• 한국토양비료학회지
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• 제43권5호
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• pp.584-589
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• 2010

경남지역 단감 재배지 31개소의 토양 미량성분 변화를 조사하여 기초자료로 활용하고 농가현장에서 pH 분석 값을 적용하여 석회소요량을 신속하게 산출할 수 있는 계산식을 구하였다. 가용성 미량성분 함량의 변화는 4월이 표토에서 Fe 76.5 mg $kg^{-1}$, Mn 46.1 mg $kg^{-1}$, Zn 16.9 mg $kg^{-1}$ 이었고 심토는 Fe 55.5 mg $kg^{-1}$, Mn 35.9 mg $kg^{-1}$, Zn 12.3 mg $kg^{-1}$으로 가장 높았으며 Mn 함량은 4월 이후 지속적으로 감소되었다. 표토의 pH가 높아짐에 따라 Fe 함량은 y=-18.8x+162(r=0.374, $p{\leq}0.001$), Mn 함량은 y=-11.5x+98 (r=0.407, $p{\leq}0.001$)의 고도로 유의적인 부의상관을 나타냈다. 단위면적당 석회소요량 (kg $10a^{-1}$)은 표토의 pH와 y=-171x+1,148 (r=0.881, $p{\leq}0.001$), 심토의 pH는 y=-190x+1,247(r=0.855, $p{\leq}0.001$)의 고도로 유의적인 부의상관을 보였다. 따라서 이러한 산술식을 이용할 경우 농가현장에서 석회소요량을 신속하게 산출하여 토양개량제를 시용할 수 있으며 pH로 인한 양분 불균형을 해소할 수 있을 것으로 기대된다.

• 한국강구조학회 논문집
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• 제15권2호
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• pp.197-206
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• 2003

본 논문에서는 유전자 알고리즘을 이용한 비선형 탄성 최적설계 방법을 제시하였다. 제안한 비선형 탄성해석은 종래 설계의 단점 즉 탄성해석 후 비선형 효과를 고려하기 위하여 $B_1$, $B_2$ 계수를 사용하는 불합리성을 극복하였다. 유전자 알고리즘은 다윈(Darwin)의 적자생존의 개념을 기본으로 선택, 교배 및 돌연변이라는 세 가지 연산을 수행함으로써 최적설계에 필요한 설계변수 즉 부재 단면을 형성하여, 제약조건을 모두 만족하는 최소 구조물 중량을 제공하는 설계변수를 선택하면서 최적설계를 수행하였다. 목적함수로는 구조물의 총중량을 사용하였으며, 제약조건식으로는 하중저항능력, 사용성 및 연성도를 사용도를 사용하여 최적설계를 수행하였다. 2차원 강뼈대 구조물, 3차원 강뼈대 구조물, 그리고 3차원 강아치교의 설계예제를 수행하였다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1997년도 한국자동제어학술회의논문집; 한국전력공사 서울연수원; 17-18 Oct. 1997
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• pp.844-847
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• 1997

In this paper, scheduling problem is dealt for the minimization of due date penalty for the customer order. Multiproduct batch processes have been dealt with for their suitability for high value added low volume products. Their scheduling problems take minimization of process operation for objective function, which is not enough to meet the customer satisfaction and the process efficiency simultaneously because of increasing requirement of fast adaptation for rapid changing market condition. So new target function has been suggested by other researches to meet two goals. Penalty function minimization is one of them. To present more precisely production scheduling, we develop new scheduling model with penalty function of earliness and tardiness We can find many real cases that penalty parameters are divergent by the difference between the completion time of operation and due date. That is to say, the penalty parameter values for the product change by the customer demand condition. If the order charges different value for due date, we can solve it with the due date period. The period means the time scope where penalty parameter value is 0. If we make use of the due date period, the optimal sequence of our model is not always same with that of fixed due date point. And if every product have due date period, due date of them are overlapped which needs optimization for the maximum profit and minimum penalty. Due date period extension can be enlarged to makespan minimization if every product has the same abundant due date period and same penalty parameter. We solve this new scheduling model by simulated annealing method. We also develop the program, which can calculate the optimal sequence and display the Gantt chart showing the unit progress and time allocation only with processing data.

• KSBB Journal
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• 제13권5호
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• pp.502-510
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• 1998

Stabilization of antibody, which is specific to Salmonella typhimurium antigens, present in dry states on membranes was accomplished, and its shelf-life, i.e., duration for maintaining minimum 90% of the initial activity, under optimal conditions was determined. To prepare two major components of an immuno-strip, the antibody was not only immobilized on nitrocellulose membrane surfaces but also placed within the pores of glass fiber membrane after conjugating it with old colloids as signal generator. Among potential stabilizers of the immuno-components, a disaccharide, trehalose, showed a significant protection effect of immunoglobulin structure from thermal energy. Optimal concentrations of trehalose for the respective component were significantly different (8-fold higher for the antibody-gold conjugate than for the immobilized antibody), which probably resulted from distinct densities and configurations of antibody present on the membranes. An additional requirement for the gold conjugate was freeze-drying of this substance such that the conjugate can be readily resolubilized upon contact with aqueous medium. By using the components prepared under optimal conditions, immuno-strips were constructed and exposed to thermal energy. Signals with less than 10% decrease in the intensity were maintained for approximately 21 days at 60$^{\circ}C$. Compared to previous reports, this result represented a 2-year shelf-life at room temperature. it was, however, two times longer if determined from thermal acceleration tests based on the theory of inactivation rate of protein. Such discrepancy between the two estimates could be mainly attributed to errors in accurately controlling temperatures and also to changes in the physical properties of membranes due to a high thermal energy.

• 한국정보통신학회논문지
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• 제17권2호
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• pp.287-293
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• 2013

인지무선통신(Cognitive radio, CR)은 사용하지 않는 대역을 동적으로 활용할 수 있는 통신 방식이다. 여기서 CR 사용자는 주사용자와 동일한 스펙트럼을 공유하면서 주사용자에 대한 간섭을 최대한 배제해야한다. 일반적으로 각 CR 사용자는 자신이 속한 지역을 센싱하는 것으로 스펙트럼 사용 가능 여부를 판단한다. 하지만 CR 사용자가 다중 경로 페이딩이나 섀도잉와 같은 불확실한 무선 환경에 있을 경우 신호를 정확하게 감지하지 못할 확률이 높아진다. 이때 협력 센싱 기법을 활용할 경우 이러한 무선환경을 극복할 수 있게 된다. 본 연구에서는 협력 센싱 판정을 위해 연판정 기법을 활용할 때 주어진 시스템 요구치를 만족하면서 detection 확률을 향상시킬 수 있는 협력 노드 선택 알고리즘을 제안하였다. 여기서 SNR이 상대적으로 높은 협력 노드에 가중치를 주는 maximum ratio combining(MRC) 방식으로 최적의 협력 노드를 찾았다. 실험 결과, 제안한 알고리즘으로 시스템 요구치에 부합하는 최적의 센싱 노드를 선택할 수 있었다.

• 한국콘텐츠학회논문지
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• 제17권3호
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• pp.589-595
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• 2017

본 논문에서는 다양한 이동통신 서비스의 원활한 데이터 전송을 위한 적정 채널 용량의 산정 방법을 제시한다. 서비스 유형별 패킷 전송에 대한 허용 지연시간 기준을 모두 충족하기 위해서는 적정한 채널용량이 확보되어야 한다. 이러한 채널 산정 과정을 분석하기 위해 디지털 통신시스템의 이산시간 운영특성과 패킷 기반 트래픽의 집단 발생 상황을 $Geo^x$/G/1 비선점형 우선순위 대기행렬로 모델링하였다. 휴리스틱한 평균 대기시간 분석 방법을 이용하여 다양한 전송 우선순위를 갖는 서비스 유형별 평균 대기시간을 도출하였다. 이를 이용하여 무선 서비스 지연에 관한 품질 척도(QoS)를 충족시키는 적정 채널 용량의 산정 과정을 제시하였다. 본 연구 결과인 적정 채널 용량 산정 방법은 이동통신 데이터 서비스의 품질 만족도를 높이고 네트워크의 경제적 운용에 도움이 될 것으로 기대한다.

• 한국농공학회지
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• 제45권5호
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• pp.97-109
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• 2003

This study is mainly conducted to derive the design drought rainfall by the consecutive duration using probability weighted moments with rainfall in the regional drought frequency analysis. It is anticipated to suggest optimal design drought rainfall of hydraulic structures for the water requirement and drought frequency of occurrence for the safety of water utilization through this study. Preferentially, this study was conducted to derive the optimal regionalization of the precipitation data that can be classified by the climatologically and geographically homogeneous regions all over the regions except Cheju and Ulreung islands in Korea. Five homogeneous regions in view of topographical and climatological aspects were accomplished by K-means clustering method. Using the L-moment ratio diagram and Kolmogorov-Smirnov test, generalized extreme value distribution was confirmed as the best fitting one among applied distributions. At-site and regional parameters of the generalized extreme value distribution were estimated by the method of L-moments. Design drought rainfalls using L-moments following the consecutive duration were derived by the at-site and regional analysis using the observed and simulated data resulted from Monte Carlo techniques. Relative root-mean-square error (RRMSE), relative bias (RBIAS) and relative reduction (RR) in RRMSE for the design drought rainfall derived by at-site and regional analysis in the observed an simulated data were computed and compared. In has shown that the regional frequency analysis procedure can substantially more reduce the RRMSE. RBIAS and RR in RRMSE than those of at-site analysis in the prediction of design drought rainfall. Consequently, optimal design drought rainfalls following the regions and consecutive durations were derived by the regional frequency analysis.

• 대한안전경영과학회지
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• 제10권3호
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• pp.89-98
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• 2008

A preventive maintenance model, caller FNBM($\alpha$, $\delta$, $\gamma$)model, is proposed to decide an optimal repair number under achieved availability requirements(r) along with taking two types of failures (repairable or irrepairable) into account. In this model, the current system is replaced by a new one in case when it doesn't meet the achieved availability requirement, even though it is repairable failure; Otherwise it is replaced in time of the first irrepairable failure. Assumed that the j-th failure is repairable with probability ${\alpha}_j$ minimal repairs are allowed for repairable failure between replacements. Expected cost rate for preventive maintenance model is developed using NHPP(Non-Homogeneous Poisson Process) in order to determine the optimal number $n^*$, also numerical examples are shown in order to explain the proposed model. Since the proposed FNBM($\alpha$, $\delta$, $\gamma$)model includes Park FNBM model(1979) and Nakagawa FNBM(p)model(1983) this proposed model is thought to be better than previous model, especially for weapon system which requires availability as primary parameter.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권12호
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• pp.4835-4855
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• 2015

TV white space (TVWS) is showing promise to become the first widespread practical application of cognitive technology. In fact, regulators worldwide are beginning to allow access to the TV band for secondary users, on the provision that they access the geolocation database. Device-to-device (D2D) can improve the spectrum efficiency, but large-scale D2D communications that underlie TVWS may generate undesirable interference to TV receivers and cause severe mutual interference. In this paper, we use an established geolocation database to investigate the power allocation problem, in order to maximize the total sum throughput of D2D links in TVWS while guaranteeing the quality-of-service (QoS) requirement for both D2D links and TV receivers. Firstly, we formulate an optimization problem based on the system model, which is nonconvex and intractable. Secondly, we use an effective approach to convert the original problem into a series of convex problems and we solve these problems using interior point methods that have polynomial computational complexity. Additionally, we propose an iterative algorithm based on the barrier method to locate the optimal solution. Simulation results show that the proposed algorithm has strong performance with high approximation accuracy for both small and large dimensional problems, and it is superior to both the active set algorithm and genetic algorithm.

• Journal of Computing Science and Engineering
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• 제12권1호
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• pp.24-35
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• 2018

Deep convolutional neural network (DCNN) is an advanced technology in image recognition. Because of extreme computing resource requirements, DCNN implementation with software alone cannot achieve real-time requirement. Therefore, the need to implement DCNN accelerator hardware is increasing. In this paper, we present a field programmable gate array (FPGA)-based hardware accelerator design of DCNN targeting handwritten Hangul character recognition application. Also, we present design optimization techniques in SDAccel environments for searching the optimal FPGA design space. The techniques we used include memory access optimization and computing unit parallelism, and data conversion. We achieved about 11.19 ms recognition time per character with Xilinx FPGA accelerator. Our design optimization was performed with Xilinx HLS and SDAccel environment targeting Kintex XCKU115 FPGA from Xilinx. Our design outperforms CPU in terms of energy efficiency (the number of samples per unit energy) by 5.88 times, and GPGPU in terms of energy efficiency by 5 times. We expect the research results will be an alternative to GPGPU solution for real-time applications, especially in data centers or server farms where energy consumption is a critical problem.