Search results for "Cybernetics"
showing 10 items of 331 documents
Engineering Students' Experiences in Studying Entrepreneurship
2014
Background Entrepreneurial learning, or the acquisition of entrepreneurial skills, in engineering at the college level has become an important topic. The labor market needs engineers who are prepared to adapt to changing market conditions and enhance innovations that offer new value to customers and society as a whole. An entrepreneurial mindset, knowledge, skills, and attitudes are closely related to innovation and creativity as enablers of entrepreneurial actions that are essential to prepare students for a successful professional life. Purpose This study sought to examine how engineering students experience studying entrepreneurship in a course that is based on a socio-constructivist vie…
Model For Testing The İmpact Of Motivational Factors Of Nascent Entrepreneurs On Business Surviving Success
2016
The development of founded companies is influenced by a wide variety of factors. In order to predict the chance of success for entrepreneurship, the relationship between these factors and the business surviving success has to be analyzed. Research indicates an influence of the motivation of entrepreneurs and financial success. The object of this paper are nascent entrepreneurs and the subject is the motivational structure of nascent entrepreneurs. Methods of the paper are literature review, factor analysis and calculated model. Aim of the paper is building a relationship between the motivation of entrepreneurs and the business surviving success of the founded companies. The result of the pa…
Factors affecting the performance of entrepreneurial service firms
2008
In the current climate, the importance of the role played by entrepreneurship as a palpable reality that enables economic growth at a macroeconomic level, and as a factor that favours the progress of companies at a microeconomic level, has made it the subject of continual analyses from many different perspectives and in a variety of contexts by researchers from around the world. In this study, Spanish entrepreneurial firms in the service sector are analysed in order to determine the factors that influence their performance.
Learning main drivers of crop progress and failure in Europe with interpretable machine learning
2021
Abstract A wide variety of methods exist nowadays to address the important problem of estimating crop yields from available remote sensing and climate data. Among the different approaches, machine learning (ML) techniques are being increasingly adopted, since they allow exploiting all the information on crop progress and environmental conditions and their relations with crop yield, achieving reliable and accurate estimations. However, interpreting the relationships learned by the ML models, and hence getting insights about the problem, remains a complex and usually unexplored task. Without accountability, confidence and trust in the ML models can be compromised. Here, we develop interpretab…
Introducing the Study of Nordic Cooperation
2020
To rediscover Nordic cooperation this article develops a ‘conceptual grammar’ that provides general theoretical ‘images’ of cooperation that are systematically applied. Being supplementary analytical constructs, moreover, these images capture great variety and differentiation in Nordic cooperation. Next, this article provides a review of two sets of literature that are of particular relevance to this thematic issue. The first is a broader literature on European integration. The second is studies of Nordic cooperation. The article closes with an overview of the contributions to this thematic issue.
The Appraisal Theory of Emotion in Human–Computer Interaction
2020
This chapter reviews the appraisal theory of emotion and how it has been employed in human–computer interaction (HCI) research. This theory views emotion as a process that evaluates the subjective significance of an event. We demonstrate the usefulness of the perspective for HCI, as emotion is defined in terms of the events of the task environment and the goals and knowledge of the subject. Importantly, the appraisal theory ties these factors together in a cognitive appraisal process order to explain the variety of subjective emotional experiences. This is important for two reasons. First, a strong theoretical commitment allows researchers and designers to derive testable hypotheses from th…
A Multimodal Guide for Virtual 3D Models of Cultural Heritage Artifacts
2008
The area of cultural heritage preservation and fruition has drawn an ever growing attention of artificial intelligence and human-computer interaction research in the last decades. The common aim is to develop systems that can interact with the user in a variety of modes and in the most natural way. In this paper, a multimodal guide for virtual 3D environment navigation is presented. The proposed system integrates X3D environment with a multimodal interface. The application scenario is to provide a visitor assistance and guidance during the visit of one of the halls in the historical Palazzo Steri, the headquarters of the University of Palermo.
HUMAN: Hierarchical Universal Modular ANnotator
2020
A lot of real-world phenomena are complex and cannot be captured by single task annotations. This causes a need for subsequent annotations, with interdependent questions and answers describing the nature of the subject at hand. Even in the case a phenomenon is easily captured by a single task, the high specialisation of most annotation tools can result in having to switch to another tool if the task only slightly changes. We introduce HUMAN, a novel web-based annotation tool that addresses the above problems by a) covering a variety of annotation tasks on both textual and image data, and b) the usage of an internal deterministic state machine, allowing the researcher to chain different anno…
Safety assurance of an industrial robotic control system using hardware/software co-verification
2022
As a general trend in industrial robotics, an increasing number of safety functions are being developed or re-engineered to be handled in software rather than by physical hardware such as safety relays or interlock circuits. This trend reinforces the importance of supplementing traditional, input-based testing and quality procedures which are widely used in industry today, with formal verification and model-checking methods. To this end, this paper focuses on a representative safety-critical system in an ABB industrial paint robot, namely the High-Voltage electrostatic Control system (HVC). The practical convergence of the high-voltage produced by the HVC, essential for safe operation, is f…
Imputation Procedures in Surveys Using Nonparametric and Machine Learning Methods: An Empirical Comparison
2020
Abstract Nonparametric and machine learning methods are flexible methods for obtaining accurate predictions. Nowadays, data sets with a large number of predictors and complex structures are fairly common. In the presence of item nonresponse, nonparametric and machine learning procedures may thus provide a useful alternative to traditional imputation procedures for deriving a set of imputed values used next for the estimation of study parameters defined as solution of population estimating equation. In this paper, we conduct an extensive empirical investigation that compares a number of imputation procedures in terms of bias and efficiency in a wide variety of settings, including high-dimens…