2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS)最新文献_第4页

RDRA Sensor for Primal Detection of Breast Cancer Cells in Women RDRA传感器用于女性乳腺癌细胞的初步检测

2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS) Pub Date : 2022-11-01 DOI: 10.1109/SSTEPS57475.2022.00084

Parikshit Vasisht, Taruna Parashar, Jaimini Shah, Sudhakar Ranjan

{"title":"RDRA Sensor for Primal Detection of Breast Cancer Cells in Women","authors":"Parikshit Vasisht, Taruna Parashar, Jaimini Shah, Sudhakar Ranjan","doi":"10.1109/SSTEPS57475.2022.00084","DOIUrl":"https://doi.org/10.1109/SSTEPS57475.2022.00084","url":null,"abstract":"Currently, wide band radio frequency sensor based technology is gaining momentum for primitive stage breast cancer detection. The most promising instrument to replace or supplement the present X-ray mammography for cancer detection is the rectangular dielectric resonator antenna (RDRA) sensor. In this research work, a RDRA is proposed as key sensor part which leads to design of smart data acquisition system for breast cancer. Presented design resonates in Lower European frequency band providing impedance bandwidth of 48% for frequency range of 2.9-4.7 GHz. Consequently, the peak gain of 4dB was obtained through proposed RDRA antenna. High radiation efficiency, compact size of the antenna makes it perfectly suitable to be employed as a sensor for early cancer detection. Compare to conventional antenna this RDRA sensor provide better feature with cancer tissue detection with accuracy and improve image resolution. Proposed antenna can be integrated with wide band wireless communication for Wi-Fi and LTE communication, Wireless Body Area Networks (WBAN) and Wireless Sensor Networks (WSNs) applications.","PeriodicalId":289933,"journal":{"name":"2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123464272","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 Comparative Evaluation of Various Solar Trackers to Harness Maximum Energy - A Brief Review 利用最大能量的各种太阳能跟踪器的比较评价-简要回顾

2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS) Pub Date : 2022-11-01 DOI: 10.1109/SSTEPS57475.2022.00026

S. Venkateshwarlu, V. S. Pranav, Ch. Sai Anirudh, K. Reddy

引用次数: 0

A System which procures Attendance by using Face Recognition and Raspberry pi 基于人脸识别和树莓派的考勤系统

2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS) Pub Date : 2022-11-01 DOI: 10.1109/SSTEPS57475.2022.00041

Lachi Reddy Poreddy, Harish Gannavarapu, Sai Bhaskara Pavan Kumar Valavala, Saran Babu Seeram, Sai Teja Indla

{"title":"A System which procures Attendance by using Face Recognition and Raspberry pi","authors":"Lachi Reddy Poreddy, Harish Gannavarapu, Sai Bhaskara Pavan Kumar Valavala, Saran Babu Seeram, Sai Teja Indla","doi":"10.1109/SSTEPS57475.2022.00041","DOIUrl":"https://doi.org/10.1109/SSTEPS57475.2022.00041","url":null,"abstract":"It’s been a challenging task for a professor to mark attendance by using some conventional method which might have human errors. Any how we had some existing techniques to record attendance like fingerprint, RFID, and barcode. In these techniques, a big block of system needs to be setup at one way traffic which can record inflows and takes attendance. To avoid manual based attendance in our project we are using face recognition technique. This proposed system consists of 6 phases creating an application, image capturing, Segmentation of image, face detection, face recognition and comparison, updating of Attendance in database. Initially the images of the students are stored in a data base in the form of haars cascade algorithm, when we enable our raspberry pi using application it captures live class and images will be segmented, it would compare the haars cascade algorithm that was initially stored in the database. Based on this attendance will be generated in spread sheet, generated data would be mailed to the respected faculty. The main agenda of our proposed system was to take attendance with ease.","PeriodicalId":289933,"journal":{"name":"2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129889273","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

Survey on Cyber Crime Problems and Prevention 网络犯罪问题及预防调查

2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS) Pub Date : 2022-11-01 DOI: 10.1109/SSTEPS57475.2022.00039

C. Balarengadurai, Divya C D, Harshitha C

{"title":"Survey on Cyber Crime Problems and Prevention","authors":"C. Balarengadurai, Divya C D, Harshitha C","doi":"10.1109/SSTEPS57475.2022.00039","DOIUrl":"https://doi.org/10.1109/SSTEPS57475.2022.00039","url":null,"abstract":"Attackers’ main objective is to commit the most modern and evolving forms of crime. As new researchers concentrate their studies primarily on cyber security, the field of online crime prevention systems has been evolving. The topic of cybercrime is one that is getting more and more attention every day. It is challenging to take on. Online crime prevention solutions based on digital forensics provide the public with a mechanism to lodge complaints and get services more quickly and simply while storing criminal information in a single database. The customer or person can submit the FIR online by entering information about the case type, incident specifics, and other crucial factors. Even with older records, all complaint information can be viewed and added. Anomaly detection systems, honeypots, tripwires, configuration checking tools, and working system instructions are some of the techniques encompassed using a variety of techniques like k-means, k- nearest neighbors, ML, NPL, and Deep Learning with neural networks these algorithms useful in crime detection and prevention purpose using a variety of clustering algorithms, naive Bayes, and linear algorithm helps by systematic approach to identifying and evaluating patterns examining online criminal activity, it is possible to recognize and evaluate criminal patterns and trends.","PeriodicalId":289933,"journal":{"name":"2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130186758","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

Intelligent Bidirectional Charging Strategy based on Recurrent Neural Network (RNN) for EV 基于循环神经网络的电动汽车智能双向充电策略

2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS) Pub Date : 2022-11-01 DOI: 10.1109/SSTEPS57475.2022.00074

Susamani Francis Livinraj, Muralidhar Nayak Bhukya, D. Rani

引用次数: 0

Kinematical Analysis of Long Jumper Techniques by Using Silicon Coach Software 用硅教练软件对跳远技术进行运动学分析

2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS) Pub Date : 2022-11-01 DOI: 10.1109/ssteps57475.2022.00091

L Ajithkumar, K. P, Ram Mohan Singh R

{"title":"Kinematical Analysis of Long Jumper Techniques by Using Silicon Coach Software","authors":"L Ajithkumar, K. P, Ram Mohan Singh R","doi":"10.1109/ssteps57475.2022.00091","DOIUrl":"https://doi.org/10.1109/ssteps57475.2022.00091","url":null,"abstract":"The determination of this study was to investigate the selected kinematical parameters of 3 to 5 years of experienced long jumpers. Analysis of long jumpers' performance in relation to kinematic variables was the objective. A total of 15 jumpers participated in this study. To capture kinematical data by using a good-resolution camera to capture the jumper's performance (GoPro Hero7 Black Action Camera with Touch Screen 4K Ultra HD Video 60 fps). The chosen kinematical parameters were Last stride length distance (LSL), Ground Contact Time (GCT), Knee angle (at the time of take-off) and standing broad jump (SBJ), and long jump performance for capturing the movement of the jumpers, the camera was placed perpendicular at a distance of 15mts right side of the runway and take-off board, the height of the camera was set at 5ft from the ground. All jumps are performed by the selected jumpers. The recorded video was analyzed using Silicon Coach Motion Analyzer Software. After that, the acquired data were calculated by using computer-based SPSS software, and the level of significance was set at 0.05. The findings of the study indicate that the standing broad jump, knee angle and ground contact time have markable differences in the long jump performance, other than the last stride length distance.","PeriodicalId":289933,"journal":{"name":"2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125671447","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

Speed Regulation of Closed Loop Brush less DC (BLDC) Motor Using Novel Multi-Layer Perceptron Approach 基于多层感知器的闭环无刷直流电机调速

2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS) Pub Date : 2022-11-01 DOI: 10.1109/SSTEPS57475.2022.00017

Busipaka Yeasaswi Vivek, Sathans Suhag, D. Rani, Muralidhar Nayak Bhukya

{"title":"Speed Regulation of Closed Loop Brush less DC (BLDC) Motor Using Novel Multi-Layer Perceptron Approach","authors":"Busipaka Yeasaswi Vivek, Sathans Suhag, D. Rani, Muralidhar Nayak Bhukya","doi":"10.1109/SSTEPS57475.2022.00017","DOIUrl":"https://doi.org/10.1109/SSTEPS57475.2022.00017","url":null,"abstract":"Recently developed advanced applications of Brushless DC (BLDC) motor demands for variable speed operation to equate the assessed performance. In this connection, many speed controlling techniques are introduced for the fruitful operation of BLDC motor at various speed levels. The performance of the existing techniques is up to the mark for a fixed speed reference. During dynamic change in reference speed the existing techniques fail to follow the path. Therefore, there is a need to regulate the speed of the BLDC motor during dynamic conditions. Speed regulation is achieved by minimizing the residual error content. If the content of residual error increases, there will be a deviation between actual and reference speed resulting in poor speed regulation. Hence, this paper presents a novel and simple controlling technique based on Multi-Layer Perceptron (MLP) technique, which is capable of regulating the speed as per the dynamic reference path by minimizing the residual error content. MLP is from the compound of deep learning artificial neural network has two layers, one receives speed error data from the traditional PID controller, and the other layer predicts the output data. Computations are performed through Gradient Descent for arbitrary hidden layers to reduce the speed error. As the computed data approaches the target, optimal data for the speed regulation is attained.","PeriodicalId":289933,"journal":{"name":"2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129101016","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 New Fault Location Methodology in an Overhead Transmission Line 架空输电线路故障定位新方法

2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS) Pub Date : 2022-11-01 DOI: 10.1109/ssteps57475.2022.00020

M. Kumar, U. Prasad, Elemasetty uday Kiran, M. Ramesha, S. Jagadha, A. N. Kumar

引用次数: 0

PV FED 15 Level Cascaded Multilevel Inverter For Enhancement Of Power By Using ANFIS Controller 用ANFIS控制器增强PV fed15电平级联多电平逆变器功率

2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS) Pub Date : 2022-11-01 DOI: 10.1109/ssteps57475.2022.00023

Maddali Naga Veera Sai Samhith, C. L. Reddy

引用次数: 0

Fine Tuning of Closed Loop BLDC Motor using Traditional PID Control 基于传统PID控制的闭环无刷直流电动机的微调

2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS) Pub Date : 2022-11-01 DOI: 10.1109/SSTEPS57475.2022.00075

Daki Ajay Kumar, Nalin Chaudhary, S. Pathi, Thandava Krishna Sai Pandraju, Shobha Rani Depuru, Muralidhar Nayak Bhukya

引用次数: 0