2022 IEEE International Conference on Consumer Electronics (ICCE)最新文献_第9页

A Histogram Matching Technique in Sample Capture for Improving Stability of Adaptive Digital Predistorter 提高自适应数字预失真器稳定性的采样直方图匹配技术

2022 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2022-01-07 DOI: 10.1109/ICCE53296.2022.9730143

Jijun Ren, Xing Wang, Qinqin Cheng, Q. Song

引用次数: 0

Anomaly Detection and Anomaly Location Model for Multiple Attacks Using Finite Automata 基于有限自动机的多重攻击异常检测与异常定位模型

2022 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2022-01-07 DOI: 10.1109/ICCE53296.2022.9730574

Y. Ikeda, K. Sawada

引用次数: 0

Abnormal Condition Detection System based on Sensing / Analysis of Snow Removal Operations 基于除雪作业感知/分析的异常状态检测系统

2022 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2022-01-07 DOI: 10.1109/ICCE53296.2022.9730186

Kenya Sugimoto, Hiroshi Yamamoto, Y. Kitatsuji

{"title":"Abnormal Condition Detection System based on Sensing / Analysis of Snow Removal Operations","authors":"Kenya Sugimoto, Hiroshi Yamamoto, Y. Kitatsuji","doi":"10.1109/ICCE53296.2022.9730186","DOIUrl":"https://doi.org/10.1109/ICCE53296.2022.9730186","url":null,"abstract":"Snow removal operations by snowplows play an important role for securing social activities and transportation of local residents in snowy and cold regions in Japan. However, there are situations where the operation must be suspended due to the heavy traffic of cars and pedestrians even at night. In order to improve the efficiency of the snow removal operations, it is necessary to take measures by identifying the areas where such situations are likely to occur. Therefore, in our study, we propose a new system which detects occurrence of the condition where the snow removal operation changes to the abnormal state. The proposed system uses several cameras to observe the motion of the operator to steer the snowplow. In addition, we propose a method to identify the date, time, and location that the motions of the snow removal operations are much different from the usual ones by analyzing the time-series data of the motion to steer. In our study, the proposed system is deployed in the snowplow managed by Hakuba Village of Nagano Prefecture, Japan to observe the maneuvering behavior of the snow removal operator and we evaluate the effectiveness of the proposed method for estimating abnormal conditions during snow removal operations.","PeriodicalId":350644,"journal":{"name":"2022 IEEE International Conference on Consumer Electronics (ICCE)","volume":"11 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":"134621237","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

The Convergence System of an IoT Standard Service Platform and an Autonomous Drone 物联网标准服务平台与自主无人机融合系统

2022 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2022-01-07 DOI: 10.1109/ICCE53296.2022.9730389

Seungwoon Lee, B. Roh, S. J. Kim

引用次数: 1

Automatic Street Parking Space Detection Using Visual Information and Convolutional Neural Networks 基于视觉信息和卷积神经网络的街道停车位自动检测

2022 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2022-01-07 DOI: 10.1109/ICCE53296.2022.9730584

Tala Bazzaza, Zuhao Chen, Sandhiya Prabha, H. R. Tohidypour, Yixiao Wang, M. Pourazad, P. Nasiopoulos, Victor C. M. Leung

引用次数: 2

Transmission Scheduling for Solar-Powered Wireless Monitoring with Data Immediacy 具有数据即时性的太阳能无线监测传输调度

2022 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2022-01-07 DOI: 10.1109/ICCE53296.2022.9730135

Ya-Ju Chien, Yi-Ting Chen, Shi Yu, Meng-Lin Ku, Chih-Min Yu

引用次数: 1

PEM Fuel Cell Design Simulation for Electric Vehicles Using Artificial Neural Networks 基于人工神经网络的电动汽车PEM燃料电池设计仿真

2022 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2022-01-07 DOI: 10.1109/ICCE53296.2022.9730347

Amira Mohamed, Hatem Ibrahem, Ki-Bum Kim

引用次数: 1

Evaluation of Wireless Connectivity in an Automated Warehouse at 60 GHz 自动化仓库60ghz无线连接评价

2022 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2022-01-07 DOI: 10.1109/ICCE53296.2022.9730123

Rahul Gulia, Sayed Ashraf Mamun, Abhishek Vashist, A. Ganguly, C. Hochgraf, Andres Kwasinski, M. Kuhl

{"title":"Evaluation of Wireless Connectivity in an Automated Warehouse at 60 GHz","authors":"Rahul Gulia, Sayed Ashraf Mamun, Abhishek Vashist, A. Ganguly, C. Hochgraf, Andres Kwasinski, M. Kuhl","doi":"10.1109/ICCE53296.2022.9730123","DOIUrl":"https://doi.org/10.1109/ICCE53296.2022.9730123","url":null,"abstract":"Industry 4.0 autonomous material handling agents demand high-speed indoor network connectivity in warehouses. Wireless interconnections in the 60 GHz bands have been demonstrated to provide multi-gigabit/second data rates in indoor environments. This paper aims to investigate network connectivity in the 60 GHz millimeter-wave band inside an automated warehouse. The challenges to robust and high-speed network connectivity, especially, at mmWave frequencies stem from lots of non-line-of-sight (nLOS) paths between transmitter and receivers caused by obstructing structures such as metal shelves and boxes. The added complexity of dynamic variations in the configuration of the warehouse and the multipath reflections and shadow-fading effects add to the challenges of establishing a stable and reliable yet fast network coverage. In this paper, we evaluate the performance of a 60 GHz wireless network inside a smart warehouse through simulations using Network Simulator-3 (NS-3). We consider a realistic indoor warehouse environment with a large number of metallic shelves and contents with dimensions per material handling standards. Our simulation results show that the performance of the network depends on whether line-of-sight (LOS) and nLOS exists between the agents and the Access Point, the presence of a reflective environment, and the number of autonomous material handling agents (AMHAs) in the warehouse.","PeriodicalId":350644,"journal":{"name":"2022 IEEE International Conference on Consumer Electronics (ICCE)","volume":"100 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":"128532557","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

Distinct Feature Labeling Methods for SVM-Based AMD Automated Detector on 3D OCT Volumes 基于svm的3D OCT自动检测器的特征标记方法

2022 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2022-01-07 DOI: 10.1109/ICCE53296.2022.9730775

Yao-Wen Yu, Cheng-Hung Lin, Cheng-Kai Lu, Jiakui Wang, Tzu-Lun Huang

{"title":"Distinct Feature Labeling Methods for SVM-Based AMD Automated Detector on 3D OCT Volumes","authors":"Yao-Wen Yu, Cheng-Hung Lin, Cheng-Kai Lu, Jiakui Wang, Tzu-Lun Huang","doi":"10.1109/ICCE53296.2022.9730775","DOIUrl":"https://doi.org/10.1109/ICCE53296.2022.9730775","url":null,"abstract":"Today's automated detectors of Age-related macular degeneration (AMD) on optical coherence tomography (OCT) volumes using the support vector machine (SVM) are widely researched in the field of ophthalmology. Additionally, an OCT volume is three-dimensional (3D) data composed of several OCT images. Therefore, two feature labeling methods, the slice-chain labeling method and the slice-threshold labeling method, are investigated for the 3D OCT volume in this paper. The two labeling methods are evaluated in this paper because they influence detection accuracy for the SVM-based AMD automated detector and the number of features stored in the memory of SVM hardware. According to the quantization analysis, we can easily compare several types of feature extraction in the local binary patterns (LBP) and linear configuration patterns (LCP) in the data that have to be stored in the RAM. From the experiment results, the slice-threshold labeling method achieves a high detection accuracy of 96.36% with 35.34% features saved in the memory of SVM hardware compared with the slice-threshold labeling method.","PeriodicalId":350644,"journal":{"name":"2022 IEEE International Conference on Consumer Electronics (ICCE)","volume":"53 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":"134227759","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

Toward Collaborative Game Commentating Utilizing Pre-Trained Generative Language Models 利用预训练生成语言模型的协作游戏解说

2022 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2022-01-07 DOI: 10.1109/ICCE53296.2022.9730353

Junjie H. Xu, Hong Huang, Xiaoling Ling, Pujana Paliyawan

引用次数: 0