... 153 11.3.5 The final, final report: Ready for prime time 154 11.4 Final report elements for the Danbury arm support 155 11.4.1 Rough outlines of two project reports 155 11.4.2 A TSO for the Danbury ... 11.3 The project report: Writing for the client, not for history 150 11.3.1 The purpose of and audience for the final report 151 11.3.2 The rough outline: Structuring the final report 151 11.3.3 ... Informing a design process 24 2.3.1 Informing a design process by thinking strategically 24 2.3.2 Informing a design process with formal design methods 2.3.3 Acquiring design knowledge to inform...
Ngày tải lên: 10/03/2016, 13:35
... decade o f rapid progress in research, the time appears ripe for introducing fracture mechanics into design practice This should not only bring about more uniform safety margins, thus improving safety ... determination o f the characteristic length for nonlocal continuum models and the strain-softening properties is then examined, and material parameters for modes II and Ill, shear fractures and ... cyclic loading Chapter is devoted t o the effect of reinforcing bars and their bond slip on fracture propagation, and t o fracture of fiber-reinforced concrete Chapter deals with more theoretical...
Ngày tải lên: 24/10/2014, 21:58
Data Streams Models and Algorithms- P1
... StreamMining: Final Algorithm The Forward Time Slice Density Estimate The Reverse Time Slice Density Estimate The Temporal Velocity Profile The Spatial Velocity Profile A tilted time frame with natural time ... H-tree structure for cube computation Cube computation: time and memory usage vs # tuples at the m-layer for the data set D5L3C10 Cube computation: time and space vs # of dimensions for the data ... summary information as the cluster feature vector of [24], except for the additional information about time stamps We will refer to this temporal extension of the cluster feature vector for a set...
Ngày tải lên: 08/11/2013, 02:15
Data Streams Models and Algorithms- P2
... follows: + LEMMA Let h be a user specijied time horizon, t, be the current time, and 2.3 t, be the time of the last stored snapshot of any orderjust before the time t, - h Then t, - t, < (1 + l/az-l) ... the case for evolving data streams Consider for example, a data stream in which the records for a given class arrive for a period, and then subsequently start arriving again after a time interval ... running starting at a clock -time of 1, and a use of a = and = Therefore 22 = snapshots of each order are stored Then, at a clock time of 55, snapshots at the clock times illustrated in Table 2.1...
Ngày tải lên: 08/11/2013, 02:15
Data Streams Models and Algorithms- P3
... other words, the time for processing the example is lower than the time required to read it from disk This is because of the Hoeffding tree-based approach with a crisp criterion for tree growth ... time threshold for the training, we come up with a matrix represented in Table 3.3 Using Table 3.3, the unlabeled data records could be classified as follows According to the available time for ... and current timepoint t, we are interested in the frequent pattern time in the window W [t - w 1,t] As time changes, the window will keep its size and move along with the current time point In...
Ngày tải lên: 08/11/2013, 02:15
Tài liệu Data Streams Models and Algorithms- P4 doc
... data stream, we monitor the counts for an itemset at each time point Clearly, this sequence of counting information for a given itemset can be formulated as a time series Inspired by such observation, ... disk-resident datasets for frequent itemsets mining, sampling data streams brings some new issues For example, the underlying distribution of the data stream can change from time to time Therefore, sampling ... have arrived in the time window (t - ht,t) We intend to estimate the rate of increase in density at spatial location X and time t by using two sets of estimates: the forward time slice density...
Ngày tải lên: 15/12/2013, 13:15
Tài liệu Data Streams Models and Algorithms- P5 docx
... time frame with natural time partition Figure 6.2 A tilted time frame with logarithmic time partition A natural tilted timeframe model is shown in Fig 6.1, where the time frame is structured ... no 11 II Snapshots (by clock time) I 69 67 65 Figure 6.3 A tilted time frame with progressive logarithmic time partition Thus, for each granularity level of the tilt time frame, there might be ... tilted time frame, for storing and propagating measures in the computation This tilted time frame model is sufficient to handle usual time- related queries and mining, and at the same time it...
Ngày tải lên: 15/12/2013, 13:15
Tài liệu Data Streams Models and Algorithms- P6 pdf
... O(1) time and for each new element, and which enable us to give a count estimate in O(1) time whenever a query is asked If instead of maintaining a timestamp for every bucket, we maintain a timestamp ... timestamp We will maintain histograms for the active 1's in the data stream For every bucket in the histogram, we keep the timestamp of the most recent (called timestamp for the bucket), and the number ... queries in O(1) time The (log algorithm for insertion requires o(? N log R)) time per new element Most of the time is spent in Step 3, where we make the sweep to combine buckets This time is proportional...
Ngày tải lên: 15/12/2013, 13:15
Tài liệu Data Streams Models and Algorithms- P7 ppt
... method for computation of the wavelet coefficient, and is optimal for the case of the Euclidean error, it is not necessarily optimal for the case of the Lm-metric For example, consider the time ... distances between time series are preserved in this new representation The total number of coefficients is equal to the length of the data stream Therefore, for very large time series or data ... (1,4,5,6) In this case, the wavelet transform is (4, -1.5, -1.5, -0.5) Thus, for B = 1, the optimal coefficient picked is (4,0,0,0) for any Lm-metric However, for the case of L,-metric, the optimal...
Ngày tải lên: 15/12/2013, 13:15
Tài liệu Data Streams Models and Algorithms- P8 doc
... that there are O ( N k) entries for the set Opt(lc, N), and each entry can be computed in O(N) time using the above dynamic programming recursion Therefore, the total time complexity is O(N2 k) ... While many methods for synopsis construction optimize average or worst-case performance, the real aim is to provide optimal results for typical workloads This requires methods for modeling the ... function L, (At) estimating the probability for tuple s to be still cached at time to At Intuitively, if we estimate that x and z will be replaced before the time when their ECBs cross, then x is more...
Ngày tải lên: 15/12/2013, 13:15
Tài liệu Data Streams Models and Algorithms- P9 doc
... query For example, F is SUM for burst detection, MAX-MIN for volatility detection, and DWT for detecting correlations and finding surprising patterns For most real time series, the first f (f ... data streams are monitored over a set of time intervals [31]: "Report all occurrences of Gamma Ray bursts from a timescale of minutes to a timescale of days" Formally, given a bounded window size ... (2) orthogonal transformations, such as discrete wavelet transform (DWT) and discrete fourier transform (DFT), and (3) piecewise linear approximations Normalization is performed in case of DWT,...
Ngày tải lên: 15/12/2013, 13:15
Tài liệu Data Streams Models and Algorithms- P10 docx
... size t (b) Streams n (c) Hidden variables k Figure 12.8 Wall-clock times (including time to update forecasting models) Times for AR and MUSCLES are not shown, since they are off the charts fiom ... our framework for discovering patterns in multiple streams In the next section, we show how these can be used to perform effective, low-cost forecasting We use auto-regression for its simplicity, ... ALGORITHMS Exponential forgetting We can adapt to more recent behaviour by using an exponential forgetting factor, < X < This allows us to follow trend drifts over time We use the same X for the estimation...
Ngày tải lên: 15/12/2013, 13:15
Tài liệu Data Streams Models and Algorithms- P11 doc
... is to identify anomalies in real -time or as close to real time as possible thus making it a natural candidate for many streaming applications Moreover, often times the data is produced at disparate ... sliding windows The discrete Fourier transform is computed incrementally, and kMeans clustering is performed in this transformed space at regular intervals of time Data streams belonging to the same ... minimize resource consumption during times of peak load This operator scheduling strategy for data stream systems is near-optimal in minimizing run -time memory usage for single-stream queries involving...
Ngày tải lên: 15/12/2013, 13:15
Tài liệu Data Streams Models and Algorithms- P12 ppt
... obtained ( at time k for which, xi = I and pa,, = j, and we can set aijl k ) = aijl k ) Nijl( k 1) Note that Nijl( k ) are a set of sufficient statistics for the ( data observed at time k For online ... continuously as observations For example, about 10,000 traffic sensors are deployed in California highways to report traffic status continuously The energy source for the nodes are either AA batteries ... of time from each other to satisfy the query predicate [23] studied various forms of such window join queries and proposed backward and forward evaluation algorithms BEW-join and FEWjoin for...
Ngày tải lên: 15/12/2013, 13:15
Tài liệu Data Streams Models and Algorithms- P13 docx
... Wavelets for Multiple Measures, 182 Feature Extraction for Indexing, 243 Fixed Window Sketches for Time Series, 185 Forecasting Data Streams, 261 Forward Density Profile, 91 Frequency Based Model for ... Load sheddinifor Aggregation Queries, 128 Loadshedding for classification aueries, 145 Loadstar, 145 LWClass Algorithm, 49 MAIDS, 117 Markov Inequality, 173 Maximum E m r Metric for Wavelets, ... Window Model, 149 Sliding Window Model for Frequent Pattern Mining, 63 Spatial Velocity Profiles, 95 SPIRIT, 262 State Management for Stream Joins, 213 Statistical Forecasting of Streams, 27 STREAM,...
Ngày tải lên: 15/12/2013, 13:15
08 TAYLOR MODELS AND OTHER VALIDATED FUNCTIONAL INCLUDING METHOD MAKINO & m BERZ
... arguments in the Taylor model framework, for example in the time step for ODE integration [24], [121], or for the solution of implicit equations necessary for DAE solvers [72], [71], [74], where ... (right) for the function sin2 (f ) + cos2 (f ), with f = exp(x + 1), in the domain [2j , 2j ] of various orders in comparison to the interval method and the centered form and mean value form for ... code is highly optimized for performance in that any overhead for addressing of polynomial coecients amounts to less than 30 percent of the oating point arithmetic necessary for the coecient arithmetic...
Ngày tải lên: 12/01/2014, 21:47
Tài liệu 44 Speech Production Models and Their Digital Implementations ppt
... lungs at a rate which may be as low as 60 times per second for some c 1999 by CRC Press LLC • • • • • males to as high as 400 or 500 times per second for children All vowels are produced in this ... plotted as a function of frequency, for a short segment of speech surrounding a specified time instant A logarithmic scale is used for power and a linear scale for frequency In c 1999 by CRC Press ... values of φ and at x = and x = L For an arbitrarily specified area function A(x) the functions φ and ψ are hard to find However, for a uniform tube, i.e., a tube for which the area and the losses...
Ngày tải lên: 22/01/2014, 12:20
Tài liệu SLEEP-RELATED BREATHING DISORDERS EXPERIMENTAL MODELS AND THERAPEUTIC POTENTIAL docx
... systems already are proving valuable for exploring maturational aspects of cardiorespiratory control as they may contribute to SRBD For example, the importance of sleep continuity in the neonate for ... (54,61) Prevalence rates for apnea index greater than 5/hr are wide ranging: 28–67% for elderly males and 20–54% for elderly females (61) Several studies of elderly subjects reported correlations ... method for measuring daytime sleepiness: the Epworth sleepiness scale Sleep 1991; 14:540–545 Engleman, H M., Cheshire, K E., Deary, I J., and Douglas, N J Daytime sleepiness, cognitive performance...
Ngày tải lên: 14/02/2014, 17:20
Tài liệu Research "INFORMATION SYSTEM QUALITY : AN EXAMINATION OF SERVICE-BASED MODELS AND ALTERNATIVES " doc
Ngày tải lên: 18/02/2014, 11:20
Tài liệu ADJUSTING STATED INTENTION MEASURES TO PREDICT TRIAL PURCHASE OF NEW PRODUCTS: A COMPARISON OF MODELS AND METHODS doc
Ngày tải lên: 19/02/2014, 03:20