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Search results for: USER MODELING

Search results for: USER MODELING

  • USER MODELING AND USER-ADAPTED INTERACTION

    Journals

    ISSN: 0924-1868 , eISSN: 1573-1391

  • Design-Oriented Constrained Modeling of Antenna Structures

    Publication

    - Year 2018

    Fast surrogate models are crucially important to reduce the cost of design process of antenna structures. Due to curse of dimensionality, standard (data-driven) modeling methods exhibit serious limitations concerning the number of independent geometry parameters that can be handled but also (and even more importantly) their parameter ranges. In this work, a design-oriented modeling framework is proposed in which the surrogate is...

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  • User-generated images and its impact on consumer-based brand equity and on purchase intention

    Publication

    - Logistyka - Year 2015

    Researchers and brand managers have limited knowledge of the effects that different types of user-generated content (UGC) have on consumers’ perception of brands and behavior. In this study we investigated 301 authors of a specific category of UGC, i.e., user-generated images (UGI) on a social networking site to confirm the relationships of four drivers reported in literature (co-creation, empowerment, community, and self-concept)...

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  • Semantic modeling of contextual augmented reality environments

    Publication
    • D. Rumiński

    - Year 2018

    Despite significant progress in the field of augmented reality (AR), regarding both hardware and software, there is still a lack of universal models and methods that would enable building ubiquitous AR systems that could be used anywhere and anytime, covering different application areas. This dissertation describes a new approach to building AR systems, called the Contextual Augmented Reality Environment (CARE). The CARE approach...

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  • Monte-Carlo Modeling of Optical Sensors for Postoperative Free Flap Monitoring

    Publication

    - Year 2024

    This work aims to develop a numerical tissue model and implement software to simulate photon propagation using the Monte Carlo method to determine design guidelines for a physical measurement system. C++ was used for the simulation program, and Python as a programming environment to create an interface that allows the user to customize individual simulation elements, allowing for increased accuracy and flexibility when simulating...

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  • Monte-Carlo Modeling of Optical Sensors for Postoperative Free Flap Monitoring

    Publication

    This work aims to develop a numerical tissue model and implement software to simulate photon propagation using the Monte Carlo method to determine design guidelines for a physical measurement system. C++ was used for the simulation program, and Python as a programming environment to create an interface that allows the user to customize individual simulation elements, allowing for increased accuracy and flexibility when simulating...

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  • Modeling of luminance distribution in CAVE-type virtual reality systems

    Publication

    At present, one of the most advanced virtual reality systems are CAVE-type (Cave Automatic Virtual Environment) installations. Such systems are usually consisted of four, five or six projection screens and in case of six screens arranged in form of a cube. Providing the user with a high level of immersion feeling in such systems is largely dependent of optical properties of the system. The modeling of physical phenomena plays nowadays...

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  • A Model-Driven Solution for Development of Multimedia Stream Processing Applications

    Publication

    This paper presents results of action research related to model-driven solutions in the area of multimedia stream processing. The practical problem to be solved was the need to support application developers who make their multimedia stream processing applications in a supercomputer environment. The solution consists of a domain-specific visual language for composing complex services from simple services called Multimedia Stream...

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  • Cost-Efficient Surrogate Modeling of High-Frequency Structures Using Nested Kriging with Automated Adjustment of Model Domain Lateral Dimensions

    Surrogate models are becoming popular tools of choice in mitigating issues related to the excessive cost of electromagnetic (EM)-driven design of high-frequency structures. Among available techniques, approximation modeling is by far the most popular due to its versatility. In particular, the surrogates are exclusively based on the sampled simulation data with no need to involve engineering insight or problem-specific knowledge....

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  • The effect of social media communication on consumer perceptions of brands

    Researchers and brand managers have limited understanding of the effects social media communication has on how consumers perceive brands. We investigated 504 Facebook users in order to observe the impact of firm-created and user-generated (UG) social media communication on brand equity (BE), brand attitude (BA) and purchase intention (PI) by using a standardized online survey throughout Poland. To test the conceptual model, we...

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  • Effects of social media communication on brand equity and brand purchase intention

    Publication

    - Year 2013

    The author studied the effect of two different social media communication on brand equity and brand purchase intention. A total of 504 data sets were generated through a standardized online-survey and analysed with structural equation modeling. The results of the empirical study showed that both firm-created and user-generated social media communication influenced brand equity, consequently impacting brand purchase intention. This...

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  • Interpretation and modeling of emotions in the management of autonomous robots using a control paradigm based on a scheduling variable

    The paper presents a technical introduction to psychological theories of emotions. It highlights a usable ideaimplemented in a number of recently developed computational systems of emotions, and the hypothesis thatemotion can play the role of a scheduling variable in controlling autonomous robots. In the main part ofthis study, we outline our own computational system of emotion – xEmotion – designed as a key structuralelement in...

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  • Performance of Noise Map Service Working in Cloud Computing Environment

    In the paper a noise map service designated for the user interested in environmental noise subject is presented. It is based on cloud computing. Noise prediction algorithm and source model, developed for creating acoustic maps, are working in cloud computing environment. In the study issues related to noise modeling of sound propagation in urban spaces are discussed with a special focus on road noise. Examples of results obtained...

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  • The impact of brand communication on brand equity through Facebook

    Purpose The purpose of this study is to fill the gap in the discussion of the ways in which firm-created and user-generated social media brand communication impacts consumer-based brand equity metrics through Facebook. Design/methodology/approach We evaluated 302 data sets that were generated through a standardized online-survey to investigate the impact of firm-created and user-generated social media brand communication on brand...

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  • Point cloud unification with optimization algorithm

    Terrestrial laser scanning is a technology that enables to obtain three-dimensional data – an accurate representation of reality. During scanning not only desired objects are measured, but also a lot of additional elements. Therefore, unnecessary data is being removed, what has an impact on efficiency of point cloud processing. It can happen while single point clouds are displayed – user decides what he wants...

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  • Mathematical modeling of hydrogen production performance in thermocatalytic reactor based on the intermetallic phase of Ni3Al

    Publication

    - Archives of Thermodynamics - Year 2019

    The main goal of the following work is to adjust mathematical modelling for mass transfer, to specific conditions resulting from presence of chemical surface reactions in the flow of the mixture consisting of helium and methanol. The thermocatalytic devices used for decomposition of organic compounds incorporate microchannels coupled at the ends and heated to 500 oC at the walls regions. The results of the experiment were compared...

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  • RNDM 2016 Workshop and 2nd Meeting of COST CA15127-RECODIS: Highlights from the Resilience Week in Halmstad, Sweden

    Publication
    • M. Jonsson
    • J. Rak
    • D. Papadimitriou
    • A. Somani

    - IEEE COMMUNICATIONS MAGAZINE - Year 2017

    Leading network resilience researchers took part in the Resilience Week on Sept. 12-15, 2016 at Halmstad University, SE by Prof. Magnus Jonsson from the Centre for Research on Embedded Systems (CERES), Halmstad University, SE, and Prof. Jacek Rak from Gdansk University of Technology, PL. It included two major events: - The 2nd Meeting of COST CA15127–RECODIS Action (Resilient Communication Services Protecting End-user Applications...

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  • Kamil Brodnicki dr inż.

    Kamil Brodnicki is an assistant at the Department of Applied Informatics in Management at the Faculty of Economics and Management at the Gdańsk University of Technology. From 2017, he is the head of the Customer Experience laboratory. Since 2011, he has been working in one of the Tri-City IT companies as an IT Systems Analyst, implementing projects in the financial sector. His research interests are focused on the following areas:...

  • 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...

  • Application of the Optimum Dataset Method in Archeological Studies on Barrows

    Publication

    - Year 2018

    Light Detection and Ranging (LiDAR) became one of the technologies used in archaeological research. It allows for relatively easy detection of archaeological sites that have their own field form, e.g.: barrows, fortresses, tracts, ancient fields [1]. As a result of the scanning, the so-called point cloud is obtained, often consisting of millions of points. Such large measurement datasets are very time-consuming and labor-intensive...

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  • Waveguide model of the hearing aid earmold system

    Publication

    - Year 2006

    Background The earmold system of the Behind-The-Ear hearing aid is an acoustic system that modifies the spectrum of the propagated sound waves. Improper selection of the earmold system may result in deterioration of sound quality and speech intelligibility. Computer modeling methods may be useful in the process of hearing aid fitting, allowing physician to examine various earmold system configurations and choose the optimum one...

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  • Waveguide model of the hearing aid earmold system

    Publication

    Background The earmold system of the Behind-The-Ear hearing aid is an acoustic system that modifies the spectrum of the propagated sound waves. Improper selection of the earmold system may result in deterioration of sound quality and speech intelligibility. Computer modeling methods may be useful in the process of hearing aid fitting, allowing physician to examine various earmold system configurations and choose the optimum one...

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  • Experimental investigation and process parameter optimization of sheet metal bending by line heating method

    Publication

    - Year 2022

     The present study is concerned with the experimental investigation of sheet metal deforming by line heating method that incorporates the combined effect of traverse speed of the torch, thickness of the sheet metal, and the number of passes of the torch. For the numerical analysis of metal bending by line heating, the 

  • Impact of Usability Website Attributes on Users’ Trust, Satisfaction and Loyalty

    This paper presents the results of an experimental study aimed at identifying possible relationships among website usability characteristics, consumer satisfaction, trust and loyalty. These factors regard not only customer satisfaction in a transactional sense, but in the long term they may affect e-customer behavior, opinions, recommendations and attitudes toward using on-line services in general. The study was performed with...

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  • Three-dimensional modeling and automatic analysis of the human nasal cavity and paranasal sinuses using the computational fluid dynamics method

    Publication

    - EUROPEAN ARCHIVES OF OTO-RHINO-LARYNGOLOGY - Year 2021

    Purpose The goal of this study was to develop a complete workflow allowing for conducting computational fluid dynam- ics (CFD) simulation of airflow through the upper airways based on computed tomography (CT) and cone-beam computed tomography (CBCT) studies of individual adult patients. Methods This study is based on CT images of 16 patients. Image processing and model generation of the human nasal cavity and paranasal sinuses...

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  • Impact of information systems (IS) infusion on Open Government Data (OGD) adoption

    Publication
    • R. Matheus
    • C. H. Alexopoulos
    • N. Rizun
    • L. Euripides
    • S. Saxena

    - Digital Policy Regulation and Governance - Year 2024

    Purpose – This study aims to underline the possible influence of the moderator, information systems (IS) infusion, on Open Government Data (OGD) adoption and usage. Design/methodology/approach – Using the partial least squares-structural equation modeling methodological approach, the adapted unified theory of acceptance and use of technology (UTAUT) model has been used for understanding the role of themoderating variable, namely,...

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  • Analiza Niezawodności Człowieka w Ramach Funkcji związanych z Bezpieczeństwem w Przykładowej Instalacji

    Publication

    W analizie bezpieczeństwa funkcjonalnego systemów sterowania i zabezpieczeń należy określić wymagany poziom nienaruszalności bezpieczeństwa SIL w procesie analizy ryzyka, a następnie zweryfikować ten poziom stosując odpowiednie metody modelowania probabilistycznego. Działania człowieka mogą mieć istotny wpływ na realizację funkcji bezpieczeństwa. Wpływ ten ocenia się na podstawie wyników analizy niezawodności człowieka HRA. W niniejszym...

  • Ireneusz Kreja dr hab. inż.

    Graduated from the mathematical class at the Nicolaus Copernicus High School in Gdańsk (1974). Master of Sciences in Civil Engineering after studies at Gdansk University of Technology (GUT), Poland (1974-1979). Since 1979 became an employee of the GUT. In 1989 earned a Ph.D. degree in Civil Engineering (with grade "Summa cum Laude") from the GUT. In 2008 obtained a D. Sc. (Habilitation) degree in Civil Engineering (with grade...

  • A CONTEXT IN RECOMMENDER SYSTEMS

    Publication

    - Year 2016

    Recommender systems aim to propose potentially interesting items to a user based on his preferences or previous interaction with the system. In the last decade, researcher found out that known recommendation techniques are not sufficient to predict user decisions. It has been noticed that user preferences strongly depend on the context in which he currently is. This raises new challenges for the researchers such as how to obtain...

  • User Trust Levels and Their Impact on System Security and Usability

    A multilateral trust between a user and a system is considered. First of all we concentrate on user trust levels associated with the context-oriented CoRBAC model. Consequently, there were computed user profiles on the basis of its implementation in the information processing system “My GUT”. Furthermore, analysis of these profiles and the impact of user trust levels on system security and usability have been discussed.

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  • Multiuser Stereoscopic Projection Techniques for CAVE-Type Virtual Reality Systems

    Despite the development of increasingly popular head mounted displays, CAVE-type systems may still be considered one of the most immersive virtual reality systems with many advantages. However, a serious limitation of most CAVE-type systems is the generation of a three-dimensional (3-D) image from the perspective of only one person. This problem is significant because in some applications, the participants must cooperate with each...

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  • Context-aware User Modelling and Generation of Recommendations in Recommender Systems

    Publication

    - Year 2018

    Recommender systems are software tools and techniques which aim at suggesting new items that may be of interest to a user. This dissertation is focused on four problems in recommender systems domain. The first one is context-awareness, i.e. how to obtain relevant contextual information, how to model user preferences in a context and use them to make predictions. The second one is multi-domain recommendation, which aim at suggesting...

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  • Language of Benefits as a Novel Tool for Improving Website Personalization

    A properly designed website allows the user to search for information faster, and more accurately. The information content of the website should be also adapted to the needs of the user. The purpose of this article is to present a novel Language of Benefits (LoB) approach to facilitate the use of websites for individual user groups. The LoB approach is an approach addressed to IT Analysts, to facilitate the process of web design,...

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  • Exploring the Usability and User Experience of Social Media Apps through a Text Mining Approach

    This study aims to evaluate the applicability of a text mining approach for extracting UUX-related issues from a dataset of user comments and not to evaluate the Instagram (IG) app. This study analyses textual data mined from reviews in English written by IG mobile application users. The article’s authors used text mining (based on the LDA algorithm) to identify the main UUX-related topics. Next, they mapped the identified topics...

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  • Improving web user experience with caching user interface

    Publication

    - Year 2013

    Often, Web technologies are used to operate or to configure network-enabled equipment, to configure and administer modular applications, or as teaching environments. The comfort of human work requires a similar response time in these applications as in the Internet. To improve response time, various forms of caching at different levels are employed. To improve the user experience in regard to response time when performing specific...

  • Performance Analysis of Interaction between Smart Glasses and Smart Objects Using Image-Based Object Identification

    Publication

    We propose the use of smart glasses to collaborate with smart objects in the Internet of Things environment. Particularly we are focusing on new interaction methods and the analysis of acceptable reaction times in the process of object recognition using smart glasses. We evaluated the proposed method using user studies and experiments with three different smart glasses: Google Glass, Epson Moverio, and the developed eGlasses platform....

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  • Usability and relational factors in user-perceived quality of online services

    The purpose of this paper is to identify the key determinants of con-sumer-perceived usability of online service websites and their impact on e-loyalty potential, expressed by customer’s willingness to return and to recommend the website to others. In this experimental usability study fifteen video-recorded users performed specific tasks in financial, travel and health online service websites. After completing the tasks users filled...

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  • Improving web user experience with caching user interface

    Publication

    In human-computer interaction, response time is assumed generally not to exceed significantly 1-2 seconds. While the natural competition in the Internet public Web serving ensures adhering widely to such limits, some Web environments are less competitive and offer much worse user experience in terms of response time. This paper describes a solution to significantly improve user experience in terms of response time with only modification...

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  • Wiktoria Wojnicz dr hab. inż.

    DSc in Mechanics (in the field of Biomechanics)  - Lodz Univeristy of Technology, 2019 PhD in Mechanics (in the field of Biomechanics)  - Lodz Univeristy of Technology, 2009 (with distinction)   List of papers (2009 - ) Wojnicz W., Wittbrodt E., Analysis of muscles' behaviour. Part I. The computational model of muscle. Acta of Bioengineering and Biomechanics, Vol. 11, No.4, 2009, p. 15-21 Wojnicz W., Wittbrodt E., Analysis of...

  • Integrating web site services into application through user interface

    The issue of integrating applications which are only accessible through visual user interface is not thoroughly researched. Integration of web applications running remotely and controlled by separate organizations becomes even more complicated, as their user interface can display differently in different browsers or change without prior notification as a result of application maintenance. While possible, it is generally not common...

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  • Improving Re-rankCCP with Rules Quality Measures

    Publication

    - Year 2022

    Recommender Systems are software tools and techniques which aim at suggesting new items that may possibly be of interest to a user. Context-Aware Recommender Systems exploit contextual information to provide more adequate recommendations. In this paper we described a modification of an existing contextual post-filtering algorithm which uses rules-like user representation called Contextual Conditional Preferences. We extended the...

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  • An Ontology-based Contextual Pre-filtering Technique for Recommender Systems

    Publication

    - Year 2016

    Context-aware Recommender Systems aim to provide users with the most adequate recommendations for their current situation. However, an exact context obtained from a user could be too specific and may not have enough data for accurate rating prediction. This is known as the data sparsity problem. Moreover, often user preference representation depends on the domain or the specific recommendation approach used. Therefore, a big effort...

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  • Clustering Context Items into User Trust Levels

    An innovative trust-based security model for Internet systems is proposed. The TCoRBAC model operates on user profiles built on the history of user with system interaction in conjunction with multi-dimensional context information. There is proposed a method of transforming the high number of possible context value variants into several user trust levels. The transformation implements Hierarchical Agglomerative Clustering strategy....

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  • Using contextual conditional preferences for recommendation taska: a case study in the movie domain

    Publication

    - Studia Informatica Pomerania - Year 2016

    Recommendation engines aim to propose users items they are interested in by looking at the user interaction with a system. However, individual interests may be drastically influenced by the context in which decisions are taken. We present an attempt to model user interests via a set of contextual conditional preferences. We show that usage of proposed preferences gives reasonable values of the accuracy and the precision even when...

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  • Online Sound Restoration for Digital Library Applications

    Publication

    A system for sound restoration was conceived and engineered having the following features: no special sound restoration software is needed to perform audio restoration by the user, the process of restoration employs automatic reduction of noise, wow and impulse distortions performed in the online mode, no skills in digital signal processing from the user are needed. The principles of the created system and its features as well...

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  • Practical Approach to IP Scheduled Throughput Measurements in Dual Connectivity Systems

    Publication

    IP scheduled throughput defined according to 3GPP TS 36.314 reflects user throughput regardless of traffic characteristics, and therefore has become one of the most important indicators for monitoring Quality of Service (QoS) of the end user in Evolved Universal Terrestrial Radio Access Network (E-UTRAN). However, networks built on a distributed architecture make the above definition impossible to be applied directly due to the...

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  • SMART SHOP SERVICES FOR BUILDING CUSTOMER-ORIENTED SCENARIOS

    Publication

    The shops of today mostly support the customer by offering him or her products based on basic relationships between products viewed or ordered by users with similar tastes. This common approach may fail in many cases especially when the user does not have sufficient knowledge about the market, or when he or she wants to build a set of products in more than one shop. New categories of smart shop services are proposed in order to...

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  • Image projection in Immersive 3D Visualization Laboratory

    In recent years, many centers in the world attempted to build a virtual reality laboratory. The main idea of such laboratory is to allow the user to “immerse” into and move in a computer-generated virtual world. In the paper, the underlying principles of the system of virtual reality (VR) are described. The selected implementations constructed by the research centers of the world are also presented. The cave automatic virtual environment...

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  • Virtual immersive environments

    Publication

    - Year 2022

    Yet a higher level of active systems may be achieved when users are fully immersed in an interface which is a 3D computer generated virtual world and can interact with surrounding objects of that world as they were in a real one. This is the issue covered by Chapter 7. Interaction in such a world is both multidimensional and multimodal, with the possibility of free movement of the user in any direction and the simultaneous stimulation...

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  • Deep learning for recommending subscription-limited documents

    Publication

    Documents recommendation for a commercial, subscription-based online platform is important due to the difficulty in navigation through a large volume and diversity of content available to clients. However, this is also a challenging task due to the number of new documents added every day and decreasing relevance of older contents. To solve this problem, we propose deep neural network architecture that combines autoencoder with...

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