• 한국주거학회논문집
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• 제26권2호
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• pp.81-88
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• 2015

The purpose of this study was to investigate the possibility of applying the planning characteristics of Neowa houses to contemporary residential structures. Contrary to the popular assumption that traditional Korean houses have decentralized plans, local building traditions observed in Neowa houses show that the diversity among hanoks allows the incorporation of traditional spatial organization into the contemporary residences. By analyzing the spatial organization of Neowa houses, three advantageous planning characteristics were found. First, the presence of indoor wooden floors (maru or daechung) as well as outdoor wooden floors in Neowa houses is practical for Korea's weather marked by humid summers and icy winters. Secondly, the internal orientation of space in Neowa houses is more appropriate in the contemporary context of a highly urbanized society emphasizing family privacy. Thirdly, the flexibility and interchangeability of interior elements can be applied to improve efficiency. By applying the aforementioned characteristics, this study suggests ways to adopt traditional features to improve contemporary residences.

• 산업공학
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• 제13권1호
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• pp.29-36
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• 2000

Many organizations have applied the traditional Information Strategy Planning methodologies to planning knowledge management. This approach, however, cannot sufficiently realize the strategic value of various kinds of knowledge. To overcome above problems, this research classifies knowledge according to its features and identifies characteristics of each knowledge category. And then, structured Knowledge Strategy Planning methodology, $P^2-KSP$, is proposed. With $P^2-KSP$, an organization can identify organizational knowledge and develop KM architecture from both perspectives of the performance measurement system and business processes.

• International Journal of Aeronautical and Space Sciences
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• 제11권2호
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• pp.136-144
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• 2010

This paper presents an algorithm for planning waypoints for the operation of a surveillance mission using cooperative unmanned aerial vehicles (UAVs) in a given map. This algorithm is rather simple and intuitive; therefore, this algorithm is easily applied to actual scenarios as well as easily handled by operators. It is assumed that UAVs do not possess complete information about targets; therefore, kinematics, intelligence, and so forth of the targets are not considered when the algorithm is in operation. This assumption is reasonable since the algorithm is solely focused on a surveillance mission. Various parameters are introduced to make the algorithm flexible and adjustable. They are related to various cost functions, which is the main idea of this algorithm. These cost functions consist of certainty of map, waypoints of co-worker UAVs, their own current positions, and a level of interest. Each cost function is formed by simple and intuitive equations, and features are handled using the aforementioned parameters.

• 로봇학회논문지
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• 제1권2호
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• pp.107-116
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• 2006

We propose a planning algorithm to automatically generate a robust behavior plan (RBP) with which mobile robots can achieve their task goal from any initial states under dynamically changing environments. For this, task description space (TDS) is formulated, where a redundant task configuration space and simulation model of physical space are employed. Successful task episodes are collected, where $A^*$ algorithm is employed. Interesting TDS state vectors are extracted, where occurrence frequency is used. Clusters of TDS state vectors are found by using state transition tuples and features of state transition tuples. From these operations, characteristics of successfully performed tasks by a simulator are abstracted and generalized. Then, a robust behavior plan is constructed as an ordered tree structure, where nodes of the tree are represented by attentive TDS state vector of each cluster. The validity of our method is tested by real robot's experimentation for a box-pushing-into-a-goal task.

• 한국조경학회:학술대회논문집
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• 한국조경학회 2007년도 Journal of Landscape Architecture in Asia Vol.3
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• pp.19-29
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• 2007

The making of mountains and waters are recognized as essential to traditional Chinese landscapes and it is this concept that guided the Beijing Olympic Landscape, "Axis to Nature". The Olympic landscape extends the central axis of Beijing north until it is punctuated by the Forest Park Hill and dissipated by Forest Park Lake. Traditional landscape gardens, paintings, and poetry were researched and the plan assessed by eminent scholars and experts to conceive and construct an ecological park that features unique design and traditional Chinese landscape art.

• 로봇학회논문지
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• 제19권2호
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• pp.196-202
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• 2024

The ability to understand given environments and plan a sequence of actions leading to goal state is crucial for personal service robots. With recent advancements in deep learning, numerous studies have proposed methods for state representation in planning. However, previous works lack explicit information about relationships between objects when the state observation is converted to a single visual embedding containing all state information. In this paper, we introduce graph-based state representation that incorporates both object and relationship features. To leverage these advantages in addressing the task planning problem, we propose a Graph Neural Network (GNN)-based subgoal prediction model. This model can extract rich information about object and their interconnected relationships from given state graph. Moreover, a search-based algorithm is integrated with pre-trained subgoal prediction model and state transition module to explore diverse states and find proper sequence of subgoals. The proposed method is trained with synthetic task dataset collected in simulation environment, demonstrating a higher success rate with fewer additional searches compared to baseline methods.

• 한국환경독성학회:학술대회논문집
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• 한국환경독성학회 2001년도 추계심포지움 및 학술발표회:환경오염의 생체지표를 이용한 위해성 평가의 최근 기법
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• pp.87-87
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• 2001

• 한국수학교육학회지시리즈D:수학교육연구
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• 제5권2호
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• pp.119-126
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• 2001

In this paper we deal with two questions: 1) How have prospective teachers reflected mathematics curriculum reform in their planning of mathematics lessons\ulcorner 2) To what extent were the pre-service teachers able to be reflective about their planning of mathematics lessons\ulcorner Form analyses of videotapes, field notes, discussions among the college students, we found four features in the prospective teacher\\`s lesson plans and their teaching.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 1991년도 춘계학술대회 논문집
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• pp.309-315
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• 1991

This paper presents a method for automatic part feature recognition from the database of AutoCAD system for automatic process planning input. The parts considered in this study are primastic parts composed of faces perpendicular to the X, Y, Z axes and the types of features considered are through steps, blind steps, through slots, blind slots, and pockets. Features are recognized by using the concept of convex points and concave points. The software program is coded by using Turbo Pascal on the IBM PC/AT.

• Nuclear Engineering and Technology
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• 제55권6호
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• pp.2246-2255
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• 2023

Evacuation time estimation (ETE) is crucial for the effective implementation of resident protection measures as well as planning, owing to its applicability to nuclear emergencies. However, as confirmed in the Fukushima case, the ETE performed by nuclear operators does not reflect behavioral features, exposing thus, gaps that are likely to appear in real-world situations. Existing research methods including surveys and interviews have limitations in extracting highly feasible behavioral features. To overcome these limitations, we propose a VR-based immersive experiment system. The VR system realistically simulates nuclear emergencies by structuring existing disasters and human decision processes in response to the disasters. Evacuation behavioral features were quantitatively extracted through the proposed experiment system, and this system was systematically verified by statistical analysis and a comparative study of experimental results based on previous research. In addition, as part of future work, an application method that can simulate multi-level evacuation dynamics was proposed. The proposed experiment system is significant in presenting an innovative methodology for quantitatively extracting human behavioral features that have not been comprehensively studied in evacuation. It is expected that more realistic evacuation behavioral features can be collected through additional experiments and studies of various evacuation factors in the future.