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Straipsnyje pateiktas nagrinėjamos dalykinės srities, vadinamos „veiklos domenu“, žinių turinio atnaujinimo metodas, grindžiamas veiklos valdymo informacinių sąveikų aspektu, kai yra identifikuojamos valdymo informacinės sąveikos tarp veiklos domeno komponentų. Sukurtas dalykinės srities valdymo žinių modeliavimo metodas, leidžiantis sudaryti analizuojamo domeno valdymo informacinių sąveikų dviejų lygmenų (granuliuoto) žinių aprašymo modelį: aukščiausiojo lygmens modifikuotas vertės grandinės modelis toliau detalizuojamas į elementaraus valdymo ciklo modelių rinkinį; pasirinkta hierarchinė struktūra leidžia sudaryti naujus struktūrinius žinių modelius bei juos atnaujinti. Sukurtas žinių turinio atnaujinimo modelis aprašytas formaliai, pasiūlytos kompiuterizuoto proceso įgyvendinimo priemonės. Pasiūlytas dalykinės srities valdymo žinių modeliavimo metodas, kurio formalūs detalizuoto vertės grandinės modelio (DVGM) ir elementaraus valdymo ciklo (EVC) aprašai pateikti BPMN notacija, pasiūlytos kompiuterizuoto IS inžinerijos proceso priemonės metodui realizuoti., The hierarchical Detailed Value Chain Model and the Elementary Management Cycle model of educational domain knowledge content updating are formally described in this paper, wherein computerized process measures are also proposed. The paper provides a method for updating the knowledge of the analyzed domain, referred to as the “enterprise domain,” based on enterprise modelling in terms of management information interactions. A method was designed, the formal DVCM and EMC descriptions of which are provided in the BPMN notation, allowing to develop a two-level (granular) model for describing the knowledge of educational domain management information interactions. In implementing this model and its algorithms in technological terms, a subsystem of enterprise knowledge has been created in a knowledge-based CASE system (computerized knowledge-based IS engineering), which performs the function of a domain knowledge database.

OpenCL, a modern parallel heterogeneous system programming language, enables problems to be partitioned and executed on modern CPU and GPU hardware, this increases performance of such applications considerably. Since GPU's are optimized for floating point and vector operations and specialize in them, they outperform general purpose CPU's in this field greatly. This language greatly simplifies the creation of applications for such heterogeneous system since it's cross-platform, vendor independent and is embeddable , hence letting it be used in any other general purpose programming language via libraries. There is more and more tools being developed that are aimed at low level programmers and scientists or engineers alike, that are developing applications or libraries for CPU’s and GPU’s of today as well as other heterogeneous platforms. The tendency today is to increase the number of cores or CPU‘s in hopes of increasing performance, however the increasing difficulty of parallelizing applications for such systems and the even increasing overhead of communication and synchronization are limiting the potential performance. This means that there is a point at which increasing cores or CPU‘s will no longer increase applications performance, and even can diminish performance. Even though parallel programming and GPU‘s with stream computing capabilities have decreased the need for communication and synchronization (since only the final result needs to be committed to memory), however this still is a weak link in developing such applications.

When analyzing stock market data, it is common to encounter observations that differ from the overall pattern. It is known as the problem of robustness. Presence of outlying observations in different data sets may strongly influence the result of classical (mean and standard deviation based) analysis methods or models based on this data. The problem of outliers can be handled by using robust estimators, therefore making aberrations less influential or ignoring them completely. An example of applying such procedures for outlier elimination in stock trading system optimization process is presented.

An approach of creating of intelligent e-health care environment by describing project of development of VIHforSIAP is proposed. The main project oriented for assessment of selected elements some of those should be the most appropriate to create a Virtual Intelligent House (VIH) for Socially Isolated and Aging People (SIAP). Project contributes towards impacts listed in the work of Seventh Framework Programme of European Union in relation to the topics of ICT for independent living and inclusion and Accessible and Inclusive ICT (Challenge 3.7, ICT-2007.7.2). This paper describes the strategy of ICT addressed for independent living and inclusion for the aged population and people with high rate of incapacity. Thus, proposed here ICTs application of the aged population probably increases her quality of life and significant prolongs intense independent life with participation in the economics and society.

The aim of the work is to create a hydrological model of SWAT and to carry out assessment of parameters in a small Akmena-Dane river basin. Tasks of the work: to perform spatial digitization of the Akmena-Danė river basin and to form hydrological response units (HRU) of the model being developed; evaluate the results of the AD SWAT model using SWAT Error Checker visualization program; to formulate climate change scenarios and assess their impact on the different hydrological components of the river basin; to formulate AD river basin‘s prognostic scenarios. AD SWAT model has been developed using ArcSWAT extension in ArcGIS application. 7 input data sets were used: layers of mask, DEM, soil, land use, Lithuania river network, reservoirs and meteorological data set. An intermediate layer of the HRU data set was created, in which over 200 HRU combinations were generated. By using SWAT error checker program disclosed that it is worth paying attention in the model to possible inadequate amounts of sediment in HRU units of 28 and 26, 99.4% of NO3 is removed from the soil profile, unusually low phosphorus stress days, low solubility ratio for N in runoff, the maximum final/initial volume coefficient of 5.46 was generated in reservoir 3. It has been determined that from the adapted 8 climate change scenarios, the largest changes of over 30% were identified in 11 components using the CO2RCP6.0 - 8.5 climate scenario, the smallest changes in the rainfall increasing scenario and very small changes in the application of the most likely scenarios for climate change in the area under study.

Emocijų atpažinimas, tiriant žmogaus fiziologinius parametrus, yra labai aktualus šiuolaikinės informatikos mokslo uždavinys. Šio darbo siekis yra suprojektuoti emocijų atpažinimo sistemos prototipą, kurį su minimaliais kaštais galima būtų pritaikyti įvairiose emocijomis grindžiamose sistemose. Pateikiamas tokios sistemos koncepcinis modelis, susidedantis iš aparatūrinės įrangos ir programinio modelių. Fiziologinių signalų stiprinimui naudojami AD620 ir OP97 operaciniai stiprintuvai. Analoginio signalo keitimas ir perdavimas į kompiuterį atliekamas naudojant Atmega16 mikrovaldiklį. Schemų testavimui naudojamas kompiuterinis oscilografas (PCS500). Atliekamas skaitmeninio signalo filtravimo metodų tyrimas. Pristatomi fiziologinių parametrų fiksavimo metodų (EKG, SC) atpažinimo algoritmai, pagrįsti SVW algoritmu. Atliekama HRV spektrinė analizė į dažninę sritį, naudojant Furjė transformacijas. Pateikiama praplėsta neraiškioji valdymo sistema, kuri iš fiziologinių parametrų (HR, HRVL, HRVH, SCR, STpirštas, STgalva) išveda susijaudinimo–valentingumo laipsnius. Pagal šiuos laipsnius išvedamos emocijos. Aptariami sukurtų algoritmų, realizuojant juos realioje aplinkoje, nauji elgsenos charakteristikų ypatumai. Very important task of modern computer science is emotion recognition by human physiological parameters. The purpose of this work is to design a prototype of emotion recognition system, which could be possible customize in various emotions systems with minimal costs. There is representing such system conceptual model, which consists from them realization hardware and programme models. For amplifying the physiological signals is using instrumental AD620 and high precision OP97 operations amplifiers. Analogical signal converting to digital and transmitting to the computer redundant by Atmega16 microcontroller. For electrical schemas testing is using oscillograph (PCS500) connected on the computer. It is redundant analysis for digital signal filtering methods. There is presenting the recognition algorithms, based on SVW algorithm, for physiological parameters fixing methods (ECG, SC). For HRV spectral analyze in frequency domain it is using Furies transformations. There is extended fuzzy control system, which deduces arousal–valence levels from physiological parameters (HR, HRVL, HRVH, SCR, STfinger, SThead). By theses levels is deduces emotions. The new characteristical singularities of designed algorithms in real environment are also discussed.

For effective remote learning realization we need the complex intelligent remote system, which would keep special and structured material for learning and tests of knowledge. Feedback is the most important thing for learning. In the usual way feedback takes a lot of teacher time, therefore it is very useful to practice electronic system functions for control of feedback and reduction of teachers work time. Creation of complex intelligent eLearning system needs profound knowledge of programming, pedagogical and strategic knowledge, therefore this work would be impossible for one person. The knowledge of study is very important too. Therefore we could use made-up open source remote learning system and readjust for our interests. We use remote learning open source system Moodle and use this system in practice. From practice in lessons of informatics and ECDL learning planning we could propose that this system is really very flexible and useful in learning processes. The suggestion of new well-tried remote learning method – learning with tests show that it is very effective method in learning processes.

In this master graduation work there are analyzed and described the principles of creation an intelligent component of adaptive e-learning system, by using Kohonen self organized map neural networks. There created intelligent component, which was realized by using agent technologies, distinguishes by abilities to make a decision in respect of concrete user needs. In this work there are also described common structure of adaptive e-learning system, by pointing the place, which takes intelligent component, and its relationships with other parts of such adaptive system.

In this paper we analyze development problems and tendencies of virtual education. Separately it’s emphasized the situation with distance education (DE) in Lithuania. The structure, principles and facilities of LieDM network are briefly described. In the first part of the paper main attention is paid to the technological aspect. Examples of different methodologies are overviewed as well as existing norms and standards. In detail we overview the requirements of recorded video presentations and solutions using different media formats and software products. In the second part the specific situation of DE application in Klaipeda University is analyzed. We make the requirement specification and the description of application area. Finally we make a design of the virtual learning management system using procedures of system engineering.

Modern computers are capable of completing most of the tasks in fairly short time, however there are areas in what calculations can last for months and even years. Parallel algorithms are one of the ways to accelerate long-lasting calculations. In the thesis we analyze parallel computing technologies OpenMP (shared memory) and MPI (distributed memory), cons and pros of their architecture. We identify potential parts of program code of Curonian lagoon model for parallelizing, in which chosen parallel computing technologies OpenMP and MPI is applied. Also we make the runtime speedup analysis.