37 research outputs found
A closed-form of cooperative detection probability using EGC-based soft decision under Suzuki fading
© 2017 IEEE. In cooperative spectrum sensing based on energy detection, several researchers have concluded that Soft Decision has better detection performance than Hard Decision. In this paper, we focus on Equal Gain Combining (EGC)-based soft decision under Suzuki fading which is a composite Rayleigh-lognormal fading. We use Moment-Generating function (MGF) to approximate Probability Density Function (PDF) of power sum of received signals at Fusion Center. Then we propose a novel method to evaluate cooperative detection performance under the effect of i.i.d Suzuki fading by using Gauss-Hermite approximation and MGF matching. Finally, we compare the results of EGC-based Soft Decision with those of Hard Decision
Comparison of optical biometry versus ultrasound biometry in cases with borderline signal-to-noise ratio
Tao Ming Thomas Chia,1 Minh T Nguyen,2 Hoon C Jung3,4 1Roski Eye Institute, University of Southern California, Los Angeles, CA, USA; 2Department of Ophthalmology and Visual Sciences, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA; 3Department of Ophthalmology, University of Washington, Seattle, WA, USA; 4Eye Clinic, VA Puget Sound Health Care System, Seattle, WA, USA Purpose: To ascertain if optical biometry determination of axial length (AL) and intraocular lens (IOL) power is significantly different compared to ultrasound (US) biometry in cases with borderline signal-to-noise ratio (SNR).Patients and methods: Sixty patients who had cataract and IOL Master biometry with borderline SNR (1.6–2.0) were included. A retrospective chart review was performed to compare data collected with optical biometry and US biometry in cataract cases with borderline SNR.Results: Results showed that optical biometry IOL and AL measurements were not significantly different from the US measurements. Analysis also demonstrated good agreement between the two methods.Conclusion: Our study suggests that, in cases of borderline quality data, IOL power and AL measurements with optical biometry are still useful in surgical planning and that additional US measurements may be used more as a corroborative tool. Keywords: cataract, intraocular lens, optical biometry, ultrasound biometr
Moods and Aversions: Regret, loss, risk, and ambiguity in investment choices
New Zealand Finance Colloquium, Lincoln University: New Zealand, 12 Feb 201
QoS, Security and mobility management for fixed and wireless networks under Policy-based techniques
International audienceThis paper introduces a general policy-based management framework within an IP network. It describes how a policy-based approach can be applied to deal with QoS, security, access control, mobility, etc. The framework presented here is derived from IETF works in Policy Framework working group and in Resource Allocation Protocol working group. Then, we describe some applications that could be handled by policy-based systems. Finally, we present some new evolutions that could be part of the future global policy-based networking architecture
Potential Antimalarials. XVII. Di- and Mono-Mannich Bases of 2(and 4)-[2(and 8)-Trifluoromethylquinolin-4-ylamino]phenol
Indoor positioning using BLE iBeacon, smartphone sensors, and distance-based position correction algorithm
In this paper, we propose a Bluetooth Low Energy (BLE) iBeacon-based localization system, in which we combine two popular positioning methods: Pedestrian Dead Reckoning (PDR) and fingerprinting. As we build the system as an application running on an iPhone, we choose Kalman filter as the fusion algorithm to avoid complex computation. In fingerprinting, a multi-direction-database approach is applied. Finally, in order to reduce the cumulative error of PDR due to smartphone sensors, we propose an algorithm called “Distance-based Position Correction”. The aim of this algorithm is to occasionally correct the estimated position by using the iBeacon nearest to the user. In experiments, our system results in an average error of only 0.63 m