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检索条件"任意字段=19th International Conference on Control Systems and Computer Science"

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VeriCombTest: Automated Test Case Generation Technique Using a Combination of Verification and Combinatorial Testing 18

VeriCombTest: Automated Test Case Generation Technique Using...

引用

18th international conference on Evaluation of Novel Approaches to Software Engineering, ENASE 2023

作者： Godboley, Sangharatna Department of Computer Science and Engineering National Institute of Technology Telangana Warangal India

ISBN: (纸本)9789897586477

We propose VeriCombTest which is the combination of Verification and Combinatorial Testing. We experimented with 38 C-Programs from the RERS challenge repository. Verification (CBMC) produced 940 test cases and Combinatorial Testing (PICT) populated a total of 42053 test cases. the good point is that for 40 programs, PICT consumed only 2.6 Minutes to populate the test inputs, however, CBMC which is a Static Symbolic Executor consumed 546.99 Minutes to generate the test inputs. We performed mutation analysis for this work. VeriCombTest has 355 extra killed mutants as compared to the baseline. VeriCombTest is a fully automated tool. Copyright © 2023 by SCITEPRESS - science and Technology Publications, Lda. Under CC license (CC BY-NC-ND 4.0)

关键词： C (programming language)

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Re-evaluation in Dynamic Tree-Search with Backtracking from Known Solutions 19thth

Re-evaluation in Dynamic Tree-Search with Backtracking fro...

引用

19th international conference on computer Aided systems theory, EUROCAST 2024

作者： Fleck, Philipp Neuhauser, Philipp Leitner, Sebastian Wagner, Stefan Heuristic and Evolutionary Algorithms Laboratory University of Applied Sciences Upper Austria Wels Austria Josef Ressel Center for Adaptive Optimization in Dynamic Environments University of Applied Sciences Upper Austria Wels Austria

ISBN: (纸本)9783031829512

In dynamic environments, solutions may become invalid during or after the execution of an optimization algorithm due to changing circumstances, requiring the adaptation or creation of new solutions. this paper uses the hot-storage area of a steel processing plant as a dynamic environment, where the optimization task involves creating lot-assignments of steel slabs for efficient transportation. the lot-assignment problem is represented as a search tree, where slabs are gradually assigned to new or existing lots as the tree is traversed. Unforeseen events in the dynamic hot-storage area can render existing lot-assignments invalid or make them less effective. Instead of completely re-running a tree-search algorithm in response to such dynamic events, we propose a backtracking strategy that uses information from outdated solutions. this strategy involves constructing a backtracking chain to check the validity of the lot-assignments used to construct the outdated solution and to identifying potential restart points for partial search spaces. through experiments, we show the performance and reliability of various tree-search algorithms under different runtime budgets, with and without backtracking-based restart strategies. Our results strongly suggest that using information from a previous solution significantly enhances algorithm performance to identify valid solutions compared to a complete rerun. Additionally, using backtracking within the same runtime budget as a complete rerun can also improve solution quality. © the Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Budget control

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Smart Bus Ticketing System with RFID Using IoT 6

Smart Bus Ticketing System with RFID Using IoT

引用

6th international conference on Cybernetics, Cognition and Machine Learning Applications, ICCCMLA 2024

作者： Balla, Vijay Kumar Nandibhatla, Haritha Santhoshi, Guna Krishna, A.Vijaya Mohan, M. Purushotham, Pidugu Gnits Department of Information Technology Hyderabad India Vnr Vignana Jyothi Institute of Engineering and Technology CSE- Aiml & IoT Department India Gnits Department of Computer Science & Technology Hyderabad India

ISBN: (纸本)9798331505790

this paper proposes the design and implementation of a comprehensive Smart Bus Ticketing System leveraging Radio-Frequency Identification (RFID), Global System for Mobile Communications (GSM), Global Positioning System (GPS), and Internet of things (IoT) technologies. the integration of these advanced technologies aims to revolutionize the traditional bus fare collection process by introducing a seamless, efficient and transparent system. In this system, RFID tags or cards are used to enable contactless fare payment, enhancing passenger convenience and reducing boarding time. By leveraging RFID and GSM technologies, the system introduces a secure, efficient, and modern approach to bus fare collection that aligns with the demands of contemporary urban transportation. Additionally, GPS technology enables accurate tracking of entry and exit locations. the IoT framework enables seamless connectivity between onboard devices, backend servers, and central control centres. IoT-enabled ticketing devices equipped with RFID readers can communicate with onboard sensors and controllers in enchancing the efficiency of the system. through this integrated approach, the proposed Smart Bus Ticketing System offers a holistic solution to modernize public transportation systems, improve the operational efficiency, and enhance passenger experience in Bus Transportation. © 2024 IEEE.

关键词： Radio frequency identification (RFID)

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Leveraging GPT-4 Capabilities for Developing Context-Aware, Personalized Chatbot Interfaces in E-commerce Customer Support systems 10

Leveraging GPT-4 Capabilities for Developing Context-Aware, ...

引用

10th international conference on Communication and Signal Processing, ICCSP 2024

作者： Santosh, Kathari Kholmukhamedov, Timur Kumar, M. Sandeep Aarif, Mohd Muda, Iskandar Bala, B Kiran Cmr Institute of Technology Bengaluru Department of Mba Bengaluru India Turin Polytechnic University In Tashkent Automatic Control and Computer Engineering Department Tashkent Uzbekistan Publishing Global Research Network Noida India Universitas Sumatera Utara Medan Indonesia K.Ramakrishnan College of Engineering Department of Artificial Intelligence and Data Science Trichy India

ISBN: (纸本)9798350353068

In the realm of e-commerce customer support, the adoption of chatbots is on the rise, driven by a quest for heightened user interactions. this study introduces an inventive approach harnessing the advanced capabilities of GPT-4 to construct chatbot interfaces that are both context-aware and personalized. the main aim of this work is to revolutionize ecommerce customer support by developing intelligent and adaptable chatbot interfaces that are context-aware, personalized, and significantly enhance user experiences. Existing chatbot models struggle with context retention and personalization, limiting effectiveness in dynamic e-commerce environments despite the promise of automation. this innovative approach leverages GPT-4's robust language processing, integrating it with user profiling systems for personalized responses grounded in user preferences and historical interactions. the method gives, diverse e-commerce dataset undergoes collection and pre-processing, followed by fine-tuning GPT-4 with an emphasis on context-awareness and personalized responses. the model is seamlessly integrated with e-commerce backend systems for real-time information, multimodal input support caters to varied user preferences. Results exhibit a significant 95% accuracy improvement, affirming the chatbot's enhanced ability to comprehend user queries. By integrating personalization and advanced context retention, this study enhances user engagement, paving way for revolutionary intelligent and adaptable chatbot interfaces in ecommerce customer support. © 2024 IEEE.

关键词： Electronic commerce

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Network Attack Tracking Method for Digital Substation Power Industry control System Based on Apriori Algorithm 9

Network Attack Tracking Method for Digital Substation Power ...

引用

9th international conference on computer and Communications, ICCC 2023

作者： Ge, Minhui Zhang, Daojuan Qu, Gang Wu, Tianqi Han, Longxi Wu, Hongbin East Branch of State Grid Corporation of China Shanghai Shi China State Grid Smart Grid Research Institute Co. Ltd Beijing China

ISBN: (纸本)9798350317251

the safety of power system is directly related to people's lives, property and social stability, and even directly affects national security. Because of its importance, power system can easily become the main target of cyber attacks and cyber wars. Constructing the tracing method of power system network attack based on Apriori algorithm is convenient to protect the network assets of substation power industry control system and resist the increasingly hidden network attack. Snort, as a probe for traffic collection and analysis, uses the attack detection of existing and partially customized packets to be detected in official website to extract all kinds of attack information. Snort detection method decomposes the obtained data packets according to the key information of the rules and matches them with all the rules in the rule base respectively. If they meet any rules, it is an attack. the Apriori algorithm is used to mine the detected attacks, and the correlation between them is mined in the data through association rules, and the attacks can be traced back according to the correlation. © 2023 IEEE.

关键词： control systems

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Efficient Pseudo-Random Number Generator Using Number-theoretic Transform 10th

Efficient Pseudo-Random Number Generator Using Number-Theore...

引用

10th international conference on Innovations in computer science and Engineering, ICICSE 2022

作者： Pandit, Anupama Arjun Kumar, Atul Mishra, Arun Computer Science and Engineering Defence Institute of Advanced Technology Pune India

ISBN: (纸本)9789811974540

In the finite field of integers, the number theoretic transform (NTT) is a specific variant of the discrete fourier transform (DFT). NTT is the essential method that permits efficient computing. therefore, NTT could be used in the construction of lattice-based pseudo-random number generator. To construct the lattice-based pseudo-random number generator (PRNG), higher degree of polynomial multiplication is required. therefore, NTT could be used for fast multiplication as it performs point-wise multiplication. In this paper, we would examine the algorithmic properties and performance of NTT for fast multiplication by implementing pseudo-random number generator using NTT. © 2023, the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Discrete Fourier transforms

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A Graph-Based Strategy for Intrusion Detection in Connected Vehicles 1

引用

8th international conference on Information and Communication Technology for Competitive Strategies, ICTCS 2023

作者： Sreelekshmi, M.S. Aji, S. Department of Computer Science University of Kerala Thiruvananthapuram India

ISBN: (数字)9789819707447

ISBN: (纸本)9789819707430

the CAN bus is the backbone for communication between various electronic control units (ECUs) in modern connected vehicles. However, the increasing connectivity and complexity of automotive systems have also introduced new security challenges, making the CAN bus vulnerable to intrusions and attacks. this paper proposes a method for detecting intrusions in the CAN bus using bidirected graphs. this study’s primary focus is building a mathematical model to identify anomalies using novel graph-based parameters like degree variance. We have chosen the dataset Car Hacking: Attack & Defense Challenge 2020 to test our proposed approach. We have achieved better accuracy in detecting attacks like DoS, fuzzy, spoofing, and replay. the proposed method performs well compared to existing techniques, notably when dealing with replay attacks, with the most remarkable accuracy of 98.38%. this method can detect and mitigate potential intrusions, ensuring connected vehicles’ safe and secure operation. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Intrusion detection

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Measuring Subjective Image Quality using Machine Learning Techniques 15

Measuring Subjective Image Quality using Machine Learning Te...

引用

15th international conference on Computing Communication and Networking Technologies, ICCCNT 2024

作者： Garg, Anvesha Anandhasilambarasan, D. Pushparajesh, V. Ahluwalia, Gunveen Mali, Manisha P. Yuvaraj, S. Quantum University Research Center Quantum University India Department of Computer Science Engineering Karpagam Academy of Higher Education Coimbatore641021 India Karnataka Bangalore India Centre of Research Impact and Outcome Chitkara University Punjab Rajpura140417 India Vishwakarma Institute of Technology Pune India Department of Electronics and Communication Engineering Prince Shri Venkateshwara Padmavathy Engineering College Chennai127 India

ISBN: (纸本)9798350370249

this technical abstract discusses the use of gadget mastering strategies to degree the subjective first-class of digital pictures. Traditionally, rating subjective picture satisfaction has required manual intervention by means of human observers. However, gadget studying may be used to measure photographs in a speedy and goal manner. Such structures may be educated to assign rankings based totally on person possibilities, image content, digicam parameters, or any combination of those. the utility of gadget getting-to-know strategies to purchasers and photo satisfaction scores can be useful to both producers and consumers. For manufacturers, gadget getting-to-know structures offer the ability to quickly stumble on and greatly lessen exceptional control problems. For purchasers, device learning systems can supply extra accurate, varied, and in-intensity rankings of products;this may cause greater knowledgeable purchasing choices and higher outcomes. ©2024 IEEE.

关键词： Contrastive Learning

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Enhanced Supply Chain Management using IoT based Predictive Analysis 15

Enhanced Supply Chain Management using IoT based Predictive ...

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15th international conference on Computing Communication and Networking Technologies, ICCCNT 2024

作者： Jagadeesan, Arunkumar Gowrishankar, Vigneshwaran Yesodha, Karthik Raj Kumar Yuvaraj, N. PLM Engineering Campfire Interactive Inc. 2211 Old Earhart Rd Suite 175 Ann ArborMI48105 United States Advanced Manufacturing Canoo 19951 Mariner Ave TorranceCA90503 United States Supplier Quality and Planning Caterpillar Inc. 3000 N St DecaturIL62526 United States Sri Shakthi Institute of Engineering & Technology Department of Computer Science and Engineering Tamil Nadu Coimbatore India

ISBN: (纸本)9798350370249

Predictive analytics and automation with net of factors (IoT) is an rising fashion in supply chain management as the generation permits for price-efficient operations and permits organizations to higher reveal and control their deliver chain systems. the combination of predictive analytics algorithms and automatic structures can offer insights into deliver chain operations and expect adjustments in patron demands and allow agencies to better plan and put together for the future. IoT can also be used to screen supply chain techniques, become aware of regions for development and proactively manipulate potential disruptions. By means of utilizing IoT-based analytics and automation, advantages which includes increased visibility in supply chain operations, elevated customer satisfaction, and price-effective deliver chain processes may be done. Furthermore, predictive analytics and automation also can help improve choice-making with actual-time records insights and make certain that everyone tactics are being optimized for optimum performance. © 2024 IEEE.

关键词： Adjustments Development Disruptions Elevated Processes Visibility

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Agent-Based Attribution Selection for Communicable Disease Surveillance Model Using Analytic Hierarchy Process

Agent-Based Attribution Selection for Communicable Disease S...

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2023 international conference on Self Sustainable Artificial Intelligence systems, ICSSAS 2023

作者： Rahman, A. Abdul Koneru Lakshmaiah Education Foundation Department of Computer Science and Engineering AP Vaddeswaram India

ISBN: (纸本)9798350300857

the Communicable diseases are becoming major issues in India due to economic, social and infrastructures. In particular, the statistics of 58% death in India between age group from 5 to 14 years are due to Communicable diseases. In Recently years almost all countries lost a considerable amount of their people due to the pandemic of COVID'19. A report of World Health Organization stated that, from 15th Feb'20 to 13th June'20 about 30,503,166 people were affected and 4,20,043(1% of total population) lost their lives. there are huge losses with respect economically and socially due to the recent communicable disease so called Covid'19, not just because it was new, but also because of failure to predict and manage the pandemic. this study proposes a design of an agent-based model for communicable diseases to effectively select primary symptoms of communicable diseases with its variants, since attributes selection is the core part of any analytics system. the consideration of all attributes can lead to waste of time, storage, and cost, as well as selection of inappropriate and inadequate attributes also leads to the results as inaccuracy. So, the proposed an agent -based model to select primary attributes of communicable diseases with any variants using Analytic Hierarchy Process, which will be used on collected data for prediction analysis instead of all attributes in the data set. © 2023 IEEE.

关键词： Decision making

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