• Journal of IKEEE
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• v.14 no.2
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• pp.16-23
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• 2010

Since the interest of a brain science research is increased recently, various devices using brain waves have been developed in the field of brain training game, education application and brain computer interface. In this paper, we have developed a portable EEG measurement and a bluetooth based wireless transmission device measuring brain waves from the frontal lob simply and conveniently. The low brain signals about 10~100${\mu}V$ was amplified into several volts and low pass, high pass and notch filter were designed for eliminating unwanted noise and 60Hz power noise. Also, PIC24F192 microcontroller has been used to convert analog brain signal into digital signal and transmit the signal into personal computer wirelessly. The sampling rate of 1KHz and bluetooth based wireless transmission with 38,400bps were used. The LabVIEW programing was used to receive and monitor the brain signals. The power spectrum of commercial biopac MP100 and that of a developed EEG system was compared for performance verification after the simulation signals of sine waves of $1{\mu}V$, 0~200Hz was inputed and processed by FFT transformation. As a result of comparison, the developed system showed good performance because frequency response of a developed system was similar to that of a commercial biopac MP100 inside the range of 30Hz specially.

• Proceedings of the CALSEC Conference
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• 1999.11a
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• pp.280-293
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• 1999

본 연구는 경영학 관련 분야에서 멀티미디어 기술의 경영학적 측면의 응용에 관한 연구의 중요성이나 필요성을 많은 학자들이 인식하고 있음에도 불구하고 아직 멀티미디어에 관한 연구가 전무한 실정에서 시도한 초기연구라는데 연구의 의의가 있다. 이러한 시점에서 교육공학과 경영정보학을 접목시킨 멀티미디어에 관한 연구는 상당히 중요할 것으로 판단된다. 이와 같이 본 연구는 경영정보학 분야에서 멀미미디어에 관한 연구로서는 초기의 연구로서, 본 연구가 가지는 연구의 필요성이나 중요성에 대해서는 우리들이 충분히 인식할 수 있을 것이다. 지금까지 국내외적으로 멀티미디어 정보시스템을 이용한 교육의 효과에 관한 연구는 몇 편의 탐색적 논문이 발견되고 있으나, 멀티미디어를 이용한 교육의 효과를 구성하는 요인이 무엇인지를 밝히기 위한 연구는 거의 전무한 실정이다 이러한 상황에서 멀티미디어를 이용한 교육의 효과를 구성하는 요인이 무엇이며, 구성요인 중 어떤 요인이 기업이나 학습자에게 가장 큰 효과를 가져다주는지를 밝히기 위한 연구는 현실적으로 상당히 중요하며 의미 있는 연구로 받아들여진다. 본 연구는 멀티미디어 정보시스템을 이용한 기업체 교육훈련의 효과요인을 도출하기 위하여 문헌연구와 실증적 연구를 병행 수행하였다. 우선 멀티미디어 정보시스템에 관한 문헌연구를 통하여 멀티미디어를 이용한 교육의 22가지 효과항목을 도출하였다. 다음으로 멀티미디어 정보시스템을 갖추고 있는 국내 5대 재벌 그룹연수원의 멀티미디어 교육실에서 교육을 받은 517명의 기업체 사원들을 대상으로 약 2개월간 설문조사를 실시하여 자료를 수집하고, 통계분석 패키지를 이용하여 자료를 분석하였다. 방식을 결합한 하이브리드 형태이다.인터넷으로 주문처리하고, 신속 안전한 배달을 기대한다. 더불어 고객은 현재 자신의 물건이 배달되는 경로를 알고싶어 한다. 웹을 통해 물건을 주문한 고객이 자신이 물건의 배달 상황을 웹에서 모니터링 한다면 기업은 고객으로 공간적인 제약으로 인한 불신을 불식시키는 신뢰감을 주게 된다. 이러한 고객서비스 향상과 물류비용 절감은 사이버 쇼핑몰이 전국 어디서나 우리의 안방에서 자연스럽게 점할 수 있는 상황을 만들 것이다.SP가 도입되어, 설계업무를 지원하기위한 기본적인 시스템 구조를 구상하게 된다. 이와 함께 IT Model을 구성하게 되는데, 객체지향적 접근 방법으로 Model을 생성하고 UML(Unified Modeling Language)을 Tool로 사용한다. 단계 4)는 Software Engineering 관점으로 접근한다. 이는 최종산물이라고 볼 수 있는 설계업무 지원 시스템을 Design하는 과정으로, 시스템에 사용될 데이터를 Design하는 과정과, 데이터를 기반으로 한 기능을 Design하는 과정으로 나눈다. 이를 통해 생성된 Model에 따라 최종적으로 Coding을 통하여 실제 시스템을 구축하게 된다.the making. program and policy decision making, The objectives of the study are to develop the methodology of modeling the socioeconomic evaluation, and build up the practical socioeconomic evaluation model of the HAN projec

• 한국노년학
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• v.36 no.3
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• pp.595-609
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• 2016

The purpose of this study was to test the effectiveness of an eight session self-management support program for improvement of patient activation, joint flexibility and health-related quality of life among medical aid beneficiaries with osteoarthritis. This study was part of a randomized and controlled research of a self-management support intervention. Participants were 60 medical aid beneficiaries who agreed to participate in this study, and were assigned to an experimental group (n=30) or control group (n=30). The 8-session and tailored program led by a trained case manager with the patient-centered approaches and cognitive-emotional-behavioral skills. Analysis included change in scores, ${\chi}^2-test$, Fisher's exact test, t-test and ANCOVA. The results showed significant increase in patient activation, joint flexibility (shoulder and right knee) except health-related quality of life in the experimental group compared to the control group. The self-management support program indicated an effect on patient activation and joint flexibility. Further research is needed to examine the outcome in the long term(9 and 12-month follow up).

• Composites Research
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• v.35 no.5
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• pp.303-308
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• 2022

PIC (Piecewise Integrated Composite) is a new concept for designing a composite structure with mosaically assigning various types of stacking sequences in order to improve mechanical properties of laminated composites. Also, machine learning is a sub-category of artificial intelligence, that refers to the process by which computers develop the ability to continuously learn from and make predictions based on data, then make adjustments without further programming. In the present study, the tapered box beam type PIC robot arm for carrying and transferring wide and thin LCD display was designed based on the machine learning in order to increase structural stiffness. Essential training data were collected from the reference elements, which were intentionally designated elements among finite element models, during preliminary FE analysis. Additionally, triaxiality values for each finite element were obtained for judging the dominant external loading type, such as tensile, compressive or shear. Training and evaluating machine learning model were conducted using the training data and loading types of elements were predicted in case the level accuracy was fulfilled. Three types of stacking sequences, which were to be known as robust toward specific loading types, were mosaically assigned to the PIC robot arm. Henceforth, the bending type FE analysis was carried out and its result claimed that the PIC robot arm showed increased stiffness compared to conventional uni-stacking sequence type composite robot arm.

• Journal of the Korea Society for Simulation
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• v.19 no.1
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• pp.63-71
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• 2010

In modern war, Intercept Performance of SAM(Surface to Air Missile) is gaining importance as range and precision of Missile and Guided Weapon on information warfare have been improved. An aerial defence system using Surface-to-air Radar and Guided Missile is needed to be built for prediction and defense from threatening aerial attack. When developing SAM, M&S is used to free from a time limit and a space restriction. M&S is widely applied to education, training, and design of newest Weapon System. This study was conducted to develop simulator for evaluation of Intercept Performance of SAM. In this study, architecture of Intercept Performance of SAM analysis simulator for estimation of Intercept Performance of various SAM was suggested and developed. The developed Intercept Performance of SAM analysis simulator was developed by C++ and Direct3D, and through 3D visualization using the Direct3D, it shows procedures of the simulation on a user animation window. Information about design and operation of Fighting model is entered through input window of the simulator, and simulation engine consisted of Object Manager, Operation Manager, and Integrated Manager conducts modeling and simulation automatically using the information, so the simulator gives user feedback in a short time.

• Convergence Security Journal
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• v.22 no.4
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• pp.35-44
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• 2022

Among the five promotion strategies of Defense Innovation 4.0(DI 4.0), the military structure/operation optimization strategy aims to innovate the military structure based on advanced science&technology(S&T), and to integrate advanced S&T in the field of defense operation such as education&training and human resource development. As the future battlefield expands to AI-based unmanned/robot combat systems, space, cyberspace, and electromagnetic fields, it is necessary to train officers with the capabilities required in these battlefields. It is necessary to develop capabilities from junior officers who will lead the future battlefield to operating core advanced power based on the 4^th industrial revolution S&T. We review the education system of the military in universities and propose a method of redesigning the education system that is compatible with DI 4.0 and can develop technology-intensive capabilities based on advanced S&T. We propose a operation plan of major and extra-programs that can develop the capabilities of junior officers required for the future battlefield, and also suggest ways to support the army's practical training.

• The KIPS Transactions:PartA
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• v.11A no.4
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• pp.243-250
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• 2004

Monitoring is used to see if a real-time system provides a service on time. Generally, monitoring for real-time focuses on investigating the current status of a real-time system. To support a stable performance of a real-time system, it should have not only a function to see the current status of real-time process but also a function to predict executions of real-time processes, however. The legacy prediction model has some limitation to apply it to a real-time monitoring. First, it performs a static prediction after a real-time process finished. Second, it needs a statistical pre-analysis before a prediction. Third, transition probability and data about clustering is not based on the current data. We propose the execution prediction model based on learning algorithm to solve these problems and apply it to real-time monitoring. This model gets rid of unnecessary pre-processing and supports a precise prediction based on current data. In addition, this supports multi-level prediction by a trend analysis of past execution data. Most of all, We designed the model to support dynamic prediction which is performed within a real-time process' execution. The results from some experiments show that the judgment accuracy is greater than 80% if the size of a training set is set to over 10, and, in the case of the multi-level prediction, that the prediction difference of the multi-level prediction is minimized if the number of execution is bigger than the size of a training set. The execution prediction model proposed in this model has some limitation that the model used the most simplest learning algorithm and that it didn't consider the multi-regional space model managing CPU, memory and I/O data. The execution prediction model based on a learning algorithm proposed in this paper is used in some areas related to real-time monitoring and control.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.35 no.6
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• pp.1357-1366
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• 2015

This study (II) aims to draw up the future-oriented construction policy recommendations based on the outcomes as a result of a broad research and conducting questionnaire surveys on the arguable issues raised by construction engineers for roads and bridges in the course of previous study (I) implementation. As for the question of "The term 'Construction Management (CM)' which currently is defined in two (2) ways", 45% of respondents have answered that two (2) different types of CM should be unified into one (1) CM type as is the case in most advanced countries. About the question of "The ways to educate the CM professionals", many respondents have preferred to acquire CM professional certificate after receiving education for a certain period of time from private CM training institutions. As for the question of The revised draft that the ICEC grade of special engineers for design, construction and quality control areas shall be "more than 78 points from a more than 75 points by the original draft." 52% of respondents preferred to maintain the original draft. About the question of "The reason why the CM system has not been working well yet." 62% of respondents have answered that the staff members who are in charge of handling public project procurements are concerned about the fact that their roles (or activities) might be deprived as a result of CM adoption. In order for the CM system to be activated, based on the notion that the construction projects must be out soured, the reshuffle of the headquarter organization of Ministry of Land, Infrastructure and Transportation (MLIT) should be preceded.

• Therapeutic Science for Rehabilitation
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• v.7 no.3
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• pp.47-58
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• 2018

Objective : This study was conducted to investigate the effects of iPad applications on improvement of attention and short-term memory in mild dementia. Methods : A single-case experimental study using A-B-A design was conducted. A total of 20 sessions, including 5 each for baseline phase A and A' and 10 for the intervention phase, were provided to the subject. Interventions were only provided during the intervention phase and were iOS-based iPad applications named "Memorado-Moving Balls" and "Circles." "Fit Brains-Matching Pairs" and "Fit-Brains-Spot the Difference" were used for each session to evaluate attention and short-term memory. MMSE-K, K-TMT-e A and B, and DST assessment tools were used pre- and post-intervention to assess attention and memory. Result : Fit Brains scores indicated improvement in both attention and memory during the intervention phase. K-TMT-e A showed 3 increased correct points and 3 reduced error points, and B showed 7 increased correct points and 2 reduced error points in post-tests, but the DST and MMSE-K showed no meaningful change. Conclusion : This single-case study identified improvements in attention and short-term memory in a person with mild dementia using iPad applications. Further studies regarding different applications and larger samples with long-term designs are necessary.

• The KIPS Transactions:PartB
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• v.15B no.5
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• pp.421-434
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• 2008

As computer graphics, virtual reality and augmented reality technologies have been developed, in many application areas based on those techniques, interaction for 3D space is required such as selection and manipulation of an 3D object. In this paper, we propose a framework for a vision-based 3D interaction which enables to simulate functions of an expensive 3D mouse for a desktop environment. The proposed framework includes a specially manufactured interaction device using three-color LEDs. By recognizing position and color of the LED from video sequences, various events of the mouse and 6 DOF interactions are supported. Since the proposed device is more intuitive and easier than an existing 3D mouse which is expensive and requires skilled manipulation, it can be used without additional learning or training. In this paper, we explain methods for making a pointing device using three-color LEDs which is one of the components of the proposed framework, calculating 3D position and orientation of the pointer and analyzing color of the LED from video sequences. We verify accuracy and usefulness of the proposed device by showing a measurement result of an error of the 3D position and orientation.