2020 IEEE 10th International Conference on Consumer Electronics (ICCE-Berlin)最新文献_第3页

On Flashing Over The Air “FOTA” for IoT Appliances – An ATMEL Prototype 关于物联网设备的空中闪烁“FOTA”- ATMEL原型

2020 IEEE 10th International Conference on Consumer Electronics (ICCE-Berlin) Pub Date : 2020-11-09 DOI: 10.1109/ICCE-Berlin50680.2020.9352203

Wael Badawy, Ahmed I. Ahmed, Samy Sharf, Rafaat Abd Elhamied, Mostafa Mekky, M. A. Elhamied

引用次数: 4

Securing IP Cores in CE Systems using Key-driven Hash-chaining based Steganography 使用基于密钥驱动哈希链的隐写术保护CE系统中的IP核

2020 IEEE 10th International Conference on Consumer Electronics (ICCE-Berlin) Pub Date : 2020-11-09 DOI: 10.1109/ICCE-Berlin50680.2020.9352192

Mahendra Rathor, Pallabi Sarkar, V. Mishra, A. Sengupta

引用次数: 0

Artificial Intelligence Service Architecture for Edge Device 面向边缘设备的人工智能服务架构

2020 IEEE 10th International Conference on Consumer Electronics (ICCE-Berlin) Pub Date : 2020-11-09 DOI: 10.1109/ICCE-Berlin50680.2020.9352184

Seungwoo Keum, Youngkee Kim, D. Siracusa, Jaewon Moon

{"title":"Artificial Intelligence Service Architecture for Edge Device","authors":"Seungwoo Keum, Youngkee Kim, D. Siracusa, Jaewon Moon","doi":"10.1109/ICCE-Berlin50680.2020.9352184","DOIUrl":"https://doi.org/10.1109/ICCE-Berlin50680.2020.9352184","url":null,"abstract":"Edge computing is getting more focused recently due to high demand of Artificial Intelligence application, for example, detection of wearing masks from a video stream. In edge computing, the AI applications are placed near data source to improve quality of service, and there are several researches to bring AI service onto edge device such as TensorFlow Serving. However, existing researches focus on providing accessibility of the trained model itself and require additional preprocessing and postprocessing of data to build an end-to-end service. In this paper, an AI Service Architecture for an Edge Device is proposed to provide accessibility to the AI service itself. The proposed architecture provides AI as a service, which means it includes pre-processing and postprocessing, as well as the model itself. Since it includes all the methods which consists an AI service, the proposed architecture provides more intuitive ways to bring an AI method to edge device. Moreover, it defines interfaces to configure and access the AI service, which makes it suitable apply microservice architecture.","PeriodicalId":438631,"journal":{"name":"2020 IEEE 10th International Conference on Consumer Electronics (ICCE-Berlin)","volume":"2672 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114975160","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

Utilization of design patterns in AUTOSAR Adaptive standard AUTOSAR自适应标准中设计模式的应用

2020 IEEE 10th International Conference on Consumer Electronics (ICCE-Berlin) Pub Date : 2020-11-09 DOI: 10.1109/ICCE-Berlin50680.2020.9352172

M. Kotur, N. Lukic, Momcilo Krunic, Gordana S. Velikic

引用次数: 1

A Motion Estimation Search Algorithm and its Hardware Implementation for HEVC/H.265 HEVC/H.265的运动估计搜索算法及其硬件实现

2020 IEEE 10th International Conference on Consumer Electronics (ICCE-Berlin) Pub Date : 2020-11-09 DOI: 10.1109/ICCE-Berlin50680.2020.9352198

Sushanta Gogoi, Rangababu Peesapati

引用次数: 1

Received Signal Strength Indicator Analysis for Item Tracking using Chipless RFID 无芯片RFID物品跟踪接收信号强度指标分析

2020 IEEE 10th International Conference on Consumer Electronics (ICCE-Berlin) Pub Date : 2020-11-09 DOI: 10.1109/ICCE-Berlin50680.2020.9352171

Vijay Sharma, M. Hashmi

引用次数: 1

Smart Home Energy Management System and How to Make It Cost Affordable 智能家居能源管理系统以及如何使其成本合理

2020 IEEE 10th International Conference on Consumer Electronics (ICCE-Berlin) Pub Date : 2020-11-09 DOI: 10.1109/ICCE-Berlin50680.2020.9352162

Javier Alberto Gutiérrez-Peña, José María Flores Arias, F. Outeiriño, M. A. Lopez, F. J. Quiles-Latorre

引用次数: 0

One solution of camera service in AUTOSAR Adaptive environment AUTOSAR自适应环境下摄像机服务的一种解决方案

2020 IEEE 10th International Conference on Consumer Electronics (ICCE-Berlin) Pub Date : 2020-11-09 DOI: 10.1109/ICCE-Berlin50680.2020.9352187

M. Kotur, N. Lukic, Momcilo Krunic, Gordana S. Velikic

{"title":"One solution of camera service in AUTOSAR Adaptive environment","authors":"M. Kotur, N. Lukic, Momcilo Krunic, Gordana S. Velikic","doi":"10.1109/ICCE-Berlin50680.2020.9352187","DOIUrl":"https://doi.org/10.1109/ICCE-Berlin50680.2020.9352187","url":null,"abstract":"The rapid evolution of the automotive industry sets new requirements and challenges in the development of autonomous driving software. As an answer to these industry requests, for the development of such complex systems, defined standards and software development process are required, which will minimize the risk to an acceptable minimum. These demands have become a foundation for AUTOSAR – an open, standardized software architecture, which introduced a new standard – Adaptive platform. Since the camera sensor is one of the most important, but also the most critical sensors in the cars, the implementation of the camera service component is presented, which relies on the usage of AUTOSAR Adaptive platform, C++ programming language and ARXML scheme, as parts of Adaptive standard. The solution was tested by measuring the performance of the camera services, more precisely the time required to deliver the frame from the camera to the client application. This way of developing software components, enables system resource planning at the design time, thus contributing to security and avoiding unwanted errors.","PeriodicalId":438631,"journal":{"name":"2020 IEEE 10th International Conference on Consumer Electronics (ICCE-Berlin)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127761929","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

Multi-Tier Accent Classification For Improved Transcribing 改进转录的多层重音分类

2020 IEEE 10th International Conference on Consumer Electronics (ICCE-Berlin) Pub Date : 2020-11-09 DOI: 10.1109/ICCE-Berlin50680.2020.9352197

Damiano Nicastro, Frankie Inguanez

{"title":"Multi-Tier Accent Classification For Improved Transcribing","authors":"Damiano Nicastro, Frankie Inguanez","doi":"10.1109/ICCE-Berlin50680.2020.9352197","DOIUrl":"https://doi.org/10.1109/ICCE-Berlin50680.2020.9352197","url":null,"abstract":"Corporate companies are becoming more aware of gathering public sentiment, which is facilitated with the presence and vast usage of social networks and media platforms. This is a big data problem, and thus automated machine learning systems are deployed. The process requires the analysis of textual mentions, visual illustrations of the brand and/or respective location, as well as audio mentions of the corporate identity and respective products. When focusing on gathering sentiment analysis from the spoken language, the problem of accent recognition is evident across native and non-native English speakers. Thus, in this research, we investigate the key features of accent recognition, calibrate a proposed system based on previous research using the Wildcat Corpus, and apply on a recent dataset, the Common Voice. Finally applying to a custom dataset gathered from an online media platform. We propose a novel hierarchical classifier solution, trained on the Common Voice dataset and tested on the custom dataset. Our three-tier solution achieved 86% and 89% in the first two levels of accents, and 59% at the final level. From this research, we highlight the issues around the considered datasets and propose a number of recommendations for future researchers. In this research we are not improving or comparing any existing works, but rather offer new insights on the Common Voice dataset. We are presenting a hierarchical classifier for the accent classification problem as proposed.","PeriodicalId":438631,"journal":{"name":"2020 IEEE 10th International Conference on Consumer Electronics (ICCE-Berlin)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126150996","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

Side Channel Attack Resistance of the Elliptic Curve Point Multiplication using Eisenstein Integers 使用爱森斯坦整数的椭圆曲线点乘法的侧信道攻击阻力

2020 IEEE 10th International Conference on Consumer Electronics (ICCE-Berlin) Pub Date : 2020-11-09 DOI: 10.1109/ICCE-Berlin50680.2020.9352202

Johann-Philipp Thiers, Malek Safieh, J. Freudenberger

引用次数: 2