• 가정과삶의질연구
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• 제27권2호
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• pp.1-9
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• 2009

The purpose of this study was to investigate the influence of demographical variables(gender and age) and alienation on adolescent's negative emotion-induced eating motivation. The subjects were 389 middle and high school students who lived in Keoungbok. The data were analyzed by t-test, one-way ANOVA and stepwise multiple regression(using SPSS 12.1). Major findings were as follows: 1) There was difference in adolescent's negative emotion-induced eating motivation according to gender, age, and level of alienation. Adolescent's negative emotion-induced eating motivation tended to be higher when adolescent were girl students, or high school students or in higher level of alienation. 2) Alienation was the stronger predictor of adolescent's negative emotion-induced eating motivation than gender and age. 3) There was difference in boy adolescent's negative emotion-induced eating motivation according to age and level of alienation. But there was difference in girl adolescent's negative emotion-induced eating motivation only according to level of alienation. 4) For boy, alienation was the stronger predictor of adolescent's negative emotion-induced eating motivation than age. But for girl alienation was only significant predictor of adolescent's negative emotion-induced eating motivation.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2002년도 하계종합학술대회 논문집(2)
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• pp.129-132
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• 2002

AE64000 is the 64-bit high-performance microprocessor that ADC Co. Ltd. is developing for an embedded environment. It has a 5-stage pipeline and uses Havard architecture with a separated instruction and data caches. It also provides SIMD-like DSP and FP operation by enabling the 8/16/32/64-bit MAC operation on 64-bit registers. AE64000 processor implements the EISC ISA and uses the instruction folding mechanism (Instruction Folding Unit) that effectively deals with LERI instruction in EISC ISA. But this unit makes branch prediction behavior difficult. In this paper, we designs a branch predictor optimized for AE64000 Pipeline and develops a AES4000 simulator that has cycle-level precision to validate the performance of the designed branch predictor. We makes TAC(Target address cache) and BPT(branch prediction table) seperated for effective branch prediction and uses the BPT(removed indexed) that has no address tags.

• 한국산림과학회지
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• 제99권2호
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• pp.204-212
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• 2010

This study was performed in 22 unthinned Larix olgensis plantations in northeast China. Data were collected on 95 sample trees of different canopy positions and the diameter at breast height ($d_{1.3}$) ranged from 5.7 cm to 40.2 cm. The individual tree models for the prediction of vertical distribution of live crown, branch and needle biomass were built. Our study showed that the crown, branch and needle biomass distributions were most in the location of 60% crown length. These results were also parallel to previous crown studies. The cumulative relative biomass of live crown, branch and needle were fitted by the sigmoid shape curve and the fitting results were quite well. Meanwhile, we developed the crown ratio and width models. Tree height was the most important predictor for crown ratio model. A negative competition factor, ccf and bas which reflected the effect of suppression on a tree, reduced the crown ratio estimates. The height-diameter ratio was a significant predictor. The higher the height-diameter ratio, the higher crown ratio is. Diameter at breast height is the strongest predictor in crown width model. The models can be used for the planning of harvesting operations, for the selection of feasible harvesting methods, and for the estimation of nutrient removals of different harvesting practices.

• 대한가정학회지
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• 제42권7호
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• pp.19-32
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• 2004

This study examined how school-age children's peer acceptance and friendship experience were related to their psychosocial adjusment. Peer acceptance was examined in terms of sociometric status and social preference, and the friendship experience was examined in terms of the reciprocity of best friendship. The subjects were 275 children in the 4th or 5th grades. It was found that sociometric status and the reciprocity of best friendship were significant predictors of the level of loneliness that children experienced. Interaction between children's social preference score and the reciprocity of best friendship was also a significant predictor of the children's experience of loneliness. That is, the degree to which children are accepted by their peer group predicts the level of loneliness that children experience, but the strength of the prediction depends on whether the children have reciprocal best friends. Is for children's self-esteem in relation with sociometric status and the reciprocity of best friendship, only sociometric status was significant predictor of children's self-esteem. However, interaction between social preference and the reciprocity of best friendship was a significant predictor of children's self-esteem. This finding suggests that the degree to which children are accepted by their peer group predicts the level of children's self-esteem, and the strength of the prediction depends on whether the children have reciprocal best friends.

• 한국컴퓨터정보학회논문지
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• 제10권2호
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• pp.87-95
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• 2005

고성능 마이크로프로세서에서 값 예측기는 한 명령어의 결과를 미리 예측하여 명령들 간의 데이터 종속관계를 극복하고 실행함으로써 명령어 수준 병렬성(Instruction Level Parallelism, ILP)을 향상시키는 기법이다. 본 논문에서는 ILP 프로세서 명령어 수준 병렬성의 성능향상을 위하섞 값을 미리 예측하여 병렬로 이슈하고 수행하는 값 예측기를 비교 분석하여 각 테이블 갱신 시점에 따른 예측기별 평균 성능향상과 예측률 및 예측정확도를 측정하여 평가한다 이러한 타당성을 검증하기 위해 실행구동방식 시뮬레이터를 사용하여 SPECint95 벤치마크를 시뮬레이션하여 비교한다.

• 한국컴퓨터산업학회논문지
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• 제7권3호
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• pp.171-178
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• 2006

슈퍼스칼라 프로세서에서 명령어 이슈 길이 값 예측방식은 명령의 결과 값을 미리 예측하고, 그 이후에 데이터 종속관계가 이는 명령들에게 값을 조기에 공급하므로써 이들 명령들을 모험적으로 실행하여 성능을 향상시키는 방식이다. ILP 프로세서는 명령어 수준 병렬성의 성능향상을 위하여 값을 미리 예측하여 병렬로 이슈하고 수행한다[4]. 본 논문에서는 이를 수행하기 위한 값 예측기의 명령어 이슈 길이(4,8,16)의 성능분석을 위한 예측률, 예측정확도, 성능향상 등을 측정하여 평가한다. 실험결과 8이슈의 성능향상이 높음을 보였다.

• 한국생활과학회지
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• 제17권6호
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• pp.1105-1114
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• 2008

The purpose of this study was to investigate the influence of income and emotional closeness with father/mother on middle and high school-adolescent's alienation The subjects were 327 middle and high school students who lived with two-parent in Keoungbok and whose household income was lower \4,000,000. The data were analyzed by t-test, ANOVA, Pearson's correlation, and stepwise multiple regression(using SPSS 12.1). Major findings were as follows: 1) Middle and high school students's alienation was difference. The level of the high school adolescent's alienation was higher than the middle school adolescent's alienation. 2) Middle and high school students's alienation was differed by level of income and emotional closeness with father/mother. The lower level of income and emotional closeness with father/mother, the higher level of adolescent's alienation. 3) Among the income, emotional closeness with father/mother, the income was more influential predictor on high school-adolescent's alienation. But the income was not a significant predictor of middle school-adolescent's alienation. emotional closeness with father was more influential predictor on middle school-adolescent's alienation.

• 한국통신학회논문지
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• 제19권8호
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• pp.1587-1594
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• 1994

피지 예측기는 강인한 트리 부호화기에서 가장 중요한 부분 중에 하나이다. 피치 예측기는 역방향으로 블록 적용 방법과 회귀적인 방법이 결합되어 구성되어진다. 부호화기의 전송에러에 대한 성능을 개선하고 입력 음성의 피치주기의 변화를 추적하기 위해 피치 예측기의 스무더를 부가하는 방법을 제시한다. 3개의 탭을 갖는 스무더는 고정된 계수를 가지거나 피치 합성기의 출력신호의 자기상관 함수에 따라 변화되는 가계변수를 가질 수 있다. 피치 예측기에 스무더의 부가는 한 블록 내에서의 피치주기의 변화를 추적할 수 있고 채널에러에 대한 영향도 줄일 수 있다.

• 한국도로학회논문집
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• 제19권2호
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• pp.35-44
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• 2017

PURPOSES: This study suggests a specific methodology for the prediction of road surface temperature using vehicular ambient temperature sensors. In addition, four kind of models is developed based on machine learning algorithms. METHODS : Thermal Mapping System is employed to collect road surface and vehicular ambient temperature data on the defined survey route in 2015 and 2016 year, respectively. For modelling, all types of collected temperature data should be classified into response and predictor before applying a machine learning tool such as MATLAB. In this study, collected road surface temperature are considered as response while vehicular ambient temperatures defied as predictor. Through data learning using machine learning tool, models were developed and finally compared predicted and actual temperature based on average absolute error. RESULTS : According to comparison results, model enables to estimate actual road surface temperature variation pattern along the roads very well. Model III is slightly better than the rest of models in terms of estimation performance. CONCLUSIONS : When correlation between response and predictor is high, when plenty of historical data exists, and when a lot of predictors are available, estimation performance of would be much better.

• 전기전자학회논문지
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• 제21권4호
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• pp.424-427
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• 2017

원점이나 원점 근방에 있는 극을 포함하고 있는 시간지연시스템에 대하여 스미스 예측제어기를 적용할 경우 외란에 의한 정상상태 오차가 발생한다. 또한 모델링 오차가 존재할 경우에도 외란에 의한 오차 발생으로 인하여 제어기 구성이 어렵게 된다. 이에, 본 논문에서는 이러한 시스템들에 대한 외란의 영향을 제거하기 위한 새로운 제어기를 구성하였다. 외란을 측정할 수 있는 외란관측자를 제안하였으며, 관측된 외란을 이용하여 외란의 효과를 소거할 수 있는 제어기를 구성하였다. 그 결과, 외란 및 모델링 오차의 영향을 제거할 수 있는 새로운 제어기를 설계할 수 있었다. 구성된 제어기를 발전소 과열기 및 증기압 제어에 적용하여 제안한 시스템의 효용성을 입증하였다.