• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.4B
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• pp.345-354
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• 2006

Drought brings on long term damage in contrast to flood, on economic loss in the region, and on ecologic and environmental disruptions. Drought is one of major natural disasters and gives a painful hardship to human beings. So we have tried to quantify the droughts for reducing drought damage and developed the drought indices for drought monitoring and management. The Palmer's drought severity index (PDSI) is widely used for the drought monitoring but it has the disadvanges and limitations in that the PDSI is estimated by considering just climate conditions as pointed out by many researchers. Thus this study uses the SWAT model which can consider soil conditions like soil type and land use in addition to climate conditions. We estimate soil water (SW) and soil moisture index (SMI) by SWAT which is a long term runoff simulation model. We apply the SWAT model to Soyang dam watershed for SMI estimation and compare SMI with PDSI for drought analysis. Say, we calibrate and validate the SWAT model by daily inflows of Soyang dam site and we estimate long term daily soil water. The estimated soil water is used for the computation of SMI based on the soil moisture deficit and we compare SMI with PDSI. As the results, we obtained the determination coefficient of 0.651 which means the SWAT model is applicable for drought monitoring and we can monitor drought in more high resolution by using GIS. So, we suggest that SMI based on the soil moisture deficit can be used for the drought monitoring and management.

• The Journal of Korean Academy of Prosthodontics
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• v.61 no.3
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• pp.215-226
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• 2023

Severe wear of the anterior teeth facilitates the loss of anterior guidance, which protects the posterior teeth from wear during excursive movement. Additionally, when treating patients with collapsed occlusion due to multiple tooth loss and tooth wear, it is important to determine the presence of vertical dimension loss through accurate clinical and radiographic examinations and diagnostic wax-up. The patient of this case is a 44-year-old female patient who complained of overall tooth wear and loss of posterior teeth due to bruxism and clenching habits, visited the hospital with the address of restoring masticatory function and improving aesthetic appearance through prosthetic treatment. Through model analysis and diagnostic wax-up, an increase in vertical dimension was determined, and full mouth restoration with fixed prostheses was planned. The degree of adaptation to the vertical dimension was confirmed step by step using an occlusal splint designed with CAD (Computer aided design) software and 3-D (3-Dimensional) printed, and then restored with provisional restoration and after a 4-month adaptation period, the entire dentition was restored with metal ceramic crowns and implants. Through this procedure, satisfactory treatment results were obtained in terms of function and aesthetics.

• Journal of Ethics
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• no.82
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• pp.73-125
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• 2011

This article aims to search for moral educational implication of J. D. Greene's recent neuro-scientific approaches to deontological ethics. Recently new technique in neuroscience such as fMRI is applied to moral and social psychological concepts or terms, and 'affective primacy' and 'automaticity' principles are highlighted as basic concepts of the new paradigm. When these principles are introduced to ethical theories, it makes rooms of new and different interpretations of them. J. D. Greene et al. claim that deontological moral judgments or theories are just a kind of post hoc rationalization for intuitions or emotions by ways of neuroscientific findings and evolutionary interpretation. For example, Kant's categorical imperative in which a maxim should be universalizable to be as a principle, might be a product of moral intuition. Firstly this article tries to search for intellectual backgrounds of the social intuitionalism where Greens' thought originates. Secondly, this article tries to collect and summarize his arguments about moral dilemma responses, personal-impersonal dilemma catergorizing hypothesis, fMRI data interpretations by ways of evolutionary theory, cultural and social psychological theories, application to deontological and consequential theories, and his suggestion that deontological ethics shoud be rejected as a normative ethical thought and consequentialism be a promising theory etc. Thirdly, this tries to analyse and critically exam those aspects and argumentation, especially from viewpoints of the ethicists whose various strategies seek to defeat Greene's claims. Fourthly, this article criticizes that his arguments make a few critical mistakes in methodology and data interpretation. Last, this article seeks to find its implications for moral education in korea, in which in spite of incomplete argumentation of his neuroscientific approach to morality, neuroethics needs to be introduced as a new approach and educational content, and critical materials as well.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.15-17
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• 2022

In the aftermath of the avian influenza that occurred from the second half of 2020 to the beginning of 2021, 17.8 million laying hens were slaughtered. Although the government invested more than 100 billion won for egg imports as a measure to stabilize prices, the effort was not that easy. The sharp volatility of egg prices negatively affected both consumers and poultry farmers, so measures were needed to stabilize egg prices. To this end, the egg prices were successfully predicted in this study by using the analysis algorithm of a machine learning regression. For price prediction, a total of 8 independent variables, including monthly broiler chicken production statistics for 2012-2021 of the Korean Poultry Association and the slaughter performance of the national statistics portal (kosis), have been selected to be used. The Root Mean Square Error (RMSE), which indicates the difference between the predicted price and the actual price, is at the level of 103 (won), which can be interpreted as explaining the egg prices relatively well predicted. Accurate prediction of egg prices lead to flexible adjustment of egg production weeks for laying hens, which can help decision-making about stocking of laying hens. This result is expected to help secure egg price stability.

• Asia Marketing Journal
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• v.9 no.3
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• pp.209-232
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• 2007

두산은 2001년에 <산> 소주 제품으로 소주시장에 진입하였지만, 2002년도에 6.7%였던 <산> 소주의 시장 점유율이 2004년도 들어서서 5.4% 로 하락하였고, 선호도 역시 매우 낮은 수준으로 조사되어, 원인분석과 함께 새로운 소주에 대한 개발 필요성이 대두되었다. 당시 두산은 시장 선도 브랜드인 <참이슬>의 충성 고객층은 감소하면서 비호감 고객층이 증가하는 등 소주에 대한 고객의 욕구가 변화하고 있다는 시장조사 결과에서 성공의 기회를 엿볼 수 있었다. 그리고 1인당 알코올 소비량은 감소하였으나 소주의 소비량은 연간 70병으로 일정한 소비를 나타나고 있었기 때문에, 소주시장의 매력도는 아직 충분히 존재한다고 판단하였다. 그리하여 두산이 목표로 삼을 표적시장 선정을 위한 시장조사를 대대적으로 시작하였는데, 소주 음용 조사에서 30~40대의 남성들은 소비량이 감소하는 반면 여성들의 소주 소비량은 전 연령대에 걸쳐 증가하는 것으로 나타났다. 여기에서 두산은 새로운 소주시장에 대한 신제품 개발의 기회를 발견하고, 신제품 개발 프로젝트에 착수하게 되었다. 이를 위해 먼저 소주 트렌드의 변화와 소비자들의 라이프 스타일을 살펴보고, 이를 통해 '웰빙'을 신제품의 주요가치로 결정하게 된다. 이후 시장 세분화 조사를 통해 다량음용자(heavy user)가 많은 품질 중시 시장과 도수 및 숙취 중시 시장에 진입하기로 한다. 그 다음 소주에 대한 소비자들의 불만족 요인이 무엇인지 살펴보고 이를 해결하기 위한 대안들을 탐색한다. 그 결과 '목 넘김이 부드럽고, 몸의 산성화를 중화시키며, 숙취 해소'에 뛰어난 '알칼리수'를 신제품의 주원료로 사용한 <처음처럼>을 개발하게 된다. 소주의 주요 속성별 선호도 조사를 실시한 결과, 모든 속성에서 <처음처럼>이 경쟁사 제품보다 뛰어난 것으로 나타나 두산은 <처음처럼>을 시장에 출시하게 되었다. <처음처럼>은 24~35세를 목표 고객으로 설정하고, 유흥업소가 밀집한 중심상권을 집중적으로 공략하였다. 이를 위해 저가 정책을 실시하여 유통업체의 마진을 높였으며, 다양한 광고, 촉진 전략을 통해서 소비자 인지도를 향상시켰다. 그 결과 수도권 및 전국 지역에서 지속적으로 시장점유율이 증가하였으며, 소비자들에게 <참이슬>과 차별화된 이미지를 구축하게 되었다. <처음처럼>이 성공적으로 시장에 진입할 수 있었던 이유로는 알칼리수 사용, 감성적 브랜드명 채택, 차별화된 마케팅 전략 구사, 그리고 조직원의 강력한 성공 의지 등을 들 수 있다. 소주 시장의 독보적 존재였던 <참이슬>과의 경쟁에서 이루어진 결과라는 점에서 <처음처럼>의 사례는 많은 기업들에게 시사점을 제공할 수 있다. 하지만 현재 '대중성'이나 '친근감'같은 이미지가 <참이슬>에 비해 상대적으로 낮고, <참이슬 fresh>의 출시로 인해 목표 고객인 20대가 이탈되는 문제는 앞으로 <처음처럼>이 극복해야 할 과제이다. 이를 위해 <처음처럼>은 무엇보다 '웰빙 소주'로서의 이미지를 확고히 하기 위한 마케팅 전략을 실행하여야 할 것이다.

• Journal of Internet of Things and Convergence
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• v.10 no.1
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• pp.69-75
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• 2024

This paper proposes an innovative cognitive IoT framework specifically designed for fog computing (FC) in the context of industrial Internet of Things (IIoT). The discourse in this paper is centered on the intricate design and functional architecture of the Cognitive IoT platform. A crucial feature of this platform is the integration of machine learning (ML) and artificial intelligence (AI), which enhances its operational flexibility and compatibility with a wide range of industrial applications. An exemplary application of this platform is highlighted through the Predictive Maintenance-as-a-Service (PdM-as-a-Service) model, which focuses on real-time monitoring of machine conditions. This model transcends traditional maintenance approaches by leveraging real-time data analytics for maintenance and management operations. Empirical results substantiate the platform's effectiveness within a fog computing milieu, thereby illustrating its transformative potential in the domain of industrial IoT applications. Furthermore, the paper delineates the inherent challenges and prospective research trajectories in the spheres of Cognitive IoT and Fog Computing within the ambit of Industrial Internet of Things (IIoT).

• Explosives and Blasting
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• v.41 no.3
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• pp.26-37
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• 2023

In order to determine the amount of explosives that can minimize the vibration generated during tunnel construction using the blasting method, it is necessary to derive the blasting vibration coefficients, K and n, by analyzing the vibration records of trial blasting in the field or under similar conditions. In this study, we aimed to develop a technique that can derive reasonable K and n when trial blasting cannot be performed. To this end, we collected full-scale trial blast data and studied how to predict the blast vibration coefficient (K, n) according to the type of explosive, center cut blasting method, rock origin and type, and rock grade using deep learning (DL). In addition, the correction value between full-scale and borehole trial blasting results was calculated to compensate for the limitations of the borehole trial blasting results and to carry out a design that aligns more closely with reality. In this study, when comparing the available explosive amount according to the borehole trial blasting result equation, the predictions from deep learning (DL) exceed 50%, and the result with the correction value is similar to other blast vibration estimation equations or about 20% more, enabling more economical design.

• Journal of the Korean GEO-environmental Society
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• v.25 no.5
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• pp.29-37
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• 2024

This study aimed to investigate the changes in chemical components that occur when weak clay is mixed with steel slag modified with calcium oxide, and to understand the expression characteristics of compressive strength according to hydrophilicity and curing time. XRF testing, SEM imaging, vane shear strength and uniaxial compressive strength testing were conducted. Calcium (Ca) released from the steel slag increases the Ca content in clay by increasing the number of crystal particles and forming a coating layer known as calcium silicate hydrate (CaO-SiO₂-H₂O) through chemical reactions with SiO₂ and Al₂O₃ components. The weak clay stabilized with steel slag is classified into an initial inactive zone where strength relatively does not increase and an activation zone where strength increases over curing time. The vane shear strength of the initial inactive area was found to be 4.4 to 18.4 kN/m² in the state of the weight mixing ratio Rss 30% (steel slag 30% + clay 70%). In the case of the active area, the maximum uniaxial compressive strength increased to 431.8 kN/m² after 480 hours of curing time, which increased due to the apparent adhesion strength of clay through pozzolanic reaction. Therefore, considering the strength expression characteristics of stabilized mixed clay based on the mixing ratio (Rss) during the recycling of steel slag can enhance its practicality in civil engineering sites.

• Journal of the Korean Society for Library and Information Science
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• v.58 no.1
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• pp.99-122
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• 2024

This study investigated librarians' awareness of and demand for the librarian learning community in order to successfully introduce and operate the librarian learning community. For this purpose, an online survey was conducted targeting current librarians and a total of 474 responses were collected. The main analysis results are as follows. Firstly, librarians showed a very low awareness of the librarian learning community, while they highly evaluated the purpose and significance of such a community. Secondly, the motivations for librarians to participate in the librarian learning community were primarily focused on professional growth, solidarity with colleagues, and satisfaction of intellectual curiosity, in that order. Thirdly, the ultimate values of the librarian learning community were identified as improving library services, enhancing professionalism, fostering collaborative group exploration, sharing values and visions. Fourthly, the success factors of the librarian-learning community were ranked as follows: member voluntarism, a culture of collaboration among members, dedicated time (once a week), and a supportive environment (budget, space, etc.). On the other hand, the failure factors were identified as a lack of time due to heavy workloads, lack of member voluntarism, indifference from superiors, and insufficient support environment (budget, space, etc.). Finally, the willingness to participate is also very high. Furthermore, it was observed that there is a wide range of interests in various topics among librarians. The results of this study are expected to be useful as basic data for determining practical operation methods or selecting topics when operating a librarian learning community in the future.

• Food Science and Preservation
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• v.30 no.1
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• pp.122-131
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• 2023

Persimmon peels are mostly discared as a by-product of dried persimmon manufacturing, but effective use is required as it contains various functional constituents. This study covers the preparation of carotenoid-enriched oil by ultrasound treatment of persimmon peel in soybean oil solvent, and the investigation of its physicochemical characteristics. Using the Box-Behnken design and response surface methodology, the optimal extraction conditions (temperature, 62℃; time, 32 min; and persimmon peel to oil ratio, 1:3.1) were determined based on the carotenoid concentration of the extract. The physicochemical characteristics of the extract obtained under optimal conditions and the untreated soybean oil (control) were compared. The total carotenoid content of the extract increased. The carotenoid-enriched soybean oils had a lighter color than the controls, but with high redness and yellowness values. The effect of sonication and a component of the persimmon peel on the oxidation and heating stability of soybean oil was weak. The viscosity and activation energy of carotenoid-enriched soybean oil were slightly higher than those of the control. Thus, it was possible to prepare yellow-red carotenoid-enriched soybean oil by applying ultrasonic-soybean oil solvent extraction to persimmon peel. The oil is expected to be useful as an additive as well as a substitute for general edible oils.