• 아동학회지
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• 제32권6호
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• pp.157-185
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• 2011

The purpose of this study was to explore the factors influencing preschoolers' emergent English as a second language literacy skills in terms of maternal language behavior in Korean and English picture book reading. This study was also conducted in order to identify the pathways of each factor. The subjects consisted of 201 mothers and their 3~5 year-old children from middle income families living in Seoul, Incheon, Gyyounggi-do, and Chungcheongbuk-do. The results indicated that the factors influencing preschoolers' emergent English as a second language literacy skills acquisition were as follows : maternal beliefs about the value of picture book reading, the child's level of interest in picture book reading, the time spent on picture book reading and maternal language behavior during picture book reading activities. The results further indicate that it is important that the mother shares desirable language interaction with her children in their native language while reading not only Korean but also English picture books when aiming to improve preschoolers' emergent English literacy skills.

• 아동학회지
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• 제34권1호
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• pp.1-20
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• 2013

This study examined the emergent literacy development of children and the effects of the home literacy environment on it. 861 pairs each-consisting of a mother and a child aged from three to six years old were asked to complete the early literacy parent questionnaire (Boudreau, 2005) and the home literacy environment questionnaire (Park & Kim, 2008). The results showed that : (1) girls achieved higher scores than boys in emergent literacy and its subcategories. (2) there were age differences in all of the subcategories of emergent literacy except the categories of 'orientation toward literacy' and 'phonological awareness'. (3) The study revealed that 'reading books' in the home literacy environment was the most contributive variable in predicting emergent literacy after controlling the age and gender followed by 'literacy learning'

• 한국게임학회 논문지
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• 제14권4호
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• pp.7-16
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• 2014

본 실증적 연구의 목적은 MMORPG 게이머의 개인적, 사회적 특성이 게임에서의 창발적 행동에 어떠한 영향을 미치는지 알아보고, 게이머들의 이타적 행동과 조직 순응적 행동 유도에 대한 학술적, 실무적 시사점을 제공하는 것이다. 이를 위해 조직시민행동 이론을 토대로 가설을 설정하여, 리니지2 플레이어 231명을 대상으로 실증분석을 하였다. 분석 결과, 게임에서 형성된 '개인 요인'인 자기효능감, 직무만족 그리고 '사회관계 요인'인 과업상호의존성, 신뢰는 게이머의 창발적 파티 플레이에 유의미한 영향을 미치는 것으로 나타났다.

• 천문학회지
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• 제48권3호
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• pp.195-202
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• 2015

Star forming galaxies found in the early universe exhibit asymmetric Lyα emission line that results from multiple scattering in a neutral thick medium surrounding the Lyα emission source. It is expected that emergent Lyα will be significantly polarized through a large number of resonance scattering events followed by a number of successive wing scatterings. In this study we adopt a Monte Carlo method to calculate the polarization of Lyα transferred in a very thick static slab of H_I. Resonantly scattered radiation associated with transitions between is only weakly polarized and therefore linear polarization of the emergent Lyα is mainly dependent on the number of off-resonant wing scattering events. The number of wing scattering events just before escape from the slab is determined by the product of the Doppler parameter a and the line center optical depth τ₀, which, in turn, determines the behavior of the linear polarization of Lyα. This result is analogous to the study of polarized radiative transfer of Thomson scattered photons in an electron slab, where the emergent photons are polarized in the direction perpendicular to the slab when the scattering optical depth is small and polarized in the parallel direction when the slab is optically thick. Our simulated spectropolarimetry of Lyα shows that the line center is negligibly polarized, the near wing parts polarized in the direction parallel to the slab and the far wing parts are polarized in the direction perpendicular to the slab. We emphasize that the flip of polarization direction in the wing parts of Lyα naturally reflects the diffusive nature of the Lyα transfer process in thick neutral media.

• 한국정보통신학회논문지
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• 제16권4호
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• pp.843-852
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• 2012

본 논문에서는 복잡적응계 이론에 근거하여 공학교육인증제도와 글쓰기와의 관계를 분석하고 효과적인 공학적 글쓰기 교육 방법을 연구하였다. 인증제도 도입으로 인하여 공학교육은 창발현상을 지속적으로 유지하며 새로운 질서체계를 갖추어 나가고 있는 가운데 의사소통의 중요성을 부각시키고, 다양한 공학적 글쓰기 교육 모형을 요구하고 있다. 이에 대하여 본 연구는 상황학습방법과 글쓰기 포트폴리오 도입 방법을 제안하고, 이를 통해 학생들의 글쓰기 능력향상에 변화가 있었음을 확인하였다. 이러한 논의는 공학교육에서 새로운 공학적 글쓰기 교육 방안을 모색하는 계기가 될 것이다.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제4권3호
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• pp.327-336
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• 2004

In distributed autonomous mobile robot system, each robot (predator or prey) must behave by itself according to its states and environments, and if necessary, must cooperate with other robots in order to carry out a given task. Therefore it is essential that each robot have both learning and evolution ability to adapt to dynamic environment. This paper proposes a pursuing system utilizing the artificial life concept where virtual robots emulate social behaviors of animals and insects and realize their group behaviors. Each robot contains sensors to perceive other robots in several directions and decides its behavior based on the information obtained by the sensors. In this paper, a neural network is used for behavior decision controller. The input of the neural network is decided by the existence of other robots and the distance to the other robots. The output determines the directions in which the robot moves. The connection weight values of this neural network are encoded as genes, and the fitness individuals are determined using a genetic algorithm. Here, the fitness values imply how much group behaviors fit adequately to the goal and can express group behaviors. The validity of the system is verified through simulation. Besides, in this paper, we could have observed the robots' emergent behaviors during simulation.

• International Journal of Industrial Entomology and Biomaterials
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• 제1권2호
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• pp.91-93
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• 2000

Insects have many excellent features and functions in their small bodies, such as hexapod walking, flapping flight, vision systems, sensory hairs, etc, and those characteristics can be thought as good models for many types of robots. Insects also will be good models far micro-machines because of its size. Insect behavior consists of simple reflex acts and programmed behavior, Some robots were made in order to clarify the emergent mechanism of insect behavior, Through some experiments it would be found that even if insect behavior consists of some simple action patterns, it looks intelligent through interactions its sensors and actuators with its complex environment. In the near futures small robots inspired by insects will be used in many fields of our life. I hope that insect-model based robots will play an active part in many fields and that they will make us happy.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2003년도 ISIS 2003
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• pp.698-701
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• 2003

In recent years, various digital characters, which are automatic and intelligent, are attempted with the introduction of artificial intelligence or artificial life. Since the style of a character's behavior is usually designed by a developer, the style is very static and simple. So such a simple pattern of the character cannot satisfy various users and easily makes them feel tedious. A game should maintain various and complex styles of a character's behavior, but it is very difficult for a developer to design various and complex behaviors of it. In this paper, we adopt the genetic algorithm to produce various and excellent behavior-styles of a character especially focusing on Robocode which is one of promising simulators for artificial intelligence.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 1998년도 The Third Asian Fuzzy Systems Symposium
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• pp.170-175
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• 1998

Transporting a large table using multiple robotic agents requires at least two group behaviors of homing and herding which are to bo coordinated in a proper sequence. Existing GP methods for multi-agent learning are not practical enough to find an optimal solution in this domain. To evolve this kind of complex cooperative behavior we use a novel method called fitness switching. This method maintains a pool of basis fitness functions each of which corresponds to a primitive group behavior. The basis functions are then progressively combined into more complex fitness functions to co-evolve more complex behavior. The performance of the presented method is compared with that of two conventional methods. Experimental results show that coevolutionary fitness switching provides an effective mechanism for evolving complex emergent behavior which may not be solved by simple genetic programming.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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• pp.532-532
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• 2000

Conventional artificial intelligence systems are not properly responding under dynamically changing environments. To overcome this problem, reactive planning systems implementing new Al principles, called behavior-based Al or emergent computation, have been proposed and confirmed their usefulness. As another alternative, biological information processing systems may provide many feasible ideas to these problems. Immune system, among these systems, plays important roles to maintain its own system against dynamically changing environments. Therefore, immune system would provide a new paradigm suitable for dynamic problem dealing with unknown environments. In this paper, a new approach to behavior-based Al by paying attention to biological immune system is investigated. The feasibility of this method is confirmed by applying to behavior control of an autonomous mobile robot in cluttered environment.