2022 IEEE International Conference on Consumer Electronics (ICCE)最新文献_第3页

Cooperative Spectrum Sensing System using Residual Convolutional Neural Network 基于残差卷积神经网络的协同频谱感知系统

2022 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2022-01-07 DOI: 10.1109/ICCE53296.2022.9730218

Myke D. M. Valadão, Diego A. Amoedo, Antônio M. C. Pereira, Samuel A. Tavares, Rafael S. Furtado, Celso B. Carvalho, André L. A. da Costa, W. S. S. Júnior

引用次数: 3

Prediction Evaluation for RSSI Data Generated from Leaky Coaxial Cables over Indoor Environment 室内环境下同轴电缆泄漏RSSI数据预测评价

2022 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2022-01-07 DOI: 10.1109/ICCE53296.2022.9730575

Pengcheng Hou, Junjie Zhu, Kenta Nagayama, Yafei Hou, S. Denno

引用次数: 0

IO Virtualization for Real Time Automotive Systems 实时汽车系统的IO虚拟化

2022 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2022-01-07 DOI: 10.1109/ICCE53296.2022.9730181

Govindarajan Sriramakrishnan, Mihir Mody, G. Shurtz, Charles Fuoco, Kedar Chitnis, Nikhil Devshatwar, D. Steiss, Jonathan Bergsagel, Jason Jones, Prithvi Shankar Y A

{"title":"IO Virtualization for Real Time Automotive Systems","authors":"Govindarajan Sriramakrishnan, Mihir Mody, G. Shurtz, Charles Fuoco, Kedar Chitnis, Nikhil Devshatwar, D. Steiss, Jonathan Bergsagel, Jason Jones, Prithvi Shankar Y A","doi":"10.1109/ICCE53296.2022.9730181","DOIUrl":"https://doi.org/10.1109/ICCE53296.2022.9730181","url":null,"abstract":"Virtualization is common in enterprise systems to isolate multiple server applications using the same underlying HW. In automotive systems virtualization is fast becoming table stakes to isolate safety applications like ADAS (Advanced Driver Assist System) and infotainment using the same underlying SOC. This presents unique challenges related to peripheral IO virtualization, not seen in enterprise systems, like deterministic latency to external memory (<5 cycles) and high data throughput (6-10GB/s for real-time camera's and display's. Traditional approach to peripheral virtualization involves usage of a centralized IOMMU using 2-level page table with a table walk through, which make the scheme non-deterministic and lower throughput. This paper proposes a automotive friendly approach to peripheral IO virtualization, using multiple innovations like, HW engine for level 1 deterministic scatter-gather operation via Peripheral Address Translation (PAT) unit, level 2 virtual machine context aware translation via Peripheral Virtualization Unit (PVU), and ability for these schemes to co-exists with tradition IOMMU schemes for non-real time traffic. The proposed virtualization system is implemented on the Jacinto 7 platform to virtualize a multi-camera ADAS system with multimedia infotainment application to give deterministic peripheral IO address translation latency of 2 cycles per transaction and system data throughput of 8 GB/s.","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":"114838673","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 Local Interconnect Network Controller for Resource-Constrained Automotive Devices 资源受限汽车设备的本地互连网络控制器

2022 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2022-01-07 DOI: 10.1109/ICCE53296.2022.9730493

K. Cho, Hyun Woo Oh, Jeongeun Kim, Y. Jeong, Seung Eun Lee

引用次数: 0

Image Generation by Residual Block Based Generative Adversarial Networks 基于残差分块生成对抗网络的图像生成

2022 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2022-01-07 DOI: 10.1109/ICCE53296.2022.9730533

Kuan-Hsien Liu, Chien-Cheng Lin, Tsung-Jung Liu

{"title":"Image Generation by Residual Block Based Generative Adversarial Networks","authors":"Kuan-Hsien Liu, Chien-Cheng Lin, Tsung-Jung Liu","doi":"10.1109/ICCE53296.2022.9730533","DOIUrl":"https://doi.org/10.1109/ICCE53296.2022.9730533","url":null,"abstract":"Generative adversarial network is a popular deep learning technique for solving artificial intelligence tasks, and it has been widely studied and applied for processing images, voices, texts and so on. Especially, generative adversarial network is adopted in the field of image processing, such as image style transfer, image restoration, image super-resolution and so on. Although generative adversarial networks show remarkable success in image generation, training process is usually unstable and trained models collapse where many of the generated images may contain the same color or texture pattern. In this paper, the network of generator and discriminator are modified, and the residual block is added to the generative adversarial network architecture to learn better image features. To reduce the loss of image feature during training and get more features to stabilize image generation, we use feature matching to minimize feature loss between the real and generated images for stable training. In the experiment, performance improvement can be obtained by adopting our proposed method, which is also better than some state-of-the-art methods.","PeriodicalId":350644,"journal":{"name":"2022 IEEE International Conference on Consumer Electronics (ICCE)","volume":"9 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":"117146110","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

Constrained Neural Estimation of Bluetooth Direction of Arrival with Non-Uniform Arrays 非均匀阵列蓝牙到达方向的约束神经估计

2022 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2022-01-07 DOI: 10.1109/ICCE53296.2022.9730266

M. Perrone, D. Pau, N. Piazzese

{"title":"Constrained Neural Estimation of Bluetooth Direction of Arrival with Non-Uniform Arrays","authors":"M. Perrone, D. Pau, N. Piazzese","doi":"10.1109/ICCE53296.2022.9730266","DOIUrl":"https://doi.org/10.1109/ICCE53296.2022.9730266","url":null,"abstract":"Bluetooth Low Energy (BLE) 5.1 boosts indoor positioning solutions with its new direction finding features: the HAAT (high accuracy asset tracking) and the BT PIP (Bluetooth public indoor positioning), devised both for the consumer and the industrial field. To achieve efficient and compact solutions, there is a growing interest in the usage of non-uniform an-tenna arrays, which are much more flexible in terms of layout design compared to uniform arrays, while retaining the same capabilities. Unfortunately, there are only a few direction-finding algorithms that work finely with non-uniform arrays, and the current BLE HAAT or BT PIP solutions are all based on the MUltiple Signal Classification algorithm (MUSIC). However, MUSIC requires the calculation of the covariance matrix and a peak-finding procedure in the computed pseudo-spectrum, making it prohibitive to develop real-time estimations on low-cost microcontroller units (MCUs). This paper describes an innovative approach to overcome these limitations. We consider as a study case a BLE HAAT application with a rectangular array, which is comprised of eight antenna elements evenly spaced a square edge. This array is non-uniform due to the lack of the central element. In conjunction to the selected topology, we use a tiny artificial neural network (ANN), which is trained and tested on a dataset specifically devised for this task. Unlike other datasets, it contains not only additive white Gaussian noise (AWGN) but also increasingly strong coherent interference. The proposed ANN is implemented on a low-cost microcontroller unit and is able to estimate, in a few milliseconds, a very precise direction of arrival (DoA) with only one sample per antenna element. Given the same input samples, the proposed solution is three orders of magnitude faster than MUSIC and has a better performance both in terms of azimuth and elevation.","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":"117319455","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

Handover Performance of Split RAN-Based Vehicular Networks: A Simulation Study 基于分离式局域网的车辆网络切换性能仿真研究

2022 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2022-01-07 DOI: 10.1109/ICCE53296.2022.9730374

Daeyoung Jung, Dongju Cha, Dongkyun Ryoo, K. Lee, Jun-Sik Kim, S. Park, Sangheon Pack

引用次数: 0

A Novel Efficient Power Saving Method for Always-On Display 一种新型的常亮显示高效节能方法

2022 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2022-01-07 DOI: 10.1109/ICCE53296.2022.9730166

Un-Ki Park, Min-Sik Kim, Jong-Hyuk Lee, Hyeon-Su Park, H. Lim, Jae-Youl Lee

引用次数: 1

Identity-Based Authentication Technique for IoT Devices 物联网设备基于身份的认证技术

2022 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2022-01-07 DOI: 10.1109/ICCE53296.2022.9730173

B. B. Gupta, Akshat Gaurav, Kwok Tai Chui, Ching-Hsien Hsu

引用次数: 6

Wide-Area Road Surface Condition Observation System utilizing Traveling Sensing by LiDAR 利用激光雷达行感测的广域路面状况观测系统

2022 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2022-01-07 DOI: 10.1109/ICCE53296.2022.9730415

Ryota Akiyama, H. Yamamoto, Y. Kitatsuji

{"title":"Wide-Area Road Surface Condition Observation System utilizing Traveling Sensing by LiDAR","authors":"Ryota Akiyama, H. Yamamoto, Y. Kitatsuji","doi":"10.1109/ICCE53296.2022.9730415","DOIUrl":"https://doi.org/10.1109/ICCE53296.2022.9730415","url":null,"abstract":"In order to improve the efficiency of the snow removal activity in heavy snowfall areas, the measurement of the amount of snowfall on roads is one of the most important tasks. However, at present, the snow removal operator visually measures the snow depth by using rulers and poles, which becomes a burden for the operator. In addition, the measurement of road surface condition is also an important task for the maintenance of paved roads but it is difficult for local governments to perform the measurement in a wide area due to lack of budget and staff in charge. The existing research has proposed a method of measuring conditions of the road surface by using ultrasonic distance sensors and by analyzing camera images. However, the measurement range is limited to the vicinity of the place where the measurement device is installed, and it is difficult to correctly measure the undulations of the road surface and snow surface. Therefore, in this study, we propose a new system that utilizes high precision sensors such as LiDAR (Light Detection and Ranging) which can measure the shape of the road surface. By installing the sensors on the snowplows and vehicles owned by local governments, the system can measure the point cloud data for a wide area while the vehicles are in operation. Furthermore, the method to estimate the undulations of the road surface by analyzing the point cloud data that represents the shape of the road surface is proposed.","PeriodicalId":350644,"journal":{"name":"2022 IEEE International Conference on Consumer Electronics (ICCE)","volume":"14 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":"122017731","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