Carleton University

About: Carleton University is a education organization based out in Ottawa, Ontario, Canada. It is known for research contribution in the topics: Population & Context (language use). The organization has 15852 authors who have published 39650 publications receiving 1106610 citations.

Wavelet Distance Measure for Person Identification Using Electrocardiograms

Abstract: In this paper, the authors present an evaluation of a new biometric based on electrocardiogram (ECG) waveforms. ECG data were collected from 50 subjects during three data-recording sessions on different days using a simple user interface, where subjects held two electrodes on the pads of their thumbs using their thumb and index fingers. Data from session 1 were used to establish an enrolled database, and data from the remaining two sessions were used as test cases. Classification was performed using three different quantitative measures: percent residual difference, correlation coefficient, and a novel distance measure based on wavelet transform. The wavelet distance measure has a classification accuracy of 89%, outperforming the other methods by nearly 10%. This ECG person-identification modality would be a useful supplement for conventional biometrics, such as fingerprint and palm recognition systems.

A New Formula for the BER of Binary Modulations with Dual-Branch Selection over Generalized-K

Abstract: Error performance is one of the main performance measures and the derivation of its closed-form expression has proved to be quite involved for certain communication systems operating over composite fading channels. In this letter, a unified closed-form expression, applicable to different binary modulation schemes, for the bit error rate of dual-branch selection diversity based systems undergoing independent but not necessarily identically distributed generalized-K fading is derived in terms of the extended generalized bivariate Meijer G-function.

Recognition of Species of Insectivorous Bats by Their Echolocation Calls

Abstract: The use of frequency, duration, and patterns of frequency change over time to identify 39 species of North American and African bats by their search phase echolocation calls is described. The data were obtained from an oscilloscope display of the cells presented by a zero-crossing period meter when the calls had been detected by a broadband microphone. Species using high intensity calls are more easily sampled than those using calls of intermediate intensity; bats using low intensity calls are not readily sampled by this system. Identification of bats in the field by their calls requires observation of known individuals under field conditions. The echolocation calls included frequency components from 8 to 210 kHz. At all sites, species using frequency modulated (FM) calls with frequencies from 25 to 65 kHz predominated; larger faunas exhibited greater variability in types of calls. The identification of echolocating bats by their calls depends upon the size of the bat fauna, the levels of bat activity, and inherent characteristics of the calls.

Who is in charge here? Governance for sustainable development in a complex world

Abstract: This paper explores one of the major challenges associated with governance for sustainable development: managing change in a context where power is distributed across diverse societal subsystems an...