• Journal of the Korean Society for Precision Engineering
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• v.20 no.7
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• pp.185-192
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• 2003

This paper proposes an efficient mechanism design system of multi-stage gear drives including not only parallel shaft gears but also non-parallel gears such as bevel and worm gear drives. The system automatically generates three dimensional structures of specification-adjusted mechanisms, and shows the sorted list of the mechanisms according to the evaluation result by using a fuzzy expert system. The list can be used as reliable candidates of the spatial mechanism structures of multi-stage gear drives. Thus, it is expected that the system can increase the efficiency of design and cut off the expenses of preliminary design considerably.

• Journal of Korean Society for Quality Management
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• v.25 no.2
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• pp.169-188
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• 1997

The purpose of this study is concerned with suggesting a new a, pp.oach to evaluating the overall product quality in the sense of the relative efficiency of products, whose quality is measured with 8-dimensional attributes, suggested by Garvin. The attributes included 8 quality measures, that is, performance, features, reliability, conformance, durability, serviceabilit, aesthetics, and perceived quality. This study, also, introduced DEA(Data Envelopment Analysis) as an evaluation tool to tackle the problem of how to measure one product against another when each product can be measured along a number of dimensions, and given that there exists no a priori satisfactory weighting scheme to combine these dimensions into an overall rating for each products. In order to a, pp.y the DEA to evaluating the products, we must define two concepts, such as DMU(Decision Making Units) and input-output relationship. Finally, the suggested method in this study was validated through a case study of the electric jar, and this DEA a, pp.oach can be used in evaluating the other products with multi-attrribute quality.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.2
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• pp.293-301
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• 2018

This study examined the effects of a multifaceted intervention program on the psychological condition, empowerment, work readiness, and functional capacity for job performance of industrially injured workers. Twelve injured workers in C hospital were included in this study. The subjects participated in a social rehabilitation program 2 hours a day, twice a week, for 8 weeks in total, as well as a work hardening program 3 to 4 hours a day, 5 times a week, for 8 weeks in total. The study was conducted from March to September, 2017. A multi-dimensional psychological examination, empowerment scale, work readiness interview and functional capacity evaluation were conducted and the test scores compared before and after the program with the Wilcoxon signed rank test. In the multi-dimensional psychological examination, there were significant differences in the levels of anxiety, depression, lack of social support, and somatization symptoms (p<.05) except anger. The participants also showed significant differences in the empowerment scale, work readiness scale, and functional capacity evaluation. This study suggests that a multifaceted intervention program can be effective in improving the psychologic condition, empowerment, work readiness, and functional capacity of industrially injured workers and, in turn, may improve their rate of returning to work.

• Nuclear Engineering and Technology
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• v.39 no.4
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• pp.299-312
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• 2007

The program on thermal-hydraulic evaluation by testing and analysis (THETA) for the development and licensing of the new design features in the APR1400 (Advanced Power Reactor-1400) is briefly introduced with a presentation on the research motivation and typical results of the separate effect tests and analyses of the major design features. The first part deals with multi-dimensional phenomena related to the safety analysis of the APR1400. One research area is related to the multidimensional behavior of the safety injection (SI) water in a reactor pressure vessel downcomer that uses a direct vessel injection type of SI system. The other area is associated with the condensation of steam jets and the resultant thermal mixing in a water pool; these phenomena are relevant to the depressurization of a reactor coolant system (RCS). The second part describes our efforts to develop new components for safety enhancements, such as a fluidic device as a passive SI flow controller and a sparger to depressurize the RCS. This work contributes to an understanding of the new thermal-hydraulic phenomena that are relevant to advanced reactor system designs; it also improves the prediction capabilities of analysis tools for multi-dimensional flow behavior, especially in complicated geometries.

• Speech Sciences
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• v.11 no.4
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• pp.129-141
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• 2004

An auditory-perceptual evaluation has long been utilized in assessing dysarthric speech. The process involves subjective judgement and the results might vary depending on clinical experiences or training of listeners. This study aimed to investigate reliability of the auditory-perceptual evaluation of 22 multi -dimensional variables on 6 patients with Parkinsonian speech disorders. Listeners were divided into two groups: one consisted of 6 speech therapists with clinical experiences for three years or more, and the other 6 graduate students without any previous clinical background. The results showed that the former evaluated dysarthric speech with higher inter-rater and intra-rater reliabilities than the latter. Furthermore, such speech variables as 'precise consonant: 'speech intelligibility: and 'SMR regularity' were more influenced than others by clinical experiences. We, therefore, postulated that a reliable auditory-perceptual evaluation of dysarthric speech may require adequate amount of clinical training of listeners.

• Nuclear Engineering and Technology
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• v.30 no.2
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• pp.91-98
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• 1998

Time history analysis is usually performed to characterize the nonlinear seismic behavior of a spent fuel storage rack(SFSR). In the past, the seismic analyses of the SFSR were performed with two-dimensional planar models, which could not account for torsional response and simultaneous multi-directional seismic input In this study, three-dimensional seismic analysis methodology is developed for the single SFSR using the ANSYS code. The 3D- Model can be used to determine the nonlinear behavior of the rack, i.e., sliding, uplifting, and impact evaluation between the fuel assembly and rack, and rack and the pool wall, This paper also reviews the 3-D modeling of the SFSR and the adequacy of the ANSYS for the seismic analysis. AS a result of the adquacy study, the method of ANSYS transient analysis with acceleration time history is suitable for the seismic analysis of highly nonlinear structure such as an SFSR but it isn't appropriate to use displacement time history of seismic input.

• Journal of Information Processing Systems
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• v.15 no.5
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• pp.1231-1242
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• 2019

This paper presents a two-dimensional attention-based long short-memory (2D-ALSTM) model for stock index prediction, incorporating input attention and temporal attention mechanisms for weighting of important stocks and important time steps, respectively. The proposed model is designed to overcome the long-term dependency, stock selection, and stock volatility delay problems that negatively affect existing models. The 2D-ALSTM model is validated in a comparative experiment involving the two attention-based models multi-input LSTM (MI-LSTM) and dual-stage attention-based recurrent neural network (DARNN), with real stock data being used for training and evaluation. The model achieves superior performance compared to MI-LSTM and DARNN for stock index prediction on a KOSPI100 dataset.

• Proceedings of the KIEE Conference
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• 1997.07c
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• pp.1130-1132
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• 1997

This paper proposed an application of artificial neural networks to security assessment(SA) in power system. The SA is a important factor in power system operation, but conventional techniques have not achieved the desired speed and accuracy. Since the SA problem involves classification, pattern recognition, prediction, and fast solution, it is well suited for Kohonen neural network application. Self organizing feature map(SOFM) algorithm in this paper provides two dimensional multi maps. The evaluation of this map reveals the significant security features in power system. Multi maps of multi prototype states are proposed for enhancing the versatility of SOFM neural network to various operating state.

• Journal of KSNVE
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• v.8 no.4
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• pp.706-714
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• 1998

The purpose of this study is to analyse the main factors and attributes of psychological evaluation to noise. For this purpose, a psycho-acustic experiment was conducted by using the method of rating scale. 52 subjects were participated in the experiment, 20 stimuli were presented to subjects in random order with 23 adjectives. As a result of factor analysis, it was found that the primary factors for evaluating the quality of noise subjectively are four factors of unpleasantness, intensity, irregularity, and sharpness. And, as a result of MDPREF(multi-dimensional analysis of preference data), it was found that the noise sources including the factors of unpleasantness, intensity, and irregularity are related to the sounds of hammering in construction field, car horn, road traffic, idling of car, and printing by computer printer, and the factor of sharpness are the sounds of car siren, claps of thunder, car horn, and snowstorm etc.

• Journal of the Korean Society of Clothing and Textiles
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• v.26 no.11
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• pp.1638-1648
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• 2002

In this study, we classified adjectives to represent the image of clothing materials as the fundamental process for evaluation of the images on various fabrics and reviewed hierarchy and evaluation dimensions regarding the image of clothing materials. The adjectives to express the image of clothing materials were extracted from Fashion Magazine and Fashion Trend Book The similarity among adjectives was measured by pair-wise comparison without showing fabrics. From the result of the cluster analysis, 87 adjectives were finally extracted through the integrated processing of the adjectives with similar meaning and a close distance. Through the cluster analysis, the hierarchy of the clothing material images was examined. The clothing material images were classified into 12 primary sub-clusters such as ‘feminine', ‘warm', ‘neat', ‘classical', ‘pastoral.' ‘casual', ‘modern'. ‘ambiguous', ‘primitive', masculine', ‘abundant', and ‘arranged'. The dimensions evaluating the clothing material images were also developed using the multi-dimensional scaling method. A 4-dimensions and 8-axes system was established, which is composed of ‘masculine-feminine', ‘new-old', ‘casual-classical', and ‘ambiguous-arranged' images.