• 철학연구
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• 제131권
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• pp.131-163
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• 2014

'우리는 누구이며, 어디서 왔는가?' 우리 스스로에게 질문하고 우리 자신을 이해하는 것, 이것이야말로 인류 역사상 가장 위대한 혁명일 것이다. 하지만 우리는 아직 우리의 정체성을 묻는 이 물음에 명확한 답을 얻지 못하고 있다. 물론 '사회적 동물' 혹은 '이성적 동물' 같은 전형적인 정의들이 있지만 이들 역시 매우 허약한 규정들이다. 우리가 왜 사회적 동물이 되고 이성적 동물이 되었는지에 대한 해명조차 담고 있지 않기 때문이다. 이 글의 목적은 이 물음의 해답을 찾아가는 단서를 발견하여 우리의 정체성을 좀 더 명확히 하는데 있다. 실마리는 진화론적으로 우리와 가장 가까운 혈족으로 불리는 침팬지에게서 출발한다. 우리와 침팬지는 무엇이 다른가? 침팬지에게도 '자아'가 있을까? 이런 물음들을 통해 우리가 찾아낸 답은 이렇다. 즉 인간이 침팬지와 다른 존재가 된 것은 뇌의 발달과 함께 정밀하게 움직이는 운동 시스템을 갖게 되었고, 나아가 이러한 운동 시스템이 내면화되어 마음을 갖게 되었기 때문이다. 그리고 마음의 생각하는 능력도 바로 이러한 내면화 메커니즘이 진화 발전한 것이다.

• 한국컴퓨터정보학회논문지
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• 제27권3호
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• pp.13-23
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• 2022

Prasad et al.는 사전학습(pre-trained)한 신경망 L1 글로다바(Gulordava) 언어모델을 여러 유형의 영어 관계절과 등위절 문장들로 적응 학습(adaptation learning)시켜 문장 간 유사성(sentence similarity)을 평가할 수 있는 통사 프라이밍(syntactic priming)-기반 프로빙 방법((probing method)을 제안했다. 본 논문에서는 한국인 영어학습자가 배우는 영어 자료를 바탕으로 훈련된 L2 LSTM 신경망 언어 모델의 영어 관계절 혹은 등위절 구조의 문장들에 대한 임베딩 표현 방식을 평가하기 위하여 프로빙 방법을 적용한다. 프로빙 실험은 사전 학습한 LSTM 언어 모델을 기반으로 추가로 적응 학습을 시킨 LSTM 언어 모델을 사용하여 문장 임베딩 벡터 표현의 통사적 속성을 추적한다. 이 프로빙 실험을 위한 데이터셋은 문장의 통사 구조를 생성하는 템플릿을 사용하여 자동으로 구축했다. 특히, 프로빙 과제별 문장의 통사적 속성을 분류하기 위해 통사 프라이밍을 이용한 언어 모델의 적응 효과(adaptation effect)를 측정했다. 영어 문장에 대한 언어 모델의 적응 효과와 통사적 속성 관계를 복합적으로 통계분석하기 위해 선형 혼합효과 모형(linear mixed-effects model) 분석을 수행했다. 제안한 L2 LSTM 언어 모델이 베이스라인 L1 글로다바 언어 모델과 비교했을 때, 프로빙 과제별 동일한 양상을 공유함을 확인했다. 또한 L2 LSTM 언어 모델은 다양한 관계절 혹은 등위절이 있는 문장들을 임베딩 표현할 때 관계절 혹은 등위절 세부 유형별로 통사적 속성에 따라 계층 구조로 구분하고 있음을 확인했다.

• Steel and Composite Structures
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• 제46권4호
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• pp.451-469
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• 2023

The use of precast hollow-core slabs (PCHCS) in civil construction has been increasing due to the speed of execution and reduction in the weight of flooring systems. However, in the literature there are no studies that present a finite element model (FEM) to predict the load-slip relationship behavior of pushout tests, considering headed stud shear connector and PCHCS placed at the upper flange of the downstand steel profile. Thus, the present paper aims to develop a FEM, which is based on tests to fill this gap. For this task, geometrical non-linear analyses are carried out in the ABAQUS software. The FEM is calibrated by sensitivity analyses, considering different types of analysis, the friction coefficient at the steel-concrete interface, as well as the constitutive model of the headed stud shear connector. Subsequently, a parametric study is performed to assess the influence of the number of connector lines, type of filling and height of the PCHCS. The results are compared with analytical models that predict the headed stud resistance. In total, 158 finite element models are processed. It was concluded that the dynamic implicit analysis (quasi-static) showed better convergence of the equilibrium trajectory when compared to the static analysis, such as arc-length method. The friction coefficient value of 0.5 was indicated to predict the load-slip relationship behavior of all models investigated. The headed stud shear connector rupture was verified for the constitutive model capable of representing the fracture in the stress-strain relationship. Regarding the number of connector lines, there was an average increase of 108% in the resistance of the structure for models with two lines of connectors compared to the use of only one. The type of filling of the hollow core slab that presented the best results was the partial filling. Finally, the greater the height of the PCHCS, the greater the resistance of the headed stud.

• International Journal of Concrete Structures and Materials
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• 제18권3E호
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• pp.173-181
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• 2006

The objectives of this study are to evaluate the reliability of an existing nonlinear analysis program for predicting the inelastic behavior of reinforced concrete frame with seismic details and to observe the redistribution of the internal forces, which can not be easily measured by an experiment. In order to carry out this task, the nonlinear analysis program of IDARC 2D(3) was run on a 2-bay, 2-story moment-resisting reinforced concrete plane frame with seismic details. (1) The effort to obtain the results of the analysis similar to those of experiment was made by determining the appropriate values of model parameters. The comparison of the analysis results with those of experiment and the observation of the distribution of internal forces obtained through nonlinear analysis points to the following conclusions. (1) The overall relationship between lateral load and lateral displacement given by the analysis is similar to that of experiment. However, the values of initial stiffness and the amount of energy dissipation in the initial displacement steps given by the analysis show larger values than those of experiment. (2) The analysis provided detailed information on the distribution and redistribution of internal forces and proved useful in elucidating the crack pattern, the sequence of the occurrence of plastic hinges, and the failure or yielding mechanism for the whole structure. (3) In spite of the similarity in overall behavior of analysis and experiment, there exists a significant discrepancy in some local behaviors. Furthermore, the hysteresis in the relationship between moment and curvature in some column ends have shown sudden deteriorations in strength, which can not be interpreted satisfactorily at the present time. Therefore, it is necessary to develop a better analytical model to fill this knowledge gap.

• Journal of Korean Neurosurgical Society
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• 제63권3호
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• pp.346-357
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• 2020

During the follow-up period after surgery for spinal dysraphism, a certain portion of patients show neurological deterioration and its secondary phenomena, such as motor, sensory or sphincter changes, foot and spinal deformities, pain, and spasticity. These clinical manifestations are caused by tethering effects on the neural structures at the site of previous operation. The widespread recognition of retethering drew the attention of medical professionals of various specialties because of its incidence, which is not low when surveillance is adequate, and its progressive nature. This article reviews the literature on the incidence and timing of deterioration, predisposing factors for retethering, clinical manifestations, diagnosis, surgical treatment and its complications, clinical outcomes, prognostic factors after retethering surgery and preventive measures of retethering. Current practice and opinions of Seoul National University Children's Hospital team were added in some parts. The literature shows a wide range of data regarding the incidence, rate and degree of surgical complications and long-term outcomes. The method of prevention is still one of the main topics of this entity. Although alternatives such as spinal column shortening were introduced, re-untethering by conventional surgical methods remains the current main management tool. Re-untethering surgery is a much more difficult task than primary untethering surgery. Updated publications include strong skepticism on re-untethering surgery in a certain group of patients, though it is from a minority of research groups. For all of the abovementioned reasons, new information and ideas on the early diagnosis, treatment and prevention of retethering are critically necessary in this era.

• Smart Structures and Systems
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• 제21권5호
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• pp.591-600
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• 2018

The probabilistic characterization of wind field characteristics is a significant task for fatigue reliability assessment of long-span railway bridges in wind-prone regions. In consideration of the effect of wind direction, the stochastic properties of wind field should be represented by a bivariate statistical model of wind speed and direction. This paper presents the construction of the bivariate model of wind speed and direction at the site of a railway arch bridge by use of the long-term structural health monitoring (SHM) data. The wind characteristics are derived by analyzing the real-time wind monitoring data, such as the mean wind speed and direction, turbulence intensity, turbulence integral scale, and power spectral density. A sequential quadratic programming (SQP) algorithm-based finite mixture modeling method is proposed to formulate the joint distribution model of wind speed and direction. For the probability density function (PDF) of wind speed, a double-parameter Weibull distribution function is utilized, and a von Mises distribution function is applied to represent the PDF of wind direction. The SQP algorithm with multi-start points is used to estimate the parameters in the bivariate model, namely Weibull-von Mises mixture model. One-year wind monitoring data are selected to validate the effectiveness of the proposed modeling method. The optimal model is jointly evaluated by the Bayesian information criterion (BIC) and coefficient of determination, $R^2$. The obtained results indicate that the proposed SQP algorithm-based finite mixture modeling method can effectively establish the bivariate model of wind speed and direction. The established bivariate model of wind speed and direction will facilitate the wind-induced fatigue reliability assessment of long-span bridges.

• 환경영향평가
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• 제4권3호
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• pp.27-29
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• 1995

Within regional and municipal planning we are using several levels or types of EIA in the city of Dresden. Some of these types, practical aspects and some experiences of our work will be presented in this contribution. Firstly I may introduce you to some general conditions for your better understanding of our principles of work. Surely you know about. the destruction of the political and economical structures in Eastern Germany since 1989. Until today our not quite simple task is to build up new ones. At the same time people were in great expectation of freedom and high standard of living as soon as possible. Economical difficulties increased in association with the breakdown of the market in Eastern Europe. How to rebuild industrial estatements and how to renew the traffic systems? We had to find answers to all these complex question. Should we only repair the former damages or could we reach a really environmental sound production for the future? The demand for a rapid economic growth is an incredible challenge for the application of new environmental ideas. I am truly not sure whether you know the city of Dresden or not. So I would like to give you a short introduction. Dresden is situated in a valley shaped by the river Elbe. There live about 500,000 people. Dresden has a great reputation for arts and sciences. Its also well know as a town of high technology industries such as electronics and optics. We restored the power plant and therefore we don't need any atomic power plants actually we haven't got one. Since 1990 there were founded many official agencies in Dresden because it is the capatal of Saxony. Considering nature and environment we there is a large forest area called "Dresdner Heide". The river Elbe and the meadows are situated on both sides of the river. There are a lot of green and free places in the city area too. Furtheron there is something unusual for a large city: about 50% of the drinking water resources mostly take place within the city itself. The origin is the ground water as well as water from the river Elbe after filtration of course.

• 약학회지
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• 제16권1호
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• pp.1-12
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• 1972

One of the characteristics features of Chinese Medicine is recognized as the practical use of combinations of crude drugs in the forms of various prescriptions according to the symptoms of illness. Such crude drugs are mostly dried plant roots, rhizomes, leaves, fruits and seeds, sometimes dried animla organ preparations even fossils or minerals. In the oldest book of Chinese Medicine, Sang Han Ron, 113 prescriptions were described in which about 80 crude drugs were included, and in other old literature, Shin Nong Bon Tcho Keun, 363 crude drugs were recorded. Such drugs, in particular, those included in Sang Han Ron are generally low toxic, and the prescriptions are acting mild with less side effects, but obviously not so easy task to determine the effect of the indivisual drug from the total effects of various prescriptions which are generally consisted of many kinds of crude drugs. About 200 years ago, in the middle of Edo era, a Japanese medical doctor, Yoshimasu Todo wrote a series of books named "Yakucho", in which he described the essential various prescriptions in which the certain drugs plays the main role. This book is very suggestive to evaluate the effects of some Chinese drugs. The actual effects of Chinese medicine and drugs have widely been recognized by the East Asian peoples during their long age experiences, but still it has not been studied sufficiently by modern scientific methods to give generally acceptable evidences. During past some years, my collaborators and I have been engaged to study some well-known Chinese drugs chemically to find out the active principles in determining their chemical structures under the collaboration of pharmacologists, Prof. K. Takagi and his coworkers. In the present lecture, I would like to present two topics from our recent investigations: The studies on the principles of Paeony and Ginseng roots.

• 대한조현병학회지
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• 제17권1호
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• pp.36-42
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• 2014

Objectives : The dysfunctional neural networks underlying self-evaluation in schizophrenia are overlapped with the neural structures involved in emotion regulation. The purpose of this study was to investigate the influence of anhedonia on the self-evaluation attitude of patients with schizophrenia. Methods : Twenty healthy controls and twenty patients with schizophrenia performed a self-evaluation task, presenting a pair of the face (self, familiar other, and unfamiliar other) and word (negative, neutral, and positive noun) at the same time. Participants were asked to evaluate relevance between the pairs by pressing a corresponding button. Relevance rating scores were compared between the groups and were correlated with the severity of physical and social anhedonia. Results : Patients evaluated the condition of a self face with a negative word and a familiar face with a negative word to be more relevant than healthy controls. In the patient group, the scores of relevance rating in the condition of an unfamiliar other face with a negative word were positively correlated with the anhedonia scale scores (physical : r=0.486, p=0.030 ; social : r=0.499, p=0.025). There was no correlation between the self-evaluation attitude and the severity of anhedonia. Conclusion : Patients with schizophrenia evaluate themselves badly in only negative circumstances, and anhedonia is not related to self-evaluation, but rather other-evaluation.

• Smart Structures and Systems
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• 제16권2호
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• pp.295-328
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• 2015

In recent years the monitoring of structural behavior through acquisition of vibrational data has become common practice. In addition, recent advances in sensor development have made the collection of diverse dynamic information feasible. Other than the commonly collected acceleration information, Global Position System (GPS) receivers and non-contact, optical techniques have also allowed for the synchronous collection of highly accurate displacement data. The fusion of this heterogeneous information is crucial for the successful monitoring and control of structural systems especially when aiming at real-time estimation. This task is not a straightforward one as measurements are inevitably corrupted with some percentage of noise, often leading to imprecise estimation. Quite commonly, the presence of noise in acceleration signals results in drifting estimates of displacement states, as a result of numerical integration. In this study, a new approach based on a time domain identification method, namely the Unscented Kalman Filter (UKF), is proposed for correcting the "drift effect" in displacement or rotation estimates in an online manner, i.e., on the fly as data is attained. The method relies on the introduction of artificial white noise (WN) observations into the filter equations, which is shown to achieve an online correction of the drift issue, thus yielding highly accurate motion data. The proposed approach is demonstrated for two cases; firstly, the illustrative example of a single degree of freedom linear oscillator is examined, where availability of acceleration measurements is exclusively assumed. Secondly, a field inspired implementation is presented for the torsional identification of a tall tower structure, where acceleration measurements are obtained at a high sampling rate and non-collocated GPS displacement measurements are assumed available at a lower sampling rate. A multi-rate Kalman Filter is incorporated into the analysis in order to successfully fuse data sampled at different rates.