• Title/Summary/Keyword: 위상 데이터 모델

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Symbol timing synchronization for OFDM by using QPSK modulation (QPSK변조를 이용한 OFDM 시스템의 심볼 타이밍 동기)

  • Kang, Eun-Su;Lim, Chae-Hyun;Han, Dong-Seog
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2006.11a
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    • pp.171-174
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    • 2006
  • OFDM(orthogonal frequency division modulation)은 주파수 선택적인 페이딩 환경에서 높은 전송율과 빠른 속도를 가지는 효율적인 전송 기법이다. 그러나 OFDM 심볼이 시작되는 지점을 정확히 찾지 못하면 시간 영역에서 위상회전으로 인해 수신 데이터의 BER(bit error rate)이 높아질 수 있다. QPSK(quadrature phase shift king)변조를 이용한 OFDM 시스템에선 정수배의 샘플 옵셋만 아니라 소수배의 샘플 옵셋까지 보상하여 동기를 획득해야 한다. QPSK 심볼 복조 시 소수배의 샘플 옵셋이 잔존할 경우 시스템의 수신 성능은 떨어지기 때문이다. 본 논문에서는 QPSK변조를 이용한 OFDM 시스템에서 소수배의 샘플 옵셋이 존재할 경우 동기를 획득하는 방법에 대해 제안한다. 본 논문에서 제안된 심볼 타이밍 동기 방법은 수신된 트레이닝 심볼의 상관관계를 이용하여 0.5 샘플 이전과 이후의 충격응답을 각각 구하여 이들을 차를 이용하여 동기를 획득한다. 제안한 심볼 타이밍 동기 기법의 성능은 멀티패스의 모델화 채널을 적용한 모의실험을 통하여 검증하였다.

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Design of Replication Manger for Content Metadata Management System (컨텐츠 메타데이터 관리시스템의 이중화 관리기 설계)

  • Jin, Ki-Sung;Lee, Mi-Young;Kim, June
    • Proceedings of the Korean Information Science Society Conference
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    • 2003.10b
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    • pp.67-69
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    • 2003
  • 데이터베이스 이중화는 데이터베이스의 복사본을 또 다른 서버로 복사하여 단일 서버에 집중되는 부하를 분산할 뿐만 아니라, 서버의 고장이 발생하더라도 정상 동작중인 다른 서버에서도 서비스가 가능하도록 하여 고성능 및 고가용성을 제공하기 위한 기술이다. 본 논문에서는 이러한 데이터베이스 이중화 기술을 CMM(Content Metadata Management)시스템에 적용하기 위한 방법에 대하여 기술한다. 제안하는 이중화 모델은 다중 위상구조의 환경에서 동작 가능하며 XML 문서와 같은 멀티미디어 객체에 대해서 복제를 지원한다. 또한 변경 로그를 이용하여 데이터베이스의 변경 사항을 복제 서버로 반영함으로써 데이터베이스의 동기화를 보장한다.

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Optimal Weight Initialization of Structure-Adaptive Self-Organizing Map with Genetic Algorithm (유전자 알고리즘을 이용한 구조 적응형 자기구성 지도의 자식 노드 가중치 초기화)

  • Kim, Hyun-Don;Cho, Sung-Bae
    • Proceedings of the Korea Information Processing Society Conference
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    • 2000.04a
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    • pp.89-93
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    • 2000
  • 구조 적응형 자기구성 지도는 일반적으로 자기구성 지도의 구조가 초기에 결정되어 학습이 끝날 때까지 변하지 않기 때문에 발생하는 문제를 해결하기 위해 지도의 구조를 학습 중에 적절하게 변경시킨다. 이때, 변화된 구조의 가중치를 어떻게 초기화시킬 것인가 하는 것이 중요한 문제이다. 이 논문에서는 기존의 비교사 학습방법에 LVQ 알고리즘을 이용한 교사 학습방법을 결합한 구조 적응형 자기구성 지도 모델에서 유전자 알고리즘을 이용하여 분화된 노드의 가중치를 결정하는 방법을 제안한다. 이 방법은 기존의 구조 적응형 자기구성 지도 알고리즘보다 빠르게 학습되었고, 인식률 면에서도 기존의 방법보다 높은 값을 나타내었으며, 자기구성 지도의 특성인 위상 보존도 잘 이루어졌다. 오프라인 필기 숫자 데이터로 실험한 결과, 제안한 방법이 유용함을 알 수 있었다.

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NEAR REAL-TIME IONOSPHERIC MODELING USING A RBGIONAL GPS NETWORK (지역적 GPS 관측망을 이용한 준실시간 전리층 모델링)

  • Choi, Byung-Kyu;Park, Jong-Uk;Chung, Jeong-Kyun;Park, Phil-Ho
    • Journal of Astronomy and Space Sciences
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    • v.22 no.3
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    • pp.283-292
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    • 2005
  • Ionosphere is deeply coupled to the space environment and introduces the perturbations to radio signal because of its electromagnetic characteristics. Therefore, the status of ionosphere can be estimated by analyzing the GPS signal errors which are penetrating the ionosphere and it can be the key to understand the global circulation and change in the upper atmosphere, and the characteristics of space weather. We used 9 GPS Continuously Operating Reference Stations (CORS), which have been operated by Korea Astronomy and Space Science Institute (KASI) , to determine the high precision of Total Electron Content (TEC) and the pseudorange data which is phase-leveled by a linear combination with carrier phase to reduce the inherent noise. We developed the method to model a regional ionosphere with grid form and its results over South Korea with $0.25^{\circ}\;by\;0.25^{\circ}$ spatial resolution. To improve the precision of ionosphere's TEC value, we applied IDW (Inverse Distance Weight) and Kalman Filtering method. The regional ionospheric model developed by this research was compared with GIMs (Global Ionosphere Maps) preduced by Ionosphere Working Group for 8 days and the results show $3\~4$ TECU difference in RMS values.

Formal Semantics of Relational Algebra/Calculus for Spatiotemporal Operator in Spatiotemporal Data Model (시공간 데이터 모델에서 시공간 연산자의 관계 수식적 정형의미)

  • Jo, Yeong-So;Kim, Dong-Ho;Ryu, Geun-Ho
    • The Transactions of the Korea Information Processing Society
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    • v.6 no.1
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    • pp.11-20
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    • 1999
  • Because conventional spatial databases process the spatial information that is valid at current time, it is difficult to manage historical information efficiently which has been changed from the past to current. Recently, there are rapid increasing of interest to solve this problem so that makes databases to support historical information as well as spatial management at the same time. It can be eventually used in a various application areas. The formal semantics in a database is used to represent database structures and operations in order to prove the correctiveness of them in terms or mathematics. It also plays an important role in database to design a database and database management system. So in this paper, we suggest spatiotemporal domain, object, data, and spatiotemporal geometric/topological operations. And we not only formalize relational algebra/calculus using formal semantics for a spatiotemporal data model, but also show the example of real orld with them.

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Implementation of Management System for Contamination Vulnerability Calibration of the Ground Water by an Object-oriented Geographic Data Model (객체지향 지리 데이터 모델에 의한 지하수의 오취약성 분석을 위한 관리시스템 구현)

  • Lee, Hong-Ro
    • Journal of the Korean Association of Geographic Information Studies
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    • v.6 no.2
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    • pp.101-112
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    • 2003
  • This paper designs and implements the management system that can calibrate the contamination vulnerability of the ground water, using an object oriented data model. Geographic-objects are specified by features extracted from an applicable geographic domain, and geographic-fields are defined by chemical factors extracted from each driven water. To show the topological relationships among the geographic-objects and the geographic-fields, this paper attach the weight and the ratio of the drastic model to chemical factors represented on the land use digital map and the ground water digital map. The geographic feature class, administrative boundary class, land use class and driven water class consist of a class composition hierarchy for evaluating the convenient contamination vulnerability calibration with spatial relationships among the well objects. Therefore, this management system for evaluating the contamination vulnerability can also contribute to the application of other natural environments.

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Finding Isolated Zones through Connectivity Relationship Analysis in Indoor Space (실내공간의 연결성 분석을 통한 고립지역 탐색)

  • Lee, Seul-Ji;Lee, Ji-Yeong
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.30 no.3
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    • pp.229-240
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    • 2012
  • In Korea, u-City has been constructed as IT-based new city with introduction of the ubiquitous concept. However, most currently provided u-services are just monitoring services based on the USN(Ubiquitous Sensor Network) technology, so spatial analysis is insufficient. Especially, buildings have been rapidly constructed and expanded in multi-levels, and people spend a lot of time in indoor space, so indoor spatial analysis is necessary. Therefore, connectivity relationship in indoor space is analyzed using the topological data model. Topological relationships could be redefined due to the dynamic changes of environment in indoor space, and changes could have an effect on analysis results. In this paper, the algorithms of finding isolated zones is developed by analyzing connectivity relationship between space objects in built-environments after changes of environment in indoor space due to specific situation such as fire. And the system that visualizes isolated zones as well as three-dimensional data structure of indoor space is developed to get the analysis result by using the analysis algorithms.

Optimization of Structure-Adaptive Self-Organizing Map Using Genetic Algorithm (유전자 알고리즘을 사용한 구조적응 자기구성 지도의 최적화)

  • 김현돈;조성배
    • Journal of the Korean Institute of Intelligent Systems
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    • v.11 no.3
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    • pp.223-230
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    • 2001
  • Since self-organizing map (SOM) preserves the topology of ordering in input spaces and trains itself by unsupervised algorithm, it is Llsed in many areas. However, SOM has a shortcoming: structure cannot be easily detcrmined without many trials-and-errors. Structure-adaptive self-orgnizing map (SASOM) which can adapt its structure as well as its weights overcome the shortcoming of self-organizing map: SASOM makes use of structure adaptation capability to place the nodes of prototype vectors into the pattern space accurately so as to make the decision boundmies as close to the class boundaries as possible. In this scheme, the initialization of weights of newly adapted nodes is important. This paper proposes a method which optimizes SASOM with genetic algorithm (GA) to determines the weight vector of newly split node. The leanling algorithm is a hybrid of unsupervised learning method and supervised learning method using LVQ algorithm. This proposed method not only shows higher performance than SASOM in terms of recognition rate and variation, but also preserves the topological order of input patterns well. Experiments with 2D pattern space data and handwritten digit database show that the proposed method is promising.

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Nondestructive Quantification of Corrosion in Cu Interconnects Using Smith Charts (스미스 차트를 이용한 구리 인터커텍트의 비파괴적 부식도 평가)

  • Minkyu Kang;Namgyeong Kim;Hyunwoo Nam;Tae Yeob Kang
    • Journal of the Microelectronics and Packaging Society
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    • v.31 no.2
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    • pp.28-35
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    • 2024
  • Corrosion inside electronic packages significantly impacts the system performance and reliability, necessitating non-destructive diagnostic techniques for system health management. This study aims to present a non-destructive method for assessing corrosion in copper interconnects using the Smith chart, a tool that integrates the magnitude and phase of complex impedance for visualization. For the experiment, specimens simulating copper transmission lines were subjected to temperature and humidity cycles according to the MIL-STD-810G standard to induce corrosion. The corrosion level of the specimen was quantitatively assessed and labeled based on color changes in the R channel. S-parameters and Smith charts with progressing corrosion stages showed unique patterns corresponding to five levels of corrosion, confirming the effectiveness of the Smith chart as a tool for corrosion assessment. Furthermore, by employing data augmentation, 4,444 Smith charts representing various corrosion levels were obtained, and artificial intelligence models were trained to output the corrosion stages of copper interconnects based on the input Smith charts. Among image classification-specialized CNN and Transformer models, the ConvNeXt model achieved the highest diagnostic performance with an accuracy of 89.4%. When diagnosing the corrosion using the Smith chart, it is possible to perform a non-destructive evaluation using electronic signals. Additionally, by integrating and visualizing signal magnitude and phase information, it is expected to perform an intuitive and noise-robust diagnosis.

Transients Analysis for Parameters on Electrical Distribution System (배전시스템에서의 파라미터에 따른 과도현상 분석)

  • 김재철;오정환;임성정
    • The Proceedings of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.11 no.3
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    • pp.88-96
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    • 1997
  • This paper analyzes the transients for parameters on electrical distribution system. We analyze the voltage sag and switching surge caused by reclosing and develope a distribution system model of multiground type using a practical data of 22.9(kV) distribution system. It is at customer that we analyze an affecting of reclosing through EMTP (Electromagnetic Transients Program) simulation, present transient phenomena on fault line and parallel line. Also. we analyze the various parameters affecting this phenomena in detail through parametric analysis. These factors include the fault location, load size, load power factor, capacitor bank size, and reclosing angle. And relation between these parameters and transient phenomena is presented.

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