Mathematically modeling photosynthesis helps to interpret gas exchange in a plant and estimate the photosynthetic rate as affected by environmental factors. Notably, the photosynthetic rate varies among leaf vertical positions within a single plant. The objective of this study was to measure the distinct photosynthetic rate of lily (Lilium Oriental Hybrid ‘Casa Blanca’) at the upper, medium, and basal leaf positions. Subsequently, the FvCB (Farquhar-von Caemmerer-Berry) photosynthesis model was employed to determine the parameters of the model and compared it with a rectangular hyperbola photosynthesis model. The photosynthetic rates were measured at different intracellular CO2 concentrations () and photosynthetic photon flux density (PPFD) levels. SPAD values significantly decreased with lowered leaf position. The photosynthetic rates at the medium and basal leaves were lower compared with the upper leaves. FvCB model parameters,  and   , showed no significant difference between the medium and basal leaves. Estimated photosynthetic rates from derived parameters by the FvCB model demonstrated over 0.86 of R2 compared with measured data. The rectangular hyperbola model tended to overestimate or underestimate photosynthetic rates at high  with high PPFD levels or low  with high PPFD levels, respectively, at each leaf position. These results indicated that the parameters of the FvCB model with different leaf positions can be used to estimate the photosynthetic rate of lily.

This study aims to predict return-to-work outcomes for workers injured in industrial accidents using a TabNet-RUSBoost hybrid model. The study analyzed data from 1,383 workers who had completed recuperation. Key predictors identified include length of recuperation, disability grade, occupation activity, self-efficacy, and socioeconomic status. The model effectively addresses class imbalance and demonstrates superior predictive performance. These findings underscore the importance of a holistic approach, incorporating both medical and psychosocial factors.

Purpose: The purpose of this study was to clarify the definition of ‘death attitude’ reflecting the passage of time and socio-cultural context through conceptual analysis . Method: The concept of ‘death attitude’ was analyzed using a hybrid model to clarify the concept's properties and definition. For theoretical analysis, literature published from 2016 to 2021 was searched and a total of 33 articles including 25 domestic and 8 foreign studies were analysed. For a field study, seven adults were interviewed in May-June, 2021. Result: The domain of ‘death attitude’ concept were deduced into positive, neutral, and negative domains. At the field research stage, 'how to relieve the burden on those left behind' under the 'escape' attribute, 'no time to think about death' under the 'avoidance' attribute, and 'anxiety about unexpected death' under the 'anxiety' attribute were newly discovered. Conclusions: ‘Death attitude’ is a positive, neutral, or negative attitude toward death according to multuple characteristics such as demographics, spiritual well-being, direct or indirect experiences of death, or death-related educational experiences. Death attitude affects quality of life, meaning of life, and end-of-life care. It is important for nurses to be aware of their own death attitudes in order to provide quality end-of-life care to patients and their families.

Hybrid graphene/h-BN model is studied via molecular dynamics simulation to observe the evolution of graphene layer upon heating. Model containing 20,064 atoms is heated up from 50 to 8000 K via Tersoff and Lennard–Jones potentials. Various thermodynamic quantities, structural characteristics, and the occurrence of liquid-like atoms are studied. The Lindemann criterion for 2D case is calculated and used to observe the appearance of liquid-like atoms. The atomic mechanism of structural evolution upon heating is analyzed on the basis of the occurrence/growth of liquid-like atoms, the formation of clusters, the coordination number, and the ring statistics. The liquid-like atoms tend to form clusters and the largest cluster increases slightly in order to form a single largest cluster of liquid-like atoms. The other models such as free-standing graphene, zigzag GNR, and armchair GNR are also presented to have an entire picture about the evolution of graphene upon heating in different models. Note that the largest clusters of free-standing graphene as well as zigzag GNR, and armchair GNR tend to decrease to form a ring-like 2D liquid carbon.

최근 FRP 보강공법의 보강성능 저하 요인으로 발생하는 박리파괴를 방지하고자 다양한 앵커리지 시스템이 개발되고 있다. 본 연구는 기존 사용되고 있는 기계식 정착 앵커와 FRP 앵커를 복합하여 새로운 메커니즘의 Hybrid 앵커모델을 개발하였다. Hybrid 앵커를 개발하기 위해 다양한 종류의 기계식 앵커와 Carbon 및 Aramid 섬유를 조합하였다. 개발된 다양한 앵커모델에 대한 특성을 평가하고자 Pull out 강도 실험을 수행하였다. 예비 실험 결과 Drop-in 앵커와 Undercut 앵커의 경우 낮은 정착력으로 적용에 한계가 있었다. Stud 앵커는 높은 정착력을 확인하였으며, 앵커와 FRP를 결합하기 위해서는 일체화가 중요한 것으로 나타났다. 일체화를 위해 앵커 내부에 홀을 천공하여 FRP rod를 결합하는 형태로 I-Hybrid 앵커를 제작하였다. I-Hybrid 앵커 의 경우 앵커 내부 홀에서 뽑히는 거동을 보였다. 따라서 향후 연구에서 I-Hybrid 앵커가 일체화된다면 FRP 박리파괴 저감에 효과적일 것으로 사료된다.

Purpose: The research that uses hybrid model by Schwartz-Barcott & Kim recently gained attention in nursing academies due to its usefulness in practice. The number of research about the concept analysis and concept development using this method has been increased. The purpose of this study was to re-evaluate the Hybrid Model by Schwartz-Barcott & Kim. Methods: This study provided the concept, research design, research trends of Hybrid model through the comprehensive literature review and researcher’s analytical thinking. Results: Hybrid model was generally accepted in the literature as a new and comprehensive methodology. The design of Hybrid model, major components, strategies for sampling and data analysis, and usefulness of Hybrid model were examined. Also the research methodology in published articles in Korea were analysed. Conclusion: Hybrid model is very unique in terms as a method for concept analysis and development in the strength of combining theoretical analysis and empirical observation. Nursing researchers may take advantages of the Hybrid model in exploring nursing phenomena and concept in their research.

Structure behaviors resulting from an earthquake are experimentally simulated mainly through a shaking table test. As for large-scale structures, however, size effects over a miniature may make it difficult to assess actual behaviors properly. To address this problem, research on the hybrid simulation is being conducted actively. This method is to implement numerical analysis on framework members that affect the general behavior of the structure dominantly through an actual scale experiment and on the rest parts by applying the substructuring technique. However, existing studies on hybrid simulation focus mainly on Slow experimental methods, which are disadvantageous in that it is unable to assess behaviors close to the actual level if material properties change depending on the speed or the influence of inertial force is significant. The present study aims to establish a Real-time hybrid simulation system capable of excitation based on the actual time history and to verify its performance and applicability. The hybrid simulation system built up in this study utilizes the ATS Compensator system, CR integrator, etc. in order to make the target displacement the same with the measured displacement on the basis of MATLAB/Simulink. The target structure was a 2-span bridge and an RC pier to support it was produced as an experimental model in order for the shaking table test and Slow and Real-time hybrid simulations. Behaviors that result from the earthquake of El Centro were examined, and the results were analyzed comparatively. In comparison with the results of the shaking table test, the Real-time hybrid simulation produced more similar maximum displacement and vibration behaviors than the Slow hybrid simulation. Hence, it is thought that the Real-time hybrid simulation proposed in this study can be utilized usefully in seismic capacity assessment of structural systems such as RC pier that are highly non-linear and time-dependent.

The application of the theoretical model to real assembly lines has been one of the biggest challenges for researchers and industrial engineers. There should be some realistic approach to achieve the conflicting objectives on real systems. Therefore, in this paper, a model is developed to synchronize a real system (A discrete event simulation model) with a theoretical model (An optimization model). This synchronization will enable the realistic optimization of systems. A job assignment model of the assembly line is formulated for the evaluation of proposed realistic optimization to achieve multiple conflicting objectives. The objectives, fluctuation in cycle time, throughput, labor cost, energy cost, teamwork and deviation in the skill level of operators have been modeled mathematically. To solve the formulated mathematical model, a multi-objective simulation integrated hybrid genetic algorithm (MO-SHGA) is proposed. In MO-SHGA each individual in each population acts as an input scenario of simulation. Also, it is very difficult to assign weights to the objective function in the traditional multi-objective GA because of pareto fronts. Therefore, we have proposed a probabilistic based linearization and multi-objective to single objective conversion method at population evolution phase. The performance of MO-SHGA is evaluated with the standard multi-objective genetic algorithm (MO-GA) with both deterministic and stochastic data settings. A case study of the goalkeeping gloves assembly line is also presented as a numerical example which is solved using MO-SHGA and MO-GA. The proposed research is useful for the development of synchronized human based assembly lines for real time monitoring, optimization, and control.

플라스틱 사출 제품은 다양한 가전제품과 하이테크 제품에 널리 사용되고 있다. 그러나 현재의 치열한 경쟁적 비즈니스 환경에서 플라스틱 사출 제품 제조업자들은 고객을 만족시키면서 경쟁력을 얻기 위하여 다른 경쟁자들보다 먼저 새로운 제품을 시장에 출시하고 신제품의 개발기간을 줄이기 위한 노력을 할 여유가 부족하다. 따라서 무한경쟁의 시장에서 살아남기 위해서는 제조업자들은 시장 마켓 점유를 빠르게 올리는 것과 동시에 제품의 가격 경쟁력을 가져야 한다. 특징기반

To meet the needs of customer, manufacturing companies are diversifying product making methods. In order to adapt to changes, companies are trying to find a new manufacturing system. In this research, MTS(Make to Stock) and MTO(Make to Order) production m

현재 건축 및 토목 구조물의 진동제어에 있어서 준능동제어에 대한 연구가 많이 수행되고 있으며 준능동제어 시스템은 수동제어와 능동제어의 장점을 가지고 있다. 최근 적은 전기 에너지로 제어가 가능한 MR 감쇠기가 개발되어 준능동제어 분야에 적용되고 있으며 이러한 MR 감쇠기를 스마트 감쇠기라 불리고 있다. 본 논문에서는 실시간으로 제어가 가능한 MR 감쇠기를 인접한 두 건축물 사이에 설치하여 제어성능을 알아보고자 한다. 또한, groundhook과 skyhook 제어 알고리즘을 결합한 복합제어 모델을 인접한 건축물의 진동제어에 적용하여 복합제어 모델의 제어성능을 알아보고자 한다. 복합제어 모델을 적용하여 인접한 두 건축물의 진동제어 성능을 분석한 결과, 복합제어 모델이 인접한 두 건축물의 진동제어에 매우 효과적인 것을 알 수 있었다.

본 논문은 지진에 의한 구조물의 거동을 평가하기 위한 실험방법 중 최근 국내에 도입되어 연구되고 있는 하이브리드실험에 대한 시스템을 구축하고, 그에 따른 모델개발과 하이브리드실험을 실시하여 하이브리드실험기법의 타당성과 정확도를 평가하기 위함이다. 이를 위해 NEESgrid의 미니모스트 시스템을 벤치마킹하여 여건에 맞게 수정, 보완하였으며 2차원 평면뼈대모형을 개발하여 실험에 적용하였다. 그리고 하이브리드실험 결과의 평가를 위해 국내에서는 거의 시도되지 않았던 진동대실험과 비교를 함으로써 결과의 신뢰도를 높였다. 진동대실험에는 하이브리드실험과 동일한 크기의 실물모형을 제작, 실험하여 크기효과의 영향을 최소화하였다. 두 실험의 결과는 거의 비슷한 것으로 나타나 하이브리드실험이 진동대실험을 대체할 수 있을 것으로 판단된다.

A study of fuelcell hybrid electronic vehicle for improve fuel consumption is used one wheel dynamic vehicle model and make a profound study of control strategy for cuts fuel consumption. For this reason there is a limit to study of real vehicle fuel consumption increase with weight transfer. This study perform a precision multi-body fuelcell hybrid electronic vehicle modeling using functional suspension model have fast analysis time. Verify a improve fuel consumption in urban driving cycle compare with one wheel dynamic model and demonstrate a power loss decrease by weight transfer is causes of fuel consumption rise.

본 논문에서는 거더교 형식을 갖는 교량구조물의 격자 유한요소모델에 대한 모델개선을 위해 하이브리드 유전자 알고리즘에 기초한 유한요소 모델개선기법을 제안하였다. 하이브리드 유전자 알고리즘은 유전자 알고리즘과 심플렉스 최적화방법에 기초한 직접탐색기법으로 구성하였다. 제안된 기법에 적용할 수 있도록 고유진동수, 모드형상 및 정적 처짐에 대한 계측값과 유한요소해석 결과를 사용한 적합함수를 제시하고, 강성과 질량을 동시에 개선할 수 있도록 이들 세 가지 적합함수의 선형 조합 형태를 갖는 다중목적함수를 제시하였다. 제안된 방법은 2경간 연속 격자 유한요소모델의 수치예제와 단경간 플레이트 거더교에 대하여 검증하였다. 수치예제의 경우, 랜덤 노이즈를 고려한 계측오차의 영향을 수치해석적으로 평가하였다. 수치해석과 실험적 검증을 통해, 제안된 방법이 거더교 형식의 교량에 대한 유한요소 모델개선에 적합하고 효과적임을 검증하였다.

기존의 유한요소모델개선기법들은 측정에 의한 모달 데이터와 해석적으로 계산된 시스템 행렬로 구성된 수학적인 목적함수를 사용하거나 업데이팅 변수에 관한 모달 특성의 미분함수를 사용하여야만 한다. 따라서 교량구조물과 같은 복잡한 구조물에의 적용이 어렵고 역해석에 있어 해의 안정성 문제가 발생할 수 있다. 또한 개선된 모델이 물리적인 의미를 지니지 못할 수도 있다. 본 논문에서는 유전자알고리즘과 Welder-Mead의 심플렉스기법을 사용한 하이브리드 최적화 유한요소모델개선기법을 제안하였다. 하이브리드 최적화 기법의 성능을 검증하기 위해 3개의 국부최소값과 1개의 전체최소값을 갖는 Goldstein-Price 함수를 사용하여 비선형문제에 대한 적용성을 검토하였다. 또한 최적화목적함수의 영향을 검토하기 위해 10개의 자유도를 갖는 스프링-질량 모델을 사용하여 변수연구를 수행하였다. 최종적으로 수치해석을 통해서 질량과 강성을 동시에 개선하기 위한 최적화 목적함수를 제시하고, 제안된 하이브리드 최적화 기법이 유한요소모델개선을 위해 매우 효과적인 방법임을 입증하였다.

Data Envelopment Analysis-Assurance Region(DEA-AR) model is used in this paper to investigate the efficiency and performance potential of Korean banks as they engage in activities that incur interest and non-interest expenses and produce income. DEA provides a measure of each bank's relation to the best-practice frontier for its competitors. This can provide a better quality-benchmark than using industry averages or a particular peer bank branches as the benchmark. The banks are classified into efficient and inefficient sets. Multiplier values for AR-inefficient banks with unique slacks indicate the potential for management to improve the bank's performance relative to its peers. DEA-AR that provide economically reasonable bounds for the multipliers lead to profitability potential, as distinct from efficiency, results.