Modelling and Optimization of the Air Operational Manoeuvre

Increasing complexity of the operational environment and advanced technology implementation in combat will probably lead to a serious limitation of human performance in all operational domains and activities in the future. With except of the clear indications, that tactical robotics will outperform human soldiers in many routine tasks on the battlefield, the area of operational decision making (resistible for decades to some automation) seems to be slowly approaching to the same stage. Presented article discusses the fundamental theory of optimization of the air operational maneuver and present the approach to the solution. The solution is highly theoretical and uses a modelling and simulation as an experimental platform to the visualization and evaluation of solution. The problem of air operational maneuver is specific in this case by many variables imposed on initial parametrization of the task (starting and destination point could not be known at the beginning, only \u201cair operational\u201d area should be selected) and very wide search of possible courses of action and the best \u201cmulti criteria\u201d choice identification

Prediction model of alcohol intoxication from facial temperature dynamics based on K-means clustering driven by evolutionary computing

Alcohol intoxication is a significant phenomenon, affecting many social areas, including work procedures or car driving. Alcohol causes certain side effects including changing the facial thermal distribution, which may enable the contactless identification and classification of alcohol-intoxicated people. We adopted a multiregional segmentation procedure to identify and classify symmetrical facial features, which reliably reflects the facial-temperature variations while subjects are drinking alcohol. Such a model can objectively track alcohol intoxication in the form of a facial temperature map. In our paper, we propose the segmentation model based on the clustering algorithm, which is driven by the modified version of the Artificial Bee Colony (ABC) evolutionary optimization with the goal of facial temperature features extraction from the IR (infrared radiation) images. This model allows for a definition of symmetric clusters, identifying facial temperature structures corresponding with intoxication. The ABC algorithm serves as an optimization process for an optimal cluster's distribution to the clustering method the best approximate individual areas linked with gradual alcohol intoxication. In our analysis, we analyzed a set of twenty volunteers, who had IR images taken to reflect the process of alcohol intoxication. The proposed method was represented by multiregional segmentation, allowing for classification of the individual spatial temperature areas into segmentation classes. The proposed method, besides single IR image modelling, allows for dynamical tracking of the alcohol-temperature features within a process of intoxication, from the sober state up to the maximum observed intoxication level.Web of Science118art. no. 99

Persistence Through Collaboration at Sea for Off-Shore and Coastal Operations

Collaboration (Bruzzone et al. 2013a, b, c, d, e, f) is often mentioned as an opportunity to develop new capabilities for autonomous systems; indeed this paper proposes a practical application where use this approach to enhance the autonomy of the systems during operations in coastal areas or around offshore platforms. The proposed case deals with developing a collaborative approach (Bruzzone et al. 2013a, b, c, d, e, f) among an USV (Unmanned Surface Vehicle) with several AUV (Autonomous Underwater Vehicles) to guarantee persistent surveillance over a marine area (Shkurti et al. 2012). Obviously, the proposed solution could be adopted also for defense and homeland security (Bruzzone et al. 2011a, b, 2010) as well as for archeological site protection in consistence with related cost analysis. The authors propose a technological solution as well as a simulation framework to validate and demonstrate the capabilities of this new approach as well as to quantify expected improvements

Clebsch-Gordan Coefficients for the Extended Quantum-Mechanical Poincar\'e Group and Angular Correlations of Decay Products

This paper describes Clebsch-Gordan coefficients (CGCs) for unitary irreducible representations (UIRs) of the extended quantum mechanical Poincar\'e group \pt. `Extended' refers to the extension of the 10 parameter Lie group that is the Poincar\'e group by the discrete symmetries $C$, $P$, and $T$; `quantum mechanical' refers to the fact that we consider projective representations of the group. The particular set of CGCs presented here are applicable to the problem of the reduction of the direct product of two massive, unitary irreducible representations (UIRs) of \pt with positive energy to irreducible components. Of the sixteen inequivalent representations of the discrete symmetries, the two standard representations with $U_C U_P = \pm 1$ are considered. Also included in the analysis are additive internal quantum numbers specifying the superselection sector. As an example, these CGCs are applied to the decay process of the $\Upsilon(4S)$ meson.Comment: 26 pages, double spaced. Version 2: typos corrected, introduction change

Poincare Semigroup Symmetry as an Emergent Property of Unstable Systems

The notion that elementary systems correspond to irreducible representations of the Poincare group is the starting point for this paper, which then goes on to discuss how a semigroup for the time evolution of unstable states and resonances could emerge from the underlying Poincare symmetry. Important tools in this analysis are the Clebsch-Gordan coefficients for the Poincare group.Comment: 17 pages, 1 figur

Możliwości wykorzystania bezzałogowych statków powietrznych do celów terrorystów

This paper deals with description of current technological developments in the field of UAVs and analyzes the possibilities of abuse them with unlawful acts, in particular with regard to the potential application of CBRNE agents. Then describes the incidence of similar events in recent times and predicts its development trend of the future. It is also given the example of theoretical calculation of the effects of selected CBRNE agents in selected area.W publikacji przedstawiono nowoczesne technologie w zakresie bezzałogowych statków powietrznych oraz dokonano analizy możliwości ich wykorzystania w działaniach nielegalnych, ze szczególnym uwzględnieniem zagrożeń CBRNE. Ponadto przedstawiono rzeczywiste przypadki takich działań oraz oszacowano możliwość ich wystąpienia w przyszłości. Zaprezentowano również teoretyczną analizę efektów wystąpienia zagrożeń CBRNE na wybranym obszarze

Zastosowanie magnetometrii do identyfikacji obiektów

The paper concerns the possibility of application of magnetometry for object identification. One of the basic conditions for successful use of magnetometric methods is the magnetic contrast t of solids towards surroundings. Another possible use e of magnetometry is for local identification of solids in selected areas, which are situated in the local magnetic field. The magnetometer, which enables to measure up to three vector components of magnetic induction and specialized software were used in order to perform the research. Two experiments were carried out within the research.W pracy zaprezentowano analizy dotyczące możliwości zastosowania magnetometrii do identyfikacji obiektów. Jednym z podstawowych warunków efektywnego wykorzystania metod magnetometrycznych jest pomiar tła magnetycznego obiektów w odniesieniu do otoczenia. Kolejnym możliwym zastosowaniem magnetometrii jest identyfikacja obiektów w lokalnym polu magnetycznym w wybranym obszarze. W przeprowadzonych badaniach wykorzystano magnetometr umożliwiający pomiar trzech składowych wektora indukcji magnetycznej oraz wyspecjalizowane o oprogramowanie. W ramach pracy zrealizowano dwa eksperymenty naukowe

The projective representations of the extended Poincaré group and applications

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