• KIEAE Journal
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• v.16 no.1
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• pp.47-55
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• 2016

Purpose: Long-life housing causes unavoidable cost increase while providing higher durability, flexibility, and repair easiness compare to those of normal apartment. The effectiveness should be evaluated considering the level of passing mandatory Long-life housing Certification System when supplying specific size of apartment complex. Thus, it is essential to identify the estimated costs and the obtainable grade by applying the optional element technologies selectively during the design phase. This study aimed to suggest the technology influence matrix(TIM) to support decision-making of element technologies in planning stage of long-life housing. Method: The technology influence matrix was established based on the property information about applicable element technologies for long-life housing such as construction methods, interface types, cost data, and certification-related characteristics. The usefulness of TIM was verified through case study, in which TIM was applied to the exclusive housing unit and the influences from four areas of quantity, cost, certification, and schedule were identified and calculated. Result: TIMs covering four areas representing the essential planning factors were developed, and are expected to contribute to sound decision-making in planning long-life housing.

• Journal of The Korean Association of Information Education
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• v.15 no.4
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• pp.561-569
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• 2011

In order to solve the problems of the information society and the reverse function of chatting, there is a growing need of seeking out approachable educational methods. Therefore, we need to offer that addresses these issues ethical education from elementary school years where the creation of sound personality and its course may be hurt unless otherwise. Yet, there is no detailed curriculum for chatting education which is one of the detailed education areas. Also, how to offer and utilize the chatting education has never been mentioned. Moreover, only reverse function of information-driven changes have been emphasized whereas their desirable functions and information ethical principles have been simply neglected. The paper presents the effectiveness for improvement the school chatting education.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2000.05a
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• pp.386-391
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• 2000

Due to its characteristics of acoustic wave energy absorption, punched structures are generally applied on the wall of anechoic room. When the acoustic wave propagates through the punched plates, its energy dissipates into thermal energy by flow separation induced from the viscosity of acoustic media. The acoustic pressure difference between the for-side and the aft-side of punched plate ran be represented by the sum of drag term proportional to square of velocity and inertia term proportional to acceleration. The way to get the coefficients of the terms by an experiment or relatively simple calculation is introduced.

• Proceedings of the KSR Conference
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• 2007.11a
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• pp.1042-1049
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• 2007

Recently, a theoretically-sound design approach, using an elastic multilayer model, is attempted in trackbed designs for the construction of high speed railways and new lines of conventional railways. In the elastic multilayer model, the stress-dependent resilient modulus($E_R$) is an important input parameter, that is, reflects substructure performance under repeated traffic loading. However, the evaluation method for resilient modulus using repeated loading triaxial test is not fully developed for practical purpose, because of costly equipment and the significantly fluctuated values depending on the testing equipment and laboratory personnel. In this study, the paper will present an indirect method to estimate the resilient modulus using dynamic properties. The resilient modulus of crushed stone, which is the typical material of sub-ballast, was calculated with the measured dynamic properties and the range of stress level of the sub-ballast, and approximated with the power model combined with bulk and deviatoric stresses. The resilient modulus of coarse grained material decreases with increasing deviatoric stress at a confining pressure, and increases with increasing bulk stress. Sandy soil(SM classified from Unified Soil Classification System) of subgrade was also evaluated and best fitted with the power model of deviatoric stress only.

• Proceedings of the Korea Society of Costume Conference
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• 2001.08a
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• pp.59-61
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• 2001

Along with the development of culture, dress of the Chinese people has also evolved over the last several thousand years, transcending its original functions of covering and protecting the body. As a result it has risen to become a complicated system of symbols full of intricate meanings. According to de Saussure's theory of "signs," signs are represented by the elements signified (meaning) (referent) and signifiant (sound) (exponent). "Phoenix crowns" were the headpieces most highly esteemed by women in ancient China. Actually, the name "phoenix crown" points to the fact that the headpiece is adorned with a phoenix design. The history and symbolism of the phoenix crown's use as a headpiece in Chinese weddings spans 1200 years in all, originating in the Qin Dynasty (241-210 BC) as a phoenix hairpin, evolving into the phoenix crown during the Song Dynasty (960-1276 AD), and continuing through the Ming and Qing Dynasties (1644-1911 AD), and the modem republic. It is not simply an ornamental headpiece, but instead represents the thousands of years or rich inner meaning the Chinese attribute to "dragons" and "phoenixes." This paper depicts the glorious past of phoenix crowns, using the metaphor and metonymy theories of semiology and semantics, and through the cross-verification of literature research archeological findings and reports, and old Chinese wedding photographs, in order to examine the inherent meanings of the phoenix crown in the Chinese culture.nings of the phoenix crown in the Chinese culture.

• Proceedings of the Korea Information Processing Society Conference
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• 2005.11a
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• pp.1433-1436
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• 2005

임베디드 시스템의 발전으로 현재 진보된 로봇 시스템들은 운영 체제, 비젼 시스템 및 센서 시스템들을 별도의 호스트 PC의 도움 없이 독립적으로 탑재하여 가동 시킬 수 있다. 본 논문에서는 임베디드 시스템을 이용한 SBER (Small Biped Entertainment Robot)에 필요한 로봇의 제어기 구조와 로봇에 최적화된 임베디드 시스템을 구현한다. 또한 주 프로세서와 주 컨트롤러를 탑재한 최적화된 소형 엔터테인먼트 이족 로봇 개발을 목적으로 한다. SBER은 TI사의 DSP인 TMS320LF2407A를 로봇의 주 컨트롤러로 사용하여 로봇의 관절 제어를 통한 기본적인 보행 실험과 음원의 위치를 파악하기 위한 음원 위치 추적 문제를(Sound Localization) 수행한다. 또한 Intel사의 PXA255A를 주 프로세서로 사용하여 연산량이 높은 영상처리 알고리즘과 감정 표현, 장애물 인식 및 장애물 회피를 적용하여 보다 지능적인 로봇 시스템을 구현한다.

• Proceedings of the KIEE Conference
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• 2002.07d
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• pp.2821-2823
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• 2002

In this paper we propose the Multi-FNN (Fuzzy-Neural Networks) for optimal identification modeling of complex system. The proposed Multi-FNNs is based on a concept of FNNs and exploit linear inference being treated as generic inference mechanisms. In the networks learning, backpropagation(BP) algorithm of neural networks is used to updata the parameters of the network in order to control of nonlinear process with complexity and uncertainty of data, proposed model use a HCM(Hard C-Means)clustering algorithm which carry out the input-output dat a preprocessing function and Genetic Algorithm which carry out optimization of model The HCM clustering method is utilized to determine the structure of Multi-FNNs. The parameters of Multi-FNN model such as apexes of membership function, learning rates, and momentum coefficients are adjusted using genetic algorithms. An aggregate performance index with a weighting factor is proposed in order to achieve a sound balance between approximation and generalization abilities of the model. NOx emission process data of gas turbine power plant is simulated in order to confirm the efficiency and feasibility of the proposed approach in this paper.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.10a
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• pp.489-491
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• 2013

In this paper, Electronic Drum based on Arduino and Processing language to communicate with a computer is implemented. First, we made a drum pad by using piezoelectric sensors. The drum pads prevent damage to the sensor and new mechanism was fabricated to mitigate the impact structure. Arduino connected to the pad, the sensor detects a signal when the shock sends it to Arduino. The received signal of Arduino sends a signal to the computer, and the signal received is stored in the computer to output sound of the drum. Through this structure, the micro-controller, the computer and communications technology can be combined and applicable to a many system.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.6 no.1
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• pp.27-32
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• 2006

Verbal communication is the most commonly used mean of communication. A spoken word carries a lot of informations about speakers and their emotional states. In this paper we designed a model to recognize emotional states in a speech, a first phase of two phases in developing a toy machine that recognizes emotional states in a speech. We conducted an experiment to extract and analyse the emotional state of a speaker in relation with speech. To analyse the signal output we referred to three characteristics of sound as vector inputs and they are the followings: frequency, intensity, and period of tones. Also we made use of eight basic emotional parameters: surprise, anger, sadness, expectancy, acceptance, joy, hate, and fear which were portrayed by five selected students. In order to facilitate the differentiation of each spectrum features, we used the wavelet transform analysis. We applied ANFIS (Adaptive Neuro Fuzzy Inference System) in designing an emotion recognition model from a speech. In our findings, inference error was about 10%. The result of our experiment reveals that about 85% of the model applied is effective and reliable.

• Proceedings of the KIEE Conference
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• 2003.07d
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• pp.2627-2629
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• 2003

In this paper, we propose a new architecture of Genetic Algorithms(GAs)-based Self-Organizing Polynomial Neural Networks(SOPNN). The conventional SOPNN is based on the extended Group Method of Data Handling(GMDH) method and utilized the polynomial order (viz. linear, quadratic, and modified quadratic) as well as the number of node inputs fixed (selected in advance by designer) at Polynomial Neurons (or nodes) located in each layer through a growth process of the network. Moreover it does not guarantee that the SOPNN generated through learning has the optimal network architecture. But the proposed GA-based SOPNN enable the architecture to be a structurally more optimized networks, and to be much more flexible and preferable neural network than the conventional SOPNN. An aggregate performance index with a weighting factor is proposed in order to achieve a sound balance between approximation and generalization (predictive) abilities of the model. To evaluate the performance of the GA-based SOPNN, the model is experimented with using nonlinear system data.