• Title/Summary/Keyword: multi-dimension

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Preference Analysis for the Pedestrian Space in Large-scale Residential Complex by Multi Dimensional Scaling -Focused on the Haeundae New town in Busan- (다차원 척도법을 이용한 대규모 주거단지 보행공간의 선호도 분석 -부산광역시 해운대 신시가지를 대상으로-)

  • Kim, Yu Jun;Kang, Youn Won;Kim, Jong Gu
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.34 no.1
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    • pp.333-340
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    • 2014
  • We analyzed pedestrian preference and features of preferential space by MDS (Multi Dimensional Scaling). As the result, features of pedestrian space in dimension 1 could be interpreted as "Segregation of Pedestrian and Vehicle", and features of pedestrian space in dimension 2 could be read like "Natural-City". And as a result of vector analysis about preferential of pedestrian, a pedestrian mall between housing complex, pedestrian space in pocket park, pedestrian space in neighborhood park, and pedestrian space around public facilities was the best preferential space. On the other hand, pedestrians tended to dislike pedestrian space between detached.

Simulation Study on the Thickness Uniformity of Thin Film Deposited on a Large-Size Substrate in Multi-Source Evaporation System (다중소스 진공증착법에서의 대면적 박막균일도에 관한 전산모사 연구)

  • Kim, Chang-Gyu;Lee, Won-Jong
    • Korean Journal of Materials Research
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    • v.21 no.1
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    • pp.56-66
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    • 2011
  • Multi-source evaporation is one of the methods to improve the thickness uniformity of thin films deposited by evaporation. In this study, a simulator for the relative thickness profile of a thin film deposited by a multi-source evaporation system was developed. Using this simulator, the relative thickness profiles of the evaporated thin films were simulated under various conditions, such as the number and arrangements of sources and source-to-substrate distance. The optimum conditions, in which the thickness uniformity is minimized, and the corresponding efficiency, were obtained. The substrate was a 5th generation substrate (dimensions of 1300 mm ${\times}$ 1100 mm). The number of sources and source-to-substrate distance were varied from 1 to 6 and 0 to the length of the major axis of the substrate (1300 mm), respectively. When the source plane, the area on which sources can be located, is limited to the substrate dimension, the minimum thickness uniformity, obtained when the number of sources is 6, was 3.3%; the corresponding efficiency was 16.6%. When the dimension of the source plane is enlarged two times, the thickness uniformity is remarkably improved while the efficiency is decreased. The minimum thickness uniformity, obtained when the number of sources is 6, was 0.5%; the corresponding efficiency was decreased to 9.1%. The expansion of the source plane brings about not only the improvement of the thickness uniformity, but also a decrement of the efficiency and an enlargement of equipment.

DIMENSION REDUCTION FOR APPROXIMATION OF ADVANCED RETRIAL QUEUES : TUTORIAL AND REVIEW

  • SHIN, YANG WOO
    • Journal of applied mathematics & informatics
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    • v.35 no.5_6
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    • pp.623-649
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    • 2017
  • Retrial queues have been widely used to model the many practical situations arising from telephone systems, telecommunication networks and call centers. An approximation method for a simple Markovian retrial queue by reducing the two dimensional problem to one dimensional problem was presented by Fredericks and Reisner in 1979. The method seems to be a promising approach to approximate the retrial queues with complex structure, but the method has not been attracted a lot of attention for about thirty years. In this paper, we exposit the method in detail and show the usefulness of the method by presenting the recent results for approximating the retrial queues with complex structure such as multi-server retrial queues with phase type distribution of retrial time, impatient customers with general persistent function and/or multiclass customers, etc.

IDENTIFYING EMOTIONAL ELEMENTS OF APARTMENT NOISE (공동주택 소음에 대한 감성 평가)

  • 민윤기;은희준;조문재;손진훈
    • Proceedings of the Korean Society for Emotion and Sensibility Conference
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    • 1999.03a
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    • pp.39-44
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    • 1999
  • The purpose of this study was to extract emotional dimensions from Korean adjectives relating to apartment noise. Noise-related 296 Korean adjectives were extracted from a dictionary and three evaluators selected 96 adjectives from those by removing very similar ones in meaning. Two types of 96 7-point scales were conducted to college students for evaluation, whether each adjective describes apartment noise appropriately. From this evaluation, 28 adjectives having above 4.5 points were selected. Again, 8 different types of 7-point scales on 378 adjective pairs(28 x 27/2) were administrated to separate college students to evaluate the degree of similarity between 28 adjectives. Based upon this evaluation, 14 adjectives were finally selected and scores on similarity sere analyzed through two different statistical analyses (Multi-dimensional scale and Cluster analysis). The results showed that three dimensions (displeasure, sensitivity and perceived loudness) exist in peoples' emotional response state to apartment noise. The previous studies have treated annoyance and sensitivity as separate measures to noise. However, this study showed that these two factors were on the same emotional dimension labeled as 'sensitivity' In addition, new dimension, labeled as 'displeasure', was found.

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The method to predict spectral reflectance of skin color by RGB color signals (RGB 색신호에 의한 피부색의 분광반사율 추정)

  • 김채경;박상택;김종필;이을환;안석출
    • Journal of the Korean Graphic Arts Communication Society
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    • v.16 no.3
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    • pp.97-108
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    • 1998
  • Spectral reflectance of the object should be measured to predict the color of object under various illuminants. The spectral reflectance can be represented in a multi-dimension space. Generally the information of inputed image by digital camera and color scanner is represented with 3-dimension color signals such as RGB. In other to predict the color of inputed image under any illuminant, we should be estimated spectral reflectance of the object. In this paper, we described the method to predict spectral reflectance by einenvector using the skin color of printed image, confirmed availability and propriety through experiment. we estimated spectral reflectance of skin color taken by RGB color signals and than reproduced skin color according to various illuminants on CRT.

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Analysis of Wave Reflection from an Open-Ended Coaxial Probe Using the FDTD Method (FDTD 방법을 이용한 동축선로 끝단에서의 전파반사 분석)

  • 박기억;손병문;오이석;구연건
    • Journal of the Korean Institute of Telematics and Electronics D
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    • v.35D no.10
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    • pp.7-12
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    • 1998
  • The wave reflections from several types of open-ended coaxial probes contacted on the various materials have been analyzed precisely by using the finite-difference time-domain(FDTD) technique in this paper. Due to the coordinate transformation from three-dimension to two-dimension, the computation was performed very efficiently. It was found that the reflection from an open-ended coaxial probe reduces as frequency or diameter of a coaxial line increases. The reflections from multi-layered media were also analyzed by the FDTD method. This analysis technique was verified by comparison with measurements and theoretical computations.

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Grouping Method of Loads to Verify the Aggregation of Component Load Models (개별부하 축약을 검증하기 위한 집단부하 구성방법에 관한 연구)

  • Ji, Pyeong-Shik;Lee, Jong-Pil;Lim, Jae-Yoon
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.50 no.4
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    • pp.172-179
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    • 2001
  • A component based method out of load modeling is to aggregate component load model according to the composition rate of each component load at load bus based on the circuit theory. But the most of component loads respond complex nonlinear characteristics respect to voltage and frequency variation due to the control techniques and semiconductor elements applied to component load. It needs to verify this approach through actual experiment of the aggregation of component load even if it can be down. To identify this aggregation method well known, this paper is proposed the classifying method of component load characteristics for component loads to group by quantitative analysis. The component load characteristics were divided into several types by KSOM (kohonen self organizing map), which can classify multi-dimension vector, component load pattern, into two-dimension vector. Some ambiguous cases happened from KSOM were classified by the proposed closing degree.

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An Efficient Indexing Structure for Multidimensional Categorical Range Aggregation Query

  • Yang, Jian;Zhao, Chongchong;Li, Chao;Xing, Chunxiao
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.2
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    • pp.597-618
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    • 2019
  • Categorical range aggregation, which is conceptually equivalent to running a range aggregation query separately on multiple datasets, returns the query result on each dataset. The challenge is when the number of dataset is as large as hundreds or thousands, it takes a lot of computation time and I/O. In previous work, only a single dimension of the range restriction has been solved, and in practice, more applications are being used to calculate multiple range restriction statistics. We proposed MCRI-Tree, an index structure designed to solve multi-dimensional categorical range aggregation queries, which can utilize main memory to maximize the efficiency of CRA queries. Specifically, the MCRI-Tree answers any query in $O(nk^{n-1})$ I/Os (where n is the number of dimensions, and k denotes the maximum number of pages covered in one dimension among all the n dimensions during a query). The practical efficiency of our technique is demonstrated with extensive experiments.

Adaptive data hiding scheme based on magic matrix of flexible dimension

  • Wu, Hua;Horng, Ji-Hwei;Chang, Chin-Chen
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.15 no.9
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    • pp.3348-3364
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    • 2021
  • Magic matrix-based data hiding schemes are applied to transmit secret information through open communication channels safely. With the development of various magic matrices, some higher dimensional magic matrices are proposed for improving the security level. However, with the limitation of computing resource and the requirement of real time processing, these higher dimensional magic matrix-based methods are not advantageous. Hence, a kind of data hiding scheme based on a single or a group of multi-dimensional flexible magic matrices is proposed in this paper, whose magic matrix can be expanded to higher dimensional ones with less computing resource. Furthermore, an adaptive mechanism is proposed to reduce the embedding distortion. Adapting to the secret data, the magic matrix with least distortion is chosen to embed the data and a marker bit is exploited to record the choice. Experimental results confirm that the proposed scheme hides data with high security and a better visual quality.

An Adaptive Virtual Machine Location Selection Mechanism in Distributed Cloud

  • Liu, Shukun;Jia, Weijia
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.9 no.12
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    • pp.4776-4798
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    • 2015
  • The location selection of virtual machines in distributed cloud is difficult because of the physical resource distribution, allocation of multi-dimensional resources, and resource unit cost. In this study, we propose a multi-object virtual machine location selection algorithm (MOVMLSA) based on group information, doubly linked list structure and genetic algorithm. On the basis of the collaboration of multi-dimensional resources, a fitness function is designed using fuzzy logic control parameters, which can be used to optimize search space solutions. In the location selection process, an orderly information code based on group and resource information can be generated by adopting the memory mechanism of biological immune systems. This approach, along with the dominant elite strategy, enables the updating of the population. The tournament selection method is used to optimize the operator mechanisms of the single-point crossover and X-point mutation during the population selection. Such a method can be used to obtain an optimal solution for the rapid location selection of virtual machines. Experimental results show that the proposed algorithm is effective in reducing the number of used physical machines and in improving the resource utilization of physical machines. The algorithm improves the utilization degree of multi-dimensional resource synergy and reduces the comprehensive unit cost of resources.