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共 546 条记录，以下是41-50 订阅

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Locally Linear Embedding Based on Neiderreit Sequence Initialized Ali Baba and the Forty thieves Algorithm

Locally Linear Embedding Based on Neiderreit Sequence Initia...

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Information Technology,Big Data and Artificial Intelligence (ICIBA), international conference on IEEE international conference on

作者： Xinyu Li Zhengdong Zhu Lijin Hui Xiongfeng Ma Dan Li Zan Yang Wei Nai School of Economics and Management Huzhou College Huzhou China Public Teaching and Research Department Huzhou College Huzhou China School of Electronic Information Huzhou College Huzhou China Huzhou Key Laboratory for Urban Multidimensional Perception and Intelligent Computing Huzhou College Huzhou China

ISBN: (数字)9798350363609

ISBN: (纸本)9798350363616

Manifold learning is a nonlinear dimensionality reduction technique that reveals the essential features and structure of data through dimensionality reduction. this technique has enormous theoretical research and industry application value in fields such as data visualization, denoising, and anomaly detection. Locally linear embedding (LLE) is a classic algorithm in manifold learning, which projects high-dimensional data into a low-dimensional space while maintaining the same algebraic structure. However, the optimization objective function of LLE uses L2 norm to measure linear approximation error, which can easily amplify and reduce the error. therefore, in this paper, L1 norm is used instead of L2 norm to overcome this deficiency, but it also brings about the problem of non-smoothness in the optimization objective function. To address this issue, in this paper, a derivative-free optimization method called Neiderreit sequence initialize Ali Baba and the forty thieves (NSAFT) algorithm has been proposed, and demonstrates its effectiveness in finding the optimal solution for the objective function of LLE through numerical experiments.

关键词： High dimensional data Noise reduction Measurement uncertainty Industry applications Optimization methods Linear approximation Linear programming Manifold learning Information technology Oscillators

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Automatic trimming machine for valve stem seal

Automatic trimming machine for valve stem seal

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4th international conference on Advances in Materials and Manufacturing Applications (IConAMMA)

作者： Anusha, R. Murthy, B. N. Chandrashekar JSS Sci & Technol Univ Dept Elect & Commun Mysuru 570006 Karnataka India

Automotive Industries were aiming at building fully automated machines to obtain increased production without compromising in the quality of the product. Building an automatic machine is one of the most efficient technologies to overcome defects resulted due to trimming process of valve stem seals. the existing system includes semi-automatic machine with punching system results in improper trimming. Hence in order to reduce these defects the system aims at building an automatic trimming machine for valve stem seals used in vehicles. the semi-automatic machine was ended with few defects which affect the product quality. the customer satisfaction is an important factor for industry growth. the system focuses on building a simple machine and control panel design with Programmable logic Controller (PLC) as the controller. PLC will be most suitable controllers for the automotive industries. PLC was programmed using the CX-Programmer software with ladder logic as the programming language. the operation of the results was also displayed using HMI (Human Machine Interface) screen, which will provide information to the operator about machine production and its status. (c) 2020 Elsevier Ltd. Selection and peer-review under responsibility of the scientific committee of the international conference on Advances in Materials and Manufacturing Applications.

关键词： Programmable logic Controller Valve Stem Seal Human Machine Interface CX-Programmer Ladder logic

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Minimization of Dynamic programming Algorithm by three-dimension Model Collison Test Fitting 2021

Minimization of Dynamic Programming Algorithm by Three-dimen...

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4th international conference on Data Science and Information Technology, DSIT 2021

作者： Yang, Zhongming Lu, Xiaohui Huang, Lilong Yu, Jun Yang, Jianhui Guangdong Polytechnic of Science and Technology China Jiaxing Vocational Technical College China South China University of Technology China

ISBN: (纸本)9781450390248

In the collision test of simulating object in reality in Unity 3D, the common method taken for non-convex model is convex decomposition. While there exist various kinds of de composition towards models of different forms, it is a combination optimization issue which haven't got the optimized algorithm and which is tedious and time-consuming. While the method of directly judging whether the point is in the inner model or not shows clearer logic and faster judging speed. this judging method can be used in the establishment of non-convex model in computer the non-convex model, after convex decomposed, is converted into several convex models of fitting model which is then operated collision test. this test method shows a characteristic of simplicity, high-speed and high university. © 2021 ACM.

关键词： Dynamic programming

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Parameter Identification of Composite Load Model Based on Bayesian Optimization

Parameter Identification of Composite Load Model Based on Ba...

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Electrical Engineering and Control Technologies (CEECT), conference on

作者： Sirui Tang Yunche Su Xinwei Du Chuan Yuan Bo Li Fang Liu Yang Liu Wei Chen State Grid Sichuan Economic Research Institute State Grid Corporation of China Chengdu China

ISBN: (纸本)9781665499002

Load modeling has a great impact on the analysis, operation, and planning of power systems. Using the composite load model (CLM) as the model structure, parameter identification is a major challenge in load modeling. Measurement-based parameter identification of CLM can be expressed as a complex optimization problem with differential-algebraic equations (DAEs)-based dynamic constraints. Conventional population-based evolutionary programming algorithms are computationally intensive as the fitness evaluation has to be carried out exhaustively for all the individuals. To enhance the computation efficiency in load modelling. In this paper, Bayesian optimization is proposed. Case studies are presented to demonstrate the effectiveness of the proposed Bayesian optimization method. Comparing with the conventional particle swarm optimization, the proposed Bayesian optimization can significantly reduce the computation time as fewer times of time-domain simulation-based fitness evaluation is needed. But both algorithms can achieve similar performance on the estimation accuracy.

关键词： Parameter estimation Computational modeling Power system dynamics programming Mathematical models Bayes methods Planning

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A review for identification of mask using Machine Learning Technique

A review for identification of mask using Machine Learning T...

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

作者： Juhi Kisanrao Chavan Narendra Kandoi Department of CSE S.S.G.M. College of Engineering Shegaon

In computer field security and protection, the recognition of object is very important to take particular action becomes very necessary for making decisions. Due to increase in scientific development in the information, computer vision and programming techniques, which make an image a very important role in multiple zone such as medicine media, education, design, industry, security etc. this proposed system make use of face identification on the basis of dataset and helps in the scenario for detection mask on face, which helps to prevent the spreading of virus at certain level with specific application.

关键词： Industries Pandemics Face recognition Machine learning logic gates Media Maintenance engineering

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Formal verification of ST programs using CSP 4

Formal verification of ST programs using CSP

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2021 4th international conference on Computer Information Science and Application Technology, CISAT 2021

作者： Zhou, Qibin Cai, Fangda Yang, Yang Wu, Changshun Shanghai Jianqiao University Shanghai201306 China East China Normal University Shanghai200062 China Shanghai Formal-Tech Information Technology Co. Ltd. Shanghai200333 China

Programmable logic Controllers (PLCs) are embedded devices that are widely used in industrial control systems. PLC programs are written in special languages that are defined in the IEC 61131-3 standard, which includes two textual and three graphical programming languages. Structured text (ST) language is one of IEC 61131-3 standards, which is a high-level text language similar to PASCAL language. ST language features the following advantages: freely programming style, compact structure and strong data processing capabilities. Using ST language can be more convenient to realize the complex control programs. In this paper, we research and discuss formal verification of PLC program based on ST language, and show the conversion rules from ST language to the formal modeling language named CSP# (short for Communicating Sequential Programs). Finally, a case study is presented to demonstrate the procedure that PLC programs written in ST language are translated into CSP#, consequently, and the result of verification is given using the Process Analysis Toolkit (PAT). © Content from this work may be used under the terms of the Creative Commons Attribution 3.0 Licence.

关键词： Programmable logic controllers

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logicKit: Bringing logic programming to Swift 20

LogicKit: Bringing Logic Programming to Swift

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4th international conference on the Art Science and Engineering of programming

作者： Racordon, Dimitri Buchs, Didier Univ Geneva Ctr Univ Informat Geneva Switzerland

ISBN: (纸本)9781450375078

A new trend in programming languages is to merge multiple paradigms, rather than focusing on one as it was customary in the past. Most modern languages provide native support for imperative and functional programming, object-orientation and even concurrency. the typical mechanism used to blend heterogeneous language concepts is to rely on functions. Functions are a very well understood, usually offer an excellent abstraction over diverging models of computation, but are unsuitable to interface logic programming, unfortunately. Embedding a full logic programming language into a host is also unsatisfactory, as it impedes the ability to make data flow from one paradigm to the other. As an answer to these issues, we propose logicKit, a library that aims to bridge the gap between logic programming and other traditional paradigms. logicKit is a Prolog-inspired language that blends seamlessly into Swift. Predicates are first-class objects in the host language and data can flow in and out of a logic program, without the need for any data serialization/parsing. Our framework is distributed in the form of a Swift library that can be imported in any Swift project effortlessly. We elaborate on our motivation for developing logicKit and present the library by the means of examples.

关键词： logic programming domain specific language embedded language multi-paradigm programming swift prolog

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Probabilistic Planning of Transmission Network Considering Operational Flexibility of Power System

Probabilistic Planning of Transmission Network Considering O...

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Smart Power & Internet Energy Systems (SPIES), international conference on

作者： Jianjie Li Ping Li Peng Li Junshao Guo Mingqiang Wang Binzhou Electric Company Binzhou China Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Jinan China

the uncertainties about equipment failure will bring great challenges to the operation of transmission network. therefore, it is important for transmission network to possess sufficient flexibility to accommodate the fluctuation of load and deal with unit failures. this paper proposes a probabilistic planning model of transmission network considering operational flexibility, which makes decision-making optimization for transmission network planning and reduces the influence of uncertainties about equipment failure. Moreover, the proposed model introduces the probability and expectation of up-flexibility-not-supplied (UFNS) and expected-energy-not-supplied (EENS), then uses penalty cost to quantify them, which enhances the reliability and economy of transmission network planning. Furthermore, the absolute value linearization method is used to linearize the expectation of UFNS and EENS, which greatly improves the calculation efficiency. the proposed model is solved using the CPLEX solver in General algebraic Modeling System (GAMS). the practicality of model is verified by the IEEE-RTS system.

关键词： Uncertainty Fluctuations Probabilistic logic Software Planning Power system reliability Software reliability

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Study and Implementation of Ladder logic Conversion to VHDL for Field Programmable Gate Array (FPGA)-Based Programmable logic Controllers (PLC) 4th

Study and Implementation of Ladder Logic Conversion to VHDL ...

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4th international conference on Microelectronics, Computing and Communication Systems, MCCS 2019

作者： Kumar, Aditya Kumar, Prashant Modi, Sompurna Nath, Vijay Department of ECE Birla Institute of Technology Mesra RanchiJharkhand835215 India Department of EEE Birla Institute of Technology Mesra RanchiJharkhand835215 India

ISBN: (纸本)9789811555459

Programmable logic Controller (PLC) is commonly used in the modern era of manufacturing and industrial automation. PLC can be programmed in three ways: Ladder logic, function block diagram, and sequential function chart. the most common and popular programming language is ladder logic in PLC. the efficiency of PLC is highly restricted by the speed of microprocessor in real time and the power consumption is quite high. To speed up the PLC performance and flexibility, this paper proposed a new PLC ladder logic design based on FPGA (VHDL). Further with the use of state machine process, the conversion of ladder logic into VHDL has been optimized. there is wide variety and diversity of ladder logic instruction for different PLCs, so a universal converter is required with an extended Boolean expression which will act as a bridge between ladder logic and VHDL. this proposed design will provide improved flexibility, consume less power, increased reliability, faster scanning time, and better performance. © 2021, the Editor(s) (if applicable) and the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Programmable logic controllers

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4th international conference on Intelligent Decision Science, IDS 2020

4th International Conference on Intelligent Decision Science...

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4th international conference on Intelligent Decision Science, IDS 2020

ISBN: (纸本)9783030665005

the proceedings contain 77 papers. the special focus in this conference is on Intelligent Decision Science. the topics include: Estimation of Returns to Scale of Units Under Evaluation with Integer Data Using Non-radial Models in Data Envelopment Analysis;a Fast Discrete Homotopy Solution Method for Two Problems in Image Deconvolution;a New Approach for Macroscopic Analysis to Improve the Technical and Economic Impacts of Urban Interchanges on Traffic Networks;algebras of Concepts and their Networks;Application of the CESTAC Method to Find the Optimal Iteration of the Homotopy Analysis Method for Solving Fuzzy Integral Equations;ontology-Based Elements Evaluation for Emergency Response Apps: A Delphi Technique Approach;boubaker Function for Solving Fractional Diffusion-Wave Equation;collocation Method for Second Order Fuzzy Differential Equation Under Generalized Differentiability;Finding Most Preferred Solution in Imprecise DESA;grading Homeworks, Verifying Code: How thorough Should the Feedback Be?;image Processing for Workability of Concrete with Super Absorbent Polymer;influence of Uncertainties on Reliability of Large Space Structures;investigating the Role of Renewable Energies in Integrated Energy-Water Nexus Planning under Uncertainty Using Fuzzy logic;ioT Based Smart Irrigation System with LoRa;numerical Investigations of Physical Processes for Regularized Long Wave Equation;numerical Solution of Fractional Cauchy Reaction-Diffusion Equation by Differential Quadrature;a Comparative Study on Visualization Technique for Home Network;numerical Solution of Linear Volterra Integral Equations Based on Operational Matrix of Integration by Using Non-uniform Haar Wavelets;on Shortest Path Problem via a Novel Neurodynamic Model: A Case Study;hesitant Fuzzy Linear Fractional programming Problem.

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