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《영추(靈樞)·경맥(經脈)》의 촌구인영맥진(寸口人迎脈診)에 관(關)한 연구(硏究) (A study on diagnosis method by chonguinyoung pulse(寸口人迎脈診) based on 《Youngchu·Kyoungmaek 靈樞·經脈》)

  • 신광순;장준혁;윤종화
    • Journal of Acupuncture Research
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    • 제19권1호
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    • pp.203-209
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    • 2002
  • Objective : The chonguinyoung pulse diagnosis method is convenient than twelve meridian pulse diagnosis method The $\ll$Maek-bup(脉法)$\gg$ are founded at Mawangtweo(馬王堆) of the han dynasty tomb in 1973, but it could diagnosis the exsitance of illness of twelve meridian also . Methods : In accordance to $\ll$Naekuoung(內經)$\gg$ inyoungmaek(人迎脈) in could be taken at the which is the pulse point of carotid artery on the line of foot yangmyoung stomach meridian (足陽明胃經) and chongumaek (寸口脈) at the taeyoun acu-point (太淵穴) pulse point on the line of hand taeyeun lung meridian (手太陰肺經). Results : Chonguinyoung pulse diagnosis method could be emphased on the point of diagnosing sick person and healthy person by the balance of yin (陰) yan (陽) composition in the body. Conclusion : Chonguinyoung pulse diagnosis method could be the indication of improvement and progress of disease also it could be adapt to diagnosis of twelve meridian and it is impossible to making choice of acupuncture, medication, moxibustion, vene-section and strengthing-eleminating treatment method (補瀉方法).

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Efficient point cloud data processing in shipbuilding: Reformative component extraction method and registration method

  • Sun, Jingyu;Hiekata, Kazuo;Yamato, Hiroyuki;Nakagaki, Norito;Sugawara, Akiyoshi
    • Journal of Computational Design and Engineering
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    • 제1권3호
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    • pp.202-212
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    • 2014
  • To survive in the current shipbuilding industry, it is of vital importance for shipyards to have the ship components' accuracy evaluated efficiently during most of the manufacturing steps. Evaluating components' accuracy by comparing each component's point cloud data scanned by laser scanners and the ship's design data formatted in CAD cannot be processed efficiently when (1) extract components from point cloud data include irregular obstacles endogenously, or when (2) registration of the two data sets have no clear direction setting. This paper presents reformative point cloud data processing methods to solve these problems. K-d tree construction of the point cloud data fastens a neighbor searching of each point. Region growing method performed on the neighbor points of the seed point extracts the continuous part of the component, while curved surface fitting and B-spline curved line fitting at the edge of the continuous part recognize the neighbor domains of the same component divided by obstacles' shadows. The ICP (Iterative Closest Point) algorithm conducts a registration of the two sets of data after the proper registration's direction is decided by principal component analysis. By experiments conducted at the shipyard, 200 curved shell plates are extracted from the scanned point cloud data, and registrations are conducted between them and the designed CAD data using the proposed methods for an accuracy evaluation. Results show that the methods proposed in this paper support the accuracy evaluation targeted point cloud data processing efficiently in practice.

IEEE 802.16e OFDMA/TDD 이동국 모뎀의 링크 성능과 복잡도 최적화를 위한 부동 및 고정 소수점 설계 (Optimization of Link-level Performance and Complexity for the Floating-point and Fixed-point Designs of IEEE 802.16e OFDMA/TDD Mobile Modem)

  • 선태형;강승원;김규현;장경희
    • 대한전자공학회논문지TC
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    • 제43권11호
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    • pp.95-117
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    • 2006
  • 본 논문에서는 IEEE 802.16e OFDMA/TDD 이동국 모뎀의 링크 성능과 복잡도 최적화를 위한 부동 및 고정 소수점 설계에 대하여 논한다. 부동 소수점 설계에서는 이동국 모뎀에서 하향링크 트래픽 채널의 채널 추정 방법을 제안하고, 모의실험을 통하여 최적의 알고리즘을 선정한다. 그리고 시간 및 주파수 동기화, Digital Front End와 CINR 추정 기법에 관하여 성능 향상과 시스템을 최적화하기 위한 알고리즘을 제안하고, 상향링크의 트래픽 채널과 제어 채널의 부동 소수점 설계 방법을 논한다. 제안된 알고리즘은 IEEE 802.16e OFDMA/TDD 시스템에 적용하여, 모의실험을 통한 성능을 Detection Probability, Mean Acqusition Time, PER 성능 그래프 등으로 그 우수성을 검증한다. 고정 소수점 설계에서는 부동 소수점 설계로부터 최적의 고정 소수점 설계를 위한 효율적인 방법론을 제시한다. 그리고 하향링크와 상향링크의 트래픽 채널, 시간 및 주파수 동기, DFE 블록을 고정 소수점 설계하고, 모의실험을 통하여 성능과 복잡도 간의 tradeoff 관계를 최적화한다.

실시간 이미지매칭을 위한 특징점 검출에 관한 연구 (A study on detection KeyPoint for real-time Image)

  • 박이근;김종민;김경호;이웅기
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2009년도 추계학술발표대회
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    • pp.285-286
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    • 2009
  • 본 논문은 실시간 이미지 매칭을 위한 빠른 BLoG 특징점 검출방법을 제안하고 이미지 크기, 회전변화등 다양한 실험을 통하여 기존 방법과 속도와 연산량 그리고 검출 성능에 대하여 비교하고 앞으로 나아갈 방향에 대하여 제시한다.

RANSAC을 이용한 실외 도로 환경의 소실점 예측 방법 (The Method of Vanishing Point Estimation in Natural Environment using RANSAC)

  • 원선희;주성일;최형일
    • 한국컴퓨터정보학회논문지
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    • 제18권9호
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    • pp.53-62
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    • 2013
  • 본 논문에서는 입력된 자연영상으로부터 도로 영역을 검출하기 위한 소실점 자동 예측 방법을 제안한다. 제안하는 방법에서는 도로 환경에서 안정적으로 소실점을 검출하기 위해 영상의 주방향성을 분석하여 영상 특징성분들이 집중되는 곳을 소실점으로 예측한다. 이를 위해 첫번째 단계에서는, 영상을 일정크기의 서브블록으로 분할하고 분할된 서브블록 내에서 임의의 에지 샘플을 선택하고 RANSAC을 적용하여 직선 모델을 예측함으로서 각 서브블록의 주방향성을 분석한다. 모든 블록에 대하여 주방향성을 검출한 후, 두 번째 단계에서 임의의 직선 샘플을 선택하고 RANSAC을 적용하여 교점 모델을 예측함으로서 각 직선들로 인한 교점 모델의 비용값을 측정하고 가장 높은 비용값의 교점 모델에 의한 평균점으로 소실점을 예측한다. 마지막으로 성능 검증을 위해 다양한 상황에 따른 정량적, 정성적 분석을 통해 제안하는 소실점 검출 알고리즘의 타당성과 효율성을 입증한다.

IEEE 802.16e OFDMA TDD 시스템 하향링크 트래픽 채널의 Fixed-point 구현 방법론 (Fixed-point Implementation for Downlink Traffic Channel of IEEE 802.16e OFDMA TDD System)

  • 김규현;선태형;왕우붕;장경희;박형일;어익수
    • 한국통신학회논문지
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    • 제31권6A호
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    • pp.593-602
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    • 2006
  • 본 논문에서는 IEEE 802.16e에 기반한 OFDMA TDD 시스템 하향 링크 트래픽 채널의 fixed-point 구현을 위해 Floating-point 모델로부터 성능 열화와 하드웨어 복잡도를 최소화 할 수 있도록 적절한 비트 사이즈를 결정하는 방법론에 대하여 기술한다. Fixed-point 구현에 있어서 여러 가지 고려 사항 중 하나는 비트 사이즈를 절사하는 방법에 따른 Saturation과 Quantization의 선택이며, 반드시 주의해야 할 점은 신호의 분포를 정확히 파악한 후 신호의 분포에 맞도록 Saturation과 Quantization 중 하나의 비트 절사방법을 적절히 적용시켜야 한다는 점이다. 또한, 시행착오를 거치면서 여러 비트 사이즈에 대하여 모의 실험을 수행하여야만 성능 열화를 최소화 하면서 원하는 비트 사이즈를 얻을 수 있다. 본 논문에서는 수신단의 트래픽 채널에 최적화된 비트 사이즈를 결정하기 위하여 AWGN 및 ITU-R M.1225의 Veh-A 채널 환경에서 컴퓨터 모의 실험을 수행한다.

Establishment of Optimum Deposition Time in Electrophoretic Deposition

  • Kim, Sun-Il;Cho, Sung-Hwan;Lee, Jung-Ki;Kim, Hyung-Sun
    • 한국재료학회:학술대회논문집
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    • 한국재료학회 2012년도 춘계학술발표대회
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    • pp.107.2-107.2
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    • 2012
  • We used the electrophoretic deposition (EPD) process to fabricate a glass composite and investigated the EPD parameters to find the optimum deposition time by understanding the relationship among the process parameters of zeta potential (ZP), pH, deposition yield and saturation point. A binder and a dispersing agent were mixed properly with glass frit ($0.2{\sim}25{\mu}m$, d50=$8.77{\mu}m$) in an ethyl alcohol medium for the preparation of the slurry. The pH and ZP were in an inverse relationship to each other due to the generation of $H_3O^+$ ions with the addition of the dispersing agent in the slurry. The acidic nature of the dispersing agent was resulted in a decrease of the pH and an increase of the ZP. Otherwise, the pH increased with the addition of the glass frit in the slurry because $H_3O^+$ ions were absorbed on the glass frit. Therefore, the $OH^-$ ions correspondingly increased. The saturation point of EPD was strongly correlated with the variation of the pH in the slurry; this is caused by a chemical reaction between the ethyl alcohol and the ions that make up the glass frit. An adjustment of the pH variation and the saturation point in the slurry can be established with respect to the optimum deposition time in the slurry.

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시화호 유입 지천의 지표수와 퇴적물 용출수가 수서 지표생물에 미치는 급.만성 생태 독성 영향 (Aquatic Toxicity Evaluation of Sediment Elutriate and Surface Water in Streams Entering Lake Shihwa)

  • 박예나;김선미;한선영;이지연;이진영;박윤석;윤충식;최경호
    • Environmental Analysis Health and Toxicology
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    • 제23권4호
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    • pp.267-276
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    • 2008
  • Acute and chronic toxicities of sediment elutriate and surface water samples collected at Lake Shihwa were evaluated using standard toxicity testing organisms including Vibrio fischeri, Daphnia magna and Moina macrocopa. Acute exposure resulted in toxic effects in all surface water or sediment elutriate samples, except for those collected from the reed swamp and Okgu stream. The rainy season influenced the toxicity of the water samples, presumably either by dilution of point discharge or through introduction of non-point source contaminants through runoff. In the sediment, elutriate and surface water samples, copper was detected above potentially lethal concentration, which may in part explain the observed toxicity. Considering acute toxicities of the surface water streams that direct to the Lake Shihwa, efforts should be warranted to control and reduce discharge of point and non-point sources along Lake Shihwa.

The Characteristics of Electrocardiography Findings in Left Ventricular Remodeling Patterns of Hypertensive Patients

  • Choi, Sun Young
    • 대한의생명과학회지
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    • 제21권4호
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    • pp.208-217
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    • 2015
  • The exact diagnosis of left ventricular hypertrophy (LVH) is very important in the treatment of hypertension. The purpose of our study is to determine the relationship between left ventricular remodeling patterns and electrocardiography (ECG) findings in hypertensive patients. We divided 137 patients into four groups according to left ventricular mass index (LVMI) and the relative wall thickness: normal, concentric remodeling, concentric hypertrophy, eccentric hypertrophy. LVH on the ECG was defined by three ECG criteria: Sokolow-Lyon voltage criteria, Cornell voltage criteria and Romhilt-Estes point score. LVH on the echocardiography was defined by LVMI. The prevalence of ECG LVH was increased in concentric hypertrophy and eccentric hypertrophy group. The QRS voltages by Sokolow-Lyon voltage criteria (r = 0.494, P = 0.002) and Cornell voltage criteria (r = 0.628, P < 0.001), and Romhilt-Estes point score (r = 0.689, P < 0.001) were positively correlated with LVMI. Also, the QRS voltages and point scores were significantly increased in the concentric hypertrophy and eccentric hypertrophy group with increased LVMI. The QRS voltage and Romhilt-Estes point scores were positively correlated with LVMI. The QRS voltages and Romhilt-Estes point scores were also increased in the left ventricular remodeling groups with increased LVMI.

Smart Thermostat based on Machine Learning and Rule Engine

  • Tran, Quoc Bao Huy;Chung, Sun-Tae
    • 한국멀티미디어학회논문지
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    • 제23권2호
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    • pp.155-165
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    • 2020
  • In this paper, we propose a smart thermostat temperature set-point control method based on machine learning and rule engine, which controls thermostat's temperature set-point so that it can achieve energy savings as much as possible without sacrifice of occupants' comfort while users' preference usage pattern is respected. First, the proposed method periodically mines data about how user likes for heating (winter)/cooling (summer) his or her home by learning his or her usage pattern of setting temperature set-point of the thermostat during the past several weeks. Then, from this learning, the proposed method establishes a weekly schedule about temperature setting. Next, by referring to thermal comfort chart by ASHRAE, it makes rules about how to adjust temperature set-points as much as low (winter) or high (summer) while the newly adjusted temperature set-point satisfies thermal comfort zone for predicted humidity. In order to make rules work on time or events, we adopt rule engine so that it can achieve energy savings properly without sacrifice of occupants' comfort. Through experiments, it is shown that the proposed smart thermostat temperature set-point control method can achieve better energy savings while keeping human comfort compared to other conventional thermostat.