• Environmental Analysis Health and Toxicology
• /
• v.23 no.4
• /
• pp.231-245
• /
• 2008

Various methods for detecting changes in response behaviors of indicator specimens are presented for monitoring effects of toxic treatments. The movement patterns of individuals are quantitatively characterized by statistical (i.e., ANOVA, multivariate analysis) and computational (i.e., fractal dimension, Fourier transform) methods. Extraction of information in complex behavioral data is further illustrated by techniques in ecological informatics. Multi-Layer Perceptron and Self-Organizing Map are applied for detection and patterning of response behaviors of indicator specimens. The recent techniques of Wavelet analysis and line detection by Recurrent Self-Organizing Map are additionally discussed as an efficient tool for checking time-series movement data. Behavioral monitoring could be established as new methodology in integrative ecological assessment, tilling the gap between large-scale (e.g., community structure) and small-scale (e.g., molecular response) measurements.

• Journal of Power System Engineering
• /
• v.13 no.1
• /
• pp.5-12
• /
• 2009

The present work aims to estimate channel, shell, tube and tube sheet stresses of shell and tube oil cooler stemmed from various parameters. These parameters involve size, thickness and dimension of shell and tube oil cooler, including fluid temperature. The main purpose of the present work is to ensure safety of design products and also develop new products rapidly. For stress evaluation of oil coolers, first of all, the maximum pressure on the shell-side and on the tube side is fixed with 3.1MPa and 1.5MPa, respectively. Secondly, the pressure on each side varies from 2MPa to 3.1MPa on the shell side and tram 0.6MPa to 2MPa on the tube side. Various parameters under these conditions are employed to estimate design stresses on each side of oil cooler. These basic information related to stresses will be useful for a designer or manufacturer of an oil cooler.

• Nuclear Engineering and Technology
• /
• v.31 no.6
• /
• pp.23-38
• /
• 1999

This study addresses the reference spent fuel and its characteristics for developing a geological repository concept. As a disposal capacity of the reference repository system to be developed, spent fuel inventories were projected based on the basis of the Nuclear Energy Plan of the Long-term National Power Program. The reference spent fuel encompassing a variability in characteristics of all existing and future spent fuels of interest was defined. Key parameters in the reference fuel screening processes were the nuclear and mechanical design parameters and the burnup histories for existing spent fuels as of 1996 and for future spent fuels with the more extended burnup the initial enrichment and its expected turnup. The selected reference fuel was characterized in terms of initial enrichment, bumup, dimension, gross weight and age. Also the isotopic composition and the radiological properties are quantitatively identified. This information provided in this study could be used as input for repository system development and performance assessment and applied in fuel material balance evaluation for the various types of back-end fuel cycle studies.

• Journal of Advanced Marine Engineering and Technology
• /
• v.36 no.3
• /
• pp.358-367
• /
• 2012

A study on tidal turbine using CFD simulation has been an economical and reliable method. However, large flow fields with multi-turbine arrays require high computer performance. Actuator disc theory therefore is widely applied. Actuator disc is the concept that imitates actual turbine by means of an energy absorption disc which has the same dimension and characteristics. Turbines installed in array may have disturbance effects on one another. Thus, the subject of this study is to analyze the far wake of these tidal turbines and compare to single turbine case. The main objects are to analyze two turbines positioned longitudinally at different spaces.

• Journal of Information Technology Services
• /
• v.10 no.2
• /
• pp.235-245
• /
• 2011

Early criticality prediction models that determine whether a design entity is fault-prone or not are becoming more and more important as software development projects are getting larger. Effective predictions can reduce the system development cost and improve software quality by identifying trouble-spots at early phases and proper allocation of effort and resources. Many prediction models have been proposed using statistical and machine learning methods. This paper builds a prediction model using Support Vector Machine(SVM) which is one of the most popular modern classification methods and compares its prediction performance with a well-known prediction model, BackPropagation neural network Model(BPM). SVM is known to generalize well even in high dimensional spaces under small training data conditions. In prediction performance evaluation experiments, dimensionality reduction techniques for data set are not used because the dimension of input data is too small. Experimental results show that the prediction performance of SVM model is slightly better than that of BPM and polynomial kernel function achieves better performance than other SVM kernel functions.

• Speech Sciences
• /
• v.7 no.3
• /
• pp.167-183
• /
• 2000

In this paper, we propose two kinds of chaos dimensions, the fuzzy correlation and fuzzy Lyapunov dimensions, for speaker recognition. The proposal is based on the point that chaos enables us to analyze the non-linear information contained in individual's speech signal and to obtain superior discrimination capability. We confirm that the proposed fuzzy chaos dimensions play an important role in enhancing speaker recognition ratio, by absorbing the variations of the reference and test pattern attractors. In order to evaluate the proposed fuzzy chaos dimensions, we suggest speaker recognition using the proposed dimensions. In other words, we investigate the validity of the speaker recognition parameters, by estimating the recognition error according to the discrimination error of an individual speaker from the reference pattern.

• Journal of the Korean Society for Library and Information Science
• /
• v.41 no.4
• /
• pp.113-134
• /
• 2007

This study deals with the role and responsibility of university library in multicultural society. For this purpose, centered the Chinese students in Pusan University, with internet questionnaire surveys on customer satisfaction to the current library portal service and set up a effective digital library evaluation model. In the meanwhile we borrowed evaluation methods and items from LibQUAL+ in part, a world wide famous model, and use Tsinghua University Library's evaluation statistic norms. To summarize the results of this survey, Chinese student's service satisfaction about Pusan University library is still fairly low. Undergraduate and graduate students(including doctor courses) group follows, undergraduates student's satisfaction level is lower than graduate. By analyzing simple satisfaction we can know that library portal service maintained low importance or influence to the user, to internet space user's satisfaction is a relatively high level. And compared with other dimension, statistic data show out that internet space user's satisfaction still maintained a relative high level.

• KIPS Transactions on Software and Data Engineering
• /
• v.10 no.4
• /
• pp.125-132
• /
• 2021

As the layers of artificial neural network deepens, and the dimension of data used as an input increases, there is a problem of high arithmetic operation requiring a lot of arithmetic operation at a high speed in the learning and recognition of the neural network (NN). Thus, this study proposes a data dimensionality reduction method to reduce the dimension of the input data in the NN. The proposed Line-segment Feature Analysis (LFA) algorithm applies a gradient-based edge detection algorithm using median filters to analyze the line-segment features of the objects existing in an image. Concerning the extracted edge image, the eigenvalues corresponding to eight kinds of line-segment are calculated, using 3×3 or 5×5-sized detection filters consisting of the coefficient values, including [0, 1, 2, 4, 8, 16, 32, 64, and 128]. Two one-dimensional 256-sized data are produced, accumulating the same response values from the eigenvalue calculated with each detection filter, and the two data elements are added up. Two LFA256 data are merged to produce 512-sized LAF512 data. For the performance evaluation of the proposed LFA algorithm to reduce the data dimension for the recognition of handwritten numbers, as a result of a comparative experiment, using the PCA technique and AlexNet model, LFA256 and LFA512 showed a recognition performance respectively of 98.7% and 99%.

• Journal of Distribution Science
• /
• v.16 no.4
• /
• pp.75-82
• /
• 2018

Purpose - As the role of salespersons in retail stores has expanded from selling products to sharing brand experiences with customers, the importance of research on the effects of salesperson-brand relationships has grown. The purpose of this research is to investigate the influences of salespersons' brand identification on conceptual fluency and customers' service and brand evaluations. It was supposed that salespersons' brand identification is affected by brand knowledge, which is a core dimension of internal branding. Research design, data, and methodology - The author developed a structural model in which salespersons' brand knowledge influences brand identification, hence customers' perception of salesperson-brand image congruence. And it is hypothesized that salesperson-brand image congruence influences conceptual fluency which affects customers' satisfaction and brand evaluation. Data were collected from five department stores in Seoul. Results - First, salespersons' brand knowledge was found to have a significant effect on brand identification. The more a salesperson knows about the affiliated brand, the higher her level of brand identification. Second, salespersons' brand identification influenced salesperson-brand image congruence. Third, salesperson-brand image congruence had a significant effect on brand conceptual fluency. Customers who perceive salesperson-brand image congruent are more likely to process information easily. Finally, conceptual fluency was found to be a significant determinant of store loyalty and brand value evaluation. Conclusions - The results of this study verify importance of salesperson's brand identification on customers' service and brand evaluations. To enhance salespersons' brand identification, retailers should emphasize the importance of internal branding and communication, especially by sharing brand vision, values, and identity with employees at customer contact points. Also, as brand conceptual fluency is a significant determinant of customer responses, retailers need to deliver consistent messages through various components of store environments, including salespersons' attitudes, appearances, and manners, as well as physical store design. With a deeper understanding of the effects of salesperson-brand relationship and brand conceptual fluency, retailers will be able to create more effective brand strategies to enhance their performances. Future studies should consider data from various retail types, such as discount stores, to generalize the findings.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.8 no.3
• /
• pp.44-54
• /
• 2005

Most advanced countries in GIS field have established and managed georeferenced socioeconomic data systematically and made a great profit on various social and economic areas. In Korea, however, socioeconomic geographical information is relatively poor compared to systems related to geographical and topographical features. This is mainly due to the characteristics of the process from the construction to the utilization of socioeconomic data. That is, from the stage of data construction, socioeconomic data require solutions for frequent changes compared to data on geographical and topographical features and, because of difficulties in marking the positions of individual entities, information is built up through setting appropriate spatial units of aggregation. In the stage of data utilization, the data often need to be combined with other types of socioeconomic data due to the complexity of socioeconomic phenomena. Thus, the this study examined usability of GIS in socioeconomic fields and the spatial dimension of socioeconomic information through representative cases of GIS in developed countries and, based on the results, derived data requirements for socioeconomic GIS found in the construction and utilization of data and proposed solutions for the requirements.