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Zwaneveld (1997) also studied a routing problem for train units over railway infrastructure. In this problem, one is looking for a set of routes for trains in a 1-hour period where arrival and departure times are xed. He develops a solution approach based on state of the art techniques from the eld of Operations Research. This approach is applied to a number of railway stations in the Netherlands. Compared to the problem of Zwaneveld, our problem is complicated by the exible start and end times, the fact that infrastructure can already be reserved for certain time intervals for (for example) through-trains, the splitting and recombining of train units, and a different planning period (typically 24 hours instead of 1 hour). 15.3. SOLUTION APPROACH For practical instances, the TUSP becomes far too large to be solved as one integrated optimization problem. Therefore, the problem is decomposed in four parts, and we developed a four-step algorithmic solution approach that assists planners in creating parts of the shunt plan. The decomposed approach enables planners to view and possibly modify partial solutions between the steps. The four steps are: Step Step Step Step 1. 2. 3. 4. Matching arriving to departing train units Estimating routing costs of train units Parking of train units on shunt tracks Routing of train units
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Figure 11-7 The format of the S-frame
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//.. Other Imports //JPA Imports ... import javax.persistence.Entity; @Entity @Inheritance(strategy=InheritanceType.JOINED) public class PixUser { @Id private String userName; private String firstName; private String lastName; private String email; private String password; //... remaining fields
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where Ig is the gate current, and K1 , K2 and K3 are functions of resistances and capacitances [87, 88]; their expressions are given in Appendix A.2. As in the previous case, not all equations have been considered: the Z11 parameter does not usually yield reliable results. Plotting the measured data versus frequency, a suitable frequency range is identi ed for the extraction of the parameter; for example, the real part of the Z12 parameter is better evaluated at relatively high frequency (Figure 3.49). The extracted value depends on the value of the gate current Ig : the corresponding term can be eliminated by repeating the measurement for several current values and extrapolating to Ig 0 (Figure 3.50). From this bias condition, the source and drain inductances are found, and two equations in the three unknown resistances Rs , Rd and Rchannel are found. The third cold bias condition is somehow in between the other two: the channel is open, and controlled by the gate source voltage. The equations relative to the impedance Z-parameters are
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Additional resources can be found on the book's Web site at http : //www . wi l ey . com/ col l ege/horstmann. These resources include:
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The method print_stats([restrictions...]) prints the statistics. You can pass one or more arguments to filter which lines are printed. Pass an integer, n, to print only the first n lines. Pass a decimal between 0 and 1 to print that percentage of the lines. Or, pass a regular expression (as a string) to print only lines whose file name matches the regular expression.
1. MPEG can be applied to both black and white, and color videos. 2. In video, high-compression ratios come from the time domain compression plus standard compression methods in the spatial domain (as described in this chapter). To obtain high compression ratios and retain reasonable video quality, the change of objects of interest with respect to time should be minimal from one frame to the next. And each video frame should not have too many sharpedged objects. 3. MPEG compression is accomplished by four steps: preprocessing, temporal predication, motion compensation, and quantization coding. During preprocessing, the smaller subsets (like object movement) in the video frames are determined; other subsets can just duplicate themselves from frame to frame (hence the high compression ratio). Quantization coding could be like the discrete cosine transform described in Section 6.4. Temporal predication and motion compensation (see Items 7, 8, 9) are discussed in following paragraphs. 4. MPEG uses multiple video frames to perform compression in the time domain. 5. Compression is performed by dividing the video into many temporal compression groups, each made up of three types of video frames. 6. There are three types of frame: one intra-coded and two inter-coded frames. The I-frames, or intra-coded frames, are used as reference frames of the original video. One out of 10 to 15 frames on average in each temporal compression group is an I-frame. The P-frames and the B-frames are inter-coded frames. The P-frames are forward predicted from the nearest I-frame or P-frame if available. The B-frames are bi-directional, so they use predicted data from the nearest preceding or following I-frame and P frame (see Fig. 6.21). In each temporal compression group consisting of all three types of frames, one frame is the I-frame. 7. Predications include the pixel (or object) forward and/or backward movement, and the change of pixel value from predicted frames. 8. Trained motion vectors from knowledge derived from the original 4-D image set are used to translate and shift the pixels (objects) after predictions. 9. Iterative prediction error compensation based on knowledge is used to obtain better results. Figure 6.21 illustrates the MPEG concept. In medical imaging for example, in 4-D US and 4-D cardiography knowledge on motion vectors and predication error compensation can be obtained from large clinical samples besides from the current
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