• Journal of Home Health Care Nursing
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• v.7 no.1
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• pp.26-38
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• 2000

The purpose of this study was to estimate home care nursing cost for the patient with Cerebrovascular Disease based on a bundle of home care nursing services This study was conducted through four steps. The first step was to investigate home care nursing activities that were offered to the patient with Cerebrovascular Disease(CD) by home care nurse. The second step was to investigate the time spent on home care nursing service and to calculate labor and manufacturing cost. The third step was to calculate home care nursing cost per minute. And at the fourth step, home care nursing cost for a patient with Cerebrovascular Disease based on a bundle of home care nursing service was calculated. The results of the study were as follows: 1) The number of direct home care nursing activities for the patient with CD was 108, and the time of each activity was spent from 1 to 10 minutes. 2) Average time per visit was 51 minute, and the firs visit time were spent 1.6 times higher than 2nd visit time. 3) Nursing cost per minute(cost per visit ${\\}\;22,565\;\div\;$ average time per visit 51 minutes) was ${\\}\;442$. The cost per visit was calculated on Basic visiting cost(nurse's labor cost ${\\}\;15,760$ + management cost ${\\}\;6,805$) divided by average time per visit(51 minutes). 4) Home care nursing cost to the patient with CD based on bundle of home care nursing service was consisted of basic home care nursing cost, the cost of a bundle of service practiced on visit. and transportation fee. Basic home nursing cost(the time spent on basic home nursing service 20 minutes ${\times}$ nursing cost per minute ${\\}\;442$) was ${\\}\;8,840$. The cost of the bundle of home care nursing services to the patient with CD was calculated as self care ${\\}\;2.898$, Tracheostomy care ${\\}\;10,166$, immobility care ${\\}\;6,188$, sore care ${\\}\;6,188$. Foley care ${\\}\;6,630$, and Levin tube or Gastrostomy care ${\\}\;7.514$. Transportation fee which was composed of the labor cost for transportation(${\\}\;5,122$) and the car management cost(${\\}\;3.876$) was ${\\}\;8,998$. Home care nursing cost to the patient with CD based on bundle of home care nursing services consisted of basic home care nursing cost, the cost of a bundle of service practiced on visit, and transportation fee. It will contribute to improve quality of home care service, because of giving appreciate incentives to home care nurses. And it will be more efficient than current cost of hospital based home care. But it need to management than calculation of the current fee-for-services of home care.

• The Korean Journal of Applied Statistics
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• v.35 no.3
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• pp.407-419
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• 2022

The semiconductor fabrication process is complex and time-consuming. There are sometimes errors in the process, which results in defective die on the wafer bin map (WBM). We can detect the faulty WBM by finding some patterns caused by dies. When one manually seeks the failure on WBM, it takes a long time due to the enormous number of WBMs. We suggest a two-step approach to discover the probable pattern on the WBMs in this paper. The first step is to separate the normal WBMs from the defective WBMs. We adapt a hierarchical clustering for de-noising, which nicely performs this work by wisely tuning the number of minimum points and the cutting height. Once declared as a faulty WBM, then it moves to the next step. In the second step, we classify the patterns among the defective WBMs. For this purpose, we extract features from the WBM. Then machine learning algorithm classifies the pattern. We use a real WBM data set (WM-811K) released by Taiwan semiconductor manufacturing company.

• Korean Journal of Soil Science and Fertilizer
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• v.47 no.6
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• pp.457-463
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• 2014

This study was carried out to find out major factors to mitigate carbon emission using Life Cycle Assessment (LCA). System boundary of LCA was confined from sowing to packaging during vegetable production. Input amount of agri-materials was calculated on 2007 Income reference of white radish, chinese cabbage and chive produced at open field and film house published by Rural Development Administration. Domestic data and Ecoinvent data were used for emission factors of each agri-material based on the 1996 IPCC guideline. Carbon footprint of white radish was 0.19 kg $CO_2kg^{-1}$ at open fields, 0.133 kg $CO_2kg^{-1}$ at film house, that of chinese cabbage was 0.22 kg $CO_2kg^{-1}$ at open fields, 0.19 kg $CO_2kg^{-1}$ at film house, and that of chive was 0.66 kg $CO_2kg^{-1}$ at open fields and 1.04 kg $CO_2kg^{-1}$ at film house. The high carbon footprint of chive was related to lower vegetable production and higher fuel usage as compared to white radish and Chinese cabbage. The mean proportion of carbon emission was 35.7% during the manufacturing byproduct fertilizer; white radish at open fields was 50.6%, white radish at film house 13.1%, Chinese cabbage at outdoor 38.4%, Chinese cabbage at film house 34.0%, chive at outdoor 50.6%, and chive at film house 36.0%. Carbon emission, on average, for the step of manufacturing and combustion accounted for 16.1% of the total emission; white radish at open fields was 4.3%, white radish at film house 15.6%, Chinese cabbage at open fields 6.9%, Chinese cabbage at film house 19.0%, chive at open fields 12.5%, and chive at film house 29.1%. On the while, mean proportion of carbon footprint for the step of $N_2O$ emission was 29.2%; white radish at open fields was 39.2%, white radish at film house 41.9%, Chinese cabbage at open fields 34.4%, Chinese cabbage at film house 23.1%, chive at open fields 28.8%, and chive at film house 17.1%. Fertilizer was the primary factor and fuel was the secondary factor for carbon emission among the vegetables of this study. It was suggested to use Heug-To-Ram web-service system, http://soil.rda.go.kr, for the scientific fertilization based on soil testing, and for increase of energy efficiency to produce low carbon vegetable.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.34 no.2
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• pp.119-124
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• 2001

In Conventional process, sugaring and seasoning step were combined during seasoning process of Changran-Jeotgal. While, in the case of Improved process, sugaring and seasoning step were separated and agitation was employed in order to control moisture content and improve taste. The addition of $20\%$ of corn syrup and agitation with 10 rpm for 4 hours at $20^{\circ}C$ were carried out to optimize the seasoning process in Changran-Jeotgal. From above results, quality estimation of Changran-Jeotgal manufacturing process, such as chemical and microbiological changes, there were little difference for salinity, pH, VBN value, crude fat and crude protein between Improved process and Conventional one, However water activity of Changran-Jeotgal produced by the Improved process was lower with 0.82 than that of Conventional one with 0.90. And the sensory evaluation showed that Improved process produced more favorable products; By regional groups, Seoul residents favored them more than Busan ones and by age, teen-aged like them best.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.34 no.2
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• pp.114-118
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• 2001

In manufacturing process of Changran-Jeotgal, agitation with 10 rpm for 10 min/4 hrs of Changran-Jeotgal without released extract was carried out during the fermented process at $0\pm2^{\circ}C$ to shorten the fermentation period and uniform product quality, This step was called Improved process, while the step with release extract and standing fermentation was Conventional process. During 60 days of fermentation period, chemical, microbiological changes and sensory evaluation were examined, Brix, VBN and $NH_2-N$ were 27.4, $54.3\;mg\%\;and\;87.9 mg\%$ on 30th day in Improved process, respectively, but they were 27.1, $57.8\;mg\%\;and\;96.6\;mg\%$ on 50th day in Conventional process. The pH value was decreased from 7.0 to $\6.3\~6.5$ in both of them, The viable cell counts in Improved process was increased from $6.6\times10^3CFU/g\;to\;2.6\times10^6CFU/g$ during 30 days, in Conventional process, slowly increased from $5.8\times10^3CFU/g\;to\;1.9\times10^6CFU/g$ during 50 days. Sensory evaluation showed that products on 30th day in Improved process and products on 50th day in Conventional process were best favorable. From above results, we found that the fermentation with agitation shortened the fermentation period by 20 days compare to standing fermentation.

• Journal of the Korean Institute of Gas
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• v.18 no.1
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• pp.46-51
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• 2014

The purpose of this paper is to study of the vehicle lamp manufacturing system composing ultrasonic waves connection process. Making lamp assembly plant, it was produced in the separate process as the injection molding, ultrasonic waves bonding, annealing in the constant temperature, lamp assembling and packing. But the improvement method producing the lamp was added with one-step process by one automation technique. As a result, welding with ultrasonic waves process, the method decreased the energy consumption and noise during ultrasonic waves welding. Therefore, this method used the mathematics modeling for checking validity, it selected the stability and suitable controller using transfer function of plant and bode chart. In this study, the $180^{\circ}$ revolution control system to turn injection part upside down was $M_{eq}\;lcos{\theta}(t)$ because of gravity influence. It effected to unstable condition a system. For solving this problem, it aimed the linearization and stabilization of system by elimination $M_{eq}\;lcos{\theta}(t)$ as applying Free-forward control technique.

• Journal of Biomedical Engineering Research
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• v.27 no.6
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• pp.418-426
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• 2006

In the artificial heart application, productivity and hemodynamic properties of artificial heart valves are crucial in successiful application to long term in vivo trials. This paper is about manufacture and assessment of trileaflet polymer heart valves using vacuum forming process(VFP). The VFP has many advantages such as reduced fabrication time, reproducibility due to relatively easy and simple process for manufacturing. Prior to VFP of trileaflet polymer heart valves, polyurethane(Pellethane 2363 80AE, Dow Chemical) sheet was prepared by extrusion. The sheets were heated and formed to mold shape by vacuum pressure. The vacuum formed trileaflet polymer heart valves fabrication is composed of two step method, first, leaflet forming and second, conduit forming. This two-step forming process made the leaflet-conduit bonding stable with any organic solvents. Hydrodynamic properties and hemocompatibility of the vacuum formed trileaflet polymer heart valves was compared with sorin bicarbon bileaflet heart valve. The percent effective orifice area of vacuum formed trileaflet polymer heart valves was inferior to bileaflet heart valve, but the increase of plasma free hemoglobin level which reflect blood damage was superior in vacuum formed trileaflet polymer heart valves Vacuum formed trileaflet polymer heart valves has high productivity, and superior hemodynamic property than bileaflet heart valves. Low manufacturing cost and blood compatible trileaflet polymer heart valves shows the advantages of vacuum forming process, and these results give feasibility in in vivo animal trials in near future, and the clinical artificial heart development program.

• Proceedings of the Korean Vacuum Society Conference
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• 2012.02a
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• pp.239-240
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• 2012

With advancements in semiconductor device technologies, manufacturing processes are getting more complex and it became more difficult to maintain tighter process control. As the number of processing step increased for fabricating complex chip structure, potential fault inducing factors are prevail and their allowable margins are continuously reduced. Therefore, one of the key to success in semiconductor manufacturing is highly accurate and fast fault detection and classification at each stage to reduce any undesired variation and identify the cause of the fault. Sensors in the equipment are used to monitor the state of the process. The idea is that whenever there is a fault in the process, it appears as some variation in the output from any of the sensors monitoring the process. These sensors may refer to information about pressure, RF power or gas flow and etc. in the equipment. By relating the data from these sensors to the process condition, any abnormality in the process can be identified, but it still holds some degree of certainty. Our hypothesis in this research is to capture the features of equipment condition data from healthy process library. We can use the health data as a reference for upcoming processes and this is made possible by mathematically modeling of the acquired data. In this work we demonstrate the use of recurrent neural network (RNN) has been used. RNN is a dynamic neural network that makes the output as a function of previous inputs. In our case we have etch equipment tool set data, consisting of 22 parameters and 9 runs. This data was first synchronized using the Dynamic Time Warping (DTW) algorithm. The synchronized data from the sensors in the form of time series is then provided to RNN which trains and restructures itself according to the input and then predicts a value, one step ahead in time, which depends on the past values of data. Eight runs of process data were used to train the network, while in order to check the performance of the network, one run was used as a test input. Next, a mean squared error based probability generating function was used to assign probability of fault in each parameter by comparing the predicted and actual values of the data. In the future we will make use of the Bayesian Networks to classify the detected faults. Bayesian Networks use directed acyclic graphs that relate different parameters through their conditional dependencies in order to find inference among them. The relationships between parameters from the data will be used to generate the structure of Bayesian Network and then posterior probability of different faults will be calculated using inference algorithms.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.12 no.3
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• pp.457-464
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• 1999

The object of this study is form finding, stress-strain analysis and cutting pattern analysis of membrane structures under the following assumptions : (1) material is linearly elastic (2) stress state is plane stress. The cable and membrane structures undergo large deformation because of its highly flexibility, therefore, we must take account of its geometric nonlinearity. The analysis procedure is consisted of three steps considering geometric nonlinearity unlike any other structures. First step is the form finding analysis to determine the initial equilibrium shape. Second step is the stress-strain analysis to investigate the behaviors of structures under various external loads. Once a stationary shape has been fount a cutting pattern based on the form finding analysis may be generated for manufacturing procedure. In this paper, form finding, stress-strain analysis and cutting pattern analysis is carried out for applying to Seoguipo worldcup soccer stadium roof structures and optimal cutting pattern analysis technique is proposed.

• Journal of Digital Convergence
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• v.10 no.3
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• pp.51-58
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• 2012

The goal of this paper is to set up the rank list of the critical success factors according to its weights. To get the empirical data for this research, the Internet-based questionnaires were performed. This research is carried out in two steps. At first step, the critical success factors(CSF) are crystallized through factor analysis methods. To find out the weights and ranks of critical success factors in second step, the analytical hierarchical process(AHP) method were performed. The order list of all CSFs will be determined according to their priorities. This order list shows which factors have the most useful influence on the performance and success of SCM. This result could play the role as milestone for the effective management of Supply Chain Management System in korean manufacturing company.