• Journal of the Korean Institute of Intelligent Systems
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• v.19 no.6
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• pp.834-839
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• 2009

It is a key element that the problem of emotional feature extraction based on facial image to recognize a human emotion status. In this paper, we propose an Advanced AAM that is improved version of proposed Facial Expression Recognition Systems based on Bayesian Network by using FACS and AAM. This is a study about the most efficient method of optimal facial feature area for human emotion recognition about random user based on generalized HCI system environments. In order to perform such processes, we use a Statistical Shape Analysis at the normalized input image by using Advanced AAM and FACS as a facial expression and emotion status analysis program. And we study about the automatical emotional feature extraction about random user.

• Journal of Digital Convergence
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• v.11 no.10
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• pp.453-458
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• 2013

HMM Speech recognition systems have a few weaknesses, including failure to recognize speech due to the mixing of environment noise other voices. In this paper, we propose a speech feature extraction methode using CHMM for extracting selected target voice from mixture of voices and noises. we make use of channel similarity and correlate relation for the selective speech extraction composes. This proposed method was validated by showing that the average distortion of separation of the technique decreased by 0.430 dB. It was shown that the performance of the selective feature extraction is better than another system.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.7 no.8
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• pp.1802-1808
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• 2003

In this paper, we propose a method about the extraction of the pedestrian tracking trajectory in the road and we used the method of mosaic background extraction and adaptive neural network for automatic pedestrian tracking system. We used mosaic background extraction to overcome ghost phenomenon. And we detected pedestrian using differential image analysis. We used adaptive neural network for multiple pedestrian tracking that non­rigid form moving. The ART2 network is capable of detecting the mass­centers of moving objects within one frame. The history of neurons positions in the sequential frames approximates the traces of the targets. The experiments done with the network in simulated environment show promising results.

• The KIPS Transactions:PartB
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• v.10B no.1
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• pp.81-86
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• 2003

In this paper, we propose the tracking method of moving object which use extracted object by difference between background image and target image in fixed domain. As a extraction method of object, calculate not pixel of full image but predefined some edge pixel of image to get a position of new object. Since the center area Is excluded from calculation, the extraction time is efficiently reduced. To extract object in the predefined area, get a starting point in advance and then extract size of width and height of object. Central coordinate is used to track moved object.

• Proceedings of the Korean Vacuum Society Conference
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• 2000.02a
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• pp.185-185
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• 2000

플라즈마 연구 및 응용에서 플라즈마를 구성하는 이온에 대한 정보를 얻는 것은 중요하다. 특히 플라즈마 진단, 박막 증착, 플라즈마 코팅, 플라즈마 이온주입 등과 같은 플라즈마 프로세싱에서 이온들의 종류 구성비율 및 분포는 매우 중요하다. 질량분석기는 대개 큰 규모로 복잡하고 값비싼 경향이 있다. 플라즈마 교란을 최소화하면서 충분한 질량분해능을 갖고 국소적으로 이온들을 분석할 수 있는 간단하고 작은 규모의 값싼 질량분석기가 필요하다. 본 연구에서는 플라즈마 내에 존재하는 이온을 분석하기 위하여 간단하고 작은 규모의 값싼 프라즈마 이온 질량분석기를 설계, 제작하였다. 이온 질량분석기는 ion extraction part, double focusing sector magnet, ion collector로 구성되어 있다. 플라즈마에 잠기는 ion extraction part의 외부 전극에 Al2O3를 코팅하여 플라즈마 교란을 최소화하였다. 이온들의 공간적 분포를 측정하기 쉽게 하기 위하여 ion extraction part를 이동하여도 질량여과기를 통과한 후에 접속되는 초점의 위치가 Faraday ion collector 에 고정되도록 ion optical system을 설계하였다. Extracting electrode에 의하여 가속된 이온들이 sector magnet에 들어갈 때 평행이 되게 하기 위하여 여러 개의 미세구조를 갖는 Mo grids를 사용하고 immersion lens를 넣어서 이온 광학 시스템을 구성하였다. extraction electrode와 sector magnet 사이에 보조 electrode를 하나 더 넣어서 extracting electrode와 보조 electrode 사이에 immersion lens를 만들었다. 질량여과기로는 permanent magnet sector와 time-varying electrical field를 결합하여 사용하였다. Extracting electrode에 1kV 정도의 전압을 인가하여 이온들을 가속시키고 sector magnet에 톱니파 형태의 전압을 인가하여 mass spectrum을 얻었다. 이온 질량분석기를 플라즈마 장치에 적용하여 질량분해능 등의 특성을 연구하였다. Hot cathode discharge와 inductively coupled RF discharge에서 발생된 질소 플라즈마를 구성하는 이온들의 종류와 그 구성비율을 연구하였다.

• Applied Chemistry for Engineering
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• v.27 no.2
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• pp.217-220
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• 2016

Phytoestrogens are one of quasi-estrogens which are not generated within the endocrine system, but consumed by intaking phytoestrogenic plants. Phytoestrogens, also called as "dietary estrogens", are various botanic chemical compound groups naturally occurring nonsteroidal plant compounds of spontaneous generation. Due to their structural similarities to estrogone, they may provide desirable health benefits for reducing the menopausal symptoms. In this paper, various phytoestrogens were extracted from sophora root, pomegranate and kudzu by ultrasonic extraction process. In this study, the amount of extracted phytoestrogens at various ultrasonic power strengths and extraction times were compared, which could be used as basic data in the study of biology and chemistry related to natural products.

• The Journal of Advanced Prosthodontics
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• v.13 no.2
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• pp.117-125
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• 2021

PURPSE. The aim of this study was to evaluate the labio-lingual alterations of the alveolar bone where the implant was placed immediately after tooth extraction. MATERIALS AND METHODS. Implants were placed immediately after tooth extraction on anterior alveolar ridges in the maxilla and mandible. The pinguide system was used to help determine the location and path of implants during the surgical process. The horizontal distance from implants to the outer border of alveolar bone was measured at the rim and middle of the implants in the cone beam computed tomography images. The alteration of alveolar bone was evaluated comparing the horizontal distances measured immediately after surgery and 3 months after surgery. RESULTS. The results show that more resorption occurred towards the labial bone than the lingual bone in the maxilla. A similar amount of labial and lingual bone resorption was observed in the mandible. CONCLUSION. Considering the horizontal alteration of alveolar bone, labio-lingual positioning of the implant towards the lingual bone in the maxilla and at the center of the alveolar ridge in the mandible is recommended when it is placed immediately after tooth extraction.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.3
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• pp.259-267
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• 2023

At a time when the demand for drones is increasing, a plan to utilize drone images was sought for efficient promotion of cadastral resurvey. To achieve the purpose of this study, the technical and legal status of drone images was reviewed, and through this, the possibility of using it for cadastral resurvey was primarily reviewed. subsequently, an experiment was conducted targeting the project district to examine whether drone images were applied to boundary extraction, which is the primary process of cadastral resurvey. As a result of the experiment, it was found that boundary extraction from images is possible. However, in some cases, it is impossible due to field conditions or image quality. Therefore, it is necessary first to apply cases where boundary extraction is possible to cadastral resurvey and seek solutions for some impossible cases. In particular, the image quality problem may have problems with the current technology, but it will also have problems with the existing drone equipment. So, standard for drone calibration should also be established. Finally, the cadastral resurvey surveying procedure using drones was also presented

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.40 no.4
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• pp.193-205
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• 2003

There has been so many research activities about robot soccer system in the many research fields, for example, intelligent control, communication, computer technology, sensor technology, image processing, mechatronics. Especially researchers research strategy for attacking in the field of strategy, and develop intelligent strategy. Then, soccer robots cannot defense completely and efficiently by using simple defense strategy. Therefore, intention extraction of attacker is needed for efficient defense. In this thesis, intention extractor of soccer robots is designed and developed based on FMMNN(Fuzzy Min-Max Neural networks ). First, intention for soccer robot system is defined, and intention extraction for soccer robot system is explained.. Next, FMMNN based intention extractor for soccer robot system is determined. FMMNN is one of the pattern classification method and have several advantages: on-line adaptation, short training time, soft decision. Therefore, FMMNN is suitable for soccer robot system having dynamic environment. Observer extracts attack intention of opponents by using this intention exactor, and this intention extractor is also used for analyzing strategy of opponent team. The capability of developed intention extractor is verified by simulation of 3 vs. 3 robot succor simulator. It was confirmed that the rates of intention extraction each experiment increase.

• Journal of The Korean Association of Information Education
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• v.16 no.4
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• pp.483-488
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• 2012

As propagation of mobile smart devices is widespread, it is an observable trend that the cases of utilizing them are increasing in the school programs, and it is also anticipated that they will be very important part of the educational equipment in near future. For this reason the department of education and science technology has announced a medium and long term project on the education with smart device, which is undergoing the preparation stage, and the various academic and industrial institutes have actively produced the related research results and the application prototypes. In this paper we propose a framework on design and implementation of a visual context recognition system for educational purpose usable in the school program by utilizing a module for recognition of the texts embedded in the image captured by video camera from mobile smart device. The system proposed in this paper is consisted of the four modules, such as, image acquisition, image processing, information extraction, and knowledge representation, which are explained in details with the practical examples.