• 제목/요약/키워드: Sampling location

검색결과 291건 처리시간 0.025초

Location Template Matching(LTM) 방법을 적용함에 있어서 진동 모드 수의 영향 (The Effect of the Number of Vibration Modes on the Application of the Location Template Matching(LTM) Method)

  • 신기홍
    • 한국소음진동공학회논문집
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    • 제26권2호
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    • pp.172-178
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    • 2016
  • The location template matching (LTM) method is a technique of identifying an impact location on a structure, and is often applied to structural health monitoring and large scale human-computer interface (HCI) systems. The LTM method utilizes a certain measure of similarity between two time signals. The correlation coefficient is most widely used for this purpose, and the group delay based method is recently proposed to improve the accuracy of finding the best matching pair of signals. In practice, one of key essential consideration for implementing the LTM method is to guarantee that a sufficient number of vibration modes must be contained in the measured signal, and yet the lower sampling rate is needed for a real-time implementation. In this paper, the properties of correlation coefficient and group delay with respect to the number of vibration modes are investigated. A few important results are obtained through extensive computer simulations and experiments. If the number of vibration modes contained in the measured signal is more than four it is sufficient for the correlation based LTM method, while the group delay based LTM method requires smaller number of vibration modes.

Intelligent LoRa-Based Positioning System

  • Chen, Jiann-Liang;Chen, Hsin-Yun;Ma, Yi-Wei
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제16권9호
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    • pp.2961-2975
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    • 2022
  • The Location-Based Service (LBS) is one of the most well-known services on the Internet. Positioning is the primary association with LBS services. This study proposes an intelligent LoRa-based positioning system, called AI@LBS, to provide accurate location data. The fingerprint mechanism with the clustering algorithm in unsupervised learning filters out signal noise and improves computing stability and accuracy. In this study, data noise is filtered using the DBSCAN (Density-Based Spatial Clustering of Applications with Noise) algorithm, increasing the positioning accuracy from 95.37% to 97.38%. The problem of data imbalance is addressed using the SMOTE (Synthetic Minority Over-sampling Technique) technique, increasing the positioning accuracy from 97.38% to 99.17%. A field test in the NTUST campus (www.ntust.edu.tw) revealed that AI@LBS system can reduce average distance error to 0.48m.

k-Sample Rank Procedures for Ordered Location-Scale Alternatives

  • Park, Hee-Moon
    • 품질경영학회지
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    • 제22권2호
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    • pp.166-176
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    • 1994
  • Some rank score tests are proposed for testing the equality of all sampling distribution functions against ordered location-scale alternatives in k-sample problem. Under the null hypothesis and a contiguous sequence of ordered location-scale alternatives, the asymptotic properties of the proposed test statistics are investigated. Also, the asymptotic local powers are compared with each others. The results show that the proposed tests based on the Hettmansperger-Norton type statistic are more powerful than others for the general ordered location-scale alternatives. However, the Shiraishi's tests based on the sum of two Bartholomew's rank analogue statistics are robust.

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위치 인식이 가능한 WBAN 용 UWB 수신기 (UWB WBAN Receiver for Real Time Location System)

  • 하종옥;박명철;정승환;어윤성
    • 전자공학회논문지
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    • 제50권10호
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    • pp.98-104
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    • 2013
  • 본 논문에서는 무선 통신 및 근거리 위치 인식이 가능한 WBAN(wireless body area network) 용 UWB(Ultra-wide band) 수신기 회로를 제안한다. UWB 수신기는 에너지 검출 방식의 OOK(on-off keying) 변조가 가능하도록 설계가 되었다. 고속의 sampling 을 하기 위해서 4bit ADC 는 DLL(delay locked loop) 을 이용하여 sub-sampling 기법을 사용하도록 설계되었다. 제안된 UWB 수신기는 CMOS $0.18{\mu}m$ 공정을 이용하여 설계되었으며, 전원 전압 1.8V에서 61mA의 전류를 소모하면서 -85.7dBm의 수신 감도, 42.1dB의 RF front-end 게인, 3.88 dB의 noise figure, 최대 4m 까지의 거리 감지 성능을 가지고 있다.

위치 기반 시스템을 위한 CMOS IR-UWB RFIC (A CMOS IR-UWB RFIC for Location Based Systems)

  • 이중무;박명철;어윤성
    • 전자공학회논문지
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    • 제52권12호
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    • pp.67-73
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    • 2015
  • 본 논문에서는 근거리 위치 기반 시스템을 위한 3 - 5 GHz IR-UWB(impulse radio-ultra wide band) RFIC를 제안한다. 수신기의 구조는 에너지 검출 방식으로 설계되었고, 고속 sampling을 하기 위해서 4 bit ADC 와 DLL(delay locked loop) 을 이용하여 equivalent-time sampling 기술을 사용하도록 설계되었다. 송신기는 저전력의 디지털 UWB impulse generator 를 설계하였다. 설계된 IR-UWB RFIC 는 CMOS $0.18{\mu}m$ 공정을 이용하여 제작되었다. 측정된 수신기의 감도는 -85.7 dBm 이며, 송신기와 수신기는 1.8 V 전원 전압에서 각각 32 mA 와 25.5 mA 의 전류를 소모한다.

머저리티 샘플링 데이터 기반 위치 추정시스템 (Location Estimation System based on Majority Sampling Data)

  • 박건영;전민호;오창헌
    • 한국정보통신학회논문지
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    • 제18권10호
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    • pp.2523-2529
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    • 2014
  • 실외에서는 GPS를 기반으로 하는 다양한 위치 추정 시스템을 사용하여 위치 추정 서비스를 제공할 수 있으나, 실내에서는 가시위성의 부족과 신호의 미약으로 GPS를 사용할 수 없어 실내에 존재하는 자원을 기반으로 하는 위치 추정시스템을 사용하고 있다. 특히 WLAN의 신호를 이용하는 fingerprinting 기법은 AP에서 제공하는 RSSI를 이용하여 위치를 추정하기에 실내에서 이용하기에 적합하다. 하지만 fingerprinting 기법은 fingerprinting map을 구축하는 offline 단계에서 얼마나 정확한 데이터를 이용하였는가에 따라 위치 추정의 정확도가 달라지는 단점이 존재한다. 본 논문에서는 이러한 단점을 보완하기 위해 fingerprinting map을 구축하는 단계에서 다수의 데이터를 샘플링 하여 그 중 빈도가 높은 데이터를 저장하여 위치 추정 정밀도를 높이는 위치 추정 시스템을 제안한다. 제안하는 머저리티 샘플링 데이터 기반의 위치 추정 시스템은 map에 저장되어야 하는 RSSI를 클라이언트와 서버에서 가장 빈도가 높은 RSSI데이터를 필터링하여 map을 구축한 후 유사거리측정방식에 의해 위치를 추정하는 시스템이다. 실험결과 최소 87.5 %, 최대 90.4%의 위치 추정 정밀도를 가지는 것을 알 수 있으며, 최소 0.25 ~ 2.72m의 오차 범위를 가지는 것을 확인 할 수 있었다.

Bayesian Parameter Estimation of the Four-Parameter Gamma Distribution

  • Oh, Mi-Ra;Kim, Kyung-Sook;Cho, Wan-Hyun;Son, Young-Sook
    • Communications for Statistical Applications and Methods
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    • 제14권1호
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    • pp.255-266
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    • 2007
  • A Bayesian estimation of the four-parameter gamma distribution is considered under the noninformative prior. The Bayesian estimators are obtained by the Gibbs sampling. The generation of the shape/power parameter and the power parameter in the Gibbs sampler is implemented using the adaptive rejection sampling algorithm of Gilks and Wild (1992). Also, the location parameter is generated using the adaptive rejection Metropolis sampling algorithm of Gilks, Best and Tan (1995). Finally, the simulation result is presented.

유치원 교실에서 공기 중 박테리아와 곰팡이 발생에 영향을 미치는 요인 (Factors Influencing Airborne Concentration of Fungi, Bacteria and Gram Negative Bacteria in Kindergarten Classroom)

  • 박동욱;조경아;윤충식;한인영;박두용
    • 한국환경보건학회지
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    • 제30권5호
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    • pp.440-448
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    • 2004
  • Airborne bacteria, gram negative bacteria (GNB) and fungi were measured in 70 class of 17 kindergartens. The objective of this study is to identify the factors influencing airborne concentrations of bacteria, GNB and fungi using multiple regression analysis. The average concentrations of bacteria and fungi exceeded $1,000\;CFU/m^3$. The average of GNB was $3.7{\times}10^2\;CFU/m^3$. This results indicated that air of kindergartens was contaminated with microbes such as bacteria and fungi. ANOVA test found that the concentrations of bacteria, GNB and fungi were significantly different by the characteristics of weather (rain, after rain, sunny) sampling date (July, August, September and October), the location of sampling site (ground level and basement) and the location of toilet (inside class, nearby class and away class). Multiple regression tests concluded that sampling date, the scale of city where kindergartens are located, the location of sampling site and ventilation efficiency can significantly affect the airborne concentration of bacteria, GNB and fungi. Most of these factors could be related moisture. Environmental factors that can cause the increment of moisture should be controlled in order to reduce airborne concentration of bacteria, GNB and fungi. Legal actions concerning prohibition on the presence of toilet inside class and ventilation criteria should be taken.

Disruptive Factors and Customer Satisfaction at Chain Stores in Karachi, Pakistan

  • RASHID, Aamir;RASHEED, Rizwana;AMIRAH, Noor Aina;AFTHANORHAN, Asyraf
    • 유통과학연구
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    • 제20권10호
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    • pp.93-103
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    • 2022
  • Purpose: This study aims to determine the relationship between disruptive factors and customer satisfaction at chain stores. Survey-based questionnaires were designed in the distribution technique to measure the findings in this study. Research design, data, and methodology: In terms of the sampling technique, the researchers adopted the simple random sampling technique with a total of 200 sample sizes. For the statistical method, the researchers applied multiple linear regression analysis to determine the potential factors that affect customer satisfaction at chain stores. The analysis of this study measured how product quality, pricing policies of chain stores, design and layout, responsiveness, and location of chain stores impart their roles in customer satisfaction. Results: This study found a significant relationship between the product quality and location of chain stores on customer satisfaction. In addition, the responsiveness, pricing policy, and physical design of chain stores impart an insignificant role in customer satisfaction. However, it is proven that the location of chain stores and product quality positively impact customer satisfaction. Conclusions: The study is geographically limited to the region of Karachi, Pakistan. Therefore, the findings may differ in the context of study implications in the other areas.