• Journal of the Korea Institute of Building Construction
• /
• v.22 no.6
• /
• pp.619-630
• /
• 2022

The concrete mix design and compressive strength evaluation are used as basic data for the durability of sustainable structures. However, the recent diversification of mixing factors has created difficulties in calculating the correct mixing factor or setting the reference value concrete mixing design. The purpose of this study is to design a predictive model of bidirectional analysis that calculates the mixing elements of ternary concrete using deep learning, one of the artificial intelligence techniques. For the DNN-based predictive model for calculating the concrete mixing factor, performance evaluation and comparison were performed using a total of 8 models with the number of layers and the number of hidden neurons as variables. The combination calculation result was output. As a result of the model's performance evaluation, an average error rate of about 1.423% for the concrete compressive strength factor was achieved. and an average MAPE error of 8.22% for the prediction of the ternary concrete mixing factor was satisfied. Through comparing the performance evaluation for each structure of the DNN model, the DNN5L-2048 model showed the highest performance for all compounding factors. Using the learned DNN model, the prediction of the ternary concrete formulation table with the required compressive strength of 30 and 50 MPa was carried out. The verification process through the expansion of the data set for learning and a comparison between the actual concrete mix table and the DNN model output concrete mix table is necessary.

• Proceedings of the Korea Concrete Institute Conference
• /
• 1998.10a
• /
• pp.262-268
• /
• 1998

This research is to examine the selected method of optimal mixing proportion and cost analysis in the super flowing concrete. As confined water $ratio($\beta_p$)$ and K is introduced, itis to establish optimal mixing design of super flowing concrete according to the steps of paste, mortar and concrete. From paste and mortar test, it was led to $$\beta_p$$ and $K_p$satisfying the optimum condions depending on the kinds of binders. Then $$\beta_p$$ and $K_p$ is reflected to the mix condition of super flowing concrete. The result of test, the mix condition of super flowing concrete satisfied the quality performance of concrete with adjustment of additional rate of the superplasticizer. Besides, in case of design strength $350kg/\textrm{cm}^2$ of concrete, material cost in super flowing concrete is able to be reduced 5~16% in replacement of fly ash 30% in ordinary portland cement and slag cement.

• Journal of Fashion Business
• /
• v.8 no.2
• /
• pp.91-101
• /
• 2004

This research classified fashion merchandisers into different categories depending on the type of companies they worked for and inquired into their line of work. In so doing, the authors attempted to outline the work for merchandise mix performed by each type of merchandiser and provide some raw data, which can be utilized to enhance their work efficiency. The evaluation tool used for this study was the questionnaire made on the basis of preceding studies, literature, and trade journals, which was then modified through one on one interviews with fashion merchandisers. The questionnaire contained 15 questions about merchandise mix. For data analysis, SPSS Package Program was used to conduct frequency analysis, ANOVA, and Tukey's test. The findings are as follows 1. National brand merchandisers spent most time on merchandise planning, then department store buyers, followed by imported brand merchandisers, and lastly buying office merchandisers. 2. In merchandise planning, National brand merchandisers did more work overall compared to other merchandisers. In production planning, buying office merchandisers spent more time than any others on searching for new suppliers and decision-making. 3. Production planning took up a greater portion of their work for National brand merchandisers and buying office merchandisers compared to department store buyers and imported brand merchandisers. 4. Imported brand merchandisers spent more time on purchase planning and actual purchase compared to any others.

• Journal of the Korea Concrete Institute
• /
• v.23 no.4
• /
• pp.487-494
• /
• 2011

In this research, the possibility of using bottom ash as a binder for the alkali-activated cement mortar is studied. Several experiments were performed to investigate the variation of the material properties according to the mix proportion. In the experimental program, the flowability and compressive strength were evaluated for various values of water/ash ratio, activator/ash ratio, sodium silicate to sodium hydroxide ratio, curing temperature, and the fineness of bottom ash as the main variables. The experimental results showed that high strength of 40 MPa or greater could be achieved in $60^{\circ}C$ high temperature curing condition with proper flowability. For $20^{\circ}C$ ambient temperature curing, the 28 days compressive strength of approximately 30MPa could be obtained although the early-age strength development was very slow. Based on the results, the range of optimized mix design of bottom-ash based alkali-activated cement mortar was suggested. In addition, using the artificial neural network analysis, the flowability and compressive strength were predicted with the difference in the mix proportion of the bottom-ash based alkali-activated cement mortar.

• Journal of the Korea Safety Management & Science
• /
• v.2 no.3
• /
• pp.141-150
• /
• 2000

This study aim is analysis device development for design of experiment with calcium chloride relation used a hardener to search cause of product crack, product reliability improvement building data-base program for computer system of mixture rate, product improvement, and new product development.

• Computers and Concrete
• /
• v.27 no.1
• /
• pp.63-71
• /
• 2021

In this study, a new stopping criterion, called "backward controlled stopping criterion" (BCSC), was proposed to be used in Genetic Algorithms. In the study, the available stopping citeria; adaptive stopping citerion, evolution time, fitness threshold, fitness convergence, population convergence, gene convergence, and developed stopping criterion were applied to the following four comparison problems; high strength concrete mix design, pre-stressed precast concrete beam, travelling salesman and reinforced concrete deep beam problems. When completed the analysis, the developed stopping criterion was found to be more accomplished than available criteria, and was able to research a much larger area in the space design supplying higher fitness values.

• Journal of Distribution Science
• /
• v.18 no.8
• /
• pp.47-54
• /
• 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.

• Journal of Distribution Science
• /
• v.20 no.4
• /
• pp.33-50
• /
• 2022

Purpose: This pilot study aims to conceptualize a new green marketing mix for retail consumers based on Stimulus-Organism-Response (SOR) model. Moreover, it also aims to conceptualize a testable research model of new green marketing mix with consumers' green purchasing behavior, and to validate the measurement model with traditional as well as modern suggested validating techniques. Research design, data and methodology: A pilot test data from 75 respondents of retail buyers of energy-efficient electric appliances in Pakistan were tested for the confirmatory factor analysis (CFA) by examining a measurement model of the construct through different validation techniques (like Composite Reliability, McDonald's Omega (ω), rho (ρA), HTMT, etc.) as heretofore these scales were not validated through these modern methods. Results: The results revealed that the instrument has a certain degree of reliability and validity through different validating techniques. All the measurement items reach the suggested threshold values. Conclusions: Therefore, this study conceptualized an integrated framework of all the three stakeholders of the environment (government, companies, and public or consumers) to achieve environmental sustainability. Hence, future studies can extend these findings and conduct a full-scale study to establish an empirical relationship between the 5G's of green marketing for retailing businesses and consumers' green purchase behavior.

• Journal of Information Technology Applications and Management
• /
• v.11 no.4
• /
• pp.35-47
• /
• 2004

The nuclear design analysis requires time-consuming and erroneous model-input preparation. code run. output analysis and quality assurance process. To reduce human effort and improve design quality and productivity. Innovative Design Processor (IDP) is being developed. Two basic principles of IDP are the document-oriented desigll and the web-based design. The document-oriented design is that. if the designer writes a design document called active document and feeds it to a special program. the final document with complete analysis. table and plots is made automatically. The active documents can be written with Microsoft Word or created automatically on the web. which is another framework of IDP. Using the proper mix-up of server side and client side programming under the LAMP (Linux/Apache/MySQL/PHP) environment. it e design process on the web is modeled as a design wizard style so that even a novice designer makes the design document easily. This automation using the IDP is now being implemented for all the reload design of Korea Standard Nuclear Power Plant (KSNP) type PWRs. The introduction of this process will allow large reduction in all reload design efforts of KSNP and provide a platform for design and R&D tasks of KNFC.

• International Journal of Highway Engineering
• /
• v.13 no.4
• /
• pp.211-220
• /
• 2011

TOD(Transit Oriented Development) has recently been active, which presents that TOD planning elements should be comprehensively taken into consideration in order to enhance domestic transit ridership by changing environments in rail station areas and an empirical analysis on the type of rail station areas and transportation demand should be a prerequisite for usage of future development planning. This study aims to grasp a variety of TOD of influence factors in Seoul rail station area and to perform analysis to identify relationship between public transportation demand and these TOD design factors. To make it come true, we gathered data with respect to Density, Diversity, and Accessibility as representative TOD planning elements and carried out factorial and regression analysis. Consequently, we drew 7 influence factors base on factorial analysis: Factor 1(Diversity/ -Use Mix(LUM)), Factor 2(Density/development density), Factor 3(Accessibility/public transportation facility supply), Factor 4(Design/street design), Factor 5(Green/access mode (pedestrian, bike), Factor 6(Design/subway size), Factor 7(Accessibility/Public transit operation) As the result of model development by using factorial and regression analysis, positive influence factors on passenger flow in rail station area are Factor 1(Diversity : Land-Use Mix), Factor 3(Accessibility : public transportation facility supply), Factor 2(Density : development density), Factor 5(Design/ access mode) and Factor 6(subway size) Next, negative influence factor on passenger flow in rail station area shows Factor 7(Accessibility/Public transit operation) as the most influential factor. This is because the growth of service interval of linked subway and bus leads to reduced demand.