• Title/Summary/Keyword: 단분산

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A Cooperative Signaling Structure using the ¾ - rate STBC in Wireless Networks with Rayleigh Fading Channels (레일레이 페이딩 채널의 무선 네트워크에서 ¾ STBC를 사용한 협력신호 구조에 관한 연구)

  • Khuong Ho Van;Kong Hyung-Yun;Choi Jeong-Ho
    • The KIPS Transactions:PartC
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    • v.13C no.7 s.110
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    • pp.865-872
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    • 2006
  • Cooperative communications (CC) have received a great deal of attention recently as an efficient way to obtain the spatial diversity without physical arrays. Thus, space-time block codes (STBC) which are well-known for use in co-located multi-antenna systems can be still utilized for single-antenna users in a distributed fashion. In this paper, we propose a cooperative signaling structure using the $\frac{3}{4}$-rate STBC and derive closed-form BER expression which takes the effect of network geometry and transmit power constraint into account. A variety of simulated and numerical results demonstrated the cooperation considerably outperforms the direct transmission when partners are located in appropriate positions.

The Streaming Method using Multiple Description Coding for cluster-based server with shared-nothing storage (비 공유 저장장치를 가지는 클러스터 기반 서버에서 다중 디스크립션 코딩을 이용한 스트리밍 방법)

  • Bak Yu-Hyeon;Kim Hag-Young;Kim Myung-Joon;Kim Kyong-Sok
    • The KIPS Transactions:PartA
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    • v.13A no.3 s.100
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    • pp.211-222
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    • 2006
  • The cluster system with shared-nothing storage cannot escape from the problem of skewed request toward specific contents. This paper, therefore, suggests streaming method using MDC (Multiple Description Coding) instead of using single original content; this method is able to cope with skewed request in shared-nothing storage server as well as to continue to provide services in case of the system failure. Also, the system can support adaptive streaming service according to user player type, network status, the load of server, and client.

Performance Improvement of a Buck Converter using a End-order Space Dithered Sigma-Delta Modulation based Random PWM Switching Scheme (2차 Space Dithered Sigma-Delta Modulation 기반의 Random PWM 스위칭 기법을 이용한 강압형 DC-DC 컨버터의 성능 개선)

  • Kim, Seo-Hyeong;Ju, Seong-Tak;Jung, Hea-Gwang;Lee, Kyo-Beum;Jung, Gyu-Bum
    • The Transactions of the Korean Institute of Power Electronics
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    • v.14 no.1
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    • pp.54-61
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    • 2009
  • This paper proposes the 2nd-order SDSDM (Space Dithered Sigma-Delta Modulation) for performance improvement of a buck converter. The PWM (Pulse Width Modulation) has a drawback in that power spectrum tends to be concentrated around the switching frequency. The resulting harmonic spikes cause a EMI(Electromagnetic Interference) and switching loss in semiconductor, etc. The 1st-order SDSDM scheme is a kind of DSDM for reducing these harmonic spikes. In this scheme, a switching frequency is spread through random dither generator placed on input part. In experimental result, the proposed 2nd-order SDSDM is confirmed by applying to a buck converter.

Performance Analysis on Clock Sychronization of CCK Modulation Scheme in Wireless LAN System (무선 LAN 시스템에서 CCK 변조방식의 클럭 동기 성능 분석)

  • 박정수;강희곡;조성언;조성준
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2004.05b
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    • pp.583-586
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    • 2004
  • In this paper, we have analyzed the performance of synchronization of CCK(Complementary Code Keying) modulation scheme used for IEEE 802.11g wireless LAM system supporting 54 Mbps of high speed data rate over 2.4 GHz. At receiver, the clock frequency offset is caused by noise or fading. This frequency error occurs the offset of clock timing and causes ISI. Therefore the tracking is required to reduce the clock timing offset. The DLL(Delay Lock Loop), asychronization mode, performing tacking the clock is used for the simulation. The simulation result shows jitter variance and BER performance in the AWGN and multipath fading channel environment.

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Determination of Sample Size and Comparison of Efficiency in Adaptive Cluster Sampling (적응집락추출에서 표본크기 결정과 추정량의 효율 비교)

  • NamKung, Pyong;Won, Hye-Kyoung;Choi, Jae-Hyuk
    • The Korean Journal of Applied Statistics
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    • v.20 no.3
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    • pp.605-618
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    • 2007
  • Adaptive sampling design is the selection procedure which depends on observed values of the variable of interest. It is the method which could be applied to the rare and unapproachable population. Adaptive cluster sampling strategies are more efficient than simple random sampling on equivalent sample size. Adaptive sampling with new estimators through the Rao-blackwell method have lower variance than Horvitz-Thompson (HT) and Hansen-Hurwitz (HH). Also, to determine suitable sample size, it was used expected sample and the method finding appropriate sample size by changing initial sample size were studied.

Design and Implementation of Cloud-based Data Management System for Large-scale USN (대규모 USN을 위한 클라우드기반 데이터 관리 시스템 설계 및 구현)

  • Kim, Kyong-Og;Jeong, Kyong-Jin;Park, Kyoung-Wook;Kim, Jong-Chan;Jang, Moon-Suk
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2010.10a
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    • pp.352-354
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    • 2010
  • Recently, the efficient management system for large-scale sensor data has been required due to the increasing deployment of large-scale sensor networks. In previous studies, sensor data was managed by distributed database system which built in a single server or a grid server. Thus, it has disadvantages such as low scalability, and high cost of building or managing the system. In this paper, we propose a cloud-based sensor data management system with low cast, high scalability, and efficiency. The proposed system can be work with the application of a variety of platforms, because processed results are provided through REST-based web service.

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Portfolio System Using Deep Learning (딥러닝을 활용한 자산분배 시스템)

  • Kim, SungSoo;Kim, Jong-In;Jung, Keechul
    • Journal of Korea Society of Industrial Information Systems
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    • v.24 no.1
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    • pp.23-30
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    • 2019
  • As deep learning with the network-based algorithms evolve, artificial intelligence is rapidly growing around the world. Among them, finance is expected to be the field where artificial intelligence is most used, and many studies have been done recently. The existing financial strategy using deep-run is vulnerable to volatility because it focuses on stock price forecasts for a single stock. Therefore, this study proposes to construct ETF products constructed through portfolio methods by calculating the stocks constituting funds by using deep learning. We analyze the performance of the proposed model in the KOSPI 100 index. Experimental results showed that the proposed model showed improved results in terms of returns or volatility.

Design of Distributed Processing Framework Based on H-RTGL One-class Classifier for Big Data (빅데이터를 위한 H-RTGL 기반 단일 분류기 분산 처리 프레임워크 설계)

  • Kim, Do Gyun;Choi, Jin Young
    • Journal of Korean Society for Quality Management
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    • v.48 no.4
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    • pp.553-566
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    • 2020
  • Purpose: The purpose of this study was to design a framework for generating one-class classification algorithm based on Hyper-Rectangle(H-RTGL) in a distributed environment connected by network. Methods: At first, we devised one-class classifier based on H-RTGL which can be performed by distributed computing nodes considering model and data parallelism. Then, we also designed facilitating components for execution of distributed processing. In the end, we validate both effectiveness and efficiency of the classifier obtained from the proposed framework by a numerical experiment using data set obtained from UCI machine learning repository. Results: We designed distributed processing framework capable of one-class classification based on H-RTGL in distributed environment consisting of physically separated computing nodes. It includes components for implementation of model and data parallelism, which enables distributed generation of classifier. From a numerical experiment, we could observe that there was no significant change of classification performance assessed by statistical test and elapsed time was reduced due to application of distributed processing in dataset with considerable size. Conclusion: Based on such result, we can conclude that application of distributed processing for generating classifier can preserve classification performance and it can improve the efficiency of classification algorithms. In addition, we suggested an idea for future research directions of this paper as well as limitation of our work.

Extraction of Region of Interest for Individual Object from a Foreground Image (전경영상에서 단일 객체의 관심 영역 추출을 위한 방법)

  • Yang, Hwiseok;Hwang, Yonghyeon;Cho, We-Duke;Choi, Yoo-Joo
    • Proceedings of the Korea Information Processing Society Conference
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    • 2010.04a
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    • pp.478-481
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    • 2010
  • 컴퓨터 비전에서 객체의 인식, 추적에 앞서 배경으로부터 전경을 분리하는 배경차감 기법과 분리된 전경에 대한 관심 영역(ROI)을 추출하는 것은 일반적인 방법이다. 하지만 전경을 정확히 분리하지 못하면 개별 객체의 관심영역(ROI) 역시 잘못 추출되는 문제가 발생된다. 본 논문에서는 정확하지 않은 전경 분리로 부터 발생되는 개별 객체에 대한 분산된 관심영역을 병합하는 방법을 제안한다. 본 방법은 배경과 분리된 전경에서 한 객체의 일정 거리 이내에 있는 다른 객체를 가상으로 병합하는 단계, 워터쉐드 분할 알고리즘을 적용하는 단계를 거쳐 다시 블럽 레이블링을 수행한다. 제안 방법을 통하여 배경 모델에서 분리된 개별 객체의 병합된 관심영역을 제공한다. 실험에서 기존의 일반적인 블럽 레이블링 방법만을 적용하여 추출한 전경영역과 제안하는 방법에 의한 전경영역을 비교하여 배경 모델에서 분리된 개별 객체의 관심영역이 효과적으로 추출되는 것을 보인다.

A STUDY OF THE STRESS DISTRIBUTION OF THE ABUTMENT AND SUPPORTING TISSUES ACCORDING TO THE SLOPES AND TYPES OF CHIDING FLAMES OF THE LAST ABUTMENT IN DISTAL EXTENSION REMOVABLE PARTIAL DENTURE USING THREE DIMENSIONAL FINITE ELEMENT ANALYSIS METHOD (국소의치 최후방 지대치 유도면의 기울기와 형태가 지대치 및 지지조직의 응력분산에 미치는 영향)

  • Kim, Yang-Kyo;Lee, Cheong-Hee;Jo, Kwang-Hun
    • The Journal of Korean Academy of Prosthodontics
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    • v.37 no.5
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    • pp.581-596
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    • 1999
  • The purpose of this study was to investigate the stress distribution of the abutment and sup-porting tissues according to the slopes and types of the guiding plane of distal extension removable partial dentures. The 3-dimensional finite element method was used and the finite element models were prepared as follows. Model I : Kratochvil type guiding plane with $90^{\circ}$ to residual ridge Model II : Kratochvil type guiding plane with $95^{\circ}$ to residual ridge Model III : Kratochvil type guiding plane with $100^{\circ}$ to residual ridge Model IV : Krol type guiding plane with $90^{\circ}$ to residual ridge Distal extension partial denture which right mandibular first and second molar were lost was used and the second premolar was prepared as primary abutment with RPI type retainer. Then 150N of compressive force was applied to central fossae of the first and second molars and von Mises stress and displacement were measured. The results were as follows 1. Model I and Model IV showed a similar stress distribution pattern and the stress was concentrated on the apex of the root of the abutment. 2. The stress was increased and concentrated on mesial side of the root of the abutment in Model II. The stress was concentrated on buccal and mesiobuccal side of the root of the abutment in Model IV. 3. In Model I, the root of the abutment displaced and twisted a little in clockwise. In Model IV, the root of the abutment displaced to distolingually at apical region of the root and mesiobuccally at cervical region of the root. 4. In Model II, the root of the abutment displaced to mesiolingually at apical region of the root and more displaced and twisted in counterclockwise at cervical region of the root. In Model III, the root of the abutment displaced to mesiobucally at apical region of the root and more displaced and twisted in clockwise at cervical region of the root.

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