• 제목/요약/키워드: Multi-dimension

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Research on Brand Value Dimensions of Employers: Based on Online Reviews by the Employees

  • XU, Meng
    • The Journal of Asian Finance, Economics and Business
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    • 제9권10호
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    • pp.215-225
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    • 2022
  • This study investigates employees' online reviews, conducts in-depth text topic mining, effectively summarizes the dimensions of employer brand value, and seeks effective ways to build employer brands from a multi-dimensional perspective. This study employs samples of employer reviews, filter keywords according to word frequency-inverse document frequency, builds a review network containing the same keywords, explore the community and summarize the theme dimensions. Simultaneously, it makes a dynamic comparison and analysis of the employer brand value dimension of different industries and enterprises. The study shows that the community exploration theme can be summarized into 11 dimensions of employer brand value, and the dimensions of employer brand value are significantly different across industries and among different enterprises within the industry. The attention to the employer brand value dimension has a significant time change. Various industries pay increasing attention to the dimension of work intensity and career development, while employers pay steady attention to the dimension of welfare benefits. The findings of this study suggest that seeking the heterogeneity of employer brand resources from the multi-dimensional differences and changes is an effective way to improve the competitiveness of enterprises in the human capital market.

Object Recognition Using the Edge Orientation Histogram and Improved Multi-Layer Neural Network

  • Kang, Myung-A
    • International Journal of Advanced Culture Technology
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    • 제6권3호
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    • pp.142-150
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    • 2018
  • This paper describes the algorithm that lowers the dimension, maintains the object recognition and significantly reduces the eigenspace configuration time by combining the edge orientation histogram and principle component analysis. By using the detected object region as a recognition input image, in this paper the object recognition method combined with principle component analysis and the multi-layer network which is one of the intelligent classification was suggested and its performance was evaluated. As a pre-processing algorithm of input object image, this method computes the eigenspace through principle component analysis and expresses the training images with it as a fundamental vector. Each image takes the set of weights for the fundamental vector as a feature vector and it reduces the dimension of image at the same time, and then the object recognition is performed by inputting the multi-layer neural network.

엔드밀가공시 복합계측 신호를 이용한 공구 마멸의 카오스적 해석 (Chaotic analysis of tool wear using multi-sensor signal in end-milling process)

  • Kim, J.S.;Kang, M.C.;Ku, S.J.
    • 한국정밀공학회지
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    • 제14권11호
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    • pp.93-101
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    • 1997
  • Ever since the nonlinearity of machine tool dynamics was established, researchers attempted to make use of this fact to devise better monitoring, diagnostics and control system, which were hitherto based on linear models. Theory of chaos which explains many nonlinear phenomena comes handy for furthering the analysis using nonlinear model. In this study, measuring system will be constructed using multi-sensor (Tool Dynamometer, Acoustic Emission) in end milling process. Then, it will be verified that cutting force is low-dimensional chaos by calculating Lyapunov exponents. Fractal dimension, embedding dimension. And it will be investigated that the relation between characteristic parameter calculated from sensor signal and tool wear.

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Applications of response dimension reduction in large p-small n problems

  • Minjee Kim;Jae Keun Yoo
    • Communications for Statistical Applications and Methods
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    • 제31권2호
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    • pp.191-202
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    • 2024
  • The goal of this paper is to show how multivariate regression analysis with high-dimensional responses is facilitated by the response dimension reduction. Multivariate regression, characterized by multi-dimensional response variables, is increasingly prevalent across diverse fields such as repeated measures, longitudinal studies, and functional data analysis. One of the key challenges in analyzing such data is managing the response dimensions, which can complicate the analysis due to an exponential increase in the number of parameters. Although response dimension reduction methods are developed, there is no practically useful illustration for various types of data such as so-called large p-small n data. This paper aims to fill this gap by showcasing how response dimension reduction can enhance the analysis of high-dimensional response data, thereby providing significant assistance to statistical practitioners and contributing to advancements in multiple scientific domains.

일본 공동주택 시노노메 캐널코트의 단위세대 주거평면 분석 (Analysis on the Unit-Plans of Shinonome Canal Court Multi-dwellings Project in Japan)

  • 서귀숙
    • 한국주거학회논문집
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    • 제19권2호
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    • pp.43-54
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    • 2008
  • The aim of the research is to find out the direction of unit-plans in multi-dwellings for the future society. Shinonome Canal Court where residents actually live now are the objects in this study, and the residential floor plan of unit-plans were analyzed to find out the typical types. The analysis was focused on the unit-plans of 5 blocks of Shinonome Canal Court. Space Syntax Theory was used as the analysis method. As the first stage of the analysis, justified graphs were made to find out the characters of unit-plans through the classification of the graphs. Contents of the analysis are as follows: Relationship between classified justified graphs and dimension according to node number. Relationship between classified justified graph patterns and unit-plans. Characters of unit-plans in each blocks. Shinonome Canal Court consists of mainly small scale unit-plans and 30unit-plans are classified. 1LDK, 2LDK, 1LDK+S, 1LDK+f are typical unit-plans which are mainly supplied in the complex. It is noted that the results of the analysis by node, justified graph pattern and dimension are the same. It also presents diverse unit-plans which shows a change in nLDK pattern or add f (foyer), AN (annex), S (service room), Fs (free space) to basic nLDK type. In summary, it demonstrates the possibility of creating new residental floor plans in multi-dwellings.

The Effects of Service Quality on Long-Term Orientation with Customers in Fashion Retail Stores

  • Ju, Seong-Rae;Chung, Myung-Sun
    • The International Journal of Costume Culture
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    • 제9권1호
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    • pp.15-26
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    • 2006
  • The purposes of this study were 1) to identify the dimension of perceived service quality of fashion retail stores in the basis of expanded marketing mix, 2) to investigate the effect of each dimension on long-term orientation/customer satisfaction, trust, commitment and WOM/repurchase intention) on perceived service quality. The questionnaires were administered to 333 women shopped in a fashion retail store in Gwang-ju city. Data were analyzed by using exploratory and confirmatory factor analysis, Cronbach' ${\alpha}$, and multi-regression analysis. The results were as follows: 1) The dimension of perceived service quality based on expanded marketing mix were classified as follow: product, price, place, promotion, people, physical evidence, process services. Long-term orientation was categorized into four factors: customer satisfaction, trust, commitment, WOM/repurchase intention. 2) For the effect of the perceived service quality by dimension, product, people, physical evidence, process services have significant effect on long-term orientation, while price, place, promotion services have not significant.

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저연산 연판정 기반의 다중 안테나 반복검출 기법 (Iterative MIMO Reception Based on Low Complexity Soft Detection)

  • 신상식;최지웅
    • 전자공학회논문지
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    • 제50권8호
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    • pp.61-66
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    • 2013
  • 본 논문에서는 채널부호화 다중 안테나 시스템에서 공간다중화 전송된 신호들을 효과적으로 복조하기 위한 저연산 연판정 복조 다중 안테나 반복검출 기법을 제시한다. 반복 검출기법의 경우 우수한 성능에도 불구하고 연산량의 복잡성으로 수신단에 높은 복잡도를 요청하게 된다. 이러한 복잡도 감소를 위해 차원감소 소프트 검출 기법 (DRSD)과 모든 순서 순차적 간섭 제거(AOSIC) 기법을 사용한다. 이 기법의 경우 기존 기법들에 비해 반복검출 기법의 연산량의 복잡성을 줄일 수 있으며 향상된 성능을 얻을 수 있다.

MULTI-SCALE DERIVATIVE OF IRREGULAR FUNCTIONS

  • Kim, Tae-Sik
    • Journal of applied mathematics & informatics
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    • 제13권1_2호
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    • pp.393-404
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    • 2003
  • In general, a differential operator can be used as a tool of treating the local properties of given function. However, when the given function is varied with high frequency and has irregular form with non-stationary evolution it may not act its role sufficiently as in case of nowhere differentiable curves. In this paper we introduce a multi-scale derivative as a form of weakened global derivative so that it may explain its semi global diffusion properties as well as local ones for the various irregular diffusion phenomena.

3-D Simulation of Thermal Multimorph Actuator based on MUMPs process

  • Klaitabtim, Don;Tuantranont, Adisorn
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2005년도 ICCAS
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    • pp.1115-1117
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    • 2005
  • This paper describes the three dimension model and simulation results of a thermal actuator based on polyMUMPs process, known as thermal multimorph actuator. The device has potential application in micro-transducers such as atomic force microscope (AFM) tip and scanning tunneling microscope (STM) tip. This device made of a multi-layer materials stack together with consisted of polysilicon, $SiO_2$ and gold. A mask layout design, three dimension model and simulation results are reported and discussed.

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공정성(公正性) 지각(知覺)이 조직시민행동(組織市民行動)에 미치는 영향(影響) (The Effects of Perceived Organizational Justice on the Organizational Citizenship Behavior)

  • 윤두열;천명섭
    • 산업융합연구
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    • 제3권1호
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    • pp.79-100
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    • 2005
  • Considering the above points, this study has been conducted to find out the effects brought by perceived organizational justice towards organizational citizenship behavior, with focus on multi-dimension and multi-class nature of trust. With this objective, I researched the following. First, which type gives larger effect to organizational citizenship behavior, the type of distributive justice (that is lower dimension of organizational justice) or that of procedural justice. Second, what effects are given to the 5 types of trust, by distributive justice and procedural justice. Also, what effects are given to organizational citizenship behavior by the 5 types of trust. Third, which type of justice gives larger effect to organizational citizenship behavior when trust is served as a medium. Fourth, which items should be dealt in priority to lead members of organization towards a desirable direction. The research for this purpose was conducted on the basis of comprehensive analysis of variable including. socio-population variable.

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