2022 IEEE 22nd International Conference on Software Quality, Reliability, and Security Companion (QRS-C)最新文献_第6页

Mapping Method between 2D Landscape Image and 3D Spatial Data based on Adversarial Relative Depth Constraint Network 基于对抗相对深度约束网络的二维景观图像与三维空间数据映射方法

2022 IEEE 22nd International Conference on Software Quality, Reliability, and Security Companion (QRS-C) Pub Date : 2022-12-01 DOI: 10.1109/QRS-C57518.2022.00101

Shuhao Wang, Zhuoru Lin, Zhimo Weng, Anna Li

{"title":"Mapping Method between 2D Landscape Image and 3D Spatial Data based on Adversarial Relative Depth Constraint Network","authors":"Shuhao Wang, Zhuoru Lin, Zhimo Weng, Anna Li","doi":"10.1109/QRS-C57518.2022.00101","DOIUrl":"https://doi.org/10.1109/QRS-C57518.2022.00101","url":null,"abstract":"This paper proposes a mapping method of 2D image and 3D spatial data based on the adversarial relative depth constraint network. The steps are as follows: 1) Input pixel coordinates of key nodes of 2D landscape image, and conduct normalization preprocessing; 2) Input two-dimensional pixel coordinates into the depth prediction network and output the depth values of key nodes; 3) Using depth values and two-dimensional pixel coordinates to reconstruct three-dimensional coordinates of key nodes; 4) Input DEM data to the discriminator of the generated adversarial network to calculate the authenticity error value, and use the relative depth information between the attitude characteristics of mountain and hydrology and the corresponding key nodes of the image to calculate the relative depth error; 5) Add the authenticity error and relative depth error calculated above to get the total error, and feed back to the depth prediction network to get a more accurate mapping evaluation, so as to realize mapping discovery. The problems solved in this paper include: lack of characteristic pose data in the traditional geo-evidence-based process of 2D landscape images; The results of the generative adversarial network method do not conform to the relative depth relationship of feature points in 3D spatial data.","PeriodicalId":183728,"journal":{"name":"2022 IEEE 22nd International Conference on Software Quality, Reliability, and Security Companion (QRS-C)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133255619","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

Towards Research on Information Gravitation 关于信息引力的研究

2022 IEEE 22nd International Conference on Software Quality, Reliability, and Security Companion (QRS-C) Pub Date : 2022-12-01 DOI: 10.1109/QRS-C57518.2022.00118

K. Cai

引用次数: 0

Elevator Maintenance Site Selection Optimization via Fine-Tuned K-Means 基于精细k均值的电梯维修选址优化

2022 IEEE 22nd International Conference on Software Quality, Reliability, and Security Companion (QRS-C) Pub Date : 2022-12-01 DOI: 10.1109/QRS-C57518.2022.00074

Yuegui Feng, Guangwei Qing, Qianfei Zhou

引用次数: 0

The IoT Service Agent Model based on Federated Learning to Improve Service Quality 基于联邦学习提高服务质量的物联网服务代理模型

2022 IEEE 22nd International Conference on Software Quality, Reliability, and Security Companion (QRS-C) Pub Date : 2022-12-01 DOI: 10.1109/QRS-C57518.2022.00113

Tse-Chuan Hsu, William C. Chu, Shyh-Wei Chen

{"title":"The IoT Service Agent Model based on Federated Learning to Improve Service Quality","authors":"Tse-Chuan Hsu, William C. Chu, Shyh-Wei Chen","doi":"10.1109/QRS-C57518.2022.00113","DOIUrl":"https://doi.org/10.1109/QRS-C57518.2022.00113","url":null,"abstract":"The combination of learning analysis technology and terminal equipment can provide a rapidly imitating learning method between devices, and cognitive intelligence affects the learning effect. To enhance automated learning services, we can use federated learning methods to enable the training of different devices and enhance each other through devices. Using the training database to improve the quality of automated learning services. In this study, a novel agent-assisted active detection and data collection framework is designed. Monitoring agents can learn from each other to establish intelligent models, and through mutual communication between devices. Can check if established data can be applied to machine data model to get data. It can be used for intelligent manufacturing in the future. The agent may learn methods of learning and managing between devices having different properties. Obtaining experimental simulation and control data, and using machine learning to analyze growth progress and results allow for a deeper analysis of associated adjustments and anticipated changes.","PeriodicalId":183728,"journal":{"name":"2022 IEEE 22nd International Conference on Software Quality, Reliability, and Security Companion (QRS-C)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122018082","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

Modeling Trust Relationships in Blockchain Applications: The Case of Reconfigurable Systems-on-Chip 区块链应用中的信任关系建模:以可重构的片上系统为例

2022 IEEE 22nd International Conference on Software Quality, Reliability, and Security Companion (QRS-C) Pub Date : 2022-12-01 DOI: 10.1109/QRS-C57518.2022.00020

M. Méré, F. Jouault, Loïc Pallardy, R. Perdriau

{"title":"Modeling Trust Relationships in Blockchain Applications: The Case of Reconfigurable Systems-on-Chip","authors":"M. Méré, F. Jouault, Loïc Pallardy, R. Perdriau","doi":"10.1109/QRS-C57518.2022.00020","DOIUrl":"https://doi.org/10.1109/QRS-C57518.2022.00020","url":null,"abstract":"Nowadays, System-on-Chip (SoC) components are found everywhere in all kinds of smart devices. Each System-on-Chip contains many different blocks that provide specific functionalities, such as WiFi or Bluetooth connectivity. Whereas integrating each such block in a SoC typically requires paying some royalties, not all blocks are necessary for all applications, or throughout a device's lifecycle. Moreover, it is not possible to manufacture a specific SoC for each application. Significant advantages are therefore expected to be gained by enabling trustworthy remote SoC reconfiguration throughout their life cycles. A few approaches attempting to address this challenge have been proposed in the literature. They are typically based on Blockchain technology in order to support decentralization without relinquishing trust. Reviewing these approaches lead us to identify a potential flaw in the proposed protocols. Indeed, a SoC should be able to trust Blockchain information that it is given, without requiring any centralization. In order to validate our suspicions, we propose in this paper to use Verifpal: a cryptographic protocol verification tool that works from textual protocol models. We use it in a slightly unorthodox way in order to model the trust relationships in one of the approaches from the literature, and to verify it. The results show that, under some assumptions, a flaw is indeed present. We propose and model several possible fixes, and present their respective limitations.","PeriodicalId":183728,"journal":{"name":"2022 IEEE 22nd International Conference on Software Quality, Reliability, and Security Companion (QRS-C)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126176280","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

TrustAuction: A TEE based Privacy Protection Framework for Auction Contracts 委托:基于TEE的拍卖合同隐私保护框架

2022 IEEE 22nd International Conference on Software Quality, Reliability, and Security Companion (QRS-C) Pub Date : 2022-12-01 DOI: 10.1109/QRS-C57518.2022.00125

Jiahao He, Dongyu Cao, Ying Zhou

引用次数: 0

A Novel Coverage-Guided Greybox Fuzzing Method based on Grammar-Aware with Particle Swarm Optimization 一种基于语法感知和粒子群优化的覆盖引导灰盒模糊方法

2022 IEEE 22nd International Conference on Software Quality, Reliability, and Security Companion (QRS-C) Pub Date : 2022-12-01 DOI: 10.1109/QRS-C57518.2022.00132

Shengran Wang, Jinfu Chen, Saihua Cai, Chi Zhang, Haibo Chen

引用次数: 0

Attribute-Based Non-Interactive Privacy-Protected Crowd-Sourcing Software Testing Engineer Selection Mechanism 基于属性的非交互式隐私保护众包软件测试工程师选择机制

2022 IEEE 22nd International Conference on Software Quality, Reliability, and Security Companion (QRS-C) Pub Date : 2022-12-01 DOI: 10.1109/QRS-C57518.2022.00040

Qiliang Yang, Lizhi Cai, Jiayu Gong, Minlu Tang, Yi Lin

引用次数: 0

RandomMix: An Effective Framework to Protect User Privacy Information on Ethereum RandomMix:一个保护以太坊用户隐私信息的有效框架

2022 IEEE 22nd International Conference on Software Quality, Reliability, and Security Companion (QRS-C) Pub Date : 2022-12-01 DOI: 10.1109/QRS-C57518.2022.00124

Hao Yin, Dongyu Cao, Ying Zhou

引用次数: 0

Reliability Analysis of a Computer-Based Interlocking System with a Double 2-out-of-2 Redundancy Structure using Algebraic Binary Decision Diagrams 基于代数二元决策图的双2 / 2冗余结构计算机联锁系统可靠性分析

2022 IEEE 22nd International Conference on Software Quality, Reliability, and Security Companion (QRS-C) Pub Date : 2022-12-01 DOI: 10.1109/QRS-C57518.2022.00073

Wenjia Long, Kaizhi Wang, Xuan Wang

{"title":"Reliability Analysis of a Computer-Based Interlocking System with a Double 2-out-of-2 Redundancy Structure using Algebraic Binary Decision Diagrams","authors":"Wenjia Long, Kaizhi Wang, Xuan Wang","doi":"10.1109/QRS-C57518.2022.00073","DOIUrl":"https://doi.org/10.1109/QRS-C57518.2022.00073","url":null,"abstract":"The computer-based interlocking (CBI) system of urban rail is a safe-critical system. To keep the high reliability of the CBI system of urban rail, reliability analysis is very necessary and important work. The double 2-out-of-2 redun-dancy structure has been widely used in the CBI system which is a core part of control signal equipment in urban rail. The dynamic fault tree (DFT) is an extension of the static fault tree (SFT), which is widely used for the reliability modeling of dynamic systems. An algebraic binary decision diagram (ABDD) is an extension of a binary decision diagram (BDD) which introduces a kind of node denoting a sequence-dependency between events. The DFT can be evaluated by the ABDD. This paper firstly presents a reliability analysis of the CBI system in urban rail by using the ABDD-based method. The CBI system is modeled by the DFT, then the DFT is converted into a function based on a temporal algebraic framework. According to the temporal function, the ABDD can be built for reliability analysis. Compared to the Markov-based method, the ABDD-based method can avoid space-state explosion and have no limitation on the exponential distribution of component failure. A case study related to the CBI system is presented to show the advantage of using our method.","PeriodicalId":183728,"journal":{"name":"2022 IEEE 22nd International Conference on Software Quality, Reliability, and Security Companion (QRS-C)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115833951","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