2022 IEEE 12th International Conference on Consumer Electronics (ICCE-Berlin)最新文献

Continuous Supervision and Diagnostics System for Legacy Vehicles Integrated to Ambient Intelligence 集成环境智能的传统车辆持续监控和诊断系统

2022 IEEE 12th International Conference on Consumer Electronics (ICCE-Berlin) Pub Date : 2022-09-02 DOI: 10.1109/ICCE-Berlin56473.2022.9937121

Walmir A. Silva, M. N. Rylo, Guido Soprano Machado, R. L. Medeiros, V. Lucena

引用次数: 0

Testing Physical Unclonable Functions Implemented on Commercial Off-the-Shelf NAND Flash Memories Using Programming Disturbances 利用编程干扰测试商用现成NAND闪存上实现的物理不可克隆功能

2022 IEEE 12th International Conference on Consumer Electronics (ICCE-Berlin) Pub Date : 2022-09-02 DOI: 10.1109/ICCE-Berlin56473.2022.10021310

N. Anagnostopoulos, Yufan Fan, Muhammad Umair Saleem, Nico Mexis, Emiliia Geloczi, Felix Klement, Florian Frank, André Schaller, T. Arul, S. Katzenbeisser

{"title":"Testing Physical Unclonable Functions Implemented on Commercial Off-the-Shelf NAND Flash Memories Using Programming Disturbances","authors":"N. Anagnostopoulos, Yufan Fan, Muhammad Umair Saleem, Nico Mexis, Emiliia Geloczi, Felix Klement, Florian Frank, André Schaller, T. Arul, S. Katzenbeisser","doi":"10.1109/ICCE-Berlin56473.2022.10021310","DOIUrl":"https://doi.org/10.1109/ICCE-Berlin56473.2022.10021310","url":null,"abstract":"In this work, we present a Physical Unclonable Function (PUF) implemented on a Commercial Off-The-Shelf (COTS) NAND Flash memory module using programming disturbances, and examine the robustness of its responses to environmental variations. In particular, we test a removable Flash memory module serving as a PUF, under nominal conditions, as well as under temperature and voltage variations. To determine its resilience to environmental variations, we utilise well-known PUF metrics, such as the Hamming weight and the intra-device Hamming distance. Our results prove that, in general, the tested Samsung K9F1G08U0E NAND Flash memory can be used to realise a lightweight, scalable, and flexible hardware security primitive, namely a PUF, that can be utilised in the context of smart homes, smart vehicles, and other smart applications, as well as to protect commercial devices and networks in general. However, voltage variations seem to pose a substantial threat to the adoption of this PUF in practice. This threat may be addressed by small-scale design improvements that should be implemented and tested in practice as part of future works.","PeriodicalId":138931,"journal":{"name":"2022 IEEE 12th International Conference on Consumer Electronics (ICCE-Berlin)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116443871","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

Cell-wise encoding and decoding for TLC flash memories TLC闪存的Cell-wise编码和解码

2022 IEEE 12th International Conference on Consumer Electronics (ICCE-Berlin) Pub Date : 2022-09-02 DOI: 10.1109/ICCE-Berlin56473.2022.9937136

Daniel Nicolas Bailon, S. Shavgulidze, J. Freudenberger

{"title":"Cell-wise encoding and decoding for TLC flash memories","authors":"Daniel Nicolas Bailon, S. Shavgulidze, J. Freudenberger","doi":"10.1109/ICCE-Berlin56473.2022.9937136","DOIUrl":"https://doi.org/10.1109/ICCE-Berlin56473.2022.9937136","url":null,"abstract":"Automotive computing applications like AI databases, ADAS, and advanced infotainment systems have a huge need for persistent memory. This trend requires NAND flash memories designed for extreme automotive environments. However, the error probability of NAND flash memories has increased in recent years due to higher memory density and production tolerances. Hence, strong error correction coding is needed to meet automotive storage requirements. Many errors can be corrected by soft decoding algorithms. However, soft decoding is very resource-intensive and should be avoided when possible. NAND flash memories are organized in pages, and the error correction codes are usually encoded page-wise to reduce the latency of random reads. This page-wise encoding does not reach the maximum achievable capacity. Reading soft information increases the channel capacity but at the cost of higher latency and power consumption. In this work, we consider cell-wise encoding, which also increases the capacity compared to page-wise encoding. We analyze the cell-wise processing of data in triple-level cell (TLC) NAND flash and show the performance gain when using Low-Density Parity-Check (LDPC) codes. In addition, we investigate a coding approach with page-wise encoding and cell-wise reading.","PeriodicalId":138931,"journal":{"name":"2022 IEEE 12th International Conference on Consumer Electronics (ICCE-Berlin)","volume":"31 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116848968","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

Gesture recognition of wrist motion using low-frequency PPG 基于低频PPG的手腕动作手势识别

2022 IEEE 12th International Conference on Consumer Electronics (ICCE-Berlin) Pub Date : 2022-09-02 DOI: 10.1109/ICCE-Berlin56473.2022.9937135

M. N. Rylo, Walmir A. Silva, R. L. P. Medeiros, V. Lucena

引用次数: 0

Neural network aided reference voltage adaptation for NAND flash memory 神经网络辅助的NAND快闪记忆体参考电压自适应

2022 IEEE 12th International Conference on Consumer Electronics (ICCE-Berlin) Pub Date : 2022-09-02 DOI: 10.1109/ICCE-Berlin56473.2022.9937118

Daniel Nicolas Bailon, G. Taburet, S. Shavgulidze, J. Freudenberger

{"title":"Neural network aided reference voltage adaptation for NAND flash memory","authors":"Daniel Nicolas Bailon, G. Taburet, S. Shavgulidze, J. Freudenberger","doi":"10.1109/ICCE-Berlin56473.2022.9937118","DOIUrl":"https://doi.org/10.1109/ICCE-Berlin56473.2022.9937118","url":null,"abstract":"Large persistent memory is crucial for many applications in embedded systems and automotive computing like AI databases, ADAS, and cutting-edge infotainment systems. Such applications require reliable NAND flash memories made for harsh automotive conditions. However, due to high memory densities and production tolerances, the error probability of NAND flash memories has risen. As the number of program/erase cycles and the data retention times increase, non-volatile NAND flash memories' performance and dependability suffer. The read reference voltages of the flash cells vary due to these aging processes. In this work, we consider the issue of reference voltage adaption. The considered estimation procedure uses shallow neural networks to estimate the read reference voltages for different life-cycle conditions with the help of histogram measurements. We demonstrate that the training data for the neural networks can be enhanced by using shifted histograms, i.e., a training of the neural networks is possible based on a few measurements of some extreme points used as training data. The trained neural networks generalize well for other life-cycle conditions.","PeriodicalId":138931,"journal":{"name":"2022 IEEE 12th International Conference on Consumer Electronics (ICCE-Berlin)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131382309","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

In-Vehicle Monitoring for Passengers' Safety 车载监控乘客安全

2022 IEEE 12th International Conference on Consumer Electronics (ICCE-Berlin) Pub Date : 2022-09-02 DOI: 10.1109/ICCE-Berlin56473.2022.9937111

Loujaina Hatim Backar, Meriam A. Khalifa, Mohammed Abdel-Megeed Salem

{"title":"In-Vehicle Monitoring for Passengers' Safety","authors":"Loujaina Hatim Backar, Meriam A. Khalifa, Mohammed Abdel-Megeed Salem","doi":"10.1109/ICCE-Berlin56473.2022.9937111","DOIUrl":"https://doi.org/10.1109/ICCE-Berlin56473.2022.9937111","url":null,"abstract":"Driving drowsiness detection through videos/images is one of the most important issues for driver safety in today's world. Because of the great advancements in technology in the last few decades, deep learning techniques applied to computer vision applications such as sleep detection have shown promising results. Drowsiness is characterised by closed eyes, yawning, and micro-sleeps. Moreover, one of the biggest tragedies in the news lately, is toddlers or pets dying from heat built up in cars. In this work, a real-time deep learning algorithm is designed to monitor driver drowsiness, driver distraction, as well as an alert system for forgetting children and pets, and a seat belt usage system. The approach taken was to recognise and localise the face, eyes, and mouth, using the Dlib library, Histogram of Oriented Gradients, and a facial landmark predictor. The eye aspect ratio and the mouth aspect ratio are then calculated and evaluated for yawning detection and micro-sleep detection. The information on the driver's state was saved using a Firebase real-time database. This information is used by the children and pets detection algorithm, which sends an automatic email to the driver if a child or pet is discovered in the backseat when the driver is not in the car. When a driver uses a cell phone, eats, or drinks while driving, this is considered as a distraction. Canny edge detection is used to monitor the seat belt. Furthermore, the proposed method was subjected to several rounds of testing, that proved its viability and reliability.","PeriodicalId":138931,"journal":{"name":"2022 IEEE 12th International Conference on Consumer Electronics (ICCE-Berlin)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131618045","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

Image Captioning using Pretrained Language Models and Image Segmentation 使用预训练语言模型和图像分割的图像字幕

2022 IEEE 12th International Conference on Consumer Electronics (ICCE-Berlin) Pub Date : 2022-09-02 DOI: 10.1109/ICCE-Berlin56473.2022.9937098

S. Bianco, Gabriele Ferrario, Paolo Napoletano

引用次数: 1

Analysing Foreground Segmentation in Deep Learning Based Depth Estimation on Free-Viewpoint Video Systems 基于深度学习的自由视点视频系统的前景分割分析

2022 IEEE 12th International Conference on Consumer Electronics (ICCE-Berlin) Pub Date : 2022-09-02 DOI: 10.1109/ICCE-Berlin56473.2022.9937087

Javier Usón, J. Cabrera, Daniel Corregidor, Narciso García

引用次数: 0

Incremental Two-Stage Logo Recognition with Knowledge Distillation 基于知识蒸馏的增量两阶段标识识别

2022 IEEE 12th International Conference on Consumer Electronics (ICCE-Berlin) Pub Date : 2022-09-02 DOI: 10.1109/ICCE-Berlin56473.2022.9937102

S. Bianco, M. Buzzelli, Gianluca Giudice

引用次数: 0

A LoRa Network Emulator Using Software Defined Radio 使用软件定义无线电的LoRa网络仿真器

2022 IEEE 12th International Conference on Consumer Electronics (ICCE-Berlin) Pub Date : 2022-09-02 DOI: 10.1109/ICCE-Berlin56473.2022.9937124

M. Shawki, Ziad Ayman, Kareem Mahmoud, T. Elshabrawy

{"title":"A LoRa Network Emulator Using Software Defined Radio","authors":"M. Shawki, Ziad Ayman, Kareem Mahmoud, T. Elshabrawy","doi":"10.1109/ICCE-Berlin56473.2022.9937124","DOIUrl":"https://doi.org/10.1109/ICCE-Berlin56473.2022.9937124","url":null,"abstract":"Nowadays, the internet of things and its application have rapid growth in the industry and research committee. Many of those applications require long battery life. Such applications have motivated the recent developments in LoRa technology. LoRa has a simple modulation scheme that allows the transmission with low power consumption, low bit rates, and extensive coverage area through an loT network. As a result, the capacity estimation of LoRa networks has paramount importance in the design phase. This paper aims to develop a LoRa network emulator that can represent the LoRa traffic received from thousands of loT devices at a given LoRa gateway. The proposed emulator utilizes a software defined radio (SDR) device and LoRa commercial transceiver to design a realistic network capacity estimation. The proposed network emulator incorporates different wireless channel conditions within the network under study. Furthermore, the transmitted signals from the SDR consider interference scenarios in terms of relative time over lap as well as SIR between interfering signals. The capacity of LoRa networks can be evaluated by the proposed emulator. The presented emulator for capacity evaluation has the advantage that it derives the cumulative distribution that could be supported from the cell-edge towards the cell-center of an individual LoRa gateway. The experimental result shows that the emulator can generate a representative SIR/SNR profile by comparing target emulated traffic signal level cumulative distribution with that measured by a commercial LoRa transceiver. The emulator adopts a calibration process such that the confidence interval for estimated data extraction rate performance is within the scale of ±2 %.","PeriodicalId":138931,"journal":{"name":"2022 IEEE 12th International Conference on Consumer Electronics (ICCE-Berlin)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128882751","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