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FRAMEWORK

  • KPI+Evaluation+FRAMEWORK+Discussion+Document

    The Home Gateway Initiative (HGI) is a non-profit making organization which publishes guidelines, requirements documents, white papers, vision papers, test plans and other documents concerning broadband equipment and services which are deployed in the home.

    標(biāo)簽: Evaluation Discussion FRAMEWORK Document KPI

    上傳時(shí)間: 2020-06-06

    上傳用戶:shancjb

  • Smart Homes

    In this research, we have designed, developed implemented a wireless sensor networks based smart home for safe, sound and secured living environment for any inhabitant especially elderly living alone. We have explored a methodology for the development of efficient electronic real time data processing system to recognize the behaviour of an elderly person. The ability to determine the wellness of an elderly person living alone in their own home using a robust, flexible and data driven artificially intelligent system has been investigated. A FRAMEWORK integrating temporal and spatial contextual information for determining the wellness of an elderly person has been modelled. A novel behaviour detection process based on the observed sensor data in performing essential daily activities has been designed and developed.

    標(biāo)簽: Smart Homes

    上傳時(shí)間: 2020-06-06

    上傳用戶:shancjb

  • Communication+Networks

    n its FRAMEWORK and Roadmap for Smart Grid Interoperability Standards, the US National Institute of Standards and Technology declares that a twenty-first-century clean energy economy demands a twenty-first-century electric grid. 1 The start of the twenty-first century marked the acceleration of the Smart Grid evolution. The goals of this evolution are broad, including the promotion of widespread and distributed deployment of renewable energy sources, increased energy efficiency, peak power reduction, automated demand response, improved reliability, lower energy delivery costs, and consumer participation in energy management.

    標(biāo)簽: Communication Networks

    上傳時(shí)間: 2020-06-07

    上傳用戶:shancjb

  • Line+Loss+Analysis

    It has been over a decade since the Chinese publication of Line Loss in Electric Power Systems. To keep pace with technological developments, I started a revision as early as 2002, following the main principles that the theoretical FRAMEWORK and characteristics of the first edition should be retained, with new contents added according to new problems after the reform of electric power systems and the new requirements for line loss management practices and in combination with practical experience.

    標(biāo)簽: Analysis Line Loss

    上傳時(shí)間: 2020-06-07

    上傳用戶:shancjb

  • Intelligent Networked Teleoperation Control

    This book describes a unifying FRAMEWORK to networked teleoperation systems cutting across multiple research fields including networked control system for linear and nonlinear forms, bilateral teleoperation, trilateral teleoperation, multilateral teleoperation, cooperative teleoperation, and some teleoperation application examples. Networked control has been deeply studied at the intersection of systems & control and robotics for a long time, and many scholarly books on the topic have been already published. Nevertheless, the approach remains active even in several new research fields, such as bilateral teleoperation, single master and multiple slaves, trilateral teleoperation, and multilateral teleoperation

    標(biāo)簽: Teleoperation Intelligent Networked Control

    上傳時(shí)間: 2020-06-10

    上傳用戶:shancjb

  • Bishop-Pattern-Recognition-and-Machine-Learning

    Pattern recognition has its origins in engineering, whereas machine learning grew out of computer science. However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development over the past ten years. In particular, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general FRAMEWORK for describing and applying probabilistic models. Also, the practical applicability of Bayesian methods has been greatly enhanced through the development of a range of approximate inference algorithms such as variational Bayes and expectation propa- gation. Similarly, new models based on kernels have had significant impact on both algorithms and applications.

    標(biāo)簽: Bishop-Pattern-Recognition-and-Ma chine-Learning

    上傳時(shí)間: 2020-06-10

    上傳用戶:shancjb

  • O2S.Components.PDFRender4NET.dll

    它的主要功能可以被分為3個(gè)主要部分:PDF的創(chuàng)建,PDF的編輯和PDF格式的填充。此庫(kù)對(duì)標(biāo)準(zhǔn).NET框架和壓縮的.NET框架都提供支持。由于PDF4NET的發(fā)布是免費(fèi)的,因此當(dāng)用PDF4NET進(jìn)行開(kāi)發(fā)時(shí),工程的花費(fèi)將會(huì)減少。 PDF4NET是一種.NET庫(kù),它能夠?qū)\(yùn)行中的任意.NET應(yīng)用程序生成和插入pdf文檔。這個(gè)庫(kù)不依賴于任何Adobe產(chǎn)品來(lái)創(chuàng)建和插入pdf文件。它通過(guò)一個(gè)簡(jiǎn)單的對(duì)象模塊把pdf文件復(fù)雜的結(jié)構(gòu)隱藏起來(lái),這個(gè)對(duì)象模塊允許開(kāi)發(fā)者創(chuàng)建復(fù)雜的pdf文件或者用幾行代碼來(lái)插入已有的pdf文件。PDF4NET庫(kù)從屬于GDI+模型,因此減少了學(xué)習(xí)的時(shí)間,提高了工作效率。它使用了基于網(wǎng)格的圖層方法,在文檔頁(yè)面中這種圖層方法允許內(nèi)容的精確定位。最終確定的pdf文件被壓縮以使得該庫(kù)能夠適用于Web應(yīng)用程序。PDF4NET庫(kù)能夠從WinForms and WebForms (ASP.NET)應(yīng)用程序中直接使用而不受任何限制。同時(shí),相同的包包括了該庫(kù)的壓縮.NET框架(Compact .NET FRAMEWORK)版本。這個(gè)庫(kù)是完全用C#來(lái)實(shí)現(xiàn)的,能被完全操縱。 PDF4NET庫(kù)可以提供給每個(gè)開(kāi)發(fā)者,而且它的發(fā)行是免費(fèi)的,這樣就降低了開(kāi)發(fā)者的工程開(kāi)銷(xiāo)。

    標(biāo)簽: PDFRender4NET Components O2S dll

    上傳時(shí)間: 2021-01-14

    上傳用戶:

  • 模型預(yù)測(cè)控制外文教程

    這是一本英文版的MPC的MATLAB教程,講這一塊的資料太少了,故上傳一本。MPC is one of the few areas that has received on-going interest from researchers in both the industrial and cademic communities.Four major aspects of model predictive control make the design methodology attractive to both practitioners and academics.This is particularly attractive to industry where tight profit margins and limits on the process operation are inevitably present. The third aspect is the ability to perform on-line process optimization. The fourth aspect  is the simplicity of the design FRAMEWORK in handling all these complex issues.

    標(biāo)簽: 模型預(yù)測(cè)控制

    上傳時(shí)間: 2022-05-05

    上傳用戶:zhanglei193

  • uCGUIBulider4.0(ucGUI圖形化編輯器)

    此程序用C#開(kāi)發(fā),需要 .Net FRAMEWORK 3.5或跟高版本支持,此軟件不是SEGGER的免費(fèi)軟件,是重新開(kāi)放的,界面非常友好.請(qǐng)將所有文件解壓到同一文件夾下后運(yùn)行.

    標(biāo)簽: ucgui 圖形化編輯器

    上傳時(shí)間: 2022-05-22

    上傳用戶:kent

  • 基于RFID的學(xué)生考勤應(yīng)用系統(tǒng)

    隨著科學(xué)技術(shù)的發(fā)展和計(jì)算機(jī)的深入普及,管理信息的工具已形成了從人工管理到計(jì)算機(jī)輔助管理和計(jì)算機(jī)管理的格局。而對(duì)于信息采集也漸漸的從人工采集到現(xiàn)在的自動(dòng)化采集,這為自動(dòng)化技術(shù)提供了越來(lái)越廣闊的發(fā)展空間,而RFID射頻識(shí)別技術(shù)就在這樣的環(huán)境下的不斷的發(fā)展壯大。本文設(shè)計(jì)了一個(gè)基于RFID的學(xué)生考勤應(yīng)用系統(tǒng),以目前的現(xiàn)有射頻識(shí)別技術(shù),在Microsoft.NET FRAMEWORK SDKv2.0的環(huán)境下,利用Microsoft SQL Server2000作為數(shù)據(jù)庫(kù),選用C#阿視化編程,使得該考勤應(yīng)用系統(tǒng)界面簡(jiǎn)浩大方,而Microsoft SQLServer 2000關(guān)系型數(shù)據(jù)庫(kù)管理系統(tǒng)增強(qiáng)了此考勤應(yīng)用系統(tǒng)的管理功能。本文介紹了我的上述研究開(kāi)發(fā)工作,詳細(xì)描述了基于RFID的學(xué)生考勤應(yīng)用系統(tǒng)的分析、設(shè)計(jì)過(guò)程及實(shí)現(xiàn)方法。

    標(biāo)簽: rfid 學(xué)生考勤系統(tǒng)

    上傳時(shí)間: 2022-06-24

    上傳用戶:

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