• Proceedings of the Computational Structural Engineering Institute Conference
• /
• 2004.10a
• /
• pp.517-526
• /
• 2004

In the resent years, the early evaluation of concrete quality, construction and maintenance has been considered as all is of major concern due to the increase of loading and the degradation of structures related with time. This paper presents evaluation of structural safety performance using measured data of construction, on the basis of a field measurements for the prevention of unreliable concrete works. Measurements analyzed in this paper are early quality condition and performance assessment, serviceability performance by cracks and deflection, rating performance by loading, durability performance by chloride attack and carbonation. Thus, a quantitative assessment model of resistance capacity was developed here to meet the requirement for deteriorated concrete structures. The model focuses on damage mechanical of concrete structures deteriorated by initial damage factors for concrete quality and environment factors such as chloride and carbonation attacks. These results could provide useful information for concrete structures interested in design, construction and maintenance.

• Journal of Information Technology Services
• /
• v.10 no.2
• /
• pp.235-245
• /
• 2011

Early criticality prediction models that determine whether a design entity is fault-prone or not are becoming more and more important as software development projects are getting larger. Effective predictions can reduce the system development cost and improve software quality by identifying trouble-spots at early phases and proper allocation of effort and resources. Many prediction models have been proposed using statistical and machine learning methods. This paper builds a prediction model using Support Vector Machine(SVM) which is one of the most popular modern classification methods and compares its prediction performance with a well-known prediction model, BackPropagation neural network Model(BPM). SVM is known to generalize well even in high dimensional spaces under small training data conditions. In prediction performance evaluation experiments, dimensionality reduction techniques for data set are not used because the dimension of input data is too small. Experimental results show that the prediction performance of SVM model is slightly better than that of BPM and polynomial kernel function achieves better performance than other SVM kernel functions.

• Journal of the Korean Institute of Landscape Architecture
• /
• v.33 no.5 s.112
• /
• pp.83-93
• /
• 2005

Research was initiated to investigate turf performance under USGA soil system. USGA system 45 centimeters deep was built with rootzone layer, intermediate layer, and drainage layer. Six turfgrass entries were comprised of 3 blends and 3 mixtures from cool-season grasses (CSG). Turfgrass color and quality ratings were best in spring and fall, especially early May to early July and late August to early November. Kentucky bluegrass (KB) consistently produced the greatest performance, while perennial ryegrass (PR) the poorest. Intermediate turf performance between KB and PR was observed with tall fescue (TF). Among CSG mixtures it increased with KB but decreased with PR. There were considerable variations in summer turf Performance. No summer drought injury was found in KB and TF. However, PR showed poor performance through summer as compared with others. Among mixtures, it decreased with PR. It was suggested that PR mix in less than $20\%$ in the mixtures to have an acceptable quality in summer. Cultural intensity also affected it. With lowering mowing height, KB of rhizomatous-type in growth habit kept good quality, while PR and TF with bunch-type in growth habit poor quality. Mowing quality was greatly different among CSG. KB produced clean-cut surface, but PR unclean one. If had an intermediate mowing quality between KB and PR. A great difference in green color retention was observed among CSG. The longest CSG was PR that kept green for 339 days, while the shortest one TF for 267 days. KB continued to keep green for 290 days. The mixtures kept green in color for 292 to 315 days, depending on turfgrass mixing intensity. The greater the PR in content, the longer the green color duration. These results demonstrate that KB was the best and PR the worst among CSG grown in USGA system under a domestic climate, in regards of turf quality, color, mowing quality, summer turf performance and green color duration. KB and TF are most adequate for high-maintenance and low-maintenance area, respectively. In case of mixtures for high-quality turf, it was desirable to use KB-based mixture with PR of below $20\%$ in seeding rate.

• Journal of the Korea Safety Management & Science
• /
• v.13 no.2
• /
• pp.185-193
• /
• 2011

The successful and sustainable growth of SMEs depends on their ability of strengthen their competitiveness in quality and cost and service more than anything else as a fundamental of operation. Among these key competitive factors of SMEs, quality is the most critical factor in manufacturing business fields. There are many different ways to improve the quality performance but it needs proper management decision to choose the best way what can maximize outputs with minimum inputs. And it needs effective measurement methods and some indicators to analysis the quality performance properly. The quality cost is one of the simplest key indicators to measure the quality performance and the effectiveness of quality related management decisions. In this study, through survey on local SMEs, we found that their average annual quality cost ratio versus turnover - total amount of annual quality cost divided by annual turnover - is around 3.69% excluded some SME's performances what have different quality control measures with others. And we found some results what corresponded with the early studies on the correlations between those categorized quality costs factors and some discrepancies between some of the literature model and the early case study results as follows. There were negative correlations between the Prevention costs and the External failure costs, and the Appraisal costs and the External failure costs, and there was positive correlation between the Appraisal costs and Internal failure costs same as early studies. But, we couldn't found any strong negative correlations between the Cost of control - Prevention costs & Appraisal costs - and the Cost of Failure of control - Internal & External failure costs -.

• Proceedings of the Safety Management and Science Conference
• /
• 2011.04a
• /
• pp.731-746
• /
• 2011

The successful and sustainable growth of SMEs depends on their ability of strengthen their competitiveness in quality and cost and service more than anything else as a fundamental of operation. Among these key competitive factors of SMEs, quality is the most critical factor in manufacturing business fields. Because quality strongly influence cost and service performance on this manufacturing business field. There are many different ways to improve the quality performance but it needs proper management decision to choose the best way what can maximize outputs with minimum inputs. And it needs effective measurement methods and some indicators to analysis the quality performance properly. The quality cost is one of the simplest key indicators to measure the quality performance and the effectiveness of quality related management decisions. The major purpose of this study is to diagnose the categorized current level of actual quality cost of local SMEs to maximize their quality management effectiveness through comparing their level with others what's expressed in early studies. In this study, through survey on local SMEs, we found that their average annual quality cost ratio versus turnover - Total amount of annual quality cost divided by annual turnover - is around 3.69% excluded some SME's performances what have different quality control measures with others. And we found some results what corresponded with the early studies on the correlations between those categorized quality costs factors and some discrepancies between some of the literature model and the early case study results as follows. There were negative correlations between the Prevention costs and the External failure costs, and the Appraisal costs and the External failure costs, and there was positive correlation between the Appraisal costs and Internal failure costs same as early studies. But, we couldn't found any strong negative correlations between the Cost of control - Preventive costs & Appraisal costs - and the Cost of Failure of control - Internal & External failure costs -. It reveals not only the lack of effectiveness on their preventive or appraisal activities but also it can reveal there were so many effective ways to prevent the failure costs properly such as some innovative investment on Factory automation includes Error Proofing and more preventive actions to improve the effectiveness of the typical management methods likes CE (Concurrent Engineering), APQP (Advanced Product Quality Planning), FMEA (Failure Mode & Effect Analysis) etc.

• Journal of the Korean Home Economics Association
• /
• v.43 no.12 s.214
• /
• pp.97-111
• /
• 2005

Early Head Start (EHS) can provide services to a child and family from pre-birth until the child is three years old. Services are comprehensive, intensive, individualized and flexible according to child and family needs, and integrated with community service delivery systems. The local program designs and operations were developed and carried out within the framework of the Head Start Revised Performance Standards, which included specific provisions for services to pregnant women, infants and toddlers and emphasized prevention, early intervention, safety, and health education. As with preschool Head Start, EHS programs are required to make available 10 percent of their enrollment for infants and toddlers with disabilities as defined by Part C regulations of the state in which the program operated. Quality child care has become a priority for EHS. A majority of EHS children need child care, and the quality is important to their development. An evaluation of EHS in 17 programs selected from the first program cohorts showed that the program had significant and positive impacts on a wide range of parent and child dimensions, some with implications for children's later school success. Among the issues for policy attention identified by American EHS for the Korean system are: - The need to create a comprehensive infant/toddler care system - The need to address access of teachers for young children - The need to improve quality.

• Journal of The Korean Society of Grassland and Forage Science
• /
• v.17 no.2
• /
• pp.101-109
• /
• 1997

Nine oat(Avena sativa L.) cultivars have been recommended as the govemment recommended forage cultivars since 1984, however, their forage performance and quality have mostly been tested at two locations, such as Suweon in the Middle Northwestem Coast Region and Sunghwan in the Middle Southwestern Coast Region. Therefore, the objective of this experiment was to retest the forage performance and quality of six government recommended oat cultivars at five scattered locations, such as Icheon, Suweon, Sunghwan, Keongsan and Kwangju fom 1992 to 1994 with the intention of improving recommendations to dairy farmers. Among the oat cultivars tested, "West" was the highest yielding cultivar at all locations in 1992-94, but the lowest yielding cultivars varied by location and year. At both Icheon and Suweon, "Cayuse", "Magnum" and "Foothill", at Sunghwan, "Cayuse" , "Ensiler" and "Foothill", at Keongsan, "Magnum", "Cayuse" and "Swan", and at Kwangju, "Cayuse", "Magnum" and "Cayuse", were the lowest yielding cultivars in 1993, 1994 and 1995, respectively. At all locations in 1992-94, "West" and "Swan" were the most advanced in growth stage, but "Cayuse", "Foothill", "Magnum" and "Ensiler" were the latest developing cultivars among the oats. Differences among the oat cultivars for the three-year mean NDF, ADF and IVDMD were small and inconsistent, but forage quality of the oats was generally lowest in the early developing cultivars and highest in the late developing cultivars. The govemment recommended oat cultivars tested were generally well adapted across the country, however, in forage production situations in the fall where high yield is more important, early maturing oat cultivars might be preferable to late cultivars because they have higher forage yield earlier in the fall.ction situations in the fall where high yield is more important, early maturing oat cultivars might be preferable to late cultivars because they have higher forage yield earlier in the fall.

• International journal of advanced smart convergence
• /
• v.8 no.3
• /
• pp.138-144
• /
• 2019

Understanding teachers in the early childhood education is crucial as it can not only affect the quality of children's education but also cause many critical problems such as child abuse. A significant amount of research work has been made on the use of robots in childcare classrooms. The finding from the research has shown many advantages such as the improvement of learning performance, social/emotional skills, creativity, concentration period, physical and cognitive development. However, most of the study has been implemented at the K-12 classrooms but not much has been focused on the education at the early childhood classrooms. Importantly, it is very crucial to understand teachers' perception, demands and technical competence about the new teaching tool, in order to maximize its educational effect. This paper investigates some critical issues existing in both teaching and managing in the early childhood education. It will also explore teachers' perceptions and expectations on the use of robots to identify some dilemmas that exist in their working and teaching environment. A survey study was conducted with 119 early childhood educators in South Korea. It analyzed the educators' perception of using robots to improve their teaching performance and to make better outcomes for children, investigated job satisfaction and difficulties that they have in the current work environment. This paper concludes with several guidelines for integrating and setting robotics in the early childhood environment, in order to engender productive outcomes for the future early childhood education.

• Journal of the Korean Operations Research and Management Science Society
• /
• v.33 no.2
• /
• pp.45-73
• /
• 2008

Quality has long been considered as an important factor in creating competitive advantage, and researches on quality have not been limited to off-line products but actively extended to e-services and information goods. However, given the nature of multi-dimensional aspect of quality, the systematic study on the quality of online service is still in its early stage. Especially, studies on the quality of ASP services have been rare in academic and professional journals despite the growth of ASP industry in its size and the rapid expansion in the range of application. In this paper we clarified the multi-dimensional quality aspects of the ASP service using a Garvin's framework (1984) which encompasses the service aspects of Products, and developed a measurement model for ASP service qualify. Then we empirically tested the effects of ASP service quality on user satisfaction and perceived firm performance using the data from 240 Korean small firms with less than 50 employees that had experienced the ASP service. Our results show that there are positive relationships among ASP service quality and personal performance, user satisfaction and perceived firm performance, and that product and service-related aspects of ASP service exert differential effects on performance measures so that the product-related aspects of the ASP service such as performance, features, reliability and conformance are considered to be more important in evaluating benefits from ASP services. Contrary to the approaches In literature where only the quality of online services is evaluated, our results emphasize the importance of differentiating Product and service-related aspects of ASP service and provide a basis for more comprehensive evaluation of ASP service quality.

• Journal of the Korean Home Economics Association
• /
• v.49 no.6
• /
• pp.67-83
• /
• 2011

The purposes of this study were to a develop a preventive tailored early intervention program and to investigate the effects of the program on the quality of parenting for low income families. The subjects were eighty five infants, aged 13 to 32 months, and their mothers. Of the 85 mother-infant dyads, 42 dyads were randomly assigned to the experimental group and 43 dyads to the control group. To prevent the risks of the adverse development of infants from low income families a tailored intervention program was created based upon the transactional model. This emphasized the quality of the home environment and of the daily mother-infant interaction. The risk factors were assessed and progress monitoring was undertaken for the preventive tailored intervention treatment. In order to assess the effects of the program, HOME, the NCAST Teaching Scale and the Parenting Stress Index/Short From were used. The collected data were analyzed with descriptive statistics, ANCOVA, and the McNemar test. The experimental group showed a significant increase in performance and higher scores than the control group on the scores from HOME, and the NCAST Teaching Scale and significant decrease and lower scores in the Parenting Stress Index(SF).