• Journal of The Korean Association of Information Education
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• v.9 no.4
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• pp.607-616
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• 2005

The art education in elementary schools pursued by the 7th education course is to nurture more aesthetic human who can live a more beautiful life by applying the beauty they felt and saw, rather than wishing all students to become artists. In other words, it emphasizes on the importance of appreciation activity. However, the reality is that technique-oriented learning is the main in the education field, especially around the academies, and appreciation learning is even more difficulty for students at physical spaces such as galleries who live inisland or distant countries. This study designs and materializes a system providing appreciation learning data in the form of gallery based on 3 dimensional learning pattern, which is similar to form of human senses, to solve the demerits of former appreciation resources being shared around a small number of students.

• Proceedings of the Korean Society of Propulsion Engineers Conference
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• 2009.11a
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• pp.11-14
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• 2009

The implementation of gelled propellants systems offers high performance, thrust-control, energy management of propulsion, storability, and high density impulse of solid propulsion. Present study focused on the spray behavior of liquid sheets formed by impinging jets of non-Newtonian liquids which are mixed by Carbopol 941 0.5%wt. The results are then compared with experiments conducted on spray images formed by impinging jets concerning with air-blast effect at center orifice. When gel propellants are injected by doublet impinging jets at low pressure, closed rim pattern shape appeared. As increasing air mass flow rate(decreasing GLR), spray breakup and atomization phenomenon better improved and spray structure instabilities for the effect of air-blast are also increased.

• IEIE Transactions on Smart Processing and Computing
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• v.6 no.1
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• pp.66-70
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• 2017

Radioactive materials are used in medicine, non-destructive testing, and nuclear plants. Source localization is especially important during nuclear decommissioning and decontamination because the actual location of the radioactive source within nuclear waste is often unknown. The coded-aperture imaging technique started with space exploration and moved into X-ray and gamma ray imaging, which have imaging process characteristics similar to each other. In this study, we simulated $21{\times}21$ and $37{\times}37$ coded aperture collimators based on a modified uniformly redundant array (MURA) pattern to make a gamma imaging system that can localize a gamma-ray source. We designed a $21{\times}21$ coded aperture collimator that matches our gamma imaging detector and did feasibility experiments with the coded aperture imaging system. We evaluated the performance of each collimator, from 2 mm to 10 mm thicknesses (at 2 mm intervals) using root mean square error (RMSE) and sensitivity in a simulation. In experimental results, the full width half maximum (FWHM) of the point source was $5.09^{\circ}$ at the center and $4.82^{\circ}$ at the location of the source was $9^{\circ}$. We will continue to improve the decoding algorithm and optimize the collimator for high-energy gamma rays emitted from a nuclear power plant.

• Korean Journal of Adult Nursing
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• v.19 no.4
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• pp.624-633
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• 2007

Purpose: This study was conducted to develop an integrated undergraduate course including a PBL based on a blended learning strategy, and evaluate learners' responses. Methods: The learning contents of cardiovascular, respiratory, and musculoskeletal medical systems, and nursing diagnoses of 'activity and rest' domain (NANADA's classification II, 2005) were analyzed. Six clinical scenarios with the clients in different life cycles were developed for PBL. Classical lecture and group presentation with on-line self learning were implemented in addition to PBL. The developed course was implemented on 84 junior nursing students in a university for 7 weeks with 5 hours per day, two days per week. Students were asked to complete structured questionnaires including problem solving, critical thinking, and nursing diagnosis differentiation abilities. Results: Learner's evaluation was positive in problem solving skills and in the differentiation ability of nursing diagnoses relevant to an 'activity and rest' functional health pattern. Conclusion: Development and implementation of integrated courses based on a blended learning method need to be continued to enhance students' thinking and self-directed learning abilities. Supporting strategies for individual learners should be added for successful blended learning such as individual on-line feedback and consideration of individual learning outcomes.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.14 no.6
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• pp.139-147
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• 2014

The ballast water may be discharged into another sea area with marine organisms, it caused problems to disturb the marine ecosystem. So, in order to remove these environmental risk factors, the IMO has mandated the installation of BWTS to the all ships. Our monitoring system diagnose and predict a failure of BWTS by analyzing the sensor information of BWTS collected from which the ships scattered in the ocean of several. This paper presents the design and implementation of communication modules for BWTS remote monitoring considering the satellite communication charge fee. In the our study, we implemented the safety and cost-saving communication modules by LabVIEW program. The collected sensor informations is encrypted and compressed by LabVIEW modules running on RIO. Then they will be transfer to the land server and will be decrypt to enable monitoring in the land server. For the verification, we build the test modules which can verify from collecting the sensor data to consuming them in the monitoring server. We carried out 20 times for the data pattern in all of case. So, we verified the excellent functionality and reliability through the experimental result.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.05a
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• pp.136-139
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• 2011

The conventional semiconductor equipment has adopted SRAM module as the test pattern memory, which has a simple design and does not require refreshing. However, SRAM has its disadvantages as it takes up more space as its capacity becomes larger, making it difficult to meet the requirements of large memories and compact size. if DRAM is adopted as the semiconductor inspection equipment, it takes up less space and costs less than SRAM. However, DRAM is also disadvantageous because it requires the memory cell refresh, which is not suitable for the semiconductor examination equipments that require correct timing. Therefore, In this paper, we will proposed an algorithm for punctuality guarantee of memory-free inspection equipment using DDR2 SDRAM. And we will produced memory controller using punctuality guarantee algorithm.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.1
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• pp.151-156
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• 2017

In case of massive water leakage, it's crucial for field manager to quickly positioning the problematic valve and related ones. However, it's not easy for the system to find the corresponding valve and even if it's found, it can not respond quickly because it can't know the relevant information immediately. In this paper, we implement the system for identifying sluice valve positions using GPS and AR techniques. The proposed system is composed of hand held android device, remote database server and data acquisition device for DB creation. We utilize the android device's sensors including GPS, gyro, accelerometer, magnetic sensor. The system identifies the valve with matching between the position data from the remote database server, and current GPS locations of device. We use AR techniques to overlay the graphics pattern of valve positions and some additional informations on captured real scene. With this system, it will be fast and accurate for maintenance of sluice valve of municipal water system.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.29 no.4B
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• pp.411-423
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• 2004

This paper defines test methodologies and performance indices for SIP server system, and describes elements that can have influence on the test of SIP network equipments. Moreover, we implement a tester to evaluate the performance of SIP Servers such as Registrar and Proxy server. The performance indices for testing SIP servers are message processing rate, transaction delay, and call success probability. The parameters that can have an effect on the performance of SIP servers are user population, transport protocol, method of database access, method of DNS, call creation pattern, definition of transactions, and size of packets. We tested several SIP servers that act as Registrar, Proxy, and Redirect server using the implemented SIP tester, and, as a result, verified functions of the tester and performance indices and input parameters defined in this paper. Performance indices and methodologies presented in this paper can be used to evaluate SIP servers in NGN

• Journal of IKEEE
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• v.12 no.1
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• pp.59-64
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• 2008

In this paper, a new efficient SMPS has been designed and implemented. It can replace the existing product that is widely used in industry. To investigate the performance of the conventional SMPS, the output voltage changes due to variations in the input voltage and the load conditions, and the ripple and noise voltages have been measured and analyzed. As a result, it has been confirmed that the noise in the conventional SMPS is severe due to the deficiency of patterns for current. This is because the conventional SMPS draw out all outputs using one transformer and the alarm logic exists in the output path. To solve this problem, the switching frequency is increased from 17KHz to 70KHz and the current patterns are fully guaranteed by separating the alarm circuit and PWM circuit as a sub-board from the main board. Measurement results shows that the output noise of the designed SMPS decreases below 32% of the conventional SMPS noise for various test conditions, and both the line and load regulations are improved.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.39 no.3
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• pp.44-52
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• 2002

In this paper, we present an analytical method for decision boundary feature extraction for neural networks. It has been shown that all the features necessary to achieve the same classification accuracy xxxas in the original space can be obtained from the vectors normal to decision boundaries. However, the vector normal to the decision boundary of a neural network has been calculated numerically using a gradient approximation. This process is time-consuming and the normal vector may be inaccurately estimated. In this paper, we propose a method to improve the performance of the previous decision boundary feature extraction for neural networks by accurately calculating the normal vector When the normal vectors are computed analytically, it is possible to reduce the processing time significantly and improve the performance of the previous implementation that employs numerical approximation.