• 제목/요약/키워드: Sample Correlation Coefficient

검색결과 576건 처리시간 0.029초

What is the effect of initial implant position on the crestal bone level in flap and flapless technique during healing period?

  • Al-Juboori, Mohammed Jasim;Ab Rahman, Shaifulizan;Hassan, Akram;Ismail, Ikmal Hisham Bin;Tawfiq, Omar Farouq
    • Journal of Periodontal and Implant Science
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    • 제43권4호
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    • pp.153-159
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    • 2013
  • Purpose: The level of the implant above the marginal bone and flap design have an effect on the bone resorption during the healing period. The aim of this study is to detect the relationship between the level of the implant at the implant placement and the bone level at the healing period in the mesial and distal side of implants placed with flapless (FL) and full-thickness flap (FT) methods. Methods: Twenty-two nonsubmerged implants were placed with the FL and FT technique. Periapical radiographs were taken of the patient at implant placement, and at 6 and 12 weeks. By using computer software, bone level measurements were taken from the shoulder of the healing cap to the first bone implant contact in the mesial and distal side of the implant surface. Results: At 6 weeks, the correlation between the crestal bone level at the implant placement and crestal bone level of the FT mesially was significant (Pearson correlation coefficient=0.675, P<0.023). At 12 weeks, in the FT mesially, the correlation was nonsignificant (Spearman correlation coefficient=0.297, P<0.346). At 6 weeks in the FT distally, the correlation was nonsignificant (Pearson correlation coefficient=0.512, P<0.107). At 12 weeks in the FT distally, the correlation was significant (Spearman correlation coefficient=0.730, P<0.011). At 6 weeks in the FL mesially, the correlation was nonsignificant (Spearman correlation coefficient=0.083, P<0.809). At 12 weeks in the FL mesially, the correlation was nonsignificant (Spearman correlation coefficient= 0.062, P<0.856). At 6 weeks in the FL distally, the correlation was nonsignificant (Spearman correlation coefficient=0.197, P<0.562). At 12 weeks in the FL distally, the correlation was significant (Pearson correlation coefficient=0.692, P<0.018). Conclusions: A larger sample size is recommended to verify the conclusions in this preliminary study. The bone level during the healing period in the FT was more positively correlated with the implant level at implant placement than in the FL.

Exploiting Correlation Characteristics to Detect Covert digital communication

  • Huang, Shuhua;Liu, Weiwei;Liu, Guangjie;Dai, Yuewei;Tian, Wen
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제14권8호
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    • pp.3550-3566
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    • 2020
  • As a widely used way to exfiltrate information, wireless covert channel (WCC) brings a serious threat to communication security, which enables the wireless communication process to bypass the authorized access control mechanism to disclose information. Unlike the covert channel on the network layer, wireless covert channels on the physical layer (WCC-P) is a new covert communication mode to implement and improve covert wireless communication. Existing WCC-P scheme modulates the secret message bits into the Gaussian noise, which is also called covert digital communication system based on the joint normal distribution (CJND). Finding the existence of this type of covert channel remains a challenging work due to its high undetectability. In this paper, we exploit the square autocorrelation coefficient (SAC) characteristic of the CJND signal to distinguish the covert communication from legitimate communication. We study the sharp increase of the SAC value when the offset is equal to the symbol length, which is caused by embedding secret information. Then, the SAC value of the measured sample is compared with the threshold value to determine whether the measured sample is CJND sample. When the signal-to-noise ratio reaches 20db, the detection accuracy can reach more than 90%.

Design wind speed prediction suitable for different parent sample distributions

  • Zhao, Lin;Hu, Xiaonong;Ge, Yaojun
    • Wind and Structures
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    • 제33권6호
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    • pp.423-435
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    • 2021
  • Although existing algorithms can predict wind speed using historical observation data, for engineering feasibility, most use moment methods and probability density functions to estimate fitted parameters. However, extreme wind speed prediction accuracy for long-term return periods is not always dependent on how the optimized frequency distribution curves are obtained; long-term return periods emphasize general distribution effects rather than marginal distributions, which are closely related to potential extreme values. Moreover, there are different wind speed parent sample types; how to theoretically select the proper extreme value distribution is uncertain. The influence of different sampling time intervals has not been evaluated in the fitting process. To overcome these shortcomings, updated steps are introduced, involving parameter sensitivity analysis for different sampling time intervals. The extreme value prediction accuracy of unknown parent samples is also discussed. Probability analysis of mean wind is combined with estimation of the probability plot correlation coefficient and the maximum likelihood method; an iterative estimation algorithm is proposed. With the updated steps and comparison using a Monte Carlo simulation, a fitting policy suitable for different parent distributions is proposed; its feasibility is demonstrated in extreme wind speed evaluations at Longhua and Chuansha meteorological stations in Shanghai, China.

형광입자들의 크기와 농도에 따른 형광 상관 분광함수 측정 (Measurement of Fluorescence Correlation Function by Using Size and Concentration of Fluorescence Particles)

  • 한예슬;이재란;김석원
    • 한국광학회지
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    • 제23권3호
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    • pp.113-118
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    • 2012
  • 형광입자의 크기와 수에 따라 형광 신호의 상관함수 변화를 측정하는 형광상관분광법을 이용하여 용액 내에서 확산 운동하는 나노크기 형광 입자들의 농도와 유체역학적 반지름을 비교하였다. 시료에 사용된 나노크기 형광 입자들은 Alexa Fluor 647, 양자점, 형광 bead이고, 증류수에서 1/10, 1/100로 입자들이 들어있는 용액을 희석하여 각 입자들에 대해 3가지의 다른 농도의 시료를 준비하였다. Alex Fluor 647의 알려져 있는 확산시간을 이용하여 형광상관분광장치의 유효초점 부피를 구하고, 각 입자들의 확산계수, 크기, 희석에 따른 농도 변화를 측정할 수 있었다. 본 연구를 통해, 자체 제작된 형광상관분광장치로 임의적으로 희석된 시료들의 농도를 약 0.1 nM ~ 10 nM의 범위에서 측정할 수 있었고, 양자점의 확산계수를 $27{\pm}1{\mu}m^2/s$로 결정할 수 있었다.

프리스트레스트 콘크리트 교량의 크리프와 건조수축효과의 민감도 해석 (Sensitivity Analysis of Creep and Shrinkage Effects of Prestressed Concrete Bridges)

  • 오병환;양인환
    • 한국콘크리트학회:학술대회논문집
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    • 한국콘크리트학회 1998년도 가을 학술발표대회 논문집(III)
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    • pp.656-661
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    • 1998
  • This paper presents a method of statistical analysis and sensitivity analysis of creep and shrinkage effects in PSC box girder bridges. The statistical and sensitivity analyses are performed by using the numerical simulation of Latin Hypercube sampling. For each sample, the time-dependent structural analysis is performed to produce response data, which are then statistically analyzed. The probabilistic prediction of the confidence limits on long-term effects of creep and shrinkage is then expressed. Three measures are examined to quantify the sensitivity of the outputs to each of the input variables. These are rank correlation coefficient(RCC), partial rank correlation coefficient(PRCC) and standardized rank regression coefficient(SRRC) computed on the ranks of the observations. Probability band widens with time, which indicates an increase of prediction uncertainty with time. The creep model uncertainty factor and the relative humidity appear as the most dominant factors with regard to the model output uncertainty.

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상관계수에 대한 검정법 비교 (A Comparative Study on Tests of Correlation)

  • 조현주;송명언;정동명;송재기
    • Journal of the Korean Data and Information Science Society
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    • 제7권2호
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    • pp.235-245
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    • 1996
  • 확률변수 (X,Y)가 이변량 정규분포를 따르는 경우, 모상관계수 ${\rho}$에 관한 여러 가설들 중에서 $H_{0}:{\rho}={\rho}_{0}$인 경우에는 알려진 분포를 이용한 통계적 추론을 하기가 어렵다. 이러한 경우 Fisher에 의해 제안된 Z-변환을 이용한 근사적 검정법이 사용되어 오고 있으나 근사적인 방법이기 때문에 주어진 표본의 크기가 충분히 많지 않은 경우에는 적용에 무리가 있을 수 있다. 그래서 본 논문에서는 먼저 표본 상관계수 R의 분포를 모의실험을 통하여 직접 구하여 검정한 정확 검정법과, 붙스트랩(bootstrap) 방법을 이용하여 구한 붙스트랩 검정법을 제시하고, Fisher의 방법의 효율성과 실제성을 검토하고 제시된 방법들과 서로 비교하고자 한다.

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Face Recognition Robust to Occlusion via Dual Sparse Representation

  • Shin, Hyunhye;Lee, Sangyoun
    • Journal of International Society for Simulation Surgery
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    • 제3권2호
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    • pp.46-48
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    • 2016
  • Purpose In face reocognition area, estimating occlusion in face images is on the rise. In this paper, we propose a new face recognition algorithm based on dual sparse representation to solve this problem. Method Each face image is partitioned into several pieces and sparse representation is implemented in each part. Then, some parts that have large sparse concentration index are combined and sparse representation is performed one more time. Each test sample is classified by using the final sparse coefficient where correlation between the test sample and training sample is applied. Results The recognition rate of the proposed algorithm is higher than that of the basic sparse representation classification. Conclusion The proposed method can be applied in real life which needs to identify someone exactly whether the person disguises his face or not.

식품 중 조단백질 정량을 위한 켈달법과 듀마스법 비교 연구 (A comparison study of crude protein contents obtained utilizing the Kjeldahl method and Dumas combustion method in foods)

  • 황선혜;구민선;조새롬;조용선
    • 분석과학
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    • 제33권3호
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    • pp.143-150
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    • 2020
  • 본 연구에서는 곡물, 육류, 해산물, 채소류등에 대하여 식품공전에 등재되어 있는 켈달법(Kjeldahl method)과 AOAC에 등재되어 있는 듀마스법(Dumas method)을 이용하여 조단백질을 비교 분석하였다. 두 시험법에 대해 총 31종의 시료를 3회 반복 시험한 결과 대부분 비슷한 결과를 나타내었다. 곡물류의 경우 백미를 포함 총 9 종을 분석하였고, 켈달법과 듀마스법 결과간의 상관관계를 비교한 결과 correlation coefficient가 0.994, p-value는 0.956로 두 결과값간의 유의적 차이는 없는 것으로 나타났다. 육류 9 종에 대해서는 correlation coefficient이 0.9725, p-value는 0.947, 해산물 5 종에 대해서는 correlation coefficient 값이 0.9879, p-value는 0.761, chemical시료 3종에 대해서는 correlation coefficient값이 0.9985, p-value는 0.997, 채소류 4 종에 대해서는 correlation coefficient값이 0.9873, p-value는 0.727로 시료간 약간의 차이는 있으나 켈달법과 듀마스법간에는 유의적 차이가 없는 것으로 나타났다. 육류의 경우 시료의 균질성이 좋지 않아 소량을 칭취하여 분석해야 하는 듀마스법에서 재현성이 좋지 않았다. 다만 시료 중 질산염을 많이 함유하고 있는 채소류의 경우 켈달법을 이용하여 분석시 완전한 분해가 이루어지지 않아 듀마스의 결과보다는 낮은 함량값을 나타내었다. 또한 듀마스 법의 경우 약 0.1 g의 적은 시료를 사용하여 분석하기 때문에 분석시 시료의 균질성이 보장되어야 한다. 두 시험법 모두 순단백질을 직접 정량하는 것이 아닌 질소 분석을 바탕으로 단백질 함량을 구하는 것이기 때문에 정확성이 높다고 할 수 없지만, 샘플의 특성에 따라 적절한 분석방법을 선택하여 분석하는 것이 중요하다.

세탁에 따른 안감의 물성변화에 관한 연구 (Change of Physical Properties of Lining Fabrics by Washing)

  • 최은희
    • 대한가정학회지
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    • 제17권4호
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    • pp.15-22
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    • 1979
  • This paper was studied changes of physical properties of Lining fabrics by washing and difference between dry method. I experimented four kinds of Lining fabrics for the sample . The analysis was performed by correlation coefficient analysis and significance tested between correlation coefficients. The results are summarized as follows : 1) Increasing rate of shrinkage tends to call high density and weight. 2) Rayon fabrics is shown the most high rate of shrinkage and decreasing strength by increasing washing times. 3) Drip dry makes little change of physical properties. 4) Polyester fabrics is little by washing times and dry method.

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Audio Data Hiding Based on Sample Value Modification Using Modulus Function

  • Al-Hooti, Mohammed Hatem Ali;Djanali, Supeno;Ahmad, Tohari
    • Journal of Information Processing Systems
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    • 제12권3호
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    • pp.525-537
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    • 2016
  • Data hiding is a wide field that is helpful to secure network communications. It is common that many data hiding researchers consider improving and increasing many aspects such as capacity, stego file quality, or robustness. In this paper, we use an audio file as a cover and propose a reversible steganographic method that is modifying the sample values using modulus function in order to make the reminder of that particular value to be same as the secret bit that is needed to be embedded. In addition, we use a location map that locates these modified sample values. This is because in reversible data hiding it needs to exactly recover both the secret message and the original audio file from that stego file. The experimental results show that, this method (measured by correlation algorithm) is able to retrieve exactly the same secret message and audio file. Moreover, it has made a significant improvement in terms of the following: the capacity since each sample value is carrying a secret bit. The quality measured by peak signal-to-noise ratio (PSNR), signal-to-noise ratio (SNR), Pearson correlation coefficient (PCC), and Similarity Index Modulation (SIM). All of them have proven that the quality of the stego audio is relatively high.