• 한국농공학회논문집
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• 제60권2호
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• pp.111-119
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• 2018

The purpose of this study is to analyze the changes of rural development policies in the last 20 years by analyzing the budget distribution by policy objectives and support factors. 1997, 2000, 2005, 2010 and 2015 Guidelines of Agricultural, Food and Rural Development Project were analyzed to identify the budget distribution. The objectives of rural development policy were classified into 5 fields and 27 detailed factors such as production environment, distribution environment, technology and human resources, living environment, income support. The support factors of rural development policy were classified into 3 fields and 17 detailed factors. The budget of rural development policy has greatly increased from 952,297 million won in 1997 to 4,869,174 million won in 2010 and 3,905,340 million won in 2015. In budget distribution by policy objectives, the policy was mainly focused on management funding in 1997, 2000 and in the 2000s, it was confirmed that investment in the improvement of the living environment was rapidly taking place. In budget distribution by policy support factors, it was found that living environment and welfare environment support factor in rural area occupied the largest portion and welfare, tourism, and living environment has been rapidly increasing since 2005.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제11권9호
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• pp.4357-4378
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• 2017

In cooperative multi-relay networks, the relay nodes which are selected are very important to the system performance. How to choose the best cooperative relay nodes is an optimization problem. In this paper, multi-relay selection schemes which consider either single objective or multi-objective are proposed based on evolutionary algorithms. Firstly, the single objective optimization problems of multi-relay selection considering signal to noise ratio (SNR) or power efficiency maximization are solved based on the quantum bee colony optimization (QBCO). Then the multi-objective optimization problems of multi-relay selection considering SNR maximization and power consumption minimization (two contradictive objectives) or SNR maximization and power efficiency maximization (also two contradictive objectives) are solved based on non-dominated sorting quantum bee colony optimization (NSQBCO), which can obtain the Pareto front solutions considering two contradictive objectives simultaneously. Simulation results show that QBCO based multi-relay selection schemes have the ability to search global optimal solution compared with other multi-relay selection schemes in literature, while NSQBCO based multi-relay selection schemes can obtain the same Pareto front solutions as exhaustive search when the number of relays is not very large. When the number of relays is very large, exhaustive search cannot be used due to complexity but NSQBCO based multi-relay selection schemes can still be used to solve the problems. All simulation results demonstrate the effectiveness of the proposed schemes.

• 한국과학교육학회지
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• 제15권3호
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• pp.325-331
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• 1995

The purpose of this study is to analyze learning objectives of biology contents in SATIS 14-16. Modified the 5th NAEP three dimentional science assessment framework was used to analyze learning objectives of SATIS 14-16. This study will be a basic data for the development of STS programs in KOREA. The following results were obtained. 1. In a content dimension, 'structures and functions of organism'(63.9%) was the most frequently found, followed by 'the nature and our Iives'(22.1%), 'a continuity of Iife'(9.4%) and 'our surrounding Iives'(4.7%). 2. In a cognitive dimension, an understanding of scientific knowledge(32.7%) was the most frequently found, followed by an improvement of inquiry ability(25.6%), attitude(24.7%), and scientific knowledge and its application(17.0%). 3. In a context dimension, a personal context(32.8%) was the most frequently found, followed by a social context(27.3%), a scientific context(20.0%) and a technological context(20.0%). 4. There were some differences in behavior when each content was compared. In 'surrounding lives' and 'a continuity of life', an understanding of scientific knowledge was the most frequently found. In 'structures and functions of organism' and 'the nature and our lives', proportions of four behavioral catagories were relatively even. 5. There were some differences in context when each content was compared. In 'surrounding lives', scientific context was the most frequently found, whereas in 'structures and functions of lives', individual context was found the most frequently. In 'a continuity of life', scientific and social context were found more frequently than others. In 'the nature and our lives', social context was the most frequent one.

• Journal of information and communication convergence engineering
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• 제20권1호
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• pp.22-30
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• 2022

The reinforcement learning algorithm has proven its potential in solving sequential decision-making problems under uncertainties, such as finding paths to route data packets in wireless sensor networks. With reinforcement learning, the computation of the optimum path requires careful definition of the so-called reward function, which is defined as a linear function that aggregates multiple objective functions into a single objective to compute a numerical value (reward) to be maximized. In a typical defined linear reward function, the multiple objectives to be optimized are integrated in the form of a weighted sum with fixed weighting factors for all learning agents. This study proposes a reinforcement learning -based routing protocol for wireless sensor network, where different learning agents prioritize different objective goals by assigning weighting factors to the aggregated objectives of the reward function. We assign appropriate weighting factors to the objectives in the reward function of a sensor node according to its hop-count distance to the sink node. We expect this approach to enhance the effectiveness of multi-objective reinforcement learning for wireless sensor networks with a balanced trade-off among competing parameters. Furthermore, we propose SDN (Software Defined Networks) architecture with multiple controllers for constant network monitoring to allow learning agents to adapt according to the dynamics of the network conditions. Simulation results show that our proposed scheme enhances the performance of wireless sensor network under varied conditions, such as the node density and traffic intensity, with a good trade-off among competing performance metrics.

• 한국도서관정보학회지
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• 제47권1호
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• pp.199-216
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• 2016

본 논문은 의학분야 논문가운데 구조적 초록만을 선별하여 소표제들을 분석함으로서 문헌정보학 관점에서 의학분야의 논문초록양식에 소표제의 의미를 논의하였다. 다양한 의학분야 가운데 암, 윤리, 유전학, 감염성 질환, 신경과, 소아과, 면역학, 정신의학 및 심장학의 9개 세부분야를 선택하였고, PubMed 데이터베이스에서 샘플 데이터로 출판된 논문초록 정보를 추출하였다. 이러한 데이터는 최근 초록인 2010년부터 2015까지 5년 동안 출판된 초록들로 제한하였다. 연구는 추출된 샘플들의 양상과 구조적 형식에서 사용된 소표제들의 변종과 변종의 빈도 수 등을 분석하였다. 요약한 연구결과는 다음과 같다. 1) 대다수의 세부 의학분야에서 출판되는 논문들은 구조적 초록이 아닌 비구조화 초록을 주로 사용하고 있다는 것이 드러났다. 2) 의학분야의 논문에서는 소표제 항목을 평균적으로 4.1을 사용하는 것으로 나타났다. 3) 일반적으로 가장 자주 사용되는 부제는 OBJECTIVES(목적), METHODS(방법), RESULTS(결과), CONCLUSIONS(결론)이였다. 특히 이 연구에서 제기된 문제점들과 보고된 소표제 분석결과가 의료과학 저널 편집자와 의학 및 문헌정보학자들에게 유용한 정보가 될 것이다.

• 과학교육연구지
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• 제42권2호
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• pp.198-213
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• 2018

최근 들어 학생 평가 방법에서 서술형 평가의 중요성이 매우 강조되고 왔다. 본 연구는 학교현장에서 출제해 온 서술형 평가문항의 실태와 원인을 분석하고자 하였다. 이를 위해 경남 지역의 중학교 7개 학교에서 1학년부터 3학년까지의 정기고사에 출제된 서술형 문항 300개를 수집하여 문항 유형과 단원별 문항 분포를 분석하고, 문항에 관련된 성취기준의 교육목표와 평가목표를 Bloom의 신 교육목표분류에 따라 분석하여 비교였다. 연구 결과, 대부분의 교사들이 공통된 단원에서 서술형 문항을 출제하는 경향을 보이며, 단원 및 성취기준별로 출제 빈도에 큰 차이를 보였다. 문항 유형으로는 서술형이 65%에 불과하였으며 나머지는 단답형이나 완성형 문항으로 구성되었다. 또한 성취기준에서의 교육목표와 문항에서의 평가목표 사이에 일치하는 비율이 40.3%에 불과하였다. 서술형 문항의 출제교사 27명을 면담한 결과, 서술형 문항의 개발 능력 부족과 채점에서의 어려움이 올바른 서술형 평가의 주요 장애 요인인 것으로 나타났다. 따라서 평가에 대한 체계적 연수를 통해 서술형 평가의 문제점들을 해결할 필요가 있다.

• 한국초등과학교육학회지:초등과학교육
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• 제39권2호
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• pp.155-167
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• 2020

This study analyzed reference data for the physics section in science guidebooks for the third-sixth grade in elementary schools, according to the 2015 revised curriculum. It analyzed the reference data by categorizing them in terms of subjects, objectives and presentation forms and the visual data used in the reference data by categorizing their types. The findings show that the ratio of the science knowledge type was highest (53.8%) among the subjects of reference data in guidebooks for the science section, followed by the application to real life, and then, supplementary inquiry experiments and activities. The ratios of other types such as advanced science, environment, scientists and science history were, however, less than 1%, so they need to be improved. The ratio of knowledge provision was highest (40.5%) among the objectives of reference data but the ratios of conceptual supplementation and deepening were similar in ratio. Meanwhile, While the expository type (88.4%) accounted for most of the present forms of reference data, and photographs and illustrations (93.6%) also accounted for most of visual data suggested with reference data. Thus more various types of presentation forms and the extension of visual data seemed to be needed. This study is expected to provide some suggestions for the meaningful use of reference data in guidebooks for teachers and for the development of science guidebooks for teachers in elementary schools.

• International Journal of Control, Automation, and Systems
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• 제5권4호
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• pp.444-455
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• 2007

An approach to construct multiple interpretable and precise fuzzy systems based on the Pareto Multi-objective Cooperative Coevolutionary Algorithm (PMOCCA) is proposed in this paper. First, a modified fuzzy clustering algorithm is used to construct antecedents of fuzzy system, and consequents are identified separately to reduce computational burden. Then, the PMOCCA and the interpretability-driven simplification techniques are executed to optimize the initial fuzzy system with three objectives: the precision performance, the number of fuzzy rules and the number of fuzzy sets; thus both the precision and the interpretability of the fuzzy systems are improved. In order to select the best individuals from each species, we generalize the NSGA-II algorithm from one species to multi-species, and propose a new non-dominated sorting technique and collaboration mechanism for cooperative coevolutionary algorithm. Finally, the proposed approach is applied to two benchmark problems, and the results show its validity.

• 한국교육논총
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• 제38권1호
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• pp.29-39
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• 2017

본 연구는 2009 개정 과학과 교육과정에 근거한 중학교 과학 교과서의 산염기 및 산화 환원 단원의 문항을 블룸의 교육목표 분류틀을 이용하여 분석한 것이다. 분석 결과 모든 출판사의 교과서 문항에서는 지식 영역의 요소가 가장 많이 나타났으며, 이해, 적용, 분석, 종합, 평가 순으로 그 요소는 적게 나타났다. 그리고 출판사에 따라 각 문항에 나타난 인지 영역의 하위 영역이 골고루 포함되지 않았다. 그래서 학교에서는 다양한 출판사의 교과서 단원평가 문항을 참조하여 수업에 이용할 필요가 있다.

• 성인간호학회지
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• 제23권5호
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• pp.503-513
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• 2011

Purpose: The purpose of this study was to identify a model based on f the learning objectives in adult health nursing curriculums. The model can be eventually reflected in Korean National Nurse's Licensing Examination (KNNLE). Methods: The model was developed through a series of practical analysis by the task force team from June to October, 2011. The research team conducted the data synthesis and analysis from the learning objectives of adult health nursing drawn from selected national and international universities, from the adult health nursing areas in KNNLE, and from the current disease prevalence from clinical data in the representative university hospitals in Korea. Results: The current disease prevalence and mortality rates are on the increase especially for malignant neoplasm, heart diseases, suicide and diabetes. The items on the KNNLE of adult nursing are categorized by body systems into digestive system (15%), introduction (13.8%), respiratory system (11.3%), and cardiac system (11.3%). While the current system-based learning objectives covers extensive areas of adult health nursing, the core items are required to be selected based on core competences and core learning objectives to restructure the items of KNNLE. The first revised model is to consolidate and restructure the items microscopically in the subjects of adult health nursing by system. The second proposed model from macroscopic perspective is to build a comprehensive scheme of nursing curriculum by encompassing 8 subjects under current KNNLE and adjust the number of items accordingly. Conclusion: The items of KNNLE need to be gradually redesigned by considering the intervention need at clinical practice and the modified learning objectives of adult health nursing. Based on the job analysis on core competences for newly employed nurses performed by the Korean Accreditation Board of Nursing, it is necessary to establish the core learning objectives of adult health nursing and set up standards for core items in KNNLE.