2022 IEEE International Conference on Consumer Electronics (ICCE)最新文献_第4页

A new DVFS algorithm to minimize energy consumption on system-on-chip architecture and electrical characteristics 一种新的DVFS算法，可最大限度地减少片上系统架构和电气特性的能耗

2022 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2022-01-07 DOI: 10.1109/ICCE53296.2022.9730423

Choonghoon Park, Jong-Kab Park, Youngtaek Lee, B. Park, Jungwook Kim, Donghee Han, Chulmin Jo, Woonhaing Hur

{"title":"A new DVFS algorithm to minimize energy consumption on system-on-chip architecture and electrical characteristics","authors":"Choonghoon Park, Jong-Kab Park, Youngtaek Lee, B. Park, Jungwook Kim, Donghee Han, Chulmin Jo, Woonhaing Hur","doi":"10.1109/ICCE53296.2022.9730423","DOIUrl":"https://doi.org/10.1109/ICCE53296.2022.9730423","url":null,"abstract":"Over the decades, lots of power management methods have been devised to increase battery life time in mobile devices. Among them, DVFS (Dynamic Voltage and Frequency Scaling) algorithms have been introduced to minimize energy consumption while meeting the required performance at the same time. Generally, most DVFS algorithms aim to minimize energy consumption without hurting QoS (Quality of Service) by selecting the lowest frequency which satisfies the performance required by workloads. However, it becomes more difficult to achieve energy efficiency with the existing DVFS algorithms on highly complex systems, such as de-coupling between operating frequency and voltage, and increasing static power due to the fine process trend. Therefore, the need for an entirely new DVFS algorithm has come to the fore. The new algorithm is designed to be well-deployed onto such complex systems, and follow the fundamental goal - minimizing energy, not simply reducing the power. In this paper, we are going to introduce an algorithm to satisfy the requirements.","PeriodicalId":350644,"journal":{"name":"2022 IEEE International Conference on Consumer Electronics (ICCE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124402693","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

Deep Learning-Based HDR Image Upscaling Approach for 8K UHD Applications 基于深度学习的8K UHD应用HDR图像升级方法

2022 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2022-01-07 DOI: 10.1109/ICCE53296.2022.9730460

Yixiao Wang, H. R. Tohidypour, M. Pourazad, P. Nasiopoulos, Victor C. M. Leung

引用次数: 0

IoT Device Identification Using Supervised Machine Learning 物联网设备识别使用监督机器学习

2022 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2022-01-07 DOI: 10.1109/ICCE53296.2022.9730354

Yong Wang, B. Rimal, M. Elder, Sofía I. Crespo Maldonado, Helen Chen, Carson Koball, K. Ragothaman

引用次数: 5

Speaker Authentication Method using Reservoir Computing for Security System 基于库计算的安全系统说话人认证方法

2022 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2022-01-07 DOI: 10.1109/ICCE53296.2022.9730224

Yuki Sakaguchi, Rin Hirakawa, H. Kawano, Y. Nakatoh

引用次数: 0

AI Camera: Real-time License Plate Number Recognition on Device AI摄像头:在设备上实时识别车牌号码

2022 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2022-01-07 DOI: 10.1109/ICCE53296.2022.9730306

Taewan Kim, Chunghun Kang, Yongsung Kim, Seungji Yang

{"title":"AI Camera: Real-time License Plate Number Recognition on Device","authors":"Taewan Kim, Chunghun Kang, Yongsung Kim, Seungji Yang","doi":"10.1109/ICCE53296.2022.9730306","DOIUrl":"https://doi.org/10.1109/ICCE53296.2022.9730306","url":null,"abstract":"Intelligent surveillance cameras with artificial intelligence (AI)-based video analytic function have become pervasive in recent years. They hold the promise of bringing high fidelity, contextually rich sensing into our home town and workplaces as a means of making our life smarter and safer. Despite remarkable and indisputable advances, AI cameras are still limited in the proper convolutional neural networks (CNNs) model, and more importantly, do not easily design a robust system architecture between edge device and (cloud) server for real-world applications. Towards addressing these limitations, we have developed an commercialized AI camera can be installed at any position that we use to recognize the license plate incorporating front-end and back-end intelligence. For intelligent front-end system, we designed three unique CNNs models on AI cmear for detecting license plate with its corner points and recognizing the characters and numbers sequentially. To increase the accuracy of AI functions on camera continuously, it is connect to back-end intelligence server where the current models on AI camera is updating with new incoming data in a continual process of adaptation. We conducted a series of experiments, showing high accuracy and versatility of the new architecture, while yielding robust results that can be practically implemented.","PeriodicalId":350644,"journal":{"name":"2022 IEEE International Conference on Consumer Electronics (ICCE)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127283531","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

Demo-Net: A Low Complexity Convolutional Neural Network for Demosaicking Images demo.net:一种用于图像去马赛克的低复杂度卷积神经网络

2022 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2022-01-07 DOI: 10.1109/ICCE53296.2022.9730270

Mert Bektas, Zhao Gao, E. Edirisinghe, A. Lluis-Gomez

引用次数: 0

Efficient Coefficient Bit-Width Reduction Method for Ising Machines Ising机的有效系数位宽缩减方法

2022 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2022-01-07 DOI: 10.1109/ICCE53296.2022.9730601

Yuta Yachi, Yousuke Mukasa, Masashi Tawada, N. Togawa

{"title":"Efficient Coefficient Bit-Width Reduction Method for Ising Machines","authors":"Yuta Yachi, Yousuke Mukasa, Masashi Tawada, N. Togawa","doi":"10.1109/ICCE53296.2022.9730601","DOIUrl":"https://doi.org/10.1109/ICCE53296.2022.9730601","url":null,"abstract":"Ising machines such as quantum annealing machines and semiconductor-based annealing machines can solve various combinatorial optimization problems very efficiently by transforming it into a data structure called an Ising model. At that time, the bit-widths of the coefficients of the Ising model have to be kept within the range that an Ising machine can deal with. However, by reducing the Ising-model bit-widths, its minimum energy state, or ground state, may become different from that of the original one and hence the targeted combinatorial optimization problem cannot be well solved. This paper proposes an effective method for reducing Ising-model bit-widths. The proposed method is composed of the two processes: First, given an Ising model with large coefficient bit-widths, the shift method is applied to reduce its bit-widths roughly. Second, the spin-adding method is applied to further reduce its bit-widths to those that Ising machines can deal with. Without adding too many extra spins, we efficiently reduce the coefficient bit-widths of the original Ising model. Furthermore, the ground state before and after reducing the coefficient bit-widths is not much changed in most of the practical cases. Experimental evaluations demonstrate the effectiveness of the proposed method, compared to existing methods.","PeriodicalId":350644,"journal":{"name":"2022 IEEE International Conference on Consumer Electronics (ICCE)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127344349","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

Robot-on-Chip: Computing on a Single Chip for an Autonomous Robot 芯片上的机器人:自主机器人的单芯片计算

2022 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2022-01-07 DOI: 10.1109/ICCE53296.2022.9730399

Y. Jeong, Kwang Hyun Go, Seung Eun Lee

引用次数: 0

Detection Method for Fire Incident due to Arc-Fault in Home Appliances 家用电器电弧故障引发火灾的检测方法

2022 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2022-01-07 DOI: 10.1109/ICCE53296.2022.9730397

Sittichai Wangwiwattana, Koike Yoshikazu

{"title":"Detection Method for Fire Incident due to Arc-Fault in Home Appliances","authors":"Sittichai Wangwiwattana, Koike Yoshikazu","doi":"10.1109/ICCE53296.2022.9730397","DOIUrl":"https://doi.org/10.1109/ICCE53296.2022.9730397","url":null,"abstract":"The arc fault is well-known causes of electric fire incidents as well as electric treeing. In low voltage rating such as common home appliances, an arc-fault state can be achieved due to poor contact condition even if the contact is used within manufactured current rating. Therefore, a detection on such phenomenon is required to elevate electrical fire safety. We have researched the process of the arc fault in low voltage. Generally, the discharge on the tip of plug leads distortion of electrical waveform. One of the detection method for arc fault is to analyze the wave form in a plug. According to our research, the higher resistance of the contact area on the tip of plug due to oxide copper lead to high temperature area due to Joule's heating. In this presentation, we report how to detect series arc-fault in common household appliances. The derived method is to measure the energy consumption of the electrical appliance that has been affected with arc-fault. The power that was lost from arc-fault can be reliably measured at the load in the experiment. Therefore, a common commercial power-saving socket could be utilized for power measurement. Further development into the prototype phase is required to realize the new prevention method.","PeriodicalId":350644,"journal":{"name":"2022 IEEE International Conference on Consumer Electronics (ICCE)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133012912","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

Efficient Light-Weight Deep Neural Network for Person Detection in Drone Images 无人机图像中人检测的高效轻量级深度神经网络

2022 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2022-01-07 DOI: 10.1109/ICCE53296.2022.9730191

Mingi Kim, Heegwang Kim, Yeongheon Mok, J. Paik

引用次数: 1