• 과학기술학연구
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• 제18권2호
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• pp.7-41
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• 2018

정부 기관 혹은 과학협회에서 비전문가 시민으로 하여금 대량의 데이터를 수집하도록 하는 활동에서 유래하고 있는 시민과학은 현재 프로젝트마다 과학자와의 협력 내용에서 차이를 보이고 있다. 생물종 개체수 조사 등 생태, 환경과학 영역에 집중되고 있던 시민과학 연구 내용은 천문학, 분산 컴퓨팅, 강입자물리 영역까지 확장되어갔다. 시민과학은 시민 자원 봉사자들에 의한 데이터 수집으로 비용 효과적으로 과학 연구를 수행할 수 있게 해주어 과학 연구 진전에 기여할 수 있었다. 또한 시민과학은 프로젝트에 참여한 시민들의 과학지식을 증진시키며 대중의 과학 이해를 향상시켜주는 것으로 나타났다. 이밖에 공동체 주도 시민과학 프로젝트는 지역 환경 이슈에 대한 공중의 인식을 향상시키고 환경 문제 해결에의 시민 참여를 장려하는 역할을 했다. 지역 시민들의 경험지에 근거하는 시민과학 프로젝트는 지역 환경 정책 결정 및 실행에 직접적인 도움을 주고 있는 것으로 나타났다. 이와 같은 시민과학의 교육, 사회 정책적 가치로 인해 각국 정부들에서는 시민과학 활성화를 위한 다양한 정책들을 수립하고 있다. 국내에서도 시민과학의 사회적 역할에 주목하여 정부 주도의 시민과학 프로젝트들이 기획, 실행되고 있다. 시민의 자발적인 참여에 의해 다양한 프로젝트들이 실행되고 있는 국외와 달리 국내에서 진행되는 시민과학 활동은 아직 주제 영역이 제한적이며 활동의 주체로서 과학자나 시민 참여가 아직은 낮은 수준에 머물고 있는 것으로 나타났다. 공공주도의 시민과학 프로젝트를 통해 시민 참여가 늘어나고 또한 과학자들도 시민과학의 가능성을 인지할 수 있도록 하는 것은 중요해 보인다. 과학자에 대한 평가제도를 개선하여 시민과학 참여를 증진하는 방안도 모색되어야 할 것이다. 공공 주도 시민과학 프로젝트 운영을 시민 참여 강화에 맞추어 세밀하게 기획할 필요가 있다. 시민단체 주도의 자연조사 활동이 시민과학으로서 실질적으로 과학 연구, 나아가 환경 정책에 기여할 수 있도록 오픈 데이터 정책이 마련되어야 할 것이다. 시민과학 프로젝트 경험을 공유, 확산할 수 있는 시민과학 네트워크 구축에도 노력할 필요가 있다.

• 한국콘텐츠학회논문지
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• 제16권6호
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• pp.601-613
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• 2016

본 연구의 목적은 미디어 환경과 미디어 사용에 대한 아동의 심성모형을 분석하여 제시하고 이를 토대로 교육적 시사점을 제공하는 것이다. 이를 위하여 10명의 초등 4-5학년 연령대 아동과의 인터뷰, 그림 그리기, 연상 단어 제시하기, 문장 완성하기의 네 가지 활동을 통하여 데이터를 수집하였고 연구자 2인에 의해 질적으로 분석되었다. 먼저 문장 완성활동과 연상 단어 활동을 통해 도출된 의미 구성요소는 미디어 기기, 소통성(소외감), 유능함(공급원), 오락성, 역기능, 양면성의 총 6개 요소였다. 두 번째로, 참여자들의 그림에서 추출된 미디어 심성모형의 구성요소는 기능성/유능함, 오락성, 책(종이)과의 갈등/공유, 해악/양면성 등의 4개 요소였다. 세 번째로, 인터뷰를 통해 나타난 심성모형의 의미요소는 갈등(종이책과 전자 미디어), 소통 중심성, 두려움(중독), 그리고 사용자의 자격 등으로 범주화되었다. 이러한 결과를 토대로 본 연구는 사이버 소통에 대한 관찰과 인식 강화, 중독예방 교육의 필요성, 학습 미디어와 책 미디어의 적극적 개발과 균형있는 활용, 건강한 미디어 리터러시 교육과 비판적 사고의 강화 등을 교육적 함축으로 제시하였다.

• 한국분말재료학회지
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• 제9권6호
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• pp.422-432
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• 2002

Mechanically driven decomposition of intermetallics during mechanical milling(MM 1 was investigated. This process for Fe-Ce and Fe-Sn system was studied using conventional XRD, DSC, magnetization and alternative current susceptibility measurements. Mechanical alloying and milling form products of the following composition (in sequence of increasing Gecontent): $\alpha$(${\alpha}_1$) bcc solid solution, $\alpha$+$\beta$-phase ($Fe_{2-x}Ge$), $\beta$-phase, $\beta$+FeGe(B20), FeGE(B20), FeGe(B20)+$FeGe_2$,$FeGe_2$,$FeGe_2$+Ge, Ge. Incongruently melting intermetallics $Fe_6Ge_5$ and $Fe_2Ge_3$ decompose under milling. $Fe_6Ge_5$ produces mixture of $\hat{a}$-phase and FeGe(B20), $Fe_2Ge_3$ produces mixture of FeGe(B20) and $FeGe_2$ phases. These facts are in good agreement with the model that implies local melting as a mechanism of new phase for-mation during medchanical alloying. Stability of FeGe(B20) phase, which is also incongruently melting compound, is explained as a result of highest density of this phase in Fe-Ge system. Under mechanical milling (MM) in planetary ball mill, FeSn intermetallic decomposes with formation $Fe_5Sn_3$ and $FeSn_2$ phases, which have the biggest density among the phases of Fe-Sn system. If decomposition degree of FeSn is relatively small(<60%), milled powder shows superparamagnetic behavior at room temperature. For this case, magnetization curves can be fitted by superposition of two Langevin functions. particle sizes for ferromagnetic $Fe_5Sn_3$ phase determined from fitting parameters are in good agreement with crystalline sizes determined from XRD data and remiain approximately chageless during MM. The decomposition of FeSn is attributed to the effects of local temperature and local pressure produced by ball collisions.

• 유통과학연구
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• 제14권10호
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• pp.147-152
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• 2016

Purpose - High quality films are affected by both the production stage and various variables such as the size of the movie investment and marketing that changes consumers' perceptions. Consumer preferences should be recognized first to ensure that the movie is successful. If a film is produced without pre-investigation and analysis of consumer demand and taste, the probability of success will be low. This study investigates the balance of production costs, marketing costs, and profits using game theory, suggesting an optimization strategy using the simplex method of linear programming. Research design, data, and methodology - Before the release of the movie, initial demand is assumed to be driven largely by marketing costs. In the next phase, demand is assumed to be driven purely by a movie's production cost and quality, which might also further determine consumer demand. Thus, it is essential to determine how to distribute pure production costs and other costs (marketing) in a limited movie production budget. Moreover, it should be taken into account how to optimally distribute under the assumption that the audience and production company's input resources are limited. This research simplifies the assumptions for large-scale and relatively small-scale movie investments and examines how movie distribution participant profits differ when each cost is invested differently. Results - When first movers or market leaders have to choose both quality and marketing, it has been proven that pursuing a strategy choosing only one is more likely than choosing both. In this situation, market leaders should maximize marketing costs under the premise that market leaders will not lag their quality behind the quality of second movers. Additionally, focusing on movie marketing that produces a quick effect while ceding creative activity to increase movie quality is a natural outcome in the movie distribution environment since a cooperative strategy between market competitors is not feasible. Conclusions - Government film development policy should ignore quality competition between movie production companies and focus on preventing marketing competition. If movie production companies focus on movie production quality improvement then a creative competition would ensue.

• Computers and Concrete
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• 제32권2호
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• pp.217-232
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• 2023

Numerous studies have been performed on the behavior of pile foundations in cold regions. This study first attempted to employ artificial neural networks (ANN) to predict pile-bearing capacity focusing on pile data recorded primarily on cold regions. As the ANN technique has disadvantages such as finding global minima or slower convergence rates, this study in the second phase deals with the development of an ANN-based predictive model improved with an Elephant herding optimizer (EHO), Dragonfly Algorithm (DA), Genetic Algorithm (GA), and Evolution Strategy (ES) methods for predicting the piles' bearing capacity. The network inputs included the pile geometrical features, pile area (m²), pile length (m), internal friction angle along the pile body and pile tip (Ø°), and effective vertical stress. The MLP model pile's output was the ultimate bearing capacity. A sensitivity analysis was performed to determine the optimum parameters to select the best predictive model. A trial-and-error technique was also used to find the optimum network architecture and the number of hidden nodes. According to the results, there is a good consistency between the pile-bearing DA-MLP-predicted capacities and the measured bearing capacities. Based on the R2 and determination coefficient as 0.90364 and 0.8643 for testing and training datasets, respectively, it is suggested that the DA-MLP model can be effectively implemented with higher reliability, efficiency, and practicability to predict the bearing capacity of piles.

• 한국지진공학회논문집
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• 제22권3호
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• pp.201-210
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• 2018

The improvement in computing systems and sensor technologies devotes to conduct data-driven structural health monitoring algorithms for existing civil infrastructures. Despite of the development of techniques, the uncertainty oriented from the measurement results in the discrepancy to the actual structural parameters and let engineers or decision makers hesitate to adopt such techniques. Many studies have shown that the modal identification results can be affected by the uncertainties due to the applied methods and the types of loading. This paper aims to compare the performance of modal identification methods using Structural Modal Identification Toolsuite (SMIT) which has been developed to facilitate multiple identification methods with a user-friendly designed platform. The data fed into SMIT processes three stages for the comprehensive identification including preprocessing, eigenvalue estimation, and post-processing. The seismic and white noise response for shear frame model was obtained from numerical simulation. The identified modal parameters is compared to the actual modal parameters. In order to improve the quality of coherence in identified modal parameters, several hurdles including modal phase collinearity and extended modal amplitude coherence were introduced. Numerical simulation conducted on the 5 dof shear frame model were used to validate the effectiveness of using these parameters.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2005년도 ICCAS
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• pp.1343-1346
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• 2005

In the cold rolling mill, coil breakage that generated in rolling process makes the various types of troubles such as the degradation of productivity and the damage of equipment. Recent researches were done by the mechanical analysis such as the analysis of roll chattering or strip inclining and the prevention of breakage that detects the crack of coil. But they could cover some kind of breakages. The prediction of Coil breakage was very complicated and occurred rarely. We propose to build effective prediction modes for coil breakage in rolling process, based on data mining model. We proposed three prediction models for coil breakage: (1) decision tree based model, (2) regression based model and (3) neural network based model. To reduce model parameters, we selected important variables related to the occurrence of coil breakage from the attributes of coil setup by using the methods such as decision tree, variable selection and the choice of domain experts. We developed these prediction models and chose the best model among them using SEMMA process that proposed in SAS E-miner environment. We estimated model accuracy by scoring the prediction model with the posterior probability. We also have developed a software tool to analyze the data and generate the proposed prediction models either automatically and in a user-driven manner. It also has an effective visualization feature that is based on PCA (Principle Component Analysis).

• The Journal of Asian Finance, Economics and Business
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• 제8권10호
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• pp.197-205
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• 2021

This study aims to investigate factors influencing customer behavior towards nylon bags and single-use plastics. These factors are environmental protection awareness, health protection awareness, sense of responsibility, expectations, and green marketing. A quantitative method with the use of surveys is deployed to collect data of young people under 30, generating 1650 valid responses. The collected data is then analyzed with SPSS 22, using Cronbach's Alpha and Exploratory Factor Analysis to test the reliability of the model before validating the hypotheses by regression analysis. The study found that the majority of respondents are inclined to use plastic bags, despite their environmental awareness. The results also demonstrate that health consciousness, environmental concerns, self-driven responsibility for the sustainability of young people have a significant impact on their behaviors in using nylon bags and plastic products, whereas expectation and green marketing are confirmed not to be the factors. The study suggests that if green marketing is to gain higher influence, an increase in research and development to support other environmentally friendly packaging would be the right path. Finally, this research proposes some feasible recommendations for the government, which include imposing bolder and more targeted environmental policies on consumers and introducing educational campaigns to raise awareness about minimizing plastic consumption.

• Korean Chemical Engineering Research
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• 제62권2호
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• pp.173-180
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• 2024

Under ordinary atmospheric circumstances, the gravimetric technique was used to measure the solubility of L-cysteine (L-Cys) and L-alanine (L-Ala) in various solvents, including methyl alcohol, ethyl acetate, and mixtures of the two, in the range o 283.15 K to 323.15 K. Both individual solvents and their combinations showed a rise in the solubility of L-Cys and L-Ala with increasing temperature, according to the analyzed data but when analyzed at a constant temperature in the selected mixed solvents, the solubility declined with decreasing of initial mole fractions of methyl alcohol. To further assess, the relative utility of the four solubility models, we fitted the solubility data using the Jouyban-Acree (J-A), van't Hoff-Jouyban-Acree (V-J-A), Apelblat-Jouyban-Acree (A-J-A), and Ma models followed by evaluation of the values of the RAD information criteria and the RMSD were. The dissolution was also found to be an entropy-driven spontaneous mixing process in the solvents since the thermodynamic parameters of the solvents were determined using the van't Hoff model. In order to support the industrial crystallization of L-cysteine and L-alanine and contribute to future theoretical research, we have determined the experimental solubility, correlation equations, and thermodynamic parameters of the selected amino acids during the dissolution process.

• 융합경영연구
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• 제12권3호
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• pp.13-22
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• 2024

Purpose: While there has been extensive research on discretionary accruals (hereafter, 'DA') and accounting conservatism, interpretations have varied among researchers depending on how discretionary accruals are determined as proxies. This study investigates the relationship between discretionary accruals (DA) and accounting conservatism, focusing on the distinctions between signed DA and absolute DA. Research design, data and methodology: Using financial data from companies listed on the KOSPI and KOSDAQ markets from 2010 to 2020, we employ regression analysis to explore how signed and absolute DA impact accounting conservatism. This approach allows us to parse out the effects of positive versus negative discretionary accruals systematically. Results: Our findings indicate a divergent impact of DA on accounting conservatism. Specifically, in cases of negative DA, an increase in DA corresponds with heightened accounting conservatism. Conversely, when DA is positive, increases in DA do not exhibit a significant relationship with changes in accounting conservatism. These effects suggest that the nature of DA-whether it represents upward or downward earnings adjustments-critically influences its relationship with conservatism. Conclusions: The results elucidate the nuanced role of discretionary accruals in influencing accounting conservatism. The decrease in accounting conservatism associated with absolute increases in DA appears primarily driven by groups with downward earnings adjustments. This suggests that as negative DA diminishes toward zero, accounting conservatism intensifies, whereas positive DA does not have a parallel effect.