• 대한조선학회지
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• 제13권4호
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• pp.19-24
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• 1976

Some method of analysis of rectangular plates under distributed load of various intensity with all edges built in are presented in. Analysis of many structures such as bottom, side shell, and deck plate of ship hull, and flat slab, deck systems of bridges is a problem of plate with continuous supports or clamped edges. When the four edges of rectangular plate is simply supported, the double fourier series solution developed by Navier can represent an exact result of this problem. If two opposite edges are simply supported, Levy's method is available to give an "exact" solution. When the loading condition and boundary condition of a plate does not fall into these cases, no simple analytic method seems to be feasible. Analysis of a plate under distributed loads of various intensity with all edges built in is carried out by applying Navier solution and Levy's method as well as "Principle of Superposition" In discussing this problem we start with the solution of the problem for a simply supported rectangular plate and superpose on the deflection of such a plate the deflections of the plate by slopes distributed along the all edges. These slopes we adjust in such a manner as to satisfy the condition of no rotation at the boundary of the clamped plate. This method can be applied for the cases of plates under irregularly distributed loads of various intensity with two opposite edges simply supported and the other two edges clamped and all edges simply supported and this method can also be used to solve the influence values of deflection, moment and etc. at arbitrary position of plates under the live load.

• Smart Structures and Systems
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• 제33권3호
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• pp.189-199
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• 2024

To properly extract the strain components under varying operational conditions is very important in bridge health monitoring. The abnormal sensor readings can be correctly identified and the expected operational performance of the bridge can be better understood if each strain components can be accurately quantified. In this study, strain components under varying load conditions, i.e., temperature variation and live-load variation are evaluated based on field strain measurements collected from a real concrete box-girder bridge. Temperature-induced strain is mainly regarded as the trend variation along with the ambient temperature, thus a smoothing technique based on the wavelet packet decomposition method is proposed to estimate the temperature-induced strain. However, how to effectively extract the vehicle-induced strain is always troublesome because conventional threshold setting-based methods cease to function: if the threshold is set too large, the minor response will be ignored, and if too small, noise will be introduced. Therefore, an autoencoder framework is proposed to evaluate the vehicle-induced strain. After the elimination of temperature and vehicle-induced strain, the left of which, defined as the model error, is used to assess the operational performance of the bridge. As empirical techniques fail to detect the degraded state of the structure, a clustering technique based on Gaussian Mixture Model is employed to identify the damage occurrence and the validity is verified in a simulation study.

• 한국구조물진단유지관리공학회 논문집
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• 제12권4호
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• pp.195-202
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• 2008

현존하는 교량의 실제적인 거동에 대한 보다 정확한 예측방법의 개발은 보수보강이 필요한 교량에 예산이 집중될 수 있도록 하여 교량운영의 경제성 및 안전성 측면에서 매우 중요하다. 특히 교량의 형태와 설치 지역의 활하중의 특성을 고려하며 활하중에 교량이 반응하는 실제적인 거동을 파악하여 실제적인 교량의 내하력 평가 이외에도 평가대상 교량의 선정 및 평가의 우선순위를 결정하여 교량의 유지 보수에 사용되는 예산의 보다 효율적인 집행을 가능하게 할 수 있다. 이 연구에서는 교량 현장실험에서 얻어지는 결과를 신뢰성 해석에 반영하여 보다 실제적인 교량 안전성 평가의 방법론을 연구하였다. 17개의 강거더 교량에 대해 기존의 교량 실험 결과를 토대로 교량의 내하력을 평가하기 위하여 2단계의 신뢰성 해석을 수행하였다. 우선 대상교량에 대해 설계에 사용된 계수 및 공칭강도를 이용하여 신뢰성 해석을 수행하였으며 2단계 신뢰성 해석에서는 교량 실험 결과를 신뢰성 해석에 포함하였다. 해석 결과를 비교해 본 결과 교량실험을 통한 각종 구조적 계수의 불확실성 제거를 통해 교량의 안전성을 저해하지 않고도 대상 교량의 신뢰성이 대폭 증가하는 결과를 얻을 수 있었다.

• Journal of Veterinary Science
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• 제25권5호
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• pp.70.1-70.12
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• 2024

Importance: Infectious bursal disease (IBD) is an important viral poultry disease that vaccination can control. Objective: This study examined the immune protection of immune-complex (Vaccine A) and attenuated live (Vaccine B) IBD vaccines in specific-pathogen-free (SPF) chickens against a novel Malaysian variant IBD virus (vaIBDV) challenge. Methods: One-day-old (n =75) SPF chickens were divided randomly into the following three groups of 25 chicks each: Control, Vaccine A, and Vaccine B groups. The vaIBDV strain, UPM1432/2019, was used for the challenge at 21 and 28days post-vaccination (dpv). Five birds from unchallenged and challenged groups were sacrificed seven days post-challenge, and blood, bursa, spleen, and cloacal swabs were collected. The IBD antibodies (Abs), lymphoid lesions, and viral load were determined. Results: The UPM1432/2019 virus induced bursal damage in vaccinated SPF chickens despite Ab titers. The mean Ab titers of the Vaccine A challenged group were significantly lower (p < 0.002) than in the unchallenged group at 28 dpv. The bursal indices of the vaccinated unchallenged groups did not differ significantly from those of the vaccinated challenged groups (p = 0.94). Microscopically, the bursae of the challenged groups showed significant atrophy. The bursal lesion score was higher (p < 0.05) in the control and Vaccine B challenged groups than the Vaccine A challenged group. The challenged group had a higher viral load than the vaccinated groups (p < 0.001). Conclusions and Relevance: Neither vaccine fully protected against a vaIBDV challenge, highlighting the limitations of current vaccines and the need for further research.

• Earthquakes and Structures
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• 제5권4호
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• pp.439-459
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• 2013

Main objective of the present study is to determine the statistical properties and suitable probability distribution functions of spectral displacements from nonlinear static and nonlinear dynamic analysis within the frame work of Monte Carlo simulation for typical low rise and high rise RC framed buildings located in zone III and zone V and designed as per Indian seismic codes. Probabilistic analysis of spectral displacement is useful for strength assessment and loss estimation. To the author's knowledge, no study is reported in literature on comparison of spectral displacement including the uncertainties in capacity and demand in Indian context. In the present study, uncertainties in capacity of the building is modeled by choosing cross sectional dimensions of beams and columns, density and compressive strength of concrete, yield strength and elastic modulus of steel and, live load as random variables. Uncertainty in demand is modeled by choosing peak ground acceleration (PGA) as a random variable. Nonlinear static analysis (NSA) and nonlinear dynamic analysis (NDA) are carried out for typical low rise and high rise reinforced concrete framed buildings using IDARC 2D computer program with the random sample input parameters. Statistical properties are obtained for spectral displacements corresponding to performance point from NSA and maximum absolute roof displacement from NDA and suitable probability distribution functions viz., normal, Weibull, lognormal are examined for goodness-of-fit. From the hypothesis test for goodness-of-fit, lognormal function is found to be suitable to represent the statistical variation of spectral displacement obtained from NSA and NDA.

• 한국주거학회:학술대회논문집
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• 한국주거학회 2009년도 추계학술발표대회 논문집
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• pp.121-125
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• 2009

The nursing-care insurance system started in April, 2000 in Japan. It was a kind of business opportunities for a lot of private entrepreneurs. They came into this care service business from another type of business rapidly. They opened the pay nursing homes with 24 hour nursing. However, the expense load of the nursing-care insurance system was large, local governments started controlling on total numbers of facilities with 24 hours nursing in 2006. So the group houses besides the pay nursing home without nursing care are paid to attention. The pay nursing home has been often managed by the nursing business. Most of the group houses are managed by community based NPO. This study is a case study by the visit and the interview form for one of the group houses. The group house "Shalom Tsukimino" in Kanagawa started operations comparatively at early time among them. Through the study we recognized that a lot of people were helping the NPO as a community service. So they can manage the group house and people who live there get the services with low cost. They show that they separate residence and nursing and use the community service efficiently. We can find a new direction in this case for the life in elderly.

• 수산해양기술연구
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• 제37권1호
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• pp.52-56
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• 2001

별도의 엔진 구동형 소형 패키지 해수냉각시스템을 개발하기 위하여 압축기 회전수와 냉각수 유량 및 온도, 냉수 유량을 파라미터로 장치의 운전 특성을 파악한 결과 다음과 같은 결론을 얻었다. (1) 압축기 회전수와 증발기의 냉수 및 응축기의 냉각수 유량이 증가할수록 장치의 냉동능력은 증가하였으며, 압축기 회전수 및 냉각수 온도가 증가할수록 구동엔진의 연료소비량도 증가하였다. (2) 압축기 회전수와 냉각수 및 냉수의 유량이 증가할수록 냉각시스템의 성능계수는 증가하였으며, 냉각수 온도 및 압축기 회전수가 감소함에 따라서는 감소하였다. (3) 별도 엔진 구동용 소형 해수냉각장치 개발 및 운전조건 변화에 따른 시스템의 특성과 운전조건변화의 상관 관계를 파악할 수 있었으며, 시스템의 상용화 설계를 위한 기초자료를 얻을 수 있었다.

• 전기학회논문지
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• 제62권5호
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• pp.667-672
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• 2013

In this paper, we propose a multi-impedance changes localization method of on-voltage underground power cable using the wavelet transform based time-frequency domain reflectometry (WTFDR). To localize the impedance change in on-voltage power cable, the TFDR is the most suitable among reflectometries because the inductive coupler is used to inject the reference signal to the live cable. At this time, the actual on-voltage power cable has multi-impedance changes such as the automatic section switches and the auto load transfer switches. However, when the multi-impedance changes are generated in the close range, the conventional TFDR has the cross term interference problem because of the nonlinear characteristics of the Wigner-Ville distribution. To solve the problem, the wavelet transform (WT) is used because it has the linearity. That is, using WTFDR, the cross term interference is not generated in multi-impedance changes due to the linearity of the WT. To confirm the effectiveness and accuracy of the proposed method, the actual experiments are carried out for the on-voltage underground power cable.

• Structural Engineering and Mechanics
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• 제51권6호
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• pp.989-1003
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• 2014

In the preliminary design stage of an RC 3D-frame, repeated sequential analyses to determine optimal members' sizes and the investigation of the parameters required to minimize the differential column shortening are computational effort consuming, especially when considering various types of loads such as dead load, temperature action, time dependent effects, construction and live loads. Because the desired accuracy at this stage does not justify such luxury, two backpropagation feedforward artificial neural networks have been proposed in order to approximate this information. Instead of using a commercial software package, many references providing advanced principles have been considered to code a program and generate these neural networks. The first one predicts the typical amount of time between two phases, needed to achieve the minimum maximorum differential column shortening. The other network aims to prognosticate sequential analysis results from those of the simultaneous analysis. After the training stages, testing procedures have been carried out in order to ensure the generalization ability of these respective systems. Numerical cases are studied in order to find out how good these ANN match with the sequential finite element analysis. Comparison reveals an acceptable fit, enabling these systems to be safely used in the preliminary design stage.

• International Journal of Internet, Broadcasting and Communication
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• 제9권4호
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• pp.59-66
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• 2017

Cloud computing has evolved into a core computing infrastructure for the internet that encompasses content, as well as communications, applications and commerce. By providing powerful computing and communications capabilities in the palm of the hand everywhere with a variety of smart devices, mobile applications such as virtual reality, sensing and navigation have emerged and radically changed the patterns people live. The data that is generated is getting bigger. Cloud computing, on the other hand, has problems with system load and speed due to the collection, processing and control of remote data. To solve this problem, fog computing has been proposed in which data is collected and processed at an edge. In this paper, we propose a system that dynamically selects a fog server that acts as a cloud in the edge. It serves as a mediator in the cloud, and provides information on the services and systems belonging to the cloud to the mobile device so that the mobile device can act as a fog. When the role of the fog system is complete, we provide it to the cloud to virtualize the fog. The heterogeneous problem of data of mobile nodes can be solved by using mDBaaS (Mobile DataBase as a Service) and we propose a system design method for this.