• Journal of Welding and Joining
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• v.31 no.6
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• pp.1-7
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• 2013

In nuclear power plants, lined carbon steel pipes or PCCPs (pre-stressed concrete cylinder pipes) have been widely used for sea water transport systems. However, de-bonding of linings and oxidation of PCCP could make problems in aged NPPs (nuclear power plants). Recently at several NPPs in the United States, the PCCPs or lined carbon steel pipes of the sea water or raw water system have been replaced with HDPE (high density polyethylene) pipes, which have outstanding resistance to oxidation and seismic loading. ASME B&PV Code committee developed Code Case N-755, which describes rules for the construction of buried Safety Class 3 polyethylene pressure piping systems. Although US NRC permitted HDPE materials for Class 3 buried piping, their permission was limited to only 10-year operation because of several concerns including the quality of fusion zone of HDPE. In this study, various requirements for fusion qualification test of HDPE and some regulatory issues raised during HDPE application review in foreign NPPs are introduced.

• Korean journal of food and cookery science
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• v.19 no.5
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• pp.647-658
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• 2003

Foodservice at elementary schools has been provided nation-wide. It is predictable that foodborne diseases would increase continuously. Formation of a counterplan is urgently needed. This study was designed to identify the stage which contains the critical control points (CCPs) for the microbiological management of HACCP (Hazard Analysis Critical Control Point) at the foodservice provided at elementary schools. Foodservice places at four elementary schools in Seoul were sampled and the overall hygiene of cooking, utensils and equipment, employees, and environment by season were examined. The results showed that the number of bacteria in overall samples was increased and that E. coli, Salmonella and Staphylococcus by biochemical test emerged in more diverse samples in summer than in spring. Particularly, the number of aerial bacteria in summer was three-fold greater than that in either spring or winter. E. coli 0157 was not detected, although Salmonella was identified by PCR analysis in the meat knives, chopping boards, waste bins and meat dish at elementary school foodservice. According to this data, cross-contamination should be managed in the stage of mixing up the ingredients with improper equipments and insanitary treatments. Thus, the establishment of SSOP (Sanitation Standard Operating Procedures) and GMP (Good Manufacturing Practice) at elementary school foodservice is stringently required, along with sanitation education for workers and employees as CCPs.

• Proceedings of the Korea Multimedia Society Conference
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• 2004.05a
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• pp.709-713
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• 2004

This Paper Presents an Internet-based Java self-learning educational system which consists of a management system named Java Web Player (JWP) and creative multimedia contents fer Java language. The JWP Is a Java application program free from security problems by the Java Web Start technologies that supports an Integrated learning environment including three Important learning Procedures: Java concept learning Process, Programming practice process and assessment process. This JWP enables the learners to achieve efficient and Interesting self-learning since the learning process is designed to enhance the multimedia capabilities on the basis of various educational technologies. On-line voice presentation and its related texts together with moving images are synchronized for efficiently conveying creative contents to learners. Furthermore, a simple and useful compiler is included in the JWP fur providing user-friendly language practice environment enabling such as coding, editing, executing and debugging Java source files on the Web. The assessment process with various items helps the learners not only to increase their academic capability but also to appreciate their current degree of understanding. Finally, simple multiple choices are given suddenly to the learners while they are studying through the JWP and the test results are displayed on the message box. The proposed system can be used for an efficient tool for learning system on the Web.

• Journal of Nutrition and Health
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• v.25 no.3
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• pp.233-247
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• 1992

The changes in human milk composition from 2-5 days to 12 weeks postpartum were investigated. Milk from 62 mothers was anlyzed for total nitrogen(semimicro kjeldahl) lipid(utilizing a modified Folch) and lactose(enzymatic hydrolysis) Energy was calculated by frac-tional analysis. And the daily milk intakes and major nutrients and energy intakes of 18 exclusi-vely breast-fed infant were determined by the test-weighing procedure and the direct analysis of milk samples at 6 or 7 weeks postpartum. All samples were from well-defined subjects and uniform collection procedures were used. Total nitrogen content decreased significantly from 392 to 211 mg/dl lipid and lactose content increased from 1.94 to 3.06g/dl and 6.90 to 7.50g/dl respectively. And energy content increased 55.6 to 64.5 kcal/dl but was not statistically significant. The amount of milk ingested ranged from 432 to 1266 ml/day and the mean intake was 764 ml/day. Daily mean intakes for protein and energy were 10.0g and 450kcal in 6 or 7 weeks postpartum respectively.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.10a
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• pp.1350-1353
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• 2015

In this paper, we have researched about how to detect the fish robot objects in aquarium. We had used designed fish robots DOMI ver1.0, which had researched and developed for aquarium underwater robot. The model of the robot fish is analysis to maximize the momentum of the robot fish and the body of the robot is designed through the analysis of the biological fish swimming. We are planned to non-external equipment to find the position and manipulated the position using creating boundary to fish robot to detect the fish robot objects. Also, we focused the detecting fish robot in aquarium by using boundary algorithm. In order to the find the object boundary, it is filtering the video frame to picture frames and changing the RGB to gray. Then, applied the boundary algorithm stand of equations which operates the boundary for objects. We called these procedures is kind of image processing that can distinguish the objects and background in the captured video frames. It was confirmed that excellent performance in the field test such as filtering image, object detecting and boundary algorithm.

• Proceedings of the Korean Society of Propulsion Engineers Conference
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• 2008.11a
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• pp.11-14
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• 2008

Acoustic design parameters of a half-wave resonator are studied experimentally for acoustic stability in a model acoustic tube. According to standard acoustic-test procedures, acoustic-pressure signals are measured. Quantitative acoustic properties of sound absorption coefficient are evaluated and thereby, the acoustic damping capacity of the resonator is characterized. The diameter and the number of a half-wave resonator and the diameter of the tube are selected as design parameters for optimal tuning of the resonator. Optimum acoustic damping capacity is observed at smaller open area ratio as the resonator diameter increases.

• Journal of the Korea Society of Computer and Information
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• v.20 no.1
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• pp.11-20
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• 2015

Typically welded bellows are checked with human eye and microscope, and then go through leakage test of gas. The proposed system alternates these heuristic techniques using support vector machines. Image procedures in the proposed method can cover the irregularity problem induced from human being. To get easy observation through microscope, 3D display system is also exploited. Experimental results from this automatic measurement show the welding detection is done within one tenth of permitted error range.

• Journal of Magnetics
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• v.18 no.3
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• pp.302-307
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• 2013

Hybrid-type magnetic bearings using both permanent magnets and electromagnets have been used for rotating machinery. In the case of conventional thrust hybrid magnetic bearings supporting axial loads, radially magnetized permanent ring magnets, which have several demerits such as difficult magnetization and assembly, have been used to generate bias flux. In this study, a novel thrust hybrid magnetic bearing using an axially magnetized permanent ring magnet is presented. Because it is easy to magnetize a ring magnet in the axial direction, the segmentation of the ring magnet for magnetization is not required and the assembly process can be simplified. For verifying the performance of the proposed method, a test rig that consists of a proposed thrust magnetic bearing and variable loads is constructed. This paper presents the detailed design procedures and the obtained experimental results. The results show that the developed thrust magnetic bearing has the potential to replace conventional thrust magnetic bearings.

• Journal of Korean Academy of Nursing
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• v.51 no.5
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• pp.549-560
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• 2021

Purpose: This study evaluated the validity and reliability of the Korean version of the Face Mask Use Scale (K-FMUS) among community-dwelling adults. Methods: The participants of the study were community-dwelling adults in Korea using face masks during the COVID-19 pandemic. The English FMUS was translated into Korean using forward and backward translation procedures. The construct validity and reliability of the K-FMUS were evaluated using the exploratory and confirmatory factor analyses and the internal consistency reliability test. Results: The K-FMUS comprised 6 items divided into 2 factors. The variance of the factors was approximately 79.1%, which suggested that the scale indicated the effectiveness of face mask usage. The two factors were labeled as face mask use in society (4 items) and face mask use at home (2 items). Cronbach's α value for the overall scale was .88. Conclusion: The K-FMUS is a valid and reliable scale that can be used to measure face mask usage among community-dwelling adults in Korea during the COVID-19 pandemic.

• Nuclear Engineering and Technology
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• v.53 no.4
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• pp.1181-1188
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• 2021

When abnormal events occur in a nuclear power plant, operators must conduct appropriate abnormal operating procedures. It is burdensome though for operators to choose the appropriate procedure considering the numerous main plant parameters and hundreds of alarms that should be judged in a short time. Recently, various research has applied deep-learning algorithms to support this problem by classifying each abnormal condition with high accuracy. Most of these models are trained with simulator data because of a lack of plant data for abnormal states, and as such, developed models may not have tolerance for plant data in actual situations. In this study, two approaches are investigated for a deep-learning model trained with simulator data to overcome the performance degradation caused by noise in actual plant data. First, a preprocessing method using several filters was employed to smooth the test data noise, and second, a data augmentation method was applied to increase the acceptability of the untrained data. Results of this study confirm that the combination of these two approaches can enable high model performance even in the presence of noisy data as in real plants.