Meteorological reports in the Perspective Automated Artillery Fire Support Control System

The Czech Republic, as a member of international organizations (NATO, EU, UNO), with respect to current global security environment, employs the units of the army both at its own state territory and outside the Czech Republic in multinational forces operations. The article focuses on preparation of meteorological reports of future Automated Command, Control, and Information system (C2I) in conditions of the Army of the Czech Republic. The issue of automated command, control, and information systems is of high importance in the solving of asymmetrical operations tasks today and in the upcoming future. Define the basic resources for creation of meteorological reports of NATO standards in Network Enabled Capabilities (NEC) conditions. The authors define group of meteorological report for designing a new and by the Army of the Czech Republic required sophisticated Automated Fire Support Control System of Artillery meeting NATO standards in Network Enabled Capabilities (NEC) conditions. The article represents section of a huge defensive research project of Ministry of Defence of the Czech Republic and the Army of the Czech Republic solved by leading scientists of the University of Defence in Brno.

Synchronization and Power Unit Controller for CO2 Laser Cable Marking System

In this paper, we describe the design of the synchronization and power unit controller (SPUC) for CO2 laser cable marking system inline-processing. It is mainly composed of a synchronization and modulation control circuits. Power control of output laser beam is achieved by pulse width modulation (PWM). The synchronization between the CO2 laser, the rotating mask disk and the pivoting mirror is performed by a Lab VIEW based program and National Instruments (NI).

Pi Power System Controller: Eigenstructure – Based Design and Sensitivities

Significant advances in power system control design techniques that can take into consideration plants linearized around a number of operating conditions. Most of these techniques are based on eigenspectrum analysis which has numerous advantages. A wealth of applications of eigenstructure assignment are available in the literature and showed that new applications have been found and parametric solution of eigenspectrum assignment can be used successfully to design feedback controllers. The use of supplementary controller added to the automatic voltage regulator (AVR) is a practical effective way to supply additional positive damping to system oscillations via power system stabilizers. The present paper utilizes eigenspectrum analysis in the practical design of proportional integral (PI) type power system stabilizers, in order to achieve good steady state as well as transient response characteristics. Eigenspectrum analysis is attractive since it takes into account freedom in determining feedback gains and provides the frequencies and the damping at each frequency for the entire system in a single calculation. Moreover sensitivity of eigenvalues and eigenvectors with respect to parameter variations are assessed so as to provide information to improve setting parameters for power system damping and stability, without ignoring the operating conditions. The results of eigenvalue/eigenvector sensitivity are tangible for analysis with a wide range of parameter variations and is presented through the right and left eigenvectors of the system matrix and also through Taylor series analysis.

Enterprise Development with P Systems

Enterprises are both an emerging force in national reform and a major force in its future economic development. The professors in China and on abroad have do much research on enterprise development and put forward lots of valuable theories. P systems have been proposed for about 14 years, and its applications refer to numbers of areas. However, to investigate the survival and development of firms in the aspect of P systems is rarely. In this study, it makes analysis on the survival and development of small and medium-sized enterprises in an aspect of bionics, trying to find out the origin which makes the enterprise exuberant and everlasting. Have the enterprises compare to biological cells and construct a membrane framework in order to interpret an enterprise’s survival. At the same time it also highlights the irreplaceable role of enterprise DNA in the inheritance of the enterprise entity.

Enhancing the Security of Cloud Computing via Unscented Kalman Filter; with Statistical Analysis About Power Consumption

To migrate to cloud computing or other new generation of computational and communicational network we should making some laws about limitations on such networks. We should clarify clearly the level of accessions to resources and/or the ability to sending or receiving files through such network. We can avoid unpredicted and undesired works by using of law makings. Furthermore, besides of law making we can use evolutionary and/or intelligence techniques for estimation and prediction about parameters that deal with controlling of our network – for example in this paper we introduce one type of such intelligence algorithms which named as unscented Kalman filter. By giving some raw inputs about treatments and resources of such networks we’re able to estimate and predict about lots of different conditions of these networks. For example, we should have an estimation and prediction algorithm to be able to track and trace the hackers or crackers, if they’re permeating to our network. Or we should estimate the amount of users that will use particular software or application on a specific hour through such network. Also, if we study users treatment on a specific network, like cloud computing, we’re able to estimate and predict their keen and eagerness about new released software or application; because if we know how people treat and face and react with new emerging software we’re able to construct and program our applications more precisely. In this paper, at first we tell about cloud computing – we define it completely and discuss about all aspects of this new generation of internet – also in the first section we discuss about efficiency of cloud computing in saving of energy and tell differences between the amount of energy that cloud resources use and the amount of energy that other computerized frames were use. We proof our suggestions and ideas by the means of analytical and mathematical analysis; after that when we understand about all of its concepts, a brief review about Microsoft decisions on cloud computing were present, we review new systems and software’s of Microsoft that equipped with cloud computing and study the advantages and disadvantages of these new services which are equipped with cloud computing. In the next section by the knowing of whole concepts and key features of this network and also by knowing the critical uses of this network on different industries we introduce fixedinterval smoothers; which can be used for estimation and prediction of different parameters in such network. For example, we can use this for estimation and prediction about permeating of hackers or for predicting the amount of users that will use special part of our network in a particular period of time or by tracking and tracing the packets or even users. By performing such activities we’re able to eliminate malicious and spyware treatments from the beginning points of our network. Also by the means of mathematical analysis in this paper, we demonstrate all of our suggestions and according to these proofs we conclude about workability and liability of such network.

Practical Implementation of New Algorithm for Restricting Data Fusion in Cloud Computing with Use of Information Kalman Filtering

These days’ lots of technologies migrate from traditional systems into cloud and similar technologies; also we should note that cloud can be used for military and civilian purposes [3]. On the other hand, in such a large scale networks we should consider the reliability and powerfulness of such networks in facing with events such as high amount of users that may login to their profiles simultaneously, or for example if we have the ability to predict about what times that we would have the most crowd in network, or even users prefer to use which part of the Cloud Computing more than other parts – which software or hardware configuration. With knowing such information, we can avoid accidental crashing or hanging of the network that may be cause by logging of too much users. In this paper we propose Kalman Filter that can be used for estimating the amounts of users and software’s that run on cloud computing or other similar platforms at a certain time. After introducing this filter, at the end of paper, we talk about some potentials of this filter in cloud computing platform. In this paper we demonstrate about how we can use Kalman filter in estimating and predicting of our target, by the means of several examples on Kalman filter. Also at the end of paper we propose information filter for estimation and prediction about cloud computing resources.

Road-rail intermodality and the Clean Development Mechanism

The approval of methodologies involving the transportation sector confronts methodological concepts that hinder the eligibility of such projects as Clean Development Mechanism, mainly because it is a segment whose emissions come from mobile sources. The verification of additionality and monitoring of emissions, in principle, can be regarded as some of the key barriers to fit transportation sector projects into the CDM framework. This paper discusses these issues and examines, in particular, the road-rail intermodality. Since the partial replacement of cargo transport via trucks by wagon trains presents a great potential for mitigating emissions of greenhouse gases, this paper also analyzes the characteristics that a project involving road-rail intermodality must possess in order to be approved by the Executive Board of the United Nations Framework Convention on Climate Change. It also analyzes the main difficulties that such a project might face.

The Case Study of the Big Latvian Energy Companies’ Compliance with the Principles of Sustainable Development

The rationale of the study is connected with the fact that society has increasingly begun to discuss its responsibility to the generation to come. Without economic aspects, social and environmental issues have become increasingly apparent because there is more and more relevant question whether the natural system will be able to withstand the increasing loading associated with human activities. In Latvia there have been made attempts to promote the principle of sustainable development, its adoption and implementation. On the basis of the above stated rationale of the subject, the objective of the study is to estimate the big Latvian energy companies’ compliance with the principles of sustainable development. The reduction of energy sources and their capacity, greenhouse gas emission caused by energy production, and features of the energy market put forward branch enterprises in front of the principle of sustainable development and the idea of its implementation. To determine the big Latvian energy companies’ contribution to sustainable development, in the survey of representatives of the business environment there have been included questions about the big Latvian energy companies’ compliance with the principles of sustainable development. In the research paper there have been used the statistical analysis of data and the processing method.

Recent Case Law of The Romanian Courts of Law And The European Court of Justice Related To The Objective Environmental Liability

Although the economic interests have played a major political role in the recent period, in a number of litigations the courts applied the “polluter pays” principle and rendered favorably judgments to the claimants which suffered a damage caused by pollution. In this respect, it is worth analyzing the case law of the European Court of Justice which has recently provided the presumption of liability for pollution of the operators which operates installations on land adjacent to a polluted area. As the Romanian case law is concerned, given the novelty of the framework of an objective environmental liability and the low number of cases related to this issue, it is to be developed a constant jurisprudence as the decision rendered by the Romanian Court of Appeal as of March 9, 2009, which forced a polluter to remedy totally and in kind the damage caused to an individual’s house.

Evaluation of Multi-Model Hindcasts of Overland Precipitation for Georgia

This study evaluates the ability of several Regional Climate Models (RCMs) to simulate rainfall patterns in the South Caucasus region. In total, 8 RCM simulations were assessed against the CRU observational database over different domains, among them two from the Coordinated Regional Climate Downscaling Experiment (CORDEX). Seasonal climatology, annual rainfall cycles and interannual variability in RCM outputs were estimated for 8 homogeneous sub-regions against several observational datasets. Different metrics covering from monthly and seasonal to annual time scales are analyzed over the region of interest. The results confirm the distinct capabilities of climate models in capturing the local features of the climatic conditions of the South Caucasus region. At the same time, the analysis shows significant deviations in individual models depending on the sub-region and season; however, the ensemble mean is in better agreement with observations than individual models. Overall, the analysis presented here demonstrates that, the multi-model ensemble mean adequately simulates rainfall in the South Caucasus and, therefore, it can be used to assess future climate predictions for the region. This work promotes the selection of RCM runs with reasonable performance in the South Caucasus region, from which, for the first time, a high-resolution bias-adjusted climate database can be generated for future risk assessment and impact studies.