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

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Construction of Python programming case library for artificial intelligence under the background of new engineering disciplines 24

Construction of Python programming case library for artifici...

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Proceedings of the 2024 2nd international conference on Information Education and artificial Intelligence

作者： Cheng Lv Department of Computer Science School of Electrical and Information Engineering Beijing University of Civil Engineering and Architecture Beijing China

ISBN: (纸本)9798400711732

Python language has a powerful artificial intelligence algorithm library. This study adopts a project driven approach and fully utilizes graphical visualization programming tools such as Raptor and Orange3 to assist teaching. At the same time, with the help of large models to assist programming, the cultivation of mathematical thinking, logical thinking, AI thinking, engineering thinking, and programming training are integrated into Python language course teaching in a step-by-step and progressive manner, forming a robust teaching ecosystem. Under the innovative teaching mode, students have gained sufficient practical training through graphic visualization programming, large model assisted programming, Python program writing and debugging, etc., mastering the Python language and gaining intuitive understanding of engineering project development, and enabling them to have preliminary research and development capabilities for artificial intelligence.

关键词： Advanced Case Library

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Earthwork Logistics Optimization in Road Construction Project 2nd

Earthwork Logistics Optimization in Road Construction Projec...

引用

2nd international conference on Transportation Infrastructure Projects: Conception to Execution, TIPCE 2022

作者： Bhat, Furqan A. Roy, Debopam Sahu, Prasanta K. Choudhari, Sanjay C. Bahurudeen, A. Department of Civil Engineering Indian Institute of Science Bengaluru Karnataka560012 India National Institute of Construction Management and Research Maharashtra Pune411 045 India Department of Civil Engineering Birla Institute of Technology and Science Pilani Telangana Hyderabad500078 India Indore India

ISBN: (纸本)9789819925551

Earthwork requires the movement of large quantities of soil from borrow areas to fill areas, typically for embankment and subgrade preparation. These operations contribute to a significant component of a project and deal with the balancing of cutting and filling volumes cost-effectively. Earthworks contribute about 25% of the total cost of a road project, out of which one-fourth is spent on the earthmoving operations alone. Careful planning of earthmoving operations can make considerable savings in the logistics cost due to many feasible options available to the project team. This paper aims to demonstrate the optimization technique’s ability to provide cost-efficiency in managing the logistics of raw material (earthwork) supply chain in the road project. This study focuses on planning the logistical operations of earthwork for a 14 km road construction project between two Indian towns. A large quantity of soil is needed to be procured to prepare these embankment and subgrade layers for which 14 borrow sites were identified. This paper presents the transportation problem as a linear programming formulation for the optimal planning and distribution of earthwork from borrow areas to different segments of the road (fill areas). The objective function is to minimize the total cost of transportation of soil from borrow sites for the construction of embankment and subgrade layers constrained by the total demand at construction sites and total supply at borrow sites. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Linear programming

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Blockchain and CES Based Optimal Pricing Decision for P2P Energy Transactions 2

Blockchain and CES Based Optimal Pricing Decision for P2P En...

引用

2nd international conference on Electrical engineering and Control science, IC2ECS 2022

作者： Yang, Yuqing Shi, Yang Shenzhen University WeBank Institute of FinTech Shenzhen Audencia Financial Technology InstituteShenzhen University Shenzhen518060 China

ISBN: (纸本)9798350399165

The development of distributed renewable energy has promoted the emergence of peer-To-peer (P2P) energy transaction. In this paper, we consider the decentralization of blockchain and the equitable distribution of Cloud Energy Storage (CES), construct a distributed energy trading mechanism to balance the interests of buyers and sellers, and formulates P2P energy trading as a problem of P2P trading price determination and CES capacity allocation, which is finally addressed by converting the KKT condition based on the optimal problem for all participants into a mixed integer linear programming (MILP). The solution results show that P2P energy trading through blockchain and CES can effectively reduce the transaction costs and increase the revenues of market participants. © 2022 IEEE.

关键词： Game theory

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Stable Resource Allocation Based on Multi-agent Reinforcement Learning for Edge Computing 2

Stable Resource Allocation Based on Multi-agent Reinforcemen...

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2nd international conference on Frontiers of Electronics, Information and Computation Technologies, ICFEICT 2022

作者： Jiang, Song Zhang, Xuejie School of Information Science and Engineering Yunnan University Kunming China

ISBN: (数字)9781665454766

ISBN: (纸本)9781665454766

To address the needs of distributed decision making and maintaining long-term system stability in edge computing resource allocation, we propose a distributed resource allocation framework DLMAO, and multi-agent deep reinforcement learning-based allocation algorithms QSLSQP and IDSAC deployed for cooperative and non-cooperative scenarios, respectively. Considering the stochastic nature of the environment and the mobility of terminals, the resource allocation problem is modeled as a mixed-integer nonlinear programming (MINLP) problem on sequential time series. The DLMAO framework is based on Lyapunov optimization, which decouples the programming into multiple independent MINLPs and ensures the system's long-term stability, and then QSLSQP and IDSAC are used to solve binary offloading and resource allocation problems in the hybrid action space to maximize the system's weighted data processing rate with limited resource constraints. Both algorithms allow every agent to make autonomous decisions. Experimental results demonstrate that the QSLSQP algorithm, which utilizes global information in a cooperative scenario, has the best performance, and the fully autonomous IDSAC algorithm outperforms the single-agent global optimization approach. The extremely short decision latency of both algorithms makes them appropriate to be applied in edge computing environments. © 2022 IEEE.

关键词： Resource allocation

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An Accelerated Mixed-Height Cell Circuit Legalization Method 2

An Accelerated Mixed-Height Cell Circuit Legalization Method

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2022 2nd international conference on Electronics, Circuits and Information engineering, ECIE 2022

作者： Zhou, Chencan Yang, Gengchen Shi, Quan School of Information Science and Technology Nantong University Nantong226019 China School of Transportation and Civil Engineering Nantong University Nantong226019 China School of Sciences Nantong University Nantong226019 China

In Very Large-Scale Integration Circuit (VLSI) advanced node design, the standard cells are usually designed with mixed height to meet various requirements. In this paper, benefit from the initial placement from global placement, we first align cells to the power rail type matching rows and divide multi-row-height cells into single-row-height ones. Next, quadratic programming model is constructed and converted into linear complementarity problem (LCP). Last, we choose two matrix splits and apply an accelerated modulus-based matrix splitting iteration method to solve LCP. Experimental results indicate that we achieve better performance than two published state-of the-art works. © Published under licence by IOP Publishing Ltd.

关键词： Cells

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A Review of Job Postings in India Concerning artificial Intelligence and Machine Learning Skills 2nd

A Review of Job Postings in India Concerning Artificial Inte...

引用

2nd international conference on Global Economic Revolutions, ICGER 2023

作者： Lamkuche, Hemraj Shobharam Masih, Jolly Bhagwat, Abhijit Morya, Shakti Onker, Vandana Singh, Krishna Kumar School of Computing Science and Engineering VIT Bhopal University Kothrikalan Madhya Pradesh Sehore466114 India School of Management BML Munjal University Haryana Gurugram India Symbiosis Centre for Management and Human Resource Development Pune India Sai Developers Indore India Pune India Symbiosis Centre for Information Technology Pune India

ISBN: (纸本)9783031505171

In order to effectively communicate, keep records, make decisions, and evaluate data, businesses require access to information. Recently, jobs in data science domain have skyrocketed in popularity thanks to abundant data and cheap processing power. Degree programmes in Information Technology strive to keep up with the industry's rising demand. The authors looked at a large number of job listings from different sites to determine what skills and experiences are necessary for positions involving artificial intelligence and machine learning. The author also analyses the necessary abilities for each vocation and provides an evaluation. Furthermore, they compared the locations of ML and AI head-to-head. Data engineering, exploratory data analysis, programming, statistics, the internet of things, applied mathematics, neural network architectures, language, multimedia processing, and big data were all found to be more highly valued by employers in roles requiring ML and AI. Instead, communication skills and a generalist mindset are valued more highly in AI positions. Having these clearly defined abilities could also aid in the job search and in adapting existing course material to match the growing needs of the market. © 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Machine learning

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Secret Key Generation using Genetic Algorithm for the Hybrid Blowfish Encryption and Substitution Ciphers 2

Secret Key Generation using Genetic Algorithm for the Hybrid...

引用

2nd international conference on Computer science, engineering and Applications, ICCSEA 2022

作者： Rao, Shirole Rashmi Prakash Jyothi, K. Nmam Institute of Technology Dept. of Information Science & Engineering Nitte Karnataka India Jnnce Dept. of Information Science & Engineering Shimoga Karnataka India

ISBN: (数字)9781665458344

ISBN: (纸本)9781665458344

Today security and privacy of user from unauthorized access, corruption, or theft is becoming more crucial requirement due to increased use of internet and communication networks. To protect data effectively, there is a need to know about the different security mechanisms. The proposed work presents a novel approach of cryptography discipline. In this approach data privacy is achieved using genetic algorithm, symmetric encryption and the substitution cipher. Implemented model may be used in the medical fields, military applications, forensic science, e-commerce etc. where there is a great exchange of sensitive data. Key point of the proposed method is the use of genetic algorithm for the key generation. Real time clock values are used to generate the keys. Parallel programming is achieved by having two threads for execution. Blowfish algorithm is executed by one thread and substitution cipher method is executed by another thread. Performance analysis is done by observing file accuracy and execution time of the proposed technique and the traditional blowfish technique. Result shows that blowfish technique with the substitution cipher gives better file accuracy in minimum execution time. © 2022 IEEE.

关键词： Genetic algorithms

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Development of Cyber Attack Model for Private Network 2

Development of Cyber Attack Model for Private Network

引用

2nd international conference on Interdisciplinary Cyber Physical Systems, ICPS 2022

作者： Al-Amin, Mostafa Khatun, Mirza Akhi Nasir Uddin, Mohammed Jagannath University Computer Science & Engineering Dhaka Bangladesh

ISBN: (数字)9781665470223

ISBN: (纸本)9781665470223

Cyber Attack is the most challenging issue all over the world. Nowadays, Cyber-attacks are increasing on digital systems and organizations. Innovation and utilization of new digital technology, infrastructure, connectivity, and dependency on digital strategies are transforming day by day. The cyber threat scope has extended significantly. Currently, attackers are becoming more sophisticated, well-organized, and professional in generating malware programs in Python, C programming, C++ programming, Java, SQL, PHP, JavaScript, Ruby etc. Accurate attack modeling techniques provide cyber-attack planning, which can be applied quickly during a different ongoing cyber-attack. This paper aims to create a new cyber-attack model that will extend the existing model, which provides a better understanding of the network's ***, It helps protect the company or private network infrastructure from future cyber-attacks. The final goal is to handle cyber-attacks efficacious manner using attack modeling techniques. Nowadays, many organizations, companies, authorities, industries, and individuals have faced cybercrime. To execute attacks using our model where honeypot, the firewall, DMZ and any other security are available in any environment. © 2022 IEEE.

关键词： Python

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Development of Language Feature Analysis System for Mineral engineering English Corpus Based on Web 2

Development of Language Feature Analysis System for Mineral ...

引用

2nd IEEE international conference on Computer Systems, ICCS 2022

作者： Wang, Aiqing Heilongjiang University of Technology Jixi China

ISBN: (数字)9781665460101

ISBN: (纸本)9781665460101

Because the existing software has different versions of the research results, and the research methods have no continuity and coherence, it is convenient for professionals to conduct research on language characteristics by creating new functional processes. Using the technical characteristics of the database, compared with the existing analysis system, which only has the means of comparison between corpora and corpora, it has established a mineral science and technology English corpus. The system has added the function of uploading and comparing corpora, The system has added the function of corpus and uploaded corpus, as well as the comparative analysis between uploaded corpus and uploaded corpus, and expanded the application scope of the system. For a series of problems in the system design and implementation and problems that need to be improved and optimized, the system has also proposed problems that are not well solved in terms of function and technology, as well as preliminary solutions. © 2022 IEEE.

关键词： Java programming language

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Real-Time Task Scheduling and Resource Scheduling in Fog Computing using Deep Learning Techniques 2

Real-Time Task Scheduling and Resource Scheduling in Fog Com...

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2nd IEEE international conference on Distributed Computing and Electrical Circuits and Electronics, ICDCECE 2023

作者： Ranjan, Vivek Sharma, Lalit Noida Institute of Engineering and Technology Department of Cs Greater Noida India Galgotias University Department of Computer Science and Engineering Greater Noida India

ISBN: (纸本)9798350347456

Cloud capabilities may now be accessed from the network's edge thanks to fog computing. In order to fulfill the needs of organizations that have particularly high standards for the quality of the services they provide, it is essential to choose the most suitable site for the execution of applications. So, a cloud service has to have a dependable task scheduling system in order to establish in which geographic zone a certain piece of information may be put into action. We provide two different schedulers that are able to maximize work scheduling by using the resources of cloud computing and fog computing respectively. Both planners are grounded on nonlinear mathematical programming as their primary methodology. When deciding which processors should be assigned a certain work, the schedulers do not use any rules that have already been established;rather, they take into consideration a range of characteristics, such as availability and performance, when making their choices. The recommended algorithms usually perform much better than the scheduling problem that are already in use, such as the Randomised and Round Robins approaches, without sacrificing the quality of the service provided, as shown by the numerical solution. This research aims to enhance the total effectiveness of execution of tasks in IoT systems by consciously selecting certain real-time activities to carry out at the fog layer. This is done with the intention of increasing overall efficiency. We present a way for scheduling activities in a cloud-fog computing environment that takes use of fuzzy logic to split up work between the cloud and fog layers. This approach can be found in our paper "A Technique for Creating Schedules in a Cloud-Fog Computing Environment. The approach selects appropriate processing units to carry out the designated tasks in the fog nodes that include homogeneous devices, taking into consideration the requirements of the job (such as compute, storage, and bandwidth), as well as

关键词： Fog computing

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