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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
{"title":"Experimental Evaluation of the Pre-Coded Windowed OFDM Using SDR","authors":"Masataka Kamigaito, Kohei Ohno","doi":"10.1109/ICCE59016.2024.10444251","DOIUrl":"https://doi.org/10.1109/ICCE59016.2024.10444251","url":null,"abstract":"OFDM (Orthogonal Frequency Division Multiplexing) is a modulation scheme used for many wireless systems such as mobile systems, wireless LAN, etc. OFDM is suited for high data rate communications systems; however, the Out-Of-Band Emission (OOBE) power is high, it should be suppressed to improve frequency utilization efficiency.","PeriodicalId":518694,"journal":{"name":"2024 IEEE International Conference on Consumer Electronics (ICCE)","volume":"105 1","pages":"1-2"},"PeriodicalIF":0.0,"publicationDate":"2024-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140531808","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
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
{"title":"Design and Implementation of a Virtual Assistant by Using 3D Modeling Techniques","authors":"Wen-Ting Lu, Cheng-Hung Huang, Chi-Huang Hung, Yao-Yun Hsiao, Xuan-Wei Liu","doi":"10.1109/ICCE59016.2024.10444182","DOIUrl":"https://doi.org/10.1109/ICCE59016.2024.10444182","url":null,"abstract":"This research is to address the perceived lack of warmth in current voice assistants by integrating them with lively and engaging virtual characters created using 3D modeling techniques. In this study, a virtual character (Vtuber) will be developed using 3D modeling techniques, and Python will be used as the main framework to integrate the control APIs of existing voice assistants in the market. This integration will transform the intangible voice assistant into a tangible virtual assistant, which can be installed on smart devices. The objective is to enhance the human-like qualities of smart devices and provide users with a more relatable and personable virtual assistant experience.","PeriodicalId":518694,"journal":{"name":"2024 IEEE International Conference on Consumer Electronics (ICCE)","volume":"63 1","pages":"1-2"},"PeriodicalIF":0.0,"publicationDate":"2024-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140531833","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
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
{"title":"Combined SCF and SCAN Algorithms for Soft-Output Polar Decoding","authors":"Pin-Geng Zeng, Cheng-Hung Dixson Lin, Pei-Hsuan Chen","doi":"10.1109/ICCE59016.2024.10444390","DOIUrl":"https://doi.org/10.1109/ICCE59016.2024.10444390","url":null,"abstract":"Polar code has lower coding and decoding requirements, linear complexity, and superior channel performance, so it is proven to be close to the Shannon limit for 5G communication. Successive cancellation (SC) is a polar code decoding method, but its performance has a lot of room for optimization, and flip methodology is one of its basic optimizations. Successive Cancellation Flip (SCF) has a good error correction capability. But due to the repetition of the SC decoder during computation, it has a very long latency. Moreover, SCF output is a hard decision, so it is not capable of soft input and soft output decoder. To allow SCF to be used in more decoding environments, the Hybrid SCF/SCAN proposed in this paper can freely select soft output and hard output, and the proposed architecture can reduce the problem of repeatedly computing SC decode.","PeriodicalId":518694,"journal":{"name":"2024 IEEE International Conference on Consumer Electronics (ICCE)","volume":"83 12","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":"140531887","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 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
{"title":"A Monitoring System for Cattle Behavior Detection using YOLO-v8 in IoT Environments","authors":"Kyungchang Jeong, Dong-Ro Kim, Jae-Heyn Ryu, Hyun-Woo Kim, Jinho Cho, Euijong Lee, Ji-Hoon Jeong","doi":"10.1109/ICCE59016.2024.10444145","DOIUrl":"https://doi.org/10.1109/ICCE59016.2024.10444145","url":null,"abstract":"The decline and aging of the rural population have led to the development of smart livestock farming systems that can automatically detect animal behavior. Previous studies have primarily focused on detecting behavior during the day, cattle mounting behavior can occur at any time, both day and night. This study proposes a continuous 24-hour real-time monitoring IoT system for detecting cattle mounting behavior. This system leverages the convolutional neural network-based YOLO-v8 model to discern between typical cattle behavior and mounting actions. The experimental results demonstrate the robust performance of the integrated day and night model, ensuring accurate predictions.","PeriodicalId":518694,"journal":{"name":"2024 IEEE International Conference on Consumer Electronics (ICCE)","volume":"81 2","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":"140531891","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
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
{"title":"Application of a single crystal CVD diamond detector for fast neutron measurement in high dose and mixed radiation fields","authors":"M. Kobayashi, Sachiko Yoshihashi, Kunihiro Ogawa, Mitsutaka Isobe, Tsukasa Aso, Masanori Hara, S. Sangaroon, S. Tamaki, I. Murata, Masaki Osakabe","doi":"10.1109/ICCE59016.2024.10444274","DOIUrl":"https://doi.org/10.1109/ICCE59016.2024.10444274","url":null,"abstract":"This paper presents the method to evaluate the fast neutron energy spectrum under mixed radiation field using the single crystal CVD diamond detector. The pulse shape discrimination based on the shape and width of the pulse was applied to extract the event in which fast neutron hits at a specific depth of the single crystal diamond. Unfolding of the measured energy deposition spectrum induced by extracted pulses could deduce the neutron energy spectrum. An experiment using 14.1 MeV mono-energetic neutron source demonstrated the reliable capability of this method to evaluate the neutron energy spectrum quantitatively.","PeriodicalId":518694,"journal":{"name":"2024 IEEE International Conference on Consumer Electronics (ICCE)","volume":"72 10","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":"140531919","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
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
The LanternPredator: A Machine-learning-based Robot for Controlling the Spread of Invasive Species 灯笼捕食者基于机器学习的控制入侵物种扩散的机器人
2024 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2024-01-06 DOI: 10.1109/ICCE59016.2024.10444478
Wei Gou, David Banyamin, Mark Rezk, Wictor Fedorowait, Daniel Burbano, Sasan Haghani
{"title":"The LanternPredator: A Machine-learning-based Robot for Controlling the Spread of Invasive Species","authors":"Wei Gou, David Banyamin, Mark Rezk, Wictor Fedorowait, Daniel Burbano, Sasan Haghani","doi":"10.1109/ICCE59016.2024.10444478","DOIUrl":"https://doi.org/10.1109/ICCE59016.2024.10444478","url":null,"abstract":"Lanternflies are an invasive pest species that can cause significant economic damage to agriculture by affecting plants and crops and disrupting the balance of natural ecosystems. These insects have a fast reproduction cycle, can withstand high-temperature variations, and have no natural predators in the US, making it very difficult to control their spread. Motivated by this environmental issue, we designed the LanternPredator, an autonomous pest control robot to help control the population growth of lanternflies. The proposed solution integrates machine learning algorithms for detecting the right insect species, an acoustic stimulus to attract the insects to a zap trap, and sonar for autonomous navigation.","PeriodicalId":518694,"journal":{"name":"2024 IEEE International Conference on Consumer Electronics (ICCE)","volume":"65 5","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":"140531823","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 Fast Adaptive Motion Vector Resolution Algorithm for AVS3 用于 AVS3 的快速自适应运动矢量解析算法
2024 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2024-01-06 DOI: 10.1109/ICCE59016.2024.10444166
Yukun Zhang, Guoqing Xiang, Chen Li, Peng Zhang, Hao Lin, Wei Yan
{"title":"A Fast Adaptive Motion Vector Resolution Algorithm for AVS3","authors":"Yukun Zhang, Guoqing Xiang, Chen Li, Peng Zhang, Hao Lin, Wei Yan","doi":"10.1109/ICCE59016.2024.10444166","DOIUrl":"https://doi.org/10.1109/ICCE59016.2024.10444166","url":null,"abstract":"Audio Video Coding (AVS3) is one of the latest generation of video coding standards and has significantly improved the coding performance compared to its predecessor. Its efficiency is achieved by the more flexible block partitioning and new encoding tools. Among them, Adaptive Motion Vector Resolution (AMVR) is one of the tools providing efficient coding for motion vectors. It allows motion vector differences to be coded in five resolutions to reduce the encoding bits. However, it’s costly to select the optimal resolution by exhaustively performing motion estimation and rate-distortion optimization. Therefore, we propose our fast AMVR algorithm to select the most probable resolution by utilizing spatial and temporal information. Experimental results demonstrate our algorithm reduces the overall AMVR encoding time by 41%, 32%, and 53% with coding loss of 0.25%, 0.19%, and 0.27% under the low-delay B, low-delay P, and random access configuration.","PeriodicalId":518694,"journal":{"name":"2024 IEEE International Conference on Consumer Electronics (ICCE)","volume":"66 10","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2024-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140531933","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
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