Pub Date : 2022-08-04DOI: 10.1109/RI2C56397.2022.9910299
J. Polpinij, M. Kaenampornpan, B. Luaphol
This document is a model and instructions for LATEX. Previous related studies often used the ‘summary’ of bug reports because this part contains less noise. However, bug report summaries are often short, leading to short text classification issues which may have been overlooked. This study compares short text classification methods by categorizing bug reports into two classes as real-bug and non-bug based on three major factors namely bug report features, term weighting schemes and machine learning algorithms. Four bug report features (i.e. unigram, unigram + bigram, unigram + CamelCase, and all features), three term weighting schemes (i.e. tf, tf-idf and tf-igm) and three machine learning algorithms (i.e. random forest, support vector machine, and k-means clustering) are compared using bug reports relating to the Mozilla Firefox open source. Finally, unigram + CamelCase features along with tf-igm and support vector machine provide the most optimal bug report classification performance.
{"title":"A Comparative Study of Short Text Classification Methods for Bug Report Type Identification","authors":"J. Polpinij, M. Kaenampornpan, B. Luaphol","doi":"10.1109/RI2C56397.2022.9910299","DOIUrl":"https://doi.org/10.1109/RI2C56397.2022.9910299","url":null,"abstract":"This document is a model and instructions for LATEX. Previous related studies often used the ‘summary’ of bug reports because this part contains less noise. However, bug report summaries are often short, leading to short text classification issues which may have been overlooked. This study compares short text classification methods by categorizing bug reports into two classes as real-bug and non-bug based on three major factors namely bug report features, term weighting schemes and machine learning algorithms. Four bug report features (i.e. unigram, unigram + bigram, unigram + CamelCase, and all features), three term weighting schemes (i.e. tf, tf-idf and tf-igm) and three machine learning algorithms (i.e. random forest, support vector machine, and k-means clustering) are compared using bug reports relating to the Mozilla Firefox open source. Finally, unigram + CamelCase features along with tf-igm and support vector machine provide the most optimal bug report classification performance.","PeriodicalId":403083,"journal":{"name":"2022 Research, Invention, and Innovation Congress: Innovative Electricals and Electronics (RI2C)","volume":"347 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133808775","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 : 2022-08-04DOI: 10.1109/RI2C56397.2022.9910273
P. Boonrawd, Korawat Phonyiam
Stock investment is an interesting option that has attracted the attention of investors. This research presents Thailand Stock Index Forecasting, a case study of the Stock Exchange of Thailand (SET) applying Recurrent Neural Networks with Long Short-Term Memory (RNN-LTSM). The research used multiple data sources 15 years of SET Market Data from 2006 to 2020 for stock forecasting divided into Training Set 80% and Test Set 20%. Mean Square Error (MSE) was used for the evaluation model. The results showed that RNN-LTSM Approach optimized the model’s performance based on 5 stock asset companies used in this research. Therefore, the proposed model can be used to develop related forecasting or recommendation systems in the future to help investors consider the risks of investment and support investment decisions.
{"title":"Thailand Stock Index Forecasting Based on Multiple Data Sources Using RNN-LSTM Approach","authors":"P. Boonrawd, Korawat Phonyiam","doi":"10.1109/RI2C56397.2022.9910273","DOIUrl":"https://doi.org/10.1109/RI2C56397.2022.9910273","url":null,"abstract":"Stock investment is an interesting option that has attracted the attention of investors. This research presents Thailand Stock Index Forecasting, a case study of the Stock Exchange of Thailand (SET) applying Recurrent Neural Networks with Long Short-Term Memory (RNN-LTSM). The research used multiple data sources 15 years of SET Market Data from 2006 to 2020 for stock forecasting divided into Training Set 80% and Test Set 20%. Mean Square Error (MSE) was used for the evaluation model. The results showed that RNN-LTSM Approach optimized the model’s performance based on 5 stock asset companies used in this research. Therefore, the proposed model can be used to develop related forecasting or recommendation systems in the future to help investors consider the risks of investment and support investment decisions.","PeriodicalId":403083,"journal":{"name":"2022 Research, Invention, and Innovation Congress: Innovative Electricals and Electronics (RI2C)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128283954","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 : 2022-08-04DOI: 10.1109/RI2C56397.2022.9910279
Zohreh Shahrouei, Mahsa Rahmati, R. Gavagsaz-Ghoachani, M. Phattanasak, S. Pierfederici
The article presents a controller for a boost converter using flatness-based control. The developed model is close to the actual physical system thanks to the proposed observer to estimate the state variables and losses. Proposed controller can control both inductor current and output voltage in a one-loop structure, so there is no limitation on the system's bandwidth compared to the cascaded control. Simulation results are presented to validate the proposed method.
{"title":"One-loop sensorless flatness-based method for a nonideal boost converter","authors":"Zohreh Shahrouei, Mahsa Rahmati, R. Gavagsaz-Ghoachani, M. Phattanasak, S. Pierfederici","doi":"10.1109/RI2C56397.2022.9910279","DOIUrl":"https://doi.org/10.1109/RI2C56397.2022.9910279","url":null,"abstract":"The article presents a controller for a boost converter using flatness-based control. The developed model is close to the actual physical system thanks to the proposed observer to estimate the state variables and losses. Proposed controller can control both inductor current and output voltage in a one-loop structure, so there is no limitation on the system's bandwidth compared to the cascaded control. Simulation results are presented to validate the proposed method.","PeriodicalId":403083,"journal":{"name":"2022 Research, Invention, and Innovation Congress: Innovative Electricals and Electronics (RI2C)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115080753","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 : 2022-08-04DOI: 10.1109/RI2C56397.2022.9910263
Apirath Limmanee
In wireless physical-layer security, it is usually suggested in literature that eavesdroppers need to locate themselves near legitimate transmitters or receivers if they want to steal some secret key information. By means of scenario analysis, this paper shows that if the eavesdropper knows the channel statistics better than the legitimate stations, e.g., know the K-factor estimates of Rician fading channel, they can exploit these knowledges to derive some secret key information. We define a concept called “improper quantization decision loss $left(I_{I D L}right)$” as the entropy loss in the generated key that can be obtained by the eavesdropper. We show step-by-step how the eavesdropper can obtain such information. We also propose a mathematical expression and numerical value of $I_{I D L}$ based on empirical values of channel parameters available in literature. If the legitimate parties are aware of this approximated $I_{I D L}$, they will be able to design suitable privacy amplification scheme for preventing key information loss.
在无线物理层安全中，文献中通常建议，如果窃听者想要窃取一些密钥信息，则需要将自己定位在合法的发射器或接收器附近。通过场景分析，本文表明，如果窃听者比合法电台更了解信道统计信息，例如知道信道衰落的k因子估计，他们可以利用这些信息获得一些秘密密钥信息。我们定义了一个名为“不当量化决策损失$left(I_{I D L}right)$”的概念，作为生成的密钥中可以被窃听者获得的熵损失。我们将逐步展示窃听者如何获得这些信息。我们还根据文献中可用的通道参数的经验值提出了$I_{I D L}$的数学表达式和数值。如果合法方知道这个近似的$I_{I D L}$，他们将能够设计合适的隐私放大方案来防止密钥信息丢失。
{"title":"Scenario Analysis of Key Entropy Loss from Improper Quantization Decision in Wireless Physical-Layer Security","authors":"Apirath Limmanee","doi":"10.1109/RI2C56397.2022.9910263","DOIUrl":"https://doi.org/10.1109/RI2C56397.2022.9910263","url":null,"abstract":"In wireless physical-layer security, it is usually suggested in literature that eavesdroppers need to locate themselves near legitimate transmitters or receivers if they want to steal some secret key information. By means of scenario analysis, this paper shows that if the eavesdropper knows the channel statistics better than the legitimate stations, e.g., know the K-factor estimates of Rician fading channel, they can exploit these knowledges to derive some secret key information. We define a concept called “improper quantization decision loss $left(I_{I D L}right)$” as the entropy loss in the generated key that can be obtained by the eavesdropper. We show step-by-step how the eavesdropper can obtain such information. We also propose a mathematical expression and numerical value of $I_{I D L}$ based on empirical values of channel parameters available in literature. If the legitimate parties are aware of this approximated $I_{I D L}$, they will be able to design suitable privacy amplification scheme for preventing key information loss.","PeriodicalId":403083,"journal":{"name":"2022 Research, Invention, and Innovation Congress: Innovative Electricals and Electronics (RI2C)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129001175","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 : 2022-08-04DOI: 10.1109/RI2C56397.2022.9910310
Montree Chinsomboon, Pallop Piriyasurawong
Digital technology is really important in the present world for driving the national economy with the data-driven development at the age of big data. The arrival of the new Big Data Technology becomes an important instrument for driving organizations to be effective with higher competitive ability. Therefore, big data is popularly used in all industries as well as in graduate production of the universities for improving educational quality. In this paper, the focus is on big data for higher education by presenting big data analytics for producing pre-teacher of higher education in accordance with the need for pre-teacher preparation in Thailand framework.
{"title":"Big data Analytics for Pre-Teacher Preparation of Higher Education in Thailand","authors":"Montree Chinsomboon, Pallop Piriyasurawong","doi":"10.1109/RI2C56397.2022.9910310","DOIUrl":"https://doi.org/10.1109/RI2C56397.2022.9910310","url":null,"abstract":"Digital technology is really important in the present world for driving the national economy with the data-driven development at the age of big data. The arrival of the new Big Data Technology becomes an important instrument for driving organizations to be effective with higher competitive ability. Therefore, big data is popularly used in all industries as well as in graduate production of the universities for improving educational quality. In this paper, the focus is on big data for higher education by presenting big data analytics for producing pre-teacher of higher education in accordance with the need for pre-teacher preparation in Thailand framework.","PeriodicalId":403083,"journal":{"name":"2022 Research, Invention, and Innovation Congress: Innovative Electricals and Electronics (RI2C)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127255805","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 : 2022-08-04DOI: 10.1109/RI2C56397.2022.9910278
M. Rezvani, A. Gholami, R. Gavagsaz-Ghoachani, M. Phattanasak, M. Zandi
Due to the upsurge in energy demand as well as the numerous problems associated with the use of nonrenewable energies, such as environmental concerns, alternative energies are needed. Solar energy is among the most attractive options, but as with any renewable energy, its reliance on the environment creates uncertainty. This paper presents a comprehensive analysis of the recent and related studies investigating the influential factors on solar photovoltaic panel performance. The literature review reveals that environmental factors, especially dust, predominantly influence solar photovoltaic panel operation. Evaluation of the interaction between each of these factors, solar photovoltaic panel factors, and dust is performed in this study. These findings will be useful to those involved in the study, experiment, design and development of solar photovoltaic systems, particularly in dusty areas.
{"title":"A review of the factors affecting the utilization of solar photovoltaic panels","authors":"M. Rezvani, A. Gholami, R. Gavagsaz-Ghoachani, M. Phattanasak, M. Zandi","doi":"10.1109/RI2C56397.2022.9910278","DOIUrl":"https://doi.org/10.1109/RI2C56397.2022.9910278","url":null,"abstract":"Due to the upsurge in energy demand as well as the numerous problems associated with the use of nonrenewable energies, such as environmental concerns, alternative energies are needed. Solar energy is among the most attractive options, but as with any renewable energy, its reliance on the environment creates uncertainty. This paper presents a comprehensive analysis of the recent and related studies investigating the influential factors on solar photovoltaic panel performance. The literature review reveals that environmental factors, especially dust, predominantly influence solar photovoltaic panel operation. Evaluation of the interaction between each of these factors, solar photovoltaic panel factors, and dust is performed in this study. These findings will be useful to those involved in the study, experiment, design and development of solar photovoltaic systems, particularly in dusty areas.","PeriodicalId":403083,"journal":{"name":"2022 Research, Invention, and Innovation Congress: Innovative Electricals and Electronics (RI2C)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132092168","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 : 2022-08-04DOI: 10.1109/RI2C56397.2022.9910277
Kitiphon Sukpreecha, K. Phaebua, T. Lertwiriyaprapa, K. Lertsakwimarn, D. Torrungrueng
This paper presents small-antenna radiation pattern measurements using the spherical near-field measurement technique. A small radio frequency identification (RFID) tag antenna is employed in this study, where its size of 52.5$times$ 39 mm2 at the operating frequency of 922.5 MHz. The minimum measurement range for the near-field measurement is studied in this paper. The spherical wave expansion is employed as a near-field to far-field (NF-FF) transformation algorithm, where the numerical integration is employed to evaluate associated double integration. The far-field radiation pattern of the antenna under test (AUT) is simulated by three-dimensional (3D) electromagnetic (EM) software. It is found that the simulated radiation patterns and the radiation patterns from numerical NF-FF transformation are in good agreement. Therefore, the near-field measurement can be performed inside a small and low-cost anechoic chamber room.
{"title":"Radiation Pattern Measurements of Small Antennas Using Spherical Near-field Measurement Technique","authors":"Kitiphon Sukpreecha, K. Phaebua, T. Lertwiriyaprapa, K. Lertsakwimarn, D. Torrungrueng","doi":"10.1109/RI2C56397.2022.9910277","DOIUrl":"https://doi.org/10.1109/RI2C56397.2022.9910277","url":null,"abstract":"This paper presents small-antenna radiation pattern measurements using the spherical near-field measurement technique. A small radio frequency identification (RFID) tag antenna is employed in this study, where its size of 52.5$times$ 39 mm2 at the operating frequency of 922.5 MHz. The minimum measurement range for the near-field measurement is studied in this paper. The spherical wave expansion is employed as a near-field to far-field (NF-FF) transformation algorithm, where the numerical integration is employed to evaluate associated double integration. The far-field radiation pattern of the antenna under test (AUT) is simulated by three-dimensional (3D) electromagnetic (EM) software. It is found that the simulated radiation patterns and the radiation patterns from numerical NF-FF transformation are in good agreement. Therefore, the near-field measurement can be performed inside a small and low-cost anechoic chamber room.","PeriodicalId":403083,"journal":{"name":"2022 Research, Invention, and Innovation Congress: Innovative Electricals and Electronics (RI2C)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133571354","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 : 2022-08-04DOI: 10.1109/RI2C56397.2022.9910264
C. Phromsuthirak, Orawan Chunhapran, Maposee Hama, P. Boonrawd, Siranee Nuchitprasitchai
COVID-19 Pandemic affects daily life and the global economy. The COVID-19 virus can be spread by small liquid particles, which can be filtered using a face mask. Wearing masks in public areas is an excellent approach to preventing illness. As a result, mask detection is necessary to stop the spread of the disease before a person enters the facility. Regarding Single Shot Multibox Detector-MobileNetV2 (SSD-MobileNetV2) was used in this research to build tools to detect and monitor unmasked people in the facility or working rooms that consist of many people. In this paper, we showed the experimental performance of SSDMobileNetv2 based on an application that runs on an edge device to detect unmasked people in the room and compromise with very high accuracy of 97% in rooms smaller than 16 square meters, which is sufficient to detect the wearing of masks in public places or various locations.
{"title":"A Real-Time Unmasked Detection Using SSD-MobileNetV2 on Edge Device for the COVID-19 Pandemic","authors":"C. Phromsuthirak, Orawan Chunhapran, Maposee Hama, P. Boonrawd, Siranee Nuchitprasitchai","doi":"10.1109/RI2C56397.2022.9910264","DOIUrl":"https://doi.org/10.1109/RI2C56397.2022.9910264","url":null,"abstract":"COVID-19 Pandemic affects daily life and the global economy. The COVID-19 virus can be spread by small liquid particles, which can be filtered using a face mask. Wearing masks in public areas is an excellent approach to preventing illness. As a result, mask detection is necessary to stop the spread of the disease before a person enters the facility. Regarding Single Shot Multibox Detector-MobileNetV2 (SSD-MobileNetV2) was used in this research to build tools to detect and monitor unmasked people in the facility or working rooms that consist of many people. In this paper, we showed the experimental performance of SSDMobileNetv2 based on an application that runs on an edge device to detect unmasked people in the room and compromise with very high accuracy of 97% in rooms smaller than 16 square meters, which is sufficient to detect the wearing of masks in public places or various locations.","PeriodicalId":403083,"journal":{"name":"2022 Research, Invention, and Innovation Congress: Innovative Electricals and Electronics (RI2C)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117133355","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 : 2022-08-04DOI: 10.1109/RI2C56397.2022.9910276
Farinaz Nemati, R. Gavagsaz-Ghoachani, M. Phattanasak
With the growth of population and industrialization of societies, the need for energy has increased. Due to the limited resources of non-renewable energy and the creation of various types of pollution, they should be replaced. Nowadays, renewable energy systems have been considered due to their compatibility with the environment. Polymer electrolyte fuel cells (PEMFCs) are an example of the use of renewable energy systems. PEMFCs, along with all their advantages, face the challenge of durability. The Snowball effect is a phenomenon that is followed by continuous reactions that reduce the durability of PEMFCs. The cause of this effect is the existence of various heterogeneities in fuel cells, which are controlled by water management through the current management strategy. On the other hand, efficient content training is valuable and necessary because it leads to a better understanding and, ultimately, progress in the field of fuel cells. With the spread of the Coronavirus and the virtualization of education, the need for change and diversity in education became more and more felt. Also, with the advancement of technology, it is better to use all available facilities to improve education. In this article, the effect of snowball and its solution has been easily taught by using new educational methods and visual abstracts.
{"title":"Teaching the snowball effect on polymer electrolyte fuel cells through visual abstract","authors":"Farinaz Nemati, R. Gavagsaz-Ghoachani, M. Phattanasak","doi":"10.1109/RI2C56397.2022.9910276","DOIUrl":"https://doi.org/10.1109/RI2C56397.2022.9910276","url":null,"abstract":"With the growth of population and industrialization of societies, the need for energy has increased. Due to the limited resources of non-renewable energy and the creation of various types of pollution, they should be replaced. Nowadays, renewable energy systems have been considered due to their compatibility with the environment. Polymer electrolyte fuel cells (PEMFCs) are an example of the use of renewable energy systems. PEMFCs, along with all their advantages, face the challenge of durability. The Snowball effect is a phenomenon that is followed by continuous reactions that reduce the durability of PEMFCs. The cause of this effect is the existence of various heterogeneities in fuel cells, which are controlled by water management through the current management strategy. On the other hand, efficient content training is valuable and necessary because it leads to a better understanding and, ultimately, progress in the field of fuel cells. With the spread of the Coronavirus and the virtualization of education, the need for change and diversity in education became more and more felt. Also, with the advancement of technology, it is better to use all available facilities to improve education. In this article, the effect of snowball and its solution has been easily taught by using new educational methods and visual abstracts.","PeriodicalId":403083,"journal":{"name":"2022 Research, Invention, and Innovation Congress: Innovative Electricals and Electronics (RI2C)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123490937","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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