Conventional manual surveys of rock mass fractures usually require large amounts of time and labor; yet, they provide a relatively small set of data that cannot be considered representative of the study region. Terrestrial laser scanners are increasingly used for fracture surveys because they can efficiently acquire large area, high-resolution, three-dimensional (3D) point clouds from outcrops....

Laser infrared Detection and Ranging (LiDAR) has become one competitive remote sensing (RS) and photogrammetry technique. Extracting rivers’ distribution from LiDAR’s point cloud is one of its important research directions. But traditional methods are not completely suitable for the ranging data of LiDAR. Novel algorithm with profile factor as the kernel circle is proposed for rivers’ automatic...

In many medical image segmentation applications identifying and extracting the region of interest (ROI) accurately is an important step. The usual approach to extract ROI is to apply image segmentation methods. In this paper, we focus on extracting ROI by segmentation based on visual attended locations. Chan-Vese active contour model is used for image segmentation and attended locations are det...

In this paper a number of issues relating to the application of string processing techniques on musical sequences are discussed. Special attention is given to musical pattern extraction. Firstly, a number of general problems are presented in terms of musical representation and pattern processing methodologies. Then a number of interesting melodic pattern matching problems are presented. Finally...

We study interpolant extraction from local first-order refutations. We present a new theoretical perspective on interpolation based on clearly separating the condition on logical strength of the formula from the requirement on the common signature. This allows us to highlight the space of all interpolants that can be extracted from a refutation as a space of simple choices on how to split the r...

Abstract We propose a new method of computing real emission contributions to hard QCD processes. Our approach uses sector decomposition of the exclusive final-state phase space to enable extraction of all singularities of the real emission matrix elements before integration over any kinematic variable. The exact kinematics of the real emission process are preserved in all regions of phase space...

In this paper we attempt to demonstrate the strengths of Hierarchical Hidden Markov Models (HHMMs) in the representation and modelling of musical structures. We show how relatively simple HHMMs, containing a minimum of expert knowledge, use their advantage of having multiple layers to perform well on tasks where flat Hidden Markov Models (HMMs) struggle. The examples in this paper show a HHMM’s...

This paper presents a different approach in extracting prefixes from Malay words, by training a backpropagation neural network to learn a set of rules. Since Malay prefixes change a rootword whereas suffixes don't, our attempt focuses on extracting prefixes from words. A set of rules are devised, on which the network is trained to a satisfactory level. Next, the network is tested upon using som...

In the present work, a method for extracting cellulose from olive industry solid waste has been developed. The method involves subjecting solid olive waste to kraft pulping, followed by multistep bleaching processes. The totally free chlorine chemical bleaching sequence APEP was the most effective and gave an average cellulose yield of about 35%. The extracted cellulose was extensively characte...

Search engines perform the task of retrieving information related to the user-supplied query words. This task has two parts; one is finding ’featured words’ which describe an article best and the other is finding a match among these words to user-defined search terms. There are two main independent approaches to achieve this task. The first one, using the concepts of semantics, has been impleme...