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/ICEIC57457.2023.10049888
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}
Pub Date : 2023-02-05DOI: 10.1109/ICEIC57457.2023.10049957
Heunseung Lim, Jaehee Lee, Hyuncheol Kim, Heungmin Oh, J. Paik
This paper proposes an image enhancement method using gamma neural networks and exponential transformation. When acquiring an image, degradation occurs in very many imaging systems, and the quality of the image acquired by surrounding environmental factors decreases due to the combination of deteriorating elements. Alternatively, work that facilitates post-treatment may be performed by artificially deteriorating for post-treatment directly. However, if the information on these additional tasks is not known, there is a problem that the post-processing process is expensive or additional degradation occurs. To solve this problem, this paper uses a neural network that estimates gamma maps through residual learning for images that require post-processing, and finally applies exponential transformations to perform contrast improvement. The contrast improvement method proposed through the experimental results provides an image with less color distortion compared to the existing method.
{"title":"Image Enhancement for High-Resolution Visual Contents","authors":"Heunseung Lim, Jaehee Lee, Hyuncheol Kim, Heungmin Oh, J. Paik","doi":"10.1109/ICEIC57457.2023.10049957","DOIUrl":"https://doi.org/10.1109/ICEIC57457.2023.10049957","url":null,"abstract":"This paper proposes an image enhancement method using gamma neural networks and exponential transformation. When acquiring an image, degradation occurs in very many imaging systems, and the quality of the image acquired by surrounding environmental factors decreases due to the combination of deteriorating elements. Alternatively, work that facilitates post-treatment may be performed by artificially deteriorating for post-treatment directly. However, if the information on these additional tasks is not known, there is a problem that the post-processing process is expensive or additional degradation occurs. To solve this problem, this paper uses a neural network that estimates gamma maps through residual learning for images that require post-processing, and finally applies exponential transformations to perform contrast improvement. The contrast improvement method proposed through the experimental results provides an image with less color distortion compared to the existing method.","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":"114517947","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/ICEIC57457.2023.10049920
Shin-Uk Kang, Jin-Woo Han, Min-Seong Choo
This paper presents a multilayer perceptron (MLP) that offers excellent accuracy for classifying MNIST handwritten images considering radiation-induced bit failures. By introducing a stochastic model for radiation effect on ideal error-free MLP, the performance degradation of the neural network on space application is inevitable. Radiation-hardened processing in memory (PIM) should be developed with minimum hardware additives to utilize edge devices more practically in space. In the previous studies on digital synaptic devices to overcome radiation-related side effects, as the number of transistors in the unit storage device increases, more tolerance to radiation is expected. However, when all weight devices are replaced with bulky ones, the overall volume of the processor increases. This work proposes a digital hybrid synaptic device that only uses a larger device on the most significant bit (MSB) when the radiation effect is considered. With minimum hardware overhead for synapses, improved performance in the classification of MNIST is obtained. From the Neurosim framework with a single hidden layer, the accuracy is dramatically improved while sacrificing 1-bit weight information.
{"title":"Radiation-Hardened Processing-In-Memory Crossbar Array With Hybrid Synapse Devices for Space Application","authors":"Shin-Uk Kang, Jin-Woo Han, Min-Seong Choo","doi":"10.1109/ICEIC57457.2023.10049920","DOIUrl":"https://doi.org/10.1109/ICEIC57457.2023.10049920","url":null,"abstract":"This paper presents a multilayer perceptron (MLP) that offers excellent accuracy for classifying MNIST handwritten images considering radiation-induced bit failures. By introducing a stochastic model for radiation effect on ideal error-free MLP, the performance degradation of the neural network on space application is inevitable. Radiation-hardened processing in memory (PIM) should be developed with minimum hardware additives to utilize edge devices more practically in space. In the previous studies on digital synaptic devices to overcome radiation-related side effects, as the number of transistors in the unit storage device increases, more tolerance to radiation is expected. However, when all weight devices are replaced with bulky ones, the overall volume of the processor increases. This work proposes a digital hybrid synaptic device that only uses a larger device on the most significant bit (MSB) when the radiation effect is considered. With minimum hardware overhead for synapses, improved performance in the classification of MNIST is obtained. From the Neurosim framework with a single hidden layer, the accuracy is dramatically improved while sacrificing 1-bit weight information.","PeriodicalId":373752,"journal":{"name":"2023 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"21 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":"124994332","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/ICEIC57457.2023.10049929
Hongki Lee, H. Yoo, Gwang Myeong Seo, Kyungnam Kang, Seung Ah Lee, K. Toh, J. Sung, Donghyun Kim
We present structured illumination microscopy based on random nanospeckle distributions of light fields localized by plasmonic nanoislands. Images were acquired of exosomes on biochips for super-resolved reconstruction. The results confirm improved image resolution below the diffraction limit.
{"title":"Nanospeckle Illumination Microscopy of Extracellular Vesicles on Chip","authors":"Hongki Lee, H. Yoo, Gwang Myeong Seo, Kyungnam Kang, Seung Ah Lee, K. Toh, J. Sung, Donghyun Kim","doi":"10.1109/ICEIC57457.2023.10049929","DOIUrl":"https://doi.org/10.1109/ICEIC57457.2023.10049929","url":null,"abstract":"We present structured illumination microscopy based on random nanospeckle distributions of light fields localized by plasmonic nanoislands. Images were acquired of exosomes on biochips for super-resolved reconstruction. The results confirm improved image resolution below the diffraction limit.","PeriodicalId":373752,"journal":{"name":"2023 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"51 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":"125649228","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/ICEIC57457.2023.10049983
Jung-Jin Park, Young-Min Kang, Geon-Hak Kim, I. Chang, Jinsang Kim
Recently, radiation-aware latch designs have been increasingly important due to the aggressive VLSI scaling. From radiation, latched data can be flipped due to single event upset (SEU) at a single node or multiple nodes in a circuit. Therefore, we need to develop SEU-resilient latches. DICE-based latches has remarkable features during SEU recovery. To our knowledge, there is no systematic analysis of transistor sizes for the DICE-based latch designs. In this paper, we propose transistor sizing scheme for radiation-resilient latches to single node upset and multiple node upsets.
{"title":"Transistor Sizing Scheme for DICE-Based Radiation-Resilient Latches","authors":"Jung-Jin Park, Young-Min Kang, Geon-Hak Kim, I. Chang, Jinsang Kim","doi":"10.1109/ICEIC57457.2023.10049983","DOIUrl":"https://doi.org/10.1109/ICEIC57457.2023.10049983","url":null,"abstract":"Recently, radiation-aware latch designs have been increasingly important due to the aggressive VLSI scaling. From radiation, latched data can be flipped due to single event upset (SEU) at a single node or multiple nodes in a circuit. Therefore, we need to develop SEU-resilient latches. DICE-based latches has remarkable features during SEU recovery. To our knowledge, there is no systematic analysis of transistor sizes for the DICE-based latch designs. In this paper, we propose transistor sizing scheme for radiation-resilient latches to single node upset and multiple node upsets.","PeriodicalId":373752,"journal":{"name":"2023 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"39 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":"126801124","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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