• Title/Summary/Keyword: period classification

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Double Valve Replacement: report of 5 cases (연합판막질환의 판치환수술)

  • 노중기
    • Journal of Chest Surgery
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    • v.12 no.4
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    • pp.355-360
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    • 1979
  • Mitral and aortic valve replacement with tricuspid annuloplasty was undertaken in 5 patients out of 38 valvular surgery between the period from Jan. 1977 to May 1979 in the Dept. of Thoracic and Cardiovascular Surgery in Korea University Hospital. All were male patients with age ranging from 18 to 42 years, and preoperative evaluation revealed one case in Class IV, and four cases in Class III according to the classification of NYHA. Preoperative diagnosis was confirmed by routine cardiac study including retrograde aorto- and left ventriculography, and there were two cases with MSi+ASi+Ti, two cases with MSi+Ai+Ti, and one case with Mi+Ai+Ti. Double valve replacement was performed under the hypothermic cardiopulmonary bypass with total pump time of 247 min. in average ranging from 206 min. to 268 min. During aortic valve replacement, left coronary perfusion was done in the first two cases, and cardiac arrest with cardioplegic solution proposed by Bretschneider was applied in the remained three cases. Starr-Edwards, Bjork-Shiley prosthetic valves and Carpentier-Edwards tissue valve were replaced in the aortic area, and Carpentier-Edwards and Angell-Shiley tissue valves were replaced in the mitral area with each individual combination [three prosthetic and two tissue valves in the aortic, and five tissue valves in the mitral area respectively]. Postoperative recovery was uneventful in all cases except one case with hemopericardium, which was managed with pericardiectomy on the postoperative 10th day in good result. Follow-up after double valve replacement of the all five cases for the period from 6 months to 33 months revealed satisfactory adaptation in social activity and occupation with cardiac function of Class I according to the classification of NYHA In all five cases.

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Aerodynamic Evaluation of Voice Changes in Thyroid Surgery Extent (갑상선 수술 범위와 공기역학적 음성 지표 변화)

  • Jeong, Hee Seok;Kim, Joong Sun;Lee, Chang-Yoon;Son, Hee Young
    • Journal of the Korean Society of Laryngology, Phoniatrics and Logopedics
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    • v.29 no.1
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    • pp.24-29
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    • 2018
  • Background and Objectives : The purpose of this study was to evaluate the impact of surgical extent on voice using acoustic and aerodynamic measurements in a serially followed thyroidectomy patients. Materials and Method : From October 2015 to January 2017, 108 patients who had undergone thyroid surgery and voice test for preoperative, 2, 3, and 6 months postoperatively were classified into five operative types. The radiological stage preoperatively and histopathological stage postoperatively were classified according to the invasion of thyroid capsule and surrounding tissue. For each classification, the results of the voice analysis according to the period were compared and analyzed. Results : The difference of voice according to surgical extent, radiological stage, and histopathologic stage showed significant difference only with Maximal phonation time (MPT) over time. However, in the analysis of interaction between each classification and period, Phonation threshold pressure (PTP) only showed significant results. Conclusion : Differences in imaging and histopathologic stages have no significant effect on recovery of voice symptoms after thyroid surgery. As the extent of operation increases, the pressure to start vocalization is relatively higher, which also varies with time after surgery.

Chracteristics of Somatotype for Boys of Elementary School Age I - In point of the Characteristics of Changing Somatotype in each period of Elementary School Age- (학령기 남아의 체형특성 I - 학령기별 체형변이특성을 중심으로-)

  • Yeo, Hye-Rin;Kwon, Young-Suk
    • Journal of the Korean Society of Costume
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    • v.46
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    • pp.31-48
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    • 1999
  • The purpose of this study is to offer fundamental data for classification of somatotype for boys of elementary school age. The subject were 458 elementary school boys aged from 7 to 12 living in Pusan. Data were collected by 56 anthropometric 11 photoraphic measurements and 41 body indices. 56 anthropometric measurements were analyzed by ANOVA and method of Duncan-test as Multiple Range Test among 6 grade groups and then total 108 measurments were analyzed by statistical data processing. The results are as followings: 1, In Duncan-test boys were significantly different in most of height and length items but were not significantly different in main items for clothing construction among 1.2/3.4/5.6 grades so that the period of elementary school age were divided with 3 periods. 2. According to increase school age most of item's means increased gradually and personal difference for each items increased too. In case of height and length items the items of lower half were greater than the items of upper half in personal difference and depth items were greater than the breadth items in personal difference. And weight and angle items were very great personal difference is specially.

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The Characteristics of Traffic Accident Admission Patients in Oriental Medicine Hospital (한방병원에 입원한 교통사고 환자의 일반적 특성)

  • Kim, Se-Jong;Kang, Jun-Hyuk;Park, Jang-Woo;Hong, Seo-Young;Heo, Dong-Suk;Yoon, Il-Ji;Oh, Min-Seok
    • Journal of Pharmacopuncture
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    • v.10 no.2 s.23
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    • pp.133-137
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    • 2007
  • Objectives : This study was conducted to classify the TA(traffic accident) patients who admissed in Oriental Medical Hospital. Methods : We divided TA patients who admissed in Oriental Medical Hospital by age, sex, visited period after onset, impact region, disease, and chief complaint according to a patient classification table, and analyzed their characteristics. Results and Conclusion : The patients who visited within 1 week after TA numbered most(65.4%) in classification by period. Most impact region was neck(80%). Most of TA patients were suffered and treated by cervical(80%) and lumbar(56.9%) sprain.

Influencing Factors on Rehiring Intentions for Mentally Disabled of Employer with Employment Experience (정신장애인 고용경험이 있는 고용주의 정신장애인 재고용 의사에 영향을 미치는 요인)

  • Jun, Seong-Sook;Kim, Mi-Young;Byun, Eun-Kyung
    • The Korean Journal of Health Service Management
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    • v.6 no.4
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    • pp.99-109
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    • 2012
  • The purpose of this study is to explore the factors that influence employer to rehire the mentally disabled. The participants of survey were 121 of employers' in Busan. Data were analyzed using ${\chi}^2$-test, t-test and logistic regression analysis with SPSS/WIN 18.0. According to this analysis, the results show that employer's rehiring intentions for the mentally disabled is a significantly related to gender, relationship with mental disabled person, industrial classification, experience of disabled employees, period of employment with mentally disabled people, subsidy for employment promotion, employment quota system, benevolence, community mental health ideology. Logistic regression analysis showed that relationship with mental disabled person, industrial classification, experience of disabled employees, period of employment with mentally disabled people, subsidy for employment promotion, employment quota system and benevolence. On the basis of results, program for encouraging employer's intention of rehiring the mentally disabled should be development and establish mediate strategies.

A Study on Effective Sentiment Analysis through News Classification in Bankruptcy Prediction Model (부도예측 모형에서 뉴스 분류를 통한 효과적인 감성분석에 관한 연구)

  • Kim, Chansong;Shin, Minsoo
    • Journal of Information Technology Services
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    • v.18 no.1
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    • pp.187-200
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    • 2019
  • Bankruptcy prediction model is an issue that has consistently interested in various fields. Recently, as technology for dealing with unstructured data has been developed, researches applied to business model prediction through text mining have been activated, and studies using this method are also increasing in bankruptcy prediction. Especially, it is actively trying to improve bankruptcy prediction by analyzing news data dealing with the external environment of the corporation. However, there has been a lack of study on which news is effective in bankruptcy prediction in real-time mass-produced news. The purpose of this study was to evaluate the high impact news on bankruptcy prediction. Therefore, we classify news according to type, collection period, and analyzed the impact on bankruptcy prediction based on sentiment analysis. As a result, artificial neural network was most effective among the algorithms used, and commentary news type was most effective in bankruptcy prediction. Column and straight type news were also significant, but photo type news was not significant. In the news by collection period, news for 4 months before the bankruptcy was most effective in bankruptcy prediction. In this study, we propose a news classification methods for sentiment analysis that is effective for bankruptcy prediction model.

Evaluation of Water Quality Characteristics and Grade Classification of Yeongsan River Tributaries (영산강 수계 지류.지천의 수질 특성 평가 및 등급화 방안)

  • Jung, Soojung;Kim, Kapsoon;Seo, Dongju;Kim, Junghyun;Lim, Byungjin
    • Journal of Korean Society on Water Environment
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    • v.29 no.4
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    • pp.504-513
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    • 2013
  • Water quality trends for major tributaries (66 sites) in the Yeongsan River basin of Korea were examined for 12 parameters based on water quality data collected every month over a period of 12 months. The complex data matrix was treated with multivariate analysis such as PCA, FA and CA. PCA/FA identified four factors, which are responsible for the structure explaining 78.2% of the total variance. The first factor accounting 27.3% of the total variance was correlated with BOD, TN, TP, and TOC, and weighting values were allowed to these parameters for grade classification. CA rendered a dendrogram, where monitoring sites were grouped into 5 clusters. Cluster 2 corresponds to high pollution from domestic wastewater, wastewater treatment and run-off from livestock farms. For grade classification of tributaries, scores to 10 indexes were calculated considering the weighting values to 3 parameters as BOD, TN and TP which were categorized as the first factor after FA. The highest-polluted group included 10 tributaries such as Gwangjucheon, Jangsucheon, Daejeoncheon, Gamjungcheon, Yeongsancheon. The results indicate that grade classification method suggested in this study is useful in reliable classification of tributaries in the study area.

A Study on the Development of a Classification System for the Records in Closed Private Universities: Focused on "Seonam University" (폐교 사립대학 기록물의 분류체계 개발에 관한 연구: 서남대학교를 중심으로)

  • Lee, Jae-Young;Chung, Yeon-Kyoung
    • Journal of Korean Society of Archives and Records Management
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    • v.20 no.3
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    • pp.39-54
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    • 2020
  • Records at closed private universities are simply kept in stacks without the use of records classification systems. However, the systematic management of such records is needed as these are important records that have legal and evidential value during the litigation process. Therefore, this study intends to develop a classification system for recordkeeping at closed private universities aiming to eliminate unnecessary follow-up procedures that may occur because of the absence of a records classification system, and to develop practical tools for managing records at closed universities. To this end, Seonam University, among the 13 transfer records kept by the Korea Advancing Schools Foundation, was selected as the example for this study. The peculiarities of the closing processes and the catalogs of the transfer records were reviewed, and a business function analysis was conducted. Based on the Guidelines for Prescribing Retention Period of University Records by the National Archives and the Ministry of Education, a records classification system for the closed private universities was proposed for the Records Disposition Schedule to handle the uniqueness of closed universities.

Classification of Fall Crops Using Unmanned Aerial Vehicle Based Image and Support Vector Machine Model - Focusing on Idam-ri, Goesan-gun, Chungcheongbuk-do - (무인기 기반 영상과 SVM 모델을 이용한 가을수확 작물 분류 - 충북 괴산군 이담리 지역을 중심으로 -)

  • Jeong, Chan-Hee;Go, Seung-Hwan;Park, Jong-Hwa
    • Journal of Korean Society of Rural Planning
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    • v.28 no.1
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    • pp.57-69
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    • 2022
  • Crop classification is very important for estimating crop yield and figuring out accurate cultivation area. The purpose of this study is to classify crops harvested in fall in Idam-ri, Goesan-gun, Chungcheongbuk-do by using unmanned aerial vehicle (UAV) images and support vector machine (SVM) model. The study proceeded in the order of image acquisition, variable extraction, model building, and evaluation. First, RGB and multispectral image were acquired on September 13, 2021. Independent variables which were applied to Farm-Map, consisted gray level co-occurrence matrix (GLCM)-based texture characteristics by using RGB images, and multispectral reflectance data. The crop classification model was built using texture characteristics and reflectance data, and finally, accuracy evaluation was performed using the error matrix. As a result of the study, the classification model consisted of four types to compare the classification accuracy according to the combination of independent variables. The result of four types of model analysis, recursive feature elimination (RFE) model showed the highest accuracy with an overall accuracy (OA) of 88.64%, Kappa coefficient of 0.84. UAV-based RGB and multispectral images effectively classified cabbage, rice and soybean when the SVM model was applied. The results of this study provided capacity usefully in classifying crops using single-period images. These technologies are expected to improve the accuracy and efficiency of crop cultivation area surveys by supplementing additional data learning, and to provide basic data for estimating crop yields.

The Tire Damage Classification by Pulse Interval Time Density Function of Ultrasonic Wave Envelope on Driving (주행 중 타이어 손상에 의해 발생하는 초음파 포락선 신호의 펄스 간격 시간밀도함수에 의한 손상 분별)

  • Shin, Seong-Geun;Kang, Dae-Soo
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.11 no.3
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    • pp.41-46
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    • 2011
  • The tire damage classification method is researched by periodicity detection of ultrasonic envelope signals to occur at the driving vehicle tire. Because periodic signals is generated by rotations of the damaged tire, it should convert to pulse for using the density function. After time intervals of pulses are represented by the density function, the dominant periodicity is detected. The threshold to make a pulse is calculated by moving average of envelope signals. The result of time density function in case of one damage material, the first peak's time is equals to tire's rotation period, 162ms and 102ms, about the speed of 50km/h and 80km/h. In case of more than one damage material, the sum of each peak's time is equals to tire's rotation period about the speed.