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检索条件"任意字段=5th International Conference on the Art, Science, and Engineering of Programming, Programming 2021"

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Design and Implement a Web-Based Learning System to Provide E-learning in the University of Basrah During Crises

Design and Implement a Web-Based Learning System to Provide ...

引用

international conference on engineering Technology and their Applications (IICETA)

作者： Zainab Hameed Alfayez Iman Mohsin Hassan Computer information system College of computer science and information system University of Basrah Basrah Iraq

ISBN: (数字)9781665472159

ISBN: (纸本)9781665472166

In response to the COVID-19 crisis and government strategies of quarantine, bans on gatherings, or even a complete lockdown, many schools and universities transferred from traditional face-to-face learning to online remote learning. this increased the need to develop web- or mobile-based applications to support e-learning requirements. Moreover, the need for providing academic institutions with platforms that manage e-lectures and e-exams during the pandemic or any other crises like wars and *** paper provides a web-based learning system that controls course content in the University of Basrah in Iraq. the proposed e-learning system has several features, such as playing video lectures beside text lectures, providing online quizzes, and creating e-certificates. the system was developed according to the agile software development method with the Scrum technique and using HTML, CSS, PHP programming language, with MySQL for its database. In addition, the suggested e-learning system includes three authorized users: administrator, teacher, and students. Finally, an evaluation session was conducted to measure the usability and effectiveness of the system. the results showed that incorporating video lectures and e-quizzes into the e-learning system enhanced students’ engagement and improved the interaction between students and teachers during the pandemic.

关键词： COVID-19 Knowledge engineering Electronic learning Pandemics Government Webinars Streaming media

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Dynamic layout and optimization design of industrial safety fence

Dynamic layout and optimization design of industrial safety ...

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2017 5th international conference on Mechatronics,Materials,Chemistry and Computer engineering(ICMMCCE 2017)

作者： Chen Chen Peng Huang Xiaoli Liu YANZHOU COAL MINING CO. LTD The high-tech zone street agency of jining School of Mechanical & Automotive Engineering Qilu University of Technology

For achieving the standardized management of safety protective fence of mechanical equipment, regulating the arrangement of fence sizes, and solving the problems of waste materials of site fences and difficulties in trepanning fences, an optimized designing new program for the arrangement and trepanning of safety protective fences has been proposed. First of all, according to the mathematical model of optimization design clear fence stochastic dynamic layout constraints, in view of the objective function to achieve fence sorting simulation modeling. then, based on the iterative random combination algorithm, combined with high-level language c++, using object-oriented programming ideas, design a dynamic industrial protective enclosures decorate a process framework, finally, the algorithm introduced enterprise ERP system, the algorithm in the Volvo, faw Volkswagen robot application in the design of press line protection fence showed that after optimization design product costs an average of more than 10%;Length of 700 mm, 800 mm, 1000 mm fencing three kinds of specifications size error rate control within 1%.

关键词： Protect fence Reasonable layout Iterative method optimal choice

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Design, synthesis and implementation of 8-bit accumulator using FPGA Board 23

Design, synthesis and implementation of 8-bit accumulator us...

引用

Proceedings of the 5th international conference on Information Management & Machine Intelligence

作者： Suman Lata Tripathi School of Electronics and Electrical Engineering Lovely Professional University India and Department of Computer Science Nottingham Trent University UK

ISBN: (纸本)9798400709418

Accumulators are frequently used in digital circuits to store and process bi-nary data. the functionality of the accumulator is identical to a counter. In-stead of incrementing the counter value by a constant, the accumulator adds the input value to the current value. Using Verilog programming, an 8-bit accumulator was designed. In this work, to implement an 8-bit accumulator including functions: multiplication, division, and modulus. From the con-ducted simulation, the operations of 8-bit accumulator performs different operations based on different modes of operations along with displaying the results on FPGA. the Verilog HDL is used to design and simulate accumulator on Xilinx Vivado and generated bitstream files are uploaded to Nexys-4 artix-7 FPGA board to show the result through the built-in seven-segment display. A Verilog top module is used to map the inputs parameters to the available onboard switches and push buttons to perform different operations and saving the results on accumulator. the internal clock of the board is 450 MHz and reduced to 10 Hz for an 8-bit accumulator and 10kHz for a seven-segment display using a clock divider.

关键词： Vivado

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Malicious Packages Lurking in User-Friendly Python Package Index

Malicious Packages Lurking in User-Friendly Python Package I...

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IEEE international conference on Trust, Security and Privacy in Computing and Communications (TrustCom)

作者： Genpei Liang Xiangyu Zhou Qingyu Wang Yutong Du Cheng Huang School of Cyber Science and Engineering Sichuan University Chengdu China

ISBN: (纸本)9781665416597

Python has gradually become one of the most important programming languages through artificial intelligence's development. PIP, a package management tool for Python, offers one-click installation, allowing developers to utilize other people's code to speed up development. However, any registered member can easily upload packages to the repository that stores third-party packages. this functionality is used by attackers to poison the package index, i.e., to publish enormous malicious pip packages for installing backdoor, gathering information, etc. To know the situation of third-party packages in the Python community ecosystem, we establish the criteria for judging packages' suspicious or malicious behavior by analyzing the code logic in disclosed malicious packages. With the gained findings, we propose and implement Pip Poisoning Detector (PPD), an approach based on anomaly detection. PPD evaluated 228,723 packages, and after human inspection, we found 63 malicious and 238 suspicious ones among the output 5,699 results. the experimental results prove that our approach is effective and can significantly reduce review workload by 97.51%.

关键词： Privacy Codes Toxicology Ecosystems Manuals Feature extraction Indexes

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Analysis of the Regulatory Framework and the System of Measures Aimed at the Development of Innovative Activities in the Vologda Region 4

Analysis of the Regulatory Framework and the System of Measu...

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4th international Scientific and Practical conference on Digital Economy and Finances, DEFIN 2021

作者： Makoveev, V.N. Barabanov, A.S. Ermilova, M.I. Shcherbakov, V.A. Akhmetova, I.G. Department of Innovation Management and Project Management Candidate of Economic Sciences Vologda State University Russia Candidate of Economic Sciences Vologda Branch of the Russian Presidential Academy of National Economy and Public Administration Russia Department of Financial Management Plekhanov Russian University of Economics Russia Department of State Legal and Criminal Law Disciplines Plekhanov Russian University of Economics Russia Kazan State Power Engineering University Kazan Russia

ISBN: (纸本)9781450390323

the article analyzes the experience of the Vologda region in the formation and development of innovative activities. the main regional regulatory documents regulating the sphere of science and innovation in the Vologda Region are studied. the main forms of support for enterprises and organizations of the region engaged in innovative activities are considered. © 2021 ACM.

关键词： Computer programming

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HR Dashboard Analytics

HR Dashboard Analytics

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Advances in Computing, Communication Control and Networking (ICAC3N), international conference on

作者： Anushka Gupta Faiz Ali Brijesh Kumar Singh S Janarthanan School of Computing Science and Engineering (Btech-CSE/DA) Galgotia’s University Greater Noida Uttar Pradesh India School of Computing Science and Engineering Galgotia’s University Greater Noida Uttar Pradesh India

ISBN: (数字)9798350330861

ISBN: (纸本)9798350330878

Every company wants to get full information and hidden pattern about the rate of hiring and attrition of their employees. Most of the companies have structured or unstructured data related to the hiring and attrition of their employees but there is no easy way to visualize and extract hidden patterns from the data. they need to hire resources for work as simple as visualization. this not only increases their cost but also creates a risk of a data *** dashboard allows users to instantly create a dynamic dashboard full of visualizations instantly without the need of having deep knowledge of programming languages. An HR Dashboard is a visualization dashboard created using R’s Flex Dashboard framework which provides us a way to create dynamic dashboards. the goal of the HR dashboard is to allow visualization and understanding of company data such as Hiring’s, Expenses, Employee leaving rate, etc. the HR dashboard package will allow users to install and visualize any company’s data as long as they match a particular data structure. the HR dashboard consists of different graphs such as line graph, bar graph to visualize temporal (time-related data), and a leaflet map for spatial (Geography related data). the whole dashboard is divided into different tabs for easy navigation and to avoid mixing of different categories of information.

关键词： Geography Flexible printed circuits Costs Navigation Data visualization Companies Data structures

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A Steelmaking-continuous Casting Scheduling Optimization Method Considering Time-of-use Electricity Pricing

A Steelmaking-continuous Casting Scheduling Optimization Met...

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Intelligent Computing and Human-Computer Interaction (ICHCI), international conference on

作者： Decan Zeng Chunrong Pan Department of Electrical and Mechanical Engineering Jiangxi University of Science and Technology Ganzhou China

ISBN: (数字)9798350368284

ISBN: (纸本)9798350368291

Small-scale scrap metal recycling and remanufacturing enterprises show great potential in the situation of green transformation and sustainable development faced by the steel industry. It has the main advantages of protecting the environment and saving resources. However the production planning and energy consumption problems of steelmaking-continuous casting (SCC) plague its development. In light of these considerations, this paper proposes an enhanced gray wolf optimization algorithm, designated as Q-GWO, which incorporates Q-Iearning to address the scheduling challenges associated with SCC under the influence of time-of-use electricity pricing. the method was tested in the context of production scheduling for a small scrap metal recycling and remanufacturing enterprise in Guangdong. the results demonstrated that the algorithm is capable of effectively scheduling the production process, optimizing the makespan, and initiating high-energy-consuming processes during periods of low electricity prices, thereby minimizing the total electricity cost. Furthermore, comparative experiments were conducted with the common Dynamic programming (DP) algorithm, Gray Wolf Optimization (GWO) algorithm, and Genetic Algorithm (GA). the results demonstrated that the proposed algorithm exhibited superior performance compared to the other comparative algorithms.

关键词： Casting Job shop scheduling Costs Electricity Heuristic algorithms Metals Production Pricing Recycling Genetic algorithms

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Impact of Carbon Trading Price Parameters on the Optimization of Integrated Energy System

Impact of Carbon Trading Price Parameters on the Optimizatio...

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Advanced Electrical and Energy Systems (AEES), international conference on

作者： Zixing Fang Zhuoqun Li Hanbo Hu Bo Zhao School of New Energy and Power Engineering Lanzhou Jiaotong University Lanzhou China

ISBN: (数字)9798331517724

ISBN: (纸本)9798331517731

Controlling and reducing carbon emissions has become an important challenge. the stepped carbon trading mechanism, as a flexible market-based instrument, provides a new strategy for carbon emission management in the Integrated Energy System (IES) and promotes the economic and low-carbon development of the system. this study constructs an IES model based on a stepped carbon trading mechanism and incorporates relevant operational constraints. Minimizing the total cost of IES as the objective function, and the commercial solver CPLEX was used to solve it to achieve the optimal operating goal. As a key factor in carbon trading, changes in carbon price parameters can affect carbon trading cost and total cost, leading to changes in IES scheduling optimization strategies. To investigate the impact of changes in carbon price parameters on the optimization of IES, simulations were conducted to verify the system by altering the base price and interval length. the results show that the system can flexibly adjust the equipment output according to the change of carbon price parameters to change the carbon emissions, so as to achieve the optimal operation of the system.

关键词： Costs Instruments Emissions trading Carbon dioxide Pricing Low carbon economy Linear programming Carbon Optimization Resistance heating

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Named Entity Recognition using Knowledge Graph Embeddings and DistilBERT 21

Named Entity Recognition using Knowledge Graph Embeddings an...

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Proceedings of the 2021 5th international conference on Natural Language Processing and Information Retrieval

作者： Shreyansh Mehta Mansi Radke Sagar Sunkle Computer Science and Engineering Visvesvsraya National Institute of Technology India and Developer Crowdstrike India Computer Science and Engineering Visvesvsraya National Institute of Technology India Research Lab Tata Consultancy Services India

ISBN: (纸本)9781450387354

Named Entity Recognition (NER) is a Natural Language Processing (NLP) task of identifying entities from a natural language text and classifies them into categories like Person, Location, Organization etc. Pre-trained neural language models (PNLM) based on transformers are state-of-the-art in many NLP task including NER. Analysis of output of DistilBERT, a popular PNLM, reveals that mis-classifications occur when a non-entity word is at a place contextually suitable for an entity. the paper is based on the hypothesis that the performance of a PNLM can be improved by combining it with Knowledge Graph Embeddings (KGE). We show that fine-tuning of DistilBERT along with NumberBatch KGE gives performance improvement over various Open-domain as well as Biomedical-domain datasets.

关键词： Contextualized Word Representation Knowledge Graph Embeddings Named Entity Recognition Neural Networks

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HexT5: Unified Pre-Training for Stripped Binary Code Information Inference 23

HexT5: Unified Pre-Training for Stripped Binary Code Informa...

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Proceedings of the 38th IEEE/ACM international conference on Automated Software engineering

作者： Jiaqi Xiong Guoqiang Chen Kejiang Chen Han Gao Shaoyin Cheng Weiming Zhang University of Science and Technology of China Hefei China University of Science and Technology of China Hefei China and Anhui Province Key Laboratory of Cyberspace Security Situation Awareness and Evaluation Hefei China

ISBN: (纸本)9798350329964

Decompilation is a widely used process for reverse engineers to significantly enhance code readability by lifting assembly code to a higher-level C-like language, pseudo-code. Nevertheless, the process of compilation and stripping irreversibly discards high-level semantic information that is crucial to code comprehension, such as comments, identifier names, and types. Existing approaches typically recover only one type of information, making them suboptimal for semantic inference. In this paper, we treat pseudo-code as a special programming language, then present a unified pre-trained model, HexT5, that is trained on vast amounts of natural language comments, source identifiers, and pseudo-code using novel pseudo-code-based pretraining objectives. We fine-tune HexT5 on various downstream tasks, including code summarization, variable name recovery, function name recovery, and similarity detection. Comprehensive experiments show that HexT5 achieves state-of-the-art performance on four downstream tasks, and it demonstrates the robust effectiveness and generalizability of HexT5 for binary-related tasks.

关键词： reverse engineering

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