• Structural Engineering and Mechanics
• /
• 제55권5호
• /
• pp.953-964
• /
• 2015

A model has been proposed that can predict the ultimate torsional strength of single-box multi-cell reinforced concrete box girder under combined loading of bending, shear and torsion. Compared with the single-cell box girder, this model takes the influence of inner webs on the distribution of shear flow into account. According to the softening truss theory and thin walled tube theory, a failure criterion is presented and a ultimate torsional strength calculating procedure is established for single-box multi-cell reinforced concrete box girder under combined actions, which considers the effect of tensile stress among the concrete cracks, Mohr stress compatibility and the softened constitutive law of concrete. In this paper the computer program is also compiled to speed up the calculation. The model has been validated by comparing the predicted and experimental members loaded under torsion combined with different ratios of bending and shear. The theoretical torsional strength was in good agreement with the experimental results.

• 정보보호학회논문지
• /
• 제32권5호
• /
• pp.817-826
• /
• 2022

AI 기술이 여러 분야에 성공적으로 도입되는 추세이며, 서비스로 환경에 배포된 모델들은 지적 재산권과 데이터를 보호하기 위해 모델의 정보를 노출시키지 않는 블랙 박스 상태로 배포된다. 블랙 박스 환경에서 공격자들은 모델 출력을 이용해 학습에 쓰인 데이터나 파라미터를 훔치려고 한다. 본 논문은 딥러닝 모델을 대상으로 모델 종류에 대한 정보를 추론하는 공격이 없다는 점에서 착안하여, 모델의 구성 레이어 정보를 직접 알아내기 위해 모델의 종류를 추론하는 공격 방법을 제안한다. MNIST 데이터셋으로 학습된 ResNet, VGGNet, AlexNet과 간단한 컨볼루션 신경망 모델까지 네 가지 모델의 그레이 박스 및 블랙 박스 환경에서의 출력값을 이용해 모델의 종류가 추론될 수 있다는 것을 보였다. 또한 본 논문이 제안하는 방식인 대소 관계 피쳐를 딥러닝 모델에 함께 학습시킨 경우 블랙 박스 환경에서 약 83%의 정확도로 모델의 종류를 추론했으며, 그 결과를 통해 공격자에게 확률 벡터가 아닌 제한된 정보만 제공되는 상황에서도 모델 종류가 추론될 수 있음을 보였다.

• 한국융합학회논문지
• /
• 제11권8호
• /
• pp.55-61
• /
• 2020

본 연구는 G시의 보건소 직원 168명을 대상으로 2018년 9월 1일부터 2018년 9월 29일까지 조직몰입도와 조직의 산출요소인 임파워먼트를 파악하고, Six-Box Model을 이용하여 조직진단을 알아보기 위한 서술적조사연구이다. Six-Box Model을 이용한 보건소 조직진단에서 지원 영역은 3.62점, 변화에 대한 태도 영역은 3.62점으로 타 영역에 비해 높은 점수를 나타냈다. 성별에 따라서는 관계, 보상, 변화에 대한 태도 영역이 남자에 비해 여자의 점수가 높게 나타났다. 직종에 따라서는 간호직의 목표, 관계, 보상, 지원 영역 점수가 타 직종에 비해 높게 나타났다. 앞으로 보건소는 보건행정 및 의료서비스를 지역사회 주민들에게 제공하는 공공기관으로서, 지속적인 보건소 조직진단을 통해 조직의 역량을 개선해야 할 것이다.

• 대한기계학회:학술대회논문집
• /
• 대한기계학회 2003년도 추계학술대회
• /
• pp.1602-1607
• /
• 2003

Vibration causes noise and sometimes makes structure unstable. Especially, due to the efforts of lightening, deformation of flexible structure is increased in its shape. Just a little disturbance can cause vibration and low damping ratio makes residual vibration last long time. This research is concerned with the model reference neuro-controller design for the vibration suppression of smart structures. By using a model reference neurocontroller, which is one of the algorithms of adaptive control, we performed an adaptive control of flexible cantilever plate and opened box structure with piezoelectric materials. The proposed adaptive vibration control algorithm, a model reference neuro-controller, was proved in its effectiveness by applying to an opened box structure. The model reference neuro-controller is implemented with DSP, and the real-time adaptive vibration control experiment results confirm that the model reference neuro-controller is reliable.

• 한국철도학회:학술대회논문집
• /
• 한국철도학회 1998년도 추계학술대회 논문집
• /
• pp.39-46
• /
• 1998

This paper is about design for diaphragm of prestressed concrete box bridge using strut-tie model. In this paper, equivalent loads for the diaphragm are computed by considering loading conditions on continuous prestressed concrete box bridge and analyses for both longitudinal section and transverse section of the diaphragm an done by considering the equivalent loading and the prestressing. Based on principal stress trajectory obtained from the analyses, strut-tie model for each sections are constructed. By analyzing the constructed strut-tie model for each sections, the amounts and the locations of reinforcement for the diaphragm are obtained. The application of strut-tie model in this paper shows that the design by soul-tie model for the diaphragm of prestressed concrete box bridges can be rationally performed.

• Communications for Statistical Applications and Methods
• /
• 제12권2호
• /
• pp.359-364
• /
• 2005

This paper considers a specification test of conditional Poisson regression model for time series count data. Although conditional models for count data have received attention and proposed in several ways, few studies focused on checking its adequacy. Motivated by the test of martingale difference assumption, a specification test via Ljung-Box statistic is proposed in the conditional model of the time series count data. In order to illustrate the performance of Ljung- Box test, simulation results will be provided.

• 한국소음진동공학회논문집
• /
• 제17권11호
• /
• pp.1112-1118
• /
• 2007

It was discussed to identify Thiele Small Parameters for Pseudo loudspeaker within 10mm grade microspeaker attached to closed-box using known dynamic mass of moving parts. Also, enhanced circuit model for vented-box micro speaker system was used to more accurately simulate electrical impedance curves for real vented-box microspeaker system and compared to test results. Consequently, it showed that micro speaker could be modeled by pseudo loudspeaker TS parameters similar to general loudspeaker. Vented-box microspeaker model with pseudo loudspeaker TS parameters was well suited to describe real microspeaker. Also, it was proposed to estimate volume of rear closed-box of microspeaker without design specifications.

• Steel and Composite Structures
• /
• 제22권6호
• /
• pp.1217-1238
• /
• 2016

Mega composite structure systems have been widely used in high rise buildings in China. Compared to other structures, this type of composite structure systems has a larger cross-section with less weight. Concrete filled steel tubular (CFST) laced column to box-beam connections are gaining popularity, in particular for the mega composite structure system in high rise buildings. To enable a better understanding of the destruction characteristics and aseismic performance of these connections, three different connection types of specimens including single-limb bracing, cross bracing and diaphragms for core area of connections were tested under low cyclic and reciprocating loading. Hysteresis curves and skeleton curves were obtained from cyclic loading tests under axial loading. Based on these tested curves, a new trilinear hysteretic restoring force model considering rigidity degradation is proposed for CFST laced column to box-beam connections in a mega composite structure system, including a trilinear skeleton model based on calculation, law of stiffness degradation and hysteresis rules. The trilinear hysteretic restoring force model is compared with the experimental results. The experimental data shows that the new hysteretic restoring force model tallies with the test curves well and can be referenced for elastic-plastic seismic analysis of CFST laced column to composite box-beam connection in a mega composite structure system.

• Steel and Composite Structures
• /
• 제38권6호
• /
• pp.657-670
• /
• 2021

This paper presents a designing method for enhancing fire resistance of steel box bridge girders (closed steel box bridge girder supporting a thin concrete slab) through taking into account such parameters namely; fire severity, type of longitudinal stiffeners (I, L, and T shaped), and number of longitudinal stiffeners. A validated 3-D finite element model, developed through the computer program ANSYS, is utilized to go over the fire response of a typical steel box bridge girder using the transient thermo-structural analysis method. Results from the numerical analysis show that fire severity and type of longitudinal stiffeners welded on bottom flange have significant influence on fire resistance of steel box bridge girders. T shaped longitudinal stiffeners applied on bottom flange can highly prevent collapse of steel box bridge girders towards the end of fire exposure. Increase of longitudinal stiffeners on bottom flange and web can slightly enhance fire resistance of steel box bridge girders. Rate of deflection-based criterion can be reliable to evaluate fire resistance of steel box bridge girders in most fire exposure cases. Thus, T shaped longitudinal stiffeners on bottom flange incorporated into bridge fire-resistance design can significantly enhance fire resistance of steel box bridge girders.

• 한국포장학회지
• /
• 제29권3호
• /
• pp.163-174
• /
• 2023

Though box compression strength (BCS) is commonly used as a performance criterion for shipping containers, estimating BCS remains a challenge. In this study, artificial neural networks (ANN) are implemented as a new tool, with a focus on building up ANN architectures for BCS estimation. An Artificial Neural Network (ANN) model can be constructed by adjusting four modeling factors: hidden neuron numbers, epochs, number of modeling cycles, and number of data points. The four factors interact with each other to influence model accuracy and can be optimized by minimizing model's Mean Squared Error (MSE). Using both data from the literature and "synthetic" data based on the McKee equation, we find that model estimation accuracy remains limited due to the uncertainty in both the input parameters and the ANN process itself. The population size to build an ANN model has been identified based on different data sets. This study provides a methodology guide for future research exploring the applicability of ANN to address problems and answer questions in the corrugated industry.