• 한국융합학회논문지
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• 제12권9호
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• pp.193-204
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• 2021

본 연구는 볼링 지도자의 리더십 행동유형에 따른 고등부 볼링선수들의 성취목표성향과 운동소진에 미치는 영향을 알아보기 위해 고등부 볼링선수 172명을 대상으로 설문을 실시하였다. 수집된 자료의 분석은 기술통계, 신뢰도분석, 독립 t-test, 1-way ANOVA, 상관관계분석, 다중회귀분석을 실시하였다. 첫째, 리더십행동(권위적, 민주적, 사회적지지, 긍정적 피드백)에서 여자선수보다 남자선수가 더 높게 인식하고 있었으며, 자기목표성향에서 여자선수보다 남자선수가 더 높은 것으로 나타났다. 운동소진은 여자선수가 더 많이 느끼는 것으로 나타났으며, 학년이 높을수록 높은 것으로 나타났다. 둘째, 사회적지지 행동과 훈련지시행동이 성취목표성향에 정적인 영향을 주는 것으로 나타났다. 셋째, 권위적행동이 운동소진에 정적인 영향을 주는 것으로 나타났으며, 훈련지시행동은 운동소진 하위요인 중 무가치감에 부적인 영향을 주는 것으로 나타났다. 이에 지도자는 사회적지지 및 훈련지시 리더십행동으로 선수의 성취목표를 높이고 운동소진을 낮춰 훈련집중을 통한 경기력 향상을 기대할 수 있을 것으로 사료된다.

• Genomics & Informatics
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• 제15권1호
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• pp.19-27
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• 2017

Understanding complex relationships among heterogeneous biological data is one of the fundamental goals in biology. In most cases, diverse biological data are stored in relational databases, such as MySQL and Oracle, which store data in multiple tables and then infer relationships by multiple-join statements. Recently, a new type of database, called the graph-based database, was developed to natively represent various kinds of complex relationships, and it is widely used among computer science communities and IT industries. Here, we demonstrate the feasibility of using a graph-based database for complex biological relationships by comparing the performance between MySQL and Neo4j, one of the most widely used graph databases. We collected various biological data (protein-protein interaction, drug-target, gene-disease, etc.) from several existing sources, removed duplicate and redundant data, and finally constructed a graph database containing 114,550 nodes and 82,674,321 relationships. When we tested the query execution performance of MySQL versus Neo4j, we found that Neo4j outperformed MySQL in all cases. While Neo4j exhibited a very fast response for various queries, MySQL exhibited latent or unfinished responses for complex queries with multiple-join statements. These results show that using graph-based databases, such as Neo4j, is an efficient way to store complex biological relationships. Moreover, querying a graph database in diverse ways has the potential to reveal novel relationships among heterogeneous biological data.

• 한국생활과학회지
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• 제5권2호
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• pp.1-16
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• 1996

This study has examined multiple influences of several variables on parenting behavior by looking into illustrative studies. This study provides support to the view that various factors influence parenting and that parenting behavior is multiply determined. Characteristics of parents, children and the context in which parent-child relations occur cause different childrearing patterns among parents. This study can be summarized as follows: 1) Parental behavior is influenced to a large degree by what the parent brings to the situation. In other words, characteristics of the parent including personality characteristics, interpersonal skills, problem-solving skills, level of maturity, values and childrearing beliefs contribute to individual differences in parenting. 2) The parent's relationship history influences the personality characteristics that the parent brings to his or her adult roles. To understand who the parent is today, we have to look at who the parent was, and what the parent was doing in the years prior to parenthood. That is, we need to see the life course of the individual before parenthood. 3) Contextual variables including the immediate context and the larger context have proved to influence parental behaviors. Characteristics of the immediate context such as the quality of marital rationship can influence the parent's psychological well-being and his or her behavior toward the childen while characteristics of the larger context such as the economic situation and the neighborhood can influence the level of stress experienced by the parent and cosequently how the parent relates to his or her child. 4) In order to understand the development of the parent-child relationship we need to look at the characteristics of the child. Children may elicit positive behaviors from their parents, or they may possess characteristics that the parents find aversive thus leading to difficulties in the relationship. Therefore, much depends on the fit beween the characteristics of the parents and characteristics of the child. By examining multiple contemporaneous influences on parenting, this study could deepen the understanding of why parents have different childrearing patterns, why some parents fail to meet their children's demands and why parents act in certain ways. What we ultimately hope is that as we learn more about parenting and the development of parent-child relationships, we will be better able to provide parents with the supports they need to achieve their parenting goals.

• 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.

• 국제학술발표논문집
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• The 2th International Conference on Construction Engineering and Project Management
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• pp.642-652
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• 2007

Many contracting firms and project managers in the construction industry have started to utilize multi objective optimization methods to handle multiple conflicting goals for completing the project within the stipulated time and budget with required quality and safety. These optimization methods have increased the pressure on decision makers to search for an optimal resources utilization plan that optimizes simultaneously the total project cost, completion time, and crashing cost by considering indirect cost, contractual penalty cost etc., practically charging them in terms of direct cost of the project which is fuzzy in nature. This paper presents a multiple fuzzy goal programming model (MFGP) that supports decision makers in performing the challenging task. The model incorporates the fuzziness which stems from the imprecise aspiration levels attained by the decision maker to these objectives that are quantified through fuzzy linear membership function. The membership values of these objectives are then maximized which forms the fuzzy decision. The problem is solved using LINGO 8 optimization solver and the best compromise solution is identified. Comparison between solutions of MFGP, fuzzy multi objective linear programming (FMOLP) and multiple goal programming (MGP) are also presented. Additionally, an interactive decision making process is developed to enable the decision maker to interact with the system in modifying the fuzzy data and model parameters until a satisfactory solution is obtained. A case study is considered to demonstrate the feasibility of the proposed model for optimization of project network parameters in the construction industry.

• 영재교육연구
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• 제25권4호
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• pp.607-628
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• 2015

본 연구는 영재와 평재 고등학생을 대상으로 이들의 성공에 대한 인식, Grit(관심의 일관성, 노력의 인내), 열망(내재열망 - 신체적 건강, 자아성장, 소속감, 공동체 기여; 외재열망 - 명성, 이미지, 경제적 성공) 및 성취목적(숙달목적, 수행접근 목적, 수행회피 목적)에는 어떤 차이를 보이는지 살펴보고자 하였다. 본 연구에서는 영재학교 2개교에서 200명, 일반 고등학교 2개교에서 350명, 총 550명을 표집 대상으로 하였다. 이 중 불성실하게 응답한 54명을 제외한 496명(회수율 90.18%, 영재학생 153명, 평재학생 343명)을 최종 분석대상으로 선정하였다. 본 연구 결과, 영재학생과 평재학생 모두의 경우, '성공은 내가 통제할 수 없는 것'이라고 생각하는 비중이 50%를 상회하는 것으로 나타났으며, 성공에 영향을 미치는 요인들 중 '근면'을 가장 많이 선택하였다. 반면에, 성공에 영향을 미치는 요인들 중 '부유한 가정환경'을 선택하는 하는 비중이 영재학생들(48.2%)에 비해 평재학생들(60.4%)이 많은 것으로 나타났다. Grit의 하위요인 중 '노력의 인내'와 성취목적 하위 요인 중 '숙달목적 지향성'에서 영재학생이 평재학생에 비해 유의미하게 높은 것으로 나타났다. 또한, Grit의 하위요인 중 '노력의 인내' 요인은 영재와 평재 학생들의 '숙달 지향성'과 '수행접근 지향성'에 긍정적으로 영향을 미치는 것으로 나타났다. 또한 영재와 평재학생의 성공에 대한 인식, Grit, 열망 및 성취목적을 비교한 본 연구 결과는 이들의 성취증진 방안을 강구하는데 많은 교육적 시사점을 제공해줄 수 있을 것으로 기대된다.

• 지역사회간호학회지
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• 제10권1호
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• pp.93-105
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• 1999

Recently, Korean health care industry managers are paying more attention to customer oriented service, the rationalization of business administration, and quality control of service to adjust their business to outer environment since IMF bailout program. They are focusing on the cost reduction through remodeling the size and structure of man power, viz. labor flexibility. Nurses are not free from this juncture and contingent nurses are increasing fast. This article intends to verify the actual condition of two types of contingent nurses -part-time nurses and internship nurses-and to compare their job satisfaction to provide basic resource for efficient management of nurse man power. The concrete goals of this article are; Firstly, to verify the actual condition of their employment. Secondly, to compare their job satisfaction. And Thirdly, to the relation between employment condition and job satisfaction. To accomplish these research goals, a statistical survey was executed, in which 384 questionnaires - 66 for manager nurses, 318 for contingent nurses-were given to nurses working at 66 general hospitals-which have at least 100 beds-in Seoul. Among them, 121 questionnaires-of 28 general hospitals-were returned. Then, the data coded and submitted to mean, standard deviation, T-test, variance analysis (ANOVA), correlation analysis, multiple regression analysis with SAS program. The research results of the contingent nurses are followings: 1. Two types of contingent nurses shows similar age spans: they are mostly 21 - 30 years old and unmarried. But internship nurses have high level of educational career. Part - time nurses spread at general beds, out -patient part, intensive care part, operation part, etc, but internship nurses work mostly at general beds. 2. Two groups shows difference in actual employment condition: average employment career of part -time nurses is 7.0 months but internship nurses' is 2.0 months: average duty-on days per month of part - time nurses are 23.7 days but internship nurses' are 24.8 days. But there are little difference in average working time per day: 7.7 hours for part -time nurses and 0 hours for internship nurses. 3. The average wage per month for part -time nurses is 836,026 won but for internship nurses is 557,428 won-66.7% of part-time nurses'. Both groups are enjoying little additional pay. 4. Both groups are getting job not so much through advertisement of newspaper or hospitals as through acquainted person or college. 5. Both groups show very high level of job satisfaction: 3.2195 for part -time nurses and 3.2881 for internship nurses. But they show very low satisfaction on payment level compared with other categories and two groups show meaningful difference(P<.0001). 6. The multiple regression test reveals the factors related with job satisfaction: wage level, working part(OR or ICU), age, job career, and motive of contingent job-taking('because I can take care of family duties at the same time') influence positively: motive of contingent job-taking('because I can work regularly without alternation') influences negatively.

• 한국의상디자인학회지
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• 제13권1호
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• pp.99-112
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• 2011

The purpose of this research is to study India's traditional embroidery method, Mirror Work, and to evaluate the examples of contemporary costumes as well as the applications of art to clothing that have been influenced by this technique, in order to expand its usage for creation of a new fashion image. Research in the literature and application of works related to Mirror Work have demonstrated: First of all, as a traditional embroidery method that represents the folk art of India, Mirror Work displays unique methods used in different regions and the way that various methods and materials were combined by the use of mirrors, beads, and $appliqu{\acute{e}}$. Secondly, it was found that the presentation of Mirror Work in the $pr{\hat{e}}t$-a-porte collection is based on a traditional embroidery method using both developed materials and adapted methods to express traditional reproducibility, geometric simplicity, and aesthetic characteristics of complex decorations. Thirdly, new plasticity for art to wear clothing can be created through various methods aside from embroidery, for example by a technique of wrapping crochet laces and tapes around the mirror for decorative purposes. Based on these results it can be inferred that, from the perspective of multiple forms for decorations, Mirror Work shares multiple forms of personal aesthetic goals through the mirror's unique quality for expression and enhanced images of artistic decorative art. Also, the introduction of traditional materials and methods for today's folk art and traditional costumes can be the subject of unique aesthetic characteristics based on different perspectives of the recreation of tradition. Finally, it can further create a new plasticity within the globalization phenomena.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제11권6호
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• pp.3012-3028
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• 2017

In this paper, we propose a joint power control strategy for both the uplink and downlink transmission by considering the energy requirements of the user equipments' uplink data transmissions in data and energy integrated communication networks (DEINs). In DEINs, the base station (BS) adopts the power splitting (PS) aided simultaneous wireless information and power transfer (SWIPT) technique in the downlink (DL) transmissions, while the user equipments (UEs) carry out their own uplink (UL) transmissions by exploiting the energy harvested during the BS's DL transmissions. In our DEIN model, there are M UEs served by the BS in order to fulfil both of their DL and UL transmissions. The orthogonal frequency division multiple access (OFDMA) technique is adopted for supporting the simultaneous transmissions of multiple UEs. Furthermore, a transmission frame is divided into N time slots in the medium access control (MAC) layer. The mathematical model is established for maximizing the sum-throughput of the UEs' DL transmissions and for ensuring their fairness during a single transmission frame T, respectively. In order to achieve these goals, in each transmission frame T, we optimally allocate the BS's power for each subcarrier and the PS factor for each UE during a specific time slot. The original optimisation problems are transformed into convex forms, which can be perfectly solved by convex optimisation theories. Our numerical results compare the optimal results by conceiving the objective of maximising the sum-throughput and those by conceiving the objective of maximising the fair-throughput. Furthermore, our numerical results also reveal the inherent tradeoff between the DL and the UL transmissions.

• 경영과학
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• 제32권4호
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• pp.193-207
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• 2015

Government-funded research institutes (GRIs) have played a pivotal role in national R&D in Korea. To achieve desired goals of GRIs with the limited R&D budget, their performance along with time needs to be measured and compared so that appropriate R&D policies can be formulated and implemented. This study measures the dynamic performance of GRIs from the efficiency perspective using the window model of data envelopment analysis (DEA). DEA is a non-parametric approach to measuring the relative efficiency of decision-making units (DMUs) with multiple inputs and outputs, and the DEA window model can capture the dynamic changes in efficiency of DMUs during multiple periods. The relative efficiency of GRIs is measured from the two perspectives: R&D and R&BD. Patents, papers, technology transfers are selected as outputs for R&D while compensated technology transfers and technology royalty are employed as outputs for R&BD. This study measures and compares the two types of performance of 20 Korean GRIs under the control of National Research Council of Science and Technology during the period of six years from 2008 to 2013. The results are expected to provide fruitful implications for national R&D policy making.