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International Conference on Tools for Artificial Intelligence (ICTAI)

作者： Ying Luo Xudong Luo Guibin Chen Guangxi Key Lab of Multi-source Information Mining and Security Guangxi Key Lab of Education Blockchain and Intelligent Technology of Ministry of Education School of Computer Science and Engineering Guangxi Normal University Guilin China

ISBN: (数字)9798331527235

ISBN: (纸本)9798331527242

This paper presents a novel multi-choice question answering model tailored for the legal domain, which integrates a DeBERTa-based framework with bilinear attention mechanisms. The model is designed to enhance the interpretation of complex legal texts, utilising vector similarity searches to align questions with pertinent statutes and a neural network to analyse this data effectively. It aims to improve the accuracy of legal question answering by employing advanced techniques of natural language processing. A binary classifier is also incorporated to assess answer options and generate conclusive responses. Experimental results demonstrate the model's superiority over traditional methods, particularly in handling intricate legal questions. This study underscores the model's potential to advance legal AI technology significantly, offering substantial benefits for judicial examinations and legal professionals.

关键词： Analytical models Accuracy Attention mechanisms Law Transforms Question answering (information retrieval) Vectors security Reliability Artificial intelligence

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Fuzzy Concession Strategy for Emotional Human-computer Negotiation*

Fuzzy Concession Strategy for Emotional Human-Computer Negot...

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International Conference on Tools for Artificial Intelligence (ICTAI)

作者： Xudong Luo Ying Luo Kaili Sun Yanling Li Guangxi Key Lab of Multi-source Information Mining and Security Guangxi Key Lab of Education Blockchain and Intelligent Technology of Ministry of Education School of Computer Science and Engineering Guangxi Normal University Guilin China

ISBN: (数字)9798331527235

ISBN: (纸本)9798331527242

This paper proposes an emotion-based human-computer negotiation system. Existing systems handle basic dialogues but struggle with complex negotiations involving human emotions. To address this, we design a fuzzy concession strategy that adjusts tactics through sentiment analysis, managing states like anger, happiness, and anxiety. Experiments show significant improvement in negotiation success and overall gains when considering emotional factors. Results demonstrate that this model enhances customer satisfaction and user experience by achieving agreements that satisfy users. This research highlights the potential of integrating fuzzy reasoning, sentiment analysis, and natural language processing into AI systems, laying the foundation for more intelligent, human-like dialogue agents and improving human-computer interaction and e-commerce engagement.

关键词： Human computer interaction Sentiment analysis Scalability Customer satisfaction Anxiety disorders Refining Machine learning User experience Electronic commerce Fuzzy reasoning

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Design and Implementation of Remote Visitor System Based on NFC Technology 10th

Design and Implementation of Remote Visitor System Based on ...

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10th International Conference on computer Engineering and networks, CENet 2020

作者： Wang, Zhiqiang Gao, Shichun Xue, Meng Ju, Xinyu Wang, Xinhao Lv, Xin Li, Yang Yang, Tao State Information Center Beijing100045 China Beijing Electronic Science and Technology Institute Beijing100070 China Key Lab of Information Network Security Ministry of Public Security Shanghai200000 China

ISBN: (纸本)9789811584619

Most visitor systems information management is at a low level, and the processing method is still semi-manual registration. To improve the level of automation of the visitor system, this paper designs a remote visitor system based on NFC technology deployed on the Android smart-phone platform. It reads and emulates card data through NFC technology and adopts SM series algorithm to encrypt and decrypt the transmitted data. The system effectively solves the problems about security and automation in the traditional guest system. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Smartphones

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A DeBERTa-GPLinker-Based Model for Relation Extraction from Medical Texts

A DeBERTa-GPLinker-Based Model for Relation Extraction from ...

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International Conference on Tools for Artificial Intelligence (ICTAI)

作者： Zhiqi Deng Shutao Gong Xudong Luo Jinlu Liu Guangxi Key Lab of Multi-source Information Mining and Security Guangxi Key Lab of Education Blockchain and Intelligent Technology of Ministry of Education Guangxi Normal University School of Computer Science and Engineering Guilin China

ISBN: (数字)9798331527235

ISBN: (纸本)9798331527242

Extracting causal relationships in medical texts is essential for improving clinical decision support systems and constructing comprehensive medical knowledge graphs. This paper presents a novel model for extracting causal, conditional, and hypernym relationships from Chinese medical texts, combining DeBERTa's advanced contextual encoding with GPLinker's efficient entity and relationship extraction mechanisms. Our approach computes the score matrix of entities and their causal relationships, followed by a decoding process to obtain the final predictions. On the CMedCausal dataset, comparative experiments highlight our model's superior performance in terms of precision, recall, and F1 score, demonstrating its robustness and effectiveness in managing overlapping and nested entities and accurately extracting causal relationships in Chinese medical texts.

关键词： Training Analytical models Sentiment analysis Text analysis Computational modeling Scalability Robustness Encoding security Context modeling

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Identification System Based on Fingerprint and Finger Vein 10th

Identification System Based on Fingerprint and Finger Vein

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10th International Conference on computer Engineering and networks, CENet 2020

作者： Wang, Zhiqiang Hou, Zeyang Wang, Zhiwei Li, Xinyu Wei, Bingyan Lv, Xin Yang, Tao State Information Center Beijing100045 China Beijing Electronic Science and Technology Institute Beijing100070 China Key Lab of Information Network Security Ministry of Public Security Shanghai200000 China

ISBN: (纸本)9789811584619

In recent years, with the rapid development of information technology, more and more attention has been paid to information security. Biometrics is an important way to ensure information security, and digital vein recognition is an important branch of biometrics, which has an irreplaceable position in the field of information security. However, the traditional finger vein recognition is vulnerable to attacks such as replay, template tampering, and forging original features, which leads to the destruction of the authentication system. This paper proposes a solution to encrypt the feature points of finger vein with the key generated by the relative difference of fingerprint detail points based on the SM4 algorithm to realize the double encryption authentication of user information, so as to improve the security and accuracy of user identity identification and meet the increasing requirements of high security. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Biometrics

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KGRN: Knowledge Graph Relational Path network for Target Prediction of TCM Prescriptions 17th

KGRN: Knowledge Graph Relational Path Network for Target Pre...

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17th International Conference on Intelligent Computing, ICIC 2021

作者： Gong, Zhuo Zhang, Naixin He, Jieyue School of Computer Science and Engineering Key Lab of Computer Network and Information Integration MOE Southeast University Nanjing210018 China

ISBN: (纸本)9783030845315

Accurately predicting the effect targets of Traditional Chinese Medicine (TCM) prescriptions is essential for exploring the molecular mechanism and clarifying the mechanism of TCM. Although some scholars have used network pharmacology to study the target prediction of TCM prescriptions, all of them are for the analysis of a specific prescription-disease association, and the universal method for predicting effect targets of TCM prescriptions has not discovered yet. Therefore, this paper proposes a Knowledge Graph Relational Path network for Target Prediction of TCM Prescriptions (KGRN), which can integrate prescription’s molecular and target information through the Knowledge Graph (KG). At the same time, the semantic information and high-level structure of the knowledge graph are extracted through Knowledge Graph Embedding and Graph Neural networks, which can effectively capture the correlation between the prescriptions and the targets. Moreover, by emphasizing the KG relations when aggregating neighborhood information, the Relational Path network of the KGRN model has the ability to capture the relationship dependence in the KG path, which enhances the ability to predict the relationship between the prescriptions and the targets. The experiments under multiple configurations demonstrate that KGRN outperforms the related competitive benchmarks. © 2021, Springer Nature Switzerland AG.

关键词： Knowledge graph

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A Fair and Efficient Protocol for the Millionaires' Problem

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Chinese Journal of Electronics 2023年第2期18卷 249-254页

作者： Ronghua Li Chuankun Wu Yuqing Zhang Graduate University of Chinese Academy of Sciences (GUCAS) Beijing China National Computer Network Intrusion Protection Center GUCAS Beijing China State Key Laboratory of Information Security Institute of Software Beijing China

In the semi-honest model, Lin and Tzeng proposed an efficient solution to the millionaires' problem based on homomorphic encryption. They reduced the problem to the set intersection problem by encoding the private inputs in a special way (the encoding method allows an efficient protocol for the set intersection problem). This paper modifies Lin and Tzeng's protocol by introducing an Oblivious third party, and the modification is fair and secure in the same model. Compared with some of the previous fair protocols, our protocol relaxes the cryptographic assumption or the trust model. Compared with other previous fair protocols, our protocol are more efficient. We also consider security against malicious adversaries, i.e., malicious participants (the two millionaires) and third party.

关键词： Protocols Costs Computational modeling Encoding Cryptography Homomorphic encryption

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A Binary Level Verification Framework for Real-Time Performance of PLC Program in Backhaul/Fronthaul networks

A Binary Level Verification Framework for Real-Time Performa...

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IEEE International Conference on Communications (ICC)

作者： Xuankai Zhang Jun Wu Jianhua Li Ali Kashif Bashir Chao Sang Bei Pei Marwan Omar School of Electronic Information and Electrical Engineering Shanghai Jiaotong University Shanghai China Department of Computing and Mathematics Manchester Metropolitan University Manchester U.K Key Lab of Information Network Security Ministry of Public Security Shanghai China Information Technology and Management Illinois Institute of Technology USA

ISBN: (数字)9781728190549

ISBN: (纸本)9781728190556

PLC control programs are vulnerable to real-time threats, where attackers can disrupt the backhaul/front-end network of industrial production by creating numerous loops or I/O operations, leading to severe consequences. Therefore, formal verification of PLC control logic at the binary level is essential. In this study, we introduce a framework designed for formal verification of PLC control logic at the binary level. Our verification framework is based on simulation execution, which extracts the core control logic from PLC binary code. Initially, we develop an efficient framework for automating the parsing of PLC programs at the binary level and constructing their control flow graphs (CFGs). Next, we devise an algorithm to transform the reversed PLC assembly program into an smv model, a widely accepted formal verification tool. Subsequently, we generate real-time requirements relevant to industrial production and perform formal verification on the constructed models. To assess the real-time performance of our framework in safeguarding PLC systems, we implement a prototype and evaluated it across various representative ICS scenarios. The evaluation results demonstrate the capability of our proposed approach to effectively detect synchronization threats in PLC logic control programs.

关键词： Prototypes Binary codes Production Transforms Real-time systems Logic Flow graphs

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Community discovery method based on complex network of data fusion based on the super network perspective

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International Journal of computers and Applications 2021年第4期43卷 383-390页

作者： Pei, Li School of Computer Science & Technology Xi‘an University of Posts and Telecommunications Xi‘an China Shaanxi Key Laboratory of Network Data Intelligent Processing Xi‘an University of Posts and Telecommunications Xi‘an China Ministry of Education Key Lab For Intelligent Networks and Network Security Xi‘an Jiaotong University Xi‘an China

To enhance the computational efficiency and precision of community discovery, a community discovery algorithm with the mixed label based on the minimum description length (MDI) of information compression is proposed in this paper. Firstly, the community detection is converted to the information compression problem of seeking for an effective network structure and the quality evaluation function is constructed based on the MDL criterion. Secondly, the community discovery algorithm with heuristic mixed label movement is constructed based on the label node movement algorithm and Louvain community addition algorithm so as to reduce the quality evaluation function. Finally, the simulation experiment in the standard test set and API capture Sina microblog dataset shows that the proposed algorithm is superior to the selected comparison algorithm in computational efficiency and precision. © 2018 Informa UK Limited, trading as Taylor & Francis Group.

关键词： Computational efficiency

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Phiss: Progressive and Hierarchical Image Segmentation-Sharing Scheme

SSRN

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SSRN 2022年

作者： Xie, Dong Wang, Xueli Chen, Fulong Zhu, Huijun Wang, Taochun Anhui Provincial Key Laboratory of Network and Information Security School of Computer and Information Anhui Normal University Wuhu241002 China

As a classical secret sharing technique, (k, n) threshold secret image sharing mainly contains the shadow generation phase and the image reconstruction phase. The sensitive secret image is encrypted into n shadows by the dealer in the shadow generation phase, and the secret image can be reconstructed completely bythe participants when the number of shadows meet or exceed the threshold k. Previous progressive or hierarchical secret image sharing schemes have some disadvantages (e.g., inflexibility and inefficiency). To solve this problem, we propose a progressive and hierarchical image segmentation-sharing scheme (referred to as PHISS) in this paper. First, the important content region of the sensitive image (called by the target sub-image) is generated by using the proposed image segmentation algorithm. Here the target sub-image refers to the part with the largest amount of information, for instance, the human face in private photo, the pathological region in medical image and the aircraft in military image. Then, in the shadow generation phase, the target sub-image is encrypted into several shadows with hierarchy, and the hierarchies of the generated shadows in the background sub-image are equal. Last, in the reconstruction phase, the background sub-image can be reconstructed completely. The target sub-image has different quality with different number of shadows and different level of shadows. The image can be reconstructed losslessly if and only if all shadows involved. The experimental results and the comparison with similar works demonstrate the feasibility and the superiority of the proposed method. © 2022, The Authors. All rights reserved.

关键词： Image segmentation

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