• Journal of Korean Neurosurgical Society
• /
• 제58권2호
• /
• pp.163-166
• /
• 2015

The prophylactic use of phenytoin during and after brain surgery and cranial irradiation is a common measure in brain tumor therapy. Phenytoin has been associated with variety of adverse skin reactions including urticaria, erythroderma, erythema multiforme (EM), Stevens-Johnson syndrome, and toxic epidermal necrolysis. EM associated with phenytoin and cranial radiation therapy (EMPACT) is a rare specific entity among patients with brain tumors receiving radiation therapy while on prophylactic anti-convulsive therapy. Herein we report a 41-year-old female patient with left temporal glial tumor who underwent surgery and then received whole brain radiation therapy and chemotherapy. After 24 days of continous prophylactic phenytoin therapy the patient developed minor skin reactions and 2 days later the patient returned with generalized erythamatous and itchy maculopapuler rash involving neck, chest, face, trunk, extremities. There was significant periorbital and perioral edema. Painful mucosal lesions consisting of oral and platal erosions also occurred and prevented oral intake significantly. Phenytoin was discontinued gradually. Systemic admistration of corticosteroids combined with topical usage of steroids for oral lesions resulted in complete resolution of eruptions in 3 weeks. All cutaneous lesions in patients with phenytoin usage with the radiotherapy must be evoluated with suspicion for EM.

• 무역상무연구
• /
• 제53권
• /
• pp.233-264
• /
• 2012

This study proposes and verifies an integrated model that reflects and helps to explain complexities and comprehensiveness of e-Trade in practice. The primary objective was to widen and deepen our understanding about the phenomena of paperless trading which will enable us to formulate an effective means to promote the adoption and utilization of e-Trade infrastructure. This investigation combined and extended the theories and models of TAM, TOE framework, and TTF in order to identify and hypothesize the causal relationships between factors of technology, organization and environment, and the usage level and performance of e-Trade. The previous research on e-Trade was reviewed and incorporated into the extended model. The integrated model was tested based on the survey data collected from a sample of 417 trading firms. Overall, the regression and path analysis demonstrated the usefulness of the proposed model as a conceptual framework for better understanding and explanation of e-Trade. The result of the analysis implies the relevancy of the factors of technology, organization and environment for facilitating usage of and increasing performance of e-Trade. However, rejection of a few hypothesized relationships implies the necessity of extensive promotion and education about the related laws and regulations, and education, supervision and incentives for e-Trade practitioners.

• ETRI Journal
• /
• 제33권2호
• /
• pp.267-274
• /
• 2011

This paper proposes an efficient masking method for the block cipher SEED that is standardized in Korea. The nonlinear parts of SEED consist of two S-boxes and modular additions. However, the masked version of these nonlinear parts requires excessive RAM usage and a large number of operations. Protecting SEED by the general masking method requires 512 bytes of RAM corresponding to masked S-boxes and a large number of operations corresponding to the masked addition. This paper proposes a new-style masked S-box which can reduce the amount of operations of the masking addition process as well as the RAM usage. The proposed masked SEED, equipped with the new-style masked S-box, reduces the RAM requirements to 288 bytes, and it also reduces the processing time by 38% compared with the masked SEED using the general masked S-box. The proposed method also applies to other block ciphers with the same nonlinear operations.

• 대한예방한의학회지
• /
• 제27권2호
• /
• pp.85-107
• /
• 2023

Objective : To investigate the usage of Korean herbal medicine (KHM) for climacteric symptoms, this study reviewed clinical studies conducted in Korea. Method : Literature search was performed on three Korean database; OASIS, RISS and NDSL. Studies published before July 2023 were categorized and analyzed according to the study type and herbal prescriptions. Results : Fifty-eight studies including 7 controlled trial, 27 case series and 24 single case reports were included in our review and the total number of case patients was 420. 52 prescriptions based on syndrome identifications and 11 prescriptions of Sasang constitutions were used and the most frequently used prescriptions were Soyosan(逍遙散) and Guibitang(歸脾湯). Thirty-two prescriptions were also mentioned in previous delphi research or clinical practice guideline, and the rest were not. Thirty-five studies used acupuncture combined with KHM and 10 studies used pharmacopuncture and 5 studies used herbal hipbath. Conclusion : To increase the therapeutic effect of KHM and establish KHM as an alternative to hormone treatment, various prescriptions should be used according to syndrome identifications in the clinical field. High-quality RCTs on frequently used prescriptions and the development of various type of KHM are also necessary.

• 한국실내디자인학회논문집
• /
• 제17권6호
• /
• pp.71-81
• /
• 2008

The purposes of this research are to correctly understand the relationship between a visual communication structure and a semantic communication structure when integrating and changing various architectural visual information. This study will classify various diagrams, which have been actively applied to the works of Rem Koolhaas and MVRDV when designing architecture, and based on the classification, it will analyze how the expression viewpoints inherent in the diagrams are changed and applied to processing and changing architectural visual information. The transformal usage of the visual information of architectural diagrams is classified into an analysis-centered processing method and a concept-centered processing method, and the characteristics of their usage are analyzed. The former shows an observer-centered expression viewpoint which effectively delivers an architect's analyzed architectural information or intent to a customer or an observer. It also allows an easy perception of the analyzed data, and uses qualitative expression viewpoints. The method combines systematic expression viewpoints, which value a relationship with visual information, and various architectural visual information; uses the combined expression viewpoints as one diagram for delivering various information simultaneously and for changing visual information. The latter shows author-centered subjective expression viewpoints, which are different from reproduction-centered fixed expression viewpoints. This method uses arbitrary expression viewpoints that overly extort, change or manipulate visual information. It shows simultaneous expression viewpoints that integrate various architectural visual information via omniscient expression viewpoints, such as reversing or projecting the points of viewing subjects, which human beings cannot perceive.

• 디지털융복합연구
• /
• 제15권7호
• /
• pp.359-365
• /
• 2017

본 연구에서는 UHD방송 이용에 영향을 미치는 요인들을 중심으로 구조모형 분석을 실시했다. UHDTV에 대한 인지된 품질, 개인의 혁신성향, 가격 민감도 등 독립변인이 인지된 유용성과 인지된 사용용이성에 미치는 영향, 나아가 이것들이 UHDTV 이용의사에 미치는 영향을 분석했다. 특히 신기술 채택이 갖는 상징성 요인에 주목해 이를 조절변인으로 사용했다. PLS로 분석한 연구결과, 인지된 품질의 영향력 계수가 다른 변인에 비해 크게 높았다. UHD콘텐츠 등 이용자가 기대하는 서비스 품질, 사용경험(UX)이 가장 중요한 요소임을 알 수 있다. 그러나 상징성과 인지된 품질이 결합된 조절효과는 인지된 유용성에 (-)영향을 미치는 것으로 나타나, 이용자들이 UHD이용의 상징성을 중요하게 생각할수록 UHD품질과 유용성에 대한 평가가 부정적인 것을 알 수 있다. 2017년 5월 지상파 UHD본방송 시작과 함께, 무엇보다 이용자들이 원하는 양질의 콘텐츠 제작과 유통이 가장 큰 과제로 남는다.

• 한국산업정보학회논문지
• /
• 제22권4호
• /
• pp.11-18
• /
• 2017

본 논문은 소비자에게 공급되는 수돗물의 공급시설(Water Supply Network)에 IoT 기술을 활용하여 소비자의 물 사용량을 원격으로 검침하고, 공급시설의 누수를 줄여서 원가를 절감하는 스마트 물관리(Smart Water Management) 기술의 적용효과를 검증하였다. SWM 실증모형은 수돗물 공급시설에 원격 누수감지센서, 스마트 미터링(Smart Metering), 초소형 멀티센서를 설치하고, 원격에서 운영현황을 실시간으로 감시하고 소비자에게 수돗물 사용량과 수질을 스마트폰 앱으로 제공하였다. 이때, 소비자가 수돗물 사용량 정보를 이용하여 수돗물을 아껴 쓰는지, 수돗물 수질정보를 이용하여 직접 음용하는지를 조사하였다. 특히, 본 연구에서는 SWM을 실증 적용함으로써 공급시설의 유수율 향상, 수돗물 음용률 향상, 소비자 민원 감소, 운영비용 절감, 수돗물 사용량 절감이 달성되는지를 검증하는데 목적이 있다. 또한 수돗물 공급시설의 IoT 센서, 운영자 모니터링 시스템, 이상발생시 탐사복구 솔루션이 융합된 하나의 SWM 모델을 수립하였으며, 관련 기술 개발을 통해 국내 물산업을 육성하고, SWM을 선진수준으로 확산하였다는데 의의가 있다고 하겠다.

• 대한토목학회논문집
• /
• 제29권3D호
• /
• pp.329-334
• /
• 2009

차량들의 차량추종과 차로변경에 행태에 의해 차량 교통류는 다양한 형태를 보이게 되며, 차로변경의 행태에 따라 차로이용률은 매우 다양하게 나타난다. 따라서 미시적 차량 모의실험을 이용하여 다양한 교통류를 설명하기 위해서는 차량추종과 더불어 다양한 차로이용 행태를 구현하는 차로변경 모형이 필수적이다. 국내의 경우 차량추종모형에 대한 연구는 보고되고 있으나 차로변경모형에 대한 연구는 미흡한 실정이다. 따라서 본 연구에서는 대규모 고속도로망 모의실험에 적합한 CA(Cellular Automata)모형을 기반으로 미시적 2차로 차로변경모형을 개발하였다. 개발된 모형을 기존의 CA 차량추종모형과 결합하여 모의실험을 수행한 결과, 다양한 차로이용률 행태를 설명하는 것으로 분석되었다. 개발된 차로변경모형은 보다 다양한 고속도로 교통류의 모의실험에 활용될 것으로 기대된다.

• 한국생물정보학회:학술대회논문집
• /
• 한국생물정보시스템생물학회 2003년도 제2차 연례학술대회 발표논문집
• /
• pp.133-138
• /
• 2003

The prediction of protein secondary structure has been an important bioinformatics tool that is an essential component of the template-based protein tertiary structure prediction process. It has been known that the predicted secondary structure information improves both the fold recognition performance and the alignment accuracy. In this paper, we describe several novel ideas that may improve the prediction accuracy. The main idea is motivated by an observation that the protein's structural information, especially when it is combined with the evolutionary information, significantly improves the accuracy of the predicted tertiary structure. From the non-redundant set of protein structures, we derive the 'potential' parameters for the protein secondary structure prediction that contains the structural information of proteins, by following the procedure similar to the way to derive the directional information table of GOR method. Those potential parameters are combined with the frequency matrices obtained by running PSI-BLAST to construct the feature vectors that are used to train the support vector machines (SVM) to build the secondary structure classifiers. Moreover, the problem of huge model file size, which is one of the known shortcomings of SVM, is partially overcome by reducing the size of training data by filtering out the redundancy not only at the protein level but also at the feature vector level. A preliminary result measured by the average three-state prediction accuracy is encouraging.

• 전자공학회논문지B
• /
• 제28B권10호
• /
• pp.831-841
• /
• 1991

A combined model of probabilistic and MLP(multi layer perceptron) model is proposed for the pattern classification of EMG( electromyogram) signals. The MLP model has a problem of not guaranteeing the global minima of error and different quality of approximations to Bayesian probabilities. The probabilistic model is, however, closely related to the estimation error of model parameters and the fidelity of assumptions. A proper combination of these will reduce the effects of the problems and be robust to input variations. Proposed model is able to get the MAP(maximum a posteriori probability) in the probabilistic model by estimating a priori probability distribution using the MLP model adaptively. This method minimize the error probability of the probabilistic model as long as the realization of the MLP model is optimal, and this is a good combination of the probabilistic model and the MLP model for the usage of MLP model reliability. Simulation results show the benefit of the proposed model compared to use the Mlp and the probabilistic model seperately and the average calculation time fro classification is about 50ms in the case of combined motion using an IBM PC 25 MHz 386model.