• Journal of Korea Multimedia Society
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• v.20 no.5
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• pp.758-768
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• 2017

In this paper, we present a novel method to extract face representation based on multi-resolution spatial pyramid. In our method, a face is subdivided into increasingly finer sub-regions (local regions) and represented at multiple levels of histogram representations. To cope with misaligned problem, patch-based local descriptor extraction has been also developed in a novel way. To preserve multiple levels of detail in local characteristics and also encode holistic spatial configuration, histograms from all levels of spatial pyramid are integrated by using dimensionality reduction and feature combination, leading to our spatial-pyramid face feature representation. We incorporate our proposed face features into general face recognition pipeline and achieve state-of-the-art results on challenging face recognition problems.

• Journal of The Korean Dental Society of Anesthesiology
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• v.4 no.1 s.6
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• pp.13-16
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• 2004

Background: Articaine, a new amide-type local anesthetic, was recently commercially available in Korea. The purpose of this study was to compare the anesthetic efficacy between articaine HCl and lidocaine HCl for the surgical extraction of bilateral mandibular impacted third molars. Patients and Methods: Forty young and healthy patients with bilateral impacted third molars were selected with permission. Randomly, one side of impacted third molar was operated under local anesthesia using 4% articaine and the other side under 2% lidocaine after 1 or 2 week recovery time. Intraoperative pain was evaluated via 0-10 cm visual analog scale (VAS) by both the patient and operator immediately after the operation. After 1 day and 7 days, the complications of local anesthesia were checked. Results: The pain VAS scores in articaine group, evaluated by both the patient and operator, were lower than those in lidocaine group, but they were not statistically significant (P = 0.44 and 0.54, respectively). The incidence of complications of local anesthesia between articaine and lidocaine was similar. Conclusion: In this study, articaine showed at least equal efficacy compared to lidocaine. The further dose-controlled study with more pharmacokinetic parameters will be needed.

• Journal of Biosystems Engineering
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• v.26 no.1
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• pp.21-28
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• 2001

Major deficiencies of current automation scheme including various robots for bioproduction include the lack of task adaptability and real time processing, low job performance for diverse tasks, and the lack of robustness of take results, high system cost, failure of the credit from the operator, and so on. This paper proposed a scheme that could solve the current limitation of task abilities of conventional computer controlled automatic system. The proposed scheme is the man-machine hybrid automation via tele-operation which can handle various bioproduction processes. And it was classified into two categories. One category was the efficient task sharing between operator and CCM(computer controlled machine). The other was the efficient interface between operator and CCM. To realize the proposed concept, task of the object identification and extraction of 3D coordinate of an object was selected. 3D coordinate information was obtained from camera calibration using camera as a measurement device. Two stereo images were obtained by moving a camera certain distance in horizontal direction normal to focal axis and by acquiring two images at different locations. Transformation matrix for camera calibration was obtained via least square error approach using specified 6 known pairs of data points in 2D image and 3D world space. 3D world coordinate was obtained from two sets of image pixel coordinates of both camera images with calibrated transformation matrix. As an interface system between operator and CCM, a touch pad screen mounted on the monitor and remotely captured imaging system were used. Object indication was done by the operator’s finger touch to the captured image using the touch pad screen. A certain size of local image processing area was specified after the touch was made. And image processing was performed with the specified local area to extract desired features of the object. An MS Windows based interface software was developed using Visual C++6.0. The software was developed with four modules such as remote image acquisiton module, task command module, local image processing module and 3D coordinate extraction module. Proposed scheme shoed the feasibility of real time processing, robust and precise object identification, and adaptability of various job and environments though selected sample tasks.

• Korean Journal of Oriental Medicine
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• v.5 no.1
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• pp.59-72
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• 1999

Vibrio are become prevailing if superficial temperature of ocean is raised and their activities of area are expanded and most of ocean creatures(fishes, oysters etc) are polluted with vibrio. The one who has taken these poluted fishes and aysters uncooked caused foodpoisoning and diarrhea from Vibrio. Frequencies of these diseases breakout is disposed in westsea shore of Korea. According to ancient and traditional Korean medical book -${\ulcorner}$Bangyak Happyeon${\lrcorner}$(Collection of Local Medicines, 1884) - and their single prescribes, we carried out experiment check the activities of natural medicinal effects on Vibrio parahemolyticus. The prescriptions of trial materials are processed from extraction boiling water and 80% methanol and followed freeze dried and adsorbed to every discs in dosage of 10mg. Gentamycin of 10mg were used for control. The result of compound prescription displayed special diseases in antimicrobial activities of boiling water and MeOH extraction compared with control. In compound prescription, extraction MeOH of Sashinhwan(clear zone : 17mm) presented extraordinaire antimicrobial activity. In single prescription, extraction of boiling water(clear zone : 16mm) and MeOH(clear zone : 18mm) of Fructus Chebulae presented extraordinaire antimicrobial activity. The MBC of Fructus Chebulae extracts was expressed in boiling water(1.28mg/ml) and MeOH(0.64mg/ml).

• Journal of Information Processing Systems
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• v.16 no.2
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• pp.343-359
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• 2020

In this paper, a new algorithm is proposed for three-dimensional (3D) shape recognition using local features of model views and its sparse representation. The algorithm starts with the normalization of 3D models and the extraction of 2D views from uniformly distributed viewpoints. Consequently, the 2D views are stacked over each other to from view cubes. The algorithm employs the descriptors of 3D local features in the view cubes after applying Gabor filters in various directions as the initial features for 3D shape recognition. In the training stage, we store some 3D local features to build the prototype dictionary of local features. To extract an intermediate feature vector, we measure the similarity between the local descriptors of a shape model and the local features of the prototype dictionary. We represent the intermediate feature vectors of 3D models in the sparse domain to obtain the final descriptors of the models. Finally, support vector machine classifiers are used to recognize the 3D models. Experimental results using the Princeton Shape Benchmark database showed the average recognition rate of 89.7% using 20 views. We compared the proposed approach with state-of-the-art approaches and the results showed the effectiveness of the proposed algorithm.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.5
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• pp.1766-1784
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• 2014

Finger vein images contain rich oriented features. Local line binary pattern (LLBP) is a good oriented feature representation method extended from local binary pattern (LBP), but it is limited in that it can only extract horizontal and vertical line patterns, so effective information in an image may not be exploited and fully utilized. In this paper, an orientation-selectable LLBP method, called generalized local line binary pattern (GLLBP), is proposed for finger vein recognition. GLLBP extends LLBP for line pattern extraction into any orientation. To effectually improve the matching accuracy, the soft power metric is employed to calculate the matching score. Furthermore, to fully utilize the oriented features in an image, the matching scores from the line patterns with the best discriminative ability are fused using the Hamacher rule to achieve the final matching score for the last recognition. Experimental results on our database, MMCBNU_6000, show that the proposed method performs much better than state-of-the-art algorithms that use the oriented features and local features, such as LBP, LLBP, Gabor filter, steerable filter and local direction code (LDC).

• Journal of Dental Anesthesia and Pain Medicine
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• v.22 no.5
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• pp.387-394
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• 2022

Background: Dental pain management is an important aspect of patient management in pediatric dentistry. Articaine is considered the most successful anesthetic agent for infiltration anesthesia. Buffered articaine has been observed to have faster onset and longer duration of action with less pain on injection. The aim of this study was to evaluate and compare pain on injection, onset of action, and pain during extraction using buffered (using Sodium bicarbonate (NaHCO₃)) and non-buffered 4% articaine (with 1:100000 adrenaline) infiltrations for primary maxillary molar extractions in 4-10-year-old children. Methods: Seventy children who required extraction of maxillary primary molars were enrolled in this triple-blind randomized study. Children undergoing extraction were randomly divided into two groups, with 35 in each group. The study group was the buffered articaine group; the control group was the non-buffered articaine group. Buccal and palatal infiltrations were administered with either buffered or non-buffered articaine. Subjective evaluation was done for pain on injection, pain during extraction using Wong-Baker Faces Pain Rating Scale (WBFPR) and onset of anesthesia in seconds. Pain on injection, pain during extraction were objectively evaluated using Sound Eye Motor (SEM) scale and onset of anesthesia was also evaluated objectively by pricking with sharp dental probe. Results: The outcome was, significantly less pain on injection and significantly faster onset of anesthesia with significantly less pain during extraction for both subjective and objective evaluations in the buffered articaine group. Subgroup analysis was also performed and it showed variable results, with only significant difference for WBFPR scores in age subgroup 4-7 years for palatal infiltration. Conclusion: Less pain on injection, faster onset of anesthesia, and less pain during extraction were observed when buffered articaine was used for maxillary primary molar extraction.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.1
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• pp.123-144
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• 2014

Wireless sensor networks are generally deployed for specific applications to accomplish certain objectives over a period of time. To fulfill these objectives, it is crucial that the sensor network continues to function for a long time, even if some of its nodes become faulty. Energy efficiency and fault tolerance are undoubtedly the most crucial requirements for the design of an information extraction protocol for any sensor network application. However, most existing software agent based information extraction protocols are incapable of satisfying these requirements because of static agent itineraries and large agent sizes. This paper proposes an Information Extraction protocol based on Multiple software Agents with Dynamic Itineraries (IEMADI), where multiple software agents are dispatched in parallel to perform tasks based on the query assigned to them. IEMADI decides the itinerary for an agent dynamically at each hop using local information. Through mathematical analysis and simulation, we compare the performance of IEMADI with a well known static itinerary based protocol with respect to energy consumption and response time. The results show that IEMADI provides better performance than the static itinerary based protocols.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2010.11a
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• pp.184-187
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• 2010

본 논문에서는 움직임 추정(Motion Estimation, ME), 색상 라벨링(Labeling) 그리고 Non-Local means 필터 등을 이용하여 2D 영상을 3D 입체 영상으로 변환하는 기법을 제안한다. 제안하는 기법에서는 프레임 간의 움직임 추정 방법을 사용하여 물체의 움직임 벡터를 추출하며 색상 라벨링 작업을 통해 세밀한 객체를 추출한다. 객체를 추출한 후 영상을 이동시켜서 우영상을 생성한다. 우 영상을 생성하는 과정에서 채워지지 않은 화소들이 발생하는데 전체 화소의 상관도를 고려하는 Non-local means 필터를 사용하여 이 부분을 처리한다. 생성된 우 영상과 원본 영상인 좌 영상으로 비월주사(interlace)하여 최종 3D 입체 영상을 생성한다.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2003.06a
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• pp.176-180
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• 2003

The paper presents an efficient method of extracting line segment in a local map of a robot's surroundings. The local map is composed of 2-D grids that have both the occupancy and orientation probabilities using sonar sensors. To find the shape of an object in a local map from orientation information, the orientations are clustered into several groups according to their values. The line segment is , then, extracted from the clusters based on Hough transform. The proposed technique is illustrated by experiments in an indoor environment.