Pub Date : 2023-02-05DOI: 10.1109/ICEIC57457.2023.10049891
Jun-Cheol Lee, Tae-Oh Kim, Joo-Hyung Chae
Since the Inter-Integrated Circuit (I2C) development, many efforts have been made to increase stability. The error due to the timing parameter is also one of the factors that hinder stability. In this paper, we model the I2C slave using Verilog and then perform a simple read/write operation to investigate timing parameter errors. As a solution, we present a timing parameter error detection module for the I2C protocol. The proposed module is developed based on the I2C standard mode to verify the behavior of I2C by identifying timing errors.
{"title":"Module Implementation and Simulation of Timing Constraint Check Function of I2C Protocol Using Verilog","authors":"Jun-Cheol Lee, Tae-Oh Kim, Joo-Hyung Chae","doi":"10.1109/ICEIC57457.2023.10049891","DOIUrl":"https://doi.org/10.1109/ICEIC57457.2023.10049891","url":null,"abstract":"Since the Inter-Integrated Circuit (I2C) development, many efforts have been made to increase stability. The error due to the timing parameter is also one of the factors that hinder stability. In this paper, we model the I2C slave using Verilog and then perform a simple read/write operation to investigate timing parameter errors. As a solution, we present a timing parameter error detection module for the I2C protocol. The proposed module is developed based on the I2C standard mode to verify the behavior of I2C by identifying timing errors.","PeriodicalId":373752,"journal":{"name":"2023 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125901969","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 : 2023-02-05DOI: 10.1109/ICEIC57457.2023.10049890
Mark Allen Cabutaje, Kenneth Ang Brondial, Alyssa Franchesca Obillo, Mideth B. Abisado, Shekinah Lor B. Huyo-a, G. Sampedro
Deaf people communicate best through sign language. It is one of the most vital languages worldwide. Sign languages, like spoken languages, are sophisticated, naturally formed structures that are arranged around a set of conversational activities. In the Philippines, practicing Filipino Sign Language (FSL) already had improved communication for deaf people. However, the community’s main difficulty is that most Filipinos do not comprehend or use FSL. Within the deaf community, these gestures, whether ASL or FSL, are still limited. People who are normal and hearing would never attempt to learn sign language. This results in a significant communication gap between the deaf and the hearing. Human translators are needed in order for deaf people to be understood. While they can be helpful, they are not always available or attainable. Filipino Sign Language Alphabet Recognition using Convolutional Neural Networks (CNN) is proposed to address this growing challenge. The proposed solution can recognize and forecast a letter using an image training model. The model peaked at the 15th epoch, with an accuracy rate of 92% and validation accuracy of 93%. The study aims to bridge the gaps between the deaf community with the hearing in the Philippines.
{"title":"Ano Raw: A Deep Learning Based Approach to Transliterating the Filipino Sign Language","authors":"Mark Allen Cabutaje, Kenneth Ang Brondial, Alyssa Franchesca Obillo, Mideth B. Abisado, Shekinah Lor B. Huyo-a, G. Sampedro","doi":"10.1109/ICEIC57457.2023.10049890","DOIUrl":"https://doi.org/10.1109/ICEIC57457.2023.10049890","url":null,"abstract":"Deaf people communicate best through sign language. It is one of the most vital languages worldwide. Sign languages, like spoken languages, are sophisticated, naturally formed structures that are arranged around a set of conversational activities. In the Philippines, practicing Filipino Sign Language (FSL) already had improved communication for deaf people. However, the community’s main difficulty is that most Filipinos do not comprehend or use FSL. Within the deaf community, these gestures, whether ASL or FSL, are still limited. People who are normal and hearing would never attempt to learn sign language. This results in a significant communication gap between the deaf and the hearing. Human translators are needed in order for deaf people to be understood. While they can be helpful, they are not always available or attainable. Filipino Sign Language Alphabet Recognition using Convolutional Neural Networks (CNN) is proposed to address this growing challenge. The proposed solution can recognize and forecast a letter using an image training model. The model peaked at the 15th epoch, with an accuracy rate of 92% and validation accuracy of 93%. The study aims to bridge the gaps between the deaf community with the hearing in the Philippines.","PeriodicalId":373752,"journal":{"name":"2023 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125435406","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 : 2023-02-05DOI: 10.1109/ICEIC57457.2023.10049972
Soungchul Park, Wooyoung Kim, Suhwan Kim, Jooyeol Rhee
This paper introduces a pulse oximeter front-end with low-noise area-efficient offset cancellation current digital-to-analog converter (DAC). The proposed offset cancellation current DAC is implemented to cancel the input DC current to improve the effective dynamic range (DR). The current DAC is designed to have low-noise and area-efficient characteristics by applying the dynamic element matching technique and reducing the number of idle current mirror transistors. It can generate a current of up to 256 μA. Due to the offset cancellation of the current DAC, the proposed pulse oximeter has a signal-to-noise ratio of 77.4 dB and an effective DR of 133.3 dB. The pulse oximeter front-end is designed in 0.13 μm CMOS and consumes 307.1 μW from a 1.65 V supply. The figure-of-merit is 0.81 pJ/Sample.
{"title":"A 133.3 dB Dynamic Range Pulse Oximeter Front-End with Low-Noise Area-Efficient Offset Cancellation Current DAC","authors":"Soungchul Park, Wooyoung Kim, Suhwan Kim, Jooyeol Rhee","doi":"10.1109/ICEIC57457.2023.10049972","DOIUrl":"https://doi.org/10.1109/ICEIC57457.2023.10049972","url":null,"abstract":"This paper introduces a pulse oximeter front-end with low-noise area-efficient offset cancellation current digital-to-analog converter (DAC). The proposed offset cancellation current DAC is implemented to cancel the input DC current to improve the effective dynamic range (DR). The current DAC is designed to have low-noise and area-efficient characteristics by applying the dynamic element matching technique and reducing the number of idle current mirror transistors. It can generate a current of up to 256 μA. Due to the offset cancellation of the current DAC, the proposed pulse oximeter has a signal-to-noise ratio of 77.4 dB and an effective DR of 133.3 dB. The pulse oximeter front-end is designed in 0.13 μm CMOS and consumes 307.1 μW from a 1.65 V supply. The figure-of-merit is 0.81 pJ/Sample.","PeriodicalId":373752,"journal":{"name":"2023 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"1473 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120876638","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 : 2023-02-05DOI: 10.1109/ICEIC57457.2023.10049806
Kibae Lee, Ghun Hyeok Ko, C. Lee, Yoon-Sang Jeong
The brain computer interfaces (BCIs) offer a possibility of communication for people with computer. Event related potential (ERP) and steady-state visual evoked potential (SSVEP) studies using simple images were mainly conducted to observe brain response characteristics to visual stimuli. In this paper, we present a Visual BCI dataset according to the presence or absence of a target in a still image and analyze the performance of various feature extraction and classification algorithms. Throughout various experiments, the proposed variance and mean ratio (VMR) based on Takens' delay embedding showed the best average accuracy from 69.23 to 76.40%.
{"title":"Detection Performance Analysis based on EEG Signal for Visual BCI","authors":"Kibae Lee, Ghun Hyeok Ko, C. Lee, Yoon-Sang Jeong","doi":"10.1109/ICEIC57457.2023.10049806","DOIUrl":"https://doi.org/10.1109/ICEIC57457.2023.10049806","url":null,"abstract":"The brain computer interfaces (BCIs) offer a possibility of communication for people with computer. Event related potential (ERP) and steady-state visual evoked potential (SSVEP) studies using simple images were mainly conducted to observe brain response characteristics to visual stimuli. In this paper, we present a Visual BCI dataset according to the presence or absence of a target in a still image and analyze the performance of various feature extraction and classification algorithms. Throughout various experiments, the proposed variance and mean ratio (VMR) based on Takens' delay embedding showed the best average accuracy from 69.23 to 76.40%.","PeriodicalId":373752,"journal":{"name":"2023 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130443940","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 : 2023-02-05DOI: 10.1109/ICEIC57457.2023.10049868
Kihak Lee, M. J. Islam, Heji Lee, Wolyoung Kim, Sungjae Lee, Bong-Seub Kim
This study concentrated on low-cost greenhouse environmental monitoring systems for intelligent farms. A small greenhouse that uses data comparison to autonomously manage the greenhouse's climate and the growth conditions of planted plants is built. The ESP32, a cheap microcontroller, a Raspberry Pi minicomputer, and environmental management sensors are used in the MQTT protocol on a local Wi-Fi network. It was able to verify the energy-saving effect since the grid-type solar power system was built as a way to maximize energy efficiency during the study phase.
{"title":"IoT Based Intelligent Greenhouse Farming Technology with Low Cost and Energy Efficiency","authors":"Kihak Lee, M. J. Islam, Heji Lee, Wolyoung Kim, Sungjae Lee, Bong-Seub Kim","doi":"10.1109/ICEIC57457.2023.10049868","DOIUrl":"https://doi.org/10.1109/ICEIC57457.2023.10049868","url":null,"abstract":"This study concentrated on low-cost greenhouse environmental monitoring systems for intelligent farms. A small greenhouse that uses data comparison to autonomously manage the greenhouse's climate and the growth conditions of planted plants is built. The ESP32, a cheap microcontroller, a Raspberry Pi minicomputer, and environmental management sensors are used in the MQTT protocol on a local Wi-Fi network. It was able to verify the energy-saving effect since the grid-type solar power system was built as a way to maximize energy efficiency during the study phase.","PeriodicalId":373752,"journal":{"name":"2023 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133145241","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 : 2023-02-05DOI: 10.1109/ICEIC57457.2023.10049885
Seunghyon Lee, Hyuk-Ju Kwon, Sung-Hak Lee
Recently, the industry for autonomous driving is expanding rapidly. Therefore for a safe system, it require high lane detection performance. In this paper, we propose robust lane detection and a tracking algorithm even though under harsh environments. High lane detection accuracy can make more safe Lane Keeping Assist System(LKAS).
{"title":"Robust Lane Tracking for Harsh Driving Environments","authors":"Seunghyon Lee, Hyuk-Ju Kwon, Sung-Hak Lee","doi":"10.1109/ICEIC57457.2023.10049885","DOIUrl":"https://doi.org/10.1109/ICEIC57457.2023.10049885","url":null,"abstract":"Recently, the industry for autonomous driving is expanding rapidly. Therefore for a safe system, it require high lane detection performance. In this paper, we propose robust lane detection and a tracking algorithm even though under harsh environments. High lane detection accuracy can make more safe Lane Keeping Assist System(LKAS).","PeriodicalId":373752,"journal":{"name":"2023 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"140 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121251475","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 : 2023-02-05DOI: 10.1109/ICEIC57457.2023.10049913
Jeffrey P. Ng, Mideth B. Abisado, John Jherson Bofill, G. Sampedro
Despite the advancements in irrigation systems, many communities in the Philippines still use deep-well hand pumps to draw water from a groundwater source. Water drawn from this pump typically contains rust due to wear-and-tear and metal corrosion. To aid with this issue, this study aims to provide a solution to filter rust from the water so they can have clean water for non-drinking purposes. Specifically, an Internet of Things (IoT)-enabled device that serves as an automated floating water filter using hollow fibers as the filtration system is proposed. The proposed system shall serve as a means to notify users of water quality for possible preventive measures and maintenance work. This device will ease the trouble of unwanted particles and provide ease to residents using the manual pumping well.
{"title":"Development of an Automated Floating Water Filter Device Using Hollow Fibers","authors":"Jeffrey P. Ng, Mideth B. Abisado, John Jherson Bofill, G. Sampedro","doi":"10.1109/ICEIC57457.2023.10049913","DOIUrl":"https://doi.org/10.1109/ICEIC57457.2023.10049913","url":null,"abstract":"Despite the advancements in irrigation systems, many communities in the Philippines still use deep-well hand pumps to draw water from a groundwater source. Water drawn from this pump typically contains rust due to wear-and-tear and metal corrosion. To aid with this issue, this study aims to provide a solution to filter rust from the water so they can have clean water for non-drinking purposes. Specifically, an Internet of Things (IoT)-enabled device that serves as an automated floating water filter using hollow fibers as the filtration system is proposed. The proposed system shall serve as a means to notify users of water quality for possible preventive measures and maintenance work. This device will ease the trouble of unwanted particles and provide ease to residents using the manual pumping well.","PeriodicalId":373752,"journal":{"name":"2023 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121382085","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 : 2023-02-05DOI: 10.1109/ICEIC57457.2023.10049982
Se-Hun Kim, Chunmyung Park, Minseok Choi, Seung-Jin Yang, Kyujoong Lee, Hyuk-Jae Lee
This paper presents fine-grained data augmentation, a data augmentation method for deep neural network training that can be applied to tasks with a small number of images, such as in the medical field or vision-inspection tasks. For small-datasets, the number of images per class is usually unbalanced and overfitting occurs when training small-datasets. In this paper, data augmentation skills using generative adversarial network for image super-resolution tasks is presented. Data augmentation with generative adversarial network for image super-resolution tasks retains the overall shape and form, but changes only the details of features. The proposed method achieves better performance when training CIFAR-100 and CUB-200-2011 datasets from scratch. The proposed method is being actively developed to further improve the performance of image classification and will be applicable to object detection.
{"title":"Fine-Grained Data Augmentation using Generative Adversarial Networks","authors":"Se-Hun Kim, Chunmyung Park, Minseok Choi, Seung-Jin Yang, Kyujoong Lee, Hyuk-Jae Lee","doi":"10.1109/ICEIC57457.2023.10049982","DOIUrl":"https://doi.org/10.1109/ICEIC57457.2023.10049982","url":null,"abstract":"This paper presents fine-grained data augmentation, a data augmentation method for deep neural network training that can be applied to tasks with a small number of images, such as in the medical field or vision-inspection tasks. For small-datasets, the number of images per class is usually unbalanced and overfitting occurs when training small-datasets. In this paper, data augmentation skills using generative adversarial network for image super-resolution tasks is presented. Data augmentation with generative adversarial network for image super-resolution tasks retains the overall shape and form, but changes only the details of features. The proposed method achieves better performance when training CIFAR-100 and CUB-200-2011 datasets from scratch. The proposed method is being actively developed to further improve the performance of image classification and will be applicable to object detection.","PeriodicalId":373752,"journal":{"name":"2023 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116465321","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 : 2023-02-05DOI: 10.1109/ICEIC57457.2023.10049850
Sang Rak Kim, Chan Kim, Soo-Im Shin, Seongjae Kim
Semi-active suspension as an intermediate form of passive and active suspension is widely applied for the vibration isolation of passenger cars and has recently received attention in the discipline of machine learning. This paper presents how to utilize deep reinforcement learning (DRL) algorithms to generate variable damping characteristics of the semi-active suspension. A two-degree-of-freedom quarter car suspension model featuring nonlinear friction is used to design a Markovian decision process, with a linear quadratic cost function and a stochastic road profile. Furthermore, we verify the ride comfort performance of the DRL controllers and discuss observations made on its near-optimal control force.
{"title":"Deep Reinforcement Learning for Semi-Active Suspension: A Feasibility Study","authors":"Sang Rak Kim, Chan Kim, Soo-Im Shin, Seongjae Kim","doi":"10.1109/ICEIC57457.2023.10049850","DOIUrl":"https://doi.org/10.1109/ICEIC57457.2023.10049850","url":null,"abstract":"Semi-active suspension as an intermediate form of passive and active suspension is widely applied for the vibration isolation of passenger cars and has recently received attention in the discipline of machine learning. This paper presents how to utilize deep reinforcement learning (DRL) algorithms to generate variable damping characteristics of the semi-active suspension. A two-degree-of-freedom quarter car suspension model featuring nonlinear friction is used to design a Markovian decision process, with a linear quadratic cost function and a stochastic road profile. Furthermore, we verify the ride comfort performance of the DRL controllers and discuss observations made on its near-optimal control force.","PeriodicalId":373752,"journal":{"name":"2023 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116246417","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 : 2023-02-05DOI: 10.1109/ICEIC57457.2023.10049888
Byoungman An, Show-Ling Jang, Sanghun Yoon, Ki-Taeg Lim
This paper presents the current status of developing an environment for network-based continuous indoor and outdoor positioning verification system. With the recent advancements of V2X technology, real-time wireless communication networks are now available in automobiles, and network-based positioning systems are being actively developed as a result. This paper discusses the multi-sensor-based indoor and outdoor position verification environment, as well as the system development direction, in which the V2X network can be linked to verify various positioning system.
{"title":"Establishment of High Precision Positioning Verification Environment","authors":"Byoungman An, Show-Ling Jang, Sanghun Yoon, Ki-Taeg Lim","doi":"10.1109/ICEIC57457.2023.10049888","DOIUrl":"https://doi.org/10.1109/ICEIC57457.2023.10049888","url":null,"abstract":"This paper presents the current status of developing an environment for network-based continuous indoor and outdoor positioning verification system. With the recent advancements of V2X technology, real-time wireless communication networks are now available in automobiles, and network-based positioning systems are being actively developed as a result. This paper discusses the multi-sensor-based indoor and outdoor position verification environment, as well as the system development direction, in which the V2X network can be linked to verify various positioning system.","PeriodicalId":373752,"journal":{"name":"2023 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124831871","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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