Wyniki wyszukiwania dla: EXPERIENCEBASED KNOWLEDGE REPRESENTATION - MOST Wiedzy

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Wyniki wyszukiwania dla: EXPERIENCEBASED KNOWLEDGE REPRESENTATION

Wyniki wyszukiwania dla: EXPERIENCEBASED KNOWLEDGE REPRESENTATION

  • Smart innovation process enhancement using SOEKS and decisional DNA

    Publikacja

    Product innovation always requires a foundation based on both knowledge and experience. The production and innovation process of products is very similar to the evolution process of humans. The genetic information of humans is stored in genes, chromosomes and DNA. Similarly, the information about the products can be stored in a system having virtual genes, chromosomes and decisional DNA (DDNA). The present paper proposes...

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  • Framework for Product Innovation Using SOEKS and Decisional DNA

    Publikacja

    - Rok 2016

    Product innovation always requires a foundation based on both knowledge and experience. The production and innovation process of products is very similar to the evolution process of humans. The genetic information of humans is stored in genes, chromosomes and DNA. Similarly, the information about the products can be stored in a system having virtual genes, chromosomes and decisional DNA. The present paper proposes a framework for...

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  • Strength of Materials II,Lectures,DAPE,spring 21-22 (PG_00050281)

    Kursy Online
    • W. Wojnicz

    The aim of the subject is to acquire knowledge related to the strength of materials II (mechanics of material, part 2)

  • Are Pair Trading Strategies Profitable During COVID-19 Period?

    Publikacja
    • M. K. Sohail
    • A. Raheman
    • J. Iqbal
    • M. I. Sindhu
    • A. Staar
    • M. Mushafiq
    • H. Afzal

    - Journal of Information & Knowledge Management - Rok 2022

    Pair trading strategy is a well-known profitable strategy in stock, forex, and commodity markets. As most of the world stock markets declined during COVID-19 period, therefore this study is going to observe whether this strategy is still profitable after COVID-19 pandemic. One of the powerful algorithms of DBSCAN under the umbrella of unsupervised machine learning is applied and three clusters were formed by using market and accounting...

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  • Personal Branding—A New Competency in the Era of the Network Economy. Corporate Brand Performance Implications

    Publikacja

    - Rok 2018

    Primary assets of the network economy are information, network, re-lationships, knowledge, and a virtual environment. The competency of personal branding exercised by knowledge workers, also thought of as knowledge producers, is becoming a natural consequence of the business environment where the significance of hierarchies is constantly decreasing. Knowledge workers are powerful as never be-fore and can exist as separate actors...

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  • Jeremiah Otieno

    Osoby

  • Smart Innovation Management in Product Life Cycle

    Publikacja

    The present paper proposes a framework for smart innovation management of the product using a Smart Knowledge Management System comprising Set of Experience Knowledge Structure (SOEKS) and Decisional DNA. This proposed system will allow the entrepreneurs and organizations to perform the innovation process technically and quickly as this framework will store knowledge as well as experiences of the past innovations done in various...

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  • Enhancing Product Innovation Through Smart Innovation Engineering System

    Publikacja

    - Rok 2017

    This paper illustrates the idea of Smart Innovation Engineering (SIE) System that helps in carrying the process of product innovation. The SIE system collects the experiential knowledge from the formal decisional events. This experiential knowledge is collected from the set of similar products having some common functions and features. Due to the fact that SIE system collects, captures and reuses the experiential knowledge of all...

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  • CK STOS Utworzenie w Gdańsku Centrum Kompetencji STOS (Smart and Transdisciplinary knOwledge Services) w zakresie infrastruktury B+R

    Projekty

    Kierownik projektu: prof. dr hab. inż. Henryk Krawczyk   Program finansujący: Regionalny Program Operacyjny dla Województwa Pomorskiego na lata 2014-2020

    Projekt realizowany w Centrum Informat. Trójmiejskiej Akadem.Sieci Komputerowej zgodnie z porozumieniem RPPM.01.02.00-22-0001/17-00 z dnia 2019-05-06

  • An Automated Method for Biometric Handwritten Signature Authentication Employing Neural Networks

    Publikacja

    Handwriting biometrics applications in e-Security and e-Health are addressed in the course of the conducted research. An automated graphomotor analysis method for the dynamic electronic representation of the handwritten signature authentication was researched. The developed algorithms are based on dynamic analysis of electronically handwritten signatures employing neural networks. The signatures were acquired with the use of the...

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  • Justyna Martyniuk-Pęczek dr hab. inż. arch.

    Justyna Martyniuk-Pęczek, dr hab. inż. arch., urbanista, architekt światła.  Doktor habilitowany nauk technicznych w dyscyplinie architektura i urbanistyka, z dodatkową specjalnością architektonicznego projektowania światłem. Podstawowym obszarem jej zainteresowań naukowych jest urbanistyka, w obrębie której skoncentrowała się na trzech nurtach badawczych, a mianowicie: Problemy kształtowania współczesnych przestrzeni publicznych,...

  • A Universal Theory of Wisdom . A Mind - oriented Approach

    Publikacja

    - DIALOGUE AND UNIVERSALISM - Rok 2020

    The purpose of the paper is to synthesize the issues of human wisdom in terms of minds which create knowledge-based judgment. We form a transdisciplinary, big-picture view of the wisdom of humans. Findings: Wisdom is the right judgment and choice in the context of the art of living. Practical implications: Wisdom can be developed within the set of minds. Social implications: To pursue wisdom in thinking and action, one must extend...

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  • International Cross-Domain Conference for Machine Learning and Knowledge Extraction

    Konferencje

  • International Colloquium on Data Sciences, Knowledge Discovery and Business Intelligence

    Konferencje

  • International Conference on Knowledge-Based and Intelligent Information and Engineering Systems

    Konferencje

  • A Semiautomatic Experience-Based Tool for Solving Product Innovation Problem

    Publikacja

    - CYBERNETICS AND SYSTEMS - Rok 2017

    In this paper we present the idea of Smart Innovation Engineering (SIE) System and its implementation methodology. The SIE system is semi-automatic system that helps in carrying the process of product innovation. It collects the experiential knowledge from the formal decisional events. This experiential knowledge is collected from the group of similar products having some common functions and features. The SIE system behaves like...

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  • Community of Practice for Product Innovation Towards the Establishment of Industry 4.0

    Publikacja

    - Rok 2018

    The aim of this paper is to present the necessity of formulating the Community of Practice for Product Innovation process based on Cyber-Physical Production Systems towards the establishment of Industry 4.0. At this developing phase of Industry 4.0, there is a need to define a clear and more realistic approach for implementation process of Cyber-Physical Production Systems in manufacturing industries. Today Knowledge Management...

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  • Dangerous sound event recognition using Support Vector Machine classifiers

    Publikacja

    A method of recognizing events connected to danger based on their acoustic representation through Support Vector Machine classification is presented. The method proposed is particularly useful in an automatic surveillance system. The set of 28 parameters used in the classifier consists of dedicated parameters and MPEG-7 features. Methods for parameter calculation are presented, as well as a design of SVM model used for classification....

  • Port-based approach to distributed transfer function method

    Publikacja

    In the paper there is presented an uniform, port-based approach to modeling of both lumped and distributed parameter systems. Port-based model of distributed system has been defined by application of distributed transfer function method (DTFM). The approach proposed combines versatility of port - based modeling and accuracy of distributed transfer function method. It enables to formulate appropriate input data for computer analysis...

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  • KOLMOGOROV EQUATION SOLUTION: MULTIPLE SCATTERING EXPANSION AND PHOTON STATISTICS EVOLUTION MODELING

    Publikacja

    We consider a formulation of the Cauchy problem for the Kolmogorov equation which corresponds to a localized source of particles to be scattered by a medium with a given scattering amplitude density. The multiple scattering amplitudes are introduced and the corresponding series solution of the equation is constructed. We investigate the integral representation for the first series terms, its estimations and values of the photon...

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  • Experimental and numerical study of thermal and electrical potential of BIPV/T collector in the form of air-cooled photovoltaic roof tile

    Among renewable energy sources, Building-Integrated Photovoltaic/Thermal (BIPV/T) systems are gaining increasing interest. To improve their economic competitiveness, technologies that increase their efficiency are searched for. The paper is devoted to evaluating the impact of various air-cooling configurations on the thermal and electrical performance of a photovoltaic roof tile. A numerical model of the own experimental system...

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  • Multi-objective optimization of expensive electromagnetic simulation models

    Vast majority of practical engineering design problems require simultaneous handling of several criteria. For the sake of simplicity and through a priori preference articulation one can turn many design tasks into single-objective problems that can be handled using conventional numerical optimization routines. However, in some situations, acquiring comprehensive knowledge about the system at hand, in particular, about possible...

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  • Investigating Feature Spaces for Isolated Word Recognition

    Publikacja

    - Rok 2018

    Much attention is given by researchers to the speech processing task in automatic speech recognition (ASR) over the past decades. The study addresses the issue related to the investigation of the appropriateness of a two-dimensional representation of speech feature spaces for speech recognition tasks based on deep learning techniques. The approach combines Convolutional Neural Networks (CNNs) and timefrequency signal representation...

  • Analysis-by-synthesis paradigm evolved into a new concept

    This work aims at showing how the well-known analysis-by-synthesis paradigm has recently been evolved into a new concept. However, in contrast to the original idea stating that the created sound should not fail to pass the foolproof synthesis test, the recent development is a consequence of the need to create new data. Deep learning models are greedy algorithms requiring a vast amount of data that, in addition, should be correctly...

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  • Properties and interpretation of Instantaneous Complex Frequency

    Publikacja

    - POLISH JOURNAL OF ENVIRONMENTAL STUDIES - Rok 2011

    The concept of Instantaneous Complex Frequency (ICF) was first defined by Lindon and developed mainly in works of two authors S. Hahn and M. Rojewski. Although it is not widely used in signal analysis, ICF was already used as a complex signal representation in the verification of handwritten signatures, pitch estimation, symbol timing recovery in PSK receiver and in detection of anomalies in data transmission. It should be noted,...

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  • Management of Textual Data at Conceptual Level

    Publikacja

    - Rok 2011

    The article presents the approach to the management of a large repository of documents at conceptual level. We describe our approach to representing Wikipedia articles using their categories. The representation has been used to construct groups of similar articles. Proposed approach has been implemented in prototype system that allows to organize articles that are search results for a given query. Constructed clusters allow to...

  • Wykorzystanie Web 2.0 oraz architektury informacji w pracy brokera informacji.

    Publikacja

    - Rok 2011

    The development of information and communication technologies, dissemination of access as well as unlimited increase of publications result in the uncontrolled growth of knowledge resources. Looking up for the relevant information becomes increasingly difficult, especially when time plays a role. Such process requires vast knowledge, practical experience in obtaining and providing information and also analytical skills that...

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  • Experience-Based Decisional DNA (DDNA) to Support Product Development

    Publikacja

    - CYBERNETICS AND SYSTEMS - Rok 2018

    Knowledge and experience are important requirements for product development. The aim of this paper is to propose a systematic approach for industrial product development. This approach uses smart knowledge management system comprising of Set of Experience Knowledge Structure and Decisional DNA (DDNA) along with Virtual Engineering Tools (Virtual engineering object, Virtual engineering process, and Virtual engineering factory)....

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  • Smart Virtual Product Development (SVPD) System to Support Product Inspection Planning in Industry 4.0

    Publikacja

    - Procedia Computer Science - Rok 2020

    This paper presents the idea of supporting product inspection planning process during the early stages of product life cycle for the experts working on product development. Aim of this research is to assist a collaborative product development process by using Smart Virtual Product Development (SVPD) system, which is based on Set of Experience Knowledge Structure (SOEKS) and Decisional DNA (DDNA). The proposed system is developed...

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  • Agent System for Managing Distributed Mobile Interactive Documents

    The MIND architecture of distributed mobile interactive document is a new processing model defined for facilitate informed decision-making in non-algorithmic decision-making processes carried out by knowledge-based organizations. The aim of this architecture is to change the static document to mobile agents, which are designed to implement the structure of the organization through autonomous migration between knowledge workers...

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  • Integrable zero-range potentials in a plane

    We examine general statements in the Wronskian representation of Darboux transformations for plane zero-range potentials. Such expressions naturally contain scattering problem solution. We also apply Abel theorem to Wronskians for differential equations and link it to chain equations for Darboux transforms to fix conditions for further development of the underlying distribution concept. Moutard transformations give a convenient...

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  • The equivariant spectral flow and bifurcation of periodic solutions of Hamiltonian systems

    We define a spectral flow for paths of selfadjoint Fredholm operators that are equivariant under the orthogonal action of a compact Lie group as an element of the representation ring of the latter. This G-equivariant spectral flow shares all common properties of the integer valued classical spectral flow, and it can be non-trivial even if the classical spectral flow vanishes. Our main theorem uses the G-equivariant spectral flow...

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  • Sektor usług wiedzochłonnych oraz jego dynamika i struktura zatrudnienia w krajach Unii Europejskiej

    Niniejszy artykuł dotyczy sektora usług wiedzochłonnych oraz jego dynamiki i struktury zatrudnienia. W części teoretycznej opracowania przedstawiono zagadnienia definicyjne oraz klasyfikacyjne związane z sektorem usług wiedzochłonnych, a także omówiono kwestie wiedzochłonności tego sektora. W części badawczej zaprezentowano analizę dynamiki i struktury zatrudnienia w sektorach usług wiedzochłonnych krajów należących do Unii Europejskiej....

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  • Processes of enhancing the intelligence of Learning Organizations on the basis of Competence Centers

    The process of organizational learning and proper knowledge management became today one of the major challenges for the organization acting in the knowledge-based economy. According to the observations of the authors of this paper the demand for formalization of knowledge management processes and organizational learning is particularly evident in research institutions, established either by the universities, or the companies. The...

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  • KOMPUTER W LABORATORIUM VS LABORATORIUM W KOMPUTERZE

    Publikacja

    - Rok 2020

    Abstract. In March 2020, all of the sudden, university teachers have been made to run all the classes remotely. But, how to deal with lab classes for future engineers? Different aspects of teaching labs on Moodle, that should be taken in consideration, are not only connected with the content of the class, but also with transferring the knowledge and materials to the students in a way that would avoid distractions and help students...

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  • Application of autoencoder to traffic noise analysis

    The aim of an autoencoder neural network is to transform the input data into a lower-dimensional code and then to reconstruct the output from this code representation. Applications of autoencoders to classifying sound events in the road traffic have not been found in the literature. The presented research aims to determine whether such an unsupervised learning method may be used for deploying classification algorithms applied to...

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  • Detecting Lombard Speech Using Deep Learning Approach

    Publikacja
    • K. Kąkol
    • G. Korvel
    • G. Tamulevicius
    • B. Kostek

    - SENSORS - Rok 2023

    Robust Lombard speech-in-noise detecting is challenging. This study proposes a strategy to detect Lombard speech using a machine learning approach for applications such as public address systems that work in near real time. The paper starts with the background concerning the Lombard effect. Then, assumptions of the work performed for Lombard speech detection are outlined. The framework proposed combines convolutional neural networks...

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  • Resource constrained neural network training

    Publikacja

    Modern applications of neural-network-based AI solutions tend to move from datacenter backends to low-power edge devices. Environmental, computational, and power constraints are inevitable consequences of such a shift. Limiting the bit count of neural network parameters proved to be a valid technique for speeding up and increasing efficiency of the inference process. Hence, it is understandable that a similar approach is gaining...

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  • Systems, Environments, and Soliton Rate Equations: Toward Realistic Modeling

    Publikacja

    In order to solve a system of nonlinear rate equations one can try to use some soliton methods. The procedure involves three steps: (1) find a ‘Lax representation’ where all the kinetic variables are combined into a single matrix ρ, all the kinetic constants are encoded in a matrix H; (2) find a Darboux–Bäcklund dressing transformation for the Lax representation iρ˙=[H,f(ρ)], where f models a time-dependent environment; (3) find...

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  • Fluid Mechanics, W/C, EaPE (Dezhou), sem.5, zimowy 23/24 (PG_00059698)

    Kursy Online
    • M. Banaszek

    Objective of the subject is to supply the student with the theoretical and practical knowledge, enabling him to solve engineering computational and experimental problems related to fluid mechanics.

  • Developing Prognostic Models of Organization Evolution

    Publikacja

    - Rok 2011

    The work focuses on the problem of measuring evolution of IT organizations. Changes in business influence functioning of the IT organization. IT departments or companies must ensure that the needs of their parent company/customers will be met. Therefore they must constantly evolve. Following question can be raised: is it possible to support process of changes the IT organization to run it smoother, faster, easier but with reduced...

  • Lexicon Based Algorithm for Domain Ontology Merging and Alignment

    Publikacja

    More and more systems contain some kind of knowledge describing their field of operation. Such knowledge in many cases is stored as an ontology. A need arises for ability to quickly match those ontologies to enable interoperability of such systems. The paper presents a lexicon based algorithm for merging and aligning of OWL ontologies. The proposed similarity levels are being presented and the proposed algorithm is being described....

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  • Smart Innovation Engineering: Toward Intelligent Industries of the Future

    Publikacja

    - CYBERNETICS AND SYSTEMS - Rok 2018

    Knowledge-based Engineering Systems are founded upon integration of knowledge into computer systems and are one of the core requirements for the future Industry 4.0. This paper presents a system called Smart Innovation Engineering (SIE) capable of facilitating product innovation process semi-automatically. It enhances decision-making processes by using the explicit knowledge of formal decision events. The SIE system carries the...

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  • Discovering relationships between data in an enterprise information system using log analysis

    Publikacja

    - Rok 2023

    Enterprise systems are inherently complex and maintaining their full, up-to-date overview poses a serious challenge to the enterprise architects’ teams. This problem encourages the search for automated means of discovering knowledge about such systems. An important aspect of this knowledge is understanding the data that are processed by applications and their relationships. In our previous work, we used application logs of an enterprise...

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  • Training Services in Small and Medium-sized Enterprises: Evidence from Poland

    In the knowledge-based economy knowledge and skills are becoming more and more significant for the success of companies. This applies also to firms from small and medium-sized enterprises (SMEs) sector. As large companies in many cases posses special divisions devoted to trainings, they normally have no problems with updating the knowledge and skills of their employees. The situation is different with regard to SMEs, which often...

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  • Decisional DNA and Optimization Problem

    Publikacja

    - Rok 2013

    Many researchers have proved that Decisional DNA (DDNA) and Set of Experience Knowledge Structure (SOEKS or SOE) is a technology capable of gathering information and converting it into knowledge to help decision-makers to make precise decisions in many ways. These techniques have a feature to combine with different tools, such as data mining techniques and web crawlers, helping organization collect information from different sources...

  • Landscape perception and the teaching of it in Poland

    A preliminary assessment of the state of knowledge of landscape perception is contained in this article. A survey was carried out of students of architecture and urban planning during the rural design course in the academic year 2017/2018. The pilot project involved the initial establishment of categories of the countryside image. It was assumed that the results represented students’ knowledge of the landscape characteristics and...

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  • Komputerowe wspomaganie projektowania (CAD), W/P, ZiIP, sem. 04 lato 2023/2024 [PG_00061990]

    Kursy Online
    • P. Sender
    • E. Kozłowska

    Nabycie wiedzy i umiejętności projektowania z użyciem systemów CAD. (Acquiring knowledge and skills in designing using CAD systems.)

  • Hybrid approach to ontology specification and development

    Publikacja

    In this chapter a first draft of a hybrid ontology development approach is presented. The context of this method encompasses the multi-agent system equipped with knowledge bases and inferring engine. The process of ontology engineering appears as a complex issue, as it addresses different point-views of both, a client and a modeler with a requirements/system analyst. Regarding this, an approach based on the knowledge preprocessing...

  • Advances in Architectures, Big Data, and Machine Learning Techniques for Complex Internet of Things Systems

    Publikacja

    - COMPLEXITY - Rok 2019

    Te feld of Big Data is rapidly developing with a lot of ongoing research, which will likely continue to expand in the future. A crucial part of this is Knowledge Discovery from Data (KDD), also known as the Knowledge Discovery Process (KDP). Tis process is a very complex procedure, and for that reason it is essential to divide it into several steps (Figure 1). Some authors use fve steps to describe this procedure, whereas others...

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