• Journal of the Institute of Electronics Engineers of Korea TE
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• v.37 no.3
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• pp.72-78
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• 2000

In this study, we propose a model verification algorithm based on DCT and neural network for ATM security system. We construct database about facial images after capturing thirty persons facial images in the same lumination and distance. To simulate model verification, we capture four learning images and test images per a man. After detecting edge in facial images, we detect a characteristic area of square shape using edge distribution in facial images. Characteristic area contains eye bows, eyes, nose, mouth and cheek. We extract characteristic vectors to calculate diagonally coefficients sum after obtaining DCT coefficients about characteristic area. Characteristic vectors is normalized between +1 and -1, and then used for input vectors of neural networks. Not considering passwords, simulations results showed 100% verification rate when facial images were learned and 92% verification rate when facial images weren't learned. But considering passwords, the proposed algorithm showed 100% verification rate in case of two simulations.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.40 no.5
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• pp.410-416
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• 2003

In the affine projection algorithm(APA), the projection dimension depends on a number of projection basis and of elements of input vector used for updating of coefficients of the adaptive filter. The projection dimension is closely related to a convergence speed of the APA, and it determines computational complexity. As the adaptive filter approaches to steady state, convergence speed is decreased. Therefore it is possible to reduce projection dimension that determines convergence speed. In this paper, we proposed the variable dimension affine projection algorithm (VDAPA) that controls the projection dimension and uses the relation between variations of coefficients of the adaptive filter and convergence speed of the APA. The proposed method reduces computational complexity of the APA by modifying the number of projection basis on convergence state. For demonstrating the good performances of the proposed method, simulation results are compared with the APA and normalized LMS algorithm in convergence speed and computational quantity.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.47 no.1
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• pp.73-79
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• 2010

Emotion intelligence computing is able to processing of human emotion through it's studying and adaptation. Also, Be able more efficient to interaction of human and computer. As sight and hearing, music & image is constitute of short time and continue for long. Cause to success marketing, understand-translate of humanity emotion. In this paper, Be design of check system that matched music and image by user emotion keyword(irritability, gloom, calmness, joy). Suggested system is definition by 4 stage situations. Then, Using music & image and emotion ontology to retrieval normalized music & image. Also, A sampling of image peculiarity information and similarity measurement is able to get wanted result. At the same time, Matched on one space through pared correspondence analysis and factor analysis for classify image emotion recognition information. Experimentation findings, Suggest system was show 82.4% matching rate about 4 stage emotion condition.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.47 no.1
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• pp.25-34
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• 2010

Robust face recognition under various illumination environments is difficult to achieve. For robust face recognition with respect to illumination variations, illumination normalization of face images is usually applied as a preprocessing step. Most of previously proposed illumination normalization methods cannot handle cast shadows in face images effectively. In this paper, We propose a new face illumination normalization method based on the illumination-separated face identity texture subspace. Since the face identity texture subspace is constructed so as to be separated from the effects of illumination variations, the projection of face images into the subspace produces a good illumination-normalized face images. Through experiments, it is shown that the proposed face illumination normalization method can effectively eliminate cast shadows as well as attached shadows and achieves a good face illumination normalization.

• Proceedings of the Korean Society of Crop Science Conference
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• 2017.06a
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• pp.332-332
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• 2017

Rice ratooning is the cultural practices to produce easily second rice from the stubble left behind after the main-crop harvest. The main advantage of rice ratooning is that in areas where rice is the main crop, double crop of rice can be grown for additional returns. Three early ripened rice cultivars were tested for estimation their milled rice quality and starch characteristics from main and ratoon rice. The main crop was harvested at mass maturity, after which the tillers were mowed to stubbles of about 10 cm tall. And then it left without any further input until the ratooned plant was ready for harvest. Highly significant variations were detected in the milled rice quality between main and ratoon rice. Protein and amylose contents of ratoon rice were more increased than those of main rice. The Toyo value (gloss) of cooked rice of ratoon crop was measured also higher than that of main crop. It resulted from higher air temperature during grain ripening compared with that of ratoon crop. The mean temperature during ripened period of ratoon rice was favorable for optimal maturation for early ripened rice cultivars. Normalized chromatograms of branch chain length distribution of amylopectin are demonstrated a distinct difference between main and ratoon rice flour. Ratoon rice had higher amount of short chains than that of main crop rice starches. Microscopic examination of rice flours with scanning electron microscopy shows starch granule shapes affected by the cropping types, main and ratoon rice. It showed significant differences among rice starch granule shapes and in granule size between main and ratoon rice. Starch of ratoon rice had more neat and smaller granules than that of main rice.

• Ecology and Resilient Infrastructure
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• v.4 no.4
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• pp.237-244
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• 2017

The Impact Mitigation Regulation was first introduced in Germany with an intention to avoid or reduce the natural ecology and landscape infringement as much as possible according to the development project. The system has is an advantage of being able to efficiently operate the linkage policy of land planning and environment planning to prevent the excessive development of the national land and to continue to manage it. This study applied the German natural impact mitigation system by revising and supplementing it according to the domestic situation with a biotope map of Juam-dong, Gwacheon City, as a case study area. Spatial analysis was conducted of biotope maps, landscape maps, and NDVI maps to suggest a plan to derive and preserve the areas excellent in an ecological and environmental value. It was confirmed the Impact Mitigation Regulation could be used as a policy link of the land-environment policy that minimizes the degree of the damage that cannot help occurring necessarily in the development of the national land and to manage that damage from the planning stage.

• The Journal of Korean Physical Therapy
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• v.13 no.1
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• pp.49-59
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• 2001

The purpose of this study was to examine the effect of treatment when the V{\ddot{o}}jta therapy applied to the infant with central coordination disturbance in early stage. The subject were 10 cases : each one with the V{\ddot{o}}jta therapy applied to the group of the infants before 6 months old and the group of the infants over 6 months old. When the V{\ddot{o}}jta therapy was applied I analized the papper which was written about the infants who were diagnosed as moderate CCD and divided two groups which were the infants before 6 months old and the infants over 6 months old. These collected data were analyzed by using t-test. The results of study were as follow; 1. When I compared the locomotion stage after the V{\ddot{o}}jta therapy. t-test showed significant differences. The group of infants before 6 months old had the result 7 to over stage 7 and the group of infants over 6months old had the result 2(p<.05). 2. When I compared the result of the postural reaction after the V{\ddot{o}}jta therapy, 1-test showed significant differences. The group of infants before 6 months old had 6 cases was normalizes and the group of infants over 6 months old had 1 case was normalized(p<.05). 3. When 1 compared the duration of the V{\ddot{o}}jta therapy between the group of infants before 6 months old and the group of infants over 6 months old. t-test showed significant differences. The group of the infants before 6 months old had 5 cases for 1-6 months and 4 cases for 7-15 months, 3 cases for 16-24 months and the group of infants over 6 months old had 6 cases for 7-15 months and cases for 16-24 months, 1 case for 25-30 months(p<.01).

• Physical Therapy Korea
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• v.21 no.3
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• pp.38-44
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• 2014

The aim of this study was to investigate the effects of different postural correction in the electromyographic (EMG) activity of the trunk and hip muscles during bridging exercises. Twenty-four healthy subjects volunteered for this study. The muscle activity was recorded with surface electrodes over the erector spinae, multifidus, gluteus maximus (GM), and hamstring (Ham) muscles; it was measured by using surface EMG equipment under the following 3 experimental conditions: manual postural correction, verbal correction, and no correction. The maximal voluntary isometric contraction (MVIC) was determined for each muscle group in order to represent each exercise as a percentage of MVIC and allow for standardized comparison between subjects. A one-way analysis of variance was used to determine significant differences in the EMG activities of each muscle between the 3 experimental groups. During bridging exercises, the manual postural correction on normalized EMG activity of the GM muscle during manual guiding was significantly higher than during verbal guiding and without guiding (p<.05). Furthermore, the GM/Ham ratio was significantly higher during manual guiding than during verbal guiding and without guiding (p<.05). These findings suggest that the activities of the hip and trunk muscles may be favorably modified with manual guiding during bridging exercises.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.24 no.6
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• pp.586-594
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• 2013

This paper proposes a new coupling element of microwave slot coupler for designing waveguide slot array which can reduce the effect of undesired higher order mode coupling between coupling and radiating slots in the branch waveguide. The proposed device is composed of a centered longitudinal shunt-series coupling slot at the center of broad wall shared by two crossed rectangular waveguides and an asymmetric compound iris that excites the coupling slot. We first have obtained scattering parameters for the proposed coupler by use of EM S/W tool HFSS and then extracted the parameters of T- network equivalent circuit for the coupling slot. We also have analyzed the resonant properties such as resonant length and normalized admittance by changing the geometrical dimensions. The measured results for the fabricated coupler with short-circuited block ${\lambda}_g/4$ away from the coupling slot are well agreed with the simulated ones.

• Journal of Korean Institute of Industrial Engineers
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• v.37 no.4
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• pp.358-366
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• 2011

Multi-criteria ABC inventory classification, which aims to classify inventory items by considering more than one criterion, is one of the most widely employed techniques for inventory control. The weighted linear optimization (WLO) model proposed by Ramanathan (2006) solves the problem of multi-criteria ABC inventory classification by generating a set of criterion weights for each inventory item and assigning a normalized score to the item for ABC analysis. However, the WLO model has some limitations. First, many inventory items can share the same optimal score, which can hinder a precise classification of inventory items. Second, the model allows too much flexibility in weighting multiple criteria; each item is allowed to choose its own weights so that it can maximize its score. As a result, if an item dominates the others in terms of a certain criterion, it may be classified into a higher class regardless of other criteria by assigning an overwhelming weight to the criterion. Consequently, an item with a high value in an unimportant criterion and low values in others may be inappropriately classified as class A, leading to an inaccurate classification of inventory items. To overcome these shortcomings, we extend the WLO model by using the cross-efficiency method in data envelopment analysis. We claim that the proposed model can provide a more reasonable and accurate classification of inventory items by mitigating the adverse effect of flexibility in the choice of weights and yielding a unique ordering of inventory items.