2024 IEEE International Conference on Consumer Electronics (ICCE)最新文献_第2页

Fault Detection in 3D-Printing with Deep Learning 利用深度学习检测 3D 打印中的故障

2024 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2024-01-06 DOI: 10.1109/ICCE59016.2024.10444198

Luca Rettenberger, Nils Beyer, Ingo Sieber, Markus Reischl

{"title":"Fault Detection in 3D-Printing with Deep Learning","authors":"Luca Rettenberger, Nils Beyer, Ingo Sieber, Markus Reischl","doi":"10.1109/ICCE59016.2024.10444198","DOIUrl":"https://doi.org/10.1109/ICCE59016.2024.10444198","url":null,"abstract":"Fused filament fabrication is a popular 3D printing process where layers of fusible plastic filament are used to build a workpiece. However, the high manual maintenance needs limit its potential. Given the common incidence of defects in the printed components, automated solutions detecting these errors while printing are of great benefit to every practitioner. Current research primarily focuses on monitoring and optimizing manufacturing processes and printing parameters or using additional sensors to directly observe the printing process and identify errors. However, there is no established procedure for assessing print quality in real time with minimal additional sensors. Our proposed computer vision-based deep-learning system overcomes previous limitations by detecting errors in 3D printing and assessing the quality of printed parts in real time using only a single camera. We record and provide a multi-class image dataset that encompasses different printed geometries, error classes, and printing condition variations. Our extensive evaluation shows that considering various geometries and printing conditions is vital for detecting printing errors. Our proposed computer vision-based deep-learning system enhances 3D printing by automating error detection, enabling practitioners to increase efficiency and print high-quality workpieces.","PeriodicalId":518694,"journal":{"name":"2024 IEEE International Conference on Consumer Electronics (ICCE)","volume":"91 3","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2024-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140531660","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

Experimental Evaluation of the Pre-Coded Windowed OFDM Using SDR 使用 SDR 对预编码窗口 OFDM 进行实验评估

2024 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2024-01-06 DOI: 10.1109/ICCE59016.2024.10444251

Masataka Kamigaito, Kohei Ohno

引用次数: 0

Design and Implementation of a Virtual Assistant by Using 3D Modeling Techniques 利用 3D 建模技术设计和实现虚拟助理

2024 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2024-01-06 DOI: 10.1109/ICCE59016.2024.10444182

Wen-Ting Lu, Cheng-Hung Huang, Chi-Huang Hung, Yao-Yun Hsiao, Xuan-Wei Liu

引用次数: 0

Combined SCF and SCAN Algorithms for Soft-Output Polar Decoding 软输出极性解码的 SCF 和 SCAN 组合算法

2024 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2024-01-06 DOI: 10.1109/ICCE59016.2024.10444390

Pin-Geng Zeng, Cheng-Hung Dixson Lin, Pei-Hsuan Chen

引用次数: 0

A Monitoring System for Cattle Behavior Detection using YOLO-v8 in IoT Environments 在物联网环境中使用 YOLO-v8 检测牛行为的监控系统

2024 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2024-01-06 DOI: 10.1109/ICCE59016.2024.10444145

Kyungchang Jeong, Dong-Ro Kim, Jae-Heyn Ryu, Hyun-Woo Kim, Jinho Cho, Euijong Lee, Ji-Hoon Jeong

引用次数: 0

Movement control of APs constituting a mesh network considering AP movement constraints 考虑到接入点移动限制，对构成网状网络的接入点进行移动控制

2024 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2024-01-06 DOI: 10.1109/ICCE59016.2024.10444486

Ryoga Hashimoto, Satoshi Makido, Tutomu Murase

{"title":"Movement control of APs constituting a mesh network considering AP movement constraints","authors":"Ryoga Hashimoto, Satoshi Makido, Tutomu Murase","doi":"10.1109/ICCE59016.2024.10444486","DOIUrl":"https://doi.org/10.1109/ICCE59016.2024.10444486","url":null,"abstract":"We propose a relay AP movement control method for ad-hoc networks where the APs constitute a mobile infrastructure that responds to hotspot position changes under movement constraints. The proposed method moves the relay AP to an optimal position while considering the constraints of movable position. We consider a virtual spring to the spring model to apply the movement constraints. The proposed method uses a spring model after placing virtual terminals and APs at positions symmetrical to the axis of the movement of the relay AP. We evaluated the proposed method assuming a mesh network with terminals along roads. To clarify the impact of the road widths, we varied the road width and the amount of terminal traffic from the initial placement for our evaluation. This is because the effect of road width cannot be ignored due to the short transmission distance of IEEE802.11. The position of terminal movement in the spring model highly depends on the overflow conditions of the communication link. The evaluation results showed that the throughput degradation from the optimum position is reduced by 24% compared to the extended conventional method, which moves the terminal freely and then moves it within the movement constraint when the road width is 23 m. Compared to the optimal position, the proposed method degraded the throughput by about 8% and achieved near-optimal relay AP movement control.","PeriodicalId":518694,"journal":{"name":"2024 IEEE International Conference on Consumer Electronics (ICCE)","volume":"73 6","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2024-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140531918","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

Application of a single crystal CVD diamond detector for fast neutron measurement in high dose and mixed radiation fields 在高剂量和混合辐射场中应用单晶 CVD 金刚石探测器进行快中子测量

2024 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2024-01-06 DOI: 10.1109/ICCE59016.2024.10444274

M. Kobayashi, Sachiko Yoshihashi, Kunihiro Ogawa, Mitsutaka Isobe, Tsukasa Aso, Masanori Hara, S. Sangaroon, S. Tamaki, I. Murata, Masaki Osakabe

引用次数: 0

Revolutionizing Healthcare Systems: Synergistic Multimodal Ensemble Learning & Knowledge Transfer for Lung Cancer Delineation & Taxonomy 革新医疗保健系统：多模态集合学习与知识转移在肺癌分界与分类中的协同作用

2024 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2024-01-06 DOI: 10.1109/ICCE59016.2024.10444476

Aishita Sharma, Sunil K. Singh, Sudhakar Kumar, Mehak Preet, Brij B. Gupta, Varsha Arya, Kwok Tai Chui

{"title":"Revolutionizing Healthcare Systems: Synergistic Multimodal Ensemble Learning & Knowledge Transfer for Lung Cancer Delineation & Taxonomy","authors":"Aishita Sharma, Sunil K. Singh, Sudhakar Kumar, Mehak Preet, Brij B. Gupta, Varsha Arya, Kwok Tai Chui","doi":"10.1109/ICCE59016.2024.10444476","DOIUrl":"https://doi.org/10.1109/ICCE59016.2024.10444476","url":null,"abstract":"Lung cancer presents a substantial global public health concern, underscoring the crucial role of early detection in enhancing patient prognosis and well-being. This paper presents a novel deep ensemble model for the detection and classification of lung cancer, addressing the pressing issue of high incidence and mortality rates associated with the disease, utilizing transfer learning (TL) with Convolutional Neural Networks (CNNs) and integrating modern technology in the form of fitness trackers. The ensemble combines CNNs namely VGG16, VGG19, InceptionV3, Xception, and DenseNet201 through weighted voting, achieving a remarkable 97.2% accuracy. This innovation extends beyond image analysis by integrating fitness trackers that continuously monitor health metrics, enhancing patient engagement and proactive health management. The framework’s capacity to transform both the diagnosis and treatment of lung cancer is highlighted by its heightened precision and extensive patient monitoring capabilities, offering the prospect of better outcomes and more efficient healthcare delivery.","PeriodicalId":518694,"journal":{"name":"2024 IEEE International Conference on Consumer Electronics (ICCE)","volume":"67 9","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2024-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140531966","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

MSV: Contribution of Modalities based on the Shapley Value MSV：基于沙普利值的模式贡献率

2024 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2024-01-06 DOI: 10.1109/ICCE59016.2024.10444313

Jangyeong Jeon, Jungeun Kim, Jinwoo Park, Junyeong Kim

{"title":"MSV: Contribution of Modalities based on the Shapley Value","authors":"Jangyeong Jeon, Jungeun Kim, Jinwoo Park, Junyeong Kim","doi":"10.1109/ICCE59016.2024.10444313","DOIUrl":"https://doi.org/10.1109/ICCE59016.2024.10444313","url":null,"abstract":"Recently, with the remarkable development of deep learning, more complex tasks caused by real-world applications have been proposed to shift from single-modality learning to multiple-modality comprehension. This also means that the need for models capable of addressing comprehensive information from multi-modal datasets has increased. In multimodal tasks, proper interaction and fusion between different modalities amongst language, vision, sensory, and text play an important role in accurate predictions and identification. Therefore, detecting flaw led by the respective modalities when combining all modalities is of utmost importance. However, the complex, opaque and black-box nature of the model makes it challenging to understand the model’s working and the impact of individual modalities, especially in complicated multimodal tasks. In addressing this issue, we directly employed the method presented in previous works and effectively applied it to the Visual Commonsense Generation task to quantify the contribution of different modalities. In this paper, we introduce the Contribution of Modalities based on the Shapley Value score, a metric designed to measure the marginal contribution of each modality. Drawing inspiration from previous studies that utilized the Shapley value in modality, we extend its application to the ”Visual Commonsense Generation” task. In experiments conducted on three modal tasks, our score offers enhanced interpretability for the multi-modal model.","PeriodicalId":518694,"journal":{"name":"2024 IEEE International Conference on Consumer Electronics (ICCE)","volume":"107 12","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2024-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140531801","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

Studying the Effects of Prolonged Thermal Stress Aiming to Induce Artificial Aging on DRAM Retention-Based Physical Unclonable Functions 研究旨在诱导人工老化的长时间热应力对基于 DRAM 保留的物理不可克隆功能的影响

2024 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2024-01-06 DOI: 10.1109/ICCE59016.2024.10444494

Nikolaos Athanasios Anagnostopoulos, Nico Mexis, Yufan Fan, Stephanie Senjuty Bartsch, Tanja Schaier, Stefan Katzenbeisser, T. Arul

{"title":"Studying the Effects of Prolonged Thermal Stress Aiming to Induce Artificial Aging on DRAM Retention-Based Physical Unclonable Functions","authors":"Nikolaos Athanasios Anagnostopoulos, Nico Mexis, Yufan Fan, Stephanie Senjuty Bartsch, Tanja Schaier, Stefan Katzenbeisser, T. Arul","doi":"10.1109/ICCE59016.2024.10444494","DOIUrl":"https://doi.org/10.1109/ICCE59016.2024.10444494","url":null,"abstract":"This work studies the effects of thermal stress on Dynamic Random-Access Memory (DRAM) retention-based Physical Unclonable Functions (PUFs) based on Commercial Off-The-Shelf (COTS) Single-Board Computer (SBC) modules. Our results show that prolonged thermal stress, in general, leads to a decrease in the entropy of the responses of this PUF (as the number of bit flips is reduced) and a loss of its reliability (as responses taken before and after the stress has been applied to this PUF do not adequately match each other). Nevertheless, we note that as time passes after we stop applying thermal stress to the relevant PUF devices, their responses start to resemble more and more those that they produced before thermal stress was applied to them. As prolonged thermal stress has been utilised in order to induce artificial aging on electronics, our work not only studies the potential effects of aging on such electronics as DRAMs in general and DRAM PUFs in particular, but also sheds some doubt on the ability of this method to induce permanent effects that would truly resemble the effects of aging.","PeriodicalId":518694,"journal":{"name":"2024 IEEE International Conference on Consumer Electronics (ICCE)","volume":"102 2","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2024-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140531815","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