• 동의생리병리학회지
• /
• 제35권5호
• /
• pp.139-150
• /
• 2021

This paper examines whether the conceptual metaphor theory, which has been recently treated as important research topic in the field of cognitive linguistics, can be a new method that can promote the modernization of basic Korean medicine (KM) theory. In addition, the significance and potential of this study are reviewed by looking at Chinese research cases that applied this theory to Traditional Chinese Medicine theories and terminologies. The results are summarized as follows. From the viewpoint of metaphoric cognition, KM is a medicine that attempts to understand the human body (microcosm) through nature (great universe) by metaphorically projecting human experiences of nature on the human body based on the thought of correspondence between nature and human (天人相應). The language system of KM is based on a metaphor that extends our experience of nature to the human body, and an abundance of metaphors can be seen throughout the language of KM. Understanding and interpreting KM theories and terminologies from a metaphorical point of view allow us to understand the nature of KM theoretical key terms more deeply than now. And this understanding can help define and describe KM theoretical key terms and promote the modernization of KM theory research. In addition, various image schema that plays an important role in the metaphorical expansion of physical experience can be used for modeling KM theory. Research of KM theories and terminologies from a metaphorical point of view can serve as a bridge between traditional KM theory and modernization research, opening a new path to the modernization of basic KM theory in difficult situations.

• ETRI Journal
• /
• 제15권3_4호
• /
• pp.27-34
• /
• 1994

There have been traditional approaches to model radio propagation path loss mechanism both theoretically ad empirically. Theoretical approach is simple to explain and effective in certain cases. Empirical approach accommodates the terrain configuration and distance between base station and mobile unit along the propagation path only. In other words, it does not accommodate natural terrain configuration over a specific area. In this paper, we propose a spatial prediction technique for the mobile radio propagation path loss accommodating complete natural terrain configuration over a specific area. Statistical uncertainty analysis is also considered.

• 한국지반공학회지:지반
• /
• 제8권2호
• /
• pp.71-80
• /
• 1992

정규압밀점토의 거동을 예측하기 위한 새로운 구성방정식이 제안되었으며, 그 골격은 Roscoe 와 Poorooshasb의 증분응력-변형률이론의 기본개념에 근거를 두고있다. 비배수 조건에서의 유효응력경려폰t은 새로운 간극수압계수(C)를 이용하여 유도되었고, 여기 에서 간극수압계수는 표준화묀 간극수압과 응력의 관계에서 직선의 기울기로 표시된다. 비배 수 응력경로와 일정응력비경로(constant stress ratio path)를 따라 발생하는 응력의 증가량을 알게되면, 이때의 체적변형률은 간극비-대수평균 연직 응력(e-dnp) 관계의 선형 특성으로부 터 계산될 수 있다. 또한 Roscoe와 Burland의 수정 Cam-clay 이론에서 유도된 유동법칙(flow rule)을 적용하여 임의 응력점에서의 전단변형률을 예측할 수 있다.

• Fashion, Industry and Education
• /
• 제16권2호
• /
• pp.1-16
• /
• 2018

This study explored men's choice of fashion as a college major and, subsequently, a non-traditional career path. Such investigation is important to gain a better understanding of the motives and processes of selecting a non-traditional college major and subsequent career path. This research consulted several theoretical frameworks to guide the development of research questions and help interpret the findings of the study. Specifically, our study builds upon Holland's trait theory (1982), Gottfredson's (1981) circumscription theory, Farmer's (1985) model of career motivation, and Simpson's (2005) typology of men's non-traditional career entry. A qualitative method was used to explore men's experiences of selecting fashion as an academic major in college and deciding to pursue a career in the traditionally female-dominated field. Following the analysis of 22 individual interviews with male upperclassmen majoring in fashion, three topical areas emerged and we proposed a model of male students' path to a non-traditional college major. The model explains male students' dynamics of entering a non-traditional college major, the role of personal and social factors in the decision process as well as the role of future career orientation when choosing to study fashion as an academic major.

• 한국국방경영분석학회지
• /
• 제18권2호
• /
• pp.140-150
• /
• 1992

In this paper, we consider the shortest path problem of a Robot car moving in a workspace which consists of some obstacles. The motion of the Robot car is considered to have initial and final directions with some restrictions in the curvature of the path. At first we consider the problem in the case of having no obstacles and we give an analytical solution. Then wre present an algorithm to find a feasible path in the case of having obstacles and a method to improve this feasible path into a minimal path. Some computational results using Graph theory and Linear programming have been included.

• 한국정밀공학회지
• /
• 제17권11호
• /
• pp.69-74
• /
• 2000

Roughness of curved surfaces finished with flexible tools depends on the tool/work contact pressure and area. In this study, non-Hertzian closely conforming elastic contact theory is employed to analyze the tool/work contact and to generate a tool path producing a constant pressure at initial contact points. Finishing experiments on curved surfaced are conducted using the tool path. For comparison, curved surface finishing is also performed along the tool path producing a constant tool/work interference depth. It is demonstrated that the tool path of constant contact pressure improves the finished surface roughness.

• International Journal of Naval Architecture and Ocean Engineering
• /
• 제7권1호
• /
• pp.87-99
• /
• 2015

In recent years, the development of autonomous surface vehicles has been a field of increasing research interest. There are two major areas in this field: control theory and path planning. This study focuses on path planning, and two objectives are discussed: path planning for Unmanned Surface Vehicles (USVs) and implementation of path planning in a real map. In this paper, satellite thermal images are converted into binary images which are used as the maps for the Finite Angle $A^*$ algorithm ($FAA^*$), an advanced $A^*$ algorithm that is used to determine safer and suboptimal paths for USVs. To plan a collision-free path, the algorithm proposed in this article considers the dimensions of surface vehicles. Furthermore, the turning ability of a surface vehicle is also considered, and a constraint condition is introduced to improve the quality of the path planning algorithm, which makes the traveled path smoother. This study also shows a path planning experiment performed on a real satellite thermal image, and the path planning results can be used by an USV.

• International Journal of Naval Architecture and Ocean Engineering
• /
• 제12권1호
• /
• pp.832-842
• /
• 2020

The coordination control of multiple Underactuated Underwater Vehicles (UUVs) moving in three dimensional space is investigated in this paper. The coordinated path following control task is decomposed into two sub tasks, that is, path following control and coordination control. In the spatial curve path following control task, path following error dynamics is build in the Serret-Frenet coordinate frame. The virtual reference object can be chosen freely on the desired spatial path. Considering the speed of the UUV, the line-of-sight navigation is introduced to help the path following errors quickly converge to zero. In the coordination control sub task, the communication topology of multiple UUVs is described by the graph theory. The speed of each UUV is adjusted to achieve the coordination. The path following system and the coordination control system are viewed as the feedback connection system. Input-to-state stable of the coordinated path following system can be proved by small gain theorem. The simulation experiments can further demonstrate the good performance of the control method.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제16권8호
• /
• pp.2473-2489
• /
• 2022

Urban development has brought about the increasing saturation of urban traffic demand, and traffic congestion has become the primary problem in transportation. Roads are in a state of waiting in line or even congestion, which seriously affects people's enthusiasm and efficiency of travel. This paper mainly studies the discrete domain path planning method based on the flow data. Taking the traffic flow data based on the highway network structure as the research object, this paper uses the deep learning theory technology to complete the path weight determination process, optimizes the path planning algorithm, realizes the vehicle path planning application for the expressway, and carries on the deployment operation in the highway company. The path topology is constructed to transform the actual road information into abstract space that the machine can understand. An appropriate data structure is used for storage, and a path topology based on the modeling background of expressway is constructed to realize the mutual mapping between the two. Experiments show that the proposed method can further reduce the interpolation error, and the interpolation error in the case of random missing is smaller than that in the other two missing modes. In order to improve the real-time performance of vehicle path planning, the association features are selected, the path weights are calculated comprehensively, and the traditional path planning algorithm structure is optimized. It is of great significance for the sustainable development of cities.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제13권5호
• /
• pp.2277-2298
• /
• 2019

Adaptive learning in e-learning has garnered researchers' interest. In it, learning resources could be recommended automatically to achieve a personalized learning experience. There are various ways to realize it. One of the realistic ways is adaptive learning path recommendation, in which learning resources are provided according to learners' requirements. This paper summarizes existing works and proposes an innovative approach. Firstly, a learner-centred concept map is created using graph theory based on the features of the learners and concepts. Then, the approach generates a linear concept sequence from the concept map using the proposed traversal algorithm. Finally, Learning Objects (LOs), which are the smallest concrete units that make up a learning path, are organized based on the concept sequences. In order to realize this step, we model it as a multi-objective combinatorial optimization problem, and an improved immune algorithm (IIA) is proposed to solve it. In the experimental stage, a series of simulated experiments are conducted on nine datasets with different levels of complexity. The results show that the proposed algorithm increases the computational efficiency and effectiveness. Moreover, an empirical study is carried out to validate the proposed approach from a pedagogical view. Compared with a self-selection based approach and the other evolutionary algorithm based approaches, the proposed approach produces better outcomes in terms of learners' homework, final exam grades and satisfaction.