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1
Content available Model for dynamic and hierarchical data repository in relational database
Piech M., Fracz W., Turek W., Kisiel-Dorohinicki M., Dajda J., Byrski A.
Computer Science
|
2018
|
Vol. 19 (4)
479--500
EN
The aim of this research is to build an open schema model for a digital sources repository in a relational database. This required us to develop a few advanced techniques. One of them was to keep and maintain a hierarchical data structure pushed into the repository. A second was to create constraints on any hierarchical level that allows for the enforcement of data integrity and consistency. The created solution is mainly based on a JSON file as a native column type, which was designed for holding open schema documents. In this paper, we present a model for any repository that uses hierarchical dynamic data. Additionally, we include a structure for normalizing the input and description for the data in order to keep all of the model assumptions. We compared our solution with a well-known open schema model – Entity-Attribute-Value – in the scope of saving data and querying about relationships and contents from the structure. The results show that we achieved improvements in both the performance and disk space usage, as we extended our model with a few new features that the previous model does not include. The techniques developed in this research can be applied in every domain where hierarchical dynamic data is required, as demonstrated by the digital book repository that we have presented.
2
Content available Emergence of population structure in socio-cognitively inspired ant colony optimization
Byrski A., Świderska E., Łasisz J., Kisiel-Dorohinicki M., Lenaerts T., Samson D., Indurkhya B.
Computer Science
|
2018
|
Vol. 19 (1)
81--98
EN
A metaheuristic proposed by us recently, Ant Colony Optimization (ACO) hybridized with socio-cognitive inspirations, turned out to generate interesting results compared to classic ACO. Even though it does not always find better solutions to the considered problems, it usually finds sub-optimal solutions usually. Moreover, instead of a trial-and-error approach to configure the parameters of the ant species in the population, in our approach, the actual structure of the population emerges from predefined species-to-species ant migration strategies. Experimental results of our approach are compared against classic ACO and selected socio-cognitive versions of this algorithm.
3
Content available Mobile Cloud for Parallel and Distributed Green Computing
Siwik L., Kala D., Godzik M., Turek W., Byrski A., Kisiel-Dorohinicki M.
Journal of Telecommunications and Information Technology
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2017
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nr 4
60--70
EN
Mobile Computing and Mobile Cloud Computing are the areas where intensive research is observed. The “mobility” landscape (devices, technologies, apps, etc.) evolves so fast that definitions and taxonomies do not catch up with so dynamic changes and there is still an ambiguity in definitions and common understanding of basic ideas and models. This research focuses on Mobile Cloud understood as parallel and distributed system consisting of a collection of interconnected (and virtualized) mobile devices dynamically provisioned and presented as one unified computing resource. This paper focuses on the mobile green computing cloud applied for parallel and distributed computations and consisting of outdated, abandoned or no longer needed smartphones being able to set up a powerful computing cluster. Besides showing the general idea and background, an actual computing cluster is constructed and its scalability and efficiency is checked versus the results obtained from the virtualized set of smartphones. All the experiments are performed using a dedicated software framework constructed in order to leverage the nolonger-needed smartphones, creating a computing cloud.
4
Content available Collectively intelligent prediction in evolutionary multi-agent system
Kijak J., Martyna P., Byrski A., Faber Ł., Piętak K., Kisiel-Dorohinicki M.
International Journal of Microelectronics and Computer Science
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2017
|
Vol. 8, nr 3
85--96
EN
In the paper a summary of our previously realized and published work connected with constructing collective intelligent evolutionary multi-agent systems for time series prediction, based on multi-layered perceptrons is shown. Besides recalling our past papers, we describe the whole concept, present an implementation in a contemporary, componentoriented software framework AgE 3.0 and we conduct a number of experiments, finding different optimal parametrization for the considered instances of the problems (popular Mackey-Glass chaotic time series). The paper may be useful for a practitioner willing to use our meatheuristic algorithm (EMAS) along with the idea of collective agent-based system in order to realize prediction tasks.
5
Content available remote Volunteer computing in a scalable lightweight web-based environment
Chorazyk P., Byrski A., Pietak K., Kisiel-Dorohinicki M., Turek W.
Computer Assisted Methods in Engineering and Science
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2017
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Vol. 24, no. 1
17--40
EN
Volunteer computing is a very appealing way of utilizing vast available resources in efficient way. However, the current platforms that support such computing style are either difficult to use or not available at all, as a results of finished scientific projects, for example. In this paper, a novel lightweight volunteer computing platform is presented and thoroughly tested in an artificial environment of a commercially available computing cloud using two computing-related tasks and one web-crawling-related task.
6
Content available Parallel patterns for agent-based evolutionary computing
Stypka J., Anielski P., Mentel S., Krzywicki D., Turek W., Byrski A., Kisiel-Dorohinicki M.
Computer Science
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2016
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Vol. 17 (1)
83--98
EN
Computing applications such as metaheuristics-based optimization can greatly benefit from multi-core architectures available on modern supercomputers. In this paper, we describe an easy and efficient way to implement certain population-based algorithms (in the discussed case, multi-agent computing system) on such runtime environments. Our solution is based on an Erlang software library which implements dedicated parallel patterns. We provide technological details on our approach and discuss experimental results.
7
Content available Adapting a constituency parser to user-generated content in polish opinion mining
Pluwak A., Korczynski W., Kisiel-Dorohinicki M.
Computer Science
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2016
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Vol. 17 (1)
23--44
EN
The paper focuses on the adjustment of NLP tools for Polish; e.g., morphological analyzers and parsers, to user-generated content (UGC). The authors discuss two rule-based techniques applied to improve their efficiency: pre-processing (text normalization) and parser adaptation (modified segmentation and parsing rules). A new solution to handle OOVs based on inflectional translation is also offered.
8
Content available Analiza kryminalna wspomagana narzędziami GIS w aplikacji LINK
Marcjan R., Łakomy M., Wysokiński M., Piętak K., Kisiel-Dorohinicki M.
Zeszyty Naukowe AON
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2013
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nr 4(93)
326-345
EN
The aim of the paper is to present the possibilities of utilizing spatial (geographical) information in the criminal analysis and to introduce the LINK software, which is able to perform such analyses. LINK is a decision-support system dedicated for operational and investigational activities of homeland security services. The paper briefly discusses issues of criminal analysis in the Polish reality and focuses on crime mapping and spatial analyses. It also lists available analysis methods and software tools together with their pros and con. The description of LINK system functionality constitutes the main part of the paper. It covers the tasks of data acquisition, processing, analysis and visualization. In addition to that the paper also includes a description of the integration possibilities of LINK and ESRI’s ArcGIS application stack and performing complex geospatial analyses.
9
Content available Evolutionary multi-agent systems in non-stationary environments
Kisiel-Dorohinicki M.
Computer Science
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2013
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Vol. 14 (4)
563--575
EN
In this article, the performance of an evolutionary multi-agent system in dynamic optimization is evaluated in comparison to classical evolutionary algorithms. The starting point is a general introduction describing the background, structure and behavior of EMAS against classical evolutionary techniques. Then, the properties of energy-based selection are investigated to show how they may influence the diversity of the population in EMAS. The considerations are illustrated by experimental results based on the dynamic version of the well-known, high-dimensional Rastrigin function benchmark.
10
Content available Towards an Agent-Based Augmented Cloud
Dębski R., Byrski A., Kisiel-Dorohinicki M.
Journal of Telecommunications and Information Technology
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2012
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nr 1
16-22
EN
In the paper an agent-based framework deployed in hybrid cluster and volunteer computing environment is presented. It utilizes two concepts proposed by the authors: Augmented Cloud and Agent Platform as a Service (AgPaaS). Both concepts are discussed in the context of Cloud Computing as defined by NIST. The key idea of the presented solution is to span the cloud (i.e., computing infrastructure) beyond the data center borders by utilizing web browsers as computational workers. The feasibility of the approach was demonstrated by two prototypes: the first one was based on Java Applets and Adobe Flash, whereas the second one on Microsoft Silverlight. The prototypes were next used to perform simple experiments, mainly related to scalability issues. Selected results from the experiments are discussed in the final part of the paper.
11
Content available Component-Based Architecture for Systems, Services and Data Integration in Support for Criminal Analysis
Dajda J., Dębski R., Byrski A., Kisiel-Dorohinicki M.
Journal of Telecommunications and Information Technology
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2012
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nr 1
67-73
EN
Criminal analysis processes is based on heterogeneous data processing. To support it, analysts utilize a large set of specialized tools, however they are usually designed to solve a particular problem are often incompatible with other existing tools and systems. Therefore, to fully leverage the existing supporting tools, their technological integration is required. In this paper we present original approach for integrating systems based on the component-driven paradigm. Firstly, a problem of supporting criminal analysis is described with a strong emphasis on the heterogeneity issues. Secondly, some theoretical information about integration is depicted followed by the details of the proposed architecture. Finally, the technological assumptions are discussed and prototype integration based on proposed concept is overviewed. om the experiments are discussed in the final part of the paper.
12
Content available A crisis management approach to mission survivability in computational multi-agent systems
Byrski A., Kisiel-Dorohinicki M., Carvalho M.
Computer Science
|
2010
|
Vol. 11
99-113
EN
In this paper we present a biologically-inspired approach for mission survivability (considered as the capability of fulfilling a task such as computation) that allows the system to be aware of the possible threats or crises that may arise. This approach uses the notion of resources used by living organisms to control their populations. We present the concept of energetic selection in agent-based evolutionary systems as well as the means to manipulate the configuration of the computation according to the crises or user's specific demands.
PL
W artykule prezentujemy biologicznie inspirowany mechanizm wspomagający utrzymanie krytycznych zadań (tzw. mission survivability) który umożliwia wykrywanie oraz przeciwdziałanie wybranym zagrożeniom. Przedstawione podejście wzorowane jest na wykorzystywaniu przez żywe organizmy zasobów do kontroli populacji. Prezentujemy koncepcje selekcji energetycznej mającej zastosowanie w ewolucyjnych systemach wieloagentowych (EMAS) oraz sposoby konfiguracji obliczenia w celu przeciwdziałania sytuacjom kryzysowym, według preferencji użytkownika.
13
Content available remote Architecture for Discovery of Crises in MAS
Nawarecki E., Kisiel-Dorohinicki M., Dobrowolski G.
Fundamenta Informaticae
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2006
|
Vol. 71, nr 1
37-47
EN
The contribution deals with a class of intelligent decentralized systems that meet the agent paradigm. Such systems are marked by the possibility of arising critical situations, interpreted here as the threat of loss (partial or complete) of the system functionality. The work is focused on designing an overall architecture of the (sub-)system dedicated to the discovery of crises and support of anti-crisis activities. The architecture is proposed as a reference one so as it is possible to adjust it to the specificity of any particular application. As an illustration the case of a transportation system is discussed.
14
Content available remote System informacyjno-diagnostyczny dla potrzeb odlewnictwa realizowany przy użyciu technologii agentowej
Kluska-Nawarecka S., Tybulczuk J., Kisiel-Dorohinicki M., Połcik H., Nawarecki E.
Archiwum Odlewnictwa
|
2006
|
R. 6, nr 18/1
45--52
PL
W artykule przedstawiono rolę i zadania komputerowych systemów informacyjnych we współczesnym przemyśle, ze szczególnym uwzględnieniem specyfiki przemysłu odlewniczego. Na tle ogólnego opisu systemu INFOCAST, naszkicowano zasady organizacji dostępu do informacji i wiedzy w systemach rozproszonych. Przedstawiono elementy rozwiązań opartych na wykorzystaniu technologii agentowych, wraz z przykładem wnioskowania z zakresu diagnostyki wad odlewów.
EN
The following paper presents the role and tasks of computer information system in modern industry with special emphasis on characteristics of foundry industry. The organisation principles of access to information and knowledge in distributed information systems are described on the basis of general description of INFOCAST system. The paper presents elements of solutions based on multi-agent technology together with and example of inference in the scope of casting defects diagnosis.
15
Content available remote Profile-based architecture of evolutionary MAS
Kisiel-Dorohinicki M., Dobrowolski G., Nawarecki E.
TASK Quarterly : scientific bulletin of Academic Computer Centre in Gdansk
|
2003
|
Vol. 7, No 1
65-72
EN
A sub-type of multi-agent systems (MAS) called evolutionary ones (EMAS), special in its features and field of application, needs a dedicated architecture that would be more adequate and easier in design and implementation. The proposed architecture uses the notion of a profile which models strategies and goals of an agent with respect to an aspect of its operation. To make a decision, an agent is equipped with an algorithm that coordinates premises determined in its profiles. The paper presents main ideas of the architecture illustrated with an actual realisation of an EMAS solving the multi-objective optimisation problem.
16
Content available remote Ewolucja architektury sieci neuronowej w agentowym systemie predykcji ciągów czasowych
Byrski A., Kisiel-Dorohinicki M.
Automatyka / Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie
|
2003
|
T. 7, z. 1-2
65-72
PL
W artykule zaprezentowano agentowy system ewolucji sieci neuronowych. Idea ewolucyjnego systemu wieloagentowego (EMAS) może pomóc w likwidacji pewnych wad, którymi charakteryzują się klasyczne techniki ewolucyjnej optymalizacji. Rozważania teoretyczne zostały zilustrowane prezentacją systemu rozwiązującego problem predykcji ciągów czasowych, dla którego przedstawiono wybrane wyniki eksperymentów.
EN
In the paper an agent system of evolving neural networks is presented. A concept of decentralised evolutionary computation realised as an evolutionary multi-agent system (EMAS) may help to avoid some of the shortcommings of classical evolutionary optimisation techniques. General considerations are illustrated by the particular system dedicated to a problem of time-series prediction. Selected experimental results conclude the work.
17
Mechanism of 'crowd' in evolutionary MAS for multiobjective optimisation
Kisiel-Dorohinicki M.
Prace Naukowe Politechniki Warszawskiej. Elektronika
|
2002
|
z. 139
63--74
EN
This work presents a new evolutionary approach to the search for a global solution (in the Pareto sense) to the multiobjective optirnisation problem. The novelty of the method proposed consists in the application of an evolutionary multi-agent system (EMAS) instead of classical evolutionary algorithms. Decentralisation of the evolutionary process in EMAS allows for intensive exploration of the search space, and the introduced mechanism of 'crowd' allows for effective approximation of the whole Pareto frontier. In the chapter the technique is described and preliminary experimental results are reported.
18
Dual nature of mass multi-agent systems.
Dobrowolski G., Kisiel-Dorohinicki M., Nawarecki E.
Systems Science
|
2001
|
Vol. 27, nr 3
77-95
EN
Dual nature of mass multi-agent systems (mMAS) emerging as an internal discord of two spheres - micro (virtual) consisting of agents and their internal phenomena, and macro arising at the interface to the real world $stems the necessity of a new approach to analysis, design and utilisation of such systems. Based on the concept of VR decomposition, the problem of management of such systems is discussed. As a sub-type that makes mMAS closer to the application sphere, an evolutionary multi-agent system (EMAS) is proposed. EMAS combines features of mMAS with advantages of an evolutionary model of computation. As an illustration of this consideration two particular EMAS are presented, which allow us to obtain promising results in the fields of multiobjective optimisation and time-series prediction, and thus justify the approach.
19
Content available remote Ewolucyjne systemy wieloagentowe dla optymalizacji wielokryterialnej
Kisiel-Dorohinicki M., Dobrowolski G., Nawarecki E.
Automatyka / Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie
|
2001
|
T. 5, z. 1/2
319-327
PL
W pracy zaproponowano nowe podejście do problemu poszukiwania globalnego rozwiązania zadania optymalizacji wielokryterialnej w sensie Pareto. Podejście opiera się na koncepcji ewolucyjnego systemu wieloagentowego, stanowiącej rozszerzenie klasycznego algorytmu ewolucyjnego. Decentralizacja procesu ewolucji i inne zjawiska właściwe systemom agentowym pozwalają na intensywniejsze przeszukiwanie przestrzeni rozwiązań i jednocześnie efektywną aproksymację frontu Pareto. Przedstawiono opis zastosowanej techniki rozwiązywania oraz wyniki podstawowych eksperymentów.
EN
This work introduces a new evolutionary approach to searching for a global solution in the Pareto sense to multiobjective optimisation problem. Novelty of the proposed method consists in application of an evolutionary multi-agent system (EMAS) instead of clasical evolutionary algorithms. Decentralisation of the evolution process in EMAS allows for intensive exploration of the search space and effective approximation of the whole Pareto frontier. In the paper a description of the technique is presented as well as preliminary experimental results are reported.
20
Evolution of neural networks in a multi-agent world
Kisiel-Dorohinicki M., Klapper-Rybicka M.
Zeszyty Naukowe Uniwersytetu Jagiellońskiego. Prace Informatyczne
|
2000
|
z. 10
37-50
EN
The concept of decentralised evolutionary computation realised as evolutionary multi-agent system (EMAS) is described in the paper. Also agent-based evolutionary approach to neural network architecture optimisation is presented. Then the problem of tme-series prediction and a general idea of evolutionary neural multi-agent predicting system is introduced. Selected design issues together with preliminary simulation results conclude the work.
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