• Title/Summary/Keyword: Realistic Problem

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Efficient mesh-based realistic computer-generated hologram synthesis with polygon resolution adjustment

  • Yeom, Han-Ju;Cheon, Sanghoon;Choi, Kyunghee;Park, Joongki
    • ETRI Journal
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    • v.44 no.1
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    • pp.85-93
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    • 2022
  • We propose an efficient method for synthesizing mesh-based realistic computer-generated hologram (CGH). In a previous nonanalytic mesh-based CGH synthesis, the angular spectrum of the two-dimensional (2D) plane is calculated using the fast Fourier transform (FFT) with the same size as the resolution of the final hologram. Because FFT increases the computation time as the size of the input matrix increases, the previous method has a problem: The higher the resolution of the hologram, the greater the computational load, thereby delaying synthesis time. In this study, when calculating the angular spectrum of the 2D plane in mesh-based CGH synthesis, we propose a method to calculate the angular spectrum by defining the 2D plane with an arbitrary size smaller than the resolution of the final hologram. The resolution adjustment method reduces the computation time and can be applied to occlusion culling and texturing for the realistic effect of mesh-based CGH. We describe the principle, error analysis, application of realistic effect, and experimental results of the proposed method.

Effect of Mathematising Learning Using Realistic Context on the Children's Mathematical Thinking (현실적 맥락을 활용한 수학화 학습이 아동의 수학적 사고에 미치는 효과 -초등학교 5학년 도형 영역을 중심으로-)

  • Kim, Yoo-Jin
    • Journal of Elementary Mathematics Education in Korea
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    • v.11 no.2
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    • pp.99-115
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    • 2007
  • The purpose of this study was to look into whether this mathematising learning utilizing realistic context has an effect on the mathematical thinking. To solve the above problem, two 5th grade classes of D Elementary School in Seoul were selected for performing necessary experiments with one class designated as an experimental group and the other class as a comparative group. Throughout 17 times for six weeks, the comparative group was educated with general mathematics learning by mathematics and "mathematics practices," while the experimental group was taught mainly with mathematising learning using realistic context. As a result, to start with, in case of the experimental group that conducted the mathematising learning utilizing realistic coherence, in the analogical and developmental thoughts which are mathematical thoughts related to the methods of mathematics, in the thinking of expression and the one of basic character which are mathematical thoughts related to the contents of mathematics, and in the thinking of operation, the average points were improved more than the comparative group, also having statistically significant differences. The study suggested that it is necessary to conduct subsequent studies that can verify by expanding to each grade, sex and region, develop teaching methods suitably to the other content domains and purposes of figures, and demonstrate the effects. In addition to those, evaluation tools which can evaluate the mathematical thinking processes of children appropriately and in more diversified methods will have to be developed. Furthermore, in order to maximize mathematising for each group in each mathematising process, it would be necessary to make efforts for further developing realistic problem situations, works and work sheets, which are adequate to the characteristics of the upper and lower groups.

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FMS scheduling through artificial neural network (인공 뉴럴 네트워크에 의한 FMS 일정관리)

  • 양정문;문기주;김정자
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.18 no.34
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    • pp.99-106
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    • 1995
  • Recently, neural network is recognized as a new approach to solve jobshop scheduling problems in manufacturing system. Scheduling problem is known to be a difficult combinational explosive problem with domain-dependence variations in general. In addition, the needs to achieve a good performance in flexible manufacturing system increase the dimensions of decision complexity. Therefore, mathematical approach to solve realistic problems could be failed to find optimal or optimal-trending. In this paper a technique with neural network for jobs grouping by job-attributes and Gaussian machine network for generating to near-optimal sequence is presented.

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Univector Field Method based Multi-Agent Navigation for Pursuit Problem

  • Viet, Hoang Huu;An, Sang-Hyeok;Chung, Tae-Choong
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.12 no.1
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    • pp.86-93
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    • 2012
  • This paper presents a new approach to solve the pursuit problem based on a univector field method. In our proposed method, a set of eight agents works together instantaneously to find suitable moving directions and follow the univector field to pursue and capture a prey agent by surrounding it from eight directions in an infinite grid-world. In addition, a set of strategies is proposed to make the pursuit problem more realistic in the real world environment. This is a general approach, and it can be extended for an environment that contains static or moving obstacles. Experimental results show that our proposed algorithm is effective for the pursuit problem.

A Heuristic for Parallel Machine Scheduling with Due Dates and Ready Times (납기와 조립가능 시점을 고려한 병렬기계의 스케쥴링을 위한 발견적 해법)

  • 이동현;이경근;김재균;박창권;장길상
    • Journal of the Korean Operations Research and Management Science Society
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    • v.25 no.2
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    • pp.47-57
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    • 2000
  • In this paper we consider an n-job non-preemptive and identical parallel machine scheduling problem of minimizing the sum of earliness and tardiness with different release times and due dates. In the real world this problem is more realistic than the problems that release times equal to zero or due dates are common. The problem is proved to be NP-complete. Thus a heuristic is developed to solve this problem To illustrate its suitability a proposed heuristic is compared with a genetic algorithm for a large number of randomly generated test problems. Computational results show the effectiveness and efficiency of proposed heuristic. In summary the proposed heuristic provides good solutions than genetic algorithm when the problem size is large.

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Finite-element Method for Heat Transfer Problem in Hydrodynamic Lubrication

  • Kwang-June,Bai
    • Bulletin of the Society of Naval Architects of Korea
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    • v.19 no.4
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    • pp.19-29
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    • 1982
  • Galerkin's finite element method is applied to a two-dimensional heat convection-diffusion problem arising in the hydrodynamic lubrication of thrust bearings used in naval vessels. A parabolized thermal energy equation for the lubricant, and thermal diffusion equations for both bearing pad and the collar are treated together, with proper juncture conditions on the interface boundaries. it has been known that a numerical instability arises when the classical Galerkin's method, which is equivalent to a centered difference approximation, is applied to a parabolic-type partial differential equation. Probably the simplest remedy for this instability is to use a one-sided finite difference formula for the first derivative term in the finite difference method. However, in the present coupled heat convection-diffusion problem in which the governing equation is parabolized in a subdomain(Lubricant), uniformly stable numerical solutions for a wide range of the Peclet number are obtained in the numerical test based on Galerkin's classical finite element method. In the present numerical convergence errors in several error norms are presented in the first model problem. Additional numerical results for a more realistic bearing lubrication problem are presented for a second numerical model.

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Kinematic and Kinetic Analysis of the Soft Golf Swing using Realistic 3D Modeling Based on 3D Motion Tracking

  • Kim, Yong-Yook;Kim, Sung-Hyun;Kim, Nam-Gyun
    • Journal of Biomedical Engineering Research
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    • v.28 no.6
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    • pp.744-749
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    • 2007
  • Kinematic and kinetic analysis has been performed for Soft Golf swings utilizing realistic three dimensional computer simulations based on three dimensional motion tracking data. Soft Golf is a newly developed recreational sport in South Korea aimed to become a safe and easy-to-learn sport for all ages. The advantage of Soft Golf stems from lighter weight of the club and much larger area of the sweet spot. This paper tries to look into kinematic and kinetic aspects of soft golf swings compared to regular golf swing and find the advantages of lighter Soft Golf clubs. For this purpose, swing motions of older aged participants were captured and kinematic analysis was performed for various kinematic parameters such as club head velocity, joint angular velocity, and joint range of motions as a pilot study. Kinetic analysis was performed by applying kinematic data to computer simulation models constructed from anthropometric database and the measurements from the participants. The simulations were solved using multi-body dynamics solver. Firstly, the kinematic parameters such as joint angles were obtained by solving inverse dynamics problem based on motion tracking data. Secondly, the kinetic parameters such as joint torques were obtained by solving control dynamics problem of making joint torque to follow pre-defined joint angle data. The results showed that mechanical loadings to major joints were reduced with lighter Soft Golf club.

A Q-Methodological Study on the Community Nursing Practice of Nursing Students (간호 학생의 지역사회간호 실습 경험에 대한 유형 분석 -Q방법론적 접근-)

  • Kim, Lee-Sun
    • Research in Community and Public Health Nursing
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    • v.8 no.1
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    • pp.133-143
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    • 1997
  • This study measures the subjectivity of nursing students' experience in community fields through community nursing practice. The purpose of this study is as follows: 1) to find out typologies based on opinions and attitudes toward community nursing practice. 2) to describe the characteristic of each type. 3) to provide alternative strategies for solving community nursing practice problems. A Q-Methodological method was used for that purpose. As a research method, Q-statements were collected through indepth interviews and review of the current literature. For this study 34 Q-statements were selected. 24 nursing students were subjects for the research. The 24 nursing students sorted 34 Q-statements using the principle of Forced Normal Distribution. The principle of Forced Normal Distribution, which has nine scales to measure individual opinions, was called, a Q- Factor Analysis by using a PC Quanl Program to supply the material. According to the results of this study, there were three categories of opinion concerning community nursing practice. The first type is the realistic problem-oriented approach: the second type is the self-responsibility or pursuit of life meaning approach: the third type is the group approach for problem solving. As a result, we need to develop and revise a more realistic way of community nursing practice for nursing students. Finally, the result of this study will provide to the educational program alternative strategies for community nursing practice for nursing students.

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Optimization Model for Location Management in WCDMA Networks (WCDMA 네트워크에서의 일치관리 최적화 모형)

  • Chung, Yong-Joo
    • Korean Management Science Review
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    • v.26 no.3
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    • pp.23-35
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    • 2009
  • This study deals with the location management in WCDMA (Wideband Code Division Multiple Access) networks. The new location management method is the one of the many techniques used to provide the packet switched (PS) services effectively in WCDMA networks. WCDMA introduces RA (routing area) for the PS services in addition to LA (location area) for the circuit switched (CS) services. WCDMA system also adopts the cooperative paging and the combined area update which are to decrease signaling traffic using the PS network resources for the CS services. Considering the characteristics of the WCDMA networks, this study formulate into the mathematical programming problem for the location management. Rather than the existing researches which consider the single MSC/SGSN networks, we deal with the multi MSC/SGSN networks, where both MSC area and SGSN area should be determined as well. Fairness between traffic loads of MSC/SGSN and the system cost incurred to MSC/SGSN are also incorporated into our model, which make the model more realistic. We propose greedy algorithms for the problems, which consists of the merger of two neighboring areas and the movement of an area. Extensive experiment has been done based on the realistic problem examples. Followed by the analysis of parameter effect on the final solutions and the quality of final solutions obtained by our greedy algorithms. Our proposed model and analysis result can be used to determine WCDMA system areas and to predict the system performance measures by the determination.

A Study of Efficient Method of 3D JIG Kinematic Modeling for Automobile Process Simulation (자동차 공정 시뮬레이션의 3D 지그 키네마틱 정보 모델링을 위한 효율적 방법 연구)

  • Ko, Min-Suk;Kwak, Jong-Geun;Jo, Hee-Won;Park, Chang-Mok;Wang, Gi-Nam;Park, Sang-Cheul
    • Korean Journal of Computational Design and Engineering
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    • v.14 no.6
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    • pp.415-423
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    • 2009
  • Because of the fast changing car design and increasing facilities, manufacturing process of cars is getting more complex now a days. Particularly, car manufacturing system that consist of automated devices, applies various simulation techniques to validate device motion and detect collision. To cope with this problem, traditional manufacturing system deployed test-run with the real devices. However, increased computing power in a contemporary manufacturing system changes it into realistic 3D simulation environment. Similarly, managed device data that was generated using 2D traditionally, can be converted to 3D realistic simulation. The existing problem with 3D simulation is disjoint data interaction between different work stations. Consequently, JIGs, fixing the car part accurately, are changed according to fixing position on the part or a part shape properties. In practice, the 3D JIG data has to be managed according to kinematic information, but not of its features. However, generating kinematic information to the 3D model repeatedly according to frequent change in part is not explained in current literatures. To fill this knowledge gap, this paper suggests an improving method of rendering 3D JIG kinematics information to simulation model. Thereafter, it shows the result of implementation.