Search results for "Forma"
showing 10 items of 34540 documents
Vertical Software Industry Evolution: The Impact of Software Costs and Limited Customer Base
2013
ContextSoftware systems are commonly used in a variety of industries as a means of automating organizational business processes. Initially, such software is often developed in-house by the vertical organizations possibly with the support of professional IT service providers; however, in many cases, internally developed software is eventually replaced with the software products provided by independent software vendors. These vendors often use license fees to recover their software development investments, as well as to gain some margin. However, if the vendor's customer base for a specific type of software is limited, then either the license fees are too high and hence the customers may pref…
Semi-automatic literature mapping of participatory design studies 2006--2016
2018
The paper presents a process of semi-automatic literature mapping of a comprehensive set of participatory design studies between 2006--2016. The data of 2939 abstracts were collected from 14 academic search engines and databases. With the presented method, we were able to identify six education-related clusters of PD articles. Furthermore, we point out that the identified clusters cover the majority of education-related words in the whole data. This is the first attempt to systematically map the participatory design literature. We argue that by continuing our work, we can help to perceive a coherent structure in the body of PD research.
Can back-projection fully resolve polarity indeterminacy of independent component analysis in study of event-related potential?
2011
a b s t r a c t In the study of event-related potentials (ERPs) using independent component analysis (ICA), it is a traditional way to project the extracted ERP component back to electrodes for correcting its scaling (magnitude and polarity) indeterminacy. However, ICA tends to be locally optimized in practice, and then, the back-projection of a component estimated by the ICA can possibly not fully correct its polarity at every electrode. We demonstrate this phenomenon from the view of the theoretical analysis and numerical simulations and suggest checking and modifying the abnormal polarity of the projected component in the electrode field before further analysis. Moreover, when several co…
Social Collaborative Viewpoint Regression with Explainable Recommendations
2017
A recommendation is called explainable if it not only predicts a numerical rating for an item, but also generates explanations for users' preferences. Most existing methods for explainable recommendation apply topic models to analyze user reviews to provide descriptions along with the recommendations they produce. So far, such methods have neglected user opinions and influences from social relations as a source of information for recommendations, even though these are known to improve the rating prediction. In this paper, we propose a latent variable model, called social collaborative viewpoint regression (sCVR), for predicting item ratings based on user opinions and social relations. To th…
A Novel Model for Cybersecurity Economics and Analysis
2017
In recent times, major cybersecurity breaches and cyber fraud had huge negative impact on victim organisations. The biggest impact made on major areas of business activities. Majority of organisations facing cybersecurity adversity and advanced threats suffers from huge financial and reputation loss. The current security technologies, policies and processes are providing necessary capabilities and cybersecurity mechanism to solve cyber threats and risks. However, current solutions are not providing required mechanism for decision making on impact of cybersecurity breaches and fraud. In this paper, we are reporting initial findings and proposing conceptual solution. The paper is aiming to pr…
The Reform of Vocational Education and Training in Finland: Insights from Twitter
2018
This paper aims to analyse and describe relationships and communication in Twitter in relation to vocational education and training reform in Finland. Data were collected during the early implementation phase of the reform from January 2018 to early June 2018. The data included 2400 tweets containing the hashtag #amisreformi (VET reform). Social network analysis was utilised to study the network and communities. The main themes of the tweets were analysed using thematic analysis, and automated sentiment analysis was used to examine the tones of the tweets and public opinion. The study showed that the official actors were central influencers in the network that lacked connectivity. Overall, …
An Approach for Network Outage Detection from Drive-Testing Databases
2012
A data-mining framework for analyzing a cellular network drive testing database is described in this paper. The presented method is designed to detect sleeping base stations, network outage, and change of the dominance areas in a cognitive and self-organizing manner. The essence of the method is to find similarities between periodical network measurements and previously known outage data. For this purpose, diffusion maps dimensionality reduction and nearest neighbor data classification methods are utilized. The method is cognitive because it requires training data for the outage detection. In addition, the method is autonomous because it uses minimization of drive testing (MDT) functionalit…
Appraisal and Mental Contents in Human-Technology Interaction
2015
User experience has become a key concept in investigating human-technology interaction. Therefore it has become essential to consider how user experience can be explicated using psychological concepts. Emotion has been widely considered to be an important dimension of user experience, and one obvious link between modern psychology and the analysis of user experience assumes the analysis of emotion in interaction processes. In this paper, the focus is on the relationship between action types and elicited emotional patterns. In three experiments including N = 40 participants each, it is demonstrated that the types of emotions experienced when people evaluate and use technical artefacts differ…
Cognitive self-healing system for future mobile networks
2015
This paper introduces a framework and implementation of a cognitive self-healing system for fault detection and compensation in future mobile networks. Performance monitoring for failure identification is based on anomaly analysis, which is a combination of the nearest neighbor anomaly scoring and statistical profiling. Case-based reasoning algorithm is used for cognitive self-healing of the detected faulty cells. Validation environment is Long Term Evolution (LTE) mobile system simulated with Network Simulator 3 (ns-3) [1, 2]. Results demonstrate that cognitive approach is efficient for compensation of cell outages and is capable to improve network coverage. Anomaly analysis can be used fo…
Turing's error-revised
2016
Many important lines of argumentation have been presented during the last decades claiming that machines cannot think like people. Yet, it has been possible to construct devices and information systems, which replace people in tasks which have previously been occupied by people as the tasks require intelligence. The long and versatile discourse over, what machine intelligence is, suggests that there is something unclear in the foundations of the discourse itself. Therefore, we critically studied the foundations of used theory languages. By looking critically some of the main arguments of machine thinking, one can find unifying factors. Most of them are based on the fact that computers canno…