• Advances in concrete construction
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• 제11권1호
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• pp.19-32
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• 2021

In the present experimental study, the high performance hybrid fiber reinforced concrete (HPHFRC) is prepared using the Modified Andreasen and Andersen (A&A) particle packing model. Total of 16 trial mixes of HPHFRC with Indian standard sand (SS) and natural river sand (NS) are prepared to achieve the selection criteria (flow percent>150 and compressive strength>80 MPa). Based on the flow percent and compressive strength criteria, the selected mixes evaluated to study the effect of usage of natural river sand (NS) and the expensive Indian standard sand (SS) on the mechanical, durability, and microstructure property of designed HPHFRC. It has been found that the Modified A&A model is reliable to design the mix for HPHFRC with excellent mechanical, durability, and microstructure properties. In addition to that, a moderate difference in the mechanical and durability properties of NS contained HPHFRC and SS contained HPHFRC is found. Based on the obtained results of NS contained HPHFRC, it can be concluded that the use of natural river sand (NS) can be successfully adopted for the production of HPHFRC, resulted in a reduction of the production cost without compromising the excellent performance of HPHFRC.

• 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.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2022년도 봄 학술논문 발표대회
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• pp.156-157
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• 2022

The purpose of this study is to propose a 40MPa mortar mixed design model that applies the neural network theory to minimize wasted effort in trial and error. A mixed design model was applied to each of the 60 data using fly ash, blast furnace slag fine powder and thickened rice husk powder. And in the neural network model, the optimized connection weight was obtained by repeatedly applying it to the MATLAB. The completed mixed design model was demonstrated by analyzing and comparing the predicted values of the mixed design model with those measured in the actual compressive strength test. As a result of the mixed design verification experiment, the error rates of the double mixed non-cement mortar using blast furnace slag fine powder and rice husk powder at a height of 40MPa were 3.24% and 3.4%. Mixed with fly ash and rice husk powder had an error rate of 3.94% and 5.8%. The error rate of the triple mixed non-cement mortar of the rice husk powder, fly ash, and blast furnace slag fine powder was 2.5% and 5.1%.

• 대한산업공학회지
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• 제20권3호
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• pp.151-166
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• 1994

The manufacturing environment on which this research is focused is an FMS in which AGVs are used for material handling and each part type has one or more process plans. The research aims at developing a methodology whereby, given a part and volume mix for production during any production session, the best set of process plans including one plan per part type is selected and the best unidirectional AGV guidepath can be dynamically reconfigured in response to changes in parts and lot sizes combination. For the integrated PPS/FGD problem in which two functions of process plan selection (PPS) and flexible AGV guidepath design (FGD) are integrated, a zero-one integer programming model is developed. The integrated problem is decomposed into two subproblems, process plan selection given a directed AGV layout and AGV guidepath design with a fixed process plan per part type. A heuristic algorithm that alternately and iteratively solves these two subproblems is developed. The effectiveness of the heuristic algorithm is tested by solving various randomly generated sample problems and comparing the heuristic solutions with those obtained by an exact procedure. From the test results, the following conclusions are drawn: 1) For a reasonable size problem, the heuristic is very effective. 2) By integrating the two functions of PPS and FGD, a remarkable benefit in total production time for a given part and volume mix is gained.

• 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.

• 유통과학연구
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• 제18권8호
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• pp.47-54
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• 2020

Purpose: Through strategic marketing, art galleries can help retain the artistic value in an extensively urbanized world and also provide a means to showcase aspirational messages that artworks attempt to portray. The purpose of the current study is to analyze a marketing strategy for an art gallery based on prior marketing theories. Research design, data and methodology: Scant research is available to guide regarding what elements of marketing theories should be applied to accomplish customer satisfaction in an art gallery business plan. Thus, the present authors suggest more specific marketing strategy using four traditional marketing theories for practitioners who conduct business planning strategy in an art gallery. Results: The current study suggests the synthesized model for a successful business plan of an art gallery and figured out that two distinctive segments through marketing mix and SWOT analysis are ideal because it would be easier to meet visitors' aesthetic tastes while still meeting organizational objectives. Conclusions: As all other businesses, art galleries have to adapt to survive by innovating some of the components of the marketing mix to create a competitive advantage. It also requires a strategy for that combines targeting and segmenting with the incorporation of the marketing mix to attain competitiveness.

• Computers and Concrete
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• 제19권6호
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• pp.737-744
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• 2017

Geopolymer Concrete is typically proportioned with activator solution leading to moderately high material cost. Such cost can be enduring in high value added applications especially when cost savings can be recognized in terms of reduction in size of the members. Proper material selection and mix proportioning can diminish the material cost. In the present investigation, a total of 27 mixes were arrived considering the mix parameters as liquid-binder ratio, slag content and sodium hydroxide concentration to study the mechanical properties of geopolymer concrete (GPC) mixes such as compressive strength, split tensile strength and flexural strength. The derived statistical Response Surface Methodology is beleaguered to develop cost effective GPC mixes. The estimated responses are not likely to contrast in linear mode with selected variables; a plan was selected to enable the model of any response in a quadratic manner. The results reveals that a fair correlation between the experimental and the predicted strengths.

• Computers and Concrete
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• 제7권3호
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• pp.221-237
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• 2010

In this study 72 different high strength concrete (HSC) mixes were produced according to the Taguchi design of experiment method. The specimens were divided into four groups based on the range of their compressive strengths 40-60, 60-80, 80-100 and 100-125 MPa. Each group included 18 different concrete mixes. The slump and air-content values of each mix were measured at the production time. The compressive strength, splitting tensile strength and water absorption properties were obtained at 28 days. Using this data the Genetic Programming technique was used to construct models to predict mechanical properties of HSC based on its constituients. These models, together with the cost data, were then used with a Genetic Algorithm to obtain an HSC mix that has minimum cost and at the same time meets all the strength and workability requirements. The paper describes details of the experimental results, model development, and optimization results.

• 패션비즈니스
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• 제21권6호
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• pp.1-15
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• 2017

This study examines the various responses of Chinese consumers, depending on the nationality of the fashion advertising model featured in an advertisement; it explores the effects of a congruence between self-image and advertising image (CSIAI) on consumer attitudes. This study was conducted by collecting data online; 200 samples selecting a Korean model and 200 samples selecting a Chinese model with a fashion brand were analyzed. A structural equation model confirms the conceptual framework for the influence of CSIAI on consumer attitudes and purchase intentions. The results show that the perceived CSIAI of consumers positively influences their attitude toward the advertising and the brand, and further, that advertising and brand attitudes significantly affect the purchase intention of consumers. This positive relationship is moderated by the nationality of the model. These findings suggest that the nationality of the model can serve as an important retail mix for global marketers. Other results and management implications are also discussed.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2022년도 가을 학술논문 발표대회
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• pp.57-58
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• 2022

Concrete mix design is used as essential data for the quality of concrete, analysis of structures, and stable use of sustainable structures. However, since most of the formulation design is established based on the experience of experts, there is a lack of data to base it on. are suffering Accordingly, in this study, the purpose of this study is to build a predictive model to use the concrete mixing factor as basic data for calculation using the DNN technique. As for the data set for DNN model learning, OPC and ternary concrete data were collected according to the presence or absence of admixture, respectively, and the model was separated for OPC and ternary concrete, and training was carried out. In addition, by varying the number of hidden layers of the DNN model, the prediction performance was evaluated according to the model structure. The higher the number of hidden layers in the model, the higher the predictive performance for the prediction of the mixing elements except for the compressive strength factor set as the output value, and the ternary concrete model showed higher performance than the OPC. This is expected because the data set used when training the model also affected the training.