• Title/Summary/Keyword: Value engineering methodology

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Visual Access Opportunity Analysis of Neighborhood Park Users using Space Syntax Theory - Focused on Cheongju City - (공간구문론을 이용한 근린공원 시각적 접근기회 분석- 청주시를 중심으로 -)

  • Lee, Tae-Ho;Ban, Yong-Un;Yoo, Nam-Hoon
    • Journal of the Korean Institute of Landscape Architecture
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    • v.39 no.4
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    • pp.28-38
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    • 2011
  • This study analyzes the visual access opportunities of neighborhood park users using the Space Syntax theory. In order to achieve this goal, 27 neighborhood parks were selected and 27 axial maps drawn according to the spatial configuration of the sites. Based on the axial map data, this study has calculated some specific space syntax indices, including Connectivity, Integration, and Intelligibility using the Axwoman ver 3.0 based on the Arcview 3.2 application. The value of the representative indices were used to examine visual access opportunities presented by the parks. This study was conducted in two aspects: one focusing on the entire space and another focusing on only the main entrance of the parks. The former used integration and intelligibility values and the latter used connectivity and integration values to evaluate the visual access opportunities of the sites. As a result, this study found that some parks, including Joongang, Balsan, and Sangdang, have high visual access opportunities in terms of the spatial configuration surrounding the park, which shows an integration value higher than 2, and also having intelligibility values higher than 0.7. This is the result of the grid land use pattern surrounding the parks and the straight roads that are closely linked to the main entrances of the parks. It is expected that this methodology and results will be used for locating neighborhood parks during the urban planning stage as providing reasonable evidence.

Three Dimensional Curvature Analysis of Femoral Shaft Bowing based on CT Images (CT 영상을 이용한 대퇴체부 휨의 3차원적 곡률 분석)

  • Lim, Ki Seon;Oh, Wang Kyun;Lee, Tae Soo
    • Journal of the Korean Society of Radiology
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    • v.7 no.5
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    • pp.313-320
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    • 2013
  • For some patients with joint illnesses such as rheumarthritis or varus deformity, the total knee arthroplasty (TKA) procedures are performed. However, when inserting metal cutting guide for the procedures, due to the femoral shaft bowing, complications such as the cortex of the femoral shaft damages or secondary fractures can be caused. If the central coordinate value of the femoral shaft is known, the metal cutting guide could be inserted into the anatomical center, so such complications can be prevented. In this study, CT images of femoral shafts of 10 individuals in the experiment group who are in need of receiving the total knee arthroplasty procedures and those of 10 individuals in the control group without illness in the femoral shaft have been utilized to locate the 3-dimensional coordinate values. Then, Matlab was utilized to identify the central coordinate value in order to obtain a graph reflecting the anatomical shapes as well as to acquire the 3-dimensional radial curvature values by section. As a result, the average curvature range and standard deviation of femoral shafts of the experiment group was determined to be $758.15{\pm}206.3mm$ whereas the that of the control group was determined to be $1672.97{\pm}395.6mm$. The statistical significance of the measured results was verified through f-distribution analysis. Based on these results, it was verified that the level of curvature of the femoral shaft of the experiment group was higher. If the anatomical central points are located and analyzed using this methodology, it would be helpful in performing orthopedic operations such as the total knee arthroplasty.

Quality Characteristics of Black Rice Cookies as Influenced by Content of Black Rice Flour and Baking Time (흑미의 배합비와 굽기시간에 따른 흑미쿠키의 품질특성)

  • Kim, Yang-Sun;Kim, Gyeong-Hwa;Lee, Jun-Ho
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.35 no.4
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    • pp.499-506
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    • 2006
  • Response surface methodology was used to investigate the cookie manufacturing process with black rice flour. A three- variable, three-level central composite design was employed where the independent variables were the amount of black rice flour ($0{\sim}20%$), baking time ($10{\sim}14 min$), and sugar type (sucrose, aspartame and oligosaccarides). pHs of dough and cookie tended to increase with the addition of black rice flour. Moisture content of dough slightly increased with tile addition of black rice flour but nearly affected by baking time. Spread factor increased with the addition of black rice flour and it was more evident in the samples prepared with sucrose. L*-value decreased but a*-value increased significantly with the addition of black rice flour. Generally the amount of black rice flour in the sample did not affect the textural characteristics of cookie. As the amount of black rice and baking time increased, sensory flavor became stronger. Sensory sweetness as well as hardness increased but sensory color became darker with the addition of black rice flour. In addition, the response surface models developed in this study for most of physicochemical and sensory characteristics of black rice cookie were adequate.

Prediction of Temperature and Heat Wave Occurrence for Summer Season Using Machine Learning (기계학습을 활용한 하절기 기온 및 폭염발생여부 예측)

  • Kim, Young In;Kim, DongHyun;Lee, Seung Oh
    • Journal of Korean Society of Disaster and Security
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    • v.13 no.2
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    • pp.27-38
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    • 2020
  • Climate variations have become worse and diversified recently, which caused catastrophic disasters for our communities and ecosystem including economic property damages in Korea. Heat wave of summer season is one of causes for such damages of which outbreak tends to increase recently. Related short-term forecasting information has been provided by the Korea Meteorological Administration based on results from numerical forecasting model. As the study area, the ◯◯ province was selected because of the highest mortality rate in Korea for the past 15 years (1998~2012). When comparing the forecasted temperatures with field measurements, it showed RMSE of 1.57℃ and RMSE of 1.96℃ was calculated when only comparing the data corresponding to the observed value of 33℃ or higher. The forecasting process would take at least about 3~4 hours to provide the 4 hours advanced forecasting information. Therefore, this study proposes a methodology for temperature prediction using LSTM considering the short prediction time and the adequate accuracy. As a result of 4 hour temperature prediction using this approach, RMSE of 1.71℃ was occurred. When comparing only the observed value of 33℃ or higher, RMSE of 1.39℃ was obtained. Even the numerical prediction model of the whole range of errors is relatively smaller, but the accuracy of prediction of the machine learning model is higher for above 33℃. In addition, it took an average of 9 minutes and 26 seconds to provide temperature information using this approach. It would be necessary to study for wider spatial range or different province with proper data set in near future.

Real Option Analysis to Value Government Risk Share Liability in BTO-a Projects (손익공유형 민간투자사업의 투자위험분담 가치 산정)

  • KU, Sukmo;LEE, Sunghoon;LEE, Seungjae
    • Journal of Korean Society of Transportation
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    • v.35 no.4
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    • pp.360-373
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    • 2017
  • The BTO-a projects is the types, which has a demand risk among the type of PPP projects in Korea. When demand risk is realized, private investor encounters financial difficulties due to lower revenue than its expectation and the government may also have a problem in stable infrastructure operation. In this regards, the government has applied various risk sharing policies in response to demand risk. However, the amount of government's risk sharing is the government's contingent liabilities as a result of demand uncertainty, and it fails to be quantified by the conventional NPV method of expressing in the text of the concession agreement. The purpose of this study is to estimate the value of investment risk sharing by the government considering the demand risk in the profit sharing system (BTO-a) introduced in 2015 as one of the demand risk sharing policy. The investment risk sharing will take the form of options in finance. Private investors have the right to claim subsidies from the government when their revenue declines, while the government has the obligation to pay subsidies under certain conditions. In this study, we have established a methodology for estimating the value of investment risk sharing by using the Black - Scholes option pricing model and examined the appropriateness of the results through case studies. As a result of the analysis, the value of investment risk sharing is estimated to be 12 billion won, which is about 4% of the investment cost of the private investment. In other words, it can be seen that the government will invest 12 billion won in financial support by sharing the investment risk. The option value when assuming the traffic volume risk as a random variable from the case studies is derived as an average of 12.2 billion won and a standard deviation of 3.67 billion won. As a result of the cumulative distribution, the option value of the 90% probability interval will be determined within the range of 6.9 to 18.8 billion won. The method proposed in this study is expected to help government and private investors understand the better risk analysis and economic value of better for investment risk sharing under the uncertainty of future demand.

Biological Constraints in Algal Biotechnology

  • Torzillo, Giuseppe;Pushparaj, Benjamin;Masojidek, Jiri;Vonshak, Avigad
    • Biotechnology and Bioprocess Engineering:BBE
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    • v.8 no.6
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    • pp.338-348
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    • 2003
  • In the past decade, considerable progress has been made in developing the appropriate biotechnology for microalgal mass cultivation aimed at establishing a new agro-industry. This review points out the main biological constraints affecting algal biotechnology outdoors and the requirements for making this biotechnology economically viable. One of them is the availability of a wide variety of algal species and improved strains that favorably respond to varying environmental conditions existing outdoors. It is thus just a matter of time and effort before a new methodology like genetic engineering can and will be applied in this field as well. The study of stress physiology and adaptation of microalgae has also an important application in further development of the biotechnology for mass culturing of microalgae. In outdoor cultures, cells are exposed to severe changes in light and temperature much faster than the time scale re-quired for the cells to acclimate. A better understanding of those parameters and the ability to rapidly monitor those conditions will provide the growers with a better knowledge on how to optimize growth and productivity. Induction of accumulation of high value products is associated with stress conditions. Understanding the physiological response may help in providing a better production system for the desired product and, at a later stage, give an insight of the potential for genetic modification of desired strains. The potential use of microalgae as part of a biological system for bioremediation/detoxification and wastewater treatment is also associated with growing the cells under stress conditions. Important developments in monitoring and feedback control of the culture behavior through application of on-line chlorophyll fluorescence technique are in progress. Understanding the process associated with those unique environmental conditions may help in choosing the right culture conditions as well as selecting strains in order to improve the efficiency of the biological process.

Adsorption Characteristics of Sr Ions by Coal Fly Ash-Based-Zeolite X using Response Surface Modeling Approach (반응표면분석법을 이용한 석탄회로 합성한 제올라이트 X에서의 Sr 이온 제거특성)

  • Lee, Chang-Han;Kam, Sang-Kyu;Lee, Min-Gyu
    • Journal of Environmental Science International
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    • v.26 no.6
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    • pp.719-728
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    • 2017
  • In order to investigate the adsorption characteristics for Sr ion using the Na-X zeolite synthesized from coal fly ash, batch tests and response surface analyses were carried out. The adsorption kinetic data for Sr ions, using Na-X zeolite, fitted well with the pseudo-second-order model. The uptake of Sr ions followed the Langmuir isotherm model, with a maximum adsorption capacity of 196.46 mg/g. Thermodynamic studies were conducted at different reaction temperatures, with the results indicating that Sr ion adsorption by Na-X zeolite was an endothermic (${\Delta}H^o$>0) and spontaneous (${\Delta}G^o$<0) process. Using the response surface methodology of the Box-Behnken method, initial Sr ion concentration ($X_1$), initial temperature ($X_2$), and initial pH ($X_3$) were selected as the independent variables, while the adsorption of Sr ions by Na-X zeolite was selected as the dependent variable. The experimental data fitted well with a second-order polynomial equation by multiple regression analysis. The value of the determination coefficient ($R^2=0.9937$) and the adjusted determination coefficient (adjusted $R^2=0.9823$) was close to 1, indicating high significance of the model. Statistical results showed the order of Sr removal based on experimental factors to be initial pH > initial concentration > temperature.

Analysis on Scale Effects to Hydraulic Conductivities in Crystalline Rock (결정질암체의 수리전도도에 대한 규모종속에 관한 분석)

  • 박동극
    • The Journal of Engineering Geology
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    • v.4 no.1
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    • pp.13-28
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    • 1994
  • Hydrogeologic characteristics of crystalline rock including discontinuities is defined by the hydraulic data from the in situ test and by analytical method. Methodology and procedure of the in situ test are used in accordance with test purpose, site condition and characteristics of host rock Hydraulic conductivities in crystalline rock including discontinuifies such as fractured zone and joint, are defined by packer test and slug test. The results indicate Hvorslev' s theory of ground water flow in NX borehole, that the shorter of test interval is, the higher hydraulic conductivity is. This is an indicafion of the fact that the hydraulic rneasured were governed by scale effect of test interval, even at same borehole. According to the result of packer tests in two boreholes, it is understood that hydraulic conductivifies show variations according to the effect of as order of tests. In the comparison of hydraulic conductivifies from both of open borehole tests, the results are relatively well correrated in values. The hydraulic conductivity in the test intervals induding hydrogeologically significant discontinuity shows relatively higher value of hydraulic conductivity in vertical distribution of full depth.

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Optimization of Passenger Safety Restraint System for USNCAP by Response Surface Methodology (USNCAP에 대응하는 반응표면법을 이용한 조수석 안전구속장치 최적화)

  • Oh, Eun-Kyung;Lee, Ki-Sun;Son, Chang-Kyu;Kim, Dong-Seok;Chae, Soo-Won
    • Transactions of the Korean Society of Automotive Engineers
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    • v.22 no.6
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    • pp.1-8
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    • 2014
  • Safety performance of a new car is evaluated through USNCAP and their results in the star rating are provided to the consumers. It is very important to obtain high score of USNCAP to appeal their performance to consumers. Therefore the car companies have made the effort to improve their car safety performance. These efforts should satisfy the demand not only to get high score but also to pass the FMVSS, NHTSA regulations on safety. Huge numbers of car crash tests have been conducted on these bases by car companies. However physical tests spend too much cost and time, as an alternative way, the simulation on the car crash could be a solution to reduce the cost and time. Therefore the simulations have been widely conducted in car industry and various researches on this have been reported. In this study, restraint system had been optimized to minimize the injury of female passenger. Belted $5^{th}%ile$ female frontal crash test was selected from various test methods of USNCAP for the study. Initial velocity of the test was 56km/h. The combination injury probability of USNCAP was selected as an objective function and the injury limit value, which was defined in FMVSS, was set to an optimization constraint. Many researches that were similar to this study had been conducted, however most of them had limitation that interaction between airbag and safety belt had not been considered. Contrary to these researches, the interaction was considered in this study.

A Study on the Risk Identification Methods for Initial and Mass Production Stage of Military Products Using FMEA (FMEA를 활용한 군수품 초도 생산 및 양산 단계의 위험 식별 방안 연구)

  • Lee, Chang Hee;Yang, Kyung Woo;Park, Du Il;Lee, Il Lang;Kwon, Jun Sig;Choe, Il Hong;Kim, Sang Boo
    • Journal of Korean Society for Quality Management
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    • v.42 no.3
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    • pp.311-324
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    • 2014
  • Purpose: It can deduce improvement plan that recognizes any risk factors in initial production and mass production by using FMEA and through this process, the appropriate criteria for defence items can be established. Methods: It proposes two methodology - Apply DT/OT data achieved from the beginning mass production stage based on FMECA data of the design stage, to risk management, and risk management plan that reflected line and field faliure data in case of is offered. Results: It proposes the risk management plan through Bayesian method and the risk identification that considered MTTF estimated value in case of initial production process. In case of mass production process, both risk identification by using fault occurrence frequency scores and Byaesian method, In case of the Initial production and mass production, it proposes use both two methods. Conclusion: A more realistic risk identification method can be applied, and by this method the quality improvement effect is expected.