• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2016.05a
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• pp.181-185
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• 2016

In this paper we propose a VR-based Sailor Training Platform Authoring Tool which efficiently trains sailors in immersive ways. Proposed authoring tool consists of virtual environment reconstruction that imports real ship indoor environment into virtual environment and script editing which is able to implement various scenarios in emergency based on just drag-and-drop interface. The aim of importing real ship environment and supporting various VR devices is to enhance immersiveness and training so that trainees can deal with serious emergency events. Also the usefulness of the interface enables to reduce the cost of making training materials. Throughout scenario editing interface, the proposed authoring tool supports the editing of multi-user scenario and setting individual task for the evaluation.

• Journal of The Korean Society of Integrative Medicine
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• v.4 no.3
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• pp.109-119
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• 2016

Purpose : The purpose of this research is to find clinical effects of functional resistance training using weighted vest on gross motor and balance abilities of children with dyskinetic cerebral palsy. Methods : This study selects 3 subjects for 8~12 years old who were diagnosed with children with dyskinetic cerebral palsy. The Design is ABA design of single-subject research design. Baseline(A) and TypeII Baseline(A : 12weeks) phases were received with NDT treatment, Intervention(B : 12weeks) phase provided with 40 minute functional resistance training using weighted vest in a session twice a week. In order to analyze the measure results of gross motor function and performance, balance abilities in children dyskinetic cerebral palsy during baseline, intervention and typeII baseline phase. Result : A statistically significant differences in the total GMFM including walking/running/jumping during baseline, intervention, typeII baseline, but no significant differences in the lying/rolling, sitting, crawling/kneeling and standing. A statistically significant differences in the total GMPM including dissociated movement, coordination, weight shift, stability during baseline, intervention, typeII baseline, but no significant differences in the body alignment domains. A statistically significant differences in the length and surface area ellipse of center of pressure during baseline, intervention, typeII baseline. Conclusion : The intervention method to facilitate multi-joint and closed kinematic chain movement equipped weighted vest applied functional resistance training on children with dyskinetic cerebral palsy effectively improve on gross motor function and performance, balance abilities.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.33 no.5A
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• pp.479-486
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• 2008

In this paper, an efficient training symbol design with m-sequence is proposed for the MIMO-OFDM based next generation wireless transmission system which supports gigabits per second data rate. In the traditional blute force method, the preamble design is based on the case by case comparison with the system requirements. This paper discusses a training symbol design methodology for the MIMO-OFDM system based on the m-sequence which has been widely used in the spread spectrum communication areas due to its good correlation characteristics. Also the step-by-step design and performance verification method within the limited search space is discussed. The proposed method targets the design of the training symbol which satisfies system requirements for the packet based MIMO-OFDM wireless communication system including automatic gain control(AGC), timing synchronization, frequency and sampling offset estimation, and MIMO channel estimation.

• Women's Health Nursing
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• v.8 no.3
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• pp.325-334
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• 2002

To identify strategies to prevent sexual problems in teenage girls, respondents in this study answered two open-ended questions: "What are strategies for teenage school girls to prevent unwanted coitus?" and "What are strategies for teenage girls to prevent pregnancy?" The respondents were 12,733 girls from an accessible population of 19,000, a multi-stage cluster sample from a population of 1,988,902 girls attending 4,684 schools in the seven largest cities and nine provinces in Korea. Data were collected by mail between October 2 and October 28, 2000. The response rate was 68.9%. The total number of responses for the first question was 10,345, and for the second, 9,624. Data were analyzed by content analysis. The results of this study are: 1. According to priority, frequent strategies to prevent unwanted coitus were, self assertiveness (35.7%), heterosexual interaction training (24.6%), sex education (21.2%), and innovations in the system of social culture (4.7%). The order of priority was the same whether the respondents had experienced coitus or not. 2. According to priority, frequent strategies to prevent pregnancy were, heterosexual interaction training (27.4%), sex education (26.2%), contraceptive use and induced abortion (21.4%), and innovations in the system of social culture (3.2%). The first priority for the respondents who had not experienced coitus was heterosexual interaction training (27.7%) but contraceptive use (35.5%) was the first priority for the group who had experienced coitus. In sex education, a focus on contraceptive use for teenage girls who have experienced coitus and on heterosexual interaction training for those who have not, would strengthen preventive strategies for these two sexual problems. Assertiveness training as part of sex education would further strengthen prevention strategies.

• Journal of Advanced Navigation Technology
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• v.27 no.5
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• pp.534-539
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• 2023

Currently, in Korea, to obtain a jet type rating, you must receive training on a small business jet model. The reason is because of the law in the Aviation Safety Act Enforcement Rules 『Appendix 4』 that states, "You must receive at least 2 hours of flight training." In the end, it is acquiring type rating as a small business jet aircraft with relatively low operating costs. The qualifications acquired in this way are different from those for aircraft operated by airlines. However, if you have an initial jet type rating, you can acquire an airline aircraft qualification just by training on a simulator, so airlines want you to have at least a small-jet type rating. However, in the United States and Australia, there is a system in place to acquire initial jet type rating through simulator training without actual flight training.

• International Journal of Industrial Entomology and Biomaterials
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• v.14 no.1
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• pp.63-68
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• 2007

The response of silkworm, Bombyx mori L. to phytoecdysteroid (PE) when administered at different ages of $5^{th}$ instar was studied in the popular bivoltine ($CSR2{\times}CSR4$) and multi${\times}$bivoltine ($PM{\times}CSR2$) silkworm hybrids, reared on the Victory-1 variety of mulberry leaves. PE was administered to $5^{th}$ instar silkworm per os at a rate of $250{\mu}g$ per 100 larvae to different batches of silkworm at 0, 24, 48, 72, 96, 120, 144 hrs and at the onset of cocoon spinning when a few larvae were ripe. The larval and mounting duration, cocoon yield and cocoon characters were influenced by PE. The intensity of influence was dependent on the time of application. The larvae treated at the beginning of the instar, improved the economic traits significantly with a marginal increase in larval duration. In the larvae treated at the middle of the instar, larval duration was shortened remarkably but the economic traits were adversely affected. This particular treatment can become a good management strategy in the case of mulberry leaf shortage or disease incidence. In the larvae treated at the onset of cocoon spinning, the mounting duration was substantially reduced without much effect on the cocoon traits which would be a big benefit in commercial sericulture. The physiological significance of varied response of silkworm to PE administration is discussed.

• 제어로봇시스템학회:학술대회논문집
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• 2005.06a
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• pp.342-345
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• 2005

This paper describes dynamics analysis of a small training boat and a new type of ship's autopilot not only to keep her course but also to reduce her roll motion. Firstly, statistical analysis through multi-variate auto regressive model is carried out using the real data collected from the sea trial on an actual small training boat Sazanami after the navigational system of the boat was upgraded. It is shown that the roll motion is strongly influenced by the rudder motion and it is suggested that there is a possibility of reducing the roll motion by controlling the rudder order properly. Based on this observation, a new type of ship's autopilot that takes the roll motion into account is designed using the muti-variate modern control theory. Lastly, digital simulations by white noise are carried out in order to evaluate the proposed system and a typical result is demonstrated. As results of simulations, the proposed autopilot had good performance compared with the original data.

• 제어로봇시스템학회:학술대회논문집
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• 2005.06a
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• pp.308-313
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• 2005

For a real-time quadruped robot running control, there are many important objectives to consider. In this paper, the running control architecture based on global states, which describe the cyclic target motion, and central pattern is proposed. The main goal of the controller is how the robot can have robustness to an unpredictable environment with reducing calculation burden to generate control inputs. Additional goal is construction of a single framework controller to avoid discontinuities during transition between multi-framework controllers and of a training-free controller. The global state dependent neuron network induces adaptation ability to an environment and makes the training-free controller. The central pattern based approach makes the controller have a single framework, and calculation burden is resolved by extracting dynamic equations from the control loop. In our approach, the model of the quadruped robot is designed using anatomical information of a cat, and simulated in 3D dynamic environment. The simulation results show the proposed single framework controller is robustly performed in an unpredictable sloped terrain without training.

• The Bulletin of The Korean Astronomical Society
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• v.41 no.2
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• pp.54.2-54.2
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• 2016

We present a machine learning approach to estimating stellar atmospheric parameters, effective temperature (Teff), surface gravity (log g), and metallicity ([Fe/H]) for stars observed during the course of the Sloan Digital Sky Survey (SDSS). For training a neural network, we randomly sampled the SDSS data with stellar parameters available from SEGUE Stellar Parameter Pipeline (SSPP) to cover the parameter space as wide as possible. We selected stars that are not included in the training sample as validation sample to determine the accuracy and precision of each parameter. We also divided the training and validation samples into four groups that cover signal-to-noise ratio (S/N) of 10-20, 20-30, 30-50, and over 50 to assess the effect of S/N on the parameter estimation. We find from the comparison of the network-driven parameters with the SSPP ones the range of the uncertainties of 73~123 K in Teff, 0.18~0.42 dex in log g, and 0.12~0.25 dex in [Fe/H], respectively, depending on the S/N range adopted. We conclude that these precisions are high enough to study the chemical and kinematic properties of the Galactic disk and halo stars, and we will attempt to apply this technique to Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST), which plans to obtain about 8 million stellar spectra, in order to estimate stellar parameters.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.1
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• pp.368-391
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• 2018

Face recognition (FR) with a single sample per person (SSPP) is common in real-world face recognition applications. In this scenario, it is hard to predict intra-class variations of query samples by gallery samples due to the lack of sufficient training samples. Inspired by the fact that similar faces have similar intra-class variations, we propose a virtual sample generating algorithm called k nearest neighbors based virtual sample generating (kNNVSG) to enrich intra-class variation information for training samples. Furthermore, in order to use the intra-class variation information of the virtual samples generated by kNNVSG algorithm, we propose image set based multimanifold discriminant learning (ISMMDL) algorithm. For ISMMDL algorithm, it learns a projection matrix for each manifold modeled by the local patches of the images of each class, which aims to minimize the margins of intra-manifold and maximize the margins of inter-manifold simultaneously in low-dimensional feature space. Finally, by comprehensively using kNNVSG and ISMMDL algorithms, we propose k nearest neighbor virtual image set based multimanifold discriminant learning (kNNMMDL) approach for single sample face recognition (SSFR) tasks. Experimental results on AR, Multi-PIE and LFW face datasets demonstrate that our approach has promising abilities for SSFR with expression, illumination and disguise variations.