检索结果-内蒙古大学图书馆

35th Annual Symposium on Combinatorial Pattern Matching, CPM 2024

作者： Mitani, Kazuki Mieno, Takuya Seto, Kazuhisa Horiyama, Takashi Graduate School of Information Science and Technology Hokkaido University Japan Department of Computer and Network Engineering University of Electro-Communications Tokyo Japan Faculty of Information Science and Technology Hokkaido University Japan

ISBN: (纸本)9783959773263

This paper investigates the (quasi-)periodicity of a string when the string is edited. A string C is called a cover (as known as a quasi-period) of a string T if each character of T lies within some occurrence of C. By definition, a cover of T must be a border of T;that is, it occurs both as a prefix and as a suffix of T. In this paper, we focus on the changes in the longest border and the shortest cover of a string when the string is edited only once. We propose a data structure of size O(n) that computes the longest border and the shortest cover of the string in O(log n) time after an edit operation (either insertion, deletion, or substitution of some string) is applied to the input string T of length n, where is the length of the string being inserted or substituted. The data structure can be constructed in O(n) time given string T. © Kazuki Mitani, Takuya Mieno, Kazuhisa Seto, and Takashi Horiyama.

关键词： Data structures

来源：评论

学校读者我要写书评

暂无评论

Decentering the Designer Through Live-Action Roleplay 24

Decentering the Designer Through Live-Action Roleplay

引用

2024 Halfway to the Future Symposium, HttF 2024

作者： O’Bryan, Mikaela Alvarez, Alberto Font, Jose Robinson, Raquel Breejon Internet of Things and People Research Center Department of Computer Science and Media Technology Malmö University Sweden Game Lab Department of Computer Science and Media Technology Malmö University Sweden IT University of Copenhagen Denmark

ISBN: (纸本)9798400710421

More-than-human approaches to HCI design research have gained traction in recent years, facilitating a need to employ new methods that decenter the human perspective. We propose live-action roleplay (larp), as a method and practice within HCI that can support perspective taking and empathy-building with non-humans actors. In this paper, we discuss a local community workshop where we facilitated numerous body-based and larp activities surrounding the theme of sustainability, and reflect on the strengths larp offers in service of decentering the human perspective. © 2024 Copyright held by the owner/author(s).

关键词： Design for manufacturability

来源：评论

学校读者我要写书评

暂无评论

Does More Informative Job Title Lead to More Successful Hirings? A Randomized Field Experiment on an Online Labor Market Platform 58

Does More Informative Job Title Lead to More Successful Hiri...

引用

58th Hawaii International Conference on System sciences, HICSS 2025

作者： Cheng, Yihang Hu, Xiao Zhu, Chen Zhu, Hengshu Computer Network Information Center Chinese Academy of Sciences China Career Science Lab BOSS Zhipin China School of Management University of Science and Technology of China China

ISBN: (纸本)9780998133188

Online labor market platforms have rapidly developed over the past few years. The job title, as a crucial piece of observable information, research about its impact on job-related behaviors is lack. In this study, we selected one of the largest blue-collar online labor market platforms in China, constructing a large-scale field experiment on job titles with different degrees of information disclosure depth and breadth generated by the proposed model based on Large language model (LLM), involving more than 50,000 job listings and more than 800,000 users in the platform, to investigate whether the information disclosed in the job title affects the likelihood of the job being viewed and successfully matched. Findings claim the compared with the central route (processing depth information), peripheral route information processing (processing breadth information) is the dominant method on online labor market platforms. Additionally, sufficient processing of breadth information significantly impacts subsequent behaviors. © 2025 IEEE computer Society. All rights reserved.

关键词： Modeling languages

来源：评论

学校读者我要写书评

暂无评论

Combining machine learning and game theory for forecasting production capacity and influence factors analysis 84

Combining machine learning and game theory for forecasting p...

引用

84th EAGE Annual Conference and Exhibition

作者： Yue, M. Song, T. Song, H. Wang, Y. Zhu, W. Lao, J. Du, S. Xie, C. Wang, J. University of Science and Technology Beijing China China Computer Network Information Center Chinese Academy of Sciences China

ISBN: (纸本)9781713884156

Forecasting production capacity efficiently and obtaining dominant influence factors are important and necessary for oil and gas reservoirs development. Therefore, an innovative framework (CNN-SHAP) is proposed combining machine learning model and game theory. In a real case, the proposed framework presents a high precision and low errors with R2&0.87 and MSE is 0.35, and has great convergence on predict production capacity. In addition, the CNN-SHAP framework has accurately quantified the individual/joint/interaction effects of influence factors on forecasting tasks and identified whether the contribution of each input feature is positive or negative. The results demonstrate that the top five dominant factors are equivalent permeability, formation thickness, crude oil viscosity, matrix permeability and cluster number. Furthermore, formation thickness, injection volume and saturation are found strongly coupled to other parameters. Therefore, this framework sheds important insights into providing cost-effective production development strategies on tight reservoirs. Meanwhile, this framework has captured the complex non-linear mapping relationships among input variables and production capacity, and presents them in an explainable manner, thus improving the interpretability of machine learning models. Overall, the CNN-SHAP framework can contribute to a robust and high-precision prediction for production capacity and contribute to a more advanced development strategy on tight reservoirs. © 2023 84th EAGE Annual Conference and Exhibition. All rights reserved.

关键词： Game theory

来源：评论

学校读者我要写书评

暂无评论

A Study on the Design of Eye and Eyeball Method Based on MTCNN 1

引用

13th International Conference on Frontier Computing, FC 2023

作者： Hsueh, Cheng-Yu Hung, Jason C. Tzeng, Jian-Wei Huang, Hui-Chun Huang, Chun-Hong Department of Computer Science and Information Engineering National Taichung University of Science and Technology Taichung404348 Taiwan Department of Information Management National Taichung University of Science and Technology Taichung404348 Taiwan Department of Innovation Application and Management Chang Jung Christian University Tainan71101 Taiwan Department of Computer Information and Network Engineering Lunghwa University of Science and Technology Taoyuan33306 Taiwan

ISBN: (数字)9789819993420

ISBN: (纸本)9789819993413

Studies on eye tracking have relied on wearable eye trackers and chin-resting eye trackers, but the high cost of equipment and the need to wear devices during experiments can lead to less natural facial movement. This study collected eye-tracking data by using a raw-video camera without adjusting any parameters. Python was used as the primary programming language. Eye tracking was adjusted through calculations of facial distance, and multitask cascaded convolutional networks were used to collect eye-tracking data. The corrected results were visualized, and linear regression was used to determine correction error. The root mean square error was 221.66, and the mean squared error was 260.48. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2024.

关键词： Eye tracking

来源：评论

学校读者我要写书评

暂无评论

Improving Multimodal Rumor Detection via Dynamic Graph Modeling 27th

Improving Multimodal Rumor Detection via Dynamic Graph Model...

引用

27th International Conference on Pattern Recognition, ICPR 2024

作者： Wu, Xinyu Hu, Xiaoxu Qin, Xugong Zhang, Peng Zeng, Gangyan Guo, Yu Zhao, Runbo Huang, Xinjian School of Cyber Science and Engineering Nanjing University of Science and Technology Nanjing China National Computer Network Response Technical Team/Coordination Center Technology Beijing China Laboratory for Advanced Computing and Intelligence Engineering Wuxi China

ISBN: (纸本)9783031784552

Due to the proliferation of rumors in social networks, automatic rumor detection has evoked increasing attention in recent years. Despite great progress achieved by exploiting multimodal features, existing works suffer from false discrimination issues due to insufficient multimodal modeling, mainly from two aspects: 1) neglect of the dynamicity of social networks. 2) misaligned multimodal features. To alleviate the issues, we propose DGM, Dynamic Graph Modeling for rumor detection. Firstly, dynamic graph attention is devised to exploit message propagation’s structural and temporal features. Secondly, we propose a modality-shared adapter to learn better multimodal representation. Thirdly, well-aligned visual-textual features are introduced to achieve better multimodality alignment and fusion, together with cross-modal attention and alignment supervision. We conduct extensive experiments on two public datasets, demonstrating the effectiveness and superiority of DGM. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Social networking (online)

来源：评论

学校读者我要写书评

暂无评论

Artificial intelligence in physiological characteristics recognition for internet of things authentication

引用

Digital Communications and networks 2024年第3期10卷 740-755页

作者： Zhimin Zhang Huansheng Ning Fadi Farha Jianguo Ding Kim-Kwang Raymond Choo School of Computer and Communication Engineering University of Science and Technology BeijingBeijing100083China Beijing Engineering Research Center for Cyberspace Data Analysis and Applications Beijing100083China Faculty of Informatics Engineering Aleppo UniversityAleppoSyria Department of Computer Science Blekinge Institute of Technology37179KarlskronaSweden Department of Information Systems and Cyber Security University of Texas at San AntonioSan AntonioTX78249-0631USA

Effective user authentication is key to ensuring equipment security,data privacy,and personalized services in Internet of Things(IoT)***,conventional mode-based authentication methods(e.g.,passwords and smart cards)may be vulnerable to a broad range of attacks(e.g.,eavesdropping and side-channel attacks).Hence,there have been attempts to design biometric-based authentication solutions,which rely on physiological and behavioral *** characteristics need continuous monitoring and specific environmental settings,which can be challenging to implement in ***,we can also leverage Artificial Intelligence(AI)in the extraction and classification of physiological characteristics from IoT devices processing to facilitate ***,we review the literature on the use of AI in physiological characteristics recognition pub-lished after *** use the three-layer architecture of the IoT(i.e.,sensing layer,feature layer,and algorithm layer)to guide the discussion of existing approaches and their *** also identify a number of future research opportunities,which will hopefully guide the design of next generation solutions.

关键词： Physiological characteristics recognition Artificial intelligence Internet of things Biological-driven authentication

来源：评论

学校读者我要写书评

暂无评论

Efficient Implementation of the LOBPCG Algorithm on a CPU-GPU Cluster 20th

Efficient Implementation of the LOBPCG Algorithm on a CP...

引用

20th IFIP WG 10.3 International Conference on network and Parallel Computing, NPC 2024

作者： Liu, Yang Zhao, Yonghua Wang, Zexin Huang, Rongfeng Zhang, Dingye Zhang, Xinyin Computer Network Information Center Chinese Academy of Science Beijing China University of Chinese Academy of Sciences Beijing China School of Information Science and Technology Shijiazhuang Tiedao University Hebei Shijiazhuang China

ISBN: (纸本)9789819628292

The Locally Optimal Block Preconditioned Conjugate Gradient (LOBPCG) algorithm is an effective algorithm for solving large-scale sparse eigenvalue problems in various scientific and engineering applications. Based on a distributed CPU-GPU heterogeneous environment, this paper presents an optimized approach for the efficient solution of sparse eigenvalue problems utilizing the LOBPCG algorithm. To conceal intra-node data transfer and reduce the influence of the cross-node MPI communication overhead, we employ a sparse matrix regular two-dimensional partitioning scheme. To enhance GPU data throughput and data reuse, we consolidate multiple sparse matrix-vector multiplications (SPMV) into a single sparse matrix-matrix multiplication (SPMM). Furthermore, for the irregular dense matrix-matrix multiplication (GEMM) involved in the LOBPCG algorithm, we design an adaptive batched GEMM technique for GPU execution. Extensive experimental results demonstrate the computational efficiency and scalability of our approach. Our implementation achieves a significant speedup in solving typical matrices compared to the SLEPc library. The strong scalability performance exceeds 58%. © IFIP International Federation for Information Processing 2025.

关键词： Scalability

来源：评论

学校读者我要写书评

暂无评论

Constructing a Secure Charity NFT Auction Platform Using Fisco Bcos Blockchain for Enhancing Transparency and Traceability

引用

IEEE Access 2024年 12卷 36924-36941页

作者： Chen, Chin-Ling Zhan, Wan-Bing Tsaur, Woei-Jiunn Huang, Der-Chen Liu, Ling-Chun Changchun Sci-Tech University Changchun School of Information Engineering Jilin130600 China Chaoyang University of Technology Department of Computer Science and Information Engineering Taichung413310 Taiwan Xiamen University of Technology Xiamen School of Computer and Information Engineering Fujian361024 China National Taipei University Computer Center New Taipei City237303 Taiwan National Taipei University Department of Computer Science and Information Engineering New Taipei City237303 Taiwan National Chung Hsing University Department of Computer Science and Engineering Taichung402202 Taiwan

In the charity sector, fundraising and transparency have long been key issues. Charity NFT (Non-Fungible Token) auctions, an emerging charity fundraising model integrating blockchain and NFT concepts, bring opportunities and challenges. Blockchain provides distributed data integrity and transparency via cryptography-linked data blocks, while NFTs enable unique digital ownership representation. This study designs a charity NFT auction platform on the Fisco Bcos blockchain, using multi-signature algorithms to ensure NFT authenticity, ECDSA (Elliptic Curve Digital Signature Algorithm) signatures for transaction integrity and traceability, NFTs and virtual currencies to reduce costs, and IPFS (InterPlanetary File System) for storage. The implemented system achieves 2104 TPS throughput with 492-millisecond latency, increasing transaction processing with low latency. Overall, the platform aims to address charity issues like opaque fund flows, high costs, and fake initiatives through the strategic application of blockchain and NFT functionality. © 2013 IEEE.

关键词： Smart contract

来源：评论

学校读者我要写书评

暂无评论

A Novel Blockchain-Based Deepfake Detection Method Using Federated and Deep Learning Models

引用

Cognitive Computation 2024年第3期16卷 1073-1091页

作者： Heidari, Arash Navimipour, Nima Jafari Dag, Hasan Talebi, Samira Unal, Mehmet Department of Software Engineering Haliç University Istanbul34060 Turkey Department of Computer Engineering Kadir Has University Istanbul Turkey Future Technology Research Center National Yunlin University of Science and Technology Yunlin Douliou64002 Taiwan Department of Information Technology Kadir Has University Istanbul Turkey Department of Computer Science University of Texas at San Antonio San AntonioTX United States Department of Computer Engineering Nisantasi University Istanbul Turkey

In recent years, the proliferation of deep learning (DL) techniques has given rise to a significant challenge in the form of deepfake videos, posing a grave threat to the authenticity of media content. With the rapid advancement of DL technology, the creation of convincingly realistic deepfake videos has become increasingly prevalent, raising serious concerns about the potential misuse of such content. Deepfakes have the potential to undermine trust in visual media, with implications for fields as diverse as journalism, entertainment, and security. This study presents an innovative solution by harnessing blockchain-based federated learning (FL) to address this issue, focusing on preserving data source anonymity. The approach combines the strengths of SegCaps and convolutional neural network (CNN) methods for improved image feature extraction, followed by capsule network (CN) training to enhance generalization. A novel data normalization technique is introduced to tackle data heterogeneity stemming from diverse global data sources. Moreover, transfer learning (TL) and preprocessing methods are deployed to elevate DL performance. These efforts culminate in collaborative global model training zfacilitated by blockchain and FL while maintaining the utmost confidentiality of data sources. The effectiveness of our methodology is rigorously tested and validated through extensive experiments. These experiments reveal a substantial improvement in accuracy, with an impressive average increase of 6.6% compared to six benchmark models. Furthermore, our approach demonstrates a 5.1% enhancement in the area under the curve (AUC) metric, underscoring its ability to outperform existing detection methods. These results substantiate the effectiveness of our proposed solution in countering the proliferation of deepfake content. In conclusion, our innovative approach represents a promising avenue for advancing deepfake detection. By leveraging existing data resources and the power of FL

关键词： Blockchain

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：