• ETRI Journal
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• v.22 no.2
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• pp.32-42
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• 2000

The existing multi-dimensional index structures are not adequate for indexing higher-dimensional data sets. Although conceptually they can be extended to higher dimensionalities, they usually require time and space that grow exponentially with the dimensionality. In this paper, we analyze the existing index structures and derive some requirements of an index structure for content-based image retrieval. We also propose a new structure, for indexing large amount of point data in a high-dimensional space that satisfies the requirements. in order to justify the performance of the proposed structure, we compare the proposed structure with the existing index structures in various environments. We show, through experiments, that our proposed structure outperforms the existing structures in terms of retrieval time and storage overhead.

• Journal of the Korean Institute of Landscape Architecture
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• v.22 no.2
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• pp.25-38
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• 1994

Service quality is defined as the perceived difference between performed service and expected service. In this paper, theme park service quality is conceptualized in relation to consumer's total satisfaction on theme park visitation. A 20-item scale was constructed to measure Theme Park Service Quality. The following four steps were employed in developing the service quality measure: 1)identification of service quality dimensions, 2)development of scales from a set of items describing the dimensions, 3)empirical verification of the scale's construct validity which refers to dimensionality, convergent validity, and nomological validity, and 4)confirmation of the utility. The scale was found to be an empirically valid and reliable evaluation tool for service quality enhancement. In addition, the scale would be an useful criterion for market segmentation and positioning.

• Journal of Information Technology Services
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• v.10 no.4
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• pp.21-32
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• 2011

The recently revised "Telecommunications Business Promotion and Personal Data Protection Act" is an important legal milestone in promoting the Korean telecommunications infrastructure and industry as well as protecting individuals' personal data and individuals' rights to privacy. Special characteristics of information security and privacy protection services including public goods' feature, adaptiveness, relativity, multi-dimensionality, and incompleteness, are reviewed. The responsibility of chief security/privacy officers in the IT industry, and the fairness and effectiveness of the criminal negligence in the Telecommunications Act are analyzed. An assessment of the rationale behind the act as well as a survey of related laws and cases in different countries, offers the following recommendations : i) revise the act and develop new systems for data protection, ii) grant a stay of execution or reduce the sentence given extenuating circumstances, or iii) use technical and managerial measures in data protection for exemption from criminal negligence.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2006.11a
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• pp.401-406
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• 2006

This paper presents the fault diagnosis of induction motor based on support vector machine(SVMs). SVMs are well known as intelligent classifier with strong generalization ability. Application SVMs using kernel function is widely used for multi-class classification procedure. In this paper, the algorithm of SVMs will be combined with feature extraction and reduction using component analysis such as independent component analysis, principal component analysis and their kernel(KICA and KPCA). According to the result, component analysis is very useful to extract the useful features and to reduce the dimensionality of features so that the classification procedure in SVM can perform well. Moreover, this method is used to induction motor for faults detection based on vibration and current signals. The results show that this method can well classify and separate each condition of faults in induction motor based on experimental work.

• Journal of KIISE:Databases
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• v.37 no.1
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• pp.44-49
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• 2010

In this paper, we first address the problems associated with indexing and searching for reduced-dimensional vectors, which are reduced by using a combination of angle approximation and dimension grouping. Then, we propose a novel method to solve the problems. We also show the superiority of the proposed method by performing extensive experiments with synthetic and real-life data sets.

• 한국연소학회:학술대회논문집
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• 2001.11a
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• pp.125-135
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• 2001

Aiming at a direct, also more realistic, prediction of unstable waves evolving in the combustion chamber, present paper introduces a new analytical method. Instability equations are freshly formulated, and solve the time-integrated ODEs for amplification factors to find the transients of pressure and velocity fluctuations. Present numerical approach requires no separate treatments for nonlinearities. Preliminary numerical experiments for unstable waves in quasi-one-dimensional rocket combustor, show validity and applicability of present model, and promise for its practical use. Study for the complex models for physics, especially velocity- and pressure-coupled responses, and inclusion of multi dimensionality remains as future tasks.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.25 no.1
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• pp.85-92
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• 2002

This study investigated the multidimensionality of the pay satisfaction. A series of tests supported multidimensionality of the pay satisfaction. The items from the Pay Satisfaction Questionare(PSQ) loaded on their hypothesized dimensions and the dimensions were empirically distinct. These results supported the 4 dimensions suggested by H.G. Heneman and D.P. Schwab(1985). In this study we suggested favorable conclusions about the ability of the PSQ to measure pay satisfaction and the results are discussed in light of additional tests that may further substantiate the validity of the PSQ.

• Proceedings of the Korea Committee for Ocean Resources and Engineering Conference
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• 2006.11a
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• pp.46-53
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• 2006

This paper presents the fault diagnosis of induction motor based on support vector machine (SVMs). SVMs are well known as intelligent classifier with strong generalization ability. Application SVMs using kernel function is widely used for multi-class classification procedure. In this paper, the algorithm of SVMs will be combined with feature extraction and reduction using component analysis such as independent component analysis, principal component analysis and their kernel (KICA and KPCA). According to the result, component analysis is very useful to extract the useful features and to reduce the dimensionality of features so that the classification procedure in SVM can perform well. Moreover, this method is used to induction motor for faults detection based on vibration and current signals. The results show that this method can well classify and separate each condition of faults in induction motor based on experimental work.

• 제어로봇시스템학회:학술대회논문집
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• 2000.10a
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• pp.15-15
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• 2000

In the past couple of years, there has been increasing interest in the fusion of neural networks and fuzzy logic. Most of the existing fused models have been proposed to implement different types of fuzzy reasoning mechanisms and inevitably they suffer from the dimensionality problem when dealing with complex real-world problem. To overcome the problem, we propose the self-organizing networks with activation nodes based on fuzzy inference and polynomial function. The proposed model consists of two parts, one is fuzzy nodes which each node is operated as a small fuzzy system with fuzzy implication rules, and its fuzzy system operates with Gaussian or triangular MF in Premise part and constant or regression polynomials in consequence part. the other is polynomial nodes which several types of high-order polynomials such as linear, quadratic, and cubic form are used and are connected as various kinds of multi-variable inputs. To demonstrate the effectiveness of the proposed method, time series data for gas furnace process has been applied.

• Journal of Korean Society for Quality Management
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• v.29 no.4
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• pp.54-64
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• 2001

Service industries are rapidly increased and the environment of service is also changing in healthcare settings. Those make them change their management strategies and carry out many researches. Till now, single-item behavioral intention scale or direct measuring has some limitations that we have to consider its efficiency and it is difficult to explain phenomena of broad part in the process of determining behavioral intentions. In this paper, we examine the dimensionality of healthcare service in Korea through the multi-item behavioral intention scale. In addition, we are going to investigate the nature of the relationship between service quality perceptions which have unique construct, and consumer satisfaction judgements in the formation of consumers' behavioral intentions. we are going to conclude that the linear combination model of service quality and customer satisfaction can describe the process of formation of customers' behavioral intentions best and provide some managerial implications to decision makers for redistribution of materials and human resources.