PL
 |
EN
Preferencje help
Polish version English version Język
Widoczny [Schowaj] Abstrakt
Liczba wyników
Powiadomienia systemowe
  • Sesja wygasła!
  • Sesja wygasła!
  • Sesja wygasła!
  • Sesja wygasła!

Znaleziono wyników: 15

Liczba wyników na stronie
first rewind previous Strona / 1 next fast forward last
Wyniki wyszukiwania
help Sortuj według:

help Ogranicz wyniki do:
first rewind previous Strona / 1 next fast forward last
1
Content available Enterprise service bus architecture for the big data systems
Orłowski C., Szczerbicki E., Grabowski J.
Management and Production Engineering Review
|
2014
|
Vol. 5, No. 1
28--31
EN
This paper presents the construction of the enterprise service bus architecture in data processing resources for a big data decision-making system for the City Hall in Gdansk. The first part presents the key processes of bus developing: the installation of developing environment, the database connection, the flow mechanism and data presentation. Developing processes were supported by models: KPI (Key Processes Identifier) and SOP (Simple Operating Procedures) (also connected to the bus). The summary indicates the problems of the bus construction, especially processes of routing, conversion, and handling events.
2
Toward smart decision support system for mortgage market
Orłowski A., Szczerbicki E.
Systems Science
|
2010
|
Vol. 36, no 1
35-40
EN
This paper presents the structure of initial fuzzy model representing the Polish Internet Mortgage Market. It starts with an introduction describing the market complexities and challenges, and description of previously created rule based model. Then the steps of the process of proposed model fuzzification are presented. Next, there is presented Graphic User Interface developed for the model created. The final part of the paper consists of conclusions and directions for future research.
3
Decisional DNA-based embedded systems: A new perspective
Zhang H., Sanin C., Szczerbicki E.
Systems Science
|
2010
|
Vol. 36, no 1
21-26
EN
Nowadays, knowledge-based embedded systems have become a new trend on embedded systems. They are capable of knowledge acquisition, reusing, evolving and sharing. However, due to the lack of standardized solutions and development platforms, it is not only very hard to share knowledge among different knowledge-based embedded systems, but this also causes huge waste by redesign, redevelopment, and knowledge re-acquiring. In this paper, we propose the Decisional DNA-based Embedded Systems as a new approach to meet this demand. Decisional DNA is a domain-independent, flexible and standard knowledge representation structure. We apply Decisional DNA to embedded systems to make them acquire, reuse, evolve and share knowledge in an easy and standard way. As a result, we propose the features, architecture and application types for the embedded systems.
4
A proposal for knowledge sharing in the E-Decisional Community using Decisional DNA
Mancilla-Amaya L., Sanin C., Szczerbicki E.
Systems Science
|
2010
|
Vol. 36, no 1
13-19
EN
The E-Decisional Community is a proposal that aims at enabling knowledge sharing between individuals and organizations, using the Set of Experience Knowledge Structure (SOEKS) and Decisional DNA as knowledge representations; it is based upon principles from Software Agents, Grid and Cloud computing. In this paper, we present an analysis of different agent communication and knowledge representation languages, with the purpose of defining a set of basic mechanisms to be used in the E-Decisional Community for knowledge exchange between its members.
5
Decisional experience: a new approach to intelligent knowledge representation
Sanin C., Szczerbicki E.
Systems Science
|
2009
|
Vol. 35, no 3
63-67
EN
We learn through experience. Our brain stores knowledge in terms of keeping our own experience from past situations as well as adding knowledge by learning from experiences of others. All these experiences, over generations, are stored in individual's DNA that carries this information into the future. Our idea is to develop an artificial system, an architecture that would support discovering, adding, storing, improving, and sharing knowledge through experience, in a way similar in some very general sense to what happens in nature. We propose a novel approach in which knowledge is represented by Set of Experience Knowledge Structure (SOEKS), and is carried into the future by Decisional DNA. This paper reports on our efforts at the stage of developing and example of SOEKS.
6
The concept of rule model of the internet mortgage market
Orłowski A., Szczerbicki E.
Foundations of Control and Management Sciences
|
2009
|
No. 12
51-58
EN
The aim of the paper is to build the model which might help to predict the number of mortgages sold on the Polish Internet market. Due to the specificity of this market, the great number of variables, also linguistic ones, influencing the market, traditional models and statistical methods proved to be improper. Thus an attempt at constructing a model integrating the traditional (analytic) approach with the soft (fuzzy) one was undertaken by the authors. The first part of this paper presents the description of the market. Next the rule model of the Internet mortgage market with its variables, constraints and scenarios is presented. Then authors present verification of the model made during the worldwide financial crisis in the year 2008, followed by the presentation of ideas for changes that will have to be introduced into the model. The last part of the paper consists of conclusions and the outline for future work.
7
Experience database based on a workflow class system
Kucharski B., Szczerbicki E.
Foundations of Control and Management Sciences
|
2009
|
No. 12
41-50
EN
"Experience counts", this is very true, but do we even try to preserve it in a real persistent way? This article introduces a template for building an experience database on top of a workflow system. The presented solution is based on minimal effort approach which is truly cost efficient. Another advantage of this approach is low risk connected with introduction of new features, because we only add them in an independent way without modifying any of core workflow system elements. To illustrate the idea we choose well-known open-source software and an ordinary relational database. The solution is universal and can be applied to other real life cases including commercially boxed software, because it focuses on public Application Programming Interface (API) and database integration level. As a result we get a case based experience database with browsing abilities.
8
Toward decisional DNA: developing holistic set of experience knowledge structure
Sanin C., Szczerbicki E.
Foundations of Control and Management Sciences
|
2008
|
No. 9
109-122
EN
Set of Experience Knowledge Structure (SOEKS) is a structure able to collect and manage explicit knowledge of formal decision events on different forms. It was built as part of a platform for transforming information into knowledge named Knowledge Supply Chain System (KSCS). In brief, the KSCS takes information from different technologies that make formal decision events, integrates them and transforms them into knowledge represented by Sets of Experience. SOEKS is a structure that can be source and target of multiple technologies. Moreover, it comprises variables, functions, constraints and rules associated in a DNA shape allowing the construction of Decisional DNA. However, when having various dissimilar Sets of Experience as output of the same formal decision event, a renegotiation and unification of the decision has to be performed. The purpose of this paper is to show the process of renegotiating various dissimilar Sets of Experience collected from the same formal decision event.
9
Knowledge management embedded in software engineering processes
Kowalczyk A., Szczerbicki E.
Foundations of Control and Management Sciences
|
2008
|
No. 9
87-95
EN
Knowledge is managed, at least informally and unconsciously, in every organization. However, it is not the primary goal of most organizations: the usual primary goal is profit, by producing and successfully selling products. One cannot expect that knowledge management processes will be visible as the separate processes in an organization. Instead, they rather should be expected as hidden (embedded) in core production processes of the organization. The chapter presents process models useful for creating a mapping of the embedded KM in software engineering processes. There is also discussed a method for creating the mapping and criteria for matching process model elements in the mapping.
10
Implementing decisional DNA in industrial maintenance by a knowledge SOUPA extension
Sanin C., Toro C., Vaquero J., Szczerbicki E., Posada J.
Systems Science
|
2007
|
Vol. 33, no 2
61-68
EN
In this paper, we present a framework and a system implementation for the exploitation of embedded knowledge in the domain of industrial maintenance in a mobile context, using Augmented Reality techniques. We base our approach in the SOUPA group of ontologies (Standard Ontology for Ubiquitous and Pervasive Applications). Our approach extends SOUPA with two new ontologies: (i) the Set of Experience Knowledge Structure, used to model the user’s experience, and (ii) the AR ontology which models an Augmented Reality environment that is used to enhance the maintenance experience through virtual elements. As test case, we implemented our approach in different portable devices with video input capabilities such as UMPCs and Tablet PCs.
11
Środki chemiczne dla przemysłu skórzanego
Szczerbicki E.
Przegląd Włókienniczy - Włókno, Odzież, Skóra
|
2007
|
nr 10
29-29
12
Sympozjum dla garbarzy
Szczerbicki E.
Przegląd Włókienniczy - Włókno, Odzież, Skóra
|
2007
|
nr 10
18-18
13
Set of experience: a knowledge structure for formal decision events
Sanin C., Szczerbicki E.
Foundations of Control and Management Sciences
|
2005
|
No. 3
95-113
EN
When managers have to make a decision, they use previous similar or equal decisions to help themselves in the new decision-making process. Hence, it is very important to keep record of past decisions. For us, every formal decision taken has to be stored as knowledge or/and as an event that has occurred. A technology able to do this will allow us to improve our decision making process, reducing the decision time, as well as avoiding repetition and duplication in the process. Developing a knowledge structure, which would store experience from the day-to-day decision process, as well as allows us to administer that acquired knowledge, will improve the quality of decision-making. We are proposing such a knowledge structure, which is named a Set of Experience. A Set of Experience is a combination of organized information obtained from a formal decision event Fully applied, the Set of Experience knowledge structure could advance the notion of administering knowledge in the current decision making environment.
14
Managing knowledge in the new society
Szczerbicki E., Latos M.
Foundations of Control and Management Sciences
|
2005
|
No. 3
115-136
EN
Our society is recently referred to as the Information Society, the world in which low-cost information and information and communications technologies (ICTs) are in general use, or as the Knowledge Society to emphasise that the most valuable investment nowadays is in intangible, human and social capital, and the primary factors are knowledge and creativity. These resources have to be managed appropriately. In the New Society competitiveness of entire nations and regions depends on industries and their capacity to innovate and upgrade. For that reason knowledge management, related techniques and technologies should be recognised amongst enterprises and systematically implemented as the part of their culture.
15
Metodo logiczne aspekty opisowego modelowania w naukach ekonomicznych
Waszczyk M., Szczerbicki E.
Zeszyty Naukowe Politechniki Gdańskiej. Filozofia
|
2003
|
Nr 7(596)
5-22
PL
Przedmiot badań ekonomicznych, jako system złożony, podlega modelowaniu. Etapy dekompozycji i jakościowego opisu modelowanego systemu, w tym systemu gospodarczego, są nieodzowne w prawidłowym prowadzeniu badań naukowych. Z drugiej strony modelowanie w ekonomii nie powinno być pozbawione matematycznego języka opisu, ponieważ konstruując model wyjaśniający, należy posługiwać się zarówno modelem opisowym, jak i sformalizowanym. Tak zbudowany model wyjaśniający może stanowić bazę prognozowania dla wysnuwania testowalnych prognoz. W ten sposób badania naukowe, wychodząc od rzeczywistości, powracają do niej ponownie i cykl tworzenia teorii naukowej się zamyka.
EN
The paper discusses various modeling platforms that can be applied to describe complex systems embedded in economics, as well as the role of modeling in the context of three main functions of scientific research: description, explanation and prediction. Qualitative modeling (non-quantitative) is characterized as an initial stage of any modeling approaches, including the one represented by econometrics. The requirement to begin modeling process from non-quantitative perspective represents the vital precondition to satisfy the "isomorphism" function of modeling in relation to real live systems being modeled. Qualitative as well as quantitative description models create the foundation for explanatory model s development. These, in turn, can be used for prediction purposes satisfying the third main scientific function of research.
first rewind previous Strona / 1 next fast forward last
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.