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检索条件"任意字段=2nd International Conference on Art, Science, and Engineering of Programming, Programming 2018"

共 1804 条记录，以下是11-20 订阅

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Comparative Analysis of Large Language Models in Solidity Smart Contract Vulnerability Detection: Review 2

Comparative Analysis of Large Language Models in Solidity Sm...

引用

2nd international conference on Advanced Innovations in Smart Cities, ICAISC 2025

作者： Almaghthawi, Amjad Yafooz, Wael M.S. College of Computer Science and Engineering Taibah University Computer Science Department Madinah Saudi Arabia

ISBN: (纸本)9798331506995

Blockchain (BC) technology and artificial Intelligence (AI) are promising areas with potential for powerful, secure, and decentralized applications in various sectors. Also, LLMs, are essential advanced machine learning frameworks, which are now used in various applications, including customer service, chatbots, code generation, and language translation. In terms of software development, LLMs are being investigated as a potential way to create smart contracts, focusing on their ability to emulate human programming techniques. For that purpose, this study reviews the capabilities and limitations of Large Language Models (LLMs) like GPT-3.5, PaLM2, and Code Llama in detecting vulnerabilities in Solidity smart contract code. © 2025 IEEE.

关键词： Report generators

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Simplifying code translation: Custom syntax language to C language transpiler 2

Simplifying code translation: Custom syntax language to C la...

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

作者： Lalith, Pecheti Charan Goel, Sujal Kakkar, Misha Sharma, Seema Department of Computer Science and Engineering Amity University Uttar Pradesh Noida India

ISBN: (纸本)9798331530389

In today's world, programming has become a very essential skill as it is used everywhere, from creating software's for operating systems to analysis of patients' health care data in biomedical engineering. Programmers usually face a lot of difficulties to understand beginner level coding languages having low-level syntax. The proposed study "Simplifying Code Translation: Custom Syntax Language to C Language Transpiler", targets the specified problem and provides the solution in a form of transpiler that converts the newly developed custom language (made up of high-level syntax) to C language. The developed tool minimizes the overall cost incurred during the code designing process. This transpiler consists of 4 main parts: preprocessor, lexer, parser and emitter. It first starts by creating preprocessor which handles preprocessor directives such as 'define' and 'include'. This preprocessed code is then passed onto lexer which tokenizes the code. The parser is responsible for creating Abstract Syntax Tree (AST) using the tokens provided. The final AST is then transformed to C program by the emitter. Then output C code maintains proper syntactic and semantic structure of the original custom syntax language code. © 2025 IEEE.

关键词： C (programming language)

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Mechanical Design and Tension Optimization of Rigid-flexible Hybrid Robots for Container Yard Operations 2

Mechanical Design and Tension Optimization of Rigid-flexible...

引用

2nd IEEE international conference on Sensors, Electronics and Computer engineering, ICSECE 2024

作者： Yang, Liu Sen, Qian Bin, Zi School of Mechanical Engineering Hefei University of Technology Hefei China

ISBN: (纸本)9798350373646

Currently, the installation of locks on empty containers and the binding of wind straps in container yards still require manual operations. This not only reduces work efficiency, but also presents certain safety risks. To address this challenge, this paper proposes the design of a rigid-flexible hybrid robot (RFHR). Firstly, the mechanical structure of the RFHR is designed, and the operational method is briefly analyzed. Subsequently, theoretical analyses are conducted to establish kinematic and dynamic models of the RFHR. Furthermore, to address the complex and diverse tension distribution, a classification proportion minimum variance method (CPMV) is proposed to optimize tension. Finally, Closed-Form, Nonlinear programming, and the CPMV are employed to optimize tension and calculate the RFHR's workspace. The results show that the use of the CPMV can expand the controllable workspace of the robot, the research of this paper has a suitable guiding significance for the design and application of the RFHR. © 2024 IEEE.

关键词： Nonlinear programming

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Optimizing Search and Sort Algorithms: Harnessing Parallel programming for Efficient Processing of Large Datasets 2

Optimizing Search and Sort Algorithms: Harnessing Parallel P...

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2nd international conference on Automation, Computing and Renewable Systems, ICACRS 2023

作者： Maurya, Ipsit Sinha, Subhratha Suguna, M. School of Computer Science and Engineering Vellore Institute of Technology Chennai India

ISBN: (纸本)9798350340235

This research study investigates the impact of parallel programming techniques on the performance of searching and sorting algorithms. Traditional sequential algorithms have been the foundation of data processing for decades, but the increasing availability of parallel computing resources opens new possibilities for improving efficiency and reducing execution times. By leveraging parallel programming models, such as shared memory and distributed memory systems, this study explores how the parallelization of search and sort algorithms can enhance their speed and scalability. Through comprehensive experimentation and analysis, this study aims to provide valuable insights into the benefits and challenges of parallel programming in the context of searching and sorting algorithms. © 2023 IEEE.

关键词： Parallel programming Performance optimization Scalability analysis Searching algorithms Sorting algorithms

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Smart Problem-Solving Using AI Driven Resource Kit 2

Smart Problem-Solving Using AI Driven Resource Kit

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2nd IEEE international conference on Emerging Research in Computational science, ICERCS 2024

作者： Mohanraj, A. Nithyasarathi, M. Mohammed Safil, M. Ravena, S. Narthika, M. Sri Eshwar College of Engineering Computer Science and Engineering Coimbatore India

ISBN: (数字)9798331534967

ISBN: (纸本)9798331534950

SPARK (Smart Problem-Solving and AI-Driven Resource Kit) aims to revolutionize programming education by offering personalized, AI-driven problem sets that adapt to each student's skill level. Unlike existing platforms like LeetCode and CodeChef, which rely on user-driven problem selection, SPARK integrates advanced clustering algorithms, real-time adaptive feedback, and dynamic difficulty adjustments to ensure challenges are optimally tailored to individual learners. Leveraging Intelligent Tutoring Systems (ITS) and data-driven performance analysis, SPARK continuously tracks user progress, analyzes strengths and weaknesses, and adjusts recommendations to enhance learning efficiency. This approach addresses gaps in existing systems, providing actionable feedback and helping students avoid frustration from misaligned challenges. While the prototype is still under development, initial plans suggest that SPARK will improve coding fluency, engagement, and problem-solving capabilities. Future testing will evaluate its effectiveness in preparing students for technical interviews and coding competitions, positioning SPARK as an innovative and scalable solution for personalized programming education. © 2024 IEEE.

关键词： Adversarial machine learning

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Development of Programmer Testing and Question Answering APP Based on SpringBoot 2

Development of Programmer Testing and Question Answering APP...

引用

2nd IEEE international conference on Sensors, Electronics and Computer engineering, ICSECE 2024

作者： Xu, Yihan Xie, Nan Chen, Dengren Wu, Wenjie Chen, Weimin College of Computer Science and Technology Zhejiang University of Water Resources and Electric Power Hangzhou China College of Mechanical and Electrical Engineering China Jiliang University Hangzhou Hangzhou China

ISBN: (纸本)9798350373646

With the rapid development of the information age, the field of programmer programming is at the forefront of change. Programmers face the challenge of constantly learning and improving their programming skills, and sometimes they may not be able to balance improving their competitiveness during interviews. Starting from practical needs, this system designs a programmer testing and question brushing APP based on SpringBoot, which can provide rich programming question banks, interview question testing and other functions, help programmers systematically learn and practice programming knowledge, improve coding efficiency and problem-solving ability, and demonstrate excellent competitiveness in interviews. The system is divided into an APP end and a management end. The APP end displays a carousel chart and a list of questions. Users can filter and search according to their needs to find the questions they want. In addition, the APP end has also added online exam and experience sharing functions. The management end displays data reports and can manage app content and users. In this project, the backend adopts the SpringBoot framework, which realizes the functions of processing front-end requests and interacting with the database;In terms of database, MySQL is used to store user information, question data, etc., and Redis is used for data caching to improve system performance;The front-end part adopts the Vue framework for page construction, and combines Uni-app to achieve cross platform application development, providing users with a good user experience. This project combines modern technology, social reality, and user needs, providing programmers with a rich programming question bank, interview question testing, and other functions to help them systematically learn and practice programming knowledge, improve coding efficiency and problem-solving ability, and provide strong support for them to demonstrate excellent competitiveness in interviews. At the same time, it al

关键词： Efficiency

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Evaluating door quality using CAE analysis and a LabView-controlled pneumatic system 2

Evaluating door quality using CAE analysis and a LabView-con...

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2nd IEEE international conference on IoT, Communication and Automation Technology, ICICAT 2024

作者： Pramod, Sredha Beena Sai Neeraj, Kuruvella Vineetha, M. Sreedharan, Pramod Amrita Vishwa Vidyapeetham Amrita School of Engineering Department of Mechanical Engineering India SRM Institute of Science and Technology Department of DSBS India

ISBN: (纸本)9798350368109

In this paper, we have developed a door analysis program which is pneumatically mechanised controlled by Lab- View programming to analyze the performance of the door. The impact test evaluates the validity of the structure, the ease of use, and the sustainability of the door, and mimics the actual situation of the flakes. A mechanism by pneumatic system that simulates and controls the force and impact of a door being closed forcefully. LabView software automates the force required for slamming, duration and frequency of the slam test. The evaluation procedure is further enhanced by the addition of computer-aided engineering (CAE) analysis to test the strength of the doors. © 2024 IEEE.

关键词： Software testing

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2024 IEEE 2nd international conference on Power science and Technology, ICPST 2024

2024 IEEE 2nd International Conference on Power Science and ...

引用

2nd IEEE international conference on Power science and Technology, ICPST 2024

ISBN: (纸本)9798350349030

The proceedings contain 380 papers. The topics discussed include: research on single pole grounding fault characteristics of VSC-HVDC connected offshore wind power plants;an MILP formulation for the unit commitment problem based on state transitions;research on robust operation optimization of virtual power plant considering PV output uncertainty and load aggregation characteristics;optimizing energy storage system scheduling using intermediate partitioning method based on quadratic programming;research on optimal long-term operation of hydroelectric rich regions considering inter provincial transactions;a coordinated control method for direct drive permanent magnet synchronous wind turbine based on VSG control;a method for insulation fault detection in a distribution network that is not affected by ground parameter;and insulation condition assessment method of power transformer based on optimal weighting and cloud model.

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OpenAI ChatGPT as a Logical Interpreter of code 2

OpenAI ChatGPT as a Logical Interpreter of code

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2nd international conference on Edge Computing and Applications, ICECAA 2023

作者： Firdous, Faisal Bashir, Saimul Rufai, Syed Zoofa Kumar, Sanjeev INurture Education Solutions Pvt Ltd Computer Science and Engineering India Chandigarh University Computer Science and Engineering Punjab India

ISBN: (纸本)9798350347579

The recent advancements in artificial intelligence and machine learning have led to the development of powerful language models such as ChatGPT. This research paper aims to explore the capabilities of ChatGPT as a logic interpreter of code. The study was conducted using a series of tests to evaluate the ability of ChatGPT to understand and execute code written in various programming languages. The results showed that ChatGPT was able to accurately interpret and execute code in multiple programming languages, including Python, JavaScript, and Java. Moreover, the study also evaluated the ability of ChatGPT to understand and execute complex logic statements, such as conditional statements and loop constructs. The results demonstrated that ChatGPT was able to successfully execute these statements and provide correct output. © 2023 IEEE.

关键词： Python

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Enhancing Cybersecurity through Advanced Keylogging Techniques 2

Enhancing Cybersecurity through Advanced Keylogging Techniqu...

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2nd IEEE international conference on IoT, Communication and Automation Technology, ICICAT 2024

作者： Sanjay, K. Ratheesh, J.K. Johin, R.R. Krishnamoorthy, A. Vellore Institute of Technology Department of Computer Science Engineering Tamil Nadu India

ISBN: (纸本)9798350368109

As the viruses are increasing efficiently, our project aims to develop a keylogger software. The purpose of this software is to continuously monitor and assess the activities of employees, and to address security concerns that may arise for both children and professionals who can encounter and install unwanted software. Using the Java programming language, keylogger is crafted for specialized testing purposes within this project. This software is a solution for monitoring the activities of employees and children. This program is tested in a controlled environment to attain its efficiency. The outcomes suggest that the software functions effectively, indicating the areas for potential enhancement in future research endeavors. © 2024 IEEE.

关键词： Cyber attacks

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