Modeling the acquisition decision and, consequently, managing the capabilities of technical systems involves multiple options that need to be optimized first, based on universal constraints such as time, quality, cost, etc. The criterion of use (private or institutional), according to which analyzes can evolve differently, is also important. Regardless of the way in which these considerations are taken, there is always a difference of approach given by the quantitative and / or qualitative tools used but also by biases, heuristics and mindsets. The article analyzes succinctly, on an example of calculation (based on a matrix used in the theory of decision to evaluate the different alternatives made available, when we have a basic model to be referred to), the universe of these analytical modalities, underlining the idea of making analyzes using a maximum level of objectivity and minimizing as much as possible subjectivism. It has been chosen as a way of applying the field of procurement of technical systems with the possibility of highlighting as many aspects as possible on the decisional criteria. Critical analysis of the robustness of the choices made by the human factor as a rational decision-maker is presented, as it is seen in the classical economic theory, but taking into account the limitations highlighted by modern theories in the fields of psychology and information theory
The paper focuses on the analysis of holistic facial recognition rates obtained by changing the parameters related to the number of components and the number of images for the same subject in the training set. It has been observed that, regardless of the method used, choosing a small number of samples for the training set does not lead to acceptable results. The recognition rate for using the PCA algorithm is directly influenced by the number of samples and by the size of the feature vector. Thus, if all the features were retained and the number of images in the training set was high, 95% rates were obtained. Similarly, in the case of the extraction of vectors of variable dimensions with DCT and the use of a neural network for classification, the obtained rates were not satisfactory for a small number of samples in the training set.
Complex phenomenon and particularly challenging, the decision-making process in the military field is, perhaps, the place where the risk is defined and is found in “pure form”. The dynamics of actions, environmental factors, technical and tactical characteristics of military structures are just a few items that generate a range of risks which must be managed by each commander, both at the time of the decision, and during its implementation. For these reasons, and not only, we support the idea that risk management in the military field may be the key to success in any mission
Motivational component of learning is particularly important in the military because of the accruals during undergraduate studies, will depend both on their professional future career military and results in activities to individual objectives and structure that will lead. The complexity of the current context, the military domain and society requires a detailed approach to building motives underlying motivation for military students, and using Porter-Lawler model to maximize their motivation can be very effective.
The urban transportation system is characterized by the urban roads development and growth of road traffic, which leads, most of the time, to a series of congestions in the vehicles traffic. Consequently, due to a high time duration spent on the road traffic, the travel time from a location to another one could be very upsetting for any car drivers, or embarrassing for emergency services and vehicle convoys that carry goods or sensitive items. Those are mainly reasons for using simulation modeling to analyze and optimize the travel time of the road traffic actors in the an urban transportation system. This paper focuses on optimization vehicles flow in a crowded area of Sibiu city, by using agent-based modeling concept and AnyLogic simulation modeling software.
Due to the advanced equipment for diagnosing the components and technical systems of which they are part, the advanced software techniques and applications for the execution, monitoring and maintenance of management, methods, the tendency to develop the type of predictive maintenance is now being generalized. The importance is given by the possibility of processing the determined results, by estimating the tendency of manifestation of the functional parameters and by establishing the moment of the technical interventions for maintaining the equipment/vehicle in the state of availability. The predictive or conditional maintenance, along with the systematic and predictive maintenance, as ways of planning and executing preventive maintenance, has the advantage that the costs of purchasing diagnostic equipment can be offset by the reduced repair costs, as theoretically the major equipment failure will be greatly reduced. The authors do a study on the possibilities of monitoring and driving automotive predictive maintenance using the Keep the Machine the software application Keep the Machine Running. The research method is to investigate the current level of maintenance and the facilities offered by the specific diagnosis and software application, and to integrate the results in order to achieve an efficient maintenance management.
Actual scientific approaches related to critical infrastructure reveal its importance within many of the society’s essential services that are necessary for day-to-day people’s life. Besides other critical infrastructure systems, the emerging development of the space system results in the embedment of it within the critical space infrastructure concept that is based on its description related to the importance of the services provided to population, public or governing institutions, and industry. This paper intends to present the manner in which the space system services influence population’s life and to emphasize the importance of the space infrastructure related to the process of planning and conducting military operations. The reliability and well functioning of the space system from the perspective as a critical infrastructure proves its paramount importance related to essential services provided to the population that results into social well-being. Nowadays, the majority of military operations depend on the development of space infrastructure and its reliability. Moreover, the military space operations are based on satellite control system architectures as well as the interconnected systems on surface and underground systems. From this side, the protection of critical space infrastructure and its resilience level should have a paramount value for all stakeholders that are using the space system services.
We communicate and decide every day, but the complexity of the context in which we do these things is increasing. Today, the cultural structure of the organization’s members, due to the need to have competent employees in correlation with the established objectives, is somewhat puzzled and dynamical. Thus, the decision-makers must take into account (mandatory) the cultural basis of the subordinates when choosing the best alternative for solving an organizational problem. From this perspective, Hofstede’s model can be one of the explanatory modalities of the organization’s cultural characteristics as a basis to identify the action’s solutions in that organization for the future.
This article presents some lines of effort to reach the specific objectives, for a topical area of collective security, the management of consequences. Conceptual correlations in this spectrum are highlighted between emergencies, critical infrastructures, community resilience. Theoretical research is accompanied by examples taken from practice, the case study at national level being focused on the contribution made to the efficient management of the consequences of the processes specific to the preparation of the economy and the territory for defense. It is emphasized, based on the experience of the specific events of the Covid 19 dynamics, the role and importance of this sector of administrative activity in the critical infrastructure security plan.
This paper presents a methodology to validate a virtual test procedure for vehicle gradeability performance. It is a test dedicated to both the civilian and military off-road vehicles, an 8 x 8 Armoured Personnel Carrier being selected for the purpose of the paper. TruckSim is the software used to implement the vehicle math model and the test procedure. The simulation results are compared with the experimental results for a 60 % gradient. The vehicle speed and the engine speed graphics, the statistical analyze, and the comparison between the simulation test animation and the experimental test movie are the methods applied to validate the virtual longitudinal slope test procedure.