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Significant improvements have been recently achieved in both quality and realism of computer generated characters, which are nowadays often very difficult to be distinguished from real ones. However, generating highly realistic facial expressions is still a challenging issue, since synthetic expressions usually follow a repetitive pattern, while in natural faces the same expression is usually produced...
This paper firstly provides a general introduction in the most important aspects and ideas of Visual Analytics. This multidisciplinary field focuses on the analytical reasoning of typically large and complex (often heterogeneous) data sets and combines techniques from interactive visualizations with computational analysis methods. Hereby, intuitive and efficient user interactions are a fundamental...
Understanding various factors affecting human operator's performance is one key to effectively controlling a multi-robot service queue. In this paper we study the optimal incentive design and task allocation scheme in the presence of strategic human operators with unknown capability information. We build a mechanism design framework to model and analyze the problem. We show that a simple and easy-to-implement...
HCM-L, a conceptual language for modeling human behavior within the context of ambient assistance is introduced. By exhibiting the results of a pattern-based analysis it is shown that HCM-L features all concepts to express control flows as discussed in [1] and as is relevant for human behavioral modeling. The work is part of the Project HBMS (Human Behavior monitoring and support) which aims at supporting...
This paper reports the results of the ARISTOTELE methodology for decision support on Human Resource Management and, in particular, of one of the most important tool of the methodology, i.e. the Relevance Analysis. The Relevance Analysis is devoted at providing a systemic way to map human resources on the basis of their relevance in an organization, and take informed decisions. We have defined a model...
We present a methodology to investigate the structure of dynamic networks in terms of concentration of changes in the network. We handle dynamic networks as series of graphs on a fixed set of nodes and consider the changes occurring between two consecutive graphs in the series. We apply our methodology to various dynamic contact networks coming from different contexts and we show that changes in these...
Center of Gravity (COG) analysis is an integral and cognitively demanding part of developing the course of action (COA) in military operational planning. However, the COG may be an abstract concept, or directly assaulting the COG is not feasible. Therefore, the critical vulnerabilities (CV) which influencing the COG must be determined. To do so, this paper proposes a COG network model based on the...
With the rapid growth of cities, urban planners are facing with challenges including road congestion, population overburden and so on. Managing such big and complex cities requires better understanding of the urban blocks' property. Traditional ways are mostly based on manual survey, which cost much and take long time. In this paper, we present a method to analyze the urban blocks' property and activity...
With the fast development of national economy, human beings' needs resources and the environment are higher and higher. Therefore it is great important to acquire the information of the present situation and changes of the resources promptly, to protect and to develop sustainable for the resources and ecological environment precisely and dynamically. This paper gives a brief introduction on the GIS...
Tiebout's model operationalizes assumptions about decentralized behavior of a population of autonomous individuals who seek greater utility through choices between jurisdictions with different political institutions designed to aggregate preferences. Based on an agent-based model inspired by Tiebout's model, we discuss the validity of these assumptions for the case of empirical situations present...
Adoption of Corporate Social Responsibility (CSR) by enterprises has become a norm. CSR has achieved great traction in its endeavor to do social good for the society at large. Though the main purpose of existence of business is to maximize shareholder's wealth, CSR provides an opportunity for enterprises to leverage upon the existing technological advances in the creation of a better society. However,...
Professional managers evaluation is an essential condition for professional managers marketization which provides objective basis and standards for the shape of selection, inspiration and mechanisms of monitoring. Through analyzing the professional managers' actuality, problems and effect factors in our country, based on the Stakeholder Theory, we explored the training mode of professional managers...
According to the competency dictionary of Spencer, this research explores the component of senior researchers' competency in universities, and designs a scale of competency through the literature review, net information analysis, as well as the interviews of experts. To elaborate a model for senior researchers' competency, a total of 348 professors from 17 universities answered the questionnaire....
Today, Virtual Reality (VR) technology has been applied in various fields, and the effects of inducing VR contents in humans have been studied. Generally, VR contents mainly consist of visual stimulation and it is considered that it influences the recognition mechanisms in the human brain, the behaviors in the human body and so on. In this research, in order to construct a methodology of VR content...
We propose the dynamical model describing the effect of boredom in the human learning process. It is shown numerically that the instability may appear in the dynamics of the system corresponding to the simple case of the single agent performing repeated choice between two alternatives. The discovered patterns of the periodic preference oscillations confirm that the model under consideration could...
In this paper, we propose a new approach to analyze human behaviors by using a series of stochastic models composed of a Bivariate Gamma Markov model, a two dimensional correlated Random Walk model and a finite state Markov Chain model. Specifically, the proposed method contains three modules namely: (i) image analysis module, (ii) probability analysis module and (iii) event analysis module. We model...
A novel data-driven resting state fMRI analysis based on sparse dictionary learning is presented. Although ICA has been a popular data-driven method for resting state fMRI data, the assumption that sources are independent often leads to a paradox in analyzing closely interconnected brain networks. Rather than using independency, the proposed approach starts from an assumption that a temporal dynamics...
Human reliability is an essential quality of Computer Aided Design (CAD) in new product development (NPD). Based on the proposals of the German VDI 2221 guideline for CAD product development, a semiotic human-machine model is adapted to examine human reliability in new product development, especially regarding time constraints. For this goal, a CAD experiment (n=116) with three VDI-2221 compliant...
The aim of this work is to highlight the paramount importance of the availability of an electromagnetic model for the design of system based on electromagnetic radiation for search and rescue operation of humans buried under different materials as debris, and snowslide. In this contribution the monitoring of the breathing activity of a man buried into a homogeneous lossy medium has been analyzed....
As one of the most important achievements during the last decade in product lifecycle management (PLM), contextual object definition became main integrating factor in product models. In this paper, the authors introduce their recent results in contextual product modeling. Four aspects of contextual product object definition are discussed and recent related results are introduced. The aspects are contextual...
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