2021 7th IEEE International Conference on Network Intelligence and Digital Content (IC-NIDC)最新文献

Security Crypto Display that Information Disappears and Appears According to a Certain Temperature and Time 安全密码显示，信息消失，并根据一定的温度和时间出现

2021 7th IEEE International Conference on Network Intelligence and Digital Content (IC-NIDC) Pub Date : 2021-11-17 DOI: 10.1109/IC-NIDC54101.2021.9660404

Cheong-Min Shin, Gi-Eun Kim, Kyeong-Gyu Min, Yanqiu Chen, Eugene J Choi, Chang‐Jae Yu, Jae-Hoon Kim

{"title":"Security Crypto Display that Information Disappears and Appears According to a Certain Temperature and Time","authors":"Cheong-Min Shin, Gi-Eun Kim, Kyeong-Gyu Min, Yanqiu Chen, Eugene J Choi, Chang‐Jae Yu, Jae-Hoon Kim","doi":"10.1109/IC-NIDC54101.2021.9660404","DOIUrl":"https://doi.org/10.1109/IC-NIDC54101.2021.9660404","url":null,"abstract":"Security displays will be one of the important technologies of the future. So we were able to find a way during the study of displays using polarization. Emission of circularly polarized (CP) light has attracted great attention for improving device performance. The degree of CP emission is defined by the dissymmetric factor, $(q=2(I_{mathrm{L}}-I_{mathrm{R}})/(I_{mathrm{L}}+I_{mathrm{R}})$, where $I_{mathrm{L}}$ and $I_{mathrm{R}}$ denote the intensities of left-handed and right-handed CP light, respectively. Especially, high degree of CP emission was achieved in a helical configuration of mesogenic luminophore by doping a chiral agent [15] or by rubbing two different surfaces [16]. In this work, we investigate the dissymmetric factor of the intrinsic chiral luminophore as a function of elapsed time after sample fabrication. The fluorene moiety containing chirality was used for an emitting layer (EML) and annealed thermally above its mesogenic temperature after coating on the rubbed alignment layer. The EML constructed the twisted structure without any treatment after cooling down at room temperature. The twisted EML generates the CP light, whose dissymmetric factor is governed by helical twisting power (HTP) and thickness of the EML. Interestingly, the dissymmetric factor (gPL) of the photoluminescence (PL) was gradually degraded according to time elapsed after sample preparation. These degradation behaviors were observed in both rapidly and slowly cooling processes. Such phenomenon is expected to be originated from weaker HTP of the intrinsic chirality than the specific chiral dopant such as S(R)05011 [15]. Restoring process of the dissymmetric factor was also investigated. Therefore, using this phenomenon, it can be applied to military security or various security displays.","PeriodicalId":264468,"journal":{"name":"2021 7th IEEE International Conference on Network Intelligence and Digital Content (IC-NIDC)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122288117","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

Research of Epidemic Dynamics Model Considering Individual Movements and Urban Areas 考虑个体运动和城市区域的流行病动力学模型研究

2021 7th IEEE International Conference on Network Intelligence and Digital Content (IC-NIDC) Pub Date : 2021-11-17 DOI: 10.1109/IC-NIDC54101.2021.9660546

Boxu Pan, Jie Yang, Yu Wang, Zehao Wang, Yuangeng Zhu, Zhiqiang Zhang

引用次数: 0

The In-Robot Network Structure of Humanoid Robot for Burst Traffic Data Situations 突发交通数据情况下仿人机器人的机器人内网络结构

2021 7th IEEE International Conference on Network Intelligence and Digital Content (IC-NIDC) Pub Date : 2021-11-17 DOI: 10.1109/IC-NIDC54101.2021.9660596

T. Tan, Chengyu Cui, Sungkwon Park

{"title":"The In-Robot Network Structure of Humanoid Robot for Burst Traffic Data Situations","authors":"T. Tan, Chengyu Cui, Sungkwon Park","doi":"10.1109/IC-NIDC54101.2021.9660596","DOIUrl":"https://doi.org/10.1109/IC-NIDC54101.2021.9660596","url":null,"abstract":"According to the basic concept of the In-Robot Network(IRN), an IRN structure that can handle burst data is proposed. According to the existing research on humanoid robots, it can be seen that the current humanoid robots have a high degree of freedom of joints and carry various sensors at the same time to form a huge IRN network. It can be known from existing research that most of the current humanoid robots operate according to preset scenarios and plans. If a special situation occurs, the current IRN structure of a humanoid robot cannot handle a large amount of burst data in a special situation. Therefore, based on the in-vehicle network (IVN) and time-sensitive network (TSN) concepts, an IRN structure that can handle the data generated in the above-mentioned emergencies is proposed in this article. In this IRN structure, the Domain Control Unit (DCU) is used to detect the status of the data stream in each different area to distinguish whether an emergency occurs. Also, according to different emergencies, use different ways to deal with the emergent data. Meanwhile, it is verified by the OMNet++ network simulation tool.","PeriodicalId":264468,"journal":{"name":"2021 7th IEEE International Conference on Network Intelligence and Digital Content (IC-NIDC)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121404030","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

Mutual Authentication and Distributed Key Management with Permissioned Blockchain in MEC-Enabled Vehicular Networks 基于许可区块链的mec车辆网络相互认证和分布式密钥管理

2021 7th IEEE International Conference on Network Intelligence and Digital Content (IC-NIDC) Pub Date : 2021-11-17 DOI: 10.1109/IC-NIDC54101.2021.9660532

Cong Meng, Heli Zhang, Hong Ji, Xi Li

引用次数: 0

Classification of Single- and Multi-carrier Signals Using CNN Based Deep Learning 基于CNN深度学习的单载波和多载波信号分类

2021 7th IEEE International Conference on Network Intelligence and Digital Content (IC-NIDC) Pub Date : 2021-11-17 DOI: 10.1109/IC-NIDC54101.2021.9660515

S. An, Mingyu Jang, D. Yoon

引用次数: 1

A Tunable Routing Algorithm for Integerated Terrestrial-Satellite Networks Based on the Space-Time Graph 基于空时图的地星综合网络可调路由算法

2021 7th IEEE International Conference on Network Intelligence and Digital Content (IC-NIDC) Pub Date : 2021-11-17 DOI: 10.1109/IC-NIDC54101.2021.9660472

Yingjie Deng, Yu Liu

{"title":"A Tunable Routing Algorithm for Integerated Terrestrial-Satellite Networks Based on the Space-Time Graph","authors":"Yingjie Deng, Yu Liu","doi":"10.1109/IC-NIDC54101.2021.9660472","DOIUrl":"https://doi.org/10.1109/IC-NIDC54101.2021.9660472","url":null,"abstract":"Integrated terrestrial-satellite networks have the advantages of wide coverage, long communication distance, strong mobile access capability, which form a good complementary relationship with 5G cellular network and have a bright future. However, integrated terrestrial-satellite network is a typical DTN network with time varying topology, in which whole end-to-end paths are hardly to be established. It is significant to design a routing algorithm for the integrated terrestrial-satellite networks. In order to solve the routing problem of satellite network, in this paper, a space-time graph model is first constructed. Inspired by the minimum-cost constrained multipath routing (MCMP) algorithm, a minimum-delay constrained multipath routing (MDMP) algorithm is proposed to minimize routing delay. Furthermore, a tunable minimum-delay-cost constrained multipath routing (TMMP) algorithm is proposed, which considers the optimization of both routing delay and energy cost with linear weighting method. Simulation results prove the effectiveness of MDMP algorithm and TMMP algorithm.","PeriodicalId":264468,"journal":{"name":"2021 7th IEEE International Conference on Network Intelligence and Digital Content (IC-NIDC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131435576","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 Security Integrated Attestation Scheme for Embedded Devices 嵌入式设备安全集成认证方案

2021 7th IEEE International Conference on Network Intelligence and Digital Content (IC-NIDC) Pub Date : 2021-11-17 DOI: 10.1109/IC-NIDC54101.2021.9660438

Jiangnan Lin, Qiuxin Wu

引用次数: 0

Privacy-Preserving Verifiable Collaborative Learning with Chain Aggregation 具有链聚合的可验证协同学习

2021 7th IEEE International Conference on Network Intelligence and Digital Content (IC-NIDC) Pub Date : 2021-11-17 DOI: 10.1109/IC-NIDC54101.2021.9660520

Ming Zhou, Zhen Yang, Haiyang Yu, Yingxu Lai, Zhanyu Ma

{"title":"Privacy-Preserving Verifiable Collaborative Learning with Chain Aggregation","authors":"Ming Zhou, Zhen Yang, Haiyang Yu, Yingxu Lai, Zhanyu Ma","doi":"10.1109/IC-NIDC54101.2021.9660520","DOIUrl":"https://doi.org/10.1109/IC-NIDC54101.2021.9660520","url":null,"abstract":"As many countries have promulgated laws on the protection of user data privacy, how to legally use user data has become a hot topic. With the emergence of collaborative learning, also known as federated learning, multiple participants can create a common, robust, and secure machine learning model aimed at addressing such critical issues of data sharing as privacy, security, and access, etc. Unfortunately, existing research shows that collaborative learning is not as secure as it claims, and the gradient leakage is still a key problem. To deal with this problem, a collaborative learning solution based on chained secure multi-party computing has been proposed recently. However, there are two security issues in this scheme that remain unsolved. First, if semi-honest users collude, the honest users' gradient also leaks. Second, if one of the users fails, it also cannot guarantee the correctness of the aggregation results. In this paper, we propose a privacy-preserving and verifiable chain collaborative learning scheme to solve this problem. First, we design a gradient encryption method, which can solve the problem of gradient leakage. Second, we create a verifiable method based on homomorphic hash technology. This method can ensure the correctness of users' aggregation results. At the same time, it can also track users who aggregate wrong. Compared with other solutions, our scheme is more efficient.","PeriodicalId":264468,"journal":{"name":"2021 7th IEEE International Conference on Network Intelligence and Digital Content (IC-NIDC)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115119748","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

Thermal Face Detection for High-Speed AI Thermometer 高速人工智能温度计的热人脸检测

2021 7th IEEE International Conference on Network Intelligence and Digital Content (IC-NIDC) Pub Date : 2021-11-17 DOI: 10.1109/IC-NIDC54101.2021.9660583

W. Lee, Hyucksung Kwon, Jungwook Choi

引用次数: 0

Automatic Building Age Prediction from Street View Images 从街景图像自动预测建筑物年龄

2021 7th IEEE International Conference on Network Intelligence and Digital Content (IC-NIDC) Pub Date : 2021-11-17 DOI: 10.1109/IC-NIDC54101.2021.9660554

Maoran Sun, Fan Zhang, Fábio Duarte

引用次数: 2