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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...
Probabilistic latent semantic analysis (PLSA) has been widely used in the machine learning community. However, the original PLSAs are not capable of modeling real-valued observations and usually have severe problems with over fitting. To address both issues, we propose a novel, regularized Gaussian PLSA (RG-PLSA) model that combines Gaussian PLSAs and hierarchical Gaussian mixture models (HGMM). We...
A system for humanoid robot arm movement concerns about generating a human-like point-to-point (p2p) trajectory. For more than a decade, numerous systems have been devised and many of them were based on complex dynamical systems. In this paper, we introduce a simpler system, integrating support vector machine (SVM) learning model, which can achieve same p2p objective. In our experiment, we compare...
This paper presents a methodology for running NGS read mapping tools in the cloud environment based on the MapReduce programming paradigm. As a demonstration, the recently developed and robust sequence alignment tool, BFAST, is used within our methodology to handle massive datasets. The results of our experiments show that the transformation of existing read mapping tools to run within the MapReduce...
This paper proposes a framework for the design of serious games in the area of revenue management. At this time, there is little systematic consideration of simulation-based serious games and their set-up available in this field. The suggested framework regards games as structured in three layered stages and explicates decisions influencing their design and focus. These decisions are structured according...
Social interaction and group coordination are important factors in the simulation of human crowd behavior. To date, few simulation methods have been informed by models of human group behavior from the social science studies. In this paper we advance a computational model informed by Common Ground (CG) Theory that both inherits the social realism provided by the CG model and is computationally tractable...
Agent based simulations often model humans and increasingly it is necessary to do this at an appropriate level of complexity. It has been suggested that the Belief Desire Intention (BDI) paradigm is suitable for modeling the cognitive processes of agents representing (some of) the humans in an agent based modeling simulation. This approach models agents as having goals, and reacting to events, with...
It has been a decade since the Workshop on Grand Challenge for Modeling & Simulation (M&S) was held at Dagstuhl in Germany (www.dagstuhl.de/02351). Grand challenges provide a critical focal point for research and development and can potentially create the critical mass needed to bring substantial transformation and benefit to a community. The Workshop addressed a wide variety of M&S theoretical,...
In this work, a human head from nuclear electromagnetic pulse (NEMP) is simulated by using CST program for the analysis of SAR at 1MHz, 10MHz, 50MHz. The human head model is homogeneous and simulated with the brain equivalent material. And the NEMP is described by the second double exponential pulse shape with some characteristic parameters. From these results, we find that while the frequency increase,...
In this work, we present a new technique to speed up 3D shape retrieval. Instead of performing an exhaustive search over the whole database, which implies a systematic comparison of the query object with all 3D objects in the database, we restrict the pattern matching to a subset of “good candidates” (the most similar to the query). Assuming that the database has been partitioned into several classes,...
In this paper, we built a behavior model for the Ubiquitous Display (UD) to provide a situation oriented service to the users in a large-scale public facility. The UD is a mobile-projection robot to support the user with visual information. If the UD provides a service in a public facility, we should assume the possible situations previously. According to the situation, the model should be built in...
With the popularity of Internet of Things, the next logical step will focus on the application layer on top of network connectivity, especially Web of Things. While most of the existing efforts on Web of Things are focused on device mash up and data collection, in this paper a semantic web of things framework is proposed to leverage Semantic Web as the unified mechanism for monitoring, tasking, presentation,...
Artificial society is the mapping and abstraction of large-scale complex systems (especially social systems), which has numerous complex characteristics such as diversity and dynamic evolution. It is also the basic part of ACP approach (Artificial societies for modelling, Computations experiments for analysis, Parallel execution for control, which is a methodology in social computing). Thus, artificial...
This paper introduces the design of a real time vision-based motion synthesis system. the system requires user to wear the markers in a certain color. Based on that, several novel algorithms were used for feature detection and feature tracking under occlusion by estimating the velocity of missing features based on the prior, smoothness and fitness term. These algorithms ensured the accuracy and low...
The use of information technology in research and practice leads to increased degree of automation of tasks and makes scientific experiments more efficient in terms of cost, speed, accuracy, and flexibility. Scientific workflows have proven useful for the automation of scientific computations. However, not all tasks of an experiment can be automated. Some decisions still need to be made by human users,...
The ability to automatically predict likelihood of reaction to specific events and situational awareness is important to many military and commercial applications. Gauging population sentiment for targeted response areas and having the ability to predict or control sentiment within these areas is invaluable. Review of reception towards deployed forces must be analyzed, especially in areas vital for...
In this paper, we consider the problem of tracking human motion with a 22-DOF kinematic model from depth images. In contrast to existing approaches, our system naturally scales to multiple sensors. The motivation behind our approach, termed Multiple Depth Camera Approach (MDCA), is that by using several cameras, we can significantly improve the tracking quality and reduce ambiguities as for example...
We address the problem of robot participation as a team member in group activities. In this human-robot interactive setting, the goal is to enable a robot to detect objects around it using on-board video cameras, and determine which activity they are performing. It then determines how it should move to participate in the activity based on its intended role, derived from domain knowledge, and human...
Despite evidence that human wayfinders consider directions involving landmarks or topological descriptions easier to follow, the majority of commerical direction-planning services and GPS navigation units plan routes based on metrically or temporally shortest paths, ignoring this potentially valuable information. We propose a method for generating directions that maximizes the probability of a human...
Introduction of touch screen technology in the flight deck is getting considerable attention. Various flight deck tasks can be simplified and performed much more easily by the application of touch screen technology. The touch screen technology would be helpful in reducing flight deck workload and ensuring safety especially by reducing the head down scan time when used on the flight display. In consumer...
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