Pub Date : 2023-05-09DOI: 10.1109/ECTI-CON58255.2023.10153181
Y. Chadavadh, T. Kasetkasem, T. Patrapornnant, Sirichai Parittotakapron, T. Isshiki
Even though agriculture practices have been continuously developed with the support of modern technologies, many more improvements can be made to enhance agricultural technologies and businesses. One such technology is the use of specific light color combinations to optimize the growth rate of plants. One obvious drawback is that plants’ color will change according to the light color combinations. The light color can fool human eyes and may cause errors when monitoring for plant anomalies. Color correction methods should be applied to help restore the natural plant color with the white light source from the unnaturally colored plant images. Our color correction method uses an application of self-dot-product attention, multi-head attention, and channel attention combined with a U-Net-based model. This proposed method performs the color correction with the input image in the RGB color space in two steps. First, a global transformation network provides the global function that maps the input RGB color vectors from every pixel and produces the corrected RGB color vectors. The global mapping function is the same for all pixels in the image. Next, a local transformation network attempts to correct the local color distortions such as light the flickering of LED light due to the AC power supplier.
{"title":"An Attention Mechanism Approach for Natural Color Retrieval for Plant Monitoring","authors":"Y. Chadavadh, T. Kasetkasem, T. Patrapornnant, Sirichai Parittotakapron, T. Isshiki","doi":"10.1109/ECTI-CON58255.2023.10153181","DOIUrl":"https://doi.org/10.1109/ECTI-CON58255.2023.10153181","url":null,"abstract":"Even though agriculture practices have been continuously developed with the support of modern technologies, many more improvements can be made to enhance agricultural technologies and businesses. One such technology is the use of specific light color combinations to optimize the growth rate of plants. One obvious drawback is that plants’ color will change according to the light color combinations. The light color can fool human eyes and may cause errors when monitoring for plant anomalies. Color correction methods should be applied to help restore the natural plant color with the white light source from the unnaturally colored plant images. Our color correction method uses an application of self-dot-product attention, multi-head attention, and channel attention combined with a U-Net-based model. This proposed method performs the color correction with the input image in the RGB color space in two steps. First, a global transformation network provides the global function that maps the input RGB color vectors from every pixel and produces the corrected RGB color vectors. The global mapping function is the same for all pixels in the image. Next, a local transformation network attempts to correct the local color distortions such as light the flickering of LED light due to the AC power supplier.","PeriodicalId":340768,"journal":{"name":"2023 20th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130798899","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 : 2023-05-09DOI: 10.1109/ECTI-CON58255.2023.10153263
P. Gomasang, Jutarat Tanarom
This study investigates the thermal effect on the high-current standard resistor (0.01 Ω) for the high direct-current (DC) source calibration. The resistance values measured by the Volt-Ampere method are shown as a function of ambient temperature and the applied current times. The full bias of the DC current limit (100%) of the resistor exposes a large change of resistance for both using and without using cooling fans. By using cooling fans according to the manual, the increasing rate of resistance decreases and becomes stable with a settling time >90 s for the bias DC current of 100% of the limit, leading to the suggestion of the specified period before measurement. The difference of resistance changes for the bias current of 10%, 50%, and 100% of the current limit are 1, 26, and 73 μΩ/Ω, respectively. It indicates that active cooling should be used seriously during high current bias through the standard resistor. The measurement results can be a guideline for improving the accuracy of the calibration process.
{"title":"A Study of Thermal Effect on High-Current Standard Resistor","authors":"P. Gomasang, Jutarat Tanarom","doi":"10.1109/ECTI-CON58255.2023.10153263","DOIUrl":"https://doi.org/10.1109/ECTI-CON58255.2023.10153263","url":null,"abstract":"This study investigates the thermal effect on the high-current standard resistor (0.01 Ω) for the high direct-current (DC) source calibration. The resistance values measured by the Volt-Ampere method are shown as a function of ambient temperature and the applied current times. The full bias of the DC current limit (100%) of the resistor exposes a large change of resistance for both using and without using cooling fans. By using cooling fans according to the manual, the increasing rate of resistance decreases and becomes stable with a settling time >90 s for the bias DC current of 100% of the limit, leading to the suggestion of the specified period before measurement. The difference of resistance changes for the bias current of 10%, 50%, and 100% of the current limit are 1, 26, and 73 μΩ/Ω, respectively. It indicates that active cooling should be used seriously during high current bias through the standard resistor. The measurement results can be a guideline for improving the accuracy of the calibration process.","PeriodicalId":340768,"journal":{"name":"2023 20th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)","volume":"623 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134546343","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 : 2023-05-09DOI: 10.1109/ECTI-CON58255.2023.10153167
Mahin Khan Mahadi, Samiur Rashid Abir, Al-Muzadded Moon, Muhammad Adnan, Mohd Abdun Nafee Islam Khan, M. M. Nishat, FAHIM FAISAL, Md. Taslim Reza
Over the past several years, there has been a global rise in the prevalence of prostate cancer. It was discovered that prostate cancer is the most often diagnosed cancer category amongst men and it can be stated as the main cause of cancer-related mortality worldwide among males. Diagnosing illnesses is one of the greatest obstacles in medicine. This study was crucial due to the lack of precise standards for the evaluation of prostate cancer symptoms and the low predictive accuracy of current diagnostic approaches. It is believed that machine learning approaches may be used to solve situations when there are no precise and defined rules and where the event-influencing aspects can be predicted. Computer-aided systems produce a variety of solutions with this knowledge. In this study, the performance of various supervised machine learning algorithms (SVC, LR, AdaBoost (Ada B), XG Boost (XGB), KNC, LGBM, GB, DT, and RF) is compared and discussed. In this study, we acquired data from Kaggle consisting of 100 cases and 10 characteristics. In our model, we initially determined the maximum accuracy for XGB, LGBM, and RF to be 93.33 percent. Eventually, we used GridsearchCV to tune hyperparameters in order to improve the performance of the classifiers. This time, the highest accuracy was determined to be 96.67% not just for those three, but also for GB as a whole. The most noteworthy finding of this study is the improvement in accuracy and consistency of predictions. Therefore, if the computer is educated with machine learning methods using patient data, it can be therapeutically beneficial in predicting cancer with a high degree of accuracy. In this method, an unnecessary patient biopsy can be avoided.
{"title":"Machine Learning Assisted Decision Support System for Prediction of Prostrate Cancer","authors":"Mahin Khan Mahadi, Samiur Rashid Abir, Al-Muzadded Moon, Muhammad Adnan, Mohd Abdun Nafee Islam Khan, M. M. Nishat, FAHIM FAISAL, Md. Taslim Reza","doi":"10.1109/ECTI-CON58255.2023.10153167","DOIUrl":"https://doi.org/10.1109/ECTI-CON58255.2023.10153167","url":null,"abstract":"Over the past several years, there has been a global rise in the prevalence of prostate cancer. It was discovered that prostate cancer is the most often diagnosed cancer category amongst men and it can be stated as the main cause of cancer-related mortality worldwide among males. Diagnosing illnesses is one of the greatest obstacles in medicine. This study was crucial due to the lack of precise standards for the evaluation of prostate cancer symptoms and the low predictive accuracy of current diagnostic approaches. It is believed that machine learning approaches may be used to solve situations when there are no precise and defined rules and where the event-influencing aspects can be predicted. Computer-aided systems produce a variety of solutions with this knowledge. In this study, the performance of various supervised machine learning algorithms (SVC, LR, AdaBoost (Ada B), XG Boost (XGB), KNC, LGBM, GB, DT, and RF) is compared and discussed. In this study, we acquired data from Kaggle consisting of 100 cases and 10 characteristics. In our model, we initially determined the maximum accuracy for XGB, LGBM, and RF to be 93.33 percent. Eventually, we used GridsearchCV to tune hyperparameters in order to improve the performance of the classifiers. This time, the highest accuracy was determined to be 96.67% not just for those three, but also for GB as a whole. The most noteworthy finding of this study is the improvement in accuracy and consistency of predictions. Therefore, if the computer is educated with machine learning methods using patient data, it can be therapeutically beneficial in predicting cancer with a high degree of accuracy. In this method, an unnecessary patient biopsy can be avoided.","PeriodicalId":340768,"journal":{"name":"2023 20th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132070618","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 : 2023-05-09DOI: 10.1109/ECTI-CON58255.2023.10153301
Nasith Laosen, Kanjana Laosen, Jaturawit Ardharn
Social media makes healthcare and medical information readily available to medical tourists. The medical tourists use social media for searching and communicating about their intents. As the questions posted on social media are rapidly increased, the difficulty to read all questions by human is increased as well. Hospitals running medical tourism business also need to know the needs of medical tourists for improving services and providing the right products to them. The needs or intents of medical tourists can be found on questions that they ask. Therefore, the objective of this study is to collect and classify intents of medical tourists from the questions posted on online forums. In this study, we collect questions related to medical tourism from the TripAdvisor website. We use natural language processing (NLP) to pre-process the questions and classify them using two neural network models, i.e., a BiLSTM model and a BERT model. The experimental result shows that the BERT model provides better performance with 94.22% of accuracy. We also analyze the results and summarize shortcomings of the dataset and the models.
{"title":"Intent Classification from Online Forums for Phuket Medical Tourism","authors":"Nasith Laosen, Kanjana Laosen, Jaturawit Ardharn","doi":"10.1109/ECTI-CON58255.2023.10153301","DOIUrl":"https://doi.org/10.1109/ECTI-CON58255.2023.10153301","url":null,"abstract":"Social media makes healthcare and medical information readily available to medical tourists. The medical tourists use social media for searching and communicating about their intents. As the questions posted on social media are rapidly increased, the difficulty to read all questions by human is increased as well. Hospitals running medical tourism business also need to know the needs of medical tourists for improving services and providing the right products to them. The needs or intents of medical tourists can be found on questions that they ask. Therefore, the objective of this study is to collect and classify intents of medical tourists from the questions posted on online forums. In this study, we collect questions related to medical tourism from the TripAdvisor website. We use natural language processing (NLP) to pre-process the questions and classify them using two neural network models, i.e., a BiLSTM model and a BERT model. The experimental result shows that the BERT model provides better performance with 94.22% of accuracy. We also analyze the results and summarize shortcomings of the dataset and the models.","PeriodicalId":340768,"journal":{"name":"2023 20th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130282198","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 : 2023-05-09DOI: 10.1109/ECTI-CON58255.2023.10153129
Thummatus Boonlerd, Pakorn Ubolkosold
The imaging processing is the popular method to create AI system for applications. The purposes of developers are to create the module that contains microprocessor and thermal imaging module to achieve the purposes. First, to study hardware programming since hardware programming is more difficult than normal programming. Second, for linked with the applications those use thermal imaging. Third, study the limit of microprocessors especially Arduino UNO.
{"title":"Development of Thermal Imaging Module With Multiple Types of Microprocessor for Support Various Applications","authors":"Thummatus Boonlerd, Pakorn Ubolkosold","doi":"10.1109/ECTI-CON58255.2023.10153129","DOIUrl":"https://doi.org/10.1109/ECTI-CON58255.2023.10153129","url":null,"abstract":"The imaging processing is the popular method to create AI system for applications. The purposes of developers are to create the module that contains microprocessor and thermal imaging module to achieve the purposes. First, to study hardware programming since hardware programming is more difficult than normal programming. Second, for linked with the applications those use thermal imaging. Third, study the limit of microprocessors especially Arduino UNO.","PeriodicalId":340768,"journal":{"name":"2023 20th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)","volume":"55 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132242092","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 : 2023-05-09DOI: 10.1109/ECTI-CON58255.2023.10153322
S. Wisetphanichkij, K. Angkeaw, Napat Sra-ium
This paper presents a minimal design of biquad circuit using only one plus current output type-II current conveyor (CCII), one differential voltage current conveyor (DVCC) and grounded passive components. The circuit enables all 5 basic filter types, low-pass (LP), band-pass (BP), high-pass (HP), band-stop (BS) and all-pass (AP) implementation by the selection and addition of the input and output currents with no component matching constraints. Moreover, the circuit parameters $omega$0 and Q can be set simply by adjusting the circuit components. The proposed biquad circuit performance has very low sensitivity to circuit components due to its simple structure and small number of devices (2 active and 4 grounded passive components). This allows the circuit to work at high frequencies. The performance of the proposed topology was evaluated through PSPICE simulator using the 0. 1S$mu$m CMOS technology from the Taiwan Semiconductor Manufacturing Company (TSMC).
本文提出了一种仅使用一个正电流输出型电流输送器(CCII)、一个差动电压电流输送器(DVCC)和接地无源元件的最小双路电路设计。该电路支持所有5种基本滤波器类型，低通(LP)、带通(BP)、高通(HP)、带阻(BS)和全通(AP)，通过选择和添加输入和输出电流而不受元件匹配约束。此外，电路参数$omega$ 0和Q可以简单地通过调整电路元件来设置。所提出的双路电路性能由于其结构简单，器件数量少(2个有源元件和4个接地无源元件)，对电路元件的灵敏度非常低。这使得电路可以在高频下工作。通过PSPICE模拟器对该拓扑的性能进行了评估。1S $mu$ m CMOS技术来自台湾积电(TSMC)。
{"title":"Minimal Realization Plus Current Output CC-based Biquad Circuit","authors":"S. Wisetphanichkij, K. Angkeaw, Napat Sra-ium","doi":"10.1109/ECTI-CON58255.2023.10153322","DOIUrl":"https://doi.org/10.1109/ECTI-CON58255.2023.10153322","url":null,"abstract":"This paper presents a minimal design of biquad circuit using only one plus current output type-II current conveyor (CCII), one differential voltage current conveyor (DVCC) and grounded passive components. The circuit enables all 5 basic filter types, low-pass (LP), band-pass (BP), high-pass (HP), band-stop (BS) and all-pass (AP) implementation by the selection and addition of the input and output currents with no component matching constraints. Moreover, the circuit parameters $omega$0 and Q can be set simply by adjusting the circuit components. The proposed biquad circuit performance has very low sensitivity to circuit components due to its simple structure and small number of devices (2 active and 4 grounded passive components). This allows the circuit to work at high frequencies. The performance of the proposed topology was evaluated through PSPICE simulator using the 0. 1S$mu$m CMOS technology from the Taiwan Semiconductor Manufacturing Company (TSMC).","PeriodicalId":340768,"journal":{"name":"2023 20th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134451639","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 : 2023-05-09DOI: 10.1109/ECTI-CON58255.2023.10153236
Pattanadej Chaengsrisuk, Napa Sae-Bae
GAN inversion is a type of generative adversarial networks (GAN) models that can regenerate realistic images from real face photos and further perform image manipulation. While GAN inversion models can be useful for many purposes, it can be abused to generate harmfully fake contents also. This paper evaluates the performance of the recent In-domain GAN inversion model (IDInvert) regarding identity preservability and detectability of its generated face images. The experiments are conducted to answer the two main questions; how well IDInvert can imitate real face photos and how well existing image classification techniques can distinguish its generated images from the real ones. The results show that generated images do not preserve personal identity and thus significantly loss similarity to their reference photos. In addition, common machine learning classifiers can modestly distinguish these generated images from real photos with 0.87 accuracy. This indicates that the recent IDInvert model’s ability to imitate real faces is not yet perfect and hazardous, and its generated images are still simply detected.
{"title":"Identity Preservability and Detectability of IDInvert GAN Model","authors":"Pattanadej Chaengsrisuk, Napa Sae-Bae","doi":"10.1109/ECTI-CON58255.2023.10153236","DOIUrl":"https://doi.org/10.1109/ECTI-CON58255.2023.10153236","url":null,"abstract":"GAN inversion is a type of generative adversarial networks (GAN) models that can regenerate realistic images from real face photos and further perform image manipulation. While GAN inversion models can be useful for many purposes, it can be abused to generate harmfully fake contents also. This paper evaluates the performance of the recent In-domain GAN inversion model (IDInvert) regarding identity preservability and detectability of its generated face images. The experiments are conducted to answer the two main questions; how well IDInvert can imitate real face photos and how well existing image classification techniques can distinguish its generated images from the real ones. The results show that generated images do not preserve personal identity and thus significantly loss similarity to their reference photos. In addition, common machine learning classifiers can modestly distinguish these generated images from real photos with 0.87 accuracy. This indicates that the recent IDInvert model’s ability to imitate real faces is not yet perfect and hazardous, and its generated images are still simply detected.","PeriodicalId":340768,"journal":{"name":"2023 20th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133764621","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 : 2023-05-09DOI: 10.1109/ECTI-CON58255.2023.10153262
N. Thaitae, C. Summatta, P. Prabpal, B. Yosrueangsak, S. Sonasang
This paper presents a solution to hybrid systems usage by installing electric vehicles to solve the hybrid photovoltaic (PV) and energy storage system (ESS) for the demand charging station problem. The research used a method for hybrid installing the system in a microgrid distribution system. The IEEE 13 bus standard was applied to test the installation system with a computer program. The program was tested with the Open electric power distribution (OpenDSS) program, a simulator for electric distribution. It was simulated continuously loading within 24 hours of installation of EV charging station, PV and ESS at 680 bus as it is the last bus of the microgrid system. OpenDSS was developed to implement hybrid under the condition that the PV size is 0. 4SkW, 2000 kW, and the ESS size is 500 kW, 3000 kVAR. The EV battery with a power of 4. SkW. The active power under the condition adds hybrid systems under the condition PV-EV, PV-ESS, and PV-ESS-EV. The results of the study on the installation of hybrid systems in the microgrid system. The comparison between the standard and the installed system showed that the maximum and minimum values of the percentage system were almost the same for the sum of both active and reactive power supply. There are similar values with a percentage difference of less than 1 %, while the power loss in both active and reactive systems have a percentage difference that is less than 1 %. The installed hybrid systems do not affect the tested system in the microgrid systems.
{"title":"Hybrid PV and BES for EV Charging Stations in Microgrid Systems","authors":"N. Thaitae, C. Summatta, P. Prabpal, B. Yosrueangsak, S. Sonasang","doi":"10.1109/ECTI-CON58255.2023.10153262","DOIUrl":"https://doi.org/10.1109/ECTI-CON58255.2023.10153262","url":null,"abstract":"This paper presents a solution to hybrid systems usage by installing electric vehicles to solve the hybrid photovoltaic (PV) and energy storage system (ESS) for the demand charging station problem. The research used a method for hybrid installing the system in a microgrid distribution system. The IEEE 13 bus standard was applied to test the installation system with a computer program. The program was tested with the Open electric power distribution (OpenDSS) program, a simulator for electric distribution. It was simulated continuously loading within 24 hours of installation of EV charging station, PV and ESS at 680 bus as it is the last bus of the microgrid system. OpenDSS was developed to implement hybrid under the condition that the PV size is 0. 4SkW, 2000 kW, and the ESS size is 500 kW, 3000 kVAR. The EV battery with a power of 4. SkW. The active power under the condition adds hybrid systems under the condition PV-EV, PV-ESS, and PV-ESS-EV. The results of the study on the installation of hybrid systems in the microgrid system. The comparison between the standard and the installed system showed that the maximum and minimum values of the percentage system were almost the same for the sum of both active and reactive power supply. There are similar values with a percentage difference of less than 1 %, while the power loss in both active and reactive systems have a percentage difference that is less than 1 %. The installed hybrid systems do not affect the tested system in the microgrid systems.","PeriodicalId":340768,"journal":{"name":"2023 20th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126825147","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 : 2023-05-09DOI: 10.1109/ECTI-CON58255.2023.10153225
S. Sitjongsataporn, S. Prongnuch, T. Wiangtong
Diffusion adaptation on spline adaptive filtering (SAF)is presented with combine-then-adapt (CTA) strategy for each node. SAF consists of an adaptive linear filtering and a spline interpolation function. Normalised least mean square algorithm is furnished in the adaptive linear filtering part. An adaptive averaging step-size mechanism is applied for both tap-weight vector of linear and nonlinear filtering parts to provide the fast convergence with low computation complexity. Statistical results testify that the proposed diffusion algorithm is able to provide promising and competitive results to the conventional diffusion strategy algorithm.
{"title":"Diffusion Spline Adaptive Filtering with Adaptive Step-size Normalised Least Mean Square Algorithm","authors":"S. Sitjongsataporn, S. Prongnuch, T. Wiangtong","doi":"10.1109/ECTI-CON58255.2023.10153225","DOIUrl":"https://doi.org/10.1109/ECTI-CON58255.2023.10153225","url":null,"abstract":"Diffusion adaptation on spline adaptive filtering (SAF)is presented with combine-then-adapt (CTA) strategy for each node. SAF consists of an adaptive linear filtering and a spline interpolation function. Normalised least mean square algorithm is furnished in the adaptive linear filtering part. An adaptive averaging step-size mechanism is applied for both tap-weight vector of linear and nonlinear filtering parts to provide the fast convergence with low computation complexity. Statistical results testify that the proposed diffusion algorithm is able to provide promising and competitive results to the conventional diffusion strategy algorithm.","PeriodicalId":340768,"journal":{"name":"2023 20th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125636265","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 : 2023-05-09DOI: 10.1109/ECTI-CON58255.2023.10153358
M. Tangjitjetsada, Thanakarn Suangun, W. Chanwattanapong, C. Mahatthanajatuphat, Kanyanat Phimthai, P. Akkaraekthalin
A multiband tri-branch monopole antenna is presented. The antenna structure is constructed of radiating patches with three branches. It is fed by a microstrip transmission line. Essentially, the antenna is a simple structure created by a step impedance technique. In addition, the antenna can be separately regulated for each operational frequency band of 2.44 GHz, 3.36 GHz, and 5.52 GHz by the height of a central patch, a right patch with a thin strip line, and a small patch on the left, respectively. The antenna is manufactured on a size of 50x35 mm2 FR4 substrate with a thickness of 0.8 mm and a permittivity of 4.3. The suggested antenna is appropriate for network board internet of things (NB-IoT) technology working at 2.4 GHz/5.2 GHz/5.8 GHz (WLAN), 3.5 GHz (WiMAX), and 2.3 GHz/2.6 GHz/3.5 GHz (5G technology). The antenna’s radiation pattern is omnidirectional, and its average gain is approximately 2dBi.
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