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

By Mirsad Hadžikadić, Samir Avdaković

This quantity spans a variety of technical disciplines and applied sciences, together with advanced platforms, biomedical engineering, electric engineering, strength, telecommunications, mechanical engineering, civil engineering, and computing device technological know-how. The papers integrated during this quantity have been provided on the overseas Symposium on leading edge and Interdisciplinary functions 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 facets and kinds of structures. platforms pondering is essential for effectively development and figuring out man-made, common, and social platforms.

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Examples of service robots application for treatment of patients at a distance are shown in Fig. 13. Service robots are used in helping the disabled and rehabilitating patients in rehabilitation centres. An example of such service robots is shown in Fig. 14. Rehabilitation robots help the disabled in activities that they cannot perform on their own, or are involved in therapies for people to improve their physical functions. Areas of rehabilitation robots are general divided into therapy and robot’s assistance.

Hodžić and Tarik Namas Abstract The paper discusses an important class of defense and commercial applications in the context of Ground Target (Object) Identification, Classification, and Tracking. The data base of target digital signatures is assembled and formed for a full spatial circle (360°) analysis from such sources as High Resolution Radar and Synthetic Aperture Radar. These digital signatures are analyzed from which various spatial as well as frequency (wavelet) characteristics of the targets are formed and interpreted, in order to make good estimate of target pose angle.

This will act as an initial estimate of pose and will identify the target type as well. Further use of other statistics will improve the estimate. That is the basic idea in our approach. The following example illustrates the approach. We chose a random synthetic target at 224th position in the synthetic target data base (Fig. 11 for simulated raw pixels, Fig. 13 for averaged X and Y signatures). After solving the equations for X1, X2, and X3 we get the first estimate of the target geometry and pose (Table 2).

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