• Journal of the Korean Magnetics Society
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• v.17 no.6
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• pp.221-225
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• 2007

The effects of $Ga^+$ ion irradiation on the magnetic properties of the $Co_{73}Pt_{27}-TiO_2$ perpendicular magnetic recording media were investigated. As $Ga^+$ ion dose increased from $1\times10^{15}ions/cm^2\;to\;30\times10^{15}ions/cm^2$, the perpendicular magnetic anisotropy was degraded and no longer observed above $20\times10^{15}ions/cm^2$ dose. The deterioration of the perpendicular magnetic anisotropy and ferromagnetic properties can be attributed to the concentration profile change due to Ga+ ion implantation. The magnetic islands of $70\times70nm^2\;and\;100\times100nm^2$ size were successfully fabricated with $Ga^+$ ion irradiation.

• Journal of Service Research and Studies
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• v.5 no.2
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• pp.93-101
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• 2015

Today, various access security technology appeared in this society as a result of the informatization and automation. Most building, floor, or door security certification system for the office units are installed, but there are many inconvenient matters. In order to minimises this, we used the face recognition function via the camera, and various sensors. In this paper, I designed the access security system through physical computing which Arduino offered, facial recognition program, and Twitter. Check that the personal information stored in the individual RFID tag is matched to the personal information stored on the existing server. Face recognition program input the face using a camera, and allow to confirm the identity. The system's abnormal or when the unauthenticated person is to penetrate, the system transmits the Twitter status message to the manager. It was designed continuously to monitor the status in real time in this way.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.32 no.6
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• pp.341-348
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• 2019

The purpose of this study is to model and analyze retractable large spatial structures by applying parametric modeling techniques. The modeling of wind loads in the analysis of typical structures including curved surfaces can be error-prone, and the processing time increases dramatically when there are many types of variables. However, the method based on StrAuto that was developed in previous research, facilitates the efficacious assignment of wind loads to structures and the rapid arrival of conclusions. As a result, it is possible to compare alternatives with various loads, including wind loads, to determine an optimal alternative much faster than the existing process. Further, it is almost impossible to directly input the wind load by calculating the area of an irregularly curved surface. However, the proposed method automatically assigns the wind load, which allows for automatic optimization in a structural analysis system. The approach was applied and optimized using several models, and the results are presented.

• Journal of Fashion Business
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• v.17 no.4
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• pp.1-21
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• 2013

A study using compare and analyze about differences among three basic pants patterns(shape and size of pattern, fitting and amount of air gap and so on) through 3D simulation. This study use 3D simulation program, DC Suite version 3.0. The results are as a follows: The results of comparison about total pants pattern shape, the ESMOD have two tucks of front and one dart of back and the Secoli and On&on have each dart of front and back. The results of estimation about total appearance, the On&on is the best of all pattern about total silhouette of front and back side and the ESMOD is the worst of all. In a case of the ESMOD, the thigh part has so many spaces between body and pants so it is rated low. When we examine about space between body and pants, amount of air gap of ESMOD is 0.6 at waist circumference and next is On&on(0.07). In case of hip circumference, the Secoli is 0.08 and the ESMOD is 0.14. The ESMOD's amount of air gap is 0.32 at thigh circumference and 0.62 at knee circumference. The Secoli's amount air gap is 0.26 at thigh circumference and 0.59 at knee circumference.

• Journal of Korean Elementary Science Education
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• v.39 no.1
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• pp.117-132
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• 2020

The purpose of this study is to investigate elementary school teachers' awareness of Artificial Intelligence (AI) and find out how to apply it in elementary science education. The survey was conducted online and involved 95 teachers working in the metropolitan area. The results of this study are as follows. First, teachers need to learn about the general characteristics of AI and how to apply it to education. Second, science classes had the highest preference for AI among elementary school subjects. Third, the preference for AI application by elementary science field was 68.4% for earth and space, 54.7% for exercise and energy, 32.6% for matter, 27.4% for life. Fourth, AI-based Science Education (AISE) teaching- learning strategies were developed based on AI characteristics and the changing perspective of elementary science education, AISE's teaching-learning strategies are five: 'automation', 'individualization', 'diversification', 'cooperation' and 'creativity' and teachers can use them in teaching design, class practice and evaluation stages. Finally, the creative problem-solving Doing Thinking Making Sharing (DTMS) model was devised to implement the creativity strategy in AISE. This model consists of four-steps teaching courses: Doing, Thinking, Making and Sharing based on the empirical learning theory. In the future, follow-up research is needed to verify the effectiveness of this model by applying it to elementary science education.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.3
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• pp.503-509
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• 2014

In this paper, a PID controller with adaptive neural network compensator is proposed to control the formations of mobile robot. The control system is composed of a kinematic controller based on the leader-following robot and dynamic controller for considering the dynamics of the mobile robot. The dynamic controller is constituted by a PID controller and the adaptive neural network compensator for improving the performance and compensating the change in dynamic characteristics. Simulation results show the performance of the PID controller and the neural network compensator for the circular trajectory and linear trajectory. And it is verified that by improving the performance of a PID controller via the adaptive neural network compensator, the following robot's tracking performance is improved.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.4
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• pp.641-647
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• 2018

Recently, CCTV, which provides video information for multiple purposes, has been transformed into an intelligent, and the range of automation applications increased using the computer vision. A highly reliable detection method must be performed for accurate recognition of pedestrians and vehicles and various methods are being studied for this purpose. In such an object detection system. In this paper, we propose a method to detect a large number of pedestrians by acquiring three characteristic information that features of color information using HSI, motion vector information and shaping information using HOG feature information of a pedestrian in a situation where a large number of pedestrians are moving. The proposed method distinguishes each pedestrian while minimizing the failure or confusion of pedestrian detection and tracking. Also when pedestrians approach or overlap, pedestrians are identified and detected using stored frame feature data.

• The KIPS Transactions:PartD
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• v.14D no.7
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• pp.763-772
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• 2007

Due to increased software development cost, interest about the method and automated tool for reusing legacy system have been running high. Therefore, In this study, it proves the definition, concept and also background of legacy system by showing real market and technology trend. Automation tool is designed and developed to handle the concrete development methodology, procedure and reference. Also, we implemented the process that analyze the legacy system and extract, refine, store and reuse the candidate components by using LM(Legacy to Modern System) supporting tool presented in this paper. If LM supporting tool is applied to legacy system migration, we can expect cutting costs, shortening the developing period and succeeding the intellectual property by software re-engineering.

• The KIPS Transactions:PartA
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• v.12A no.6 s.96
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• pp.485-492
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• 2005

Currently workflows in business processes and distributed computing environments have provided service automation by connecting many tasks with rules and/or orderings. The services in ubiquitous computing environments have to automatically provide users with adaptive services according to dynamically changing contort information, which is obtained from both the users and their environment. To adapt these workflows to ubiquitous computing, we must specify the situation information on the transition conditions. In this paper, we propose uWDL, Ubiquitous Workflow Description Language, based on Web Services to use the situation information on the transition constraints of workflow's services. uWDL can select adaptive services according to contexts, profiles, and events information, which are situation information. Furthermore, we verified the execution of a scenario document described with uWDL using the parser and the context handler for uWDL. The scenario developers can use the uWDL scenario editor for a design of scenarios, and they can easily specify the transition condition of the services according the situation information of ubiquitous environments using the uWDL.

• Journal of Power Electronics
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• v.11 no.5
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• pp.759-766
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• 2011

This paper focuses on monitoring and predicting the short circuit faults of the rotor windings of large turbo-generator systems. For the purpose of increasing efficiency and decreasing maintenance cost, a method that combines the HHT (Hilbert Huang Transform) with a wavelet has been studied. This method is based on analyzing a classical Albright detecting coil. Due to the Empirical Mode Decomposition (EMD) and the Intrinsic Mode Functions (IMF) of the HHT the exact location of a short circuit of rotor windings may be given. However, a part of the useful information is eliminated by the unreasonable decomposing scale of the wavelet. Based on the thermodynamics modeling method, this study was illustrated with a 50MW turbo-generator system that is installed in Northern China. The analysis results, which have very good agreement with those of a previous study, show that the method of combining the HHT with a wavelet is an effective way to analyze and predict the short circuit faults of the rotor windings of large generators, such as supercritical turbo-generator systems and wind turbo-generator systems. This work can offer a useful reference for analyzing smart grids by improving the power quality of a distribution network that is supplied by a turbo-generator system.