Pub Date : 2022-02-24DOI: 10.1109/icaeee54957.2022.9836425
Bristy Chanda, H. Nyeem
Automatic Hand Gesture Recognition is a key requirement for variety of applications, including translation of Sign Language, Human-Computer Interaction (HCI) and, ubiquitous vision-based systems. Due to the lighting variance and complicated background in the input image set of gestures, meeting this criterion remains a challenge. This paper introduces semantic segmentation to deep learning-based hand gesture recognition system for sign language translation. Building on the U - Net architecture, the proposed model obtains the semantically segmented mask of the input image, which is then fed to convolutional neural networks (CNNs) for multiclass classification. The proposed model is trained and tested for four different depths of the CNN architectures followed by the comparison with some pre-trained CNN architectures such as Inception V3, VGG16, VGG19, ResNet50. The proposed model is evaluated on National University of Singapore (NUS) hand posture dataset II (subset A), which contains 2000 images in 10 classes. A significant recognition rate of 97.15 % is achieved for the proposed model outperforming a set of prominent models and demonstrating its promises for sign language translation.
{"title":"Automatic Hand Gesture Recognition with Semantic Segmentation and Deep Learning","authors":"Bristy Chanda, H. Nyeem","doi":"10.1109/icaeee54957.2022.9836425","DOIUrl":"https://doi.org/10.1109/icaeee54957.2022.9836425","url":null,"abstract":"Automatic Hand Gesture Recognition is a key requirement for variety of applications, including translation of Sign Language, Human-Computer Interaction (HCI) and, ubiquitous vision-based systems. Due to the lighting variance and complicated background in the input image set of gestures, meeting this criterion remains a challenge. This paper introduces semantic segmentation to deep learning-based hand gesture recognition system for sign language translation. Building on the U - Net architecture, the proposed model obtains the semantically segmented mask of the input image, which is then fed to convolutional neural networks (CNNs) for multiclass classification. The proposed model is trained and tested for four different depths of the CNN architectures followed by the comparison with some pre-trained CNN architectures such as Inception V3, VGG16, VGG19, ResNet50. The proposed model is evaluated on National University of Singapore (NUS) hand posture dataset II (subset A), which contains 2000 images in 10 classes. A significant recognition rate of 97.15 % is achieved for the proposed model outperforming a set of prominent models and demonstrating its promises for sign language translation.","PeriodicalId":383872,"journal":{"name":"2022 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129187166","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}
Pub Date : 2022-02-24DOI: 10.1109/icaeee54957.2022.9836351
Sanjid-E-Elahi, M. Rahman, Md. Alamgir Hossain, M. Sikder
This paper presents several optimized control methods for voltage control of an islanded microgrid connected through an inverter system. The control methodology of the microgrid is based on converter control using the PWM. Optimal controllers such as Linear Quadratic Regulator (LQR), Linear Quadratic Integrator (LQI) and Linear Quadratic Gaussian (LQG) are developed to control the voltage of converters. A robust optimal controller provides fast dynamic response and is capable of resisting voltage fluctuations from instantaneous reference grid voltage; to control the inverter voltage that can be utilized in a microgrid (MG). The proposed control strategies basically allow the MG to be controlled with minimum control input while impeding voltage deviation from a reference voltage during disturbances in the power system, such as sudden load change. The performance of designed controllers has been compared against linear and non-linear loads with several conditions. The studied systems are modeled and simulated in the MATLAB/SIMULINK environment and the comparison results show that both LQI and LQG controllers provide good tracking and reasonable performance.
{"title":"A Comparative Study of Robust Optimal Controllers for Grid Voltage Control in Islanded Microgrids","authors":"Sanjid-E-Elahi, M. Rahman, Md. Alamgir Hossain, M. Sikder","doi":"10.1109/icaeee54957.2022.9836351","DOIUrl":"https://doi.org/10.1109/icaeee54957.2022.9836351","url":null,"abstract":"This paper presents several optimized control methods for voltage control of an islanded microgrid connected through an inverter system. The control methodology of the microgrid is based on converter control using the PWM. Optimal controllers such as Linear Quadratic Regulator (LQR), Linear Quadratic Integrator (LQI) and Linear Quadratic Gaussian (LQG) are developed to control the voltage of converters. A robust optimal controller provides fast dynamic response and is capable of resisting voltage fluctuations from instantaneous reference grid voltage; to control the inverter voltage that can be utilized in a microgrid (MG). The proposed control strategies basically allow the MG to be controlled with minimum control input while impeding voltage deviation from a reference voltage during disturbances in the power system, such as sudden load change. The performance of designed controllers has been compared against linear and non-linear loads with several conditions. The studied systems are modeled and simulated in the MATLAB/SIMULINK environment and the comparison results show that both LQI and LQG controllers provide good tracking and reasonable performance.","PeriodicalId":383872,"journal":{"name":"2022 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE)","volume":"158 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116109572","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}
Pub Date : 2022-02-24DOI: 10.1109/icaeee54957.2022.9836426
M. Halim, Ruma
This paper aims to assess the impact of high voltage discharge on Chlamydomonas algae. Chlamydomonas has been chosen as a sample in this study due to its availability in Bangladesh. It grows on the surface of the water and causes various adverse effects on humans, environment, and other animal beings. There are various methods to inactivate the harmful effects of algae. The use of chemicals (like chlorine) produces harmful by-products and also affects human health. The application of high voltage discharge is an effective technique, which has a great impact on removing harmful algae. It has been found that discharge starts as a streamer with thin light intensity, then spreads in the form of branching on the surface of the water, and then converts to spark discharge with increasing input voltage. The application of discharge results in the complete deactivation of Chlamydomonas algae. The results and findings of this study will lead to developing more accurate knowledge about the real-life application of high voltage discharge.
{"title":"Analysis of the Impact of Various Properties of High Voltage Discharge for Deactivation of Water Algae","authors":"M. Halim, Ruma","doi":"10.1109/icaeee54957.2022.9836426","DOIUrl":"https://doi.org/10.1109/icaeee54957.2022.9836426","url":null,"abstract":"This paper aims to assess the impact of high voltage discharge on Chlamydomonas algae. Chlamydomonas has been chosen as a sample in this study due to its availability in Bangladesh. It grows on the surface of the water and causes various adverse effects on humans, environment, and other animal beings. There are various methods to inactivate the harmful effects of algae. The use of chemicals (like chlorine) produces harmful by-products and also affects human health. The application of high voltage discharge is an effective technique, which has a great impact on removing harmful algae. It has been found that discharge starts as a streamer with thin light intensity, then spreads in the form of branching on the surface of the water, and then converts to spark discharge with increasing input voltage. The application of discharge results in the complete deactivation of Chlamydomonas algae. The results and findings of this study will lead to developing more accurate knowledge about the real-life application of high voltage discharge.","PeriodicalId":383872,"journal":{"name":"2022 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116700516","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}
Pub Date : 2022-02-24DOI: 10.1109/icaeee54957.2022.9836373
Ruma, H. Hosano, T. Sakugawa, H. Akiyama
High voltage pulsed electric discharge in water is an effective method for generation of enormous chemical active species and reactive radicals. Discharge propagation in gas bubbling water influence the discharge characteristics and the production of chemical active species in water. A magnetic pulsed compression (MPC) pulse power generator with 0.5 J/pulse, 0-30kV is employed to generate discharge in water under both with and without gas bubbling condition. The main objective of this research is to investigate the effect of gas bubbling on the physical characteristics of discharge and to measure H2O2 as an indicator of chemical species formation in water. Depending on the bubbles propagation, discharge characteristics changes from streamer to arc in gas bubbling water, where only streamer discharge propagates in water without gas bubbling. The concentration of H2O2 is higher by the discharge in the presence of gas bubbling than without gas bubbling in water.
{"title":"Effect of Gas Bubbling on the Physical and Chemical Activity of High Voltage Discharge Plasma in Water","authors":"Ruma, H. Hosano, T. Sakugawa, H. Akiyama","doi":"10.1109/icaeee54957.2022.9836373","DOIUrl":"https://doi.org/10.1109/icaeee54957.2022.9836373","url":null,"abstract":"High voltage pulsed electric discharge in water is an effective method for generation of enormous chemical active species and reactive radicals. Discharge propagation in gas bubbling water influence the discharge characteristics and the production of chemical active species in water. A magnetic pulsed compression (MPC) pulse power generator with 0.5 J/pulse, 0-30kV is employed to generate discharge in water under both with and without gas bubbling condition. The main objective of this research is to investigate the effect of gas bubbling on the physical characteristics of discharge and to measure H2O2 as an indicator of chemical species formation in water. Depending on the bubbles propagation, discharge characteristics changes from streamer to arc in gas bubbling water, where only streamer discharge propagates in water without gas bubbling. The concentration of H2O2 is higher by the discharge in the presence of gas bubbling than without gas bubbling in water.","PeriodicalId":383872,"journal":{"name":"2022 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123422446","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}
Pub Date : 2022-02-24DOI: 10.1109/icaeee54957.2022.9836361
Khandakar Rabbi Ahmed, Md. Alomgir Hossain, A. Akter, Lamia Akthar
This research focuses on secure automating the level crossing and tracking the train using a microcontroller and a train detection system. An important issue in Bangladesh's railway transportation is the level crossings bar controlling system. The bars are presently manually adjusted in Bangladeshi railways. As soon as the train arrives, the bar lineman will know. On the basis of that data, they will close and re-open the A lineman's irresponsibility is a big issue. An automated railway gate control system can prevent this by automatically closing or opening the bar as a train arrives or departs. In normal operation, the sensors close the bars when a train is spotted and open them after it departs. Trains, however, will be GPS-tracked. The passengers and railroad authorities could track it. Each train has its own code. With the code, passengers can communicate with the train tracking system. In order to avoid collisions, the authority and train driver might be alerted.
{"title":"A Secure Automated Level Crossing and Train Detection System for Bangladesh Railway","authors":"Khandakar Rabbi Ahmed, Md. Alomgir Hossain, A. Akter, Lamia Akthar","doi":"10.1109/icaeee54957.2022.9836361","DOIUrl":"https://doi.org/10.1109/icaeee54957.2022.9836361","url":null,"abstract":"This research focuses on secure automating the level crossing and tracking the train using a microcontroller and a train detection system. An important issue in Bangladesh's railway transportation is the level crossings bar controlling system. The bars are presently manually adjusted in Bangladeshi railways. As soon as the train arrives, the bar lineman will know. On the basis of that data, they will close and re-open the A lineman's irresponsibility is a big issue. An automated railway gate control system can prevent this by automatically closing or opening the bar as a train arrives or departs. In normal operation, the sensors close the bars when a train is spotted and open them after it departs. Trains, however, will be GPS-tracked. The passengers and railroad authorities could track it. Each train has its own code. With the code, passengers can communicate with the train tracking system. In order to avoid collisions, the authority and train driver might be alerted.","PeriodicalId":383872,"journal":{"name":"2022 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126127616","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}
Pub Date : 2022-02-24DOI: 10.1109/icaeee54957.2022.9836342
Shah Alam, Mahfuzulhoq Chowdhury, S. Rasel
Over the years, the Post-office plays an excellent role to raise the standard of people's life by connecting people through the postal package delivery services along with other socio-economic services. With the progress of the digital age, nowadays peoples want more faster and reliable postal services. To cope up with people's expectations, Bangladeshi post-offices require user demand and verification-aware digital mobile applications for the postal services. At present, the existing work on Bangladeshi postal services do not present any intelligent digital mail mobile application by considering user demand-aware postal package delivery, login/signup system for users and officials, package tracking and receiver verification by using QR code, different bill payment option, nearby post-office suggestion, complaint regarding service delivery, help, and customer notification regarding the package delivery at the same time. To overcome the existing issues, this paper presents a user demand and verification-aware 'digital mail’ mobile application featuring flexible parcel delivery for the Bangladeshi post offices. The proposed mobile application offers several facilities for postal services like user verification, login, demand-aware package submission, payment, package notification, and delivery, parcel tracking, user feedback, and help features. The user feedback results with almost 85% users satisfaction indicate the necessity of the proposed system.
{"title":"Digital Mail: An User Demand and Verification-aware Mobile Application Featuring Parcel Delivery for the Bangladeshi Postal Services","authors":"Shah Alam, Mahfuzulhoq Chowdhury, S. Rasel","doi":"10.1109/icaeee54957.2022.9836342","DOIUrl":"https://doi.org/10.1109/icaeee54957.2022.9836342","url":null,"abstract":"Over the years, the Post-office plays an excellent role to raise the standard of people's life by connecting people through the postal package delivery services along with other socio-economic services. With the progress of the digital age, nowadays peoples want more faster and reliable postal services. To cope up with people's expectations, Bangladeshi post-offices require user demand and verification-aware digital mobile applications for the postal services. At present, the existing work on Bangladeshi postal services do not present any intelligent digital mail mobile application by considering user demand-aware postal package delivery, login/signup system for users and officials, package tracking and receiver verification by using QR code, different bill payment option, nearby post-office suggestion, complaint regarding service delivery, help, and customer notification regarding the package delivery at the same time. To overcome the existing issues, this paper presents a user demand and verification-aware 'digital mail’ mobile application featuring flexible parcel delivery for the Bangladeshi post offices. The proposed mobile application offers several facilities for postal services like user verification, login, demand-aware package submission, payment, package notification, and delivery, parcel tracking, user feedback, and help features. The user feedback results with almost 85% users satisfaction indicate the necessity of the proposed system.","PeriodicalId":383872,"journal":{"name":"2022 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126764615","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}
Pub Date : 2022-02-24DOI: 10.1109/icaeee54957.2022.9836471
Md. Rejwanul Hossain, M. Arefin
Point-of-interest (POI) recommendation system is popularly used in location based social networks where the goal is to recommend interesting unvisited locations to users. The sequential nature of check-ins hindered many researchers to apply Recurrent Neural Network (RNN) based models for this task. However, most of the models consider only historical check-ins of the user for generating recommendations and fail to incorporate information about current location and time which plays an important role. For reducing data sparsity in spatial dimension, many models use hierarchical gridding of the map which can not reflect spatial distance properly between neighboring grids. Besides, most of the existing models ignored the impact of weather condition when generating recommendation. Keeping these limitations in mind, in this paper we present a framework for point-of-interest recommendation that can model sequential nature of check-ins using Long Short-Term Memory (LSTM) network. We incorporate current spatiotemporal information with weather condition that can provide better personalized recommendation. Instead of hierarchical gridding, we perform linear interpolation for smooth representation of distance between two locations. Extensive experiments on two real world dataset shows that our proposed method surpasses existing state-of-the art methods by 16-18%.
{"title":"Developing a Framework for Next Point-of-interest Recommendation from Spatiotemporal Data","authors":"Md. Rejwanul Hossain, M. Arefin","doi":"10.1109/icaeee54957.2022.9836471","DOIUrl":"https://doi.org/10.1109/icaeee54957.2022.9836471","url":null,"abstract":"Point-of-interest (POI) recommendation system is popularly used in location based social networks where the goal is to recommend interesting unvisited locations to users. The sequential nature of check-ins hindered many researchers to apply Recurrent Neural Network (RNN) based models for this task. However, most of the models consider only historical check-ins of the user for generating recommendations and fail to incorporate information about current location and time which plays an important role. For reducing data sparsity in spatial dimension, many models use hierarchical gridding of the map which can not reflect spatial distance properly between neighboring grids. Besides, most of the existing models ignored the impact of weather condition when generating recommendation. Keeping these limitations in mind, in this paper we present a framework for point-of-interest recommendation that can model sequential nature of check-ins using Long Short-Term Memory (LSTM) network. We incorporate current spatiotemporal information with weather condition that can provide better personalized recommendation. Instead of hierarchical gridding, we perform linear interpolation for smooth representation of distance between two locations. Extensive experiments on two real world dataset shows that our proposed method surpasses existing state-of-the art methods by 16-18%.","PeriodicalId":383872,"journal":{"name":"2022 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125900930","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}
Pub Date : 2022-02-24DOI: 10.1109/icaeee54957.2022.9836422
Md. Shohidul Islam Polash, Shazzad Hossen, Rahmatul Kabir Rasel Sarker, Md. Atik Bhuiyan, A. Taher
Stomach Cancer is a strange development of cells that starts in the stomach. It can be called gastric cancer and can influence any stomach piece. All over the universe, malignant stomach development is the fifth -driving sort of disease and the third driving justification for death from threat. After being determined to have malignant growth, the doctor determines the patient's chances of survival and how long they can survive. The doctor usually estimates lifespan from his previous patient seeing experience; in some cases, estimation is wrong. But with the assistance of machine learning, it is possible to make this assumption very accurately. Typically individuals tackle these issues as regression issues. We have shown how the arrangement is conceivable with multiclass grouping. Moreover, the SEER data set guides us in our outing. Our created model can predict the sur-vival period of Stomach cancer patients. Exceptionally affected characteristics from SEER helped in the ML approaches. These high features feed to eight different classification algorithms: Extra tree, Random Forest, Bagging, Gradient Boost, LightGBM, XGBoost Decision tree, and HGB. The Extra Tree Classifier can predict the survival time with 97.27 % accuracy. These models will revolutionize the medical management of doctors.
胃癌是一种奇怪的细胞发展，始于胃。它可被称为胃癌，可影响胃的任何一块。在整个宇宙中，恶性胃发育是第五种驱动疾病，也是第三种驱动死亡的理由。在被确定患有恶性肿瘤后，医生决定病人的生存机会和他们能活多久。医生通常根据他以前看病人的经验来估计病人的寿命;在某些情况下，估计是错误的。但在机器学习的帮助下，可以非常准确地做出这个假设。通常，个人将这些问题视为回归问题。我们已经展示了多类分组是如何安排的。此外，SEER数据集指导我们的郊游。我们建立的模型可以预测胃癌患者的生存期。来自SEER的异常影响特征有助于ML方法。这些高特征提供给八种不同的分类算法:Extra tree, Random Forest, Bagging, Gradient Boost, LightGBM, XGBoost Decision tree和HGB。Extra Tree Classifier预测存活时间的准确率为97.27%。这些模式将彻底改变医生的医疗管理。
{"title":"Functionality Testing of Machine Learning Algorithms to Anticipate Life Expectancy of Stomach Cancer Patients","authors":"Md. Shohidul Islam Polash, Shazzad Hossen, Rahmatul Kabir Rasel Sarker, Md. Atik Bhuiyan, A. Taher","doi":"10.1109/icaeee54957.2022.9836422","DOIUrl":"https://doi.org/10.1109/icaeee54957.2022.9836422","url":null,"abstract":"Stomach Cancer is a strange development of cells that starts in the stomach. It can be called gastric cancer and can influence any stomach piece. All over the universe, malignant stomach development is the fifth -driving sort of disease and the third driving justification for death from threat. After being determined to have malignant growth, the doctor determines the patient's chances of survival and how long they can survive. The doctor usually estimates lifespan from his previous patient seeing experience; in some cases, estimation is wrong. But with the assistance of machine learning, it is possible to make this assumption very accurately. Typically individuals tackle these issues as regression issues. We have shown how the arrangement is conceivable with multiclass grouping. Moreover, the SEER data set guides us in our outing. Our created model can predict the sur-vival period of Stomach cancer patients. Exceptionally affected characteristics from SEER helped in the ML approaches. These high features feed to eight different classification algorithms: Extra tree, Random Forest, Bagging, Gradient Boost, LightGBM, XGBoost Decision tree, and HGB. The Extra Tree Classifier can predict the survival time with 97.27 % accuracy. These models will revolutionize the medical management of doctors.","PeriodicalId":383872,"journal":{"name":"2022 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125789060","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}
Pub Date : 2022-02-24DOI: 10.1109/icaeee54957.2022.9836390
Foez Ahmed, Arif Ahammad
With the advancement of modern lifestyle, Smart Switchboards are becoming a new trend. They not only provide remote switching, but also allow us to set schedules for automatically switching the appliances. However, most Smart Switchboards do not come with the facility of monitoring the electrical power consumption or detecting faults in the electrical equipment. Therefore, the aim of this research is to design a compact and effective system that can monitor the behavior of the electrical appliances and detect faults, and also detect presence of any person in the designated area and notify the authorized person in case of any hazards. Moreover, the data stored by the system is utilized to calculate the total power consumption. By implementing this system, electrical power is utilized more effectively. With further research and cost minimization through industrialized processing, this type of Smart Switchboards will become the norm.
{"title":"Design and Development of an IoT based Power Monitoring and Management System","authors":"Foez Ahmed, Arif Ahammad","doi":"10.1109/icaeee54957.2022.9836390","DOIUrl":"https://doi.org/10.1109/icaeee54957.2022.9836390","url":null,"abstract":"With the advancement of modern lifestyle, Smart Switchboards are becoming a new trend. They not only provide remote switching, but also allow us to set schedules for automatically switching the appliances. However, most Smart Switchboards do not come with the facility of monitoring the electrical power consumption or detecting faults in the electrical equipment. Therefore, the aim of this research is to design a compact and effective system that can monitor the behavior of the electrical appliances and detect faults, and also detect presence of any person in the designated area and notify the authorized person in case of any hazards. Moreover, the data stored by the system is utilized to calculate the total power consumption. By implementing this system, electrical power is utilized more effectively. With further research and cost minimization through industrialized processing, this type of Smart Switchboards will become the norm.","PeriodicalId":383872,"journal":{"name":"2022 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125593057","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}
Pub Date : 2022-02-24DOI: 10.1109/icaeee54957.2022.9836377
Sadia Enam, M. Rana
This study evaluates the performance of a textile antenna close to a human body phantom developed for on-body wireless communication applications. A rectangular textile antenna (RTA) with fabric (wash cotton, polycot, and polyester) substrate has been designed in 2.45 GHz WLAN band. The antennas are also analyzed in close proximity (2 mm away) to a three-layered (skin, fat, and muscle) flat human body tissue model (HBTM). A frequency detuning and reduction in antenna performance are noticed after applying flat HBTM. The curtain cotton made RMPA shows better return loss (−54.5843 dB and −49.7967 dB), peak directivity (9.220 dBi and 9.106 dBi), gain (7.965 dBi and 7.732 dBi), and efficiency (76.12% and 74.25%) for both off body and on body by maintaining a bandwidth of 100.3 MHz and 99.8 MHz. The Specific Absorption Rate (SAR) recorded for RMPA (curtain cotton) is 0.0277 W/kg< 2 W/kg averaged over 10g tissue.
{"title":"Impact of Body Proximity on Body Worn Textile Antenna Performance","authors":"Sadia Enam, M. Rana","doi":"10.1109/icaeee54957.2022.9836377","DOIUrl":"https://doi.org/10.1109/icaeee54957.2022.9836377","url":null,"abstract":"This study evaluates the performance of a textile antenna close to a human body phantom developed for on-body wireless communication applications. A rectangular textile antenna (RTA) with fabric (wash cotton, polycot, and polyester) substrate has been designed in 2.45 GHz WLAN band. The antennas are also analyzed in close proximity (2 mm away) to a three-layered (skin, fat, and muscle) flat human body tissue model (HBTM). A frequency detuning and reduction in antenna performance are noticed after applying flat HBTM. The curtain cotton made RMPA shows better return loss (−54.5843 dB and −49.7967 dB), peak directivity (9.220 dBi and 9.106 dBi), gain (7.965 dBi and 7.732 dBi), and efficiency (76.12% and 74.25%) for both off body and on body by maintaining a bandwidth of 100.3 MHz and 99.8 MHz. The Specific Absorption Rate (SAR) recorded for RMPA (curtain cotton) is 0.0277 W/kg< 2 W/kg averaged over 10g tissue.","PeriodicalId":383872,"journal":{"name":"2022 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116077090","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}
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