2020 IEEE 1st International Conference for Convergence in Engineering (ICCE)最新文献

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Decoupled MultiLoop Control of Switched Inductor Z-Source Inverters for Distributed Generations 分布式世代开关电感z源逆变器的解耦多环控制
2020 IEEE 1st International Conference for Convergence in Engineering (ICCE) Pub Date : 2020-09-05 DOI: 10.1109/ICCE50343.2020.9290730
S. singh, S. Bose, P. Dwivedi
{"title":"Decoupled MultiLoop Control of Switched Inductor Z-Source Inverters for Distributed Generations","authors":"S. singh, S. Bose, P. Dwivedi","doi":"10.1109/ICCE50343.2020.9290730","DOIUrl":"https://doi.org/10.1109/ICCE50343.2020.9290730","url":null,"abstract":"Switched inductor topology is an advanced byproduct of Z-Source inverter which is equipped with enlarged voltage boost factor capability, employing less duty ratio and high modulation index. A well established closed loop power control requires high quality waveform followed by a good current controller which should be precise and should have significant effect on the dynamics of the system. Transient modelling is performed to widen the investigative study of non-minimum phase behaviour caused by right hand plane zeroes exhibited due to the impedance network on the DC side of these inverters. Also the independency of DC side and AC side control has been kept in discussion with separate controller designs. This paper presents an idea of decoupled AC side control in synchronous reference frame to eliminate the cross coupled behaviour of d-q axes during independent control of active and reactive powers. Simulation result shows good reference tracking and disturbance rejection property, which is recognised to be evident and substantial using MATLAB as testing platform.","PeriodicalId":421963,"journal":{"name":"2020 IEEE 1st International Conference for Convergence in Engineering (ICCE)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128884716","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 Novel Design of Reversible Gate using Quantum-Dot Cellular Automata (QCA) 基于量子点元胞自动机(QCA)的可逆门设计
2020 IEEE 1st International Conference for Convergence in Engineering (ICCE) Pub Date : 2020-09-05 DOI: 10.1109/ICCE50343.2020.9290583
Abhimanyu Roy, Akash Singh, A. Saha, Suvranil Saha, V. Gupta, Zhu Qingyi, S. Bhattacharya, Subhankar Bhattacharjee
{"title":"A Novel Design of Reversible Gate using Quantum-Dot Cellular Automata (QCA)","authors":"Abhimanyu Roy, Akash Singh, A. Saha, Suvranil Saha, V. Gupta, Zhu Qingyi, S. Bhattacharya, Subhankar Bhattacharjee","doi":"10.1109/ICCE50343.2020.9290583","DOIUrl":"https://doi.org/10.1109/ICCE50343.2020.9290583","url":null,"abstract":"Quantum computing is one of the emerging technologies which is an alternative for Complementary Metal Oxide Semiconductor (CMOS) based design approaches such as VLSI and ULSI. The advantage of this new domain includes substantially faster processing speed and requirement of very less area for circuit integration as compared to CMOS technology. Quantum-dot Cellular Automata (QCA) is the backbone of quantum computing for integrated circuit designing with the execution of conventional logical operations. Implementation of the reversible gate using QCA is one of the fundamental requirements to design complex logic circuits because such a reversible gate is advantageous not only in terms of power consumption and energy dissipation but also in terms of functional area requirements for the physical integration of digital circuits. There are multiple applications of reversible logic circuits in various fields such as low power CMOS, Nanotechnology, DNA computing, quantum computing, etc. This paper provides modified and efficient designs of several reversible logic gates using QCA in optimum requirements.","PeriodicalId":421963,"journal":{"name":"2020 IEEE 1st International Conference for Convergence in Engineering (ICCE)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121031330","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
Modified Genetic Based Algorithm for Load Balancing in Cloud Computing 基于改进遗传算法的云计算负载均衡
2020 IEEE 1st International Conference for Convergence in Engineering (ICCE) Pub Date : 2020-09-05 DOI: 10.1109/ICCE50343.2020.9290563
Soumen Swarnakar, Neeraj Kumar, Amit Kumar, Chandan Banerjee
{"title":"Modified Genetic Based Algorithm for Load Balancing in Cloud Computing","authors":"Soumen Swarnakar, Neeraj Kumar, Amit Kumar, Chandan Banerjee","doi":"10.1109/ICCE50343.2020.9290563","DOIUrl":"https://doi.org/10.1109/ICCE50343.2020.9290563","url":null,"abstract":"Cloud-based Computation is one of the important computing technologies where demand-based services and resources from the user's application to cloud data center with the help of internet connection can be achieved as pay on demand. The software, resources, applications are shared among different computing devices in a cloud-based approach. Balancing of Load in cloud computation technology is meant for the distribution of workload to balance loads among different cloud servers connected with different virtual machines. The main idea of load balancing is to optimize resource usage, cost of data center and virtual machines, maximization of throughput, reduction of response time and avoidance of overloading in different virtual machines as well as cloud servers. In cloud load balancing fitness checking of different cloud servers as well as virtual machines are playing an important role in cloud applications. In this proposed research paper genetic-based algorithmic approach has been used to handle the load balancing in the cloud environment. Genetic Algorithm can be used for getting solution of an optimization problem. Here it is used to find the fittest virtual machines connected with different Data Centers. Our proposed work is more appropriate compared to different algorithms discussed in [1][2], as in proposed algorithm cloudlets are taking a smaller amount time for execution and performs the load balancing in cloud environment with more efficient way by using strong fittest function for allocating cloudlets into appropriate virtual machines of a data center in cloud environment.","PeriodicalId":421963,"journal":{"name":"2020 IEEE 1st International Conference for Convergence in Engineering (ICCE)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132266989","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: 6
Timing Signal Generator for High Frequency Radar 高频雷达定时信号发生器
2020 IEEE 1st International Conference for Convergence in Engineering (ICCE) Pub Date : 2020-09-05 DOI: 10.1109/ICCE50343.2020.9290680
Jasmin B. Mulla, A. Khandare, R. Patil
{"title":"Timing Signal Generator for High Frequency Radar","authors":"Jasmin B. Mulla, A. Khandare, R. Patil","doi":"10.1109/ICCE50343.2020.9290680","DOIUrl":"https://doi.org/10.1109/ICCE50343.2020.9290680","url":null,"abstract":"In a radar application, Time Signal Generator (TSG) is used to generate timing and control signals which helps radar to operate in different functions. The functions include tracking, detection, and hold mode. Timing Signal Generator is the heart of radar applications. Timing Signal Generator is the main part of radar application, which is responsible for synchronization between Transmitter and receiver for the transmitted signal. In this work, an implementation of timing signal using a Hardware Description Language (HDL) language-based state machine which is responsible for enabling Direct Digital Synthesis and Analog to Digital Converter in the Transmitter and receiver window. Timing Signal Generator implementation on Field Programmable Gate Array is preferred as the entire Timing signal generator unit can be assembled on a single Field programmable gate array chip, and conditional modification can be performed remotely, which is cost-effective. Timing signal generator generation begins by providing an arbitrary frequency and phase signal configuration to DDS-AD9854 from Field programmable gate array. Direct digital synthesis block generates a single-tone signal and Binary Phase Shift Keying signal and a chirp signal based on an input arbitrary signal sent by ZYBO-7010 FPGA.","PeriodicalId":421963,"journal":{"name":"2020 IEEE 1st International Conference for Convergence in Engineering (ICCE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131208363","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 Simple Approach to Detect and Count Missing Cardiac Pulses and PPG Based Heart Rate Sensing 一种简单的方法检测和计数缺失的心脏脉冲和基于PPG的心率传感
2020 IEEE 1st International Conference for Convergence in Engineering (ICCE) Pub Date : 2020-09-05 DOI: 10.1109/ICCE50343.2020.9290530
Soumyadip Jana, Souradeep Mullick, Sayan Sarkar, P. Pal
{"title":"A Simple Approach to Detect and Count Missing Cardiac Pulses and PPG Based Heart Rate Sensing","authors":"Soumyadip Jana, Souradeep Mullick, Sayan Sarkar, P. Pal","doi":"10.1109/ICCE50343.2020.9290530","DOIUrl":"https://doi.org/10.1109/ICCE50343.2020.9290530","url":null,"abstract":"In reference to general mathematics, Pulse is mainly a rapid, momentary change in the amplitude of any signal from a value of baseline to a higher or lower value, followed by a swift return to the baseline value. In the context of medical science, pulses (heart-pulse) are very useful for diagnosing a patient suffering from cardiac anomalies such as arrhythmia, in which the patient suffers from irregular heartbeat when some of the pulses in his cardiac pulse chain are failed to occur which have a predefined interval of time. Hence, the prototype is to be designed such that any such skipped beats do not go undetected. Therefore, in this paper, a novel, simple solution technique is proposed, in which a condition is simulated where one or more pulse would go missing, a process named Missing Pulse Generation, after which, detection of the missing pulses and their counting after a certain time, have been executed, and along with an external PPG (Photoplethysmogram) based Pulse sensing mechanism has been used to measure patient’s heart beats per minute (BPM) physically, so that, a specialist can prescribe a suitable solution for the patient’s recovery. In heart rate monitoring system, conventional missing pulse detection technique has been used since long time by which only the presence of unnatural missing pulses can be detected but here our approach is more effective than the conventional one as the detection & counting of missing & extra cardiac pulses have been brought together from human cardiac pulse chain and heart rate sensing mechanism in an automated & accurate way by minimizing the diagnosis time which is very much useful for long continuous heart-rate monitoring.","PeriodicalId":421963,"journal":{"name":"2020 IEEE 1st International Conference for Convergence in Engineering (ICCE)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132873900","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
Design of Automatic Key Finder for Search Engine Optimization in Internet of Everything 面向万物互联搜索引擎优化的自动键查找器设计
2020 IEEE 1st International Conference for Convergence in Engineering (ICCE) Pub Date : 2020-09-05 DOI: 10.1109/ICCE50343.2020.9290669
G. Khekare, Pushpneel Verma
{"title":"Design of Automatic Key Finder for Search Engine Optimization in Internet of Everything","authors":"G. Khekare, Pushpneel Verma","doi":"10.1109/ICCE50343.2020.9290669","DOIUrl":"https://doi.org/10.1109/ICCE50343.2020.9290669","url":null,"abstract":"Technology is advancing day by day. Automation is playing an important role. Internet of Everything (IoE) has emerged as a key technology that enables everything to be connected through the internet. In every field Internet of everything is generating a vast amount of data like health system, traffic system, smart city monitoring system, education system, social networking sites, government organizations, etc. So to handle this huge amount of data, a system is required through which it becomes easier to track, analyze, handle, and apply that data in a better way. A unique system is proposed in this article through which important keys are identified. From those keys, desired data can be retrieved quickly and efficiently. The proposed system uses the entire new process to get the desired output. The k-means clustering with a modified entire process is used. By using natural language processing the data is accessed by the voice command. Through simulation results, it is proved that the proposed system has given better results and the searching process becomes smoother and efficient.","PeriodicalId":421963,"journal":{"name":"2020 IEEE 1st International Conference for Convergence in Engineering (ICCE)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134418006","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
Smart Cart: A Distributed Framework 智能购物车:一个分布式框架
2020 IEEE 1st International Conference for Convergence in Engineering (ICCE) Pub Date : 2020-09-05 DOI: 10.1109/ICCE50343.2020.9290605
Bipin Kumar Yadav, Akash Burman, Abhoy Mahato, Manish Choudhary, A. Kundu
{"title":"Smart Cart: A Distributed Framework","authors":"Bipin Kumar Yadav, Akash Burman, Abhoy Mahato, Manish Choudhary, A. Kundu","doi":"10.1109/ICCE50343.2020.9290605","DOIUrl":"https://doi.org/10.1109/ICCE50343.2020.9290605","url":null,"abstract":"In retail stores, most of the people spend more time in billing queue than the time he spends choosing the items due to long queue in rush time. The average time that customers of any retail store have to spend in the billing queues has a direct influence on the quality analysis of services. Thus, it is important to think about different ways to reduce the waiting time in a queue in real time scenario. We propose a cart system that distributes the whole billing queue into smaller individual units so that no one has to wait for the billing process at point of sales (PoS) for specific items. This device uses radio-frequency identification (RFID) technology to scan each product. A passive RFID sticker tag is attached with all the products. The sticker tag contains information including name and price of the product. The device includes a 13.56 MHz RFID reader/writer module that reads RFID stickers attached to the products. In this covid-19 alarmed situation, this distributed cart system also helps people to maintain social distance avoiding long queues.","PeriodicalId":421963,"journal":{"name":"2020 IEEE 1st International Conference for Convergence in Engineering (ICCE)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134467258","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
Elephant Herding Optimization (EHO) Based Parameters Estimation of Induction Machine Considering the Nonlinear Core-Loss Model 考虑非线性磁芯损耗模型的基于象群优化的感应电机参数估计
2020 IEEE 1st International Conference for Convergence in Engineering (ICCE) Pub Date : 2020-09-05 DOI: 10.1109/ICCE50343.2020.9290586
S. Choudhary, T. Bera
{"title":"Elephant Herding Optimization (EHO) Based Parameters Estimation of Induction Machine Considering the Nonlinear Core-Loss Model","authors":"S. Choudhary, T. Bera","doi":"10.1109/ICCE50343.2020.9290586","DOIUrl":"https://doi.org/10.1109/ICCE50343.2020.9290586","url":null,"abstract":"Estimation of parameters for an induction machine is essential in performance analysis and control scheme design in industrial applications. In this paper, elephant herding optimization (EHO) technique-based parameter estimation technique for an induction motor is studied, and the optimum parameters are obtained using a least mean square technique (LMST). The input impedance is studied at different slip samples and a steady-state model of the squirrel-cage induction machine is developed by incorporating the nonlinear core-loss resistance. The real machine parameters are obtained from the practical experimentation on a squirrel cage induction machine. Real machine parameters are fed to the optimization algorithm as the initial values. By considering the nonlinear core-loss parameter in the equivalent circuit model, the proposed method suggests a more accurate parameter estimation technique. The effectiveness of the proposed EHO-based induction machine parameters optimization techniques is validated by the experimental and simulation results.","PeriodicalId":421963,"journal":{"name":"2020 IEEE 1st International Conference for Convergence in Engineering (ICCE)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134541784","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
Design and Implementation of Trash Collection System for Smart Cities 智慧城市垃圾收集系统的设计与实现
2020 IEEE 1st International Conference for Convergence in Engineering (ICCE) Pub Date : 2020-09-05 DOI: 10.1109/ICCE50343.2020.9290631
S. Garai, Soumyadip Sharma, Biswarup Ganguly
{"title":"Design and Implementation of Trash Collection System for Smart Cities","authors":"S. Garai, Soumyadip Sharma, Biswarup Ganguly","doi":"10.1109/ICCE50343.2020.9290631","DOIUrl":"https://doi.org/10.1109/ICCE50343.2020.9290631","url":null,"abstract":"This paper aims to propose the design and implementation of a microcontroller-based autonomous trash collection device for indoor applications in smart cities. The proposed work demonstrates the working of a prototype model: ROBOBIN along with its accessories using Atmega328p. The different ways of implementations are discussed. This model uses a combination of passive infrared (PIR) sensor, ultrasonic sensor, and optical tracker for navigation. The device is specifically designed to be installed inhospitals and food courts. Experimental results reveal that the device is cost-effective and outperforms the state- of- the- art methods.","PeriodicalId":421963,"journal":{"name":"2020 IEEE 1st International Conference for Convergence in Engineering (ICCE)","volume":"535 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133389530","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 Deep CNN Model for Classification of Brain Tumor from MR Images 一种新的深度CNN模型用于从MR图像中分类脑肿瘤
2020 IEEE 1st International Conference for Convergence in Engineering (ICCE) Pub Date : 2020-09-05 DOI: 10.1109/ICCE50343.2020.9290740
H. Rai, K. Chatterjee, Apita Gupta, Alok Dubey
{"title":"A Novel Deep CNN Model for Classification of Brain Tumor from MR Images","authors":"H. Rai, K. Chatterjee, Apita Gupta, Alok Dubey","doi":"10.1109/ICCE50343.2020.9290740","DOIUrl":"https://doi.org/10.1109/ICCE50343.2020.9290740","url":null,"abstract":"the segmentation of brain tumor and its classification in the early stage is very important for the purpose of diagnosis and treatment. This work introduces a new deep neural network model Lu-Net with less layers, less complexity and very efficient for identifying tumors. The work involves classifying brain magnetic resonance (MR) images from a dataset of 253 images of high pixels into two categories of tumors and non-tumors. MR images are initially resized, cropped, preprocessed, and augmented for accurate and rapid training of deep convolutional neural network (CNN) models. The performance of the Lu-Net model has been evaluated using five types of statistical evaluation matrix accuracy, recall, specificity, F-score and accuracy, and its performance also compared with other two types of model Le-Net and VGG-16. CNN models were trained and evaluated on augmented dataset and tested on untrained datasets. The overall accuracy of Le-Net, VGG-16 and the proposed model is 88%, 90% and 98%, respectively, indicating the superiority of the proposed model.","PeriodicalId":421963,"journal":{"name":"2020 IEEE 1st International Conference for Convergence in Engineering (ICCE)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124057478","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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