• Title/Summary/Keyword: 구현단계

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Security-Enhanced Key Establishment Scheme for Key Infection (Key Infection의 보안성 향상을 위한 개선된 키 설정 방법)

  • Hwang Young-Sik;Han Seung-Wan;Nam Taek-Yong
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.43 no.7 s.349
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    • pp.24-31
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    • 2006
  • Traditional security mechanisms do not work well in the sensor network area due to the sensor's resource constraints. Therefore security issues are challenging problems on realization of the sensor network. Among them, the key establishment is one of the most important and challenging security primitives which establish initial associations between two nodes for secure communications. Recently, R. Anderson et al. proposed one of the promising key establishment schemes for commodity sensor network called Key Infection. However, key infection has an intrinsic vulnerability that there are some areas where adversaries can eavesdrop on the transferred key information at initial key establishment time. Therefore, in this paper, we propose a security-enhanced key establishment scheme for key infection by suggesting a mechanism which effectively reduces the vulnerable areas. The proposed security mechanism uses other neighbor nodes' additional key information to establish pair-wise key at the initial key establishment time. By using the additional key information, we can establish security-enhanced key establishment, since the vulnerable area is decreased than the key infection's. We also evaluate our scheme by comparing it with key infection using logical and mathematical analysis.

Welfare Interface using Multiple Facial Features Tracking (다중 얼굴 특징 추적을 이용한 복지형 인터페이스)

  • Ju, Jin-Sun;Shin, Yun-Hee;Kim, Eun-Yi
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.45 no.1
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    • pp.75-83
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    • 2008
  • We propose a welfare interface using multiple fecial features tracking, which can efficiently implement various mouse operations. The proposed system consist of five modules: face detection, eye detection, mouth detection, facial feature tracking, and mouse control. The facial region is first obtained using skin-color model and connected-component analysis(CCs). Thereafter the eye regions are localized using neutral network(NN)-based texture classifier that discriminates the facial region into eye class and non-eye class, and then mouth region is localized using edge detector. Once eye and mouth regions are localized they are continuously and correctly tracking by mean-shift algorithm and template matching, respectively. Based on the tracking results, mouse operations such as movement or click are implemented. To assess the validity of the proposed system, it was applied to the interface system for web browser and was tested on a group of 25 users. The results show that our system have the accuracy of 99% and process more than 21 frame/sec on PC for the $320{\times}240$ size input image, as such it can supply a user-friendly and convenient access to a computer in real-time operation.

Distributed Multi-channel Assignment Scheme Based on Hops in Wireless Mesh Networks (무선 메쉬 네트워크를 위한 홉 기반 분산형 다중 채널 할당 방안)

  • Kum, Dong-Won;Choi, Jae-In;Lee, Sung-Hyup;Cho, You-Ze
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.44 no.5
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    • pp.1-6
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    • 2007
  • In wireless mesh networks (WMNs), the end-to-end throughput of a flow decreases drastically according to the traversed number of hops due to interference among different hops of the same flow in addition to interference between hops of different flows with different paths. This paper proposes a distributed multi-channel assignment scheme based on hops (DMASH) to improve the performance of a static WMN. The proposed DMASH is a novel distributed multi-channel assignment scheme based on hops to enhance the end-to-end throughput by reducing interference between channels when transmitting packets in the IEEE 802.11 based multi-interface environments. The DMASH assigns a channel group to each hop, which has no interference between adjacent hops from a gateway in channel assignment phase, then each node selects its channel randomly among the channel group. Since the DMASH is a distributed scheme with unmanaged and auto-configuration of channel assignment, it has a less overhead and implementation complexity in algorithm than centralized multi-channel assignment schemes. Simulation results using the NS-2 showed that the DMASH could improve remarkably the total network throughput in multi-hop environments, comparing with a random channel assignment scheme.

Development of the KOSPI (Korea Composite Stock Price Index) forecast model using neural network and statistical methods) (신경 회로망과 통계적 기법을 이용한 종합주가지수 예측 모형의 개발)

  • Lee, Eun-Jin;Min, Chul-Hong;Kim, Tae-Seon
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.45 no.5
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    • pp.95-101
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    • 2008
  • Modeling of stock prices forecast has been considered as one of the most difficult problem to develop accurately since stock prices are highly correlated with various environmental conditions including economics and political situation. In this paper, we propose a agent system approach to predict Korea Composite Stock Price Index (KOSPI) using neural network and statistical methods. To minimize mean of prediction error and variation of prediction error, agent system includes sub-agent modules for feature extraction, variables selection, forecast engine selection, and forecasting results analysis. As a first step to develop agent system for KOSPI forecasting, twelve economic indices are selected from twenty two basic standard economic indices using principal component analysis. From selected twelve economic indices, prediction model input variables are chosen again using best-subsets regression method. Two different types data are tested for KOSPI forecasting and the Prediction results showed 11.92 points of root mean squared error for consecutive thirty days of prediction. Also, it is shown that proposed agent system approach for KOSPI forecast is effective since required types and numbers of prediction variables are time-varying, so adaptable selection of modeling inputs and prediction engine are essential for reliable and accurate forecast model.

A Study on the 3D Modeling Solution Development for Design Efficiency in Furniture Industry (가구산업의 설계 효율화를 위한 3D Modeling Solution 개발에 관한 연구)

  • 한찬희;이창호
    • Proceedings of the Safety Management and Science Conference
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    • 2003.05a
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    • pp.43-51
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    • 2003
  • 제품 설계 및 디자인의 과정이 고도로 높은 기술력을 바탕으로 이루어지고 있으며, 국내의 기업체도 우수한 기술력과 높은 품질로 경쟁력을 키우며 다양한 고객의 요구에 대응하여 고객만족을 꾀하여야 한다 이의 기반이 되는 제품의 품질과 사양은 설계에서 시작되는데 아직 국내의 많은 기업들은 설계 및 제작 단계에서 많은 시간과 비용을 낭비하고 있다. 3D Modeling Solution은 설계오류가 적으며 시각적인 설계를 할 수 있어 최소의 인력으로 제품을 설계할 수 있는 장점이 있지만 너무 많은 기능으로 인해 사용자가 쉽게 적용하고 사용하기 어려운 단점을 가지고 있다. 본 연구에서는 이러한 산업현장의 어려움을 덜기 위해 3D 전용 Modeling Solution에 사용자가 쉽게 부품을 조림할 수 있는 엔진을 접목시켜 누구나 사용가능하고 신속한 신제품 개발이 이루어지도록 하였다. 본 연구에서는 Autodesk사의 Inventor와 Microsoft Visual Basic으로 Inventor에서 제공하고 있는 API함수를 이용하여 조립자동화를 위한 조립조건 생성, 조립자동화, 부품 재질변경, 수동조립 그리고 부품의 DB화를 구현하였다. 이 프로그램은 조립조건 설정 폼을 이용하여 부품의 조립속성을 생성하고 부품조립 폼을 이용하여 조립자동화를 실행할 수 있도록 하였다. 또한 모든 부품을 Database화 하여 부품을 손쉽게 탐색할 수 있으며, 추후에도 언제든지 재사용이 가능하여 제품설계 효율성을 극대화 할 수 있다. 현장 적용 시 신속한 신제품 개발과 품질의 우수성으로 고객만족을 꾀할 수 있으며, 시간과 비용을 동시에 줄여 경쟁사와의 경쟁우위를 높이는 해결책이 될 수 있다.-110 마이크로프로세서와 21285 주제어기가 장착된 EBSA-285 보드이다. 측정하면서 수행하였다. 검증 결과 random 상태에서는 문헌자료에 부합되는 예측결과를 보여주었으나, intermediate와 constant 상태에서는 문헌보다 다소 낮은 속도를 보여주었다 이러한 속도차는 추후 현장 데이터를 수집하여 보다 실질적인 검증을 통하여 조정되어야 할 것으로 판단된다.지발광(1.26초)보다 구애발광(1.12초)에서 0.88배 감소하였고, 암컷에서 정지발광(2.99초)보다 구애발광(1.06초)에서 0.35배 감소하였다. 발광양상에서 발광주파수는 수짓의 정지발광에서 0.8 Hz, 수컷 구애발광에서 0.9 Hz, 암컷의 정지발광에서 0.3 Hz, 암컷의 구애발광에서 0.9 Hz로 각각 나타났다. H. papariensis의 발광파장영역은 400 nm에서 700 nm에 이르는 모든 영역에서 확인되었으며 가장 높은 첨두치는 600 nm에 있고 500에서 600 nm 사이의 파장대가 가장 두드러지게 나타났다. 발광양상과 어우러진 교미행동은 Hp system과 같은 결과를 얻었다.하는 방법을 제안한다. 즉 채널 액세스 확률을 각 슬롯에서 예약상태에 있는 음성 단말의 수뿐만 아니라 각 슬롯에서 예약을 하려고 하는 단말의 수에 기초하여 산출하는 방법을 제안하고 이의 성능을 분석하였다. 시뮬레이션에 의해 새로 제안된 채널 허용 확률을 산출하는 방식의 성능을 비교한 결과 기존에 제안된 방법들보다 상당한 성능의 향상을 볼 수 있었다., 인삼이 성장될 때 부분적인 영양상태의 불충분이나 기후 등에 따른 영향을 받을 수 있기 때문에 앞으로 이에 대한 많은 연구가 이루어져야할 것으로 판단된다.

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Nano-scale Information Materials Using Organic/Inorganic Templates (유기/무기 나노 템플레이트를 이용한 나노 정보소재 합성 연구)

  • Lee, Jeon-Kook;Jeung, Won-Young
    • Journal of the Korean Magnetics Society
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    • v.14 no.4
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    • pp.149-161
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    • 2004
  • The fusion of nano technology and information technology is essential to sustain the present growth rate and to induce new industry in this ever-growing information age. Considering Korean industry whose competitiveness lies heavily on information related technologies, this field will be inevitable for future. Nano materials can be described as novel materials whose size of elemental structure has been engineered at the nanometer scale. Materials in the nanometer size range exhibit fundamentally new behavior, as their size falls below the critical length scale associated with any given property. " Bottom-up' techniques involve manipulating individual atoms and molecules. Bottom-up process usually implies controlled or directed self assembly of atoms and molecules into nano structures. It resembles more closely the processes of biology and chemistry, where atoms and molecules come together to create structures such as crystals or living cells. Nano scale sensors are included in the electronics area since the diverse sensing mechanisms are often housed on a semiconductor substrate and usually give rise to an electronic signal. The application of nano technology to the chemical sensors should allow improvements in functionality such as gas sensing. In this presentation, we will discuss about the nano scale information materials and devices fabricated by using the organic/inorganic nano templates.

A study on in-flight acoustic load reduction in launch vehicle fairing by FE-SEA hybrid method (FE-SEA 하이브리드 기법을 이용한 비행 중 발사체 페어링 내부 음향하중 저감에 관한 연구)

  • Choi, Injeong;Park, Seoryong;Lee, Soogab
    • The Journal of the Acoustical Society of Korea
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    • v.39 no.4
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    • pp.351-363
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    • 2020
  • Launch vehicles are subject to airborne acoustic loads during atmospheric flight and these effects become pronounced especially in transonic region. As the vibration due to the acoustic loads can cause malfunction of payloads, it is essential to predict and reduce the acoustic loads. In this study, a complete process has been developed for predicting airborne vibro-acoustic environment inside the payload pairing and subsequent noise reduction procedure employing acoustic blankets and Helmholtz resonators. Acoustic loads were predicted by Reynolds-Averaged Navier-Stokes (RANS) analysis and a semi-empirical model for pressure fluctuation inside turbulent boundary layer. Coupled vibro-acoustic analysis was performed using VA One SEA's Finite Element Statistical Energy Analysis (FE-SEA) hybrid module and ANSYS APDL. The process has been applied to a hammerhead launch vehicle to evaluate the effect of acoustic load reduction and accordingly to verify the effectiveness of the process. The presently developed process enables to obtain quick analysis result with reasonable accuracy and thus is expected to be useful in the initial design phase of a launch vehicle.

A Mechanical Information Model of Line Heating Process using Artificial Neural Network (인공신경망을 이용한 선상가열 공정의 역학정보모델)

  • Park, Sung-Gun;Kim, Won-Don;Shin, Jong-Gye
    • Journal of the Society of Naval Architects of Korea
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    • v.34 no.1
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    • pp.122-129
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    • 1997
  • Thermo-elastic-plastic analyses used in solving plate forming process are often computationally expensive. To obtain an optimal process of line heating typically requires numerous iterations between the simulation and a finite element analysis. This process often becomes prohibitive due to the amount of computer time required for numerical simulation of line heating process. Therefore, a new techniques that could significantly reduce the computer time required to solve a complex analysis problem would be beneficial. In this paper, we considered factors that influence the bending effect by line heating and developed inference engine by using the concept of artificial neural network. To verify the validity of the neural network, we used results obtained from numerical analysis. We trained the neural network with the data made from numerical analysis and experiments varying the structure of neural network, in other words varying the number of hidden layers and the number of neurons in each hidden layers. From that we concluded that if the number of neurons in each hidden layers is large enough neural network having two hidden layers can be trained easily and errors between exact value and results obtained from trained network are not so large. Consequently, if there are enough number of training pairs, artificial neural network can infer similar results. Based on the numerical results, we applied the artificial neural network technique to deal with mechanical behavior of line heating at simulation stage effectively.

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Development of Teaching-Learning Materials and Analysis of Learning Experience Based on Design Thinking in Home Economics Curriculum: Focused on the Units of Sustainable Consumption (디자인씽킹을 적용한 가정과 교수·학습자료 개발 및 학습 경험 분석: 지속가능한 소비 단원을 중심으로)

  • Yuk, Kyung Min
    • Journal of Korean Home Economics Education Association
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    • v.32 no.1
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    • pp.145-165
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    • 2020
  • This study developed teaching-learning materials for 10 class periods that applies design thinking process for the units of 'sustainable consumption' of home economic subject, and examined the learning experience of students in the class. After the classes, reflection journals and in-depth interviews from 276 male and female students in ten classes were analyzed. The main results are as follows: The five steps of the design thinking process of the Stanford University d-School were applied to develop teaching-learning materials for the 'Sustainable Consumption Practice Book Creation Project'. Students' positive learning experience was evidenced through sustainable consumption classes that applied design thinking. The students were able to reflect through the experience of sympathizing with the real problem, and experienced an improvement in problem-solving ability through the process of idea construction and prototyping. Students expressed difficulties in reaching consensus among the members, and in devising ideas and implementing prototypes. Based on the learning experience of students this study, it is suggested that home economic teachers further develop and implement classes of various topics to which design thinking process is applied. A future study may need to verify the effectiveness of home economic classes to which design thinking is applied.

Construction Business Automation System (건설사업 자동화 시스템)

  • Lee, Dong-Eun
    • Proceedings of the Korean Institute Of Construction Engineering and Management
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    • 2007.11a
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    • pp.95-102
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    • 2007
  • This paper presents the core technology of Construction Business Process Automation to model and automate construction business processes. Business Process Reengineering (BPR) and Automation (BPA) have been recognized as one of the important aspects in construction business management. However, BPR requires a lot of efforts to identify, document, implement, execute, maintain, and keep track thousands of business processes to deliver a project. Moreover, existing BPA technologies used in existing Enterprise Resource Planning (ERP) systems do not lend themselves to effective scalability for construction business process management. Application of Workflow and Object Technologies would be quite effective in implementing a scalable enterprise application for construction business processes by addressing how: 1) Automated construction management tasks are developed as software components, 2) The process modeling is facilitated by dragging-and dropping task components in a network, 3) Raising business requests and instantiating corresponding process instances are delivered, and 4) Business process instances are executed by using workflow technology based on real-time simulation engine. This paper presents how the construction business process automation is achieved by using equipment reservation and cancellation processes simplified intentionally.

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