• 호남수학학술지
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• 제45권1호
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• pp.123-129
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• 2023

In this paper, we introduce the reverse of the operator Davis-Choi-Jensen's inequality. Our results are employed to establish a new bound for the Furuta inequality. More precisely, we prove that, if $A,\;B{\in}{\mathcal{B}}({\mathcal{H}})$ are self-adjoint operators with the spectra contained in the interval [m, M] with m < M and A ≤ B, then for any $r{\geq}{\frac{1}{t}}>1,\,t{\in}(0,\,1)$ $A^r{\leq}({\frac{M1_{\mathcal{H}}-A}{M-m}}m^{rt}+{\frac{A-m1_{\mathcal{H}}}{M-m}}M^{rt}){^{\frac{1}{t}}}{\leq}K(m,\;M,\;r)B^r,$ where K (m, M, r) is the generalized Kantorovich constant.

• Computers and Concrete
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• 제12권3호
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• pp.285-301
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• 2013

This paper concentrates on the results of experimental work on tensile strength of self-compacting concrete (SCC) caused by flexure, which is called rupture modulus. The work focused on concrete mixes having water/binder ratios of 0.35 and 0.45, which contained constant total binder contents of 500 $kg/m^3$ and 400 $kg/m^3$, respectively. The concrete mixes had four different dosages of a superplasticizer based on polycarboxylic with and without silica fume. The percentage of silica fume that replaced cement in this research was 10%. Based upon the experimental results, the existing equations for anticipating the rupture modulus of SCC according to its compressive strength were not exact enough. Therefore, it is decided to use artificial neural networks (ANN) for anticipating the rupture modulus of SCC from its compressive strength and workability. The conclusion was that the multi layer perceptron (MLP) networks could predict the tensile strength in all conditions, but radial basis (RB) networks were not exact enough in some circumstances. On the other hand, RB networks were more users friendly and they converged to the final networks quicker.

• Computers and Concrete
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• 제15권6호
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• pp.935-950
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• 2015

The aim of this study is to provide experimental data regarding the compressive, shear and torsional strength of self-compacting concrete (SCC) used in rectangular beams, and then comparing the results with the equations presented by the CSA A23.3-04 and ACI 318-11. In fact, the gathered information in this field is quite useful for calibrating the computer models of other researchers. The other goal of this study was to investigate the effects of silica fume and superplasticizer dosages on the mechanical properties of SCC. In this research, SCC is made based on 16 different type mixing layout. Also two normal concrete (NC) or vibrating concrete are constructed to compare the results of SCC and NC. This work concentrated on concrete mixes having water/binder ratios of 0.45 and 0.35, which contained constant total binder contents of $400kg/m^3$ and $500kg/m^3$, respectively. The percentages of silica fume that replaced cement were 0% and 10%. The superplasticizer dosages utilized in the mixtures were 0.4%, 0.8%, 1.2% and 1.6% of the weight of cement. Beam dimensions used in this test were $30{\times}30{\times}120cm^3$. The results of this research indicated that shear and torsional strength of SCC beams to be used in computer models can be calculated utilizing the equations presented in CSA A23.3-04 and ACI 318-11.

• Smart Structures and Systems
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• 제4권3호
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• pp.305-318
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• 2008

The development of a digital signal processor based prototype is described in relation to continuing efforts for realizing a fully self-contained active sensor system utilizing impedance-based structural health monitoring. The impedance method utilizes a piezoelectric material bonded to the structure under observation to act as both an actuator and sensor. By monitoring the electrical impedance of the piezoelectric material, insights into the health of the structured can be inferred. The active sensing system detailed in this paper interrogates a structure utilizing a self-sensing actuator and a low cost impedance method. Here, all the data processing, storage, and analysis is performed at the sensor location. A wireless transmitter is used to communicate the current status of the structure. With this new low cost, field deployable impedance analyzer, reliance on traditional expensive, bulky, and power consuming impedance analyzers is no longer necessary. A complete power analysis of the prototype is performed to determine the validity of power harvesting being utilized for self-containment of the hardware. Experimental validation of the prototype on a representative structure is also performed and compared to traditional methods of damage detection.

• Journal of Communications and Networks
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• 제8권3호
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• pp.267-274
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• 2006

Self-spreading (SSP) is a spread spectrum technique where the spreading sequence is generated from data bits. Although SSP allows communications with low probability of interception by unintended receivers, despreading by the intended receiver is prone to error propagation. In this paper, we propose both a new transmitter and a new receiver based on SSP with the aim to a) reduce error propagation and b) increase the concealment of the transmission. We first describe a new technique for the generation of SSP spreading sequence, which generalizes SSPs of existing literature. We include also coding at the transmitter, in order to further reduce the effects of error propagation at the receiver. For the receiver, we propose a turbo architecture based on the exchange of information between a soft despreader and a soft-input soft-output decoder. We design the despreader in order to fully exploit the information provided by the decoder. Lastly, we propose a chip decoder that extracts the information on data bits contained in the spreading sequence from the received signal. The performance of the proposed scheme is evaluated and compared with existing spread-spectrum systems.

• 한국정보과학회논문지:소프트웨어및응용
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• 제36권5호
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• pp.386-395
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• 2009

다계층 구조로 설계된 현대의 분산 애플리케이션 아키텍처에서 비즈니스 엔티티는 모든 서비스 로직 컴포넌트들을 관통하는 일종의 횡단관심사(Crosscutting Concerns)이다. 그러므로 비즈니스 엔티티가 변화하면 이와 관련된 서비스 컴포넌트들은 비록 애플리케이션 프레임워크의 공통적인 기능을 구현한 서비스 로직 컴포넌트라 할지라도 새로운 비즈니스 엔티티를 다를 수 있도록 수정되어야 한다. 본 논문에서는 비즈니스 엔티티, 즉 외부화(externalized)된 데이터에 대한 가변성(variability)을 처리하는 DTT 컴포넌트 모델(Data Type-Tolerant Component Model)을 제시한다. DTT 컴포넌트 모델은 SCDT(Self-Contained Data Type)와 가변점(Variation Point) 인터페이스를 통해 프로덕트 라인의 데이터 가변성을 구현 수준에서 구체적으로 표현하고, 서비스 컴포넌트 코드 수정대신 비즈니스 엔티티와 SCDT간 타입 변환을 지원하는 데이터 타입 컨버터를 도입함으로써 애플리케이션 엔지니어링 효율을 향상시킨다. 서비스 컴포넌트가 외부화된 비즈니스 엔티티를 직접 다루지 않고 SCDT 만을 다루게 함으로써 데이터와 함수의 커플링을 다시 컴포넌트 수준에서 로컬화했다는 점이 DTT 컴포넌트 모델의 의의라 할 수 있다.

• Safety and Health at Work
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• 제11권4호
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• pp.509-516
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• 2020

Background: Meta-analyses have shown firefighters to be at an increased risk of several cancer types. Occupational carcinogen exposure may explain these increased risks. This study aims to describe Norwegian fire departments' work conditions from 1950 until today, focusing on factors relevant for potential occupational carcinogen exposure. Methods: With the help of a reference group, we developed a questionnaire on topics related to occupational exposure to carcinogens for the period 1950-2018. Selected Norwegian fire departments provided department-specific responses. Results: Sixteen departments, providing fire services for 48% of the Norwegian population as of 2019 and mainly consisting of professional firefighters, responded to our questionnaire. The introduction of synthetic firefighting foams, more regular live fire training, the introduction of chemical diving, and a higher number of diesel-driven fire service vehicles were identified as changes thought to increase exposure to occupational carcinogens. Changes thought to decrease exposure included the switch from negative to positive pressure self-contained breathing apparatuses, the use of self-contained breathing apparatuses during all phases of firefighting, the use of ventilating fans during firefighting, increased attention to flammable materials used during live fire training, increased attention to handling and cleaning of turnout gear and other equipment, and installment of exhaust removal systems in apparatus bays. Conclusion: Norwegian fire departments' work conditions have seen several changes since 1950, and this could influence firefighters' occupational carcinogen exposure. A peak of carcinogen exposure may have occurred in the 1970s and 1980s before recent changes have reduced exposure.

• 대한간호학회지
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• 제30권5호
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• pp.1181-1194
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• 2000

This study was attempted to evaluate how the self efficacy promotion and exercise training program effect on the postoperative general conditions of transplant recipients after kidney transplantations. The subjects were selected randomly among the patients who underwent renal trans- plantations at three major transplantation hospitals in Seoul, Korea. This study was carried out between November 1999 and March 2000. The observed subjects in this study consisted of 56 patients. The exercise training group(n=16) received the self efficacy promotion and exercise training program for 12 weeks which contained general knowledge for compliance instruction, exercise training and self efficacy promotion education. The self efficacy group(n=18) received general knowledge for compliance instruction and self efficacy promotion education but no exercise training was given. The control group(n=22) were not offered any education. The knowledge for compliance, self efficacy, physical conditions(weight, muscle strength, muscle endurance, flexibility), lab studies (hemoglobin, creatinine, cholesterol), activities of daily living and quality of life were evaluated 3 times, before the experiment, at 8 weeks and at 12 weeks. The data were analyzed with mean, standard deviation, Chi-square test, ANOVA and Scheff test. The results were as follows: 1. The knowledge and self efficacy score of the exercise training group and self efficacy group were significantly increased than those of the control group(p=.0001). 2. The weight of the exercise training group was significantly decreased compared to those of the self efficacy group and the control group(p=.0001). Muscle strength (grip strength, back lift strength), and flexibility of all 3 groups were significantly changed(p=.0001). However, muscle endurance in all 3 groups showed no significant differences. 3. The hemoglobin level of the exercise training group and the self efficacy group were significantly increased compared to that of the control group(p=.0001) and the cholesterol levels of the exercise training group and the self efficacy group were significantly decreased compared to that of the control group(p=,0001). However, the creatinine levels in all 3 groups showed no significant differences. 4. The activities of daily living scores of the exercise training group was significantly increased than that of the control group (p=.0003), and the quality of life scores of the exercise training group and the self efficacy group were significantly better than that of the control group(p=.0001). It would be expected that this self efficacy promotion and exercise training program could be applied widely as an effective nursing intervention for kidney transplant recipients.

• 한국심리학회지 : 문화 및 사회문제
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• 제29권1호
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• pp.147-170
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• 2023

본 연구는 트위터에서 나타나는 '자해' 및 '자살' 관련 게시물의 주요 등장 단어와 핵심 토픽을 탐색하여 그 의미를 파악하고자 하였다. 연구대상은 2019년 10월 29일부터 2020년 11월 30일까지 관련 해시태그를 포함한 '자해' 및 '자살' 관련 해시태그를 포함한 트위터 게시물이었다. 수집된 게시물을 바탕으로 텍스트 마이닝을 실시한 결과, '자해' 관련 6개, 자살 관련 5개로, 총 11개의 핵심토픽이 도출되었다. 토픽에 담긴 주요 메시지를 살펴보면 온라인 상에서는 오프라인에서 표현하기 어려운 자해와 자살 경험을 솔직하게 표현하고 있으며, 도움요청의 경로로 SNS를 활용하고 있었다. 또한 '자해' 및 '자살' 관련 게시물에서 공통 특징과 차별적 특징이 있었다. '자해' 관련 토픽에는 자해의 정서조절 및 대인관계적 기능이 주로 드러난 반면, '자살' 관련 메시지에는 자살 예방 및 사회문제 등에 대한 메시지가 보다 분명하게 드러났다. 이러한 결과는 자해 및 자살사고를 경험한 사람들과 국민들의 자해 및 자살 관련 이슈에 대한 의견을 이해할 수 있고, 효과적인 자해 및 자살예방 및 개입 방안을 모색한다는 점에서 의의가 있겠다.

• 지능정보연구
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• 제9권3호
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• pp.65-79
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• 2003

운송 컨테이너의 식별자를 추출하고 인식하는 것은 컨테이너 식별자들의 크기나 위치가 정형화되어 있지 않고 외부의 잡음으로 인하여 식별자의 형태가 훼손되어 있기 때문에 어렵다. 본 논문에서는 이러한 특성을 고려하여 컨테이너 영상에 대해 Canny 마스크를 이용하여 에지를 검출하고, 검출된 에지 정보를 이용하여 수직블록과 수평블록을 추출하여 컨테이너의 식별자 영역을 추출한다. 추출된 컨테이너의 식별자 영역에서 윤곽선 추적 알고리즘을 이용하여 개별 식별자를 추출하며, 그들의 인식을 위해서는 개선된 ARTl과 지도 학습 방법을 결합한 개선된 성능의 자가 생성 지도 학습 알고리즘을 제안하여 적용한다. 제안된 방법의 성능을 확인하기 위하여 운송 컨테이너 영상들을 대상으로 실험 결과, 윤곽선 추적 알고리즘을 이용한 식별자의 추출 방법이 히스토그램을 이용한 식별자의 추출 방법보다 추출률이 개선되었고 인식 결과에서도 개선된 ART1 기반 자가 생성 지도 학습 방법이 기존의 ART1 기반 자가 생성 지도 학습 방법보다 인식률이 향상되었다.