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Simulator

“模擬裝置”是天文學專有名詞。來自中國天文學名詞審定委員會審定發布的天文學專有名詞中文譯名,詞條譯名和中英文解釋數據版權由天文學名詞委所有。
  • 1. Learning NS Website (中文

    1. Learning NS Website (中文,有介紹Unicast Routing) 2. 華玄明網際網路實驗室 - NS2 討論區 (臺灣NS2討論區) 3. NS仿真軟件 (中國大陸NS2討論區) 4. The Network Simulator: Contributed Code (一些研究人員所貢獻的程式碼,這些程式碼並沒有包含在NS2原本的程式碼內) 5. The Network Simulator: Building Ns (介紹如何安裝NS2) 6. NsNam Site Search (有關於NS和NAM的搜尋引擎)

    標簽: Learning Website NS

    上傳時間: 2016-11-03

    上傳用戶:huangld

  • UM-OLSR is an OLSR (Optimized Link State Routing protocol) implementation for the ns2 network simula

    UM-OLSR is an OLSR (Optimized Link State Routing protocol) implementation for the ns2 network Simulator.

    標簽: implementation Optimized protocol UM-OLSR

    上傳時間: 2016-11-06

    上傳用戶:zaizaibang

  • DYMOUM is an implementation of the DYMO (Dynamic Manet On-demand) routing protocol both for Linux ke

    DYMOUM is an implementation of the DYMO (Dynamic Manet On-demand) routing protocol both for Linux kernel and ns2 network Simulator, written in C and C++.

    標簽: implementation On-demand protocol Dynamic

    上傳時間: 2016-11-07

    上傳用戶:tianyi223

  • The DHRY program performs the dhrystone benchmarks on the 8051. Dhrystone is a general-performanc

    The DHRY program performs the dhrystone benchmarks on the 8051. Dhrystone is a general-performance benchmark test originally developed by Reinhold Weicker in 1984. This benchmark is used to measure and compare the performance of different computers or, in this case, the efficiency of the code generated for the same computer by different compilers. The test reports general performance in dhrystones per second. Like most benchmark programs, dhrystone consists of standard code and concentrates on string handling. It uses no floating-point operations. It is heavily influenced by hardware and software design, compiler and linker options, code optimizing, cache memory, wait states, and integer data types. The DHRY program is available in different targets: Simulator: Large Model: DHRY example in LARGE model for Simulation Philips 80C51MX: DHRY example in LARGE model for the Philips 80C51MC

    標簽: general-performanc benchmarks Dhrystone dhrystone

    上傳時間: 2016-11-30

    上傳用戶:hphh

  • evc與mapx mobile 在PDA上開發的GPS接收器。你的電腦上最好有evc++4.0和ppc2003模擬器

    evc與mapx mobile 在PDA上開發的GPS接收器。你的電腦上最好有evc++4.0和ppc2003模擬器,還有mapx mobile,沒有都可以去官方網站上下載-AES with MapX mobile PDA development of the GIS system, the main function of MapInfo are included in the inside. Your computer is the best and ppc2003 AES Simulator 4.0, MapX mobile, can not go on the official website of the download

    標簽: evc mobile 2003 mapx

    上傳時間: 2016-12-06

    上傳用戶:asddsd

  • What is Verilog? ➥ Verilog HDL is a Hardware Description Language (HDL) ➥ Verilog HDL

    What is Verilog? ➥ Verilog HDL is a Hardware Description Language (HDL) ➥ Verilog HDL allows describe designs at a high level of abstraction as well as the lower implementation levels ➥ Primary use of HDLs is the simulation of designs ➥ Verilog is a discrete event time Simulator  What is VeriWell? ➥ VeriWell is a comprehensive implementation of Verilog HDL

    標簽: Verilog HDL 10149 Description

    上傳時間: 2017-02-18

    上傳用戶:

  • The paper describes the concept and realization of the DOOCS control software for FPGAbased TESLA c

    The paper describes the concept and realization of the DOOCS control software for FPGAbased TESLA cavity controller and Simulator (SIMCON). It bases on universal software components, created for laboratory purposes and used in MATLAB based control environment. These modules have been recently adapted to the DOOCS environment to ensure a unified software to hardware communication model. The presented solution can be also used as a general platform for control algorithms development. The proposed interfaces between MATLAB and DOOCS modules allow to check the developed algorithm in the operation environment before implementation in the FPGA. As the examples two systems have been presented.

    標簽: realization FPGAbased describes the

    上傳時間: 2017-04-16

    上傳用戶:koulian

  • MIMOSimulator

    mimo matlab Simulator

    標簽: mimo matlab

    上傳時間: 2015-05-02

    上傳用戶:zw123n

  • DAKOTA

    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

    標簽: Optimization and Uncertainty Quantification

    上傳時間: 2016-04-08

    上傳用戶:huhu123456

  • simplescalar manal

    simple scalar Simulator user guide! 

    標簽: simplescalar manal

    上傳時間: 2016-05-26

    上傳用戶:hitlitao

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