2017 Fourth International Conference on Mathematics and Computers in Sciences and in Industry (MCSI)最新文献_第3页

Optimization of neural network parameters using Taguchi Robust Design: Application in plasma arc cutting process 基于田口稳健设计的神经网络参数优化:在等离子弧切割过程中的应用

2017 Fourth International Conference on Mathematics and Computers in Sciences and in Industry (MCSI) Pub Date : 2017-08-01 DOI: 10.1109/MCSI.2017.19

Aristidis Tsiolikas, D. Tsiamitros, K. Kitsakis, John (Ioannis) D. Kechagias, N. Mastorakis, S. Kaminaris

引用次数: 4

From Game to Guidance: The Innovative Evaluation Approach of the P4G Simulation Business Game 从游戏到引导:P4G模拟商业游戏的创新评估方法

2017 Fourth International Conference on Mathematics and Computers in Sciences and in Industry (MCSI) Pub Date : 2017-08-01 DOI: 10.1109/MCSI.2017.34

Z. Smyrnaiou, Evangelia Petropoyloy, S. Menon, Vincenzo Zini

{"title":"From Game to Guidance: The Innovative Evaluation Approach of the P4G Simulation Business Game","authors":"Z. Smyrnaiou, Evangelia Petropoyloy, S. Menon, Vincenzo Zini","doi":"10.1109/MCSI.2017.34","DOIUrl":"https://doi.org/10.1109/MCSI.2017.34","url":null,"abstract":"Business simulation games are used worldwide as teaching and learning tools for business classes and provide an interactive educational approach to business, economics, and entrepreneurship. They act as a basic supplement to the core curriculum due to their motivating and engaging nature and their simulation aspect which enables reinforcement of key concepts in a risk-free environment. The P4G Business Game has been developed in the context of the European project PLAY4GUIDANCE. It is a simulation game between teams, where each team has the task of managing from a strategic point of view their own manufacturing business competing with the other in a market. The rationale of the game lies on the users’ training and guidance in the use of entrepreneurial, transversal and mathematical skills. The P4G business game is an online learning environment which acts as a replication and extension of the physical market world. The innovative character of the P4G Business Game lies in its embedded evaluation and scaffolding mechanism that provide significant guidance for the trainees. It focuses on both qualitative and quantitative data analysis providing users with immediate feedback and constant tracking of their performance. The sophisticated interactive technology underpinning the game accommodates social and technical dimensions -player exposure to varying levels of social interaction and cognition, removal of time and space constraints - not always available in the physical world. It allows for user intervention and decision taking processes while it offers a specific and structured space where critical analysis of intertwined and complex information is necessary. The evaluation tool was validated through pilots and national conferences conducted in all participating member countries of the project. The findings from the testing phase have shown a positive level of reliability of the P4G Evaluation tool.","PeriodicalId":113351,"journal":{"name":"2017 Fourth International Conference on Mathematics and Computers in Sciences and in Industry (MCSI)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124837931","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

High Detail Terrain Models and Multiresolution Path Finding Algorithms for Border Guard Constructive Simulator. A Study of Effective Movement Algorithms in High Resolution Simulation Environment 高细节地形模型和多分辨率寻径算法的边防构建模拟器。高分辨率仿真环境下的有效运动算法研究

2017 Fourth International Conference on Mathematics and Computers in Sciences and in Industry (MCSI) Pub Date : 2017-08-01 DOI: 10.1109/MCSI.2017.51

M. Chmielewski, Jakub Kędzior, P. Stapor, Marcin Kukielka

{"title":"High Detail Terrain Models and Multiresolution Path Finding Algorithms for Border Guard Constructive Simulator. A Study of Effective Movement Algorithms in High Resolution Simulation Environment","authors":"M. Chmielewski, Jakub Kędzior, P. Stapor, Marcin Kukielka","doi":"10.1109/MCSI.2017.51","DOIUrl":"https://doi.org/10.1109/MCSI.2017.51","url":null,"abstract":"This paper presents an overview of models and algorithms for executing elementary movement tasks within constructive simulation tool SymSG Border Tactics. SymSG Border Tactics is a distributed simulation software dedicated for tactical training including high-resolution law enforcement and opponent modelling as well as their interaction design. Required level of details within the models (single officer) enforced high detail terrain and behavioural models. Large scale of GIS data required for the simulator to perform adequate exercise execution has been a challenge. The novelty of the presented solution is hybrid approach which involves a discrete squarebased Due to required resolution of terrain models (cells 10x10m) for larger scenarios up to 50x20km an efficient terrain representation model had to be designed followed by multicriteria path finding algorithms. The paper presents implementation details, architectural concepts and experimental analysis of proposed solutions deployed in TRL IX simulation environment for Polish Border Guard training. Proposed solution provide multi-resolution and hybrid capabilities for terrain representation and simulation objects movement supplemented by high detail behavioural models, reflecting authorities and opponents actions as well as interactions.","PeriodicalId":113351,"journal":{"name":"2017 Fourth International Conference on Mathematics and Computers in Sciences and in Industry (MCSI)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123607411","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Generator Model Extension for Higher Accuracy Simulation of Power System Transients in OpenModelica 基于OpenModelica的发电机模型扩展以实现电力系统瞬态的高精度仿真

2017 Fourth International Conference on Mathematics and Computers in Sciences and in Industry (MCSI) Pub Date : 2017-08-01 DOI: 10.1109/MCSI.2017.17

Michael Kyesswa, H. Çakmak, U. Kühnapfel, V. Hagenmeyer

{"title":"Generator Model Extension for Higher Accuracy Simulation of Power System Transients in OpenModelica","authors":"Michael Kyesswa, H. Çakmak, U. Kühnapfel, V. Hagenmeyer","doi":"10.1109/MCSI.2017.17","DOIUrl":"https://doi.org/10.1109/MCSI.2017.17","url":null,"abstract":"Mathematical modeling is a key step in the analysis of power system stability. In view of model accuracy, this process should include all relevant details that affect the transient behavior of the power system and hence influence the electrical and mechanical torques in the system. To this aim, this paper describes the extension of the generator subsystem model details in OpenModelica by adding a turbine-governor model to the existing generator subsystem. Taking advantage of the multi-domain modeling property of OpenModelica, two libraries are coupled to interconnect the mechanical and electrical domains of the generator subsystem. The new generator subsystem is beneficially tested using the standard IEEE 9-Bus test feeder by comparing its response to network disturbances to that of the previously existing OpenModelica generator model. The simulation results in OpenModelica are furthermore successfully compared to respective results in DIgSILENT PowerFactory. Hence, the new generator subsystem model is integrated into the validated 20 kV power grid model of Campus North of Karlsruhe Institute of Technology and respective results are presented for abrupt load changes.","PeriodicalId":113351,"journal":{"name":"2017 Fourth International Conference on Mathematics and Computers in Sciences and in Industry (MCSI)","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116581720","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Stochastic Picard-Runge-Kutta Solvers for Large Systems of Autonomous Ordinary Differential Equations 大型自治常微分方程系统的随机Picard-Runge-Kutta解

2017 Fourth International Conference on Mathematics and Computers in Sciences and in Industry (MCSI) Pub Date : 2017-08-01 DOI: 10.1109/MCSI.2017.55

Flavius Guias

{"title":"Stochastic Picard-Runge-Kutta Solvers for Large Systems of Autonomous Ordinary Differential Equations","authors":"Flavius Guias","doi":"10.1109/MCSI.2017.55","DOIUrl":"https://doi.org/10.1109/MCSI.2017.55","url":null,"abstract":"We present an explicit stochastic scheme for approximating solutions of autonomous systems ordinary differential equations based on the direct simulation of paths of appropriate Markov jump processes. Its features make it efficient especially for large systems with a sparse incidence matrix, i.e. typically for spatially discretized partial differential equations. The full path of the Markov jump process is simulated by a very simple method and serves as a predictor for improved approximations. One possibility to obtain more precise values is to employ a Picard–iteration over small time intervals with length h. This amounts to the computation of the integral of a step–function, which can be done explicitly. Alternatively, or as a further step, one can apply a Runge–Kutta principle. For this one needs approximations of the integrand at some intermediate equidistant points in the time discretization interval. As suitable values can be taken either those given by the above described predictor, or their improvement by Picard iterations. The corresponding integral is then approximated by a quadrature formula from the Newton–Cotes family. For example we can use Simpson quadrature formulae (1/3 rule for the step h/2 and 3/8 rule for the step h/3). These approaches mimic respectively the well–known Runge–Kutta schemes of order 3, and the 3/8 scheme of order 4. The main difference to the classical Runge–Kutta method is that the intermediate values are computed here by performing a stochastic simulation, possibly followed by a Picard iteration. The described approach has as consequence an increased order of convergence. We also introduce time-adaptive versions of the stochastic Runge–Kutta method and illustrate the features of all considered schemes at a standard benchmark problem, a reaction–diffusion equation modeling a combustion process in one space dimension.","PeriodicalId":113351,"journal":{"name":"2017 Fourth International Conference on Mathematics and Computers in Sciences and in Industry (MCSI)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127605344","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

McEliece and Niederreiter Cryptosystems Analysis in the Context of Post-Quantum Network Security 后量子网络安全背景下的McEliece和Niederreiter密码系统分析

2017 Fourth International Conference on Mathematics and Computers in Sciences and in Industry (MCSI) Pub Date : 2017-08-01 DOI: 10.1109/MCSI.2017.31

A. Vambol, V. Kharchenko, O. Potii, N. Bardis

引用次数: 4

Efficiency Investigation of BoF, SVT and Pyramid Match Algorithms in Practical Recognition Applications BoF、SVT和金字塔匹配算法在实际识别中的效率研究

2017 Fourth International Conference on Mathematics and Computers in Sciences and in Industry (MCSI) Pub Date : 2017-08-01 DOI: 10.1109/MCSI.2017.37

R. Baran

引用次数: 2

Experiments and Modelling of Explosive Mixture Formation in a Closed Space as a Result of Flammable Gas Leak 可燃气体泄漏导致密闭空间内爆炸性混合物形成的实验与模拟

2017 Fourth International Conference on Mathematics and Computers in Sciences and in Industry (MCSI) Pub Date : 2017-08-01 DOI: 10.1109/MCSI.2017.26

Aleš Tulach, M. Mynarz, M. Kozubková

引用次数: 4

Computational Analysis of Factors Affecting the Probability of Survival in Trauma Injuries 影响创伤患者生存概率因素的计算分析

2017 Fourth International Conference on Mathematics and Computers in Sciences and in Industry (MCSI) Pub Date : 2017-08-01 DOI: 10.1109/MCSI.2017.27

M. Saleh, R. Saatchi, D. Burke, F. Lecky

引用次数: 0

Evaluating the Impact of Testing Document Management System with RFID Tags Software on the Level of its Reliability 评估RFID标签软件测试文件管理系统对其可靠性水平的影响

2017 Fourth International Conference on Mathematics and Computers in Sciences and in Industry (MCSI) Pub Date : 2017-08-01 DOI: 10.1109/MCSI.2017.49

K. Worwa, Maciej Kiedrowicz, T. Nowicki, R. Waszkowski

引用次数: 0