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      • KCI등재

        야뇨증 환아들의 심리사회적 특성에 대한 다기관 연구 : 행동 및 정서 문제를 중심으로

        조수철,김재원,신민섭,황준원,한상원,박관현,이상돈,김경도,김건석,서홍진,이유식,정재용,김영균,문두건,남궁미경,한창희,조원열,김영식,배기수,이종국,정우영,신의진 大韓神經精神醫學會 2005 신경정신의학 Vol.44 No.6

        Objectives : The aim of this study was to examine the behavioral and emotional problems associated with nocturnal enuresis in Korean children. Methods : Three hundred eighteen children with nocturnal enuresis, together with their parents, completed the Child Behavior Checklist (CBCL), Disruptive Behavior Disorder Scale according to DSM-IV (DBDS), Children's Depression Inventory (CDI), State-Trait Anxiety Inventory for Children (STAIC), and Piers-Harris Children's Self-Concept Scale (PHCSC). Ninety-three normal students were selected as the control group. Results : Compared to the normal control group, the mean scores with regard to the withdrawn, social problems, attention problems, delinquent behavior, aggressive behavior, externalizing problems and total problems profiles were significantly higher in the nocturnal enuresis group according to the CBCL results. The nocturnal enuresis group also scored significantly higher in the ADHD and ODD profiles of the DBDS. The nocturnal enuresis group was more depressed and anxious than the control group according to the results of the CDI and STAI. The mean score of the PHCSC was significantly lower in the nocturnal enuresis group when compared to the normal control group. Conclusion : The results of this study suggest that children with nocturnal enuresis in Korea have clinically relevant behavioral and emotional problems. The findings support the link between nocturnal enuresis and psychopathology in Korean children.

      • 주파수 선택성 레일리 페이딩 환경에서 부호화 기법을 이용한 직교 멀티캐리어 시스템의 오율 해석

        정재필,박기식,한성운,조성준 한국항공대학교 1997 論文集 Vol.35 No.-

        본 논문에서는 주파수 선택성 레일리 페이딩 환경에서 RS부호화, 컨벌루션 부호화, 연접부화를 이용하는 직교 멀티캐리어 BDPSK시스템과 QDPSK시스템의 오율특성을 구하였다. 오율특성은 정규화된 지연시간(??), 비트에너지 대 잡음전력 스펙트럼 밀도비(??), 희망 신호전력 대 지연되 비희망 신호전력비(D/U)를 파라미터로 하여 나타내었다. 검토한 결과, BDPSK 신호인 경우 D/U가 20[dB]일 대 오율을 ??으로 유지하기 위해 필요한 Eb/No는 Rs부호화, 컨벌루션 부호화 및 연접부호화에서느 각각 대략 20.8[dB], 16.0[dB], 14.5 [dB]가 필요하며, QDPSK신호인 경우 Rs부호화, 컨벌루션 부호화 및 연접부호화에서 각각 대략 24.0[dB], 18.9[dB], 13.5[dB]가 필요함을 알 수 있었다. This paper has evaluated the error performance of orthogonal multicarrier BDPSK and QDPSK systems which use Reed Solomon coding, convolutional coding, and concatenated coding technique in a frequency selective Rayleigh fading environment. The results show that when D/U (desired wave's power to undesired delayed wave's power ratio)=20dB at error rate of ??, Reed Solomeon coded BDPSK signal, convolutional coded BDPSK signal, and concatenated coded BDPSK signal need about 20.8[dB], 16.0[dB], 14.5[dB] respectively in terms of Eb/No, and Reed Solomon coded QDPSK signal, convolutional coded QDPSK signal, and concatenated coded QDPSK signal need about 24.0[dB], 18.9[dB], 13.5[dB] respectively.

      • KCI등재

        유전자 알고리즘과 신경회로망을 이용한 고속 확관기의 확관속도 최적화

        정원지,김재량,김진한,홍대선,강흥식,김동성 한국공작기계학회 2005 한국생산제조학회지 Vol.14 No.2

        This paper presents the optimization of expanding velocity for tube expanding process in the manufacturing of a heat exchanger. In specific, the expanding velocity has a great influence on the performance of a heat exchanger because it is a key variable determining the quantity of tube expanding at assembly stage as well as a key parameter determining overall production rate. The simulation showed that the genetic algorithm used in this paper resulted in the optimal tube expanding velocity by performing the following series of iteration; the generation of arbitrary population for tube expanding parameters, consequently the generation of tube expanding velocities, the evaluation of tube expanding quantity using the pre-trained data of plastic deformation by means of a neural network, and finally the generation of next population using a penalty function and a Roulette wheel method.

      • KCI등재후보
      • 소아과 입원 환자에 대한 통계적 고찰

        정용현,서우식,유재홍,변상현 충남대학교 의과대학 지역사회의학연구소 1995 충남의대잡지 Vol.22 No.2

        For the purpose of assessing the disease patterns by the body organ system in patients of the pediatric age, we performed a statistical analysis of diseases of patients admitted to the department of pediatrics at Chungnam National University Hospital from January 1990 to December 1994. The results obtained were as follows : 1. Total numbers of in-patients were 8,007, of which 4,923 were male and 3,084 were female. The ratio male to female was 1.60 : 1. 2. Prevalence of the diseases classified by body organ system was in the following order : neonatal diseases (34.6%), respiratory diseases (17.4%), infectious diseases (11.5%), congenital anomalies (5.5%), digestive diseases (5.1%), genitourinary diseases (4.9%), neoplasm (4.7%), blood diseases (3.3%), nervous system diseases (2.8%), metabolic and endocrine diseases (2.4%), circulatory system diseases (2.3%), skin and subcutaneous diseases (1.3%), musculoskeletal and connective tissue diseases (1.2%), mental and behavior disorders (0.4%). 3. Major diseases in each body organ system were as follows : 1) infectious diseases : unspecified acute gastroenteritis (35.9%), viral meningitis (10.4%), Rotaviral enteritis (6.8%), sepsis (6.7%), measles (5.8%). 2) neoplasm ; ALL (34.1%), AML (15.8%), Wilms tumor (12.8%), NHL (8.2%), neuroblastoma (5.6%) 3) blood diseases : allergic purpura (24.2%), aplastic anemia (17.1%), ITP (16.4%), iron deficiency anemia (15.8%). 4) metabolic and endocrine diseases : short stature (22.0%), hypocalcemia (13.8%), metabolic acidosis (9.6%), IDDM (6.4%). 5) mental and behavior diseases : neurosis (47.7%), mental retardation (18.2%). 6) Nervous and sensory system diseases : epilepsy (43.2%), cerebral palsy (12.1%), otitis media (9.3%), encephalopathy (6.2%). 7) circulatory system diseases: congestive heart failure (29.2%), dilated cardiomyopathy (8.0%), rheumatic fever (8.0%), mitral insufficiency (6.8%), hypertension (6.4%). 8) respiratory diseases : pneumonia (40.1%), URI (9.6%), acute tonsillitis (9.4%), asthma (8.5%), acute bronchiolitis (8.3%), croup (7.1%), acute bronchitis (4.1%). 9) digestive system diseases : unspecified hepatitis (22.8%), acute gastritis (13.8%). CAH (12.6%), intussusception (7.8%), constipation (7.1%). 10) skin and subcutaneous diseases : cellulitis (23.1%), lymphadenitis (19.7%), urticaria (15.6%), atopic dermatitis (8.8%), furuncle (8.2%). 11) musculoskeletal and connective tissue diseases : Kawasaki disease (76.8%), JRA (8.5%), SLE (7.0%). 12) genitourinary system diseases : UTI (29.0%), minimal change nephrotic syndrome (27.3%), APSGN (7.6%), APN (4.9%). 13) congenital or chromosomal abnormalities : VSD (38.7%), ASD (10.5%), TOF (8.4%), PDA (5.2%), CHPS (4.5%), Down syndrome (4.1%). 14) neonatal diseases : jaundice (32.0%), prematurity (12.7%), RDS (5.7%), sepsis (4.5%), birth asphyxia (3.0%), SGA (3.0%). 15) Others : febrile convulsion (45.6%), failure to thrive (9.2%), FUO (8.9%), drug intoxication (8.2%). 4. Common diseases for admission in pediatrics were in the following order : jaundice, pneumonia, unspecified acute gastroenteritis, VSD, RDS, URI, acute tonsillitis, acute lymphadenitis, ALL, sepsis, asthma, acute bronchiolitis, UTI.

      • 政策決定에 있어서의 參與模型設定에 관한 硏究

        鄭載旭,鄭元植 진주여자전문대학 1985 論文集 Vol.7 No.-

        As a modern state turns into a welfare-oriented administration state, the Executive must perform the functions of not only Public Policy Implementation but also Public Policy Making to settle the demands of the nation. The purpose of this study is 1) to extract the participant factors of Civil Servants in Public Policy Making Process, 2) to set up Participation-Model of Public Policy Making by this factors, and 3) to analysis established theoris of Public Policy Making by this model, Among many variables, This article points on administratiors, especially Civil Servants. (1) To extract participant factors of Civil Servants in Public Poliy Making, first of all, I try to analysis the change of the public administration functions and the participant factors that the scholars emphasized. Therefore, two factors that are expertise and the level of political support mobilization are chosen. (2) To set up the theoretical Participation-Model of Policy Making, I defines variabes of the Model as expertise and the level of political support mobilization, The theortical Participation-Model of Public Policy Making contains four ranges, that is Ⅰ, Ⅱ, Ⅲ and Ⅳ quadrants. (a) In 1 quadrant, the participant behaviors of Civil Servants is expressed as the forms of the high level of political support mobilization and expertise, (b) in Ⅱ quadrant, the high level of the former and the low level of the latter, (c) in Ⅲ quadrant, the low level of two factors, and (d) in Ⅳquadrant, the low level of the former and the high level of the latter. (3) To apply the participant forms of Civil Servants in established theories such as the process oriented-model and the output oriented-model to the Theoretical Participation-Model, I analysis the Civil Servants' behavior in the established theories, Therefore, (a) The participant behaviors of Civil Servants in Rational Model is similar to that of Ⅳ quadrant, (b) that of statisfying Model and Incremental Model are similar to that of Ⅲ quadrant, and (c) Optimal Model is similar to that of Ⅳ quadrant.

      • KCI등재
      • KCI등재후보
      • 중희귀모델을 이용한 최대수요예측에 관한 연구

        이충식,김종달,박재윤,고희석 경남대학교 신소재연구소 1994 論文集 Vol.4 No.-

        발전소에서 운용계획을 만들기 위해 단기의 최대부하를 예측해야 한다. 부하예측의 경우에 휴일정보나 온도경향과 같은 요인에 관해서는 불충분하고 비수량적인 정보 만을 얻을 수 있다. 그러므로 시계열모델을 이용한 부하예측이 필요하다. 본 연구에서는 기온-부하모델을 구성하여 주간변동, 계절변동을 제거하고 불규칙변동은 자기회귀모델을 이용하여 제거한다. 예측결과 3개월 평균오차는 여름의 평균오차가 약 3.5%정도 인 것을 제외하고 모든 계절에서 2%보다 적었다. 이것은 예측구간을 세분화 하므로서 예측보차를 줄일 수 있을 것으로 사료된다. To make weekly operational plan for power stations, we have to forecast short-term peak load. In case of load forecasting, we can obtin only insufficient and unnumerical information with respect to load such as holiday information and trend of temperature. Therefore the forecasting using a time series model is necessary. In this paper, construct temperature-load model and remove weekly variation, seasonal variation and unknown factors using autoregressive model. Average forecasting percentage error of 3 months is less than 2% in all season except summer. Average forecasting percentage error of summer is about 3.5%. But this will be decreased by subdividing forecasting-section

      • KCI등재

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