Browsing by Author "Onaran, I."
Now showing items 1-7 of 7
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Detection of underdeveloped hazelnuts from fully developed nuts by impact acoustics
(American Society of Agricultural and Biological Engineers, 2006)Shell-to-kernel weight ratio is a vital measurement of quality in hazelnuts as it helps to identify nuts that have underdeveloped kernels. Nuts containing underdeveloped kernels may contain mycotoxin-producing molds, which ... -
Discrimination between closed-and open-shell (Turkish) pistachio nuts using undecimated wavelet packet transform
(American Society of Agricultural and Biological Engineers, 2008)Due to low consumer acceptance and the possibility of immature kernels, closed-shell pistachio nuts should be separated from open-shell nuts before reaching the consumer. A system using impact acoustics as a means of ... -
Falling person detection using multisensor signal processing
(SpringerOpen, 2008)Falls are one of the most important problems for frail and elderly people living independently. Early detection of falls is vital to provide a safe and active lifestyle for elderly. Sound, passive infrared (PIR) and vibration ... -
Identification of damaged wheat kernels and cracked-shell hazelnuts with impact acoustics time-frequency patterns
(American Society of Agricultural and Biological Engineers, 2008)A new adaptive time-frequency (t-f) analysis and classification procedure is applied to impact acoustic signals for detecting hazelnuts with cracked shells and three types of damaged wheat kernels. Kernels were dropped ... -
Image description using a multiplier-less operator
(IEEE, 2009-06-05)A fast algorithm for image classification based on a computationally efficient operator forming a semigroup on real numbers is developed. The new operator does not require any multiplications. The co-difference matrix based ... -
Pulse doppler radar target recognition using a two-stage SVM procedure
(IEEE, 2010-07-07)It is possible to detect and classify moving and stationary targets using ground surveillance pulse-Doppler radars (PDRs). A two-stage support vector machine (SVM) based target classification scheme is described here. The ... -
Sparse spatial filter via a novel objective function minimization with smooth ℓ1 regularization
(Elsevier, 2013-05)Common spatial pattern (CSP) method is widely used in brain machine interface (BMI) applications to extract features from the multichannel neural activity through a set of spatial projections. These spatial projections ...
