• 척추신경추나의학회지
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• 제11권2호
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• pp.23-33
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• 2016

Objectives : This study aimed to determine the evidence of effectiveness and safety of Chuna manual therapy for adult constipation patients. Methods : We searched 10 electronic databases(Ovid-MEDLINE, Pubmed, EMBASE, Cochrane Library, CAJ, Oasis, KISS, NDSL, KMBASE, KISTI) and related 2 journals up to October 2016. We included randomized controlled trials(RCTs) of testing Chuna manual therapy for adults constipation patients. The methodological quality of RCTs related assessed by the Cochrane risk of bias tool. Results : Nine RCTs were eligible in our inclusion criteria. The meta-analysis of 6 studies showed positive results for the use of Chuna manual therapy for constipation. Conclusions : There is favorable evidence of Chuna manual therapy for treating adult constipation with meta-analysis. However, our systematic review has limited evidence to support Chuna manual therapy for constipation because of low quality of original articles and further well-designed RCTs should be encouraged.

• Smart Structures and Systems
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• 제25권1호
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• pp.1-22
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• 2020

The modal strain energy method is one of the efficient methods for detecting damage in the structures. Due to existing some limitations in real-world structures, sensors can only be located on a limited number of degrees of freedom (DOFs) of a structure. Therefore, the mode shape values in all DOFs of structures cannot be measured. In this paper, a modified modal strain energy based index (MMSEBI) is introduced to locate damaged elements of structures when a limited number of sensors are used. The proposed MMSEBI is based on the reconstruction of mode shapes using Improved Reduction System (IRS) method. Therefore, in the first step by employing IRS method, mode shapes in slave degrees of freedom are estimated by those of master degrees of freedom. In the second step, the proposed MMSEBI is used to located damage elements. In order to evaluate the efficiency of the proposed method, two numerical examples are considered under different damage patterns considering the measurement noise. Moreover, the universal threshold based on statistical hypothesis testing principles is applied to damage index values. The results show the effectiveness of the proposed MMSEBI for the structural damage localization when comparing with the available damage index named MESBI. The results demonstrate that the presented method can be used as a practical strategy for structural damage identification, especially when a limited number of sensors are installed on the structure. Finally, the combination of MMSEBI and IRS method can provide a reliable tool to identify the location of damage accurately.

• 대한안전경영과학회지
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• 제16권2호
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• pp.43-52
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• 2014

In weapon systems development, live fire tests have been frequently adopted to evaluate the performance of the systems under development. Therefore, it is necessary to ensure safety in the test ranges where the live fire tests can cause serious hazards. During the tests, a special care must be taken to protect the test and evaluation (T&E) personnel and also test assets from potential danger and hazards. Thus, the development and management of the range safety process is quite important in the tests of guided missiles and artillery considering the explosive power of the destruction. Note also that with a newly evolving era of weapon systems such as laser, EMP and non-lethal weapons, the test procedure for such systems is very complex. Therefore, keeping the safety level in the test ranges is getting more difficult due to the increased unpredictability for unknown hazards. The objective of this paper is to study on how to enhance the safety in the test ranges. To do so, an approach is proposed based on model-based systems engineering (MBSE). Specifically, a functional architecture is derived utilizing the MBSE method for the design of the range safety process under the condition that the derived architecture must satisfy both the complex test situation and the safety requirements. The architecture developed in the paper has also been investigated by simulation using a computer-aided systems engineering tool. The systematic application of this study in weapon live tests is expected to reduce unexpected hazards and test design time. Our approach is intended to be a trial to get closer to the recent theme in T&E community, "Testing at the speed of stakeholder's need and rapid requirement for rapid acquisition."

• 한국정보처리학회논문지
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• 제6권5호
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• pp.1280-1290
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• 1999

기존의 수정 영향 분석은 단일 환경을 기반으로 하기 때문에 분산 환경에 직접 적용하기 어렵다. 본 논문에서는 분산 환경에서 객체지향 소프트웨어의 수정 영향을 분석한다 객체지향 소프트례어의 수정을, 자료, 매소드, 클래스의 집합으로 구분 하여 수정 영향을 분석하였으며, 분석 결과를 DPDG(Oistributed Program Dependency Graph)에 표현하였다. DPDG는 분산 환경에서의 객체지향 소프트웨어들의 관계를 메소드, 자료요소, 클래스, 설계 문서, 서버 등을 사용하여 그래프에 표시한다 DPG는 소프트웨어에 수정 발생 시, 재시험하여야하는 소프트웨어 요소를 찾기 위한 그래프이다 따라서, DPDG를 통해 재 시험에 드는 노력을 절약할 수 있다 본 논문에서는,OPDG를 통해 발견된 절약된 재시험 요소를 방화벽 테이블로 나타내었 으며, 이를 구현하여 본 논문에서 설계한 시험 지원도구 VIST(Visua! Infonnation Structure Tester)에서 사용하였다. VIST 는 절약된 방화벽을 사용하여, 분산 객체지향 소프트웨어 시험에 드는 노력과 비용을 절약하는 도구이다.

• 정보처리학회논문지C
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• 제10C권6호
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• pp.705-710
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• 2003

최근 대부분의 정보 교류가 네트워크 환경 기반에서 이루어지고 있다. 때문에 외부의 침입으로부터 시스템을 보호해 주는 네트워크 침입 탐지 기술에 대한 연구가 매우 중요한 문제로 대두되고 있다. 하지만 시스템에 대한 침입 기술은 날로 새로워지고 더욱 정교화 되고 있어 이에 대한 대비가 절실한 실정이다. 현재 대부분의 침입 탐지 시스템은 이미 알려진 외부의 침입으로부터의 경험 데이터를 이용하여 침입 유형에 효과적으로 대처하지 못하게 된다. 따라서, 본 논문에서는 통계적 학습 이론과 우도비검정 통계량을 이용하여 새로운 침입 유형까지 탐지해 낼 수 있는 변형된 통계적 학습 모형을 제안하였다. 즉, 기존의 정상적인 네트워크 사용에서 벗어나는 형태들에 대한 모형화를 통하여 시스템에 대한 침입 탐지를 수행하였다. KDD Cup-99 Task 데이터를 이용하여 정상적인 네트워크 사용을 벗어나는 새로운 침입을 제안 모형이 효과적으로 탐지함을 확인하였다.

• Journal of Information Science Theory and Practice
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• 제4권2호
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• pp.34-52
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• 2016

This study was designed to investigate organizational culture and emotional intelligence as predictors of job performance among library personnel in Edo state, Nigeria. The survey research design was employed for the study with a population size of 181 library personnel in the 15 academic libraries under study, and due to the manageable population size, total enumeration was adopted as the sampling technique. The questionnaire was used to elicit data from the respondents. Of the 181 copies of the questionnaire administered, 163 copies were retrieved and found valid for analysis constituting a 90% response rate. Four research questions and four null hypotheses (tested at 0.05 level of significance) were formulated to guide the study. The tool used to analyze the research question was descriptive statistics (percentage, mean, and standard deviation) and inferential statistics (correlation and multiple regression) for testing the hypotheses. The findings of the study revealed that there is a high level of job performance, good organizational culture, and high level of emotional intelligence among the personnel. Organizational culture and emotional intelligence jointly and significantly predict job performance of personnel. There is significant positive correlation between organizational culture and job performance. The linear combination of emotional intelligence and organizational culture predict job performance of library personnel in the academic libraries under study. The research concludes that there is a need for high job performance in libraries which is predicted by the organizational culture of the library and the level of emotional intelligence of the library personnel.

• 한국수학교육학회지시리즈A:수학교육
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• 제59권1호
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• pp.31-45
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• 2020

시대적 흐름과 정부의 정책 시행 노력에도 불구하고 수학학습에 어려움을 호소하는 학생들이 많이 늘어나고 있다. 이를 반영하여 수학교육에서 수학학습부진아와 관련된 연구가 많이 시행되었다. 하지만 이러한 연구들의 대부분은 수학학습부진아의 원인을 밝혀내거나 교수학적 처치를 시행하고 그 효과를 알아보는 실험연구가 대부분이었다. 따라서 본 연구에서는 학위논문 및 학술지 논문 49편을 메타분석하여 수학학습부진에 대한 교수학적 처치가 학업성취도 향상에 얼마나 큰 효과크기를 갖는지 분석하였다. 이러한 분석의 결과 수학학습부진아에게 교수학적 처치는 전반적으로 중간 정도의 효과크기를 갖는다는 것을 알게 되었다. 또한 여러 중재요인을 분석하여 어떠한 환경에서 가장 큰 효과를 거둘 수 있는지에 대한 제안점도 얻을 수 있었다.

• 한국지리정보학회지
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• 제12권4호
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• pp.182-190
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• 2009

자동차 보유대수 증가에 따른 교통 혼잡과 대기오염 및 에너지 과다사용 문제를 극복하기 위해 녹색교통수단인 자전거이용의 중요성이 현저하게 대두되고 있지만, 부산시는 지형적 특성과 대중교통 접근성의 한계 등으로 인해 자전거 이용률이 상대적으로 낮은 실정이다. 따라서 지리적 여건과 이용활성화를 고려한 자전거도로의 노선선정이 이루어져야 할 것이다. 본 연구는 계층분석법(AHP)을 이용하여 노선선정 인자의 가중치를 산정하고, GIS 소프트웨어를 이용하여 데이터베이스를 구축한 뒤, 산정된 가중치를 적용하여 노선을 도출하였다. GIS 기반에서 AHP 분석을 수행한 결과, 조사의 일관성을 검증함으로써 신뢰성 있는 자료를 얻을 수 있었고 임의로 선정된 노선보다 이용수요가 많은 곳으로 노선이 도출되었다. 따라서 향후 지역의 특수성을 반영한 노선선정이나 투자 우선순위 결정 등에 본 연구가 활용될 것으로 기대된다.

• Journal of Veterinary Science
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• 제22권3호
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• pp.25.1-25.16
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• 2021

Background: Malignant lymphoma is the most common hematopoietic malignancy in dogs, and relapse is frequently seen despite aggressive initial treatment. In order for the treatment of these recurrent lymphomas in dogs to be effective, it is important to choose a personalized and sensitive anticancer agent. To provide a reliable tool for drug development and for personalized cancer therapy, it is critical to maintain key characteristics of the original tumor. Objectives: In this study, we established a model of hybrid tumor/stromal spheroids and investigated the association between canine lymphoma cell line (GL-1) and canine lymph node (LN)-derived stromal cells (SCs). Methods: A hybrid spheroid model consisting of GL-1 cells and LN-derived SC was created using ultra low attachment plate. The relationship between SCs and tumor cells (TCs) was investigated using a coculture system. Results: TCs cocultured with SCs were found to have significantly upregulated multidrug resistance genes, such as P-qp, MRP1, and BCRP, compared with TC monocultures. Additionally, it was revealed that coculture with SCs reduced doxorubicin-induced apoptosis and G2/M cell cycle arrest of GL-1 cells. Conclusions: SCs upregulated multidrug resistance genes in TCs and influenced apoptosis and the cell cycle of TCs in the presence of anticancer drugs. This study revealed that understanding the interaction between the tumor microenvironment and TCs is essential in designing experimental approaches to personalized medicine and to predict the effect of drugs.

• 한국환경보건학회지
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• 제47권5호
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• pp.462-471
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• 2021

Background: The number of synthesized chemicals has rapidly increased over the past decade. For many chemicals, there is a lack of information on toxicity. With the current movement toward reducing animal testing, the use of toxicity big data and deep learning could be a promising tool to screen potential toxicants. Objectives: This study identified potential chemicals related to reproductive and estrogen receptor (ER)-mediated toxicities for 1135 cleaning products and 886 laundry products. Methods: We listed chemicals contained in cleaning and laundry products from a publicly available database. Then, chemicals that potentially exhibited reproductive and ER-mediated toxicities were identified using the European Union Classification, Labeling and Packaging classification and ToxCast database, respectively. For chemicals absent from the ToxCast database, ER activity was predicted using deep learning models. Results: Among the 783 listed chemicals, there were 53 with potential reproductive toxicity and 310 with potential ER-mediated toxicity. Among the 473 chemicals not tested with ToxCast assays, deep learning models indicated that 42 chemicals exhibited ER-mediated toxicity. A total of 13 chemicals were identified as causing reproductive toxicity by reacting with the ER. Conclusions: We demonstrated a screening method to identify potential chemicals related to reproductive and ER-mediated toxicities utilizing chemical toxicity big data and deep learning. Integrating toxicity data from in vivo, in vitro, and deep learning models may contribute to screening chemicals in consumer products.