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international conference on Circuit, Power and Computing Technologies (ICCPCT)

作者： Salil Tamboli Aman Anand School of Computer Science and Engineering Galgotias University Greater Noida India

ISBN: (数字)9798350372816

ISBN: (纸本)9798350372823

the world of football, with its vast player database and intricate gameplay, has been a subject of fascination for enthusiasts and analysts alike. the FIFA video game series, developed by EA Sports, provides an opportunity to delve into this world from a data science perspective. In this research, we embark on a comprehensive analysis of FIFA player data using Python to uncover insights and patterns that can enhance our understanding of the virtual football world. Findings: Data visualization is the process of representing data using common graphics, like charts, plots, infographics, and even animations, prediction of overall rating of football players using Linear Regression and Win prediction of EPL teams using Random Forest classifier.

关键词： Video games Shape Data visualization Stars Syntactics Object oriented programming Random forests

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An Agglomerative Hierarchical Clustering Algorithm Based on Global Distance Measurement

An Agglomerative Hierarchical Clustering Algorithm Based on ...

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IEEE international Symposium on Information (IT) in Medicine and Education, ITME

作者： Fang Liu Yongqing Wei Min Ren Xiuyan Hou Yingying Liu School of Information Science and Engineering Shandong Normal University Jinan China Shandong Police College Jinan Shandong CN School of Mathematics and Quantitative Economics Shandong University of Finance and Economics Jinan China

the accuracy of existing hierarchical clustering algorithms in distance measurement is not high, in order to improve it, this paper proposes a condensing hierarchical clustering algorithm based on global distance measurement. this method puts forward the concept of global distance and local distance for the distance measurement, effectively depicting the distance between the data objects, in the merger of the clusters, it also proposes two new concepts: the cohesion within the class and the separability between classes, at the same time, on the basis of these two concepts, it constructs an objective function and maximizes the objective function to reach the purpose that the cohesion within the class be as large as possible, the separability between classes be as small as possible, in order to obtain the optimal clustering results. the experimental accuracy of this algorithm is higher than traditional hierarchical clustering algorithms both on the artificial data and real data sets, which shows that the algorithm has higher clustering validity.

关键词： Clustering algorithms Euclidean distance Algorithm design and analysis Linear programming Merging Iris

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A Flooding Attack Detection and Mitigation Technique in Wireless Sensor Networks

A Flooding Attack Detection and Mitigation Technique in Wire...

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international conference on ent Computing and Control Systems (ICICCS)

作者： Makul Mahajan Salil Batra Simarjit Singh Malhi Gursharan Singh School of Computer Science and Engineering Lovely Professional University Phagwara India

Wireless Sensor Networks (WSNs) are made up of sensor nodes with a finite supply of energy that cooperate to accomplish a common goal. WSNs are widely used to carry out a variety of monitoring duties in challenging environments that are difficult to reach and even dangerous. the distributed nature of WSNs makes them vulnerable to a wide range of physical attacks, including eavesdropping, Sybil attacks, node replication attacks, signal or radio jamming, denial of service (DoS) attacks, flooding attacks, node outages, and DoS attacks. In order to stop communicating between source and destination, the flooding outbreak attacks the network with unwarranted bogus route requests. the goal of a data flooding attack is to obstruct the communication between source and destination by flooding the network with an overwhelming amount of useless data packets. Using the networks simulator NS 2.33, this research study has assessed and compared the suggested technique FDMM with native AODV and current state-of-the-art protocols. On an average, the proposed algorithm shows 1.34% and 0.18% increase in PDF, 6.03% and 5.47% increase in throughput, 1.93% and 0.54% increase in average residual energy, 3.30% and 4.09% decrease in end to end delay when compared with state-of-the-art algorithms.

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Total Site Optimization for Low Temperature Processes

Total Site Optimization for Low Temperature Processes

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第七届国际分离科学与技术会议(Proceedings of the 7th international conference on Separation science and Technology)

作者： Yiqing Luo Liang Kong Xigang Yuan Chemical Engineering Research Center School of Chemical Engineering and TechnologyTianjin UniversityTianjin 300072China

Low-temperature separation processes,such as the cold end of ethylene plant and LNG separation,consist of three correlative sections: the core process (separation sequence),the heat exchanger network (HEN) and the refrigeration ***,the separation sequences were designed first,followed by the heat exchanger network and the refrigeration system that supported *** the total energy cost is summation of all the three parts,such design methodology failed to consider the interrelation among the three sections,could not guarantee the optimal total *** order to cope with this drawback,total site optimization method is required,but too many variables and constraints make it quite a complex *** this study,the combined consideration of distillation column profiles and of low-temperature shaftwork targets in the design of low-temperature distillation-based process has been *** on stochastic optimization strategy[1] and exergy and pinch technique[2~5],a mathematical model is formulated to design low temperature processes,in which the stochastic algorithm deal with the flowsheet structure and the levels of continuous variables,and the exergy and pinch technique identify the shaftwork target without knowing the exact heat exchanger network and refrigeration *** this method,separation sequence structure and minimum total energy cost are connected directly,the operating pressure and separation structure will be the only independent variables,which makes programming solving much ***,this model can also be used to design processes with complex columns and heat *** levels of refrigerant can be optimized as ***,a case study of ethylene cold-end separation is used to illustrate the application of the *** solutions in different conditions (simple column and complex column,with or without heat integration and different refrigerant levels settings) are compared with the original scheme.

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Hybrid energy storage lifetime-oriented control strategy in islanded microgrids: A real time simulation case study

Hybrid energy storage lifetime-oriented control strategy in ...

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IEEE international Energy conference and Exhibition (EnergyCon)

作者： Tobias Hä ring Luca Link Argo Rosin Helmuth Biechl FinEst Centre for Smart Cities &#x0026 Department of Electrical Power Engineering and Mechatronics Tallinn University of Technology Tallinn Estonia Institute of Electrical Power Systems (IEES) University of Applied Sciences Kempten Kempten Germany Department of Electrical Power Engineering and Mechatronics Tallinn University of Technology Tallinn Estonia

To reduce greenhouse gas emissions, volatile energy production from renewable sources is highly encouraged by international agreements. this leads to balancing challenges of demand and supply which can be addressed with smart grids or even smart city concepts. Demand side management control strategies for flexibility harvesting often include energy storage systems, like flywheel- (FESS) and battery (BESS) storages. To investigate different control strategies for a hybrid energy storage system with a flywheel and battery storage in an islanded microgrid, an existing flywheel is modernized with state-of-the-art components to support real time power hardware in the loop simulations. Testing a load levelling control strategy with this test bench showed that the cyclic lifetime of the battery storage system could be increased with peak shaving due to a reduced amount of charging and discharging operations. An excessive energy buffering control method could increase the islanded operation time by using nearly 10% of the otherwise lost energy. However, these results with the testbench showed limited use for research with the current setup due to low capacity and high self-discharge rate of the existing FESS. But due to the MATLAB-based programming interface, it is perfectly suitable as an educational setup for the demonstration of possible implementations of the European Green Deal.

关键词： Renewable energy sources Smart cities Microgrids Production Real-time systems Batteries Flywheels

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Exploring the Use of Industrial Robots in CNC Machine Tool programming and Operation Courses

Exploring the Use of Industrial Robots in CNC Machine Tool P...

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IEEE international conference on Mechatronics System and Robots (ICMSR)

作者： Weiwen Ye School of Mechanical and Electrical Engineering Guangdong University of Science and Technology Dongguan City 523083 Guangdong China

CNC machine tools (Note: CNC’s full name is Computer Numerical Control, hereinafter referred to as CNC) is the core equipment of modern manufacturing, in the cutting and processing of moulds and mechanical parts, has an irreplaceable position. For a long time, CNC machine tools have been put into production processing individually or in bulk. In recent years, with the rapid development of new technologies, industrial robots have also been developed rapidly and put into use in various fields, and CNC machine tools and industrial robots are gradually combined into a whole. In CNC machining, the use of industrial robots maximises the inherent potential of CNC machine tools, making them simpler, more stable and more efficient. For the operator, the intervention of industrial robots makes the operation of CNC machine tools increasingly difficult, not only ensuring processing quality, but also improving processing efficiency. Robotics and CNC machining machine tools are a combination of robotics and CNC technology, enabling the machine tool to have a variety of features and functions of the robot at the same time, while the robot can have similar characteristics to the operator. this makes the combination of robotics and CNC machining machine tools more functional and powerful. It also reduces the manual labour intensity and improves the safety of industrial intensity. the use of industrial robots in CNC machining technology allows for better performance in the programming and manufacturing process. Not only can cutting work tasks be completed, but also precise robot operations and much more can be achieved. the use of robots improves the efficiency of industrial production and brings more convenience and profit to companies. In recent years, CNC machining technology has also developed rapidly, which in turn plays a full role in ensuring high product quality and output. For this reason, the authors analyse and explore the application of industrial robots in CNC machining

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Study Courses Digitalisation at RTU On the Basis of HPC Platform and Combined Learning Methodology

Study Courses Digitalisation at RTU On the Basis of HPC Plat...

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international Scientific conference on Power and Electrical engineering of Riga Technical University (RTUCON)

作者： Anastasia Zhiravetska Jelena Chaiko Nadezhda Kunicina Julija Maksimkina Department of Electrophysics Institute of Industrial Electronics and Electrical Engineering Riga Technical University Riga Latvia Institute of Industrial Electronics and Electrical Engineering Riga Technical University Riga Latvia

the benefits of study program digitalisation are very promising in engineering sector, and they are coming into all segments of life not avoiding the segment of education especially in engineering area. therefore Riga Technical University is intensively improving its study courses introducing and modifying study activities realised by means of various interactive tools. One of the ways to digitalise the courses is participation in project 2.3.1.1.i.0/1/22/I/CFLA/003 “Mastering of High Level Digital Skills In Latvia In the Field of High Performance Computing” (“Augsta līmeņa digitālo prasmju apguve Latvijā augstas veiktspējas skaitļošanas tehnoloģiju jomā”). this project is realised by three largest universities of Latvija – Riga Technical University, Riga Stradiņš University and Latvian University. It initialises the modification of 12 study courses for the further combined learning methodology on the basis of 8 themes modules: 1) scientific programming and operational systems, 2) computer design, 3D modelling and design, 3) data analysis, machine learning and data science, 4) parallel programming, 5) modelling and simulation, 6) modern computing systems and methods 7) engineering design of complex physical systems and simulation of mechanic, aerodynamic, electrodynamic properties and 8) artificial intelligence including medicine diagnostics based on pictures.

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DSLBench: Applying DSL in benchmark generation

ACM International Conference Proceeding Series

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ACM international conference Proceeding Series 2006年 183卷

作者： Bui, Ngoc Bao Jeffery, Ross Empirical Software Engineering Program National ICT Australia Ltd. School of Computer Science and Engineering University of New South Wales Australia

ISBN: (纸本)1595934235

Meeting performance requirements is a challenging software engineering problem in designing and constructing middleware based applications. Considerable efforts have been spent to build performance analysis models from the application architectural models that can be applied before the implementation phase. Accurate analysis models require realistic performance data to be populated into the performance models, which represents the performance characteristics of the middleware and the application hosted by the middleware runtime environment. Benchmark applications are usually developed to collect these performance data. However, benchmark generation for middleware-based systems is a costly and time consuming process because of the complexity of programming models and technology specific features of different types of middleware. the paper proposes an approach to automate benchmark generation processes following Model Driven Development methodology, which aims to construct deployable benchmark applications from the high-level design models. A modelling language is designed specifically for performance testing domain by using the recently released Microsoft Domain Specific Language toolkit. this approach can be integrated into Visual Studio 2005 Team System as a "plug in " to model and generate load testing suites. Copyright 2006 ACM.

关键词： DSL

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State Feedback Controller Design for General Polynomial-Fuzzy-Model-Based Control Systems

State Feedback Controller Design for General Polynomial-Fuzz...

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IEEE international conference on Cyber Technology in Automation, Control, and Intelligent Systems

作者： Dan Ye Xiehuan Li Nana Diao College of Information Science and Engineering Shenyang Liaoning

ISBN: (纸本)9781538604915

this paper studies state feedback controller design for polynomial-fuzzy-model-based (PFMB) control system, which contains a polynomial fuzzy model (PFM) and a polynomial fuzzy controller (PFC) to show a nonlinear plant. A polynomial Lyapunov function candidate relying on any system states is chosen to prove the PFMB control system that has different membership functions and fuzzy rules between PFM and PFC, which produce more diversification in design and less conservative stability conditions. the provided novel sum of squares (SOS) optimization method is used to solve the non-convex conditions by describing the nonlinear terms as semi-definite programming (SDP) problem and making the optimal value is zero. To have a better stability analysis, a relaxation matrix that considers the information of the membership function product is proposed. the exported SOS-based conditions combined with Lyapunov stability theorem are added into the stability analysis, which guarantee that the system is stable. the numerical simulation example gives a good proof of the validity of the introduced approach.

关键词： Lyapunov methods Numerical stability State feedback Stability criteria Linear matrix inequalities

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Efficient Compiler Option Tuning: Exploiting Objective Interdependencies for Enhanced Performance

Efficient Compiler Option Tuning: Exploiting Objective Inter...

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Advanced Algorithms and Control engineering (ICAACE), international conference on

作者： An Shao College of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu China

ISBN: (数字)9798350361445

ISBN: (纸本)9798350361452

the process of managing numerous optimization options in a compiler like GCC, aimed at achieving various runtime performance goals such as file size, compilation time, and execution time, is quite challenging. Existing methods, both meta-heuristic and data-driven, often overlook the crucial interdependencies among these objectives, leading to suboptimal performance in optimization algorithms. Our research introduces a cost-effective approach that not only recognizes but also effectively exploits these interdependencies for more efficient compiler option tuning. this approach involves sequentially developing three Gaussian process surrogate models, each tailored to a specific optimization goal but closely interlinked to ensure a comprehensive optimization strategy. Additionally, we utilize a clustering-based selection mechanism that leverages the connections and diversity within the Pareto set. Our evaluation with GCC and the cBench benchmark suite demonstrates superior performance in Pareto front diversity compared to current methods, highlighting the importance of considering objective interdependencies in optimization algorithm efficiency.

关键词： Runtime Control engineering Metaheuristics Process control Gaussian processes Benchmark testing Linear programming

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