• 한국과학교육학회지
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• 제27권1호
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• pp.1-8
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• 2007

본 연구의 목적은 SSS 실험수업이 중3학생들의 과학에 관련된 태도와 과학적 태도에 미치는 효과를 알아보는 것이었다. 포항에 있는 중학교에서 두 학급이 선택되었고, 두 집단으로 분류되었다: 26명으로 구성된 실험집단은 SSS를 활용한 과학 실험수업에 참가하였고, 25명으로 이루어진 비교집단은 전통적 실험수업에 참여하였다. 이 연구의 주요 시사점은 다음과 같다: SSS 실험수업은 학생들의 과학에 관련된 태도와 과학적 태도에서 실험집단에 긍정적인 영향을 미치고 있었다. 그리고 과학에 관련된 태도와 과학적 태도의 하위영역에서 실험수업 전후에 유의미한 차이를 나타내었다. 반면에 비교집단에서는 유의미한 차이가 없었다. 결론적으로 SSS를 활용한 학급은 학생들의 과학에 관련된 태도와 과학적 태도 형성에 좋은 영향을 받는다는 것을 시사한다. 특히 과학교과에 대한 태도와 같은 과학에 관련된 태도의 하위요소 향상이 두드러지고, 과학적 태도의 하위요소인 호기심, 비판성, 협동성, 자진성, 끈기성, 독창성이 SSS 실험수업 후에 향상된다. 그러므로 SSS 실험수업이 적용될 때 학습태도를 개선할 수 있다.

• Smart Structures and Systems
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• 제21권3호
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• pp.335-347
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• 2018

The fast-growing number of mobile and wearable applications has driven several innovations in small-scale electret-based energy harvesting due to the compatibility with standard microfabrication processes and the ability to generate electrical energy from ambient vibrations. However, the current modeling methods used to design these small scale transducers or microgenerators are applicable only for constant-speed rotations and small sinusoidal translations, while in practice, large amplitude sinusoidal vibrations can happen. Therefore, in this paper, we formulate an analytical model for electret-based microgenerators under general sinusoidal excitations. The proposed model is validated using finite element modeling combined with numerical simulation approaches presented in the literature. The new model demonstrates a good agreement in estimating both the output voltage and power of the microgenerator. This new model provides useful insights into the microgenerator operating mechanism and design trade-offs, and therefore, can be utilized in the design and performance optimization of these small structures.

• Smart Structures and Systems
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• 제31권1호
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• pp.69-78
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• 2023

The purpose of this paper is to develop a scalable grey predictive controller with unavoidable random delays. Grey prediction is proposed to solve problems caused by incorrect parameter selection and to eliminate the effects of dynamic coupling between degrees of freedom (DOFs) in nonlinear systems. To address the stability problem, this study develops an improved gray-predictive adaptive fuzzy controller, which can not only solve the implementation problem by determining the stability of the system, but also apply the Linear Matrix Inequality (LMI) law to calculate Fuzzy change parameters. Fuzzy logic controllers manipulate robotic systems to improve their control performance. The stability is proved using Lyapunov stability theorem. In this article, the authors compare different controllers and the proposed predictive controller can significantly reduce the vibration of offshore platforms while keeping the required control force within an ideal small range. This paper presents a robust fuzzy control design that uses a model-based approach to overcome the effects of modeling errors. To guarantee the asymptotic stability of large nonlinear systems with multiple lags, the stability criterion is derived from the direct Lyapunov method. Based on this criterion and a distributed control system, a set of model-based fuzzy controllers is synthesized to stabilize large-scale nonlinear systems with multiple delays.

• Smart Structures and Systems
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• 제6권5_6호
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• pp.545-559
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• 2010

This paper presents the results of a pilot study and verification of a concept of a novel methodology for damage detection and assessment of water distribution system. The unique feature of the proposed noninvasive methodology is the use of accelerometers installed on the pipe surface, instead of pressure sensors that are traditionally installed invasively. Experimental observations show that a sharp change in pressure is always accompanied by a sharp change of pipe surface acceleration at the corresponding locations along the pipe length. Therefore, water pressure-monitoring can be transformed into acceleration-monitoring of the pipe surface. The latter is a significantly more economical alternative due to the use of less expensive sensors such as MEMS (Micro-Electro-Mechanical Systems) or other acceleration sensors. In this scenario, monitoring is made for Maximum Pipe Acceleration Gradient (MPAG) rather than Maximum Water Head Gradient (MWHG). This paper presents the results of a small-scale laboratory experiment that serves as the proof of concept of the proposed technology. The ultimate goal of this study is to improve upon the existing SCADA (Supervisory Control And Data Acquisition) by integrating the proposed non-invasive monitoring techniques to ultimately develop the next generation SCADA system for water distribution systems.

• Smart Structures and Systems
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• 제25권6호
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• pp.765-778
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• 2020

The present study intends to find a proper solution for the estimation of the physical behaviors of enlarged piles through a combination of small-scale laboratory tests and a hybrid computational predictive intelligence process. In the first step, experimental program is completed considering various critical influential factors. The results of the best multilayer perceptron (MLP)-based predictive network was implemented through three mathematical-based solutions of dragonfly algorithm (DA), whale optimization algorithm (WOA), and ant lion optimization (ALO). Three proposed models, after convergence analysis, suggested excellent performance. These analyses varied based on neurons number (e.g., in the basis MLP hidden layer) and of course, the level of its complexity. The training R² results of the best hybrid structure of DA-MLP, WOA-MLP, and ALO-MLP were 0.996, 0.996, and 0.998 where the testing R² was 0.995, 0.985, and 0.998, respectively. Similarly, the training RMSE of 0.046, 0.051, and 0.034 were obtained for the training and testing datasets of DA-MLP, WOA-MLP, and ALO-MLP techniques, while the testing RMSE of 0.088, 0.053, and 0.053, respectively. This obtained result demonstrates the excellent prediction from the optimized structure of the proposed models if only population sensitivity analysis performs. Indeed, the ALO-MLP was slightly better than WOA-MLP and DA-MLP methods.

• Smart Structures and Systems
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• 제18권3호
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• pp.601-623
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• 2016

Precast concrete elements are widely used in the construction of buildings and civil infrastructures as they provide higher construction quality and requires less construction time. However, any abnormalities in precast concrete surfaces such as non-flatness or distortion, can influence the erection of the elements as well as the functional performance of the connections between elements. Thus, it is important to undertake surface flatness and distortion inspection (SFDI) on precast concrete elements before their delivery to the construction sites. The traditional methods of SFDI which are conducted manually or by contact-type devices are, however, time-consuming, labor-intensive and error-prone. To tackle these problems, this study proposes techniques for SFDI of precast concrete elements using laser scanning technology. The proposed techniques estimate the $F_F$ number to evaluate the surface flatness, and estimate three different measurements, warping, bowing, and differential elevation between adjacent elements, to evaluate the surface distortion. The proposed techniques were validated by experiments on four small scale test specimens manufactured by a 3D printer. The measured surface flatness and distortion from the laser scanned data were compared to the actual ones, which were obtained from the designed surface geometries of the specimens. The validation experiments show that the proposed techniques can evaluate the surface flatness and distortion effectively and accurately. Furthermore, scanning experiments on two actual precast concrete bridge deck panels were conducted and the proposed techniques were successfully applied to the scanned data of the panels.

• 한국환경농학회지
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• 제27권1호
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• pp.18-26
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• 2008

본 연구는 농촌전원독립가구 하수처리장에서 오염물질의 존재형태별 처리 경향을 파악하여 하수처리장의 설계 및 시공 시 부지면적 감소와 오염물질의 처리효율 극대화를 위한 기초자료로 활용하기 위하여 농촌전원독립가구 하수처리장에서 하수 중 오염물질의 거동 특성과 오염물질의 존재형태별 분해속도를 각각 조사하였다. 하수 중 오염물질의 존재형태별 거동을 조사한 결과 BOD 및 COD는 대부분 호기성조에서 처리되었으며, 처리된 BOD와 COD는 대부분 insoluble형태이었다. 그러나 무산소조와 혐기성조에서의 BOD와 COD는 존재형태별로 별 차이 없었다. SS는 대부분 호기성조에서 처리되었으며, 처리된 SS는 대부분 volatile 형태이었다. T-N은 BOD, COD 및 SS와 달리 호기성조에서 처리효율이 높지 않았고, 처리된 대부분의T-N은 dissolved 형태이었다. T-P는 모든 조에서 일정하게 처리효율이 증가되었으며, 처리된 T-P는 대부분 dissolved 형태이었다. 현장 하수처리장에서 존재형태별 오염물질의 분해속도를 조사한 결과 BOD, COD 및 SS의 분해속도는 호기성조에서 각각 30.79, 17.15 및 29.96 $day^{-1}$로 무산소조 및 혐기성조에 비해 매우 빨랐으며, 호기성조에서 존재형태별 분해속도는BOD 및 COD의 경우 insoluble 형태가 빨랐으며, SS의 경우 fixed 형태가 빨랐다. T-N 및 T-P의 분해속도는 호기성조에서 각각 4.78 및 13.09 $day^{-1}$로 다른 조에 비해 약간 빨랐으며, 호기성조에서 존재형태별 분해속도는 suspended 형태가 약간 빨랐고, 혐기성조와 무산소조에서는 별 차이 없이 비슷하였다. 이상의 결과는 하수처리장의 설계 및 시공 시 부지면적 감소와 오염물질의 처리효율 극대화를 위한 기초자료로 활용 할 수 있을 것으로 판단된다.

• Smart Structures and Systems
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• 제21권4호
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• pp.397-405
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• 2018

In this paper, a novel simple shear deformation theory for buckling analysis of single layer graphene sheet is formulated using the nonlocal differential constitutive relations of Eringen. The present theory involves only three unknown and three governing equation as in the classical plate theory, but it is capable of accurately capturing shear deformation effects, instead of five as in the well-known first shear deformation theory (FSDT) and higher-order shear deformation theory (HSDT). A shear correction factor is, therefore, not required. Nonlocal elasticity theory is employed to investigate effects of small scale on buckling of the rectangular nano-plate. The equations of motion of the nonlocal theories are derived and solved via Navier's procedure for all edges simply supported boundary conditions. The results are verified with the known results in the literature. The influences played by Effects of nonlocal parameter, length, thickness of the graphene sheets and shear deformation effect on the critical buckling load are studied. Verification studies show that the proposed theory is not only accurate and simple in solving the buckling nanoplates, but also comparable with the other higher-order shear deformation theories which contain more number of unknowns.