Application of largest Lyapunov exponent analysis on the studies of dynamics under external forces

Dynamics of driven dissipative Frenkel-Kontorova model is examined by using largest Lyapunov exponent computational technique. Obtained results show that besides the usual way where behavior of the system in the presence of external forces is studied by analyzing its dynamical response function, the largest Lyapunov exponent analysis can represent a very convenient tool to examine system dynamics. In the dc driven systems, the critical depinning force for particular structure could be estimated by computing the largest Lyapunov exponent. In the dc+ac driven systems, if the substrate potential is the standard sinusoidal one, calculation of the largest Lyapunov exponent offers a more sensitive way to detect the presence of Shapiro steps. When the amplitude of the ac force is varied the behavior of the largest Lyapunov exponent in the pinned regime completely reflects the behavior of Shapiro steps and the critical depinning force, in particular, it represents the mirror image of the amplitude dependence of critical depinning force. This points out an advantage of this technique since by calculating the largest Lyapunov exponent in the pinned regime we can get an insight into the dynamics of the system when driving forces are applied.Comment: 10 pages, 8 figure

THE AGRICULTURAL RISK MANAGEMENT SIMULATOR MICROCOMPUTER PROGRAM

The Agricultural Risk Management Simulator (ARMS) is a microcomputer program designed to help users evaluate strategies for managing yield and price risk in crop farming operations. Risk management strategies are defined by choices regarding crop mix, the purchase of multiple peril crop insurance, and the use of forward contracting. Probabilistic budgeting is used to determine the net cash flow probability distribution for each strategy considered. Flexibility with regard to both sources of probabilistic information and the form of yield and price probability distributions is a noteworthy feature of the program.Risk and Uncertainty,

SUSTAVI POSLOVNE INTELIGENCIJE JUČER, DANAS I SUTRA - PREGLED

Business intelligence (BI) represents the ability to understand and adapt to new business conditions, and to solve business problems. The BI system, based on the data collected from various business and public sources, aims to detect and determine the legalities that would simplify the decision-making process. BI combines operational data with analytical tools in order to present complex and important information to decision makers, business managers and planners. The main goal of BI is to improve the timeliness and quality of inputs in the decision process. BI is used to understand the possibilities available in business firms like market trends, future decisions and directions in the markets worldwide, different technologies, the regulatory environment in which the business firm competes and the activities taken by many competitors. BI pervades the entire business organization, improves operations and raises the level of business intelligence in all of its aspects. The paper presents an overview of BI, an analysis of its early development as well as its state today, and some predictions for the future. These are also the main contributions of the paper.Poslovna inteligencija (BI) predstavlja sposobnost shvaćanja i vještog snalaženja u novim uvjetima poslovanja, te sposobnost rješavanja poslovnih problema. Sustav BI-a, na temelju prikupljenih podataka iz različitih poslovnih i javnih izvora, ima za cilj otkriti i utvrditi zakonitosti kojima će se olakšati donošenje poslovnih odluka. Poslovna inteligencija kombinira poslovne podatke s analitičkim alatima kako bi predstavila složene i važne informacije donositeljima odluka, poslovnim menadžerima i planerima. Glavni cilj BI-a je poboljšati pravovremenost i kvalitetu inputa u procesu odlučivanja. Poslovna inteligencija se koristi za razumijevanje mogućnosti koje su dostupne u poslovnim tvrtkama poput tržišnih trendova, budućih odluka i uputa za tržišta širom svijeta, različitih tehnologija, regulatornog okruženja u kojem se poslovna poduzeća natječu te djelovanja mnogih konkurenata. BI prožima cijelu poslovnu organizaciju, poboljšava poslovanje i podiže razinu poslovne inteligencije u svim njenim aspektima. U članku je prikazan pregled BI-a, analiza njegovog ranog razvoja kao i njegovog stanja danas te neka predviđanja za budućnost. To su ujedno i glavni doprinosi rada

The Quality Indicators of Osmotic Dried Apricot (Prunus armeniaca)

Apricot (Prunus armeniaca) osmotic drying set of tests was conducted under controlled condition in laboratory. Current mean values of samples moisture content were obtained by measurement equipment and were used as data base for further statistical analysis. ANOVA statistical analysis proved that solution temperature and concentration are influential factors of osmotic drying. Empirical equation which predicts the changes of apricot halves moisture content in the time as a function of solution temperature and concentration was derived by the means of regression analysis. This equation was evaluated for solution temperatures of 45oC and 55oC, as well as for solution concentrations of 70% and 85% of saturated solution for chosen solution temperature. Results of chemical analyses results for “Keckemetska ruza”, “Novosadska rodna” and “Ambrosia” apricot varieties are also presented in this paper. The significant changes in phosphorous and calcium were not observed, but the contents of total sugar in samples changed during soaking in sugar solution, as a result of solids gain in apricot halves