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Clinical implementation of coverage probability planning for nodal boosting in locally advanced cervical cancer

RADIOTHERAPY AND ONCOLOGY 2017年第1期123卷 158-163页

作者： Ramlov, Anne Assenholt, Marianne S. Jensen, Maria F. Gronborg, Caroline Nout, Remi Alber, Markus Fokdal, Lars Tanderup, Kari Lindegaard, Jacob Chr. Aarhus Univ Hosp Dept Oncol Noerrebrogade 44 DK-8000 Aarhus C Denmark Leiden Univ Med Ctr Dept Radiat Oncol Leiden Netherlands Aarhus Univ Hosp Dept Med Phys Aarhus Denmark Inst Radiat Oncol HIRO Heidelberg Germany

Purpose: To implement coverage probability (CovP) for dose planning of simultaneous integrated boost (SIB) of pathologic lymph nodes in locally advanced cervical cancer (LACC). Material and methods: CovP constraints for SIB of the pathological nodal target (PTV-N) with a central dose peak and a relaxed coverage at the perimeter were generated for use with the treatment planning system Eclipse: PTV-N D98 >90%, CTV-N D98 >100% and CTV-N D50 >101.5% of prescribed dose. Dose of EBRT was 45 Gy/25 fx with a SIB of 55-57.5 Gy depending on expected dose from brachytherapy (BT). Twenty-five previously treated patients with 47 boosted nodes were analysed. Nodes were contoured on cone beam CT (CBCT) and the accumulated dose in GTV-N-CBCT and volume of body, pelvic bones and bowel receiving >50 Gy (V50) were determined. Results: Nearly all nodes (89%) were visible on CBCT and showed considerable concentric regression during EBRT. Total EBRT and BT D98 was >57 GY(EQD2) in 98% of the visible nodes. Compared to treatment plans aiming for full PTV-N coverage, CovP significantly reduced V50 of body, bones and bowel (p < 0.001) Conclusion: CovP is clinically feasible for SIB of pathological nodes and significantly decreases collateral SIB dose to nearby OAR. (C) 2017 Elsevier B.V. All rights reserved.

关键词： Radiotherapy coverage probability Nodal boosting Cervical cancer

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How to encompass an uncorrected bias into the expanded uncertainty with a fixed coverage probability: calculation procedures

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ACCREDITATION AND QUALITY ASSURANCE 2017年第4期22卷 179-186页

作者： Synek, Vaclav Jan Evangelista Purkyne Univ Usti Nad Labem Fac Environm Kralova Vysina 7 Usti Nad Labem 40096 Czech Republic

The practice in analytical and medical laboratories often necessitates evaluating the uncertainty of measurement in such a way that incorporates the bias in the expanded uncertainty of measurement instead of correcting for it. This paper presents a complete procedure for calculating the coverage interval that is delimited with one of these approaches. The obtained interval is symmetrical with respect to the uncorrected measured value (x) and has a determined coverage probability (p) under a given bias (b) and combined standard uncertainty (u(c) );the approach is denoted by U-e(p). A possibility of this approach was suggested by Synek (Talanta 65:829-837, 7). The stated procedure enables to choose frequently used coverage probabilities (mainly 95 % and 99 %). The calculation of the U-e(p) expanded uncertainty requires quantifying a factor that multiplies u(c) . Its values depend on p, on b/u(c) and also on the effective number of degrees of freedom (nu) of u (c) , especially at nu of a small size;these values can be found in the attached tables. Since this accurate calculation can be qualified as too complex, a simplification is recommended by using two approximations that are applicable provided nu >= 6.

关键词： coverage probability Expanded uncertainty Systematic error Uncorrected bias

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Optimize the coverage probability of Prediction Interval for Anomaly Detection of Sensor-Based Monitoring Series

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SENSORS 2018年第4期18卷 967-967页

作者： Pang, Jingyue Liu, Datong Peng, Yu Peng, Xiyuan Harbin Inst Technol Sch Elect Engn & Automat Harbin 150080 Heilongjiang Peoples R China

Effective anomaly detection of sensing data is essential for identifying potential system failures. Because they require no prior knowledge or accumulated labels, and provide uncertainty presentation, the probability prediction methods (e.g., Gaussian process regression (GPR) and relevance vector machine (RVM)) are especially adaptable to perform anomaly detection for sensing series. Generally, one key parameter of prediction models is coverage probability (CP), which controls the judging threshold of the testing sample and is generally set to a default value (e.g., 90% or 95%). There are few criteria to determine the optimal CP for anomaly detection. Therefore, this paper designs a graphic indicator of the receiver operating characteristic curve of prediction interval (ROC-PI) based on the definition of the ROC curve which can depict the trade-off between the PI width and PI coverage probability across a series of cut-off points. Furthermore, the Youden index is modified to assess the performance of different CPs, by the minimization of which the optimal CP is derived by the simulated annealing (SA) algorithm. Experiments conducted on two simulation datasets demonstrate the validity of the proposed method. Especially, an actual case study on sensing series from an on-orbit satellite illustrates its significant performance in practical application.

关键词： satellite anomaly detection coverage probability prediction interval Gaussian process regression relevance vector machine

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Modeling and Analysis of Indoor coverage probability for Future 3D Dense Mobile Networks 20

Modeling and Analysis of Indoor Coverage Probability for Fut...

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20th International Symposium on Wireless Personal Multimedia Communications (WPMC)

作者： Zhang, Lei Gu, Xinyu Liu, Zhenyu Zhang, Lin Moon, Hichan Beijing Univ Posts & Telecommun Beijing 100876 Peoples R China Hanyang Univ Dept Elect Engieering Seoul 04763 South Korea

ISBN: (纸本)9781538627686

This paper puts forward a new model to analyze the coverage performance of future three-dimensional (3D) dense mobile networks in the indoor environment, where the impact of penetration loss and the distance between two walls on network performance is taken into consideration. Then based on the proposed model, analytical expressions of coverage probability is derived by using tools from stochastic geometry, where the location of small base stations is modeled as a 3D Poisson Point Process. For comparison, similar work is taken for 2D mobile network. Finally, Monte Carlo simulations are conducted to illustrate the accuracy of the proposed penetration model and derived expressions.

关键词： 3D Mobile Networks indoor environment penetration loss coverage probability stochastic geometry

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coverage probability Analysis for Full-Duplex Relay Aided Device-to-Device Communications Networks

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China Communications 2016年第11期13卷 60-67页

作者： Bin Zhong Jiajia Zhang Qian Zeng Xiaoming Dai School of Information and Electrical Engineering Hunan University of Science and Technology Beijing Engineering and Technology Research Center for Convergence Networks and Ubiquitous Services University of Science and Technology Beijing Business School Xiangtan University

The coverage probability of both the cellular users and the Device-to-Device(D2D) users are analyzed. We assume that the cellular users are able to communication with the Base Station(BS) either by relying on the assistance of Full-Duplex(FD) mode relays or via direct user-to-BS links with high-enough Signal-to-Interference-plus-Noise-Ratio(SINR). Note that the FD-mode devices are capable of simultaneously operating in two modes,i.e. the D2D mode and the cooperative relay mode,with the sum power consumption at these devices kept constant. The closedform expressions for coverage probability of both tier users are derived. After that,numerical analyses are provided,showing that the coverage probability of the both the cellular and the D2D users can be substantially influenced by a variety of parameters,including the power allocation factor of the relays,the density of users,and the self-interference imposed on the FD mode relays,etc. Furthermore,in the D2D enabled networks,it is shown that the FD relay aided transmission is beneficial to enhancing the coverage probability of the cellular users if the target SINR is lower than 5 d B.

关键词： cooperative communication coverage probability Full-duplex device-to-device

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coverage probability of cellular networks using interference alignment under imperfect CSI

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Digital Communications and Networks 2016年第4期2卷 162-166页

作者： Raoul F. Guiazon Kai-Kit Wong Michael Fitch Department of Electronic and Electrical Engineering University College London WCIE 7JE UK BTMobility Group Martlesham Heath Suffolk IP5 3RE UK

Interference alignment （IA） is well understood to approach the capacity of interference channels, and believed to be crucial in cellular networks in which the ability to control and exploit interference is key. However, the achievable performance of IA in cellular networks depends on the quality of channel state information （CSI） and how effective IA is in practical settings is not known. This paper studies the use of IA to mitigate inter-cell interference of cellular networks under imperfect CSI conditions. Our analysis is based on stochastic geometry where the structure of the base station （BS） locations is considered by a Poisson point process （PPP）. Our main contribution is the coverage probability of the network and simulation results confirm the accuracy.

关键词： Interference alignment Beamforming coverage probability Channel errors Stochastic geometry

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Integral Approximations for coverage probability

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IEEE WIRELESS COMMUNICATIONS LETTERS 2016年第1期5卷 24-27页

作者： Guruacharya, Sudarshan Tabassum, Hina Hossain, Ekram Univ Manitoba Dept Elect & Comp Engn Winnipeg MB R3T 2N2 Canada

This letter gives approximations to an integral appearing in the formula for downlink coverage probability of a typical user in Poisson point process (PPP)-based stochastic geometry frameworks of the form integral(infinity)(0)exp{-(Ax + Bx(alpha/2))}dx. Four different approximations are studied. For systems that are interference-limited or noise-limited, conditions are identified when the approximations are valid. For intermediate cases, we recommend the use of Laplace approximation. Numerical results validate the accuracy of the approximations.

关键词： Integral approximations coverage probability Poisson point process

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Assessing agreement with relative area under the coverage probability curve

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STATISTICS IN MEDICINE 2016年第18期35卷 3153-3165页

作者： Barnhart, Huiman X. Duke Univ Sch Med Duke Clin Res Inst Durham NC 27715 USA Duke Univ Sch Med Dept Biostat & Bioinformat Durham NC 27715 USA

There has been substantial statistical literature in the last several decades on assessing agreement, and coverage probability approach was selected as a preferred index for assessing and improving measurement agreement in a core laboratory setting. With this approach, a satisfactory agreement is based on pre-specified high satisfactory coverage probability (e.g., 95%), given one pre-specified acceptable difference. In practice, we may want to have quality control on more than one pre-specified differences, or we may simply want to summarize the agreement based on differences up to a maximum acceptable difference. We propose to assess agreement via the coverage probability curve that provides a full spectrum of measurement error at various differences/disagreement. Relative area under the coverage probability curve is proposed for the summary of overall agreement, and this new summary index can be used for comparison of different intra-methods or inter-methods/labs/observers' agreement. Simulation studies and a blood pressure example are used for illustration of the methodology. Copyright (c) 2016 John Wiley & Sons, Ltd.

关键词： agreement reliability coverage probability measurement error area under the curve

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Downlink coverage probability of K-Tier HetNets with General Non-Uniform User Distributions

Downlink Coverage Probability of <i>K</i>-Tier HetNets with ...

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IEEE International Conference on Communications (ICC)

作者： Saha, Chiranjib Dhillon, Harpreet S. Virginia Tech Dept ECE Wireless VT Blacksburg VA 24061 USA

ISBN: (纸本)9781479966646

Current approaches to the analysis of heterogeneous cellular networks (HetNets) with random spatial models assume users to be distributed according to a homogeneous Poisson Point Process (PPP) independently of the base station (BS) locations. In reality, however, current deployments are capacity-driven, which correlates the BS and user locations. In this paper, we develop tools for the downlink analysis of HetNets with general non-uniform user distributions by enriching the K-tier PPP HetNet model. Instead of being PPP distributed, the user locations are modeled by a Poisson cluster process with the cluster centers being the BSs. In particular, we provide the first formal analysis of the downlink coverage probability in terms of a general density function describing the locations of users around the BSs. All the results are specialized to a particular case of a Thomas cluster process, where the locations of the users around BSs are Gaussian distributed. Our results concretely demonstrate that the coverage probability decreases with the increasing variance of the user location distribution, ultimately collapsing to the result for the PPP user distribution when the variance goes to infinity.

关键词： Non-uniform user distribution coverage probability Poisson cluster process Thomas cluster process stochastic geometry

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coverage probability and Achievable Rate Analysis of FFR-Aided Multi-User OFDM-Based MIMO and SIMO Systems

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IEEE TRANSACTIONS ON COMMUNICATIONS 2015年第10期63卷 3869-3881页

作者： Kumar, Suman Kalyani, Sheetal Hanzo, Lajos Giridhar, K. Indian Inst Technol Dept Elect Engn Madras 600036 Tamil Nadu India Univ Southampton Sch Elect & Comp Sci Southampton SO17 1BJ Hants England

Expressions are derived for the coverage probability and average rate of both multi-usermultiple inputmultiple output (MU-MIMO) and single input multiple output (SIMO) systems in the context of a fractional frequency reuse (FFR) scheme. In particular, given a reuse region of 13 (FR3) and a reuse region of 1 (FR1) as well as a signal-to-interference-plus-noise-ratio (SINR) threshold S-th, which decides the user assignment to either the FR1 or FR3 regions, we theoretically show that: 1) the optimal choice of S-th which maximizes the coverage probability is S-th = T, where T is the target SINR required for ensuring adequate coverage, and 2) the optimal choice of Sth which maximizes the average rate is given by Sth = T', where T' is a function of the path loss exponent, the number of antennas and of the fading parameters. The impact of frequency domain correlation amongst the OFDM sub-bands allocated to the FR1 and FR3 cell-regions is analysed and it is shown that the presence of correlation reduces both the coverage probability and the average throughput of the FFR network. Furthermore, the performance of our FFR-aidedMU-MIMO and SIMO systems is compared. Our analysis shows that the (2 x 2) MU-MIMO system achieves 22.5% higher rate than the (1 x 3) SIMO system and for lower target SINRs, the coverage probability of a (2 x 2) MU-MIMO system is comparable to a (1 x 3) SIMO system. Hence the former one may be preferred over the latter. Our simulation results closely match the analytical results.

关键词： coverage probability rate co-channel interference FFR MU-MIMO SIMO

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