2023 International Conference on Electronics, Information, and Communication (ICEIC)最新文献_第2页

Quantitative Analysis of Various 2D CNN Structures based on Dataflow 基于数据流的二维CNN结构定量分析

2023 International Conference on Electronics, Information, and Communication (ICEIC) Pub Date : 2023-02-05 DOI: 10.1109/ICEIC57457.2023.10049910

Sangwon Lee, Jiho Park, Jeongho Kim, Yongtaek Hwang, Soyeon Choi, Hoyoung Yoo

引用次数: 0

The Communication Link Analysis of ZigBee Mesh Networks Using Received Signal Strength Indicator (RSSI) for the Agricultural Slope Environment 基于RSSI的农业边坡环境ZigBee Mesh网络通信链路分析

2023 International Conference on Electronics, Information, and Communication (ICEIC) Pub Date : 2023-02-05 DOI: 10.1109/ICEIC57457.2023.10049953

Poonpong Uarchoojitt, Suphakon Pothongkham, Thawatchai Kongnarong, W. Boonsong, C. Samakee, Tanakorn Inthasuth

{"title":"The Communication Link Analysis of ZigBee Mesh Networks Using Received Signal Strength Indicator (RSSI) for the Agricultural Slope Environment","authors":"Poonpong Uarchoojitt, Suphakon Pothongkham, Thawatchai Kongnarong, W. Boonsong, C. Samakee, Tanakorn Inthasuth","doi":"10.1109/ICEIC57457.2023.10049953","DOIUrl":"https://doi.org/10.1109/ICEIC57457.2023.10049953","url":null,"abstract":"Some curves in mountainous areas or slopes can hinder communication in intelligent agriculture. This paper presents the link communication efficiency using the ZigBee protocol. The test scenarios were in an agricultural slope area that blocked communication from the ground to the top of the mountain. Therefore, to strengthen the communication network, we adjust the number of repeaters to expand the network to communicate effectively. The received signal strength indicator (RSSI) and packet success ratio were recorded using the loopback technique with XCTU software. The results showed that the transmitter to the receiver distance of slope-based 75 m, which utilizes signaling repeaters 1, 2, and 3, increased average RSSI values of -83.1, -81.7, and -79.9 dBm, respectively, and the success rate is 100%. In addition, if the system communicates with only the transmitter and receiver, the network is 100% signal loss affected by the curve area in the mountain. However, this experiment shows that ZigBee-based wireless performance data sets are discussed. Furthermore, the result can further implement ZigBee network installation for agricultural slope areas.","PeriodicalId":373752,"journal":{"name":"2023 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"116 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":"131990207","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}

引用次数: 1

Multispectral Palm-vein Fusion for User Identification 多光谱掌静脉融合用户识别

2023 International Conference on Electronics, Information, and Communication (ICEIC) Pub Date : 2023-02-05 DOI: 10.1109/ICEIC57457.2023.10049882

Jaekwon Lee, Jooyoung Kim, Donghyun Kim, Seung Ah Lee, J. Sung, K. Toh

引用次数: 0

GPU Acceleration of Chinese Remainder Theorem for Fully Homomorphic Encryption 全同态加密中文剩余定理的GPU加速

2023 International Conference on Electronics, Information, and Communication (ICEIC) Pub Date : 2023-02-05 DOI: 10.1109/ICEIC57457.2023.10049852

Yuri Oh, Seong-Cheon Park, Jungchan Na, Dong Kyue Kim

{"title":"GPU Acceleration of Chinese Remainder Theorem for Fully Homomorphic Encryption","authors":"Yuri Oh, Seong-Cheon Park, Jungchan Na, Dong Kyue Kim","doi":"10.1109/ICEIC57457.2023.10049852","DOIUrl":"https://doi.org/10.1109/ICEIC57457.2023.10049852","url":null,"abstract":"Fully Homomorphic encryption (FHE) is an encryption technique capable of performing data operations without decryption operations on encrypted data. With the development of the Internet and AI technology, concerns about personal information have increased. Therefore, the characteristic of being able to operate in the encrypted state of homomorphic Encryption is suitable for application to personal information security technologies. FHE enables data processing while maintaining security between third parties. However, because the calculation time of FHE is very slow, the high computational cost of homomorphic encryption must be addressed before it can be applied to commerce. We focused on multiplication, the slowest, and the main operation of the homomorphic encryption scheme, Cheon, Kim, Kim, and Song (CKKS). In this paper, we accelerate multiplication operations by assigning blocks and threads of GPUs to FHE polynomials. By implementing Chinese remainder theorem (CRT) operations, one of the detailed kernels of multiplication on the GPU, We achieved about 4x the speed improvement over the CPU.","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":"133741396","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}

引用次数: 0

A Design Approach for 5G-NR Radio Planning Using Both FR1 and FR2 on Any Selected Outdoor and Indoor Areas 在任何选定的室外和室内区域使用FR1和FR2进行5G-NR无线电规划的设计方法

2023 International Conference on Electronics, Information, and Communication (ICEIC) Pub Date : 2023-02-05 DOI: 10.1109/ICEIC57457.2023.10049901

Supachart Chinkhong, P. Kaewplung

引用次数: 1

Efficient Pavement Crack Detection in Drone Images using Deep Neural Networks 基于深度神经网络的无人机图像路面裂缝检测

2023 International Conference on Electronics, Information, and Communication (ICEIC) Pub Date : 2023-02-05 DOI: 10.1109/ICEIC57457.2023.10049911

Heegwang Kim, Jun Sung, Mingi Kim, Chanyeong Park, J. Paik

引用次数: 0

BLM-DTO: Bandit Learning and Matching based Distributed Task Offloading in Fog Networks BLM-DTO:基于强盗学习和匹配的雾网络分布式任务卸载

2023 International Conference on Electronics, Information, and Communication (ICEIC) Pub Date : 2023-02-05 DOI: 10.1109/ICEIC57457.2023.10049981

Hoa Tran-Dang, Dongsung Kim

引用次数: 1

Smart Commuting: Exploring Machine Learning Approaches to Understanding the Metro Rail Transit System 智能通勤:探索机器学习方法来理解地铁轨道交通系统

2023 International Conference on Electronics, Information, and Communication (ICEIC) Pub Date : 2023-02-05 DOI: 10.1109/ICEIC57457.2023.10049933

Jayrald Empino, Jean Allyson Junsay, Mary Grace Verzon, Mideth B. Abisado, Shekinah Lor B. Huyo-a, G. Sampedro

{"title":"Smart Commuting: Exploring Machine Learning Approaches to Understanding the Metro Rail Transit System","authors":"Jayrald Empino, Jean Allyson Junsay, Mary Grace Verzon, Mideth B. Abisado, Shekinah Lor B. Huyo-a, G. Sampedro","doi":"10.1109/ICEIC57457.2023.10049933","DOIUrl":"https://doi.org/10.1109/ICEIC57457.2023.10049933","url":null,"abstract":"The Metro Rail Transit Line 3 (MRT3) has been a mode of transportation for many commuters since its inception last 1999. Each day, more than thousands of passengers are recorded by the Department of Transportation (DOTr) to ride the MRT3 and predicting the number of passengers per day can be quite difficult. The ridership of the MRT3 varies daily due to factors such as holidays, working days, and even sudden technical issues. Commuters do not know how many other commuters will board on a certain day and this could lead to difficulty in planning a convenient journey to a destination. Currently, the DOTr relies on historical data plotted on spreadsheets and this can be quite difficult to analyze. In this research, a time series forecasting of daily ridership predicts the future ridership in a specific station on certain days is proposed. The proposed prediction method runs on Azure AutoML to train different models that can give accurate data and uses the ridership data from DOTr. The trained models used include Gradient Boosting, Extreme Random Trees, and Light GBM - these models have the best accuracy.","PeriodicalId":373752,"journal":{"name":"2023 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"31 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":"123911666","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}

引用次数: 0

ReRAM Switching Performance based on Single-Walled Carbon Nanotubes Wire Electrode 基于单壁碳纳米管导线电极的ReRAM开关性能

2023 International Conference on Electronics, Information, and Communication (ICEIC) Pub Date : 2023-02-05 DOI: 10.1109/ICEIC57457.2023.10049931

Dong-Yul Jang, Beomso Jo, Y. L. Kim, M. Kwon

{"title":"ReRAM Switching Performance based on Single-Walled Carbon Nanotubes Wire Electrode","authors":"Dong-Yul Jang, Beomso Jo, Y. L. Kim, M. Kwon","doi":"10.1109/ICEIC57457.2023.10049931","DOIUrl":"https://doi.org/10.1109/ICEIC57457.2023.10049931","url":null,"abstract":"From the past, the occurrence of bottlenecks in memory/computation functions has been a problem for Von Neumann architecture. As the demand for computing and data storage increases, it is necessary to develop high-performance memory to overcome the limitations of operating speed and low power consumption. Recently, neuromorphic systems have been in the spotlight with computing technology that imitates the human brain. Neuromorphic architecture can be an important factor in implementing spike neural network (SNN) – based system hardware with human synaptic learning. Among the candidates for neuromorphic memory systems, resistive random-access memory (ReRAM) is attracting attention for its simple structure and easy design with silicon-based CMOS technology. By spike timing dependent plasticity (STDP), known as the learning rule of synapses, the change in the weight of synapses is equal to the change in the resistance of the synaptic ReRAM device.Therefore, this study proposed a nano-wire electrode based non-volatile synaptic devices with metal-CNTs-oxide-Si (MCOS) structure by synthesizing single-walled carbon nanotubes (SWCNTs). SWCNTs have excellent electrical properties as they include higher conductivity than copper and have carrier mobility than Si. As the top electrode wire was applied as SWCNTs, the leakage current was reduced, and the high switching performance was shown through self-integration of each cell. Ultimately, it will be an important parameter of device implementation that improves the reliability of memory and the stability of conductance filament (CF).","PeriodicalId":373752,"journal":{"name":"2023 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"49 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":"124039854","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}

引用次数: 0

Improved Estimation Method for Effect of DBD (Dielectric Barrier Discharge) Plasma on RCS (Radar Cross Section) Reduction 介质阻挡放电等离子体对雷达截面减小影响的改进估计方法

2023 International Conference on Electronics, Information, and Communication (ICEIC) Pub Date : 2023-02-05 DOI: 10.1109/ICEIC57457.2023.10049958

Jinwoo Jeong, Chang-Kwon Cho, Yongshik Lee, Jungje Ha, J. Yim, Shinjae You, M. Choi

引用次数: 2