of the LED varies from 15° to 65 ° with average of 250 (1x) to 680 (1x), respectively. However, the average optical power of -3dBm and SNR = 0dB at ϕ1/2 = 15° are inadequate for data communication, while the corresponding values of signal power = 28dBm and SNR = 61dB at ϕ1/2 = 65° are quite adequate for wideband communication anywhere within the laboratory.","PeriodicalId":113266,"journal":{"name":"2021 6th International Conference on Signal Processing, Computing and Control (ISPCC)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117305576","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
Recognition of Various Scripts Using Machine Learning and Deep Learning techniques-A Review 使用机器学习和深度学习技术识别各种脚本-综述
2021 6th International Conference on Signal Processing, Computing and Control (ISPCC) Pub Date : 2021-10-07 DOI: 10.1109/ISPCC53510.2021.9609404
Sandhya Sharma, Sheifali Gupta
{"title":"Recognition of Various Scripts Using Machine Learning and Deep Learning techniques-A Review","authors":"Sandhya Sharma, Sheifali Gupta","doi":"10.1109/ISPCC53510.2021.9609404","DOIUrl":"https://doi.org/10.1109/ISPCC53510.2021.9609404","url":null,"abstract":"Due to the advancement of technology and computing, digitization of printed or handwritten text has become popular these days. Artificial Intelligence(AI), plays an important role in the advancement of technology and is considered for developing smart machines which can perform numerous tasks that require human intelligence. AI is an umbrella that covers everything which is required to make machines smarter. Machine Learning(ML) is an AI system that learns itself depending upon the algorithms and is a subset of AI where Deep Learning is the subset of ML which is usually applied to larger datasets. This paper proposes a survey for the recognition of various texts which are handwritten in nature based on ML and DL approaches. From the survey, it can be found how much accuracy is obtained for the recognition of a particular script based upon the technique used.","PeriodicalId":113266,"journal":{"name":"2021 6th International Conference on Signal Processing, Computing and Control (ISPCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129349563","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
An Image Processing Techniques For Pattern Detection In Covid-19 一种新型冠状病毒模式检测的图像处理技术
2021 6th International Conference on Signal Processing, Computing and Control (ISPCC) Pub Date : 2021-10-07 DOI: 10.1109/ISPCC53510.2021.9609506
Simran Kaur, C. Diwaker
{"title":"An Image Processing Techniques For Pattern Detection In Covid-19","authors":"Simran Kaur, C. Diwaker","doi":"10.1109/ISPCC53510.2021.9609506","DOIUrl":"https://doi.org/10.1109/ISPCC53510.2021.9609506","url":null,"abstract":"The use of face mask is essential at public places for the prevention of COVID-19. In order to detect whether someone has worn mask or not there is need of a mechanism that captures the image and detect the mask pattern and takes decision accordingly. Applications of image processing for decision making after face mask pattern detection to assist the prevention of COVID-19 has been considered. The existing researches in field of image processing and pattern detection have been considered. The systems that are making use of neural network to train the network model in order to perform prediction are also examined. The major issues of existing research are the time consumption and lack of accuracy. More over the size of image also influence the performance of system. Various mechanisms used in case of existing research to perform pattern detection have been reviewed. Present work considers the role of image sensor, image processing unit, image compression mechanism and pattern detection mechanism.","PeriodicalId":113266,"journal":{"name":"2021 6th International Conference on Signal Processing, Computing and Control (ISPCC)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127111841","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 Review on Protein Subcellular Localization Prediction using Microscopic Images 利用显微图像预测蛋白质亚细胞定位的研究进展
2021 6th International Conference on Signal Processing, Computing and Control (ISPCC) Pub Date : 2021-10-07 DOI: 10.1109/ISPCC53510.2021.9609437
Sonam Aggarwal, Sheifali Gupta, Rakesh Ahuja
{"title":"A Review on Protein Subcellular Localization Prediction using Microscopic Images","authors":"Sonam Aggarwal, Sheifali Gupta, Rakesh Ahuja","doi":"10.1109/ISPCC53510.2021.9609437","DOIUrl":"https://doi.org/10.1109/ISPCC53510.2021.9609437","url":null,"abstract":"Subcellular localization of proteins can provide essential information about their functions and structures in cells. With the rapid advancement in modern molecular imaging techniques, bioimages have received considerable attention for automatically assessing the location of proteins in subcellular compartments. Fluorescence microscopy is the most commonly used technique to obtain images of protein patterns in the cell. Knowledge of protein subcellular localization has also proven helpful in early diagnosis of the disease and drug targeting treatment. In this paper, the recent progress in automated Protein Subcellular Localization (PSL) prediction using microscopic images obtained from confocal microscopy has been systematically reviewed. First, an overview of different datasets available for protein subcellular localization prediction has been given. Then, an overview of various machine learning methodologies has been presented, followed by various deep learning techniques applied for detecting protein subcellular localization. Finally, this review summarizes the future prospects and challenges faced in this field.","PeriodicalId":113266,"journal":{"name":"2021 6th International Conference on Signal Processing, Computing and Control (ISPCC)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127244742","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
ISPCC 2021 Cover Page ISPCC 2021封面
2021 6th International Conference on Signal Processing, Computing and Control (ISPCC) Pub Date : 2021-10-07 DOI: 10.1109/ispcc53510.2021.9609372
{"title":"ISPCC 2021 Cover Page","authors":"","doi":"10.1109/ispcc53510.2021.9609372","DOIUrl":"https://doi.org/10.1109/ispcc53510.2021.9609372","url":null,"abstract":"","PeriodicalId":113266,"journal":{"name":"2021 6th International Conference on Signal Processing, Computing and Control (ISPCC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127448487","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
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