• 한국융합학회논문지
• /
• 제8권3호
• /
• pp.123-131
• /
• 2017

본 연구는 간호학생의 약물용량계산에서의 취약점을 찾기 위해 학생들의 자기기입식 일반적 사항과 약물계산수업 전 자신감(이하, 자신감), 수업수행도(이하, 수행도) 및 약물용량계산 시험지를 SPSS 19.0 으로 분석하였다. 본 연구결과 약물계산능력을 나타내는 서술식 두 문제의 평균 정답률은 72%였고, 단순계산능력은 성별 간 차이가 없었으나 응용계산능력과 계산정확도는 남학생이 유의하게 높았고, 고등학교계열별 계산능력에는 차이가 없었다. 자신감과 수행도 및 수행도와 계산정확도 간 양의 상관관계가 있었고, 자신감의 수행도에 대한, 수행도의 계산정확도에 대한 설명력은 각각 4.2%와 3.2%였다. 1개 대학 간호학생 대상의 본 연구결과를 일반화할 수는 없으나, 반복적이고 지속적인 수학학습으로 수행도를 높이고 약물계산에 대한 자신감을 향상시킴으로써 계산정확도를 높여 투약오류예방을 위한 중재프로그램 개발 및 적용의 필요성을 제언한다.

• Journal of Power Electronics
• /
• 제19권1호
• /
• pp.119-133
• /
• 2019

Although the dual modulation wave method can solve the low-frequency neutral point potential (NPP) fluctuation problem for three-level neutral point clamped converters, it also increases the switching frequency and limits the zero-sequence voltage. That makes it harmful when dealing with the NPP drift problem if the converter suffers from a long dead time or asymmetric loads. By introducing two degrees of freedom (2-DOF), an NPP control based on a search optimization method can demonstrate its ability to cope with the above mentioned two types of NPP problems. However, the amount of calculations for obtaining an optimal 2-DOF is so large that the method cannot be applied to certain industrial applications with an inexpensive digital signal processor. In this paper, a novel optimal 2-DOF-based NPP control is proposed. The relationships between the NPP and the 2-DOF are analyzed and a method for directly determining the optimal 2-DOF is also discussed. Using a direct calculation method, the amount of calculations is significantly reduced. In addition, the proposed method is able to maintain the strongest control ability for the two types of NPP problems. Finally, some experimental results are given to confirm the validity and feasibility of the proposed method.

• 한국학교수학회논문집
• /
• 제10권4호
• /
• pp.471-485
• /
• 2007

본 연구는 초등학교 4-가 단계 이전의 교육과정 중에서 연산과 관련된 내용을 추출하여 27차시 분량의 혼합계산에 대한 처방 프로그램을 개발 및 적용한 후, 학습자의 사고와 행동 특성, 교사가 느끼는 긍정적인 점과 어려운 점을 분석하였다. 연구를 위해 4학년 한 학급 학생들을 대상으로 수업을 한 결과, 첫째, 혼합계산에 대한 처방 프로그램은 학생들의 혼합계산 문제 해결 능력의 향상을 가져오며, 둘째, 혼합계산에 대한 처방 프로그램을 적용하는 것을 통해서 학생들이 보다 더 문제에 집중함을 알 수 있었다. 이상과 같은 결과를 토대로 혼합계산에 대한 처방 프로그램을 개발 및 적용하는 것은 학생들의 혼합계산 문제 해결 능력을 발달시키고 문제에 집중하는 힘을 길러준다는 결론을 내릴 수 있었다.

• 대한전기학회:학술대회논문집
• /
• 대한전기학회 1996년도 하계학술대회 논문집 B
• /
• pp.734-736
• /
• 1996

This paper presents a method of calculating a selective number of eigenvalues in power systems, which are rightmost, or are largest modulus. The modified Arnoldi method in conjunction with implicit shift OR-algorithm is used to calculate the rightmost eigenvalues. Algorithm requires neither a prior knowledge of the specified shifts nor the calculation of inverse matrix. The key advantage of the algorithm is its ability to converge to the wanted eigenvalues at once. The method is compared with the modified Arnoldi method combined with S-matrix transformation, where the eigenvalues having the largest modulus are to be determined. The two methods are applied to the reduced Kansai system. Convergence characteristics and performances are compared. Results show that both methods are robust and has good convergence properties. However, the implicit shift OR method is seen to be faster than the S-matrix method under the same condition.

• Steel and Composite Structures
• /
• 제46권3호
• /
• pp.435-449
• /
• 2023

Time domain method and frequency domain method are commonly used in the current fatigue life calculation theory. The time domain method has complicated procedures and needs a large amount of calculation, while the frequency domain method has poor applicability to different materials and different spectrum, and improper selection of spectrum model will lead to large errors. Considering that artificial neural network has strong ability of nonlinear mapping and generalization, this paper applied this technique to random fatigue life prediction, and the effect of average stress was taken into account, thereby achieving more accurate prediction result of random fatigue life.

• 정보교육학회논문지
• /
• 제5권2호
• /
• pp.185-196
• /
• 2001

초등학생들은 수식보다 문장으로 나타낸 문제를 더 어려워한다. 이것은 수학적인 계산 기능보다도 문제표상에 요인이 있는 것으로 생각할 수 있다. 수학 문장제 표상능력을 높이기 위해서는 문제의 요구를 정확히 이해하는 것이 요구된다. 이를 위해서는 멀티미디어 자료와 의사소통을 필요로 하는데, 웹은 멀티미디어 구현과 상호작용적 의사소통을 촉진할 수 있기 때문에 수학 문장제 표상학습을 위한 최적의 환경을 제공한다. 따라서 본 논문에서는 수학 문장제 표상능력 향상을 위한 웹 기반 시스템을 설계하여 초등학교 6학년을 대상으로 실험적으로 적용하였다.

• 한국정밀공학회:학술대회논문집
• /
• 한국정밀공학회 2002년도 춘계학술대회 논문집
• /
• pp.86-89
• /
• 2002

In NC machining, the ability to automatically generate an optimal process plan is an essential step toward achieving automation, higher productivity, and better accuracy. For this ability, a system that is capable of simulating the actual machining process has to be designed. In this paper, a milling process simulation system for the general NC machining was presented. The system needs first to accurately compute the cutting configuration. ME Z-map(Moving Edge node Z-map) was developed to reduce the entry/exit angle calculation error in cutting force prediction. It was shorn to drastically improve the conventional Z-map model. Experimental results applied to the pocket machining show the accuracy of the milling process simulation system.

• 전자공학회논문지B
• /
• 제32B권12호
• /
• pp.1652-1662
• /
• 1995

In this paper, a hybrid neural network is proposed to improve the learning ability of a neural network. The union of the characteristics of a Self-Organizing Neural Network model and of multi-layer perceptron model using the backpropagation learning method gives us the advantage of reduction of the learning error and the learning time. In learning process, the proposed hybrid neural network reduces the number of nodes in hidden layers to reduce the calculation time. And this proposed neural network uses the fuzzy feedback values, when it updates the responding region of each node in the hidden layer. To show the effectiveness of this proposed hybrid neural network, the boolean function(XOR, 3Bit Parity) and the solution of inverse kinematics are used. Finally, this proposed hybrid neural network is applied to the visual tracking control of a PUMA560 robot, and the result data is presented.

• 대한전기학회:학술대회논문집
• /
• 대한전기학회 2003년도 하계학술대회 논문집 A
• /
• pp.366-368
• /
• 2003

In this paper, a parametric evaluation method of protection ability is proposed. The adequacy of every parameter is evaluated for the setting rules. Then the results are combined to give protection level of a whole protective system. The setting rules are categorized into three groups for hierarchical calculation. The proposed scheme is applied to a location problem of a new protective device to show its effectiveness.

• 제어로봇시스템학회:학술대회논문집
• /
• 제어로봇시스템학회 2001년도 ICCAS
• /
• pp.164.1-164
• /
• 2001

Q-learning is a recent reinforcement learning algorithm that does not need a modeling of environment and it is a suitable approach to learn behaviors for autonomous agents. But when it is applied to multi-agent learning with many I/O states, it is usually too complex and slow. To overcome this problem in the multi-agent learning system, we propose the successive Q-learning algorithm. Successive Q-learning algorithm divides state-action pairs, which agents can have, into several Q-functions, so it can reduce complexity and calculation amounts. This algorithm is suitable for multi-agent learning in a dynamically changing environment. The proposed successive Q-learning algorithm is applied to the prey-predator problem with the one-prey and two-predators, and its effectiveness is verified from the efficient avoidance ability of the prey agent.