• Title/Summary/Keyword: Space Convergence

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Generalized Hough Transform using Internal Gradient Information (내부 그레디언트 정보를 이용한 일반화된 허프변환)

  • Chang, Ji Young
    • Journal of Convergence for Information Technology
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    • v.7 no.3
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    • pp.73-81
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    • 2017
  • The generalized Hough transform (GHough) is a useful technique for detecting and locating 2-D model. However, GHough requires a 4-D parameter array and a large amount of time to detect objects of unknown scale and orientation because it enumerates all possible parameter values into a 4-D parameter space. Several n-to-1 mapping algorithms were proposed to reduce the parameter space from 4-D to 2-D. However, these algorithms are very likely to fail due to the random votes cast into the 2-D parameter space. This paper proposes to use internal gradient information in addition to the model boundary points to reduce the number of random votes cast into 2-D parameter space. Experimental result shows that our proposed method can reduce both the number of random votes cast into the parameter space and the execution time effectively.

Search for Movement Program for Recovery of Patient Using Cancer Center (암 센터 이용 환자의 회복을 위한 움직임 프로그램 탐색)

  • Jeon, Sang-Wan;Yi, Eun-Surk
    • Journal of the Korea Convergence Society
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    • v.9 no.9
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    • pp.353-362
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    • 2018
  • The purpose of this study is to suggest a professional consensus on the topics that should be dealt with importantly in the movement program for the recovery of cancer patients in Korea. As a result of calculating the importance of the finalized movement program component, First, the opinions about the environment for the promotion of movement were suggested as pleasant facilities, natural lighting, rest room space, facilities aspect of environment friendly space, education about diseases, participation programs, health feedback, information handouts. Second, the opinions on the purpose of the movement program were suggested to promote prevention and early screening of cancer, education, sharing effective treatment methods of cancer patients, cognitive aspect and psychological support for accurate information transmission, stress relief, and improvement of quality of life. Third, the opinions on the consideration of the movement program suggested stress relieving, cancer patient's needs, correct information delivery, quality of life, and participation of cancer patients. Fourth, the problems of the movement program were presented with different physical characteristics, physical inconvenience, the patient side of passive participation, space narrowness and lack, space aspect of program exclusive space etc.

Differences of Fun and Immersion according to Game User Interfaces in the Virtual Space (게임의 가상공간 환경에서 사용자 인터페이스 속성에 따른 재미와 몰입감 차이)

  • Kim, Ki-Yoon;Lee, Ju-Hwan
    • Journal of Digital Contents Society
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    • v.18 no.8
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    • pp.1489-1494
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    • 2017
  • The purpose of this study is to investigate the limitations of virtual space game contents staying in the first-person viewpoint in the field of digital games with various genres through precedent researches and case studies, and to investigate the differences of immersion, presence, and fun based on the user interfaces, such as the viewpoints (first-person, third-person) and haptic feedback. The experimental results show that when the game is the first-person with the haptic feedback, the immersion, presence, and fun increase. However, the interaction effect between the virtual space environment and the game viewpoint was not found. As a result, it is appropriate to use the haptic feedback and the first-person viewpoint in the virtual reality games, but the fact that the game viewpoints and the virtual space environment are not huge relevant, and the third-person viewpoint is more popular than first-person viewpoint game, therefore the possibility of a third-person viewpoint game would be suggested.

A Case Study on the Revitalization for Public Open Space of Mixed-use Residential Building in Busan City : Focused on 'Kyungsung Univ.·Bukyung Nat'l Univ. Station'-area (도시 내 주상복합건축물의 공개공지 활성화를 위한 사례연구 - 부산시 '경성대·부경대역' 일대를 중심으로 -)

  • Choi, Kang-Rim
    • Journal of the Korea Convergence Society
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    • v.13 no.3
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    • pp.163-172
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    • 2022
  • The purpose of this study is to present implications in the planning and design methodology for revitalization of public spaces for mixed-use residential building. For the purpose, I have taken a literature research and a site analysis with cases of 'Kyungsung Univ.·Bukyung Nat'l Univ. Station'-area in Busan City. The analysis framework was consist of spatial composition, street facilities, use behavior, and connection with the street. The result of this study is as follows; 1) It is needed to consist of an empty space practically usable in an open location that is easy to access by the general public. 2) Considering the use of people, it is needed to install street furniture that can actually be used for rest. 3) It is needed to make a plan and design that considers the access and use of the general public and the space through it. 4) It is needed to create a synergistic effect in the integration of the street and the public space and the linkage with the street through this.

MODIFIED HALPERN ITERATIVE ALGORITHMS FOR NONEXPANSIVE MAPPINGS

  • Sangago, Mengistu Goa
    • Journal of applied mathematics & informatics
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    • v.29 no.5_6
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    • pp.1363-1379
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    • 2011
  • Halpern iterative algorithm is one of the most cited in the literature of approximation of fixed points of nonexpansive mappings. Different authors modified this iterative algorithm in Banach spaces to approximate fixed points of nonexpansive mappings. One of which is Hu [8] and Yao et al [21] modification of Halpern iterative algorithm for nonexpansive mappings in Banach spaces. It is the purpose of this paper to thoroughly analyze this modification and its convergence conditions. Unfortunately, Hu [8] and Yao et al [21] control conditions imposed on the modified Halpern iterative algorithm to have strong convergence are found to be not sufficient. In this paper, counterexamples are constructed to prove that the strong convergence conditions of Hu [8] and Yao et al [21] are not sufficient. It is also proved that with some additional conditions on the control parameters, strong convergence of the defined iterative algorithm is obtained in different Banach space settings.

An Improved Element Removal Method for Evolutionary Structural Optimization

  • Han, Seog-Young
    • Journal of Mechanical Science and Technology
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    • v.14 no.9
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    • pp.913-919
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    • 2000
  • The purpose of this study was to develop a new element removal method for ESO (Evolutionary Structural Optimization), which is one of the topology optimization methods. ESO starts with the maximum allowable design space and the optimal topology emerges by a process of removal of lowly stressed elements. The element removal ratio of ESO is fixed throughout topology optimization at 1 or 2%. BESO (bidirectional ESO) starts with either the least number of elements connecting the loads to the supports, or an initial design domain that fits within the maximum allowable domain, and the optimal topology evolves by adding or subtracting elements. But the convergence rate of BESO is also very slow. In this paper, a new element removal method for ESO was developed for improvement of the convergence rate. Then it was applied to the same problems as those in papers published previously. From the results, it was verified that the convergence rate was significantly improved compared with ESO as well as BESO.

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FUNCTIONS ON κ-NET CONVERGENCE STRUCTURES

  • Cho, Myung Hyun;Kim, Junhui;Moon, Mi Ae
    • Honam Mathematical Journal
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    • v.36 no.3
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    • pp.669-678
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    • 2014
  • We investigate various properties of ${\kappa}$-net convergence structures and define a ${\kappa}$-net-based continuous function on ${\kappa}$-net $\mathcal{L}^+$-convergence structures, and study relationships between continuity and ${\kappa}$-net-based continuity on ${\kappa}$-net $\mathcal{L}^+$-convergence structures. We also provide some characterizations of ${\kappa}$-net-based continuity.

Derivative Evaluation and Conditional Random Selection for Accelerating Genetic Algorithms

  • Jung, Sung-Hoon
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.5 no.1
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    • pp.21-28
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    • 2005
  • This paper proposes a new method for accelerating the search speed of genetic algorithms by taking derivative evaluation and conditional random selection into account in their evolution process. Derivative evaluation makes genetic algorithms focus on the individuals whose fitness is rapidly increased. This accelerates the search speed of genetic algorithms by enhancing exploitation like steepest descent methods but also increases the possibility of a premature convergence that means most individuals after a few generations approach to local optima. On the other hand, derivative evaluation under a premature convergence helps genetic algorithms escape the local optima by enhancing exploration. If GAs fall into a premature convergence, random selection is used in order to help escaping local optimum, but its effects are not large. We experimented our method with one combinatorial problem and five complex function optimization problems. Experimental results showed that our method was superior to the simple genetic algorithm especially when the search space is large.

Parameter Estimation of Recurrent Neural Equalizers Using the Derivative-Free Kalman Filter

  • Kwon, Oh-Shin
    • Journal of information and communication convergence engineering
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    • v.8 no.3
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    • pp.267-272
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    • 2010
  • For the last decade, recurrent neural networks (RNNs) have been commonly applied to communications channel equalization. The major problems of gradient-based learning techniques, employed to train recurrent neural networks are slow convergence rates and long training sequences. In high-speed communications system, short training symbols and fast convergence speed are essentially required. In this paper, the derivative-free Kalman filter, so called the unscented Kalman filter (UKF), for training a fully connected RNN is presented in a state-space formulation of the system. The main features of the proposed recurrent neural equalizer are fast convergence speed and good performance using relatively short training symbols without the derivative computation. Through experiments of nonlinear channel equalization, the performance of the RNN with a derivative-free Kalman filter is evaluated.

CONVERGENCE THEOREMS FOR TWO FAMILIES OF WEAK RELATIVELY NONEXPANSIVE MAPPINGS AND A FAMILY OF EQUILIBRIUM PROBLEMS

  • Zhang, Xin;Su, Yongfu
    • Communications of the Korean Mathematical Society
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    • v.25 no.4
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    • pp.583-607
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    • 2010
  • The purpose of this paper is to prove strong convergence theorems for common fixed points of two families of weak relatively nonexpansive mappings and a family of equilibrium problems by a new monotone hybrid method in Banach spaces. Because the hybrid method presented in this paper is monotone, so that the method of the proof is different from the original one. We shall give an example which is weak relatively nonexpansive mapping but not relatively nonexpansive mapping in Banach space $l^2$. Our results improve and extend the corresponding results announced in [W. Takahashi and K. Zembayashi, Strong convergence theorem by a new hybrid method for equilibrium problems and relatively nonexpansive mappings, Fixed Point Theory Appl. (2008), Article ID 528476, 11 pages; doi:10.1155/2008/528476] and [Y. Su, Z. Wang, and H. Xu, Strong convergence theorems for a common fixed point of two hemi-relatively nonexpansive mappings, Nonlinear Anal. 71 (2009), no. 11, 5616?5628] and some other papers.