检索结果-内蒙古大学图书馆

2024 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI 2024

作者： Kok, Manon Solin, Arno Delft University of Technology Delft Center for Systems and Control Netherlands Aalto University Department of Computer Science Finland

ISBN: (纸本)9798350368031

We present a lightweight magnetic field simultaneous localisation and mapping (SLAM) approach for drift correction in odometry paths, where the interest is purely in the odometry and not in map building. We represent the past magnetic field readings as a one-dimensional trajectory against which the current magnetic field observations are matched. This approach boils down to sequential loop-closure detection and decision-making, based on the current pose state estimate and the magnetic field. We combine this setup with a path estimation framework using an extended Kalman smoother which fuses the odometry increments with the detected loop-closure timings. We demonstrate the practical applicability of the model with several different real-world examples from a handheld iPad moving in indoor scenes. © 2024 IEEE.

关键词： Magnetic fields

来源：评论

学校读者我要写书评

暂无评论

Curriculum Guided Domain Adaptation in the Dark

IEEE Transactions on Artificial Intelligence

引用

IEEE Transactions on Artificial Intelligence 2024年第6期5卷 2604-2614页

作者： Jahan, Chowdhury Sadman Savakis, Andreas Rochester Institute of Technology Center for Imaging Science RochesterNY14623 United States Kate Gleason College of Engineering Rochester Institute of Technology Department of Computer Engineering RochesterNY14623 United States

Addressing the rising concerns of privacy and security, domain adaptation in the dark aims to adapt a black-box source trained model to an unlabeled target domain without access to any source data or source model parameters. The need for domain adaptation of black-box predictors becomes even more pronounced to protect intellectual property as deep learning based solutions are becoming increasingly commercialized. Current methods distill noisy predictions on the target data obtained from the source model to the target model, and/or separate clean/noisy target samples before adapting using traditional noisy label learning algorithms. However, these methods do not utilize the easy-to-hard learning nature of the clean/noisy data splits. Also, none of the existing methods are end-to-end, and require a separate fine-tuning stage and an initial warmup stage. In this work, we present Curriculum Adaptation for Black-Box (CABB) which provides a curriculum guided adaptation approach to gradually train the target model, first on target data with high confidence (clean) labels, and later on target data with noisy labels. CABB utilizes Jensen-Shannon divergence as a better criterion for clean-noisy sample separation, compared to the traditional criterion of cross-entropy loss. Our method utilizes cotraining of a dual-branch network to suppress error accumulation resulting from confirmation bias. The proposed approach is end-to-end trainable and does not require any extra fine-tuning stage, unlike existing methods. Empirical results on standard domain adaptation datasets show that CABB outperforms existing state-of-the-art black-box DA models and is comparable to white-box domain adaptation models. © 2020 IEEE.

关键词： Curricula

来源：评论

学校读者我要写书评

暂无评论

Research and Application of Speech Transmission Index in Acoustic Leakage Detection 17

Research and Application of Speech Transmission Index in Aco...

引用

17th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2024

作者： Hao, Qiuyun Wang, FuQiang Zhang, Peng Ma, XiaoFeng Zhang, Jianqiang Zhao, Wei Ministry of Education Shandong Computer Science Center National Supercomputer Center in Jinan Qilu University of Technology Shandong Academy of Sciences Key Laboratory of Computing Power Network and Information Security Jinan China Shandong Fundamental Research Center for Computer Science Shandong Provincial Key Laboratory of Industrial Network and Information System Security Jinan China

ISBN: (纸本)9798331507398

Acoustic information in confidential premise can be leaked through channels such as walls, pipes, doors and windows. Acoustic leakage level needs to be measured through specific indicators. Acoustic leakage evaluation indicator includes subjective evaluation indicator and objective evaluation indicator. The subjective evaluation indicator is a qualitative evaluation of acoustic leakage through subjective auditory perception of human ear, which can directly reflect the degree of acoustic leakage in confidential premise. At present, the objective evaluation indicator is mainly sound transmission loss (STL) to reflect objective degree of acoustic leakage in confidential premise. Therefore, it is relatively singular. Through study of Speech Transmission Index (STI), speech transmission index for public address systems (STIPA), which is a simplified form of FULL STI, is applied to acoustic leakage detection in this paper. STI has been proposed as an objective evaluation indicator and applied to acoustic leakage detection and acoustic information security. In order to confirm the effectiveness of objective evaluation indicator, a large number of related experimental studies have been conducted in the paper. Through experiments, it has been proven that STI can objectively evaluate level of acoustic leakage and level of acoustic information security in confidential premise. STI can better predict level of Chinese clarity under various complex transmission conditions. It provides a reliable basis for speech privacy of confidential premise and evaluation of architectural acoustic, sound reinforcement system and voice communication system. © 2024 IEEE.

关键词： Information leakage

来源：评论

学校读者我要写书评

暂无评论

Multilingual Knowledge Graph Completion via Multimodal Decouple and Relation-based Ensemble Inference 29

Multilingual Knowledge Graph Completion via Multimodal Decou...

引用

29th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2023

作者： Liu, Xiaojing Jiang, Xuesong Yi, Fengge Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center Jinan China Shandong Engineering Research Center of Big Data Applied Technology Faculty of Computer Science and Technology Jinan China Shandong Fundamental Research Center for Computer Science Shandong Provincial Key Laboratory of Computer Networks Jinan China

ISBN: (纸本)9798350330717

The objective of Multimodal Knowledge Graph Completion (MKGC) is to forecast absent entities within a knowledge graph by leveraging additional textual and visual modalities. Existing studies commonly utilize a singular relationship embedding to depict all modalities within an entity pair, thus connecting several relationships derived from diverse modalities. However, this coupling may introduce interference from conflicting information between modalities, as the relationships between modalities for a given entity pair can be contradictory. Moreover, existing Ensemble Inference methods fail to dynamically adjust modal weights based on their differences and importance, despite the varying contributions of different modalities. In this paper, we propose the Multimodal Decouple and Relation-based Ensemble inference (MDRE) model. For each modality, we construct corresponding relationship embeddings and build separate triple representations to avoid interferences among modalities. During the training phase, we employ confidence-constrained training with temperature scaling to alleviate conflicting information in textual and visual modalities. For inference, we utilize the Relation-based Ensemble Inference method to adjust modal weights at the relationship level, thus achieving improved prediction results. Experimental results on two datasets demonstrate that MDRE outperforms existing single-modal and multimodal knowledge graph completion methods in terms of performance. © 2023 IEEE.

关键词： knowledge graph knowledge graph completion multimodal fusion

来源：评论

学校读者我要写书评

暂无评论

Application of quantum genetic algorithm in high noise laser image security

引用

Optoelectronics Letters 2022年第1期18卷 59-64页

作者： MAN Zhenlong LI Jinqing DI Xiaoqiang MU Yining School of Computer Science and Technology Changchun University of Science and TechnologyChangchun 130022China Jilin Province Key Laboratory of Network and Information Security Changchun 130022China Information Center of Changchun University of Science and Technology Changchun 130022China School of Science Changchun University of Science and TechnologyChangchun 130022China

Aiming at the security problem of range gated laser imaging in high noise background,a range gated laser image encryption scheme based on the quantum genetic algorithm(QGA)is *** to the fuzziness of the laser image itself,the randomness and security of the key become more and more important in *** this paper,the chaotic sequence is used as the parent chromosome of the QGA,and the random number satisfying the encryption algorithm is obtained by an iterative genetic *** further improve the security of laser images,some random pixels are stochastically inserted around the laser image before *** random pixels are scrambled together with the ***,an adaptive diffusion method is designed to completely change the original statistical information of the *** simulation and performance analysis show that the scheme has high security.

关键词： image algorithm quantum

来源：评论

学校读者我要写书评

暂无评论

Diode-Triode Current Mirror Inverter PUF: A Novel Mixed-Signal Low Power Analog PUF 66

Diode-Triode Current Mirror Inverter PUF: A Novel Mixed-Sign...

引用

2023 IEEE 66th International Midwest Symposium on Circuits and Systems, MWSCAS 2023

作者： Gisha, C.G. Chakraborty, Ananda Sankar Chakraborty, Rajat Subhra Jose, Bijoy Antony Mathew, Jimson Cochin University of Science and Technology Department of Electronics Kochi India Berkeley Wireless Research Center Uc Berkeley Berkeley United States Iit Department of Computer Science and Engineering Kharagpur India Cochin University of Science and Technology Department of Computer Science Kochi India Indian Institute of Technology Patna Department of Computer Science Bihar India

ISBN: (纸本)9798350302103

Physically Unclonable Function (PUF) is a useful and versatile lightweight hardware security primitive that takes advantage of unavoidable and unpredictable random process variations during chip manufacturing. This paper proposes a novel diode-triode low-power analog PUF circuit on CMOS current mirror inverter circuit. Due to the random process variation of the MOSFET parameters, the output voltage level of the inverter will vary based on the applied input. These analog voltage variations in the circuit output are converted into a corresponding digital response through an XOR-tree. The performance metrics of the proposed PUF circuit were estimated by simulating a 64-bit PUF circuit at a 32-nano m CMOS technology node. The proposed PUF design achieves a uniformity of 49.87%, an inter-Hamming Distance of 47.52%, average bitaliasing of 49.87%, while consuming 20.99 μW power during operation. The proposed PUF also shows excellent robustness to machine learning based modeling attacks. © 2023 IEEE.

关键词： analog PUF current mirror inverter hardware security low power Mixed-signal PUF

来源：评论

学校读者我要写书评

暂无评论

A hybrid bi-objective scheduling algorithm for execution of scientific workflows on cloud platforms with execution time and reliability approach

引用

Journal of Supercomputing 2023年第2期79卷 1451-1503页

作者： Asghari Alaie, Yeganeh Hosseini Shirvani, Mirsaeid Rahmani, Amir Masoud Department of Computer Engineering Sari Branch Islamic Azad University Sari Iran Future Technology Research Center National Yunlin University of Science and Technology Yunlin Taiwan

Heterogeneous cloud datacenters are well-suited and cost-efficient platforms for execution of scientific workflows requested from academics. Workflow scheduling algorithms have drastic impacts on the objectives that stakeholders in the system expect. This paper models the scientific workflow scheduling issue to a bi-objective optimization problem with makespan and reliability optimization approach because the users not only expect to have quick response, but also they need reliable executions. To address the issue, a new system framework and different concepts are introduced. A centralized log as a repository module is embedded in the system framework to register all kinds of system failures. In addition to, the new scheduling failure factor (SFF), which has reciprocal relation with system reliability, is defined. Therefore, the broker module quantifies the failure proneness of all resources and the most reliable ones are incorporated in scheduling model. The aforementioned scheduling model is then formulated to a bi-objective optimization problem with makespan and SFF minimization viewpoint which is an NP-Hard problem. To solve this combinatorial problem, a hybrid bi-objective discrete cuckoo search algorithm (HDCSA) is proposed. The proposed hybrid algorithm utilizes different novel Levy flight operators commensurate with discrete search space that makes good balance between exploration and exploitation in optimization process. The proposed HDCSA was validated in 12 extensive scenarios that were conducted on both symmetric and asymmetric scientific workflows in different conditions. The final results prove that the proposed bi-objective HDCSA scheduler has the amount of 22.11%, 12.97%, 11.81%, 12.18%, and 12.42% on average improvement against other state-of-the-arts in terms of makespan, SFF, speedup, efficiency, and SLR, respectively, which are prominent performance evaluation metrics is this scheduling domain. © 2022, The Author(s), under exclusive licence to Sp

关键词： Scheduling

来源：评论

学校读者我要写书评

暂无评论

Infringement Detection and Traceability Scheme Based on Ciphertext Feature Extraction 9

Infringement Detection and Traceability Scheme Based on Ciph...

引用

9th IEEE International Conference on Data science in Cyberspace, DSC 2024

作者： Wang, Lianhai Wang, Xinlei Liu, Tianrui Wang, Yingxiaochun Li, Qi Qilu University of Technology Shandong Academy of Sciences Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center National Supercomputer Center in Jinan Jinan China Shandong Fundamental Research Center for Computer Science Shandong Provincial Key Laboratory of Industrial Network and Information System Security Jinan China

ISBN: (纸本)9798350391367

The rapid growth of healthcare data transactions has fostered win-win developments in healthcare technology innovation and economic benefits. However, the issue of secondary transactions makes data ownership vulnerable to infringement due to the easily replicable nature of the data. As the importance of ownership and privacy increases, more and more users protect the privacy of data through encryption methods, making it impossible for existing methods to make infringement judgments on ciphertext data. To solve this problem, we propose an infringement detection and traceability scheme based on feature extraction of ciphertext data. Firstly, the characteristics of fully homomorphic encryption are utilized to obtain data features in the ciphertext state, and the plaintext state of these features is used as the basis for infringement judgment. Additionally, during the data transaction process, the ownership registration of the sales data is verified through smart contracts to ensure the effective association between the transaction data and the seller's address. The experimental results show that the scheme can accurately determine infringement while protecting data security and privacy. © 2024 IEEE.

关键词： Differential privacy

来源：评论

学校读者我要写书评

暂无评论

Provisioning a Reliable Kubernetes cluster with CI/CD

Provisioning a Reliable Kubernetes cluster with CI/CD

引用

2024 International computer Symposium, ICS 2024

作者： Wang, Chih-Chia Tseng, Chien-Chao National Yang Ming Chiao Tung University Information Technology Center Department of Computer Science Hsinchu Taiwan National Yang Ming Chiao Tung University Department of Computer Science Hsinchu Taiwan

ISBN: (纸本)9798331509071

In today's fast-paced IT environment, adopting Infrastructure-as-Code mechanisms to automate the provisioning of servers, virtual machines, and Kubernetes clusters has become essential. However, relying solely on IaC mechanisms can result in issues such as package versions, configuration errors, and manual script modifications leading to provisioning failures and wasted time. This study introduces the CSIT Golden IaC Framework at the computer science Information Technologies center of National Yang Ming Chiao Tung University, which combines Golden Images with existing IaC scripts and integrates Continuous Integration/Continuous Delivery mechanisms to ensure rapid and reliable provisioning of identical environments. Experimental results show significant time savings and error reduction, paving the way for automated management of Kubernetes clusters. © 2024 IEEE.

关键词： Peer to peer networks

来源：评论

学校读者我要写书评

暂无评论

Single- and multi-GPU computing on NVIDIA- and AMD-based server platforms for solidification modeling application

Single- and multi-GPU computing on NVIDIA- and AMD-based ser...

引用

作者： Halbiniak, Kamil Meyer, Norbert Rojek, Krzysztof Department of Computer Science Czestochowa University of Technology Czestochowa Poland Poznan Supercomputing and Networking Center Poznan Poland

This work explores the performance of single- and multi-GPU computing on state-of-the-art NVIDIA- and AMD-based server-class hardware using various programming interfaces to accelerate a real-world scientific application for solidification modeling based on the phase-field method. The main computations of this memory-bound application correspond to 20 stencils computed across grid nodes. We investigate the application's scalability for two basic schemes of organizing computation: without and with hiding data transfers behind computation, combined with using either peer-to-peer inter-GPU data transfers through NVIDIA NVLink and AMD Infinity interconnects or communication over the PCIe and main memory. Among the studied programming interfaces is CUDA, HIP, and OpenMP Accelerator Model. While the first two are designed to write the codes for a specific hardware platform, OpenMP enables code portability between NVIDIA and AMD GPUs. The resulting performance is experimentally assessed on computing platforms containing NVIDIA V100 (up to 8 GPUs) and A100 (one GPU), as well as AMD MI210 (one device) and MI250 (up to 8 logical GPUs). © 2023 John Wiley & Sons Ltd.

关键词： Graphics processing unit

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：