• 대한족부족관절학회지
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• 제7권1호
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• pp.119-125
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• 2003

Purpose: The purpose of this study fracture. Materials and Methods: The clinical and radiological analysis were performed on 19 cases of the talus neck fractures who had been treated with conservative treatment or variable methods of operative treatment. Each cases followed up more than 1 year and 6 months from May 1989 to June 2001. The clinical results were analyzed according to the age, cause of injury, fracture type of Hawkins classification, associated soft tissue injury, method of treatments, complications, and Hawkins scoring system. Results: According to Hawkins classification, type I was 6 cases(32%), type II was 5 cases(26%), typeIII was 7 cases(37%), and typeIV was 1 case(5%). In all cases, complete bony union was obtained. According to the Hawkins scoring system, 8 cases(42%) were excellent and good. Avascular necrosis was 4 cases(25%). Traumatic arthritis was 10 cases which were occurred in type II, III and IV. An ankle fusion was 1 case. Conclusion: In talar neck fractures, non-displaced fracture treated by the cast immobilization and displaced fracture treated by early open reduction and internal fixation were expected good results. The complications were 77% of traumatic arthritis and 31% of avascular necrosis in type II, III and IV. We should preoperatively explain to the patient for high complication rates of traumatic osteoarthritis and avascular necrosis in the talus neck fractures.

• 한국환경복원기술학회지
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• 제18권3호
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• pp.109-118
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• 2015

This study was performed to propose the site selection plan for the restoration of the target Reeve's turtle (Maunemys reevesii) habitat and has developed the AHP model to select the optimal site for Reeve's turtle habitat restoration on the basis of the Reeve's turtle Habitat Suitability Index (HSI) items (factors and variables). The assessment areas were established by the Reeve's turtle HSI factors such as breeding space, feed, cover, water, threatening factors and others and the sub-assessment items by each assessment area were established based on the Reeve's turtle HSI variables. The weighting values of the assessment areas and items were calculated by the developed AHP method. The weighting values of the 5 assessment areas were arranged in order as breeding space(0.293), food(0.273), water(0.217), cover(0.113), and threatening factor(0.104). The final weighting values of the 17 assessment items were arranged in order of height as all kind of food(0.222), water depth(0.096), altitude of spawning ground(0.093). The scoring criteria according to the assessment items and factors were marked and applied by equal intervals considering the criteria by HSI items of the Reeve's turtle and finally the scoring criteria diagram as been proposed for the optimal site selection of the Reeve's turtle habitat restoration.

• 한국통신학회논문지
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• 제41권6호
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• pp.707-713
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• 2016

IEEE 802.11 Wireless LAN 환경에서, 현재 일반적인 기존 단말의 Access Point (AP) 선택은 신호세기에 기반한다. 하지만, 신호세기 기반 AP선택 방법은 최적의 데이터 전송률을 보장하지 않는다. 이 문제 해결을 위해 최근 여러 AP선택 방법들이 제안되었지만 AP선택 시, 지연 문제를 가지며 실제 밀집된 AP환경을 고려하지 않았다. 본 논문은 밀집된 AP 환경에서 단말의 신호세기 및 Throughput 측정실험을 통해 기존 AP선택 방법의 문제점을 확인하고, 이를 보완하기 위해 Link Speed 및 IEEE 802.11 무선링크의 Round Trip Time(RTT)을 Scoring하여 AP선택을 수행하는 알고리즘을 제안한다. 또한, 실험을 통해 제안된 AP선택 알고리즘이 기존방법들에 비해 성능적으로 향상되었음을 증명한다.

• Journal of the Korean Data and Information Science Society
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• 제23권2호
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• pp.235-245
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• 2012

로지스틱판별분석은 금융 분야에서 유용하게 사용되고 있는 통계적 기법으로 신용평가 시 해석이 쉽고 우수한 분별력으로 많이 활용되고 있지만 종속변수에 대한 설명변수들의 비선형적인 관계를 설명하는 부분에는 한계점이 있다. 일반화가법모형은 로지스틱판별모형의 장점과 함께 종속변수와 설명변수 사이의 비선형적인 관계도 설명할 수 있다. 그러나 연속형 설명변수의 수가 대단히 많은 경우이 두 방법은 모형에 유의한 변수를 선택해야하는 문제점이 있다. 따라서 본 연구에서는 다수의 연속형 설명변수들을 공통요인분석자혼합모형에 의한 차원축소를 통해 변환된 소수의 요인점수들을 일반화가법모형의 새로운 연속형 설명변수로 사용하여 신용분류를 하는 방법을 제시한다. 실제 금융자료를 이용하여 로지스틱판별모형과 일반화가법모형, 그리고 본 연구에서 제안한 방법에 의한 정분류율을 비교한 결과 본 연구에서 제안한 방법의 분류 성능이 더 우수하였다.

• 정보과학회 논문지
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• 제42권9호
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• pp.1124-1132
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• 2015

일반적으로, 교사 학습 알고리즘이 적절히 학습되기 위해서는 레이블의 편향이 없는 충분한 양의 학습데이터가 필요하다. 그러나 영작문 자동채점 시스템 개발을 위한 충분하고 편향되지 않은 학습데이터를 수집하는 것은 어려운 일이다. 또한 영어 작문 평가의 경우, 전체적인 답안 수준에 대한 다면적인 평가가 이루어진다. 적고 편향되기 쉬운 학습데이터와 이를 이용한 여러 평가영역에 대한 학습모델을 생성해야하기 때문에, 이를 위한 적절한 기계학습 알고리즘을 결정하기 어렵다. 본 논문에서는 이러한 문제를 앙상블학습을 통해 완화할 수 있음을 실험에 통해 보이고자 한다. 실제 중, 고등학교 학생들을 대상으로 시행된 단문형 영작문 채점 결과를 학습데이터 개수와 편향성을 조절하여 실험하였다. 학습데이터의 개수 변화와 편향성 변화의 실험 결과, 에이다부스트 알고리즘을 적용한 결과를 투표로 결합한 앙상블 기법이 다른 알고리즘들 보다 전반적으로 더 나은 성능을 나타냄을 실험을 통해 나타내었다.

• Hip & pelvis
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• 제30권4호
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• pp.260-268
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• 2018

Purpose: This study was performed to assess the clinical and radiological outcomes following one-stage hip reconstruction, consisting of open reduction femoral shortening and pelvic osteotomy, for neglected developmental dislocation of the hip (DDH). Materials and Methods: This is a retrospective analysis of 77 hips in 65 patients (46 females and 19 males; 12 had bilateral dislocations), operated at a Ghurki Trust Teaching Hospital in Pakistan between 2013 and 2015. The average age at surgery was $11.02{\pm}3.43$ years. According to the Tonnis classification, there were 10, 14, 22, and 31 patients in grades 1, 2, 3, and 4, respectively. The pelvic procedure utilized in this study was triple osteotomy (47 hips) followed by double and Salter osteotomy (18 and 12 hips, respectively). Postoperative evaluations were conducted using the modified MacKay's scoring system (functional outcomes) and Severin's scoring method (radiological assessment). Results: Postoperatively, there were 38 (49.4%), 19 (24.7%), 14 (18.2%), and 6 (7.8%) hips in Severin grade I, II, III and IV, respectively. According to the modified McKay criteria, there were 22 hips (28.6%) in excellent condition, 44 (57.1%) in good condition, 9 (11.7%) in fair condition and 2 (2.6%) in poor condition. Both patients with poor outcomes had an unstable, painful hip with evidence of avascular necrosis of the femoral head. Conclusion: Based on the results presented here, we recommend the single stage procedure of open reduction, femoral shortening and pelvic osteotomy for treatment of DDH in older children with good to excellent functional and radiological outcomes.

• Hip & pelvis
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• 제30권4호
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• pp.269-275
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• 2018

Purpose: The purpose of this study is to describe a method of inserting cement in the femoral head before fixation with dynamic hip screw to prevent screw cut out due to osteoporosis and to evaluate its clinical outcome in these patients. Materials and Methods: In this prospective study, 30 patients aged 60 years and older with intertrochanteric fracture were included. Bone mineral density was measured. After reaming of the femoral head and neck with a triple reamer and polymethyl methacrylate, bone cement was introduced into the femoral head using a customized nozzle and a barrel fitted on a cement gun. A Richard screw was inserted and the plate was fixed over the femoral shaft. Patients were mobilized and clinical outcomes were rated using the Salvati and Wilson's scoring system. Results: More patients included in this study were between 66 and 70 years old than any other age group. The most common fracture according to the Orthopaedic Trauma Association classification was type 31A2.2 (46.7%). The T-score was found to be $-2.506{\pm}0.22$ (mean${\pm}$standard deviation); all patients were within the range of -2.0 to -2.8. The duration of radiological union was $13.67{\pm}1.77$ weeks. Salvati and Wilson's scoring at 12 months of follow up was $30.96{\pm}4.97$. The majority of patients were able to perform their normal routine activities; none experienced implant failure or screw cut out. Conclusion: Bone cement augmentation may effectively prevent osteoporosis-related hardware complications like screw cut out in elderly patients experiencing intertrochanteric fractures.

• 대한간호학회지
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• 제13권1호
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• pp.7-21
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• 1983

For the flexible and rational distribution of limited existing health resources based on measurements of individual risk, the socalled Risk Approach is being proposed by the World Health Organization as a managerial tool in maternal and child health care program. This approach, in principle, puts us under the necessity of developing a technique by which we will be able to measure the degree of risk or to discriminate the future outcomes of pregnancy on the basis of prior information obtainable at prenatal care delivery settings. Numerous recent studies have focussed on the identification of relevant risk factors as the Prior infer mation and on defining the adverse outcomes of pregnancy to be dicriminated, and also have tried on how to develope scoring system of risk factors for the quantitative assessment of the factors as the determinant of pregnancy outcomes. Once the scoring system is established the technique of classifying the patients into with normal and with adverse outcomes will be easily de veloped. The scoring system should be developed to meet the following four basic requirements. 1) Easy to construct 2) Easy to use 3) To be theoretically sound 4) To be valid In searching for a feasible methodology which will meet these requirements, the author has attempted to apply the“Likelihood Method”, one of the well known principles in statistical analysis, to develop such scoring system according to the process as follows. Step 1. Classify the patients into four groups: Group $A_1$: With adverse outcomes on fetal (neonatal) side only. Group $A_2$: With adverse outcomes on maternal side only. Group $A_3$: With adverse outcome on both maternal and fetal (neonatal) sides. Group B: With normal outcomes. Step 2. Construct the marginal tabulation on the distribution of risk factors for each group. Step 3. For the calculation of risk score, take logarithmic transformation of relative proport-ions of the distribution and round them off to integers. Step 4. Test the validity of the score chart. h total of 2, 282 maternity records registered during the period of January 1, 1982-December 31, 1982 at Ewha Womans University Hospital were used for this study and the“Questionnaire for Maternity Record for Prenatal and Intrapartum High Risk Screening”developed by the Korean Institute for Population and Health was used to rearrange the information on the records into an easy analytic form. The findings of the study are summarized as follows. 1) The risk score chart constructed on the basis of“Likelihood Method”ispresented in Table 4 in the main text. 2) From the analysis of the risk score chart it was observed that a total of 24 risk factors could be identified as having significant predicting power for the discrimination of pregnancy outcomes into four groups as defined above. They are: (1) age (2) marital status (3) age at first pregnancy (4) medical insurance (5) number of pregnancies (6) history of Cesarean sections (7). number of living child (8) history of premature infants (9) history of over weighted new born (10) history of congenital anomalies (11) history of multiple pregnancies (12) history of abnormal presentation (13) history of obstetric abnormalities (14) past illness (15) hemoglobin level (16) blood pressure (17) heart status (18) general appearance (19) edema status (20) result of abdominal examination (21) cervix status (22) pelvis status (23) chief complaints (24) Reasons for examination 3) The validity of the score chart turned out to be as follows: a) Sensitivity: Group $A_1$: 0.75 Group $A_2$: 0.78 Group $A_3$: 0.92 All combined : 0.85 b) Specificity : 0.68 4) The diagnosabilities of the“score chart”for a set of hypothetical prevalence of adverse outcomes were calculated as follows (the sensitivity“for all combined”was used). Hypothetidal Prevalence : 5％ 10％ 20％ 30％ 40％ 50％ 60％ Diagnosability : 12% 23% 40% 53% 64% 75% 80%.

• 대한핵의학회지
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• 제28권2호
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• pp.172-176
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• 1994

심근 SPECT에 의한 심근질환의 심도 및 허혈부위를 평가하는 방법으로 정상인의 극성지도와의 비교에 의한 결손지도 평가방법이 상용화되었으나 본 연구에서는 결손부위의 범위만을 산출할 수 있었던 종래의 방법을 개선할 수 있는 관류회복정도 및 심도성적 산출 방법을 시도하여 보았다. 허혈 및 심도성적의 산출에서 부하 및 휴식기 극성지도의 차이를 3등급으로 분할하여 각 등급에 해당되는 화소의 수를 가중하므로서 관류결손부위의 면적이 반영된 허혈 및 심도성적 산출방법을 제안하고자 하였으며, 등급 및 가중치의 할당은 정상인의 잔상동맥영역별 관류분포를 반영하여 고른 등급 할당방법보다 상관도가 개선된 결과를 얻을 수 있었다.

• 정보과학회 논문지
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• 제42권12호
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• pp.1522-1534
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• 2015

본 연구에서는 미리 구축해 놓은 학습데이터 없이도 입력된 작문이 주어진 작문 주제에 적합한 내용인지 아닌지를 자동으로 판단할 수 있는 방법을 제안한다. ConceptNet은 다양한 종류의 문서에서 추출한 자연언어 문장들로부터 구축된 그래프 형태의 지식베이스이다. 본 연구에서는 작문 주제에 해당하는 작문 프롬프트(essay prompt)와 ConceptNet만을 이용하여 문서의 주제-이탈 여부를 판별하는 방법을 제안한다. ConceptNet에서 두 개념간의 최단 경로를 찾고 이에 대한 의미 유사도를 계산하는 방법을 제안한다. 이를 이용하여 작문 프롬프트와 수험생 작문 내용을 ConceptNet의 개념들로 매핑하고 이 개념들 사이의 의미 유사도를 계산하여 작문 프롬프트와 수험생 작문 사이의 주제 부합 여부를 판단한다. 8개의 작문 시험을 수행하여 얻은 수험생 작문 데이터에 대하여 평가를 수행한 결과 기존의 연구에 비해 좋은 성능을 얻을 수 있었다. ConceptNet을 활용하면 유의미한 단순 추론이 가능하기 때문에 본 연구에서 제안한 방법은 추론을 요하는 작문 문제에도 적용 가능함을 보였다.