Search results for "DISTANCE"
showing 10 items of 1009 documents
Certhia tianquanensis Li, a treecreeper with relict distribution in Sichuan, China
2002
Certhia tianquanensis Li, 1995, is characterised as a distinct species and is combined withC. discolor in the superspeciesC. [discolor]. This probably relict species occupies an extremely small range, and has so far been found at only four sites in western Sichuan, China. It is characterised by a long tail (likeC. discolor), an extremely short bill (similar toC. nipalensis), the patterning on the underside, with white chin and throat and beige chest and abdomen (likeC. himalayana), a striking voice (clearly different fromC. discolor and all otherCerthia species), and a large genetic distance fromC. d. discolor in the cytochrome-b gene. Unlike its closest relativeC. discolor, C. tianquanensi…
DNA barcoding for Arecaceae and Fabaceae species identification of two plant collections
2021
DNA barcoding is a well-known technique that enable species identification by using universal DNA sequences from a small fragment of the genome. In this work, the effectiveness of DNA barcoding approach was evaluated in order to identify different taxonomic groups among two families (Arecaceae and Fabaceae) from two flowering plant collections: some were economically important taxa from nursery production and Mediterranean plants with ornamental attitude for possible new introduction. Three chloroplast DNA barcode regions (matK, rbcL and trnH-psbA) proposed by the Consortium for the Barcode of Life (CBOL) were tested in 22 Arecaceae species and in eight Fabaceae species, including Ceratonia…
Parallel distance transforms on pyramid machines: Theory and implementation
1990
Abstract A distance transform of a binary image is an array each of whose elements gives the distance from the corresponding pixel to the closest ‘1’ in the binary image. Distance transforms have uses in image matching and shape analysis, among other applications. We present a parallel algorithm for weighted distance transforms that runs particularly efficiently on hierarchical cellular-logic machines, a subclass of the architectures known as pyramid machines. The algorithm computes the 3–4 distance transform; however it can be readily adapted to the city-block (‘Manhattan’) and chessboard distance measures. The algorithm runs in O(M) time, for an M × M image. Since it avoids using arithmet…
A principled approach to network-based classification and data representation
2013
Measures of similarity are fundamental in pattern recognition and data mining. Typically the Euclidean metric is used in this context, weighting all variables equally and therefore assuming equal relevance, which is very rare in real applications. In contrast, given an estimate of a conditional density function, the Fisher information calculated in primary data space implicitly measures the relevance of variables in a principled way by reference to auxiliary data such as class labels. This paper proposes a framework that uses a distance metric based on Fisher information to construct similarity networks that achieve a more informative and principled representation of data. The framework ena…
2D geon based generic object recognition
2011
The Recognition by Components(RBC) is a theory in Psychology introduced by Biederman in the late 80s, by which humans perceive scenes through simple 3D objects with regular shapes such as spheres, cubes, cylinders, cones, or wedges, called Geons (geometric ions). Extracting geons from 2D images is a very challenging task as it requires a good segmentation and the recognition of the 3D geons in a 2D space. In this paper, we propose a novel approach for extracting 2D geons from 2D images. The process is composed of three major parts: image preprocessing which includes image background removal and segmentation, arc-geon detection, and polygon-geon detection. We also propose a general procedure…
Personalized distance learning based on multiagent ontological system
2004
The paper presents architecture of a personalized distance learning system based on multiagent technology and ontological modelling of students' profiles. Delocalization of a student data in the system is achieved by software agents, which assumed to be distributed at different platforms. These platforms operate as separate Web services and use the ACL (agent communication language) for the data transfer. In this paper the algorithm is proposed, according to which the multiagent ontological system for personalized distance learning (MOSPDL) solves the tasks of distant learning process automation, which assume utilization of the ontological models of students' and learning resources' profile…
Distance Factors in the Foreign Market Entry of Software SMEs
2010
Recent studies have indicated that the internationalization process of software SMEs is somewhat independent on the effect of psychic or geographic distance. However, these studies have analyzed the general pattern of entries where software SMEs not commonly follow a step-wise entry route from nearby countries to distant ones. Thus, it remains unknown what the effect of psychic and geographical distance is when these firms enter a distant foreign market. The findings in this case study reveal that psychic and geographic distance inhibited the foreign market entry of software SMEs. However, the distant foreign market entry of these firms was facilitated by distance-bridging and distance-comp…
A combined single range and single image device for low-cost measurement of building facade features
2008
The dimensions of building facades and window apertures are usually determined by making direct measurements using tapes and plummets. This approach, however, has a number of drawbacks including the physical risk to which the persons making the measurements are exposed. This paper proposes an indirect approach based on close range photogrammetry that is inexpensive, simple, fast and safe, and which does not require specialist staff or direct ground control measurements. The method is based on taking a picture using a digital camera and measuring the distance to the object using a handheld laser distance meter. Both items of equipment are mounted on a specially designed support that allows t…
Exploring Heterogeneity with Category and Cluster Analyses for Mixed Data
2023
Precision medicine aims to overcome the traditional one-model-fits-the-whole-population approach that is unable to detect heterogeneous disease patterns and make accurate personalized predictions. Heterogeneity is particularly relevant for patients with complications of type 2 diabetes, including diabetic kidney disease (DKD). We focus on a DKD longitudinal dataset, aiming to find specific subgroups of patients with characteristics that have a close response to the therapeutic treatment. We develop an approach based on some particular concepts of category theory and cluster analysis to explore individualized modelings and achieving insights onto disease evolution. This paper exploits the vi…
Dragging a Polymer Chain into a Nanotube and Subsequent Release
2008
We present a scaling theory and Monte Carlo (MC) simulation results for a flexible polymer chain slowly dragged by one end into a nanotube. We also describe the situation when the completely confined chain is released and gradually leaves the tube. MC simulations were performed for a self-avoiding lattice model with a biased chain growth algorithm, the pruned-enriched Rosenbluth method. The nanotube is a long channel opened at one end and its diameter $D$ is much smaller than the size of the polymer coil in solution. We analyze the following characteristics as functions of the chain end position $x$ inside the tube: the free energy of confinement, the average end-to-end distance, the averag…