Acoustic Signal Classification for Deforestation Monitoring: Tree Cutting Problem

نویسندگان

چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Robust Classification Techniques for Acoustic Signal Analysis

Classiication of short duration acoustic signals can be very diicult due to the high degree of variability in the signatures. Input feature vectors, resulting from wavelets or short time Fourier analysis, are typically of high dimensionality, noisy, and contain incomplete information. In this paper, robust artiicial neu-ral networks (ANNs) are identiied that are less sensitive to noisy feature ...

متن کامل

Signal Classification for Acoustic Neutrino Detection

This article focuses on signal classification for deep-sea acoustic neutrino detection. In the deep sea, the background of transient signals is very diverse. Approaches like matched filtering are not sufficient to distinguish between neutrinolike signals and other transient signals with similar signature, which are forming the acoustic background for neutrino detection in the deep-sea environme...

متن کامل

Statistical Process Control for Cutting Tool of Acoustic Emission Monitoring

The problem of cutting process monitoring has been investigated in recent years, with encouraging results, using pattern recognition analysis of acoustic emission (AE) signals. The analyses are based on linear discriminant functions, which assume that the observed data (from each class) are independent random samples from multivariate normal distributions with equal covariance matrices. However...

متن کامل

Acoustic emission classification using signal subspace projections

In using acoustic emissions (AE) for mechanical diagnostics, one major problem is the differentiation of events due to crack growth in a component from noise of various origins. This work presents two algorithms for automatic clustering and separation of AE events based on multiple features extracted from experimental data. The first algorithm consists of two steps. In the first step, the noise...

متن کامل

An ACO algorithm for one-dimensional cutting stock problem

The one-dimensional cutting stock problem, has so many applications in lots of industrial processes and during the past few years has attracted so many researchers’ attention all over the world. In this paper a meta-heuristic method based on ACO is presented to solve this problem. In this algorithm, based on designed probabilistic laws, artificial ants do select various cuts and then select the...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Journal of Computer Science & Systems Biology

سال: 2018

ISSN: 0974-7230

DOI: 10.4172/jcsb.1000269