2021 ITU Kaleidoscope: Connecting Physical and Virtual Worlds (ITU K)最新文献

Optimizing Packet Transmission for Ledger-Based Points Transfer System in LPWAN: Solutions, Evaluation and Standardization LPWAN中基于分类账的点传输系统的优化分组传输:解决方案、评估与标准化

2021 ITU Kaleidoscope: Connecting Physical and Virtual Worlds (ITU K) Pub Date : 2021-12-06 DOI: 10.23919/ITUK53220.2021.9662101

Xin Qi, Keping Yu, Toshio Sato, Kouichi Shibata, Eric Brigham, Takanori Tokutake, Rikiya Eguchi, Yusuke Maruyama, Zheng Wen, Kazuhiko Tamesue, Yutaka Katsuyama, Kazue Sako, Takuro Sato

{"title":"Optimizing Packet Transmission for Ledger-Based Points Transfer System in LPWAN: Solutions, Evaluation and Standardization","authors":"Xin Qi, Keping Yu, Toshio Sato, Kouichi Shibata, Eric Brigham, Takanori Tokutake, Rikiya Eguchi, Yusuke Maruyama, Zheng Wen, Kazuhiko Tamesue, Yutaka Katsuyama, Kazue Sako, Takuro Sato","doi":"10.23919/ITUK53220.2021.9662101","DOIUrl":"https://doi.org/10.23919/ITUK53220.2021.9662101","url":null,"abstract":"Low Power Wide Area Network (LPWAN) is a long-range low-power wireless communication network. Its features, such as wide network coverage and low power consumption of terminals, make it suitable for large-scale deployment of IoT applications. The points transfer system, especially points transfer system in LPWAN, as a typical third-party payment application, is being closely attended by both industry and academia. Recent studies have shown that distributed ledger technology, because ofits characteristics such as high confidentiality, non-tampering, and decentralization, is a good solution to problems such as low-security performance due to centralized storage for a points transfer system. However, the distributed ledger will generate a large amount of data traffic in recording the transactions of network participants, which is a challenge for resource-constrained IoT devices. To address these issues, we propose an optimized packet transmission mechanism for a ledger-based points transfer system in LPWAN. Simulation results show that our proposed mechanism can well reduce the packet transmission ofthe whole system and meet the requirements of LPWAN. Moreover, we update the reader with information about distributed ledger and standardization-related activities in this paper.","PeriodicalId":423554,"journal":{"name":"2021 ITU Kaleidoscope: Connecting Physical and Virtual Worlds (ITU K)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126437873","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

Enhancing the System Model for home Interior Design Using Augmented Reality 利用增强现实技术增强家居室内设计系统模型

2021 ITU Kaleidoscope: Connecting Physical and Virtual Worlds (ITU K) Pub Date : 2021-12-06 DOI: 10.23919/ITUK53220.2021.9662114

D. Kumar, Panchalingam Srinidhy, Ved P. Kafle

{"title":"Enhancing the System Model for home Interior Design Using Augmented Reality","authors":"D. Kumar, Panchalingam Srinidhy, Ved P. Kafle","doi":"10.23919/ITUK53220.2021.9662114","DOIUrl":"https://doi.org/10.23919/ITUK53220.2021.9662114","url":null,"abstract":"Home interior design is often a challenging and time-consuming task due to several mismatches between the selection of interiors in a shop and their composition in a target room. One of these mismatches is a lack of knowledge in relation to the target room and to other interiors when an item is seen in a shop. In this paper, we propose to design and develop a system model by which users can virtually try out various settings of home interiors by using marker-less Augmented Reality (AR). To minimize the latency of the system, we apply the hybrid approach of combining an AR framework with a Simultaneous Localization And Mapping (SLAM) algorithm, where the 3D feature points are updated dynamically, thereby avoiding occlusion when multiple interiors are placed on the real-world view. Dimension scanning is deployed to provide accurate live-size scaling to the real-world environment whereas transformations are handled efficiently by means of a touch gesture recognition. The proposed system model for home interior design can be easily implemented as a mobile application. The performance evaluation through experiments shows that with the SLAM algorithm, the average response time of the proposed system improves by 43%. The proposed system is intended to meet the requirements of virtual and augmented reality services specified by ITU-T Study Group 16.","PeriodicalId":423554,"journal":{"name":"2021 ITU Kaleidoscope: Connecting Physical and Virtual Worlds (ITU K)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124664422","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

Strengthen the Security of Cyberspace with Device-Independent Quantum Randomness 利用与设备无关的量子随机性增强网络空间的安全性

2021 ITU Kaleidoscope: Connecting Physical and Virtual Worlds (ITU K) Pub Date : 2021-12-06 DOI: 10.23919/ITUK53220.2021.9662105

Ming-Han Li, Qiang Zhang

引用次数: 0

Kaleidoscope Academic Conference Proceedings 2021 万花筒学术会议论文集2021

2021 ITU Kaleidoscope: Connecting Physical and Virtual Worlds (ITU K) Pub Date : 2021-12-06 DOI: 10.23919/ITUK53220.2021.9662111

引用次数: 0

Security Vulnerability Expressions: A Technology for Empowering Novice Practitioners Around the World with Security Maturity Capabilities 安全漏洞表达:一种赋予全球新手安全成熟度能力的技术

2021 ITU Kaleidoscope: Connecting Physical and Virtual Worlds (ITU K) Pub Date : 2021-12-06 DOI: 10.23919/ITUK53220.2021.9662106

Jacques R. Francoeur

引用次数: 0

Deviceless: A Serverless Approach for the Internet of Things 无设备:物联网的无服务器方法

2021 ITU Kaleidoscope: Connecting Physical and Virtual Worlds (ITU K) Pub Date : 2021-12-06 DOI: 10.23919/ITUK53220.2021.9662096

Zakaria Benomar, F. Longo, Giovanni Merlino, A. Puliafito

引用次数: 3

Wireless Channel Scenario Recognition Based on Neural Networks 基于神经网络的无线信道场景识别

2021 ITU Kaleidoscope: Connecting Physical and Virtual Worlds (ITU K) Pub Date : 2021-12-06 DOI: 10.23919/ITUK53220.2021.9662102

Xiaojing Xu, Ruimei Li, Hua Rui, Wei Lin, Xiangfeng Liu, Wei Cao

引用次数: 2

Collaborative 5G Multiaccess Computing Security: Threats, Protection Requirements and Scenarios 协同5G多址计算安全:威胁、防护需求与场景

2021 ITU Kaleidoscope: Connecting Physical and Virtual Worlds (ITU K) Pub Date : 2021-12-06 DOI: 10.23919/ITUK53220.2021.9662088

Gang Zhao, Feng Zhang, Le Yu, Hongyang Zhang, Qin Qiu, Sijia Xu

引用次数: 1

Identification of Deadliest Mosquitoes Using Wing Beats Sound Classification on Tiny Embedded System Using Machine Learning and Edge Impulse Platform 基于机器学习和边缘脉冲平台的微型嵌入式系统翼拍声分类识别致命蚊子

2021 ITU Kaleidoscope: Connecting Physical and Virtual Worlds (ITU K) Pub Date : 2021-12-06 DOI: 10.23919/ITUK53220.2021.9662116

Kirankumar Trivedi, H. Shroff

{"title":"Identification of Deadliest Mosquitoes Using Wing Beats Sound Classification on Tiny Embedded System Using Machine Learning and Edge Impulse Platform","authors":"Kirankumar Trivedi, H. Shroff","doi":"10.23919/ITUK53220.2021.9662116","DOIUrl":"https://doi.org/10.23919/ITUK53220.2021.9662116","url":null,"abstract":"Mosquitoes are the deadliest animal on the planet, infecting about 700 million people each year and causing over one million deaths, accounting for 17% of all infectious illnesses worldwide. We are still fighting the three most deadly mosquito species, Anopheles, Aedes, and Culex, 124 years after Sir Ronald Ross made the first pivotal discovery. Mosquitoes are difficult to detect manually since they are small and fly rapidly. The auditory categorization of mosquito wing beats may be used to detect them using machine learning. This article discusses an Arduino Nano BLE 33 Sense-based prototype that collects audio data from mosquito wing beats and utilizes TinyML to automatically classify mosquito species. With 88.3% accuracy, the TinyML system developed by Edge Impulse based on the HumBug project mosquito wing beats dataset recognizes mosquito types. To conduct this research, the frequency of mosquito wing beats was graphically represented as a feature using a spectrogram. Furthermore, live mosquito detection studies using the low-cost Arduino Nano BLE 33 Sense yielded excellent results. During testing, the model had an accuracy of 88.3% and a loss of 0.26. The use of machine learning to solve the challenge of manual mosquito type identification is efficient and has the potential to have a large impact on vector-borne illness management. The model may still be fine-tuned to get more accurate results with reduced latency. In addition, the deployment went as expected.","PeriodicalId":423554,"journal":{"name":"2021 ITU Kaleidoscope: Connecting Physical and Virtual Worlds (ITU K)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133649777","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: 9

Reinforcement Learning for Scheduling and Mimo beam Selection using Caviar Simulations 基于鱼子酱模拟的调度和Mimo波束选择的强化学习

2021 ITU Kaleidoscope: Connecting Physical and Virtual Worlds (ITU K) Pub Date : 2021-12-06 DOI: 10.23919/ITUK53220.2021.9662100

João Borges, Ailton Pinto De Oliveira, Felipe Henrique Bastos E Bastos, Daniel Takashi Ne Do Nascimento Suzuki, Emerson Santos De Oliveira Junior, Lucas Matni Bezerra, C. Nahum, P. Batista, Aldebaro Barreto Da Rocha Klautau Junior

引用次数: 2