2022 Second International Conference on Power, Control and Computing Technologies (ICPC2T)最新文献_第7页

Extreme Learning Machine based Spectrum Sensing in Coloured Noise with RTL-SDR 基于RTL-SDR的彩色噪声极端学习机频谱传感

2022 Second International Conference on Power, Control and Computing Technologies (ICPC2T) Pub Date : 2022-03-01 DOI: 10.1109/ICPC2T53885.2022.9776964

Saikat Majumder, M. Giri, G. Adarsh

引用次数: 1

An Optimization Based Approach for Peak Shaving and Phase Balancing of Unbalanced Radial Distribution System by Peak Load Clustering 基于峰负荷聚类的不平衡径向配电系统调峰与相位平衡优化方法

2022 Second International Conference on Power, Control and Computing Technologies (ICPC2T) Pub Date : 2022-03-01 DOI: 10.1109/ICPC2T53885.2022.9776741

N. Manna, A. K. Sil

{"title":"An Optimization Based Approach for Peak Shaving and Phase Balancing of Unbalanced Radial Distribution System by Peak Load Clustering","authors":"N. Manna, A. K. Sil","doi":"10.1109/ICPC2T53885.2022.9776741","DOIUrl":"https://doi.org/10.1109/ICPC2T53885.2022.9776741","url":null,"abstract":"Energy that we consume are mostly served from fossil fuel although it largely pollutes environment and has limited available reserve. Domestic use of electricity is considerable one among all major sectors of electricity consumption. This large amount of fossil fuel usage is being replaced by renewable energy resources (e.g. photovoltaic, wind etc.) which can be placed locally at the consumer premises. Thus penetration of renewables can gradually reduce the dominance of using energy from fossil fuel. Research is being carried out on the effect of penetration of renewable energy resources with energy storages. Aim of all these research is to check the potential of these penetrations along with achieving minimum losses and maximum benefits to the system. A similar kind of analysis has been performed here on European Low Voltage Test Feeder. This is on the basis of achievable reduction in peak demand and three phase load balancing to the utility at the secondary side of substation transformer. In this context, an approach of tracking and addressing power injection to the peak load concentration hourly by dynamic cluster formations throughout the network have been used. Optimization of multiple relevant objectives has been performed to validate the compatibility of active and reactive power injection at different hour of the day by domestic consumers into the system. Also, based on feasible power injection at consumer ends, photovoltaic energy penetration and aggregate capacity of energy storages in the whole network have been determined.","PeriodicalId":283298,"journal":{"name":"2022 Second International Conference on Power, Control and Computing Technologies (ICPC2T)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128109699","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

Multipulse Converter Fed New 7-Level Cascaded Multilevel Inverter Based Induction Motor Drive 基于多脉冲变换器的新型7电平级联多电平逆变器感应电机驱动

2022 Second International Conference on Power, Control and Computing Technologies (ICPC2T) Pub Date : 2022-03-01 DOI: 10.1109/ICPC2T53885.2022.9777028

Piyush Kant, Bhim Singh

{"title":"Multipulse Converter Fed New 7-Level Cascaded Multilevel Inverter Based Induction Motor Drive","authors":"Piyush Kant, Bhim Singh","doi":"10.1109/ICPC2T53885.2022.9777028","DOIUrl":"https://doi.org/10.1109/ICPC2T53885.2022.9777028","url":null,"abstract":"This paper presents a new configuration of medium voltage drive (MVD), in which a 60-pulse AC-DC converter is adopted on grid side and a unique cascaded 7-level inverter on the drive end. This 60-pulse converter utilizes a new multi-phase transformer, which converts 3-φinput into 5-φ output AC-supply. The cascaded 7-level inverter is achieved by cascading six numbers of three-phase VSI in unique manner. This type of cascading is taken because the voltage and power level of the level can be scaled as per the application demand. Moreover, this configuration of 7-level inverter needs less numbers of power semiconductor switches than conventional 7-level cascaded H-bridge (CHB) inverter. A vector control scheme is used to control an induction motor (IM) and in this vector control rotor flux reference frame is taken to avoid coupling between the d and q axes currents. A nearest level modulation technique (NLMT) is adopted to control presented 7-level inverter. Due to this NLMT, a 7-level inverter is switched at fundamental frequency switching (FFS) and offers low switching losses than conventional CHB. Performance of MVIMD is verified through both simulated and test results while operating it at different operating conditions and it shows promising performance for the presented drive during all required operating region.","PeriodicalId":283298,"journal":{"name":"2022 Second International Conference on Power, Control and Computing Technologies (ICPC2T)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116956529","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

Design of Automatic Charging System for Electric Vehicles using Rigid-Flexible Manipulator 基于刚柔机械手的电动汽车自动充电系统设计

2022 Second International Conference on Power, Control and Computing Technologies (ICPC2T) Pub Date : 2022-03-01 DOI: 10.1109/ICPC2T53885.2022.9777077

A. S., L. S.

引用次数: 1

An Efficient Early Stage Heart Disease Risk Detection Using Machine Learning Techniques 利用机器学习技术进行有效的早期心脏病风险检测

2022 Second International Conference on Power, Control and Computing Technologies (ICPC2T) Pub Date : 2022-03-01 DOI: 10.1109/ICPC2T53885.2022.9777070

Wesam Shishah

{"title":"An Efficient Early Stage Heart Disease Risk Detection Using Machine Learning Techniques","authors":"Wesam Shishah","doi":"10.1109/ICPC2T53885.2022.9777070","DOIUrl":"https://doi.org/10.1109/ICPC2T53885.2022.9777070","url":null,"abstract":"In the medical field, early prediction of disease is a big challenge. This paper focuses on predicting heart disease at an early stage. Heart disease is a fatal human disease that rapidly increases at a global level. This disease affects both developed as well as undeveloped countries which subsequently causes death. In heart disease, the heart doesn't supply the required volume of blood to other body parts. It is essential to diagnose this disease at the early stage for preventing patients from higher damage. In medical diagnostic systems, errors can cause improper medical treatments which can result in the death of the patient. Artificial Intelligence (AI) can be applied in several healthcare processes to minimize the time and resources required in examining and diagnosing patients. In AI, machine learning has upsurged as an important technique in diagnosing heart disease. This paper showcases the current state-of-the-art techniques utilized in heart disease prediction. This paper proposes an architecture for heart disease prediction by using machine learning techniques along with Principal Component Analysis (PCA) for dimensionality reduction. It utilizes a standard UCI dataset of Kaggle having a rich set of attributes. Several standard machine learning techniques are utilized in the proposed architecture. The paper showcases the comparison of different machine learning algorithms for the detection of heart disease using standard parameters such as classification accuracy, precision, recall, an area under curve (AUC), F1 measure and ROC curve. It depicts that the Naive Bayes classifier outperforms for training without feature reduction and with feature reduction. However, Adaboost outperforms in testing in the proposed architecture.","PeriodicalId":283298,"journal":{"name":"2022 Second International Conference on Power, Control and Computing Technologies (ICPC2T)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124384868","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

Transfer Learning for Sickle Cell Anemia and Trait Classification 镰状细胞性贫血的迁移学习与特征分类

2022 Second International Conference on Power, Control and Computing Technologies (ICPC2T) Pub Date : 2022-03-01 DOI: 10.1109/ICPC2T53885.2022.9776656

Samiksha Soni, Hardik N. Thakkar, B. Singh

{"title":"Transfer Learning for Sickle Cell Anemia and Trait Classification","authors":"Samiksha Soni, Hardik N. Thakkar, B. Singh","doi":"10.1109/ICPC2T53885.2022.9776656","DOIUrl":"https://doi.org/10.1109/ICPC2T53885.2022.9776656","url":null,"abstract":"Sickle cell disease is one of the most prevalent inherited blood disorders. The majority of the population suffering from this disorder are the active carrier of the disease (sickle cell trait) and are unaware of their health status. To have effective prevention of the spread of disease proper demarcation between disease and trait is required. The existing pathological methods for disease diagnosis are costly and time-consuming while most of the machine learning-based method focuses on normal versus abnormal cell classification. In this study transfer learning of pre-trained AlexNet model is proposed for classification of disease versus trait cases, a very first approach towards the sickle cell diseases subtype classification with the aid of machine learning and image processing tools. Also, the performance of the model is evaluated under various data division protocols, hold-out, 5-fold, 10-fold respectively. The study is conducted on a newly prepared database of 67 traits and 23 disease cases. The proposed system shows the highest classification accuracy of 95.5% with 10-fold data division protocol. Other performance parameters used for evaluation are precision, sensitivity, specificity, neg predicted value and ROC curve. In addition, the study examines a practical feature of the system by assessing it with fewer training samples. Also, the findings of the study suggest that transfer learning appears to be a helpful strategy when the availability of a medical dataset is restricted.","PeriodicalId":283298,"journal":{"name":"2022 Second International Conference on Power, Control and Computing Technologies (ICPC2T)","volume":"169 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121620955","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

Flood Surveillance Using Deep Learning 利用深度学习进行洪水监测

2022 Second International Conference on Power, Control and Computing Technologies (ICPC2T) Pub Date : 2022-03-01 DOI: 10.1109/ICPC2T53885.2022.9776849

Nikita Chopde, M. Ekbote, Sampada Deshpande, Vijaya Kamble

引用次数: 0

Finite Element Analysis for Fault Diagnosis in Broken Rotor Bar of a Polyphase Induction Motor 多相感应电动机转子断条故障诊断的有限元分析

2022 Second International Conference on Power, Control and Computing Technologies (ICPC2T) Pub Date : 2022-03-01 DOI: 10.1109/ICPC2T53885.2022.9776887

Kapu V Sri Ram Prasad, Varsha Singh

{"title":"Finite Element Analysis for Fault Diagnosis in Broken Rotor Bar of a Polyphase Induction Motor","authors":"Kapu V Sri Ram Prasad, Varsha Singh","doi":"10.1109/ICPC2T53885.2022.9776887","DOIUrl":"https://doi.org/10.1109/ICPC2T53885.2022.9776887","url":null,"abstract":"The polyphase induction motor (PIM) is widely used for domestic/industrial purposes, well known for its robust construction and performance. Due to continuous operation, wear, and tear these machines suffer from different faults. Early fault detection of these machines is important to avoid a breakdown that can increase the production of the entire sector. Nearly 10% of faults are related to broken rotor bars (BRB) of PIM. This paper proposes the flux distribution of healthy, one, and two BRB. The Finite Element Method (FEM) is used to design the stator (24 slots) and rotor bars (20), which are meshed in ALTAIR Flux software to predict the unbalanced forces due to the BRB. The machine is designed by building the geometry which is meshed with 54,177 nodes, 6032-line elements, and 27,054 surface elements. From the analysis, the torque and current of one and two BRB are progressively decreased with the increase in resistance. The inter bar current of BRB flows in the adjacent rotor bars increasing the current in healthy bars. These currents flow in the healthy bar for a long duration can deteriorate the healthy bar. The FEM provides an efficient method for the detection of flux orientation. The simulation results with high currents related to one and two BRB might enhance the fault isolation of adjacent rotor bars. A test machine is considered and MCSA is executed on PIM. The experimental results identify the BRB.","PeriodicalId":283298,"journal":{"name":"2022 Second International Conference on Power, Control and Computing Technologies (ICPC2T)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123207779","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

Harmonic Reduction and Reactive Power Improvement using Shunt Active Power Filter And Thyristor-Controlled Reactor 用并联有源滤波器和晶闸管控制电抗器降低谐波和改善无功功率

2022 Second International Conference on Power, Control and Computing Technologies (ICPC2T) Pub Date : 2022-03-01 DOI: 10.1109/ICPC2T53885.2022.9777083

Vikram Singh, Shubhrata Gupta, Anamika Yadav, Jangili Rajashekar

{"title":"Harmonic Reduction and Reactive Power Improvement using Shunt Active Power Filter And Thyristor-Controlled Reactor","authors":"Vikram Singh, Shubhrata Gupta, Anamika Yadav, Jangili Rajashekar","doi":"10.1109/ICPC2T53885.2022.9777083","DOIUrl":"https://doi.org/10.1109/ICPC2T53885.2022.9777083","url":null,"abstract":"An integrated method for harmonic reduction and reactive power correction is proposed based on an integrated thyristor-controlled reactor (TCR) and a shunt active power filter (SAPF). In order to control the TCR, a PI controller with a triggering alpha derived from linear firing was used. To regulate voltage and monitor current, a nonlinear APF control was developed. This paper focuses on a decoupled method of controlling, where the controlled system is divided into two loops, one fast and one slow. A linearization control was applied to the inner loop, while a nonlinear feedback control law was applied to the outer loop. Integrated compensators were introduced to both the current and voltage loops in order to eliminate steady-state errors caused by oscillation of system parameters. The total harmonic distortion of the source current is below the permissible limits imposed by several regulatory authorities, and the power factor of the supply is very close to unity. Simulated and experimental results indicate considerable reductions in harmonic distortions and compensation for reactive power.","PeriodicalId":283298,"journal":{"name":"2022 Second International Conference on Power, Control and Computing Technologies (ICPC2T)","volume":"140 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122854335","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

Factors Influencing Adoption of Disruptive Technologies in Healthcare in India: A Review 影响印度医疗保健采用颠覆性技术的因素:综述

2022 Second International Conference on Power, Control and Computing Technologies (ICPC2T) Pub Date : 2022-03-01 DOI: 10.1109/ICPC2T53885.2022.9776945

Sushim Shrivastava, Shalini Chandra, Muniza Askari

{"title":"Factors Influencing Adoption of Disruptive Technologies in Healthcare in India: A Review","authors":"Sushim Shrivastava, Shalini Chandra, Muniza Askari","doi":"10.1109/ICPC2T53885.2022.9776945","DOIUrl":"https://doi.org/10.1109/ICPC2T53885.2022.9776945","url":null,"abstract":"In India, there is a severe shortage of trained healthcare professionals. Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Internet of Things (IoT), Cloud Computing, and 5G (together referred to as disruptive technologies) offer much potential for the Global Healthcare scenario. These disruptive technologies can improve doctors' efficiency and help alleviate the shortage of doctors. While these technologies brought many benefits to developed nations, their deployment in developing countries, especially India, may have challenges. Challenges go multiple folds because these technologies are still evolving and a significant segment of deployment of disruptive technologies is in early stages even in developed nations. This paper reviews the relevant literature and tries to explain the relevance of disruptive technologies for India. It assumes that learnings from developed and developing nations can be applied to India with some modifications. Through surveying existing literature, this paper looks at what Indian Healthcare is and presents factors affecting the deployment of disruptive technologies in Indian Healthcare.","PeriodicalId":283298,"journal":{"name":"2022 Second International Conference on Power, Control and Computing Technologies (ICPC2T)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123299300","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