Fashion, apparel, textile, merchandising, garments

9. Local Target Classification Amplitude stat. Time series signal Power Spectral Density (PSD) Wavelet Analysis Shape stat. Peak selection Coefficients feature vectors (26 elements) Feature normalization, Principal Component Analysis (PCA) Target Classification (kNN)

11. Performance Gain Using Fusion Target close to A25 Target close to A01 Target close to A11 03 25 11 01

14. Illustration of Localization Node 1 (x1, y1, E1) Node 2 (x2, y2, E2 ) Node 3 (x3, y3, E3 ) (xi, yi): position of the node Ei: target energy sensed by node (Cxi, Cyi): center of the circle Cri: radius of the circle Mobile agent carries (x1, y1, E1) (Cx1,Cy1,Cr1) derived from (x1,y1,E1) and (x2,y2,E2) Carry (x1,y1,E1), (x2,y2,E2), (Cx1,Cy1,Cr1) (Cx2,Cy2,Cr2) derived from (x1,y1,E1) and (x3,y3,E3) (Cx3,Cy3,Cr3) derived from (x2,y2,E2) and (x3,y3,E3) Target position

22. Experimental Setup Multimeter AMD-Athlon Mobile CPU with PowerNow! capability, running RT-Linux v3.0 with LEDF 19V DC current Capacitor Capacitor used to smooth current Multimeter used to read current and voltage values Laptop runs with no battery and display turned off To outlet

23. Experimental Results: SensIT Task Sets 7.0 3.0 2.25 Housekeeping 7.0 2.0 1.5 GUI update 7.0 3.0 2.25 Network Routing 6.0 5.0 5.5 Processing 4.0 3.0 3.3 Classification 2.65 2.0 2.2 Data cache 2.5 2.0 2.2 Data acq. Deadline (ms) Exec. time (ms) # instns (millions) Task 700 700 700 1100 1100 1100 1100 Speed (MHz)

24. Energy Savings 22.31 W 27.08 W 29.38 W Power consumed by LEDF 31.16% 16.3% 13.2% Energy savings Data set 3 Data set 2 Data set 1 Data Set 32.41 W Loose 32.33 W Moderate 33.85 W Tight Power consumed by EDF Deadline

26. Example 12 12 9 8 6 4 3 d i 1 2 1 2 1 2 1 c i 9 8 6 4 3 0 0 a i j 7 j 6 j 5 j 4 j 3 j 2 j 1 Job Before reordering (non-optimal) j 1 j 3 j 5 j 7 j 2 j 4 j 6 j 6  1  2 k 1 k 2 After reordering (optimal) j 1 j 3 j 5 j 7 j 2 j 4  1  2 j 6 k 1 k 2

27. Pruning Technique Complete schedule tree 12 12 9 8 6 4 3 d i 1 2 1 2 1 2 1 c i 9 8 6 4 3 0 0 a i j 7 j 6 j 5 j 4 j 3 j 2 j 1 Job Total # of schedules Total # of vertices 8 66 103 301 EDS E.E EDS E.E

28. Experimental Results Total # of schedules Total # of vertices EDS Savings Savings E.E EDS E.E Job set H=35,J=12 H=40,J=13 H=45,J=14 H=55,J=16 H=60,J=17 H=30,J=11 H=20,J=9 94.5% 17 312 84% 238 1512 99.9% 8123 14x10 6 99.8% 43783 23x10 6 99.8% 3024 1.6x10 6 99.5% 13818 2.9x10 6 99.3% 836 121016 98% 4110 252931 - 208741 DNF - 959872 DNF - 112363 DNF - 592091 DNF - 17187 DNF - 84107 DNF

31. Discharge Profile

32. Recovery Profile