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Wyniki wyszukiwania dla: CRITIQUE OF KNOWLEDGE
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International Conference on Learning Analytics and Knowledge
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Knowledge and Data Engineering Exchange Workshop
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International Conference on Semantics Knowledge and Grid
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IEEE Transactions on Knowledge and Data Engineering
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Natural Language Processing and Knowledge Engineering
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Workshop on Scientific Knowledge, Information, and Computing
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International Conference on Legal Knowledge and Information Systems (International Conference on Legal Knowledge-based Systems)
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Standard of living in Poland at regional level - classification with Kohonen self-organizing maps
PublikacjaThe standard of living is spatially diversified and its analyzes enable shaping regional policy. Therefore, it is crucial to assess the standard of living and to classify regions due to their standard of living, based on a wide set of determinants. The most common research methods are those based on composite indicators, however, they are not ideal. Among the current critiques moved to the use of composite...
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Input files for the Floodsar software
Dane BadawczeInput files for the Floodsar softwareAuthor: Tomasz Berezowski, Gdansk University of Technology, tomberez@eti.pg.edu.pl
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Hanna Gaweł
OsobyHanna Gawel is a Doctoral Student of the Doctoral School in the Social Sciences in the discipline of Social Communication and Media at Jagiellonian University. Hanna’s research focuses on knowledge, information management and the influence of well-served information in different formats on society. She is currently writing a PhD thesis about how information pollutants affect information regarding air quality in Polish metropolises....
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Dariusz Jenek mgr inż.
OsobyI am an interdisciplinary person with basic knowledge at Structured Query Language. I combine the following areas: - sociology, - management, - economics, - mathematics and computer science, - data analysis.
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Social learning and knowledge flows in cluster initiatives, In: Sanz S.C., Blanco F.P., Urzelai B. (Eds). Human and Relational Resources (pp. 44-45). the 4th International Conference on Clusters and Industrial Districts CLUSTERING, University of Valencia, Spain, May 23–24 (ISBN: 978-84-09-11926-4).
PublikacjaPurpose – The purpose of the paper is to explore how learning manifests and knowledge flows in cluster initiatives (CIs) due to interactions undertaken by their members. The paper addresses the research question of how social learning occurs and knowledge flows in CIs. Design/methodology/approach – The qualitative study of four cluster initiatives helped to identify various symptoms of social learning and knowledge flows in...
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Thanos Of Titan
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Cluster-based instance selection for machine classification
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An agent-based approach to ANN training
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A New Era Is Beginning in Central and Eastern Europe: Information and Communication Technology Services Exceed Manufacturing in the Global Production Chain
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A novel version of simulated annealing based on linguistic patterns for solving facility layout problems
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A fuzzy logic model for forecasting exchange rates
PublikacjaThis article is devoted to the issue of forecasting exchange rates. The objective of the conducted research is to develop a predictive model with the use of an innovative methodology - fuzzy logic theory - and to evaluate its effectiveness in times of prosperity and during the financial crisis. The model is based on sets of rules written by the author in the form of IF-THEN, where expert knowledge is stored. This model is the result...
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Optimization-Based Robustness Enhancement of Compact Microwave Component Designs with Response Feature Regression Surrogates
PublikacjaThe ability to evaluate the effects of fabrication tolerances and other types of uncertainties is a critical part of microwave design process. Improving the immunity of the device to parameter deviations is equally important, especially when the performance specifications are stringent and can barely be met even assuming a perfect manufacturing process. In the case of modern miniaturized microwave components of complex topologies,...
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Fast EM-Driven Parameter Tuning of Microwave Circuits with Sparse Sensitivity Updates via Principal Directions
PublikacjaNumerical optimization has become more important than ever in the design of microwave components and systems, primarily as a consequence of increasing performance demands and growing complexity of the circuits. As the parameter tuning is more and more often executed using full-wave electromagnetic (EM) models, the CPU cost of the overall process tends to be excessive even for local optimization. Some ways of alleviating these issues...
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Towards a Universal Model of Engineering Change Management
PublikacjaThe paper deals with the issue of engineering change management (ECM). ECM has received much less attention in the literature than general change management. Moreover, due to their specifics (complexity and multifaceted nature), hitherto developed ECM models are difficult to implement in companies. The paper aims to develop a simplified, universal, and hence easily applicable model of ECM. We based our assumptions on a case study...
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On Memory-Based Precise Calibration of Cost-Efficient NO2 Sensor Using Artificial Intelligence and Global Response Correction
PublikacjaNitrogen dioxide (NO2) is a prevalent air pollutant, particularly abundant in densely populated urban regions. Given its harmful impact on health and the environment, precise real-time monitoring of NO2 concentration is crucial, particularly for devising and executing risk mitigation strategies. However, achieving precise measurements of NO2 is challenging due to the need for expensive and cumbersome equipment. This has spurred...
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Efficient Calibration of Cost-Efficient Particulate Matter Sensors Using Machine Learning and Time-Series Alignment
PublikacjaAtmospheric particulate matter (PM) poses a significant threat to human health, infiltrating the lungs and brain and leading to severe issues such as heart and lung diseases, cancer, and premature death. The main sources of PM pollution are vehicular and industrial emissions, construction and agricultural activities, and natural phenomena such as wildfires. Research underscores the absence of a safe threshold for particulate exposure,...
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Low-Cost and Precise Automated Re-Design of Antenna Structures Using Interleaved Geometry Scaling and Gradient-Based Optimization
PublikacjaDesign of contemporary antennas is an intricate endeavor involving multiple stages, among others, tuning of geometry parameters. In particular, re-designing antennas to different operating frequencies, makes parametric optimization imperative to ensure the best achievable system performance. If the center frequency at the current design is distant from the target one, local tuning methods generally fail, whereas global algorithms...
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Ontology-based text convolution neural network (TextCNN) for prediction of construction accidents
PublikacjaThe construction industry suffers from workplace accidents, including injuries and fatalities, which represent a significant economic and social burden for employers, workers, and society as a whole.The existing research on construction accidents heavily relies on expert evaluations,which often suffer from issues such as low efficiency, insufficient intelligence, and subjectivity.However, expert opinions provided in construction...
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Dimensionality-Reduced Antenna Modeling with Stochastically Established Constrained Domain
PublikacjaOver the recent years, surrogate modeling methods have become increasingly widespread in the design of contemporary antenna systems. On the one hand, it is associated with a growing awareness of numerical optimization, instrumental in achieving high-performance structures. On the other hand, considerable computational expenses incurred by massive full-wave electromagnetic (EM) analyses, routinely employed as a major design tool,...
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Rapid Antenna Optimization with Restricted Sensitivity Updates by Automated Dominant Direction Identification
PublikacjaMeticulous tuning of geometry parameters turns pivotal in improving performance of antenna systems. It is more and more often realized using formal optimization methods, which is demonstrably the most efficient way of handling multiple design variables, objectives, and constraints. Although in some cases a need for launching global search arises, a typical design scenario only requires local optimization, especially when a decent...
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A new multi-process collaborative architecture for time series classification
PublikacjaTime series classification (TSC) is the problem of categorizing time series data by using machine learning techniques. Its applications vary from cybersecurity and health care to remote sensing and human activity recognition. In this paper, we propose a novel multi-process collaborative architecture for TSC. The propositioned method amalgamates multi-head convolutional neural networks and capsule mechanism. In addition to the discovery...
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On Decision-Making Strategies for Improved-Reliability Size Reduction of Microwave Passives: Intermittent Correction of Equality Constraints and Adaptive Handling of Inequality Constraints
PublikacjaDesign optimization of passive microwave components is an intricate process, especially if the primary objective is a reduction of the physical size of the structure. The latter has become an important design consideration for a growing number of modern applications (mobile communications, wearable/implantable devices, internet of things), where miniaturization is imperative due to a limited space allocated for the electronic circuitry....
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How can systems thinking help us in the COVID‐19 crisis?
PublikacjaThe COVID-19 pandemic outbreak remains one of the most influential events in the global economy over the recent years. While being primarily public health related, it has a tremendous impact on many other aspects, including business management. Many businesses were forced to introduce rapid changes to their business models in order to survive. The aim of this paper is to show the complexity and interrelations of changes triggered...
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Experience Based Decisional DNA (DDNA) to Support Sustainable Product Design
PublikacjaThis paper presents the idea of providing engineering design knowledge to designers working on sustainable product design and development process. The new product development process often requires significant amount of design knowledge which can be saved and recalled by designers during the design process. This knowledge is very important for successful sustainable product development as it can include material selection, product...
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Agnieszka Krawczyk-Kłos mgr inż.
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Economic Integration and Foreign Direct Investment: Review of Main Theoretical Concepts
PublikacjaThe objective of the article is to present key theoretical relationships between economic integration and FDI flows. The research method used is a comprehensive literature review. Most influential publications, including books, articles, working papers, etc. contributing to the subject were identified. The review consists of two essential parts: theory of FDI, and theoretical relationships between economic integration and FDI flows....
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ACM International Conference on Information and Knowledge Management
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Australasian Workshop on Health Data and Knowledge Management
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International Conference on Intelligent Systems and Knowledge Engineering
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International Conference on Knowledge Science, Engineering and Management
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International Conference on Software Engineering and Knowledge Engineering
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International Conference on Knowledge Discovery and Data Mining
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International Conference on Fuzzy Systems and Knowledge Discovery
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International Conference on the Principles of Knowledge Representation and Reasoning
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International Conference on Knowledge Engineering and Ontology Development
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KM Challenges in Small KIBS Companies: Multi-case Analysis in Two Countries
PublikacjaKnowledge Intensive Business Services (KIBS) – i.e. companies like e.g. computer services, consulting, engineering, business communication, and R&D support - are key players in the modern economies. They stimulate the innovativeness of businesses and societies. Their competitiveness is based on knowledge, which is their key production factor and also the kind of “goods” they sell. The large majority of KIBS companies have a small...
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Collaborative Editing of Ontologies Using Fluent Editor and Ontorion
PublikacjaIn this paper we present two tools that we are developing at Cognitum for managing large knowledge bases: Fluent Editor and the Ontorion Server. We have been able to build a collaborative knowledge management system using these two tools. We show how this system can be used for the concurrent modification of knowledge and how we can manage multiple modifications to the same knowledge.
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Building collective intelligence through experience: a survey on the use of the KREM model
PublikacjaThis article presents a survey on the use of KREM, a generic knowledge-based framework for building collective intelligence through experience. After a discussion on the disadvantages of the traditional architecture used to deploy intelligent systems, the KREM architecture (Knowledge, Rules, Experience, Meta-Knowledge) is presented. The novelty of the proposal comes from the inclusion of the capitalisation of experience and the...
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Robert Bajko mgr inż.
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Decisional DNA based framework for representing Virtual Engineering Objects
PublikacjaIn this paper, we propose a frame-work to represent the Virtual Engineering Objects (VEO) utilizing Set of Knowledge Experience Structure (SOEKS) and Decisional DNA. A VEO will enable the discovery of new knowledge in a manufacturing unit and the generation of new rules that drive reasoning. The proposed VEO framework will not only be knowledge based representation but it will also have its associated experience embedded within...
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Manufacturing collective intelligence by the means of Decisional DNA and virtual engineering objects, process and factory
PublikacjaEngineering collective intelligence is paramount in current industrial times. This research proposes and presents case studies for collective knowledge structures required in the industry field. Knowledge structures such as Set of Experience and Decisional DNA are extended into more advanced knowledge structures for manufacturing processes. These structures are called Virtual Engineering Object, Virtual Engineering Process and...
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Gravity-related research, T, EMSS, sem. 01 summer, 21/22, (PG_00054983)
Kursy OnlinePresentation of knowledge and research in the field of gravity phenomenon.
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Smart Innovation Engineering Using Set of Experience and Decisional DNA
PublikacjaKnowledge-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. Since the fourth industrial revolution is passing through the developing phase, implementation of Cyber-Physical Production Systems require more realistic approach. Knowledge Management and Knowledge Engineering plays an important role in manufacturing industries facing...