2023 International Conference on Control, Communication and Computing (ICCC)最新文献

Frequency Stabilization in a Microgrid Cluster Using Plug-in Electric Vehicle with Power-Frequency Droop Control Strategy 基于工频下垂控制策略的插电式电动汽车微电网集群稳频

2023 International Conference on Control, Communication and Computing (ICCC) Pub Date : 2023-05-19 DOI: 10.1109/ICCC57789.2023.10165232

Cibumol B Babu, S. S

{"title":"Frequency Stabilization in a Microgrid Cluster Using Plug-in Electric Vehicle with Power-Frequency Droop Control Strategy","authors":"Cibumol B Babu, S. S","doi":"10.1109/ICCC57789.2023.10165232","DOIUrl":"https://doi.org/10.1109/ICCC57789.2023.10165232","url":null,"abstract":"A microgrid brings together a number of distributed energy resources, energy users and energy storing devices to supply reliable power to the end-users. It can better associate to connect to rural areas where it is not feasible and economic for a transmission system to supply power. The microgrids can be connected to form a microgrid cluster for better reliability of power when the microgrid units increase in number. The frequency of the system gets affected when the share of distributed resources increases and a plug-in electric vehicles (PEV) can be used to regulate the frequency as it can work as a generator or load. The ancillary service of a PEV in the frequency stabilization has a better response characteristics as the charging and discharging of a PEV is not a mechanical process.The accommodation of a PEV in load frequency control is possible because of the application of it in the vehicle to grid mode. The control signals are carried through communication network provided for the purpose. In a load frequency control loop with PEV, this causes time delay and hence data missing may happen. The load frequency control is greatly affected by the presence of time delay.","PeriodicalId":192909,"journal":{"name":"2023 International Conference on Control, Communication and Computing (ICCC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115359092","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

EBICS: Even Blind I Can See, A Computer Vision Based Guidance System For Visually Impaired ebic:盲人我也能看见，一个基于计算机视觉的视觉障碍引导系统

2023 International Conference on Control, Communication and Computing (ICCC) Pub Date : 2023-05-19 DOI: 10.1109/ICCC57789.2023.10165192

Visakh Bobby, S. Praneel, G. S, Athuljith A S, Reeja S L

{"title":"EBICS: Even Blind I Can See, A Computer Vision Based Guidance System For Visually Impaired","authors":"Visakh Bobby, S. Praneel, G. S, Athuljith A S, Reeja S L","doi":"10.1109/ICCC57789.2023.10165192","DOIUrl":"https://doi.org/10.1109/ICCC57789.2023.10165192","url":null,"abstract":"Humans have five senses that help them to interact with the environment. Even losing one makes this interaction difficult. There are more than 63 million visually impaired people in India. Visually impaired people can range from being partially impaired to completely blind. These individuals face numerous difficulties in performing daily life tasks. Fortunately, assistive technologies have developed in the last few decades. This technology aims to enable people to live a healthy and independent life with equal opportunities in society. This paper describes the visual assistive system that ensures people live their lives to the fullest. This system helps people interact with the immediate environment in which they are living while taking care of them and keeping them safe from the dangerous elements in the surrounding. The proposed system uses a Raspberry Pi camera and Raspberry Pi 4 embedded system to interact with the environment and the user. We propose to aid the visually impaired community by employing a system that allows us to identify different objects and their inter-spacing distance between the object and the individual whilst simultaneously providing audio feedback. This is achieved by capturing the real-time frames and processing these images. The proposed system boasts an accuracy of 93.7%, thus outperforming similar products while being cheaper and using fewer resources simultaneously. Unlike other devices in the market. This result was achieved with no additional sensors helping reduce the cost of the proposed system significantly and making it affordable for the general public. It also reduces the point of failure as there is no additional hardware sensors other than a camera being used.","PeriodicalId":192909,"journal":{"name":"2023 International Conference on Control, Communication and Computing (ICCC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115367099","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

Bidirectional Voltage Level Shifter with Configurable Voltage Range 具有可配置电压范围的双向电压电平移位器

2023 International Conference on Control, Communication and Computing (ICCC) Pub Date : 2023-05-19 DOI: 10.1109/ICCC57789.2023.10165250

Dominic George Joseph, Biju K. S.

引用次数: 0

Trajectory Tracking Control of a Truck Trailer Robot Using Feedback Linearization 基于反馈线性化的卡车拖车机器人轨迹跟踪控制

2023 International Conference on Control, Communication and Computing (ICCC) Pub Date : 2023-05-19 DOI: 10.1109/ICCC57789.2023.10165610

Anagha R Nath, V. R. Jisha

引用次数: 0

Estimation of continuous blood pressure from pressure pulse wave morphology 从压脉波形态估计连续血压

2023 International Conference on Control, Communication and Computing (ICCC) Pub Date : 2023-05-19 DOI: 10.1109/ICCC57789.2023.10165042

Agnes Jinu, Biju K. S.

{"title":"Estimation of continuous blood pressure from pressure pulse wave morphology","authors":"Agnes Jinu, Biju K. S.","doi":"10.1109/ICCC57789.2023.10165042","DOIUrl":"https://doi.org/10.1109/ICCC57789.2023.10165042","url":null,"abstract":"Hypertension is the significant cause of death and many disabilities. Blood pressure is an index for knowing the cardiovascular status. More accurate continuous blood pressure can be obtained by arterial cannulation technique. Drawback with this method is that it causes potential risk to patient due to its invasive nature. Currently existing cuff based and oscillometric methods provide only short time data and it cannot be used for continuous monitoring. The purpose of this study is to estimate the continuous blood pressure using the pressure pulse wave morphology. Radial artery pressure pulse wave is used for the estimation. Initial blood pressure obtained with the help of regression model is added with the pressure difference between the systolic and diastolic feature points to evaluate the continuous blood pressure. About eleven informative features were extracted from pressure pulse wave and two regression models were constructed for comparing the performance. From mean absolute error calculated for the two models, multivariable linear regression model showed better accuracy than deep learning regression model. Initial blood pressure measured by multi-variable linear regression model is added with pressure difference to estimation continuous systolic and diastolic blood pressure. The results showed the reliability of pressure pulse wave morphology for non invasive blood pressure estimation.","PeriodicalId":192909,"journal":{"name":"2023 International Conference on Control, Communication and Computing (ICCC)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126608272","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

Detection and Prediction of Terrorist Activities and Threatening Events in Twitter - A Survey Twitter中恐怖活动和威胁事件的检测和预测——一项调查

2023 International Conference on Control, Communication and Computing (ICCC) Pub Date : 2023-05-19 DOI: 10.1109/ICCC57789.2023.10165097

Mary Lisa Leenuse, Dhanya S. Pankaj, Rahul Raj M

引用次数: 0

Review on Video Super Resolution: Methods and Metrics 视频超分辨率:方法和指标综述

2023 International Conference on Control, Communication and Computing (ICCC) Pub Date : 2023-05-19 DOI: 10.1109/ICCC57789.2023.10164823

R. Shiva Reshma, Joshua Thomas

引用次数: 0

Review on Neural Network based Detection System for Intoxicated Driving 基于神经网络的醉酒驾驶检测系统研究进展

2023 International Conference on Control, Communication and Computing (ICCC) Pub Date : 2023-05-19 DOI: 10.1109/ICCC57789.2023.10165379

Anupama Hari, Joshua Thomas

引用次数: 0

Machine Learning Approach for Mixed type Wafer Defect Pattern Recognition by ResNet Architecture 基于ResNet架构的混合型晶圆缺陷模式识别的机器学习方法

2023 International Conference on Control, Communication and Computing (ICCC) Pub Date : 2023-05-19 DOI: 10.1109/ICCC57789.2023.10165078

Remya K.P., S. V

{"title":"Machine Learning Approach for Mixed type Wafer Defect Pattern Recognition by ResNet Architecture","authors":"Remya K.P., S. V","doi":"10.1109/ICCC57789.2023.10165078","DOIUrl":"https://doi.org/10.1109/ICCC57789.2023.10165078","url":null,"abstract":"Semiconductor manufacturing process involves various steps: fabrication of Wafers, testing of wafers, assembly of each single die and package level final test. Out of which, testing of wafer for defect detection and classification is the most important step where defective dies are eliminated. This improves the efficiency of the overall manufacturing process. Semiconductor wafer defects can be basic defects or mixed defects containing two or more basic defects. Since these defects varied from wafer to wafer and are complex, the accuracy obtained from traditional deep learning model is poor. To address this problem, a semiconductor mixed defect pattern recognition based on Residual Network (ResNet) Architecture is attempted. Among the ResNet architectures, ResNet50 is selected for wafer defect pattern recognition which has a 50 layer structure. The model is evaluated based on data set with 15 mixed defect patterns which were generated from WM-811K wafer map data set. Training, testing and validation of the data set is done. The performance parameters are generated and compared the performance with four different architectures including Convolutional Neural Network(CNN). The training results indicate that the ResNet50 shows a better performance in terms of accuracy, precision, recall and F1 score.","PeriodicalId":192909,"journal":{"name":"2023 International Conference on Control, Communication and Computing (ICCC)","volume":"304 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113998707","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

3D Brain MRI Segmentation using Deep Neural Network 基于深度神经网络的三维脑MRI分割

2023 International Conference on Control, Communication and Computing (ICCC) Pub Date : 2023-05-19 DOI: 10.1109/ICCC57789.2023.10165167

Ambily N, S. K

引用次数: 0