• Title/Summary/Keyword: money values

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Tearing Test for Automotive Vibroisolating Rubber and Formulation of Tearing Energy (자동차용 방진고무의 찢김시험 및 찢김에너지 정식화)

  • Moon, Hyung-Il;Kim, Heon Young;Kim, Min Gun;Kim, Ho
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.36 no.12
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    • pp.1669-1674
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    • 2012
  • A commonly analytical estimation of fatigue life on rubber components is using fatigue life equation based on various fatigue test results. However, such method has very restricted applicability in actual designing processes because performing fatigue tests requires a lot of time and money. In addition, non-standard rubber materials and their randomness make it hard to make databases. In this paper, the other fatigue life estimation method using tearing energy was suggested. We performed static and dynamic tearing test about automotive vibration rubber materials and a finite element formulation using a virtual crack to calculate the tearing energy of rubber components with complicated shapes. To using the suggested method, fatigue life of an automotive motor mount has been estimated and verified the reliability of this method by using comparison between the estimated values and the actual fatigue life.

A Study on the Optimal Loan Limit Management Using the Newsvendor Model (뉴스벤더 모델을 이용한 최적 대출금 한도 관리에 관한 연구)

  • Sin, Jeong-Hun;Hwang, Seung-June
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.38 no.3
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    • pp.39-48
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    • 2015
  • In this study, granting the optimal loan limit on SME (Small and Medium Enterprise) loans of financial institutions was proposed using the traditional newsvendor model. This study was the first domestic case study that applied the newsvendor model that was mainly used to calculate the optimum order quantity under some uncertain demands to the calculation of the loan limit (debt ceiling) of institutions. The method presented in this study made it possible to calculate the loan limit (debt ceiling) to maximize the revenue of a financial institution using probability functions, applied the newsvendor model setting the order volume of merchandise goods as the loan product order volume of the financial institution, and proposed, through the analysis of empirical data, the availability of additional loan to the borrower and the reduction of the debt ceiling and a management method for the recovery of the borrower who could not generate profit. In addition, the profit based loan money management model presented in this study also demonstrated that it also contributed to some extent to the prediction of the bankruptcy of the borrowing SME (Small and Medium Enterprise), as well as the calculation of the loan limit based on profit, by deriving the result values that the borrowing SME (Small and Medium Enterprise) actually went through bankruptcy at later times once the model had generated a signal of loan recovery for them during the validation of empirical data. accordingly, The method presented in this study suggested a methodology to generated a signal of loan recovery to reduce the losses by the bankruptcy.

A Study on the implementation of the drape generation model using textile drape image (섬유 드레이프 이미지를 활용한 드레이프 생성 모델 구현에 관한 연구)

  • Son, Jae Ik;Kim, Dong Hyun;Choi, Yun Sung
    • Smart Media Journal
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    • v.10 no.4
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    • pp.28-34
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    • 2021
  • Drape is one of the factors that determine the shape of clothes and is one of the very important factors in the textile and fashion industry. At a time when non-face-to-face transactions are being activated due to the impact of the coronavirus, more and more companies are asking for drape value. However, in the case of small and medium-sized enterprises (SMEs), it is difficult to measure the drape, because they feel the burden of time and money for measuring the drape. Therefore, this study aimed to generate a drape image for the material property value input using a conditional adversarial neural network through 3D simulation images generated by measuring digital properties. A drape image was created through the existing 736 digital property values, and this was used for model training. Then, the drape value was calculated for the image samples obtained through the generative model. As a result of comparing the actual drape experimental value and the generated drape value, it was confirmed that the error of the peak number was 0.75, and the average error of the drape value was 7.875

TRACKING LIFT-PATHS OF A ROBOTIC TOWERCRANE WITH ENCODER SENSORS

  • Suyeul Park;Ghang, Lee;Joonbeom cho;Sungil Hham;Ahram Han;Taekwan Lee
    • International conference on construction engineering and project management
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    • 2009.05a
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    • pp.250-256
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    • 2009
  • This paper presents a robotic tower-crane system using encoder and gyroscope sensors as path tracking devices. Tower crane work is often associated with falling accidents and industrial disasters. Such problems often incur a loss of time and money for the contractor. For this reason, many studies have been done on an automatic tower crane. As a part of 5-year 23-million-dollar research project in Korea, we are developing a robotic tower crane which aims to improve the safety level and productivity. We selected a luffing tower crane, which is commonly used in urban construction projects today, as a platform for the robotic tower crane system. This system comprises two modules: the automated path planning module and the path tracking module. The automated path planning system uses the 3D Cartesian coordinates. When the robotic tower crane lifts construction material, the algorithm creates a line, which represents a lifting path, in virtual space. This algorithm seeks and generates the best route to lift construction material while avoiding known obstacles from real construction site. The path tracking system detects the location of a lifted material in terms of the 3D coordinate values using various types of sensors including adopts encoder and gyroscope sensors. We are testing various sensors as a candidate for the path tracking device. This specific study focuses on how to employ encoder and gyroscope sensors in the robotic crane These sensors measure a movement and rotary motion of the robotic tower crane. Finally, the movement of the robotic tower crane is displayed in a virtual space that synthesizes the data from two modules: the automatically planned path and the tracked paths. We are currently field-testing the feasibility of the proposed system using an actual tower crane. In the next step, the robotic tower crane will be applied to actual construction sites with a following analysis of the crane's productivity in order to ascertain its economic efficiency.

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The development of a textile design targeting Chinese consumers from Generation MZ (중국 MZ세대 소비자를 겨냥한 텍스타일 디자인 개발에 관한 연구)

  • Xinyue Qi;Chil Soon Kim;Chai Young Lee
    • The Research Journal of the Costume Culture
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    • v.31 no.4
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    • pp.558-571
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    • 2023
  • In recent years, young Chinese consumers have become more favorably inclined toward products relating to traditional culture. Therefore, this study aimed to develop a textile design that incorporates traditional Chinese patterns and cultural symbolism that will appeal to consumers from the MZ generation (millennials and Generation Z). Through a literature search for traditional Chinese patterns and symbols regarded as auspicious, our design concept and motives were established. We selected peony, lotus, and frog motifs as representative of a "wealth and eternal prosperity" design theme. In textile design work 1, we used hand drawing and watercolor techniques, color transformation with Adobe Photoshop, and colorway and end-use 3D simulation with TexPro. The 3D simulation work suggests that this textile pattern is suitable for women's outerwear, mufflers, and tote bags. Textile design work 2 conveyed the 'wealth and eternal prosperity' design theme and had a graceful mood that embodied the nobility of the lotus flower whilst also encompassing the symbolism of money and status. The end design is a modern reinterpretation of traditional Chinese patterns and motifs. As such, it is hoped that it will satisfy the needs of young consumers for cultural values yet offer a unique new aesthetic distinct from existing textile designs. These qualities can be expected to enhance the competitive market value of textiles bearing this design.

Ensemble deep learning-based models to predict the resilient modulus of modified base materials subjected to wet-dry cycles

  • Mahzad Esmaeili-Falak;Reza Sarkhani Benemaran
    • Geomechanics and Engineering
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    • v.32 no.6
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    • pp.583-600
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    • 2023
  • The resilient modulus (MR) of various pavement materials plays a significant role in the pavement design by a mechanistic-empirical method. The MR determination is done by experimental tests that need time and money, along with special experimental tools. The present paper suggested a novel hybridized extreme gradient boosting (XGB) structure for forecasting the MR of modified base materials subject to wet-dry cycles. The models were created by various combinations of input variables called deep learning. Input variables consist of the number of W-D cycles (WDC), the ratio of free lime to SAF (CSAFR), the ratio of maximum dry density to the optimum moisture content (DMR), confining pressure (σ3), and deviatoric stress (σd). Two XGB structures were produced for the estimation aims, where determinative variables were optimized by particle swarm optimization (PSO) and black widow optimization algorithm (BWOA). According to the results' description and outputs of Taylor diagram, M1 model with the combination of WDC, CSAFR, DMR, σ3, and σd is recognized as the most suitable model, with R2 and RMSE values of BWOA-XGB for model M1 equal to 0.9991 and 55.19 MPa, respectively. Interestingly, the lowest value of RMSE for literature was at 116.94 MPa, while this study could gain the extremely lower RMSE owned by BWOA-XGB model at 55.198 MPa. At last, the explanations indicate the BWO algorithm's capability in determining the optimal value of XGB determinative parameters in MR prediction procedure.

A Qualitative Study of Food Consumer Behavior Using the Means-end Chain Method - Illustrating Research into Swede's Perception on Asian Food - (연상네트워크기법(Means-end Chain method)을 이용한 식품소비자행동 질적 연구 - 스웨덴인의 아시아 음식 인식을 중심으로 -)

  • Lee, Kyung-Ran;Mengoni, Mariangela;Mayazi, Adja;Pehrsson, Anders
    • Journal of the Korean Society of Food Culture
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    • v.24 no.6
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    • pp.641-648
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    • 2009
  • The principal objective of this study was to analyze Swede's perceptions of Asian food using a means-end chain method, which may contribute to our understanding of new markets for a food industry interested in globalizing Korean food. With the Means-end chain method, one can determine the cognitive structures built in consumer's minds, which are developed by connecting attributes of product, consequences, and values. The attributes of Asian food that are most positively perceived by Swedes are 'fresh vegetables', 'low-fat', 'light meat and seafood', 'exotic ingredients', 'not expensive' and 'unknown food'. The consequences of eating Asian food connected to these attributes are 'healthy', 'tasty', 'good way to save money' and 'curious'. Finally, Swedes expect to enjoy a value of 'achievement' at the end. Based on the result that 'unknown food' attribute is connected to 'achievement' value, Swedes are assumed to be attracted by the fact that Korean food is 'unknown food'. However, the effect of the 'unknown food' attribute will fade away with time; therefore, stressing Korean food's status as a 'healthy' food, which can be attributed to its use of 'fresh vegetable' and 'light meat and seafood' ingredients and 'low fat' cooking method may be effective as a long-term strategy for making Korean food attractive. The 'healthy' consequence is connected to Swedes' perception of the value 'achievement' and simultaneously to their perception of the value 'belonging and love/sense of belonging'.

Economics of Literature: Transfer of 'Worth' to 'Value' (문학 경제학 -사용가치에서 교환가치로의 전이)

  • Yang, Byung-Hyun
    • Journal of English Language & Literature
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    • v.55 no.5
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    • pp.767-792
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    • 2009
  • The two fields, economics of art and literature, tend to be put together as part of cultural economic studies; yet the former has been widely popular as compared to the latter. Economics of art has been known as part of social science which studies art economically. Similarly, economics of literature is likely to be an interdisciplinary study of literature and economics. Literature is suggested usually to reflect the economic base of a society as a form of its superstructure in view of classical Marxism; so, it is interesting to see social, economic activities, such as individual values and social institutions, income, price and opportunity cost, in a particular way of analyzing economic ideas in literature. Capital seems to have an innate property of self-expansion in literature; this property thus features actual economic life since in capitalism money is the universal value between persons and literary works. Specifically, the field of economics of literature starts with such ideas: economics of literature is part of cultural economics; and economics of literature deals with the economic value of literature. Putting interdisciplinary fields of literature and economics together, this study is to examine the economic value of literature in which Karl Marx talked about commodities with exchange value, use value, and fetishism. The exchange value is commercial worth, the actual exchange value of a publication; yet, the use value is innate worth, the aesthetic use value of literature. With commodity fetishism, profit seems not as the outcome of a social relation, but of a work- "reification" as the would-be Marxists suggest. As a commodity, the literary work appears to be able to animate life and power in reality. As a result, this paper asserts that social, economical activities in literature as we may apply to the study of economics of literature increase its economic value, implying commercial and innate worth, as the capital in the marketplace.

Research on valuation of ecosystem services for water quality improvement using unmanned aerial vehicles -Focusing on Purchased land in Gwangdong-ri area, Gwangju city(Gyeonggi)- (무인항공기를 활용한 수질개선 생태계서비스 가치 평가 방안 연구 - 경기도 광주시 광동리 일원 매수토지를 중심으로 -)

  • Mun, Dong-Choel;Kil, Sung-Ho
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.27 no.1
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    • pp.1-16
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    • 2024
  • The riparian area plays a crucial role in maintaining the balance between the aquatic and terrestrial ecosystems. The Korean government has recognized the importance of protecting riparian areas and has taken steps to purchase land and create ecobelt to reduce non-point source pollutants(NSPs) that can negatively impact water quality. However, selecting the catchment area and calculating the pollution load can be challenging due to the small area of the purchased land and the limitations of low-resolution DEMs. To address these challenges, this study proposes the use of unmanned aerial vehicles(UAVs) to create a high-resolution DEM and calculate the pollution load through land cover analysis. This approach can provide a more accurate representation of the land use status and help to identify areas that are contributing to NSPs. The quantitative comparison of the difference in water quality improvement ecosystem services according to the scenarios of additional catchment areas shows that even land purchased for the same amount of money may have different ecosystem service values, and this was quantitatively calculated. This can be used to prioritize future land acquisition. Overall, this study's approach could provide valuable insights into the effectiveness of ecobelt in reducing NSPs and inform future efforts to protect riparian areas in Korea and beyond.

Agricultural tractor roll over protective structure (ROPS) test using simplified ROPS model

  • Ryu-Gap Lim;Young-Sun Kang;Dae-Hyun Lee;Wan-Soo Kim;Jun-Ho Lee;Yong-Joo Kim
    • Korean Journal of Agricultural Science
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    • v.49 no.4
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    • pp.771-783
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    • 2022
  • In this study, the feasibility of alternative tractor Roll Over Protective Structure (ROPS) designed to evaluate conditions required for testing was confirmed. In accordance with Organization for Economic Cooperation and Development (OECD) code 4, the required load energy of the tractor ROPS was determined. First, the tractor ROPS test was performed and a repeated test was performed using a simplified ROPS as an alternative tractor ROPS. The test procedure is first rearward, second lateral, and last forward based on ROPS. The load test device consists of a load cell that measures force and a LVDT that measures deformation. Precision was confirmed by calculating the relative standard deviation of the simplified ROPS repeated test. Accuracy was analyzed by calculating the mean relative error between the mean measured values in the simplified ROPS test and the tractor ROPS test. As a result, the relative standard deviation was less than 2.5% for force and 3.3% for maximum deformation overall, showed the highest precision in lateral load. The mean relative error value for force measured at the lateral load of simplified ROPS was 0.5%, showing the highest accuracy. In the front load test, the mean relative error of maximum deformation was 20.5%, showing the lowest accuracy. The mean relative error (MRE) was high in the forward load test was because of structural factors of the ROPS. The simplified ROPS model is expected to save money and time spent preparing tractors.