A Numerical Photonics library written in C++. The library includes beam propagation method, coupled mode method, Bragg Gating Analysis, transfer matrix method, and vectorial Fourier Decomposition method. Very useful in Simulating integrated Photonic devices
標(biāo)簽： library propagation Numerical Photonics
上傳時間： 2013-12-22
上傳用戶：wendy15
一個基本的酒店管理系統(tǒng)，能夠大體上模擬一個酒店的基本運(yùn)轉(zhuǎn)情況-a basic hotel management system, capable of Simulating a large hotel the basic functioning of the
標(biāo)簽： 管理系統(tǒng)
上傳時間： 2017-02-01
上傳用戶：sjyy1001
Behavioral models are used in games and computer graphics for realistic simulation of massive crowds. In this paper, we present a GPU based implementation of Reynolds [1987] algorithm for Simulating flocks of birds and propose an extension to consider environment self occlusion. We performed several experiments and the results showed that the proposed approach runs up to three times faster than the original algorithm when Simulating high density crowds, without compromising significantly the original crowd behavior.
標(biāo)簽： Behavioral simulation realistic computer
上傳時間： 2017-09-08
上傳用戶：hanli8870
A MATLAB program has been written to investigate Orthogonal Frequency Division Multiplexing (OFDM) communication systems. This program is valuable for future researchers Simulating systems that are too theoretically complex to analyze. Single-carrier QAM and multicarrier OFDM are compared to demonstrate the strength of OFDM in multipath channels. Two graphical user interface demonstrations show some of the basic concepts of OFDM.
標(biāo)簽： Multiplexing investigate Orthogonal Frequency
上傳時間： 2013-12-09
上傳用戶：redmoons
Computational models are commonly used in engineering design and scientific discovery activities for Simulating complex physical systems in disciplines such as fluid mechanics, structural dynamics, heat transfer, nonlinear structural mechanics, shock physics, and many others. These simulators can be an enormous aid to engineers who want to develop an understanding and/or predictive capability for complex behaviors typically observed in the corresponding physical systems. Simulators often serve as virtual prototypes, where a set of predefined system parameters, such as size or location dimensions and material properties, are adjusted to improve the performance of a system, as defined by one or more system performance objectives. Such optimization or tuning of the virtual prototype requires executing the simulator, evaluating performance objective(s), and adjusting the system parameters in an iterative, automated, and directed way. System performance objectives can be formulated, for example, to minimize weight, cost, or defects; to limit a critical temperature, stress, or vibration response; or to maximize performance, reliability, throughput, agility, or design robustness. In addition, one would often like to design computer experiments, run parameter studies, or perform uncertainty quantification (UQ). These approaches reveal how system performance changes as a design or uncertain input variable changes. Sampling methods are often used in uncertainty quantification to calculate a distribution on system performance measures, and to understand which uncertain inputs contribute most to the variance of the outputs. A primary goal for Dakota development is to provide engineers and other disciplinary scientists with a systematic and rapid means to obtain improved or optimal designs or understand sensitivity or uncertainty using simulationbased models. These capabilities generally lead to improved designs and system performance in earlier design stages, alleviating dependence on physical prototypes and testing, shortening design cycles, and reducing product development costs. In addition to providing this practical environment for answering system performance questions, the Dakota toolkit provides an extensible platform for the research and rapid prototyping of customized methods and meta-algorithms
標(biāo)簽： Optimization and Uncertainty Quantification
上傳時間： 2016-04-08
上傳用戶：huhu123456
With this book at your fingertips, you, the reader, and I have something in common. We share the same interest in mobile radio channels. This area attracted my interest first in autumn 1992 whenImovedfromindustrytoacademiatofindachallengeinmylifeandtopursueascientific career. Since then, I consider myself as a student of the mobile radio channel who lives for modelling, analyzing, and Simulating them. While the first edition of this book resulted from my teaching and research activities at the Technical University of Hamburg-Harburg (TUHH), Germany, the present second edition is entirely an outcome of my work at the University of Agder, Norway.
標(biāo)簽： Channels Mobile Radio
上傳時間： 2020-05-30
上傳用戶：shancjb
設(shè)計(jì)了農(nóng)業(yè)溫濕度智能控制系統(tǒng),該系統(tǒng)采用DHT11溫濕度傳感器作為溫濕度采集模塊,單片機(jī)選用AT89C52代替并調(diào)用Virtual terminal模擬串口通信,LCD1604液晶顯示器實(shí)時顯示溫濕度,實(shí)現(xiàn)了溫濕度的測量、顯示,可自動控制加熱、降溫、加濕、通風(fēng),實(shí)現(xiàn)溫濕度控制以及超限報(bào)警處理,并利用Proteus與Keil進(jìn)行實(shí)際電路的仿真。試驗(yàn)表明,該系統(tǒng)實(shí)現(xiàn)了可靠的溫濕度監(jiān)控。We described the design of an intelligent control system of agriculture temperature and humidity.The system uses DHT11 temperature and humidity sensor as the temperature and humidity acquisition module.The SCM adopts AT89C52 to replace and call the virtual terminal for Simulating serial communication.LCD1604 displays temperature and humidity in real time,which implements the measurement and display of temperature and humidity.The system is able to automatically control heating,cooling,humidification and ventilation,to achieve temperature and humidity control and over-limit alarm processing.The system also uses Proteus and Keil for actual circuit simulation.The experiment shows that the system is capable of reliable temperature and humidity monitoring.
標(biāo)簽： at89c52 溫濕度智能控制系統(tǒng)
上傳時間： 2022-03-26
上傳用戶：aben
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