2023 3rd International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST)最新文献_第4页

Detection of Myocardial Infarction Using Hybrid CNN-LSTM Model 用CNN-LSTM混合模型检测心肌梗死

2023 3rd International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST) Pub Date : 2023-01-07 DOI: 10.1109/ICREST57604.2023.10070055

Muhtasim Firoz, Rethwan Faiz, Nuzat Naury Alam, M. H. Imam

引用次数: 0

Surface Damage Detection of Line Insulators Using Deep Learning Algorithms to Avoid Insulation Failure 基于深度学习算法的线路绝缘子表面损伤检测避免绝缘失效

2023 3rd International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST) Pub Date : 2023-01-07 DOI: 10.1109/ICREST57604.2023.10070065

K. M. Rayhan, Shuvo Dip Roy, Md. Fahimul Haque Sadid, Kazi Firoz Ahmed, A. Shatil

{"title":"Surface Damage Detection of Line Insulators Using Deep Learning Algorithms to Avoid Insulation Failure","authors":"K. M. Rayhan, Shuvo Dip Roy, Md. Fahimul Haque Sadid, Kazi Firoz Ahmed, A. Shatil","doi":"10.1109/ICREST57604.2023.10070065","DOIUrl":"https://doi.org/10.1109/ICREST57604.2023.10070065","url":null,"abstract":"The power system's reliability dramatically depends on the high voltage line insulators. However, the surface of these insulators is frequently damaged because of the outdoor environment, which includes complicated landforms and unpredictable weather. Damage to the insulator's surface can lead to short circuits, permanent damage to the transmission line, and even blackouts. To deliver quality service, it is essential to keep track of the condition of these insulators. As traditional fault-detection systems have become more time- and labor-intensive, a YOLOv4-based detection approach is proposed here to achieve fast and precise damage detection and classification of line insulators. YOLOv4 is a Deep Learning (DL) algorithm model that operates on the darknet framework. The research findings show that 97.711% is the maximum average, depending on detecting YOLOv4 for insulators. Insulator damage has a maximum AP value of 98.17%, and discolored Insulator has a maximum AP value of 97.07%. When the system is trained on the insulator data set, the overall m-AP (mean Average Precision) value is 97.65%. The detecting speed in virtual environments for YOLOv4s is 43 FPS, and it has a greater detection rate.","PeriodicalId":389360,"journal":{"name":"2023 3rd International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128957524","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 DEVELOPMENT OF ROBO MEDICAL ASSISTANT 机器人医疗助手的设计与开发

2023 3rd International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST) Pub Date : 2023-01-07 DOI: 10.1109/ICREST57604.2023.10070041

M. Hasan, Saikat Ray, Sujana Sarkar, Most. Labonna Akter, M. A. Shawon

{"title":"DESIGN AND DEVELOPMENT OF ROBO MEDICAL ASSISTANT","authors":"M. Hasan, Saikat Ray, Sujana Sarkar, Most. Labonna Akter, M. A. Shawon","doi":"10.1109/ICREST57604.2023.10070041","DOIUrl":"https://doi.org/10.1109/ICREST57604.2023.10070041","url":null,"abstract":"The history of the medical robot is not very far from the first experiment in the 1980s. Nowadays robot in the medical sector plays a vital role in monitoring patient's health condition from distance. This paper aimed at developing an auxiliary medical solution that could provide a wide range of non-invasive diagnoses carried out by an automated robot whose motion can also be controlled manually using either a mobile application or voice command. The authors also incorporate modern features of video conferences and automated patient data management systems using the Internet of Things (IoT) which eventually facilitate medical practitioners in proper investigation from distance. The results of the clinical trial among 6 persons indicated that the robot could measure different health parameters properly using the proposed non-invasive method. The non-invasive results are verified by standard testing equipment and conventional clinical investigation and are also presented in this paper. The developed medical robot having a wide range of functionality could play a significant role in reducing human workload and ensuring timely medical assistance during a challenging crisis pandemic period like COVID-19.","PeriodicalId":389360,"journal":{"name":"2023 3rd International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121361936","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

Different Converter Integration and Performance Assessment of a Multi-Stage Transformer Less Grid Tie Inverter Using Thin Film PV Array 基于薄膜光伏阵列的多级无变压器并网逆变器的不同变换器集成及性能评估

2023 3rd International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST) Pub Date : 2023-01-07 DOI: 10.1109/ICREST57604.2023.10070062

Md. Iftadul Islam Sakib, Mohammad Rejwan Uddin, Khan Farhan Ibne Faruque, Abdullah Al Mamun, K. M. Salim

{"title":"Different Converter Integration and Performance Assessment of a Multi-Stage Transformer Less Grid Tie Inverter Using Thin Film PV Array","authors":"Md. Iftadul Islam Sakib, Mohammad Rejwan Uddin, Khan Farhan Ibne Faruque, Abdullah Al Mamun, K. M. Salim","doi":"10.1109/ICREST57604.2023.10070062","DOIUrl":"https://doi.org/10.1109/ICREST57604.2023.10070062","url":null,"abstract":"This article introduces a grid-tied, single-phase, high-frequency-link photovoltaic inverter (GTI). The signal for the sinusoidal pulse width modulation (SPWM) control of a typical GTI must be produced by a highly advanced digital signal processor. In this paper, various boost converter's duties include and analyze to boost the dc voltage and preserving the maximum power point tracking (MPPT) algorithm. The main functions of the inverter are to synchronize the grid and to invert the increased dc voltage at a high switching frequency. The inverter power density is increased by both circuits' high frequency (HF) operation. No bulky interstage transformer is needed for the proposed inverter. As a result, the size and dependability of the system are increased while the magnetizing and copper losses are decreased. Through calculations and prototype trials with a photovoltaic (PV) array, various operational scenarios were examined to confirm the proposed system's performance.","PeriodicalId":389360,"journal":{"name":"2023 3rd International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131181064","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

ConvoWaste: An Automatic Waste Segregation Machine Using Deep Learning ConvoWaste:一个使用深度学习的自动废物分类机器

2023 3rd International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST) Pub Date : 2023-01-07 DOI: 10.1109/ICREST57604.2023.10070078

Md. Shahariar Nafiz, S. Das, Md. Kishor Morol, Abdullah Al Juabir, Dipannyta Nandi

{"title":"ConvoWaste: An Automatic Waste Segregation Machine Using Deep Learning","authors":"Md. Shahariar Nafiz, S. Das, Md. Kishor Morol, Abdullah Al Juabir, Dipannyta Nandi","doi":"10.1109/ICREST57604.2023.10070078","DOIUrl":"https://doi.org/10.1109/ICREST57604.2023.10070078","url":null,"abstract":"Nowadays, proper urban waste management is one the biggest concerns for maintaining a green and clean environment. An automatic waste segregation system can be a viable solution to improve the sustainability of the country and to boost up the circular economy. This paper proposes a machine to segregate the waste into the different parts with the help of smart object detection algorithm using ConvoWaste in the field of Deep Convolutional Neural Network (DCNN), and image processing technique. In this paper, the deep learning and image processing techniques are applied to classify the waste precisely and the detected waste is placed inside the corresponding bins with the help of a servo motor-based system. This machine has the provision to notify the responsible authority regarding the waste level of the bins and the time to trash out the bins filled with garbage by using the ultrasonic sensors placed in each bin and the dual-band GSM-based communication technology. The entire system is controlled remotely through an android app in order to dump the separated waste in a desired place by its automation properties. The use of this system can aid the process of recycling resources that were initially destined to become waste, utilizing natural resources and turning these resources back into the usable products. Thus, the system helps to fulfill the criteria of circular economy through the resource optimization and extraction. Finally, the system is made to provide the services at a low cost with higher accuracy level in terms of the technological advancement in the field of Artificial Intelligence (AI). We have got 98% accuracy for our ConvoWaste deep learning model.","PeriodicalId":389360,"journal":{"name":"2023 3rd International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132705959","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: 5

Design and Implementation of IoT-Based Load Monitoring and Outage Management System 基于物联网的负荷监测与停电管理系统的设计与实现

2023 3rd International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST) Pub Date : 2023-01-07 DOI: 10.1109/ICREST57604.2023.10070034

Ahmed Muntasir Anwar, Md. Rifat Hazari, M. Mannan

{"title":"Design and Implementation of IoT-Based Load Monitoring and Outage Management System","authors":"Ahmed Muntasir Anwar, Md. Rifat Hazari, M. Mannan","doi":"10.1109/ICREST57604.2023.10070034","DOIUrl":"https://doi.org/10.1109/ICREST57604.2023.10070034","url":null,"abstract":"An essential instrument for the operation of a power system is to monitor and analyze the data to find the fault and rectify it before the System collapses completely. This paper intents to utilize the idea to create a control system that will fulfill three objectives, monitoring of vital parameters controlling the power distribution, outage management by fault detection based on the variation of voltage, frequency, and current & protection of the circuit against any significant incidents by isolating the load from utility and flagging the information through feedback to the utility authority. The method used in this project can provide necessary safety from total system outages by adequately monitoring the instant data and historic data, managing the outage system by detecting faults, and cutting loads required to avoid a widespread blackout of a power system. Implementation of the proposed project can solve the problem of system blackout due to overload, under/over voltage, or under/over frequency. This developed system can supply necessary timestamped monitored data that can be accessed remotely and can also archive to create a proper load profile to ultimately help the modeling of Load Forecasting for a smooth and economic grid operation and can be used for developing the Smart Grid network.","PeriodicalId":389360,"journal":{"name":"2023 3rd International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123625903","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

IoT Based Air Quality and Noise Pollution Monitoring System 基于物联网的空气质量和噪声污染监测系统

2023 3rd International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST) Pub Date : 2023-01-07 DOI: 10.1109/ICREST57604.2023.10070039

Amit Datta, Md Monjurul Islam, Md. Sabbir Hassan, Kuasha Bosu Aka, Istiaque Ahamed, Abir Ahmed

引用次数: 1

Solar Based Smart Water Pump Control with Turbidity and pH Measuring System 太阳能智能水泵控制与浊度和pH测量系统

2023 3rd International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST) Pub Date : 2023-01-07 DOI: 10.1109/ICREST57604.2023.10070048

Shobhasish Halder Shovo, Sudipta Karmarker

{"title":"Solar Based Smart Water Pump Control with Turbidity and pH Measuring System","authors":"Shobhasish Halder Shovo, Sudipta Karmarker","doi":"10.1109/ICREST57604.2023.10070048","DOIUrl":"https://doi.org/10.1109/ICREST57604.2023.10070048","url":null,"abstract":"The drinking water crisis is one of the prime issues in all over the world. Almost half of the populations of the world isolated from this blessing. Insufficiency of electricity plays a great role in their situations, as without electricity we cannot run a pump. Renewable energy is one of the suitable answers to solve the problem. The most effective resources of renewable energy are solar energy, which could solve this crisis. This research presents a performance analysis of the solar-based water pump controlling system and water quality measuring system using arduino mega. The main objective of this research is to automatically control the water pump and single-axis tracking for solar. Besides, the pH and turbidity of the reserve tank water show into the liquid crystal display (LCD) by using arduino's command. If the turbidity sensor senses the water is polluted then the automatically send the tank's water to the filter for purifying and if the pH level of the water is high or low, the device automatically stops sending the water to the supply. In both cases turbidity low, pH high, and low), the GSM module sends a warning notification to the selected cellular device by using the arduino's command. This work is divided into two parts hardware and software systems. In the hardware part, four light dependent resistors (LDR) are used to sense the maximum light side from the sun. One linear actuator used to move the solar panel to the maximum light source location perceived by the LDRs. In the software part, the code is written by using C programming language and has targeted to the arduino mega controller. In this idea, arduino mega controls the whole thing. An automatic water pump can reduce the loss of pure water.","PeriodicalId":389360,"journal":{"name":"2023 3rd International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125839487","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

Feasibility Analysis of Off-Grid Hybrid Renewable Energy for Rohingya Refugee in Bhasan Char 离网混合可再生能源在巴桑查尔罗兴亚难民中的可行性分析

2023 3rd International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST) Pub Date : 2023-01-07 DOI: 10.1109/ICREST57604.2023.10070066

Nurjahan Amin Nuha, Md. Tanbir Siddik Injam, N. Chowdhury

{"title":"Feasibility Analysis of Off-Grid Hybrid Renewable Energy for Rohingya Refugee in Bhasan Char","authors":"Nurjahan Amin Nuha, Md. Tanbir Siddik Injam, N. Chowdhury","doi":"10.1109/ICREST57604.2023.10070066","DOIUrl":"https://doi.org/10.1109/ICREST57604.2023.10070066","url":null,"abstract":"In recent years, power generation based on renewable resources has grown increasingly significant as well as ecologically beneficial. This paper analyzed the viability of a hybrid renewable energy system on the isolated Bangladeshi island of Bhasan Char, which has been selected for the resettling of Rohingyas. The hybrid systems were composed of solar energy, wind energy, biomass, storage, and converter. HOMER software is used to simulate and analyze the proposed system in terms of Net Present Cost, Cost of Energy, annual electricity generation, etc. Among four major combinations of different renewable sources, PV-Biomass-Converter-Battery (PBCB) appeared to be the most reliable system in terms of Net Present Cost, Cost of Energy, and other factors. The proposed PV-Wind-Biomass-Converter-Battery (PWBCB) model generates 21.3% annually, with 51% of total production coming from biogas. It is possible to increase solar production by using a rooftop system. The proposed model can meet the demand of 145 kWh/day with a peak load of 17 kW, indicating the feasibility of power supply in the isolated region.","PeriodicalId":389360,"journal":{"name":"2023 3rd International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114209473","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

Toward a Transfer Learning Approach to Detect Face Mask Type in Real-time 一种实时检测面罩类型的迁移学习方法

2023 3rd International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST) Pub Date : 2023-01-07 DOI: 10.1109/ICREST57604.2023.10070040

Takia Ibnath, Ashim Dey

引用次数: 0