• Journal of the Korean Wood Science and Technology
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• 제52권2호
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• pp.175-190
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• 2024

The increase in atmospheric carbon dioxide concentrations is known to be closely associated with climate change and global warming. In this sense, considering that facilities for appropriate education and experience on wood, which is a carbon pool, have been required, this study targets the Wood Cultural Experience Centers, which are in current operation, examines and evaluates their operation status and policy changes, and ultimately derives a successful positioning plan. To this end, it conducts a survey, and the results are as follows. First, as a result of the similarity analysis (KYST: Kruskal-Young-Shepard-Torgerson program) with facilities with leisure activities and educational functions, the Wood Cultural Experience Center have competition with natural recreation forests in terms of naturalness, and it has competition with the career experience center and youth training center in terms of experiential observation. Second, the result of positioning analysis of the attribute space map indicates that the Wood Cultural Experience Center is positively perceived in terms of such attributes as naturalness, experiential learning or recreation, and preservation of natural environment, but is negatively recognized in terms of accessibility, escape from daily life, and things to see.

• 과학교육연구지
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• 제42권3호
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• pp.273-292
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• 2018

강의는 주된 수업 형태이며, 학생들의 가장 일반적인 활동은 청취이다. 따라서 학생들을 교육하기 위하여 청취유형을 분석한다면 효율적이고 긍정적인 변화가 기대된다. 뿐만 아니라 학습자 중심의 교육이 강조됨에 따라 학습자의 특성이 중요해지고, 자기 주도적 학습을 위해 학생들의 학습전략의 가치는 높아진다. 따라서 이 연구에서는 5, 7, 10학년 학생들을 대상으로 설문 조사를 통해 얻은 데이터를 통계 분석하여 청취유형과 학습전략에 따라 과학 성취도에 차이가 있는지를 조사하였다. 본 연구의 결과는 다음과 같다. 첫째, 학생들의 청취유형과 학습전략이 성별 간에 큰 차이를 보인다. 둘째, 학생들의 청취유형과 학습전략은 학년별로 큰 차이를 보인다. 셋째, 청취유형 중 과제 중심 및 비판적 유형의 수준은 과학 성취도에 의미있는 영향을 미친다. 넷째, 청취유형, 학습전략 및 과학 성취도는 서로 유의미한 상관관계를 지닌다. 마지막으로 학습전략과 과학 성취의 측면에서 볼 때 기본적이고 복합인지 전략이 과학 성취와 양의 상관관계를 가진다.

• IEIE Transactions on Smart Processing and Computing
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• 제3권4호
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• pp.234-239
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• 2014

This paper presents an empirical study on selecting a small amount of useful unlabeled data to improve the classification accuracy of semi-supervised learning algorithms. In particular, a hybrid method of unifying the simply recycled selection method and the incrementally-reinforced selection method was considered and evaluated empirically. The experimental results, which were obtained from well-known benchmark data sets using semi-supervised support vector machines, demonstrated that the hybrid method works better than the traditional ones in terms of the classification accuracy.

• International Journal of Control, Automation, and Systems
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• 제6권2호
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• pp.194-203
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• 2008

Iterative learning control (ILC) is a simple and effective method for the control of systems that perform the same task repetitively. ILC algorithm uses the repetitiveness of the task to track the desired trajectory. In this paper, we propose a PID (proportional plus integral and derivative) type ILC update law for control discrete-time single input single-output (SISO) linear time-invariant (LTI) systems, performing repetitive tasks. In this approach, the input of controlled system in current cycle is modified by applying the PID strategy on the error achieved between the system output and the desired trajectory in a last previous iteration. The convergence of the presented scheme is analyzed and its convergence condition is obtained in terms of the PID coefficients. An optimal design method is proposed to determine the PID coefficients. It is also shown that under some given conditions, this optimal iterative learning controller can guarantee the monotonic convergence. An illustrative example is given to demonstrate the effectiveness of the proposed technique.

• 대한한의학원전학회지
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• 제35권1호
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• pp.93-102
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• 2022

Objectives : We propose a method for constructing a thesaurus of Traditional East Asian Medicine terminology using machine learning. Methods : We presented a method of combining the 'Automatic Step' which uses machine learning and the 'Manual Step' which is the operator's review process. By applying this method to the sample data, we constructed a simple thesaurus and examined the results. Results : Out of the 17,874 sample data, a thesaurus was constructed targeting 749 terminologies. 200 candidate groups were derived in the automatic step, from which 79 synonym groups were derived in the manual step. Conclusions : The proposed method in this study will likely save resources required in constructing a thesaurus.

• ETRI Journal
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• 제46권3호
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• pp.379-391
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• 2024

To meet increasing traffic requirements in mobile networks, small base stations (SBSs) are densely deployed, overlapping existing network architecture and increasing system capacity. However, densely deployed SBSs increase energy consumption and interference. Although these problems already exist because of densely deployed SBSs, even more SBSs are needed to meet increasing traffic demands. Hence, base station (BS) switching operations have been used to minimize energy consumption while guaranteeing quality-of-service (QoS) for users. In this study, to optimize energy efficiency, we propose the use of deep reinforcement learning (DRL) to create a BS switching operation strategy with a traffic prediction model. First, a federated long short-term memory (LSTM) model is introduced to predict user traffic demands from user trajectory information. Next, the DRL-based BS switching operation scheme determines the switching operations for the SBSs using the predicted traffic demand. Experimental results confirm that the proposed scheme outperforms existing approaches in terms of energy efficiency, signal-to-interference noise ratio, handover metrics, and prediction performance.

• Journal of Information Processing Systems
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• 제5권2호
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• pp.105-116
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• 2009

To solve the general problems surrounding the application of genetic algorithms in stereo matching, two measures are proposed. Firstly, the strategy of simplified population-based incremental learning (PBIL) is adopted to reduce the problems with memory consumption and search inefficiency, and a scheme for controlling the distance of neighbors for disparity smoothness is inserted to obtain a wide-area consistency of disparities. In addition, an alternative version of the proposed algorithm, without the use of a probability vector, is also presented for simpler set-ups. Secondly, programmable graphics-hardware (GPU) consists of multiple multi-processors and has a powerful parallelism which can perform operations in parallel at low cost. Therefore, in order to decrease the running time further, a model of the proposed algorithm, which can be run on programmable graphics-hardware (GPU), is presented for the first time. The algorithms are implemented on the CPU as well as on the GPU and are evaluated by experiments. The experimental results show that the proposed algorithm offers better performance than traditional BMA methods with a deliberate relaxation and its modified version in terms of both running speed and stability. The comparison of computation times for the algorithm both on the GPU and the CPU shows that the former has more speed-up than the latter, the bigger the image size is.

• 예술인문사회 융합 멀티미디어 논문지
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• 제5권2호
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• pp.183-190
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• 2015

본 연구에서는 기억 책략을 사용하여도 이에 따른 이득을 볼 수 없는 현상, 즉 책략 사용이 증가하는 만큼 회상량이 증가하지 않는 이용결여 현상을 훈련 상황이 아닌 자연스런 상황에서 알아보고자 하였다. 초등학교 5학년 학생을 대상으로 5회기 동안 단어쌍 기억 과제에서의 정교화 책략을 연구하였다. 연구 결과, 회기가 진행되면서 정교화 책략 사용량에는 증가를 보였지만 회상량은 회기에 따른 유의미한 증가가 나타나지 않아 이용결여 현상이 나타났다. 이용결여 현상은 아동이 효율적인 책략 사용의 단계로 발달해 가는데 필요한 적응적 과정임을 시사한다.

• 디지털산업정보학회논문지
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• 제13권3호
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• pp.105-113
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• 2017

Considered as the "new normal" mode of learning, BL has become popular in recent years especially in University education. BL is defined as a learning approach that combines e-learning and face-to-face classroom learning. BL allows for more interactive and reflective learning environment resulting in enhancing learner-directed learning. The adoption of BL in university has made it significant to probe the crucial determinants that would entice instructors and learners to use BL and enhance learning satisfaction. The primary purpose of this study is to investigate the affecting factors of the satisfaction of BL in universities in terms of leaner's aspects. Learner's role is very important in BL, because learner should self-directed study for effective performance and satisfaction in BL environment. Based on prior studies motivation, self-efficacy, and educational expectancy were identified as affecting factors of satisfaction in BL. According to the result of multiple regression, all factors(motivation, self-efficacy, and educational expectancy) were found to be significantly related to the learner's satisfaction in BL. It can provide practical guideline on effective operation strategy for BL in universities.

• 한국초등과학교육학회지:초등과학교육
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• 제26권3호
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• pp.286-294
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• 2007

This study investigated the relationship between elementary school students' creative problem solving skills in terms of science and cognitive strategies. Creative problem solving in science was measured by 4 variables; appropriateness, scientific ability, concreteness, and originality. Cognitive strategies were measured by 6 variables; surface(rehearsal), deep(elaboration and organization), and metacognitive strategies(planning, monitoring, and regulating). The KEDI Creative Problems Solving Test in Science(Cho et al., 1997) and the Motivated Strategies for Learning Questionnaire(Pintrich & DeGroot, 1990) were administered to 72 subjects. Data were analyzed by means of Pearson's correlation and multiple regression analysis. Our findings indicated a positive correlation between creative problem solving in science and cognitive strategies. The surface cognitive strategy (rehearsal) positively predicted the total score, the scientific ability's score, the concrete score, and the original score of creative problem solving in science. The deep cognitive strategy(organization) positively predicted the appropriate score and the metacognitive strategy(planning) positively predicted the original score of scientific creative problem solving skills.