• Title/Summary/Keyword: theory of generation

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Always Learning from Each Other: Cultural Identity Development in Two Generations of Korean Immigrant Fathers

  • Kwon, Young-In;Roy, Kevin M.
    • International Journal of Human Ecology
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    • v.13 no.1
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    • pp.89-103
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    • 2012
  • Using a life course framework, we compare and contrast the processes of acculturation for first- and second-generation Korean immigrant fathers in the United States. In-depth life history interviews were conducted with 20 first-generation and 15 second-generation fathers in the Midwest. With a modified grounded theory approach of constant comparison, we first explored how these fathers developed their identities in the midst of cultural and social transitions. These men's identity construction was shaped by socio-economic statuses and accessibility to cultural resources, with a marked shift over time toward integration of Korean and American identities. We then examined how these identities informed the men's socialization of their children, and the children's socialization of their parents.

Feedforward Input Signal Generation for MIMO Nonminimum Phase Autonomous System Using Iterative Learning Method (반복학습에 의한 MIMO Nonminimum Phase 자율주행 System의 Feedforward 입력신호 생성에 관한 연구)

  • Kim, Kyongsoo
    • Journal of the Korea Institute of Military Science and Technology
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    • v.21 no.2
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    • pp.204-210
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    • 2018
  • As the 4th industrial revolution and artificial intelligence technology develop, it is expected that there will be a revolutionary changes in the security robot. However, artificial intelligence system requires enormous hardwares for tremendous computing loads, and there are many challenges that need to be addressed more technologically. This paper introduces precise tracking control technique of autonomous system that need to move repetitive paths for security purpose. The input feedforward signal is generated by using the inverse based iterative learning control theory for the 2 input 2 output nonminimum-phase system which was difficult to overcome by the conventional feedback control system. The simulation results of the input signal generation and precision tracking of given path corresponding to the repetition rate of extreme, such as bandwidth of the system, shows the efficacy of suggested techniques and possibility to be used in military security purposes.

Orbital Dungeon Generation: A Method for Creating Dungeons Quickly and Dynamically

  • Udjaja, Yogi
    • Journal of information and communication convergence engineering
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    • v.20 no.1
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    • pp.41-48
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    • 2022
  • With the development of technology, the procedures for making systems are altered. Jobs that were initially difficult with technology have become easier. Likewise with work as a developer. In this era, it takes work that can be done quickly, precisely, and accurately. Inspired by the Copernicus' theory that the sun is the center of the solar system, this research aims to create a plugin that is integrated with the Unity game engine so that it can create dungeons quickly and dynamically using the orbital dungeon generation method. In general, games that have several dungeons are role playing games genre with the roguelike subgenre, where games of this type are widely adopted by well-known games. This method is expected to be employed by developers, especially game developers, to simplify and speed up the creation of games using dungeons, because the complexity of the system that is made can be adjusted according to needs.

Generation of Realistic Terrain Based on LOD Simplification and Fractal

  • Min, Hu;Zhen, Wang
    • International Journal of CAD/CAM
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    • v.8 no.1
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    • pp.37-40
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    • 2009
  • Based on the study of Digital Elevation Simplification Model and fractal theory, this paper put forward a new method to simulate complex terrain. That use simplified DEM data to construct terrain frame based on the quad tree at first, and then use fractal to generate the details of every node of the tree. In the process of construction, the LOD theory is used to simplify the terrain and get its typical data. According to the change of view position and direction, the paper gives a new way to judge the visibility of the surface patch. Experimental results show that this algorithm is simple, efficient and supports the real time dynamic simulation of terrain model.

Integrated Generation and Transmission Expansion Planning Using Generalized Bender’s Decomposition Method

  • Kim, Hyoungtae;Lee, Sungwoo;Kim, Wook
    • Journal of Electrical Engineering and Technology
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    • v.10 no.6
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    • pp.2228-2239
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    • 2015
  • A novel integrated optimization method based on the Generalized Bender’s Decomposition (GBD) is proposed to combine both generation and transmission expansion problems. Most of existing researches on the integrated expansion planning based on the GBD theory incorporate DC power flow model to guarantee the convergence and improve the computation time. Inherently the GBD algorithm based on DC power flow model cannot consider variables and constraints related bus voltages and reactive power. In this paper, an integrated optimization method using the GBD algorithm based on a linearized AC power flow model is proposed to resolve aforementioned drawback. The proposed method has been successfully applied to Garver’s six-bus system and the IEEE 30-bus system which are frequently used power systems for transmission expansion planning studies.

A study on the tracking control of load pressure in electrohydraulic servosystem using sliding mode (슬라이딩모드를 이용한 유압서보시스템의 부하압력추종제어에 관한 연구)

  • 이교일;김학성
    • 제어로봇시스템학회:학술대회논문집
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    • 1990.10a
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    • pp.687-692
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    • 1990
  • The purpose of this study is ID form the required force for measurements of the performances of the equipments or testpieces. For the generation of the required force, ft difference of pressures in each chamber of the hydraulic cylinder was controlled and Variable Structure Control theory was adopted to control it. Besides, observers -Luenberger Observer and nonlinear Variable Structure Observer - were designed to estimate the derivative of the load pressure which is necessary ID determine the sliding surface in VSC theory. As a consequence of the computer simulation, it was shown that VSC had better performance than classical control theory(P, PD control) and VSO performed better than the Luenberger Observer at the load pressure control.

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Nonlinear evolution of the relativistic Weibel instability driven by anisotropic temperature

  • Kaang, Helen H.;Mo, Chang
    • Bulletin of the Korean Space Science Society
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    • 2009.10a
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    • pp.34.2-34.2
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    • 2009
  • The relativistic Weibel instability has drawn attention as a main mechanism of the magnetic generation in the core of galaxies or in the formation of universe. The Weibel instability is not yet fully understood in the relativistic region. We investigated nonlinear saturation and decay of the relativistic Weibel instability. It is found that the early phase of the instability is in excellent agreement with the linear theory. But, an analysis based on an alternative magnetic trapping saturation theory reveals that a substantial discrepancy between the theory and simulation is revealed in the relativistic regime in contrast to an excellent agreement in the non-relativistic regime. The analysis of the Weibel instability beyond the quasilinear saturation stage shows an inverse cascade process via a nonlinear decay instability involving electrostatic fluctuation.

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Design and Implementation of Trip Generation Model Using the Bayesian Networks (베이지안 망을 이용한 통행발생 모형의 설계 및 구축)

  • Kim, Hyun-Gi;Lee, Sang-Min;Kim, Kang-Soo
    • Journal of Korean Society of Transportation
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    • v.22 no.7 s.78
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    • pp.79-90
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    • 2004
  • In this study, we applied the Bayesian Networks for the case of the trip generation models using the Seoul metropolitan area's house trip survey Data. The household income was used for the independent variable for the explanation of household size and the number of cars in a household, and the relationships between the trip generation and the households' social characteristics were identified by the Bayesian Networks. Furthermore, trip generation's characteristics such as the household income, household size and the number of cars in a household were also used for explanatory variables and the trip generation model was developed. It was found that the Bayesian Networks were useful tool to overcome the problems which were in the traditional trip generation models. In particular the various transport policies could be evaluated in the very short time by the established relationships. It is expected that the Bayesian Networks will be utilized as the important tools for the analysis of trip patterns.

Using Text Network Analysis for Analyzing Academic Papers in Nursing (간호학 학술논문의 주제 분석을 위한 텍스트네크워크분석방법 활용)

  • Park, Chan Sook
    • Perspectives in Nursing Science
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    • v.16 no.1
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    • pp.12-24
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    • 2019
  • Purpose: This study examined the suitability of using text network analysis (TNA) methodology for topic analysis of academic papers related to nursing. Methods: TNA background theories, software programs, and research processes have been described in this paper. Additionally, the research methodology that applied TNA to the topic analysis of the academic nursing papers was analyzed. Results: As background theories for the study, we explained information theory, word co-occurrence analysis, graph theory, network theory, and social network analysis. The TNA procedure was described as follows: 1) collection of academic articles, 2) text extraction, 3) preprocessing, 4) generation of word co-occurrence matrices, 5) social network analysis, and 6) interpretation and discussion. Conclusion: TNA using author-keywords has several advantages. It can utilize recognized terms such as MeSH headings or terms chosen by professionals, and it saves time and effort. Additionally, the study emphasizes the necessity of developing a sophisticated research design that explores nursing research trends in a multidimensional method by applying TNA methodology.

Game Theory-Based Scheme for Optimizing Energy and Latency in LEO Satellite-Multi-access Edge Computing

  • Ducsun Lim;Dongkyun Lim
    • International journal of advanced smart convergence
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    • v.13 no.2
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    • pp.7-15
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    • 2024
  • 6G network technology represents the next generation of communications, supporting high-speed connectivity, ultra-low latency, and integration with cutting-edge technologies, such as the Internet of Things (IoT), virtual reality, and autonomous vehicles. These advancements promise to drive transformative changes in digital society. However, as technology progresses, the demand for efficient data transmission and energy management between smart devices and network equipment also intensifies. A significant challenge within 6G networks is the optimization of interactions between satellites and smart devices. This study addresses this issue by introducing a new game theory-based technique aimed at minimizing system-wide energy consumption and latency. The proposed technique reduces the processing load on smart devices and optimizes the offloading decision ratio to effectively utilize the resources of Low-Earth Orbit (LEO) satellites. Simulation results demonstrate that the proposed technique achieves a 30% reduction in energy consumption and a 40% improvement in latency compared to existing methods, thereby significantly enhancing performance.