• 제목/요약/키워드: data rate

검색결과 21,701건 처리시간 0.039초

${\sum}-{\Delta}$ modulator의 구조를 갖는A/D 변환기 설계 (A Design on the A/D converter with architective of ${\sum}-{\Delta}$)

  • 윤정식;정정화
    • 한국통신학회논문지
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    • 제28권1C호
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    • pp.14-23
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    • 2003
  • 본 논문에서는 2 Ms/s의 데이터 rate와 12-비트의 해상도를 갖는 Sigma-delta modulator의 구조를 제안한다. Sigma-delta modulator는 oversampling과 노이즈 shaping의 두 가지 특성으로 인해 낮은 해상도의 A/D 변환기와 결합하여 높은 해상도를 갖는 A/D 변환기의 구현이 가능하다는 장점으로 audio 응용 분야에 널리 사용되어 왔다. 그러나, Sigma-delta modulator를 무선 데이터 통신 등 다양한 응용 분야에서 사용하기 위해서는 좀더 높은 데이터 rate를 갖는 Sigma-delta modulator에 관한 연구가 필요하게 되었다. 본 논문에서 제안한 Sigma-delta modulator 구조는 기존의 64 내지 256의 oversampling비를 16으로 낮추어 sampling을 하여 기존의 수 십에서 수 백 Ks/s정도의 데이터 rate를 1 Ms/s 이상의 높은 데이터 rate에서 동작하도록 하였다. 그리고 두 개의 2차 Sigma-delta modulator를 Cascade 구조로 연결하고, 이득을 최적화하여 4차의 Sigma-delta modulator와 유사한 결과를 얻을 수 있었다. 내부에는 1-비트 A/D, D/A 변환기를 채용하여 부가적인 calibration 회로가 필요 없도록 하였다.

The Study for the KOMPSAT-3 Image Data Compression

  • Lee S.G.;Lee S.T.
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
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    • pp.298-300
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    • 2005
  • Satellite payload on-board date compression unit are use for saving date storage space and reducing time to transmit payload data to the ground station. The KOMPSAT-3 payload will generate higher data rate than KOMPSAT-2 due to its better ground sample distance capacity. High input data rate and limited output transmission data rate might lead excessive compression and degraded image quality. This paper presents a trade-off study about data storage capacity and compression parameters for estimated KOMPSAT-3 system.

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Bayesian Inference for Predicting the Default Rate Using the Power Prior

  • Kim, Seong-W.;Son, Young-Sook;Choi, Sang-A
    • Communications for Statistical Applications and Methods
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    • 제13권3호
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    • pp.685-699
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    • 2006
  • Commercial banks and other related areas have developed internal models to better quantify their financial risks. Since an appropriate credit risk model plays a very important role in the risk management at financial institutions, it needs more accurate model which forecasts the credit losses, and statistical inference on that model is required. In this paper, we propose a new method for estimating a default rate. It is a Bayesian approach using the power prior which allows for incorporating of historical data to estimate the default rate. Inference on current data could be more reliable if there exist similar data based on previous studies. Ibrahim and Chen (2000) utilize these data to characterize the power prior. It allows for incorporating of historical data to estimate the parameters in the models. We demonstrate our methodologies with a real data set regarding SOHO data and also perform a simulation study.

1x EV-DO 서비스망에서 이동통신 중계기의 전송 특성에 관한 연구 (A Study on Transmit Performance of Repeaters in 1x EV-DO Networks)

  • 김선근;이영섭;김기문
    • 한국정보통신학회논문지
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    • 제8권3호
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    • pp.598-604
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    • 2004
  • 본 논문은 기존에 사용하고 있는 음성 및 저속 데이터 서비스용 이동통신 중계기가 초고속 무선데이터 서비스용 1x EV-DO 서비스에서도 적합한지 그리고 중계기의 전송 특성상 문제의 발생 여부에 대해 연구한 것이다. 이러한 시험을 하기 위해 이동통신 사업자의 무선망에 설치되어 있는 이동통신 중계기에 대해 종류별로 선정하여 중계기를 통한 1x EV-DO 신호의 전송 특성이 얼마나 열화 되는지를 현장시험 하였다. 측정 결과, 대부분의 이동통신 중계기에서 출력된 1x EV-DO 신호 전송률이 1x EV-DO AN(Access Node)로부터 직접 받는 것에 비해 데이터 전송률이 거의 저하되지 않는 정도의 특성을 보인 반면, 몇몇 이동통신 중계기는 그보다 훨씬 큰 10%의 데이터 전송률이 저하되는 특성을 보였다. 따라서 본 논문에서는 데이터 전송률에서 많은 특성 저하를 나타내는 이동통신 중계기의 특성을 분석하였다. 그리고 여러 가지 환경에서 즉, 페이딩, RSSI 등에 따른 중계기의 전송 특성이 열화되는 부분에 대해 특성 시험을 하였다.

휠체어에서 호흡수와 심박수 측정 및 이벤트 전송 (Event Transmission of Respiratory rate and Heart rate Measured on Wheelchair)

  • 한동균;김종명;홍주현;차은종;이태수
    • 대한의용생체공학회:의공학회지
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    • 제29권6호
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    • pp.443-450
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    • 2008
  • The purpose of this study is to measure both ECG and BCG(Ballistocariograph) signal of a subject on moving or resting wheelchair and detect the heart rate and respiratory rate and transmit an event message to remote server on emergent situation. To acquire ECG and BCG data, amplifier circuits were composed to be suitable for their characteristics. The output signals were converted to digital data and stored in bio-signal archiving media(SD card). CDMA module was used to transmit the event data on ECG electrode detachment and the received data was monitored by the developed C# application program. 5 volunteers participated in the experiment to evaluate the validity of the developed device. When the event occurs in each subject, 48 Kbyte data, stored for 32 seconds from that point, was transmitted to remote server through CDMA cellular phone network correctly. The received data of ECG, BCG, and 3-axial acceleration could be archived in server and the heart rate and respiratory rate could be measured and analyzed. The developed device in this study could acquire the ECG and BCG data of subjects on wheelchair simultaneously and measure their heart rate and respiratory rate. In addition, event data was verified to be transmitted to remote server without any errors.

Data Segmentation for a Better Prediction of Quality in a Multi-stage Process

  • Kim, Eung-Gu;Lee, Hye-Seon;Jun, Chi-Hyuek
    • Journal of the Korean Data and Information Science Society
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    • 제19권2호
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    • pp.609-620
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    • 2008
  • There may be several parallel equipments having the same function in a multi-stage manufacturing process, which affect the product quality differently and have significant differences in defect rate. The product quality may depend on what equipments it has been processed as well as what process variable values it has. Applying one model ignoring the presence of different equipments may distort the prediction of defect rate and the identification of important quality variables affecting the defect rate. We propose a procedure for data segmentation when constructing models for predicting the defect rate or for identifying major process variables influencing product quality. The proposed procedure is based on the principal component analysis and the analysis of variance, which demonstrates a better performance in predicting defect rate through a case study with a PDP manufacturing process.

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PAR기법을 이용하여 유지보수 영향을 고려한 고장 데이터의 보정기법에 관한 연구 (A Study on Revision Method of Historical Fault Data Considering Maintenance Effect to Use Proportional Aging Reduction(PAR))

  • 추철민;김재철;문종필;이희태;박창호
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2006년도 추계학술대회 논문집 전력기술부문
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    • pp.9-11
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    • 2006
  • This paper suggests a revision method for historical fault data using Proportional Aging Reduction(PAR) to consider maintenance effect in time-varying failure rate. In order to product time-varying failure rate, the historical fault data are necessary. However, the maintenance record could be left out in historical data by spot operator's mistake. In this case, the failure rate is produced less than the average failure rate for increasing equipments' life-time by maintenance effect. Hence, it is necessary for new time-varying failure rate to extract maintenance effect from the existing fault data. In this paper, the revision method to reduce equipments' life-time, adversely using PAR among three techniques to consider maintenance effect.

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Artificial Neural Networks for Interest Rate Forecasting based on Structural Change : A Comparative Analysis of Data Mining Classifiers

  • Oh, Kyong-Joo
    • Journal of the Korean Data and Information Science Society
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    • 제14권3호
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    • pp.641-651
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    • 2003
  • This study suggests the hybrid models for interest rate forecasting using structural changes (or change points). The basic concept of this proposed model is to obtain significant intervals caused by change points, to identify them as the change-point groups, and to reflect them in interest rate forecasting. The model is composed of three phases. The first phase is to detect successive structural changes in the U. S. Treasury bill rate dataset. The second phase is to forecast the change-point groups with data mining classifiers. The final phase is to forecast interest rates with backpropagation neural networks (BPN). Based on this structure, we propose three hybrid models in terms of data mining classifier: (1) multivariate discriminant analysis (MDA)-supported model, (2) case-based reasoning (CBR)-supported model, and (3) BPN-supported model. Subsequently, we compare these models with a neural network model alone and, in addition, determine which of three classifiers (MDA, CBR and BPN) can perform better. For interest rate forecasting, this study then examines the prediction ability of hybrid models to reflect the structural change.

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에너지 수집형 무선 센서 네트워크에서 선택적 데이터 압축을 통한 동적 센싱 주기 제어 기법 (Dynamic Sensing-Rate Control Scheme Using a Selective Data-Compression for Energy-Harvesting Wireless Sensor Networks)

  • 윤익준;이준민;정세미;전준민;노동건
    • 대한임베디드공학회논문지
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    • 제11권2호
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    • pp.79-86
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    • 2016
  • In wireless sensor networks, increasing the sensing rate of each node to improve the data accuracy usually incurs a decrease of network lifetime. In this study, an energy-adaptive data compression scheme is proposed to efficiently control the sensing rate in an energy-harvesting wireless sensor network (WSN). In the proposed scheme, by utilizing the surplus energy effectively for the data compression, each node can increase the sensing rate without any rise of blackout time. Simulation result verifies that the proposed scheme gathers more amount of sensory data per unit time with lower number of blackout nodes than the other compression schemes for WSN.

Handover 기반과 Non-Handover 기반의 Mobility Management 기법의 비교 (Comparison of Mobility Management methods Handover based and Non-Handover based)

  • 우중재;주형식
    • 전기전자학회논문지
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    • 제16권2호
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    • pp.81-85
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    • 2012
  • 본 논문에서는 macro-cell 위에 동일한 주파수를 쓰는 pico-cell이 overlay 되어 있는 환경에서, 움직이는 사용자에 대한 management 방법이 움직이는 사용자가 지원 받을 수 있는 data rate에 미치는 영향을 분석한다. 이러한 분석을 통해 mobility management 방식에 따른 움직이는 사용자가 지원받을 수 있는 data rate는 사용자와 pico-cell의 상대적 위치에 의존함을 확인하였다.