ETRI Journal最新文献_第4页

Low-resolution activity recognition using super-resolution and model ensemble networks 利用超分辨率和模型集合网络进行低分辨率活动识别

IF 1.3 4区计算机科学

ETRI Journal Pub Date : 2024-07-24 DOI: 10.4218/etrij.2023-0523

Tinglong Liu, Haiyan Wang

引用次数: 0

LSTM model to predict missing data of dissolved oxygen in land-based aquaculture farm 预测陆基水产养殖场溶解氧缺失数据的 LSTM 模型

IF 1.3 4区计算机科学

ETRI Journal Pub Date : 2024-07-19 DOI: 10.4218/etrij.2023-0337

Sang-Yeon Lee, Deuk-Young Jeong, Jinseo Choi, Seng-Kyoun Jo, Dae-Heon Park, Jun-Gyu Kim

引用次数: 0

3D-structure coupled monopole designs with lower frequency resonance 具有低频共振的三维结构耦合单极设计

IF 1.3 4区计算机科学

ETRI Journal Pub Date : 2024-07-02 DOI: 10.4218/etrij.2023-0415

Enamul Khan, Md. Ataur Safi Rahaman Laskar, Khan Masood Parvez, SK. Moinul Haque

{"title":"3D-structure coupled monopole designs with lower frequency resonance","authors":"Enamul Khan, Md. Ataur Safi Rahaman Laskar, Khan Masood Parvez, SK. Moinul Haque","doi":"10.4218/etrij.2023-0415","DOIUrl":"10.4218/etrij.2023-0415","url":null,"abstract":"In this study, we investigated three-dimensional configurations involving a monopole-coupled wired ring, a hollow metallic cylinder, and wired helix spring to achieve resonance lower than quarter-wave resonance. The resonance frequency of a quarter-wave monopole, originally 2.05 GHz, was significantly lowered by 54.53% through effective coupling with a wired ring, and a quarter-wave monopole properly coupled with a hollow metallic cylinder experienced a large decrease of 64.34%. The primary incentive for connecting a wired ring to a hollow metallic cylinder is to significantly reduce resonance frequency. Efforts were also made to lower resonance frequency in a wired helix spring with a length close to that of the wired ring, resulting in a substantial 78.83% reduction in resonance frequency. The −10 dB bandwidth was 14.63% for the quarter-wave monopole, 27.21% for the monopole-coupled wired ring, 33.71% for the monopole-coupled hollow metallic cylinder, and 4.69% for the monopole-coupled helix spring. The ka values for the monopole-coupled wired ring, hollow metallic cylinder, and helix spring were 0.35, 0.27, and 0.16, respectively. Hence, these antennas can be classified as electrically small antennas. The achieved resonant frequencies have applications in various wireless communication scenarios. The experimental results from the fabricated prototype agree well with the simulation results.","PeriodicalId":11901,"journal":{"name":"ETRI Journal","volume":"47 1","pages":"47-58"},"PeriodicalIF":1.3,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.4218/etrij.2023-0415","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141687149","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Improving the interoperability of a Function-as-a-Service platform using an orchestration framework with a cloud-agnostic approach 使用云无关的协调框架提高功能即服务平台的互操作性

IF 1.3 4区计算机科学

ETRI Journal Pub Date : 2024-06-12 DOI: 10.4218/etrij.2023-0443

Zameer Ahmed Adhoni, Dayananda Lal Narayan

{"title":"Improving the interoperability of a Function-as-a-Service platform using an orchestration framework with a cloud-agnostic approach","authors":"Zameer Ahmed Adhoni, Dayananda Lal Narayan","doi":"10.4218/etrij.2023-0443","DOIUrl":"10.4218/etrij.2023-0443","url":null,"abstract":"Function-as-a-Service (FaaS) applications suffer from cold-start latency owing to their high execution time and memory usage. We propose a FaaS orchestration framework based on a cloud-agnostic approach for application and data interoperability. The framework's performance is evaluated on the web application of a student attendance system for online learning. The test system comprises 300 records from 50 students across five courses. Through optional file elimination, entry recognition, optional function generation, and function-level rewriting, the proposed orchestration framework suitably manages the storage of the student attendance records. The framework notably contributes to the student attendance web application by ensuring scalable, reliable, and efficient operations. Various evaluation measures confirm the effectiveness of the orchestration framework. These measures include cold/warm-start execution time, cold/warm-start memory usage, and zip execution time. An empirical analysis reveals that our framework reduces the execution time by 2 s –15 s and memory usage by 1MB–3 MB for the evaluated application.","PeriodicalId":11901,"journal":{"name":"ETRI Journal","volume":"47 2","pages":"312-325"},"PeriodicalIF":1.3,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.4218/etrij.2023-0443","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141351898","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Automated deep-learning model optimization framework for microcontrollers 微控制器深度学习模型自动优化框架

IF 1.3 4区计算机科学

ETRI Journal Pub Date : 2024-06-09 DOI: 10.4218/etrij.2023-0522

Seungtae Hong, Gunju Park, Jeong-Si Kim

{"title":"Automated deep-learning model optimization framework for microcontrollers","authors":"Seungtae Hong, Gunju Park, Jeong-Si Kim","doi":"10.4218/etrij.2023-0522","DOIUrl":"10.4218/etrij.2023-0522","url":null,"abstract":"This paper introduces a framework for optimizing deep-learning models on microcontrollers (MCUs) that is crucial in today's expanding embedded device market. We focus on model optimization techniques, particularly pruning and quantization, to enhance the performance of neural networks within the limited resources of MCUs. Our approach combines automatic iterative optimization and code generation, simplifying MCU model deployment without requiring extensive hardware knowledge. Based on experiments with architectures, such as ResNet-8 and MobileNet v2, our framework substantially reduces the model size and enhances inference speed that are crucial for MCU efficiency. Compared with TensorFlow Lite for MCUs, our optimizations for MobileNet v2 reduce static random-access memory use by 51%–57% and flash use by 17%–62%, while increasing inference speed by approximately 1.55 times. These advancements highlight the impact of our method on performance and memory efficiency, demonstrating its value in embedded artificial intelligence and broad applicability in MCU-based neural network optimization.","PeriodicalId":11901,"journal":{"name":"ETRI Journal","volume":"47 2","pages":"179-192"},"PeriodicalIF":1.3,"publicationDate":"2024-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.4218/etrij.2023-0522","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141367640","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Efficient reduction of peak-to-average power ratio in multiple-input multiple-output orthogonal frequency-division multiplexing system by shuffling cluster sequences 通过洗牌簇序列有效降低多输入多输出正交频分复用系统中的峰均功率比

IF 1.3 4区计算机科学

ETRI Journal Pub Date : 2024-06-07 DOI: 10.4218/etrij.2023-0362

Si Sar Mi, Tanairat Mata, Pornpawit Boonsrimuang, Pisit Boonsrimuang

{"title":"Efficient reduction of peak-to-average power ratio in multiple-input multiple-output orthogonal frequency-division multiplexing system by shuffling cluster sequences","authors":"Si Sar Mi, Tanairat Mata, Pornpawit Boonsrimuang, Pisit Boonsrimuang","doi":"10.4218/etrij.2023-0362","DOIUrl":"10.4218/etrij.2023-0362","url":null,"abstract":"We propose a shuffling cluster sequence technique without separate side information (SI) for multiple-input multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM) systems. In the proposed technique, the active subcarriers over two consecutive OFDM symbols are divided into \u0000<math>\u0000 <mn>2</mn>\u0000 <mi>V</mi></math> clusters, and each cluster (packet frame) includes a header for ID#cluster and payload for \u0000<math>\u0000 <mi>D</mi>\u0000 <mi>a</mi>\u0000 <mi>t</mi>\u0000 <mi>a</mi>\u0000 <mi>#</mi>\u0000 <mi>c</mi>\u0000 <mi>l</mi>\u0000 <mi>u</mi>\u0000 <mi>s</mi>\u0000 <mi>t</mi>\u0000 <mi>e</mi>\u0000 <mi>r</mi></math>. The \u0000<math>\u0000 <mn>2</mn>\u0000 <mi>V</mi></math> clusters are shuffled to reduce the peak-to-average power ratio (PAPR) of the time-domain OFDM signal, which includes the information data and SI signals, with a low computational complexity. At the receiver, the information data can be correctly reconstructed by ID#cluster in the header of each cluster, achieving a smaller bit error rate than the conventional MIMO-OFDM system without PAPR reduction. Moreover, our technique is comparable with the conventional partial transmit sequence technique without the impact of a separate SI signal even when increasing the number of transmitter antennas in a nonlinear multipath fading channel.","PeriodicalId":11901,"journal":{"name":"ETRI Journal","volume":"46 6","pages":"998-1006"},"PeriodicalIF":1.3,"publicationDate":"2024-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.4218/etrij.2023-0362","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141373517","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Series-arc-fault diagnosis using feature fusion-based deep learning model 利用基于特征融合的深度学习模型进行串联电弧故障诊断

IF 1.3 4区计算机科学

ETRI Journal Pub Date : 2024-06-06 DOI: 10.4218/etrij.2023-0457

Won-Kyu Choi, Se-Han Kim, Ji-Hoon Bae

{"title":"Series-arc-fault diagnosis using feature fusion-based deep learning model","authors":"Won-Kyu Choi, Se-Han Kim, Ji-Hoon Bae","doi":"10.4218/etrij.2023-0457","DOIUrl":"10.4218/etrij.2023-0457","url":null,"abstract":"This paper describes the detection of series arc faults, which constitute the major cause of electrical fires, in a power distribution system. Because the characteristics of series arc faults change considerably depending on the load type, their accurate detection and analysis are difficult. We propose a series-arc-fault detector that uses a transfer learning (TL)-based feature fusion model. The model is trained stagewise for various features in the time and frequency domains using a one-dimensional convolutional neural network combined with a long short-term memory model that uses an attention mechanism to accurately detect arc-fault features. To enhance the reliability of the proposed model, we implement an arc-fault generator compliant with the UL1699 standard and acquire high-quality data that suitably reflect the real environment. Experimental results show that the proposed model achieves an accuracy of 99.99% in classifying series arc faults for five different loads. Hence, a performance improvement of approximately 1.7% in classification accuracy is reached compared with a feature fusion model that does not incorporate TL-based model transfer and the attention mechanism.","PeriodicalId":11901,"journal":{"name":"ETRI Journal","volume":"46 6","pages":"1061-1074"},"PeriodicalIF":1.3,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.4218/etrij.2023-0457","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141378654","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Large-area stretchable oxide thin-film transistor arrays with sandwiched molybdenum in serpentine structure 蛇形结构夹钼大面积可拉伸氧化物薄膜晶体管阵列

IF 1.3 4区计算机科学

ETRI Journal Pub Date : 2024-06-01 DOI: 10.4218/etrij.2023-0371

Jeho Na, Himchan Oh, Sujung Kim, Bock Soon Na, Ji Hun Choi, Ji-Young Oh, Chunwon Byun, Chan Woo Park

{"title":"Large-area stretchable oxide thin-film transistor arrays with sandwiched molybdenum in serpentine structure","authors":"Jeho Na, Himchan Oh, Sujung Kim, Bock Soon Na, Ji Hun Choi, Ji-Young Oh, Chunwon Byun, Chan Woo Park","doi":"10.4218/etrij.2023-0371","DOIUrl":"10.4218/etrij.2023-0371","url":null,"abstract":"Stretchable electronics are gaining attention with the development of skin-compatible health monitoring sensors and robotics applications. However, existing stretchable electronics show a tradeoff between reliability and stretchability when constructing transistor arrays. We aim to construct highly stretchable thin-film transistor (TFT) arrays with high reliability for large sensor backplanes. The fabricated structure comprises oxide TFTs and serpentine-shaped molybdenum interconnects that are sandwiched between top and bottom polyimide layers, achieving robustness under repeated tensile strain. Different materials for polyimide etch masks (i.e., aluminum, silicon nitride, and indium tin oxide) are tested. Within an 83.7 mm × 61 mm area, TFT arrays with a resolution of 25 pixels per inch can be stretched up to 30% without considerable performance degradation. As our TFTs are fabricated using common materials from display manufacturing, our development and findings may substantially benefit stretchable electronic industries where high reliability is required for large-area panels.","PeriodicalId":11901,"journal":{"name":"ETRI Journal","volume":"47 1","pages":"134-143"},"PeriodicalIF":1.3,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.4218/etrij.2023-0371","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141275011","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Moment analysis on channel eigenvalue for DAS-to-DAS system das - das系统信道特征值的矩分析

IF 1.3 4区计算机科学

ETRI Journal Pub Date : 2024-05-28 DOI: 10.4218/etrij.2023-0367

Donghyuk Gwak, Youngil Jeon, Jemin Lee, Jee-Hyeon Na

引用次数: 0

An end-to-end joint learning scheme of image compression and quality enhancement with improved entropy minimization 基于改进熵最小化的图像压缩和质量增强的端到端联合学习方案

IF 1.3 4区计算机科学

ETRI Journal Pub Date : 2024-05-27 DOI: 10.4218/etrij.2023-0275

Jooyoung Lee, Seunghyun Cho, Munchurl Kim

{"title":"An end-to-end joint learning scheme of image compression and quality enhancement with improved entropy minimization","authors":"Jooyoung Lee, Seunghyun Cho, Munchurl Kim","doi":"10.4218/etrij.2023-0275","DOIUrl":"https://doi.org/10.4218/etrij.2023-0275","url":null,"abstract":"Recently, learned image compression methods based on entropy minimization have achieved superior results compared with conventional image codecs such as BPG and JPEG2000. However, they leverage single Gaussian models, which have a limited ability to approximate various irregular distributions of transformed latent representations, resulting in suboptimal coding efficiency. Furthermore, existing methods focus on constructing effective entropy models, rather than utilizing modern architectural techniques. In this paper, we propose a novel joint learning scheme called JointIQ-Net that incorporates image compression and quality enhancement technologies with improved entropy minimization based on a newly adopted Gaussian mixture model. We also exploit global context to estimate the distributions of latent representations precisely. The results of extensive experiments demonstrate that JointIQ-Net achieves remarkable performance improvements in terms of coding efficiency compared with existing learned image compression methods and conventional codecs. To the best of our knowledge, ours is the first learned image compression method that outperforms VVC intra-coding in terms of both PSNR and MS-SSIM.","PeriodicalId":11901,"journal":{"name":"ETRI Journal","volume":"46 6","pages":"935-949"},"PeriodicalIF":1.3,"publicationDate":"2024-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.4218/etrij.2023-0275","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142862260","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0