Pub Date : 2021-04-01DOI: 10.1109/ICEAST52143.2021.9426261
Anyaporn Chaikheatisak, Pornpimol Chaiwuttisak
The objectives of this study were the following: (1) to investigate the correlations between data collected through Internet of Thing (IOT) and unintentional behavior of drivers (2) to create the models based on machine learning techniques to classify unintentional behavior of drivers who drive the natural gas vehicle and (3) to compare the forecasting accuracy of the learning model. Data studied were collected from the system of the natural gas transportation business in Thailand. There were 10,693 records starting from January 1, 2019 to December 31, 2019, for a period of 12 months. Moreover, KNIME Analytics Platform was used to create the model. The research findings were as follows: (1) duration time when the driver is not looking straight, driving speeds, distance coverage of the driver faces that is not looking straight detecting by a camera and the latitude and longitude coordinates have a relationship with unintentional behavior of the driver; and (2) Neural Network with two hidden layer and 5 neurons in the hidden layer performs the highest accuracy (873%), followed by Support Vector Machine with S3.9%, of accuracy. It can be said that Neural Network can be used to create an efficient predictive model.
{"title":"Analysis of Driver’s Attention through the Internet of Things (IOTs) for Preventing Road Accident of Natural Gas Vehicles","authors":"Anyaporn Chaikheatisak, Pornpimol Chaiwuttisak","doi":"10.1109/ICEAST52143.2021.9426261","DOIUrl":"https://doi.org/10.1109/ICEAST52143.2021.9426261","url":null,"abstract":"The objectives of this study were the following: (1) to investigate the correlations between data collected through Internet of Thing (IOT) and unintentional behavior of drivers (2) to create the models based on machine learning techniques to classify unintentional behavior of drivers who drive the natural gas vehicle and (3) to compare the forecasting accuracy of the learning model. Data studied were collected from the system of the natural gas transportation business in Thailand. There were 10,693 records starting from January 1, 2019 to December 31, 2019, for a period of 12 months. Moreover, KNIME Analytics Platform was used to create the model. The research findings were as follows: (1) duration time when the driver is not looking straight, driving speeds, distance coverage of the driver faces that is not looking straight detecting by a camera and the latitude and longitude coordinates have a relationship with unintentional behavior of the driver; and (2) Neural Network with two hidden layer and 5 neurons in the hidden layer performs the highest accuracy (873%), followed by Support Vector Machine with S3.9%, of accuracy. It can be said that Neural Network can be used to create an efficient predictive model.","PeriodicalId":416531,"journal":{"name":"2021 7th International Conference on Engineering, Applied Sciences and Technology (ICEAST)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125908282","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 : 2021-04-01DOI: 10.1109/ICEAST52143.2021.9426279
C. Jinjakam, Pichamol Phothong, Piyarat Pearodwong, Thana Hongsuwan
Classroom allocation is one of the most important problems of academic management. The new semester may vary on different sizes of the student population, the number of subjects, provided classrooms, and so forth. Over-allocation and under-allocation of the classroom space directly affect the feeling comfortably of students. Furthermore, not only the facilities provided inside the classroom but also the classroom distance affect the quality of teaching and learning of room members. This paper studies classroom allocation in the School of Engineering, King Mongkut’s Institute of Technology, Ladkrabang, Thailand. The main cohort is around 11,310 Thai bachelor students that are studying in 55 Thai courses. These courses have 1,624 subjects. Some departments provide room for their courses, but the main course of the first year and second-year students are managed under the central classroom allocation. Total 128 central classrooms provided in 5 buildings (data on 8 September 2020), which vary on size and number of seats. From traditional manual management to web-based management, user experience design is chosen method to improve the satisfaction of the automatic system. User interviews are applied with the 30s-years experienced staffs in the academic department and physical and environment department in the School of Engineering, KMITL. Cases of lecturers’ scenarios are transferred to the function of the classroom allocation system. Classroom allocation in functions of capacity and location management is proposed in a user- friendly web-based program. Automatic classroom allocation results 203 of 245 subjects use central classroom location similar to the traditional manual arrangement, and 26 subjects are set in the different building from the assigned zone that improve from the traditional management.
{"title":"Classroom Allocation System with User Experience Design","authors":"C. Jinjakam, Pichamol Phothong, Piyarat Pearodwong, Thana Hongsuwan","doi":"10.1109/ICEAST52143.2021.9426279","DOIUrl":"https://doi.org/10.1109/ICEAST52143.2021.9426279","url":null,"abstract":"Classroom allocation is one of the most important problems of academic management. The new semester may vary on different sizes of the student population, the number of subjects, provided classrooms, and so forth. Over-allocation and under-allocation of the classroom space directly affect the feeling comfortably of students. Furthermore, not only the facilities provided inside the classroom but also the classroom distance affect the quality of teaching and learning of room members. This paper studies classroom allocation in the School of Engineering, King Mongkut’s Institute of Technology, Ladkrabang, Thailand. The main cohort is around 11,310 Thai bachelor students that are studying in 55 Thai courses. These courses have 1,624 subjects. Some departments provide room for their courses, but the main course of the first year and second-year students are managed under the central classroom allocation. Total 128 central classrooms provided in 5 buildings (data on 8 September 2020), which vary on size and number of seats. From traditional manual management to web-based management, user experience design is chosen method to improve the satisfaction of the automatic system. User interviews are applied with the 30s-years experienced staffs in the academic department and physical and environment department in the School of Engineering, KMITL. Cases of lecturers’ scenarios are transferred to the function of the classroom allocation system. Classroom allocation in functions of capacity and location management is proposed in a user- friendly web-based program. Automatic classroom allocation results 203 of 245 subjects use central classroom location similar to the traditional manual arrangement, and 26 subjects are set in the different building from the assigned zone that improve from the traditional management.","PeriodicalId":416531,"journal":{"name":"2021 7th International Conference on Engineering, Applied Sciences and Technology (ICEAST)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121415197","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 : 2021-04-01DOI: 10.1109/ICEAST52143.2021.9426263
Natnaree Phukkaphan, Tanthip Eamsa-ard, Chalisa Chairanit, T. Kerdcharoen
Microbial spoilage in milk is a crucial concern for healthy consumption. This study aims to apply the electronic nose system (e-nose) comprising an array of different gas sensors as an initial tool for monitoring of food spoilage for maintaining food safety and human health. In this system, nanocomposite gas sensors based on different polymers and functionalized single-walled carbon nanotubes (f-SWCNTs) are employed. By exposure of these gas sensors to the milk’s headspace, the gas sensors show responsive signals toward volatile organic compounds (VOCs) contained in the milk. The pasteurized milks under two storage conditions, at 4°C (±1°C) and 25°C (± 1°C), were used to observe development of spoilage for 9 days. To consider the capability of electronic nose for freshness and milk spoilage detection, the odor pattern was analyzed using principal component analysis (PCA). The ability of each sensor to detect the intensity of the odor level was observed by tracking the change of sensing responses. The discrimination results have shown that the odor levels of samples stored at 4°C are not different from the first day to the ninth day, whereas the odor levels of samples stored at room temperature condition are increasing upon the storage time. The exploration in this work can thus provide information about the application of electronic nose with nanocomposite gas sensor array as a beneficial tool for monitoring the food spoilage and quality control.
{"title":"The Application of Gas Sensor Array based Electronic Nose for Milk Spoilage Detection","authors":"Natnaree Phukkaphan, Tanthip Eamsa-ard, Chalisa Chairanit, T. Kerdcharoen","doi":"10.1109/ICEAST52143.2021.9426263","DOIUrl":"https://doi.org/10.1109/ICEAST52143.2021.9426263","url":null,"abstract":"Microbial spoilage in milk is a crucial concern for healthy consumption. This study aims to apply the electronic nose system (e-nose) comprising an array of different gas sensors as an initial tool for monitoring of food spoilage for maintaining food safety and human health. In this system, nanocomposite gas sensors based on different polymers and functionalized single-walled carbon nanotubes (f-SWCNTs) are employed. By exposure of these gas sensors to the milk’s headspace, the gas sensors show responsive signals toward volatile organic compounds (VOCs) contained in the milk. The pasteurized milks under two storage conditions, at 4°C (±1°C) and 25°C (± 1°C), were used to observe development of spoilage for 9 days. To consider the capability of electronic nose for freshness and milk spoilage detection, the odor pattern was analyzed using principal component analysis (PCA). The ability of each sensor to detect the intensity of the odor level was observed by tracking the change of sensing responses. The discrimination results have shown that the odor levels of samples stored at 4°C are not different from the first day to the ninth day, whereas the odor levels of samples stored at room temperature condition are increasing upon the storage time. The exploration in this work can thus provide information about the application of electronic nose with nanocomposite gas sensor array as a beneficial tool for monitoring the food spoilage and quality control.","PeriodicalId":416531,"journal":{"name":"2021 7th International Conference on Engineering, Applied Sciences and Technology (ICEAST)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132476282","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 : 2021-04-01DOI: 10.1109/ICEAST52143.2021.9426272
T. Cheypoca, K. Anuntahirunrat
In this paper, the use of accelerometer, gyroscope, magnetometer and GPS. A basic sensors available on smartphones, in the treatment of paresis symptoms, patients as a way of encouraging physical therapy on their own without having to travel to the hospital. And it is a burden to doctors and physiotherapists, making it possible to serve a large number of patients will explored. It also provides therapeutic information to improve individual physical activity. A smartphone that attached to the patient at a given location.It sends values from sensors to databases in the cloud. The data provided by the database will analyze and diagnosed by doctors and physiotherapists.
{"title":"Using a Smartphone to Assist in Physical Therapy","authors":"T. Cheypoca, K. Anuntahirunrat","doi":"10.1109/ICEAST52143.2021.9426272","DOIUrl":"https://doi.org/10.1109/ICEAST52143.2021.9426272","url":null,"abstract":"In this paper, the use of accelerometer, gyroscope, magnetometer and GPS. A basic sensors available on smartphones, in the treatment of paresis symptoms, patients as a way of encouraging physical therapy on their own without having to travel to the hospital. And it is a burden to doctors and physiotherapists, making it possible to serve a large number of patients will explored. It also provides therapeutic information to improve individual physical activity. A smartphone that attached to the patient at a given location.It sends values from sensors to databases in the cloud. The data provided by the database will analyze and diagnosed by doctors and physiotherapists.","PeriodicalId":416531,"journal":{"name":"2021 7th International Conference on Engineering, Applied Sciences and Technology (ICEAST)","volume":"125 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123171793","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 : 2021-04-01DOI: 10.1109/ICEAST52143.2021.9426254
Thitipong Makmee, E. Pengwang
Maintaining a power capacity of solar cell is the main goal for utilizing solar power system. Most problems in solar power system are dirt, e.g. dust, sand, animals, pollen and crops burning. These challenges have a huge impact for power capacity of solar cell. In general, the cleaning method for solar panels is the human power, cleaning mops, and imported solar cleaning robot. This paper presents the design of four-side stretch sling-based solar cleaning robot. In this research, a robot used in processes of cleaning solar panels especially for a large area solar panel. The concept design of the robot is to create a robot which has a simple installation, flexible in configurations, decrease a number of worker and operating cost. The robot is equipped with spiral roller brushes, so that the robot is implemented with a water sprinkle in order to clean the panels everywhere it moves through. In this design, a sling-based system contains a length measurement unit and embedded control schemes in order to drive a movement accurately and to localize the positions of the robot. The installation is attached to the four corners of the solar panels. The possible range of width for the solar panel is between 2 and 4 meters. The robot is tested with the releasing and pulling processes of sling wire at the same time in order to evaluate the accuracy of the device. Then, the robot is controlled for moving to different positions in the working area of 4 x 4 square meters. The robot is also adjusted to correct the position based on the values that derived from the equation of motion of the robot. The testing results showed that the robot can move to various position with the precision level between 95% and 99% through a manual control with a radio-frequency remote control. Tentative targeted applications for this cleaning robot include a rooftop solar panels, solar farm, and solar floating panels.
{"title":"Design and Experiment of Four-side Stretch Slingbased Solar Cleaning Robot","authors":"Thitipong Makmee, E. Pengwang","doi":"10.1109/ICEAST52143.2021.9426254","DOIUrl":"https://doi.org/10.1109/ICEAST52143.2021.9426254","url":null,"abstract":"Maintaining a power capacity of solar cell is the main goal for utilizing solar power system. Most problems in solar power system are dirt, e.g. dust, sand, animals, pollen and crops burning. These challenges have a huge impact for power capacity of solar cell. In general, the cleaning method for solar panels is the human power, cleaning mops, and imported solar cleaning robot. This paper presents the design of four-side stretch sling-based solar cleaning robot. In this research, a robot used in processes of cleaning solar panels especially for a large area solar panel. The concept design of the robot is to create a robot which has a simple installation, flexible in configurations, decrease a number of worker and operating cost. The robot is equipped with spiral roller brushes, so that the robot is implemented with a water sprinkle in order to clean the panels everywhere it moves through. In this design, a sling-based system contains a length measurement unit and embedded control schemes in order to drive a movement accurately and to localize the positions of the robot. The installation is attached to the four corners of the solar panels. The possible range of width for the solar panel is between 2 and 4 meters. The robot is tested with the releasing and pulling processes of sling wire at the same time in order to evaluate the accuracy of the device. Then, the robot is controlled for moving to different positions in the working area of 4 x 4 square meters. The robot is also adjusted to correct the position based on the values that derived from the equation of motion of the robot. The testing results showed that the robot can move to various position with the precision level between 95% and 99% through a manual control with a radio-frequency remote control. Tentative targeted applications for this cleaning robot include a rooftop solar panels, solar farm, and solar floating panels.","PeriodicalId":416531,"journal":{"name":"2021 7th International Conference on Engineering, Applied Sciences and Technology (ICEAST)","volume":"520 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116265369","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 : 2021-04-01DOI: 10.1109/ICEAST52143.2021.9426312
N. Pattanadech, Y. Kittikhuntharadol, P. Pannil
Abstract-Biodegradable materials are necessary for saving the environment. Natural ester is alternative liquid insulation that can be biodegraded and used in a transformer. Insulation system in a transformer, liquid insulation cooperates with solid insulation such as cellulose. Pressboard is the main kind of cellulose used in the transformers. Normally, the characteristics of solid insulation can be investigated and analyzed by diverse methods. This paper represents the study of AC breakdown voltage of non-impregnation, 8-hours, and 16-hours impregnated pressboard with natural ester with different moisture content. To vary the moisture content of the pressboards, they were heated at 100 degrees Celsius for 12 hours and 24 -hours in a vacuum oven. After that, the Coulometric Karl Fischer method was used to determine the moisture content. Before impregnation, the natural ester was heated at 100 degrees Celsius for 12-hours in another vacuum oven. To investigate AC breakdown voltage, electrode configuration and test circuit were set-ups according to IEC 60243-1. From the test result, higher’ moisture content caused clearly lower AC breakdown voltage of the pressboards.
{"title":"AC Breakdown Characteristics of Different Moisture Content Pressboards Impregnated with Natural Ester","authors":"N. Pattanadech, Y. Kittikhuntharadol, P. Pannil","doi":"10.1109/ICEAST52143.2021.9426312","DOIUrl":"https://doi.org/10.1109/ICEAST52143.2021.9426312","url":null,"abstract":"Abstract-Biodegradable materials are necessary for saving the environment. Natural ester is alternative liquid insulation that can be biodegraded and used in a transformer. Insulation system in a transformer, liquid insulation cooperates with solid insulation such as cellulose. Pressboard is the main kind of cellulose used in the transformers. Normally, the characteristics of solid insulation can be investigated and analyzed by diverse methods. This paper represents the study of AC breakdown voltage of non-impregnation, 8-hours, and 16-hours impregnated pressboard with natural ester with different moisture content. To vary the moisture content of the pressboards, they were heated at 100 degrees Celsius for 12 hours and 24 -hours in a vacuum oven. After that, the Coulometric Karl Fischer method was used to determine the moisture content. Before impregnation, the natural ester was heated at 100 degrees Celsius for 12-hours in another vacuum oven. To investigate AC breakdown voltage, electrode configuration and test circuit were set-ups according to IEC 60243-1. From the test result, higher’ moisture content caused clearly lower AC breakdown voltage of the pressboards.","PeriodicalId":416531,"journal":{"name":"2021 7th International Conference on Engineering, Applied Sciences and Technology (ICEAST)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121134705","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 : 2021-04-01DOI: 10.1109/ICEAST52143.2021.9426260
Nutcha Likhitkitwoerakul, Natchanai Roongmuanpha, W. Tangsrirat
An actively grounded RL/RC parallel type impedance simulator is presented. It contains two differential voltage to current converters (DVTCs) as an active element and three passive elements, and can simulate RL or RC parallel-type impedance by the proper selection of the external passive elements. The effect of the DVTC non-idealities on the realized simulator is also analyzed mathematically. The usability of the proposed circuit has been shown on the realizations of active second-order voltage mode highpass-and lowpass-filter. PSPICE simulation using TSMC 0.25-$mu$m CMOS technology is performed to demonstrate the behavior of the proposed simulator circuit and its filter applications.
{"title":"On The Realization of Grounded RL/RC Parallel Type Simulator","authors":"Nutcha Likhitkitwoerakul, Natchanai Roongmuanpha, W. Tangsrirat","doi":"10.1109/ICEAST52143.2021.9426260","DOIUrl":"https://doi.org/10.1109/ICEAST52143.2021.9426260","url":null,"abstract":"An actively grounded RL/RC parallel type impedance simulator is presented. It contains two differential voltage to current converters (DVTCs) as an active element and three passive elements, and can simulate RL or RC parallel-type impedance by the proper selection of the external passive elements. The effect of the DVTC non-idealities on the realized simulator is also analyzed mathematically. The usability of the proposed circuit has been shown on the realizations of active second-order voltage mode highpass-and lowpass-filter. PSPICE simulation using TSMC 0.25-$mu$m CMOS technology is performed to demonstrate the behavior of the proposed simulator circuit and its filter applications.","PeriodicalId":416531,"journal":{"name":"2021 7th International Conference on Engineering, Applied Sciences and Technology (ICEAST)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124239015","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 : 2021-04-01DOI: 10.1109/ICEAST52143.2021.9426266
A. Ruangphanit, R. Muanghlua
In this paper, the oxide trapped charge density (NOT) and interface trapped charge density (NIT) on the threshold voltage shift with the total dose under gamma irradiation of NMOSFET are investigated. The subthreshold technique (mV/dec) is used to separate the irradiation induced threshold voltage shifts into voltage shifts due to the interface trapped charge. The linear extrapolation method is used to extract the threshold voltage from $I_{DS}-V_{GS}$ curve at low VDS of typically 100 mV. The results showed that the threshold voltage was shifted from 0.69 V to 0.45 V, the threshold swing was increased from 95 to 107 mV/dec, the oxide charge and interface charge density were found to be increase almost by 1 order in magnitude for a total gamma dose of 10 kGy.
{"title":"Investigation of Oxide and Interface Trapped Charge on Threshold Voltage Shift in Gamma Irradiated NMOSFET by Subthreshold Method","authors":"A. Ruangphanit, R. Muanghlua","doi":"10.1109/ICEAST52143.2021.9426266","DOIUrl":"https://doi.org/10.1109/ICEAST52143.2021.9426266","url":null,"abstract":"In this paper, the oxide trapped charge density (NOT) and interface trapped charge density (NIT) on the threshold voltage shift with the total dose under gamma irradiation of NMOSFET are investigated. The subthreshold technique (mV/dec) is used to separate the irradiation induced threshold voltage shifts into voltage shifts due to the interface trapped charge. The linear extrapolation method is used to extract the threshold voltage from $I_{DS}-V_{GS}$ curve at low VDS of typically 100 mV. The results showed that the threshold voltage was shifted from 0.69 V to 0.45 V, the threshold swing was increased from 95 to 107 mV/dec, the oxide charge and interface charge density were found to be increase almost by 1 order in magnitude for a total gamma dose of 10 kGy.","PeriodicalId":416531,"journal":{"name":"2021 7th International Conference on Engineering, Applied Sciences and Technology (ICEAST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132038391","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 : 2021-04-01DOI: 10.1109/ICEAST52143.2021.9426294
Tantep Sinjankhom, S. Chivapreecha, N. Chitanont, Tomonori Kato
This paper introduces Thai musical instrument sound synthesis with an intelligent technique which is a combination of deep neural networks and conventional signal processing techniques. The instrument focused on in this paper is the Khlui, which is a unique Thai reedless wind instrument. Khlui sound can be synthesized by performing a combination of additive and subtractive syntheses. The synthesis system takes the pitch and loudness of any monophonic input signal. Then, multilayer perceptron and recurrent neural networks are used together in order to generate 3 parameters which are harmonic distribution, filter magnitude response, and the signal envelope. Finally, the harmonic characteristic of the Khlui along with the blowing noises are highly synthesized. The results are natural-sounding and realistic when compared with the recorded Khlui audio. This research will contribute to the more convenient natural synthesis of the Khlui sounds.
{"title":"Deep Neural Networks for Sound Synthesis of Thai Duct F1ute, Khlui","authors":"Tantep Sinjankhom, S. Chivapreecha, N. Chitanont, Tomonori Kato","doi":"10.1109/ICEAST52143.2021.9426294","DOIUrl":"https://doi.org/10.1109/ICEAST52143.2021.9426294","url":null,"abstract":"This paper introduces Thai musical instrument sound synthesis with an intelligent technique which is a combination of deep neural networks and conventional signal processing techniques. The instrument focused on in this paper is the Khlui, which is a unique Thai reedless wind instrument. Khlui sound can be synthesized by performing a combination of additive and subtractive syntheses. The synthesis system takes the pitch and loudness of any monophonic input signal. Then, multilayer perceptron and recurrent neural networks are used together in order to generate 3 parameters which are harmonic distribution, filter magnitude response, and the signal envelope. Finally, the harmonic characteristic of the Khlui along with the blowing noises are highly synthesized. The results are natural-sounding and realistic when compared with the recorded Khlui audio. This research will contribute to the more convenient natural synthesis of the Khlui sounds.","PeriodicalId":416531,"journal":{"name":"2021 7th International Conference on Engineering, Applied Sciences and Technology (ICEAST)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116658161","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 : 2021-04-01DOI: 10.1109/ICEAST52143.2021.9426251
Nattharinee Aupithak, U. Torteanchai, B. Burapattanasiri, S. Lerkvaranyu, F. Khateb, M. Kumngern
A fifth-order Butterworth low-pass filter using multiple-input operational transconductance amplifiers (OTAs) is proposed in this paper. It is expressed that the number of OTAs that used for realizing fifth-order low-pass filter can be reduced using multiple-input OTA and results to decrease the power consumption and the active area. N-input OTA can be obtained using multiple-input bulk-driven quasi-floating gate technique. Subthreshold technique is used to achieve extremely low power consumption which can be applied to biomedical systems. The proposed topology is simulated using 0.18 $mu text{m}$ standard CMOS process. Simulation results show that the proposed filter has a bandwidth located within 250 Hz, a power consumption of 41 nW and a dynamic range of 61 dB.
{"title":"Extremely Low-Power Fifth-Order Low-Pass Butterworth Filter","authors":"Nattharinee Aupithak, U. Torteanchai, B. Burapattanasiri, S. Lerkvaranyu, F. Khateb, M. Kumngern","doi":"10.1109/ICEAST52143.2021.9426251","DOIUrl":"https://doi.org/10.1109/ICEAST52143.2021.9426251","url":null,"abstract":"A fifth-order Butterworth low-pass filter using multiple-input operational transconductance amplifiers (OTAs) is proposed in this paper. It is expressed that the number of OTAs that used for realizing fifth-order low-pass filter can be reduced using multiple-input OTA and results to decrease the power consumption and the active area. N-input OTA can be obtained using multiple-input bulk-driven quasi-floating gate technique. Subthreshold technique is used to achieve extremely low power consumption which can be applied to biomedical systems. The proposed topology is simulated using 0.18 $mu text{m}$ standard CMOS process. Simulation results show that the proposed filter has a bandwidth located within 250 Hz, a power consumption of 41 nW and a dynamic range of 61 dB.","PeriodicalId":416531,"journal":{"name":"2021 7th International Conference on Engineering, Applied Sciences and Technology (ICEAST)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115573321","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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