• Journal of the Korean Society of Clothing and Textiles
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• v.22 no.8
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• pp.1111-1121
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• 1998

The objectives of this study were to identify the dimensional structure of female impression formation based on ornaments and color of jacket, and to analyze the effect of ornaments, color of jacket, and perceiver's gender on impression formation. The experimental design was 3$\times$4$\times$2(ornaments$\times$color of jacket$\times$gender) factorial design by 3 independent variables. The stimuli of color photographs of female model and the semantic differential scale were used. Samples were 288 college males and females. The data were analyzed by factor analysis, ANOVA, duncan's multiple range test, and t-test. Four factors derived to account for the dimensions of impression formation. These were potency, elegance, evaluation, youthfulness, and feminine. Wearing of large ornaments(a necklace and earrings) had a negative effect on impression of elegance and positive on potency. Red jackets increased the impression of positive evaluation, potency, feminity, and youthfulness. On the jackets of achromatic color such as white and black, wearing of large ornaments increased the effect of potency, and large ornaments increased matured impression on black jacket. The results of this study mean that perceiverss used large ornaments and red jackets as a salient cue.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.3
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• pp.1264-1286
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• 2018

In this paper, a novel background prior-based salient object detection framework is proposed to deal with images those are more complicated. We take the superpixels located in four borders into consideration and exploit a mechanism based on image boundary information to remove the foreground noises, which are used to form the background prior. Afterward, an initial foreground prior is obtained by selecting superpixels that are the most dissimilar to the background prior. To determine the regions of foreground and background based on the prior of them, a threshold is needed in this process. According to a fixed threshold, the remaining superpixels are iteratively assigned based on their proximity to the foreground or background prior. As the threshold changes, different foreground priors generate multiple different partitions that are assigned a likelihood of being foreground. Last, all segments are combined into a saliency map based on the idea of similarity voting. Experiments on five benchmark databases demonstrate the proposed method performs well when it compares with the state-of-the-art methods in terms of accuracy and robustness.

• Proceedings of the KIEE Conference
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• 2002.11d
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• pp.73-75
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• 2002

Single phase SRM(switched reluctance motor) is very simple in structure and in driving circuit than three phase SRM. But it can't be started by itself. The prototype of salient pole rotor type single phase SRM was fabricated in former research and the starting device was installed in bottom of the rotor for generating start torque. The starting device is composed of permanent magnet and it is placed the rotor at specific position which is generated positive torque when the prototype is started. Therefore the prototype was started by itself but it is also affected the torque and the speed in operation. On this paper, the influence of the starting device on no-load speed of the prototype was confirmed by measurement of no-load speed according to installation of the starting device or not.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.20 no.10
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• pp.74-81
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• 2006

This paper proposes the sensorless vector control scheme of a Non-salient permanent-magnet synchronous motor (SPMSM) using programmable low pass filter (PLPF) to estimate a stator flux with the information of a rotor position and speed. The sesorless vector control of PMSM using PLPF can solves the dc drift problem associated with a pure integrator and a LPF. Also, the PLPF has the phase and gain compensator to estimate exactly rotor position and speed. Therefore, the information of a position and speed is exactly estimated because the drift and offset problems are solved by the PLPF. The experimental results show good performance over the 10[%] of the rated speed and under load condition.

• Proceedings of the KIEE Conference
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• 2001.04a
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• pp.30-32
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• 2001

Switched reluctance motors have the advantage a high torque/weight ratio, as the large reluctance torque is made by salient poles of both start and rotor, and a high reliability. On the other hand, the switched reluctance motors have the disadvantage of a large ripple torque which is made by salient poles. So the application for the industrial fields have been limited to special cases. Geometric significant parameters are ${\beta}_r$ and ${\beta}_s$ respectively the rotor and stator pole arc while the significant electric parameters are the angles where the drive switches are turned on and off. It can be simulated that ${\beta}_r$ and ${\beta}_s$ must be chosen in a particular region of the plane (${\beta}_r,\;{\beta}_s$) called the feasible triangle. The aim of this paper is to simulate the minimum of the torque ripple by using finite element method and to determine the best choice of the rotor and stator pole arc.

• Journal of Ubiquitous Convergence Technology
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• v.1 no.1
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• pp.9-17
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• 2007

Feature based stereo matching is an effective way to perform 3D building reconstruction. However, in urban scene, the cluttered background and various building structures may interfere with the performance of building reconstruction. In this paper, we propose a novel method to robustly reconstruct buildings on the basis of rectangle regions. Firstly, we propose a multi-scale linear feature detector to obtain the salient line segments on the object contours. Secondly, candidate rectangle regions are extracted from the salient line segments based on their local information. Thirdly, stereo matching is performed with the list of matching line segments, which are boundary edges of the corresponding rectangles from the left and right image. Experimental results demonstrate that the proposed method can achieve better accuracy on the reconstructed result than pixel-level stereo matching.

• Korean Journal of Community Nutrition
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• v.4 no.4
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• pp.561-567
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• 1999

This study was conducted to provide information about weight control behavior in adolescent females. To explain the behavior intention of dieting, conceptual framework based on "Social Support, Control and the Stress Process Model" and "Theory of Reasoned Action" was used. The survey was carried out by self-questionnaires with 463 female high school and college students in Daegu. Analysis of data was done using mean, correlation and multiple regression analysis with the SAS computer program. A society preoccupied with thinness gives a burden to women, and this burden may stress dissatisfaction with body image. Social perception of ideal body image except parents' perception, and salient others'perception, and salient others' expectation of subjects' body image except parents' expectation, were much thinner than normal figures in this study. The influencing factors for behavior intention of dieting of the subjects were perceived stress and attitude toward diet behavior, especially beliefs of behavioral outcome. Influencing factors related to perceived stress-that is dissatisfaction of body image-were current figure, social perception of body image, effect of mass communication and others' estimation of subjects' body image with self-comparison with others, in order.th others, in order.

• The KIPS Transactions:PartB
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• v.13B no.2 s.105
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• pp.149-154
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• 2006

The main purpose of document summarization is to reduce the complexity of documents that are consisted of sub-themes. Also it is to create summarization which includes the sub-themes. This paper proposes a summarization system which could extract any salient sentences in accordance with sub-themes by using graph division. A document can be represented in graphs by using chosen representative terms through term relativity analysis based on co-occurrence information. This graph, then, is subdivided to represent sub-themes through connected information. The divided graphs are types of sentence clustering which shows a close relationship. When salient sentences are extracted from the divided graphs, summarization consisted of core elements of sentences from the sub-themes can be produced. As a result, the summarization quality will be improved.

• Language and Information
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• v.11 no.1
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• pp.1-23
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• 2007

This study aims to research into the meaning of Korean particle 'ka' and 'nun' inductively by examining the correspondences of those particles and English articles on the Korean-English parallel corpus. The correspondences were checked in three ways: semantically, syntactically and pragmatically. This study found that when the semantic or syntactic tier is not salient, the pragmatic tier is activated and particles are selected according to the pragmatic elements such as the amount of information or the change of topic. However, if the meaning of the particles is salient or if there is any syntactic motive, particles are selected in accordance with the semantic or syntactic elements. Former studies which focused on one of those three tiers cannot properly explain such correspondences on the Korean-English parallel corpus. This study shows that semantic, syntactic and pragmatic tiers hierarchically affect the selection of a particle and that the selection process is also related to speaker's intention. This dimensional analysis of particles is expected to contribute to theoretical studies and applied studies like Korean language education as well.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.10
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• pp.3390-3405
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• 2022

Long Short-Term Memory (LSTM) combined with attention mechanism is extensively used to generate semantic sentences of images in image captioning models. However, features of salient regions and spatial information are not utilized sufficiently in most related works. Meanwhile, the LSTM also suffers from the problem of underutilized information in a single time step. In the paper, two innovative approaches are proposed to solve these problems. First, the Synergy-Gated Attention (SGA) method is proposed, which can process the spatial features and the salient region features of given images simultaneously. SGA establishes a gated mechanism through the global features to guide the interaction of information between these two features. Then, the Recurrent Fusion LSTM (RF-LSTM) mechanism is proposed, which can predict the next hidden vectors in one time step and improve linguistic coherence by fusing future information. Experimental results on the benchmark dataset of MSCOCO show that compared with the state-of-the-art methods, the proposed method can improve the performance of image captioning model, and achieve competitive performance on multiple evaluation indicators.