Quantum-inspired Genetic Algorithm (QGA) is a probabilistic search optimization method combined quantum computation and genetic algorithm. In QGA, the chromosomes are encoded by qubits and are updated by quantum rotation gates, which can achieve a genetic search. Asset-based weapon target assignment (WTA) problem can be described as an optimization problem in which the defenders assign the weapons to hostile targets in order to maximize the value of a group of surviving assets threatened by the targets. It has already been proven that the WTA problem is NP-complete. In this study, we propose a QGA and a hybrid-QGA to solve an asset-based WTA problem. In the proposed QGA, a set of probabilistic superposition of qubits are coded and collapsed into a target number. Q-gate updating strategy is also used for search guidance. The hybrid-QGA is generated by incorporating both the random search capability of QGA and the evolution capability of genetic algorithm (GA). To observe the performance of each algorithm, we construct three synthetic WTA problems and check how each algorithm works on them. Simulation results show that all of the algorithm have good quality of solutions. Since the difference among mean resulting value is within 2%, we run the nonparametric pairwise Wilcoxon rank sum test for testing the equality of the means among the results. The Wilcoxon test reveals that GA has better quality than the others. In contrast, the simulation results indicate that hybrid-QGA and QGA is much faster than GA for the production of the same number of generations.

최근 로봇기술과 인공지능의 급속한 발전과 사물인터넷, 빅데이터, 모 바일 등 정보통신기술의 접목은 제4차 산업혁명의 원동력으로 작용하고 새로운 정보사회의 도래를 촉진하고 있다. 스스로 사고하고 행동하는 로 봇의 등장은 사회의 여러 분야에 커다란 영향을 미치고 있으며, 법학에 도 중요한 영향을 미치고 있다. 로봇기술의 질적 혁신이 가지는 양가적 인 측면에 따라 이를 규율하기 위한 법제도 도입을 필요로 하게 된다. 그리고 소비자는 로봇의 사용자로서 로봇에 관한 법제에서 핵심적인 주 체이기 때문에 소비자 관점을 반영한 법제적 대응이 필요할 것이다. 이에 따라, 본 논문은 소비자관점을 반영하여 로봇과 로봇기술의 발전 에 따른 사회적 영향, 로봇에 관한 규제의 필요성, 로봇규제에 따른 법적 쟁점을 다루고자 한다. 이런 목적을 위해 본 논문에선 미국, EU, 일본의 로봇관련 법제도 현황을 조사하고 각 국의 법제적 대응 흐름을 파악한 다. 또한, 이를 통해 로봇이 활용되는 분야 및 규제와 관련한 주요한 법 적 쟁점을 인식하고 우리 법제상 시사점과 현재 논의되고 있는 “로봇기 본법안”의 검토를 위한 밑거름으로 삼는다. 첫 번째 장에서는 로봇의 개념과 로봇규제의 쟁점을 다룬다. 로봇의 개념정의에 대한 다양한 관점을 다루고 로봇의 사회적 영향과 규제의 필 요성, 로봇 규제에 있어서 중요한 법적 쟁점을 조사·분석한다. 두 번째 장에서는 로봇관련 국내외 법제적 대응 동향을 다룬다. 미국, 일본, 유럽 연합의 로봇관련 법제의 현황과 대응 추세를 조사·분석한다. 특히 유럽 의회가 최근 채택한 로봇에 관한 결의안의 주요 내용을 고찰하여, 향후 유럽연합의 로봇관련 법제의 지향점을 찾아보고자 한다. 세 번째 장에서 는 현재 국회에서 발의되어 있는 “로봇기본법안”의 주요 내용을 정리하 고 소비자 관련 쟁점을 분석·검토한다. 분석 대상은 ‘로봇의 개념’, ‘로 봇윤리규범과 소비자’, ‘로봇등록제도와 로봇이용자 보호’, ‘로봇에 따라 발생한 손해의 배상 문제’이다. 이 중 로봇에 따라 발생한 손해의 배상문 제는 소비자보호의 핵심쟁점으로서 법안의 내용 및 체계정합성 검토와 함께 로봇의 결함이 없이 발생한 손해의 전보문제도 논의한다. 마지막으로는 로봇법제의 첫 걸음으로서 로봇기본법안의 의미를 살펴 보고 로봇기본법안의 문제점 검토의 의미를 정리한다.

최근 한국 사회는 반려견을 키우는 인구가 빠르게 증가하고 있다. 한국 사회의 주거환경 특성상 소형 견종을 반려하는 가정이 많은데, 시츄, 말티즈, 푸들 등이 이에 해당한다. 이들 견종은 흐르는 눈물 과다로 인한 문제를 겪는 대표적인 견종이다. 이를 개선하기 위하여 현재 시중에는 이미 다양한 제품이 나와 있으나 그중 몇 가지 제품에서 타일로신이 발견되어 논란이 되었다. 타일로신은 설사 위장장애 등의 부작용을 야기하여 수의사의 처방이 필요한 항생제이다. 이 때문에 한약재(Compound A, Compound B)을 활용하여 부작용이 없는 안전한 보조제를 개발하고자 한다. 실험에 참여하는 반려견의 몸무게에 비례하여 2주간 보조제를 복용하고 눈물검사키트를 사용하여 전과 후를 비교하고 육안으로 확인되는 변화를 관찰한다. 실험 결과 전체적으로 흐르는 눈물의 양이 감소하였고, 부가적으로 발견한 효과로 눈물양이 부족하거나 과다한 반려견의 눈물양이 정상화된 것을 발견할 수 있었다.

Purpose: The purpose of this study was to examine the impact of a problem-based simulation education program on nursing student’s academic achievement, academic efficacy, and clinical performance skills. Methods: This study examined a group of nursing students using the pretest-posttest test design. Second year pediatric nursing students studying the practical subject Integrated Simulation at S University in K region were asked to complete a self-administered questionnaire before and after using a problem-based simulation education program. In addition to using SPSS/WIN 21.0 for descriptive analysis, the data was analyzed using independent t-test, repeated measures ANOVA and Pearson- correlation. Results: After completing the simulation education program, participants showed statistically higher academic achievement (t = -5.795, p < .001) and clinical performance skills (t = -3.835, p = <.001) than before. However, there was no significant difference in academic efficacy score(t=-.217, p=.829). Conclusion: The results from this study indicate that lessons with various methods and content should be developed to –evaluate both theoretical knowledge and clinical performance skills. In addition, there is a need to develop a standard evaluation.

In the painting process of automotive factory, color changeover cost is incurred every time the color of vehicle is changed. To solve this problem, automotive company usually uses storage space such as Selectivity Banks(SB) or Car Rescheduling Storage and carries out sequence planning so that vehicles of the same color are consecutive, which is called Car Resequencing Problem (CRP). So far, research works for CRP has focused on algorithms finding optimal or approximated optimal solutions under the condition that the number of vehicles is fixed in SB. However, these results cannot be directly applied to the actual automotive paint shops since they have continuous flows of cars into SB to be handled in a day. Therefore, in this paper, we propose an efficient cyclic scheduling method that starts the painting process using the result of Accelerated Dynamic Programming (ADP) and then reapplies the ADP to the vehicles in SB for renewing the painting schedule whenever a certain number of vehicles is painted, represented as a threshold. To show the effectiveness of the proposed method, we performed a numerical experiment by designing system configurations, based onthe actual vehicle painting process, and proposed a good threshold that can reduce overall color changeover cost.

This research focuses on a scheduling problem in the semiconductor probing facility. Probing facility is composed of identical parallel machines and the parallel machines form three workstations for the tests with different recipes. Each machine can be set to three different tests and sequence-dependent setup times are required between operations due to temperature and probe card loading/unloading. Precedence relationship exists between three tests of each wafer lot. The scheduling problem for the probing facility is a parallel machine scheduling problem with precedence relationship and sequence dependent setup time. We develop heuristic algorithm to minimize makespan for the scheduling problem and numerical experiments are conducted to evaluate the performance.

As a non-parametric data mining method, decision tree classification has performed well in many applications. The complexity of the model increases as the decision tree algorithm proceeds to grow the decision tree as the rule of decision making. While the increase of the complexity enhances the accuracy, it degrades the generalization which predicts the unseen data. This phenomenon is called as overfitting. To avoid the overfitting, pruning has been introduced. Pruning enables to make the generalization better, reduces the complexity, and avoids the overfitting. Although various pruning methods have been proposed, selecting the best pruning methods or making balance between complexity and generalization with pruning is not a simple problem. In this paper, we explore the methods of pruning and analyze them to suggest the optimal approach for applications.

차량-궤도 구조물 동적 상호작용해석은 차량의 접촉점이 보요소로 모형화된 레일 위를 일정한 속도로 주행하는 미끄러지 는 접촉문제로 취급하였다. 하지만 Euler 보와 같은 고차 다항식의 형상함수가 적용된 유한요소를 사용할 경우 미끄러지는 접촉문제에서 적합조건을 만족하지 못한다. 이 연구에서는 유한요소해석프로그램이 미끄러지는 접촉문제에서의 적합조건을 만족시키지 못하는 것에 대한 해결법으로 주행로를 이루는 보요소를 보다 세분화하여 동적상호작용해석에서의 정확성을 확 보하고자 하였다. 이를 위해 간단한 예제들을 통해 주행로를 이루는 보요소의 세분화 정도에 따른 동적상호작용해석의 거동 을 분석하였으며, 해석 프로그램의 동적상호작용해석에의 적용성을 평가하였다. 마지막으로 사각을 갖는 철도 암거 접속부 의 뒷채움재 설치 형식에 따른 차량주행시의 거동을 평가하기 위하여 동적상호작용해석을 수행하고, 접속부 뒷채움재 형식 의 변경에 따른 지지강성의 변화에 의한 영향과 노반침하에 따른 궤도틀림의 영향을 비교분석하였다.

Cyst nematodes are well known to cause serious yield losses in many important crops producing in Korea such assoybeans and Chinese cabbage. Recently, a new cyst nematode Heterodera trifolii has been recorded in the highland vegetablesgrowing area occurring severe yield losses. As a newly recorded pest, the severity of the nematode is still not clear tomost of the farmers. Identification of this nematode is another big issue as the nematode existed in the field with Heteroderaschachtii. Recent reports revealed that the pest is steadily spreading within the highland areas and has a huge possibilityto spread over Korea. Therefore, it is the high time to set a monitoring or warning systems and test more feasible managementstrategies to prevent the dispersal of this nematode.

Purpose: The purpose of this study was to investigate the effect of simulation training using video debriefing on the self-efficacy, problem solving ability, and learning satisfaction of nursing students. Method: The study design was control group pre-and post-test non-synchronized experimental design. The sample included two teams of 138 nursing students. The experimental group provided feedback after the simulation was run, and then the team was debriefed through the video recorded video in the debriefing room, and the control group performed the oral debriefing. This study was conducted from November 10, 2015 to December 10, 2015, using descriptive statistics, χ²-test and t-test. Results: The scores of the self-efficacy, problem- solving process performance, and learning satisfaction were higher than those of the group who received the video debriefing (experimental group) than those who received the oral debriefing training (control group). Conclusion: It has been found that debriefing using video in the simulation training has a positive effect on self-efficacy, ability to perform problem solving process and improvement of learning satisfaction, so it can be utilized as an effective teaching and learning strategy and also helps strengthen nursing capacity.

본고의 목적은 북한 핵문제 해결의 단서를 모색하기 위하여 북한 핵 문제를 맥락적으로 이해하려는 것이다. 다양한 시도가 무산된 상황에서 북한 핵 문제를 백지 상태에서 가늠해 보자는 것이다. 북한 핵문제는 북한 내부의 전개과 정과 밀접하면서 동시에 국제정치적 함의 변화와 관련된다. 북한 핵문제가 체제 생존의 노력으로부터 파생되어 학습 효과에 의해 진화한 프로젝트일 가능 성이 크다는 것이다. 소련의 영향으로 발아된 북한 핵문제가 ‘자위의 원칙’과 결합되면서 중·소 분쟁 등 국제정치적 상황에 의해 진화되었다. 냉전체제 붕 괴와 탈냉전기의 도래는 획기적인 변화를 가져왔다. 북한 안보환경의 악화와 더불어 9·11 테러 이후 소위 ‘악의 축’이 보유하고 있는 대량파괴무기와 테러 집단의 연결 가능성은 북한 핵문제를 세계안보 차원으로 확대시켰다. 그러므로 북한 핵문제는 체제생존, 냉전체제의 붕괴, 탈냉전기 안보함의의 변화라는 맥락 속에서 다양한 가능성을 전제하고 지속적인 수렴 과정을 통해 해결의 영역을 확보해야 한다.

Distributed genetic algorithm (DGA), also known as island model or coarse-grained model, is a kind of parallel genetic algorithm, in which a population is partitioned into several sub-populations and each of them evolves with its own genetic operators to maintain diversity of individuals. It is known that DGA is superior to conventional genetic algorithm with a single population in terms of solution quality and computation time. Several researches have been conducted to evaluate effects of parameters on GAs, but there is no research work yet that deals with structure of DGA. In this study, we tried to evaluate performance of various genetic algorithms (GAs) for the famous symmetric traveling salesman problems. The considered GAs include a conventional serial GA (SGA) with IGX (Improved Greedy Crossover) and several DGAs with various combinations of crossover operators such as OX (Order Crossover), DPX (Distance Preserving Crossover), GX (Greedy Crossover), and IGX. Two distinct immigration policies, conventional noncompetitive policy and newly proposed competitive policy are also considered. To compare performance of GAs clearly, a series of analysis of variance (ANOVA) is conducted for several scenarios. The experimental results and ANOVAs show that DGAs outperform SGA in terms of computation time, while the solution quality is statistically the same. The most effective crossover operators are revealed as IGX and DPX, especially IGX is outstanding to improve solution quality regardless of type of GAs. In the perspective of immigration policy, the proposed competitive policy is slightly superior to the conventional policy when the problem size is large.

Supply chain is usually represented by a network (which is called supply chain network) that contains some nodes. In a supply chain network these nodes are suppliers, plants, distribution centers and customers which are some facilities connected by some arcs to each other. The arcs connect the nodes in the direction of their production flow, meaning that each arc shows a route between the facilities for transporting the products. A multi-stage supply chain network (MSCN) is defined as a sequence of multiple supply chain network stages. This paper addresses a typical supply chain network problem which is based on a two-stage single-product system under uncertain conditions such that both cost and constraint parameters are interval numbers. The combination of these uncertain parameters are considered in this typical problem for the first time. In this case, two different order relations (the order relations UC ≤ and HW ≤ ) for interval numbers are considered. Then, two solution procedures are developed in order relations for the interval two-stage supply chain network design problem. The efficiency of the proposed method is illustrated by a numerical example where it is proved that the relation HW ≤ shows better performance than the relation UC ≤ .

The purpose of this study is to explore the nature of pre-service language teachers’ reflection for problem solving, focusing on facets of problem solving. For this purpose, this study collected and analyzed twenty pre-service English teachers’ ninety-four entries of reflection guided by semi-structured guidelines for problem solving: pre-reflective, reflective thinking, and post-reflective. For the analysis of the data, this study adopted constant comparative analysis to identify and categorize features in the data from the perspective of qualitative approach. This study found three dimensions of problem solving and three or four segments under each dimension. Dimensions represent the possible procedural steps of problem solving: ‘problem-determination’, ‘problem-analysis’, and ‘solution’. In terms of cognitive purposes, four possible segments emerged: ‘description’, ‘elaboration’, ‘justification’, and ‘evaluation’. In contrast, concerning perspectives on viewing problems, this study identified three segments: ‘thou-view’, ‘i-view’, and ‘alternative-view’. The variation in the employment of the dimensions and segments was found to represent diverse patterns of problem solving in pre-service language teacher reflection. The findings of this study suggest some implications for pre-service language teacher education.

Unlike most researches that focus on single manufacturer or single buyer, this research studies the cooperation policy for two participants of supply chain such as single vendor and single buyer. Especially, this paper deals with single vendor-single buyer integrated-production inventory problem. If the buyer orders products, then the vendor will start to make products and then the products will be shipped from the vendor to the buyer many times. The buyer is supposed to order again when the buyer’s inventory level hits reorder point during the last shipment and this cycle keeps repeated. The buyer uses continuous review inventory policy and customer’s demand is assumed to be probabilistic. The contribution of this paper is to present a mixed approach and derive its cost function. The existing policy assumes that the size of shipping batch from single vendor to single buyer is increasing, called Type 1, or constant, called Type 2. In mixed approach, the size of shipping batch is increasing at the beginning part of the cycle, and then its size is constant at the ending part of the cycle. The number of shipping for Type 1 and Type 2 in a cycle in mixed approach is determined to minimize total cost. The relationship between parameters, for example, the holding cost per product, the set up cost per order, and the shortage cost per item and decision variables such as order quantity, safety factor, the number of shipments, and shipment increasing factor is figured out via sensitivity analysis. Finally, it is statistically proved that the mixed approach is superior to the existing approaches.

This paper considers one vendor-one buyer integrated-production inventory problem. If the buyer orders products, then the vendor will start to make products and then the products will be shipped from the vendor to the buyer many times. The buyer is supposed to order again when the buyer’s inventory level hits reorder point during the last shipment and this cycle keeps repeated. Buyer uses continuous review inventory policy and customer’s demand is assumed to be probabilistic. The contribution of this paper is to develop a new approach for one-vendor-one-buyer integrated production-inventory problem.