• Journal of Korean Society for Quality Management
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• v.5 no.2
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• pp.59-120
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• 1977

An antibiotic 'P', which is one of the products of the Gist Brocades N. V. is being tested by its research department as fungicide on seed-potatoes. For this testing they designed experiments, with two control groups, one competitor's product, eight formulations of the antibiotic to be tested in different concentrations and one mercury treatment which can not be used in practice. The treated potatoes were planted in three different regions, where bifferent conditions prevail. After several months the harvested potatoes are divided in groups according to their diameter, potato illness is analysed and counted. These data were summarised in percentage and given to us for Analysis. We approached and analysed the data by following methods: a. Computation of the mean and standard deviation of the percenage of good results in each size group and treatment. b. Computation of the experimental errors by substraction of each treatment mean from observed data. c. Description of the frequency table, plotting of a histogram and a normal curve on same graph to check normality. d. Test of normality paper and chi-sqeare test to check the goodness of fit to a normal curve. e. Test for homogeneity of variance in each treatment with the Cochran's test and Hartley's test. f. Analysis of Variance for testing the means by one way classifications. g. Drawing of graphs with upper and lower confidence limits to show the effect of different treatments. h. T-test and F-test to two Control mean and variance for making one control of Dunnett's test. i. Dunnett's Test and calculations for numerical comarision of different treatments wth one control. In region R, where the potatoes were planted, it was this year very dry and rather bad conditions to grow potatoes prevailed during the experimental period. The results of this investigation show us that treatment No.2, 3 and 4 are significantly different from other treatments and control groups (none treated, just like natural state). Treatment no.2 is the useless mercury formulation. So only No. 3 and 4, which have high concentrations of antibiotic 'P', gave a good effect to the potatoes. As well as the competitors product, middle and low concentrated formulations are not significantly different from control gro-ups of every size. In region w, where the potatoes got the same treatments as in region R, prevailed better weather conditions and was enough water obtainable from the lake. The results in this region showed that treatment No. 2, 3, 4, and 5 are Significantly different from other treatments and the control groups. Again No.2 is the mercury treatmentin this investigation. Not only high concentrated formulation of antibiotic 'P', but also the competitor's poroduct gave good results. But, the effect of 'P', was better than the competitors porduct. In region G, where the potatoes got the same treatments as in the regions R and w. and the climate conditions were equal to region R, the results showed that most of the treatments are not significantly different from the control groups. Only treatment no. 3 was a little bit different from the others. but not Significantly different. It seems to us that the difference between the results in the three regions was caused by certain conditions like, the nature of the soil the degres of moisture and hours of sunshine, but we are not sure of that. As a conclusion, we can say that antibiotic 'P' has a good effect on potatoes, but in most investigations a rather high concentration of 'P' was required in formulations.

• The Journal of Korean Academic Society of Nursing Education
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• v.4 no.2
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• pp.249-263
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• 1998

The competence of newly graduated nurses is based on various clinical expriences gained when they were students. Therefore, instructors of nursing students, professors in nursing schools or directors in hospitals must play a critical role in assisting them to obtain various knowledge and experienced nursing skills. The purpose of this study was to investigate nursing care activities and nursing care hours practiced by nursing students in a general hospital. The subject students were total 214 nursing students, 2nd graders(sophomores) and 3rd graders(juniors) from 5 Junior Nursing Colleges in Seoul and they practiced at S general hospital to gain clinical experience. The data were collected for 4 days. The tools for this study were the direct nursing care activity list consisted of 15 nursing areas and the indirect nursing care activity list consisted of 9 nursing areas. The subject students were supposed to record their own score. The results of this study are ; 1. The nursing care hours per nursing student 1) The average total nursing care hours a day per each nursing student are 362.65 mins(6.04hr), the direct nursing care hours per each nursing stuent are 202.09 mins(direct nursing care rate 56.0%) and it is higher than the indirect nursing care hours, 159.75mins(indirect nursing care rate 44.0%). The direct nursing care rate of each student by a team approach in the evening shift(56.3%) is higher than that in the day shift(55.8%). 2) The hours of checking vital signs are the longest(47.35mins) among the direct nursing care activites and next is in order of counseling 8l emotional support, nurse rounds, and accompaning a patient during examination. The hours of reporting are the longest(32.39mins) among the indirect nursing care activites, and next is the activities related to education such as reviewing chart, looking up references, etc. 3) The freqency of checking vital signs practiced by nursing student is the highest(the average of 55.7 times) among the direct nursing care activities and next is in order of nurse rounds, assistance of feeding, and counseling & emotional support. The required time for nursing students to accompany their patient during examination is the longest(20.7mins) and next are in order of restriction on patient' activity, orientated by a head nurse, skin care, sitz bath, bathing & hair shampoo, and assisting with patients' exercise. 2. The nursing care hours per grader 1) The average hours of total nursing care per a nursing student are 369.2mins(6.2hrs) to 2nd graders, 355.9mins(5.9 hrs) to third graders. The direct nursing care rate per each nursing student to 3rd graders(59.3%) was higher than that to End graders(52.8%). 2) For 2nd graders, the highly marked nursing activities are teaching associated with direct nursing care activities such as drawing up papers, looking up references, reviewing charts, and being orientated by staff nurses. For 3rd graders, measurments, observations, and nurse rounds in indirect nursing care activities are taken highly 3) The most frequent practice of the nursing care activites is checking vital signs : 65 times to 3rd graders and 46.5 times to 2nd graders. Our suggestions based on the results of this study are : 1. It is recommanded to repeat the same designed study in a variety of clinical fields for further study. 2. It is recommanded to collect data not by self-record method but by observated method. 3. It is needed for nursing instructors in Nursing Schools and in hospitals to develop the guidelines and check-list of clinical practice courses.

• Journal of the Korean Institute of Landscape Architecture
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• v.45 no.6
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• pp.50-61
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• 2017

This study devised a user-participatory design process for users to participate directly in the design process and was implemented at Daegu Padong Elementary School. Users of the school forest were divided into four groups: the lower grades, the upper grades, local residents(parents included), and faculty. The methods of this study were image survey, preference survey, card playing, and model playing. Researchers investigated the level of user satisfaction the following year. The specific design process is as follows: First of all, the concept of the school forest was established through audio-visual education for students and image research was conducted through drawing and painting activities entitled 'The School Forest I Want'. Second, in the image survey, a survey of areas and facilities with high frequency use was conducted in the study of the lower grades, the upper grades, local residents, and the faculty. Image cards of spaces and facilities that showed high preference were produced and the cards were placed in four groups on the school lot plan to check the location of place and facilities desired. Based on this, a model and a basic idea were created through consultation with future users. Lastly, the study design was completed. After 1 year from the completion of the school forest, users were again surveyed regarding their satisfaction with use. The importance of this study is as follows: 1) Treating all potential users of a school forest as the subject of design participation, 2) Reasoning out a plan created by the users themselves through consultation and discussion throughout all steps of the design process, 3) Grasping how users utilize a school forest and the type of spaces most preferred via preference survey after completion of the school forest and showing the importance of user participation by showing that spaces preferred by users were similar to those in which experts were also highly interested.

• Journal of Intelligence and Information Systems
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• v.16 no.3
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• pp.163-179
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• 2010

Recentlythe concept of fast fashion is drawing attention as customer needs are diversified and supply lead time is getting shorter in fashion industry. It is emphasized as one of the critical success factors in the fashion industry how quickly and efficiently to satisfy the customer needs as the competition has intensified. Because the fast fashion is inherently susceptible to trend, it is very important for fashion retailers to make quick decisions regarding items to launch, quantity based on demand prediction, and the time to respond. Also the planning decisions must be executed through the business processes of procurement, production, and logistics in real time. In order to adapt to this trend, the fashion industry urgently needs supports from intelligent quick response(QR) system. However, the traditional functions of QR systems have not been able to completely satisfy such demands of the fast fashion industry. This paper proposes an intelligent quick response system for the fast fashion(IQRS-FF). Presented are models for QR process, QR principles and execution, and QR quantity and timing computation. IQRS-FF models support the decision makers by providing useful information with automated and rule-based algorithms. If the predefined conditions of a rule are satisfied, the actions defined in the rule are automatically taken or informed to the decision makers. In IQRS-FF, QRdecisions are made in two stages: pre-season and in-season. In pre-season, firstly master demand prediction is performed based on the macro level analysis such as local and global economy, fashion trends and competitors. The prediction proceeds to the master production and procurement planning. Checking availability and delivery of materials for production, decision makers must make reservations or request procurements. For the outsourcing materials, they must check the availability and capacity of partners. By the master plans, the performance of the QR during the in-season is greatly enhanced and the decision to select the QR items is made fully considering the availability of materials in warehouse as well as partners' capacity. During in-season, the decision makers must find the right time to QR as the actual sales occur in stores. Then they are to decide items to QRbased not only on the qualitative criteria such as opinions from sales persons but also on the quantitative criteria such as sales volume, the recent sales trend, inventory level, the remaining period, the forecast for the remaining period, and competitors' performance. To calculate QR quantity in IQRS-FF, two calculation methods are designed: QR Index based calculation and attribute similarity based calculation using demographic cluster. In the early period of a new season, the attribute similarity based QR amount calculation is better used because there are not enough historical sales data. By analyzing sales trends of the categories or items that have similar attributes, QR quantity can be computed. On the other hand, in case of having enough information to analyze the sales trends or forecasting, the QR Index based calculation method can be used. Having defined the models for decision making for QR, we design KPIs(Key Performance Indicators) to test the reliability of the models in critical decision makings: the difference of sales volumebetween QR items and non-QR items; the accuracy rate of QR the lead-time spent on QR decision-making. To verify the effectiveness and practicality of the proposed models, a case study has been performed for a representative fashion company which recently developed and launched the IQRS-FF. The case study shows that the average sales rateof QR items increased by 15%, the differences in sales rate between QR items and non-QR items increased by 10%, the QR accuracy was 70%, the lead time for QR dramatically decreased from 120 hours to 8 hours.