Pub Date : 2019-10-01DOI: 10.1109/ICOM47790.2019.8952052
E. Jones, Dakota Adra, Md. Suruz Miah
This paper presents a new multi-agent framework using open-source software (MAFOSS). The proposed framework is a modular and cost-effective open-source hardware and software platform that is intended to help develop multiagent systems for research and education. Numerous multi-agent platforms have been developed in the literature to date that are used in various robotic applications, such as surveillance, target localization, cooperative estimation, among others. However, most of them are either tailored towards particular applications or driven by expensive software and hardware. The proposed MAFOSS system is developed for robotic applications, where a team of mobile agents (robots) is deployed to achieve a common goal. A major contribution of the MAFOSS system is the development of an open-hardware platform for differential-drive mobile robots (herein called “eduMOD” mobile robots). The software architecture of the current framework mostly relies on the robot operating system (ROS). Regardless of internal hardware and/or software architecture, appropriate actions can be applied to actuators of an individual or a team of mobile agents for controlling their motions. A few case studies have been conducted to evaluate the performance of MAFOSS.
{"title":"MAFOSS: Multi-Agent Framework using Open-Source Software","authors":"E. Jones, Dakota Adra, Md. Suruz Miah","doi":"10.1109/ICOM47790.2019.8952052","DOIUrl":"https://doi.org/10.1109/ICOM47790.2019.8952052","url":null,"abstract":"This paper presents a new multi-agent framework using open-source software (MAFOSS). The proposed framework is a modular and cost-effective open-source hardware and software platform that is intended to help develop multiagent systems for research and education. Numerous multi-agent platforms have been developed in the literature to date that are used in various robotic applications, such as surveillance, target localization, cooperative estimation, among others. However, most of them are either tailored towards particular applications or driven by expensive software and hardware. The proposed MAFOSS system is developed for robotic applications, where a team of mobile agents (robots) is deployed to achieve a common goal. A major contribution of the MAFOSS system is the development of an open-hardware platform for differential-drive mobile robots (herein called “eduMOD” mobile robots). The software architecture of the current framework mostly relies on the robot operating system (ROS). Regardless of internal hardware and/or software architecture, appropriate actions can be applied to actuators of an individual or a team of mobile agents for controlling their motions. A few case studies have been conducted to evaluate the performance of MAFOSS.","PeriodicalId":415914,"journal":{"name":"2019 7th International Conference on Mechatronics Engineering (ICOM)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116803129","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 : 2019-10-01DOI: 10.1109/ICOM47790.2019.8952034
Wan Ahmad Bin Wan Azhar, T. Saleh
One of the demanding manufacturing processes nowadays is Micro-EDM. Micro-EDM stands for Micro Electrical Discharge Machining. A low discharge energy per pulse is important to achieve micro-level machining by controlling parameters such as gap voltage and type of power supply. Furthermore, developing a Micro-EDM machine is time-consuming and complex. Generally, the power supply unit is built along with the development of the EDM machine and it is not sold separately in the market. Therefore, the purpose of this research is to develop and evaluate a modular power supply unit that is compatible with any EDM or CNC machine for micro machining. The power supply unit is based on Resistor-Capacitor (RC) power supply with the options to vary the output voltage and the capacitance value. In addition, the current is monitored using micro-controller ATmega328p to provide options for short circuit current detection levels. A prototype of a Micro-EDM machine is built for the evaluation of the power supply. Performance evaluations of the power supply are conducted with through-holes drilling by studying the machining time, MRR, diametrical overcut and taper angle with a different variation of gap voltage, RC's capacitance, and short circuit current detection level. The evaluation results show that the power supply is capable to perform Micro-EDM machining. The power supply can deliver power up to 360 W. During the discharging, the peak current is recorded to spike up to 7A. The discharge energy per pulse can easily be controlled by changing the output voltage and the RC's capacitance. It is found that at lower discharge energy per pulse, the peak current is lower resulting improvement in MRR, diametrical overcut and taper angle at cost of longer machining time. Furthermore, short circuit current detection level results indicate that machining time is reduced by approximately 5 minutes for every 20 percent increase of the detection level.
{"title":"Development and Performance Evaluation of Modular RC-based Power Supply for Micro-EDM","authors":"Wan Ahmad Bin Wan Azhar, T. Saleh","doi":"10.1109/ICOM47790.2019.8952034","DOIUrl":"https://doi.org/10.1109/ICOM47790.2019.8952034","url":null,"abstract":"One of the demanding manufacturing processes nowadays is Micro-EDM. Micro-EDM stands for Micro Electrical Discharge Machining. A low discharge energy per pulse is important to achieve micro-level machining by controlling parameters such as gap voltage and type of power supply. Furthermore, developing a Micro-EDM machine is time-consuming and complex. Generally, the power supply unit is built along with the development of the EDM machine and it is not sold separately in the market. Therefore, the purpose of this research is to develop and evaluate a modular power supply unit that is compatible with any EDM or CNC machine for micro machining. The power supply unit is based on Resistor-Capacitor (RC) power supply with the options to vary the output voltage and the capacitance value. In addition, the current is monitored using micro-controller ATmega328p to provide options for short circuit current detection levels. A prototype of a Micro-EDM machine is built for the evaluation of the power supply. Performance evaluations of the power supply are conducted with through-holes drilling by studying the machining time, MRR, diametrical overcut and taper angle with a different variation of gap voltage, RC's capacitance, and short circuit current detection level. The evaluation results show that the power supply is capable to perform Micro-EDM machining. The power supply can deliver power up to 360 W. During the discharging, the peak current is recorded to spike up to 7A. The discharge energy per pulse can easily be controlled by changing the output voltage and the RC's capacitance. It is found that at lower discharge energy per pulse, the peak current is lower resulting improvement in MRR, diametrical overcut and taper angle at cost of longer machining time. Furthermore, short circuit current detection level results indicate that machining time is reduced by approximately 5 minutes for every 20 percent increase of the detection level.","PeriodicalId":415914,"journal":{"name":"2019 7th International Conference on Mechatronics Engineering (ICOM)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114590050","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 : 2019-10-01DOI: 10.1109/ICOM47790.2019.8952053
Afsah Sharmin, F. Anwar, S. Motakabber
Efficient routing is an essential requirement for the design of wireless sensor network (WSN) protocols to overcome inherent challenges and to meet hardware and resource constraints. An energy-efficient scalable routing algorithm based on ant colony optimization (ACO) for WSNs is presented here to find the optimal path of data transmission while consuming less energy leading to increase of network's lifetime. Most of the existing ACO based routing algorithms are designed on the assumption that the sensor nodes and the sinks are stationary and do not consider the overhead of mobility and the current node energy is not considered, which will prompt sudden passing of certain nodes. To overcome the existing problem of accommodating node mobility, reducing initialization time for ant based routing algorithm and to maintain scalability in WSN for time critical applications, an ACO based WSN routing algorithm has been proposed and analyzed in this paper. The proposed algorithm has been simulated and verified utilizing MATLAB. The evaluation results demonstrate that it has reduced energy consumption, almost 50% less consumed energy even with the increasing number of nodes, compared with the traditional ACO and an existing ant-based routing algorithm. Moreover, it increases the nodes' lifetime and lifetime of the network.
{"title":"Energy-Efficient Scalable Routing Protocol Based on ACO for WSNs","authors":"Afsah Sharmin, F. Anwar, S. Motakabber","doi":"10.1109/ICOM47790.2019.8952053","DOIUrl":"https://doi.org/10.1109/ICOM47790.2019.8952053","url":null,"abstract":"Efficient routing is an essential requirement for the design of wireless sensor network (WSN) protocols to overcome inherent challenges and to meet hardware and resource constraints. An energy-efficient scalable routing algorithm based on ant colony optimization (ACO) for WSNs is presented here to find the optimal path of data transmission while consuming less energy leading to increase of network's lifetime. Most of the existing ACO based routing algorithms are designed on the assumption that the sensor nodes and the sinks are stationary and do not consider the overhead of mobility and the current node energy is not considered, which will prompt sudden passing of certain nodes. To overcome the existing problem of accommodating node mobility, reducing initialization time for ant based routing algorithm and to maintain scalability in WSN for time critical applications, an ACO based WSN routing algorithm has been proposed and analyzed in this paper. The proposed algorithm has been simulated and verified utilizing MATLAB. The evaluation results demonstrate that it has reduced energy consumption, almost 50% less consumed energy even with the increasing number of nodes, compared with the traditional ACO and an existing ant-based routing algorithm. Moreover, it increases the nodes' lifetime and lifetime of the network.","PeriodicalId":415914,"journal":{"name":"2019 7th International Conference on Mechatronics Engineering (ICOM)","volume":"34 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128601430","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 : 2019-10-01DOI: 10.1109/ICOM47790.2019.8952035
Osamah Abdulrahman Almansari, N. Hashim
The challenges that face the handwritten Arabic recognition are overwhelming such as different varieties of handwriting and few public databases available. Also, teaching the non-Arabic speaker at the young age is very difficult due to the unfamiliarity of the words and meanings. So, this project is focused on building a model of a deep learning architecture with convolutional neural network (CNN) and multilayer perceptron (MLP) neural network by using python programming language. This project analyzes the performance of a public database which is Arabic Handwritten Characters Dataset (AHCD). However, training this database with CNN model has achieved a test accuracy of 95.27% while training it with MLP model achieved 72.08%. Therefore, the CNN model is suitable to be used in the application device.
{"title":"Recognition of Isolated Handwritten Arabic Characters","authors":"Osamah Abdulrahman Almansari, N. Hashim","doi":"10.1109/ICOM47790.2019.8952035","DOIUrl":"https://doi.org/10.1109/ICOM47790.2019.8952035","url":null,"abstract":"The challenges that face the handwritten Arabic recognition are overwhelming such as different varieties of handwriting and few public databases available. Also, teaching the non-Arabic speaker at the young age is very difficult due to the unfamiliarity of the words and meanings. So, this project is focused on building a model of a deep learning architecture with convolutional neural network (CNN) and multilayer perceptron (MLP) neural network by using python programming language. This project analyzes the performance of a public database which is Arabic Handwritten Characters Dataset (AHCD). However, training this database with CNN model has achieved a test accuracy of 95.27% while training it with MLP model achieved 72.08%. Therefore, the CNN model is suitable to be used in the application device.","PeriodicalId":415914,"journal":{"name":"2019 7th International Conference on Mechatronics Engineering (ICOM)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121490956","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 : 2019-10-01DOI: 10.1109/ICOM47790.2019.8952039
Muhammad Ikmal Hakim Shamsul Bahrin, H. Yusof, S. N. Sidek
It is very difficult for people with visual impairment and blindness to access visual information. Thus, tactile graphics became one of the alternatives to help them access maps, graphs, painting, illustration and other graphical materials. However, it is challenging to use tactile graphics. The blind and visually impaired people need to have good exploratory procedures and strategies to gather information tactually. In psychology, several studies have been conducted to clarify how people with visual impairment and blindness perform tactile graphics exploration. But the information is still insufficient, and the studies conducted usually relies on video observation. Therefore, to provide more insight on how people with visual impairment and blindness explore tactile graphics, a fingertip tracking system using Logitech Webcam and MATLAB software has been developed. The method of tracking the fingertips is by using colour markers detection. With the system, the position of the fingertips can be recorded and used for analyzing the tactile graphics exploration activities. It is aimed that this system can be a tool to visualize the cognitive process of people visual impairment and blindness explore tactile graphics materials.
{"title":"Tactile Graphics Exploration Studies Using Fingertip Tracking Based on Colour Markers Detection for Visually Impaired People","authors":"Muhammad Ikmal Hakim Shamsul Bahrin, H. Yusof, S. N. Sidek","doi":"10.1109/ICOM47790.2019.8952039","DOIUrl":"https://doi.org/10.1109/ICOM47790.2019.8952039","url":null,"abstract":"It is very difficult for people with visual impairment and blindness to access visual information. Thus, tactile graphics became one of the alternatives to help them access maps, graphs, painting, illustration and other graphical materials. However, it is challenging to use tactile graphics. The blind and visually impaired people need to have good exploratory procedures and strategies to gather information tactually. In psychology, several studies have been conducted to clarify how people with visual impairment and blindness perform tactile graphics exploration. But the information is still insufficient, and the studies conducted usually relies on video observation. Therefore, to provide more insight on how people with visual impairment and blindness explore tactile graphics, a fingertip tracking system using Logitech Webcam and MATLAB software has been developed. The method of tracking the fingertips is by using colour markers detection. With the system, the position of the fingertips can be recorded and used for analyzing the tactile graphics exploration activities. It is aimed that this system can be a tool to visualize the cognitive process of people visual impairment and blindness explore tactile graphics materials.","PeriodicalId":415914,"journal":{"name":"2019 7th International Conference on Mechatronics Engineering (ICOM)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130741270","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 : 2019-10-01DOI: 10.1109/ICOM47790.2019.8952007
F. E. Fajingbesi, A. Azman, Z. Ahmad, R. F. Olanrewaju, M. Ibrahimy, Y. M. Mustafah
Combating Pressure Ulcer (PU) prevalence have proven to be time and cost-intensive. Higher risk of morbidity is seen from slight negligence with immobilized subjects. Best PU prevention mostly revolves around constant pressure unloading once above 32mmHg which is detrimental on the blood capillaries and surrounding tissues. Thus, real-time pressure monitoring and unloading protocol are highly favored with PU at-risk patients. It may either be manual (Clinician/Caregivers following established protocols from PU Risk Assesment Tools (RATs)) or semi- to fully automated systems incorporating pressure monitoring devices. These existing pressure sensing systems are either rigid and or couldn't support full-time integration without increasing mechanical stress and shear force imposed upon contact interface due to their slippery polymeric surface material (PET/PVC/PDMS/PI etc) used for sensor packaging to increase flexibility and conformity on diverse surface shapes. They have similarly compromised on breathability and hydrophilic material selection conducive in pressure ulcer prevention and management. Although there have been results from recent research producing fully textile sensors, their cost and instability are still on the high side. Thus, this paper introduces rapid prototyping compatible low-cost PU prevention and management friendly textile pressure sensing device compatible with existing actuation or electrical stimulation system, which will relay in order to allow targeted pressure relief according to feedbacks from the pressure monitoring system. A prototype Flexi-semi breathable, piezoresistive pressure sensor matrix has been fabricated based on a polymeric foil (polyolefins) impregnated with carbon black (Velostat) sandwich between a pair of ultra-thin copper-lined bamboo fabric. With an overall height of about 800 µm, the surface area of 210 * 297 mm, a total of 140 pressure sensor nodes are enclosed evenly to measure pressure directly, without any deformation elements, such as in cantilever or a deformation membrane.
{"title":"Low Cost Piezoresistive Pressure Sensor Matrix for Pressure Ulcer Prevention and Management","authors":"F. E. Fajingbesi, A. Azman, Z. Ahmad, R. F. Olanrewaju, M. Ibrahimy, Y. M. Mustafah","doi":"10.1109/ICOM47790.2019.8952007","DOIUrl":"https://doi.org/10.1109/ICOM47790.2019.8952007","url":null,"abstract":"Combating Pressure Ulcer (PU) prevalence have proven to be time and cost-intensive. Higher risk of morbidity is seen from slight negligence with immobilized subjects. Best PU prevention mostly revolves around constant pressure unloading once above 32mmHg which is detrimental on the blood capillaries and surrounding tissues. Thus, real-time pressure monitoring and unloading protocol are highly favored with PU at-risk patients. It may either be manual (Clinician/Caregivers following established protocols from PU Risk Assesment Tools (RATs)) or semi- to fully automated systems incorporating pressure monitoring devices. These existing pressure sensing systems are either rigid and or couldn't support full-time integration without increasing mechanical stress and shear force imposed upon contact interface due to their slippery polymeric surface material (PET/PVC/PDMS/PI etc) used for sensor packaging to increase flexibility and conformity on diverse surface shapes. They have similarly compromised on breathability and hydrophilic material selection conducive in pressure ulcer prevention and management. Although there have been results from recent research producing fully textile sensors, their cost and instability are still on the high side. Thus, this paper introduces rapid prototyping compatible low-cost PU prevention and management friendly textile pressure sensing device compatible with existing actuation or electrical stimulation system, which will relay in order to allow targeted pressure relief according to feedbacks from the pressure monitoring system. A prototype Flexi-semi breathable, piezoresistive pressure sensor matrix has been fabricated based on a polymeric foil (polyolefins) impregnated with carbon black (Velostat) sandwich between a pair of ultra-thin copper-lined bamboo fabric. With an overall height of about 800 µm, the surface area of 210 * 297 mm, a total of 140 pressure sensor nodes are enclosed evenly to measure pressure directly, without any deformation elements, such as in cantilever or a deformation membrane.","PeriodicalId":415914,"journal":{"name":"2019 7th International Conference on Mechatronics Engineering (ICOM)","volume":"141 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121393550","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 : 2019-10-01DOI: 10.1109/ICOM47790.2019.8952042
I. M. Khairuddin, S. N. Sidek, A. P. Majeed, A. A. Puzi
The use of robotic systems has been investigated over the past couple of decades in improving rehabilitation training of hemiplegic patients. In an ideal situation, the system should be able to detect the intention of the subject and assist them as needed in performing certain training tasks. In this study, we leverage on the information from the electromyogram (EMG) signals, to detect the subject's intentions in generating motion commands for a robotic assisted upper limb rehabilitation system. As EMG signals are known for its very low amplitude apart from its susceptibility to noise, hence, signal processing is mandatory, and this step is non-trivial for feature extraction. The EMG signals are recorded from ten healthy subjects' bicep muscles, who are required to provide a voluntary movement of the elbow's flexion and extension along the sagittal plane. The signals are filtered by a fifth-order Butterworth filter. Several features were extracted from the filtered signals namely waveform length, mean absolute value, root mean square and standard deviation. Two different classifiers viz. Support Vector Machine (SVM) and k-Nearest Neighbour (k-NN) were investigated on its efficacy in accurately classifying the pre-intention and intention classes based on the selected features, and it was observed from this investigation that the k-NN classifier yielded a better classification with a classification accuracy of 96.4 %.
{"title":"Classifying Motion Intention from EMG signal: A k-NN Approach","authors":"I. M. Khairuddin, S. N. Sidek, A. P. Majeed, A. A. Puzi","doi":"10.1109/ICOM47790.2019.8952042","DOIUrl":"https://doi.org/10.1109/ICOM47790.2019.8952042","url":null,"abstract":"The use of robotic systems has been investigated over the past couple of decades in improving rehabilitation training of hemiplegic patients. In an ideal situation, the system should be able to detect the intention of the subject and assist them as needed in performing certain training tasks. In this study, we leverage on the information from the electromyogram (EMG) signals, to detect the subject's intentions in generating motion commands for a robotic assisted upper limb rehabilitation system. As EMG signals are known for its very low amplitude apart from its susceptibility to noise, hence, signal processing is mandatory, and this step is non-trivial for feature extraction. The EMG signals are recorded from ten healthy subjects' bicep muscles, who are required to provide a voluntary movement of the elbow's flexion and extension along the sagittal plane. The signals are filtered by a fifth-order Butterworth filter. Several features were extracted from the filtered signals namely waveform length, mean absolute value, root mean square and standard deviation. Two different classifiers viz. Support Vector Machine (SVM) and k-Nearest Neighbour (k-NN) were investigated on its efficacy in accurately classifying the pre-intention and intention classes based on the selected features, and it was observed from this investigation that the k-NN classifier yielded a better classification with a classification accuracy of 96.4 %.","PeriodicalId":415914,"journal":{"name":"2019 7th International Conference on Mechatronics Engineering (ICOM)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114425773","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 : 2019-10-01DOI: 10.1109/ICOM47790.2019.8952044
Mohd Aliff Mushthalib, H. Mansor, Z. Z. Abidin
Road accidents are one of the most common causes of death among Malaysian citizens. The common problem when accident happened is drivers often have inaccurate awareness of their location, especially on interurban roads or abroad. There are also victims who are injured or trapped and they may not be able to call emergency Call Centre. The scenario may be worsen if there are no witnesses or passersby near the victims to assist them. In order to decrease the rate of fatal accident in Malaysia, eCall system is proposed. The main objective of this research is to develop eCall system that can transmits a call to the public service answering point along with certain vehicle related information using microcomputer, GSM and GPS technologies. The eCall system is able to work automatically or manually depends on the victim's need. As such, collision detection and voice communication algorithm has been designed. For the collision detection, algorithm has been developed based on the data acquired from gyroscope and accelerometer. The location of incident has been identified using GSM cell phone and GPS location capability. The device has a corresponding infrastructure of Public Safety Answering Points (PSAPs) for the voice communication to inform the emergency emergency response unit about the accident, the level of seriousness and the location of the incident. The eCall prototype has successfully designed and developed. Experimental results shown that the prototype is able to detect collision, identify the GPS coordinates of the accident and able to transmit sound wave from speaker to microphone, to be forwarded to the emergency Call Centre.
{"title":"Development of eCall for Malaysia's Automotive Industries","authors":"Mohd Aliff Mushthalib, H. Mansor, Z. Z. Abidin","doi":"10.1109/ICOM47790.2019.8952044","DOIUrl":"https://doi.org/10.1109/ICOM47790.2019.8952044","url":null,"abstract":"Road accidents are one of the most common causes of death among Malaysian citizens. The common problem when accident happened is drivers often have inaccurate awareness of their location, especially on interurban roads or abroad. There are also victims who are injured or trapped and they may not be able to call emergency Call Centre. The scenario may be worsen if there are no witnesses or passersby near the victims to assist them. In order to decrease the rate of fatal accident in Malaysia, eCall system is proposed. The main objective of this research is to develop eCall system that can transmits a call to the public service answering point along with certain vehicle related information using microcomputer, GSM and GPS technologies. The eCall system is able to work automatically or manually depends on the victim's need. As such, collision detection and voice communication algorithm has been designed. For the collision detection, algorithm has been developed based on the data acquired from gyroscope and accelerometer. The location of incident has been identified using GSM cell phone and GPS location capability. The device has a corresponding infrastructure of Public Safety Answering Points (PSAPs) for the voice communication to inform the emergency emergency response unit about the accident, the level of seriousness and the location of the incident. The eCall prototype has successfully designed and developed. Experimental results shown that the prototype is able to detect collision, identify the GPS coordinates of the accident and able to transmit sound wave from speaker to microphone, to be forwarded to the emergency Call Centre.","PeriodicalId":415914,"journal":{"name":"2019 7th International Conference on Mechatronics Engineering (ICOM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115926513","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 : 2019-10-01DOI: 10.1109/ICOM47790.2019.8952033
Hisham Haider Yusef Sa'ad, S. Masri, Hafeez Hariri, Abdul-Malik H. Y. Saad
Solar energy is green, free, long lifetime, and low maintenance. It mainly depends on the light produced by the sun and other environmental parameters such as ambient temperature, air pressure, etc. Two main meteorology parameters that affect directly the produced energy of solar arrays are light and temperature. Collecting the meteorology data is critical to study and estimate the potential energy available in any area. Long-time meteorology data collection is necessary to have more accurate estimation of the potential energy. A study of the meteorology data is done at Nibong Tebal, Penang, Malaysia. In this work temperature and irradiance were collected to compute the photovoltaic (PV) sizing.
{"title":"Analytical study for the potential solar energy produced in Nibong Tebal","authors":"Hisham Haider Yusef Sa'ad, S. Masri, Hafeez Hariri, Abdul-Malik H. Y. Saad","doi":"10.1109/ICOM47790.2019.8952033","DOIUrl":"https://doi.org/10.1109/ICOM47790.2019.8952033","url":null,"abstract":"Solar energy is green, free, long lifetime, and low maintenance. It mainly depends on the light produced by the sun and other environmental parameters such as ambient temperature, air pressure, etc. Two main meteorology parameters that affect directly the produced energy of solar arrays are light and temperature. Collecting the meteorology data is critical to study and estimate the potential energy available in any area. Long-time meteorology data collection is necessary to have more accurate estimation of the potential energy. A study of the meteorology data is done at Nibong Tebal, Penang, Malaysia. In this work temperature and irradiance were collected to compute the photovoltaic (PV) sizing.","PeriodicalId":415914,"journal":{"name":"2019 7th International Conference on Mechatronics Engineering (ICOM)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127848697","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 : 2019-10-01DOI: 10.1109/ICOM47790.2019.8952008
Fatima Farooq, N. Rashid, Amber Farooq, Muzamil Ahmed, Ayesha Zeb, J. Iqbal
Brain computer interface (BCI) can be defined as a pathway that enables human brain to communicate and voluntarily command an external device and generate output instead of depending upon peripheral nerves and muscular movements. Achieving maximum classification accuracy is the greatest challenge in developing a BCI system to correctly interpret the brain signals. This paper aims at investigating various classification algorithms in combination with different pre-processing techniques and comparing their results for maximum classification accuracy. Independent component analysis (ICA), principal component analysis (PCA) and notch filters are used for artifact removal, dimension reduction and noise cancellation, respectively. Left and right hand movements were recorded from the scalp using non-invasive electrodes. Fine KNN, with independent components as feature, gives highest classification accuracy in comparison with various classification techniques used in this research.
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