The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Geovisualization, with its capacity to provide tools for visual spatial analysis, has wide-ranging domain applications to support sense and decision making in humanitarian crisis management. The need for such tools is manifest in the Middle East in light of the Syrian civil war and ensuing mass migration of millions of refugees to neighboring countries. The Zaatari refugee camp, home to 80,000 Syrian...
Models are perceived as effective tools for stakeholder communication and analysis concerning a given system. Enterprise Architecture assists organizational change with the creation and maintenance of models as a means to mitigate the business-IT misalignment and supporting decision-making regarding the strategic vision of the enterprise. Literature has acknowledged the topic of enterprise architecture...
Image captioning is a challenging problem owing to the complexity in understanding the image content and diverse ways of describing it in natural language. Recent advances in deep neural networks have substantially improved the performance of this task. Most state-of-the-art approaches follow an encoder-decoder framework, which generates captions using a sequential recurrent prediction model. However,...
Control systems monitor and command other devices, systems, and software within an infrastructure. Typically, control systems employ human-in-the-loop control for critical decision making and response. These end-users require easy access to accurate, actionable and relevant data to ensure quick and effective decision making. This work presents a framework for creating dynamic visual interfaces for...
This paper is motivated by the problem of identifying and presenting the most valuable states delivered by a partially observable Markov decision process (POMDP) policy graph with large number of edges and nodes. A control policy graph is the result of executing a POMDP algorithm to a well-defined set of system state transitions, and is composed of a prediction about the value achieved by each state...
In this work, we propose CLass-Enhanced Attentive Response (CLEAR): an approach to visualize and understand the decisions made by deep neural networks (DNNs) given a specific input. CLEAR facilitates the visualization of attentive regions and levels of interest of DNNs during the decision-making process. It also enables the visualization of the most dominant classes associated with these attentive...
In spite of the success of many commercial cloud service e-marketplaces, the search results from these platforms are usually presented as an unordered list of icons representing the services that best fit users' keyword-based queries. The drawback of such presentation mechanisms is that users are not able to immediately discriminate among the cloud services for easy decision making. A number of cloud...
In many-objective optimization, visualization of population in the high-dimensional objective space provides a critical understanding of the Pareto front. First, visualization throughout the evolutionary process can be exploited in developing effective many-objective evolutionary algorithms. Furthermore, visualization is a crucial component of multi-criteria decision making. By directly observing...
This research aims to study the neural influence of conflict between brand and product performance on consumer decision. In the experiment, stimuli of products with brand and performance information were displayed randomly. 22 subjects need to decide whether to buy, while the event-related potentials (ERPs) were recorded. The stimuli were divided into four conditions based on the consistency of brand...
This is a poster in support of our long paper, "Quill: A Framework for Constructing Negotiated Texts, with a Case Study on the US Constitutional Convention of 1787". The paper describes a new approach to the presentation of records relating to formal negotiations and the texts that they create. It describes the architecture of a model, platform, and web-interface (https://www.quillproject...
The present work presents an analysis to terms related to Big Data, Hadoop and presents results by means of RHadoop the combination of two technologies as are R and Hadhoop, these technologies are complemented in an advantageous way, because it allows the analysis and visualization of large volumes Of data, in addition a case study of the tweet is generated that generates from a user account using...
Information visualization is emerging in a new era in which social considerations, complex data and state-of-the-art technology are considered for making sense of data and then, effectively communicate valuable information to the audience for decision making. Although prior research provides frameworks for data visualization, their scope is often focused on diversifying visualization types instead...
Societal issues in cities concern many different stakeholders, all involved from different perspectives. In the context of deliberative democracy, this asks for a broad participation of stakeholders to influence and contribute to decision-making processes. We designed [X]Changing Perspectives, to explore how design might enrich deliberation with participatory sensemaking: the joint construction of...
Methods and algorithms of formation of scientific metaphors on the basis of multidimensional data of observation astrophysics, monitoring of medical institutions by interpretation of points multidimensional space of parameters of objects of monitoring are offered. By cognitive machine graphics these algorithms form cognitive images as scientific graphic metaphors in consciousness of the user. Efficiency...
Animals' decision-making behaviors are widely studied in two-alternative forced-choice tasks. Many models have been proposed to model the decision-making process and explain results of behavioral experiments. These models can fit the data of behavioral experiments well. However, the process of learning the correct decision with reward or punishment feedback is ignored in these models. Learning with...
The advance of technology has influenced the relationship between government and citizen. In this scenario, the convergence between digital democracy, crowd computing, information visualization, mining of social media and collaborative information systems can increase citizen participation in solution for social problems. The aim of this paper is to propose an application that provides a collaborative...
A distance cartogram (DC) is a technique that alters distances between a user-specified origin and the other locations in a map with respect to travel time. With DC, users can weigh the relative travel time costs between the origin and potential destinations at a glance because travel times are projected in a linearly interpolated time space from the origin. Such glance-ability is known to be useful...
The applied research for visualization methods in recommendation systems are demonstrated from the data analysis, results and explanation of the recommendations and human-computer interaction. First, various categories of visualization methods thoughts are described, and their characteristics, pros and cons are analyzed. Second, the typical application applying visualization methods are listed. Finally,...
Communicating statistical uncertainty to non-expert users is essential to translating data driven insights to create impact in the 'real world'. Embedding uncertainty in data visualizations however, can be a significant design challenge due when communicating to non-expert decision makers, and has been avoided in the past due to fear of overwhelming or confusing the audience. This research aims to...
Data mining technology plays an important role in uncovering hidden and interesting patterns. Actually the discovering of models and relationships concealed in data extends the possibilities to support decision-making. The objective of this paper is to investigate how decision makers obtain knowledge from the extracted patterns representation. We aim to design an efficient visual tool to articulate...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.