Pub Date : 2021-11-27DOI: 10.1109/ICECIE52348.2021.9664734
Anojan Selvarajan, Devika Sethu
The novel Coronavirus spread has affected our normal lifestyles enormously. People are living with a daily fright of exposing themselves to this deadly virus. Even though vaccines are being given to the general public worldwide, precautions have to be taken to reduce the spread of the virus. Wearing masks, social distancing and regular hand sanitizing are some of the preventive measures that are recommended by the World Health Organization. At most of the public places, non-contact thermometers are being used to monitor the temperature of each person and then they are asked to sanitize or wash their hands at the entrance. Other than temperature screening and sanitization practices, wearing face masks plays significant role in reducing the virus spread. At the entrance of public places, an officer checks if everyone entering the building is wearing face masks. However, the officers who are working at the temperature screening points and sanitization stations have a high risk of COVID-19 exposure. Hence there is a need for a system which can check if everyone entering the building are wearing masks automatically at the entrance. The system should also have the ability to monitor the body temperature and give access to people with normal body temperature level to enter the building. KLENSE is a smart device which can monitor the body temperature, check for face masks and dispense a regulated amount of sanitizer liquid automatically. KLENSE primarily checks for face masks, then monitors the temperature and finally controls the barrier or automatic door connected to it, to give access to the people with normal body temperature.
{"title":"Design and Development of a Smart Device to Combat COVID-19","authors":"Anojan Selvarajan, Devika Sethu","doi":"10.1109/ICECIE52348.2021.9664734","DOIUrl":"https://doi.org/10.1109/ICECIE52348.2021.9664734","url":null,"abstract":"The novel Coronavirus spread has affected our normal lifestyles enormously. People are living with a daily fright of exposing themselves to this deadly virus. Even though vaccines are being given to the general public worldwide, precautions have to be taken to reduce the spread of the virus. Wearing masks, social distancing and regular hand sanitizing are some of the preventive measures that are recommended by the World Health Organization. At most of the public places, non-contact thermometers are being used to monitor the temperature of each person and then they are asked to sanitize or wash their hands at the entrance. Other than temperature screening and sanitization practices, wearing face masks plays significant role in reducing the virus spread. At the entrance of public places, an officer checks if everyone entering the building is wearing face masks. However, the officers who are working at the temperature screening points and sanitization stations have a high risk of COVID-19 exposure. Hence there is a need for a system which can check if everyone entering the building are wearing masks automatically at the entrance. The system should also have the ability to monitor the body temperature and give access to people with normal body temperature level to enter the building. KLENSE is a smart device which can monitor the body temperature, check for face masks and dispense a regulated amount of sanitizer liquid automatically. KLENSE primarily checks for face masks, then monitors the temperature and finally controls the barrier or automatic door connected to it, to give access to the people with normal body temperature.","PeriodicalId":309754,"journal":{"name":"2021 3rd International Conference on Electrical, Control and Instrumentation Engineering (ICECIE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125541448","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 : 2021-11-27DOI: 10.1109/ICECIE52348.2021.9664674
Anju Pradeep, Devika T. A, Hana Abdul Rasheed, K. P, Salahudeen N. S, Muhammad Ijas
In this paper a method is proposed for Intravenous (IV) fluid level monitoring, using the signal from the Wi-Fi modem. Wi-Fi signal is allowed to incident on the IV fluid container embedded with metamaterial array that act as signal reflector. The reflected Wi-Fi signal is captured by the reader and is analyzed based on a threshold value set for indicating the level of the container. Reader consists of a rectenna and amplifier circuit which convert Wi-Fi signal to DC voltage. This output DC voltage is further processed to monitor the level of the IV container to a remote location using wireless communication protocols.
{"title":"IV Bottle Level Monitoring System","authors":"Anju Pradeep, Devika T. A, Hana Abdul Rasheed, K. P, Salahudeen N. S, Muhammad Ijas","doi":"10.1109/ICECIE52348.2021.9664674","DOIUrl":"https://doi.org/10.1109/ICECIE52348.2021.9664674","url":null,"abstract":"In this paper a method is proposed for Intravenous (IV) fluid level monitoring, using the signal from the Wi-Fi modem. Wi-Fi signal is allowed to incident on the IV fluid container embedded with metamaterial array that act as signal reflector. The reflected Wi-Fi signal is captured by the reader and is analyzed based on a threshold value set for indicating the level of the container. Reader consists of a rectenna and amplifier circuit which convert Wi-Fi signal to DC voltage. This output DC voltage is further processed to monitor the level of the IV container to a remote location using wireless communication protocols.","PeriodicalId":309754,"journal":{"name":"2021 3rd International Conference on Electrical, Control and Instrumentation Engineering (ICECIE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121844185","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 : 2021-11-27DOI: 10.1109/ICECIE52348.2021.9664658
S.A.D.L.V. Senarathna, S.P.Y.A.A. Piyumal, R. Hirshan, W. Kumara
Lung cancer is one of the most common and dangerous cancers in the world. However, lives can be saved through early diagnosis by CT scan images, which is the best imaging technique in the medical field for early treatment. Though CT scan imaging is the best technique, doctors and radiologists face some difficulties such as not being able to diagnose early and commence treatment and to interpret and identify cancer from CT scan images because of the limitation of equipment and specialists. Therefore, to identify the cancerous cells accurately, computer-aided diagnosis can be more helpful for doctors. Computer-aided techniques based on image processing and machine learning have been extensively researched, and are being implemented currently to address this issue. This research is mainly focused on evaluating and analyzing the different computer-aided techniques, find out their limitations and drawbacks and finally, propose a new model with improvements. In the methodology section of this research, lung cancer detection techniques were sorted and listed based on their detection accuracy. The techniques were analyzed on each step, and overall limitations and disadvantages were pointed out. It is found that some techniques have low accuracy and some have higher accuracy, but not nearer to 100%. Therefore, our project target is to make a lung cancer detection model using CT scan images with high accuracy and predicting the lung cancer stage.
{"title":"Lung Cancer Detection and Prediction of Cancer Stages Using Image Processing","authors":"S.A.D.L.V. Senarathna, S.P.Y.A.A. Piyumal, R. Hirshan, W. Kumara","doi":"10.1109/ICECIE52348.2021.9664658","DOIUrl":"https://doi.org/10.1109/ICECIE52348.2021.9664658","url":null,"abstract":"Lung cancer is one of the most common and dangerous cancers in the world. However, lives can be saved through early diagnosis by CT scan images, which is the best imaging technique in the medical field for early treatment. Though CT scan imaging is the best technique, doctors and radiologists face some difficulties such as not being able to diagnose early and commence treatment and to interpret and identify cancer from CT scan images because of the limitation of equipment and specialists. Therefore, to identify the cancerous cells accurately, computer-aided diagnosis can be more helpful for doctors. Computer-aided techniques based on image processing and machine learning have been extensively researched, and are being implemented currently to address this issue. This research is mainly focused on evaluating and analyzing the different computer-aided techniques, find out their limitations and drawbacks and finally, propose a new model with improvements. In the methodology section of this research, lung cancer detection techniques were sorted and listed based on their detection accuracy. The techniques were analyzed on each step, and overall limitations and disadvantages were pointed out. It is found that some techniques have low accuracy and some have higher accuracy, but not nearer to 100%. Therefore, our project target is to make a lung cancer detection model using CT scan images with high accuracy and predicting the lung cancer stage.","PeriodicalId":309754,"journal":{"name":"2021 3rd International Conference on Electrical, Control and Instrumentation Engineering (ICECIE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126800011","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 : 2021-11-27DOI: 10.1109/ICECIE52348.2021.9664744
Haitao Liu, Zongpu Geng, Kuangyi Zhang, Huajun Yuan, Xiaoyi Ye
Newton method is the core algorithm in most of the multi energy flow calculation of the integrated electricity-gas system, which has initial value sensitivity problem. There is no effective initial value calculation method at present for the natural gas subsystem which is difficult to converge in the integrated energy system with flat start up. In view of this, in this paper, by combining the Differential Evolution Algorithm with the ability of global optimization and Newton convergence law, the DE method termination condition based on parameter convergence operator is derived, and a hybrid DE-Newton method for energy flow calculation of integrated electricity-gas system is proposed. The hybrid DE-Newton method utilizes the global search ability of differential evolution algorithm, which can quickly get reasonable initial value of natural gas system with better convergence, and effectively improve the convergence problem of Newton method with flat start up while maintaining high calculation efficiency. The feasibility and superiority of the proposed method are verified by two examples of 6-node natural gas system and 15-node integrated electricity-gas system.
{"title":"An initial value selection method based on hybrid DE-Newton for energy flow calculation of the electricity-gas integrated energy system","authors":"Haitao Liu, Zongpu Geng, Kuangyi Zhang, Huajun Yuan, Xiaoyi Ye","doi":"10.1109/ICECIE52348.2021.9664744","DOIUrl":"https://doi.org/10.1109/ICECIE52348.2021.9664744","url":null,"abstract":"Newton method is the core algorithm in most of the multi energy flow calculation of the integrated electricity-gas system, which has initial value sensitivity problem. There is no effective initial value calculation method at present for the natural gas subsystem which is difficult to converge in the integrated energy system with flat start up. In view of this, in this paper, by combining the Differential Evolution Algorithm with the ability of global optimization and Newton convergence law, the DE method termination condition based on parameter convergence operator is derived, and a hybrid DE-Newton method for energy flow calculation of integrated electricity-gas system is proposed. The hybrid DE-Newton method utilizes the global search ability of differential evolution algorithm, which can quickly get reasonable initial value of natural gas system with better convergence, and effectively improve the convergence problem of Newton method with flat start up while maintaining high calculation efficiency. The feasibility and superiority of the proposed method are verified by two examples of 6-node natural gas system and 15-node integrated electricity-gas system.","PeriodicalId":309754,"journal":{"name":"2021 3rd International Conference on Electrical, Control and Instrumentation Engineering (ICECIE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123456182","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 : 2021-11-27DOI: 10.1109/ICECIE52348.2021.9664692
S. Dorji, D. Lhamo, Sheda Dorji, D. Tshering, Sonam Tobjay
In this project, we evaluate and design a mini-antenna for mobile network amplification to boost the cellular signal for better network in a region. The current LTE network is a necessary tool in today’s time, but everyplace does not necessarily have strong network to carry out daily video demands and internet surfing. This mini-antenna system consists of a high gain outdoor Yagi Uda antenna to receive the LTE signal of 1800 MHz and a patch panel indoor antenna, the signal received by the high gain antenna will go into a directional signal booster system where the signal enters into amplification process and comes out with greater strength and power. The patch panel antenna then retransmits it in an omni-directional radiation pattern in demand for that area, hence boosting the network in that area. Since the system receives the weaker signal and amplifies it, it is not implemented in the area with no signal occurrence at all.
{"title":"Mini Signal Booster for LTE Network","authors":"S. Dorji, D. Lhamo, Sheda Dorji, D. Tshering, Sonam Tobjay","doi":"10.1109/ICECIE52348.2021.9664692","DOIUrl":"https://doi.org/10.1109/ICECIE52348.2021.9664692","url":null,"abstract":"In this project, we evaluate and design a mini-antenna for mobile network amplification to boost the cellular signal for better network in a region. The current LTE network is a necessary tool in today’s time, but everyplace does not necessarily have strong network to carry out daily video demands and internet surfing. This mini-antenna system consists of a high gain outdoor Yagi Uda antenna to receive the LTE signal of 1800 MHz and a patch panel indoor antenna, the signal received by the high gain antenna will go into a directional signal booster system where the signal enters into amplification process and comes out with greater strength and power. The patch panel antenna then retransmits it in an omni-directional radiation pattern in demand for that area, hence boosting the network in that area. Since the system receives the weaker signal and amplifies it, it is not implemented in the area with no signal occurrence at all.","PeriodicalId":309754,"journal":{"name":"2021 3rd International Conference on Electrical, Control and Instrumentation Engineering (ICECIE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121649813","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 : 2021-11-27DOI: 10.1109/ICECIE52348.2021.9664709
M. R. Siddiqi, R. Jazar, H. Marzbani, Chunyun Fu
For a century motion sickness has existed to trouble the common passenger of land vehicles with varying symptoms such as; fatigue, eyestrain, sweating, nausea, dizziness, drowsiness, headaches, vertigo and vomiting. This will be an ongoing dilemma for the future passengers of fully autonomous land vehicles which might affect the commercial uptake of this technology. Non-driving passenger activities such as watching a movie, or even rotating their seats to converse to one another would lead to greater levels of motion sickness in passengers than ever before, as the three main receptors of our balance (vision, vestibular and proprioceptors) will get triggered unevenly leading to a dis-co-ordination with our central nervous system. However, with emerging technologies and state of the art controllers; automated driving can be made seamless by perfecting maneuvers known to cause motion sickness (cornering maneuver). Key lies in reducing the impacts of lateral acceleration and roll on passengers by limiting those forces generated by the vehicle in the first place, specifically while cornering. The present study investigates different control strategies with various controllers such as; (1) The traditional Proportional-Integral-Derivative (PID) controllers, (2) Fuzzy Logic controllers (FLC) and (3) the use of Model Predictive Controller (MPC) to mitigate motion sickness of passengers by maximizing handling comfort and minimizing motion sickness and postural instability. The study draws an ideal path using a 3-pt NURBS curve over a reference track, that is designed considering various components of motion sickness (motion sickness thresholds). The effects on motion sickness reduction, using various control strategies with the mentioned controllers are then studied by numerically comparing results in terms of Fast Fourier Transform (FFT) of the frequency spectrum of steering angles, Motion sickness Dosage Value (MSDV) of the vehicle’s lateral acceleration and Motion Sickness Incidence (MSI) of the head tilt angles of the passengers during the cornering maneuver. Consequently, the findings are used to propose potential guidelines for design of new infrastructure which are specifically built for an autonomous transportation future.
{"title":"Minimizing Motion Sickness In Autonomous Vehicles; A Hybrid Approach","authors":"M. R. Siddiqi, R. Jazar, H. Marzbani, Chunyun Fu","doi":"10.1109/ICECIE52348.2021.9664709","DOIUrl":"https://doi.org/10.1109/ICECIE52348.2021.9664709","url":null,"abstract":"For a century motion sickness has existed to trouble the common passenger of land vehicles with varying symptoms such as; fatigue, eyestrain, sweating, nausea, dizziness, drowsiness, headaches, vertigo and vomiting. This will be an ongoing dilemma for the future passengers of fully autonomous land vehicles which might affect the commercial uptake of this technology. Non-driving passenger activities such as watching a movie, or even rotating their seats to converse to one another would lead to greater levels of motion sickness in passengers than ever before, as the three main receptors of our balance (vision, vestibular and proprioceptors) will get triggered unevenly leading to a dis-co-ordination with our central nervous system. However, with emerging technologies and state of the art controllers; automated driving can be made seamless by perfecting maneuvers known to cause motion sickness (cornering maneuver). Key lies in reducing the impacts of lateral acceleration and roll on passengers by limiting those forces generated by the vehicle in the first place, specifically while cornering. The present study investigates different control strategies with various controllers such as; (1) The traditional Proportional-Integral-Derivative (PID) controllers, (2) Fuzzy Logic controllers (FLC) and (3) the use of Model Predictive Controller (MPC) to mitigate motion sickness of passengers by maximizing handling comfort and minimizing motion sickness and postural instability. The study draws an ideal path using a 3-pt NURBS curve over a reference track, that is designed considering various components of motion sickness (motion sickness thresholds). The effects on motion sickness reduction, using various control strategies with the mentioned controllers are then studied by numerically comparing results in terms of Fast Fourier Transform (FFT) of the frequency spectrum of steering angles, Motion sickness Dosage Value (MSDV) of the vehicle’s lateral acceleration and Motion Sickness Incidence (MSI) of the head tilt angles of the passengers during the cornering maneuver. Consequently, the findings are used to propose potential guidelines for design of new infrastructure which are specifically built for an autonomous transportation future.","PeriodicalId":309754,"journal":{"name":"2021 3rd International Conference on Electrical, Control and Instrumentation Engineering (ICECIE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133623249","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 : 2021-11-27DOI: 10.1109/ICECIE52348.2021.9664741
Saiful Azlan Rosli, Azmir Ahmad, Cosette YW Hoe, Ai-Hong Chen
Normal population has an average acuity of 6/6 or better, depending on age and other factors. However, super acuity phenomena have been frequently reported among indigenous people in numerous parts of the world. Up to now, far too little attention has been paid to develop specific letter charts to quantify super acuity. Most of the letter charts are fabricated to estimate recognition acuity up to 6/6. This paper describes a new letter chart for super acuity investigation of indigenous people with three distinct features. UiTM Chen-Azmir-Saiful-Hoe (UCASH) is a super-acuity letter chart designed to quantify the recognition acuity up to 3/0.5 or 6/1 Snellen Notation. UCASH is constructed using single letter display design for a 3-meter testing distance. Four neighbouring contour bars are incorporated to simulate crowding effect and control the accommodation during acuity measurements. Each acuity level of UCASH has an equal optotype combination that takes into consideration the optical blur from spherical, against-the-rule astigmatism; with-the-rule astigmatism; and oblique astigmatism defocus stimulation. UCASH involves two letters from 3/30 to 3/15 or 6/60 to 6/30 of Snellen Notations and five letters from 3/12 to 3/0.5 or 6/24 to 6/1 of Snellen Notations. UCASH is available in both hardcopy printout and electronic versions. The electronic option allows data to be automatically converted and formatted in spreadsheet outputs. The electronic mode saves chair-times and overcomes data loss, insufficient physical storage, and paper waste issues. UCASH is a useful super-acuity investigation tool for indigenous people who usually reside in extreme remote locations worldwide.
{"title":"UCASH: A New Letter Chart for Super Acuity Investigation of Indigenous People","authors":"Saiful Azlan Rosli, Azmir Ahmad, Cosette YW Hoe, Ai-Hong Chen","doi":"10.1109/ICECIE52348.2021.9664741","DOIUrl":"https://doi.org/10.1109/ICECIE52348.2021.9664741","url":null,"abstract":"Normal population has an average acuity of 6/6 or better, depending on age and other factors. However, super acuity phenomena have been frequently reported among indigenous people in numerous parts of the world. Up to now, far too little attention has been paid to develop specific letter charts to quantify super acuity. Most of the letter charts are fabricated to estimate recognition acuity up to 6/6. This paper describes a new letter chart for super acuity investigation of indigenous people with three distinct features. UiTM Chen-Azmir-Saiful-Hoe (UCASH) is a super-acuity letter chart designed to quantify the recognition acuity up to 3/0.5 or 6/1 Snellen Notation. UCASH is constructed using single letter display design for a 3-meter testing distance. Four neighbouring contour bars are incorporated to simulate crowding effect and control the accommodation during acuity measurements. Each acuity level of UCASH has an equal optotype combination that takes into consideration the optical blur from spherical, against-the-rule astigmatism; with-the-rule astigmatism; and oblique astigmatism defocus stimulation. UCASH involves two letters from 3/30 to 3/15 or 6/60 to 6/30 of Snellen Notations and five letters from 3/12 to 3/0.5 or 6/24 to 6/1 of Snellen Notations. UCASH is available in both hardcopy printout and electronic versions. The electronic option allows data to be automatically converted and formatted in spreadsheet outputs. The electronic mode saves chair-times and overcomes data loss, insufficient physical storage, and paper waste issues. UCASH is a useful super-acuity investigation tool for indigenous people who usually reside in extreme remote locations worldwide.","PeriodicalId":309754,"journal":{"name":"2021 3rd International Conference on Electrical, Control and Instrumentation Engineering (ICECIE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127124730","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 : 2021-11-27DOI: 10.1109/ICECIE52348.2021.9664722
R. Wijesiriwardana, M. Vignarajah, P. Kathirgamanathan, G. Janith
Effectiveness of using thicker ethylene vinyl acetate (EVA) foam based slippers to reduce the whole body vibrations(WBV) of passengers travelling in Sri Lankan public transport buses is presented. It was observed that wearing regular slippers cannot bring the WBV to safer levels according to the ISO 2631 standard, primarily due to the thickness limitations. The vibration radiation exposure was estimated by measuring the vibration dosage value (VDV) levels. Also experimented the effect of the bus speed on the VDV. Tri-axial accelerations readings on the floor, between the slipper and the foot and top of the foot were measured by using tri axial accelerometers at a particular steady bus speed and a selected slipper thickness. Nonlinear finite element based static deformations and dynamic forced acceleration models were developed for obtaining the pre-acceleration deformed state and estimating accelerations of the slipper and the foot with respect to the forced accelerations on the bus floor. Nonlinear effects of hyperelastic and viscoelastic nature of EVA foam and human tissues were used.
{"title":"Study of Wearing EVA Foam Slippers for Reducing Whole Body Vibrations of Bus Passengers","authors":"R. Wijesiriwardana, M. Vignarajah, P. Kathirgamanathan, G. Janith","doi":"10.1109/ICECIE52348.2021.9664722","DOIUrl":"https://doi.org/10.1109/ICECIE52348.2021.9664722","url":null,"abstract":"Effectiveness of using thicker ethylene vinyl acetate (EVA) foam based slippers to reduce the whole body vibrations(WBV) of passengers travelling in Sri Lankan public transport buses is presented. It was observed that wearing regular slippers cannot bring the WBV to safer levels according to the ISO 2631 standard, primarily due to the thickness limitations. The vibration radiation exposure was estimated by measuring the vibration dosage value (VDV) levels. Also experimented the effect of the bus speed on the VDV. Tri-axial accelerations readings on the floor, between the slipper and the foot and top of the foot were measured by using tri axial accelerometers at a particular steady bus speed and a selected slipper thickness. Nonlinear finite element based static deformations and dynamic forced acceleration models were developed for obtaining the pre-acceleration deformed state and estimating accelerations of the slipper and the foot with respect to the forced accelerations on the bus floor. Nonlinear effects of hyperelastic and viscoelastic nature of EVA foam and human tissues were used.","PeriodicalId":309754,"journal":{"name":"2021 3rd International Conference on Electrical, Control and Instrumentation Engineering (ICECIE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128901662","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 : 2021-11-27DOI: 10.1109/ICECIE52348.2021.9664697
Moeng Sakmar, Suyoto
Hoax is invalid information and is made as if it is valid, which is circulating in the community. Hoax news is often used or be a justification by sovereignty. The increase in hoax information is also in line with the increasing number of internet users in Indonesia. According to the Ministry of Communication and Information (Kominfo), data is at 132.7 million users. Based on other Kominfo data, there are around 800,000 sites that have been indicated as spreading hoax information that could apply to the entire community. This research aims to reduce the hoax spread in the community, and this system is built using AI, Chatbot, and mobile-based. It is hoped that the results will be able to reduce hoax issues only by using a smartphone.
{"title":"Hoax Mitigation on Village Using Mobile App-Based AI Chatbot","authors":"Moeng Sakmar, Suyoto","doi":"10.1109/ICECIE52348.2021.9664697","DOIUrl":"https://doi.org/10.1109/ICECIE52348.2021.9664697","url":null,"abstract":"Hoax is invalid information and is made as if it is valid, which is circulating in the community. Hoax news is often used or be a justification by sovereignty. The increase in hoax information is also in line with the increasing number of internet users in Indonesia. According to the Ministry of Communication and Information (Kominfo), data is at 132.7 million users. Based on other Kominfo data, there are around 800,000 sites that have been indicated as spreading hoax information that could apply to the entire community. This research aims to reduce the hoax spread in the community, and this system is built using AI, Chatbot, and mobile-based. It is hoped that the results will be able to reduce hoax issues only by using a smartphone.","PeriodicalId":309754,"journal":{"name":"2021 3rd International Conference on Electrical, Control and Instrumentation Engineering (ICECIE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124601818","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 : 2021-11-27DOI: 10.1109/ICECIE52348.2021.9664711
R. Y. Hou
Road conditions are one of the significant threats to driving safety for autonomous vehicles. The perception of road conditions is challenging because they are time-sensitive and location-sensitive. The existing solution is to integrate many advanced sensors into an autonomous vehicle to sense the surrounding in a real-time manner. The consequence is that data collection and integration could also be problematic because they are from various sources; some may not be accurate or consistent. This study proposes a P2P-based algorithm to dynamically and accurately measure road conditions through Mobile Vehicular Networks without human intervention. The measured road conditions may change with time. Then we propose a data management algorithm to maintain their data quality at a high level. To allow vehicles to assess the risk of the road conditions quantitatively, we develop an integrated risk indicator for each identified road condition. Autonomous vehicles use the risk indicators to avoid potential troubles during path selection. The ultimate objective is to minimize the risk for a trip under the travel time constraint. We used simulations to evaluate the effectiveness of the proposed algorithms. The results showed that the proposed algorithm could achieve reasonably good measurement reliability when 85% of vehicles or above work correctly. We also simulated the efficiency of path selection. We found that an optimal path can be found in a directed graph with 100 vertices in 10ms by using an ordinary PC.
{"title":"P2P-Based Identification, Update, and Validation of Road Conditions in Vehicular Networks","authors":"R. Y. Hou","doi":"10.1109/ICECIE52348.2021.9664711","DOIUrl":"https://doi.org/10.1109/ICECIE52348.2021.9664711","url":null,"abstract":"Road conditions are one of the significant threats to driving safety for autonomous vehicles. The perception of road conditions is challenging because they are time-sensitive and location-sensitive. The existing solution is to integrate many advanced sensors into an autonomous vehicle to sense the surrounding in a real-time manner. The consequence is that data collection and integration could also be problematic because they are from various sources; some may not be accurate or consistent. This study proposes a P2P-based algorithm to dynamically and accurately measure road conditions through Mobile Vehicular Networks without human intervention. The measured road conditions may change with time. Then we propose a data management algorithm to maintain their data quality at a high level. To allow vehicles to assess the risk of the road conditions quantitatively, we develop an integrated risk indicator for each identified road condition. Autonomous vehicles use the risk indicators to avoid potential troubles during path selection. The ultimate objective is to minimize the risk for a trip under the travel time constraint. We used simulations to evaluate the effectiveness of the proposed algorithms. The results showed that the proposed algorithm could achieve reasonably good measurement reliability when 85% of vehicles or above work correctly. We also simulated the efficiency of path selection. We found that an optimal path can be found in a directed graph with 100 vertices in 10ms by using an ordinary PC.","PeriodicalId":309754,"journal":{"name":"2021 3rd International Conference on Electrical, Control and Instrumentation Engineering (ICECIE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132090159","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：