Roman Dębski

Multi-Domain Data Integration for Criminal Intelligence

The aim of the paper is to discuss the problem of heterogeneous data integration in LINK – a decision-support system for criminal analysis. In order to integrate and analyze various data sources, an object-based data model is proposed for each analyzed domain. From the technological side, this concept is supported by the component-oriented approach and tools (such as Eclipse RCP), which allow for flexible adding new domain objects. To verify the realized concept, a simple case study is given as an example of the integration results.

ComcuteJS: A Web Browser Based Platform for Large-scale Computations

The paper presents a new, cost effective, volunteer computing based platform.It utilizes volunteers’ web browsers as computational nodes. The computationaltasks are delegated to the browsers and executed in the background (indepen-dently of any user interface scripts) making use of the HTML5 web workerstechnology. The capabilities of the platform have been proved by experimentsperformed in a wide range of numbers of computational nodes (1–400).

Maintaining Population Diversity in Evolution Strategy for Engineering Problems

In the paper three new mechanisms for maintaining population diversity in (μ,i¾?)-evolution strategies are introduced: deterministic modification of standard deviations, crowding, and elitism. The proposed mechanisms are experimentally verified with the use of optimal shape designing of rotating variable-thickness annular elastic discs problem.

Integrating Applications Developed for Heterogeneous Platforms: Building an Environment for Criminal Analysts

In this paper we present original approach for integrating systems on an example of LINK and Mammoth – criminal analysis applications. Firstly, a problem of integration is described with short description of integrated applications. Secondly, some theoretical information about integration is depicted. Paper continues with explanation of approach chosen for LINK and Mammoth integration and presents evaluation of achieved result. Eventually some final thoughts are stated.

Distributed Agent-Based Platform for Large Scale Evolutionary Computations

In the paper a new volunteer computing environment dedicated for large-scale evolutionary computations is presented. It forms a distributed evolutionary multi-agent platform which utilizes Java applets as computational workers. After describing the general concept of the platform, the different possibilities of its deployment are discussed.

Simulation-Based Sailboat Trajectory Optimization using On-Board Heterogeneous Computers

A dynamic programming-based algorithm adapted to on-board heterogeneous computers for simulation-based trajectory optimization was studied in the context of high-performance sailing. The algorithm can efficiently utilize all OpenCL-capable devices, starting the computation (if necessary, in singleprecision) on a GPU and finalizing it (if necessary, in double-precision) with the use of a CPU. The serial and parallel versions of the algorithm are presented in detail. Possible extensions of the basic algorithm are also described. The experimental results show that contemporary heterogeneous on-board/mobile computers can be treated as micro HPC platforms. They offer high performance (the OpenCL-capable GPU was found to accelerate the optimization routine 41 fold) while remaining energy and cost efficient. The simulation-based approach has the potential to give very accurate results, as the mathematical model upon which the simulator is based may be as complex as required. The black-box represented performance measure and the use of OpenCL make the presented approach applicable to many trajectory optimization problems.