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VM Migration that Assures and Maximizes Accuracy in Multi-stage Information Processing Systems 确保并最大限度提高多级信息处理系统准确性的虚拟机迁移
2024 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2024-01-06 DOI: 10.1109/ICCE59016.2024.10444362
Kazutoshi Nakane, Yukinobu Fukushima, Celimuge Wu, Yusheng Ji, Tutomu Murase
{"title":"VM Migration that Assures and Maximizes Accuracy in Multi-stage Information Processing Systems","authors":"Kazutoshi Nakane, Yukinobu Fukushima, Celimuge Wu, Yusheng Ji, Tutomu Murase","doi":"10.1109/ICCE59016.2024.10444362","DOIUrl":"https://doi.org/10.1109/ICCE59016.2024.10444362","url":null,"abstract":"In this paper, we propose a Virtual Machine (VM) migration method that maximizes the total accuracy in a multistage information processing system, under the constraint that the given ratio of tasks satisfy the constraint of improving the given level of accuracy (i.e., progress in information processing) within a required response time. Conventional methods only aim to improve the total accuracy and do not consider achieving the given level of accuracy for each task. The proposed method aims to improve the ratio of tasks that can satisfy the given level of accuracy by balancing the load among edge servers as much as possible. In order to confirm the effectiveness of the proposed method, we set the given level of task accuracy and evaluate the total accuracy by varying the number of VMs present in the system. The evaluation results show that the proposed method improves the number of VMs satisfying the given level of accuracy by 120% and the total accuracy by up to approximately 13% compared to the case without VM migration.","PeriodicalId":518694,"journal":{"name":"2024 IEEE International Conference on Consumer Electronics (ICCE)","volume":"66 2","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":"140531821","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
Generative Strategy for Low and Normal Light Image Pairs with Enhanced Statistical Fidelity 增强统计保真度的弱光和正常光图像对生成策略
2024 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2024-01-06 DOI: 10.1109/ICCE59016.2024.10444437
Cheuk-Yiu Chan, Wan-Chi Siu, Yuk-Hee Chan, H. A. Chan
{"title":"Generative Strategy for Low and Normal Light Image Pairs with Enhanced Statistical Fidelity","authors":"Cheuk-Yiu Chan, Wan-Chi Siu, Yuk-Hee Chan, H. A. Chan","doi":"10.1109/ICCE59016.2024.10444437","DOIUrl":"https://doi.org/10.1109/ICCE59016.2024.10444437","url":null,"abstract":"Low light image enhancement remains challenging due to limited availability of real low/normal light image pairs for training. Simple image simulation techniques used for data augmentation fail to accurately model noise and distortions present in real low light photos. In this work, we propose N2LDiff, a novel generative model leveraging diffusion processes to synthesize realistic low light images from normal light counterparts. Our model leverages the noise modeling capabilities of diffusion processes to generate low light images with accurate noise, blurring, and color distortions. We make the following key contributions: (1) We develop a novel N2LDiff model that can generate varied low light images from the same normal light input via diffusion processes. (2) We introduce a new benchmark for low light image synthesis using existing datasets. (3) Leveraging N2LDiff, we construct a large-scale low light dataset. Our generated data will facilitate training and evaluation of deep learning models for low light enhancement tasks.","PeriodicalId":518694,"journal":{"name":"2024 IEEE International Conference on Consumer Electronics (ICCE)","volume":"70 10","pages":"1-3"},"PeriodicalIF":0.0,"publicationDate":"2024-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140531840","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
Practical Implementation of Upgraded Low-Cost Sensors in Everyday Home Devices 在日常家用设备中实际应用升级版低成本传感器
2024 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2024-01-06 DOI: 10.1109/ICCE59016.2024.10444284
Seokho Ahn, Hyungjin Kim, Euijong Lee, Young-Duk Seo
{"title":"Practical Implementation of Upgraded Low-Cost Sensors in Everyday Home Devices","authors":"Seokho Ahn, Hyungjin Kim, Euijong Lee, Young-Duk Seo","doi":"10.1109/ICCE59016.2024.10444284","DOIUrl":"https://doi.org/10.1109/ICCE59016.2024.10444284","url":null,"abstract":"The crucial part of IoT-controlled devices is the collection of accurate data. However, manufacturers often use low-cost sensors to make everyday home devices affordable, which can compromise accuracy. Therefore, we introduce a novel framework designed to improve the calibration performance of low-cost sensors incorporated into these devices. Applying this framework to home appliances makes it possible to calibrate low-cost sensors with inference speeds comparable to linear models while achieving accuracies similar to those of deep learning models. Specifically, the framework offers a selection of three different model variants, each considering factors such as implementation difficulty, calibration accuracy, or inference speed. Experimental findings indicate that our framework exhibits superior performance in both general-purpose and embedded hardware, highlighting its potential applicability to everyday home devices such as IoT-controlled appliances.","PeriodicalId":518694,"journal":{"name":"2024 IEEE International Conference on Consumer Electronics (ICCE)","volume":"82 11","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":"140531889","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
An Efficient Data Gathering Method in UAV-Collaborative Sensing 无人机协作传感中的高效数据采集方法
2024 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2024-01-06 DOI: 10.1109/ICCE59016.2024.10444310
Akimitsu Kanzaki, Taisei Ito
{"title":"An Efficient Data Gathering Method in UAV-Collaborative Sensing","authors":"Akimitsu Kanzaki, Taisei Ito","doi":"10.1109/ICCE59016.2024.10444310","DOIUrl":"https://doi.org/10.1109/ICCE59016.2024.10444310","url":null,"abstract":"In this paper, we propose a method that achieves efficient data gathering in UAV-collaborative sensing which monitors a target region using multiple autonomous UAVs (Unmanned Aerial Vehicles) owned by different organizations and individuals. Our proposed method defines a metric that evaluates the frequency of exploration for each location based on our previous method [7]. By determining the moving path of each UAV using this metric, our method achieves an efficient exploration of a target region. In addition, our method achieves data gathering to the base stations with a shorter delay by introducing i) periodical returning to the base stations and ii) data sharing between UAVs and base stations via direct wireless communication.","PeriodicalId":518694,"journal":{"name":"2024 IEEE International Conference on Consumer Electronics (ICCE)","volume":"69 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":"140531960","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
HLS Implementation of a Building Cube Stencil Computation Framework for an FPGA Accelerator 为 FPGA 加速器实现 Building Cube Stencil 计算框架的 HLS 实现
2024 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2024-01-06 DOI: 10.1109/ICCE59016.2024.10444277
Daiki Furukawa, Taito Manabe, Yuichiro Shibata, Tomohiro Ueno, Kentaro Sano
{"title":"HLS Implementation of a Building Cube Stencil Computation Framework for an FPGA Accelerator","authors":"Daiki Furukawa, Taito Manabe, Yuichiro Shibata, Tomohiro Ueno, Kentaro Sano","doi":"10.1109/ICCE59016.2024.10444277","DOIUrl":"https://doi.org/10.1109/ICCE59016.2024.10444277","url":null,"abstract":"FPGAs are promising energy-efficient accelerators for computing-intensive applications such as electromagnetic field simulations, which are also important tasks for consumer product design. Especially, stencil computation, which is a commonly-used computing pattern for scientific and engineering simulations, is known to have a high degree of affinity with FPGAs. In practical simulations, data reduction methods, such as the building cube method (BCM), are often utilized to balance computation accuracy and speed. However, such techniques tend to introduce irregular memory access patterns, making it a tough task for application programmers to implement efficient memory access hardware units in FPGAs. In this paper, we propose a design framework for stencil computation with BCM, enabling application programmers to focus on algorithm implementation without being aware of memory access optimization. We implement the framework on an Intel FPGA PAC D5005 platform, to evaluate its effectiveness in terms of resource utilization, execution time, and throughput. As for resource utilization, it was confirmed that the area overhead of the proposed BCM framework is small enough, leaving sufficient resource space for user applications. The performance evaluation results revealed that the measured throughput of the BCM framework deteriorated by more than 90% compared to non-BCM execution due to irregular memory access patterns. However, since the number of cells to be computed in BCM is significantly reduced, the final computation speed was improved by up to 28 times, indicating that the reduction in the throughput is acceptable.","PeriodicalId":518694,"journal":{"name":"2024 IEEE International Conference on Consumer Electronics (ICCE)","volume":"3 4","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":"140531632","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
Enhancing RF Fingerprinting for Indoor Positioning Systems Using Data Augmentation 利用数据扩增增强室内定位系统的射频指纹识别功能
2024 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2024-01-06 DOI: 10.1109/ICCE59016.2024.10444463
Suhardi Azliy Junoh, Shawana Jamil, Jae-Young Pyun
{"title":"Enhancing RF Fingerprinting for Indoor Positioning Systems Using Data Augmentation","authors":"Suhardi Azliy Junoh, Shawana Jamil, Jae-Young Pyun","doi":"10.1109/ICCE59016.2024.10444463","DOIUrl":"https://doi.org/10.1109/ICCE59016.2024.10444463","url":null,"abstract":"Indoor Positioning Systems (IPS) have recently emerged as a crucial technology in the Internet of Things (IoT), with widespread applications in smart cities and homes. Radio frequency-based fingerprinting, enabling location estimation through signal observations, requires manual surveys for constructing location maps. This process involves annotating radio signatures with corresponding locations, rendering it time-consuming and labor-intensive. To address this challenge, our paper proposes a data augmentation method that leverages a conditional generative adversarial network with LSTM and CNN. This approach effectively captures patterns in the training data, generating synthetic data that aligns with the distribution. Experiments in a real scenario demonstrate an average localization error of 1.966 and 1.218 m for Wi-Fi and Bluetooth low energy (BLE), surpassing traditional fingerprinting and comparable to the baseline data augmentation methods.","PeriodicalId":518694,"journal":{"name":"2024 IEEE International Conference on Consumer Electronics (ICCE)","volume":"20 7","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":"140531783","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 Gesture Control System based on Augmented Reality and Eye Tracking Technologies for a 3D-Printed Prosthetic Arm 基于增强现实和眼球跟踪技术的手势控制系统，用于 3D 打印假肢
2024 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2024-01-06 DOI: 10.1109/ICCE59016.2024.10444445
Ming-Che Chen, Jia-Xiang Chen, Ren-Guei Hsu, Jian-Ping Su, Wan-Jung Chang, Yang-Kun Ou
{"title":"A Gesture Control System based on Augmented Reality and Eye Tracking Technologies for a 3D-Printed Prosthetic Arm","authors":"Ming-Che Chen, Jia-Xiang Chen, Ren-Guei Hsu, Jian-Ping Su, Wan-Jung Chang, Yang-Kun Ou","doi":"10.1109/ICCE59016.2024.10444445","DOIUrl":"https://doi.org/10.1109/ICCE59016.2024.10444445","url":null,"abstract":"This paper introduces a gesture control system that integrates augmented reality (AR) and eye-tracking technologies for the operation of a 3D-printed prosthetic arm. Within this framework, users wear AR smart glasses equipped with eye-tracking and near-eye display modules. The system recognizes the user's gaze on a variety of everyday gesture AR representations (including open palm, grip, pinch, and point) shown on the near-eye display module. Subsequently, it commands the 3D-printed prosthetic arm to emulate the observed gestures. This approach enhances the synergy between the prosthetic and the natural arm, offering individuals with a single-arm amputation a more organic dual-handed experience in their daily activities.","PeriodicalId":518694,"journal":{"name":"2024 IEEE International Conference on Consumer Electronics (ICCE)","volume":"20 4","pages":"1-3"},"PeriodicalIF":0.0,"publicationDate":"2024-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140531784","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
Person identification using Wi-Fi CSI focusing on door opening and closing motions based on per-channel similarity estimation 基于每信道相似性估计，使用 Wi-Fi CSI 进行人员识别，重点关注开门和关门动作
2024 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2024-01-06 DOI: 10.1109/ICCE59016.2024.10444203
Kazuki Iwase, Hiroaki Morino
{"title":"Person identification using Wi-Fi CSI focusing on door opening and closing motions based on per-channel similarity estimation","authors":"Kazuki Iwase, Hiroaki Morino","doi":"10.1109/ICCE59016.2024.10444203","DOIUrl":"https://doi.org/10.1109/ICCE59016.2024.10444203","url":null,"abstract":"Identification of persons entering a room or building will be beneficial to provide personalized smart home services. Conventional identification scheme based on image analysis involve additional actions to persons for identification and also there could be privacy concerns with unintended persons appearing in images. In this study, we propose a scheme to identify an individual from door opening and closing motions by analyzing Wi-Fi Channel State Information (CSI) time series. The motions to be analyzed appear in our daily lives and the scheme does not pose additional actions to persons. Also, privacy concerns will be negligible when analyzing WiFi signal. The proposed scheme estimates similarity between obtained CSI data of the target person and that in the reference data obtained in advance based on cross correlation and dynamic time warping and adopts voting principle per channel basis. Through evaluation experiments with 10 subjects, the proposed scheme achieves average F value of 0.94.","PeriodicalId":518694,"journal":{"name":"2024 IEEE International Conference on Consumer Electronics (ICCE)","volume":"65 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":"140531824","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
Deep Learning-Based Facial Emotion Detection in the Metaverse 元宇宙中基于深度学习的面部情绪检测
2024 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2024-01-06 DOI: 10.1109/ICCE59016.2024.10444217
Brij B. Gupta, Akshat Gaurav, Kwok Tai Chui, Varsha Arya
{"title":"Deep Learning-Based Facial Emotion Detection in the Metaverse","authors":"Brij B. Gupta, Akshat Gaurav, Kwok Tai Chui, Varsha Arya","doi":"10.1109/ICCE59016.2024.10444217","DOIUrl":"https://doi.org/10.1109/ICCE59016.2024.10444217","url":null,"abstract":"The Metaverse is currently becoming a massive technology platform and is considered to be the next significant development in global technology and business landscapes. The metaverse is touted as an exciting new technology amalgamation facilitating next-level immersive experiences for users. It merges physical and virtual reality and provides channels for multisensory interactions and immersions in a variety of environments. As the metaverse is still in its early stages, there is very little research in the field of emotion recognition in the metaverse. In this context, we propsed a deep CNN-based emotion detection model for the metaverse. Our proposed approach efficiently detects the emotions of users in the metaverse.","PeriodicalId":518694,"journal":{"name":"2024 IEEE International Conference on Consumer Electronics (ICCE)","volume":"70 4","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":"140531927","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 Stretchable Conductive Fiber for Wearable Strain Sensor Application 应用于可穿戴式应变传感器的可拉伸导电纤维
2024 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2024-01-06 DOI: 10.1109/ICCE59016.2024.10444133
Ying-Nien Chou, Lien-Chiang Hung, Ming-Che Chen
{"title":"A Stretchable Conductive Fiber for Wearable Strain Sensor Application","authors":"Ying-Nien Chou, Lien-Chiang Hung, Ming-Che Chen","doi":"10.1109/ICCE59016.2024.10444133","DOIUrl":"https://doi.org/10.1109/ICCE59016.2024.10444133","url":null,"abstract":"Wearable tech is rapidly growth, with applications ranging from personal health tracking to soft robotics and human movement detection. For textiles to harness electronic capabilities, it’s essential to dive deep into fiber-based electronics. In our research, we introduce an efficient method to create a stretchable silver/polyurethane fiber sensor suited for wearable devices. We’ve also put forth a theory on the reversible conductivity of the silver NPs/PU elastomer. Remarkably, the fiber sensors we developed boast low initial electrical resistance (5 Ω/cm), broad strain detection capabilities, exceptional sensitivity, and durability through numerous stretch-release cycles. We employed tools like Keithley, SEM, and TGA to confirm the adherence of silver particles to the fiber’s surface. Our findings are pivotal for the future evolution of wearable technologies.","PeriodicalId":518694,"journal":{"name":"2024 IEEE International Conference on Consumer Electronics (ICCE)","volume":"62 9","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":"140531974","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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