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2022 IEEE International Conference on Consumer Electronics (ICCE)最新文献

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Black Level Compensation for TVs Using HDR Dynamic Metadata 使用HDR动态元数据的电视黑电平补偿
2022 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2022-01-07 DOI: 10.1109/ICCE53296.2022.9730254
Chenguang Liu, Dung Vo, McClain Nelson, Bill Mandel, Suzie Hyun
{"title":"Black Level Compensation for TVs Using HDR Dynamic Metadata","authors":"Chenguang Liu, Dung Vo, McClain Nelson, Bill Mandel, Suzie Hyun","doi":"10.1109/ICCE53296.2022.9730254","DOIUrl":"https://doi.org/10.1109/ICCE53296.2022.9730254","url":null,"abstract":"This paper proposes a high dynamic range (HDR) tone mastering system which dynamically corrects the picture quality based on dynamic metadata in various black level conditions to preserve the content providers' creative intent. It permits compensating for the TV panel black level difference and preserving black and shadow details created by studios even though black levels vary across TV panels. The paper also describes a novel HDR image creative intent tuning system to match the content shown on target TV and reference TV. The results show that the proposed method can effectively compensate the black detail for different black levels.","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":"125374403","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
HyperUNet for Medical Hyperspectral Image Segmentation on a Choledochal Database 基于胆总管数据库的医学高光谱图像分割HyperUNet
2022 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2022-01-07 DOI: 10.1109/ICCE53296.2022.9730171
Gan Zhan, Y. Iwamoto, Yenwei Chen
{"title":"HyperUNet for Medical Hyperspectral Image Segmentation on a Choledochal Database","authors":"Gan Zhan, Y. Iwamoto, Yenwei Chen","doi":"10.1109/ICCE53296.2022.9730171","DOIUrl":"https://doi.org/10.1109/ICCE53296.2022.9730171","url":null,"abstract":"Microscopy medical hyperspectral images, which are characterized in multiple observation bands under different spectral frequencies, contain profuse spectral information for disease diagnosis. Consequently, an increasing number of deep learning methods have recently been proposed to solve the medical hyperspectral image segmentation task. In this study, we propose a new segmentation network (HyperUNet) as a better version of UNet for medical hyperspectral image segmentation on a choledochal database. Considering the useless spectral in-formation that exists in the hyperspectral image that is irrelevant to our task, HyperUNet first uses the linear transformation block to extract the useful spectral information from the hyperspectral image, and then applies the UNet model to it to capture the tumor area. Finally, when reconstructing the mask, HyperUNet applies the multi -scale loss function in cases of underuse and overuse of low-level detailed features and high-level semantic features. We compare our HyperUNet to other competing methods, and the results show that our HyperUNet is superior.","PeriodicalId":350644,"journal":{"name":"2022 IEEE International Conference on Consumer Electronics (ICCE)","volume":"4 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":"121608185","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
An IoT System for Detection and Identification of Radioactive Material in Scrap Metal Recycling 废金属回收中放射性物质检测与识别的物联网系统
2022 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2022-01-07 DOI: 10.1109/ICCE53296.2022.9730208
Vinh Tran-Quang, Dao Viet Hung, T. Dat, D. Doan
{"title":"An IoT System for Detection and Identification of Radioactive Material in Scrap Metal Recycling","authors":"Vinh Tran-Quang, Dao Viet Hung, T. Dat, D. Doan","doi":"10.1109/ICCE53296.2022.9730208","DOIUrl":"https://doi.org/10.1109/ICCE53296.2022.9730208","url":null,"abstract":"In this paper, we propose and develop an Internet of Radiation Sensor System (IoRSS) to enhance the use of nuclear detection systems to detect nuclear and other radioactive materials out of regulatory control in scrap metal recycling and production facilities. This is a complete IoT system of stationary and portable radiation detection devices connected to a radiation detection network using LoRa communication. With a robust and flexible network architecture along with advanced data fusion algorithms that combine information from many detectors, the IoRSS provides an advanced search, detection, and identification in the presence of radioactive material across a large coverage area and in difficult operational environments. The IoRSS demonstration has facilitated improved situational awareness and better capabilities to detect, identify, locate, and respond to incidents by integrating data from multiple portable and stationary radiation detectors across distributed sensors.","PeriodicalId":350644,"journal":{"name":"2022 IEEE International Conference on Consumer Electronics (ICCE)","volume":"88 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":"126823804","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
Thermal Environment Simulator for BEMS on Double Helix Structure 双螺旋结构BEMS热环境模拟器
2022 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2022-01-07 DOI: 10.1109/ICCE53296.2022.9730433
Toshihiro Mega, Kodai Murakami, N. Kushiro
{"title":"Thermal Environment Simulator for BEMS on Double Helix Structure","authors":"Toshihiro Mega, Kodai Murakami, N. Kushiro","doi":"10.1109/ICCE53296.2022.9730433","DOIUrl":"https://doi.org/10.1109/ICCE53296.2022.9730433","url":null,"abstract":"For realizing Building Energy Management System (BEMS) on double helix structure, a thermal environment simulator with multi agent technology was proposed in the paper. All the heat sources, which affect thermal environment in a building space, are modeled as independent agents in the multiagent simulator, and all governing equations for thermal environment in a spaces was attributed to simple heat transfer equations. Therefore, the simulator works without detailed Building Information Model (BIM) and becomes lightweight and faster enough to be embedded as a software agent in the BEMS on double helix structure. The simulator was implemented and validated its accuracy of the simulation through the field test in winter and summer. Through the field test, we confirmed that the simulator achieved high accuracy of the simulation and the simulator provided us direct observation of spatial and temporal dynamics with fine granularity for a building space.","PeriodicalId":350644,"journal":{"name":"2022 IEEE International Conference on Consumer Electronics (ICCE)","volume":"5 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":"126846961","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: 2
Information Extraction and Analysis on Certificates and Medical Receipts 证书和医疗收据的信息提取和分析
2022 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2022-01-07 DOI: 10.1109/ICCE53296.2022.9730569
T. Hong, Wei-Chou Chen, Chih-Hung Wu, Bo Xiao, Bing-Yang Chiang, Zhi-Xun Shen
{"title":"Information Extraction and Analysis on Certificates and Medical Receipts","authors":"T. Hong, Wei-Chou Chen, Chih-Hung Wu, Bo Xiao, Bing-Yang Chiang, Zhi-Xun Shen","doi":"10.1109/ICCE53296.2022.9730569","DOIUrl":"https://doi.org/10.1109/ICCE53296.2022.9730569","url":null,"abstract":"Document digitalization has become a trend in recent years. It provides fast analysis and search because the information in the documents can be easily managed. However, in real applications, while digitalization is in progress, lots of information has not yet been digitalized and only stored on papers. A common demand of analyzing a large amount of documents would be a time-consuming mission because they need massive human labor. Nowadays, some computer vision algorithms have emerged and they can be applied in such a scenario. In this paper, we propose an automatic information extraction and analysis system for mandarin documents. It consists of three main steps. Firstly, the text regions in documents under natural scenes are detected. Secondly, these text regions are recognized and converted into digital forms. Finally, heuristic rules are designed and integrated into the system to improve the recognition accuracy. The proposed system is expected to eliminate the time-consuming problem of document information extraction.","PeriodicalId":350644,"journal":{"name":"2022 IEEE International Conference on Consumer Electronics (ICCE)","volume":"41 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":"121701248","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 Methodology for Emulating, Developing, and Testing the Middleware DTV Play in Personal Computers 一种在个人计算机中模拟、开发和测试中间件数字电视播放的方法
2022 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2022-01-07 DOI: 10.1109/ICCE53296.2022.9730491
B. Farias, Ivo Machado, E. Filho, Claudio Pinheiro, Petrina Kimura, Leonardo Cordeiro, Daniel Xavier
{"title":"A Methodology for Emulating, Developing, and Testing the Middleware DTV Play in Personal Computers","authors":"B. Farias, Ivo Machado, E. Filho, Claudio Pinheiro, Petrina Kimura, Leonardo Cordeiro, Daniel Xavier","doi":"10.1109/ICCE53296.2022.9730491","DOIUrl":"https://doi.org/10.1109/ICCE53296.2022.9730491","url":null,"abstract":"Traditional environments for developing middleware stacks for DTV Play are often based on personal computers, using their available modules and resources. However, as those do not usually represent correctly the digital TV environment found in commercial platforms, the resulting elements may present restrictions, wrong behavior, and bugs related to incorrectly handled scenarios. The present work addresses this problem and proposes an emulation methodology that includes representations of elements specific to DTV platforms, such as tuners and demultiplexers. An evaluation performed with a real implementation of this scheme showed that it provides software already prepared for final DTV products and shorter development and testing periods periods.","PeriodicalId":350644,"journal":{"name":"2022 IEEE International Conference on Consumer Electronics (ICCE)","volume":"66 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":"125146379","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
User Selection of Mobility Control for Throughput Improvement in Ad Hoc Networks 基于移动性控制的Ad Hoc网络吞吐量改进用户选择
2022 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2022-01-07 DOI: 10.1109/ICCE53296.2022.9730310
Takumi Anjiki, T. Murase
{"title":"User Selection of Mobility Control for Throughput Improvement in Ad Hoc Networks","authors":"Takumi Anjiki, T. Murase","doi":"10.1109/ICCE53296.2022.9730310","DOIUrl":"https://doi.org/10.1109/ICCE53296.2022.9730310","url":null,"abstract":"We propose an optimal user selection method on mobility control for ad hoc networks to improve QoS. In the proposed method, the best user, which is the best movable user for QoS, is selected based on physical distances between users in an ad hoc network and on the connection relationships between the users. The method also indicates the best destination to move that user to within a reasonable time. To reduce the search cost to obtain the best destination, the proposed method reduces the areas to be searched by identifying the discrete positions where transmission rates change according to the measurement data model. All the identified positions are examined to determine whether to relay another user to determine the best position. The evaluation results show that the proposed method achieved 99.0% of the maximum throughput obtained by moving the best user to the best destination. Throughput improvement of 10.3% was achieved compared with the conventional user mobility control method, which adopts a heuristic approach. Although the proposed method requires more running time than the conventional heuristic approach, it remains within a reasonable time.","PeriodicalId":350644,"journal":{"name":"2022 IEEE International Conference on Consumer Electronics (ICCE)","volume":"31 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":"121852416","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: 4
Barcode Image Identification Based on Maximum a Posterior Probability 基于最大后验概率的条码图像识别
2022 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2022-01-07 DOI: 10.1109/ICCE53296.2022.9730217
Dongwook Kim, Jungsoo Kang
{"title":"Barcode Image Identification Based on Maximum a Posterior Probability","authors":"Dongwook Kim, Jungsoo Kang","doi":"10.1109/ICCE53296.2022.9730217","DOIUrl":"https://doi.org/10.1109/ICCE53296.2022.9730217","url":null,"abstract":"This paper presents a new method robust to noise for vision-based barcode recognition. We propose an effective and stable barcode recognition technique based on the maximum a posterior probability of observation signals. For robust recognition of barcode image mixed with noise signals, first, the center and angle of the barcode area are extracted without rotation, and second, the barcode recognition techniques using the likelihoods based on multiple barcode scan lines is proposed. This proposed method shows superior performance as a result of its application to various barcode images.","PeriodicalId":350644,"journal":{"name":"2022 IEEE International Conference on Consumer Electronics (ICCE)","volume":"73 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":"114288347","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 Distributed NWDAF Architecture for Federated Learning in 5G 面向5G联合学习的分布式NWDAF架构
2022 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2022-01-07 DOI: 10.1109/ICCE53296.2022.9730220
Youbin Jeon, Hyeonjae Jeong, S. Seo, Taeyun Kim, Haneul Ko, Sangheon Pack
{"title":"A Distributed NWDAF Architecture for Federated Learning in 5G","authors":"Youbin Jeon, Hyeonjae Jeong, S. Seo, Taeyun Kim, Haneul Ko, Sangheon Pack","doi":"10.1109/ICCE53296.2022.9730220","DOIUrl":"https://doi.org/10.1109/ICCE53296.2022.9730220","url":null,"abstract":"For network automation and intelligence in 5G, the network data analytics function (NWDAF) has been introduced as a new network function. However, the existing centralized NWDAF structure can be overloaded if an amount of analytic data are concentrated. In this paper, we introduce a distributed NWDAF structure tailored for federated learning (FL) in 5G. Leaf NWDAFs create local models and root NWDAF construct a global model by aggregating the local models. This structure can guarantee data privacy since local models are created in NF, and can reduce network resource usage because the global model is created by collecting local models.","PeriodicalId":350644,"journal":{"name":"2022 IEEE International Conference on Consumer Electronics (ICCE)","volume":"48 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":"116872866","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: 6
Overhead Reduction for Graph-Based Point Cloud Delivery Using Non-Uniform Quantization 使用非均匀量化降低基于图的点云交付开销
2022 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2022-01-07 DOI: 10.1109/ICCE53296.2022.9730509
Soushi Ueno, T. Fujihashi, T. Koike-Akino, Takashi Watanabe
{"title":"Overhead Reduction for Graph-Based Point Cloud Delivery Using Non-Uniform Quantization","authors":"Soushi Ueno, T. Fujihashi, T. Koike-Akino, Takashi Watanabe","doi":"10.1109/ICCE53296.2022.9730509","DOIUrl":"https://doi.org/10.1109/ICCE53296.2022.9730509","url":null,"abstract":"Graph-based compression can realize a high-quality delivery of three-dimensional (3D) point cloud data over wireless channels. However, it requires a significant amount of communication overhead in sending a graph Fourier transform (GFT) orthogonal matrix. To reduce the overhead, we integrate two methods: Givens rotation and non-uniform quantization. The Givens rotation transforms the GFT orthogonal matrix into angle parameters, and then they are non-uniformly quantized to maintain high quality at low overheads. We demonstrate that the proposed scheme can reduce a communication overhead by 28.6% and improve a 3D reconstruction quality by up to 3.8 dB compared with the conventional schemes.","PeriodicalId":350644,"journal":{"name":"2022 IEEE International Conference on Consumer Electronics (ICCE)","volume":"31 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":"115781417","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: 3
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