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Wyniki wyszukiwania dla: DEEP LEARNINGKNOWLEDGE REPRESENTATIONNEURAL KNOWLEDGE DNARECOMMENDATION SYSTEMS

Wyniki wyszukiwania dla: DEEP LEARNINGKNOWLEDGE REPRESENTATIONNEURAL KNOWLEDGE DNARECOMMENDATION SYSTEMS

  • Context-Aware Indexing and Retrieval for Cognitive Systems Using SOEKS and DDNA

    Publikacja

    - Advances in Intelligent Systems and Computing - Rok 2019

    Visual content searching, browsing and retrieval tools have been a focus area of interest as they are required by systems from many different domains. Context-based, Content-Based, and Semantic-based are different approaches utilized for indexing/retrieving, but have their drawbacks when applied to systems that aim to mimic the human capabilities. Such systems, also known as Cognitive Systems, are still limited in terms of processing...

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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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  • Application of Semantic Knowledge Management System in Selected Areas of Polish Public Administration

    Publikacja
    • A. Wróblewska
    • A. Zięba
    • R. Mieńkowska - Norkiene
    • P. Kapłański
    • P. Zarzycki

    - Roczniki Kolegium Analiz Ekonomicznych - Rok 2013

    This paper describes an application of semantic technologies and knowledge management systems in chosen areas of Polish public administration. Short analyses of crisis management and EU policy coordination processes are presented. An architecture of a knowledge management system with interfaces using controlled natural language is proposed. A lot of examples are shown that prove a usefulness of semantic knowledge management and...

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  • Towards neural knowledge DNA

    Publikacja

    In this paper, we propose the Neural Knowledge DNA, a framework that tailors the ideas underlying the success of neural networks to the scope of knowledge representation. Knowledge representation is a fundamental field that dedicates to representing information about the world in a form that computer systems can utilize to solve complex tasks. The proposed Neural Knowledge DNA is designed to support discovering, storing, reusing,...

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  • Knowledge engineer – more than only technical position. The concept of knowledge engineering education at the Faculty of Management and Economics

    Publikacja

    - Rok 2014

    Organizational learning means an effective knowledge management. Management is nothing more than the constant decision-making. Therefore organizational learning must be seen through the prism of decisions taken at all levels. Unfortunately decisions are never taken within comfortable conditions. Decision maker suffers from a lack of any support. There is often a problem with human resources having right skills, sometimes they do...

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  • Toward Intelligent Vehicle Intrusion Detection Using the Neural Knowledge DNA

    Publikacja

    - CYBERNETICS AND SYSTEMS - Rok 2018

    In this paper, we propose a novel intrusion detection approach using past driving experience and the neural knowledge DNA for in-vehicle information system security. The neural knowledge DNA is a novel knowledge representation method designed to support discovering, storing, reusing, improving, and sharing knowledge among machines and computing systems. We examine our approach for classifying malicious vehicle control commands...

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  • Intelligent Knowledge-Base Model for IT Support Organization Evolution

    Publikacja

    - Rok 2010

    The goal of the paper is building the knowledge-based model for predicting the state of the IT support organization. These organizations, critical for development of various business sectors, are facing the problem of their transformation. It is the result of the fundamental change in the role of the IT organizations in the current economy. The complexity of the processes, the difficulty adjusting the operations and limited ability...

  • Virtual engineering process (VEP): a knowledge representation approach for building bio-inspired distributed manufacturing DNA

    The objective of this research is to provide a user-friendly and effective way of representing engineering processes for distributed manufacturing systems so that they can develop, accumulate and share knowledge. The basic defini-tion and principle of the approach is introduced first and then the prototype version of the system is developed and demonstrated with case studies, which verify the feasibility of the proposed approach....

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  • Neural Architecture Search for Skin Lesion Classification

    Deep neural networks have achieved great success in many domains. However, successful deployment of such systems is determined by proper manual selection of the neural architecture. This is a tedious and time-consuming process that requires expert knowledge. Different tasks need very different architectures to obtain satisfactory results. The group of methods called the neural architecture search (NAS) helps to find effective architecture...

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  • Representing and Managing Experiential Knowledge with Decisional DNA and its Drimos® Extension

    Publikacja

    - Rok 2022

    The Semantic Web concept is proposing a future concept of the WorldWideWeb (WWW) where both humans and man-made systems are able to interconnect and exchange knowledge. One of the challenges of Semantic Web is smart and trusted accommodation of knowledge in artificial systems so it can be unified, enhanced, reused, shared, communicated and distributed with added aptitude. Our research represents an important component of addressing...

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  • Krzysztof Kutt dr inż.

    Osoby

    Computer scientist and psychologist trying to combine expertise from both disciplines into something cool. My research activity focuses on the development of affective HCI/BCI interfaces (based on multimodal fusion of signals and contextual data), methods for processing sensory data (including semantization of such data) and the development of knowledge-based systems (in particular knowledge graphs and semantic web systems).

  • International Conference on Knowledge-based Intelligent Electronic Systems

    Konferencje

  • Knowledge work and knowledge workers in knowledge-based economy - theoretical considerations

    It is often claimed that an organization is as good as people working in it and that talented workers are the driving force of an organization. To cope with the growing requirements of knowledge-based economy, organizations need a special type of workers - knowledge workers. This is especially important in organizations building their competitive advantage on innovations and the application of information and communication technologies...

  • 2024_2025_ENGINEERING SURVEYING and GIS APPLICATIONS

    Kursy Online
    • A. Sobieraj-Żłobińska

    In this course students become  acquainted  with  basic  survey  measurements  and  modern  methods  used  in  engineering surveying. Students also get elementary knowledge on remote sensing and broaden understanding of  geographic information systems.

  • NATURAL DEEP EUTECTIC SOLVENTS IN EXTRACTION PROCESS

    Developing new, eco-friendly solvents which would meet technological and economic demands is perhaps the most popular aspects of Green Chemistry. Natural deep eutectic solvents (NADES) fully meet green chemistry principles. These solvents offer many advantages including biodegradability, low toxicity, sustainability, low costs and simple preparation. This paper provides an overview of knowledge regarding NADES with special emphasis...

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  • Supporting Management Decisions with Intelligent Mechanisms of Obtaining and Processing Knowledge

    This paper is a summary of the authors' work on a model of support for decision processes in organisation management. Key decisions in organisations are often made without sufficient knowledge and by people lacking the proper qualifications and experience. Without full support in decision processes, true threats to organisations are created. Therefore, to support decision processes in numerous organisations, apart from experts...

  • Text Mining Algorithms for Extracting Brand Knowledge; The fashion Industry Case

    Publikacja

    - Rok 2018

    Brand knowledge is determined by customer knowledge. The opportunity to develop brands based on customer knowledge management has never been greater. Social media as a set of leading communication platforms enable peer to peer interplays between customers and brands. A large stream of such interactions is a great source of information which, when thoroughly analyzed, can become a source of innovation and lead to competitive advantage....

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  • Strength of Materials II,Lectures,DAPE,spring 23-24(PG_00050281)

    Kursy Online
    • W. Wojnicz

    The aim of the subject is to acquire knowledge to conduct engineering calculation of systems under the complex load. Celem przedmiotu jest zapoznanie się z realizacją obliczeń wytrzymałościowych układów w złożonym stanie obciążenia.

  • Image Representation for Cognitive Systems Using SOEKS and DDNA: A Case Study for PPE Compliance

    Publikacja

    - Rok 2020

    Cognitive Vision Systems have gained significant interest from academia and industry during the past few decade, and one of the main reasons behind this is the potential of such technologies to revolutionize human life as they intend to work under complex visual scenes, adapting to a comprehensive range of unforeseen changes, and exhibiting prospective behavior. The combination of these properties aims to mimic the human capabilities...

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  • Tacit Knowledge Sharing and Value Creation in the Network Economy: Socially Driven Evolution of Business

    Publikacja

    - Rok 2018

    Key factors which affect competitive advantage in the network economy are innovation, relationships, cooperation, and knowledge. Sharing knowledge is not easy. Companies find it problematic. Presented studies show that the essence of the value creation today is not in sharing explicit but rather tacit knowledge, which is a source of creativity and innovation. Delivering value through knowledge does not only require efficient Transactive...

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  • Aleksander Orłowski dr hab. inż.

    Dr hab. inż. Aleksander Orłowski, profesor PG w Katedrze Zarządzania Wydziału Zarządzania i Ekonomii Politechniki Gdańskiej, v-ce prezes Forum Rozwoju Aglomeracji Gdańskiej. Zawodowo zajmuje się badaniem i rozwojem koncepcji Smart Cities, współautor (2016-2017) badań gotowości do Smart City dziesięciu czołowych polskich urzędów miejskich, autor książki: Model gotowości procesowej urzędu miejskiego dojścia do Smart City (2019)....

  • 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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  • Manufacturing Data Analysis in Internet of Things/Internet of Data (IoT/IoD) Scenario

    Publikacja

    - CYBERNETICS AND SYSTEMS - Rok 2018

    Computer integrated manufacturing (CIM) has enormous benefits as it increases the rate of production, reduces errors and production waste, and streamlines manufacturing sub-systems. However, there are some new challenges related to CIM operating in the Internet of Things/Internet of Data (IoT/IoD) scenarios associated with Industry 4.0 and cyber-physical systems. The main challenge is to deal with the massive volume of data flowing...

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  • Deep slot effect in the squirrel-cage induction motors with scalar (V/F) control

    Publikacja

    - Rok 2016

    Qualitative characteristics of the electrical drive considerably depend on identification accuracy of math model parameters. In particular, it is depend on detection accuracy of stator active resistance r1 that is used in calculation of flux linkages, rotary speed in sensorless control systems. Paper provides analysis of influence of stator deep slot effect to stator active resistance value

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  • Virtual Engineering Objects: Effective Way of Knowledge Representation and Decision Making

    Publikacja

    - Rok 2015

    This paper presents a knowledge representation case study by constructing Decisional DNA of engineering objects. Decisional DNA, as a knowledge representation structure not only offers great possibilities on gathering explicit knowledge of formal decision events but also it is a powerful tool for decision-making process. The concept of Virtual engineering Object (VEO), which is a knowledge and experience representation of engineering...

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  • Experience Based Clinical Decision Support Systems: An Overview and Case Studies

    Publikacja

    - Rok 2020

    This chapter briefly overviews the evolution of the application of the Decisional DNA and the Set of Experience Knowledge Structure (SOEKS) in the medical domain and in particular in the specific case of the experience-based decision support systems. Decisional DNA, as a knowledge representation structure, offers great possibilities on gathering explicit knowledge of formal decision events as well as a tool for decision making...

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  • Bio-inspired Decisional DNA in Machinas and other Man-made Systems: The Way Forward

    Publikacja

    - Rok 2014

    Artificial bio-inspired intelligent techniques and systems supporting smart, knowledge-based solutions of real world problems which are currently researched very extensively by research teams around the world, have enormous potential to enhance automation of decision making and problem solving for a number of diverse areas including design, manufacturing, Information Technology (IT), social communities of practice, and economics...

  • Novel “acid tuned” deep eutectic solvents based on protonated L-proline

    Publikacja

    The paper presents new types of deep eutectic solvents (DESs) based on L-proline protonated using three different acids (hydrochloric, sulfuric and phosphoric)and playing the role of a hydrogen bond acceptor(HBA). Glucose and xylitol were used as hydrogen bond donors (HBD). A series of deep eutectic solvents with various mole ratios were obtained for the systems L-proline: glucose and L-proline: xylitol. Density, melting point,...

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  • Mechanics of materials (PG_00057378), W/Ć, BM, II stop., sem1,3, lato, 2023/24

    Kursy Online
    • B. Rozmarynowski
    • P. M. Bielski

    The aim of this course is providing knowledge in the field of analysis and solving problems of mechanics and strength of one-dimensional systems (bars, beams, frames) and selected two-dimensional systems (shields, plates); preparing the student to solve problems involving complex cases of material strength; developing the ability to assess the stability of structural elements (forms of stability loss, critical forces); consolidation...

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

    Konferencje

  • DBpedia and YAGO as Knowledge Base for Natural Language Based Question Answering—The Evaluation

    The idea of automatic question answering system has a very long history. Despite constant improvement of the systems asking questions in the natural language requires very complex solutions. In this paper the DBpedia and YAGO are evaluated as a knowledge bases for simple class 1 and 2 question answering system. For this purpose a question answering system was designed and implemented. The proposed solution and the knowledge bases...

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  • Exploring Relationships Between Data in Enterprise Information Systems by Analysis of Log Contents

    Publikacja

    - Rok 2024

    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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  • Jaroslaw Spychala dr

    Osoby

    Oprócz bardzo dobrego wykształcenia osoba posiada również wieloletnie doświadczenie zawodowe, które jest poświadczeniem tego, że potrafi wykorzystać swoją wiedzę teoretyczną w praktycznych działaniach. Doświadczenie zawodowe jest bardzo bogate i rozbudowane. Ze względu na nabyte całkiem nowe umiejętności zwiększa się atrakcyjność doświadczonego pracownika. Są to między innymi kreatywne myślenie, zorientowanie na cel, odporność...

  • Developing an Ontology from Set of Experience KnowledgeStructure

    Publikacja

    - Rok 2006

    When referring to knowledge forms,collecting for all decision eventsin a knowledge-explicit way becomes a significant ask for any company. Set of experience knowledge structure can assis in accomplishing this purpose.However,after collecting,distributing and sharing that knowledge as adecisional DNA is even a more important advance.Distributing and sharing companies' decisional DNA through an efficient development of Ontologies...

  • Theoretical and Architectural Framework for Contextual Knowledge Bases

    The paper presents the approach aimed at building modularized knowledge bases in a systematic, context-aware way. The paper focuses on logical modeling of such knowledge bases, including an underlying SIM metamodel. The architecture of a comprehensive set of tools for knowledge-base systems engineering is presented. The tools enable an engineer to design, create and edit a knowledge base schema according to a novel context approach...

  • Establishing intelligent enterprise through community of practice for product innovation

    Publikacja

    This paper presents the idea of implementing the virtual Community of Practice for Product Innovation processes towards the establishment of intelligent enterprise. Since the fourth industrial revolution is passing through the developing phase, implementation of Cyber-Physical Production Systems require more realistic approach. Knowledge Management and Engineering plays an important role in manufacturing industries facing global...

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  • Deep learning based thermal image segmentation for laboratory animals tracking

    Publikacja

    Automated systems for behaviour classification of laboratory animals are an attractive alternative to manual scoring. However, the proper animals separation and tracking, especially when they are in close contact, is the bottleneck of the behaviour analysis systems. In this paper, we propose a method for the segmentation of thermal images of laboratory rats that are in close contact during social behaviour tests. For this, we are...

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  • Visual Content Representation for Cognitive Systems: Towards Augmented Intelligence

    Publikacja

    - Rok 2020

    Cognitive Vision Systems have gained significant attention from academia and industry during the past few decades. One of the main reasons behind this interest is the potential of such technologies to revolutionize human life since they intend to work robustly under complex visual scenes (which environmental conditions may vary), adapting to a comprehensive range of unforeseen changes, and exhibiting prospective behavior. The combination...

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  • CMMI - an Assurance of Transferability of Knowledge andProjects in a Distributed Enterprise

    Publikacja

    CMMI (Capability Maturity Model Integrated)is a reference model fordefining and performing processes in software and systems engineeringorganizations.An organization implementing CMMI,among other things,assures thatacit knowledge is properly externalized into formal knowledge.This externalization gives an organization opportunity to assure that knowledge and development projects are easily transferable across adistributed enterprise...

  • Cognitum Ontorion: Knowledge Representation and Reasoning System

    Publikacja

    “If knowledge can create problems, it is not through ignorance that we can solve them.” (Isaac Asimov). Nevertheless, at any point of human activity, knowledge (besides practice) is a key factor in understanding and solving any given problem. Nowadays, computer systems have the ability to support their users in an efficient and reliable way. In this paper we present and describe the functionality of the Cognitum Ontorion system....

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  • Semantic OLAP with FluentEditor and Ontorion Semantic Excel Toolchain

    Publikacja

    - Rok 2015

    Semantic technologies appear as a step on the way to creating systems capable of representing the physical world as real time computational processes. In this context, the paper presents a toolchain for an ontology based knowledge management system. It consists of the ontology editor, FluentEditor and the distributed knowledge representation system, Ontorion. FluentEditor is a comprehensive tool for editing and manipulating complex...

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  • System of innovation: a sectoral approach

    Publikacja

    - Rok 2009

    the article presents a systems approach to innovation as an alternative method of assessing the sector innovativeness. in the article the building blocks of each sectoral system of innovations (ssi) such as a knowledge base, institutions and actors are discussed. moreover, the five models of ssi are presented.

  • Towards a modification of a regulatory framework aiming at bunker oil spill prevention from ships - A design aspect of bunker tanks vents location guided by CFD simulations

    Publikacja

    Although accidental bunker oil spills at seaway are relatively rare events, they can be pose real threat to the natural marine environment. One of the reasons for the bunker spill to occur is a design failure; one of the ways it can demonstrate is an improper location or height of vent heads, leading to a bunker oil discharge during heavy rolling, due to sloshing phenomenon. Design of a ship and her systems is guided by various...

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  • Explainable AI for Inspecting Adversarial Attacks on Deep Neural Networks

    Deep Neural Networks (DNN) are state of the art algorithms for image classification. Although significant achievements and perspectives, deep neural networks and accompanying learning algorithms have some important challenges to tackle. However, it appears that it is relatively easy to attack and fool with well-designed input samples called adversarial examples. Adversarial perturba-tions are unnoticeable for humans. Such attacks...

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  • Security ontology construction and integration

    Publikacja

    - Rok 2011

    There are many different levels on which we can examine security. Each one is different from others, all of them are dependent on the context. Hence the need to bear additional knowledge enabling efficient utilization of the knowledge by the computers. Such information can be provided by ontologies. The paper presentsgathered requirements needed to be taken into account when creating an ontology. The method of ontology creation...

  • Description logic based generator of data-centric applications

    The knowledge stored in Ontology Management Systems (OMS) that originally has the form of expressions, can be seen as a user application specification or as knowledge provided by an expert. The generator of applications discussed in this paper is defined as a program that automatically generates an application that meets a certain specification stored in OMS. It is shown that it is possible to build a user interface for data management...

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  • Description logic based generator of data-centric applications

    Publikacja

    - Rok 2010

    The knowledge stored in Ontology Management Systems (OMS) that originally has the form of expressions, can be seen as a user application specification or as knowledge provided by an expert. The generator of applications discussed in this paper is defined as a program that automatically generates an application that meets a certain specification stored in OMS. It is shown that it is possible to build a user interface for data management...

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  • INFORMATION SOCIETY DEVELOPMENT TRENDS, FROM DATA THROUGH KNOWLEDGE TO WISDOM

    Publikacja

    - TASK Quarterly - Rok 2017

    The paper investigates both the causes and effects of the rapid increase in the data volume(BigData)andtheirimpactonhumancognition.TheroleoftheInternetindistributing and exchanging of such data, and their impact on the growth of the Information Society are emphasized. As a result, Wisdom Science – a new kind of research – emerges which has the potential to facilitate more advanced solutions in the digital world. In consequence,...

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  • SegSperm - a dataset of sperm images for blurry and small object segmentation

    Dane Badawcze

    Many deep learning applications require figure-ground segmentation. The performance of segmentation models varies across modalities and acquisition settings.

  • Decisional DNA for modeling and reuse of experiential clinical assessments in breast cancer diagnosis and treatment

    Publikacja
    • E. Sanchez
    • W. Peng
    • C. Toro
    • C. Sanin
    • M. Grana
    • E. Szczerbicki
    • E. Carrasco
    • F. Guijarro
    • L. Brualla

    - NEUROCOMPUTING - Rok 2014

    Clinical Decision Support Systems (CDSS) are active knowledge resources that use patient data to generate case specific advice. The fast pace of change of clinical knowledge imposes to CDSS the continuous update of the domain knowledge and decision criteria. Traditional approaches require costly tedious manual maintenance of the CDSS knowledge bases and repositories. Often, such an effort cannot be assumed by medical teams, hence...

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