• 제목/요약/키워드: backward extraction

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Extraction behavior of $\alpha$-lactalbumin using reverse micellar system

  • Noda, Kazuki;Konishi, Taiji;Naoe, Kazumitsu;Kawagoe, Mikio;Imai, Masanao
    • 한국막학회:학술대회논문집
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    • 한국막학회 2004년도 Proceedings of the second conference of aseanian membrane society
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    • pp.179-182
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    • 2004
  • This study reports the extraction behavior of $\alpha$-lactalbumin using bis(2-ethylhexyl) sulfosuccinate sodium (AOT) reverse micelles. Forward extraction of $\alpha$-lactalbumin in the reverse micellar organic phase from aqueous feed solutions was strongly dependent on the AOT concentration and the complete forward extraction of 0.03 mM $\alpha$-lactalbumin was successfully achieved at an AOT concentration of ca. 100 mM. A similar dependency of the forward extraction on the AOT concentration was obtained in isooctane, n-hexane, and n-octane systems. In the backward extraction from the micellar organic phase, the recovery of the protein as high as ca. 90% was obtained with pH control and/or salt addition.

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제 1 소구치 발치를 동반한 제 I 급 치조성 양악 전돌 환자의 치료 전${\cdot}$후 비교에 관한 연구 (THE STUDY OF COMPARISON BEFORE AND AFTER ORTHODONTIC TREATMENT IN CLASS I BIALVEOLAR PROTRUSION CASES WITH FOUR BICUSPID EXTRACTION)

  • 김형돈;박영철
    • 대한치과교정학회지
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    • 제24권1호
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    • pp.149-159
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    • 1994
  • The purposes of present study were to evaluate changes in models and lateral cephalometric head films during orthodontic treatment and to compare the amount of incisal retraction and anterior movement of molars with the two approaches of the retraction method of canine(sectional canine retractions vs sliding canine retractions) and the anchorage management(head gears vs no head gears, transpalatal arches vs no transpalatal arches and lingual arches vs no lingual arches) and to evaluate changes during orthodontic treatment in models with relation to lateral cephalometric head films. 67 Korean women with Angle's Class I bialveolar protrusion were selected, whose initial chronologic age was above 16 yrs. Models and lateral cephalometric head films were taken before and after orthodontic treatment with four bicuspid extraction. the results were obtained as follows. 1. Significant decreases were observed in intermolar width, arch length and arch perimeter of maxilla and mandible but significant difference was not observed in intercanine width of maxilla and mandible during treatment period. 2. The linear change of the upper incisor to upper lip was 2.84:1 and the linear change of the lower incisor to lower lip was 1.45:1 3. There were no significant differences between the two groups(sectional canine retractions vs sliding canine retractions), the !we groups(transpalatal arches vs no transpalatal arches) and the two groups(lingual arches vs no lingual arches) in the amount of incisal retraction and anterior movement of molars. There were a greater amount of maxillary incisal retraction and a lesser amount of anterior movement of maxillary molars with the use of head gears than no use of head gears. 4. Changes during orthodontic treatment in models with relation to lateral cephalometric head films were obtained as follows : 1) Maxilla Central incisors were moved 3.79mm backward, canines were moved 0.22mm laterally and 3.70mm backward, and molars were moved 0.535mm medially and 2.29mm forward. 2) Mandible Central incisors were moved 3.04mm backward, canines were moved 0.145mm laterally and 3.92mm backward, and molars were moved 0.755mm medially and 1.77mm forward.

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Self-Evolving Expert Systems based on Fuzzy Neural Network and RDB Inference Engine

  • Kim, Jin-Sung
    • 지능정보연구
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    • 제9권2호
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    • pp.19-38
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    • 2003
  • In this research, we propose the mechanism to develop self-evolving expert systems (SEES) based on data mining (DM), fuzzy neural networks (FNN), and relational database (RDB)-driven forward/backward inference engine. Most researchers had tried to develop a text-oriented knowledge base (KB) and inference engine (IE). However, this approach had some limitations such as 1) automatic rule extraction, 2) manipulation of ambiguousness in knowledge, 3) expandability of knowledge base, and 4) speed of inference. To overcome these limitations, knowledge engineers had tried to develop an automatic knowledge extraction mechanism. As a result, the adaptability of the expert systems was improved. Nonetheless, they didn't suggest a hybrid and generalized solution to develop self-evolving expert systems. To this purpose, we propose an automatic knowledge acquisition and composite inference mechanism based on DM, FNN, and RDB-driven inference engine. Our proposed mechanism has five advantages. First, it can extract and reduce the specific domain knowledge from incomplete database by using data mining technology. Second, our proposed mechanism can manipulate the ambiguousness in knowledge by using fuzzy membership functions. Third, it can construct the relational knowledge base and expand the knowledge base unlimitedly with RDBMS (relational database management systems) module. Fourth, our proposed hybrid data mining mechanism can reflect both association rule-based logical inference and complicate fuzzy relationships. Fifth, RDB-driven forward and backward inference time is shorter than the traditional text-oriented inference time.

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Data Mining and FNN-Driven Knowledge Acquisition and Inference Mechanism for Developing A Self-Evolving Expert Systems

  • Kim, Jin-Sung
    • 한국산학기술학회:학술대회논문집
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    • 한국산학기술학회 2003년도 Proceeding
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    • pp.99-104
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    • 2003
  • In this research, we proposed the mechanism to develop self evolving expert systems (SEES) based on data mining (DM), fuzzy neural networks (FNN), and relational database (RDB)-driven forward/backward inference engine. Most former researchers tried to develop a text-oriented knowledge base (KB) and inference engine (IE). However, thy have some limitations such as 1) automatic rule extraction, 2) manipulation of ambiguousness in knowledge, 3) expandability of knowledge base, and 4) speed of inference. To overcome these limitations, many of researchers had tried to develop an automatic knowledge extraction and refining mechanisms. As a result, the adaptability of the expert systems was improved. Nonetheless, they didn't suggest a hybrid and generalized solution to develop self-evolving expert systems. To this purpose, in this study, we propose an automatic knowledge acquisition and composite inference mechanism based on DM, FNN, and RDB-driven inference. Our proposed mechanism has five advantages empirically. First, it could extract and reduce the specific domain knowledge from incomplete database by using data mining algorithm. Second, our proposed mechanism could manipulate the ambiguousness in knowledge by using fuzzy membership functions. Third, it could construct the relational knowledge base and expand the knowledge base unlimitedly with RDBMS (relational database management systems). Fourth, our proposed hybrid data mining mechanism can reflect both association rule-based logical inference and complicate fuzzy logic. Fifth, RDB-driven forward and backward inference is faster than the traditional text-oriented inference.

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한국어 음성인식 플랫폼 개발현황 (Status Report on the Korean Speech Recognition Platform)

  • 권오욱;권석봉;장규철;윤성락;김용래;장광동;김희린;유창동;김봉완;이용주
    • 대한음성학회:학술대회논문집
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    • 대한음성학회 2005년도 추계 학술대회 발표논문집
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    • pp.215-218
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    • 2005
  • This paper reports the current status of development of the Korean speech recognition platform (ECHOS). We implement new modules including ETSI feature extraction, backward search with trigram, and utterance verification. The ETSI feature extraction module is implemented by converting the public software to an object-oriented program. We show that trigram language modeling in the backward search pass reduces the word error rate from 23.5% to 22% on a large vocabulary continuous speech recognition task. We confirm the utterance verification module by examining word graphs with confidence score.

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밝기기반 양방향 탐색기법의 신뢰전파 스테레오 알고리즘을 이용한 물체 추출 기법 (Object Extraction technique Using Belief Propagation Stereo Algorithm of Bidirectional Search based on Brightness)

  • 최영석;최경석;강현수
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2007년도 하계종합학술대회 논문집
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    • pp.313-314
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    • 2007
  • In this paper, we suggest robust object extraction algorithm taking advantage of efficient Belief Propagation method. It does not get a disparity information because of uniform region and occlusion region etc. on initial depth map that use forward direction disparity information although is object area. Therefore, We run parallel backward disparity information and brightness information for certain object extraction.

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Angle씨 Ⅲ급 부정교합의 치험례 (A CASE REPORT OF ANGLE'S CLASSⅢ MALOCCLUSION)

  • 이희조;서정훈
    • 대한치과의사협회지
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    • 제13권10호
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    • pp.929-933
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    • 1975
  • A girl aged 15 years 6 months, had a class Ⅲ malocclusion characterized by severe maxillary anterior crowding and a retarded maxilla. Molar relationship was class Ⅲ on both sides, incisor overjet was - 2.9mm. and incisor overbite was 5.5mm. The patient underwent extraction of four first premolars and was trested with a multi-banded light force system. After 13 months, the patient gained a normal verbite-overjet relationship of anterior teeth and a class 1 molar relationship. Superimposition of pretreatment and posttreatment cephalograms upon the line SN registered at S showed backward downward rotation of the mandible.

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Extraction of the elemental images of object With variant perspectivity at computational integral imaging

  • Lee, Guen-Sik;Hwang, Yong-Seok;Kim, Eun-Soo
    • 한국정보디스플레이학회:학술대회논문집
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    • 한국정보디스플레이학회 2009년도 9th International Meeting on Information Display
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    • pp.1258-1260
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    • 2009
  • Generally, if we want to change the perspectivity of objects, we should change the position of object or camera, forward or backward. In this paper, recognition of the perspectivity of objects is proposed by using a new elemental image array which is made change the pinhole points horizontally.

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역미셀을 이용한 Lysozyme 추출 최적조건 (Optimum Conditions of Lysozyme Extraction Using Reversed Micelles)

  • 전병수;김석규;윤성옥;송승구
    • KSBB Journal
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    • 제14권6호
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    • pp.661-664
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    • 1999
  • Lysozyme 수용액으로부터 역미셀을 이용한 Lysozyme 추출공정에서 주요변수인 pH, 이온강도, AOT 농도, 추출시간 등을 실험을 통하여 연구하였으며, 미셀내의 수분함량과 lysozyme 농도는 비례관계임을 KCl 농도변화에 따른 결과로서 알 수 있었다. 본 연구에 사용된 lysozyme의 등전점이 약 11.2로 음이온 계면활성제를 사용할 경우 추출공정에 유리함을 알 수 있었고, 추출공정(forward extraction)에서의 최적조건은 pH 6-9일 때, 그리고 0.1 M 염농도와 50 mM이하의 AOT 농도에서 가장 높은 lysozyme 추출 효율을 얻을 수 있었다. 그리고 역추출(back extraction)에서는 pH 12이상, 1M 염농도에서 Lysozyme의 가장 높은 추출 효율을 나타내었다.

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하악골에 발생한 Ameloblastoma의 증례 (A CASE REPORT OF AMELOBLASTOMA OF THE MANDIBLE)

  • 김석환
    • 대한치과의사협회지
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    • 제16권4호통권107호
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    • pp.279-282
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    • 1978
  • A girl aged 16 years and I month, had a severe Angle's class III malocclusion, characterized by a retarded and constricted maxilla, anterior and posterior crossbite. This patient underwent extraction of two lower Ist premolar. After extraction, author placed multibanded system in lower dental arch to change the long axis of anterior teeth and delivered removable appliance with Coffin spring in the upper dental arch to expand dental arch. After 13 months, anterior & posterior crossbite was corrected and this patient's profile was improved. Superimposition of pretreatment and posttreatment cephalograms upon the SN line registered at S showed backward downward rotation of the mandible and retrusion of lower lip.

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