• Proceedings of the Korea Electromagnetic Engineering Society Conference
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• 2003.11a
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• pp.594-598
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• 2003

In this paper, we analyze the performance of UWB(Ultra-WideBand) communication system employing Bi-phase modulation and RAKE Receiver under the MAI(Multiple Access Interference) and the OSI(Other System Interference) environment. Using the multi-path channel model recommended by IEEE P802.15.TG3a, the performance degradation Is described with the number of users, the number of RAKE fingers and training sequences. To meet BER 10e-4 for 20 users at the same time, the number of RAKE fingers are proposed from 3 to 32. And the number of training sequences are limited less than 8 to keep the channel estimation error within 3dB

• Korean Journal of Human Ecology
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• v.24 no.2
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• pp.171-184
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• 2015

This study is aimed at proposing and managing a program to foster married immigrant women who have bilingual-bicultural abilities. Four stages of research processes were followed. Firstly, bilingual teacher training was contemplated field experience and preceding research. Secondly, specialist groups reviewed and verified considerations of content validity. Thirdly, seventeen valid participants were selected and they worked on programs of ten sessions. Fourthly, the effectiveness of the program was verified through a survey of satisfaction. This study has its significance as a program that reflects the theory and reality to establish their identity reinforce the capability and arouse the multi-cultural consciousness.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2009.01a
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• pp.254-257
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• 2009

In this paper, we propose a learning-based super-resolution algorithm. In the proposed algorithm, a multi-resolution wavelet approach is adopted to perform the synthesis of local high-frequency features. To obtain a high-resolution image, wavelet coefficients of two dominant LH- and HL-bands are estimated based on wavelet frames. In order to prepare more efficient training sets, the proposed algorithm utilizes the LH-band and transposed HL-band. The training sets are then used for the estimation of wavelet coefficients for both LH- and HL-bands. Using the estimated high frequency bands, a high resolution image is reconstructed via the wavelet transform. Experimental results demonstrate that the proposed scheme can synthesize high-quality images.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.50 no.10
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• pp.454-463
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• 2001

This paper presents a method for real-time estimation of TCSC reference quantity in order to enhance the power system transient stability energy margin using artificial neural network in multi-machine system. This paper has the three parts, the first part is to determine the lines to be installed by TCSC. The seconds is to estimate the energy margin using by ANN. To get the critical energy for training, we use the potential energy boundary surface(PEBS) method which is one of the transient energy function(TEF) method. And the last is to determine the TCSC reference quantity. In order to make training data for ANN in this step, we use genetic algorithm(GA). The proposed method is applied to 39-bus, 46-line. 10-machine model system to show its effectiveness.

• Journal of the Korean Institute of Rural Architecture
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• v.2 no.2
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• pp.35-46
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• 2000

The school space has been recognized only as the space for the education and training of children. However, since most of the school is located in the center of the regional community, the school space must be not only the space of the education and training of children, but the space for the regional inhabitants' community in the future. The present study is aiming to investigate the architectural background and to utilize the multi-use facilities of schools which are taken a role of facilities of gymnasium and auditorium.

• Phonetics and Speech Sciences
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• v.9 no.2
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• pp.95-101
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• 2017

This paper proposes a new method to train Deep Neural Network (DNN)-based acoustic models for speech recognition of native and foreign speakers. The proposed method consists of determining multi-set state clusters with various acoustic properties, training a DNN-based acoustic model, and recognizing speech based on the model. In the proposed method, hidden nodes of DNN are shared, but output nodes are separated to accommodate different acoustic properties for native and foreign speech. In an English speech recognition task for speakers of Korean and English respectively, the proposed method is shown to slightly improve recognition accuracy compared to the conventional multi-condition training method.

• Journal of the Korea Institute of Military Science and Technology
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• v.26 no.4
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• pp.361-370
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• 2023

Swarm has recently become a critical component of offensive and defensive systems. Multi-agent reinforcement learning(MARL) empowers swarm systems to handle a wide range of scenarios. However, the main challenge lies in MARL's scalability issue - as the number of agents increases, the performance of the learning decreases. In this study, transfer learning is applied to advanced MARL algorithm to resolve the scalability issue. Validation results show that the training efficiency has significantly improved, reducing computational time by 31 %.

• Journal of National Security and Military Science
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• s.7
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• pp.233-270
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• 2009

Serious game played with a computer in accordance with specific rules, that uses entertainment to further government or corporate training, education, health, public policy, and strategic communication objectives. The main goal of a serious game is usually to train or educate users while giving them an enjoyable experience. Serous games are video games with serious purposes such as teaching or training and whose principal aim is education. The major characteristics of serious games involve pedagogy which are all of the activities that educate, train, or instruct the player. Other characteristics of serious games are that they use entertainment principles, creativity and technology to build games that carry out serious purposes. This study is to introduce a serious game for the military training and to describe the elements of game design for developing it.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.22 no.12
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• pp.2613-2625
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• 1997

Theoretically, a multi-layered feedforward network has been known to be able to approximate a continuous function to an arbitrary degree of accuracy. However, these networks fail to approximate discontinuous functions when they are trained by well-known training algorithms. This paper presents a training algorithm which doesn't work consists of one or more modules, which are trained in a sequential order within subspaces of the input space, and is trained very rapidely once all modules are trained and merged. The experimantal results of applying this method indicates the proposed training algorithm is superior to traditional ones such as baskpagation.

• Proceedings of the Earthquake Engineering Society of Korea Conference
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• 2003.09a
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• pp.13-19
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• 2003

Discriminant method using seismic signal was studied for discrimination of surface explosion. By means of the seismic spectral characteristics, multi-variate discriminant analysis was performed. Four single discriminant techniques - Pg/Lg, Lg1/Lg2, Pg1/Pg2, and Rg/Lg - based on seismic source theory were applied to explosion and earthquake training data sets. The Pg/Lg discriminant technique was most effective among the four techniques. Nevertheless, it could not perfectly discriminate the samples of the training data sets. In this study, a compound linear discriminant analysis was defined by using common characteristics of the training data sets for the single discriminants. The compound linear discriminant analysis was used for the single discriminant as an independent variable. From this analysis, all the samples of the training data sets were correctly discriminated, and the probability of misclassification was lowered to 0.7％.