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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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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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Based on the Newton-Lawson Method Operating State Analysis of Power System Power Flow Calculations

Based on the Newton-Lawson Method Operating State Analysis o...

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IEEE international conference on Automation, Electronics and Electrical engineering (AUTEEE)

作者： Zhiyi Zhou Shuangqing Lin Jiadong Hu Huaneng Liaoning Power Supply Co. Ltd Shenyang China College of Science and Technology of China Three Gorges University Yichang China Liaoning University of Engineering and Technology Fuzhou China

ISBN: (数字)9781665471978

ISBN: (纸本)9781665471985

With the construction of the third generation of smart grid, the grid structure of the power system is becoming more and more complex, and the power system power flow calculation, as one of the important calculations supporting the operation of the power system, has great reference significance for the early planning and later construction of the power network. By optimizing the operating state of the power system power flow calculation, the stability and reliability of the power system operation can be effectively improved. therefore, based on the basic principles and mathematical model of power flow calculation of a power system, this paper uses MATLAB programming to implement power flow calculation based on the Newton-Lafson method based on the power system framework of IEEE standard 14 nodes and describes the structure of standard linear power system. In the case of knowing the initial parameters, calculate the power system power flow at this moment, analyze the current state of the power system, summarize the strong correlation between reactive power and voltage, and propose measures to reasonably regulate the transformer by changing the size of the tap. It is of guiding significance for the next stage of power dispatch to ensure the safe and stable operation of the system.

关键词： Analytical models Voltage measurement Computational modeling Power system stability Mathematical models Data models Power system reliability

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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 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 ...

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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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Prediction of Irrigation Water Supply Using Supervised Machine Learning Models in Koga Irrigation Scheme, Ethiopia 9th

Prediction of Irrigation Water Supply Using Supervised Machi...

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9th EAI international conference on Advancement of science and Technology, ICAST 2021

作者： Damtie, Menwagaw T. Tilahun, Seifu A. Zimale, Fasikaw A. Schmitter, Petra Department of Hydraulic and Water Resources Engineering Debre Tabor University Debre Tabor272 Ethiopia Faculty of Civil and Water Resources Engineering Bahir Dar Institute of Technology Bahir Dar26 Ethiopia Addis Ababa Ethiopia

ISBN: (纸本)9783030937119

Estimating water supply through irrigation canal distribution systems is a crucial process for better water management in the irrigation schemes. this study aimed to develop an approach to predict the discharge delivered to unregulated irrigation canals (such as quaternary canals) from geometric and hydraulic information of regulated section of the system (such as tertiary and others) using machine learning approaches. the prediction performance of four Caret-based Supervised Machine Learning Models, namely;Multivariate Adaptive Regression Splines (MARS), artificial Neural Networks (ANN), Random Forest (RF), and Radial Basis Support Vector Machines (SVM), were developed in the R programming environment, followed by variability assessment among canal outlets at Koga irrigation Scheme. Water delivery performance at quaternary canals showed a significant flow variation among the canal outlets. the comparative study of model prediction results showed identified MARS as the optimal model, both at the training stage (RMSE = 0.074 & R2 = 0.86 with normalized data) and testing stage (RMSE = 3.89 & R2 = 0.85 with rescaled data). Furthermore, the model building process and output equations of MARS were relatively interpretable compared to neuro and tree-based models, such as artificial Neural Network and Random Forest. thus, the MARS model was recommended to estimate the water supply to ungated irrigation canals as a function of flow rate information at gated distributary canal and other field data at lower components of irrigation schemes. © 2022, ICST Institute for Computer sciences, Social Informatics and Telecommunications engineering.

关键词： Water supply

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Design and analysis of a fast approximation algorithm for multi-modal emergency evacuation routes in the 3D environment

Design and analysis of a fast approximation algorithm for mu...

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the 2014 5th international conference on Environmental science and Information Application Technology(ESIAT 2014)

作者： C.T.Ng T.C.E.Cheng A.Elalouf E.Levner The Hong Kong Polytechnic University Bar Ilan University

We consider a multi-modal constrained routing problem arising in emergency evacuation *** a three-dimensional geometric structure of the evacuation network related to an area,such as a high-rise building or a city area with tense population,an emergency evacuation route is a sequence of move-ments of people away from the threat or actual occurrence of a hazard(e.g.,a fire or a hidden bomb) to a safe exit of the *** multi-modality condition corresponds to different possible ways and modes of evacuation(ambulances,trucks,helicopters,planes,etc.) and dictates specific demands to the solution *** provide a new pseudo-polynomial-time dynamic programming algorithm to solve this *** on this algorithm,we construct a Fully Polynomial-Time Approximation Scheme(FPTAS),providing "almost-optimal" solutions in real time.

关键词： net Design and analysis of a fast approximation algorithm for multi-modal emergency evacuation routes in the 3D environment

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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...

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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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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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Spectral Averagely-dense Clustering Based on Dynamic Shared Nearest Neighbors

Spectral Averagely-dense Clustering Based on Dynamic Shared ...

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international conference on Computational Intelligence and Applications (ICCIA)

作者： C. Y. Yuan L. S. Zhang College of Computer Science and Technology Chong Qing University of Post and Telecommunications China College of Software Engineering Chong Qing University of Post and Telecommunications China

ISBN: (数字)9781728160429

ISBN: (纸本)9781728160436

Spectral averagely-dense clustering is a clustering algorithm based on density, but it has the problem of being sensitive to the parameter ε. Aiming at the above problems, a spectral averagely-dense clustering based on dynamic shared nearest neighbors is put forward. Firstly, a similarity measures is constructed by combining self-tunning distance and shared nearest neighbors. Self-tunning distance can handle clusters of different density, and shared nearest neighbors can draw closer to the data in the same cluster and alienate the data in different clusters. Secondly, based on the sample distribution function, a method capable of self-adaptively determining the k-value of the shared nearest neighbors is proposed without setting the parameter k. Finally, the constructed similarity measure is used as the similarity measure of the fully connected graph. the ε-neighberhood graph of spectral averagely-dense clustering is replaced with the fully connected graph, which avoid setting the parameter ε. through the experiments on artificial datasets and UCI datasets, the proposed algorithm is compared with the spectral averagelydense clustering and the standard spectral clustering. the experimental results show that the proposed algorithm not only avoids the problem of difficult selection of ε-neighberhood graph parameters, but also has better performance on the datasets.

关键词： Clustering algorithms Linear programming Indexes Heuristic algorithms Distribution functions Matrix decomposition Partitioning algorithms

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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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