• Journal of Korean Society of Neurocognitive Rehabilitation
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• v.10 no.2
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• pp.53-62
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• 2018

The purpose of this study was to propose an alternative for the eating habits of modern people and coping with the diseases. The purpose of this study was to apply the principles of eating habits of people living in Roma Linda to modern dietary life and to help healthy life and prevent disease. The period of this study was from May 1, 2016 to February 28, 2018. Literature search was conducted using Pubmed and Korean academic web sites. Based on the recognition of wrong eating habits, we classify and classify diseases according to eating habits. A total of more than 100 papers were selected and 60 papers and a database were prepared. People living in Roma Linda have eight health principles. The Roma Linda practiced balanced nutritional intake, sufficient exercise, adequate water intake, sunlight, temperance (abstinence from alcohol etc.), fresh air, adequate rest, and trust in eating habits. People living in Roma Linda have a high intake of vegetables, fruits and nuts. People living in Roma Linda are educated about nutrition, and among them, there is a low prevalence of coronary heart disease and cancer, because they mostly do not smoke or drink alcohol. Unhealthy eating habits and dietary behavior are associated with many diseases. Many chronic, degenerative diseases are due to bad eating habits and stress. If you take good food habits of people living in the Roma Linda area and practice it steadily, it will have a great effect on disease prevention.

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