• 제어로봇시스템학회논문지
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• 제10권6호
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• pp.537-544
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• 2004

An effective methodology is reported for determining the optimal lot size of batch processing and storage networks which include uncertain demand forecasting. We assume that any given storage unit can store one material type which can be purchased from suppliers, internally produced, infernally consumed, transported to or from other sites and/or sold to customers. We further assume that a storage unit is connected to all processing and transportation stages that consume/produce or move the material to which that storage unit is dedicated. Each processing stage transforms a set of feedstock materials or intermediates into a set of products with constant conversion factors. A batch transportation process can transfer one material or multiple materials at once between sites. The objective for optimization is to minimize the probability averaged total cost composed of raw material procurement, processing setup, transportation setup and inventory holding costs as well as the capital costs of processing stages and storage units. A novel production and inventory analysis formulation, the PSW(Periodic Square Wave) model, provides useful expressions for the upper/lower bounds and average level of the storage inventory. The expressions for the Kuhn-Tucker conditions of the optimization problem can be reduced to two sub-problems. The first yields analytical solutions for determining lot sires while the second is a separable concave minimization network flow subproblem whose solution yields the average material flow rates through the networks for the given demand forecast scenario. The result of this study will contribute to the optimal design and operation of the global supply chain.

• 제어로봇시스템학회논문지
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• 제18권12호
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• pp.1106-1114
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• 2012

To achieve synchronized motion between a wearable robot and a human user, the redundancy must be resolved in the same manner by both systems. According to the seven DOF (Degrees of Freedom) human arm model composed of the shoulder, elbow, and wrist joints, positioning and orientating the wrist in space is a task requiring only six DOFs. Due to this redundancy, a given task can be completed by multiple arm configurations, and thus there exists no unique mathematical solution to the inverse kinematics. This paper presents analysis on the kinematic and dynamic aspect of the human arm movement and their effect on the redundancy resolution of the human arm based on a seven DOF manipulator model. The redundancy of the arm is expressed mathematically by defining the swivel angle. The final form of swivel angle can be represented as a linear combination of two different swivel angles achieved by optimizing different cost functions based on kinematic and dynamic criteria. The kinematic criterion is to maximize the projection of the longest principal axis of the manipulability ellipsoid for the human arm on the vector connecting the wrist and the virtual target on the head region. The dynamic criterion is to minimize the mechanical work done in the joint space for each two consecutive points along the task space trajectory. As a first step, the redundancy based on the kinematic criterion will be thoroughly studied based on the motion capture data analysis. Experimental results indicate that by using the proposed redundancy resolution criterion in the kinematic level, error between the predicted and the actual swivel angle acquired from the motor control system is less than five degrees.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권1호
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• pp.21-40
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• 2018

In this paper, we propose the distributed robust beamforming design scheme in cognitive two-way amplify-and-forward (AF) relay networks with imperfect channel state information (CSI). Assuming the CSI errors follow a complex Gaussian distribution, the objective of this paper is to design the robust beamformer which minimizes the total transmit power of the collaborative relays. This design will guarantee the outage probability of signal-to-interference-plus-noise ratio (SINR) beyond a target level at each secondary user (SU), and satisfies the outage probability of interference generated on the primary user (PU) above the predetermined maximum tolerable interference power. Due to the multiple CSI uncertainties in the two-way transmission, the probabilistic constrained optimization problem is intractable and difficult to obtain a closed-form solution. To deal with this, we reformulate the problem to the standard form through a series of matrix transformations. We then accomplish the problem by using the probabilistic approach based on two sorts of Bernstein-type inequalities and the worst-case approach based on S-Procedure. The simulation results indicate that the robust beamforming designs based on the probabilistic method and the worst-case method are both robust to the CSI errors. Meanwhile, the probabilistic method can provide higher feasibility rate and consumes less power.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권3호
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• pp.1168-1188
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• 2018

Social Network Aggregators are used to maintain and manage manifold accounts over multiple online social networks. Displaying the Activity feed for each social network on a common dashboard has been the status quo of social aggregators for long, however retrieving the desired data from various social networks is a major concern. A user inputs the query desiring the specific outcome from the social networks. Since the intention of the query is solely known by user, therefore the output of the query may not be as per user's expectation unless the system considers 'user-centric' factors. Moreover, the quality of solution depends on these user-centric factors, the user inclination and the nature of the network as well. Thus, there is a need for a system that understands the user's intent serving structured objects. Further, choosing the best execution and optimal ranking functions is also a high priority concern. The current work finds motivation from the above requirements and thus proposes the design of a query processing system to retrieve information from social network that extracts user's intent from various social networks. For further improvements in the research the machine learning techniques are incorporated such as Latent Dirichlet Algorithm (LDA) and Ranking Algorithm to improve the query results and fetch the information using data mining techniques.The proposed framework uniquely contributes a user-centric query retrieval model based on natural language and it is worth mentioning that the proposed framework is efficient when compared on temporal metrics. The proposed Query Processing System to Retrieve Information from Social Network (QPSSN) will increase the discoverability of the user, helps the businesses to collaboratively execute promotions, determine new networks and people. It is an innovative approach to investigate the new aspects of social network. The proposed model offers a significant breakthrough scoring up to precision and recall respectively.

• 응용통계연구
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• 제21권3호
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• pp.399-411
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• 2008

현대 사회에서는 조직의 운영 및 의사 결정을 위하여 다양한 통계 조사가 실시되고 있으며, 연구의 목적에 따라 조사 문항을 다르게 하여 실시하고 있다. 현재 경상남도의 경우 3년 주기로 매년 설문 문항을 다르게 하여 사회 지표 조사를 실시하고 있어 유기적인 분석이 가능하지 못한 실정이다. 이에 본 장에서는 데이터 퓨전을 이용하여 다양한 통계 조사 자료를 결합하여 고부가적인 자료를 생성하고자 한다. 데이터 퓨전을 통해서 얻은 최종 결과에 대한 추가된 정보를 이용함으로써 통계 분석의 질을 향상시킬 수 있는 방법이므로, 데이터 퓨전에 의해서 얻어진 정보를 효율적으로 분석하는 것 또한 중요하다. 이에 본 논문에서는 통계 조사 자료에 대하여 데이터 퓨전을 실시하고, 데이터 퓨전에 의해 생성된 자료에 대하여 하이브리드 데이터마이닝 기법인 잠재변수를 이용한 신경망 분석을 적용하는 방안에 대하여 연구하고자 한다.

• Mass Spectrometry Letters
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• 제3권3호
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• pp.82-85
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• 2012

The formation of zinc finger peptide-$Zn^{2+}$ complexes in electrospray ionization mass spectrometry (ESI-MS) was examined using three different metal ion sources: $ZnCl_2$, $Zn(CH_3COO)_2$, and $Zn(OOC(CHOH)_2COO)$. For the four zinc finger peptides (Sp1-1, Sp1-3, CF2II-4, and CF2II-6) that bind only a single $Zn^{2+}$ in the native condition, electrospray of apo-zinc finger in solution containing $ZnCl_2$ or $Zn(CH_3COO)_2$ resulted in the formation of zinc finger-$Zn^{2+}$ complexes with multiple zinc ions. This result suggests the formation of nonspecific zinc finger-$Zn^{2+}$ complexes. Zn(tartrate), $Zn(OOC(CHOH)_2COO)$, mainly produced specific zinc finger-$Zn^{2+}$ complexes with a single zinc ion. This study clearly indicates that tartrate is an excellent counter ion in ESI-MS studies of zinc finger-$Zn^{2+}$ complexes, which prevents the formation of nonspecific zinc finger-$Zn^{2+}$ complexes.

• 전자공학회논문지
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• 제50권9호
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• pp.156-163
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• 2013

본 논문은 송신신호와 다층의 해수층 및 해저지층으로 구성된 매질의 퇴적물의 배치 및 형태에 의해 반사된 수신 신호를 이용하여 매질 각층의 특성을 계산 할 수 있는 알고리즘을 제안한다. 제안된 알고리즘은 이종의 다층 매질로 구성되어 있는 해수층 및 해저지층의 구조 특성을 추정하는 것으로, 일반적으로 Schur 알고리즘이라 부른다. 제안된 알고리즘은 주어진 역산란(inverse scattering) 문제를 matrix factorization을 수행하여 효율적으로 매질의 반사계수(reflection coefficient)를 추정한다. 본 논문에서는 제안된 알고리즘의 성능을 분석하기 위하여 해수층 및 해저지층의 이종 다층 매질 구조를 고려한 lattice 필터모델을 구성하였고, 이 필터 모델로부터 얻어진 송신 및 반사 신호를 이용하여 다양한 컴퓨터 모의실험을 수행한 결과, 제안된 알고리즘이 효율적으로 매질을 추정함을 확인하였다.

• 한국지반공학회논문집
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• 제21권6호
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• pp.93-100
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• 2005

수압파쇄시 다중으로 분할된 균열의 생성은 자주 발생되는 현상이며 이러한 균열군은 단균열과는 달리 상당히 다른 거동을 나타낸다. 그러나 대부분의 수치기법으로는 이러한 균열군 거동의 모사는 계산량의 증가로 결코 쉽지 않다. 따라서 본 논문에서는 수압파쇄시 생성되는 다수의 균열 변위를 경계병치법을 사용하여 효과적으로 계산하기 위한 방법을 제시하였다. 우선 평행하면서 아주 가깝게 위치한 다중 분할 균열의 점근적 해를 구하고 경계병치법의 균열에 사용된 병치점의 수를 변화시켜 점근적 해와 비교하였다. 그 결과 기존의 기준에 비해 병치점의 수를 10배정도 줄이더라도 얻어지는 결과에는 별 차이가 없음을 밝혀냈다. 따라서 이보다 더욱 복잡한 균열이 존재하는 실제의 경우 병치점의 수를 줄여 적용하여도 경계병치법에 의한 계산은 유효하다는 결론을 얻었다.

• Steel and Composite Structures
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• 제26권1호
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• pp.79-87
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• 2018

In order to study the natural vibration characteristics of steel-concrete composite truss beam (SCCTB), the influence of multiple factors such as interface slip, shear deformation and moment of inertia are considered. Afterwards, based on the Hamilton principle the vibration control differential equation and natural boundary conditions of SCCTB are deduced. By solving SCCTB differential equations of vibration control, an analytical calculation method is proposed for analyzing the natural vibration characteristics of SCCTB. The natural frequencies of SCCTBs with different degrees of shear connection and effective lengths are calculated by using the analytical method, and the results are compared against those obtained from ANSYS finite element numerical calculation method. The results show that the analytical method considering the influence factors such as interface slip, shear deformation and moment of inertia are in good agreement with those obtained from ANSYS finite element numerical calculation method. This evidences the correctness of the analytical method and show that the method proposed exhibits improvement over the previously developed theories for the natural vibration characteristics of SCCTB. Finally, based on the analytical method, the influence factors of SCCTB natural vibration characteristics are analyzed. The results indicate that the influence of interface slip stiffness on SCCTB's natural frequency is more than 10% and therefore cannot be neglected. Moreover, shear deformation has an effect of more than 35% on SCCTB's natural frequency and the effect cannot be ignored either in this case too.

• Asian Pacific Journal of Cancer Prevention
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• 제17권4호
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• pp.2329-2336
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• 2016

Background: Despite the existence of established guidelines advocating the use and value of chemotherapy order templates, chemotherapy orders are still handwritten in many hospitals in Lebanon. This manuscript describes the implementation of standardized chemotherapy order templates (COT) in a Lebanese tertiary teaching hospital through multiple steps. Initial Assessment: An initial assessment was conducted through a retrospective appraisal of completeness of handwritten chemotherapy orders for 100 adult patients to serve as a baseline for the project and identify parameters that might afford improvement. Choice of solution: Development of over 300 standardized pre-printed COTs based on the National Comprehensive Cancer Network templates and adapted to the practice culture and patient population. Implementation: The COTs were implemented, using Kotter's 8-step model for leading change, by engaging health care providers, and identifying and removing barriers. Evaluation: Assessment of physicians' compliance with the new practice (122 orders assessed) was completed through two phases and allowed for the identification of areas of improvement. Lessons Learned: Overall, COT implementation showed an average improvement in order completion from 49.5% (handwritten orders) to 77.6% (phase 1-COT) to 87.6% (phase 2-COT) reflecting an increase of 38.1% between baseline and phase 2 and demonstrating that chemotherapy orders completeness was improved by pre-printed COT. As many of the hospitals in Lebanon are moving towards standardized COTs and computerized physician order entry (CPOE) in the next few years, this study provides a prototype for the successful implementation of COT and demonstrates their role in promoting quality improvement of cancer care.