NBC News Scripts
WBAP-TV (Television station : Fort Worth, Tex.)
1954-12-31
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Objectives: The increased use of 3-dimensional (3D) cone-beam computed tomography(CBCT) in orthodontic and orthognathic cases has provided a clear understanding of its benefitscompared to 2-dimensional (2D) cephalometric radiographs. However, current “3D hard tissueanalyses” continue to rely on 2D linear and angular measurements and do not take advantage ofthe vast amount of information that can be derived from CBCTs. The long-term objective is toestablish a user-friendly true 3D skeletal and dental analysis including quantifiable subnormswith respect to age, gender, and ethnicity. In order to eventually create a comprehensive andeffective 3D analysis, it is necessary to first develop a true 3D description of the craniofacialstructure that is both accurate and practical for the user. The specific objective of this study is todevelop an...
Usually, automatic cutting-off machines, of metallic pipes or bars, use constant cutting velocity. This mode of operation, constant cutting velocity combined with different profiles of materials to be cut, causes variable cutting forces to be applied to the saw. As a result, the cutting off machine is generally set for the worst expected conditions, otherwise excessive wear of the saw and machine will occur. Further, traditional cutting-off machines require adjustments to be made in order to automatically detect the completion of a cut. The objective of this project is the study of the application of control algorithms to the process of cutting-off metallic pipes or bars, with variable profiles, implemented in an industrial cutting-off machine, commercially available. The testes algorithms concern real-time cutting control and automati...
A collection consisting of the images of 774 live moth individuals, each moth belonging to one of 35 different UK species, was analysed to determine if data mining techniques could be used effectively for automatic species identification. Feature vectors were extracted from each of the moth images and the machine learning toolkit WEKA was used to classify the moths by species using the feature vectors. Whereas a previous analysis of this image dataset reported in the literature [A. Watson, M. O'Neill, I. Kitching, Automated identification of live moths (Macrolepidoptera) using Digital Automated Identification System (DAISY), Systematics and Biodiversity 1 (3) (2004) 287-300.] required that each moth's least worn wing region be highlighted manually for each image, WEKA was able to achieve a greater level of accuracy (85%) using support ...
We present two new methods for automatic registration of microscope images of consecutive tissue sections. They represent two possibilities for the first step in the 3-D reconstruction of histological structures from serially sectioned tissue blocks. The goal is to accurately align the sections in order to place every relevant shape contained in each image in front of its corresponding shape in the following section before detecting the structures of interest and rendering them in 3D. This is accomplished by finding the best rigid body transformation (translation and rotation) of the image being registered by maximizing a matching function based on the image content correlation. The first method makes use of the entire image information, whereas the second one uses only the information located at specific sites, as determine...
We prove the undecidability of the existence of an isomorphism between
scattered tree-automatic linear orders as well as the existence of
automorphisms of scattered word automatic linear orders. For the
existence of automatic automorphisms of word automatic linear orders,
we determine the exact level of undecidability in the arithmetical
hierarchy.
This paper describes an automatic question generator that uses semantic pattern recognition to create questions of varying depth and type for self-study or tutoring.
This work is funded by FEDER funds through the
"Programa Operacional Factores de Competitividade –
COMPETE" and by national funds by FCT- Fundação para a
Ciência e a Tecnologia, project reference FCOMP-01-0124-
FEDER-022674. The authors are grateful to Blood Portuguese
Institute.
A closed-loop servo approach is applied to the problem of controlling and estimating variance in nonstationary signals. The new circuit closely resembles, but is not the same as, automatic gain control, which is common in radio and other circuits. The closed-loop nature of the solution to this problem makes this approach highly accurate, and it can be used recursively in real time.
This paper introduces several extractive approaches for automatic image tagging, relying exclusively on information mined from texts. Through evaluations on two datasets, the authors show that their methods exceed competitive baselines by a large margin, and compare favorably with the state-of-the-art that uses both textual and image features.
In this paper, we propose a novel method for automatic orientation of digital images. The approach is based on exploiting the properties of local statistics of natural scenes. In this way, we address some of the difficulties encountered in previous works in this area. The main contribution of this paper is to introduce a pre-classification step into carefully defined categories in order to simplify subsequent orientation detection. The proposed algorithm was tested on 9068 images and compared to existing state of the art in the area. Results show a significant improvement over previous works
