• Journal of Korea Multimedia Society
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• v.15 no.3
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• pp.398-407
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• 2012

We propose a tree modeling method of expressing realistically and efficiently numerous trees distributed on a broad terrain. This method combines and simplifies the recursive hierarchy of tree branch and branch generation process through self-organizing from buds, allowing users to generate trees that can be used more intuitively and efficiently. With the generation process the leveled structure and the appearance such as branch length, distribution and direction can be controlled interactively by user. In addition, we introduce an environment-adaptive model that allows to grow a number of trees variously by controlling at the same time and we propose an efficient application method of growing environment. For the real-time rendering of the complex tree models distributed on a broad terrain, the rendering process, the LOD(level of detail) for the branch surfaces, and shader instancing are introduced through the GPU(Graphics Processing Unit). Whether the numerous trees are expressed realistically and efficiently on wide terrain by proposed models are confirmed through simulation.

• Proceedings of the Korean Institute of Surface Engineering Conference
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• 2017.05a
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• pp.133-133
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• 2017

[서론] Pure Ti 및 Ti합금의 양극산화법에 의해 만들 수 있는 자기조직화된 나노튜브피막은 광촉매, 태양전지 등 다양한 분야에서 많은 연구가 되고 있다. 양극산화법에 의해 생성되는 산화피막층의 성장거동에 대해서 지금까지 용액의 pH, 온도 및 인가전압 등 양극산화조건의 영향에 대해 많은 연구가 보고 되었다. 하지만, 양극산화에 사용되는 기판의 특성에 대해서는 많은 연구가 이루어지지 않고 있다. 본 연구에서는 pure Ti 및 Ti-Ni합금에 양극산화법에 의해 생성하는 나노튜브 피막층의 성장거동에 대해 기판의 특성(Ni농도 변화 및 phase변화)이 피막층의 형태 및 성장거동에 미치는 영향에 대해서 조사 하였다. [실험방법] Sample은 pure Ti 및 Ti-xNi(x=49.0, 51.1, 52.2, 52.5 at.%)를 이용하였다. Ti-Ni합금은 아크용해로 제작 후 $1000^{\circ}C$ 에서 24시간 균질화 처리 후 20% 냉간압연을 하였다. 합금의 조성 및 결정구조 분석은 EPMA 및 XRD를 통해 조사 하였고, 양극산화는 미량의 물 및 불화암모늄을 포함한 에틸렌글리콜 용액에서 20, 35, 50V 20분간 실시하였다. 양극산화법에 의해 형성한 산화피막층은 FE-SEM 및 TEM을 통해 관찰 하였다. [결론] Pure Ti의 경우 모든 조건에서 나노튜브형태의 산화막이 형성되는 것을 알 수 있었다. 하지만, Ti-Ni 합금의 경우 20V, 35V에서는 sponge 형태의 산화막이 형성되고, 50V에서만 나노튜브형태의 산화막이 형성 되었다. 또한, 모든 시편에서 양극산화 시간이 증가함에 따라 나노튜브형태의 산화막은 sponge 형태로 구조적 변화가 일어나는 것을 알 수 있었다. 그리고, 기판 Ni농도가 증가 함에 따라 형성되는 산화막의 형태 변화는 가속화 되는 것을 알 수 있었다. 이러한 결과는 양극산화 초기 Ti의 우선적 산화에 의해 Ti과잉의 나노튜브층이 생성되고, 동시에 산화막과 합금계면에 Ni과잉층이 형성되는 것을 알 수 있었다. 산화막과 합금계면에 생성된 Ni과잉층에 의해 양극산화 시간이 증가함에 따라 sponge형태의 산화막이 생성되는 것을 알 수 있었다.

• Journal of Korea Game Society
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• v.11 no.2
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• pp.57-68
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• 2011

This study approaches how newly emerged game companies has implemented strategies for product diversification according to market growth cycle(beginninggrowing-mature) by empirical case study through evolutionary theory and resource based theory approach. At the beginning, online game companies had grown with different strategies(technology based, service based) by initial condition(genre, technological level, user attribute). After market growth, for product diversification, these companies carried out path-dependent alliance strategy(complementary, competitive) depending on resource base(technology capacity, service capacity based). As online game market getting mature, these companies has adapted flexibly in responding to market growth cycle by integrated strategy(naturally selected to mobilize every possible resource capability). By analyzing the alliance strategies pattern of online game companies in newly emerged game industry according to market growth cycle through combination of resource based theory and evolutionary theory, these results suggest that new industrial, theoretical, policy model is required.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.37A no.9
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• pp.762-771
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• 2012

In this paper, we propose an adaptive power control scheme employing a self-optimization concept in femtocell systems, in order to improve system capacity, thereby reducing call-drop probability. In the proposed scheme, each femto base station(FBS) controls individual channel's transmission power base on two parameters; the neighboring cell's transmission power for each individual channel which is delivered from a femto-gateway and the received power strength from neighboring cells which is periodically measured by means of a spectrum sensing. Adaptive adjustment of individual channel's transmission power in accordance with femto mobile station(FMS) mobility features can also reduce undesirable handovers and evenly distribute traffic load over all femtocells. In addition, the manipulative control of channel's transmission power is able to keep the system coverage and the call-drop probability within an acceptable range, regardless of density of femtocells. Computer simulation shows that the proposed scheme outperforms existing schemes in terms of the system coverage and the call-drop probability.

• Journal of the Korean Institute of Intelligent Systems
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• v.7 no.5
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• pp.34-45
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• 1997

In this paper, we present hardware implemcntation of self-organizing feature map (SOFM) neural networkwith constant adaptation gain and binary reinforcement function on FPGA. Whereas a tnme-varyingadaptation gain is used in the conventional SOFM, the proposed SOFM has a time-invariant adaptationgain and adds a binary reinforcement function in order to compensate for the lowered abilityof SOFM due to the constant adaptation gain. Since the proposed algorithm has no multiplication operation.it is much easier to implement than the original SOFM. Since a unit neuron is composed of 1adde $r_tracter and 2 adders, its structure is simple, and thus the number of neurons fabricated onFPGA is expected to he large. In addition, a few control signal: ;:rp sufficient for controlling !he neurons.Experimental results show that each componeni ot thi inipiemented neural network operates correctlyand the whole system also works well.stem also works well.

• Journal of Korea Game Society
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• v.10 no.3
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• pp.47-59
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• 2010

Differing from most of current studies which recognizing game item cash-trade as simple static system, this study approaches game item cash-trade as Complex Adaptive System through historical analysis. The item-trade is a complex phenomenon converging between cyber-economy and real-economy, and production and consumption process of game-item are evolving dynamically over time. The results are following: first, the early item-trade emerges in endogenously rather than results from purposed system designed by singular actor. Second, after the early item-trade, the trade system as a CAS which various voluntary actors(single user, factory, game company, user community, agency, etc.) participates in is self-organizing for trading safety and efficiency. Third, the complex adaptive item-trade system satisfies actor's needs interdependently and accelerate positive feedback powerfully. This study implies that purposeful control disregarding emergent adaptive item-trade system distorts system efficiency and can lead to unintended policy failure.

• Journal of the Korean Society for information Management
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• v.27 no.2
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• pp.61-74
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• 2010

The knowledge sharing in a knowledge management process is much affecting generation and distribution of knowledge. Especially, the knowledge distribution is being revitalized with the center of social media service like twitter and library service 2.0 in the knowledge-based IT (Information Technology) environment. The present research analyzed the structure and characteristics of a social network inside an organization that is growing like an organism through self-organization through tools for SNA (Social Network Analysis) and multiple regression analysis of independent variables such as 1) a relationship between social network's structure and knowledge sharing, 2) a relationship between structural holes and knowledge sharing influence of centrality, 3) a relationship between individual ability and knowledge sharing of information technology and work recognition.

• The KIPS Transactions:PartB
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• v.9B no.5
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• pp.635-642
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• 2002

There is a rapidly growing demand for the intellectualization of information technology. Especially, in the area of KDD (Knowledge Discovery in Database) which should make an optimal decision of finding knowledge from a large amount of data, the demand is enormous. A large volume of Knowledge Base should be efficiently managed for a more intellectual choice. This study is proposing a Hybrid SOM for an efficient search and renewal of knowledge base, which combines a self-study nerve network, Self-Organization Map with a probable distribution theory in order to get knowledge needed for decision-making management from the Knowledge Base. The efficient knowledge base management through this proposed method is carried out by a stimulation test. This test confirmed that the proposed Hybrid SOM can manage with efficiency Knowledge Base.

• Journal of the Korean Society of Systems Engineering
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• v.6 no.2
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• pp.47-57
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• 2010

Taylor and Ford in the 1910s led to the "scientific management" for the entire industry from the manufacturing spread of TQM Total Quality Management has been structured as a management efficiency, such as 6-Sigma techniques were developed. SW development also introduces the idea, such as CMMI and SPICE-based process management, management practices have evolved. However, in recent years to increase the knowledge of workers in the manufacturing process oriented management approach is under serious challenge. Business performance or productivity will be varied depending all motivation, human relationship, job involvement rather than simply putting a lot of time. Especially in the SW industry which is depending on human resource, Creativity should be limited in traditional management methods. Recently, Google and Apple, Cisco and global advanced companies adopt a human relationship management. Their productivity and creativity in product development has been successful by giving autonomy and motivation, enthusiasm and vision to tile employees. Human relationship management since the mid-1990s, appears as a new paradigm so called Agile process in the field of SW development. Agile processes emphasis on light, flexible and responding to changes immediately in the business environment step away from traditional management approach which is the heavy and complicated process. In this paper, agile project management concepts and practices which is applied to industry will be examined.

• Journal of Institute of Control, Robotics and Systems
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• v.17 no.1
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• pp.22-30
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• 2011

Plane detection is very important information for mission-critical of robot in 3D environment. A representative method of plane detection is Hough-transformation. Hough-transformation is robust to noise and makes the accurate plane detection possible. But it demands excessive memory and takes too much processing time. Iterative randomized Hough-transformation has been proposed to overcome these shortcomings. This method doesn't vote all data. It votes only one value of the randomly selected data into the Hough parameter space. This value calculated the value of the parameter of the shape that we want to extract. In Hough parameters space, it is possible to detect accurate plane through detection of repetitive maximum value. A common problem in these methods is that it requires too much computational cost and large number of memory space to find the distribution of mixed multiple planes in parameter space. In this paper, we detect multiple planes only via data sampling using Self Organizing Map method. It does not use conventional methods that include transforming to Hough parameter space, voting and repetitive plane extraction. And it improves the reliability of plane detection through division area searching and planarity evaluation. The proposed method is more accurate and faster than the conventional methods which is demonstrated the experiments in various conditions.