Pub Date : 2019-07-02DOI: 10.1109/ICEAST.2019.8802570
Sumek Wisayataksin
Speech coding algorithms have been developed for years to digitalize human voice to a few binary bits as possible while maintaining reasonable quality. Codec2 vocoder algorithm is one of an efficient sinusoidal coding with very high compression rate down to 450 bit/s. In this paper, an efficient hardware architecture of Codec2 decoder is proposed to increase the performance of voice decoding process and reduce comprehensive tasks from a host processor. Although the sinusoidal decoding algorithm is complicated with many arithmetic operations such as the arithmetic of complex numbers, FFT, FIR filter, division, trigonometry, exponential and logarithm functions, several techniques were explored to optimize and parallelize a datapath of the proposed hardware. The implementation on Xilinx Artix-7 FPGA revealed that the proposed architecture could reduce the processing time up to 20 times, compared to the conventional Cortex-M4 CPU running with the original software.
{"title":"An Efficient Hardware Architecture of Codec2 Low Bit-rate Speech Decoder","authors":"Sumek Wisayataksin","doi":"10.1109/ICEAST.2019.8802570","DOIUrl":"https://doi.org/10.1109/ICEAST.2019.8802570","url":null,"abstract":"Speech coding algorithms have been developed for years to digitalize human voice to a few binary bits as possible while maintaining reasonable quality. Codec2 vocoder algorithm is one of an efficient sinusoidal coding with very high compression rate down to 450 bit/s. In this paper, an efficient hardware architecture of Codec2 decoder is proposed to increase the performance of voice decoding process and reduce comprehensive tasks from a host processor. Although the sinusoidal decoding algorithm is complicated with many arithmetic operations such as the arithmetic of complex numbers, FFT, FIR filter, division, trigonometry, exponential and logarithm functions, several techniques were explored to optimize and parallelize a datapath of the proposed hardware. The implementation on Xilinx Artix-7 FPGA revealed that the proposed architecture could reduce the processing time up to 20 times, compared to the conventional Cortex-M4 CPU running with the original software.","PeriodicalId":188498,"journal":{"name":"2019 5th International Conference on Engineering, Applied Sciences and Technology (ICEAST)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132762646","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 : 2019-07-02DOI: 10.1109/ICEAST.2019.8802528
Pacharawan Chanprakon, Tapparat Sae-Oung, T. Treebupachatsakul, P. Hannanta-anan, W. Piyawattanametha
Ultraviolet (UV) sterilization technology is used to aid in reduction of microorganisms that may remain on the surfaces after a standard cleaning to the minimum number. Our research team developed a UV robot or UV bot for sterilization in an operating or a patient room. Our UV bot has three 19.3-watt of UV lamps mounted on top of the UV bot platform covering 360° direction. Our UV bot employed an embedded system based on a Raspberry Pi to aid in navigation to avoid obstacles. In addition, we tested the effectiveness of eliminating Staphylococcus Aureus bacteria sample plates located 35 cm away from our UV bot to be within 8 seconds after UV light exposure.
{"title":"An Ultra-violet sterilization robot for disinfection","authors":"Pacharawan Chanprakon, Tapparat Sae-Oung, T. Treebupachatsakul, P. Hannanta-anan, W. Piyawattanametha","doi":"10.1109/ICEAST.2019.8802528","DOIUrl":"https://doi.org/10.1109/ICEAST.2019.8802528","url":null,"abstract":"Ultraviolet (UV) sterilization technology is used to aid in reduction of microorganisms that may remain on the surfaces after a standard cleaning to the minimum number. Our research team developed a UV robot or UV bot for sterilization in an operating or a patient room. Our UV bot has three 19.3-watt of UV lamps mounted on top of the UV bot platform covering 360° direction. Our UV bot employed an embedded system based on a Raspberry Pi to aid in navigation to avoid obstacles. In addition, we tested the effectiveness of eliminating Staphylococcus Aureus bacteria sample plates located 35 cm away from our UV bot to be within 8 seconds after UV light exposure.","PeriodicalId":188498,"journal":{"name":"2019 5th International Conference on Engineering, Applied Sciences and Technology (ICEAST)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128438812","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 : 2019-07-02DOI: 10.1109/ICEAST.2019.8802522
C. Srinilta, Sivakorn Kanharattanachai
Pollution from municipal solid waste has been a problem in Thailand for a long time. People generate waste in every minute. Ineffective waste segregation does increase difficulties in solid waste management. The Pollution Control Department of Thailand provides segregation guideline for municipal solid waste. Household wastes should be separated into four types—general waste, compostable waste, recyclable waste and hazardous waste. This paper explored performance of CNN-based waste-type classifiers (VGG-16, ResNet-50, MobileNet V2 and DenseNet-121) in classifying waste types of 9,200 municipal solid waste images. Waste type can be identified directly from waste-type classifier or derived from waste-item class. Derived classifiers outperformed their corresponding direct classifiers in the experiment. The highest waste-type classification accuracy was 94.86% from the derived ResNet-50 classifier.
{"title":"Municipal Solid Waste Segregation with CNN","authors":"C. Srinilta, Sivakorn Kanharattanachai","doi":"10.1109/ICEAST.2019.8802522","DOIUrl":"https://doi.org/10.1109/ICEAST.2019.8802522","url":null,"abstract":"Pollution from municipal solid waste has been a problem in Thailand for a long time. People generate waste in every minute. Ineffective waste segregation does increase difficulties in solid waste management. The Pollution Control Department of Thailand provides segregation guideline for municipal solid waste. Household wastes should be separated into four types—general waste, compostable waste, recyclable waste and hazardous waste. This paper explored performance of CNN-based waste-type classifiers (VGG-16, ResNet-50, MobileNet V2 and DenseNet-121) in classifying waste types of 9,200 municipal solid waste images. Waste type can be identified directly from waste-type classifier or derived from waste-item class. Derived classifiers outperformed their corresponding direct classifiers in the experiment. The highest waste-type classification accuracy was 94.86% from the derived ResNet-50 classifier.","PeriodicalId":188498,"journal":{"name":"2019 5th International Conference on Engineering, Applied Sciences and Technology (ICEAST)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122584636","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 : 2019-07-02DOI: 10.1109/ICEAST.2019.8802604
Wiraphon Manatarinat, Suvit Poomrittigul, P. Tantatsanawong
3G and 4G wireless communication technology, which requires broad network resources and large amounts of available electricity, was designed for high-speed Internet usage. Most narrowband-Internet of Things (NB-IoT) devices do not require high-speed Internet because most IoTs work by sending commands to and receiving commands from a server only. NB-IoT is a low-power wide area (LPWA) technology that was developed to accommodate a broad variety of new IoT devices. A low-power wide area network (LPWAN) uses narrow frequencies that support the use of devices in the 900 MHz frequency range that are inexpensive and that can be used in both buildings and wide areas. NB-IoT devices can also be used to assist medical patients, the elderly, and disabled people that are susceptible to falling. Our newly developed monitoring system has the ability to immediately recognize a fall, and then automatically alert up to 4 contacts via the LINE application. If dispatch of a medical unit is required, the patient's location is automatically available without the need for voice contact by the patient.
{"title":"Narrowband-Internet of Things (NB-IoT) System for Elderly Healthcare Services","authors":"Wiraphon Manatarinat, Suvit Poomrittigul, P. Tantatsanawong","doi":"10.1109/ICEAST.2019.8802604","DOIUrl":"https://doi.org/10.1109/ICEAST.2019.8802604","url":null,"abstract":"3G and 4G wireless communication technology, which requires broad network resources and large amounts of available electricity, was designed for high-speed Internet usage. Most narrowband-Internet of Things (NB-IoT) devices do not require high-speed Internet because most IoTs work by sending commands to and receiving commands from a server only. NB-IoT is a low-power wide area (LPWA) technology that was developed to accommodate a broad variety of new IoT devices. A low-power wide area network (LPWAN) uses narrow frequencies that support the use of devices in the 900 MHz frequency range that are inexpensive and that can be used in both buildings and wide areas. NB-IoT devices can also be used to assist medical patients, the elderly, and disabled people that are susceptible to falling. Our newly developed monitoring system has the ability to immediately recognize a fall, and then automatically alert up to 4 contacts via the LINE application. If dispatch of a medical unit is required, the patient's location is automatically available without the need for voice contact by the patient.","PeriodicalId":188498,"journal":{"name":"2019 5th International Conference on Engineering, Applied Sciences and Technology (ICEAST)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122275108","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 : 2019-07-02DOI: 10.1109/ICEAST.2019.8802578
Rangpum Hamatapa, C. Vongchumyen
Presently, Drones Quadcopter has caused tremendous problems threatening the military security boundary and the area under Thai Army's surveillance. This article presents a conceptual framework for detecting and tracking unmanned aircraft by applying image processing. Study and analysis Compare advantages and disadvantages in order to develop and provide suitable equipment and tools Replacement of imported high-priced With limiting factors, namely distance, time, terrain And interference resistance The researchers used the camera USB 3.0 Cameras and Open Source Computer Vision (OpenCV) as a software development library on Linux operating systems to automatically record movies. In order to bring the image to analyze and distinguish the object classification by using Machine Learning through a sample of correct information and some incorrect information. Which when detecting, the installed device will calculate the coordinates detected, lock the target, track the movement Voice notification and report. The experiment was conducted by using Anova to test various factors affecting the detection, such as speed, light, color and size in 350 feet with the equipment we installed. The results of the experiment concluded that there was only a speed that had an effect at 22.65.
{"title":"Image Processing for Drones Detection","authors":"Rangpum Hamatapa, C. Vongchumyen","doi":"10.1109/ICEAST.2019.8802578","DOIUrl":"https://doi.org/10.1109/ICEAST.2019.8802578","url":null,"abstract":"Presently, Drones Quadcopter has caused tremendous problems threatening the military security boundary and the area under Thai Army's surveillance. This article presents a conceptual framework for detecting and tracking unmanned aircraft by applying image processing. Study and analysis Compare advantages and disadvantages in order to develop and provide suitable equipment and tools Replacement of imported high-priced With limiting factors, namely distance, time, terrain And interference resistance The researchers used the camera USB 3.0 Cameras and Open Source Computer Vision (OpenCV) as a software development library on Linux operating systems to automatically record movies. In order to bring the image to analyze and distinguish the object classification by using Machine Learning through a sample of correct information and some incorrect information. Which when detecting, the installed device will calculate the coordinates detected, lock the target, track the movement Voice notification and report. The experiment was conducted by using Anova to test various factors affecting the detection, such as speed, light, color and size in 350 feet with the equipment we installed. The results of the experiment concluded that there was only a speed that had an effect at 22.65.","PeriodicalId":188498,"journal":{"name":"2019 5th International Conference on Engineering, Applied Sciences and Technology (ICEAST)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127054514","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 : 2019-07-02DOI: 10.1109/ICEAST.2019.8802523
N. Pattanadech, W. Wattakapaiboon
The interpretation of dissolved gas analysis (DGA) is one of the most important procedure to identify the incipient fault which may occur in transformers. Various interpretation methods can be used; however, they may identify different fault types for the same investigation case. This paper aims to study the performance of DGA interpretation, i.e., IEC Ratio, Duval Triangle and Duval Pentagon, and Doernenburg Ratio. The performance of the DGA interpretation techniques is evaluated from twenty-four fault cases obtained from both academic references and problem investigated transformers utilized in an electrical power plant in Thailand. It was found that the Duval Pentagon method provided the highest consistency DGA interpretation compared with other methods. Duval Pentagon also has the capability to distinguish the normal aging of the insulation system from other fault types.
{"title":"Application of Duval Pentagon Compared with Other DGA Interpretation Techniques: Case Studies for Actual Transformer Inspections Including Experience from Power Plants in Thailand","authors":"N. Pattanadech, W. Wattakapaiboon","doi":"10.1109/ICEAST.2019.8802523","DOIUrl":"https://doi.org/10.1109/ICEAST.2019.8802523","url":null,"abstract":"The interpretation of dissolved gas analysis (DGA) is one of the most important procedure to identify the incipient fault which may occur in transformers. Various interpretation methods can be used; however, they may identify different fault types for the same investigation case. This paper aims to study the performance of DGA interpretation, i.e., IEC Ratio, Duval Triangle and Duval Pentagon, and Doernenburg Ratio. The performance of the DGA interpretation techniques is evaluated from twenty-four fault cases obtained from both academic references and problem investigated transformers utilized in an electrical power plant in Thailand. It was found that the Duval Pentagon method provided the highest consistency DGA interpretation compared with other methods. Duval Pentagon also has the capability to distinguish the normal aging of the insulation system from other fault types.","PeriodicalId":188498,"journal":{"name":"2019 5th International Conference on Engineering, Applied Sciences and Technology (ICEAST)","volume":"142 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133731292","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 : 2019-07-02DOI: 10.1109/ICEAST.2019.8802565
Sounith Orphomma
This paper presents a way how to recognize of human activity by considering the fading characteristics of received signal strength (RSS) at the frequency 2.4 GHz on the standard of IEEE 802.11. The research use dominant attribute two things such as average of RSS and fluctuation analysis (FA) to cover efficiency of the presentation measure RSS from the implementation of four activities by using the supervised learning in order to spread the pattern of recognition from the test data obtained from the experiment three locations for the distance between a transmitter and a receiver at 5 meters for line-of-sight (LOS) case, this approach can provide accuracy not less than 90% [1]. On the average in the canal Obstructed-Line-of-sight (OLOS) give the lower accuracy compared to the case LOS but still give more than 80% in the case of test canal by implementation changing people found that the average result is 88.75%, in the case use another AP the average result is 90.63% and also in the case test NLOS. Finally, from exploratory experiments the proposed technique shows as a potential scheme to be adopted in activity-based recognition for many future applications like intrusion detection for home security, elderly personal surveillance, etc.
{"title":"Using Wireless Channel Fading for Human Activity Recognition","authors":"Sounith Orphomma","doi":"10.1109/ICEAST.2019.8802565","DOIUrl":"https://doi.org/10.1109/ICEAST.2019.8802565","url":null,"abstract":"This paper presents a way how to recognize of human activity by considering the fading characteristics of received signal strength (RSS) at the frequency 2.4 GHz on the standard of IEEE 802.11. The research use dominant attribute two things such as average of RSS and fluctuation analysis (FA) to cover efficiency of the presentation measure RSS from the implementation of four activities by using the supervised learning in order to spread the pattern of recognition from the test data obtained from the experiment three locations for the distance between a transmitter and a receiver at 5 meters for line-of-sight (LOS) case, this approach can provide accuracy not less than 90% [1]. On the average in the canal Obstructed-Line-of-sight (OLOS) give the lower accuracy compared to the case LOS but still give more than 80% in the case of test canal by implementation changing people found that the average result is 88.75%, in the case use another AP the average result is 90.63% and also in the case test NLOS. Finally, from exploratory experiments the proposed technique shows as a potential scheme to be adopted in activity-based recognition for many future applications like intrusion detection for home security, elderly personal surveillance, etc.","PeriodicalId":188498,"journal":{"name":"2019 5th International Conference on Engineering, Applied Sciences and Technology (ICEAST)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126225114","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 : 2019-07-02DOI: 10.1109/ICEAST.2019.8802562
Hein Tun Zaw, Noppadol Maneerat, Khin Yadanar Win
Brain cancer is caused by the population of abnormal cells called glial cells that takes place in the brain. Over the years, the number of patients who have brain cancer is increasing with respect to the aging population, is a worldwide health problem. The objective of this paper is to develop a method to detect the brain tissues which are affected by cancer especially for grade-4 tumor, Glioblastoma multiforme (GBM). GBM is one of the most malignant cancerous brain tumors as they are fast growing and more likely to spread to other parts of the brain. In this paper, Naïve Bayes classification is utilized for recognition of a tumor region accurately that contains all spreading cancerous tissues. Brain MRI database, preprocessing, morphological operations, pixel subtraction, maximum entropy threshold, statistical features extraction, and Naïve Bayes classifier based prediction algorithm are used in this research. The goal of this method is to detect the tumor area from different brain MRI images and to predict that detected area whether it is a tumor or not. When compared to other methods, this method can properly detect the tumor located in different regions of the brain including the middle region (aligned with eye level) which is the significant advantage of this method. When tested on 50 MRI images, this method develops 81.25% detection rate on tumor images and 100% detection rate on non-tumor images with the overall accuracy 94%.
{"title":"Brain tumor detection based on Naïve Bayes Classification","authors":"Hein Tun Zaw, Noppadol Maneerat, Khin Yadanar Win","doi":"10.1109/ICEAST.2019.8802562","DOIUrl":"https://doi.org/10.1109/ICEAST.2019.8802562","url":null,"abstract":"Brain cancer is caused by the population of abnormal cells called glial cells that takes place in the brain. Over the years, the number of patients who have brain cancer is increasing with respect to the aging population, is a worldwide health problem. The objective of this paper is to develop a method to detect the brain tissues which are affected by cancer especially for grade-4 tumor, Glioblastoma multiforme (GBM). GBM is one of the most malignant cancerous brain tumors as they are fast growing and more likely to spread to other parts of the brain. In this paper, Naïve Bayes classification is utilized for recognition of a tumor region accurately that contains all spreading cancerous tissues. Brain MRI database, preprocessing, morphological operations, pixel subtraction, maximum entropy threshold, statistical features extraction, and Naïve Bayes classifier based prediction algorithm are used in this research. The goal of this method is to detect the tumor area from different brain MRI images and to predict that detected area whether it is a tumor or not. When compared to other methods, this method can properly detect the tumor located in different regions of the brain including the middle region (aligned with eye level) which is the significant advantage of this method. When tested on 50 MRI images, this method develops 81.25% detection rate on tumor images and 100% detection rate on non-tumor images with the overall accuracy 94%.","PeriodicalId":188498,"journal":{"name":"2019 5th International Conference on Engineering, Applied Sciences and Technology (ICEAST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130107951","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 : 2019-07-02DOI: 10.1109/ICEAST.2019.8802520
T. Leeudomwong, Suwadee Phowichit, W. Ussawawongaraya
This paper presents the design and construction of a multi-channel surface electromyograph for monitoring intra-dialytic cramp to help medical staffs in the care of patients on hemodialysis. The developed system consists of two main parts: EMG circuits, and a processing circuit. The EMG circuit detects the myoelectric signal from the surface electrodes placed on the skin over the muscle, or the sEMG signal ($S_{EMG}$), and process the detected $S_{EMG}$ to obtain a signal of which the amplitude represents the peak amplitude of the $s$ EMG signal ($V_{EMG}$). Each EMG circuit is composed of a biopotential amplifier, a bandpass filter, a full-wave rectifier, a peak detector, and a low-pass filter. The processing circuit acquires the $V_{EMG}$ data from the EMG circuits, and provides the alarm if the $V_{EMG}$ increases higher than the level of the reference voltage ($V_{ref}$) set by the user. The experiments were held by making the measurement at the gastrocnemius muscle and performing the voluntary muscle contraction to imitate the muscle cramp. The results showed that the EMG circuits can effectively detect and process the $S_{EMG}$ in order to provide the $V_{EMG}$ in response to the muscle contraction, and the processing unit can provide the alarm correctly when the gastrocnemius muscles are contracted.
{"title":"Multi-Channel Surface Electromyograph for Monitoring Intradialytic Cramp","authors":"T. Leeudomwong, Suwadee Phowichit, W. Ussawawongaraya","doi":"10.1109/ICEAST.2019.8802520","DOIUrl":"https://doi.org/10.1109/ICEAST.2019.8802520","url":null,"abstract":"This paper presents the design and construction of a multi-channel surface electromyograph for monitoring intra-dialytic cramp to help medical staffs in the care of patients on hemodialysis. The developed system consists of two main parts: EMG circuits, and a processing circuit. The EMG circuit detects the myoelectric signal from the surface electrodes placed on the skin over the muscle, or the sEMG signal ($S_{EMG}$), and process the detected $S_{EMG}$ to obtain a signal of which the amplitude represents the peak amplitude of the $s$ EMG signal ($V_{EMG}$). Each EMG circuit is composed of a biopotential amplifier, a bandpass filter, a full-wave rectifier, a peak detector, and a low-pass filter. The processing circuit acquires the $V_{EMG}$ data from the EMG circuits, and provides the alarm if the $V_{EMG}$ increases higher than the level of the reference voltage ($V_{ref}$) set by the user. The experiments were held by making the measurement at the gastrocnemius muscle and performing the voluntary muscle contraction to imitate the muscle cramp. The results showed that the EMG circuits can effectively detect and process the $S_{EMG}$ in order to provide the $V_{EMG}$ in response to the muscle contraction, and the processing unit can provide the alarm correctly when the gastrocnemius muscles are contracted.","PeriodicalId":188498,"journal":{"name":"2019 5th International Conference on Engineering, Applied Sciences and Technology (ICEAST)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115897616","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 : 2019-07-02DOI: 10.1109/ICEAST.2019.8802603
O. Channumsin, W. Tangsrirat
This paper deals with a voltage-mode multifunction filter using only single newly defined active element labeled as voltage differencing gain amplifier (VDGA), and four passive elements. The presented circuit has one input and three outputs, and can realize highpass, bandpass and lowpass biquadratic filtering functions simultaneously without altering the circuit topology. Apart from these characteristics, the circuit also exhibits the desirable features such as high impedance for the input voltage signal and orthogonal adjustment of the natural angular frequency and the quality factor, and low sensitivity performance. The filter exhibits high-input impedance terminal. The operation of the proposed filter is evaluated through simulation results based on $0.25-boldsymbol{mu}mathbf{m}$ CMOS technology from TSMC.
{"title":"SITO-Type High-Input Impedance Voltage-Mode Multifunction Filter Using Single Active Element","authors":"O. Channumsin, W. Tangsrirat","doi":"10.1109/ICEAST.2019.8802603","DOIUrl":"https://doi.org/10.1109/ICEAST.2019.8802603","url":null,"abstract":"This paper deals with a voltage-mode multifunction filter using only single newly defined active element labeled as voltage differencing gain amplifier (VDGA), and four passive elements. The presented circuit has one input and three outputs, and can realize highpass, bandpass and lowpass biquadratic filtering functions simultaneously without altering the circuit topology. Apart from these characteristics, the circuit also exhibits the desirable features such as high impedance for the input voltage signal and orthogonal adjustment of the natural angular frequency and the quality factor, and low sensitivity performance. The filter exhibits high-input impedance terminal. The operation of the proposed filter is evaluated through simulation results based on $0.25-boldsymbol{mu}mathbf{m}$ CMOS technology from TSMC.","PeriodicalId":188498,"journal":{"name":"2019 5th International Conference on Engineering, Applied Sciences and Technology (ICEAST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125913377","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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