Recognizing its importance is only the fist step to advocate invetion or innovation， and some effective measures should be taken for it. For one thing， our authority should continue to enlarge the recruit of graduate. For another， the conditions of scientists and skilled workers should be further improved. Only in this way， can “the soul of our nation” be fully embodied and our nation have a brighter future.
Testing software components is of utmost importance for a development organization. This book delves into steps that are involved in testing .NET based components and blocks.
Abstract: This article discusses future trends in the design of smartphones and other consumer products. The discussion focuses onthe importance of integration, which saves valuable PCB space and drives down costs.
Abstract: This application note discusses the REF pin functionality in the indirect current-feedbackarchitecture for instrumentation amplifiers. This article compares the importance of a REF buffer in a
內容如下：
1.The history of the computerized database
2.SQL Data Statements--those used to create, manipulate, and retrieve data stored in your database example statements include select, update, insert, and delete
3.SQL Schema Statements--those used to create database objects, such as tables, indexes, and constraints
4.How data sets can interact with queries
5.The importance of subqueries
6.Data conversion and manipulation via SQL s built-in functions
7.How conditional logic can be used in Data Statements
The EM algorithm is short for Expectation-Maximization algorithm. It is based on an iterative optimization of the centers and widths of the kernels. The aim is to optimize the likelihood that the given data points are generated by a mixture of Gaussians. The numbers next to the Gaussians give the relative importance (amplitude) of each component.
In this article, we present an overview of methods for sequential simulation from posterior distributions.
These methods are of particular interest in Bayesian filtering for discrete time dynamic models
that are typically nonlinear and non-Gaussian. A general importance sampling framework is developed
that unifies many of the methods which have been proposed over the last few decades in several
different scientific disciplines. Novel extensions to the existing methods are also proposed.We showin
particular how to incorporate local linearisation methods similar to those which have previously been
employed in the deterministic filtering literature these lead to very effective importance distributions.
Furthermore we describe a method which uses Rao-Blackwellisation in order to take advantage of
the analytic structure present in some important classes of state-space models. In a final section we
develop algorithms for prediction, smoothing and evaluation of the likelihood in dynamic models.
Surface profile measurement by noncontact optical methods has been extensively studied because of its importance in automated manufacturing, component quality control, medicine, and robotics. In most of these methods a known periodic pattern,
