2021 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER)最新文献_第6页

Lineament Extraction from Open-Source Digital Elevation Models: a Comparative Analysis 开源数字高程模型的轮廓提取:比较分析

2021 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER) Pub Date : 2021-11-19 DOI: 10.1109/DISCOVER52564.2021.9663691

Swathi Shetty, Pruthviraj Umesh, Amba Shetty

{"title":"Lineament Extraction from Open-Source Digital Elevation Models: a Comparative Analysis","authors":"Swathi Shetty, Pruthviraj Umesh, Amba Shetty","doi":"10.1109/DISCOVER52564.2021.9663691","DOIUrl":"https://doi.org/10.1109/DISCOVER52564.2021.9663691","url":null,"abstract":"The extraction of lineaments from Digital Elevation Models plays an important role in inhospitable and inaccessible mountain forest areas. In this study, the lineaments extracted from different data acquisition techniques; stereo pairs (ALOS (30m), ASTER (30m), CARTOSAT (30m)), and InSAR (SRTM (30m, 90m), TanDEM-X (90m)) are compared. There is a quantifiable difference in the extracted lineaments from 30m and 90m resolution DEMs due to the different data acquisition methods and processing algorithms used. CARTOSAT provides a more number of lineaments than other DEMs. The length of the lineaments extracted is inversely proportional to the vertical accuracy of the DEM over the region. All the DEMs have a consistency in the orientation of the lineament extracted. The DEMs generated from stereo-images have shown higher lineament density than the DEMs acquired through the InSAR technique. This study shows the difference in the lineament extracted from the same resolution DEMs acquired through various acquisition techniques and helps in the selection of suitable DEM for lineament extraction in the dense forest area.","PeriodicalId":413789,"journal":{"name":"2021 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133483311","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

Correlative Analysis of Dynamic Behaviour of Lithium-Ion Cell using MATLAB and Typhoon HIL 基于MATLAB和Typhoon HIL的锂离子电池动态行为相关性分析

2021 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER) Pub Date : 2021-11-19 DOI: 10.1109/DISCOVER52564.2021.9663675

S. Vishnu, K. Pai, P. S. Praveena Krishna, N. Jayalakshmi, S. D. Suraj, Venugopal Prathimala

{"title":"Correlative Analysis of Dynamic Behaviour of Lithium-Ion Cell using MATLAB and Typhoon HIL","authors":"S. Vishnu, K. Pai, P. S. Praveena Krishna, N. Jayalakshmi, S. D. Suraj, Venugopal Prathimala","doi":"10.1109/DISCOVER52564.2021.9663675","DOIUrl":"https://doi.org/10.1109/DISCOVER52564.2021.9663675","url":null,"abstract":"The high energy storage density of a Lithium-ion (Liion) cell makes it a good option for modern mobility system. To realize the economic, safe, and reliable utilization of the Li-ion battery pack under different dynamic conditions, the development of accurate Li-ion cell model is necessary for the behavioral analysis. Thevenin’s Equivalent Electric Circuit (EEC) based cell model is considered in this simulation work. The focus of the paper is to model and simulate Thevenin’s EEC-based Li-ion cell by applying the New European Drive Cycle (NEDC) current profile for Electric Vehicle (EV) applications. The simulation is carried out using both MATLAB/Simulink and Typhoon Hardware-In-the-Loop (HIL) software and resulted models of the cell from both the methods are graphically analyzed. The merits of HIL simulation approach over offline MATLAB/Simulink method are highlighted such as rapid prototyping and the minimum cost of experimental validation. This model-based design approach further saves time and increases the flexibility in subjecting the cell model to different dynamic environments during simulation, unlike MATLAB/Simulink simulation.","PeriodicalId":413789,"journal":{"name":"2021 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131302574","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

Trend in SDN Architecture for DDoS Detection- A Comparative Study 面向DDoS检测的SDN架构趋势对比研究

2021 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER) Pub Date : 2021-11-19 DOI: 10.1109/DISCOVER52564.2021.9663589

Josy Elsa Varghese, Balachandra Muniyal

引用次数: 3

Microfluidic Circulating Tumour Cell Sorter Using Deterministic Lateral Displacement 采用确定性横向位移的微流控循环肿瘤细胞分选器

2021 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER) Pub Date : 2021-11-19 DOI: 10.1109/DISCOVER52564.2021.9663577

S. Ramya, D. Lingaraja, G. Ram, S. Kumar, T. Aravind

引用次数: 3

Biosensors for the Detection of Toxic Contaminants from Water Reservoirs Essential for Potable and Agriculture Needs: A Review 用于检测饮用水和农业用水中有毒污染物的生物传感器:综述

2021 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER) Pub Date : 2021-11-19 DOI: 10.1109/DISCOVER52564.2021.9663693

K. Thirumala Akash, K. Samvrudhi, R. S. Upendra, M. R. Ahmed

{"title":"Biosensors for the Detection of Toxic Contaminants from Water Reservoirs Essential for Potable and Agriculture Needs: A Review","authors":"K. Thirumala Akash, K. Samvrudhi, R. S. Upendra, M. R. Ahmed","doi":"10.1109/DISCOVER52564.2021.9663693","DOIUrl":"https://doi.org/10.1109/DISCOVER52564.2021.9663693","url":null,"abstract":"Water is an essential element for the existence of life on the earth. All the living beings including plants and animals were depends on water for their survival. Human should intake at least 3-4 litters of water every day for proper body functions. Agriculture productivity is also solely depending on the availability of fresh and cultivable water resources. Most of the fresh and cultivable water reservoirs on the globe were contaminated due to the vigorous anthropometric activities and due to the continuous release of industrial effluent comprising toxic heavy metals such as Lead (Pb), Arsenic (As), Cadmium (Cd), Nickel (Ni), Mercury (Hg), Chromium (Cr) and Zinc (Zn) and other elements i.e, Nitrates (N), Potassium (K) and Phosphorus (P). Though N, P, K is essential for plant growth, but the higher levels in drinking water cause serious health issues. To have good quality of water for potable and agriculture purpose the toxic contaminants of the water reservoirs need to be screened &, measured accurately and further to be removed employing green methods. Sensors are the most advanced technology available today to screen and detect the water contaminants with high sensitivity and accuracies. Present review aimed to discuss the toxic impacts of water contaminants such as Fluoride, heavy metals i.e., Lead, Nickel, Cobalt, and other elements i.e Nitrate, Potassium, Phosphorous, further thrown insightful light on literature pertaining to the various sensors with their advantages and limitation in screening, detecting and real time monitoring of the water contaminants. Existing sensor technology unable to detect multiple water contaminants. There exists the research problem and can be addressed by developing an integrated biosensor employed to detect multiple water contaminant, and to provide scope for real time monitoring of toxic contaminants including the heavy metals.","PeriodicalId":413789,"journal":{"name":"2021 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER)","volume":"8 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114035930","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

[Back cover ii] [封底ii]

2021 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER) Pub Date : 2021-11-19 DOI: 10.1109/discover52564.2021.9663720

引用次数: 0

Comparative Study of PI, PID controller for Buck-Boost Converter tuned by Bio-Inspired Optimization Techniques 基于仿生优化技术的Buck-Boost变换器PI、PID控制器的比较研究

2021 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER) Pub Date : 2021-11-19 DOI: 10.1109/DISCOVER52564.2021.9663591

K. Panduranga Vittal, Sayantan Bhanja, Abhijit Keshri

{"title":"Comparative Study of PI, PID controller for Buck-Boost Converter tuned by Bio-Inspired Optimization Techniques","authors":"K. Panduranga Vittal, Sayantan Bhanja, Abhijit Keshri","doi":"10.1109/DISCOVER52564.2021.9663591","DOIUrl":"https://doi.org/10.1109/DISCOVER52564.2021.9663591","url":null,"abstract":"In this paper the Buck-Boost converter was modelled using state-space averaging approach and simulated in MATLAB/Simulink. Buck-Boost converter with closed loop control, operated with PI and also with PID controller for good voltage regulation. Bio-inspired optimization techniques e.g. GreyWolves optimization Technique (GWO), Genetic Algorithm(GA), Particle Swarm optimization (PSO), Ant-Lion optimization (ALO), Whale optimization Algorithm (WOA) were used for tuning PI and also PID controller based Buck-Boost Converter. In order to find out the performances of PI and PID in the Buck-Boost converter, comparison between optimal values of PI parameters $(text{K}_{text{p}}, text{K}_{text{i}})$ and PID parameters $(text{K}_{text{p}}, text{K}_{text{i}}, text{K}_{text{d}})$ obtained by all the above mentioned optimization techniques were performed. The transient behaviour for each optimal values of PI and PID controller was investigated when the system subjected to a load disturbance. Also, for each optimal PI and PID controller error performance indices e.g. Integral Squared Error and Integral Absolute Error were evaluated. The comparison proved that the PID is most suitable controller for Buck-Boost Converter as it is damping out the oscillations caused due to load disturbance 87.56% faster than PI controller. Moreover, based on the evaluated values of error performance indices and dynamic behaviour, it has also been proven that GA is best optimization technique among others for tuning PID in a Buck-Boost Converter.","PeriodicalId":413789,"journal":{"name":"2021 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121450539","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

Prediction and Analysis of Water Requirement in Automated Irrigation System using Artificial Neural Network(ANN) and Lora Technology 基于人工神经网络和Lora技术的自动化灌溉系统需水量预测与分析

2021 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER) Pub Date : 2021-11-19 DOI: 10.1109/DISCOVER52564.2021.9663706

M.N Amogha Hegde, Mahendra S. Naik, S. Chaitra, M. Madhavi, A. Ravichandra

{"title":"Prediction and Analysis of Water Requirement in Automated Irrigation System using Artificial Neural Network(ANN) and Lora Technology","authors":"M.N Amogha Hegde, Mahendra S. Naik, S. Chaitra, M. Madhavi, A. Ravichandra","doi":"10.1109/DISCOVER52564.2021.9663706","DOIUrl":"https://doi.org/10.1109/DISCOVER52564.2021.9663706","url":null,"abstract":"Agriculture is our primary source of food and other raw materials, so it is regarded as a basic human need.70% of farmers and general people depend on agriculture. Regrettably, many farmers continue to use antiquated farming methods. The irrigation system has been practiced in India and other Asian countries from the early times. Due to the scarcity of water in today’s world, smart irrigation methods are becoming increasingly important. An Automated Irrigation system is developed using IoT to overcome the above issue. This project makes use of artificial neural networks (ANN) to optimize water usage in agriculture. Temperature and moisture sensors are used to read the temperature and moisture level of soil in the system. Lora transmitter transmits the sensor data. The data transmitted by the LoRa transmitter is received by the LoRa receiver, which then passes it on to the controller unit. The data is processed and compared to a predetermined threshold value by the controller unit. If the value exceeds the threshold, the motor is activated; otherwise, the motor is turned off. The GSM module is used to convey the motor status to the registered user through SMS. The readings of the sensors and the quantity of water required to reach the threshold value are broadcast to the web once the motor is turned on/off (Thingspeak). Thingspeak is being used to record all sensor data and water consumption for a specific temperature/moisture. ANN analyses the data and determines the amount of water that will be needed in the next few days.","PeriodicalId":413789,"journal":{"name":"2021 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER)","volume":"206 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132032994","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

Mathematical Modeling and Analysis of Demand Response using Distributed Algorithm in Distribution Power System 基于分布式算法的配电系统需求响应数学建模与分析

2021 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER) Pub Date : 2021-11-19 DOI: 10.1109/DISCOVER52564.2021.9663598

Krishna D, Hima Bindu E, S. M

引用次数: 2

Design and Development of High Voltage Linear Amplifier and It’s Application to Piezoelectric Actuators 高压线性放大器的设计与研制及其在压电执行器中的应用

2021 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER) Pub Date : 2021-11-19 DOI: 10.1109/DISCOVER52564.2021.9663592

K. Sushith, Muralidhara, Md. Abdul Raheman

{"title":"Design and Development of High Voltage Linear Amplifier and It’s Application to Piezoelectric Actuators","authors":"K. Sushith, Muralidhara, Md. Abdul Raheman","doi":"10.1109/DISCOVER52564.2021.9663592","DOIUrl":"https://doi.org/10.1109/DISCOVER52564.2021.9663592","url":null,"abstract":"High voltage linear amplifiers are required to drive different actuators such as Magnetic actuator, Piezoelectric actuator and different motors. In this paper, High voltage linear amplifier is designed and developed to drive Piezoelectric actuators which are used in positioning, pumping and anti-vibration applications. The High voltage linear amplifier is developed using PA91 high voltage power operational amplifier considering inverting op-amp configuration. The voltage gain of the High voltage linear amplifier is -22. Dual power supply is designed and developed to provide VCC (165V) and VEE (-35V) to the High voltage linear amplifier. The High voltage linear amplifier has a voltage range of is -20V to 150V which is same as that of the Piezoelectric actuator and has a current carrying capacity of 200mA. Simulation of linear voltage amplifier is carried out using Multisim software and current carrying capacity of this amplifier is calculated for different frequency and capacitive loads. The practical result of the High voltage linear amplifier is determined for different piezoelectric actuators with different range of frequencies.","PeriodicalId":413789,"journal":{"name":"2021 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124139652","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