Pub Date : 2024-01-06DOI: 10.1109/ICCE59016.2024.10444489
Olivia Duong, Justin Crew, Jason Rea, Sasan Haghani, Maria Striki
Agriculture covers almost 40% of the Earth’s land surface and is essential to human survival. Farmers, however, face numerous challenges to maintain sustainable production. This work introduces an innovative, low cost and comprehensive solution to address some of these challenges. We designed and implemented a multi-functional agricultural drone with monitoring tasks to ensure crops are adequately watered, protected from pests, and monitored for fires. Our results show the potential to improve the effectiveness of small-scale farming operations.
{"title":"A Multi-Functional Drone for Agriculture Maintenance and Monitoring in Small-Scale Farming","authors":"Olivia Duong, Justin Crew, Jason Rea, Sasan Haghani, Maria Striki","doi":"10.1109/ICCE59016.2024.10444489","DOIUrl":"https://doi.org/10.1109/ICCE59016.2024.10444489","url":null,"abstract":"Agriculture covers almost 40% of the Earth’s land surface and is essential to human survival. Farmers, however, face numerous challenges to maintain sustainable production. This work introduces an innovative, low cost and comprehensive solution to address some of these challenges. We designed and implemented a multi-functional agricultural drone with monitoring tasks to ensure crops are adequately watered, protected from pests, and monitored for fires. Our results show the potential to improve the effectiveness of small-scale farming operations.","PeriodicalId":518694,"journal":{"name":"2024 IEEE International Conference on Consumer Electronics (ICCE)","volume":"1 1","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":"140531637","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}
Pub Date : 2024-01-06DOI: 10.1109/ICCE59016.2024.10444404
Risa Takeuchi, Tutomu Murase
In this study, we will verify whether the relay node travel route control method is effective in actual experiments. When an Autonomous Mobile Robot (AMR) requires high-throughput wireless LAN communication during its travel, a system has been proposed to configure an ad hoc network that uses other AMRs (hereafter referred to as nodes) for data relay. Optimal routing control methods have already been proposed to enable relay nodes that relay data to communicate at high throughput. The proposed control method uses a computational model with a simple function, and its effectiveness has been demonstrated. However, the issue is to verify the effectiveness in a real communication environment. Therefore, we conducted experiments on actual equipment and compared the calculated results with the experimental results on actual equipment. The difference between the calculated results and the actual environment was limited to 18 points at most. Therefore, we have shown that the proposed path control method is effective.
{"title":"Communication Quality Measurement with Real Machines of AMR Ad Hoc Network on Optimal Route Movement","authors":"Risa Takeuchi, Tutomu Murase","doi":"10.1109/ICCE59016.2024.10444404","DOIUrl":"https://doi.org/10.1109/ICCE59016.2024.10444404","url":null,"abstract":"In this study, we will verify whether the relay node travel route control method is effective in actual experiments. When an Autonomous Mobile Robot (AMR) requires high-throughput wireless LAN communication during its travel, a system has been proposed to configure an ad hoc network that uses other AMRs (hereafter referred to as nodes) for data relay. Optimal routing control methods have already been proposed to enable relay nodes that relay data to communicate at high throughput. The proposed control method uses a computational model with a simple function, and its effectiveness has been demonstrated. However, the issue is to verify the effectiveness in a real communication environment. Therefore, we conducted experiments on actual equipment and compared the calculated results with the experimental results on actual equipment. The difference between the calculated results and the actual environment was limited to 18 points at most. Therefore, we have shown that the proposed path control method is effective.","PeriodicalId":518694,"journal":{"name":"2024 IEEE International Conference on Consumer Electronics (ICCE)","volume":"110 7","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":"140531643","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}
Pub Date : 2024-01-06DOI: 10.1109/ICCE59016.2024.10444242
You-Lin Tsai, Cheng-Hung Lin, Po-Yung Chou
The current state-of-the-art network models have achieved remarkable performance. However, they often face an issue of having excessively large architectures, making them challenging to deploy on edge devices. In response to this challenge, a groundbreaking solution known as knowledge distillation has been introduced. The concept of knowledge distillation involves transferring information from a complex teacher model to a simpler student model, effectively reducing the model’s complexity. Prior approach has demonstrated promising transfer effects through this technique. Nevertheless, in the field of fine-grained image classification, there has been limited exploration of distillation methods custom-tailored specifically for this domain. In this paper, we focus on knowledge distillation specifically designed for fine-grained image recognition. Notably, this strategy is inspired by the Class Activation Maps (CAM). We first train a complex model and use it generated feature maps with spatial information, which is call hint maps. Furthermore, we propose an adjustment strategy for this hint map, which can control local distribution of information. Referring to it as Controllable Size CAM (CTRLS-CAM). Use it as a guide allowing the student model to effectively learn from the teacher model’s behavior and concentrate on discriminate details. In contrast to conventional distillation models, this strategy proves particularly advantageous for fine-grained recognition, enhancing learning outcomes and enabling the student model to achieve superior performance. In CTRLS-CAM method, we refine the hint maps value distribution, redefining the relative relationships between primary and secondary feature areas. We conducted experiments using the CUB200-2011 dataset, and our results demonstrated a significant accuracy improvement of about 5% compared to the original non-distilled student model. Moreover, our approach achieved a 1.23% enhancement over traditional knowledge distillation methods.
{"title":"Improve Fine-grained Visual Classification Accuracy by Controllable Location Knowledge Distillation","authors":"You-Lin Tsai, Cheng-Hung Lin, Po-Yung Chou","doi":"10.1109/ICCE59016.2024.10444242","DOIUrl":"https://doi.org/10.1109/ICCE59016.2024.10444242","url":null,"abstract":"The current state-of-the-art network models have achieved remarkable performance. However, they often face an issue of having excessively large architectures, making them challenging to deploy on edge devices. In response to this challenge, a groundbreaking solution known as knowledge distillation has been introduced. The concept of knowledge distillation involves transferring information from a complex teacher model to a simpler student model, effectively reducing the model’s complexity. Prior approach has demonstrated promising transfer effects through this technique. Nevertheless, in the field of fine-grained image classification, there has been limited exploration of distillation methods custom-tailored specifically for this domain. In this paper, we focus on knowledge distillation specifically designed for fine-grained image recognition. Notably, this strategy is inspired by the Class Activation Maps (CAM). We first train a complex model and use it generated feature maps with spatial information, which is call hint maps. Furthermore, we propose an adjustment strategy for this hint map, which can control local distribution of information. Referring to it as Controllable Size CAM (CTRLS-CAM). Use it as a guide allowing the student model to effectively learn from the teacher model’s behavior and concentrate on discriminate details. In contrast to conventional distillation models, this strategy proves particularly advantageous for fine-grained recognition, enhancing learning outcomes and enabling the student model to achieve superior performance. In CTRLS-CAM method, we refine the hint maps value distribution, redefining the relative relationships between primary and secondary feature areas. We conducted experiments using the CUB200-2011 dataset, and our results demonstrated a significant accuracy improvement of about 5% compared to the original non-distilled student model. Moreover, our approach achieved a 1.23% enhancement over traditional knowledge distillation methods.","PeriodicalId":518694,"journal":{"name":"2024 IEEE International Conference on Consumer Electronics (ICCE)","volume":"96 11","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":"140531648","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}
The color electronic paper (CEP) can be realized by printing color inks on a black/white electrophoretic display. However, the overall lightness will be significantly reduced. A good solution to this issue is to equip it with a front light panel to enhance the overall brightness and colorfulness. This paper presents a color reproduction system for this new CEP. Comprehensive approaches to color gamut estimation, best front light selection, and gamut mapping for various front light settings are presented.
{"title":"Color Electronic Paper with Front Light","authors":"Wen-Chung Kao, Yi-Cheng Hsu, Kai-Dun Hong, Ren-Xiang Ying","doi":"10.1109/ICCE59016.2024.10444423","DOIUrl":"https://doi.org/10.1109/ICCE59016.2024.10444423","url":null,"abstract":"The color electronic paper (CEP) can be realized by printing color inks on a black/white electrophoretic display. However, the overall lightness will be significantly reduced. A good solution to this issue is to equip it with a front light panel to enhance the overall brightness and colorfulness. This paper presents a color reproduction system for this new CEP. Comprehensive approaches to color gamut estimation, best front light selection, and gamut mapping for various front light settings are presented.","PeriodicalId":518694,"journal":{"name":"2024 IEEE International Conference on Consumer Electronics (ICCE)","volume":"25 3","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":"140531779","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}
Pub Date : 2024-01-06DOI: 10.1109/ICCE59016.2024.10444353
Jonggyu Oh, Kiyoung Kwak, Kangmin Lee
In this paper, timing offset (TO) independent physical sidelink control channel (PSCCH) power and orthogonal cover code (OCC) index detection method for 5G new radio (NR) vehicle-to-everything (V2X) sidelink (SL) system is proposed. By employing normalized differential correlation and phase correction, the presence of PSCCH and transmitted OCC index detection are achieved regardless of TO.
{"title":"Timing offset independent PSCCH detection method for 5G-NR V2X SL systems","authors":"Jonggyu Oh, Kiyoung Kwak, Kangmin Lee","doi":"10.1109/ICCE59016.2024.10444353","DOIUrl":"https://doi.org/10.1109/ICCE59016.2024.10444353","url":null,"abstract":"In this paper, timing offset (TO) independent physical sidelink control channel (PSCCH) power and orthogonal cover code (OCC) index detection method for 5G new radio (NR) vehicle-to-everything (V2X) sidelink (SL) system is proposed. By employing normalized differential correlation and phase correction, the presence of PSCCH and transmitted OCC index detection are achieved regardless of TO.","PeriodicalId":518694,"journal":{"name":"2024 IEEE International Conference on Consumer Electronics (ICCE)","volume":"16 1","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":"140531787","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}
Pub Date : 2024-01-06DOI: 10.1109/ICCE59016.2024.10444487
F. Gelana, Abraham Campbell
Current advancements in Artificial Intelligence (AI), especially in the field of Generative AI where Large Language Models such as GPT4, Bard, LLaMA, that are trained on large sum of human knowledge (Internet) open a great opportunity to revolutionize education. One way that AI and Augmented Reality (AR) can be used in education is to create personalized learning experiences for students, especially for STEM subjects. With the possibility of capable AR hardware that has powerful computing chips such as Apple’s vision, students can have a more immersive and interactive learning experience. Additionally, the rise of open-source language models such as LLaMa can help democratize access to AI and AR technologies for educational purposes.
当前，人工智能（AI）取得了长足进步，尤其是在生成式人工智能领域，GPT4、Bard、LLaMA 等大型语言模型在大量人类知识（互联网）的基础上进行训练，为教育领域的变革提供了巨大机遇。将人工智能和增强现实（AR）应用于教育的一种方式是为学生创造个性化的学习体验，尤其是 STEM 学科。有了像苹果公司的 vision 这样拥有强大计算芯片的 AR 硬件，学生就能获得更加身临其境的互动学习体验。此外，LLaMa 等开源语言模型的兴起也有助于将人工智能和 AR 技术用于教育目的。
{"title":"The Possibilities of AI and Augmented Reality in Education","authors":"F. Gelana, Abraham Campbell","doi":"10.1109/ICCE59016.2024.10444487","DOIUrl":"https://doi.org/10.1109/ICCE59016.2024.10444487","url":null,"abstract":"Current advancements in Artificial Intelligence (AI), especially in the field of Generative AI where Large Language Models such as GPT4, Bard, LLaMA, that are trained on large sum of human knowledge (Internet) open a great opportunity to revolutionize education. One way that AI and Augmented Reality (AR) can be used in education is to create personalized learning experiences for students, especially for STEM subjects. With the possibility of capable AR hardware that has powerful computing chips such as Apple’s vision, students can have a more immersive and interactive learning experience. Additionally, the rise of open-source language models such as LLaMa can help democratize access to AI and AR technologies for educational purposes.","PeriodicalId":518694,"journal":{"name":"2024 IEEE International Conference on Consumer Electronics (ICCE)","volume":"12 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":"140531795","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}
Pub Date : 2024-01-06DOI: 10.1109/ICCE59016.2024.10444294
Antonio Nocera, Gianluca Ciattaglia, Michela Raimondi, Linda Senigagliesi, E. Gambi
Mobile phone usage represents a source of distraction for pedestrians, who are losing awareness of external hazards given by vehicles and environment. Radars could be a solution to monitor continuously and privately the behaviours of pedestrians in the main public spaces in order to find solutions based on the way pedestrians walk, their habits and their walking speed. Being able to identify a pedestrian with the head down on the phone, usually called “smartphone zombie’’, is crucial to intervene to make the road safer and discourage the behaviour. We study the feasibility of identifying the walking pattern of “smartphone zombie’’ against a control pedestrian walking normally exploiting an automotive frequency modulated continuous wave radar working at 77 GHz. By applying principal component analysis and machine learning we obtain a classification accuracy of 92.4% of smartphone zombies against normal walk and 87.6% when adding a third class of fast walkers.
{"title":"Identification of Smartphone Zombies and Normal Pedestrians Using FMCW Radar and Machine Learning","authors":"Antonio Nocera, Gianluca Ciattaglia, Michela Raimondi, Linda Senigagliesi, E. Gambi","doi":"10.1109/ICCE59016.2024.10444294","DOIUrl":"https://doi.org/10.1109/ICCE59016.2024.10444294","url":null,"abstract":"Mobile phone usage represents a source of distraction for pedestrians, who are losing awareness of external hazards given by vehicles and environment. Radars could be a solution to monitor continuously and privately the behaviours of pedestrians in the main public spaces in order to find solutions based on the way pedestrians walk, their habits and their walking speed. Being able to identify a pedestrian with the head down on the phone, usually called “smartphone zombie’’, is crucial to intervene to make the road safer and discourage the behaviour. We study the feasibility of identifying the walking pattern of “smartphone zombie’’ against a control pedestrian walking normally exploiting an automotive frequency modulated continuous wave radar working at 77 GHz. By applying principal component analysis and machine learning we obtain a classification accuracy of 92.4% of smartphone zombies against normal walk and 87.6% when adding a third class of fast walkers.","PeriodicalId":518694,"journal":{"name":"2024 IEEE International Conference on Consumer Electronics (ICCE)","volume":"11 6","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":"140531798","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}
Pub Date : 2024-01-06DOI: 10.1109/ICCE59016.2024.10444311
Layth Hamad, Muhammad Asif Khan, H. Menouar, F. Filali, Amr Mohamed
This paper presents Haris, an advanced autonomous mobile robot system for tracking the location of vehicles in crowded car parks using license plate recognition. The system employs simultaneous localization and mapping (SLAM) for autonomous navigation and precise mapping of the parking area, eliminating the need for GPS dependency. In addition, the system utilizes a sophisticated framework using computer vision techniques for object detection and automatic license plate recognition (ALPR) for reading and associating license plate numbers with location data. This information is subsequently synchronized with a back-end service and made accessible to users via a user-friendly mobile app, offering effortless vehicle location and alleviating congestion within the parking facility. The proposed system has the potential to improve the management of short-term large outdoor parking areas in crowded places such as sports stadiums. The demo of the robot can be found on https://youtu.be/ZkTCM35fxa0?si = QjggJuN7M1o3oifx.
本文介绍的 Haris 是一种先进的自主移动机器人系统，可利用车牌识别功能在拥挤的停车场跟踪车辆位置。该系统采用同步定位和映射（SLAM）技术进行自主导航和精确绘制停车区域地图，无需依赖 GPS。此外，该系统还采用了一个复杂的框架，利用计算机视觉技术进行物体检测，并利用车牌自动识别技术（ALPR）读取车牌号码并将其与位置数据关联起来。这些信息随后会与后端服务同步，并通过用户友好型移动应用程序提供给用户，从而轻松实现车辆定位，缓解停车设施内的拥堵状况。该系统有望改善体育场馆等人群密集场所的短期大型室外停车场的管理。该机器人的演示可在 https://youtu.be/ZkTCM35fxa0?si = QjggJuN7M1o3oifx 上找到。
{"title":"Haris: an Advanced Autonomous Mobile Robot for Smart Parking Assistance","authors":"Layth Hamad, Muhammad Asif Khan, H. Menouar, F. Filali, Amr Mohamed","doi":"10.1109/ICCE59016.2024.10444311","DOIUrl":"https://doi.org/10.1109/ICCE59016.2024.10444311","url":null,"abstract":"This paper presents Haris, an advanced autonomous mobile robot system for tracking the location of vehicles in crowded car parks using license plate recognition. The system employs simultaneous localization and mapping (SLAM) for autonomous navigation and precise mapping of the parking area, eliminating the need for GPS dependency. In addition, the system utilizes a sophisticated framework using computer vision techniques for object detection and automatic license plate recognition (ALPR) for reading and associating license plate numbers with location data. This information is subsequently synchronized with a back-end service and made accessible to users via a user-friendly mobile app, offering effortless vehicle location and alleviating congestion within the parking facility. The proposed system has the potential to improve the management of short-term large outdoor parking areas in crowded places such as sports stadiums. The demo of the robot can be found on https://youtu.be/ZkTCM35fxa0?si = QjggJuN7M1o3oifx.","PeriodicalId":518694,"journal":{"name":"2024 IEEE International Conference on Consumer Electronics (ICCE)","volume":"71 11","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":"140531836","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}
Dementia is characterized by the progressive degeneration of the brain, resulting in cognitive impairment and disruptions in neurological functioning. Various factors, including traumatic events, stress-related conditions, or post-stroke brain damage, contribute to its onset. While dementia lacks a cure, there are reversible interventions to manage its effects, enabling individuals to age successfully with cognitive support from assistive technologies like ChatGPT. Recent study highlighted the benefits of ChatGPT in aiding memory acquisition for individuals experiencing cognitive decline, which can be applied in providing companionship to older adults dealing with dementia. As the innovative application of artificial intelligence (AI), ChatGPT in the form of medical chatbot, can address feelings of loneliness, and foster essential social interaction. In summary, ChatGPT's use offers cognitive support and enhances the overall well-being of those facing cognitive decline.
{"title":"ChatGPT: A Companion for Dementia Care","authors":"Gahangir Hossain, Znaida Simpson Pomare, Gayle Prybutok","doi":"10.1109/ICCE59016.2024.10444253","DOIUrl":"https://doi.org/10.1109/ICCE59016.2024.10444253","url":null,"abstract":"Dementia is characterized by the progressive degeneration of the brain, resulting in cognitive impairment and disruptions in neurological functioning. Various factors, including traumatic events, stress-related conditions, or post-stroke brain damage, contribute to its onset. While dementia lacks a cure, there are reversible interventions to manage its effects, enabling individuals to age successfully with cognitive support from assistive technologies like ChatGPT. Recent study highlighted the benefits of ChatGPT in aiding memory acquisition for individuals experiencing cognitive decline, which can be applied in providing companionship to older adults dealing with dementia. As the innovative application of artificial intelligence (AI), ChatGPT in the form of medical chatbot, can address feelings of loneliness, and foster essential social interaction. In summary, ChatGPT's use offers cognitive support and enhances the overall well-being of those facing cognitive decline.","PeriodicalId":518694,"journal":{"name":"2024 IEEE International Conference on Consumer Electronics (ICCE)","volume":"86 11","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":"140531883","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}
Pub Date : 2024-01-06DOI: 10.1109/ICCE59016.2024.10444232
Tutomu Murase, Yukinobu Fukushima, Celimuge Wu, Yusheng Ji
This paper outlines a Multi-stage Information Processing system and a VM migration method to improve the performance of the system. To process applications that require responsiveness and accuracy at the same time, such as sensor data processing in automated driving, a Multi-stage Information Processing system has been proposed in which the edge computer and the data center computer process information simultaneously to obtain responsiveness from the edge computer and accuracy from the data center. This paper describes the system and explains the VM migration method to obtain highly accurate responsiveness in such a system.
{"title":"Multi-stage Information Processing Systems with VM Migration for Maximum Accuracy","authors":"Tutomu Murase, Yukinobu Fukushima, Celimuge Wu, Yusheng Ji","doi":"10.1109/ICCE59016.2024.10444232","DOIUrl":"https://doi.org/10.1109/ICCE59016.2024.10444232","url":null,"abstract":"This paper outlines a Multi-stage Information Processing system and a VM migration method to improve the performance of the system. To process applications that require responsiveness and accuracy at the same time, such as sensor data processing in automated driving, a Multi-stage Information Processing system has been proposed in which the edge computer and the data center computer process information simultaneously to obtain responsiveness from the edge computer and accuracy from the data center. This paper describes the system and explains the VM migration method to obtain highly accurate responsiveness in such a system.","PeriodicalId":518694,"journal":{"name":"2024 IEEE International Conference on Consumer Electronics (ICCE)","volume":"78 5","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":"140531898","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}
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