java3D game engine design of the source [three-dimensionalvirtualrealitynetworkprogram] - "virtual reality 3D network programming language VRML -- second-generation network programming language" CD Distribution
標簽： three-dimensionalvirtualrealityne tworkprogram virtual java3D
上傳時間： 2013-12-10
上傳用戶：498732662
) Compression using huffman code -with a number of bits k per code word -provide huffman table Huffman coding is optimal for a symbol-by-symbol coding with a known input probability Distribution.This technique uses a variable-length code table for encoding a source symbol. The table is derived in a particular way based on the estimated probability of occurrence for each possible value of the source symbol .Huffman coding uses a specific method for representing each symbol, resulting in a prefix code that expresses the most common characters using shorter strings of bits than those used for less common source symbols.The Huffman coding is a procedure to generate a binary code tree.
標簽： code Compression huffman provide
上傳時間： 2017-05-30
上傳用戶：yuchunhai1990
Introduction to Kernel Extension Concepts 1:Hello Kernel: Creating a Kernel Extension With Xcode 2:Hello I/O Kit: Creating a Device Driver With Xcode 3:Hello Debugger: Debugging a Device Driver With GDB 4:Packaging Your KEXT for Distribution and Installation 5:Loading Kernel Extensions at Boot Time 6:Kernel Extension Dependencies 7：Kernel Extension Ownership and Permissions
標簽： Kernel Extension Introduction Concepts
上傳時間： 2013-12-31
上傳用戶：tuilp1a
This toolbox implements the same methods on small dadta sets and imlements a trimming method using a random uniform Distribution to quickly process large data sets.
標簽： implements imlements trimming toolbox
上傳時間： 2017-07-28
上傳用戶：helmos
DLMS 編輯 本詞條缺少名片圖，補充相關內容使詞條更完整，還能快速升級，趕緊來編輯吧！ 配電線報文規范(Distribution Line Message Specification) [IEC 62056-53]是應用層規范，獨立于應用層以下的各個低層，因而也就與通信信道無關，設計用于在計算機集成環境中支持與（能量）分配設備間的消息交換，是由IEC TC57建立并以IEC 61334-4-41發布的國際標準。 中文名 配電線報文規范 外文名 Distribution Line Message Specification) 建立者 IEC TC57 應用領域 于抄表、遠程控制以及增值服務等 這個概念被進一步發展成為設備語言報文規范，其目的在于為結構化建模和儀表數據交換提供一個互操作環境，支持任何能量類型如電、水、氣或熱的計量，應用于遠程抄表、遠程控制以及增值服務
上傳時間： 2016-04-07
上傳用戶：auqaiss
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
萊斯分布的概率密度函數、累積分布函數及其它相關分析
標簽： Distribution Rice
上傳時間： 2016-10-23
上傳用戶：jczuoyi
前言：My journey to learn and better understand Linux began back in 1998. I had just installed my first Linux Distribution and had quickly become intrigued with the whole concept and philosophy behind Linux. 這是英文原版的很清晰，希望能幫助到對linux感興趣的朋友。
上傳時間： 2018-11-18
上傳用戶：jieren002
使用matlab實現gibbs抽樣，MCMC: The Gibbs Sampler 多元高斯分布的邊緣概率和條件概率 Marginal and conditional Distributions of multivariate normal Distribution
上傳時間： 2019-12-10
上傳用戶：real_
Smart Grids provide many benefits for society. Reliability, observability across the energy Distribution system and the exchange of information between devices are just some of the features that make Smart Grids so attractive. One of the main products of a Smart Grid is to data. The amount of data available nowadays increases fast and carries several kinds of information. Smart metres allow engineers to perform multiple measurements and analyse such data. For example, information about consumption, power quality and digital protection, among others, can be extracted. However, the main challenge in extracting information from data arises from the data quality. In fact, many sectors of the society can benefit from such data. Hence, this information needs to be properly stored and readily available. In this chapter, we will address the main concepts involving Technology Information, Data Mining, Big Data and clustering for deploying information on Smart Grids.
標簽： Processing Cities Smart Data in
上傳時間： 2020-05-23
上傳用戶：shancjb
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