Current mammographic screeningfor breast cancer is less effective for younger women. To complement mammography for premenopausal women, we investigated the feasibility screening test using 98 blood serum proteins. Bec...
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In order to assist driver's vision, a real-time recognition system for traffic signs is proposed. After detecting sign candidates, biologically inspired opponent-color filters are used to extract symbol parts of s...
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ISBN:
(纸本)9781617387777
In order to assist driver's vision, a real-time recognition system for traffic signs is proposed. After detecting sign candidates, biologically inspired opponent-color filters are used to extract symbol parts of signs. After normalizing the size of symbol, structural features are calculated to identify the sign. 5572 segmented images are used to design the algorithm. In a real-time system, the same sign in a sequence of frames is tracked, and a majority vote is used to integrate the recognition results. For test data, 93.8% recall rate and 99.3% precision rate could be attained. In-vehicle experiment also showed high recall and precision rates.
The aim of this work is to handle non-interval type-2 fuzzy logic systems (NIT2 FLS) in a simple manner. We retrieve an alternative representation of Type-2 fuzzy sets (T2 FS) that we call general footprint of uncerta...
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The aim of this work is to handle non-interval type-2 fuzzy logic systems (NIT2 FLS) in a simple manner. We retrieve an alternative representation of Type-2 fuzzy sets (T2 FS) that we call general footprint of uncertainty. Such representation, not only lets us easily visualize T2 FS in two-dimensions but also makes the understanding of basic operations and the inference procedure easier. We introduce the concept of supremum of a T2 FS and translation and cylindric extension for vertical slices to support the adopted inference mechanism, based on the scaled inference mechanism of Type-1 FIS. Finally, we propose a new defuzzification method, the vertical slice centroid type reduction, which requires low computational effort. Some calculations are presented to illustrate that the theory and simplifications proposed in this paper make NIT2 FLS, referred here as general type-2 fuzzy inference systems, much more accessible to FIS designers.
The effects of Epley's maneuver in benign paroxysmal positional vertigo (BPPV) associated with Menière's disease are controversial. Aims: To evaluate the progression of positional vertigo and nystagmus af...
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Polygon clipping is an important operation that computers execute all the time. An algorithm that clips a polygon is rather complex. Each edge of the polygon must be tested against each edge of the clipping window, us...
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ISBN:
(纸本)9788517000362
Polygon clipping is an important operation that computers execute all the time. An algorithm that clips a polygon is rather complex. Each edge of the polygon must be tested against each edge of the clipping window, usually a rectangle. As a result, new edges may be added, and existing edges may be discarded, retained, or divided. Multiple polygons may result from clipping a single polygon. After clipping, we may have a set of segments, which must be handled to generate the clipped polygon. This work proposes two new algorithms: clipping polygon against a rectangle window, and polygon reconstruction from a set of segments. The algorithms were implemented in Secondo, a platform for implementing and experimenting with various kinds of data models.
Finding a boat in wind and current is an age old problem that puzzled many people throughout history. It is only until recently a simple theory is developed to allow efficient and accurate prediction of the boat's...
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ISBN:
(纸本)1934272256
Finding a boat in wind and current is an age old problem that puzzled many people throughout history. It is only until recently a simple theory is developed to allow efficient and accurate prediction of the boat's drift trajectory. Such theory could be developed using simple physics and algebra. In this paper, we will describe the derivation of the theory that would give the boat's trajectory in terms of different types of boat condition under given wind field and current field. We will show that the relationship is versatile, and could be used for practical application. We will further implement the results in computer animation setting so that the results can be obtained easily for a given application. The paper demonstrates the power of mathematics and technology to solve problem of boat drift of search and rescue.
In this paper, we try to estimate Japan's cabinet approval ratings by using neural networks. In addition, we try to extract the important features in input patterns. This is the first attempt to use neural network...
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ISBN:
(纸本)9780889866317
In this paper, we try to estimate Japan's cabinet approval ratings by using neural networks. In addition, we try to extract the important features in input patterns. This is the first attempt to use neural networks and to interpret the mechanism of inference for approval estimation in a comprehensive way. Experimental results show that neural networks have much better performance than that obtained by the standard regression analysis in terms of training and testing errors. The information loss analysis reveals that the first variable, that is, the previous ratings should play the most important role in inference. Though the experimental result here shown is a preliminary one, it certainly suggests a possibility of the automatic inference of cabinet approval ratings.
The urgent need in the field of nanotechnology is functional, reliable, and scalable techniques for more complicated and controlled nanostructures in order to realize nanoscale materials and devices that have practica...
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The urgent need in the field of nanotechnology is functional, reliable, and scalable techniques for more complicated and controlled nanostructures in order to realize nanoscale materials and devices that have practical use and more capability than existing technologies. This paper addresses this need by presenting an in vitro protocol to select large non-crosshybridizing (NCH) libraries of oligonucleotides that provide a large address space of DNA sequences with which to increase both complexity and control in DNA-directed self-assembly processes. The selection protocol was experimentally verified and confirmed. The resultant large NCH libraries would allow self-assembling complex nanostructures with more precise control, leading to reliable, scaled-up, cost-effective manufacturing of nanoscale devices and systems.
We explore whether protein-RNA interfaces differ from non-interfaces in terms of their structural features and whether structural features vary according to the type of the bound RNA (e.g., mRNA, siRNA...etc), using a...
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We explore whether protein-RNA interfaces differ from non-interfaces in terms of their structural features and whether structural features vary according to the type of the bound RNA (e.g., mRNA, siRNA...etc), using a non-redundant dataset of 147 protein chains extracted from protein-RNA complexes in the protein data bank. Our analysis of surface roughness, solid angle and CX value of amino acid residues for each of the protein chains in the dataset shows that: The protein-RNA interface residues tend to be protruding compared to non-interface residues and tend to have higher surface roughness and exhibit moderately convex or concave solid angles. Furthermore, the protein chains in protein-RNA interfaces that contain Viral RNA and rRNA significantly differ from those that contain dsRNA, mRNA siRNA, snRNA, SRP RNA and tRNA with respect to their CX values. The results of this analysis sug gests the possibility of using such structural features to reliably identify protein-RNA interface residues when the structure of the protein is available but the structures of complexes formed by the protein with RNA are not.
In large communities, finding experts or partners can sometimes be hard. Normally, to find new partners one asks for recommendations from known acquaintances. This is a form of social navigation, whereby one searches ...
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ISBN:
(纸本)1424409624
In large communities, finding experts or partners can sometimes be hard. Normally, to find new partners one asks for recommendations from known acquaintances. This is a form of social navigation, whereby one searches for others in the network, who might fit required profiles. Time is an important factor in this type of situation, as needs, interests and expertise levels change rapidly. This paper presents a peer-to-peer system to assist social network navigation and search. It builds user profiles through an analysis of ongoing activities that takes time into account, and matches these to find opportunities for collaboration.
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