• 한국의상디자인학회지
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• 제9권2호
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• pp.155-166
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• 2007

The purpose of the research is to provide the operation plans of internet marketing for effective application as marketing tools by analyzing the application status of marketing mix through the 30 websites of sportswear brands. Firstly, a study on the marketing mix strategy of sportswear brands presents that most brands put a high priority on promotion strategy by achieving online marketing. Secondly, compared with the other company brands which have online shopping mall, the website of sportswear brands consists of centered brand image. Therefore, based on the analysis about the variety of products and merchandise picture in each item and detailed information offer of neo-products introduction, marketing mix is insufficient in the website of sportswear and the price strategy has the least information. After website of sportswear brands is connected with online-shopping mall, guidance for its price and product is performed mainly. Consequently the sales promotion strategy of price needs development through the incentive and discount price. Promotion strategy occupies more parts than any other strategy. Especially, it allows a high proportion of the variety of events and information for the customer services. Also it needs to improve its bulletin board and Q&A board on the website for better communication with customers. Furthermore distribution strategy focuses on information such as location, contact numbers and address of the online shopping mall. Although online shopping mall has its own advantage which is marketing on the internet, it is not yet in progress.

• Nuclear Engineering and Technology
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• 제54권4호
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• pp.1464-1470
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• 2022

This paper presents a high performance burnable absorber named as CIMBA (Cylindrically Inserted and Mechanically Separated Burnable Absorber) for the soluble-boron-free SMR. The CIMBA is the cylindrical gadolinia inserted into the annular fuel pellets. Although the CIMBA utilizes the spatial self-shielding effect of the fuel material, a large reactivity upswing occurs when the gadolinia is depleted. To minimize the reactivity swing of the CIMBA-loaded FA, two approaches were investigated. One is controlling the spatial self-shielding effect of the CIMBA as burnup proceeds by a multi-layered structure of the CIMBA (ML-CIMBA) and the other is the mixed-loading of two different types of CIMBA (MIX-CIMBA). Both approaches show promising performances to minimize the reactivity swing, where the MIX-CIMBA is more preferable due to its simpler fabrication process. In conclusion, the MIX-CIMBA is expected to accelerate the commercialization of the CIMBA and can be used to achieve an optimal soluble-boron-free SMR core design.

• 한국지반공학회논문집
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• 제16권1호
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• pp.227-234
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• 2000

Soilcrete는 도로포장과 연약지반개량공사에 널리 활용되고 있는 전통적인 재료이지만 내구성이 떨어지고 품질이 불균질하기 때문에 용도확대에 제약을 받아왔다. 그러나 최근 환경친화적인 수요가 증가하면서 공원의 산책로, 골프장의 보도 등에 고강도 소일크리트의 적용사례가 증가하고 있다 본 연구의 목적은 포졸란 시멘트를 이용한 고강도 소일크리트에 대해서 통계적인 실험계획법을 적용하여 참고 배합설계를 실시하고자 하였다. 시험토질은 국내 현장에서 흔히 볼 수 있는 점토를 대상으로 하였으며, 연구결과 압축강도$50~150kg/cm^2$수준의 고강도 소일크리트에 대한 실용적인 참고 배합표를 제안할 수 있었다.

• 한국산학기술학회논문지
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• 제12권9호
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• pp.4199-4204
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• 2011

아스팔트 혼합물의 동탄성계수는 포장체의 내구성 및 공용성을 평가하는데 매우 중요한 지표이다. 최근 미국의 AASHTO 2002 설계법 및 한국형 포장설계법에서도 아스팔트 포장체의 가장 중요한 물성중 하나를 동탄성계수로 정의하였고, 이를 아스팔트 포장의 설계 및 해석에 적극 이용하고 있다. 동탄성계수를 설계에 이용하기 위해서는 마스터곡선을 작성하여야 한다. 마스터곡선은 각각의 아스팔트 혼합물을 이용하여 평가된 동탄성계수 값을 이용하여 결정한다. 마스터곡선을 결정하는 방법은 표준화되어 있으나, 저온영역(-10도)에서는 시험장비 계측장비의 결로로 인한 측정오차 및 고온영역(55도)에서는 아스팔트 바인더의 유체화 및 실험기기 세팅상의 문제들이 발생하여 측정 결과값에 큰 영향을 준다. 따라서, 이러한 온도대역의 자료를 제외한, 5도, 21도 및 40도에서 측정된 결과값을 이용하여 마스터곡선을 작성 및 분석하였고, 이를 기존의 표준방법으로 결정한 마스터곡선과 비교하였다. 본 연구에서 제안된 방법을 이용하여 결정된 마스터곡선은 고온영역에서 차이가 있기는 하지만, 충분히 사용가능한 것으로 판단되었다.

• Computers and Concrete
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• 제33권2호
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• pp.137-145
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• 2024

The technique of experimentally determining concrete's compressive strength for a given mix design is time-consuming and difficult. The goal of the current work is to propose a best working predictive model based on different machine learning algorithms such as Gradient Boosting Machine (GBM), Stacked Ensemble (SE), Distributed Random Forest (DRF), Extremely Randomized Trees (XRT), Generalized Linear Model (GLM), and Deep Learning (DL) that can forecast the compressive strength of ternary geopolymer concrete mix without carrying out any experimental procedure. A geopolymer mix uses supplementary cementitious materials obtained as industrial by-products instead of cement. The input variables used for assessing the best machine learning algorithm not only include individual ingredient quantities, but molarity of the alkali activator and age of testing as well. Myriad statistical parameters used to measure the effectiveness of the models in forecasting the compressive strength of ternary geopolymer concrete mix, it has been found that GBM performs better than all other algorithms. A sensitivity analysis carried out towards the end of the study suggests that GBM model predicts results close to the experimental conditions with an accuracy between 95.6 % to 98.2 % for testing and training datasets.

• Journal of Mechanical Science and Technology
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• 제18권12호
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• pp.2182-2189
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• 2004

In the recent years, environmentally conscious design and manufacturing technologies have attracted considerable attention. The coolants, lubricants, solvents, metallic chips and discarded tools from manufacturing operations will harm our environment and the earth's ecosystem. In the present work, the Tukey method of multiple comparisons is used to select the minimum level of coolant required in a turning process. The amount of coolant is varied in 270 designed experiments and the parameters cutting temperature, surface roughness, and specific cutting energy are carefully evaluated. The effects of coolant mix ratio as well as the amount of coolant on the turning process are studied in the present work. The cutting temperature and surface roughness for different quantity of coolant are investigated by analysis of variance (ANOVA) - test and a multiple comparison method. ANOVA-test results signify that the average tool temperature and surface roughness depend on the amount of coolant. Based on Tukey's Honestly Significant Difference (HSD) method, one of the multiple comparison methods, the minimum level of coolant is 1.0 L/min with 2% mix ratio in the aspect of controlling tool temperature. F-test concludes that the amount of coolant used does not have any significant effect on specific cutting energy. Finally, Tukey method ascertains that 0.5 L/min with 6% mix ratio is the minimum level of coolant required in turning process without any serious degradation of the surface finish. Considering all aspects of cutting, the minimum coolant required is 1.0 L/min with 6% mix ratio. It is merely half the coolant currently used i.e. 2.0 L/min with 10% mix ratio. Minimal use of coolant not only economically desirable for reducing manufacturing cost but also it imparts fewer hazards to human health. Also, sparing use of coolant will eventually transform the turning process into a more environment-conscious manufacturing process.

• Advances in concrete construction
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• 제11권4호
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• pp.335-345
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• 2021

It is known from the literature that there are relatively few studies on the engineering properties of ultra-high performance concrete (UHPC) in early age. In fact, in order to ensure the safety of UHPC during construction and sufficient durability and long-term performance, it is necessary to explore the early behavior of UHPC. The test parameters (test control factors) investigated included the percentage of cement replaced by silica fume (SF), the percentage of cement replaced by ultra-fine silica powder (SFP), the amount of steel fiber (volume percent), and the amount of polypropylene fiber (volume percentage). The engineering properties of UHPC in the fresh mixing stage and at the age of 7 days were investigated. These properties include freshly mixed properties (slump, slump flow, and unit weight) and hardened mechanical properties (compressive strength, elastic modulus, flexural strength, and splitting tensile strength). Moreover, the effects of the experimental factors on the performance of the tested UHPC were evaluated by range analysis and variance analysis. The experiment results showed that the compressive strength of the C8 mix at the age of 7 days was highest of 111.5 MPa, and the compressive strength of the C1 mix at the age of 28 days was the highest of 128.1 MPa. In addition, the 28-day compressive strength in each experimental group increased by 13%-34% compared to the 7-day compressive strength. In terms of hardened mechanical properties, the performance of each experimental group was superior to that of the control group (without fiber and without additional binder materials), with considerable improvement, and the experimental group did not produce explosive or brittle damage after the test. Further, the flexural test process found that all test specimens exhibited deflection-hardening behavior, resulting in continued to increase carrying capacity after the first crack.

• 벤처창업연구
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• 제9권6호
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• pp.153-161
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• 2014

본 연구는 Kano 모델을 이용하여 화장품 구매에 영향을 미치는 마케팅 믹스 요인을 분석하기 위해, 선행적 연구를 바탕으로 마케팅 믹스 요인 분류에 따라 긍정적 질문과 부정적 질문을 동시에 설문하여 매력적 품질, 일원적 품질, 당연적 품질을 규명하고자 하였다. Timko's Analysis 고객 만족과 불만족 계수를 이용한 화장품 구매에 영향을 미치는 마케팅 믹스 요인을 분석한 결과 촉진전략 중 가격할인 정책과 가족/ 주변인의 추천 전략이 매력적 품질로 나타났다. 제품 전략의 효능과 효과, 사용감, 피부적합성은 일원적 품질로 나와 고객의 요구를 충족시키면 선형적으로 그 만족도가 증가하는 것으로 파악되었다. 반면에 제품 측면의 용기, 포장 디자인, 색상, 브랜드 인지도와, 가격 측면의 낮은 가격, 중간가격 수준과 유통 측면의 구매경로, 촉진 측면의 매체 광고 에 대해서는 무관심 품질로 나타나서 이들 요인에 대하여는 과도한 예산을 집행하는 것은 투입대비 효과가 높지 않을 것으로 판단해 볼 수 있다.

• Industrial Engineering and Management Systems
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• 제8권1호
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• pp.47-53
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• 2009

We define product line (or mix) selection problem as selecting a subset of potential product variants that can simultaneously minimize product proliferation and maintain market coverage. Selecting the most efficient product mix is a complex problem, which requires analyses of multiple criteria. This paper proposes a method based on Data Envelopment Analysis (DEA) for product line selection. Data Envelopment Analysis (DEA) is a linear programming based technique commonly used for measuring the relative performance of a group of decision making units with multiple inputs and outputs. Although DEA has been proved to be an effective evaluation tool in many fields, it has not been applied to solve the product line selection problem. In this study, we construct a five-step method that systematically adopts DEA to solve a product line selection problem. We then apply the proposed method to an existing line of staplers to provide quantitative evidence for managers to generate desirable decisions to maximize the company profits while also fulfilling market demands.

• 한국도로학회논문집
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• 제11권1호
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• pp.13-24
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• 2009

본 연구에서는 콘크리트의 건조수축을 저감시키며 강도와 내구성을 높임과 동시에 콘크리트의 주간 태양광에 의한 반사도를 줄인 저수축, 저반사, 고강도, 고내구성, 콘크리트 포장재료를 개발하였다. 문헌조사를 바탕으로 건조수축 저감과 장기강도 발현에 효과가 있는 플라이 애쉬와 반사도를 저감시키기 위하여 검은색 안료를 넣고 강도와 내구성을 좋게 하기 위해 최적입도를 고려하여 배합설계를 하였다. 실내실험을 통해 검은색 안료의 첨가율에 따른 명암값과 반사율은 차이가 없는 것으로 나타났으며 최적입도를 고려하면 강도와 내구성에서 좋은 것으로 평가되었다. 또한 플라이 애쉬를 사용한 배합이 건조수축 저감에 효과가 있었으며 염화이온 침투 저항성도 높은 것으로 드러났다. 플라이 애쉬(25% 치환)와 검은색 안료(3% 첨가)를 넣고 최적입도를 고려한 배합이 건조수축과 반사율 저감, 강도와 내구성 향상에 가장 적합한 배합으로 판단하였다. 경제성 분석을 통하여 일반 콘크리트 포장보다 저수축 저반사 고강도 고내구성 콘크리트 포장이 초기공사비는 많은 것으로 분석되었지만 장기적인 관점에서 유지보수비용과 사회비용 감소로 인하여 경제성으로 타당한 것으로 나타났다.