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Automating Legal Expertise: A rule-Based Approach to Legal reasoning systems 2

Automating Legal Expertise: A Rule-Based Approach to Legal R...

引用

2nd international conference on Computational Intelligence, Communication Technology and Networking, CICTN 2025

作者： Bhavishya Shukla, Apoorv Aggarwal, Mukul Department of IT KIET Group of Institutions Delhi NCR Ghaziabad India

ISBN: (纸本)9798331530389

This research explores the development of an expert system for legal decision-making, specifically designed for the Indian legal context, utilizing Prolog for case-based reasoning. The Indian legal system, governed by the Indian Penal Code (IPC), various constitutional laws, and legal precedents, relies heavily on judicial decisions to inform future rulings. Prolog, a logic programming language with rule-based inference capabilities, presents an effective solution for automating such legal reasoning. In this paper, we construct an expert system that processes legal facts, applies relevant sections of Indian laws, and matches current legal cases to relevant prior judgments to deliver case-based legal decisions. The system incorporates key provisions from the IPC, such as sections dealing with theft, criminal offenses, and contract disputes, using legal precedents from landmark Indian cases to demonstrate its applicability. This research highlights the system's effectiveness in handling rule-based legal reasoning while discussing the challenges posed by ambiguous legal language, scalability, and real-world complexities. We conclude by proposing enhancements, such as integrating machine learning techniques to refine case interpretation and automate more complex aspects of the Indian judicial process. © 2025 IEEE.

关键词： Case based reasoning

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A Unified Object Detection Framework for Front Vehicle Behavior Prediction using YOLOv5s and Ontology reasoning 2

A Unified Object Detection Framework for Front Vehicle Behav...

引用

2nd international conference on Computational Intelligence, Communication Technology and Networking, CICTN 2025

作者： Saravanan, T. Singh, Youddha Beer Bengaluru India Dept. of CSE Galgotias College of Engineering and Technology Greater Noida India

ISBN: (纸本)9798331530389

In autonomous driving and advanced driver-assistance systems (ADAS), safety and efficiency rely heavily on accurately forecasting front vehicle behavior. This study presents a unified object detection framework that combines ontology-based reasoning with YOLOv5s, a compact and high-performance object recognition model, to improve the prediction of front vehicle behavior. The YOLOv5s model ensures real-time detection of vehicles and traffic objects while providing crucial spatial and contextual information. Complementing this, ontological reasoning leverages domain knowledge-such as traffic laws, vehicle interactions, and environmental factors-to infer high-level behavioral patterns, including lane changes, braking, and turning. By integrating ontological reasoning with the speed and precision of YOLOv5s, the proposed system effectively analyzes vehicle behaviors and predicts potential hazards. Evaluations on real-world driving datasets demonstrate that this unified approach significantly enhances behavior prediction accuracy compared to standalone detection methods. This fusion of machine learning and symbolic reasoning enables autonomous driving algorithms to make more reliable and anticipatory decisions, contributing to safer and more efficient driving systems. © 2025 IEEE.

关键词： Advanced driver assistance systems

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Programming and Development of web Automation Application Platform Based on Django 24

Programming and Development of Web Automation Application Pl...

引用

2nd international conference on Artificial Intelligence, systems and Network Security, AISNS 2024

作者： Du, Juan Shandong Institute of Commerce and Technology Shandong Jinan China

ISBN: (纸本)9798400711237

To improve the execution efficiency and performance of web automation tasks, an efficient platform based on the Django framework was built. It supports various web automation tasks, including website content capture, automatic form filling, data monitoring, and automated test execution, and is widely used in e-commerce, finance, IT operations, and more. The platform has been successfully applied in e-commerce inventory management, financial transaction monitoring, and automated testing of enterprise websites. The system adopts front-end/back-end separation and asynchronous task processing, enhancing concurrent processing and reliability. Performance tests show that with 1000 concurrent users, the platform achieves an average response time of 180ms, a throughput of 850 requests/second, and an error rate below 0.3%. Resource utilization is optimal, with peak CPU usage at 75% and maximum memory usage at 68%, demonstrating efficient resource management. For user experience, the platform uses webSocket for real-time feedback and dynamic task monitoring, improving task processing adaptability. © 2024 Copyright held by the owner/author(s).

关键词： Electronic commerce

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2nd international Workshop on Empirical Methodologies for Research in Enterprise Architecture and Service-oriented Computing, iRESEARCH 2024, 2nd Workshop on the Modelling and Implementation of Digital Twins for Complex systems, MIDas4CS 2024, Doctoral Consortium, Joint CBI-EDOC Forum and Other Joint CBI-EDOC Events, held in conjunction with 28th international conference on Enterprise Design, Operations, and Computing, EDOC 2024

2nd International Workshop on Empirical Methodologies for Re...

引用

2nd international Workshop on Empirical Methodologies for Research in Enterprise Architecture and Service-oriented Computing, iRESEARCH 2024, 2nd Workshop on the Modelling and Implementation of Digital Twins for Complex systems, MIDas4CS 2024, Doctoral Consortium, Joint CBI-EDOC Forum and Other Joint CBI-EDOC Events, held in conjunction with 28th international conference on Enterprise Design, Operations, and Computing, EDOC 2024

ISBN: (纸本)9783031790584

The proceedings contain 24 papers. The special focus in this conference is on Empirical Methodologies for Research in Enterprise Architecture and Service-oriented Computing. The topics include: Spotting the Weasel at Work: Mining Inappropriate Behavior Patterns in Event Logs;trustOps: Continuously Building Trustworthy Software;unraveling the Never-Ending Story of Lifecycles and Vitalizing Processes;ontological Analysis of Advanced Capability Modeling in ArchiMate: A First Step Towards Language Revision;an Enterprise Architecture Approach to Temporary and Permanent Governance Continuum;On the Alignment of DAO with Socio-political Principles of Decentralised Governance Using TOGAF and ArchiMate;Introducing Variables to Data Objects in BPMN;conceptualizing Change Activities in Process Mining;Enhancing API Labelling with BERT and GPT: An Exploratory Study;a Conceptual Framework for Resource Analysis in Process Mining;revision of a Smart Factory Software Architecture from Monolith to Microservices;Scaling AI Adoption in Finance: Modelling Framework and Implementation Study;enhancing Observability: Real-Time Application Health Checks;a web-Based Modelling Tool for Object-Centric Business Processes;UML-MX©: Boosting Power of Object-Oriented Modeling and Enriching User Experience;the Simplified Platform, Cases 2024;Fundamentals of Conceptual Modeling: A "Mini-Dagstuhl Seminar at CBI 2024";towards Resilient Construction Logistics with Digital Twins;towards a Data Mesh Reference Architecture;towards a Digital Twin System for Human Crowd Motion Prediction;a Digital Process Twin Conceptual Architecture for What-If Process Analysis;reference Architecture of Cybersecurity Digital Twin.

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Graph Based Automatic Text Summarization for Categorization of BBC News Articles 2

Graph Based Automatic Text Summarization for Categorization ...

引用

2nd international conference on Computational Intelligence, Communication Technology and Networking, CICTN 2025

作者： Singh, Pratik Pandey, Shivani Das Lodhi, Abhinav Namdev, Sonal Mishra, Pradeep Kumar Pandey, Sanjay Kr. Department of Information Technology ABES Engineering College UP Ghaziabad India Department of CSE-DS MIET UP Meerut India Department of CSE-DS RKGIT UP Ghaziabad India Department of CSE MIT UP Meerut India Department of CSE United College of Engineering and Research UP Prayagraj India

ISBN: (纸本)9798331530389

Large number of users use world wide web, news on news channels, weather reports, blogs, online available research works, online social media platforms and government reports, magazines to extract the useful information but due to enormous size of textual content in Petabytes or Zettabytes it is unfeasible to manually summaries the big data and extract the required information. Thus, the use of computerized text summarization is becoming more widespread. Research on text summarization has been conducted extensively in the field of natural language processing (NLP). There are numerous methods for automatic text summarization. Using the BBC News Summary dataset, this research employs a popular technique called graph-based extractive text summarization. It might be difficult to assess a text summary's quality;BLEU measurements and ROGUE variables are employed in this process. © 2025 IEEE.

关键词： Natural language processing systems

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A Game-Based Semantics for the Probabilistic Intermediate Verification Language HeyVL 2nd

A Game-Based Semantics for the Probabilistic Intermediate ...

引用

2nd international conference on Bridging the Gap Between AI and Reality, AISoLA 2024

作者： Matheja, Christoph Technical University of Denmark Kgs. Lyngby Denmark

ISBN: (纸本)9783031754333

HeyVL is a recently introduced intermediate verification language for prototyping and automating proof rules for reasoning about quantitative properties of probabilistic programs, such as expected runtimes, failure probabilities, or space usage. While HeyVL and its accompanying verification infrastructure caesar have successfully been applied to automate a variety of verification techniques from the probabilistic program verification literature, the original language lacked a formal "ground truth" in terms of a small-step operational semantics that enables an intuitive reading of HeyVL programs. In this paper, we define an operational semantics for a cleaned-up version of HeyVL in terms of refereed stochastic games, a novel extension of simple stochastic games in which a referee may perform quantitative reasoning about the expected outcome of sub-games and give one player an advantage if those sub-game are outside of certain boundaries. Apart from improving the intuition and ergonomics of the HeyVL language, our operational semantics may also pave the way for the development of alternative verification engines that leverage, for example, existing probabilistic model checking tools. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Stochastic systems

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2nd international conference on Security and Information Technologies with AI, Internet Computing and Big-data Applications, SITAIBA 2023

2nd International Conference on Security and Information Tec...

引用

2nd international conference on Security and Information Technologies with AI, Internet Computing and Big-data Applications, SITAIBA 2023

ISBN: (纸本)9789819777853

The proceedings contain 46 papers. The special focus in this conference is on Security and Information Technologies with AI. The topics include: Authentication of Image Fidelity in Watermarking-QR-Code Approving Copyright systems;a Zero-Watermarking Image Scheme in Normalized Cross-Correlation with Robust Copyright Protections;a Novel Approach for Detecting and Analyzing Cyber-Attacks in Cyber-Physical systems;white-Box Penetration Testing for Hash Collision Attack on web Applications;towards Zero Trust for Financial Sectors: A Proposed Framework on Trust Evaluation;FiT-DPKI: Decentralized Public Key Infrastructure with Flexibility and Transparency for IoT Networks;Revolutionizing Healthcare: Case Studies of AI Algorithms Transforming the Field of Medicine;analysis and Detection of Abnormal Transactions on Ethereum;feasibility Analysis Study on Constructing a Grid Intrusion Detection System Using Semi-supervised Learning Models;Securing NLP systems: A Comprehensive AI-Based Approach;A New Scheme Modeling Gym Membership Transactions with NFT systems;A Text to Human-Like Speech Using Tacotron-Based TTS Model;A Novel Malware Classification Using CNN-SVM Deep Learning Method Based on Transfer Learning Architecture;enhancing Project Programming Hour Prediction with Regression Analysis Techniques—A Case Study of Company D;a New Traceable One-Time Address Scheme Secure Against Privilege Escalation Attack;An Object-Based Multi-level Authentication Framework for AR e-Book;a Door Lock System Based on Visual Cryptography;Automatic APT Attack Reconstruction Supporting Lateral Movement;using Open-Source Intelligence to Archive Criminal Organizations;FIDO-Based Access Control Mechanism in Named Data Networking;empirical Approach to a Fine-Tuning Using Forgetting in Large Language Models;automatic Wound Segmentation with Deep Convolutional Neural Networks;Prediction of the Prevalence of COVID-19 Using Epidemic Differential Equations and Deep Learning Network.

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White-Box Penetration Testing for Hash Collision Attack on web Applications 2nd

White-Box Penetration Testing for Hash Collision Attack on W...

引用

2nd international conference on Security and Information Technologies with AI, Internet Computing and Big-data Applications, SITAIBA 2023

作者： Chou, Chao-Lung Chiang, Hung-Wei Department of Information Engineering and Computer Science Feng Chia University Taichung Taiwan Department of Computer Science and Information Engineering Chung Cheng Institute of Technology National Defense University Taichung Taiwan

ISBN: (纸本)9789819777853

web applications have become essential tools for communication, commerce, and information dissemination in an era where the internet is pivotal in our daily lives. However, as the digital landscape continues to evolve, so do the threats that target web applications. web application security ensures the integrity, availability, and confidentiality of online services. Hash collisions, though often considered a theoretical concern, can threaten web application security under specific circumstances. A hash collision occurs when two different inputs produce the same hash value when hashed. This paper utilizes a white-box penetration testing approach specifically targeting hash collision vulnerabilities in web applications. Using PHP as our example language, we create an experimental website to demonstrate privilege escalation by exploiting hash collision vulnerabilities. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Black-box testing

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Automating Legal Expertise: A rule-Based Approach to Legal reasoning systems

Automating Legal Expertise: A Rule-Based Approach to Legal R...

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Computational Intelligence, Communication Technology and Networking (CICTN), international conference on

作者： Bhavishya Bhavishya Apoorv Shukla Mukul Aggarwal Department of IT KIET Group of Institutions Delhi NCR Ghaziabad India

ISBN: (数字)9798331530389

ISBN: (纸本)9798331530396

This research explores the development of an expert system for legal decision-making, specifically designed for the Indian legal context, utilizing Prolog for case-based reasoning. The Indian legal system, governed by the Indian Penal Code (IPC), various constitutional laws, and legal precedents, relies heavily on judicial decisions to inform future rulings. Prolog, a logic programming language with rule-based inference capabilities, presents an effective solution for automating such legal reasoning. In this paper, we construct an expert system that processes legal facts, applies relevant sections of Indian laws, and matches current legal cases to relevant prior judgments to deliver case-based legal decisions. The system incorporates key provisions from the IPC, such as sections dealing with theft, criminal offenses, and contract disputes, using legal precedents from landmark Indian cases to demonstrate its applicability. This research highlights the system’s effectiveness in handling rule-based legal reasoning while discussing the challenges posed by ambiguous legal language, scalability, and real-world complexities. We conclude by proposing enhancements, such as integrating machine learning techniques to refine case interpretation and automate more complex aspects of the Indian judicial process.

关键词： Codes Law Logic programming Scalability Decision making Machine learning Cognition Expert systems Contracts Computational intelligence

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Knowledge-Defined Internet of Things Architecture for Cloud-Edge Collaborative Industrial Monitoring 24

Knowledge-Defined Internet of Things Architecture for Cloud-...

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2nd international conference on Frontiers of Intelligent Manufacturing and Automation, CFIMA 2024

作者： Zhou, Hongyu Xing, Fangyuan Tong, Fei Wang, Mufeng Zhang, Yan Yang, Shuaifeng Southeast University Nanjing China China Industrial Control Systems Cyber Emergency Response Team Beijing China

ISBN: (纸本)9798400710681

The Industrial Internet of Things (IIoT) has become a crucial technology driving the transformation of manufacturing towards intelligence. Traditional industrial networks primarily focus on data collection, whereas emerging IIoT emphasizes intelligent management and optimized control utilizing advanced technologies such as big data and artificial intelligence. With the more complex application scenarios, sole reliance on cloud computing fails to meet requirements for low latency and high security, thus leading to a trend towards edge-cloud collaborative computing. Knowledge-Defined Networking (KDN) introduces a knowledge plane above the control and data planes, which utilizes machine learning and deep learning methods to extract and analyze data and can guide the control plane in updating and optimizing network management and control decisions. This architecture enables the system to understand domain knowledge, supports knowledge-based reasoning decisions, and facilitates higher-level intelligent applications. This paper proposes a Knowledge-Defined Edge-Cloud Collaborative IoT architecture tailored for industrial monitoring scenarios. Therein, the edge is responsible for initial real-time data processing, while the cloud handles large-scale data storage and complex analytics. Knowledge definition are introduced into the entire framework and enables a comprehensive understanding of equipment status through historical data analysis and real-time feedback, which facilitates predictive issue identification and optimization of production plans. The enabling technologies that can implement the functions of the knowledge-based cloud, knowledge-based edge, knowledge-based end, and interfaces are summarized, which are expected to provide guidance for future IIoT. © 2024 Copyright held by the owner/author(s).

关键词： Cloud computing architecture

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