• Journal of Hospice and Palliative Care
• /
• v.8 no.2
• /
• pp.216-223
• /
• 2005

Purpose: The purpose of this study was to compare the need for hospice care between families of children and adults with cancer. Methods: The data was collected from 190 families of children and adult with cancer using self-rating questionnaires from December, 2004 to February, 2005. Data was analyzed using SPSS/Win program by Mean, SD and t-test. Results: The mean score of the need for hospice care in families of children with cancer was greater significantly than in families of adults with cancer (t=-2.126, P=.035). The scores of two factors among the five factors evaluated for the need for hospice care were different significantly. The mean score of control of major terminal physical symptoms' in families of children with cancer was greater significantly than the mean score of adults with cancer (t=-2.165, P=.032). The mean score of 'spiritual care to prepare for death' in families of adults with cancer was greater significantly than the mean score of children with cancer (t=-2.380, P=.018). Conclusion: For improving the quality of life for both patients and families, the hospice service program needs to consider the life cycle of patients.

• Journal of KIISE:Computing Practices and Letters
• /
• v.9 no.3
• /
• pp.322-331
• /
• 2003

As the complexity of a 3D game is increased by various factors of the game scenario, it has a problem for controlling the interrelation of the game objects. Therefore, a game system has a necessity of the coordination of the responses of the game objects. Also, it is necessary to control the behaviors of animations of the game objects in terms of the game scenario. To produce realistic game simulations, a system has to include a structure for designing the interactions among the game objects. This paper presents a method that designs the dynamic control mechanism for the interaction of the game objects in the game scenario. For the method, we suggest a game agent system as a framework that is based on intelligent agents who can make decisions using specific rules. Game agent systems are used in order to manage environment data, to simulate the game objects, to control interactions among game objects, and to support visual authoring interface that ran define a various interrelations of the game objects. These techniques can process the autonomy level of the game objects and the associated collision avoidance method, etc. Also, it is possible to make the coherent decision-making ability of the game objects about a change of the scene. In this paper, the rule-based behavior control was designed to guide the simulation of the game objects. The rules are pre-defined by the user using visual interface for designing their interaction. The Agent State Decision Network, which is composed of the visual elements, is able to pass the information and infers the current state of the game objects. All of such methods can monitor and check a variation of motion state between game objects in real time. Finally, we present a validation of the control method together with a simple case-study example. In this paper, we design and implement the supervised classification systems for high resolution satellite images. The systems support various interfaces and statistical data of training samples so that we can select the most effective training data. In addition, the efficient extension of new classification algorithms and satellite image formats are applied easily through the modularized systems. The classifiers are considered the characteristics of spectral bands from the selected training data. They provide various supervised classification algorithms which include Parallelepiped, Minimum distance, Mahalanobis distance, Maximum likelihood and Fuzzy theory. We used IKONOS images for the input and verified the systems for the classification of high resolution satellite images.