data flow task part 2—transformations
Advanced Verification Flow part 2
... Assertion checks can be used with the traditional verification flow described in Section 15.1, Traditional Verification Flow Assertion checks are placed by the designer at critical points ... design as "proven." Figure 15-8 shows the verification flow with a formal verification tool In the best case, the tool either proves a particular assertion absolutely or provides a counter-example ... extensive simulation test suites Figure 15-9 shows the verification flow with a semi-formal tool Figure 15-9 Semi-formal Verification Flow Formal and semi-formal verification methods have recently...
Ngày tải lên: 20/10/2013, 16:15
Statistical Description of Data part 2
... the data s width around its central value: The values obtained from equations (14.1.2) or (14.1.3) will not converge with increased numbers of points, nor show any consistency from data set to data ... e.g., trying to substantiate a questionable hypothesis with marginal data. ) As the mean depends on the first moment of the data, so the variance and standard deviation depend on the second moment ... term #include void moment(float data[ ], int n, float *ave, float *adev, float *sdev, float *var, float *skew, float *curt) Given an array of data[ 1 n], this routine returns its mean...
Ngày tải lên: 24/10/2013, 15:15
Tài liệu Modeling of Data part 2 doc
... errors, then you might wish to Monte Carlo simulate some data sets drawn from a particular model, cf §7.2–§7.3 You can then subject these synthetic data sets to your actual fitting procedure, so as to ... the phrase, “ plus or minus some fixed ∆y on each data point.” So let’s always take this phrase as understood If the probability of obtaining the data set is infinitesimally small, then we can conclude ... our intuition tells us that the data set should not be too improbable for the correct choice of parameters In other words, we identify the probability of the data given the parameters (which...
Ngày tải lên: 15/12/2013, 04:15
Power Quality Harmonics Analysis and Real Measurements Data Part 2 docx
... algorithms are used in this study; LES, LAV, and discrete Fourier transform (DFT) The data used in this study are real data from a three-phase six pulse converter The three techniques are thoroughly ... on the performance of the three algorithms when 10% of the data is missed, taken uniformly at equal intervals starting from the first data point, for the noise free signal and 0.1 standard deviation ... for 10% missing data (sampling frequency = 1620 Hz): (a) no noise; (b) 0.1 standard deviation added white Gaussian noise 20 Power Quality Harmonics Analysis and Real Measurements Data Figure 12...
Ngày tải lên: 19/06/2014, 08:20
Two Phase Flow Phase Change and Numerical Modeling Part 2 pdf
... compartments corresponding to inlet and outlet of the coil: air flows from one compartment to the other through a duct enclosing the coil Air circulation is maintained by a blower The compartments ... transfer area (14) 36 Two Phase Flow, Phase Change and Numerical Modeling Amin: minimum free flow area through which air passes across the coil β: ratio of free -flow to frontal area The air friction ... changing refrigerant is high and varies 28 Two Phase Flow, Phase Change and Numerical Modeling with flow regimes occurring along the tube passes Flow on the secondary surfaces (outside of tubes and...
Ngày tải lên: 19/06/2014, 12:20
Data Acquisition Part 2 doc
... Data Acquisition Systems 1University Leopoldo Angrisani1 and Michele Vadursi2 of Naples Federico II, Department of Computer Science and Control Systems 2University of Naples “Parthenope”, Department ... applications for data- acquisition, the clock synchronization of the time reference across the network is essential in order to support: • Data fusion of the measures obtained using distributed data acquisition ... Section and Clock synchronization for distributed data acquisition systems are discussed in Section Real 42 Data Acquisition examples of synchronized data acquisition systems for industrial applications...
Ngày tải lên: 20/06/2014, 06:20
Data Acquisition Part 2 pptx
... Data Acquisition Systems 1University Leopoldo Angrisani1 and Michele Vadursi2 of Naples Federico II, Department of Computer Science and Control Systems 2University of Naples “Parthenope”, Department ... DAS can be analyzed with means similar to those presented in this chapter In particular, the optimal levels of 22 Data Acquisition noise for nonlinear DAS are considerably higher than those derived ... different application fields consist of an analogue front-end, a data acquisition section, and a processing section A key role is played by the data acquisition section, which is mandated to the digitization...
Ngày tải lên: 21/06/2014, 01:20
Algorithms and Data Structures in C part 2 doc
... in Table 1.4 Previous Table of Contents Next Copyright © CRC Press LLC Algorithms and Data Structures in C++ by Alan Parker CRC Press, CRC Press LLC ISBN: 0849371716 Pub Date: 08/01/93 ... due to the fact that many processors use different sizes for their operands As a result, to move data from one processor to another requires a conversion A typical problem might be to convert 32-bit...
Ngày tải lên: 02/07/2014, 08:21
Managing and Mining Graph Data part 2 docx
... different shades of gray) Query and database graphs Query Semantics for Keyword Search 𝑄 = {𝑥, 𝑦} on XML Data Schema Graph The size of the join tree is only bounded by the data Size Keyword matching and ... 2-hop Distance Aware Cover (Figure in 10) The Algorithm Steps (Figure in 10) Data Graph (Figure 1(a) in 12) A Graph Database for 𝐺𝐷 (Figure in 12) Different kinds of graphs: (a) undirected and ... that generates a co-authorship graph from the DBLP dataset A possible execution of the Figure 4.12 query The translation of a graph into facts of Datalog 84 85 87 88 93 96 103 105 106 109 112 128...
Ngày tải lên: 03/07/2014, 22:21
Data Mining and Knowledge Discovery Handbook, 2 Edition part 2 pptx
... Contents XI 24 Using Fuzzy Logic in Data Mining Lior Rokach 505 Part V Supporting Methods 25 Statistical Methods for Data Mining Yoav Benjamini, ... 641 33 Data Mining Query Languages Jean-Francois Boulicaut, Cyrille Masson 655 Part VI Advanced Methods 34 Mining Multi-label Data Grigorios Tsoumakas, ... Salvatore Rinzivillo 855 45 Data Mining for Imbalanced Datasets: An Overview Nitesh V Chawla 875 46 Relational Data Mining Saˇo Dˇ eroski ...
Ngày tải lên: 04/07/2014, 05:21
data structures algorithms in java 4th part 2
... discussed in this section 468 An efficient realization of a priority queue uses a data structure called a heap This data structure allows us to perform both insertions and removals in logarithmic ... informally said to be "at the top of the heap"; hence, the name "heap" for the data structure By the way, the heap data structure defined here has nothing to with the memory heap (Section 14.1.2) ... entries in a list and take the approach of storing entries in a binary tree instead 8.3.1 The Heap Data Structure A heap (see Figure 8.3) is a binary tree T that stores a collection of entries at...
Ngày tải lên: 17/07/2014, 09:31
Data Analysis Machine Learning and Applications Episode 1 Part 2 potx
... training data set with 3000 and a test data set containing 1000 observations 3.2 Results We apply the local classification methods and global LDA to the simulated data sets and obtain 1280 test data ... The LDGPs may cause, for example, a division of the data set at hand into several clusters containing data of one or more classes For such data structures global standard methods may lead to ... beneficial in case of local data generating processes (LDGPs) That is, there is a finite number of sources where each one can produce data of several classes The local data generation by individual...
Ngày tải lên: 05/08/2014, 21:21
Data Analysis Machine Learning and Applications Episode 2 Part 2 ppsx
... field data from the automotive business Introduction Mining sequences from temporal data is a well known data mining task which gained much attention in the past (e.g Agrawal and Srikant (1995), Mannila ... large databases In: Proc of the ACM SIGMOD Int Conf on Management of Data (ACM SIGMOD ’93) 207–216 AGRAWAL, R and SRIKANT, R (1995): Mining sequential patterns In: Proc of the 11th Int Conf on Data ... of the 17th Int Conf on Data Engineering (ICDE ’01) 215–224 WINARKO, E and RODDICK, J F (2005): Discovering Richer Temporal Association Rules from Interval-Based Data In: Data Warehousing and Knowledge...
Ngày tải lên: 05/08/2014, 21:21
Data Analysis Machine Learning and Applications Episode 3 Part 2 pdf
... starting from a view on the plain recommendation task without attributes, we make a ground evaluation comparing different tag recommender algorithms on real data Introduction The process of building ... items I A set S ⊆ R of possible ratings where r : U × I → S is a partial function that associates ratings to user/item pairs In datasets r typically is represented as a list of tuples (u, i, r(u, ... tags, which recommend the most used tags in the sample dataset, (ii) a most popular tag by resource, which recommends the most used tags for a particular resource (in our case an artist), (iii) a...
Ngày tải lên: 05/08/2014, 21:21