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Accurate quantification of loss of response to external stimuli is essential for understanding the mechanisms of loss of consciousness under general anesthesia. We present a new approach for quantifying three possible outcomes that are encountered in behavioral experiments during general anesthesia: correct responses, incorrect responses and no response. We use a state-space model with two state variables...
In this paper we propose a new method based on finite element method for solving radiation boundary condition of heat equation inside the human eye and other applications. Using this method, we can solve heat equation inside human eye without need to model radiation boundary condition to a robin boundary condition. Using finite element method we can obtain a nonlinear equation, and finally we use...
The eyes play a major role in our everyday activities. Eye movements are controlled by the oculomotor system, which enables us to stay focused on visual targets, switch visual attention, and compensate for external perturbations. This system's response to isolated visual or vestibular stimuli has been studied for decades, but what seems to be more critical is to know how it would respond to a combination...
Robots that display anticipatory motion provide their human partners with greater time to respond in interactive tasks because human partners are aware of robot intent earlier. We create anticipatory motion autonomously from a single motion exemplar by extracting hand and body symbols that communicate motion intent and moving them earlier in the motion. We validate that our algorithm extracts the...
Computer controlled characters in games typically lack the ability to adapt to situations that were not envisaged by the game artificial intelligence (AI) programmer. Consequently game characters tend to be lifeless and susceptible to repetitive and predictable behaviour. The focus of this work is to provide practical approaches to in-game learning and thus produce NPCs that are more believable and...
This paper presents a nonlinear analysis for the motion of equations proposed by Nakamura [8] to predict the lateral vibration induced by pedestrians on footbridges, in which the influence of crowd on the footbridge is considered as a velocity feedback with a time delay to it. The relationship between the lateral vibration of footbridge and the coefficients in Nakamura's model, including the rate...
Unconstrained human hand motions consisting grasp motion and in-hand manipulation lead to a fundamental challenge that many algorithms have to face in both theoretical and practical development, mainly due to the complexity and dexterity of the human hand. In this paper, fuzzy active curve axis Gaussian Mixture Model (FAcaGMM) is proposed by introducing a weighting exponent on the fuzzy membership...
This paper introduces region of interest (ROI) as a functionality to local tone mappings of high dynamic range (HDR) radiance maps. In the proposed scheme, a new quadratic regularization method is provided to decompose the luminance of an HDR radiance map into a base layer with large gradients and a detail layer with small gradients. An ROI based global tone mapping is designed to compress the base...
Based on RS, GIS and statistical analysis, this paper discusses the relationship of rural settlement spatial distribution and topography, landform, soil erosion, economic development, as well as achieves the classification of population pressure in Huanren County in Eastean Mountain Areas. The results show that the distribution pattern of rural settlement is affected obviously by elevation, slope,...
In order to realize intelligent agents such as autonomous mobile robots, Reinforcement Learning is one of the necessary techniques in control systems. It is desirable in terms of knowledge or skill acquisition of agents that reinforcement learning is based only upon rewards instead of teaching signals. However, there exist many problems to apply reinforcement learning to real-world tasks. The most...
The canonical Robot Learning from Demonstration scenario has a robot observing human demonstrations of a task or behavior in a few situations, and then developing a generalized controller. Current work further refines the learned system, often to perform the task better than the human could. However, the underlying assumption is that the demonstrations are successful, and are appropriate to reproduce...
Capture-the-flag is a complex, challenging game that is a useful proxy for many problems in robotics and other application areas. The game is adversarial, with multiple, potentially competing, objectives. This interplay between different factors makes the problem complex, even in the case of only two players. To make analysis tractable, previous approaches often make various limiting assumptions upon...
This paper presents a low-cost automated system that is able to apply a 5-degree-of-freedom (DOF) force on a human fingertip with high precision. It is designed to be used as a calibration platform for the previous proposed fingernail imaging system, and as a haptic system. The system is composed of two Novint Falcon devices linked by two universal joints and a rigid bar to provide 5-DOF motion and...
The 21st century is marked with a new trend towards new technological innovation, cross-cultural communication, globalization of economy, economization of knowledge and internationalized economic and commercial rules, which presents new challenges to the economic and social development of China and her enterprises' participation in the domestic and foreign markets. Intellectual property economy has...
According to System Dynamics (SD) theory, the paper analyzed relation between the input human capital investment of High-tech enterprise and its output, then the SD model of the relation was established, and its efficiency variation of the different input programs simulated. The result was highly available not only to explore rational investment structure of High-tech enterprises, but also to improve...
Energy diversification is very important to the sustainable economy growth. In this paper we develop an endogenous growth model and analyze some major relationship between the energy diversification and sustainable economy growth. The dynamic optimization results of the model show that the technology progress will make great contributions to the energy diversification and the specialized energy R&D...
This article is based on human capital theory, selecting statistics of fiscal expenditure on education of Sichuan province (ZC) and absolute poverty population (RK) in Sichuan province in year 2000 to 2009, applying methods concluding unit root test, cointegration test and grand causal analysis methods to do empirical research on both quantitative relationship, and concluded that there is a long-term...
In the article balance platform model will be presented, which in further part serve for leading simulation testing series. Because this type of mechanisms are mostly used in the posturoghaphy examinations, which rely on compensation movements registering performed in the straight posture so in the article authors concentrate on system consisting movable plate which moves in two directions x and y...
Using the parameter estimation method and latent variable approach, this paper investigates China's industrial output elasticity and TFP growth, and estimate the contribution of various factors to output growth from 1952 to 2007. The main findings are that the growth mode of industrial is extensive from 1952 to 2007. But the importance of each factors to growth have phased characteristics, especially...
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