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Systematic Literature Review for Emotion Recognition from EEG Signals
PublikacjaResearchers have recently become increasingly interested in recognizing emotions from electroencephalogram (EEG) signals and many studies utilizing different approaches have been conducted in this field. For the purposes of this work, we performed a systematic literature review including over 40 articles in order to identify the best set of methods for the emotion recognition problem. Our work collects information about the most...
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E-technologie wspomagające terapię dzieci z autyzmem
PublikacjaAutyzm jest zaburzeniem rozwojowym, w którym deficytowe są umiejętności komunikacyjne oraz możliwości uczenia. Edukacja i terapia dzieci z autyzmem wymaga zindywidualizowanego podejścia, gdyż występowanie i nasilenie objawów jest u nich różnorodne. Rozwiązania technologiczne, wspierające procesy terapeutyczne w autyzmie, muszą spełniać wiele kryteriów, oprócz ogólnej użyteczności czy też dopasowania do wieku dzieci. Projektowanie...
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Lessons learned from developing an Industry 4.0 mobile process management system supported by Artificial Intelligence
PublikacjaResearch, development and innovation (RDI) projects are undertaken in order to improve existing, or develop new, more efficient products and services. Moreover, the goal of innovation is to produce new knowledge through research, and disseminating it through education and training. In this line of thinking, this paper reports and discusses the lessons learned from the undertaken project, regarding three areas: machine learning...
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Improving Re-rankCCP with Rules Quality Measures
PublikacjaRecommender 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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Problemy niepewności i integracji w przetwarzaniu danych o stanie emocjonalnym użytkownika komputera
PublikacjaIstnieje wiele programów automatycznego rozpoznawania emocji z pojedynczych modalności. Wykorzystują one różnorodne modele reprezentacji emocji, a także metody przetwarzania. Obecnie wyraźnie widoczny jest trend do wykorzystania analizy wielomodalnej oraz wielokanałowej, mającej na celu poprawę skuteczności rozpoznawania emocji oraz poprawę niezawodności. W dziedzinie automatycznego rozpoznawania emocji nie określono typowego modelu...
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Contextual ontology for tonality assessment
Publikacjaclassification tasks. The discussion focuses on two important research hypotheses: (1) whether it is possible to construct such an ontology from a corpus of textual document, and (2) whether it is possible and beneficial to use inferencing from this ontology to support the process of sentiment classification. To support the first hypothesis we present a method of extraction of hierarchy of contexts from a set of textual documents...
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The adaptive spatio-temporal clustering method in classifying direct labor costs for the manufacturing industry
PublikacjaEmployee productivity is critical to the profitability of not only the manufacturing industry. By capturing employee locations using recent advanced tracking devices, one can analyze and evaluate the time spent during a workday of each individual. However, over time, the quantity of the collected data becomes a burden, and decreases the capabilities of efficient classification of direct labor costs. However, the results obtained...
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EduAkcja. Historia pewnego czasopisma
PublikacjaRozdział przedstawia przebieg inicjatywy powołania czasopisma poświęconego zdalnemu nauczaniu o nazwie EduAkcja. Magazyn edukacji elektronicznej
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Child-Robot Interaction Studies During COVID-19 Pandemic
PublikacjaThe coronavirus disease (COVID-19) pandemic affected our lives deeply, just like everyone else, the children also suffered from the restrictions due to COVID-19 affecting their education and social interactions with others, being restricted from play areas and schools for a long time. Although social robots provide a promising solution to support children in their education, healthcare, and social interaction with others, the precautions...
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Exploring application relationships within enterprise system by matching messages in enterprise log
PublikacjaWith data becoming their key asset, large enterprises require data governance processes to maintain its quality. Because a large portion of business value in enterprise systems is usually delivered by legacy applications without proper documentation, there is a need for a better understanding of these applications and the data produced by them. In this paper, we present an approach to collecting insights into the data managed by...
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BIG PROBLEMS WITH BIG DATA
PublikacjaThe article presents an overview of the most important issues related to the phenomenon called big data. The characteristics of big data concerning the data itself and the data sources are presented. Then, the big data life cycle concept is formulated. The next sections focus on two big data technologies: MapReduce for big data processing and NoSQL databases for big data storage.
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Choosing Exploration Process Path in Data Mining Processes for Complex Internet Objects
PublikacjaWe present an experimental case study of a novel and original framework for classifying aggregate objects, i.e. objects that consist of other objects. The features of the aggregated objects are converted into the features of aggregate ones, by use of aggregate functions. The choice of the functions, along with the specific method of classification can be automated by choosing of one of several process paths, and different paths...
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Exploring Impact of Requirements Engineering on Other IT Project Areas – Case Study
PublikacjaRequirements Engineering (RE) is recognized as one of the most important (yet difficult) areas of software engineering that has a significant impact on other areas of IT projects and their final outcomes. Empirical studies investigating this impact are hard to conduct, mainly due to the great effort required. It is thus difficult for both researchers and industry practitioners to make evidence-based evaluations about how decisions...
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Systematic Literature Review for Emotion Recognition from EEG Signals
PublikacjaResearchers have recently become increasingly interested in recognizing emotions from electroencephalogram (EEG) signals and many studies utilizing different approaches have been conducted in this field. For the purposes of this work, we performed a systematic literature review including over 40 articles in order to identify the best set of methods for the emotion recognition problem. Our work collects information about the most...
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Toward a unified model of mobile Business Intelligence (m-BI) acceptance and use
PublikacjaFactors affecting mobile business intelligence (m-BI) acceptance and use have become an increasingly important topic in practice due to the growing complexity of organizations, and their underlying information systems (IS). Since, one can notice considerable interest in m-BI, however, to the best of our knowledge few studies (if any) aim to synthesize the existing body of knowledge with regards to the factors affecting m-BI acceptance...
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Multi-domain and Context-Aware Recommendations Using Contextual Ontological User Profile
PublikacjaRecommender Systems (RS) became popular tools in many Web services like Netflix, Amazon, or YouTube, because they help a~user to avoid an information overload problem. One of the types of RS are Context-Aware RS (CARS) which exploit contextual information to provide more adequate recommendations. Cross-Domain RS (CDRS) were created as a response to the data sparsity problem which occurs when only few users can provide reviews or...
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Evaluating the Internal and External Usability of Mobile Technologies in Facilitating Knowledge Transfer
PublikacjaA worker’s performance and productivity depend on a variety of factors including knowledge, to be essential for self-effectiveness and self-efficacy. In the literature, knowledge transfer is argued to enhance the quality of work, and therefore, its value. When addressing this issue, the latest studies have considered and evaluated the use of mobile technologies, which are evidenced to improve a worker’s capacity and skills. However,...
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Greencoin: a Proenvironmental Action-Reward System
PublikacjaThe massive destruction of the natural environment is rapidly eroding the world’s capacity to provide food and water, threatening the security of billions of people. In order to facilitate green lifestyles – understood in terms of both pro-environmental behaviors and green self-image on the one hand, and to build sustainable local and global communities, on the other, we put forward an idea of a novel action-reward system based...
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Performance Evaluation of GAM in Off-Body Path Loss Modelling for Body Area Networks
PublikacjaThis paper addresses the performance evaluation of an off-body path loss model, based on measurements at 2.45 GHz, which has been developed with the use of the Generalised Additive Model, allowing to model a non-linear dependence on different predictor variables. The model formulates path loss as a function of distance, antennas’ heights, antenna orientation angle and polarisation, results showing that performance is very sensitive...
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Method of selecting programming practices for the safety-critical software development projects
PublikacjaIn recent years a plan-driven approach traditionally used in safety-critical software development has been put to a test by rapidly changing technologies, more diverse group of clients and volatile market requirements. The need to deliver good quality systems, faster and at lower cost in comparison to competitors encouraged companies to look for more efficient solutions. Agile methodologies are known to successfully address these...