An error analysis of PPP (Precise Point Positioning) using IF (Ionosphere Free) combination is given in this paper. It is shown that the performance of the ordinary model with positions, clock bias, integer ambiguitie...
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In this paper, first we introduce a label-based closest-neighbor trimming method to trim a phylogenetic tree built from nucleotide sequences according to the labels of leaves. Next, by replacing the indices of nucleot...
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Abstract This work presents a systematic study of objective evaluations of abstaining classifications using information-theoretic measures (ITMs). First, we define objective measures as the ones which do not depend on...
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Abstract This work presents a systematic study of objective evaluations of abstaining classifications using information-theoretic measures (ITMs). First, we define objective measures as the ones which do not depend on any free parameter. According to this definition, technical simplicity for examining “ objectivity ” or “ subjectivity ” is directly provided for classification evaluations. Second, we propose 24 normalized ITMs for investigation, which are derived from either mutual information, divergence, or cross-entropy. Contrary to conventional performance measures that apply empirical formulas based on users' intuitions or preferences, the ITMs are theoretically more general for realizing objective evaluations of classifications. They are able to distinguish “error types” and “reject types” in binary classifications without the need to inputting data of cost terms. Third, to better understand and select the ITMs, we suggest three desirable features for classification assessment measures, which appear more crucial and appealing from the viewpoint of classification applications. Using these features as “ meta-measures ”, we can reveal the advantages and limitations of ITMs from a higher level of evaluation knowledge. Numerical examples are given to demonstrate our claims and compare the differences among the proposed measures. The best measure is selected in terms of the meta-measures, and its specific properties regarding error types and reject types are analytically derived.
The present paper has the goal of studying orbital maneuvers of Rendezvous, that is an orbital transfer where a spacecraft has to change its orbit to meet with another spacecraft that is travelling in another orbit. T...
The present paper has the goal of studying orbital maneuvers of Rendezvous, that is an orbital transfer where a spacecraft has to change its orbit to meet with another spacecraft that is travelling in another orbit. This transfer will be accomplished by using a multi-impulsive control. A genetic algorithm is used to find the transfers that have minimum fuel consumption.
A trim distance as a phylogeny-based distance between two positions in nucleotide sequences is formulated as an LCA-preserving distance between the trimmed phylogenetic trees by the positions. In this paper, in order ...
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ISBN:
(纸本)9781467327428
A trim distance as a phylogeny-based distance between two positions in nucleotide sequences is formulated as an LCA-preserving distance between the trimmed phylogenetic trees by the positions. In this paper, in order to investigate the positions as packaging signals of nucleotide sequences in influenza A (H3N2) viruses, we compute and compare the trim distances between positions in the nucleotide sequences of influenza A (H3N2) viruses provided from NCBI.
Identification of machine condition is crucial to reduce machine downtime and scrap parts in the manufacturing industries. In this paper, we propose a novel methodology to identify life stage and estimate machine wear...
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Identification of machine condition is crucial to reduce machine downtime and scrap parts in the manufacturing industries. In this paper, we propose a novel methodology to identify life stage and estimate machine wear. The proposed framework is based on stage identification using Support Vector Machines (SVMs) and machine wear estimation using AutoRegressive Moving Average with eXogenous inputs (ARMAX) models. Our proposed framework is evaluated on a high-speed industrial milling machine, and the effectiveness of the proposed methodology in tool wear stage identification and tool wear estimation is verified with experimental results.
This issue marks the beginning of the IEEE Transactions on Neural Networks and Learning Systems (TNNLS). By adding «Learning Systems» to the title, we now state explicitly the scope of the TRANSACTIONS to in...
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Mashhad, the second largest city in Iran, like many other big cities, is faced with increasing traffic congestion owing to rapidly increasing population and annual pilgrimage. In recent years, Mashhad traffic and tran...
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Mashhad, the second largest city in Iran, like many other big cities, is faced with increasing traffic congestion owing to rapidly increasing population and annual pilgrimage. In recent years, Mashhad traffic and transportation authorities have been challenged with how to manage the increasing congestion with limited budgets for major roadway construction projects. Mashhad has recognized the need to improve the existing system capacity to get the most out of their cur- rent transportation system infrastructures. Since most of the delay times occur at signalized intersections, using an intelligent control system with proper capabilities to overcome the growing traffic requirements is recommended. Following comprehensive studies carried out with the aim of developing the Mashhad traffic control center, the SCATS adaptive traffic control system was introduced as the selected intelligent control system for integrating signalized intersections. The first intersection was equipped with this system in 2005. This paper describes the results of a field evaluation in which fixed actuated-coordinated signal timings are compared with those dynamically computed by SCATS. The ef- fects of this system on optimizing fuel consumption as well as reducing air pollutants are fully discussed. It is found that SCATS consistently reduced travel times and the average delay per stopped or approaching vehicle. The positive impact of adaptive traffic control systems on fuel consumption and air pollution are also highlighted.
The purpose of this paper is to provide a path for designing a tool for decision support to ensure the effectiveness of Quality Management System (QMS). For this, we propose a Fuzzy-Neural Networks (FNN) approach for ...
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The purpose of this paper is to provide a path for designing a tool for decision support to ensure the effectiveness of Quality Management System (QMS). For this, we propose a Fuzzy-Neural Networks (FNN) approach for improving the efficiency of such system. The aim of this approach is to classify the objectives for a real-world case study which presents a major problem for controlling the quality levels of its production lines. This approach provided a significant improvement when the testing data are various or complex.
An important issue in the analysis of two-dimensional electrophoresis images is the detection and quantification of protein spots. The main challenges in the segmentation of 2DGE images are to separate overlapping pro...
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