Pub Date : 2020-06-05DOI: 10.1109/TENSYMP50017.2020.9231029
Bidya Debnath, S. Biswas, M. Uddin
Current movement towards electric vehicle (EV) usage will demand high power consumption in future due to EV charging. As the usage will grow, sudden spike in load curve at busy hours will be a severe problem. This paper focuses on the optimized charging scheduling for EVs to shave peak load for their integration in smart grid. A two layer optimization method is proposed based on the location, charging status of the EV and load scenario of the substations to shave electric peak load. Optimization problem is formulated for each of the layer. The optimization problem of the first layer determines the allowable load level in each hour of a day for each charging station by reducing the peak load of substation. For a new EV, the charging station selection method is proposed by using the allowable peak loads obtained from first layer optimization problem. The optimization problem of the second layer provides an optimized on-off keying charging scheme of the ports for the selected charging stations. The first optimization problem is an off-line root mean square type non-linear problem and the second problem is a binary linear programming. Both the problems are solved for several scenarios by using MATLAB optimization toolboxes. The numerical results show that a significant amount peak load shaving can be achieved by using the proposed method and the percentage of peak load reduction increases with increasing the EV penetration.
{"title":"Optimization of Electric Vehicle Charging to Shave Peak Load for Integration in Smart Grid","authors":"Bidya Debnath, S. Biswas, M. Uddin","doi":"10.1109/TENSYMP50017.2020.9231029","DOIUrl":"https://doi.org/10.1109/TENSYMP50017.2020.9231029","url":null,"abstract":"Current movement towards electric vehicle (EV) usage will demand high power consumption in future due to EV charging. As the usage will grow, sudden spike in load curve at busy hours will be a severe problem. This paper focuses on the optimized charging scheduling for EVs to shave peak load for their integration in smart grid. A two layer optimization method is proposed based on the location, charging status of the EV and load scenario of the substations to shave electric peak load. Optimization problem is formulated for each of the layer. The optimization problem of the first layer determines the allowable load level in each hour of a day for each charging station by reducing the peak load of substation. For a new EV, the charging station selection method is proposed by using the allowable peak loads obtained from first layer optimization problem. The optimization problem of the second layer provides an optimized on-off keying charging scheme of the ports for the selected charging stations. The first optimization problem is an off-line root mean square type non-linear problem and the second problem is a binary linear programming. Both the problems are solved for several scenarios by using MATLAB optimization toolboxes. The numerical results show that a significant amount peak load shaving can be achieved by using the proposed method and the percentage of peak load reduction increases with increasing the EV penetration.","PeriodicalId":6721,"journal":{"name":"2020 IEEE Region 10 Symposium (TENSYMP)","volume":"28 1","pages":"483-488"},"PeriodicalIF":0.0,"publicationDate":"2020-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85945114","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 : 2020-06-05DOI: 10.1109/TENSYMP50017.2020.9231005
S. M. Ahsanuzzaman, Toufiq Ahmed, Md Atiqur Rahman
Electrocardiogram (ECG) has been the golden standard for the detection of cardiovascular disease for many years. Any electrical impulse disruption that causes the heart to the contract may lead to arrhythmia. Arrhythmia patients have no indications of having an arrhythmia, but a doctor may recognize arrhythmias in a routine test. Therefore, continuous wearable personal monitoring system plays a big role, and it's become popular day by day. This research focuses on designing and developing a method for predicting arrhythmia (atrial fibrillation) along with monitoring the ECG signals. To create an arrhythmia prediction model and an Android-based real-time ECG surveillance system, Long Short-Term Memories neural network, Recurrent Neural Network, TensorFlow and Keras library are applied here. Those deep learning models and algorithms help to achieve overall 97.57% accuracy on arrhythmia prediction. The system is being designed with Raspberry pi 3, Arduino UNO, AD8232 single lead ECG sensor, HC-05 Bluetooth, biomedical sensor pad and battery. This system will make easier for doctors to monitor the ECG of their patients outside the hospital and also help for remote ECG monitoring. The total components cost of this research work is around USD 58.
多年来，心电图(ECG)一直是检测心血管疾病的黄金标准。任何导致心脏收缩的电脉冲中断都可能导致心律失常。心律失常患者没有心律失常的迹象，但医生可以在常规检查中识别心律失常。因此，连续式可穿戴个人监控系统发挥了很大的作用，并日益受到人们的欢迎。本研究的重点是设计和开发一种结合心电信号预测心律失常(房颤)的方法。本文应用长短期记忆神经网络、递归神经网络、TensorFlow和Keras库构建心律失常预测模型和基于android的实时心电监测系统。这些深度学习模型和算法有助于心律失常预测的总体准确率达到97.57%。该系统采用Raspberry pi 3、Arduino UNO、AD8232单导联ECG传感器、HC-05蓝牙、生物医学传感器垫和电池设计。该系统将使医生更容易在医院外监测患者的心电图，也有助于远程心电监测。这项研究工作的总元件成本在58美元左右。
{"title":"Low Cost, Portable ECG Monitoring and Alarming System Based on Deep Learning","authors":"S. M. Ahsanuzzaman, Toufiq Ahmed, Md Atiqur Rahman","doi":"10.1109/TENSYMP50017.2020.9231005","DOIUrl":"https://doi.org/10.1109/TENSYMP50017.2020.9231005","url":null,"abstract":"Electrocardiogram (ECG) has been the golden standard for the detection of cardiovascular disease for many years. Any electrical impulse disruption that causes the heart to the contract may lead to arrhythmia. Arrhythmia patients have no indications of having an arrhythmia, but a doctor may recognize arrhythmias in a routine test. Therefore, continuous wearable personal monitoring system plays a big role, and it's become popular day by day. This research focuses on designing and developing a method for predicting arrhythmia (atrial fibrillation) along with monitoring the ECG signals. To create an arrhythmia prediction model and an Android-based real-time ECG surveillance system, Long Short-Term Memories neural network, Recurrent Neural Network, TensorFlow and Keras library are applied here. Those deep learning models and algorithms help to achieve overall 97.57% accuracy on arrhythmia prediction. The system is being designed with Raspberry pi 3, Arduino UNO, AD8232 single lead ECG sensor, HC-05 Bluetooth, biomedical sensor pad and battery. This system will make easier for doctors to monitor the ECG of their patients outside the hospital and also help for remote ECG monitoring. The total components cost of this research work is around USD 58.","PeriodicalId":6721,"journal":{"name":"2020 IEEE Region 10 Symposium (TENSYMP)","volume":"20 1","pages":"316-319"},"PeriodicalIF":0.0,"publicationDate":"2020-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86665356","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 : 2020-06-05DOI: 10.1109/TENSYMP50017.2020.9230656
Md. Motaharul Islam, A. M. Ridwan, Mekhala Mariam Mary, M. Siam, Sadia Anika Mumu, Shohag Rana
Nowadays overpopulated countries like Bangladesh have become a warzone where thousands of people lose their lives and even more become handicapped due to road accidents. With the recent popularity of ride sharing apps like Pathao, Uber Moto, Shohoz etc. the number of bikes in Dhaka city has increased drastically. As bike accidents are becoming quite an alarming issue, we felt the need of an improved bike safety system. In this paper, we have proposed a system that detects bike accidents using MPU6050 (gyro sensor and accelerometer), SIM808 (GPS+GPRS+GSM), Raspberry Pi 3 Model B and Arduino Uno. We have placed the proposed system on the surface of the bike. If an accident occurs, the sensors will trigger and send a message containing the number and location of the biker to the nearest hospitals, police stations and registered family members.
如今，像孟加拉国这样人口过剩的国家已经成为一个战区，成千上万的人失去了生命，甚至更多的人因为交通事故而成为残疾人。随着最近像Pathao、Uber Moto、Shohoz等拼车应用的流行，达卡市的自行车数量急剧增加。由于自行车事故已成为一个令人担忧的问题，我们感到有必要改进自行车安全系统。本文采用MPU6050(陀螺仪传感器和加速度计)、SIM808 (GPS+GPRS+GSM)、Raspberry Pi 3 Model B和Arduino Uno，设计了一个自行车事故检测系统。我们把这个系统安装在自行车的表面上。如果发生事故，传感器将触发并向最近的医院、警察局和登记的家庭成员发送包含骑车人号码和位置的信息。
{"title":"Design and Implementation of a Smart Bike Accident Detection System","authors":"Md. Motaharul Islam, A. M. Ridwan, Mekhala Mariam Mary, M. Siam, Sadia Anika Mumu, Shohag Rana","doi":"10.1109/TENSYMP50017.2020.9230656","DOIUrl":"https://doi.org/10.1109/TENSYMP50017.2020.9230656","url":null,"abstract":"Nowadays overpopulated countries like Bangladesh have become a warzone where thousands of people lose their lives and even more become handicapped due to road accidents. With the recent popularity of ride sharing apps like Pathao, Uber Moto, Shohoz etc. the number of bikes in Dhaka city has increased drastically. As bike accidents are becoming quite an alarming issue, we felt the need of an improved bike safety system. In this paper, we have proposed a system that detects bike accidents using MPU6050 (gyro sensor and accelerometer), SIM808 (GPS+GPRS+GSM), Raspberry Pi 3 Model B and Arduino Uno. We have placed the proposed system on the surface of the bike. If an accident occurs, the sensors will trigger and send a message containing the number and location of the biker to the nearest hospitals, police stations and registered family members.","PeriodicalId":6721,"journal":{"name":"2020 IEEE Region 10 Symposium (TENSYMP)","volume":"322 1","pages":"386-389"},"PeriodicalIF":0.0,"publicationDate":"2020-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86798755","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 : 2020-06-05DOI: 10.1109/tensymp50017.2020.9230944
Mumtahina Khan Mumu, Rifat Hasan
In this research, it is proposed to perform a palm-leaf microstrip antenna designed to operate with a V band (40 to 75 GHz) with an acceptable return loss response below-50 dB. The antenna with palm leaf shaped provides a larger bandwidth than the patch antenna with a rectangular microstrip. A total wide bandwidth of 20 GHz with an effective gain of 7.902 dBi as well as an extremely low return loss between 38 and 58 GHz have been optimized for the antenna frameworks. It can effectively be manufactured for miniaturized wireless applications due to very compact dimensions of 6.8 × 6 × 1.44 mm3. Such high bandwidth is useful for many V-band wireless services.
{"title":"Design of a Palm Leaf Shaped Compact Microstrip Patch Antenna for Wireless Applications","authors":"Mumtahina Khan Mumu, Rifat Hasan","doi":"10.1109/tensymp50017.2020.9230944","DOIUrl":"https://doi.org/10.1109/tensymp50017.2020.9230944","url":null,"abstract":"In this research, it is proposed to perform a palm-leaf microstrip antenna designed to operate with a V band (40 to 75 GHz) with an acceptable return loss response below-50 dB. The antenna with palm leaf shaped provides a larger bandwidth than the patch antenna with a rectangular microstrip. A total wide bandwidth of 20 GHz with an effective gain of 7.902 dBi as well as an extremely low return loss between 38 and 58 GHz have been optimized for the antenna frameworks. It can effectively be manufactured for miniaturized wireless applications due to very compact dimensions of 6.8 × 6 × 1.44 mm3. Such high bandwidth is useful for many V-band wireless services.","PeriodicalId":6721,"journal":{"name":"2020 IEEE Region 10 Symposium (TENSYMP)","volume":"46 1","pages":"465-468"},"PeriodicalIF":0.0,"publicationDate":"2020-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87407406","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 : 2020-06-05DOI: 10.1109/TENSYMP50017.2020.9230956
Aamir Ahamed, Rubel Ahmed, Md. Iquebal Hossain Patwary, Shafayat Hossain, S. U. Alam, H. Banna
With todays increasing technologies, people also are using robots in different sectors of human life to make life easier. Meanwhile, in the care of patients, robots are used in the medicare system. A nursing robot has the ability to carry out basic nursing care functions as expected by the patients like that a human nurse. But in our country patients do not get proper nursing care, accordingly, older people are suffered a lot. They always forget to take their medicine at the proper time. So, in this paper, it is our main concern about patients or older people to remind taking medicine in time and to provide pure drinking water at any time when the patients desired. We made a framework that is a line follower robot works with IR sensor and Arduino UNO microcontroller. RF receiver receives signals from respective patients. A real-time clock (RTC) is used to supply medicine in due time. IR sensor and Ultrasonic sensor sense the presence of water glass and the level of drinking water.
{"title":"Design and Implementation of a Nursing Robot for Old or Paralyzed Person","authors":"Aamir Ahamed, Rubel Ahmed, Md. Iquebal Hossain Patwary, Shafayat Hossain, S. U. Alam, H. Banna","doi":"10.1109/TENSYMP50017.2020.9230956","DOIUrl":"https://doi.org/10.1109/TENSYMP50017.2020.9230956","url":null,"abstract":"With todays increasing technologies, people also are using robots in different sectors of human life to make life easier. Meanwhile, in the care of patients, robots are used in the medicare system. A nursing robot has the ability to carry out basic nursing care functions as expected by the patients like that a human nurse. But in our country patients do not get proper nursing care, accordingly, older people are suffered a lot. They always forget to take their medicine at the proper time. So, in this paper, it is our main concern about patients or older people to remind taking medicine in time and to provide pure drinking water at any time when the patients desired. We made a framework that is a line follower robot works with IR sensor and Arduino UNO microcontroller. RF receiver receives signals from respective patients. A real-time clock (RTC) is used to supply medicine in due time. IR sensor and Ultrasonic sensor sense the presence of water glass and the level of drinking water.","PeriodicalId":6721,"journal":{"name":"2020 IEEE Region 10 Symposium (TENSYMP)","volume":"226 1","pages":"594-597"},"PeriodicalIF":0.0,"publicationDate":"2020-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76165892","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 : 2020-06-05DOI: 10.1109/TENSYMP50017.2020.9230782
Noverina Alfiany, G. Jati, Nur Hamid, Rif'at Ahdi Ramadhani, Made Wira Dhanar Santika, W. Jatmiko
Three-wheeled mobile robot called “Becak” is one of the alternative transportation that generally used in developing countries. This research proposed a new design of the Becak to become autonomous vehicle one. This paper derived the kinematics model as a fundamental aspect of designing a mobile robot. Three-wheeled kinematic robot model that depending on the back wheel as initial robot velocity and the mobile robot turning angle determined by robot shaft angle. The model is obtained by assuming that a rotation merely depends on the robot shaft movement, as the front wheels both are standard fixed wheel. The rear wheel of the mobile robot also takes a standard fixed wheel. An additional assumption in this model is that there is a slip angle that affected the final pose of the mobile robot. The final pose of the mobile robot then calculated and simulated based on two input variables, i—e., rear-wheel velocity and robot shaft angle. The mobile robot trajectory plots are generated based on the proposed kinematics model.
{"title":"Kinematics and Simulation Model of Autonomous Indonesian “Becak” Robot","authors":"Noverina Alfiany, G. Jati, Nur Hamid, Rif'at Ahdi Ramadhani, Made Wira Dhanar Santika, W. Jatmiko","doi":"10.1109/TENSYMP50017.2020.9230782","DOIUrl":"https://doi.org/10.1109/TENSYMP50017.2020.9230782","url":null,"abstract":"Three-wheeled mobile robot called “Becak” is one of the alternative transportation that generally used in developing countries. This research proposed a new design of the Becak to become autonomous vehicle one. This paper derived the kinematics model as a fundamental aspect of designing a mobile robot. Three-wheeled kinematic robot model that depending on the back wheel as initial robot velocity and the mobile robot turning angle determined by robot shaft angle. The model is obtained by assuming that a rotation merely depends on the robot shaft movement, as the front wheels both are standard fixed wheel. The rear wheel of the mobile robot also takes a standard fixed wheel. An additional assumption in this model is that there is a slip angle that affected the final pose of the mobile robot. The final pose of the mobile robot then calculated and simulated based on two input variables, i—e., rear-wheel velocity and robot shaft angle. The mobile robot trajectory plots are generated based on the proposed kinematics model.","PeriodicalId":6721,"journal":{"name":"2020 IEEE Region 10 Symposium (TENSYMP)","volume":"146 1","pages":"1692-1695"},"PeriodicalIF":0.0,"publicationDate":"2020-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77686122","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 : 2020-06-05DOI: 10.1109/TENSYMP50017.2020.9230666
Surabhi Ashok Babu, P. M. Ameer
Deep Learning (DL), in spite of its huge success in many new fields, is extremely vulnerable to adversarial attacks. We demonstrate how an attacker applies physical white-box and black-box adversarial attacks to Channel decoding systems based on DL. We show that these attacks can affect the systems and decrease performance. We uncover that these attacks are more effective than conventional jamming attacks. Additionally, we show that classical decoding schemes are more robust than the deep learning channel decoding systems in the presence of both adversarial and jamming attacks.
{"title":"Physical Adversarial Attacks Against Deep Learning Based Channel Decoding Systems","authors":"Surabhi Ashok Babu, P. M. Ameer","doi":"10.1109/TENSYMP50017.2020.9230666","DOIUrl":"https://doi.org/10.1109/TENSYMP50017.2020.9230666","url":null,"abstract":"Deep Learning (DL), in spite of its huge success in many new fields, is extremely vulnerable to adversarial attacks. We demonstrate how an attacker applies physical white-box and black-box adversarial attacks to Channel decoding systems based on DL. We show that these attacks can affect the systems and decrease performance. We uncover that these attacks are more effective than conventional jamming attacks. Additionally, we show that classical decoding schemes are more robust than the deep learning channel decoding systems in the presence of both adversarial and jamming attacks.","PeriodicalId":6721,"journal":{"name":"2020 IEEE Region 10 Symposium (TENSYMP)","volume":"105 1","pages":"1511-1514"},"PeriodicalIF":0.0,"publicationDate":"2020-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79550049","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 : 2020-06-05DOI: 10.1109/TENSYMP50017.2020.9230705
Mohammad Zeyad, S. Ahmed, Anup Pramanik, Md. Mustafizur Rahman, MD. Maruf, D. Ghosh
In this paper, the performance of Indium Arsenide (InAs) High Electron Mobility Transistor (HEMT) of 20nm gate length (Lg) is investigated by reducing the insulating density to enhance gate control whereas increasing the gate's efficiency in suppressing gate leakage. The scaling behavior of ultra-scaled InAs HEMTs system is investigated employing a 2-dimensional (2D) real-space effective mass ballistic quantum transport simulator, MATLAB and OMEN_FET on the nanohub website. Moreover, C++, OMEN programming language and Graphical User Interface (GUI) back scripts modifications tool are used. OMEN_HFET employs a real-space effective mass 2-D Schrödinger-Poisson convergent thinker to investigate the transport properties of nanoscale transistors. The process of the simulation region is limited to the contact area of the gate and the source or the drain contact is shapely by two series resistance. The device simulator can be used to gain a deeper insight into electron transport and to design the device for best performance once scaled to the nanometer systems. The simulation shows the comparison between the simulated Id-Vgs and Ig-Vgs characteristics of 20nm to 50nm gate length of flat and curves gate contact shape for InAs HEMTs. Furthermore, characteristics of Id-Vgs, horizontal electron density, and electrostatic potential, electron density; conduction band minimum; conduction band minimum in the quantum domain; current density, etc are observed by the simulation tools with better performance of the InAs HEMT of 20nm gate length which fulfilled the aim of the work.
{"title":"Performance Analysis and Scaling Behavior of Ultra-Scaled III-V (InAs) HEMTs System with 2-D Tunneling Effects on Leakage Current","authors":"Mohammad Zeyad, S. Ahmed, Anup Pramanik, Md. Mustafizur Rahman, MD. Maruf, D. Ghosh","doi":"10.1109/TENSYMP50017.2020.9230705","DOIUrl":"https://doi.org/10.1109/TENSYMP50017.2020.9230705","url":null,"abstract":"In this paper, the performance of Indium Arsenide (InAs) High Electron Mobility Transistor (HEMT) of 20nm gate length (Lg) is investigated by reducing the insulating density to enhance gate control whereas increasing the gate's efficiency in suppressing gate leakage. The scaling behavior of ultra-scaled InAs HEMTs system is investigated employing a 2-dimensional (2D) real-space effective mass ballistic quantum transport simulator, MATLAB and OMEN_FET on the nanohub website. Moreover, C++, OMEN programming language and Graphical User Interface (GUI) back scripts modifications tool are used. OMEN_HFET employs a real-space effective mass 2-D Schrödinger-Poisson convergent thinker to investigate the transport properties of nanoscale transistors. The process of the simulation region is limited to the contact area of the gate and the source or the drain contact is shapely by two series resistance. The device simulator can be used to gain a deeper insight into electron transport and to design the device for best performance once scaled to the nanometer systems. The simulation shows the comparison between the simulated Id-Vgs and Ig-Vgs characteristics of 20nm to 50nm gate length of flat and curves gate contact shape for InAs HEMTs. Furthermore, characteristics of Id-Vgs, horizontal electron density, and electrostatic potential, electron density; conduction band minimum; conduction band minimum in the quantum domain; current density, etc are observed by the simulation tools with better performance of the InAs HEMT of 20nm gate length which fulfilled the aim of the work.","PeriodicalId":6721,"journal":{"name":"2020 IEEE Region 10 Symposium (TENSYMP)","volume":"1 1","pages":"48-51"},"PeriodicalIF":0.0,"publicationDate":"2020-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86167326","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 : 2020-06-05DOI: 10.1109/TENSYMP50017.2020.9230623
M. Ashiquzzaman, Shuva Mitra, Kazi Farjana Nasrin, Md. Sanawar Hossain, Md Ashiqur Rahman Apu
In this research work, an advanced automatic multifunctional compact security system technology is developed using wireless networking system. The security system provides smart security and also alerts the user to avoid the critical circumstances in the daily security issues is held. This system provides a smart solution to the variety of different problems via remote control by the software name Cayenne. This software provides the user to control the system using smart mobile or computer from all over the world and needs to be connected via internet. The system provides general security for essential purposes as the Motion detecting system alerts for any kind of movement inside the area where it is installed, the gas detecting system alerts the user for any type of gas leakage inside the room and also clearing the leaking gas by exhaust fan automatically, the fire detection system detects instantly when a slight fire is emerged also warning the user with alarm, the LDR system is for electrical door lock and it can be controlled by Cayenne using mobile or computer and lastly a home light system which can be turned on/off by the user of Cayenne. Raspberry Pi has been used to connect and control all the necessary equipment. The system provides the most essential security for home and also for corporate world and it is very simple, easy to operate, and consumes small space.
{"title":"Advanced Wireless Control & Feedback Based Multi-functional Automatic Security System","authors":"M. Ashiquzzaman, Shuva Mitra, Kazi Farjana Nasrin, Md. Sanawar Hossain, Md Ashiqur Rahman Apu","doi":"10.1109/TENSYMP50017.2020.9230623","DOIUrl":"https://doi.org/10.1109/TENSYMP50017.2020.9230623","url":null,"abstract":"In this research work, an advanced automatic multifunctional compact security system technology is developed using wireless networking system. The security system provides smart security and also alerts the user to avoid the critical circumstances in the daily security issues is held. This system provides a smart solution to the variety of different problems via remote control by the software name Cayenne. This software provides the user to control the system using smart mobile or computer from all over the world and needs to be connected via internet. The system provides general security for essential purposes as the Motion detecting system alerts for any kind of movement inside the area where it is installed, the gas detecting system alerts the user for any type of gas leakage inside the room and also clearing the leaking gas by exhaust fan automatically, the fire detection system detects instantly when a slight fire is emerged also warning the user with alarm, the LDR system is for electrical door lock and it can be controlled by Cayenne using mobile or computer and lastly a home light system which can be turned on/off by the user of Cayenne. Raspberry Pi has been used to connect and control all the necessary equipment. The system provides the most essential security for home and also for corporate world and it is very simple, easy to operate, and consumes small space.","PeriodicalId":6721,"journal":{"name":"2020 IEEE Region 10 Symposium (TENSYMP)","volume":"22 1","pages":"1046-1049"},"PeriodicalIF":0.0,"publicationDate":"2020-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79911909","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 : 2020-06-05DOI: 10.1109/TENSYMP50017.2020.9230465
Abdullah Al Monsur, Atika Rahman Paddo, F. M. Mohammedy
The world is advancing towards a great future where the demand of electricity is rising day by day. In order to cope up with this rising demand, more power plants are commissioned. Most of the power plants use fossil fuel to produce electricity, hence are subjected to emissions to air, water and soil. This study uses life cycle assessment approach to measure the greenhouse gas (GHG) emission and its impact on global warming as well as to analyze the effect on climate change per unit kWh of electricity produced in a natural gas thermal power plant in the context of Bangladesh. The plant studied here comprises of different types of units and uses natural gas as fuel. The methods used in the analysis are CML 2001 and Eco-Indicator 99(H). The total GHG emission and climate change potential (CCP) from the natural gas thermal power plant were respectively 0.529 kg CO2 eq/kWh and 1.51E-8 DALY/kWh electricity generation. This study also shows that a natural gas combined cycle unit emits less greenhouse gas than any gas engine unit or modular unit.
世界正在走向一个伟大的未来，对电力的需求日益增加。为了应付不断增长的需求，更多的发电厂投入使用。大多数发电厂使用化石燃料发电，因此排放到空气、水和土壤中。本研究使用生命周期评估方法来测量温室气体(GHG)排放及其对全球变暖的影响，并分析孟加拉国天然气热电厂每单位千瓦时发电对气候变化的影响。这里研究的工厂包括不同类型的单元，并使用天然气作为燃料。分析方法为CML 2001和Eco-Indicator 99(H)。天然气热电厂的温室气体排放总量和气候变化潜势(CCP)分别为0.529 kg CO2当量/kWh和1.51E-8 DALY/kWh发电。该研究还表明，天然气联合循环装置比任何燃气发动机装置或模块化装置排放的温室气体更少。
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