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Wyniki wyszukiwania dla: KNOWLEDGE-BASED DECISION MAKING
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Critical Success Factors for Knowledge Management in SMEs in the KIBS Sector
PublikacjaThe purpose of this paper is to examine knowledge management practices and critical success factors (CSFs) for their introduction in small and medium-sized enterprises (SMEs) in the knowledge-intensive business services (KIBS) sector. Methodology: The paper is based on the results of an exploratory qualitative survey involving owners and managers of small and medium-sized companies operating in the KIBS sector. In the survey, eight...
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Monitoring Parkinson's disease patients employing biometric sensors and rule-based data processing
PublikacjaArtykuł prezentuje automatyczny system wykrywania pogorszenia zdrowia pacjentów z chorobą Parkinsona opracowany w ramach projektu PERFORM.The paper presents how rule-based processing can be applied to automatically evaluate the motor state of Parkinson's Disease patients. Automatic monitoring of patients by using biometric sensors can provide assessment of the Parkinson's Disease symptoms. All data on PD patients' state are compared...
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Tomasz Maria Boiński dr inż.
OsobyZ uczelnią jestem związany już od 2000r kiedy to rozpocząłem studia na kierunku Informatyka wydziału Elektroniki, Telekomunikacji i Informatyki. Po ich ukończeniu z wyróżnieniem, w 2005 roku rozpocząłem studia doktoranckie. W trakcie studiów i bezpośrednio po ich zakończeniu zaangażowany byłem, we współpracy z firmą Hogart z Warszawy, we wdrażanie rozwiązań biznesowych w gdyńskiej firmie Elektronia S.A. (Infor FMS SunSystems) oraz...
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Effective assessment of biopolymer-based multifunctional sorbents for the remediation of environmentally hazardous contaminants from aqueous solutions
PublikacjaPersistent contaminants in wastewater effluent pose a significant threat to aquatic life and are one of the most significant environmental concerns of our time. Although there are a variety of traditional methods available in wastewater treatment, including adsorption, coagulation, flocculation, ion exchange, membrane filtration, co-precipitation and solvent extraction, none of these have been found to be significantly cost-effective...
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EVALUATION OF THE EFFICIENCY OF FLEXICURITY IMPLEMENTATION IN OECD COUNTRIES
PublikacjaFlexicurity is a policy of flexible and secure labour market. It has been the subject of many analyses, however, a coherent evaluation methodology is difficult to specify. The purpose of this paper is to propose a Data Envelopment Analysis based model for the evaluation of the efficiency of flexicurity implementation in OECD countries. The results will be used to create the ranking of countries, to determine changes in time, and...
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Trust, Tacit Knowledge Sharing, Project Performance and their Managerial Implications
PublikacjaTacit Knowledge Sharing is increasingly attracting the attention of scientists and managers intrigued by their potential application for creating innovative solutions. Project management as a set of methodologies and best practices need to be charged by knowledge. The research problem tackled in this article refers to a current managerial problem regarding tacit knowledge sharing execution in project based organizations. The objective...
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Computationally-Efficient Statistical Design and Yield Optimization of Resonator-Based Notch Filters Using Feature-Based Surrogates
PublikacjaModern microwave devices are designed to fulfill stringent requirements pertaining to electrical performance, which requires, among others, a meticulous tuning of their geometry parameters. When moving up in frequency, physical dimensions of passive microwave circuits become smaller, making the system performance increasingly susceptible to manufacturing tolerances. In particular, inherent inaccuracy of fabrication processes affect...
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Cognitum Ontorion: Knowledge Representation and Reasoning System
PublikacjaAt any point of human activity, knowledge and expertise are a key factors in understanding and solving any given problem. In present days, computer systems have the ability to support their users in an efficient and reliable way in gathering and processing knowledge. In this chapter we show how to use Cognitum Ontorion system in this areas. In first section, we identify emerging issues focused on how to represent and inference...
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AffecTube — Chrome extension for YouTube video affective annotations
PublikacjaThe shortage of emotion-annotated video datasets suitable for training and validating machine learning models for facial expression-based emotion recognition stems primarily from the significant effort and cost required for manual annotation. In this paper, we present AffecTube as a comprehensive solution that leverages crowdsourcing to annotate videos directly on the YouTube platform, resulting in ready-to-use emotion-annotated...
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Test Design Patterns for Embedded Systems,
PublikacjaTest suites for embedded systems are typically created from scratch using dif- ferent, often inadequate methods. In consequence, industry branches dealing with software-intensive embedded systems have to cope with quality problems, even though test processes are particularly time-consuming and costly. Based on an evolving model-based testing methodology we introduce test design patterns for simplifying and accelerating...
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Knowledge Exchange Between KIBS Firms and Their Clients: Case Study Analysis
PublikacjaPurpose: This paper aims to analyse knowledge exchange between KIBS firms and their clients, and their potential determinants (e.g. client’s education, type of the service offered, channel of the knowledge exchange, and willingness of the customer to accept the knowledge). The paper is based on a literature analysis and a case study research, examining 5 KIBS firms located in the Pomeranian region in Poland. Methodology: On the...
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Automatic assessment of the motor state of the Parkinson's disease patient --a case study
PublikacjaThis paper presents a novel methodology in which the Unified Parkinson's Disease Rating Scale (UPDRS) data processed with a rule-based decision algorithm is used to predict the state of the Parkinson's Disease patients. The research was carried out to investigate whether the advancement of the Parkinson's Disease can be automatically assessed. For this purpose, past and current UPDRS data from 47 subjects were examined. The results...
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Tacit Knowledge Sharing and Personal Branding. How to Derive Innovation From Project Teams?
PublikacjaInnovation, relationships, cooperation, and knowledge are key factors which determine a competitive advantage in the networked economy. A network serves as a contemporary form of market process coordination. Network economy, according to the idea of prosumerism, is founded on collaboration of individual creators based on a network of values instead of hierarchical dependencies. Another feature of a network is that it imposes symmetry...
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Vehicle classification based on soft computing algorithms
PublikacjaExperiments and results regarding vehicle type classification are presented. Three classes of vehicles are recognized: sedans, vans and trucks. The system uses a non-calibrated traffic camera, therefore no direct vehicle dimensions are used. Various vehicle descriptors are tested, including those based on vehicle mask only and those based on vehicle images. The latter ones employ Speeded Up Robust Features (SURF) and gradient images...
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Content-Based Approach to Automatic Recommendation of Music
PublikacjaThis paper presents a content-based approach to music recommendation. For this purpose, a database which contains more than 50000 music excerpts acquired from public repositories was built. Datasets contain tracks of distinct performers within several music genres. All music pieces were converted to mp3 format and then parameterized based on MPEG-7, mel-cepstral and time-related dedicated parameters. All feature vectors are stored...
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Experience-Oriented Intelligence for Internet of Things
PublikacjaThe Internet of Things (IoT) has gained significant attention from industry as well as academia during the past decade. The main reason behind this interest is the capabilities of the IoT for seamlessly integrating classical networks and networked objects, and hence allows people to create an intelligent environment based on this powerful integration. However, how to extract useful information from data produced by IoT and facilitate...
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Współczesny Word of Mouth – dylematy pojęciowe
PublikacjaPrzekaz ustny (Word of Mouth) jest obecnie jednym z najważniejszych czynników, które mają wpływ na klientów podczas podejmowania decyzji o zakupie, a także na zarządzanie ich zachowaniami w procesie dokonywania zakupów. Szczególne znaczenie ma on w przypadku dóbr niematerialnych, o wysokim ryzyku zakupu, jakim są usługi. Rosnąca liczba jego nowych form i coraz bardziej skomplikowana natura, związana głównie z umieszczaniem opinii...
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Practical issues for the implementation of survivability and recovery techniques in optical networks
PublikacjaFailures in optical networks are inevitable. They may occur during work being done for the maintenance of other infrastructures, or on a larger scale as the result of an attack or large-scale disaster. As a result, service availability, an important aspect of Quality of Service (QoS), is often degraded. Appropriate fault recovery techniques are thus crucial to meet the requirements set by the Service Level Agreements (SLAs) between...
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Visual content representation and retrieval for Cognitive Cyber Physical Systems
PublikacjaCognitive Cyber Physical Systems have gained significant attention from academia and industry during the past few decade. 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...
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Organisational Competence vs Transferability of Knowledge in Cluster Organisations and Technology Parks
PublikacjaPurpose. The main paper aims to evaluate the impact of organisational competence on knowledge and information flows within cluster organisations and technology parks, with particular emphasis on innovative content knowledge. The paper addresses the research question: “What set of competencies of cooperating companies allows access to information and knowledge in cluster and parks structures?" Methodology. The authors report their...
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Detecting type of hearing loss with different AI classification methods: a performance review
PublikacjaHearing is one of the most crucial senses for all humans. It allows people to hear and connect with the environment, the people they can meet and the knowledge they need to live their lives to the fullest. Hearing loss can have a detrimental impact on a person's quality of life in a variety of ways, ranging from fewer educational and job opportunities due to impaired communication to social withdrawal in severe situations. Early...
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Big Data i 5V – nowe wyzwania w świecie danych (Big Data and 5V – New Challenges in the World of Data)
PublikacjaRodzaje danych, składające się na zbiory typu Big Data, to m.in. dane generowane przez użytkowników portali internetowych, dane opisujące transakcje dokonywane poprzez Internet, dane naukowe (biologiczne, astronomiczne, pomiary fizyczne itp.), dane generowane przez roboty w wyniku automatycznego przeszukiwania przez nie Internetu (Web mining, Web crawling), dane grafowe obrazujące powiązania pomiędzy stronami WWW itd. Zazwyczaj,...
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Developing Prognostic Models of Organization Evolution
PublikacjaThe 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...
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Automatic Rhythm Retrieval from Musical Files
PublikacjaThis paper presents a comparison of the effectiveness of two computational intelligence approaches applied to the task of retrieving rhythmic structure from musical files. The method proposed by the authors of this paper generates rhythmic levels first, and then uses these levels to compose rhythmic hypotheses. Three phases: creating periods, creating simplified hypotheses and creating full hypotheses are examined within this study....
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Leadership, culture, intellectual capital and knowledge processes for organizational innovativeness across industries: the case of Poland
PublikacjaPurpose – This study aims to present the overview of intellectual capital creation micro-mechanisms concerning formal and informal knowledge processes. The organizational culture, transformational leadership and innovativeness are also included in the investigation as ascendants and consequences of the focal relation of intellectual capital and knowledge processes. Design/methodology/approach – Based on a sample of 1,418 Polish...
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Human capital quality indicators for measuring regional knowledge economy advances
PublikacjaBuilding Knowledge Economies (KE) is a long-term process. However, civilizational and technological changes together with EU's Lisbon Strategy help in creating solutions that may speed up economical growth of countries and their regions. This seems to be a very important issue, as during last two centuries history shown, that wisdom and human invention and innovation are the most important factor driving economical growth. In this...
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Measurement of the Development of a Learning IT Organization Supported by a Model of Knowledge Acquisition and Processing
PublikacjaThe paper presents a model of knowledge acquisition and processing for the development of learning organizations. The theory of a learning organization provides neither metrics nor tools to measure its development The authors' studies in this field are based on their experience gathered after projects realized in real IT organizations. The authors have described the construction of the model and the methods of its verification...
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A novel architecture for e-learning knowledge assessment systems
PublikacjaAbstract. In this paper we propose a novel e-learning system, dedicated strictly to knowledge assessment tasks. In its functioning it utilizes web-based technologies, but its design differs radically from currently popular e-learning solutions which rely mostly on thin-client architecture. Our research proved that such architecture,while well suited for didactic content distribution systems is ill-suited for knowledge assessment...
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A novel architecture for e-learning knowledge assessment systems
PublikacjaIn this paper we propose a novel e-learning system, dedicated strictly to knowledge assessment tasks. In its functioning it utilizes web-based technologies, but its design differs radically from currently popular e-learning solutions which rely mostly on thin-client architecture. Our research proved that such architecture, while well suited for didactic content distribution systems is ill-suited for knowledge assessment products....
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A novel architecture for e-learning knowledge assessment systems
PublikacjaIn this paper we propose a novel e-learning system, dedicated strictly to knowledge assessment tasks. In its functioning it utilizes web-based technologies, but its design differs radically from currently popular e-learning solutions which rely mostly on thin-client architecture. Our research proved that such architecture, while well suited for didactic content distribution systems is ill-suited for knowledge assessment products....
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A Highly Scalable, Modular Architecture for Computer Aided Assessment e-Learning Systems
PublikacjaIn this chapter, the authors propose a novel e-learning system, dedicated strictly to knowledge assessment tasks. In its functioning it utilizes web-based technologies, but its design differs radically from currently popular e-learning solutions which rely mostly on thin-client architecture. The authors' research proved that such architecture, while well suited for didactic content distribution systems is ill-suited for knowledge...
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Automatic Singing Voice Recognition EmployingNeural Networks and Rough Sets
PublikacjaCelem badań jest automatyczne rozpoznawanie głosów śpiewaczych w kategorii rodzaju i jakości technicznej śpiewu. W artykule opisano stworzoną bazę danych głosów, która zawiera próbki głosu śpiewaków profesjonalnych i amatorskich. W dalszej części opisano parametry zdefiniowane w oparciu o zjawiska biomechaniczne w narządzie głosu podczas śpiewania. W oparciu o stworzone macierze parametrów wytrenowano i porównano automatyczne klasyfikatory...
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The effect of interview location on the perception of Ecosystem Services provided by trees. A Polish case study.
Dane BadawczeSeveral survey research methods are available to study attitudes towards the environment, including: CAWI (computer-assisted Internet interview), CATI (computer-assisted telephone interview), CAPI (computer-assisted personal interview), and PAPI (paper-pencil interview). An increasingly popular CAWI approach is the geo-questionnaire – an internet survey...
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Accident susceptibility index for a passenger ship-a framework and case study
PublikacjaThe continuous monitoring and assessment of operational vulnerability and accident susceptibility of passenger ships is crucial from the perspective of ship and passenger safety. Despite the existing solutions for vulnerability monitoring, stemming mainly from watertight door operations, a comprehensive framework for accident susceptibility assessment and monitoring is missing in the literature. Therefore, this paper offers a...
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Technological Capability and Absorptive Capacity Dynamics through Cluster Organizations, In: Sekliuckienė J., Susnienė R. (Eds). AIB-CEE 2019. Book of abstracts (pp. 127), 6th Academy of International Business Central Eastern European (AIB-CEE) chapter annual conference: „International business in the dynamic environment: changes in digitalization, innovation and entrepreneurship”, Kaunas University of Technology, Lithuania, September 25-27 (eISBN 9786090216378)
PublikacjaThe purpose of the paper is to portrait how members of cluster organizations (COs) perceive the role of clusters in enabling them accumulation of technological capability significant for their innovation. The authors report the findings from the qualitative study based on analysis of four COs from the metal and the highly internationalized ICT industry that concerns the role of knowledge and other cluster benefits in technological...
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A machine learning approach to classifying New York Heart Association (NYHA) heart failure
PublikacjaAccording to the European Society of Cardiology, globally the number of patients with heart failure nearly doubled from 33.5 million in 1990 to 64.3 million in 2017, and is further projected to increase dramatically in this decade, still remaining a leading cause of morbidity and mortality. One of the most frequently applied heart failure classification systems that physicians use is the New York Heart Association (NYHA) Functional...
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Zarządzanie wiedzą w małych przedsiębiorstwach oferujących wiedzochłonne usługi biznesowe
PublikacjaCelem artykułu jest przedstawienie praktyk zarządzania wiedzą oraz czynników wpływających na sukces, bądź porażkę w ich wdrażaniu na podstawie badania jakościowego przeprowadzonego w trzech firmach działających na terenie województwa pomorskiego. Firmy te należą do sektora małych i średnich przedsiębiorstw oraz oferują wiedzochłonne usługi biznesowe (knowledge-intensive business services – KIBS). W artykule podjęto próbę odpowiedzi...
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A Concept of Using Knowledge Models to Secure Intellectual Capital in Enterprise
PublikacjaWithout a doubt, knowledge has become the most important resource for all companies in the world. Knowledge extended of our own observations and practice is being called experience. With the increase of knowledge and gained experience, the individual becomes more and more valuable employee in terms of business. The above mentioned knowledge can be gained only by self-improvement, which requires time and other necessary elements...
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Daylighting Education in Practice Verification of a new goal within a European knowledge investigation
PublikacjaTwo independent surveys were conducted in 2017 and in 2018 among architecture students across Europe to investigate their knowledge on daylighting and the impact of that knowledge on the visual perception of daylit spaces. A total of 600 responders were involved. This paper presents findings from the second survey, which was distributed in six European countries. Based on the findings from the first survey, a new goal was set for...
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Knowledge Sharing in the COVID-19 Era of Remote Teaching: What Can Academia Learn from Business?
PublikacjaPurpose: The aim of this paper is to investigate how universities may benefit from experiences of businesses that were also forced to use remote forms of business operations. Methodology: The paper uses in-depth interviews to explore the possibilities of knowledge sharing improvements at the university-level teaching, based on the experiences elicited in the business sector. The theoretical sampling was used to find informants...
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Smart Services supporting Drivers in Effective Cars Parking
PublikacjaThe paper shows how to design and implement intelligent, service oriented systems for management of free places in distributed car parks. The idea of SOA technology is widely used. It is assumed that a state of every car park is automatically determined by a special electronic infrastructure including IoT solutions. The information received from such an infrastructure is sent to the main management system, which processes it and,...
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Neural Architecture Search for Skin Lesion Classification
PublikacjaDeep 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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Application of Majority Voting Protocols to Supporting Trading Decisions
PublikacjaA broad spectrum of analysis and prediction indicators and methods exists to support trading decisions, but no hard knowledge exist to tell in advance which of them will fit best in a given timeframe. To support trading decisions, a multi-agent self-organizing system has been proposed. The system is based on history based dynamic weight voting and selects the right indicators based on their past performance. The formal analysis...
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APPLICATION OF MAJORITY VOTING PROTOCOLS TO SUPPORTING TRADING DECISIONS
PublikacjaA broad spectrum of analysis and prediction indicators and methods exists to support trading decisions, but no hard knowledge exist to tell in advance which of them will fit best in a given timeframe. To support trading decisions, a multi-agent self-organizing system has been proposed. The system is based on history based dynamic weight voting and selects the right indicators based on their past performance. The formal analysis...
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Text Mining Algorithms for Extracting Brand Knowledge; The fashion Industry Case
PublikacjaBrand 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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Evaluation of Six Degrees of Freedom 3D Audio Orchestra Recording and Playback using multi-point Ambisonic interpolation
PublikacjaThis paper describes a strategy for recording sound and enabling six-degrees-of-freedom playback, making use of multiple simultaneous and synchronized Higher Order Ambisonics (HOA) recordings. Such a strategy enables users to navigate in a simulated 3D space and listen to the six-degrees-of-freedom recordings from different perspectives. For the evaluation of the proposed approach, an Unreal Engine-based navigable 3D audiovisual...
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Reliable Document-Centric Processing in Loosely Coupled Email-Based Systems
PublikacjaEmail is a simple way to exchange digital documents of any kind. The Mobile INteractive Document architecture (MIND) enables self-coordination and self-steering of document agent systems based on commonly available email services. In this paper, a mechanism for providing integrity and reliability of such an email based agent system is proposed to cope with message soft or hard bounces, user interrupts, and other unexpected events....
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Towards the 4th industrial revolution: networks, virtuality, experience based collective computational intelligence, and deep learning
PublikacjaQuo vadis, Intelligent Enterprise? Where are you going? The authors of this paper aim at providing some answers to this fascinating question addressing emerging challenges related to the concept of semantically enhanced knowledge-based cyber-physical systems – the fourth industrial revolution named Industry 4.0.
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Światło dzienne w projektowaniu? Rezultaty badań ankietowych i ćwiczeń analityczno-projektowych wśród studentów architektury i urbanistyki z tematyki oświetlenia dziennego
PublikacjaArtykuł przedstawia wyniki badań ankietowych i ćwiczeń analitycznych dotyczących oceny oświetlenia dziennego (percepcja, wiedza, preferencje) przeprowadzonych wśród 140 studentów architektury. Wyniki mogą sugerować, że percepcja i opis oświetlenia dziennego opierał się na intuicji respondentów. Analiza udzielonych odpowiedzi ilustruje, że na umiejętność krytycznej interpretacji zaobserwowanych warunków oświetlenia i projektowego...
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Processes of enhancing the intelligence of Learning Organizations on the basis of Competence Centers
PublikacjaThe 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...