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 (台灣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)
上传时间： 2016-11-03
上传用户：huangld
UM-OLSR is an OLSR (Optimized Link State Routing protocol) implementation for the ns2 network SImulator.
标签： implementation Optimized protocol UM-OLSR
上传时间： 2016-11-06
上传用户：zaizaibang
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++.
标签： implementation On-demand protocol Dynamic
上传时间： 2016-11-07
上传用户：tianyi223
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
标签： general-performanc benchmarks Dhrystone dhrystone
上传时间： 2016-11-30
上传用户：hphh
evc与mapx mobile 在PDA上开发的GPS接收器。你的电脑上最好有evc++4.0和ppc2003模拟器，还有mapx mobile，没有都可以去官方网站上下载-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
上传时间： 2016-12-06
上传用户：asddsd
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
标签： Verilog HDL 10149 Description
上传时间： 2017-02-18
上传用户：
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.
标签： realization FPGAbased describes the
上传时间： 2017-04-16
上传用户：koulian
mimo matlab SImulator
标签： mimo matlab
上传时间： 2015-05-02
上传用户：zw123n
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
标签： Optimization and Uncertainty Quantification
上传时间： 2016-04-08
上传用户：huhu123456
simple scalar SImulator user guide!
标签： simplescalar manal
上传时间： 2016-05-26
上传用户：hitlitao
