• Proceedings of the Korean Geotechical Society Conference
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• 2009.09a
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• pp.1536-1539
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• 2009

In this paper, The Ready-mixed Shotcrete which Factory with automatic production system is made Materials using synthetic fiber is evaluated the field application. Result of whole test, synthetic fiber(PP, PVA) is indicated almost equal result of steel fiber by rebound rate, compressive strength and bending test. especially, PP fiber(40mm, 12kg) is showed that bending strength and toughness is better than steel fiber, also I reason in that field application of synthetic fiber(PP, PVA) is proved.

• Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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• 2008.10a
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• pp.61-64
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• 2008

This paper gives the application method for Electric Heat Rump to DSM programs. The EHP has a function transfer heat and uses electricity as a energy source. In nowadays, as oil prices go up, many People uses the EHP, instead of GHP, the electric power peak load is escalating gradually. By that reason, to achieve successful load leveling, new DSM programs for EHP is needed. Under those circumstances, we discussed about the need of DSM programs for EHP, and the detail method for application EHP to DSM programs in this paper. And we dealt with the site specific test for EHP, and analyzed the test result.

• Korean Journal of Organic Agriculture
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• v.19 no.spc
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• pp.178-181
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• 2011

The test was carried out at a test field at the Wanju Eco-Farming Complex from 2009 to 2010 to figure out the proper application of fertilizers when growing rice at the Eco-Farming Complex. The result showed that when compared to the basal application of compost as fertilizer, applying supplementary compost after natural re-seeding of chinese milk vetch (CMV) helped balance soil nutrition and maintained rice yields.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.04a
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• pp.618-620
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• 2017

Currently, IoT mobile applications are growing fast in number and complexity. As a result, the applications quality issue became crucial, hence to ensure their quality a proper testing is highly required. Testing such mobile applications is always tedious, time-consuming and expensive. To cope with these issues, we propose a testing approach using activity diagram with data flow information. The main functionality of IoT applications is exposing the meaningful data obtained from the sensors to the users by doing a lot of analysis, comparison, and computation. Therefore, our focus is on identifying and selecting the most appropriate paths at which calculation is taking place and the paths at which predicate exists. In our case study, we have used a real-world IoT mobile application and identified a total of ten test paths with two predicate uses and two computation uses through an example. With applying only this four critical paths, we can adequately test the application's core functionalities while significantly reduce the testing effort and cost.

• Annals of Clinical Neurophysiology
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• v.10 no.1
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• pp.29-32
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• 2008

Although various criteria on the diagnosis of diabetic neuropathy are applied from trial to trial, being tailored in concert with its purpose, the utmost evidences of the diagnosis are subjective symptoms and objective signs of neurologic deficit. The application and interpretation of auxiliary electrophysiological test including nerve conduction study (NCS) should be made on the context of clinical pictures. The evaluation of the functions of small, thinly myelinated or unmyelinated nerve fibers has been increasingly stressed recently with the advent of newer techniques, e.g., measurement of intraepidermal fiber density, quantitative sensory testing, and autonomic function test. And the studies with those techniques have shed light to the nature of the evolution of diabetic neuropathy. The practical application of these techniques to the diagnosis of diabetic neuropathy in the individual patients, however, should be made cautiously due to several shortcomings: limited accessibility, wide overlapping zone between norm and abnormality with resultant unsatisfactory sensitivity and specificity, difficulty in performing subsequent tests, unproven quantitative correlation with clinical deficit, and invasiveness of some technique. NCS, as an extension of clinical examination, is still the most reliable electrophysiological test in evaluating neuropathy and gives the invaluable information about the nature of neuropathy, whereas the newer techniques need more refinement of the procedure and interpretation, and the accumulation of large scaled data of application to be considered as established diagnostic tools of peripheral neuropathy.

• Journal of the Korean Society for Advanced Composite Structures
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• v.1 no.1
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• pp.34-45
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• 2010

This paper describes the design, manufacturing process, testing, application, and assessment of capacity-ratings of the first all advanced composites bridge on a public highway system. In order to verify the bridge design prior to the field application, a sub-scale bridge superstructure was built and tested in the laboratory. The field load test results were compared with those of the finite element analysis for the verification of validity. To investigate its in-service performance, field load testing and visual inspections were conducted under an actual service environment. The paper includes the presentation and discussion for advanced composites bridge capacity rating based on the stress modification coefficients obtained from the test results. The test result indicates that the advanced composites bridge has no structural problems and is structurally performing well in-service as expected. Since these composite materials are new to bridge applications, reliable data is not available for their in-service performance. The results may provide a baseline data for future field advanced composites bridge capacity rating assessments and also serve as part of a long-term performance of advanced composites bridge.

• Journal of Korean Society of Transportation
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• v.13 no.4
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• pp.133-151
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• 1995

The collective of highly reliable traffic data is necessary for traffic signal control. This study is to test application of RTMS sensor to traffic signal control. In order to find out the possibility of its application th traffic signal control, 5 types of experiments were performed. The major findings are as follows ; -The detection are a has been changing according to degree and gain. -At the results of experiments for interference are a measure, Degree 60 is stable condition. -At the results of reliability test for volume and speed. the error rate decreases as speed increases and that of Zone 1 is lower than that of Zone 3. -Two modes are set up for reliability test of traffic volume. It founds that the detection reliability of the stopped vehicles are higher than that of the passing vehicles at sidefire-intersection mode. It founds that the results are vice-versa at sidefire-highway mode. Conclusively, this sensor cannot directly apply to colection of traffic data for traffic signal control. However, this sensor can be substituted for a loop detector which is used popularly for signal control, and freeway traffic control if above faults are made up.

• Computers and Concrete
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• v.24 no.6
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• pp.555-560
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• 2019

During the application of shotcrete, a part of the concrete bounces back after hitting to the surface, the reinforcement or previously sprayed concrete. This rebound material is definitely not added to the mixture and considered as waste. In this study, a deep neural network model was developed to predict the rebound material during shotcrete application. The factors affecting rebound and the datasets of these parameters were obtained from previous experiments. The Long Short-Term Memory (LSTM) architecture of the proposed deep neural network model was used in accordance with this data set. In the development of the proposed four-tier prediction model, the dataset was divided into 90% training and 10% test. The deep neural network was modeled with 11 dependents 1 independent data by determining the most appropriate hyper parameter values for prediction. Accuracy and error performance in success performance of LSTM model were evaluated over MSE and RMSE. A success of 93.2% was achieved at the end of training of the model and a success of 85.6% in the test. There was a difference of 7.6% between training and test. In the following stage, it is aimed to increase the success rate of the model by increasing the number of data in the data set with synthetic and experimental data. In addition, it is thought that prediction of the amount of rebound during dry-mix shotcrete application will provide economic gain as well as contributing to environmental protection.

• Journal of Korean Biological Nursing Science
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• v.15 no.2
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• pp.90-98
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• 2013

Purpose: The purpose of this study was to develop a clinical practice nursing students' microbiology program based on the mastery learning model, and to evaluate the effects of the program on nursing students' knowledge, self-efficacy, performance, and satisfaction related to the nursing students' microbiology program. Methods: The program was developed by using the processes of the mastery learning model. The pre-experimental research design involved a one group pretest-posttest design. The setting was a university located in Incheon, Korea. A total of 130 nursing students participated in the program including a theoretical lecture, clinical practice, and formative and summative evaluation. Results: Using the program that was designed and developed, results for the total score of self-efficacy, knowledge, and performance in the post-test application were significantly higher than in the pre-test application (p<.05). The satisfaction of hand hygiene and disinfection/contaminated hand microbial culture and disinfection test received the highest ratings. Conclusion: The application of a clinical practice nursing students' microbiology program was effective, and can be expanded to other nursing students. Future research with other study designs was warranted in order to prove the effect of a microbiology program based on the mastery learning model.

• Nuclear Engineering and Technology
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• v.54 no.4
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• pp.1449-1455
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• 2022

A radiotracer investigation was carried out in a Thermal Stratification Test Facility (TSTF) with objectives of investigating the dispersion and diffusion of radionuclide and effectiveness of the thermocline to minimize the radionuclide content in the hot water layer. Technetium-99m (^99mTc) as sodium pertechnetate was used as a radiotracer in the investigation. Qualitative analysis showed that a thermocline is formed within the TSTF and is effective in preventing the transport of radionuclide from bottom section to the top section of the facility. It was found that the radiotracer injected at the bottom of the pool took about 17.4 h to disperse from bottom to the top of the facility. The results of the investigation helped in understanding the effectiveness of hot water layer and thus to minimize the pool top radiation levels.