Journal:Informatica
Volume 26, Issue 2 (2015), pp. 221–240
Abstract
Abstract
Nowadays the web can serve as a perfect technological environment for personalized learning which is suggested by educators and based on interactive learning objects. While a range of technological solutions for the development of integrated e-learning environments already exists, the most appropriate solutions require further improvement of the implementation of novel learning objects, unification of standardization and integration of learning environments, based on semantic web services that are still in the early stages of development. The aim of the research is to create a model for the development of semantic learning objects, connect it with the architecture of the educational system for semantic learning object design and to present the experimental part of the model’s impact on the course design process. The paper presents the research with the main question on how to improve the e-learning course with semantic learning objects by exploring the application of learning object design approaches, usability, performing modern training facilities and the learning object design model based on semantic web technologies.
Journal:Informatica
Volume 8, Issue 4 (1997), pp. 583–598
Abstract
In the present paper, a method of global optimisation (structure adapted search) is proposed. It uses the grid of trial points which are more uniformly distributed for the projections on variables or their groups that make more influence.
The paper uses a set of test models to demonstrate the merit of the approaches. The efficiency of structure adapted search as compared to the random search is investigated. The results of using the new approach may be treated as a success.
Journal:Informatica
Volume 8, Issue 2 (1997), pp. 215–236
Abstract
For pipelining and block processing in linear time-varying (LTV), linear periodically time-varying (LPTV), and linear time-invariant (LTI) discrete-time systems, we suggest to use the general solution of state space equations. First, we develop three pipelined-block models for LTV, LPTV, and LTI discrete-time systems, and two pipelined-block structures. Afterwards, we analyse complete state controllability, complete output controllability, and complete observability of LTV and LTI pipelined-block discrete-time systems.
Journal:Informatica
Volume 7, Issue 4 (1996), pp. 525–541
Abstract
In the present paper, the method of structure analysis for multivariate functions was applied to rational approximation in classification problems. Then the pattern recognition and generalisation ability was investigated experimentally in numerical recognition. A comparison with Hopfield Net was carried out. The overall results of using of new approach may be treated as a success.
Journal:Informatica
Volume 3, Issue 2 (1992), pp. 256–274
Abstract
The results of investigation of the resource management in radar search are presented in the paper. The time for search of manoeuvring targets is minimized by optimal distribution of radar power among the space directions and by optimization of search parameters.
The problem of the optimal control of radar search is extremely complicated in the general case and in real situations, therefore we have compared only some strategies (e.g., one stage cyclic strategy, various multistage strategies).
In some simple cases (e.g., motionless targets) optimal parameters of multistage strategies maybe found but in the general case the efficiency of strategies may be evaluated with the help of statistical simulation. The simulation time was essentially reduced by some simplifications of models, by the forecast of discrete coordinates of the targets and by the use of averaged values.
The usage of the proposed strategies enables us to reduce the time of search by 2–3 times. Those strategies may be executed in real time.