Download e-book for iPad: Advanced Technologies, Systems, and Applications by Mirsad Hadžikadić, Samir Avdaković

By Mirsad Hadžikadić, Samir Avdaković

ISBN-10: 3319472941

ISBN-13: 9783319472942

ISBN-10: 331947295X

ISBN-13: 9783319472959

This quantity spans quite a lot of technical disciplines and applied sciences, together with advanced structures, biomedical engineering, electric engineering, power, telecommunications, mechanical engineering, civil engineering, and desktop technological know-how. The papers integrated during this quantity have been offered on the overseas Symposium on leading edge and Interdisciplinary purposes of complex applied sciences (IAT), held in Neum, Bosnia and Herzegovina on June 26 and 27, 2016. This hugely interdisciplinary quantity is dedicated to varied elements and kinds of platforms. platforms pondering is important for effectively construction and knowing man-made, average, and social platforms.

Show description

Read Online or Download Advanced Technologies, Systems, and Applications PDF

Best networks books

Download e-book for iPad: Get Clients Now! by C. J. Hayden

"Get consumers Now! " has helped millions of self sufficient execs dramatically bring up their shopper base. With this uniquely sensible consultant, it's effortless to interchange scattershot advertising and marketing and networking efforts with confirmed and precise strategies. utilizing an easy cookbook version, the publication is helping readers determine the elements lacking from their present advertising actions, pick out the correct innovations and instruments from a menu of ideas, and create a very custom-made motion plan.

Space Division Multiple Access for Wireless Local Area - download pdf or read online

Instant neighborhood zone Networks (WLANs) are experiencing a transforming into significance lately. while WLANs have been basically used for area of interest functions long ago, they're now deployed as instant extensions to laptop networks. the rise of the datarates from 2 Mbps as much as eleven Mbps for approximately a continuing rate has performed an immense function during this step forward.

Read e-book online Neural Networks for Identification, Prediction and Control PDF

In recent times, there was a becoming curiosity in utilising neural networks to dynamic platforms id (modelling), prediction and regulate. Neural networks are computing structures characterized through the facility to benefit from examples instead of having to be programmed in a traditional feel. Their use allows the behaviour of advanced platforms to be modelled and envisioned and actual keep watch over to be completed via education, with no priori information regarding the structures' constructions or parameters.

Extra info for Advanced Technologies, Systems, and Applications

Sample text

Our methodology is applicable to other defense as well as commercial areas, such as traffic control and possible facial recognition also. 2 Target Signature Data Base Basic target and sensor platform geometry is given in Fig. 1. In [1] we used three signatures for analysis, and they are repeated here as a reference in Fig. 2 (raw continuous data) and Fig. 3 (16 digitized signature values). In [2] we expanded our spatial analysis to many more targets, digitization was at the level of 32 and 64 data points, and we also defined a synthetic target as a reference in statistical testing.

In general, this still does not mean we found the correct pose, it is an initial estimate only. More statistical tests can be done to find the correct pose. We check the result (pose 225) by comparing X and Y signature variances. Without going into the details, we obtain the same pose 225 estimate. At this point we can continue with more statistical tests to fine tune the estimate to correct pose 224 or be satisfied with estimate at 225. For the real signatures there may be some additional pose estimation errors hence more tests could be required.

For example we correlate X(1, j) with X(2, j), then with X (3, j), and with X(4, j), assuming the same pose angle j, against independence or uncorrelated (orthogonal) assumption. Each of correlations produces an envelope for 274 poses, for total of 4 envelopes. In view of that, we use cross covariance and correlations to test lack of correlation, and also classic Chi-square and newly introduced Brownian Distance Covariance [19], to test for independence among various target signatures. Also, when a “real time” target signature is acquired, it will also be tested against all other four sets of stored target signatures.

Download PDF sample

Advanced Technologies, Systems, and Applications by Mirsad Hadžikadić, Samir Avdaković


by William
4.0

Rated 4.69 of 5 – based on 49 votes