• Quality Improvement in Health Care
• /
• v.3 no.2
• /
• pp.26-35
• /
• 1997

Background : Glycopeptide antibiotics are the only drugs for treatment of infections due to beta-lactam-resistant Gram-positive bacteria. As the incidence of infection and colonization with vancomycin-resistant enterococci(VRE) rapidly increases, the hospital infection control practices advisory committee(HICPAC) recommends prudent vancomycin use to detect, prevent and control infection and colonization with VRE. Methods : The inpatients admitted from September to December, 1996 in Pusan National University Hospital, with Gram-positive bacterial infections were evaluated retrospectively to see whether the administrations of glycopeptide antibiotics were appropriate or not, upon comparison with the recommendations for preventing the spread of vancomycin resistance by HICPAC. Results : Teicoplanin has been chosen more frequently than vancomycin of the glycopeptide antibiotics. The indications of administration of glycopeptides in patients with pneumonia, wound infections, sepsis, and in febrile or neutropenic patients with malignancies were appropriate, but the use of glycopeptides for elimination of merely colonized bacteria in the oral cavity could not be excluded. Inappropriate use of glycopeptides was 10.6%, and inappropriately long-term use without positive culture for beta-lactam-resistant Gram-positive organisms was about 40% of total days of drug use. Conclusion : It seems essential for the quality assurance committee to make a plan in teaching the HICPAC recommendations to the medical practitioners who prescribed the glycopeptides inappropriately or used for irrelevantly long to his patient, monitor and survey their use of glycopeptides prospectively and periodically, and if there are repeated inappropriate prescriptions, a certain penalty would be given to the practitioners.

• Journal of Digital Contents Society
• /
• v.16 no.4
• /
• pp.605-613
• /
• 2015

This paper addresses the problem to make sparse the projection matrix in pattern recognition method. Recently, the size of computer program is often restricted in embedded systems. It is very often that developed programs include some constant data. For example, many pattern recognition programs use the projection matrix for dimension reduction. To improve the recognition performance, very high dimensional feature vectors are often extracted. In this case, the projection matrix can be very big. Recently, RSR(roated sparse regression) method[1] was proposed. This method has been proved one of the best algorithm that obtains the sparse matrix. We propose three methods to improve the RSR; outlier removal, sampling and elastic net RSR(E-RSR) in which the penalty term in RSR optimization function is replaced by that of the elastic net regression. The experimental results show that the proposed methods are very effective and improve the sparsity rate dramatically without sacrificing the recognition rate compared to the original RSR method.

• Journal of environmental and Sanitary engineering
• /
• v.8 no.2
• /
• pp.25-48
• /
• 1993

International concern over the environmental pollution is ever increasing, and diversified countermeasures must be devised in Korea also. Global trend, damages, problems and countermeasures with respect to issues mentioned in the Rio Declaration, such as prevention of ozone layer destruction, reduction of migratory atmospheric pollution between neighboring countries, and prevention of global greenhouse effect, were discussed in this report. Conclusion of the report is summarized as follows : A. Measurement, Planning and Monitoring (1) Development and implementation of a global network for measurement and monitoring from the global aspects such factors as related to acid rain(Pioneer substances, pH, sulfate, nitrate), effect of global temperature(Air temperature, $CO_2$, $CH_4$, CFC, $N_2O$) and destruction of ozone layer($CFC_S$). (2) Establishment of network system via satellite monitoring movement of regional air mass, damage on the ozone layer and ground temperature distribution. B. Elucidation of Present State (1) Improvement and development of devices for carbon circulation capable of accurately forecasting input and output of carbon. (2) Developmental research on chemical reactions of greenhouse gas in the air. (3) Improvement and development of global circulation model(GCM) C. Impact Assessment Impact assessment on ecosystem, human body, agriculture, floodgate, land use, coastal ecology, industries, etc. D. Preventive Measures and Technology Development (1) Development and consumption of new energy (2) Development of new technology for removal of pioneer substances (3) Development of substitute matter for $CFC_S$ (4) Improvement of agriculture and forestry means to prevent the destruction of ozone layer and the greenhouse effect of the globe (5) Improvement of housing to prevent the destruction of ozone layer and the greenhouse effect of the globe (6) Development of new technology for probing underground water (7) Preservation of forest (8) Biomass 5. Policy Development (1) Development of strategy model (2) Development of long term forecast model (3) Development of penalty charge effect and expense evaluation methods (4) Feasibility study on regulations By establishing the above mentioned measures for environmentally sound and sustainable development to establish the right to live for humankind and to preserve the one and only earth.

• The Journal of the Korea Contents Association
• /
• v.15 no.1
• /
• pp.86-94
• /
• 2015

This study is carried out to critically explore the direction of the improvement of the protection clauses of minor artists which is the core of Popular Culture Art Industrial Development Act enforced from July 29, 2014. The analysis shows that the law accepted the social issues such as the prevention of procuring minor prostitution, slave contracts(unfair long-term contracts), and third party's profit-extortion. However, the law missing or not specifically stated about age-based differential enforcement of work hours, dangerous acting scenes shouldn't be forced to minors, right to sleep, health, and study, as well as the penalty regulations in violation of each clause. Consequently, the Act's revision and supplementation is necessary to fully meet above insufficiencies referring to foreign practices.

• Structural Engineering and Mechanics
• /
• v.56 no.5
• /
• pp.707-726
• /
• 2015

There is a growing trend of considering uncertainty in optimization process since last few decades. In this regard, Robust Design Optimization (RDO) scheme has gained increasing momentum because of its virtue of improving performance of structure by minimizing the variation of performance and ensuring necessary safety and feasibility of constraint under uncertainty. In the present study, RDO of reinforced concrete folded plate and shell structure has been carried out incorporating uncertainty in the relevant parameters by Monte Carlo Simulation. Folded plate and shell structures are among the new generation popular structures often used in aesthetically appealing constructions. However, RDO study of such important structures is observed to be scarce. The optimization problem is formulated as cost minimization problem subjected to the force and displacements constraints considering dead, live and wind load. Then, the RDO is framed by simultaneously optimizing the expected value and the variation of the performance function using weighted sum approach. The robustness in constraint is ensured by adding suitable penalty term and through a target reliability index. The RDO problem is solved by Sequential Quadratic Programming. Subsequently, the results of the RDO are compared with conventional deterministic design approach. The parametric study implies that robust designs can be achieved by sacrificing only small increment in initial cost, but at the same time, considerable quality and guarantee of the structural behaviour can be ensured by the RDO solutions.

• Journal of Navigation and Port Research
• /
• v.26 no.5
• /
• pp.517-524
• /
• 2002

This study aims to analyse the actual conditions of Korean fishing boat being seized in Japan's EEZ and to provide the countermeasures against that problem. According to the analysis of that actual conditions, Korean fishermen are trespassing Japan's EEZ in which fishery resources are abundant because of exhaustion of fishery resources and polluted water in Korean coastal sean. In the past, That behavior was not illegal. Now, however, it became illegal with the effectuation of the United National Conventions on the Law of the Sea(1994) and the Korean-Japanese Fisheries Agreement(1999). In order to resolve that problem on a long-term basis, it is necessary to turn over national fishery policy, to provide fishing people with other means of living, and to establish the Korean-Japanese cooperation system of fishery management. Most of all, it is urgent to mitigate and remit a penalty which was executed in Japan, to amplify personal and material resources need to guide and control fishery, and to construct a close cooperation system between the National Maritime Policy Agency and the Ministry of Maritime and Fisheries Affairs.

• The Transactions of The Korean Institute of Electrical Engineers
• /
• v.66 no.12
• /
• pp.1772-1781
• /
• 2017

In this study, the design methodology for alleviating the overfitting problem of Polynomial Neural Networks(PNN) is realized with the aid of two kinds techniques such as L2 regularization and Sum of Squared Coefficients (SSC). The PNN is widely used as a kind of mathematical modeling methods such as the identification of linear system by input/output data and the regression analysis modeling method for prediction problem. PNN is an algorithm that obtains preferred network structure by generating consecutive layers as well as nodes by using a multivariate polynomial subexpression. It has much fewer nodes and more flexible adaptability than existing neural network algorithms. However, such algorithms lead to overfitting problems due to noise sensitivity as well as excessive trainning while generation of successive network layers. To alleviate such overfitting problem and also effectively design its ensuing deep network structure, two techniques are introduced. That is we use the two techniques of both SSC(Sum of Squared Coefficients) and $L_2$ regularization for consecutive generation of each layer's nodes as well as each layer in order to construct the deep PNN structure. The technique of $L_2$ regularization is used for the minimum coefficient estimation by adding penalty term to cost function. $L_2$ regularization is a kind of representative methods of reducing the influence of noise by flattening the solution space and also lessening coefficient size. The technique for the SSC is implemented for the minimization of Sum of Squared Coefficients of polynomial instead of using the square of errors. In the sequel, the overfitting problem of the deep PNN structure is stabilized by the proposed method. This study leads to the possibility of deep network structure design as well as big data processing and also the superiority of the network performance through experiments is shown.

• The Korean Journal of Applied Statistics
• /
• v.34 no.6
• /
• pp.863-874
• /
• 2021

In this paper, we propose a post-selection inference procedure for the fused lasso signal approximator (FLSA). The FLSA finds underlying sparse piecewise constant mean structure by applying total variation (TV) semi-norm as a penalty term. However, it is widely known that this convex relaxation can cause asymptotic inconsistency in change points detection. As a result, there can remain false change points even though we try to find the best subset of change points via a tuning procedure. To remove these false change points, we propose a post-selection inference for the FLSA. The proposed procedure applies a permutation test based on CUSUM statistic. Our post-selection inference procedure is an extension of the permutation test of Antoch and Hušková (2001) which deals with single change point problems, to multiple change points detection problems in combination with the FLSA. Numerical study results show that the proposed procedure is better than naïve z-tests and tests based on the limiting distribution of CUSUM statistics.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2023.05a
• /
• pp.150-150
• /
• 2023

기작기반의 역학적 모델과 자료기반의 딥러닝 모델은 수질예측에 다양하게 적용되고 있으나, 각각의 모델은 고유한 구조와 가정으로 인해 장·단점을 가지고 있다. 특히, 딥러닝 모델은 우수한 예측 성능에도 불구하고 훈련자료가 부족한 경우 오차와 과적합에 따른 분산(variance) 문제를 야기하며, 기작기반 모델과 달리 물리법칙이 결여된 예측 결과를 생산할 수 있다. 본 연구의 목적은 주요 상수원인 댐 저수지를 대상으로 수심별 수온과 탁도를 예측하기 위해 기작기반과 자료기반 모델의 장점을 융합한 PGDL(Process-Guided Deep Learninig) 모델을 개발하고, 물리적 법칙 만족도와 예측 성능을 평가하는데 있다. PGDL 모델 개발에 사용된 기작기반 및 자료기반 모델은 각각 CE-QUAL-W2와 순환 신경망 딥러닝 모델인 LSTM(Long Short-Term Memory) 모델이다. 각 모델은 2020년 1월부터 12월까지 소양강댐 댐 앞의 K-water 자동측정망 지점에서 실측한 수온과 탁도 자료를 이용하여 각각 보정하고 훈련하였다. 수온 및 탁도 예측을 위한 PGDL 모델의 주요 알고리즘은 LSTM 모델의 목적함수(또는 손실함수)에 실측값과 예측값의 오차항 이외에 역학적 모델의 에너지 및 질량 수지 항을 제약 조건에 추가하여 예측결과가 물리적 보존법칙을 만족하지 않는 경우 penalty를 부가하여 매개변수를 최적화시켰다. 또한, 자료 부족에 따른 LSTM 모델의 예측성능 저하 문제를 극복하기 위해 보정되지 않은 역학적 모델의 모의 결과를 모델의 훈련자료로 사용하는 pre-training 기법을 활용하여 실측자료 비율에 따른 모델의 예측성능을 평가하였다. 연구결과, PGDL 모델은 저수지 수온과 탁도 예측에 있어서 경계조건을 통한 에너지와 질량 변화와 저수지 내 수온 및 탁도 증감에 따른 공간적 에너지와 질량 변화의 일치도에 있어서 LSTM보다 우수하였다. 또한 역학적 모델 결과를 LSTM 모델의 훈련자료의 일부로 사용한 PGDL 모델은 적은 양의 실측자료를 사용하여도 CE-QUAL-W2와 LSTM 보다 우수한 예측 성능을 보였다. 연구결과는 다차원의 역학적 수리수질 모델과 자료기반 딥러닝 모델의 장점을 결합한 새로운 모델링 기술의 적용 가능성을 보여주며, 자료기반 모델의 훈련자료 부족에 따른 예측 성능 저하 문제를 극복하기 위해 역학적 모델이 유용하게 활용될 수 있음을 시사한다.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
• /
• v.12
• /
• pp.429-460
• /
• 1999

The letter of credit is quintessentially international. In the absence of international legal system, a private system based on banking practices has evolved, commanding the adherence of the international letter of credit community and providing the foundation of th reputation of this instrument. To maintain this international system, it is vital that international standard banking practice should not be subject to local interpretations that misconstrue or distort it. The UCP is a formulation of international standard banking practice. It is neither positive law nor a "contract term" in any traditional sense and its interpretation must be consonant with its character as a living repositary of international understanding in this field. As a result, the interpretation and application of specific articles of the UCP must be consistent with its evolving character and history and with the principles upon which sound letter of credit practice is predicated. This study, especially, focuses on article 13 and article 14 of the UCP500. Article 13(b) of UCP500 stipulates that banks will have a reasonable time, not to exceed seven days, to examine documents to determine whether they comply facially with the terms of the credit. The seven-day provision is not designed as a safe harbor, because the rule requires the issuer to act within a reasonable time. But, by virtue of the deletion of the preclusion rule in the document examination article in UCP500, however, seven days may evolve as something of a safe harbor, especially for banks that engage in strategic behavior. True, under UCP500 banks are supposed to examine documents within a reasonable time, but there are no consequences in UCP500 for a bank's violation of that duty. It is only in the next provision. Courts might read the preclusion more broadly than the literal reading mentioned here or might fashion a common-law preclusion rule that does not require a showing of detriment. Absent that kind of development, the change in the preclusion rule could have adverse effects on the beneficiary. The penalty, strict estoppel or strict preclusion, under UCP500 and 95UCC differs from the classic estoppel. The classic estoppel rule requires a beneficiary to show three elements. 1. conduct on the part of the issuer that leads the beneficiary to believe that nonconforming documents do conform; 2. reasonable reliance by the beneficiary; and 3. detriment from that reliance. But stict preclusion rule needs not detrimental reliance. This strict estoppel rule is quite strict, and some see it as a fitting pro-beneficiary rule to counterbalance the usually pro-issuer rule of strict compliance.