Search results for "Data visualization"
showing 6 items of 76 documents
Psychological Influence of Double-Bind Situations in Human-Agent Interaction
2007
This paper presents a new approach to integrate artificial intelligence in virtual environments. The system presented deals in a separated way the visualization and intelligence modules, applying in this last case a distributed approach (multi-agent systems) so that scalable applications may be built. Therefore, it is necessary to define agent architectures that allow agents to be integrated in the VW. Thus, a designer is abstracted from the peculiarities of interacting with a virtual environment. There is a first prototype of the framework using JADE as the supporting multi-agent systems platform.
Perceived usefulness of business intelligence system in decision making process
2017
Liiketoimintatiedon järjestelmät ovat kasvattaneet suosiotaan. Tämän tutkielman tavoitteena on selvittää edesauttavatko nämä järjestelmät päätöksentekoprosessia. Tutkielmassa esitellään päätöksenteon tukijärjestelmien synty, historia ja tällaisten järjestelmien erilaiset tavoitteet. Järjestelmien teknologiset taustat ja päätöksentekoprosessi esitellään. Tutkielman aineisto on kerätty elektronisella kyselylomakkeella eri organisaatioiden työntekijöiltä. Kyselylomake koostui seitsemästä taustakysymyksestä ja 24 väittämästä mitaten kahdeksaa eri muuttujaa. Muuttujat käsittävät yleisiä tietojärjestelmiä, liiketoimintatiedon järjestelmiä sekä päätöksentekoprosessia. Aineiston data on analysoitu …
Analysis of network rumor dissemination and control mechanisms on Chinese social network : Sina Weibo
2016
The social network has become a major source of information. The openness and swiftness of the network bring instant accessing to both true and false information. Sometimes the false information such as network rumors can mislead people from obtaining the true information and even create chaos. The social network platforms and the governments in different countries are making effort on enacting their own mechanisms to strive on eliminating the rumors. The aim of this thesis is to investigate the spreading of rumors on the Chinese social networking website Sina Weibo. The censorship policy of the Chinese government and the methods used to control the spreading of rumors are discussed. The la…
Shared feature representations of LiDAR and optical images: Trading sparsity for semantic discrimination
2015
This paper studies the level of complementary information conveyed by extremely high resolution LiDAR and optical images. We pursue this goal following an indirect approach via unsupervised spatial-spectral feature extraction. We used a recently presented unsupervised convolutional neural network trained to enforce both population and lifetime spar-sity in the feature representation. We derived independent and joint feature representations, and analyzed the sparsity scores and the discriminative power. Interestingly, the obtained results revealed that the RGB+LiDAR representation is no longer sparse, and the derived basis functions merge color and elevation yielding a set of more expressive…
Data visualization in Scandinavian newsrooms : emerging trends in journalistic visualisation practices
2018
Abstract The visualization of numeric data is becoming an important element in journalism. In this article, we present an interview study investigating data visualization practices in Scandinavian newsrooms. Editorial leaders, data journalists, developers and graphic designers in 10 major news organizations in Norway, Sweden and Denmark provide information for the study on a range of issues concerning visualization practices and experiences. The emergence of multi-skilled specialist groups as well as innovation in technology and the ‘mobile first mantra’ are identified as important factors in the fast-developing practices of journalistic data visualization. Elements of tension and negotiati…
Visualising maritime vessel open data for better situational awareness in ice conditions
2018
Situational awareness of maritime vessels in ice conditions is important for the operation of supply chains. In the artic sea areas, the ice conditions pose a major challenge for maritime vessels getting stuck in the ice and being significantly delayed in arrival to harbor. Data science and open data provide new opportunities to overcome these challenges. This paper introduces available open data sources and data visualizations that can be used to develop applications, for example, for detecting maritime vessel collision, predicting estimated time of arrival to harbor, as well as maritime vessel route optimization in ice conditions. The paper begins by introducing available open data source…