WorldWideScience

Sample records for features osoblivostyi perekhyidnogo

  1. Understanding Legacy Features with Featureous

    DEFF Research Database (Denmark)

    Olszak, Andrzej; Jørgensen, Bo Nørregaard

    2011-01-01

    Feature-centric comprehension of source code is essential during software evolution. However, such comprehension is oftentimes difficult to achieve due the discrepancies between structural and functional units of object-oriented programs. We present a tool for feature-centric analysis of legacy...

  2. Site Features

    Data.gov (United States)

    U.S. Environmental Protection Agency — This dataset consists of various site features from multiple Superfund sites in U.S. EPA Region 8. These data were acquired from multiple sources at different times...

  3. Feature Extraction

    CERN Document Server

    CERN. Geneva

    2015-01-01

    Feature selection and reduction are key to robust multivariate analyses. In this talk I will focus on pros and cons of various variable selection methods and focus on those that are most relevant in the context of HEP.

  4. Solar Features

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Collection includes a variety of solar feature datasets contributed by a number of national and private solar observatories located worldwide.

  5. Featuring animacy

    Directory of Open Access Journals (Sweden)

    Elizabeth Ritter

    2015-01-01

    Full Text Available Algonquian languages are famous for their animacy-based grammatical properties—an animacy based noun classification system and direct/inverse system which gives rise to animacy hierarchy effects in the determination of verb agreement. In this paper I provide new evidence for the proposal that the distinctive properties of these languages is due to the use of participant-based features, rather than spatio-temporal ones, for both nominal and verbal functional categories (Ritter & Wiltschko 2009, 2014. Building on Wiltschko (2012, I develop a formal treatment of the Blackfoot aspectual system that assumes a category Inner Aspect (cf. MacDonald 2008, Travis 1991, 2010. Focusing on lexical aspect in Blackfoot, I demonstrate that the classification of both nouns (Seinsarten and verbs (Aktionsarten is based on animacy, rather than boundedness, resulting in a strikingly different aspectual system for both categories. 

  6. Online feature selection with streaming features.

    Science.gov (United States)

    Wu, Xindong; Yu, Kui; Ding, Wei; Wang, Hao; Zhu, Xingquan

    2013-05-01

    We propose a new online feature selection framework for applications with streaming features where the knowledge of the full feature space is unknown in advance. We define streaming features as features that flow in one by one over time whereas the number of training examples remains fixed. This is in contrast with traditional online learning methods that only deal with sequentially added observations, with little attention being paid to streaming features. The critical challenges for Online Streaming Feature Selection (OSFS) include 1) the continuous growth of feature volumes over time, 2) a large feature space, possibly of unknown or infinite size, and 3) the unavailability of the entire feature set before learning starts. In the paper, we present a novel Online Streaming Feature Selection method to select strongly relevant and nonredundant features on the fly. An efficient Fast-OSFS algorithm is proposed to improve feature selection performance. The proposed algorithms are evaluated extensively on high-dimensional datasets and also with a real-world case study on impact crater detection. Experimental results demonstrate that the algorithms achieve better compactness and higher prediction accuracy than existing streaming feature selection algorithms.

  7. Designing using manufacturing features

    Science.gov (United States)

    Szecsi, T.; Hoque, A. S. M.

    2012-04-01

    This paper presents a design system that enables the composition of a part using manufacturing features. Features are selected from feature libraries. Upon insertion, the system ensures that the feature does not contradict the design-for-manufacture rules. This helps eliminating costly manufacturing problems. The system is developed as an extension to a commercial CAD/CAM system Pro/Engineer.

  8. Features of the Bible

    Institute of Scientific and Technical Information of China (English)

    刘隽

    2008-01-01

    Every literature has its features in some aspects,so is the Bible,one of the greatest literary works in the world that has great impact on western literature.This paper summarizes two features of the Bible,namely,cultural feature and literary feature.

  9. Feature-Aware Verification

    CERN Document Server

    Apel, Sven; Wendler, Philipp; von Rhein, Alexander; Beyer, Dirk

    2011-01-01

    A software product line is a set of software products that are distinguished in terms of features (i.e., end-user--visible units of behavior). Feature interactions ---situations in which the combination of features leads to emergent and possibly critical behavior--- are a major source of failures in software product lines. We explore how feature-aware verification can improve the automatic detection of feature interactions in software product lines. Feature-aware verification uses product-line verification techniques and supports the specification of feature properties along with the features in separate and composable units. It integrates the technique of variability encoding to verify a product line without generating and checking a possibly exponential number of feature combinations. We developed the tool suite SPLverifier for feature-aware verification, which is based on standard model-checking technology. We applied it to an e-mail system that incorporates domain knowledge of AT&T. We found that feat...

  10. Unsupervised Feature Subset Selection

    DEFF Research Database (Denmark)

    Søndberg-Madsen, Nicolaj; Thomsen, C.; Pena, Jose

    2003-01-01

    This paper studies filter and hybrid filter-wrapper feature subset selection for unsupervised learning (data clustering). We constrain the search for the best feature subset by scoring the dependence of every feature on the rest of the features, conjecturing that these scores discriminate some...... irrelevant features. We report experimental results on artificial and real data for unsupervised learning of naive Bayes models. Both the filter and hybrid approaches perform satisfactorily....

  11. Parallel Feature Extraction System

    Institute of Scientific and Technical Information of China (English)

    MAHuimin; WANGYan

    2003-01-01

    Very high speed image processing is needed in some application specially for weapon. In this paper, a high speed image feature extraction system with parallel structure was implemented by Complex programmable logic device (CPLD), and it can realize image feature extraction in several microseconds almost with no delay. This system design is presented by an application instance of flying plane, whose infrared image includes two kinds of feature: geometric shape feature in the binary image and temperature-feature in the gray image. Accordingly the feature extraction is taken on the two kind features. Edge and area are two most important features of the image. Angle often exists in the connection of the different parts of the target's image, which indicates that one area ends and the other area begins. The three key features can form the whole presentation of an image. So this parallel feature extraction system includes three processing modules: edge extraction, angle extraction and area extraction. The parallel structure is realized by a group of processors, every detector is followed by one route of processor, every route has the same circuit form, and works together at the same time controlled by a set of clock to realize feature extraction. The extraction system has simple structure, small volume, high speed, and better stability against noise. It can be used in the war field recognition system.

  12. JCE Feature Columns

    Science.gov (United States)

    Holmes, Jon L.

    1999-05-01

    The Features area of JCE Online is now readily accessible through a single click from our home page. In the Features area each column is linked to its own home page. These column home pages also have links to them from the online Journal Table of Contents pages or from any article published as part of that feature column. Using these links you can easily find abstracts of additional articles that are related by topic. Of course, JCE Online+ subscribers are then just one click away from the entire article. Finding related articles is easy because each feature column "site" contains links to the online abstracts of all the articles that have appeared in the column. In addition, you can find the mission statement for the column and the email link to the column editor that I mentioned above. At the discretion of its editor, a feature column site may contain additional resources. As an example, the Chemical Information Instructor column edited by Arleen Somerville will have a periodically updated bibliography of resources for teaching and using chemical information. Due to the increase in the number of these resources available on the WWW, it only makes sense to publish this information online so that you can get to these resources with a simple click of the mouse. We expect that there will soon be additional information and resources at several other feature column sites. Following in the footsteps of the Chemical Information Instructor, up-to-date bibliographies and links to related online resources can be made available. We hope to extend the online component of our feature columns with moderated online discussion forums. If you have a suggestion for an online resource you would like to see included, let the feature editor or JCE Online (jceonline@chem.wisc.edu) know about it. JCE Internet Features JCE Internet also has several feature columns: Chemical Education Resource Shelf, Conceptual Questions and Challenge Problems, Equipment Buyers Guide, Hal's Picks, Mathcad

  13. Time Varying Feature Data

    Science.gov (United States)

    Echterhoff, J.; Simonis, I.; Atkinson, R.

    2012-04-01

    The infrastructure to gather, store and access information about our environment is improving and growing rapidly. The increasing amount of information allows us to get a better understanding of the current state of our environment, historical processes and to simulate and predict the future state of the environment. Finer grained spatial and temporal data and more reliable communications make it easier to model dynamic states and ephemeral features. The exchange of information within and across geospatial domains is facilitated through the use of harmonized information models. The Observations & Measurements (O&M) developed through OGC and standardised by ISO is an example of such a cross-domain information model. It is used in many domains, including meteorology, hydrology as well as the emergency management. O&M enables harmonized representation of common metadata that belong to the act of determining the state of a feature property, whether by sensors, simulations or humans. In addition to the resulting feature property value, information such as the result quality but especially the time that the result applies to the feature property can be represented. Temporal metadata is critical to modelling past and future states of a feature. The features, and the semantics of each property, are defined in domain specific Application Schema using the General Feature Model (GFM) from ISO 19109 and usually encoded following ISO 19136. However, at the moment these standards provide only limited support for the representation and handling of time varying feature data. Features like rivers, wildfires or gas plumes have a defined state - for example geographic extent - at any given point in time. To keep track of changes, a more complex model for example using time-series coverages is required. Furthermore, the representation and management of feature property value changes via the service interfaces defined by OGC and ISO - namely: WFS and WCS - would be rather complex

  14. Features of resilience

    Energy Technology Data Exchange (ETDEWEB)

    Connelly, Elizabeth B.; Allen, Craig R.; Hatfield, Kirk; Palma-Oliveira, José M.; Woods, David D.; Linkov, Igor

    2017-02-20

    The National Academy of Sciences (NAS) definition of resilience is used here to organize common concepts and synthesize a set of key features of resilience that can be used across diverse application domains. The features in common include critical functions (services), thresholds, cross-scale (both space and time) interactions, and memory and adaptive management. We propose a framework for linking these features to the planning, absorbing, recovering, and adapting phases identified in the NAS definition. The proposed delineation of resilience can be important in understanding and communicating resilience concepts.

  15. Coherent branching feature bisimulation

    Directory of Open Access Journals (Sweden)

    Tessa Belder

    2015-04-01

    Full Text Available Progress in the behavioral analysis of software product lines at the family level benefits from further development of the underlying semantical theory. Here, we propose a behavioral equivalence for feature transition systems (FTS generalizing branching bisimulation for labeled transition systems (LTS. We prove that branching feature bisimulation for an FTS of a family of products coincides with branching bisimulation for the LTS projection of each the individual products. For a restricted notion of coherent branching feature bisimulation we furthermore present a minimization algorithm and show its correctness. Although the minimization problem for coherent branching feature bisimulation is shown to be intractable, application of the algorithm in the setting of a small case study results in a significant speed-up of model checking of behavioral properties.

  16. Coherent branching feature bisimulation

    NARCIS (Netherlands)

    T. Belder (Tessa); M.H. ter Beek (Maurice); E.P. de Vink (Erik Peter)

    2015-01-01

    textabstractProgress in the behavioral analysis of software product lines at the family level benefits from further development of the underlying semantical theory. Here, we propose a behavioral equivalence for feature transition systems (FTS) generalizing branching bisimulation for labeled

  17. Feature selection in bioinformatics

    Science.gov (United States)

    Wang, Lipo

    2012-06-01

    In bioinformatics, there are often a large number of input features. For example, there are millions of single nucleotide polymorphisms (SNPs) that are genetic variations which determine the dierence between any two unrelated individuals. In microarrays, thousands of genes can be proled in each test. It is important to nd out which input features (e.g., SNPs or genes) are useful in classication of a certain group of people or diagnosis of a given disease. In this paper, we investigate some powerful feature selection techniques and apply them to problems in bioinformatics. We are able to identify a very small number of input features sucient for tasks at hand and we demonstrate this with some real-world data.

  18. Fingerprint Feature Extraction Algorithm

    Directory of Open Access Journals (Sweden)

    Mehala. G

    2014-03-01

    Full Text Available The goal of this paper is to design an efficient Fingerprint Feature Extraction (FFE algorithm to extract the fingerprint features for Automatic Fingerprint Identification Systems (AFIS. FFE algorithm, consists of two major subdivisions, Fingerprint image preprocessing, Fingerprint image postprocessing. A few of the challenges presented in an earlier are, consequently addressed, in this paper. The proposed algorithm is able to enhance the fingerprint image and also extracting true minutiae.

  19. Fingerprint Feature Extraction Algorithm

    OpenAIRE

    Mehala. G

    2014-01-01

    The goal of this paper is to design an efficient Fingerprint Feature Extraction (FFE) algorithm to extract the fingerprint features for Automatic Fingerprint Identification Systems (AFIS). FFE algorithm, consists of two major subdivisions, Fingerprint image preprocessing, Fingerprint image postprocessing. A few of the challenges presented in an earlier are, consequently addressed, in this paper. The proposed algorithm is able to enhance the fingerprint image and also extractin...

  20. Driver Fatigue Features Extraction

    Directory of Open Access Journals (Sweden)

    Gengtian Niu

    2014-01-01

    Full Text Available Driver fatigue is the main cause of traffic accidents. How to extract the effective features of fatigue is important for recognition accuracy and traffic safety. To solve the problem, this paper proposes a new method of driver fatigue features extraction based on the facial image sequence. In this method, first, each facial image in the sequence is divided into nonoverlapping blocks of the same size, and Gabor wavelets are employed to extract multiscale and multiorientation features. Then the mean value and standard deviation of each block’s features are calculated, respectively. Considering the facial performance of human fatigue is a dynamic process that developed over time, each block’s features are analyzed in the sequence. Finally, Adaboost algorithm is applied to select the most discriminating fatigue features. The proposed method was tested on a self-built database which includes a wide range of human subjects of different genders, poses, and illuminations in real-life fatigue conditions. Experimental results show the effectiveness of the proposed method.

  1. Feature Technology in Product Modeling

    Institute of Scientific and Technical Information of China (English)

    ZHANG Xu; NING Ruxin

    2006-01-01

    A unified feature definition is proposed. Feature is form-concentrated, and can be used to model product functionalities, assembly relations, and part geometries. The feature model is given and a feature classification is introduced including functional, assembly, structural, and manufacturing features. A prototype modeling system is developed in Pro/ENGINEER that can define the assembly and user-defined form features.

  2. Searchable solar feature catalogues

    Science.gov (United States)

    Zharkova, V. V.; Aboudarham, J.; Zharkov, S.; Ipson, S. S.; Benkhalil, A. K.; Fuller, N.

    The searchable Solar Feature Catalogues (SFCs) are developed from digitized solar images using automated pattern recognition techniques. The techniques were applied for the detection of sunspots, active regions, filaments and line-of-sight magnetic neutral lines in automatically standardized full disk solar images in Ca II K1, Ca II K3 and Ha lines taken at the Paris-Meudon Observatory and white light images and magnetograms from SOHO/MDI. The results of the automated recognition were verified with manual synoptic maps and available statistical data that revealed good detection accuracy. Based on the recognized parameters, a structured database of Solar Feature Catalogues was built on a MySQL server for every feature and published with various pre-designed search pages on the Bradford University web site http://www.cyber.brad.ac.uk/egso/SFC/. The SFCs with nine year coverage (1996-2004) is to be used for deeper investigation of the feature classification and solar activity forecast.

  3. Weighted Feature Distance

    DEFF Research Database (Denmark)

    Ortiz-Arroyo, Daniel; Yazdani, Hossein

    2017-01-01

    The accuracy of machine learning methods for clustering depends on the optimal selection of similarity functions. Conventional distance functions for the vector space might cause an algorithm to being affected by some dominant features that may skew its final results. This paper introduces a flexib...

  4. Live facial feature extraction

    Institute of Scientific and Technical Information of China (English)

    ZHAO JieYu

    2008-01-01

    Precise facial feature extraction is essential to the high-level face recognition and expression analysis. This paper presents a novel method for the real-time geomet-ric facial feature extraction from live video. In this paper, the input image is viewed as a weighted graph. The segmentation of the pixels corresponding to the edges of facial components of the mouth, eyes, brows, and nose is implemented by means of random walks on the weighted graph. The graph has an 8-connected lattice structure and the weight value associated with each edge reflects the likelihood that a random walker will cross that edge. The random walks simulate an anisot-ropic diffusion process that filters out the noise while preserving the facial expres-sion pixels. The seeds for the segmentation are obtained from a color and motion detector. The segmented facial pixels are represented with linked lists in the origi-nal geometric form and grouped into different parts corresponding to facial com-ponents. For the convenience of implementing high-level vision, the geometric description of facial component pixels is further decomposed into shape and reg-istration information. Shape is defined as the geometric information that is invari-ant under the registration transformation, such as translation, rotation, and iso-tropic scale. Statistical shape analysis is carried out to capture global facial fea-tures where the Procrustes shape distance measure is adopted. A Bayesian ap-proach is used to incorporate high-level prior knowledge of face structure. Ex-perimental results show that the proposed method is capable of real-time extraction of precise geometric facial features from live video. The feature extraction is robust against the illumination changes, scale variation, head rotations, and hand inter-ference.

  5. Feature Centrality and Property Induction

    Science.gov (United States)

    Hadjichristidis, Constantinos; Sloman, Steven; Stevenson, Rosemary; Over, David

    2004-01-01

    A feature is central to a concept to the extent that other features depend on it. Four studies tested the hypothesis that people will project a feature from a base concept to a target concept to the extent that they believe the feature is central to the two concepts. This centrality hypothesis implies that feature projection is guided by a…

  6. Major depression with psychotic features

    Science.gov (United States)

    ... this page: //medlineplus.gov/ency/article/000933.htm Major depression with psychotic features To use the sharing features on this page, please enable JavaScript. Major depression with psychotic features is a mental disorder in ...

  7. CBFS: high performance feature selection algorithm based on feature clearness.

    Directory of Open Access Journals (Sweden)

    Minseok Seo

    Full Text Available BACKGROUND: The goal of feature selection is to select useful features and simultaneously exclude garbage features from a given dataset for classification purposes. This is expected to bring reduction of processing time and improvement of classification accuracy. METHODOLOGY: In this study, we devised a new feature selection algorithm (CBFS based on clearness of features. Feature clearness expresses separability among classes in a feature. Highly clear features contribute towards obtaining high classification accuracy. CScore is a measure to score clearness of each feature and is based on clustered samples to centroid of classes in a feature. We also suggest combining CBFS and other algorithms to improve classification accuracy. CONCLUSIONS/SIGNIFICANCE: From the experiment we confirm that CBFS is more excellent than up-to-date feature selection algorithms including FeaLect. CBFS can be applied to microarray gene selection, text categorization, and image classification.

  8. Features of Women's language

    Institute of Scientific and Technical Information of China (English)

    何延凌

    2008-01-01

    Language is a means of verbal communication.People use language to communicate with each other.In the society,no two speakers are exactly alike in the way of speaking.Some differences are due to age,gender,statue and personality. Above all,gender is one of the obvious reasons.The writer of this paper tries to describe the features of women's language from these perspectives: pronunciation,intonation,diction,subjects,grammar and discourse.From the discussion of the features of women's language,more attention should be paid to language use in social context.What's more,the linguistic phenomena in a speaking community can be understood more thoroughly.

  9. Imaging features of thalassemia

    Energy Technology Data Exchange (ETDEWEB)

    Tunaci, M.; Tunaci, A.; Engin, G.; Oezkorkmaz, B.; Acunas, G.; Acunas, B. [Dept. of Radiology, Istanbul Univ. (Turkey); Dincol, G. [Dept. of Internal Medicine, Istanbul Univ. (Turkey)

    1999-07-01

    Thalassemia is a kind of chronic, inherited, microcytic anemia characterized by defective hemoglobin synthesis and ineffective erythropoiesis. In all thalassemias clinical features that result from anemia, transfusional, and absorptive iron overload are similar but vary in severity. The radiographic features of {beta}-thalassemia are due in large part to marrow hyperplasia. Markedly expanded marrow space lead to various skeletal manifestations including spine, skull, facial bones, and ribs. Extramedullary hematopoiesis (ExmH), hemosiderosis, and cholelithiasis are among the non-skeletal manifestations of thalassemia. The skeletal X-ray findings show characteristics of chronic overactivity of the marrow. In this article both skeletal and non-skeletal manifestations of thalassemia are discussed with an overview of X-ray findings, including MRI and CT findings. (orig.)

  10. Features or tasks?

    DEFF Research Database (Denmark)

    Heilesen, Simon

    In this paper for the Workshop on Human-computer interaction and e-learning, NordiCHI 2002, the author argues that in developing innovative E-learning systems, especially if constructivist pedagogy is to be applied, it will be useful to model the user interface on the often complex tasks...... that the user has to perform rather than just focusing on technical features (and adapting system use to them)....

  11. Functions & Features of Idioms

    Institute of Scientific and Technical Information of China (English)

    周来纳

    2015-01-01

    Idioms, or conventionalized multiword expressions, often but not always non-literal, are hardly marginal in English, though they have been relatively neglected in lexical studies of the language. This neglect is especially evident in respect of the functions of idioms. The aim of this article, accordingly, is to account for the functions of idioms by analyzing what they do with the features of idioms.

  12. Model Checking Feature Interactions

    DEFF Research Database (Denmark)

    Le Guilly, Thibaut; Olsen, Petur; Pedersen, Thomas;

    2015-01-01

    This paper presents an offline approach to analyzing feature interactions in embedded systems. The approach consists of a systematic process to gather the necessary information about system components and their models. The model is first specified in terms of predicates, before being refined to t...... to timed automata. The consistency of the model is verified at different development stages, and the correct linkage between the predicates and their semantic model is checked. The approach is illustrated on a use case from home automation....

  13. Feature Engineering for Drug Name Recognition in Biomedical Texts: Feature Conjunction and Feature Selection

    Directory of Open Access Journals (Sweden)

    Shengyu Liu

    2015-01-01

    Full Text Available Drug name recognition (DNR is a critical step for drug information extraction. Machine learning-based methods have been widely used for DNR with various types of features such as part-of-speech, word shape, and dictionary feature. Features used in current machine learning-based methods are usually singleton features which may be due to explosive features and a large number of noisy features when singleton features are combined into conjunction features. However, singleton features that can only capture one linguistic characteristic of a word are not sufficient to describe the information for DNR when multiple characteristics should be considered. In this study, we explore feature conjunction and feature selection for DNR, which have never been reported. We intuitively select 8 types of singleton features and combine them into conjunction features in two ways. Then, Chi-square, mutual information, and information gain are used to mine effective features. Experimental results show that feature conjunction and feature selection can improve the performance of the DNR system with a moderate number of features and our DNR system significantly outperforms the best system in the DDIExtraction 2013 challenge.

  14. Feature engineering for drug name recognition in biomedical texts: feature conjunction and feature selection.

    Science.gov (United States)

    Liu, Shengyu; Tang, Buzhou; Chen, Qingcai; Wang, Xiaolong; Fan, Xiaoming

    2015-01-01

    Drug name recognition (DNR) is a critical step for drug information extraction. Machine learning-based methods have been widely used for DNR with various types of features such as part-of-speech, word shape, and dictionary feature. Features used in current machine learning-based methods are usually singleton features which may be due to explosive features and a large number of noisy features when singleton features are combined into conjunction features. However, singleton features that can only capture one linguistic characteristic of a word are not sufficient to describe the information for DNR when multiple characteristics should be considered. In this study, we explore feature conjunction and feature selection for DNR, which have never been reported. We intuitively select 8 types of singleton features and combine them into conjunction features in two ways. Then, Chi-square, mutual information, and information gain are used to mine effective features. Experimental results show that feature conjunction and feature selection can improve the performance of the DNR system with a moderate number of features and our DNR system significantly outperforms the best system in the DDIExtraction 2013 challenge.

  15. Abdominal tuberculosis: Imaging features

    Energy Technology Data Exchange (ETDEWEB)

    Pereira, Jose M. [Department of Radiology, Hospital de S. Joao, Porto (Portugal)]. E-mail: jmpjesus@yahoo.com; Madureira, Antonio J. [Department of Radiology, Hospital de S. Joao, Porto (Portugal); Vieira, Alberto [Department of Radiology, Hospital de S. Joao, Porto (Portugal); Ramos, Isabel [Department of Radiology, Hospital de S. Joao, Porto (Portugal)

    2005-08-01

    Radiological findings of abdominal tuberculosis can mimic those of many different diseases. A high level of suspicion is required, especially in high-risk population. In this article, we will describe barium studies, ultrasound (US) and computed tomography (CT) findings of abdominal tuberculosis (TB), with emphasis in the latest. We will illustrate CT findings that can help in the diagnosis of abdominal tuberculosis and describe imaging features that differentiate it from other inflammatory and neoplastic diseases, particularly lymphoma and Crohn's disease. As tuberculosis can affect any organ in the abdomen, emphasis is placed to ileocecal involvement, lymphadenopathy, peritonitis and solid organ disease (liver, spleen and pancreas). A positive culture or hystologic analysis of biopsy is still required in many patients for definitive diagnosis. Learning objectives:1.To review the relevant pathophysiology of abdominal tuberculosis. 2.Illustrate CT findings that can help in the diagnosis.

  16. Multispectral Image Feature Points

    Directory of Open Access Journals (Sweden)

    Cristhian Aguilera

    2012-09-01

    Full Text Available This paper presents a novel feature point descriptor for the multispectral image case: Far-Infrared and Visible Spectrum images. It allows matching interest points on images of the same scene but acquired in different spectral bands. Initially, points of interest are detected on both images through a SIFT-like based scale space representation. Then, these points are characterized using an Edge Oriented Histogram (EOH descriptor. Finally, points of interest from multispectral images are matched by finding nearest couples using the information from the descriptor. The provided experimental results and comparisons with similar methods show both the validity of the proposed approach as well as the improvements it offers with respect to the current state-of-the-art.

  17. European Nuclear Features

    Energy Technology Data Exchange (ETDEWEB)

    Barre, B.; Gonzalez, E.; Diaz Diaz, J.L.; Jimenez, J.L.; Velarde, G.; Navarro, J.M.; Hittner, D.; Dominguez, M.T.; Bollini, G.; Martin, A.; Suarez, J.; Traini, E.; Lang-Lenton, J.

    2004-09-01

    ''European Nuclear Features - ENF'' is a joint publication of the three specialized technical journals, Nuclear Espana (Spain), Revue General Nucleaire (France), and atw - International Journal of Nuclear Power (Germany). The ENF support the international Europeen exchange of information and news about energy and nuclear power. News items, comments, and scientific and technical contributions will cover important aspects of the field. The second issue of ENF contains contributions about theses topics, among others: Institutional and Political Changes in the EU. - CIEMAT Department of Nuclear Fission: A General Overview. - Inertial Fusion Energy at DENIM. - High Temperature Reactors. European Research Programme. - On Site Assistance to Khmelnitsky NPP 1 and 2 (Ukraine). - Dismantling and Decommissioning of Vandellos I. (orig.)

  18. Feature tracking and aging

    Directory of Open Access Journals (Sweden)

    Rémy eAllard

    2013-07-01

    Full Text Available There are conflicting results regarding the effect of aging on second-order motion processing (i.e., motion defined by attributes other than luminance, such as contrast. Two studies (Habak & Faubert, 2000; Tang & Zhou, 2009 found that second-order motion processing was more vulnerable to aging than first-order motion processing. Conversely, Billino, Braun, Bremmer and Gegenfurtner (2011 recently found that aging affected first- and second-order motion processing by similar proportions. These three studies used contrast-defined motion as a second-order stimulus, but there can be at least two potential issues when using such a stimulus to evaluate age-related sensitivity losses. First, it has been shown that the motion system processing contrast-defined motion varies depending on the stimulus parameters. Thus, although all these three studies assumed that their contrast-defined motion was processed by a low-level second-order motion system, this was not necessarily the case. The second potential issue is that contrast-defined motion consists in a contrast modulation of a texture rich in high spatial frequencies and aging mainly affects contrast sensitivity at high spatial frequencies. Consequently, some age-related sensitivity loss to second-order motion could be due to a lower sensitivity to the texture rather than to motion processing per se. To avoid these two potential issues, we used a second-order motion stimulus void of high spatial frequencies and which has been shown to be processed by a high-level feature tracking motion system, namely fractal rotation (Lagacé-Nadon, Allard, & Faubert, 2009. We found an age-related deficit on second-order motion processing at all temporal frequencies including the ones for which no age-related effect on first-order motion processing was observed. We conclude that aging affects the ability to track features. Previous age-related results on second-order and global motion processing are discussed in light

  19. Featured Image: Interacting Galaxies

    Science.gov (United States)

    Kohler, Susanna

    2017-06-01

    This beautiful image shows two galaxies, IC 2163 and NGC 2207, as they undergo a grazing collision 114 million light-years away. The image is composite, constructed from Hubble (blue), Spitzer (green), and ALMA (red) data. In a recent study, Debra Elmegreen (Vassar College) and collaborators used this ALMA data to trace the individual molecular clouds in the two interacting galaxies, identifying a total of over 200 clouds that each contain a mass of over a million solar masses. These clouds represent roughly half the molecular gas in the two galaxies total. Elmegreen and collaborators track the properties of these clouds and their relation to star-forming regions observed with Hubble. For more information about their observations, check out the paper linked below.A closer look at the ALMA observations for these galaxies, with the different emission regions labeled. Most of the molecular gas emission comes from the eyelids of IC 2163, and the nuclear ring and Feature i in NGC 2207. [Elmegreen et al. 2017]CitationDebra Meloy Elmegreen et al 2017 ApJ 841 43. doi:10.3847/1538-4357/aa6ba5

  20. Localized scleroderma: imaging features

    Energy Technology Data Exchange (ETDEWEB)

    Liu, P. (Dept. of Diagnostic Imaging, Hospital for Sick Children, Toronto, ON (Canada)); Uziel, Y. (Div. of Rheumatology, Hospital for Sick Children, Toronto, ON (Canada)); Chuang, S. (Dept. of Diagnostic Imaging, Hospital for Sick Children, Toronto, ON (Canada)); Silverman, E. (Div. of Rheumatology, Hospital for Sick Children, Toronto, ON (Canada)); Krafchik, B. (Div. of Dermatology, Dept. of Pediatrics, Hospital for Sick Children, Toronto, ON (Canada)); Laxer, R. (Div. of Rheumatology, Hospital for Sick Children, Toronto, ON (Canada))

    1994-06-01

    Localized scleroderma is distinct from the diffuse form of scleroderma and does not show Raynaud's phenomenon and visceral involvement. The imaging features in 23 patients ranging from 2 to 17 years of age (mean 11.1 years) were reviewed. Leg length discrepancy and muscle atrophy were the most common findings (five patients), with two patients also showing modelling deformity of the fibula. One patient with lower extremity involvement showed abnormal bone marrow signals on MR. Disabling joint contracture requiring orthopedic intervention was noted in one patient. In two patients with ''en coup de sabre'' facial deformity, CT and MR scans revealed intracranial calcifications and white matter abnormality in the ipsilateral frontal lobes, with one also showing migrational abnormality. In a third patient, CT revealed white matter abnormality in the ipsilateral parietal lobe. In one patient with progressive facial hemiatrophy, CT and MR scans showed the underlying hypoplastic left maxillary antrum and cheek. Imaging studies of areas of clinical concern revealed positive findings in half our patients. (orig.)

  1. Image feature localization by multiple hypothesis testing of Gabor features.

    Science.gov (United States)

    Ilonen, Jarmo; Kamarainen, Joni-Kristian; Paalanen, Pekka; Hamouz, Miroslav; Kittler, Josef; Kälviäinen, Heikki

    2008-03-01

    Several novel and particularly successful object and object category detection and recognition methods based on image features, local descriptions of object appearance, have recently been proposed. The methods are based on a localization of image features and a spatial constellation search over the localized features. The accuracy and reliability of the methods depend on the success of both tasks: image feature localization and spatial constellation model search. In this paper, we present an improved algorithm for image feature localization. The method is based on complex-valued multi resolution Gabor features and their ranking using multiple hypothesis testing. The algorithm provides very accurate local image features over arbitrary scale and rotation. We discuss in detail issues such as selection of filter parameters, confidence measure, and the magnitude versus complex representation, and show on a large test sample how these influence the performance. The versatility and accuracy of the method is demonstrated on two profoundly different challenging problems (faces and license plates).

  2. Finding phonological features in perception

    NARCIS (Netherlands)

    Chládková, K.

    2014-01-01

    This thesis investigated whether phonological features have perceptual bases. The search for features in perception was approached from several angles: from that of an adult listener who has a fully acquired language system in place, from that of a linguist who aims to uncover feature structures in

  3. Reconstructing NURBS Surface with Features

    Institute of Scientific and Technical Information of China (English)

    SUN Chunhua

    2006-01-01

    The method of reconstructing NURBS surface with features is proposed in this paper. Features including boundary curves and feature points are recognized from the scanned data. An initial surface is constructed with boundary curves. The desired NURBS is determined by modifying the initial surface to pass through feature points. Lagrange multiplier is used to find the solution. The error analysis is then done. Examples are given to verify the algorithm at last. The method can keep some features fixed and be widely used in CAD modeling.

  4. Geophysical Features - STRUCTURAL_FEATURES_IN: Structural Features of Indiana (Indiana Geological Survey, Line Shapefile)

    Data.gov (United States)

    NSGIC State | GIS Inventory — STRUCTURAL_FEATURES_IN is a line shapefile that shows the location of known structural features in Indiana; source data scales range from 1:12,000 to 1:500,000 (only...

  5. Confidence-Based Feature Acquisition

    Science.gov (United States)

    Wagstaff, Kiri L.; desJardins, Marie; MacGlashan, James

    2010-01-01

    Confidence-based Feature Acquisition (CFA) is a novel, supervised learning method for acquiring missing feature values when there is missing data at both training (learning) and test (deployment) time. To train a machine learning classifier, data is encoded with a series of input features describing each item. In some applications, the training data may have missing values for some of the features, which can be acquired at a given cost. A relevant JPL example is that of the Mars rover exploration in which the features are obtained from a variety of different instruments, with different power consumption and integration time costs. The challenge is to decide which features will lead to increased classification performance and are therefore worth acquiring (paying the cost). To solve this problem, CFA, which is made up of two algorithms (CFA-train and CFA-predict), has been designed to greedily minimize total acquisition cost (during training and testing) while aiming for a specific accuracy level (specified as a confidence threshold). With this method, it is assumed that there is a nonempty subset of features that are free; that is, every instance in the data set includes these features initially for zero cost. It is also assumed that the feature acquisition (FA) cost associated with each feature is known in advance, and that the FA cost for a given feature is the same for all instances. Finally, CFA requires that the base-level classifiers produce not only a classification, but also a confidence (or posterior probability).

  6. Complex Topographic Feature Ontology Patterns

    Science.gov (United States)

    Varanka, Dalia E.; Jerris, Thomas J.

    2015-01-01

    Semantic ontologies are examined as effective data models for the representation of complex topographic feature types. Complex feature types are viewed as integrated relations between basic features for a basic purpose. In the context of topographic science, such component assemblages are supported by resource systems and found on the local landscape. Ontologies are organized within six thematic modules of a domain ontology called Topography that includes within its sphere basic feature types, resource systems, and landscape types. Context is constructed not only as a spatial and temporal setting, but a setting also based on environmental processes. Types of spatial relations that exist between components include location, generative processes, and description. An example is offered in a complex feature type ‘mine.’ The identification and extraction of complex feature types are an area for future research.

  7. What Makes a Good Feature?

    Science.gov (United States)

    1992-04-01

    model to 3 RICHARDS & JEPSON WHAT MAKES A GOOD FEATURE? distinguish between good and bad features, and whether the world needs to satisfy this...A MASSACHUSETTS INSTITUTE OF TECHNOLOGY 0ARTIFICIAL INTELLIGENCE LABORATORY - and "-- CENTER FOR BIOLOGICAL INFORMATION PROCESSING Lfl • •C AI. Memo...No. 1356 April 1992 S C.B.I.P. Paper No. 72 D T IC OWhat Makes a Good Feature? ELECTESJAN 2 9 19931 W. Richards and A. Jepson S c i Abstract

  8. Novel Facial Features Segmentation Algorithm

    Institute of Scientific and Technical Information of China (English)

    2008-01-01

    An efficient algorithm for facial features extractions is proposed. The facial features we segment are the two eyes, nose and mouth. The algorithm is based on an improved Gabor wavelets edge detector, morphological approach to detect the face region and facial features regions, and an improved T-shape face mask to locate the extract location of facial features. The experimental results show that the proposed method is robust against facial expression, illumination, and can be also effective if the person wearing glasses, and so on.

  9. Emergent interfaces for feature modularization

    CERN Document Server

    Ribeiro, Márcio; Brabrand, Claus

    2014-01-01

    Developers frequently introduce errors into software systems when they fail to recognise module dependencies. Using forty-three software families and Software Product Lines (SPLs), where the majority are commonly used in industrial practice, the authors reports on the feature modularization problem and provides a study of how often it may occur in practice. To solve the problem they present the concept of emergent feature modularization which aims to establish contracts between features to prevent developers from breaking other features when performing a maintenance task.

  10. Les Traits acoustiques (Acoustic Features)

    Science.gov (United States)

    Rossi, Mario

    1977-01-01

    An analysis of the theory of distinctive features advanced by Roman Jakobson, Gunnar Fant and Morris Halle in "Preliminaries to Speech Analysis." The notion of binarism, the criterion of distinctiveness and the definition of features are discussed. Questions leading to further research are raised. (Text is in French.) (AMH)

  11. Feature extraction using fractal codes

    NARCIS (Netherlands)

    Schouten, Ben; Zeeuw, Paul M. de

    1999-01-01

    Fast and successful searching for an object in a multimedia database is a highly desirable functionality. Several approaches to content based retrieval for multimedia databases can be found in the literature [9,10,12,14,17]. The approach we consider is feature extraction. A feature can be seen as a

  12. Feature Extraction Using Fractal Codes

    NARCIS (Netherlands)

    Schouten, B.A.M.; Zeeuw, P.M. de

    1999-01-01

    Fast and successful searching for an object in a multimedia database is a highly desirable functionality. Several approaches to content based retrieval for multimedia databases can be found in the literature [9,10,12,14,17]. The approach we consider is feature extraction. A feature can be seen as a

  13. Pachyonychia congenita with unusual features.

    Science.gov (United States)

    Balasubramanian, S; Kaarthigeyan, K; Ramnath, B

    2009-10-01

    Pachyonychia congenita is a rare hereditary disorder characterized by gross thickening of all finger and toenails. We report an infant who had clinical features consistent with pachyonychia congenita type II, with unusual features of microcephaly, seizures, electroencephalogram abnormalities, failure to thrive, and heterochromia iridis.

  14. A Search Engine Features Comparison.

    Science.gov (United States)

    Vorndran, Gerald

    Until recently, the World Wide Web (WWW) public access search engines have not included many of the advanced commands, options, and features commonly available with the for-profit online database user interfaces, such as DIALOG. This study evaluates the features and characteristics common to both types of search interfaces, examines the Web search…

  15. Partial Epilepsy with Auditory Features

    Directory of Open Access Journals (Sweden)

    J Gordon Millichap

    2004-07-01

    Full Text Available The clinical characteristics of 53 sporadic (S cases of idiopathic partial epilepsy with auditory features (IPEAF were analyzed and compared to previously reported familial (F cases of autosomal dominant partial epilepsy with auditory features (ADPEAF in a study at the University of Bologna, Italy.

  16. The Nature of Design Features

    DEFF Research Database (Denmark)

    Andreasen, Mogens Myrup; Mortensen, Niels Henrik

    1997-01-01

    In this paper it is argued that the core of design features is design characteristics, i.e. the design attributes which define the design (the result from design work) and determine the behaviour. A definition of features as relationships between product design characteristics and life phase system...... characteristics is proposed....

  17. Les Traits acoustiques (Acoustic Features)

    Science.gov (United States)

    Rossi, Mario

    1977-01-01

    An analysis of the theory of distinctive features advanced by Roman Jakobson, Gunnar Fant and Morris Halle in "Preliminaries to Speech Analysis." The notion of binarism, the criterion of distinctiveness and the definition of features are discussed. Questions leading to further research are raised. (Text is in French.) (AMH)

  18. Enhanced feature integration in musicians

    DEFF Research Database (Denmark)

    Hansen, Niels Christian; Højlund, Andreas; Møller, Cecilie

    Distinguishing and integrating features of sensory input is essential to human survival and no less paramount in music perception and cognition. Yet, little is known about training-induced plasticity of neural mechanisms for auditory feature integration. This study aimed to contrast the two...

  19. Hopewell Furnace NHS Small Scale Features (Linear Features)

    Data.gov (United States)

    National Park Service, Department of the Interior — This shapefile represents the linear small scale features found at Hopewell Furnace National Historic Site based on the Cultural Landscape Report completed in...

  20. Language Features and Culture Features on Short Message

    Institute of Scientific and Technical Information of China (English)

    王佳

    2013-01-01

    Mobile phone is regarded as“the fifth media”after newspaper,radio,TV and the Internet.The mobile phone short message further highlights the importance of written signs in communication.“The thumb revolution”is eagerly anticipating one kind of trend by the hand replace of mouth,sound substitute for the quiet around us. My paper will analyze the language features and the culture features of mobile phone short messages which are written in Chinese and English.

  1. Glacial Features (Point) - Quad 169 (NEWMARKET, NH)

    Data.gov (United States)

    University of New Hampshire — The Glacial Features (Point) layer describes point features associated with surficial geology. These glacial features include, but are not limited to, delta forsets,...

  2. Glacial Features (Point) - Quad 184 (KINGSTON, NH)

    Data.gov (United States)

    University of New Hampshire — The Glacial Features (Point) layer describes point features associated with surficial geology. These glacial features include, but are not limited to, delta forsets,...

  3. Glacial Features (Point) - Quad 168 (EPPING, NH)

    Data.gov (United States)

    University of New Hampshire — The Glacial Features (Point) layer describes point features associated with surficial geology. These glacial features include, but are not limited to, delta forsets,...

  4. Glacial Features (Point) - Quad 154 (BARRINGTON, NH)

    Data.gov (United States)

    University of New Hampshire — The Glacial Features (Point) layer describes point features associated with surficial geology. These glacial features include, but are not limited to, delta forsets,...

  5. Glacial Features (Point) - Quad 166 (CANDIA, NH)

    Data.gov (United States)

    University of New Hampshire — The Glacial Features (Point) layer describes point features associated with surficial geology. These glacial features include, but are not limited to, delta forsets,...

  6. Hong Kong English: phonological features

    Directory of Open Access Journals (Sweden)

    Irina-Ana Drobot

    2008-01-01

    Full Text Available The aim of the paper is to present phonological features of Hong Kong English, which is a variety of New English. I examine features of the sound system (vowel and consonantal systems, characteristics of stress, rhythm, intonation, and phonological processes of the English spoken by Hongkongers. The way in which the accent and characteristics of the Hong Kong variety of English differs from standard, RP English is pointed out. Influences of Chinese and Cantonese on the phonological features of Hong Kong English are noticeable

  7. Youth job market specific features

    Directory of Open Access Journals (Sweden)

    Evgeniya Yu. Zhuravleva

    2011-05-01

    Full Text Available The article considers youth job market peculiarities, its specific features and regulation means, determines theoretical and application tasks of qualitative and quantitative comparison of vocations, which are highly in demand at the job market.

  8. Feature conversion for concurrent engineering

    NARCIS (Netherlands)

    De Kraker, J.K.

    1998-01-01

    Feature conversion for concurrent engineering integrates two modern product development paradigms. Concurrent engineering is a product development paradigm in which multiple engineering disciplines participate. It optimizes a product with respect to available resources and product quality, for which

  9. Solar Features - Prominences and Filaments

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Prominences and filaments are two manifestations of the same phenomenon. Both prominences and filaments are features formed above the chromosphere by cool dense...

  10. Feature-Weighted Linear Stacking

    CERN Document Server

    Sill, Joseph; Mackey, Lester; Lin, David

    2009-01-01

    Ensemble methods, such as stacking, are designed to boost predictive accuracy by blending the predictions of multiple machine learning models. Recent work has shown that the use of meta-features, additional inputs describing each example in a dataset, can boost the performance of ensemble methods, but the greatest reported gains have come from nonlinear procedures requiring significant tuning and training time. Here, we present a linear technique, Feature-Weighted Linear Stacking (FWLS), that incorporates meta-features for improved accuracy while retaining the well-known virtues of linear regression regarding speed, stability, and interpretability. FWLS combines model predictions linearly using coefficients that are themselves linear functions of meta-features. This technique was a key facet of the solution of the second place team in the recently concluded Netflix Prize competition. Significant increases in accuracy over standard linear stacking is demonstrated on the Netflix Prize collaborative filtering da...

  11. Emotion Recognition using Speech Features

    CERN Document Server

    Rao, K Sreenivasa

    2013-01-01

    “Emotion Recognition Using Speech Features” covers emotion-specific features present in speech and discussion of suitable models for capturing emotion-specific information for distinguishing different emotions.  The content of this book is important for designing and developing  natural and sophisticated speech systems. Drs. Rao and Koolagudi lead a discussion of how emotion-specific information is embedded in speech and how to acquire emotion-specific knowledge using appropriate statistical models. Additionally, the authors provide information about using evidence derived from various features and models. The acquired emotion-specific knowledge is useful for synthesizing emotions. Discussion includes global and local prosodic features at syllable, word and phrase levels, helpful for capturing emotion-discriminative information; use of complementary evidences obtained from excitation sources, vocal tract systems and prosodic features in order to enhance the emotion recognition performance;  and pro...

  12. Features of Medical English Vocabulary

    Institute of Scientific and Technical Information of China (English)

    刘翠萍

    2015-01-01

    Medical English is relatively more difficult than general English,especially its vocabulary.Those medical English words are long and complex,making it hard to remember.But medical English vocabulary has its own features,which would help us in learning vocabulary.On the basis of many medical English materials,the paper explores the features of etymology,affixes and roots of medical English.

  13. Features of Medical English Vocabulary

    Institute of Scientific and Technical Information of China (English)

    刘翠萍

    2015-01-01

    Medical English is relatively more difficult than general English,especially its vocabulary.Those medical English words are long and complex,making it hard to remember. But medical English vocabulary has its own features,which would help us in learning vocabulary.On the basis of many medical English materials,the paper explores the features of etymology,affixes and roots of medical English.

  14. Feature Selection: Algorithms and Challenges

    Institute of Scientific and Technical Information of China (English)

    Xindong Wu; Yanglan Gan; Hao Wang; Xuegang Hu

    2006-01-01

    Feature selection is an active area in data mining research and development. It consists of efforts and contributions from a wide variety of communities, including statistics, machine learning, and pattern recognition. The diversity, on one hand, equips us with many methods and tools. On the other hand, the profusion of options causes confusion. This paper reviews various feature selection methods and identifies research challenges that are at the forefront of this exciting area.

  15. Feature Recognition for Virtual Machining

    OpenAIRE

    Xú, Shixin; Anwer, Nabil; Qiao, Lihong

    2014-01-01

    International audience; Virtual machining uses software tools to simulate machining processes in virtual environments ahead of actual production. This paper proposes that feature recognition techniques can be applied in the course of virtual machining, such as identifying some process problems, and presenting corresponding correcting advices. By comparing with the original CAD model, form errors of the machining features can be found. And then corrections are suggested to process designers. T...

  16. Features of English News Headlines

    Institute of Scientific and Technical Information of China (English)

    尚菲菲

    2013-01-01

    Nowadays Chinese people are attaching great importance to English news that not only offers worldwide information but gives a hand to English learners with their improvement in English. As is called the eyes of English news, headlines are partic-ularly important. Generally speaking, English news headlines are precise, brief and as attractive as possible. They have their own grammar features and vocabulary features while different devices are employed to make them expressive and striking.

  17. Search features of digital libraries

    Directory of Open Access Journals (Sweden)

    Alastair G. Smith

    2000-01-01

    Full Text Available Traditional on-line search services such as Dialog, DataStar and Lexis provide a wide range of search features (boolean and proximity operators, truncation, etc. This paper discusses the use of these features for effective searching, and argues that these features are required, regardless of advances in search engine technology. The literature on on-line searching is reviewed, identifying features that searchers find desirable for effective searching. A selective survey of current digital libraries available on the Web was undertaken, identifying which search features are present. The survey indicates that current digital libraries do not implement a wide range of search features. For instance: under half of the examples included controlled vocabulary, under half had proximity searching, only one enabled browsing of term indexes, and none of the digital libraries enable searchers to refine an initial search. Suggestions are made for enhancing the search effectiveness of digital libraries, for instance by: providing a full range of search operators, enabling browsing of search terms, enhancement of records with controlled vocabulary, enabling the refining of initial searches, etc.

  18. Solar Feature Catalogues In Egso

    Science.gov (United States)

    Zharkova, V. V.; Aboudarham, J.; Zharkov, S.; Ipson, S. S.; Benkhalil, A. K.; Fuller, N.

    2005-05-01

    The Solar Feature Catalogues (SFCs) are created from digitized solar images using automated pattern recognition techniques developed in the European Grid of Solar Observation (EGSO) project. The techniques were applied for detection of sunspots, active regions and filaments in the automatically standardized full-disk solar images in Caii K1, Caii K3 and Hα taken at the Meudon Observatory and white-light images and magnetograms from SOHO/MDI. The results of automated recognition are verified with the manual synoptic maps and available statistical data from other observatories that revealed high detection accuracy. A structured database of the Solar Feature Catalogues is built on the MySQL server for every feature from their recognized parameters and cross-referenced to the original observations. The SFCs are published on the Bradford University web site http://www.cyber.brad.ac.uk/egso/SFC/ with the pre-designed web pages for a search by time, size and location. The SFCs with 9 year coverage (1996 2004) provide any possible information that can be extracted from full disk digital solar images. Thus information can be used for deeper investigation of the feature origin and association with other features for their automated classification and solar activity forecast.

  19. Tone features in whispered Chinese

    Institute of Scientific and Technical Information of China (English)

    LI Xueli; XU Boling

    2005-01-01

    Study on the whispered tone is important to speech recognition and conversion in whispered Chinese. In this paper, the characteristics of whispered speech are introduced and the tone features in whispered Chinese are discussed. There is no fundamental frequency in the whispered speech, so other features, such as the amplitude envelope, duration, glottal area, lip area, forrnant, and vocal tract length, are extracted and their contributions to the automatic tone recognition are compared. From the experiments with six simple Chinese whispered vowels in four tones, it is proved that loudness-weighted 32 Mel-frequency bands log-amplitude envelopes and duration can be used as the main tone features in the whispered Chinese tone recognition. The average tone recognition rate approaches that of the human perception level.

  20. Tracking facial features with occlusions

    Institute of Scientific and Technical Information of China (English)

    MARKIN Evgeny; PRAKASH Edmond C.

    2006-01-01

    Facial expression recognition consists of determining what kind of emotional content is presented in a human face.The problem presents a complex area for exploration, since it encompasses face acquisition, facial feature tracking, facial expression classification. Facial feature tracking is of the most interest. Active Appearance Model (AAM) enables accurate tracking of facial features in real-time, but lacks occlusions and self-occlusions. In this paper we propose a solution to improve the accuracy of fitting technique. The idea is to include occluded images into AAM training data. We demonstrate the results by running ex periments using gradient descent algorithm for fitting the AAM. Our experiments show that using fitting algorithm with occluded training data improves the fitting quality of the algorithm.

  1. Primordial features and Planck polarization

    Science.gov (United States)

    Hazra, Dhiraj Kumar; Shafieloo, Arman; Smoot, George F.; Starobinsky, Alexei A.

    2016-09-01

    With the Planck 2015 Cosmic Microwave Background (CMB) temperature and polarization data, we search for possible features in the primordial power spectrum (PPS). We revisit the Wiggly Whipped Inflation (WWI) framework and demonstrate how generation of some particular primordial features can improve the fit to Planck data. WWI potential allows the scalar field to transit from a steeper potential to a nearly flat potential through a discontinuity either in potential or in its derivatives. WWI offers the inflaton potential parametrizations that generate a wide variety of features in the primordial power spectra incorporating most of the localized and non-local inflationary features that are obtained upon reconstruction from temperature and polarization angular power spectrum. At the same time, in a single framework it allows us to have a background parameter estimation with a nearly free-form primordial spectrum. Using Planck 2015 data, we constrain the primordial features in the context of Wiggly Whipped Inflation and present the features that are supported both by temperature and polarization. WWI model provides more than 13 improvement in χ2 fit to the data with respect to the best fit power law model considering combined temperature and polarization data from Planck and B-mode polarization data from BICEP and Planck dust map. We use 2-4 extra parameters in the WWI model compared to the featureless strict slow roll inflaton potential. We find that the differences between the temperature and polarization data in constraining background cosmological parameters such as baryon density, cold dark matter density are reduced to a good extent if we use primordial power spectra from WWI. We also discuss the extent of bispectra obtained from the best potentials in arbitrary triangular configurations using the BI-spectra and Non-Gaussianity Operator (BINGO).

  2. Linguistic Features of English Advertisement

    Institute of Scientific and Technical Information of China (English)

    侯志荣

    2008-01-01

    Along with the rapid development of global economy,numerous colorful and fantastic English advertisements appear in Current markets.Through careful analysis we can find that English advertisements have formed their own linguistic features.The designers usually employ the special lexis,syntax and rhetorical devices to make their advertisement a concise,lively and appealing one.This paper analyzes the linguistic features of English advertisement.from which it gets some inspirations for C-E advertisement translation(translation of Chinese advertisement into English).

  3. Mucormycosis in India: unique features.

    Science.gov (United States)

    Chakrabarti, Arunaloke; Singh, Rachna

    2014-12-01

    Mucormycosis remains a devastating invasive fungal infection, with high mortality rates even after active management. The disease is being reported at an alarming frequency over the past decades from India. Indian mucormycosis has certain unique features. Rhino-orbito-cerebral presentation associated with uncontrolled diabetes is the predominant characteristic. Isolated renal mucormycosis has emerged as a new clinical entity. Apophysomyces elegans and Rhizopus homothallicus are emerging species in this region and uncommon agents such as Mucor irregularis and Thamnostylum lucknowense are also being reported. This review focuses on these distinct features of mucormycosis observed in India.

  4. Feature Selection in Scientific Applications

    Energy Technology Data Exchange (ETDEWEB)

    Cantu-Paz, E; Newsam, S; Kamath, C

    2004-02-27

    Numerous applications of data mining to scientific data involve the induction of a classification model. In many cases, the collection of data is not performed with this task in mind, and therefore, the data might contain irrelevant or redundant features that affect negatively the accuracy of the induction algorithms. The size and dimensionality of typical scientific data make it difficult to use any available domain information to identify features that discriminate between the classes of interest. Similarly, exploratory data analysis techniques have limitations on the amount and dimensionality of the data that can be effectively processed. In this paper, we describe applications of efficient feature selection methods to data sets from astronomy, plasma physics, and remote sensing. We use variations of recently proposed filter methods as well as traditional wrapper approaches where practical. We discuss the importance of these applications, the general challenges of feature selection in scientific datasets, the strategies for success that were common among our diverse applications, and the lessons learned in solving these problems.

  5. Primordial features and Planck polarization

    CERN Document Server

    Hazra, Dhiraj Kumar; Smoot, George F; Starobinsky, Alexei A

    2016-01-01

    With the Planck 2015 Cosmic Microwave Background (CMB) temperature and polarization data, we examine possibility of having features in the primordial power spectrum (PPS). We revisit the Wiggly Whipped Inflation (WWI) framework and demonstrate how generation of some particular primordial features can improve the fit to Planck data. WWI potential allows the scalar field to transit from a steeper potential to a nearly flat potential through a discontinuity either in potential or in its derivatives. Using Planck 2015 data, we constrain the primordial features in the context of Wiggly Whipped Inflation and present the features that are supported both by temperature and polarization. WWI model provides upto $\\sim12-14$ improvement in $\\chi^2$ fit to the data with respect to the best fit power law model considering combined temperature and polarization data from Planck and B-mode polarization data from BICEP and Planck dust map. We use 2-4 extra parameters in the WWI model compared to the featureless strict slow ro...

  6. Feature Sets for Screenshot Detection

    Science.gov (United States)

    2013-06-01

    Python Imaging Library [35] and OpenCV [25] provided image processing and feature ex- traction capabilities, NumPy [36] was used for general numeric...www.pythonware.com/products/pil/ [36] NumPy . (2013, Apr.) Scientific computer tools for python - numpy ). [Online]. Available: http://www.numpy.org/ [37] T. Curk, J

  7. The Features of Multimedia Teaching

    Institute of Scientific and Technical Information of China (English)

    DuYaomei

    2004-01-01

    The first feature of a multimedia teaching system lies in that it has to incorporate into its own the synchronic teaching vs. the diachronic teaching in different time "zones". The priority of such multimedia approach is that the learner can arrange and control their own time and energy and the whole teaching schedule in close accordance with their own actual situations and interests.

  8. Feature-level domain adaptation

    DEFF Research Database (Denmark)

    Kouw, Wouter M.; Van Der Maaten, Laurens J P; Krijthe, Jesse H.

    2016-01-01

    Domain adaptation is the supervised learning setting in which the training and test data are sampled from different distributions: training data is sampled from a source domain, whilst test data is sampled from a target domain. This paper proposes and studies an approach, called feature...

  9. Feature Referenced Error Correction Apparatus.

    Science.gov (United States)

    A feature referenced error correction apparatus utilizing the multiple images of the interstage level image format to compensate for positional...images and by the generation of an error correction signal in response to the sub-frame registration errors. (Author)

  10. Language Features of Contractual English

    Institute of Scientific and Technical Information of China (English)

    HUANG Jie-ting; WANG Zhen-ping

    2005-01-01

    As contract is a written document in which what the parties are concerned and agree is stated, the simplest way to understand the drafting of the contract is, from the author's point of view, to be well acquainted with contractual language. Therefore, this article is intended to give a brief account of the language features of contractual English.

  11. Special Features in Children's Conversations.

    Science.gov (United States)

    Karjalainen, Merja

    In a study of features that seem to be typical of children's conversations, 10 Finnish preschool children's conversations were videotaped and audiotaped over a period of 10 hours. The children were taped in conversation, play, fairy tale, and eating situations. Among the findings are that all children enjoy playing with language, but some initiate…

  12. Feature Selection and Effective Classifiers.

    Science.gov (United States)

    Deogun, Jitender S.; Choubey, Suresh K.; Raghavan, Vijay V.; Sever, Hayri

    1998-01-01

    Develops and analyzes four algorithms for feature selection in the context of rough set methodology. Experimental results confirm the expected relationship between the time complexity of these algorithms and the classification accuracy of the resulting upper classifiers. When compared, results of upper classifiers perform better than lower…

  13. Goldenhar syndrome with unusual features

    Directory of Open Access Journals (Sweden)

    Mehta Bijal

    2008-01-01

    Full Text Available We report here the case of a 17 year-old girl with the classic signs of Goldenhar syndrome in the form of multiple accessory tragi, bilateral ocular dermoids, mandibular hypoplasia (micrognathia and cervical lordosis. She also had a high arched palate, gingival hypertrophy and malaligned teeth, features which are as yet unreported.

  14. Some design features, non-features, and ex-non-features of the Cornell microkelvin cryostat

    Science.gov (United States)

    Smith, E. N.

    1989-10-01

    Cryostats intended for very low temperature use must meet very stringent demands in the areas of vibrational isolation, electrical isolation, and reliable thermometry. The efforts which have been made in these areas during the construction of the new microkelvin cryostat at Cornell have met with varying success. In this paper will be described both a number of our ideas which we feel have worked well (features, in the jargon of the American advertising industry), some which seemed like good ideas at the time, but which should not be repeated elsewhere (non-features, by logical extension). Also corrections to some of the less successful approaches will be discussed, which have lead to the production of some ex-non-features.

  15. FEATURES OF STUDENT PSYCHOLOGICAL COUNSELLING

    Directory of Open Access Journals (Sweden)

    Maria Dorina PASCA

    2013-10-01

    Full Text Available Student psychological counseling is one of the means to acknowledge student identity by employing counseling tools that allow the psychologist to make use of a set of skills essential in achieving envisaged outcomes. To act as counseling psychologist for students is to guide actions by the five wh- questions: who (the client is, why (the counselor is approached, who (the counselor talks to, what (problem the student has to tackle, how (the problem can be solved. Some of the most important features that contribute to solving student problems are the counselor’s deontology, trustworthiness and attitude that are to be relied on without impeding the client’s personality traits. Thus, developing awareness of the features underlying student psychological counseling and acting accordingly is the real test for any professional in the field. Therefore, the real challenge is not being in the lion’s den, but living with it.

  16. Component Composition Using Feature Models

    DEFF Research Database (Denmark)

    Eichberg, Michael; Klose, Karl; Mitschke, Ralf;

    2010-01-01

    In general, components provide and require services and two components are bound if the first component provides a service required by the second component. However, certain variability in services - w.r.t. how and which functionality is provided or required - cannot be described using standard...... interface description languages. If this variability is relevant when selecting a matching component then human interaction is required to decide which components can be bound. We propose to use feature models for making this variability explicit and (re-)enabling automatic component binding. In our...... approach, feature models are one part of service specifications. This enables to declaratively specify which service variant is provided by a component. By referring to a service's variation points, a component that requires a specific service can list the requirements on the desired variant. Using...

  17. Features Based Text Similarity Detection

    CERN Document Server

    Kent, Chow Kok

    2010-01-01

    As the Internet help us cross cultural border by providing different information, plagiarism issue is bound to arise. As a result, plagiarism detection becomes more demanding in overcoming this issue. Different plagiarism detection tools have been developed based on various detection techniques. Nowadays, fingerprint matching technique plays an important role in those detection tools. However, in handling some large content articles, there are some weaknesses in fingerprint matching technique especially in space and time consumption issue. In this paper, we propose a new approach to detect plagiarism which integrates the use of fingerprint matching technique with four key features to assist in the detection process. These proposed features are capable to choose the main point or key sentence in the articles to be compared. Those selected sentence will be undergo the fingerprint matching process in order to detect the similarity between the sentences. Hence, time and space usage for the comparison process is r...

  18. Computed tomographic features of esthesioneuroblastoma

    Energy Technology Data Exchange (ETDEWEB)

    Hurst, R.W.; Erickson, S.; Cail, W.S.; Burke, J.; Newman, S.A.; Levine, P.A.; Cantrell, R.W.

    1989-07-01

    Esthesioneuroblastomas are uncommon neoplasms of the superior nasal cavity originating from olfactory epithelium. High resolution CT features of this neoplasm have not been well studied. Nine cases of esthesioneuroblastoma were reviewed to evaluate findings on high resolution CT. Homogeneous soft tissue masses with relatively uniform enhancement centered in the superior nasal cavity are characteristic. Bony erosion is frequent and usually accompanied by molding of bone. Staging, determined by extension and critical for treatment decisions, is well evaluated by CT. (orig.).

  19. Integrated reporting and board features

    OpenAIRE

    Rares HURGHIS

    2017-01-01

    In the last two decades the concept of sustainability reporting gained more importance in the companies’ annual reports, a trend which is embedded also in integrated reporting. Issuing an integrated report became a necessity, because the report explains to the investors how the organization creates value over time. The governance structure, more exactly the board of directors, decides whether or not the company will issue an integrated report. Thus, are there certain features of the board tha...

  20. Manipulating scattering features by metamaterials

    Directory of Open Access Journals (Sweden)

    Lu Cui

    2016-01-01

    Full Text Available We present a review on manipulations of electromagnetic scattering features by using metamaterials or metasurfaces. Several approaches in controlling the scattered fields of objects are presented, including invisibility cloaks and radar illusions based on transformation optics, carpet cloak using gradient metamaterials, dc cloaks, mantle cloaks based on scattering cancellation, “skin” cloaks using phase compensation, scattering controls with coding/programmable metasurfaces, and scattering reductions by multilayered structures. Finally, the future development of metamaterials on scattering manipulation is predicted.

  1. Manipulating scattering features by metamaterials

    Directory of Open Access Journals (Sweden)

    Lu Cui

    2016-01-01

    Full Text Available We present a review on manipulations of electromagnetic scattering features by using metamaterials or metasurfaces. Several approaches in controlling the scattered fields of objects are presented, including invisibility cloaks and radar illusions based on transformation optics, carpet cloak using gradient metamaterials, dc cloaks, mantle cloaks based on scattering cancellation, “skin” cloaks using phase compensation, scattering controls with coding/programmable metasurfaces, and scattering reductions by multilayered structures. Finally, the future development of metamaterials on scattering manipulation is predicted.

  2. Feature extraction for speaker diarization

    OpenAIRE

    Negre Rabassa, Enric

    2016-01-01

    Se explorarán y compararán diferentes características de bajo y alto nivel para la diarización automática de locutores Feature extraction for speaker diarization using different databases Extracción de características para la diarización de locutores utilizando diferentes bases de datos Extracció de caracteristiques per a la diarització de locutors utilitzant diferents bases de dades

  3. Rosacea: clinical features and treatment.

    Science.gov (United States)

    Lavers, Isabel

    2016-03-30

    Rosacea is a chronic inflammatory skin condition that predominantly affects the central face. It is characterised by a variable range of symptoms, including erythema, telangiectasia, papules, pustules and changes in skin texture. Rosacea may be transient, recurrent or persistent. Because it affects the most visible part of the body, the psychosocial effects of this condition can be significant. This article describes the features and management of the condition.

  4. Imaging features of aggressive angiomyxoma

    Energy Technology Data Exchange (ETDEWEB)

    Jeyadevan, N.N.; Sohaib, S.A.A.; Thomas, J.M.; Jeyarajah, A.; Shepherd, J.H.; Fisher, C

    2003-02-01

    AIM: To describe the imaging features of aggressive angiomyxoma in a rare benign mesenchymal tumour most frequently arising from the perineum in young female patients. MATERIALS AND METHODS: We reviewed the computed tomography (CT) and magnetic resonance (MR) imaging features of patients with aggressive angiomyxoma who were referred to our hospital. The imaging features were correlated with clinical information and pathology in all patients. RESULTS: Four CT and five MR studies were available for five patients (all women, mean age 39, range 24-55). Three patients had recurrent tumour at follow-up. CT and MR imaging demonstrated a well-defined mass-displacing adjacent structures. The tumour was of low attenuation relative to muscle on CT. On MR, the tumour was isointense relative to muscle on T1-weighted image, hyperintense on T2-weighted image and enhanced avidly after gadolinium contrast with a characteristic 'swirled' internal pattern. MR imaging demonstrates the extent of the tumour and its relation to the pelvic floor. Recurrent tumour has a similar appearance to the primary lesion. CONCLUSION: The MR appearances of aggressive angiomyxomas are characteristic, and the diagnosis should be considered in any young woman presenting with a well-defined mass arising from the perineum. Jeyadevan, N. N. etal. (2003). Clinical Radiology58, 157--162.

  5. Temporal feature integration for music genre classification

    OpenAIRE

    Meng, Anders; Ahrendt, Peter; Larsen, Jan; Hansen, Lars Kai

    2007-01-01

    Temporal feature integration is the process of combining all the feature vectors in a time window into a single feature vector in order to capture the relevant temporal information in the window. The mean and variance along the temporal dimension are often used for temporal feature integration, but they capture neither the temporal dynamics nor dependencies among the individual feature dimensions. Here, a multivariate autoregressive feature model is proposed to solve this problem for music ge...

  6. Temporal Feature Integration for Music Organisation

    OpenAIRE

    Meng, Anders; Larsen, Jan; Hansen, Lars Kai

    2006-01-01

    This Ph.D. thesis focuses on temporal feature integration for music organisation. Temporal feature integration is the process of combining all the feature vectors of a given time-frame into a single new feature vector in order to capture relevant information in the frame. Several existing methods for handling sequences of features are formulated in the temporal feature integration framework. Two datasets for music genre classification have been considered as valid test-beds for music organisa...

  7. Feature dimensionality reduction for myoelectric pattern recognition: a comparison study of feature selection and feature projection methods.

    Science.gov (United States)

    Liu, Jie

    2014-12-01

    This study investigates the effect of the feature dimensionality reduction strategies on the classification of surface electromyography (EMG) signals toward developing a practical myoelectric control system. Two dimensionality reduction strategies, feature selection and feature projection, were tested on both EMG feature sets, respectively. A feature selection based myoelectric pattern recognition system was introduced to select the features by eliminating the redundant features of EMG recordings instead of directly choosing a subset of EMG channels. The Markov random field (MRF) method and a forward orthogonal search algorithm were employed to evaluate the contribution of each individual feature to the classification, respectively. Our results from 15 healthy subjects indicate that, with a feature selection analysis, independent of the type of feature set, across all subjects high overall accuracies can be achieved in classification of seven different forearm motions with a small number of top ranked original EMG features obtained from the forearm muscles (average overall classification accuracy >95% with 12 selected EMG features). Compared to various feature dimensionality reduction techniques in myoelectric pattern recognition, the proposed filter-based feature selection approach is independent of the type of classification algorithms and features, which can effectively reduce the redundant information not only across different channels, but also cross different features in the same channel. This may enable robust EMG feature dimensionality reduction without needing to change ongoing, practical use of classification algorithms, an important step toward clinical utility.

  8. Radiological Features and Postoperative Histopathologic Diagnosis ...

    African Journals Online (AJOL)

    Radiological Features and Postoperative Histopathologic Diagnosis of Intracranial Masses at Tikur Anbessa ... East and Central African Journal of Surgery ... features and postoperative histopathology diagnosis of intracranial mass lesions.

  9. Linguistic Features of English Advertisements

    Institute of Scientific and Technical Information of China (English)

    于永丽; 朱丽萍

    2008-01-01

    Ad, being a manifestation of language in action, is a widely used medium of communication in modem society. After China's entry into WTO, a lot of English ads come into the domestic market, and at the same time, we should create a lot of English ads for our products marching towards the world market. With some ads appearing in English magazines as examples, this paper aims to discuss the lexical features, and the figures of speech used in advertisement. It aims at providing information on creating and appreciating English ads.

  10. Language Features of Advertising English

    Institute of Scientific and Technical Information of China (English)

    郑笑怡

    2007-01-01

    1 .Advertising English We live in a world of advertisements. Everyday hundreds of thousands advertisement make an impact on our lives. They imply information of products and services through various media, on the other hand, they play a fundamental and unparalleled role in affecting people's customs, habits, cultural and esthetical values. It's magical power lies between lines. Advertising is a special literary form, it has become an important means of communicating ideas, demonstrating a variety of linguistic features of its own. So, advertising language, playing a role of communication

  11. SELECTED FEATURES OF POLISH FARMERS

    Directory of Open Access Journals (Sweden)

    Grzegorz Spychalski

    2013-12-01

    Full Text Available The paper presents results of the research carried out among farm owners in Wielkopolskie voivodeship referring to selected features of social capital. The author identifies and estimates impact of some socio-professional factors on social capital quality and derives statistical conclusion. As a result there is a list of economic policy measures facilitating rural areas development in this aspect. The level of education, civic activity and tendency for collective activity are main conditions of social capital quality in Polish rural areas.

  12. THE FEATURE SUBSET SELECTION ALGORITHM

    Institute of Scientific and Technical Information of China (English)

    LiuYongguo; LiXueming; 等

    2003-01-01

    The motivation of data mining is how to extract effective information from huge data in very large database.However,some redundant irrelevant attributes,which result in low performance and high computing complexity,are included in the very large database in general.So,Feature Selection(FSS)becomes one important issue in the field of data mining.In this letter,an Fss model based on the filter approach is built,which uses the simulated annealing gentic algorithm.Experimental results show that convergence and stability of this algorithm are adequately achieved.

  13. THE FEATURE SUBSET SELECTION ALGORITHM

    Institute of Scientific and Technical Information of China (English)

    Liu Yongguo; Li Xueming; Wu Zhongfu

    2003-01-01

    The motivation of data mining is how to extract effective information from huge data in very large database. However, some redundant and irrelevant attributes, which result in low performance and high computing complexity, are included in the very large database in general.So, Feature Subset Selection (FSS) becomes one important issue in the field of data mining. In this letter, an FSS model based on the filter approach is built, which uses the simulated annealing genetic algorithm. Experimental results show that convergence and stability of this algorithm are adequately achieved.

  14. Java 7 New Features Cookbook

    CERN Document Server

    Reese, Richard M

    2012-01-01

    Each recipe comprises step-by-step instructions followed by an analysis of what was done in each task and other useful information. The book is designed so that you can read it chapter by chapter, or look at the list of recipes and refer to them in no particular order. Each example comes with its expected output to make your learning even easier. This book is designed to bring those who are familiar with Java up-to-speed on the new features found in Java 7.

  15. New approach to spectral features modeling

    NARCIS (Netherlands)

    Brug, H. van; Scalia, P.S.

    2012-01-01

    The origin of spectral features, speckle effects, is explained, followed by a discussion on many aspects of spectral features generation. The next part gives an overview of means to limit the amplitude of the spectral features. This paper gives a discussion of all means to reduce the spectral featur

  16. Integrated reporting and board features

    Directory of Open Access Journals (Sweden)

    Rares HURGHIS

    2017-02-01

    Full Text Available In the last two decades the concept of sustainability reporting gained more importance in the companies’ annual reports, a trend which is embedded also in integrated reporting. Issuing an integrated report became a necessity, because the report explains to the investors how the organization creates value over time. The governance structure, more exactly the board of directors, decides whether or not the company will issue an integrated report. Thus, are there certain features of the board that might influence the issue of an integrated report? Do the companies which issue an integrated report have certain features of the governance structure? Looking for an answer to these questions, we seek for any possible correlations between a disclosure index and the corporate governance structure characteristics, on a sample from the companies participating at the International Integrated Reporting Council Examples Database. The results highlight that only the size of the board influences the extent to which the issued integrated report is in accordance with the International Framework.

  17. Radiologic features of granulomatous mastitis.

    Science.gov (United States)

    Al-Khawari, Hanaa A T; Al-Manfouhi, Huda A; Madda, John P; Kovacs, Agnes; Sheikh, Mehraj; Roberts, Omolara

    2011-01-01

    Granulomatous mastitis (GM) is a recognized, but an uncommon cause of breast mass. Awareness of this condition is important, because it can clinically as well as radiologically mimic breast carcinoma. In this study, we present the imaging features of a series of 10 cases with proved diagnosis of granulomatous mastitis with emphasis on magnetic resonance (MR) findings. All those patients who were histologically proven to have GM of the breast were analyzed. Their files were reviewed and data recorded for demographic, clinical presentation and imaging appearances. The imaging features of the lesions by mammography, ultrasound, and magnetic resonance imaging were analyzed. Of the 305 patients who were surgically treated, 10 (3%) cases proved to have GM. All the patients were females with age ranging from 27 to 53 years (average 38 years and median age 36 years). Guided core biopsy was performed in all cases for confirmation of diagnosis followed by either excision biopsy (in five cases) or lumpectomy (in five cases). The final histopathologic results were chronic granulomatous inflammation consistent with tuberculosis in four cases and GM with acute inflammation, but unknown etiology in four cases and GM due to duct ectasia in two cases. GM, a rare breast condition, should be considered in the differential diagnosis of patients with a breast mass associated with inflammatory change. Routine breast imaging with US, MG, or MRI, the condition from malignant lesions and biopsy, still remains the only method of definite diagnosis. © 2011 Wiley Periodicals, Inc.

  18. Sonographic features of Adenosis tumor

    Energy Technology Data Exchange (ETDEWEB)

    Jung, Hae Kyoung [Pochon CHA University, College of Medicine, Pochon (Korea, Republic of); Kim, Eun Kyung [Yonsei University, College of Medicine, Seoul (Korea, Republic of)

    2006-06-15

    We wanted to evaluate the sonographic features of adenosis tumor of the breast. We evaluated the sonographic findings of 9 lesions in 9 patients who had a diagnosis of adenosis tumor after excision. The mean age of the patients was 32 years. All the masses were palpable. The sonographic features were interpreted by the ACR-BI-RADS (American College of Radiology Breast Imaging Reporting and Data System). There of the women underwent mammography. The mean size of the lesion was 2.4 cm, and the shape of the masses was oval (n = 9). The orientation was parallel (n = 9). The margin was circumscribed (n = 7), angular (n = 1) and microlobulated (n = 1). The lesion boundary was an abrupt interface (n = 9). The echo pattern was hypoechoic (n = 8) and isoechoic (n = 1). Posterior acoustic enhancement was seen in 7 masses, and the other 2 masses showed combined shadowing and enhancement. The final assessment categories were classified into category 3 (n = 7) and category 4 (n = 2). Mammograms performed in 3 patients revealed a circumscribed mass in 2 patients and negative findings in 1 patient. Adenosis tumor of the breast usually shows as an oval, parallel oriented, circumscribed, hypoechoic mass with posterior acoustic enhancement on sonography.

  19. MR features of ectopic pregnancy

    Energy Technology Data Exchange (ETDEWEB)

    Tamai, Ken; Togashi, Kaori [Kyoto University, Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto (Japan); Koyama, Takashi [Kyoto University Hospital, Department of Radiology, Kyoto (Japan)

    2007-12-15

    Ectopic pregnancy (EP), in which a fertilized ovum implants outside the uterine cavity, is the leading cause of pregnancy-related death in the first trimester. EP is usually suspected by a positive pregnancy test and an empty uterus on transvaginal sonography (TVS). Although TVS is the initial modality of choice, it may occasionally fail to demonstrate the implantation site. When TVS findings are indeterminate, magnetic resonance imaging (MRI) may provide better delineation of the focus of EP owing to its excellent tissue contrast. The key MRI features of EP include gestational sac (GS)-like structures that typically appear as a cystic sac-like structure, frequently associated with surrounding acute hematoma of distinct low intensity on T2-weighted images. In tubal pregnancy, an enhanced tubal wall on postcontrast images may be another diagnostic finding. Ruptured EP is inevitably associated with acute hematoma outside these structures. In intrauterine EP, recognition of the relationship between GS-like structure and the myometrium can aid in differentiating from normal pregnancy. Diagnostic pitfalls include heterotopic pregnancy, decidual changes in endometrial cyst and theca lutein cysts mimicking GS-like structures. Knowledge of a spectrum of clinical and MRI features of EP is essential for establishing an accurate diagnosis and determining appropriate management. (orig.)

  20. Acromegaly: clinical features at diagnosis.

    Science.gov (United States)

    Vilar, Lucio; Vilar, Clarice Freitas; Lyra, Ruy; Lyra, Raissa; Naves, Luciana A

    2017-02-01

    Acromegaly is a rare and underdiagnosed disorder caused, in more than 95% of cases, by a growth hormone (GH)-secreting pituitary adenoma. The GH hypersecretion leads to overproduction of insulin-like growth factor 1 (IGF-1) which results in a multisystem disease characterized by somatic overgrowth, multiple comorbidities, physical disfigurement, and increased mortality. This article aims to review the clinical features of acromegaly at diagnosis. Acromegaly affects both males and females equally and the average age at diagnosis ranges from 40 to 50 years (up to 5% of cases acromegaly is often diagnosed five to more than ten years after its onset. The typical coarsening of facial features include furrowing of fronthead, pronounced brow protrusion, enlargement of the nose and the ears, thickening of the lips, skin wrinkles and nasolabial folds, as well as mandibular prognathism that leads to dental malocclusion and increased interdental spacing. Excessive growth of hands and feet (predominantly due to soft tissue swelling) is present in the vast majority of acromegalic patients. Gigantism accounts for up to 5% of cases and occurs when the excess of GH becomes manifest in the young, before the epiphyseal fusion. The disease also has rheumatologic, cardiovascular, respiratory, neoplastic, neurological, and metabolic manifestations which negatively impact its prognosis and patients quality of life. Less than 15% of acromegalic patients actively seek medical attention for change in appearance or enlargement of the extremities. The presentation of acromegaly is more often related to its systemic comorbidities or to local tumor effects.

  1. Minimum feature size preserving decompositions

    CERN Document Server

    Aloupis, Greg; Demaine, Martin L; Dujmovic, Vida; Iacono, John

    2009-01-01

    The minimum feature size of a crossing-free straight line drawing is the minimum distance between a vertex and a non-incident edge. This quantity measures the resolution needed to display a figure or the tool size needed to mill the figure. The spread is the ratio of the diameter to the minimum feature size. While many algorithms (particularly in meshing) depend on the spread of the input, none explicitly consider finding a mesh whose spread is similar to the input. When a polygon is partitioned into smaller regions, such as triangles or quadrangles, the degradation is the ratio of original to final spread (the final spread is always greater). Here we present an algorithm to quadrangulate a simple n-gon, while achieving constant degradation. Note that although all faces have a quadrangular shape, the number of edges bounding each face may be larger. This method uses Theta(n) Steiner points and produces Theta(n) quadrangles. In fact to obtain constant degradation, Omega(n) Steiner points are required by any al...

  2. Biosafety features of lentiviral vectors.

    Science.gov (United States)

    Schambach, Axel; Zychlinski, Daniela; Ehrnstroem, Birgitta; Baum, Christopher

    2013-02-01

    Over the past decades, lentiviral vectors have evolved as a benchmark tool for stable gene transfer into cells with a high replicative potential. Their relatively flexible genome and ability to transduce many forms of nondividing cells, combined with the potential for cell-specific pseudotyping, provides a rich resource for numerous applications in experimental platforms and therapeutic settings. Here, we give an overview of important biosafety features of lentiviral vectors, with detailed discussion of (i) the principles of the lentiviral split-genome design used for the construction of packaging cells; (ii) the relevance of modifications introduced into the lentiviral long terminal repeat (deletion of enhancer/promoter sequences and introduction of insulators); (iii) the basic features of mRNA processing, including the Rev/Rev-responsive element (RRE) interaction and the modifications of the 3' untranslated region of lentiviral vectors with various post-transcriptional regulatory elements affecting transcriptional termination, polyadenylation, and differentiation-specific degradation of mRNA; and (iv) the characteristic integration pattern with the associated risk of transcriptional interference with cellular genes. We conclude with considerations regarding the importance of cell targeting via envelope modifications. Along this course, we address canonical biosafety issues encountered with any type of viral vector: the risks of shedding, mobilization, germline transmission, immunogenicity, and insertional mutagenesis.

  3. Mixed features in bipolar disorder.

    Science.gov (United States)

    Solé, Eva; Garriga, Marina; Valentí, Marc; Vieta, Eduard

    2017-04-01

    Mixed affective states, defined as the coexistence of depressive and manic symptoms, are complex presentations of manic-depressive illness that represent a challenge for clinicians at the levels of diagnosis, classification, and pharmacological treatment. The evidence shows that patients with bipolar disorder who have manic/hypomanic or depressive episodes with mixed features tend to have a more severe form of bipolar disorder along with a worse course of illness and higher rates of comorbid conditions than those with non-mixed presentations. In the updated Diagnostic and Statistical Manual of Mental Disorders (5th ed.; DSM-5), the definition of "mixed episode" has been removed, and subthreshold nonoverlapping symptoms of the opposite pole are captured using a "with mixed features" specifier applied to manic, hypomanic, and major depressive episodes. However, the list of symptoms proposed in the DSM-5 specifier has been widely criticized, because it includes typical manic symptoms (such as elevated mood and grandiosity) that are rare among patients with mixed depression, while excluding symptoms (such as irritability, psychomotor agitation, and distractibility) that are frequently reported in these patients. With the new classification, mixed depressive episodes are three times more common in bipolar II compared with unipolar depression, which partly contributes to the increased risk of suicide observed in bipolar depression compared to unipolar depression. Therefore, a specific diagnostic category would imply an increased diagnostic sensitivity, would help to foster early identification of symptoms and ensure specific treatment, as well as play a role in suicide prevention in this population.

  4. Temporal feature integration for music genre classification

    DEFF Research Database (Denmark)

    Meng, Anders; Ahrendt, Peter; Larsen, Jan

    2007-01-01

    Temporal feature integration is the process of combining all the feature vectors in a time window into a single feature vector in order to capture the relevant temporal information in the window. The mean and variance along the temporal dimension are often used for temporal feature integration......, but they capture neither the temporal dynamics nor dependencies among the individual feature dimensions. Here, a multivariate autoregressive feature model is proposed to solve this problem for music genre classification. This model gives two different feature sets, the diagonal autoregressive (DAR......) and multivariate autoregressive (MAR) features which are compared against the baseline mean-variance as well as two other temporal feature integration techniques. Reproducibility in performance ranking of temporal feature integration methods were demonstrated using two data sets with five and eleven music genres...

  5. On Linguistic Features of News English

    Institute of Scientific and Technical Information of China (English)

    宋少华

    2008-01-01

    This essay mainly studies the linguistic features of News English on stylistics.The study is made mainly on three aspects of News English.They are lexical features.sentence features and grammar features of News English.Through the study we find that News English,as a distinctive and new language.has its own lin-guistic features in words, sentences and grammar.

  6. Feature-based telescope scheduler

    Science.gov (United States)

    Naghib, Elahesadat; Vanderbei, Robert J.; Stubbs, Christopher

    2016-07-01

    Feature-based Scheduler offers a sequencing strategy for ground-based telescopes. This scheduler is designed in the framework of Markovian Decision Process (MDP), and consists of a sub-linear online controller, and an offline supervisory control-optimizer. Online control law is computed at the moment of decision for the next visit, and the supervisory optimizer trains the controller by simulation data. Choice of the Differential Evolution (DE) optimizer, and introducing a reduced state space of the telescope system, offer an efficient and parallelizable optimization algorithm. In this study, we applied the proposed scheduler to the problem of Large Synoptic Survey Telescope (LSST). Preliminary results for a simplified model of LSST is promising in terms of both optimality, and computational cost.

  7. Unique Features of Mobile Commerce

    Institute of Scientific and Technical Information of China (English)

    DING Xiaojun; IIJIMA Junichi; HO Sho

    2004-01-01

    While the market potentials and impacts of web-based e-commerce are still in the ascendant, the advances in wireless technologies and mobile networks have brought about a new business opportunity and research attention, what is termed mobile commerce. Commonly, mobile commerce is considered to be another new application of existing web-based e-commerce onto wireless networks, but as an independent business area, mobile commerce has its own advantages and challenges as opposed to traditional e-commerce applications. This paper focuses on exploring the unique features of mobile commerce as. Compared with traditional e-commerce. Also, there are still some limitations arisen in m-commerce in contrast to web-based e-commerce. Finally, current state of mobile commerce in Japan is presented in brief, with an introduction of several cases involving mobile commerce applications in today 's marketplace.

  8. Feature selection for portfolio optimization

    DEFF Research Database (Denmark)

    Bjerring, Thomas Trier; Ross, Omri; Weissensteiner, Alex

    2016-01-01

    Most portfolio selection rules based on the sample mean and covariance matrix perform poorly out-of-sample. Moreover, there is a growing body of evidence that such optimization rules are not able to beat simple rules of thumb, such as 1/N. Parameter uncertainty has been identified as one major...... reason for these findings. A strand of literature addresses this problem by improving the parameter estimation and/or by relying on more robust portfolio selection methods. Independent of the chosen portfolio selection rule, we propose using feature selection first in order to reduce the asset menu....... While most of the diversification benefits are preserved, the parameter estimation problem is alleviated. We conduct out-of-sample back-tests to show that in most cases different well-established portfolio selection rules applied on the reduced asset universe are able to improve alpha relative...

  9. MODERN FEATURES OF FINANCIAL GLOBALIZATION

    Directory of Open Access Journals (Sweden)

    VALENTINA FETINIUC

    2013-10-01

    Full Text Available Nowadays, financial globalization as latest stage of financial internationalization process becomes to be the most discussed subject by economic scientists. It has many forms of manifestation and directions of development. One of the main features of financial globalization is increasing the role of the financial sector, linked with the expansion of the scope and complexity of foreign economic relations. The financial system has increasingly become a means of redistribution of financial resources in accordance with the needs and possibilities of development of production not only at national but also at the global level. In this work are presented modern views on financial globalization under aspect of concepts, trends, effects and perspectives.

  10. Feature selection for portfolio optimization

    DEFF Research Database (Denmark)

    Bjerring, Thomas Trier; Ross, Omri; Weissensteiner, Alex

    2016-01-01

    Most portfolio selection rules based on the sample mean and covariance matrix perform poorly out-of-sample. Moreover, there is a growing body of evidence that such optimization rules are not able to beat simple rules of thumb, such as 1/N. Parameter uncertainty has been identified as one major...... reason for these findings. A strand of literature addresses this problem by improving the parameter estimation and/or by relying on more robust portfolio selection methods. Independent of the chosen portfolio selection rule, we propose using feature selection first in order to reduce the asset menu....... While most of the diversification benefits are preserved, the parameter estimation problem is alleviated. We conduct out-of-sample back-tests to show that in most cases different well-established portfolio selection rules applied on the reduced asset universe are able to improve alpha relative...

  11. Topological Features Based Entity Disambiguation

    Institute of Scientific and Technical Information of China (English)

    Chen-Chen Sun; De-Rong Shen; Tie-Zheng Nie; Ge Yu

    2016-01-01

    This work proposes an unsupervised topological features based entity disambiguation solution. Most existing studies leverage semantic information to resolve ambiguous references. However, the semantic information is not always accessible because of privacy or is too expensive to access. We consider the problem in a setting that only relationships between references are available. A structure similarity algorithm via random walk with restarts is proposed to measure the similarity of references. The disambiguation is regarded as a clustering problem and a family of graph walk based clustering algorithms are brought to group ambiguous references. We evaluate our solution extensively on two real datasets and show its advantage over two state-of-the-art approaches in accuracy.

  12. Observational features of pulsar glitches

    Institute of Scientific and Technical Information of China (English)

    2010-01-01

    Pulsar glitches are sudden increases in the rotation rate which probably result from angular momentum transfer within the neutron star. We review the observational features of the 39 glitches detected at Nanshan from 2000 to 2008, including several events which appear to be slow glitches. A wide variety of post-glitch behavior is observed with very little recovery in some pulsars and over-recovery in others. Analysis of the whole sample of known glitches shows that fractional glitch amplitudes are correlated with characteristic age with a peak at about 105 years, but there is a spread of two or three orders of magnitude at all ages. For individual pulsars with many glitches, the time until the next glitch is sometimes proportional to the fractional glitch amplitude.

  13. Multimodal Biometrics using Feature Fusion

    Directory of Open Access Journals (Sweden)

    K. Krishneswari

    2012-01-01

    Full Text Available Problem statement: Biometrics is a unique, measurable physiological or behavioural characteristic of a person and finds extensive applications in authentication and authorization. Fingerprint, palm print, iris, voice, are some of the most widely used biometrics for personal identification. To reduce the error rates and enhance the usability of biometric system, multimodal biometric systems are used where more than one biometric characteristics are used. Approach: In this study it is proposed to investigate the performance of multimodal biometrics using palm print and fingerprint. Features are extracted using Discrete Cosine Transform (DCT and attributes selected using Information Gain (IG. Results and Conclusion: The proposed technique shows an average improvement of 8.52% compared to using palmprint technique alone. The processing time does not increase for verification compared to palm print techniques.

  14. Spatiotemporal features of human mobility

    CERN Document Server

    Bagrow, James P

    2012-01-01

    The individual movements of large numbers of people are important in many contexts, from urban planning to disease spreading. Datasets that capture human mobility are now available and many interesting features have been discovered, including the ultra-slow spatial growth of individual mobility. However, the detailed substructures and spatiotemporal flows of mobility-the sets and sequences of visited locations-have not been well studied. We show that individual mobility is dominated by small groups of frequently visited, dynamically close locations, forming primary "habitats" capturing typical daily activity, along with subsidiary habitats representing additional travel. These habitats do not correspond to typical contexts such as home or work. The temporal evolution of mobility within habitats, which constitutes most motion, is universal across habitats and exhibits scaling patterns both distinct from all previous observations and unpredicted by current models. The delay to enter subsidiary habitats is a pri...

  15. COLOR FEATURE EXTRACTION FOR CBIR

    Directory of Open Access Journals (Sweden)

    Dr. H.B.KEKRE

    2011-12-01

    Full Text Available Content Based Image Retrieval is the application of computer vision techniques to the image retrieval problem of searching for digital images in large databases. The method of CBIR discussed in this paper can filter images based their content and would provide a better indexing and return more accurate results. In this paper we wouldbe discussing: Feature vector generation using color averaging technique, Similarity measures and Performance evaluation using randomly selected 5 query images per class out of which result of one class is discussed. Precision –Recall cross over plot is used as the performance evaluation measure to check the algorithm. As thesystem developed is generic, database consists of images from different classes. The effect due to the size of database and number of different classes is seen on the number of relevancy of the retrievals.

  16. New learning resource features CERN

    CERN Multimedia

    Katarina Anthony

    2011-01-01

    A new educational website, STEM Works, has been launched this month, presenting science and technology in an industrial context for students aged 11-14. Developed with contributions from CERN, the site highlights the Laboratory as a “real-world” example of the opportunities available to science graduates. While the site was developed in Northern Ireland, STEM Works addresses issues of global relevance.   Students share their projects with Steve Myers, Richard Hanna (CCEA), and Catriona Ruane (Education Minister). STEM stands for Science, Technology, Engineering and Mathematics – the four cornerstones of the curriculum featured on the STEM Works website. It is part of a nationwide push in Northern Ireland to highlight how important STEM subjects are to both academia and industry. CERN worked closely with the Northern Ireland Council for the Curriculum, Examinations and Assessment (CCEA) to develop educational content for the site. “The CCEA STEM Works site i...

  17. New features in Delphes 3

    Science.gov (United States)

    Mertens, Alexandre

    2015-05-01

    Delphes is an open source C++ framework to perform the fast simulation of the response of a multipurpose detector. The simulation includes a tracking system, embedded into a magnetic field, calorimeters and a muon system. The framework is interfaced to standard file formats and outputs observables such as isolated leptons, missing transverse energy and collection of jets that can be used for dedicated analyses. The simulation of the detector response takes into account the effect of magnetic field, the granularity of the calorimeters and subdetector resolutions. The program contains parmetrizations for the CMS and ATLAS detectors, based on published performances. Basic parametrizations for the LHCb and FCC detectors are also available. The Delphes framework also includes a simple event display. Several new features are discussed, such as an emulation of the particle-flow algorithm, pile- up simulation, N-subjettiness and a simple b-tagging algorithm based on counting tracks with large impact parameter.

  18. Language identification using spectral and prosodic features

    CERN Document Server

    Rao, K Sreenivasa; Maity, Sudhamay

    2015-01-01

    This book discusses the impact of spectral features extracted from frame level, glottal closure regions, and pitch-synchronous analysis on the performance of language identification systems. In addition to spectral features, the authors explore prosodic features such as intonation, rhythm, and stress features for discriminating the languages. They present how the proposed spectral and prosodic features capture the language specific information from two complementary aspects, showing how the development of language identification (LID) system using the combination of spectral and prosodic features will enhance the accuracy of identification as well as improve the robustness of the system. This book provides the methods to extract the spectral and prosodic features at various levels, and also suggests the appropriate models for developing robust LID systems according to specific spectral and prosodic features. Finally, the book discuss about various combinations of spectral and prosodic features, and the desire...

  19. Rough set-based feature selection method

    Institute of Scientific and Technical Information of China (English)

    ZHAN Yanmei; ZENG Xiangyang; SUN Jincai

    2005-01-01

    A new feature selection method is proposed based on the discern matrix in rough set in this paper. The main idea of this method is that the most effective feature, if used for classification, can distinguish the most number of samples belonging to different classes. Experiments are performed using this method to select relevant features for artificial datasets and real-world datasets. Results show that the selection method proposed can correctly select all the relevant features of artificial datasets and drastically reduce the number of features at the same time. In addition, when this method is used for the selection of classification features of real-world underwater targets,the number of classification features after selection drops to 20% of the original feature set, and the classification accuracy increases about 6% using dataset after feature selection.

  20. Correlated Non-Parametric Latent Feature Models

    CERN Document Server

    Doshi-Velez, Finale

    2012-01-01

    We are often interested in explaining data through a set of hidden factors or features. When the number of hidden features is unknown, the Indian Buffet Process (IBP) is a nonparametric latent feature model that does not bound the number of active features in dataset. However, the IBP assumes that all latent features are uncorrelated, making it inadequate for many realworld problems. We introduce a framework for correlated nonparametric feature models, generalising the IBP. We use this framework to generate several specific models and demonstrate applications on realworld datasets.

  1. Pleomorphic xanthoastrocytoma with anaplastic features

    Directory of Open Access Journals (Sweden)

    Cheng ZHI

    2015-08-01

    Full Text Available Objective  To explore the clinical pathological characteristics, immunophenotyping, diagnosis and differential diagnosis and prognosis of pleomorphic xanthoastrocytoma (PXA with anaplastic features.  Methods  HE staining was used for histological observation. The expressions of glial fibrillary acidic protein (GFAP, vimentin (Vim, CD34, epithelial membrane antigen (EMA, progestrone receptor (PR, neurofilment protein (NF, neuronal nuclei (NeuN, synaptophysin (Syn, Nestin (Nes, S-100 protein (S-100, P53 and Ki-67 labeling index were detected by immunohistochemical method. BRAF mutation was detected by polymerase chain reaction (PCR amplification.  Results  A 43-year-old male patient presented with repeatedly paroxysmal tic of limbs and disturbance of consciousness. Cranial MRI revealed multiple abnormal signals in left temporo-occipito-parietal lobe and posterior horn of lateral ventricle, with unclear borderline and cystic degeneration. Surgical removal of the lesion was performed. Histologically, the tumor was biphasic. One part was composed of spindle cells arranged in fascicles or as running water, with weird multinuclear giant cells. Abundant vacuolated lipidized cytoplasm could be seen. Mitosis and "map"-like necrosis were noted. Another part revealed the tumor cells were consistent in size and uniform in distribution, with loose background tissue. Immunohistochemistry showed tumor cells were diffusely positive for GFAP, Vim, S-100, Nes, CD34 and P53, and negative for EMA, Syn, NeuN and NF. Ki-67 labeling index was about 15%. Reticular fiber staining showed abundant reticular fibers in the tumor tissue. BRAF mutation detected by PCR amplification was not found.  Conclusions  Classified as grade Ⅱ in the World Health Organization (WHO classification, the prognosis of PXA is good. A diagnosis of PXA with anaplastic features should be considered when the tumor demonstrates mitotic activity > 5/10 high power field (HPF and/or areas of

  2. Feature detection of triangular meshes vianeighbor supporting

    Institute of Scientific and Technical Information of China (English)

    Xiao-chao WANG; Jun-jie CAO; Xiu-ping LIU; Bao-jun LI; Xi-quan SHI; Yi-zhen SUN

    2012-01-01

    We propose a robust method for detecting features on triangular meshes by combining normal tensor voting with neighbor supporting.Our method contains two stages:feature detection and feature refinement.First,the normal tensor voting method is modified to detect the initial features,which may include some pseudo features.Then,at the feature refinement stage,a novel salient measure deriving from the idea of neighbor supporting is developed. Benefiting from the integrated reliable salient measure feature,pseudo features can be effectively discriminated from the initially detected features and removed. Compared to previous methods based on the differential geometric property,the main advantage of our method is that it can detect both sharp and weak features.Numerical experiments show that our algorithm is robust,effective,and can produce more accurate results.We also discuss how detected features are incorporated into applications,such as feature-preserving mesh denoising and hole-filling,and present visually appealing results by integrating feature information.

  3. Feature Reinforcement Learning In Practice

    CERN Document Server

    Nguyen, Phuong; Hutter, Marcus

    2011-01-01

    Following a recent surge in using history-based methods for resolving perceptual aliasing in reinforcement learning, we introduce an algorithm based on the feature reinforcement learning framework called PhiMDP. To create a practical algorithm we devise a stochastic search procedure for a class of context trees based on parallel tempering and a specialized proposal distribution. We provide the first empirical evaluation for PhiMDP. Our proposed algorithm achieves superior performance to the classical U-tree algorithm and the recent active-LZ algorithm, and is competitive with MC-AIXI-CTW that maintains a bayesian mixture over all context trees up to a chosen depth.We are encouraged by our ability to compete with this sophisticated method using an algorithm that simply picks one single model, and uses Q-learning on the corresponding MDP. Our PhiMDP algorithm is much simpler, yet consumes less time and memory. These results show promise for our future work on attacking more complex and larger problems.

  4. Sonographic Features of Colonic Diverticulitis

    Energy Technology Data Exchange (ETDEWEB)

    Jeong, Yu Mee; Ko, Young Tae; Lim, Joo Won; Lee, Dong Ho; Yoon, Yup [Kyung Hee University Hospital, Seoul (Korea, Republic of)

    1996-06-15

    To evaluate sonographic features, location of diverticulum, and usefulness of sonography as a primary diagnostic tool. Sonographic findings of 28 patients with acute diverticulitis were reviewed. The diagnosis was made by surgery (11 patients), barium enema (20 patients), colonoscopy (3 patients), or CT (2 patients). There were 13 men and 15 women with ages ranging from 23 to 71 years old (mean, 33 years old). Sonographic abnormalities were seen in the cecum in 12 patients, both the cecum and ascending colon in seven, the ascending colon in six, the descending colon in two, and the transverse colon in one. On sonography, segmental thickening of the colonic wall was the most common finding, seen in 16 patients. The second most common finidngs were pericolic omental thickening and pericolic localized fluid collection (15 patients). Pericolic inflammatory mass of varying echogenicity (10 patients), out pouching hyper echoic foci beyond the lumen of the colon into or beyond the thickened wall (5 patients), contracture of the colon (5 patients), slightly thickened terminal ileum (1 patient), and local enlargement of ileocecal lymph node (1 patient) were also seen. Most diverticulitis occurred in the right colon. The useful sonographic findings in acute diverticulitis were echogenic foci of the diverticulum in the thickened colonic wall, focally and eccentrically thickened colonic wall, and localized omental thickening or fluid collection. In cases of pericecal fluid collection, appendicitis or colonic diverticulitis can be considered as a differential diagnosis

  5. Comprehensive Analysis of Neptune's Features

    Science.gov (United States)

    Karkoschka, Erich

    2007-07-01

    Hubble took an amazing data set of Neptune in nine GO programs between 1994 and 2006, consisting of 408 WFPC2 exposures with several filters present in each program. The PIs of these programs, Hammel, Sromovsky, and Rages, published a variety of results about Neptune's atmosphere based on each program. However, the typical size of the grants for each program did not allow all scientific questions of these rich data sets to be addressed.I propose to analyze these 400 images to create a consistent data set spanning 12 years, and I will make even the intermediate results available, such as 400 consistently calibrated images. The combined data set will then be able to address more far reaching questions than could be done by single data sets. Whereas previous studies focused on only a few center-to-limb measurements for a limited selection of latitudes and wavelengths, I will investigate the whole data set and analyze 16,000 center-to-limb curves. I will use the principal component analysis and various statistical tests to find the hidden variations on Neptune. I created software for a similar project on Hubble's Saturn images. I am ready to adapt and apply it to Hubble's Neptune images.The huge number of variable features on Neptune contain an ideal probe about atmospheric dynamics. Previous investigations have only scratched pieces of the surface of this treasure. It is time for a comprehensive study of the whole data to discover fundamenatal insights about atmospheric dynamics.

  6. Featured Image: A Comet's Coma

    Science.gov (United States)

    Kohler, Susanna

    2016-11-01

    This series of images (click for the full view!) features the nucleus of comet 67P/Churymov-Gerasimenko. The images were taken with the Wide Angle Camera of RosettasOSIRIS instrument asRosetta orbited comet 67P. Each column represents a different narrow-band filter that allows us to examine the emission of a specific fragment species, and the images progress in time from January 2015 (top) to June 2015 (bottom). In a recent study, Dennis Bodewits (University of Maryland) and collaborators used these images to analyze the comets inner coma, the cloud of gas and dust produced around the nucleus as ices sublime. OSIRISs images allowed the team to explore how the 67Ps inner coma changed over time as the comet approached the Sun marking the first time weve been able to study such an environment at this level of detail. To read more about what Bodewits and collaborators learned, you can check out their paper below!CitationD. Bodewits et al 2016 AJ 152 130. doi:10.3847/0004-6256/152/5/130

  7. Imaging features in Hirayama disease

    Directory of Open Access Journals (Sweden)

    Sonwalkar Hemant

    2008-01-01

    Full Text Available Purpose: To evaluate the MR findings in clinically suspected cases of Hirayama disease. Materials and Methods: The pre and post contrast neutral and flexion position cervical MR images of eight patients of clinically suspected Hirayama disease were evaluated for the following findings: localized lower cervical cord atrophy, asymmetric cord flattening, abnormal cervical curvature, loss of attachment between the posterior dural sac and subjacent lamina, anterior shifting of the posterior wall of the cervical dural canal and enhancing epidural component with flow voids. The distribution of the above features in our patient population was noted and correlated with their clinical presentation and electromyography findings. Observations: Although lower cervical cord atrophy was noted in all eight cases of suspected Hirayama disease, the rest of the findings were variably distributed with asymmetric cord flattening, abnormal cervical curvature, anterior shifting of the posterior wall of the cervical dural canal and enhancing epidural component seen in six out of eight (75% cases. An additional finding of thoracic extension of the enhancing epidural component was also noted in five out of eight cases. Conclusion: Dynamic post contrast MRI evaluation of cervicothoracic spine is an accurate method for the diagnosis of Hirayama disease.

  8. PHISICS: New Features and Advancements

    Energy Technology Data Exchange (ETDEWEB)

    C. Rabiti; Y. Wang; G. Palmiotti; H. Hiruta; J. Cogliati; A. Alfonsi; A. EPiney; T. Grimmett

    2011-06-01

    The PHISICS (Parallel and Highly Innovative Simulation for INL Code System) software is under an intensive development at INL. In the last months new features have been added and improvements of the previously existing one performed. The modular approach has created a friendly development environment that allows a quick expansion of the capabilities. In the last months a little amount of work has been dedicated to the improvement of the spherical harmonics based nodal transport solver while the implementation of a solver based on the self adjoint formulation of the discrete ordinate is in the test phase on structured mesh. PHISICS now include a depletion solver with the option to use two different algorithms for the solution of the Bateman equation: the Taylor development of the exponential matrix and the Chebyshev Rational Approximation Method. The coupling with RELAP5 is also available at least in the steady state search mode. The coupling between RELAP5 and PHISICS can also take advantage of the new cross section interpolation module so that the coupling could be performed using an arbitrary number of energy groups.

  9. Surface Features of Nanocrystalline Alloys

    Directory of Open Access Journals (Sweden)

    Marcel Miglierini

    2015-12-01

    Full Text Available Nanocrystalline alloys are prepared by controlled annealing of metallic glass precursors. The latter are obtained by rapid quenching of a melt on a rotating wheel. This process leads to structural deviation of the produced ribbons’ surfaces. Structural features of as-quenched and thermally annealed 57Fe81Mo8Cu1B10 ribbons were studied employing Conversion Electron Mössbauer Spectrometry (CEMS and Conversion X-ray Mössbauer Spectrometry (CXMS. Enrichment of the alloy’s composition in 57Fe helped in identification of surface crystallites that were formed even during the production process. Magnetite and bcc-Fe were found at the wheel side of the as-quenched ribbons whereas only bcc-Fe nanocrystals were uncovered at the opposite air side. Accelerated formation of bcc-Fe was observed in this side of the ribbons after annealing. The relative content of magnetite at the wheel side was almost stable in near surface areas (CEMS and in more deep subsurface regions (CXMS. It vanished completely after annealing at 550 °C. No magnetite was observed at the air side of the ribbons regardless the annealing temperature and/or depth of the scanned regions.

  10. CT features of appendiceal mucocele

    Energy Technology Data Exchange (ETDEWEB)

    Yu, Won Jong; Byun, Jae Young; Jung, Jung Im; Lee, Hae Gyu; Park, Young Ha; Shin, Kyung Sub [Catholic University Medical College, Seoul (Korea, Republic of)

    1995-10-15

    To evaluate the usefulness of CT features of appendiceal mucocele in the diagnosis and evaluation of complications. We retrospectively reviewed CT findings and compared with operative findings in 7 cases of pathologically proven appendiceal mucocele. CT findings such as location and extent of the lesion, tissue density, thickness or calcification of the wall, presence of adjacent inflammatory infiltration, and visualization of normal vermiform appendix were analyzed. Appendiceal mucocele was found as homogeneous low density cystic mass adjacent to the cecum, which has no surrounding inflammatory infiltration except in one case of perforation and one case of intussusception. Mean CT number measured in 4 cases was 21 Hounsfield unit. Thin curvilinear calcifications were noted along the cystic wall in 2 cases. Normal vermiform appendix couldn't be demonstrated in all cases. Appendiceal mucocele is characterized by homogeneously low density and thin walled cystic tumor adjacent to cecum without surrounding inflammatory infiltration, and absence of normal vermiform appendix on CT. Therefore, CT is valuable in preventing operative complications of appendiceal mucocele.

  11. Pitch features of environmental sounds

    Science.gov (United States)

    Yang, Ming; Kang, Jian

    2016-07-01

    A number of soundscape studies have suggested the need for suitable parameters for soundscape measurement, in addition to the conventional acoustic parameters. This paper explores the applicability of pitch features that are often used in music analysis and their algorithms to environmental sounds. Based on the existing alternative pitch algorithms for simulating the perception of the auditory system and simplified algorithms for practical applications in the areas of music and speech, the applicable algorithms have been determined, considering common types of sound in everyday soundscapes. Considering a number of pitch parameters, including pitch value, pitch strength, and percentage of audible pitches over time, different pitch characteristics of various environmental sounds have been shown. Among the four sound categories, i.e. water, wind, birdsongs, and urban sounds, generally speaking, both water and wind sounds have low pitch values and pitch strengths; birdsongs have high pitch values and pitch strengths; and urban sounds have low pitch values and a relatively wide range of pitch strengths.

  12. Improved AAG based recognization of machining feature

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    The lost information caused by feature interaction is restored by using auxiliary faces(AF)and virtual links(VL).The delta volume of the interacted features represented by concave attachable connected graph (CACG)can be decomposed into several isolated features represented by complete concave adjacency graph (CCAG).We can recognize the features sketchy type by using CCAG as a hint; the exact type of the feature can be attained by deleting the auxiliary faces from the isolated feature.United machining feature(UMF)is used to represent the features that can be machined in the same machining process.It is important to the rationalizing of the process plans and reduce the time costing in machining.An example is given to demonstrate the effectiveness of this method.

  13. Temporal Feature Integration for Music Organisation

    DEFF Research Database (Denmark)

    Meng, Anders

    2006-01-01

    ranking' approach is proposed for ranking the short-time features at larger time-scales according to their discriminative power in a music genre classification task. The multivariate AR (MAR) model has been proposed for temporal feature integration. It effectively models local dynamical structure......This Ph.D. thesis focuses on temporal feature integration for music organisation. Temporal feature integration is the process of combining all the feature vectors of a given time-frame into a single new feature vector in order to capture relevant information in the frame. Several existing methods...... for handling sequences of features are formulated in the temporal feature integration framework. Two datasets for music genre classification have been considered as valid test-beds for music organisation. Human evaluations of these, have been obtained to access the subjectivity on the datasets. Temporal...

  14. Demographics and presenting clinical features of childhood ...

    African Journals Online (AJOL)

    Demographics and presenting clinical features of childhood systemic lupus ... and characteristics of children with systemic lupus erythematosus (SLE). ... Rashes were found to be the commonest clinical feature present at the time of diagnosis, ...

  15. FATS: Feature Analysis for Time Series

    CERN Document Server

    Nun, Isadora; Sim, Brandon; Zhu, Ming; Dave, Rahul; Castro, Nicolas; Pichara, Karim

    2015-01-01

    In this paper, we present the FATS (Feature Analysis for Time Series) library. FATS is a Python library which facilitates and standardizes feature extraction for time series data. In particular, we focus on one application: feature extraction for astronomical light curve data, although the library is generalizable for other uses. We detail the methods and features implemented for light curve analysis, and present examples for its usage.

  16. Correlative Feature Analysis for Multimodality Breast CAD

    Science.gov (United States)

    2009-09-01

    developed two sets of “large-scale” features. Firstly, we extracted a set of texture features based on a gray-level co-occurrence matrix ( GLCM ). For...each region, four GLCMs were constructed along four different directions of 0°, 45°, 90° and 135°. Assuming that there is no directional texture...features in mammograms, a non-directional GLCM was obtained by summing all the directional GLCMs . Texture features were then computed from each non

  17. Effective Feature Preprocessing for Time Series Forecasting

    DEFF Research Database (Denmark)

    Zhao, Junhua; Dong, Zhaoyang; Xu, Zhao

    2006-01-01

    Time series forecasting is an important area in data mining research. Feature preprocessing techniques have significant influence on forecasting accuracy, therefore are essential in a forecasting model. Although several feature preprocessing techniques have been applied in time series forecasting...... performance in time series forecasting. It is demonstrated in our experiment that, effective feature preprocessing can significantly enhance forecasting accuracy. This research can be a useful guidance for researchers on effectively selecting feature preprocessing techniques and integrating them with time...... series forecasting models....

  18. Feature-based Image Sequence Compression Coding

    Institute of Scientific and Technical Information of China (English)

    2001-01-01

    A novel compressing method for video teleconference applications is presented. Semantic-based coding based on human image feature is realized, where human features are adopted as parameters. Model-based coding and the concept of vector coding are combined with the work on image feature extraction to obtain the result.

  19. Embedded Incremental Feature Selection for Reinforcement Learning

    Science.gov (United States)

    2012-05-01

    Classical reinforcement learning techniques become impractical in domains with large complex state spaces. The size of a domain’s state space is...require all the provided features. In this paper we present a feature selection algorithm for reinforcement learning called Incremental Feature

  20. Mobility as a feature: Evidence from Zulu

    African Journals Online (AJOL)

    Kate H

    The two approaches differ in whether this feature is associated with the ... Zulu, the “mobility” of a phrase is encoded by a grammatical feature on the moving category. ... uninterpretable φ- (= noun class) features [uφ] of ν and the interpretable ...

  1. Features in visual search combine linearly.

    Science.gov (United States)

    Pramod, R T; Arun, S P

    2014-04-08

    Single features such as line orientation and length are known to guide visual search, but relatively little is known about how multiple features combine in search. To address this question, we investigated how search for targets differing in multiple features (intensity, length, orientation) from the distracters is related to searches for targets differing in each of the individual features. We tested race models (based on reaction times) and co-activation models (based on reciprocal of reaction times) for their ability to predict multiple feature searches. Multiple feature searches were best accounted for by a co-activation model in which feature information combined linearly (r = 0.95). This result agrees with the classic finding that these features are separable i.e., subjective dissimilarity ratings sum linearly. We then replicated the classical finding that the length and width of a rectangle are integral features-in other words, they combine nonlinearly in visual search. However, to our surprise, upon including aspect ratio as an additional feature, length and width combined linearly and this model outperformed all other models. Thus, length and width of a rectangle became separable when considered together with aspect ratio. This finding predicts that searches involving shapes with identical aspect ratio should be more difficult than searches where shapes differ in aspect ratio. We confirmed this prediction on a variety of shapes. We conclude that features in visual search co-activate linearly and demonstrate for the first time that aspect ratio is a novel feature that guides visual search.

  2. Clinical features of hepatic angiomyolipoma

    Institute of Scientific and Technical Information of China (English)

    Yan-Ming Zhou; Bin Li; Feng Xu; Bin Wang; Dian-Qi Li; Xiao-Feng Zhang; Peng Liu; Jia-Mei Yang

    2008-01-01

    BACKGROUND: Hepatic angiomyolipoma (HAML) is a rare hepatic mesenchymal tumor. This study was designed to explore its clinical features. METHODS: Clinical  data  from  26  patients  who  had been  pathologically  conifrmed  with  HAML  and  had received surgical resection at our hospital were analyzed retrospectively. RESULTS: HAML was seen more frequently in females (18/26) in this series, and most of the patients presented no signiifcant symptoms except for one who had a spontaneous rupture hemorrhage. Serum alpha-fetoprotein (AFP), carbohydrate antigen 19-9 (CA19-9) and carcinoembryonic antigen (CEA) were negative in all patients. Imaging presentations were diverse. Pre-operative diagnosis was made in only 3 patients. Pathological study showed that the tumor was composed of adipose tissue, smooth muscle and blood vessels in different proportions. One patient showed hepatic vessel invasion. HMB-45 immunohistochemical staining was positive in all tumors. All patients underwent surgical resection without signiifcant complications. Except for one patient who died 14 months after operation because of recurrent disease, no tumor recurrence was observed in the remaining 25 patients during a 2-3 years follow-up. CONCLUSIONS: Pre-operative  diagnosis  of  HAML  is dififcult. There are potential risks of spontaneous rupture and malignant transformation. Surgical resection is the treatment of choice for HAML.

  3. SOME ENVIRONMENTAL FEATURES OF PHYTOPLANKTON

    Directory of Open Access Journals (Sweden)

    Taha A. Al-Tayyar

    2013-05-01

    Full Text Available Todefine the biological features of phytoplankton in Mosul  Dam  Lake, monthly samples were collectedalong a year from September 2003 to August 2004. Consisting thermalstratification and turn over periods from four locations in the main lake andanother location in the regulating lake. Total numbers of algae  reached 2300 cell/ml in the main lake and 1100cell/ml in the regulating lake.Bacillariophyta were dominant with a maximum number of 1400 cell/ml in autumn. Chlorophytawere dominant in autumn also with 550 cell/ml. Ten genus of Chlorophyta wereappeared in this water body: Cosmarium, Chlorella, Spirogyra, Scendesmus, Pediastrum, Tetraedron, Quadrigula, Ankiseradosm, Pandorina, and Straurastrum.Seven genus of Bacillariophyta were noticeable. Some genus of Cyanophyta was recorded as Aphanocapsa. In addition someEuglenophyta spp. were occurred in the main lake and the regulating lake also. On thebasis of these algae abundance, the lake is undergoing cultural Eutrophication.It has passed in mesotrophic state (the middle trophic state ofEutrophication. Some genera which were appeared are the indication ofeutrophic state.Totalplate count bacteria ranged from 400-1700 cell/ ml in the main lake and 200-950 cell/ml in the regulating lakewere also recorded. Coliform bacteria were founded with most probablenumber  reached 460 cell/100ml in themain lake and 150 cell/100ml in the regulating lake. Therefore, the lake wateris classified as moderate pure and considering a good source of raw water supplywith all treatment units and safe for swimming and recreational uses.

  4. A multidimensional representation model of geographic features

    Science.gov (United States)

    Usery, E. Lynn; Timson, George; Coletti, Mark

    2016-01-28

    A multidimensional model of geographic features has been developed and implemented with data from The National Map of the U.S. Geological Survey. The model, programmed in C++ and implemented as a feature library, was tested with data from the National Hydrography Dataset demonstrating the capability to handle changes in feature attributes, such as increases in chlorine concentration in a stream, and feature geometry, such as the changing shoreline of barrier islands over time. Data can be entered directly, from a comma separated file, or features with attributes and relationships can be automatically populated in the model from data in the Spatial Data Transfer Standard format.

  5. Feature coding for image representation and recognition

    CERN Document Server

    Huang, Yongzhen

    2015-01-01

    This brief presents a comprehensive introduction to feature coding, which serves as a key module for the typical object recognition pipeline. The text offers a rich blend of theory and practice while reflects the recent developments on feature coding, covering the following five aspects: (1) Review the state-of-the-art, analyzing the motivations and mathematical representations of various feature coding methods; (2) Explore how various feature coding algorithms evolve along years; (3) Summarize the main characteristics of typical feature coding algorithms and categorize them accordingly; (4) D

  6. Return of feature-based cost modeling

    Science.gov (United States)

    Creese, Robert C.; Patrawala, Taher B.

    1998-10-01

    Feature Based Cost Modeling is thought of as a relative new approach to cost modeling, but feature based cost modeling had considerable development in the 1950's. Considerable work was published in the 1950's by Boeing on cost for various casting processes--sand casting, die casting, investment casting and permanent mold casting--as a function of a single casting feature, casting volume. Additional approaches to feature based cost modeling have been made, and this work is a review of previous works and a proposed integrated model to feature based cost modeling.

  7. Remodularizing Java programs for comprehension of features

    DEFF Research Database (Denmark)

    Olszak, Andrzej; Jørgensen, Bo Nørregaard

    2009-01-01

    . In absence of these mechanisms, feature implementations tend to be scattered and tangled in terms of object-oriented abstractions, making the code implementing features difficult to locate and comprehend. In this paper we present a semi-automatic method for feature-oriented remodularization of Java programs....... Our method uses execution traces to locate implementations of features, and Java packages to establish explicit feature modules. To evaluate usefulness of the approach, we present a case study where we apply our method to two real-world software systems. The obtained results indicate a significant...

  8. Patch layout generation by detecting feature networks

    KAUST Repository

    Cao, Yuanhao

    2015-02-01

    The patch layout of 3D surfaces reveals the high-level geometric and topological structures. In this paper, we study the patch layout computation by detecting and enclosing feature loops on surfaces. We present a hybrid framework which combines several key ingredients, including feature detection, feature filtering, feature curve extension, patch subdivision and boundary smoothing. Our framework is able to compute patch layouts through concave features as previous approaches, but also able to generate nice layouts through smoothing regions. We demonstrate the effectiveness of our framework by comparing with the state-of-the-art methods.

  9. Remodularizing Java programs for comprehension of features

    DEFF Research Database (Denmark)

    Olszak, Andrzej; Jørgensen, Bo Nørregaard

    2009-01-01

    . In absence of these mechanisms, feature implementations tend to be scattered and tangled in terms of object-oriented abstractions, making the code implementing features difficult to locate and comprehend. In this paper we present a semi-automatic method for feature-oriented remodularization of Java programs....... Our method uses execution traces to locate implementations of features, and Java packages to establish explicit feature modules. To evaluate usefulness of the approach, we present a case study where we apply our method to two real-world software systems. The obtained results indicate a significant...

  10. Evaluation of textural features for multispectral images

    Science.gov (United States)

    Bayram, Ulya; Can, Gulcan; Duzgun, Sebnem; Yalabik, Nese

    2011-11-01

    Remote sensing is a field that has wide use, leading to the fact that it has a great importance. Therefore performance of selected features plays a great role. In order to gain some perspective on useful textural features, we have brought together state-of-art textural features in recent literature, yet to be applied in remote sensing field, as well as presenting a comparison with traditional ones. Therefore we selected most commonly used textural features in remote sensing that are grey-level co-occurrence matrix (GLCM) and Gabor features. Other selected features are local binary patterns (LBP), edge orientation features extracted after applying steerable filter, and histogram of oriented gradients (HOG) features. Color histogram feature is also used and compared. Since most of these features are histogram-based, we have compared performance of bin-by-bin comparison with a histogram comparison method named as diffusion distance method. During obtaining performance of each feature, k-nearest neighbor classification method (k-NN) is applied.

  11. Generating Best Features for Web Page Classification

    Directory of Open Access Journals (Sweden)

    K. Selvakuberan

    2008-03-01

    Full Text Available As the Internet provides millions of web pages for each and every search term, getting interesting and required results quickly from the Web becomes very difficult. Automatic classification of web pages into relevant categories is the current research topic which helps the search engine to get relevant results. As the web pages contain many irrelevant, infrequent and stop words that reduce the performance of the classifier, extracting or selecting representative features from the web page is an essential pre-processing step. The goal of this paper is to find minimum number of highly qualitative features by integrating feature selection techniques. We conducted experiments with various numbers of features selected by different feature selection algorithms on a well defined initial set of features and show that cfssubset evaluator combined with term frequency method gives minimal qualitative features enough to attain considerable classification accuracy.

  12. A Genetic Algorithm-Based Feature Selection

    Directory of Open Access Journals (Sweden)

    Babatunde Oluleye

    2014-07-01

    Full Text Available This article details the exploration and application of Genetic Algorithm (GA for feature selection. Particularly a binary GA was used for dimensionality reduction to enhance the performance of the concerned classifiers. In this work, hundred (100 features were extracted from set of images found in the Flavia dataset (a publicly available dataset. The extracted features are Zernike Moments (ZM, Fourier Descriptors (FD, Lengendre Moments (LM, Hu 7 Moments (Hu7M, Texture Properties (TP and Geometrical Properties (GP. The main contributions of this article are (1 detailed documentation of the GA Toolbox in MATLAB and (2 the development of a GA-based feature selector using a novel fitness function (kNN-based classification error which enabled the GA to obtain a combinatorial set of feature giving rise to optimal accuracy. The results obtained were compared with various feature selectors from WEKA software and obtained better results in many ways than WEKA feature selectors in terms of classification accuracy

  13. Controllable Edge Feature Sharpening for Dental Applications

    Directory of Open Access Journals (Sweden)

    Ran Fan

    2014-01-01

    Full Text Available This paper presents a new approach to sharpen blurred edge features in scanned tooth preparation surfaces generated by structured-light scanners. It aims to efficiently enhance the edge features so that the embedded feature lines can be easily identified in dental CAD systems, and to avoid unnatural oversharpening geometry. We first separate the feature regions using graph-cut segmentation, which does not require a user-defined threshold. Then, we filter the face normal vectors to propagate the geometry from the smooth region to the feature region. In order to control the degree of the sharpness, we propose a feature distance measure which is based on normal tensor voting. Finally, the vertex positions are updated according to the modified face normal vectors. We have applied the approach to scanned tooth preparation models. The results show that the blurred edge features are enhanced without unnatural oversharpening geometry.

  14. A Sparse-Feature-Based Face Detector

    Institute of Scientific and Technical Information of China (English)

    LUXiaofeng; ZHENGNanning; ZHENGSongfeng

    2003-01-01

    Local features and global features are two kinds of important statistical features used to distinguish faces from nonfaces. They are both special cases of sparse features. A final classifier can be considered as a combination of a set of selected weak classiflers, and each weak classifier uses a sparse feature to classify samples. Motivated by this thought, we construct an over complete set of weak classifiers using LPSVM (Linear proximal support vector machine) algorithm, and then we select part of them using AdaBoost algorithm and combine the selected weak classifiers to form a strong classifier. And duringthe course of feature extraction and selection, our method can minimize the classification error directly, whereas most previous works cannot do this. The main difference from other methods is that the local features are learned from the training set instead of being arbitrarily defined. We applied our method to face detection; the test result shows that this method performs well.

  15. Sleep Stage Classification Using Unsupervised Feature Learning

    Directory of Open Access Journals (Sweden)

    Martin Längkvist

    2012-01-01

    Full Text Available Most attempts at training computers for the difficult and time-consuming task of sleep stage classification involve a feature extraction step. Due to the complexity of multimodal sleep data, the size of the feature space can grow to the extent that it is also necessary to include a feature selection step. In this paper, we propose the use of an unsupervised feature learning architecture called deep belief nets (DBNs and show how to apply it to sleep data in order to eliminate the use of handmade features. Using a postprocessing step of hidden Markov model (HMM to accurately capture sleep stage switching, we compare our results to a feature-based approach. A study of anomaly detection with the application to home environment data collection is also presented. The results using raw data with a deep architecture, such as the DBN, were comparable to a feature-based approach when validated on clinical datasets.

  16. The distinctive features for standard Chinese (Putonghua)

    Institute of Scientific and Technical Information of China (English)

    ZHANG Jialu

    2006-01-01

    The distinctive features, which are one of the important research subjects in Phonetics and Phonology and in speech technology also, are the ultimate units of speech. Firstly a phoneme system of the standard Chinese-Putonghua was determined based on the results of cluster analysis of perceptual confusion of speech sounds of Putonghua. Then according to the principle of choice between the two opposites proposed by Jakobson, Fant and Halle, considering the characteristics of Putonghua the distinctive feature values for Initials, Finals and Tones were determined in this paper. And the features have been formulated at both acoustic level and genetic level. The distinctive feature trees of Chinese initials and finals were drawn in addition to the feature tables, in order to understand the distinctive features for individual phoneme easily.

  17. Roles and Responsibilities in Feature Teams

    Science.gov (United States)

    Eckstein, Jutta

    Agile development requires self-organizing teams. The set-up of a (feature) team has to enable self-organization. Special care has to be taken if the project is not only distributed, but also large and more than one feature team is involved. Every feature team needs in such a setting a product owner who ensures the continuous focus on business delivery. The product owners collaborate by working together in a virtual team. Each feature team is supported by a coach who ensures not only the agile process of the individual feature team but also across all feature teams. An architect (or if necessary a team of architects) takes care that the system is technically sound. Contrariwise to small co-located projects, large global projects require a project manager who deals with—among other things—internal and especially external politics.

  18. Medical Image Feature, Extraction, Selection And Classification

    Directory of Open Access Journals (Sweden)

    M.VASANTHA,

    2010-06-01

    Full Text Available Breast cancer is the most common type of cancer found in women. It is the most frequent form of cancer and one in 22 women in India is likely to suffer from breast cancer. This paper proposes a image classifier to classify the mammogram images. Mammogram image is classified into normal image, benign image and malignant image. Totally 26 features including histogram intensity features and GLCM features are extracted from mammogram image. A hybrid approach of feature selection is proposed in this paper which reduces 75% of the features. Decision tree algorithms are applied to mammography lassification by using these reduced features. Experimental results have been obtained for a data set of 113 images taken from MIAS of different types. This technique of classification has not been attempted before and it reveals the potential of Data mining in medical treatment.

  19. Acceleration feature points of unsteady shear flows

    CERN Document Server

    Kasten, Jens; Hotz, Ingrid; Hege, Hans-Christian; Noack, Bernd R; Daviller, Guillaume; Morzynski, Marek

    2014-01-01

    In this paper, we propose a novel framework to extract features such as vortex cores and saddle points in two-dimensional unsteady flows. This feature extraction strategy generalizes critical points of snapshot topology in a Galilean-invariant manner, allows to prioritize features according to their strength and longevity, enables to track the temporal evolution of features, is robust against noise and has no subjective parameters. These characteristics are realized via several constitutive elements. First, acceleration is employed as a feature identifier following Goto and Vassilicos (2006), thus ensuring Galilean invariance. Second, the acceleration magnitude is used as basis for a mathematically well-developed scalar field topology. The minima of this field are called acceleration feature points, a superset of the acceleration zeros. These points are discriminated into vortices and saddle points depending the spectral properties of the velocity Jacobian. Third, all operations are based on discrete topology...

  20. Image segmentation using association rule features.

    Science.gov (United States)

    Rushing, John A; Ranganath, Heggere; Hinke, Thomas H; Graves, Sara J

    2002-01-01

    A new type of texture feature based on association rules is described. Association rules have been used in applications such as market basket analysis to capture relationships present among items in large data sets. It is shown that association rules can be adapted to capture frequently occurring local structures in images. The frequency of occurrence of these structures can be used to characterize texture. Methods for segmentation of textured images based on association rule features are described. Simulation results using images consisting of man made and natural textures show that association rule features perform well compared to other widely used texture features. Association rule features are used to detect cumulus cloud fields in GOES satellite images and are found to achieve higher accuracy than other statistical texture features for this problem.

  1. Effective Feature Preprocessing for Time Series Forecasting

    DEFF Research Database (Denmark)

    Zhao, Junhua; Dong, Zhaoyang; Xu, Zhao

    2006-01-01

    Time series forecasting is an important area in data mining research. Feature preprocessing techniques have significant influence on forecasting accuracy, therefore are essential in a forecasting model. Although several feature preprocessing techniques have been applied in time series forecasting......, there is so far no systematic research to study and compare their performance. How to select effective techniques of feature preprocessing in a forecasting model remains a problem. In this paper, the authors conduct a comprehensive study of existing feature preprocessing techniques to evaluate their empirical...... performance in time series forecasting. It is demonstrated in our experiment that, effective feature preprocessing can significantly enhance forecasting accuracy. This research can be a useful guidance for researchers on effectively selecting feature preprocessing techniques and integrating them with time...

  2. Extraction of essential features by quantum density

    Science.gov (United States)

    Wilinski, Artur

    2016-09-01

    In this paper we consider the problem of feature extraction, as an essential and important search of dataset. This problem describe the real ownership of the signals and images. Searches features are often difficult to identify because of data complexity and their redundancy. Here is shown a method of finding an essential features groups, according to the defined issues. To find the hidden attributes we use a special algorithm DQAL with the quantum density for thej-th features from original data, that indicates the important set of attributes. Finally, they have been generated small sets of attributes for subsets with different properties of features. They can be used to the construction of a small set of essential features. All figures were made in Matlab6.

  3. Tongue Image Feature Extraction in TCM

    Institute of Scientific and Technical Information of China (English)

    LI Dong; DU Lian-xiang; LU Fu-ping; DU Jun-ping

    2004-01-01

    In this paper, digital image processing and computer vision techniques are applied to study tongue images for feature extraction with VC++ and Matlab. Extraction and analysis of the tongue surface features are based on shape, color, edge, and texture. The developed software has various functions and good user interface and is easy to use. Feature data for tongue image pattern recognition is provided, which form a sound basis for the future tongue image recognition.

  4. Flexible feature interface for multimedia sources

    Science.gov (United States)

    Coffland, Douglas R [Livermore, CA

    2009-06-09

    A flexible feature interface for multimedia sources system that includes a single interface for the addition of features and functions to multimedia sources and for accessing those features and functions from remote hosts. The interface utilizes the export statement: export "C" D11Export void FunctionName(int argc, char ** argv,char * result, SecureSession *ctrl) or the binary equivalent of the export statement.

  5. SIFT based algorithm for point feature tracking

    Directory of Open Access Journals (Sweden)

    Adrian BURLACU

    2007-12-01

    Full Text Available In this paper a tracking algorithm for SIFT features in image sequences is developed. For each point feature extracted using SIFT algorithm a descriptor is computed using information from its neighborhood. Using an algorithm based on minimizing the distance between two descriptors tracking point features throughout image sequences is engaged. Experimental results, obtained from image sequences that capture scaling of different geometrical type object, reveal the performances of the tracking algorithm.

  6. Classifying Genomic Sequences by Sequence Feature Analysis

    Institute of Scientific and Technical Information of China (English)

    Zhi-Hua Liu; Dian Jiao; Xiao Sun

    2005-01-01

    Traditional sequence analysis depends on sequence alignment. In this study, we analyzed various functional regions of the human genome based on sequence features, including word frequency, dinucleotide relative abundance, and base-base correlation. We analyzed the human chromosome 22 and classified the upstream,exon, intron, downstream, and intergenic regions by principal component analysis and discriminant analysis of these features. The results show that we could classify the functional regions of genome based on sequence feature and discriminant analysis.

  7. Five features for modelling augmented reality

    OpenAIRE

    Liang, Sha; Roast, Chris

    2014-01-01

    Augmented reality is growing rapidly and supports people in differ-ent fields such as education, design, navigation and medicine. However, there is limited discussion about the characteristic features of augmented reality and what is meant by the term. This paper presents five different features: changea-bility, synchronicity and instant, antecedent, partial one to one and hidden reali-ty. The explanation of each of these features is given follow a consistent struc-ture. The benefits of gener...

  8. Learning discriminative functional network features of schizophrenia

    Science.gov (United States)

    Gheiratmand, Mina; Rish, Irina; Cecchi, Guillermo; Brown, Matthew; Greiner, Russell; Bashivan, Pouya; Polosecki, Pablo; Dursun, Serdar

    2017-03-01

    Associating schizophrenia with disrupted functional connectivity is a central idea in schizophrenia research. However, identifying neuroimaging-based features that can serve as reliable "statistical biomarkers" of the disease remains a challenging open problem. We argue that generalization accuracy and stability of candidate features ("biomarkers") must be used as additional criteria on top of standard significance tests in order to discover more robust biomarkers. Generalization accuracy refers to the utility of biomarkers for making predictions about individuals, for example discriminating between patients and controls, in novel datasets. Feature stability refers to the reproducibility of the candidate features across different datasets. Here, we extracted functional connectivity network features from fMRI data at both high-resolution (voxel-level) and a spatially down-sampled lower-resolution ("supervoxel" level). At the supervoxel level, we used whole-brain network links, while at the voxel level, due to the intractably large number of features, we sampled a subset of them. We compared statistical significance, stability and discriminative utility of both feature types in a multi-site fMRI dataset, composed of schizophrenia patients and healthy controls. For both feature types, a considerable fraction of features showed significant differences between the two groups. Also, both feature types were similarly stable across multiple data subsets. However, the whole-brain supervoxel functional connectivity features showed a higher cross-validation classification accuracy of 78.7% vs. 72.4% for the voxel-level features. Cross-site variability and heterogeneity in the patient samples in the multi-site FBIRN dataset made the task more challenging compared to single-site studies. The use of the above methodology in combination with the fully data-driven approach using the whole brain information have the potential to shed light on "biomarker discovery" in schizophrenia.

  9. Extraction and assessment of chatter feature

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    Presents feature wavelet packets(FWP)a new method of chatter feature extraction in milling process based on wavelet packets transform(WPF)and using vibration signal.Studies the procedure of automatic feature selection for a given process.Establishes an exponential autoregressive(EAR)model to extract limit cycle behavior of chatter since chatter is a nonlinear oscillation with limit cycle.And gives a way to determine FWTsnumber,and experimental data to assess the effectiveness of the WPT feature extraction by unforced response of EAR model of reconstructed signal.

  10. Wilson’s disease: Atypical imaging features

    Directory of Open Access Journals (Sweden)

    Venugopalan Y Vishnu

    2016-10-01

    Full Text Available Wilson’s disease is a genetic movement disorder with characteristic clinical and imaging features. We report a 17- year-old boy who presented with sialorrhea, hypophonic speech, paraparesis with repeated falls and recurrent seizures along with cognitive decline. He had bilateral Kayser Flescher rings. Other than the typical features of Wilson’s disease in cranial MRI, there were extensive white matter signal abnormalities (T2 and FLAIR hyperintensities and gyriform contrast enhancement which are rare imaging features in Wilson's disease. A high index of suspicion is required to diagnose Wilson’s disease when atypical imaging features are present.

  11. Ontology patterns for complex topographic feature yypes

    Science.gov (United States)

    Varanka, Dalia E.

    2011-01-01

    Complex feature types are defined as integrated relations between basic features for a shared meaning or concept. The shared semantic concept is difficult to define in commonly used geographic information systems (GIS) and remote sensing technologies. The role of spatial relations between complex feature parts was recognized in early GIS literature, but had limited representation in the feature or coverage data models of GIS. Spatial relations are more explicitly specified in semantic technology. In this paper, semantics for topographic feature ontology design patterns (ODP) are developed as data models for the representation of complex features. In the context of topographic processes, component assemblages are supported by resource systems and are found on local landscapes. The topographic ontology is organized across six thematic modules that can account for basic feature types, resource systems, and landscape types. Types of complex feature attributes include location, generative processes and physical description. Node/edge networks model standard spatial relations and relations specific to topographic science to represent complex features. To demonstrate these concepts, data from The National Map of the U. S. Geological Survey was converted and assembled into ODP.

  12. Rapid Feature Extraction for Optical Character Recognition

    CERN Document Server

    Hossain, M Zahid; Yan, Hong

    2012-01-01

    Feature extraction is one of the fundamental problems of character recognition. The performance of character recognition system is depends on proper feature extraction and correct classifier selection. In this article, a rapid feature extraction method is proposed and named as Celled Projection (CP) that compute the projection of each section formed through partitioning an image. The recognition performance of the proposed method is compared with other widely used feature extraction methods that are intensively studied for many different scripts in literature. The experiments have been conducted using Bangla handwritten numerals along with three different well known classifiers which demonstrate comparable results including 94.12% recognition accuracy using celled projection.

  13. Study on fractal features of modulation signals

    Institute of Scientific and Technical Information of China (English)

    2001-01-01

    Based on fractal theory, the note presents a novel method of modulation signals classification that adopts box dimension and information dimension extracted from received signals as features of classification. These features contain the characteristics of magnitude, frequency and phase of signals, and collect discriminatory information among various modulation modes. They are effective features in classification sense, and are insensitive to noises interfering. The theoretical analysis also proves the above conclusion. The classifier design is very simple based on such features. The simulation results show that the performances of signal classification are superior.

  14. Genetic Feature Selection for Texture Classification

    Institute of Scientific and Technical Information of China (English)

    PAN Li; ZHENG Hong; ZHANG Zuxun; ZHANG Jianqing

    2004-01-01

    This paper presents a novel approach to feature subset selection using genetic algorithms. This approach has the ability to accommodate multiple criteria such as the accuracy and cost of classification into the process of feature selection and finds the effective feature subset for texture classification. On the basis of the effective feature subset selected, a method is described to extract the objects which are higher than their surroundings, such as trees or forest, in the color aerial images. The methodology presented in this paper is illustrated by its application to the problem of trees extraction from aerial images.

  15. Prominent feature selection of microarray data

    Institute of Scientific and Technical Information of China (English)

    Yihui Liu

    2009-01-01

    For wavelet transform, a set of orthogonal wavelet basis aims to detect the localized changing features contained in microarray data. In this research, we investigate the performance of the selected wavelet features based on wavelet detail coefficients at the second level and the third level. The genetic algorithm is performed to optimize wavelet detail coefficients to select the best discriminant features. Exper-iments are carried out on four microarray datasets to evaluate the performance of classification. Experimental results prove that wavelet features optimized from detail coefficients efficiently characterize the differences between normal tissues and cancer tissues.

  16. Automatic extraction of planetary image features

    Science.gov (United States)

    LeMoigne-Stewart, Jacqueline J. (Inventor); Troglio, Giulia (Inventor); Benediktsson, Jon A. (Inventor); Serpico, Sebastiano B. (Inventor); Moser, Gabriele (Inventor)

    2013-01-01

    A method for the extraction of Lunar data and/or planetary features is provided. The feature extraction method can include one or more image processing techniques, including, but not limited to, a watershed segmentation and/or the generalized Hough Transform. According to some embodiments, the feature extraction method can include extracting features, such as, small rocks. According to some embodiments, small rocks can be extracted by applying a watershed segmentation algorithm to the Canny gradient. According to some embodiments, applying a watershed segmentation algorithm to the Canny gradient can allow regions that appear as close contours in the gradient to be segmented.

  17. Distance-based features in pattern classification

    Directory of Open Access Journals (Sweden)

    Lin Wei-Yang

    2011-01-01

    Full Text Available Abstract In data mining and pattern classification, feature extraction and representation methods are a very important step since the extracted features have a direct and significant impact on the classification accuracy. In literature, numbers of novel feature extraction and representation methods have been proposed. However, many of them only focus on specific domain problems. In this article, we introduce a novel distance-based feature extraction method for various pattern classification problems. Specifically, two distances are extracted, which are based on (1 the distance between the data and its intra-cluster center and (2 the distance between the data and its extra-cluster centers. Experiments based on ten datasets containing different numbers of classes, samples, and dimensions are examined. The experimental results using naïve Bayes, k-NN, and SVM classifiers show that concatenating the original features provided by the datasets to the distance-based features can improve classification accuracy except image-related datasets. In particular, the distance-based features are suitable for the datasets which have smaller numbers of classes, numbers of samples, and the lower dimensionality of features. Moreover, two datasets, which have similar characteristics, are further used to validate this finding. The result is consistent with the first experiment result that adding the distance-based features can improve the classification performance.

  18. Desmoplastic fibroma of bone: MRI features

    Energy Technology Data Exchange (ETDEWEB)

    Vanhoenacker, F.M. [Department of Radiology, University Hospital Antwerp, Edegem (Belgium); Department of Radiology, AZ Sint Maarten, Duffel (Belgium); Hauben, E.; Van Marck, E. [Department of Pathology, University Hospital Antwerp, Edegem (Belgium); De Beuckeleer, L.H.; De Schepper, A.M. [Department of Radiology, University Hospital Antwerp, Edegem (Belgium); Willemen, D. [Department of Orthopaedic Surgery, AZ Sint Maarten, Duffel (Belgium)

    2000-03-30

    Desmoplastic fibroma of bone is a very rare benign tumor, which may be locally aggressive. In contrast to the well-documented radiological appearance, the literature on MR imaging features of this tumor is scarce. The MR imaging characteristics in our case are compared to those previously reported. Although there is a considerable overlap in the MR imaging features with other bone tumors, an interesting MR feature of desmoplastic fibroma is the presence of low to intermediate signal intensity foci on T2-weighted images, which radiographically does not correspond to calcifications. This feature may help narrow the differential diagnosis. (orig.)

  19. Genetic search feature selection for affective modeling

    DEFF Research Database (Denmark)

    Martínez, Héctor P.; Yannakakis, Georgios N.

    2010-01-01

    Automatic feature selection is a critical step towards the generation of successful computational models of affect. This paper presents a genetic search-based feature selection method which is developed as a global-search algorithm for improving the accuracy of the affective models built....... The method is tested and compared against sequential forward feature selection and random search in a dataset derived from a game survey experiment which contains bimodal input features (physiological and gameplay) and expressed pairwise preferences of affect. Results suggest that the proposed method...

  20. Principal Feature Analysis: A Multivariate Feature Selection Method for fMRI Data

    Directory of Open Access Journals (Sweden)

    Lijun Wang

    2013-01-01

    Full Text Available Brain decoding with functional magnetic resonance imaging (fMRI requires analysis of complex, multivariate data. Multivoxel pattern analysis (MVPA has been widely used in recent years. MVPA treats the activation of multiple voxels from fMRI data as a pattern and decodes brain states using pattern classification methods. Feature selection is a critical procedure of MVPA because it decides which features will be included in the classification analysis of fMRI data, thereby improving the performance of the classifier. Features can be selected by limiting the analysis to specific anatomical regions or by computing univariate (voxel-wise or multivariate statistics. However, these methods either discard some informative features or select features with redundant information. This paper introduces the principal feature analysis as a novel multivariate feature selection method for fMRI data processing. This multivariate approach aims to remove features with redundant information, thereby selecting fewer features, while retaining the most information.

  1. First class feature abstractions for product derivation

    NARCIS (Netherlands)

    Jansen, A.G.J.; Smedinga, R.; Gurp, J. van; Bosch, J.

    2004-01-01

    The authors have observed that large software systems are increasingly defined in terms of the features they implement. Consequently, there is a need to express the commonalities and variability between products of a product family in terms of features. Unfortunately, technology support for the earl

  2. Constraint solving for direct manipulation of features

    NARCIS (Netherlands)

    Lourenco, D.; Oliveira, P.; Noort, A.; Bidarra, R.

    2006-01-01

    In current commercial feature modeling systems, support for direct manipulation of features is not commonly available. This is partly due to the strong reliance of such systems on constraints, but also to the lack of speed of current constraint solvers. In this paper, an approach to the optimization

  3. Linguistic feature analysis for protein interaction extraction

    Directory of Open Access Journals (Sweden)

    Cornelis Chris

    2009-11-01

    Full Text Available Abstract Background The rapid growth of the amount of publicly available reports on biomedical experimental results has recently caused a boost of text mining approaches for protein interaction extraction. Most approaches rely implicitly or explicitly on linguistic, i.e., lexical and syntactic, data extracted from text. However, only few attempts have been made to evaluate the contribution of the different feature types. In this work, we contribute to this evaluation by studying the relative importance of deep syntactic features, i.e., grammatical relations, shallow syntactic features (part-of-speech information and lexical features. For this purpose, we use a recently proposed approach that uses support vector machines with structured kernels. Results Our results reveal that the contribution of the different feature types varies for the different data sets on which the experiments were conducted. The smaller the training corpus compared to the test data, the more important the role of grammatical relations becomes. Moreover, deep syntactic information based classifiers prove to be more robust on heterogeneous texts where no or only limited common vocabulary is shared. Conclusion Our findings suggest that grammatical relations play an important role in the interaction extraction task. Moreover, the net advantage of adding lexical and shallow syntactic features is small related to the number of added features. This implies that efficient classifiers can be built by using only a small fraction of the features that are typically being used in recent approaches.

  4. Analysis of The Features of Advertising English

    Institute of Scientific and Technical Information of China (English)

    王莉娜

    2010-01-01

    This paper presents an analytical study of the language features of English advertisements at morphology, syntax, and rhetorical devices. I hope that similarities and differences in advertising language features can be summarized and possible reasons will be given in the light of the meaning, and function of language.

  5. Special Issue “Feature Papers”

    Directory of Open Access Journals (Sweden)

    Michael Henson

    2015-02-01

    Full Text Available The Special Issue “Feature Papers” of the journal Processes aims to establish the scope of this new open access journal in chemical, biological, environmental, pharmaceutical, and material-process engineering, as well as the development of general process engineering methods. The Special Issue is available online at: http://www.mdpi.com/journal/processes/special_issues/feature-paper.[...

  6. Recognition of aircraft using HRR features

    NARCIS (Netherlands)

    Kossen, A.S.

    2008-01-01

    Automated target recognition (ATR) based on high resolution radar (HRR) features can be used to increase the confidence in aircraft class. Standard radar systems are not designed for performing classification and uses additional identification systems. It is shown that with the use of features the a

  7. Feature-Oriented Programming with Object Algebras

    NARCIS (Netherlands)

    Oliveira, B.C.d.S.; Storm, T. van der; Loh, A.; Cook, W.R.

    2013-01-01

    Object algebras are a new programming technique that enables a simple solution to basic extensibility and modularity issues in programming languages. While object algebras excel at defining modular features, the composition mechanisms for object algebras (and features) are still cumbersome and limite

  8. Demographic and clinical features of neuromyelitis optica

    DEFF Research Database (Denmark)

    Pandit, L.; Asgari, Nasrin; Apiwattanakul, M.

    2015-01-01

    The comparative clinical and demographic features of neuromyelitis optica (NMO) are not well known. In this review we analyzed peer-reviewed publications for incidence and prevalence, clinical phenotypes, and demographic features of NMO. Population-based studies from Europe, South East and Southe...

  9. Linear feature detection based on ridgelet

    Institute of Scientific and Technical Information of China (English)

    HOU; Biao; (侯彪); LIU; Fang; (刘芳); JIAO; Licheng; (焦李成)

    2003-01-01

    Linear feature detection is very important in image processing. The detection efficiency will directly affect the perfomance of pattern recognition and pattern classification. Based on the idea of ridgelet, this paper presents a new discrete localized ridgelet transform and a new method for detecting linear feature in anisotropic images. Experimental results prove the efficiency of the proposed method.

  10. Genetic search feature selection for affective modeling

    DEFF Research Database (Denmark)

    Martínez, Héctor P.; Yannakakis, Georgios N.

    2010-01-01

    Automatic feature selection is a critical step towards the generation of successful computational models of affect. This paper presents a genetic search-based feature selection method which is developed as a global-search algorithm for improving the accuracy of the affective models built...

  11. Graph-based features for texture discrimination

    NARCIS (Netherlands)

    Grigorescu, Cosmin; Petkov, Nikolay; Sanfeliu, A; Villanueva, JJ; Vanrell, M; Alquezar, R; Huang, T; Serra, J

    2000-01-01

    Graph-based features, such as the number of connected components, edges of a given orientation and vertices per unit area, and the number of vertices and pixels per connected component, are proposed for the analysis of textures which consist of structural elements. The proposed set of features is

  12. A new approach for detecting local features

    DEFF Research Database (Denmark)

    Nguyen, Phuong Giang; Andersen, Hans Jørgen

    2010-01-01

    Local features up to now are often mentioned in the meaning of interest points. A patch around each point is formed to compute descriptors or feature vectors. Therefore, in order to satisfy different invariant imaging conditions such as scales and viewpoints, an input image is often represented i...

  13. Some Linguistic Features in Advertising English

    Institute of Scientific and Technical Information of China (English)

    刘冰

    2009-01-01

    "Advertising" might be defined as any means of bringing information to the public for the purpose of drawing attention to manufactured goods, services, shops, or entertainments. Distinguished from other varieties like English in lit-erature, English in news and English in science, advertising English enjoys many other interesting features. This paper intends to discuss some linguistic features in Advertising English.

  14. Featureous: an Integrated Approach to Location, Analysis and Modularization of Features in Java Applications

    DEFF Research Database (Denmark)

    Olszak, Andrzej

    , it is essential that features are properly modularized within the structural organization of software systems. Nevertheless, in many object-oriented applications, features are not represented explicitly. Consequently, features typically end up scattered and tangled over multiple source code units...... methods is proposed, to enable large-scale feature-oriented quality assessment. Featureous is implemented as a plugin to the NetBeans IDE. This implementation was used to evaluate the constituent methods of Featureous by applying them to several medium and large open-source Java systems. The gathered...

  15. Carriers of the astronomical 2175 ? extinction feature

    Energy Technology Data Exchange (ETDEWEB)

    Bradley, J; Dai, Z; Ernie, R; Browning, N; Graham, G; Weber, P; Smith, J; Hutcheon, I; Ishii, H; Bajt, S; Floss, C; Stadermann, F

    2004-07-20

    The 2175 {angstrom} extinction feature is by far the strongest spectral signature of interstellar dust observed by astronomers. Forty years after its discovery the origin of the feature and the nature of the carrier remain controversial. The feature is enigmatic because although its central wavelength is almost invariant its bandwidth varies strongly from one sightline to another, suggesting multiple carriers or a single carrier with variable properties. Using a monochromated transmission electron microscope and valence electron energy-loss spectroscopy we have detected a 5.7 eV (2175 {angstrom}) feature in submicrometer-sized interstellar grains within interplanetary dust particles (IDPs) collected in the stratosphere. The carriers are organic carbon and amorphous silicates that are abundant and closely associated with one another both in IDPs and in the interstellar medium. Multiple carriers rather than a single carrier may explain the invariant central wavelength and variable bandwidth of the astronomical 2175 {angstrom} feature.

  16. Feature-Based Classification of Networks

    CERN Document Server

    Barnett, Ian; Kuijjer, Marieke L; Mucha, Peter J; Onnela, Jukka-Pekka

    2016-01-01

    Network representations of systems from various scientific and societal domains are neither completely random nor fully regular, but instead appear to contain recurring structural building blocks. These features tend to be shared by networks belonging to the same broad class, such as the class of social networks or the class of biological networks. At a finer scale of classification within each such class, networks describing more similar systems tend to have more similar features. This occurs presumably because networks representing similar purposes or constructions would be expected to be generated by a shared set of domain specific mechanisms, and it should therefore be possible to classify these networks into categories based on their features at various structural levels. Here we describe and demonstrate a new, hybrid approach that combines manual selection of features of potential interest with existing automated classification methods. In particular, selecting well-known and well-studied features that ...

  17. Classification Using Markov Blanket for Feature Selection

    DEFF Research Database (Denmark)

    Zeng, Yifeng; Luo, Jian

    2009-01-01

    Selecting relevant features is in demand when a large data set is of interest in a classification task. It produces a tractable number of features that are sufficient and possibly improve the classification performance. This paper studies a statistical method of Markov blanket induction algorithm...... induction as a feature selection method. In addition, we point out an important assumption behind the Markov blanket induction algorithm and show its effect on the classification performance....... for filtering features and then applies a classifier using the Markov blanket predictors. The Markov blanket contains a minimal subset of relevant features that yields optimal classification performance. We experimentally demonstrate the improved performance of several classifiers using a Markov blanket...

  18. Fall Detection Using Smartphone Audio Features.

    Science.gov (United States)

    Cheffena, Michael

    2016-07-01

    An automated fall detection system based on smartphone audio features is developed. The spectrogram, mel frequency cepstral coefficents (MFCCs), linear predictive coding (LPC), and matching pursuit (MP) features of different fall and no-fall sound events are extracted from experimental data. Based on the extracted audio features, four different machine learning classifiers: k-nearest neighbor classifier (k-NN), support vector machine (SVM), least squares method (LSM), and artificial neural network (ANN) are investigated for distinguishing between fall and no-fall events. For each audio feature, the performance of each classifier in terms of sensitivity, specificity, accuracy, and computational complexity is evaluated. The best performance is achieved using spectrogram features with ANN classifier with sensitivity, specificity, and accuracy all above 98%. The classifier also has acceptable computational requirement for training and testing. The system is applicable in home environments where the phone is placed in the vicinity of the user.

  19. Assessing Complexity Results in Feature Theories

    CERN Document Server

    Trautwein, M

    1995-01-01

    In this paper, we assess the complexity results of formalisms that describe the feature theories used in computational linguistics. We show that from these complexity results no immediate conclusions can be drawn about the complexity of the recognition problem of unification grammars using these feature theories. On the one hand, the complexity of feature theories does not provide an upper bound for the complexity of such unification grammars. On the other hand, the complexity of feature theories need not provide a lower bound. Therefore, we argue for formalisms that describe actual unification grammars instead of feature theories. Thus the complexity results of these formalisms judge upon the hardness of unification grammars in computational linguistics.

  20. Language identification using excitation source features

    CERN Document Server

    Rao, K Sreenivasa

    2015-01-01

    This book discusses the contribution of excitation source information in discriminating language. The authors focus on the excitation source component of speech for enhancement of language identification (LID) performance. Language specific features are extracted using two different modes: (i) Implicit processing of linear prediction (LP) residual and (ii) Explicit parameterization of linear prediction residual. The book discusses how in implicit processing approach, excitation source features are derived from LP residual, Hilbert envelope (magnitude) of LP residual and Phase of LP residual; and in explicit parameterization approach, LP residual signal is processed in spectral domain to extract the relevant language specific features. The authors further extract source features from these modes, which are combined for enhancing the performance of LID systems. The proposed excitation source features are also investigated for LID in background noisy environments. Each chapter of this book provides the motivatio...

  1. Face Recognition Based on Facial Features

    Directory of Open Access Journals (Sweden)

    Muhammad Sharif

    2012-08-01

    Full Text Available Commencing from the last decade several different methods have been planned and developed in the prospect of face recognition that is one of the chief stimulating zone in the area of image processing. Face recognitions processes have various applications in the prospect of security systems and crime investigation systems. The study is basically comprised of three phases, i.e., face detection, facial features extraction and face recognition. The first phase is the face detection process where region of interest i.e., features region is extracted. The 2nd phase is features extraction. Here face features i.e., eyes, nose and lips are extracted out commencing the extracted face area. The last module is the face recognition phase which makes use of the extracted left eye for the recognition purpose by combining features of Eigenfeatures and Fisherfeatures.

  2. Multifinger Feature Level Fusion Based Fingerprint Identification

    Directory of Open Access Journals (Sweden)

    Praveen N

    2012-12-01

    Full Text Available Fingerprint based authentication systems are one of the cost-effective biometric authentication techniques employed for personal identification. As the data base population increases, fast identification/recognition algorithms are required with high accuracy. Accuracy can be increased using multimodal evidences collected by multiple biometric traits. In this work, consecutive fingerprint images are taken, global singularities are located using directional field strength and their local orientation vector is formulated with respect to the base line of the finger. Featurelevel fusion is carried out and a 32 element feature template is obtained. A matching score is formulated for the identification and 100% accuracy was obtained for a database of 300 persons. The polygonal feature vector helps to reduce the size of the feature database from the present 70-100 minutiae features to just 32 features and also a lower matching threshold can be fixed compared to single finger based identification

  3. ECG Signal Feature Selection for Emotion Recognition

    Directory of Open Access Journals (Sweden)

    Lichen Xun

    2013-01-01

    Full Text Available This paper aims to study the selection of features based on ECG in emotion recognition. In the process of features selection, we start from existing feature selection algorithm, and pay special attention to some of the intuitive value on ECG waveform as well. Through the use of ANOVA and heuristic search, we picked out the different features to distinguish joy and pleasure these two emotions, then we combine this with pathological analysis of ECG signals by the view of the medical experts to discuss the logic corresponding relation between ECG waveform and emotion distinguish. Through experiment, using the method in this paper we only picked out five features and reached 92% of accuracy rate in the recognition of joy and pleasure.

  4. Finding curvilinear features in speckled images

    Science.gov (United States)

    Samadani, Ramin; Vesecky, John F.

    1990-01-01

    A method for finding curves in digital images with speckle noise is described. The solution method differs from standard linear convolutions followed by thresholds in that it explicitly allows curvature in the features. Maximum a posteriori (MAP) estimation is used, together with statistical models for the speckle noise and for the curve-generation process, to find the most probable estimate of the feature, given the image data. The estimation process is first described in general terms. Then, incorporation of the specific neighborhood system and a multiplicative noise model for speckle allows derivation of the solution, using dynamic programming, of the estimation problem. The detection of curvilinear features is considered separately. The detection results allow the determination of the minimal size of detectable feature. Finally, the estimation of linear features, followed by a detection step, is shown for computer-simulated images and for a SAR image of sea ice.

  5. Deep Feature Transfer Learning in Combination with Traditional Features Predicts Survival Among Patients with Lung Adenocarcinoma.

    Science.gov (United States)

    Paul, Rahul; Hawkins, Samuel H; Balagurunathan, Yoganand; Schabath, Matthew B; Gillies, Robert J; Hall, Lawrence O; Goldgof, Dmitry B

    2016-12-01

    Lung cancer is the most common cause of cancer-related deaths in the USA. It can be detected and diagnosed using computed tomography images. For an automated classifier, identifying predictive features from medical images is a key concern. Deep feature extraction using pretrained convolutional neural networks (CNNs) has recently been successfully applied in some image domains. Here, we applied a pretrained CNN to extract deep features from 40 computed tomography images, with contrast, of non-small cell adenocarcinoma lung cancer, and combined deep features with traditional image features and trained classifiers to predict short- and long-term survivors. We experimented with several pretrained CNNs and several feature selection strategies. The best previously reported accuracy when using traditional quantitative features was 77.5% (area under the curve [AUC], 0.712), which was achieved by a decision tree classifier. The best reported accuracy from transfer learning and deep features was 77.5% (AUC, 0.713) using a decision tree classifier. When extracted deep neural network features were combined with traditional quantitative features, we obtained an accuracy of 90% (AUC, 0.935) with the 5 best post-rectified linear unit features extracted from a vgg-f pretrained CNN and the 5 best traditional features. The best results were achieved with the symmetric uncertainty feature ranking algorithm followed by a random forests classifier.

  6. Robust feature-based object tracking

    Science.gov (United States)

    Han, Bing; Roberts, William; Wu, Dapeng; Li, Jian

    2007-04-01

    Object tracking is an important component of many computer vision systems. It is widely used in video surveillance, robotics, 3D image reconstruction, medical imaging, and human computer interface. In this paper, we focus on unsupervised object tracking, i.e., without prior knowledge about the object to be tracked. To address this problem, we take a feature-based approach, i.e., using feature points (or landmark points) to represent objects. Feature-based object tracking consists of feature extraction and feature correspondence. Feature correspondence is particularly challenging since a feature point in one image may have many similar points in another image, resulting in ambiguity in feature correspondence. To resolve the ambiguity, algorithms, which use exhaustive search and correlation over a large neighborhood, have been proposed. However, these algorithms incur high computational complexity, which is not suitable for real-time tracking. In contrast, Tomasi and Kanade's tracking algorithm only searches corresponding points in a small candidate set, which significantly reduces computational complexity; but the algorithm may lose track of feature points in a long image sequence. To mitigate the limitations of the aforementioned algorithms, this paper proposes an efficient and robust feature-based tracking algorithm. The key idea of our algorithm is as below. For a given target feature point in one frame, we first find a corresponding point in the next frame, which minimizes the sum-of-squared-difference (SSD) between the two points; then we test whether the corresponding point gives large value under the so-called Harris criterion. If not, we further identify a candidate set of feature points in a small neighborhood of the target point; then find a corresponding point from the candidate set, which minimizes the SSD between the two points. The algorithm may output no corresponding point due to disappearance of the target point. Our algorithm is capable of tracking

  7. Innovations in individual feature history management - The significance of feature-based temporal model

    Science.gov (United States)

    Choi, J.; Seong, J.C.; Kim, B.; Usery, E.L.

    2008-01-01

    A feature relies on three dimensions (space, theme, and time) for its representation. Even though spatiotemporal models have been proposed, they have principally focused on the spatial changes of a feature. In this paper, a feature-based temporal model is proposed to represent the changes of both space and theme independently. The proposed model modifies the ISO's temporal schema and adds new explicit temporal relationship structure that stores temporal topological relationship with the ISO's temporal primitives of a feature in order to keep track feature history. The explicit temporal relationship can enhance query performance on feature history by removing topological comparison during query process. Further, a prototype system has been developed to test a proposed feature-based temporal model by querying land parcel history in Athens, Georgia. The result of temporal query on individual feature history shows the efficiency of the explicit temporal relationship structure. ?? Springer Science+Business Media, LLC 2007.

  8. Separated Same Rectangle Feature for Face Detection

    Institute of Scientific and Technical Information of China (English)

    Yong-hee HONG; Hwan-ik CHUNG; Hern-soo HAHN

    2010-01-01

    The paper proposes a new method of "Separated Same Rectangle Feature (SSRF)" for face detection.Generally,Haar-Like feature is used to make an Adaboost training algorithm with strong classifier.Haar-like feature is composed of two or more attached same rectangles,Inefficiency of the Haar-like feature often results from two or more attached same rectangles.But the proposed SSRF are composed of two separated same rectangles.So,it is very flexible and detailed.Therefore it creates more accuate strong classifier than Haar-Like feature.SSRF uses integral image to reduce executive time.Haar-Iike feature calculates the sum of intensities of pixels on two or more rectangles.But SSRF always calculates the sum of in-tensities of pixels on only two rectangles.The weak classifier of Ada-boost algorithm based on SSRF is faster than one based an Haar-likefeature.In the experiment,we use 1 000 face images and 1 000non-face images for Adaboost training.The proposed SSRF shows about 0,9% higher accuracy than Haar-Iike features.

  9. Protein sequence classification using feature hashing.

    Science.gov (United States)

    Caragea, Cornelia; Silvescu, Adrian; Mitra, Prasenjit

    2012-06-21

    Recent advances in next-generation sequencing technologies have resulted in an exponential increase in the rate at which protein sequence data are being acquired. The k-gram feature representation, commonly used for protein sequence classification, usually results in prohibitively high dimensional input spaces, for large values of k. Applying data mining algorithms to these input spaces may be intractable due to the large number of dimensions. Hence, using dimensionality reduction techniques can be crucial for the performance and the complexity of the learning algorithms. In this paper, we study the applicability of feature hashing to protein sequence classification, where the original high-dimensional space is "reduced" by hashing the features into a low-dimensional space, using a hash function, i.e., by mapping features into hash keys, where multiple features can be mapped (at random) to the same hash key, and "aggregating" their counts. We compare feature hashing with the "bag of k-grams" approach. Our results show that feature hashing is an effective approach to reducing dimensionality on protein sequence classification tasks.

  10. Texture feature based liver lesion classification

    Science.gov (United States)

    Doron, Yeela; Mayer-Wolf, Nitzan; Diamant, Idit; Greenspan, Hayit

    2014-03-01

    Liver lesion classification is a difficult clinical task. Computerized analysis can support clinical workflow by enabling more objective and reproducible evaluation. In this paper, we evaluate the contribution of several types of texture features for a computer-aided diagnostic (CAD) system which automatically classifies liver lesions from CT images. Based on the assumption that liver lesions of various classes differ in their texture characteristics, a variety of texture features were examined as lesion descriptors. Although texture features are often used for this task, there is currently a lack of detailed research focusing on the comparison across different texture features, or their combinations, on a given dataset. In this work we investigated the performance of Gray Level Co-occurrence Matrix (GLCM), Local Binary Patterns (LBP), Gabor, gray level intensity values and Gabor-based LBP (GLBP), where the features are obtained from a given lesion`s region of interest (ROI). For the classification module, SVM and KNN classifiers were examined. Using a single type of texture feature, best result of 91% accuracy, was obtained with Gabor filtering and SVM classification. Combination of Gabor, LBP and Intensity features improved the results to a final accuracy of 97%.

  11. MRI features associated with acute appendicitis

    Energy Technology Data Exchange (ETDEWEB)

    Leeuwenburgh, Marjolein M.N. [University of Amsterdam, Department of Surgery, Academic Medical Center, Amsterdam (Netherlands); University of Amsterdam, Department of Radiology, Academic Medical Center, Amsterdam (Netherlands); Academic Medical Center, Department of Radiology (G1-223.1), Amsterdam (Netherlands); Jensch, Sebastiaan [Sint Lucas Andreas Hospital, Department of Radiology, Amsterdam (Netherlands); Gratama, Jan W.C. [Gelre Hospitals, Department of Radiology, Apeldoorn (Netherlands); Spilt, Aart [Kennemer Gasthuis, Department of Radiology, Haarlem (Netherlands); Wiarda, Bart M. [Alkmaar Medical Center, Department of Radiology, Alkmaar (Netherlands); Es, H.W. van [Sint Antonius Hospital, Department of Radiology, Nieuwegein (Netherlands); Cobben, Lodewijk P.J. [Haaglanden Medical Center, Department of Radiology, Leidschendam (Netherlands); Bossuyt, Patrick M.M. [University of Amsterdam, Department of Clinical Epidemiology, Academic Medical Center, Amsterdam (Netherlands); Boermeester, Marja A. [University of Amsterdam, Department of Surgery, Academic Medical Center, Amsterdam (Netherlands); Stoker, Jaap [University of Amsterdam, Department of Radiology, Academic Medical Center, Amsterdam (Netherlands); Collaboration: on behalf of the OPTIMAP study group

    2014-01-15

    To identify MRI features associated with appendicitis. Features expected to be associated with appendicitis were recorded in consensus by two expert radiologists on 223 abdominal MRIs in patients with suspected appendicitis. Nine MRI features were studied: appendix diameter >7 mm, appendicolith, peri-appendiceal fat infiltration, peri-appendiceal fluid, absence of gas in the appendix, appendiceal wall destruction, restricted diffusion of the appendiceal wall, lumen or focal fluid collections. Appendicitis was assigned as the final diagnosis in 117/223 patients. Associations between imaging features and appendicitis were evaluated with logistic regression analysis. All investigated features were significantly associated with appendicitis in univariate analysis. Combinations of two and three features were associated with a probability of appendicitis of 88 % and 92 %, respectively. In patients without any of the nine features, appendicitis was present in 2 % of cases. After multivariate analysis, only an appendix diameter >7 mm, peri-appendiceal fat infiltration and restricted diffusion of the appendiceal wall were significantly associated with appendicitis. The probability of appendicitis was 96 % in their presence and 2 % in their absence. An appendix diameter >7 mm, peri-appendiceal fat infiltration and restricted diffusion of the appendiceal wall have the strongest association with appendicitis on MRI. (orig.)

  12. Extracting Product Features from Chinese Product Reviews

    Directory of Open Access Journals (Sweden)

    Yahui Xi

    2013-12-01

    Full Text Available With the great development of e-commerce, the number of product reviews grows rapidly on the e-commerce websites. Review mining has recently received a lot of attention, which aims to discover the valuable information from the massive product reviews. Product feature extraction is one of the basic tasks of product review mining. Its effectiveness can influence significantly the performance of subsequent jobs. Double Propagation is a state-of-the-art technique in product feature extraction. In this paper, we apply the Double Propagation to the product feature exaction from Chinese product reviews and adopt some techniques to improve the precision and recall. First, indirect relations and verb product features are introduced to increase the recall. Second, when ranking candidate product features by using HITS, we expand the number of hubs by means of the dependency relation patterns between product features and opinion words to improve the precision. Finally, the Normalized Pattern Relevance is employed to filter the exacted product features. Experiments on diverse real-life datasets show promising results

  13. Detection and tracking of facial features

    Science.gov (United States)

    De Silva, Liyanage C.; Aizawa, Kiyoharu; Hatori, Mitsutoshi

    1995-04-01

    Detection and tracking of facial features without using any head mounted devices may become required in various future visual communication applications, such as teleconferencing, virtual reality etc. In this paper we propose an automatic method of face feature detection using a method called edge pixel counting. Instead of utilizing color or gray scale information of the facial image, the proposed edge pixel counting method utilized the edge information to estimate the face feature positions such as eyes, nose and mouth in the first frame of a moving facial image sequence, using a variable size face feature template. For the remaining frames, feature tracking is carried out alternatively using a method called deformable template matching and edge pixel counting. One main advantage of using edge pixel counting in feature tracking is that it does not require the condition of a high inter frame correlation around the feature areas as is required in template matching. Some experimental results are shown to demonstrate the effectiveness of the proposed method.

  14. Discriminative feature selection for visual tracking

    Science.gov (United States)

    Ma, Junkai; Luo, Haibo; Zhou, Wei; Song, Yingchao; Hui, Bin; Chang, Zheng

    2017-06-01

    Visual tracking is an important role in computer vision tasks. The robustness of tracking algorithm is a challenge. Especially in complex scenarios such as clutter background, illumination variation and appearance changes etc. As an important component in tracking algorithm, the appropriateness of feature is closed related to the tracking precision. In this paper, an online discriminative feature selection is proposed to provide the tracker the most discriminative feature. Firstly, a feature pool which contains different information of the image such as gradient, gray value and edge is built. And when every frame is processed during tracking, all of these features will be extracted. Secondly, these features are ranked depend on their discrimination between target and background and the highest scored feature is chosen to represent the candidate image patch. Then, after obtaining the tracking result, the target model will be update to adapt the appearance variation. The experiment show that our method is robust when compared with other state-of-the-art algorithms.

  15. Glacial Features (Point) - Quad 155 (DOVER WEST, NH)

    Data.gov (United States)

    University of New Hampshire — The Glacial Features (Point) layer describes point features associated with surficial geology. These glacial features include, but are not limited to, delta forsets,...

  16. Glacial Features (Point) - Quad 156 (DOVER EAST, NH-ME)

    Data.gov (United States)

    University of New Hampshire — The Glacial Features (Point) layer describes point features associated with surficial geology. These glacial features include, but are not limited to, delta forsets,...

  17. Glacial Features (Point) - Quad 186 (HAMPTON, NH-MA)

    Data.gov (United States)

    University of New Hampshire — The Glacial Features (Point) layer describes point features associated with surficial geology. These glacial features include, but are not limited to, delta forsets,...

  18. Glacial Features (Point) - Quad 167 (MT. PAWTUCKAWAY, NH)

    Data.gov (United States)

    University of New Hampshire — The Glacial Features (Point) layer describes point features associated with surficial geology. These glacial features include, but are not limited to, delta forsets,...

  19. Glacial Features (Point) - Quad 202 (NEWBURYPORT EAST, MA-NH)

    Data.gov (United States)

    University of New Hampshire — The Glacial Features (Point) layer describes point features associated with surficial geology. These glacial features include, but are not limited to, delta forsets,...

  20. Glacial Features (Point) - Quad 185 (EXETER, NH-MA)

    Data.gov (United States)

    University of New Hampshire — The Glacial Features (Point) layer describes point features associated with surficial geology. These glacial features include, but are not limited to, delta forsets,...

  1. Glacial Features (Point) - Quad 170 (PORTSMOUTH, NH-ME)

    Data.gov (United States)

    University of New Hampshire — The Glacial Features (Point) layer describes point features associated with surficial geology. These glacial features include, but are not limited to, delta forsets,...

  2. Discrete Feature Model (DFM) User Documentation

    Energy Technology Data Exchange (ETDEWEB)

    Geier, Joel (Clearwater Hardrock Consulting, Corvallis, OR (United States))

    2008-06-15

    This manual describes the Discrete-Feature Model (DFM) software package for modelling groundwater flow and solute transport in networks of discrete features. A discrete-feature conceptual model represents fractures and other water-conducting features around a repository as discrete conductors surrounded by a rock matrix which is usually treated as impermeable. This approximation may be valid for crystalline rocks such as granite or basalt, which have very low permeability if macroscopic fractures are excluded. A discrete feature is any entity that can conduct water and permit solute transport through bedrock, and can be reasonably represented as a piecewise-planar conductor. Examples of such entities may include individual natural fractures (joints or faults), fracture zones, and disturbed-zone features around tunnels (e.g. blasting-induced fractures or stress-concentration induced 'onion skin' fractures around underground openings). In a more abstract sense, the effectively discontinuous nature of pathways through fractured crystalline bedrock may be idealized as discrete, equivalent transmissive features that reproduce large-scale observations, even if the details of connective paths (and unconnected domains) are not precisely known. A discrete-feature model explicitly represents the fundamentally discontinuous and irregularly connected nature of systems of such systems, by constraining flow and transport to occur only within such features and their intersections. Pathways for flow and solute transport in this conceptualization are a consequence not just of the boundary conditions and hydrologic properties (as with continuum models), but also the irregularity of connections between conductive/transmissive features. The DFM software package described here is an extensible code for investigating problems of flow and transport in geological (natural or human-altered) systems that can be characterized effectively in terms of discrete features. With this

  3. ICA Feature Extraction—Framework and Application

    Institute of Scientific and Technical Information of China (English)

    DINGPeilu

    2003-01-01

    Independent component analysls(ICA) has been recently used to flnd representation of Images with neuro-physlologlcal plausibility.This paper extends it to the problem of extracting intrinsic fature from variety of data.We first propose a general framework of ICA feature extraction and compare it with the well-known principal component analysis(PCA) method.Furthermore,we explore the application of proposed framework on biometric data-both face image and voice signals,to derive representations that are suitable for personal recognitio.Experiment shows that these features are superior to those commonly used features.

  4. Stable Feature Selection for Biomarker Discovery

    CERN Document Server

    He, Zengyou

    2010-01-01

    Feature selection techniques have been used as the workhorse in biomarker discovery applications for a long time. Surprisingly, the stability of feature selection with respect to sampling variations has long been under-considered. It is only until recently that this issue has received more and more attention. In this article, we review existing stable feature selection methods for biomarker discovery using a generic hierarchal framework. We have two objectives: (1) providing an overview on this new yet fast growing topic for a convenient reference; (2) categorizing existing methods under an expandable framework for future research and development.

  5. Fingerprint Feature Extraction Based on Macroscopic Curvature

    Institute of Scientific and Technical Information of China (English)

    Zhang Xiong; He Gui-ming; Zhang Yun

    2003-01-01

    In the Automatic Fingerprint Identification System (AFIS), extracting the feature of fingerprint is very important. The local curvature of ridges of fingerprint is irregular, so people have the barrier to effectively extract the fingerprint curve features to describe fingerprint. This article proposes a novel algorithm; it embraces information of few nearby fingerprint ridges to extract a new characteristic which can describe the curvature feature of fingerprint. Experimental results show the algorithm is feasible, and the characteristics extracted by it can clearly show the inner macroscopic curve properties of fingerprint. The result also shows that this kind of characteristic is robust to noise and pollution.

  6. Fingerprint Feature Extraction Based on Macroscopic Curvature

    Institute of Scientific and Technical Information of China (English)

    Zhang; Xiong; He; Gui-Ming; 等

    2003-01-01

    In the Automatic Fingerprint Identification System(AFIS), extracting the feature of fingerprint is very important. The local curvature of ridges of fingerprint is irregular, so people have the barrier to effectively extract the fingerprint curve features to describe fingerprint. This article proposes a novel algorithm; it embraces information of few nearby fingerprint ridges to extract a new characterstic which can describe the curvature feature of fingerprint. Experimental results show the algorithm is feasible, and the characteristics extracted by it can clearly show the inner macroscopic curve properties of fingerprint. The result also shows that this kind of characteristic is robust to noise and pollution.

  7. CMB Cold Spot from Inflationary Feature Scattering

    CERN Document Server

    Wang, Yi

    2015-01-01

    We propose a "feature-scattering" mechanism to explain the cosmic microwave background cold spot seen from {\\it WMAP} and {\\it Planck} maps. If there are hidden features in the potential of multi-field inflation, the inflationary trajectory can be scattered by such features. The scattering is controlled by the amount of isocurvature fluctuations, and thus can be considered as a mechanism to convert isocurvature fluctuations into curvature fluctuations. This mechanism predicts localized cold spots (instead of hot ones) on the CMB. In addition, it may also bridge a connection between the cold spot and a dip on the CMB power spectrum at $\\ell \\sim 20$.

  8. Image fusion using sparse overcomplete feature dictionaries

    Energy Technology Data Exchange (ETDEWEB)

    Brumby, Steven P.; Bettencourt, Luis; Kenyon, Garrett T.; Chartrand, Rick; Wohlberg, Brendt

    2015-10-06

    Approaches for deciding what individuals in a population of visual system "neurons" are looking for using sparse overcomplete feature dictionaries are provided. A sparse overcomplete feature dictionary may be learned for an image dataset and a local sparse representation of the image dataset may be built using the learned feature dictionary. A local maximum pooling operation may be applied on the local sparse representation to produce a translation-tolerant representation of the image dataset. An object may then be classified and/or clustered within the translation-tolerant representation of the image dataset using a supervised classification algorithm and/or an unsupervised clustering algorithm.

  9. Multi-Feature Segmentation and Cluster based Approach for Product Feature Categorization

    Directory of Open Access Journals (Sweden)

    Bharat Singh

    2016-03-01

    Full Text Available At a recent time, the web has become a valuable source of online consumer review however as the number of reviews is growing in high speed. It is infeasible for user to read all reviews to make a valuable or satisfying decision because the same features, people can write it contrary words or phrases. To produce a useful summary of domain synonyms words and phrase, need to be a group into same feature group. We focus on feature-based opinion mining problem and this paper mainly studies feature based product categorization from the number of users - generated review available on the different website. First, a multi-feature segmentation method is proposed which segment multi-feature review sentences into the single feature unit. Second part of speech dictionary and context information is used to consider the irrelevant feature identification, sentiment words are used to identify the polarity of feature and finally an unsupervised clustering based product feature categorization method is proposed. Clustering is unsupervised machine learning approach that groups feature that have a high degree of similarity in a same cluster. The proposed approach provides satisfactory results and can achieve 100% average precision for clustering based product feature categorization task. This approach can be applicable to different product.

  10. Coral Reef Ecosystems Monitoring Feature Service

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Coral Reef Ecosystem Monitoring feature service hosted on ArcGIS Online provides access to data collected in the Mariana Archipelago by the Coral Reef Ecosystem...

  11. Seachable Solar Feature Catalogues in EGSO

    Science.gov (United States)

    Zharkova, V. V.; Aboudarham, J.; Zharkov, S. I.; Ipson, S. S.; Benkhalil, A. K.; Fuller, N.

    2004-12-01

    The searchable Solar Feature Catalogues (SFC) developed using automated pattern recognition techniques from digitized solar images are presented. The techniques were applied for detection of sunspots, active regions, filaments and line-on-sight magnetic neutral lines in the automatically standardized full disk solar images in Ca II K1, Ca II K3 and Ha taken at the Meudon Observatory and white light images and magnetograms from SOHO/MDI. The results of automated recognition were verified with the manual synoptic maps and available statistical data that revealed good detection accuracy. Based on the recognized parameters a structured database of the Solar Feature Catalogues was built on a mysql server for every feature and published with various pre-designed search pages on the Bradford University web site. The SFCs with 10 year coverage (1996-2005) is to be used for deeper investigation of the solar activity, activity feature classification and forecast.

  12. Infrared image mosaic using point feature operators

    Science.gov (United States)

    Huang, Zhen; Sun, Shaoyuan; Shen, Zhenyi; Hou, Junjie; Zhao, Haitao

    2016-10-01

    In this paper, we study infrared image mosaic around a single point of rotation, aiming at expanding the narrow view range of infrared images. We propose an infrared image mosaic method using point feature operators including image registration and image synthesis. Traditional mosaic algorithms usually use global image registration methods to extract the feature points in the global image, which cost too much time as well as considerable matching errors. To address this issue, we first roughly calculate the image shift amount using phase correlation and determine the overlap region between images, and then extract image features in overlap region, which shortens the registration time and increases the quality of feature points. We improve the traditional algorithm through increasing constraints of point matching based on prior knowledge of image shift amount based on which the weighted map is computed using fade in-out method. The experimental results verify that the proposed method has better real time performance and robustness.

  13. Parabolic Dunes Landform Features of Iowa

    Data.gov (United States)

    Iowa State University GIS Support and Research Facility — A landscape is a collection of land shapes or land forms. Landform Regions are a grouping of individual landscape features that have a common geomophology. In Iowa,...

  14. Automated Feature Extraction from Hyperspectral Imagery Project

    Data.gov (United States)

    National Aeronautics and Space Administration — The proposed activities will result in the development of a novel hyperspectral feature-extraction toolkit that will provide a simple, automated, and accurate...

  15. Human Face Recognition using Line Features

    CERN Document Server

    Bhowmik, Mrinal Kanti; Nasipuri, Mita; Basu, Dipak Kumar; Kundu, Mahantapas

    2010-01-01

    In this work we investigate a novel approach to handle the challenges of face recognition, which includes rotation, scale, occlusion, illumination etc. Here, we have used thermal face images as those are capable to minimize the affect of illumination changes and occlusion due to moustache, beards, adornments etc. The proposed approach registers the training and testing thermal face images in polar coordinate, which is capable to handle complicacies introduced by scaling and rotation. Line features are extracted from thermal polar images and feature vectors are constructed using these line. Feature vectors thus obtained passes through principal component analysis (PCA) for the dimensionality reduction of feature vectors. Finally, the images projected into eigenspace are classified using a multi-layer perceptron. In the experiments we have used Object Tracking and Classification Beyond Visible Spectrum (OTCBVS) database. Experimental results show that the proposed approach significantly improves the verificatio...

  16. Depressive features among adult patients receiving antiretroviral ...

    African Journals Online (AJOL)

    general population;[11] therefore, the disease burden of HIV/AIDS is ... Globally, it is estimated that depressive features occur in 15 - 36% of people suffering from chronic .... ageing exposes HIV/AIDS patients to an increased risk of common.

  17. Automated Feature Extraction from Hyperspectral Imagery Project

    Data.gov (United States)

    National Aeronautics and Space Administration — In response to NASA Topic S7.01, Visual Learning Systems, Inc. (VLS) will develop a novel hyperspectral plug-in toolkit for its award winning Feature AnalystREG...

  18. Breast Cancers Between Mammograms Have Aggressive Features

    Science.gov (United States)

    Breast cancers that are discovered in the period between regular screening mammograms—known as interval cancers—are more likely to have features associated with aggressive behavior and a poor prognosis than cancers found via screening mammograms.

  19. Wood recognition using image texture features.

    Directory of Open Access Journals (Sweden)

    Hang-jun Wang

    Full Text Available Inspired by theories of higher local order autocorrelation (HLAC, this paper presents a simple, novel, yet very powerful approach for wood recognition. The method is suitable for wood database applications, which are of great importance in wood related industries and administrations. At the feature extraction stage, a set of features is extracted from Mask Matching Image (MMI. The MMI features preserve the mask matching information gathered from the HLAC methods. The texture information in the image can then be accurately extracted from the statistical and geometrical features. In particular, richer information and enhanced discriminative power is achieved through the length histogram, a new histogram that embodies the width and height histograms. The performance of the proposed approach is compared to the state-of-the-art HLAC approaches using the wood stereogram dataset ZAFU WS 24. By conducting extensive experiments on ZAFU WS 24, we show that our approach significantly improves the classification accuracy.

  20. Paha Ridges Landform Features of Iowa

    Data.gov (United States)

    Iowa State University GIS Support and Research Facility — A landscape is a collection of land shapes or land forms. Landform regions are a grouping of individual landscape features that have a common geomophology. In Iowa,...

  1. Generalisation of Submarine Features on Nautical Charts

    Science.gov (United States)

    Guilbert, E.; Zhang, X.

    2012-07-01

    On most large scale and middle scale maps, relief is represented by contours and spot heights. In order to adapt the representation to the scale, the terrain is generalised either by smoothing or filtering the terrain model or by simplifying the contours. However this approach is not applicable to nautical chart construction where terrain features are selected according to their importance for navigation. This paper presents an approach for the consideration of feature attributes in the generalisation of a set of contours with respect to nautical chart constraints. Features are defined by sets of contours and a set of generalisation operators applied to features is presented. The definitions are introduced in a multi-agent system in order to perform automatic generalisation of a contour set. Results are discussed on a case study and directions for future work are presented.

  2. A description of ASL features in writing

    Directory of Open Access Journals (Sweden)

    Kimberly A. Wolbers

    2014-01-01

    Full Text Available Similar to second language students who embed features of their primary languages in the writing of their second languages, deaf and hard of hearing (d/hh writers utilize features of American Sign Language (ASL in their writing of English. The purpose of this study is to identify categories of language transfer, provide the prevalence of these transfer tendencies in the writings of 29 d/hh adolescents and describe whether language features are equally or differently responsive to instruction. Findings indicate six categories of language transfer in order of prevalence: unique glossing & substitution, adjectives, plurality & adverbs, topicalization, and conjunctions. ASL features, of both lexical and syntactical nature, appear to respond similarly to instruction.

  3. Constructive induction of features for planning

    Energy Technology Data Exchange (ETDEWEB)

    van Lent, M. [Univ. of Michigan, Ann Arbor, MI (United States)

    1996-12-31

    Constructive induction techniques use constructors to combine existing features into new features. Usually the goal is to improve the accuracy and/or efficiency of classification. An alternate use of new features is to create representations which allow planning in more efficient state spaces. An inefficient state space may be too fine grained, requiring deep search for plans with many steps, may be too fragmented, requiring separate plans for similar cases, or may be unfocused, resulting in poorly directed search. Modifying the representation with constructive induction can improve the state space and overcome these inefficiencies. Additionally, since most learning systems depend on good domain features, constructive induction will compliment the action of other algorithms.

  4. Laboratory arc furnace features interchangeable hearths

    Science.gov (United States)

    Armstrong, J. L.; Kruger, O. L.

    1967-01-01

    Laboratory arc furnace using rapidly interchangeable hearths gains considerable versatility in casting so that buttons or special shaped castings can be produced. It features a sight glass for observation.

  5. Feature Hepatitis: Hepatitis Symptoms, Diagnosis, Treatment & Prevention

    Science.gov (United States)

    ... Navigation Bar Home Current Issue Past Issues Feature Hepatitis Hepatitis: Symptoms, Diagnosis, Treatment & Prevention Past Issues / Spring 2009 ... No appetite Fever Headaches Diagnosis To check for hepatitis viruses, your doctor will test your blood. You ...

  6. Feature Hepatitis: Hepatitis Can Strike Anyone

    Science.gov (United States)

    ... Navigation Bar Home Current Issue Past Issues Feature Hepatitis Hepatitis Can Strike Anyone Past Issues / Spring 2009 Table ... from all walks of life are affected by hepatitis, especially hepatitis C, the most common form of ...

  7. Clustering Based Feature Learning on Variable Stars

    CERN Document Server

    Mackenzie, Cristóbal; Protopapas, Pavlos

    2016-01-01

    The success of automatic classification of variable stars strongly depends on the lightcurve representation. Usually, lightcurves are represented as a vector of many statistical descriptors designed by astronomers called features. These descriptors commonly demand significant computational power to calculate, require substantial research effort to develop and do not guarantee good performance on the final classification task. Today, lightcurve representation is not entirely automatic; algorithms that extract lightcurve features are designed by humans and must be manually tuned up for every survey. The vast amounts of data that will be generated in future surveys like LSST mean astronomers must develop analysis pipelines that are both scalable and automated. Recently, substantial efforts have been made in the machine learning community to develop methods that prescind from expert-designed and manually tuned features for features that are automatically learned from data. In this work we present what is, to our ...

  8. STUDY ON MORPHOLOGICAL FEATURES OF NODULAR HIDRADENOMA

    Directory of Open Access Journals (Sweden)

    Pushpa

    2015-06-01

    Full Text Available Study conducted in Government Villupuram medical college about morphological features of nodular hidradenoma by reviewing the hispathology slides of five cases in one year period. Analytical study done regarding the gender, age, and sites distribution of tumour and also variation in gross and histopatholgy features. OBJECTIVE : To describe and study the morphological features of Nodular Hidradenoma along with data on gender and age. Study on Sites and morphological features also included. MATERIALS AND METHOD: Retrospective evaluation of histopathological records duri ng the previous year 2013 - 2014 . The study was conducted in Tertiary care Teaching hospital , Government Villupuram Medical College, Villupuram. 5 cases of nodular hidradenoma were identified. Data on gender, age, C linical presentation, gross and microscopic findings with hematoxylin and eosin stains were collected. Histological slides were reviewed.

  9. Feature Extraction in Radar Target Classification

    Directory of Open Access Journals (Sweden)

    Z. Kus

    1999-09-01

    Full Text Available This paper presents experimental results of extracting features in the Radar Target Classification process using the J frequency band pulse radar. The feature extraction is based on frequency analysis methods, the discrete-time Fourier Transform (DFT and Multiple Signal Characterisation (MUSIC, based on the detection of Doppler effect. The analysis has turned to the preference of DFT with implemented Hanning windowing function. We assumed to classify targets-vehicles into two classes, the wheeled vehicle and tracked vehicle. The results show that it is possible to classify them only while moving. The feature of the class results from a movement of moving parts of the vehicle. However, we have not found any feature to classify the wheeled and tracked vehicles while non-moving, although their engines are on.

  10. REVERSE MODELING FOR CONIC BLENDING FEATURE

    Institute of Scientific and Technical Information of China (English)

    Fan Shuqian; Ke Yinglin

    2005-01-01

    A novel method to extract conic blending feature in reverse engineering is presented.Different from the methods to recover constant and variable radius blends from unorganized points, it contains not only novel segmentation and feature recognition techniques, but also bias corrected technique to capture more reliable distribution of feature parameters along the spine curve. The segmentation depending on point classification separates the points in the conic blend region from the input point cloud. The available feature parameters of the cross-sectional curves are extracted with the processes of slicing point clouds with planes, conic curve fitting, and parameters estimation and compensation. The extracted parameters and its distribution laws are refined according to statistic theory such as regression analysis and hypothesis test. The proposed method can accurately capture the original design intentions and conveniently guide the reverse modeling process. Application examples are presented to verify the high precision and stability of the proposed method.

  11. Community Detection in Networks with Node Features

    CERN Document Server

    Zhang, Yuan; Zhu, Ji

    2015-01-01

    Many methods have been proposed for community detection in networks, but most of them do not take into account additional information on the nodes that is often available in practice. In this paper, we propose a new joint community detection criterion that uses both the network edge information and the node features to detect community structures. One advantage our method has over existing joint detection approaches is the flexibility of learning the impact of different features which may differ across communities. Another advantage is the flexibility of choosing the amount of influence the feature information has on communities. The method is asymptotically consistent under the block model with additional assumptions on the feature distributions, and performs well on simulated and real networks.

  12. Speech emotion recognition with unsupervised feature learning

    Institute of Scientific and Technical Information of China (English)

    Zheng-wei HUANG; Wen-tao XUE; Qi-rong MAO

    2015-01-01

    Emotion-based features are critical for achieving high performance in a speech emotion recognition (SER) system. In general, it is difficult to develop these features due to the ambiguity of the ground-truth. In this paper, we apply several unsupervised feature learning algorithms (including K-means clustering, the sparse auto-encoder, and sparse restricted Boltzmann machines), which have promise for learning task-related features by using unlabeled data, to speech emotion recognition. We then evaluate the performance of the proposed approach and present a detailed analysis of the effect of two important factors in the model setup, the content window size and the number of hidden layer nodes. Experimental results show that larger content windows and more hidden nodes contribute to higher performance. We also show that the two-layer network cannot explicitly improve performance compared to a single-layer network.

  13. Schizophrenia classification using functional network features

    Science.gov (United States)

    Rish, Irina; Cecchi, Guillermo A.; Heuton, Kyle

    2012-03-01

    This paper focuses on discovering statistical biomarkers (features) that are predictive of schizophrenia, with a particular focus on topological properties of fMRI functional networks. We consider several network properties, such as node (voxel) strength, clustering coefficients, local efficiency, as well as just a subset of pairwise correlations. While all types of features demonstrate highly significant statistical differences in several brain areas, and close to 80% classification accuracy, the most remarkable results of 93% accuracy are achieved by using a small subset of only a dozen of most-informative (lowest p-value) correlation features. Our results suggest that voxel-level correlations and functional network features derived from them are highly informative about schizophrenia and can be used as statistical biomarkers for the disease.

  14. Feature point descriptors: infrared and visible spectra

    National Research Council Canada - National Science Library

    Ricaurte, Pablo; Chilán, Carmen; Aguilera-Carrasco, Cristhian A; Vintimilla, Boris X; Sappa, Angel D

    2014-01-01

    This manuscript evaluates the behavior of classical feature point descriptors when they are used in images from long-wave infrared spectral band and compare them with the results obtained in the visible spectrum...

  15. The Importance of Feature Selection in Classification

    Directory of Open Access Journals (Sweden)

    Mrs.K. Moni Sushma Deep

    2014-01-01

    Full Text Available Feature Selection is an important technique for classification for reducing the dimensionality of feature space and it removes redundant, irrelevant, or noisy data. In this paper the feature are selected based on the ranking methods.(1 Information Gain (IG attribute evaluation, (2 Gain Ratio (GR attribute evaluation, (3 Symmetrical Uncertainty (SU attribute evaluation. This paper evaluates the features which are derived from the 3 methods using supervised learning algorithms K-Nearest Neighbor and Naïve Bayes. The measures used for the classifier are True Positive, False Positive, Accuracy and they compared between the algorithm for experimental results. we have taken 2 data sets Pima and Wine from UCI Repository database.

  16. Lineated Inliers Landform Features of Iowa

    Data.gov (United States)

    Iowa State University GIS Support and Research Facility — A landscape is a collection of land shapes or land forms. Landform regions are a grouping of individual landscape features that have a common geomophology. In Iowa,...

  17. Lineated Ridges Landform Features of Iowa

    Data.gov (United States)

    Iowa State University GIS Support and Research Facility — A landscape is a collection of land shapes or land forms. Landform Regions are a grouping of individual landscape features that have a common geomophology. In Iowa,...

  18. [Major depression: features indicative of bipolarity?].

    Science.gov (United States)

    Azorin, J-M

    2011-12-01

    Several recent studies have shown that bipolar disorder is underdiagnosed in patients with major depression. Missing the diagnosis of a bipolar disorder may have serious and even occasionally fatal consequences for a patient with the disease. Moreover misdiagnosis may lead to inappropriate treatment and therefore contribute to worsening medical and functional prognosis. Although there are no pathognomonic characteristics of bipolar depression compared to unipolar depression, evidence-based findings suggest that some features may be indicative of bipolarity, in patients with depression. These features are related to clinical picture of depressive state, course of episode and illness, response to treatment, family history, comorbid conditions, as well as demographic and temperamental characteristics. Based on such features, some authors have proposed operationalized criteria or a diagnostic specific for bipolarity, to identify bipolar depression. Screening instruments may also be used, to facilitate early recognition. Validation studies of these diagnostic features and instruments are underway.

  19. ECG Feature Extraction Techniques - A Survey Approach

    CERN Document Server

    Karpagachelvi, S; Sivakumar, M

    2010-01-01

    ECG Feature Extraction plays a significant role in diagnosing most of the cardiac diseases. One cardiac cycle in an ECG signal consists of the P-QRS-T waves. This feature extraction scheme determines the amplitudes and intervals in the ECG signal for subsequent analysis. The amplitudes and intervals value of P-QRS-T segment determines the functioning of heart of every human. Recently, numerous research and techniques have been developed for analyzing the ECG signal. The proposed schemes were mostly based on Fuzzy Logic Methods, Artificial Neural Networks (ANN), Genetic Algorithm (GA), Support Vector Machines (SVM), and other Signal Analysis techniques. All these techniques and algorithms have their advantages and limitations. This proposed paper discusses various techniques and transformations proposed earlier in literature for extracting feature from an ECG signal. In addition this paper also provides a comparative study of various methods proposed by researchers in extracting the feature from ECG signal.

  20. Shapes and features of the primordial bispectrum

    Science.gov (United States)

    Gong, Jinn-Ouk; Palma, Gonzalo A.; Sypsas, Spyros

    2017-05-01

    If time-dependent disruptions from slow-roll occur during inflation, the correlation functions of the primordial curvature perturbation should have scale-dependent features, a case which is marginally supported from the cosmic microwave background (CMB) data. We offer a new approach to analyze the appearance of such features in the primordial bispectrum that yields new consistency relations and justifies the search of oscillating patterns modulated by orthogonal and local templates. Under the assumption of sharp features, we find that the cubic couplings of the curvature perturbation can be expressed in terms of the bispectrum in two specific momentum configurations, for example local and equilateral. This allows us to derive consistency relations among different bispectrum shapes, which in principle could be tested in future CMB surveys. Furthermore, based on the form of the consistency relations, we construct new two-parameter templates for features that include all the known shapes.

  1. Elderly fall detection using SIFT hybrid features

    Science.gov (United States)

    Wang, Xiaoxiao; Gao, Chao; Guo, Yongcai

    2015-10-01

    With the tendency of aging society, countries all over the world are dealing with the demographic change. Fall had been proven to be of the highest fatality rate among the elderly. To realize the elderly fall detection, the proposed algorithm used the hybrid feature. Based on the rate of centroid change, the algorithm adopted VEI to offer the posture feature, this combined motion feature with posture feature. The algorithm also took advantage of SIFT descriptor of VEI(V-SIFT) to show more details of behaviors with occlusion. An improved motion detection method was proposed to improve the accuracy of front-view motion detection. The experimental results on CASIA database and self-built database showed that the proposed approach has high efficiency and strong robustness which effectively improved the accuracy of fall detection.

  2. Ship Targets Discrimination Algorithm in SAR Images Based on Hu Moment Feature and Texture Feature

    Directory of Open Access Journals (Sweden)

    Liu Lei

    2016-01-01

    Full Text Available To discriminate the ship targets in SAR images, this paper proposed the method based on combination of Hu moment feature and texture feature. Firstly,7 Hu moment features should be extracted, while gray level co-occurrence matrix is then used to extract the features of mean, variance, uniformity, energy, entropy, inertia moment, correlation and differences. Finally the k-neighbour classifier was used to analysis the 15 dimensional feature vectors. The experimental results show that the method of this paper has a good effect.

  3. Feature representation of RGB-D images using joint spatial-depth feature pooling

    DEFF Research Database (Denmark)

    Pan, Hong; Olsen, Søren Ingvor; Zhu, Yaping

    2016-01-01

    utilizes depth information only to extract local features, without considering it to improve robustness and discriminability of the feature representation by merging depth cues into feature pooling. Spatial pyramid model (SPM) has become the standard protocol to split a 2D image plane into sub......-regions for feature pooling of RGB-D images. We argue that SPM may not be the optimal pooling scheme for RGB-D images, as it only pools features spatially and completely discards their depth topological structures. Instead, we propose a novel joint spatial-depth pooling (JSDP) scheme which further partitions SPM...

  4. New Spectral Features from Bound Dark Matter

    CERN Document Server

    Catena, Riccardo

    2016-01-01

    We demonstrate that dark matter particles gravitationally bound to the Earth can induce a characteristic nuclear recoil signal at low energies in direct detection experiments. The new spectral feature we predict can provide the ultimate smoking gun for dark matter discovery for experiments with positive signal but unclear background. The new feature is universal, in that the ratio of bound over halo dark matter event rates at detectors is independent of the dark matter-nucleon cross section.

  5. A computational model for feature binding

    Institute of Scientific and Technical Information of China (English)

    2008-01-01

    The "Binding Problem" is an important problem across many disciplines, including psychology, neuroscience, computational modeling, and even philosophy. In this work, we proposed a novel computational model, Bayesian Linking Field Model, for feature binding in visual perception, by combining the idea of noisy neuron model, Bayesian method, Linking Field Network and competitive mechanism. Simulation Experiments demonstrated that our model perfectly fulfilled the task of feature binding in visual perception and provided us some enlightening idea for future research.

  6. New Spectral Features from Bound Dark Matter

    DEFF Research Database (Denmark)

    Catena, Riccardo; Kouvaris, Chris

    2016-01-01

    We demonstrate that dark matter particles gravitationally bound to the Earth can induce a characteristic nuclear recoil signal at low energies in direct detection experiments. The new spectral feature we predict can provide the ultimate smoking gun for dark matter discovery for experiments...... with positive signal but unclear background. The new feature is universal, in that the ratio of bound over halo dark matter event rates at detectors is independent of the dark matter-nucleon cross section....

  7. New Spectral Features from Bound Dark Matter

    DEFF Research Database (Denmark)

    Catena, Riccardo; Kouvaris, Chris

    2016-01-01

    We demonstrate that dark matter particles gravitationally bound to the Earth can induce a characteristic nuclear recoil signal at low energies in direct detection experiments. The new spectral feature we predict can provide the ultimate smoking gun for dark matter discovery for experiments...... with positive signal but unclear background. The new feature is universal, in that the ratio of bound over halo dark matter event rates at detectors is independent of the dark matter-nucleon cross section....

  8. Identifying Image Manipulation Software from Image Features

    Science.gov (United States)

    2015-03-26

    an overview of the DCT based encoding process [5]. When an image is processed by lossless compression, a file’s size is reduced while still...IDENTIFYING IMAGE MANIPULATION SOFTWARE FROM IMAGE FEATURES THESIS Devlin T. Boyter, CPT, USA AFIT-ENG-MS-15-M-051 DEPARTMENT OF THE AIR FORCE AIR...to copyright protection in the United States. AFIT-ENG-MS-15-M-051 IDENTIFYING IMAGE MANIPULATION SOFTWARE FROM IMAGE FEATURES THESIS Presented to

  9. A computational model for feature binding

    Institute of Scientific and Technical Information of China (English)

    SHI ZhiWei; SHI ZhongZhi; LIU Xi; SHI ZhiPing

    2008-01-01

    The "Binding Problem" is an important problem across many disciplines, including psychology, neuroscience, computational modeling, and even philosophy. In this work, we proposed a novel computational model, Bayesian Linking Field Model, for feature binding in visual perception, by combining the idea of noisy neuron model, Bayesian method, Linking Field Network and competitive mechanism.Simulation Experiments demonstrated that our model perfectly fulfilled the task of feature binding in visual perception and provided us some enlightening idea for future research.

  10. Radiological features of mucocele of the appendix

    Energy Technology Data Exchange (ETDEWEB)

    Skaane, P.

    1988-12-01

    The clinical features of mucocele of the appendix are nonspecific, and a correct preoperative diagnosis based on abdominal pain, a palpable mass in the right lower quadrant, and conventional radiography is rare. The diagnosis of appendiceal mucocele has become easier with the utilisation of the recent imaging techniques ultrasonography and computed tomography. Six patients with mucocele of the appendix are presented, and the characteristic radiological features and differential diagnosis are discussed.

  11. Random Feature Maps for Dot Product Kernels

    OpenAIRE

    Kar, Purushottam; Karnick, Harish

    2012-01-01

    Approximating non-linear kernels using feature maps has gained a lot of interest in recent years due to applications in reducing training and testing times of SVM classifiers and other kernel based learning algorithms. We extend this line of work and present low distortion embeddings for dot product kernels into linear Euclidean spaces. We base our results on a classical result in harmonic analysis characterizing all dot product kernels and use it to define randomized feature maps into explic...

  12. Stylistic Features of English Public Speaking

    Institute of Scientific and Technical Information of China (English)

    YANG Xiao-hui

    2001-01-01

    Pubic speaking has syntactic, lexical, phonological and rhetorical features. The stylistic features of public speaking can be summarized as follows: The language used in public speaking is formal. Public speaking requires that the language and style be standard and neither too frozen nor too intimate. The use of rhetoric devices makes a speech effective and convincing. The delivering mode of a public speech has both the characteristics of oral English and written English.

  13. Dermatologic features of Smith-Magenis syndrome.

    Science.gov (United States)

    Guérin-Moreau, Morgane; Colin, Estelle; Nguyen, Sylvie; Andrieux, Joris; de Leersnyder, Hélène; Bonneau, Dominique; Martin, Ludovic

    2015-01-01

    Smith-Magenis syndrome (SMS) is characterized by distinctive facial and skeletal features, developmental delay, cognitive impairment, and behavioral abnormalities, including self-injurious behaviors. We aimed to investigate whether cutaneous features are common in SMS. We performed a complete skin examination in 20 young SMS patients. Skin features secondary to self-injurious behavior, such as bites, abrasions, dystrophic scars, limited spots of hyperkeratosis, anomalies of the nails, and whitlows, were found in the majority of patients. Acral pachydermia and fissured plantar keratoderma were common. Xerosis was constant and associated with extensive keratosis pilaris in the majority of patients. Dermatofibromas were frequent in older patients. The hair was dense and shiny, with an unusual hairline. Eyelash trichomegaly and heavy brows were common, as well as folliculitis on the back. The skin features of SMS have rarely been reported in the literature. Some of these are the consequence of neurobehavioral features, but some cutaneous features and abnormalities of appendages have not been reported in other related syndromes. Skin manifestations of SMS are varied, sometimes induced by self-injurious behavior and sometimes more specific. It remains to be determined whether the combination of the two kinds of signs could contribute to early diagnosis of the syndrome.

  14. Feature extraction for structural dynamics model validation

    Energy Technology Data Exchange (ETDEWEB)

    Hemez, Francois [Los Alamos National Laboratory; Farrar, Charles [Los Alamos National Laboratory; Park, Gyuhae [Los Alamos National Laboratory; Nishio, Mayuko [UNIV OF TOKYO; Worden, Keith [UNIV OF SHEFFIELD; Takeda, Nobuo [UNIV OF TOKYO

    2010-11-08

    This study focuses on defining and comparing response features that can be used for structural dynamics model validation studies. Features extracted from dynamic responses obtained analytically or experimentally, such as basic signal statistics, frequency spectra, and estimated time-series models, can be used to compare characteristics of structural system dynamics. By comparing those response features extracted from experimental data and numerical outputs, validation and uncertainty quantification of numerical model containing uncertain parameters can be realized. In this study, the applicability of some response features to model validation is first discussed using measured data from a simple test-bed structure and the associated numerical simulations of these experiments. issues that must be considered were sensitivity, dimensionality, type of response, and presence or absence of measurement noise in the response. Furthermore, we illustrate a comparison method of multivariate feature vectors for statistical model validation. Results show that the outlier detection technique using the Mahalanobis distance metric can be used as an effective and quantifiable technique for selecting appropriate model parameters. However, in this process, one must not only consider the sensitivity of the features being used, but also correlation of the parameters being compared.

  15. Generalized perceptual features for animal vocalization classification

    Science.gov (United States)

    Clemins, Patrick J.; Johnson, Michael T.

    2001-05-01

    Two sets of generalized, perceptual-based features are investigated for use in classifying animal vocalizations. Since many species, especially mammals, share similar physical sound perception mechanisms which vary in size, two features sets commonly used in human speech processing, mel-frequency cepstral coefficients (MFCCs) and perceptual linear prediction (PLP) analysis, are modified for use in other species. One modification made to the feature extraction process is incorporating the frequency range of hearing and length of the basilar membrane of the animal in order to correctly determine the width and location of the critical band filters used for signal processing. Experimentally determined critical bands (equivalent rectangular bandwidth) and equal loudness curves (audiograms) can also be incorporated directly into the feature extraction process. Experiments are performed on African elephant (Loxodonta africana) vocalizations using a hidden Markov model (HMM) based classifier showing increased classification accuracy when using features sets based on the specific animals perceptual abilities compared to the original human perception-based feature sets.

  16. Feature Vector Construction Method for IRIS Recognition

    Science.gov (United States)

    Odinokikh, G.; Fartukov, A.; Korobkin, M.; Yoo, J.

    2017-05-01

    One of the basic stages of iris recognition pipeline is iris feature vector construction procedure. The procedure represents the extraction of iris texture information relevant to its subsequent comparison. Thorough investigation of feature vectors obtained from iris showed that not all the vector elements are equally relevant. There are two characteristics which determine the vector element utility: fragility and discriminability. Conventional iris feature extraction methods consider the concept of fragility as the feature vector instability without respect to the nature of such instability appearance. This work separates sources of the instability into natural and encodinginduced which helps deeply investigate each source of instability independently. According to the separation concept, a novel approach of iris feature vector construction is proposed. The approach consists of two steps: iris feature extraction using Gabor filtering with optimal parameters and quantization with separated preliminary optimized fragility thresholds. The proposed method has been tested on two different datasets of iris images captured under changing environmental conditions. The testing results show that the proposed method surpasses all the methods considered as a prior art by recognition accuracy on both datasets.

  17. Ontology Based Feature Driven Development Life Cycle

    Directory of Open Access Journals (Sweden)

    Farheen Siddiqui

    2012-01-01

    Full Text Available The upcoming technology support for semantic web promises fresh directions for Software Engineering community. Also semantic web has its roots in knowledge engineering that provoke software engineers to look for application of ontology applications throughout the Software Engineering lifecycle. The internal components of a semantic web are "light weight", and may be of less quality standards than the externally visible modules. In fact the internal components are generated from external (ontological component. That's the reason agile development approaches such as feature driven development are suitable for applications internal component development. As yet there is no particular procedure that describes the role of ontology in FDD processes. Therefore we propose an ontology based feature driven development for semantic web application that can be used form application model development to feature design and implementation. Features are precisely defined in the OWL-based domain model. Transition from OWL based domain model to feature list is directly defined in transformation rules. On the other hand the ontology based overall model can be easily validated through automated tools. Advantages of ontology-based feature Driven development are also discussed.

  18. Interactive Inconsistency Fixing in Feature Modeling

    Institute of Scientific and Technical Information of China (English)

    王波; 熊英飞; 胡振江; 赵海燕; 张伟; 梅宏

    2014-01-01

    Feature models have been widely adopted to reuse the requirements of a set of similar products in a domain. In feature models’ construction, one basic task is to ensure the consistency of feature models, which often involves detecting and fixing of inconsistencies in feature models. While many approaches have been proposed, most of them focus on detecting inconsistencies rather than fixing inconsistencies. In this paper, we propose a novel dynamic-priority based approach to interactively fixing inconsistencies in feature models, and report an implementation of a system that not only automatically recommends a solution to fixing inconsistencies but also supports domain analysts to gradually reach the desirable solution by dynamically adjusting priorities of constraints. The key technical contribution is, as far as we are aware, the first application of the constraint hierarchy theory to feature modeling, where the degree of domain analysts’ confidence on constraints is expressed by using priority and inconsistencies are resolved by deleting one or more lower-priority constraints. Two case studies demonstrate the usability and scalability (effciency) of our new approach.

  19. Currency features for visually impaired people

    Science.gov (United States)

    Hyland, Sandra L.; Legge, Gordon E.; Shannon, Robert R.; Baer, Norbert S.

    1996-03-01

    The estimated 3.7 million Americans with low vision experience a uniquely difficult task in identifying the denominations of U.S. banknotes because the notes are remarkably uniform in size, color, and general design. The National Research Council's Committee on Currency Features Usable by the Visually Impaired assessed features that could be used by people who are visually disabled to distinguish currency from other documents and to denominate and authenticate banknotes using available technology. Variation of length and height, introduction of large numerals on a uniform, high-contrast background, use of different colors for each of the six denominations printed, and the introduction of overt denomination codes that could lead to development of effective, low-cost devices for examining banknotes were all deemed features available now. Issues affecting performance, including the science of visual and tactile perception, were addressed for these features, as well as for those features requiring additional research and development. In this group the committee included durable tactile features such as those printed with transparent ink, and the production of currency with holes to indicate denomination. Among long-range approaches considered were the development of technologically advanced devices and smart money.

  20. Simultaneous Channel and Feature Selection of Fused EEG Features Based on Sparse Group Lasso

    Directory of Open Access Journals (Sweden)

    Jin-Jia Wang

    2015-01-01

    Full Text Available Feature extraction and classification of EEG signals are core parts of brain computer interfaces (BCIs. Due to the high dimension of the EEG feature vector, an effective feature selection algorithm has become an integral part of research studies. In this paper, we present a new method based on a wrapped Sparse Group Lasso for channel and feature selection of fused EEG signals. The high-dimensional fused features are firstly obtained, which include the power spectrum, time-domain statistics, AR model, and the wavelet coefficient features extracted from the preprocessed EEG signals. The wrapped channel and feature selection method is then applied, which uses the logistical regression model with Sparse Group Lasso penalized function. The model is fitted on the training data, and parameter estimation is obtained by modified blockwise coordinate descent and coordinate gradient descent method. The best parameters and feature subset are selected by using a 10-fold cross-validation. Finally, the test data is classified using the trained model. Compared with existing channel and feature selection methods, results show that the proposed method is more suitable, more stable, and faster for high-dimensional feature fusion. It can simultaneously achieve channel and feature selection with a lower error rate. The test accuracy on the data used from international BCI Competition IV reached 84.72%.

  1. Simultaneous channel and feature selection of fused EEG features based on Sparse Group Lasso.

    Science.gov (United States)

    Wang, Jin-Jia; Xue, Fang; Li, Hui

    2015-01-01

    Feature extraction and classification of EEG signals are core parts of brain computer interfaces (BCIs). Due to the high dimension of the EEG feature vector, an effective feature selection algorithm has become an integral part of research studies. In this paper, we present a new method based on a wrapped Sparse Group Lasso for channel and feature selection of fused EEG signals. The high-dimensional fused features are firstly obtained, which include the power spectrum, time-domain statistics, AR model, and the wavelet coefficient features extracted from the preprocessed EEG signals. The wrapped channel and feature selection method is then applied, which uses the logistical regression model with Sparse Group Lasso penalized function. The model is fitted on the training data, and parameter estimation is obtained by modified blockwise coordinate descent and coordinate gradient descent method. The best parameters and feature subset are selected by using a 10-fold cross-validation. Finally, the test data is classified using the trained model. Compared with existing channel and feature selection methods, results show that the proposed method is more suitable, more stable, and faster for high-dimensional feature fusion. It can simultaneously achieve channel and feature selection with a lower error rate. The test accuracy on the data used from international BCI Competition IV reached 84.72%.

  2. Analytical Features: A Knowledge-Based Approach to Audio Feature Generation

    Directory of Open Access Journals (Sweden)

    Pachet François

    2009-01-01

    Full Text Available We present a feature generation system designed to create audio features for supervised classification tasks. The main contribution to feature generation studies is the notion of analytical features (AFs, a construct designed to support the representation of knowledge about audio signal processing. We describe the most important aspects of AFs, in particular their dimensional type system, on which are based pattern-based random generators, heuristics, and rewriting rules. We show how AFs generalize or improve previous approaches used in feature generation. We report on several projects using AFs for difficult audio classification tasks, demonstrating their advantage over standard audio features. More generally, we propose analytical features as a paradigm to bring raw signals into the world of symbolic computation.

  3. RESEARCH ON FEATURE POINTS EXTRACTION METHOD FOR BINARY MULTISCALE AND ROTATION INVARIANT LOCAL FEATURE DESCRIPTOR

    Directory of Open Access Journals (Sweden)

    Hongwei Ying

    2014-08-01

    Full Text Available An extreme point of scale space extraction method for binary multiscale and rotation invariant local feature descriptor is studied in this paper in order to obtain a robust and fast method for local image feature descriptor. Classic local feature description algorithms often select neighborhood information of feature points which are extremes of image scale space, obtained by constructing the image pyramid using certain signal transform method. But build the image pyramid always consumes a large amount of computing and storage resources, is not conducive to the actual applications development. This paper presents a dual multiscale FAST algorithm, it does not need to build the image pyramid, but can extract feature points of scale extreme quickly. Feature points extracted by proposed method have the characteristic of multiscale and rotation Invariant and are fit to construct the local feature descriptor.

  4. Novel acoustic features for speech emotion recognition

    Institute of Scientific and Technical Information of China (English)

    ROH Yong-Wan; KIM Dong-Ju; LEE Woo-Seok; HONG Kwang-Seok

    2009-01-01

    This paper focuses on acoustic features that effectively improve the recognition of emotion in human speech. The novel features in this paper are based on spectral-based entropy parameters such as fast Fourier transform (FFT) spectral entropy, delta FFT spectral entropy, Mel-frequency filter bank (MFB)spectral entropy, and Delta MFB spectral entropy. Spectral-based entropy features are simple. They reflect frequency characteristic and changing characteristic in frequency of speech. We implement an emotion rejection module using the probability distribution of recognized-scores and rejected-scores.This reduces the false recognition rate to improve overall performance. Recognized-scores and rejected-scores refer to probabilities of recognized and rejected emotion recognition results, respectively.These scores are first obtained from a pattern recognition procedure. The pattern recognition phase uses the Gaussian mixture model (GMM). We classify the four emotional states as anger, sadness,happiness and neutrality. The proposed method is evaluated using 45 sentences in each emotion for 30 subjects, 15 males and 15 females. Experimental results show that the proposed method is superior to the existing emotion recognition methods based on GMM using energy, Zero Crossing Rate (ZCR),linear prediction coefficient (LPC), and pitch parameters. We demonstrate the effectiveness of the proposed approach. One of the proposed features, combined MFB and delta MFB spectral entropy improves performance approximately 10% compared to the existing feature parameters for speech emotion recognition methods. We demonstrate a 4% performance improvement in the applied emotion rejection with low confidence score.

  5. Feature Profile Simulations and Finite Penetration Depth

    Science.gov (United States)

    Moroz, Paul; Moroz, Daniel

    2012-10-01

    In plasma materials processing, energetic ions, neutrals and UV photons typically penetrate deep inside solid materials breaking atomic bonds and displacing atoms on their paths. These important phenomena are rarely taken into consideration in processing simulation software, primarily because the proper penetration depths and the corresponding energy depositions, breaking bonds, and atom displacements are difficult and computationally expensive to compute. The FPS-3D feature profile simulator [1-2] is doing that computationally efficiently by utilizing tabulated results obtained with other methods. We discuss, compare, and present results of such simulations made with different methods, one of which is the molecular dynamics analysis. In general, molecular dynamics could be used for simulating materials processing, etching and deposition, but it is extremely computationally expensive to be used for large groups of atoms. In practice, molecular dynamics methods are too slow to be used for feature profile simulations. However, they could help in defining proper chemical reactions and corresponding rates to be used in an advanced feature profile simulator such as FPS-3D. We present results of FPS-3D simulations for Si and SiO2 etching in Ar/Cl2 and Ar/C4F6/O2 plasmas. [4pt] [1] P. Moroz, ``General Feature Profile Simulator FPS-3D,'' ECS Transactions, 35, 25 (2011). [0pt] [2] P. Moroz, ``Numerical Simulation of Feature Profile Evolution using FPS-3D,'' IEEE Transactions of Plasma Science, 39, 2804 (2011).

  6. Feature detection techniques for preprocessing proteomic data.

    Science.gov (United States)

    Sellers, Kimberly F; Miecznikowski, Jeffrey C

    2010-01-01

    Numerous gel-based and nongel-based technologies are used to detect protein changes potentially associated with disease. The raw data, however, are abundant with technical and structural complexities, making statistical analysis a difficult task. Low-level analysis issues (including normalization, background correction, gel and/or spectral alignment, feature detection, and image registration) are substantial problems that need to be addressed, because any large-level data analyses are contingent on appropriate and statistically sound low-level procedures. Feature detection approaches are particularly interesting due to the increased computational speed associated with subsequent calculations. Such summary data corresponding to image features provide a significant reduction in overall data size and structure while retaining key information. In this paper, we focus on recent advances in feature detection as a tool for preprocessing proteomic data. This work highlights existing and newly developed feature detection algorithms for proteomic datasets, particularly relating to time-of-flight mass spectrometry, and two-dimensional gel electrophoresis. Note, however, that the associated data structures (i.e., spectral data, and images containing spots) used as input for these methods are obtained via all gel-based and nongel-based methods discussed in this manuscript, and thus the discussed methods are likewise applicable.

  7. Breast Cancer Detection with Reduced Feature Set.

    Science.gov (United States)

    Mert, Ahmet; Kılıç, Niyazi; Bilgili, Erdem; Akan, Aydin

    2015-01-01

    This paper explores feature reduction properties of independent component analysis (ICA) on breast cancer decision support system. Wisconsin diagnostic breast cancer (WDBC) dataset is reduced to one-dimensional feature vector computing an independent component (IC). The original data with 30 features and reduced one feature (IC) are used to evaluate diagnostic accuracy of the classifiers such as k-nearest neighbor (k-NN), artificial neural network (ANN), radial basis function neural network (RBFNN), and support vector machine (SVM). The comparison of the proposed classification using the IC with original feature set is also tested on different validation (5/10-fold cross-validations) and partitioning (20%-40%) methods. These classifiers are evaluated how to effectively categorize tumors as benign and malignant in terms of specificity, sensitivity, accuracy, F-score, Youden's index, discriminant power, and the receiver operating characteristic (ROC) curve with its criterion values including area under curve (AUC) and 95% confidential interval (CI). This represents an improvement in diagnostic decision support system, while reducing computational complexity.

  8. Breast Cancer Detection with Reduced Feature Set

    Directory of Open Access Journals (Sweden)

    Ahmet Mert

    2015-01-01

    Full Text Available This paper explores feature reduction properties of independent component analysis (ICA on breast cancer decision support system. Wisconsin diagnostic breast cancer (WDBC dataset is reduced to one-dimensional feature vector computing an independent component (IC. The original data with 30 features and reduced one feature (IC are used to evaluate diagnostic accuracy of the classifiers such as k-nearest neighbor (k-NN, artificial neural network (ANN, radial basis function neural network (RBFNN, and support vector machine (SVM. The comparison of the proposed classification using the IC with original feature set is also tested on different validation (5/10-fold cross-validations and partitioning (20%–40% methods. These classifiers are evaluated how to effectively categorize tumors as benign and malignant in terms of specificity, sensitivity, accuracy, F-score, Youden’s index, discriminant power, and the receiver operating characteristic (ROC curve with its criterion values including area under curve (AUC and 95% confidential interval (CI. This represents an improvement in diagnostic decision support system, while reducing computational complexity.

  9. Feature subset selection based on relevance

    Science.gov (United States)

    Wang, Hui; Bell, David; Murtagh, Fionn

    In this paper an axiomatic characterisation of feature subset selection is presented. Two axioms are presented: sufficiency axiom—preservation of learning information, and necessity axiom—minimising encoding length. The sufficiency axiom concerns the existing dataset and is derived based on the following understanding: any selected feature subset should be able to describe the training dataset without losing information, i.e. it is consistent with the training dataset. The necessity axiom concerns the predictability and is derived from Occam's razor, which states that the simplest among different alternatives is preferred for prediction. The two axioms are then restated in terms of relevance in a concise form: maximising both the r( X; Y) and r( Y; X) relevance. Based on the relevance characterisation, four feature subset selection algorithms are presented and analysed: one is exhaustive and the remaining three are heuristic. Experimentation is also presented and the results are encouraging. Comparison is also made with some well-known feature subset selection algorithms, in particular, with the built-in feature selection mechanism in C4.5.

  10. Implicit and explicit features of paintings.

    Science.gov (United States)

    Marković, Slobodan; Radonjić, Ana

    2008-01-01

    Implicit features of the paintings are properties that are imposed by the observer (e.g. how pleasant, interesting, tense a painting appears), whereas explicit features refer to properties that can be directly perceived (form, color, depth, etc.). The aim of Experiments 1 and 2 was to investigate the underlying structure of implicit and explicit features of paintings using the factor analysis of elementary judgments. In the preliminary studies, representative sets of paintings and elementary implicit and explicit dimensions (in the form of bipolar scales) were selected. Four implicit factors were extracted: Regularity, Relaxation, Hedonic Tone and Arousal. Four explicit factors were extracted: Form, Color, Space and Complexity. The following significant correlations between implicit and explicit factors were obtained: Regularity-Form, Regularity-Space, Hedonic Tone-Form and Arousal-Complexity. In Experiment 3 the role of implicit and explicit factors in similarity-dissimilarity ratings was specified. Significant correlations between the position of paintings in MDS space and mean judgments of explicit factors Color, Space and Complexity and implicit factor Relaxation were obtained, suggesting that similarity ratings of paintings are primarily based on explicit features. The causal relation of explicit and implicit features is discussed.

  11. Statistical feature extraction based iris recognition system

    Indian Academy of Sciences (India)

    ATUL BANSAL; RAVINDER AGARWAL; R K SHARMA

    2016-05-01

    Iris recognition systems have been proposed by numerous researchers using different feature extraction techniques for accurate and reliable biometric authentication. In this paper, a statistical feature extraction technique based on correlation between adjacent pixels has been proposed and implemented. Hamming distance based metric has been used for matching. Performance of the proposed iris recognition system (IRS) has been measured by recording false acceptance rate (FAR) and false rejection rate (FRR) at differentthresholds in the distance metric. System performance has been evaluated by computing statistical features along two directions, namely, radial direction of circular iris region and angular direction extending from pupil tosclera. Experiments have also been conducted to study the effect of number of statistical parameters on FAR and FRR. Results obtained from the experiments based on different set of statistical features of iris images show thatthere is a significant improvement in equal error rate (EER) when number of statistical parameters for feature extraction is increased from three to six. Further, it has also been found that increasing radial/angular resolution,with normalization in place, improves EER for proposed iris recognition system

  12. The relationship between 2D static features and 2D dynamic features used in gait recognition

    Science.gov (United States)

    Alawar, Hamad M.; Ugail, Hassan; Kamala, Mumtaz; Connah, David

    2013-05-01

    In most gait recognition techniques, both static and dynamic features are used to define a subject's gait signature. In this study, the existence of a relationship between static and dynamic features was investigated. The correlation coefficient was used to analyse the relationship between the features extracted from the "University of Bradford Multi-Modal Gait Database". This study includes two dimensional dynamic and static features from 19 subjects. The dynamic features were compromised of Phase-Weighted Magnitudes driven by a Fourier Transform of the temporal rotational data of a subject's joints (knee, thigh, shoulder, and elbow). The results concluded that there are eleven pairs of features that are considered significantly correlated with (pgait signature using latent data.

  13. Improving Naive Bayes with Online Feature Selection for Quick Adaptation to Evolving Feature Usefulness

    Energy Technology Data Exchange (ETDEWEB)

    Pon, R K; Cardenas, A F; Buttler, D J

    2007-09-19

    The definition of what makes an article interesting varies from user to user and continually evolves even for a single user. As a result, for news recommendation systems, useless document features can not be determined a priori and all features are usually considered for interestingness classification. Consequently, the presence of currently useless features degrades classification performance [1], particularly over the initial set of news articles being classified. The initial set of document is critical for a user when considering which particular news recommendation system to adopt. To address these problems, we introduce an improved version of the naive Bayes classifier with online feature selection. We use correlation to determine the utility of each feature and take advantage of the conditional independence assumption used by naive Bayes for online feature selection and classification. The augmented naive Bayes classifier performs 28% better than the traditional naive Bayes classifier in recommending news articles from the Yahoo! RSS feeds.

  14. MRI features of tuberculosis of the knee

    Energy Technology Data Exchange (ETDEWEB)

    Sanghvi, Darshana A.; Iyer, Veena R.; Deshmukh, Tejaswini; Hoskote, Sumedh S. [Seth GS Medical College and KEM Hospital, Department of Radiology, Mumbai (India)

    2009-03-15

    The objective of this study was to describe the magnetic resonance imaging (MRI) features of tuberculosis (TB) of the knee joint. The MRI features in 15 patients with TB of the knee, as confirmed by histology of the biopsied joint synovium, were reviewed retrospectively. The images were assessed for intra-articular and peri-articular abnormalities. All patients had florid synovial proliferation. The proliferating synovium showed intermediate to low T2 signal intensity. In the patients who were administered intravenous contrast, the hypertrophic synovium was intensely enhancing. Marrow edema (n = 9), osteomyelitis (n = 4), cortical erosions (n = 5), myositis (n = 6), cellulitis (n = 2), abscesses (n = 3), and skin ulceration/sinus formation (n = 2) were seen in the adjacent bone and soft tissue. Synovial proliferation associated with tuberculous arthritis is typically hypointense on T2-weighted images. This appearance, in conjunction with other peri-articular MRI features described, can help in distinguishing TB arthritis from other proliferating synovial arthropathies. (orig.)

  15. Video salient event classification using audio features

    Science.gov (United States)

    Corchs, Silvia; Ciocca, Gianluigi; Fiori, Massimiliano; Gasparini, Francesca

    2014-03-01

    The aim of this work is to detect the events in video sequences that are salient with respect to the audio signal. In particular, we focus on the audio analysis of a video, with the goal of finding which are the significant features to detect audio-salient events. In our work we have extracted the audio tracks from videos of different sport events. For each video, we have manually labeled the salient audio-events using the binary markings. On each frame, features in both time and frequency domains have been considered. These features have been used to train different classifiers: Classification and Regression Trees, Support Vector Machine, and k-Nearest Neighbor. The classification performances are reported in terms of confusion matrices.

  16. Features of the Manufacturing Vision Development Process

    DEFF Research Database (Denmark)

    Dukovska-Popovska, Iskra; Riis, Jens Ove; Boer, Harry

    2005-01-01

    This paper discusses the key features of the process of Manufacturing Vision Development, a process that enables companies to develop their future manufacturing concept. The basis for the process is a generic five-phase methodology (Riis and Johansen, 2003) developed as a result of ten years...... of action research. The methodology recommends wide participation of people from different hierarchical and functional positions, who engage in a relatively short, playful and creative process and come up with a vision (concept) for the future manufacturing system in the company. Based on three case studies...... of companies going through the initial phases of the methodology, this research identified the key features of the Manufacturing Vision Development process. The paper elaborates the key features by defining them, discussing how and when they can appear, and how they influence the process....

  17. Solving jigsaw puzzles using image features

    DEFF Research Database (Denmark)

    Nielsen, Ture R.; Drewsen, Peter; Hansen, Klaus

    2008-01-01

    algorithm which exploits the divide and conquer paradigm to reduce the combinatorially complex problem by classifying the puzzle pieces and comparing pieces drawn from the same group. The paper includes a brief preliminary investigation of some image features used in the classification.......In this article, we describe a method for automatic solving of the jigsaw puzzle problem based on using image features instead of the shape of the pieces. The image features are used for obtaining an accurate measure for edge similarity to be used in a new edge matching algorithm. The algorithm...... is used in a general puzzle solving method which is based on a greedy algorithm previously proved successful. We have been able to solve computer generated puzzles of 320 pieces as well as a real puzzle of 54 pieces by exclusively using image information. Additionally, we investigate a new scalable...

  18. Coevolution of active vision and feature selection.

    Science.gov (United States)

    Floreano, Dario; Kato, Toshifumi; Marocco, Davide; Sauser, Eric

    2004-03-01

    We show that complex visual tasks, such as position- and size-invariant shape recognition and navigation in the environment, can be tackled with simple architectures generated by a coevolutionary process of active vision and feature selection. Behavioral machines equipped with primitive vision systems and direct pathways between visual and motor neurons are evolved while they freely interact with their environments. We describe the application of this methodology in three sets of experiments, namely, shape discrimination, car driving, and robot navigation. We show that these systems develop sensitivity to a number of oriented, retinotopic, visual-feature-oriented edges, corners, height, and a behavioral repertoire to locate, bring, and keep these features in sensitive regions of the vision system, resembling strategies observed in simple insects.

  19. Features in Saturn’s F Ring

    Science.gov (United States)

    Rehnberg, Morgan; Esposito, L. W.; Sremčević, M.; Meinke, B. K.

    2013-10-01

    We report on the results of 150 stellar occultations by the F ring of Saturn performed between 19 May 2005 and 2 July 2013 by the High Speed Photometer of the Cassini Ultraviolet Imaging Spectograph. A total of 56 statistically-significant features have been detected by an algorithm and visually confirmed. These features include unusually-shaped F ring cores and regions of increased density interpreted as clumps ("kittens"). We have measured approximate radial widths for features interpreted as clumps, which range from 0.17 to 1.17 kilometers. When fit to a cumulative size distribution, the power-law index of -1.80 is similar to the value of -1.49 determined by Meinke, et al. (2012).

  20. Exact feature probabilities in images with occlusion

    CERN Document Server

    Pitkow, Xaq

    2010-01-01

    To understand the computations of our visual system, it is important to understand also the natural environment it evolved to interpret. Unfortunately, existing models of the visual environment are either unrealistic or too complex for mathematical description. Here we describe a naturalistic image model and present a mathematical solution for the statistical relationships between the image features and model variables. The world described by this model is composed of independent, opaque, textured objects which occlude each other. This simple structure allows us to calculate the joint probability distribution of image values sampled at multiple arbitrarily located points, without approximation. This result can be converted into probabilistic relationships between observable image features as well as between the unobservable properties that caused these features, including object boundaries and relative depth. Using these results we explain the causes of a wide range of natural scene properties, including high...

  1. Palmprint Based Verification System Using SURF Features

    Science.gov (United States)

    Srinivas, Badrinath G.; Gupta, Phalguni

    This paper describes the design and development of a prototype of robust biometric system for verification. The system uses features extracted using Speeded Up Robust Features (SURF) operator of human hand. The hand image for features is acquired using a low cost scanner. The palmprint region extracted is robust to hand translation and rotation on the scanner. The system is tested on IITK database of 200 images and PolyU database of 7751 images. The system is found to be robust with respect to translation and rotation. It has FAR 0.02%, FRR 0.01% and accuracy of 99.98% and can be a suitable system for civilian applications and high-security environments.

  2. Face Recognition Based on Nonlinear Feature Approach

    Directory of Open Access Journals (Sweden)

    Eimad E.A. Abusham

    2008-01-01

    Full Text Available Feature extraction techniques are widely used to reduce the complexity high dimensional data. Nonlinear feature extraction via Locally Linear Embedding (LLE has attracted much attention due to their high performance. In this paper, we proposed a novel approach for face recognition to address the challenging task of recognition using integration of nonlinear dimensional reduction Locally Linear Embedding integrated with Local Fisher Discriminant Analysis (LFDA to improve the discriminating power of the extracted features by maximize between-class while within-class local structure is preserved. Extensive experimentation performed on the CMU-PIE database indicates that the proposed methodology outperforms Benchmark methods such as Principal Component Analysis (PCA, Fisher Discrimination Analysis (FDA. The results showed that 95% of recognition rate could be obtained using our proposed method.

  3. RHEOLOGY FEATURE OF SIMPLE METAL MELT

    Institute of Scientific and Technical Information of China (English)

    C.J. Sun; H.R. Geng; Y.S. Shen; X.Y. Teng; Z.X. Yang

    2007-01-01

    The rheology feature of Sb, Bi melt and alloys was studied using coaxial cylinder high-temperature viscometer. The results showed that the curve of torsion-rotational speed for Sb melt presents a linear relation in all measured temperature ranges, whereas for the Bi melt, the curve presents obvious non-Newtonian feature within the low temperature range and at relative high shear stress. The rheology feature of Sb80Bi20 and Sb20Bi80, alloy melts was well correlated with that of Sb and Bi, respectively. It is considered that the rheology behavior of Sb melt plays a crucial role in Sb80Bi20, alloy and that of Bi melt plays a crucial role in Sb20Bi80 alloy.

  4. Clinical and imaging features of fludarabine neurotoxicity.

    Science.gov (United States)

    Lee, Michael S; McKinney, Alexander M; Brace, Jeffrey R; Santacruz, Karen

    2010-03-01

    Neurotoxicity from intravenous fludarabine is a rare but recognized clinical entity. Its brain imaging features have not been extensively described. Three patients received 38.5 mg or 40 mg/m per day fludarabine in a 5-day intravenous infusion before bone marrow transplantation in treatment of hematopoietic malignancies. Several weeks later, each patient developed progressive neurologic decline, including retrogeniculate blindness, leading to coma and death. Brain MRI showed progressively enlarging but mild T2/FLAIR hyperintensities in the periventricular white matter. The lesions demonstrated restricted diffusion but did not enhance. Because the neurotoxicity of fludarabine appears long after exposure, neurologic decline in this setting is likely to be attributed to opportunistic disease. However, the imaging features are distinctive in their latency and in being mild relative to the profound clinical features. The safe dose of fludarabine in this context remains controversial.

  5. Musical Instrument Timbres Classification with Spectral Features

    Directory of Open Access Journals (Sweden)

    Agostini Giulio

    2003-01-01

    Full Text Available A set of features is evaluated for recognition of musical instruments out of monophonic musical signals. Aiming to achieve a compact representation, the adopted features regard only spectral characteristics of sound and are limited in number. On top of these descriptors, various classification methods are implemented and tested. Over a dataset of 1007 tones from 27 musical instruments, support vector machines and quadratic discriminant analysis show comparable results with success rates close to 70% of successful classifications. Canonical discriminant analysis never had momentous results, while nearest neighbours performed on average among the employed classifiers. Strings have been the most misclassified instrument family, while very satisfactory results have been obtained with brass and woodwinds. The most relevant features are demonstrated to be the inharmonicity, the spectral centroid, and the energy contained in the first partial.

  6. Musical Instrument Timbres Classification with Spectral Features

    Science.gov (United States)

    Agostini, Giulio; Longari, Maurizio; Pollastri, Emanuele

    2003-12-01

    A set of features is evaluated for recognition of musical instruments out of monophonic musical signals. Aiming to achieve a compact representation, the adopted features regard only spectral characteristics of sound and are limited in number. On top of these descriptors, various classification methods are implemented and tested. Over a dataset of 1007 tones from 27 musical instruments, support vector machines and quadratic discriminant analysis show comparable results with success rates close to 70% of successful classifications. Canonical discriminant analysis never had momentous results, while nearest neighbours performed on average among the employed classifiers. Strings have been the most misclassified instrument family, while very satisfactory results have been obtained with brass and woodwinds. The most relevant features are demonstrated to be the inharmonicity, the spectral centroid, and the energy contained in the first partial.

  7. Feature-aware natural texture synthesis

    KAUST Repository

    Wu, Fuzhang

    2014-12-04

    This article presents a framework for natural texture synthesis and processing. This framework is motivated by the observation that given examples captured in natural scene, texture synthesis addresses a critical problem, namely, that synthesis quality can be affected adversely if the texture elements in an example display spatially varied patterns, such as perspective distortion, the composition of different sub-textures, and variations in global color pattern as a result of complex illumination. This issue is common in natural textures and is a fundamental challenge for previously developed methods. Thus, we address it from a feature point of view and propose a feature-aware approach to synthesize natural textures. The synthesis process is guided by a feature map that represents the visual characteristics of the input texture. Moreover, we present a novel adaptive initialization algorithm that can effectively avoid the repeat and verbatim copying artifacts. Our approach improves texture synthesis in many images that cannot be handled effectively with traditional technologies.

  8. A Collection of Features for Semantic Graphs

    Energy Technology Data Exchange (ETDEWEB)

    Eliassi-Rad, T; Fodor, I K; Gallagher, B

    2007-05-02

    Semantic graphs are commonly used to represent data from one or more data sources. Such graphs extend traditional graphs by imposing types on both nodes and links. This type information defines permissible links among specified nodes and can be represented as a graph commonly referred to as an ontology or schema graph. Figure 1 depicts an ontology graph for data from National Association of Securities Dealers. Each node type and link type may also have a list of attributes. To capture the increased complexity of semantic graphs, concepts derived for standard graphs have to be extended. This document explains briefly features commonly used to characterize graphs, and their extensions to semantic graphs. This document is divided into two sections. Section 2 contains the feature descriptions for static graphs. Section 3 extends the features for semantic graphs that vary over time.

  9. Handwriting: Feature Correlation Analysis for Biometric Hashes

    Directory of Open Access Journals (Sweden)

    Ralf Steinmetz

    2004-04-01

    Full Text Available In the application domain of electronic commerce, biometric authentication can provide one possible solution for the key management problem. Besides server-based approaches, methods of deriving digital keys directly from biometric measures appear to be advantageous. In this paper, we analyze one of our recently published specific algorithms of this category based on behavioral biometrics of handwriting, the biometric hash. Our interest is to investigate to which degree each of the underlying feature parameters contributes to the overall intrapersonal stability and interpersonal value space. We will briefly discuss related work in feature evaluation and introduce a new methodology based on three components: the intrapersonal scatter (deviation, the interpersonal entropy, and the correlation between both measures. Evaluation of the technique is presented based on two data sets of different size. The method presented will allow determination of effects of parameterization of the biometric system, estimation of value space boundaries, and comparison with other feature selection approaches.

  10. Distinctive Feature Extraction for Indian Sign Language (ISL) Gesture using Scale Invariant Feature Transform (SIFT)

    Science.gov (United States)

    Patil, Sandeep Baburao; Sinha, G. R.

    2016-07-01

    India, having less awareness towards the deaf and dumb peoples leads to increase the communication gap between deaf and hard hearing community. Sign language is commonly developed for deaf and hard hearing peoples to convey their message by generating the different sign pattern. The scale invariant feature transform was introduced by David Lowe to perform reliable matching between different images of the same object. This paper implements the various phases of scale invariant feature transform to extract the distinctive features from Indian sign language gestures. The experimental result shows the time constraint for each phase and the number of features extracted for 26 ISL gestures.

  11. Distinctive Feature Extraction for Indian Sign Language (ISL) Gesture using Scale Invariant Feature Transform (SIFT)

    Science.gov (United States)

    Patil, Sandeep Baburao; Sinha, G. R.

    2017-02-01

    India, having less awareness towards the deaf and dumb peoples leads to increase the communication gap between deaf and hard hearing community. Sign language is commonly developed for deaf and hard hearing peoples to convey their message by generating the different sign pattern. The scale invariant feature transform was introduced by David Lowe to perform reliable matching between different images of the same object. This paper implements the various phases of scale invariant feature transform to extract the distinctive features from Indian sign language gestures. The experimental result shows the time constraint for each phase and the number of features extracted for 26 ISL gestures.

  12. Feature confirmation in object perception: Feature integration theory 26 years on from the Treisman Bartlett lecture.

    Science.gov (United States)

    Humphreys, Glyn W

    2016-10-01

    The Treisman Bartlett lecture, reported in the Quarterly Journal of Experimental Psychology in 1988, provided a major overview of the feature integration theory of attention. This has continued to be a dominant account of human visual attention to this day. The current paper provides a summary of the work reported in the lecture and an update on critical aspects of the theory as applied to visual object perception. The paper highlights the emergence of findings that pose significant challenges to the theory and which suggest that revisions are required that allow for (a) several rather than a single form of feature integration, (b) some forms of feature integration to operate preattentively, (c) stored knowledge about single objects and interactions between objects to modulate perceptual integration, (d) the application of feature-based inhibition to object files where visual features are specified, which generates feature-based spreading suppression and scene segmentation, and (e) a role for attention in feature confirmation rather than feature integration in visual selection. A feature confirmation account of attention in object perception is outlined.

  13. Feature extraction for magnetic domain images of magneto-optical recording films using gradient feature segmentation

    Science.gov (United States)

    Quanqing, Zhu; Xinsai, Wang; Xuecheng, Zou; Haihua, Li; Xiaofei, Yang

    2002-07-01

    In this paper, we present a method to realize feature extraction on low contrast magnetic domain images of magneto-optical recording films. The method is based on the following three steps: first, Lee-filtering method is adopted to realize pre-filtering and noise reduction; this is followed by gradient feature segmentation, which separates the object area from the background area; finally the common linking method is adopted and the characteristic parameters of magnetic domain are calculated. We describe these steps with particular emphasis on the gradient feature segmentation. The results show that this method has advantages over other traditional ones for feature extraction of low contrast images.

  14. DYNAMIC FEATURE SELECTION FOR WEB USER IDENTIFICATION ON LINGUISTIC AND STYLISTIC FEATURES OF ONLINE TEXTS

    Directory of Open Access Journals (Sweden)

    A. A. Vorobeva

    2017-01-01

    Full Text Available The paper deals with identification and authentication of web users participating in the Internet information processes (based on features of online texts.In digital forensics web user identification based on various linguistic features can be used to discover identity of individuals, criminals or terrorists using the Internet to commit cybercrimes. Internet could be used as a tool in different types of cybercrimes (fraud and identity theft, harassment and anonymous threats, terrorist or extremist statements, distribution of illegal content and information warfare. Linguistic identification of web users is a kind of biometric identification, it can be used to narrow down the suspects, identify a criminal and prosecute him. Feature set includes various linguistic and stylistic features extracted from online texts. We propose dynamic feature selection for each web user identification task. Selection is based on calculating Manhattan distance to k-nearest neighbors (Relief-f algorithm. This approach improves the identification accuracy and minimizes the number of features. Experiments were carried out on several datasets with different level of class imbalance. Experiment results showed that features relevance varies in different set of web users (probable authors of some text; features selection for each set of web users improves identification accuracy by 4% at the average that is approximately 1% higher than with the use of static set of features. The proposed approach is most effective for a small number of training samples (messages per user.

  15. Febrile Seizure: Demographic Features and Causative Factors

    OpenAIRE

    2012-01-01

    How to cite this article: Esmaili Gourabi H, Bidabadi E, Cheraghalipour  F, Aarabi  Y, Salamat F. Febrile Seizure: Demographic Features and Causative Factors. Iran J Child Neurol Autumn 2012; 6(4):33-37.Abstract Objective Because of geographical and periodical variation, we prompted to determine the demographic features and causative factors for febrile seizure in Rasht. Materials & Methods In this cross-sectional study, all 6–month- to 6-year-old children with the diagnosis of febrile s...

  16. Feature classification for tracking articulated surgical tools.

    Science.gov (United States)

    Reiter, Austin; Allen, Peter K; Zhao, Tao

    2012-01-01

    Tool tracking is an accepted capability for computer-aided surgical intervention which has numerous applications, both in robotic and manual minimally-invasive procedures. In this paper, we describe a tracking system which learns visual feature descriptors as class-specific landmarks on an articulated tool. The features are localized in 3D using stereo vision and are fused with the robot kinematics to track all of the joints of the dexterous manipulator. Experiments are performed using previously-collected porcine data from a surgical robot.

  17. Extraction of Facial Features from Color Images

    Directory of Open Access Journals (Sweden)

    J. Pavlovicova

    2008-09-01

    Full Text Available In this paper, a method for localization and extraction of faces and characteristic facial features such as eyes, mouth and face boundaries from color image data is proposed. This approach exploits color properties of human skin to localize image regions – face candidates. The facial features extraction is performed only on preselected face-candidate regions. Likewise, for eyes and mouth localization color information and local contrast around eyes are used. The ellipse of face boundary is determined using gradient image and Hough transform. Algorithm was tested on image database Feret.

  18. Mass wasting features in Juventae Chasma, Mars

    Science.gov (United States)

    Sarkar, Ranjan; Singh, Pragya; Porwal, Alok; Ganesh, Indujaa

    2016-07-01

    Introduction : We report mass-wasting features preserved as debris aprons from Juventae Chasma. Diverse lines of evidence and associated geomorphological features indicate that fluidized ice or water within the wall rocks of the chasma could be responsible for mobilizing the debris. Description : The distinctive features of the landslides in Juvenate Chasma are: (1) lack of a well-defined crown or a clear-cut section at their point of origin and instead the presence of amphitheatre-headed tributary canyons; (2) absence of slump blocks; (3) overlapping of debris aprons; (4) a variety of surface textures from fresh and grooved to degraded and chaotic; (5) rounded lobes of debris aprons; (6) large variation of sizes from small lumps (~0.52 m2) to large tongue shaped ones (~ 80 m2); (7) smaller average size of landslides as compared to other chasmas; and (8) occasional preservation of fresh surficial features indicating recent emplacement. Discussion : Amphitheatre-headed tributary canyons, which are formed due to ground water sapping, indicate that the same was responsible for wall-section collapse, although a structural control cannot be completely ruled out. The emplacement of the mass wasting features preferentially at the mouths of amphitheatre-headed tributary canyons along with the rounded flow fronts of the debris suggest fluids may have played a vital role in their emplacement. The mass-wasting features in Juventae Chasma are unique compared to other landslides in Valles Marineris despite commonalities such as the radial furrows, fan-shaped outlines, overlapping aprons and overtopped obstacles. The unique set of features and close association with amphitheatre-headed tributary canyons imply that the trigger of the landslides was not structural or tectonic but possibly weakness imparted by the presence of water or ice in the pore-spaces of the wall. Craters with fluidized ejecta blankets and scalloped depressions in the surrounding plateau also support this

  19. Large datasets: Segmentation, feature extraction, and compression

    Energy Technology Data Exchange (ETDEWEB)

    Downing, D.J.; Fedorov, V.; Lawkins, W.F.; Morris, M.D.; Ostrouchov, G.

    1996-07-01

    Large data sets with more than several mission multivariate observations (tens of megabytes or gigabytes of stored information) are difficult or impossible to analyze with traditional software. The amount of output which must be scanned quickly dilutes the ability of the investigator to confidently identify all the meaningful patterns and trends which may be present. The purpose of this project is to develop both a theoretical foundation and a collection of tools for automated feature extraction that can be easily customized to specific applications. Cluster analysis techniques are applied as a final step in the feature extraction process, which helps make data surveying simple and effective.

  20. Fusing Facial Features for Face Recognition

    Directory of Open Access Journals (Sweden)

    Jamal Ahmad Dargham

    2012-06-01

    Full Text Available Face recognition is an important biometric method because of its potential applications in many fields, such as access control, surveillance, and human-computer interaction. In this paper, a face recognition system that fuses the outputs of three face recognition systems based on Gabor jets is presented. The first system uses the magnitude, the second uses the phase, and the third uses the phase-weighted magnitude of the jets. The jets are generated from facial landmarks selected using three selection methods. It was found out that fusing the facial features gives better recognition rate than either facial feature used individually regardless of the landmark selection method.

  1. On the Identification of design Feature Characteristics

    DEFF Research Database (Denmark)

    Mortensen, Niels Henrik; Andreasen, Mogens Myrup

    1996-01-01

    to functionality and its production. Therefor a definition of features as relationships between product design characteristics and life system characteristics is proposed. The life phase systems are the systems which gradually realise the product life, e.g. the production system, the transport system......In this paper it is argued that the core of design features is design characteristics, i.e. the design attributes which define the design (the results from design work) and determine the behaviour. It is asserted that design involves work on entireties, e.g. shape detail, its contribution...

  2. Reverse Loop subdivision with sharp features

    Institute of Scientific and Technical Information of China (English)

    Zhao Mingxi; Ma Lizhuang; Mao Zhihong; Wu Xiaomao

    2006-01-01

    In this paper we introduce a new reverse Loop subdivision method. In contrast to current wavelets based Loop subdivision scheme, our method applies the same rules to both regular and extraordinary vertices and reconstructs the sharp features easily. Furthermore, our method runs faster because it does not need analysis and synthesis procedural. Our main goal is the design of a reverse subdivision method that can reconstruct the coarser mesh from a finer subdivision surface with sharp features for multiresolution representation. The proposed method only needs a little memory storage and brings little error, and it is easy to implement.

  3. Automatic Melody Generation System with Extraction Feature

    Science.gov (United States)

    Ida, Kenichi; Kozuki, Shinichi

    In this paper, we propose the melody generation system with the analysis result of an existing melody. In addition, we introduce the device that takes user's favor in the system. The melody generation is done by pitch's being arranged best on the given rhythm. The best standard is decided by using the feature element extracted from existing music by proposed method. Moreover, user's favor is reflected in the best standard by operating some of the feature element in users. And, GA optimizes the pitch array based on the standard, and achieves the system.

  4. A NOVEL FINGERPRINT RECOGNTION USING MINUTIAE FEATURES

    Directory of Open Access Journals (Sweden)

    S.UMA MAHESWARI

    2013-02-01

    Full Text Available Fingerprint Recognition has been widely used for personal authentication for several centuries. Most of these systems are based on minutiae features like ridge bifurcation and ridge ending. In this paper we present fingerprint recognition by using only ridge ending as the feature vector. A new model is proposed for both denoising and segmentation and the minutiae points are extracted directly from grayscale images without binarization ad thinning. Recognition is performed using classification ensembling with BPNN, SVM and KNN as classifiers. Experimental results obtained using FVC2004 database show that the proposed method works efficiently in a faster and improved manner.

  5. Temporal accumulation of oriented visual features

    DEFF Research Database (Denmark)

    Pugeault, Nicolas; Krüger, Norbert

    2011-01-01

    In this paper we present a framework for accumulating on-line a model of a moving object (e.g., when manipulated by a robot). The proposed scheme is based on Bayesian filtering of local features, filtering jointly position, orientation and appearance information. The work presented here is novel...... in two aspects: first, we use an estimation mechanism that updates iteratively not only geometrical information, but also appearance information. Second, we propose a probabilistic version of the classical n-scan criterion that allows us to select which features are preserved and which are discarded...

  6. Feature Level Clustering of Large Biometric Database

    CERN Document Server

    Mehrotra, Hunny; Radhika, V Bhawani; Majhi, Banshidhar; Gupta, Phalguni

    2010-01-01

    This paper proposes an efficient technique for partitioning large biometric database during identification. In this technique feature vector which comprises of global and local descriptors extracted from offline signature are used by fuzzy clustering technique to partition the database. As biometric features posses no natural order of sorting, thus it is difficult to index them alphabetically or numerically. Hence, some supervised criteria is required to partition the search space. At the time of identification the fuzziness criterion is introduced to find the nearest clusters for declaring the identity of query sample. The system is tested using bin-miss rate and performs better in comparison to traditional k-means approach.

  7. Hepatic CT image query using Gabor features

    Institute of Scientific and Technical Information of China (English)

    Chenguang Zhao(赵晨光); Hongyan Cheng(程红岩); Tiange Zhuang(庄天戈)

    2004-01-01

    A retrieval scheme for liver computerize tomography (CT) images based on Gabor texture is presented.For each hepatic CT image, we manually delineate abnormal regions within liver area. Then, a continuous Gabor transform is utilized to analyze the texture of the pathology bearing region and extract the corresponding feature vectors. For a given sample image, we compare its feature vector with those of other images. Similar images with the highest rank are retrieved. In experiments, 45 liver CT images are collected, and the effectiveness of Gabor texture for content based retrieval is verified.

  8. Design Features of Modern Mechanical Ventilators.

    Science.gov (United States)

    MacIntyre, Neil

    2016-12-01

    A positive-pressure breath ideally should provide a VT that is adequate for gas exchange and appropriate muscle unloading while minimizing any risk for injury or discomfort. The latest generation of ventilators uses sophisticated feedback systems to sculpt positive-pressure breaths according to patient effort and respiratory system mechanics. Currently, however, these new control strategies are not totally closed-loop systems. This is because the automatic input variables remain limited, some clinician settings are still required, and the specific features of the perfect breath design still are not entirely clear. Despite these limitations, there are some rationale for many of these newer feedback features.

  9. Random Feature Maps for Dot Product Kernels

    CERN Document Server

    Kar, Purushottam

    2012-01-01

    Approximating non-linear kernels using feature maps has gained a lot of interest in recent years due to applications in reducing training and testing times of SVM classifiers and other kernel based learning algorithms. We extend this line of work and present low distortion embeddings for dot product kernels into linear Euclidean spaces. We base our results on a classical result in harmonic analysis characterizing all dot product kernels and use it to define randomized feature maps into explicit low dimensional Euclidean spaces in which the native dot product provides an approximation to the dot product kernel with high confidence.

  10. English in Vietnam and Its Features

    Institute of Scientific and Technical Information of China (English)

    李琼璐; 张婷

    2014-01-01

    English spoken by people from different countries takes on different characteristics. Many linguists conducted researches on World Englishes. Focusing on the pronunciation,grammar, vocabulary and literature achievement, these studies present the target English’s environment and features. However,there is rare achievement of study.in English in Vietnam. Under the economy boom, Vietnamese government attached importance to the English education, which led to the wide utilization of English. This article analyzes English in Vietnam and its features,including pronunciation, grammar and vocabulary, in the hope of making complements to world Englishes.

  11. English in Vietnam and Its Features

    Institute of Scientific and Technical Information of China (English)

    李琼璐; 张婷

    2014-01-01

    English spoken by people from different countries takes on different characteristics. Many linguists conducted researches on World Englishes. Focusing on the pronunciation, grammar, vocabulary and literature achievement, these studies present the target English's environment and features. However, there is rare achievement of study.in English in Vietnam. Under the economy boom, Vietnamese government attached importance to the English education, which led to the wide utilization of English. This article analyzes English in Vietnam and its features , including pronunciation, grammar and vocabulary, in the hope of making complements to world Englishes.

  12. Feature Hashing for Large Scale Multitask Learning

    CERN Document Server

    Weinberger, Kilian; Attenberg, Josh; Langford, John; Smola, Alex

    2009-01-01

    Empirical evidence suggests that hashing is an effective strategy for dimensionality reduction and practical nonparametric estimation. In this paper we provide exponential tail bounds for feature hashing and show that the interaction between random subspaces is negligible with high probability. We demonstrate the feasibility of this approach with experimental results for a new use case -- multitask learning with hundreds of thousands of tasks.

  13. Modeling Course for Virtual University by Features

    Directory of Open Access Journals (Sweden)

    László Horváth

    2004-05-01

    Full Text Available Environments with large number of interrelated information uses several advanced concepts ascomputer description of different aspects of modeled objects in the form of feature basedmodels. In this case a set of features is defined then used for the purpose of modification of aninitial model to achieve a final model as a description of an instance of a well-defined complexobject from a real world environment. Utilization this approach and some relevant methodshave been investigated by the authors to establish course modeling in virtual universityenvironments. The main objective is definition generic model entities for courses and instancemodel entities for student course profiles. Course model entities describe virtual universityactivities. The modeling can be applied generally but it is being developed for the domain ofhigher education in virtual technologies. The paper introduces some virtual university relatedconcepts and the approach of the authors to virtual university. Following this feature drivenassociative model of virtual course developed by the authors is explained. Some issues aboutthe conceptualized application oriented virtual course features are discussed as a contributionto implementation of a virtual classroom model proposed by the authors. Finally, possibilitiesof integration of the university model with engineering modeling systems are discussed takinginto account present day virtual universities and possibilities to communicate with prospectivestudents both in professional design and home computer environments.

  14. Classifying Written Texts Through Rhythmic Features

    NARCIS (Netherlands)

    Balint, Mihaela; Dascalu, Mihai; Trausan-Matu, Stefan

    2016-01-01

    Rhythm analysis of written texts focuses on literary analysis and it mainly considers poetry. In this paper we investigate the relevance of rhythmic features for categorizing texts in prosaic form pertaining to different genres. Our contribution is threefold. First, we define a set of rhythmic featu

  15. Features in the Standard Model diphoton background

    CERN Document Server

    Bondarenko, Kyrylo; Ruchayskiy, Oleg; Shaposhnikov, Mikhail

    2016-01-01

    We argue that electromagnetic decays of energetic unflavoured neutral mesons, notably $\\eta$, mis-identified as single photons due to granularity of the electromagnetic calorimeter might create bump-like features in the diphoton invariant mass spectrum at different energies, including 750 GeV. We discuss what kind of additional analysis can exclude or confirm this hypothesis.

  16. Morphological features in children with autism

    NARCIS (Netherlands)

    Özgen, Mihriban Heval

    2008-01-01

    The central research aim in the present thesis was to extend the insight in several aspects of the role of the morphological features in autism. Clinical morphology might be used as a biomarker for ASD to reveal insight into the complexity of the disorder. In Chapter 1 current terminology and classi

  17. CENTRALIZED MANAGEMENT FEATURE OF THE CORPORATIVE GOVERNANCE

    OpenAIRE

    GABRIELA MARIAN; DANIEL BOTEZ

    2011-01-01

    The main form of organization of the economic activity in the world economy of the 21st century is the corporation. To provide success and efficient circulation of a capital, corporations must comply with the following features: investors responsibility, free transfer of capital, juridical personality, centralized management.

  18. Effective Preparation Program Features: A Literature Review

    Science.gov (United States)

    Crow, Gary M.; Whiteman, Rodney S.

    2016-01-01

    This article is a summary of a report prepared for the University Council for Educational Administration Program Improvement Project for the Wallace Foundation. This explores the research base for educational leadership preparation programs, specifically examining literature on program features. The review covers context, candidates, faculty,…

  19. On the Linguistic Features of Business English

    Institute of Scientific and Technical Information of China (English)

    许进

    2016-01-01

    Business English is an English variant used in international business activities for business purposes.This paper elabo-rates the linguistic features of business English from the aspects of phonetics,lexicology,syntax and text linguistics. This paper serves for helping learners and businessmen to understand business English and improve their language capacities in business practice.

  20. Writing Feature Articles with Intermediate Students

    Science.gov (United States)

    Morgan, Denise N.

    2010-01-01

    Students need regular opportunities to write expository text. However, focusing on report writing often leaves students without strong examples to study or analyze to guide and grow their own writing. Writing and studying feature articles, meant to inform and explain, can become an alternative to report writing, as they can easily be located in…

  1. Partial fingerprint matching based on SIFT Features

    Directory of Open Access Journals (Sweden)

    Ms. S.Malathi,

    2010-07-01

    Full Text Available Fingerprints are being extensively used for person identification in a number of commercial, civil, and forensic applications. The current Fingerprint matching technology is quite mature for matching full prints, matching partial fingerprints still needs lots of improvement. Most of the current fingerprint identification systems utilize features that are based on minutiae points and ridge patterns. The major challenges faced in partial fingerprint matching are the absence of sufficient minutiae features and other structures such as core and delta. However, this technology suffers from the problem of handling incomplete prints and often discards any partial fingerprints obtained. Recent research has begun to delve into the problems of latent or partial fingerprints. In this paper we present a novel approach for partial fingerprint matching scheme based on SIFT(Scale Invariant Feature Transform features and matching is achieved using a modified point matching process. Using Neurotechnology database, we demonstrate that the proposed method exhibits an improved performance when matching full print against partial print.

  2. [Canadian Literature. "Featuring: CanLit."

    Science.gov (United States)

    Haycock, Ken, Ed.; Haycock, Carol-Ann, Ed.

    1984-01-01

    The feature articles in this journal issue deal with various aspects of Canadian literature. The articles include: (1) a discussion of who's who and what's what in Canadian literature; (2) reviews of worthwhile but overlooked Canadian children's literature; (3) a list of resource guides to Canadian literature and a short quiz over famous first…

  3. Clinicopathologic features of hepatic diabetic microangiopathy

    Institute of Scientific and Technical Information of China (English)

    王征

    2012-01-01

    Objective To study the clinicopathological features of diabetic microangiopathy in liver and diabetic hepatosclerosis(DHS) of elderly male with type 2 diabetes mellitus(T2DM).Methods One hundred and twenty autopsy cases with T2DM (diabetic group) and contemporary 48 cases,non-diabetic

  4. Web Search Engines: Search Syntax and Features.

    Science.gov (United States)

    Ojala, Marydee

    2002-01-01

    Presents a chart that explains the search syntax, features, and commands used by the 12 most widely used general Web search engines. Discusses Web standardization, expanded types of content searched, size of databases, and search engines that include both simple and advanced versions. (LRW)

  5. Features Students Really Expect from Learning Analytics

    Science.gov (United States)

    Schumacher, Clara; Ifenthaler, Dirk

    2016-01-01

    In higher education settings more and more learning is facilitated through online learning environments. To support and understand students' learning processes better, learning analytics offers a promising approach. The purpose of this study was to investigate students' expectations toward features of learning analytics systems. In a first…

  6. Morphological features in children with autism

    NARCIS (Netherlands)

    Özgen, Mihriban Heval

    2008-01-01

    The central research aim in the present thesis was to extend the insight in several aspects of the role of the morphological features in autism. Clinical morphology might be used as a biomarker for ASD to reveal insight into the complexity of the disorder. In Chapter 1 current terminology and

  7. A Method for Model Checking Feature Interactions

    DEFF Research Database (Denmark)

    Pedersen, Thomas; Le Guilly, Thibaut; Ravn, Anders Peter

    2015-01-01

    This paper presents a method to check for feature interactions in a system assembled from independently developed concurrent processes as found in many reactive systems. The method combines and refines existing definitions and adds a set of activities. The activities describe how to populate the ...

  8. Arabic writer identification based on diacritic's features

    Science.gov (United States)

    Maliki, Makki; Al-Jawad, Naseer; Jassim, Sabah A.

    2012-06-01

    Natural languages like Arabic, Kurdish, Farsi (Persian), Urdu, and any other similar languages have many features, which make them different from other languages like Latin's script. One of these important features is diacritics. These diacritics are classified as: compulsory like dots which are used to identify/differentiate letters, and optional like short vowels which are used to emphasis consonants. Most indigenous and well trained writers often do not use all or some of these second class of diacritics, and expert readers can infer their presence within the context of the writer text. In this paper, we investigate the use of diacritics shapes and other characteristic as parameters of feature vectors for Arabic writer identification/verification. Segmentation techniques are used to extract the diacritics-based feature vectors from examples of Arabic handwritten text. The results of evaluation test will be presented, which has been carried out on an in-house database of 50 writers. Also the viability of using diacritics for writer recognition will be demonstrated.

  9. Features and heterogeneities in growing network models

    CERN Document Server

    Ferretti, Luca; Yang, Bin; Marmorini, Giacomo; Bianconi, Ginestra

    2011-01-01

    Many complex networks from the World-Wide-Web to biological networks are growing taking into account the heterogeneous features of the nodes. The feature of a node might be a discrete quantity such as a classification of a URL document as personal page, thematic website, news, blog, search engine, social network, ect. or the classification of a gene in a functional module. Moreover the feature of a node can be a continuous variable such as the position of a node in the embedding space. In order to account for these properties, in this paper we provide a generalization of growing network models with preferential attachment that includes the effect of heterogeneous features of the nodes. The main effect of heterogeneity is the emergence of an "effective fitness" for each class of nodes, determining the rate at which nodes acquire new links. Beyond the degree distribution, in this paper we give a full characterization of the other relevant properties of the model. We evaluate the clustering coefficient and show ...

  10. New Electrocardiographic Features in Brugada Syndrome

    Science.gov (United States)

    de Luna, Antonio B; García-Niebla, Javier; Baranchuk, Adrian

    2014-01-01

    Brugada syndrome is a genetically determined familial disease with autosomal dominant transmission and variable penetrance, conferring a predisposition to sudden cardiac death due to ventricular arrhythmias. The syndrome is characterized by a typical electrocardiographic pattern in the right precordial leads. This article will focus on the new electrocardiographic features recently agreed on by expert consensus helping to identify this infequent electrocardiographic pattern. PMID:24827804

  11. Corporate Features and Faith-Based Academies

    Science.gov (United States)

    Green, Elizabeth

    2009-01-01

    This article forms an introductory exploration into the relationship between corporate features and religious values in Academies sponsored by a Christian foundation. This is a theme which arose from research comprising the ethnography of a City Technology College (CTC) with a Christian ethos. The Christian foundation which sponsors the CTC also…

  12. FEATURES OF FORMATION OF REGIONAL CLUSTER STRUCTURES

    Directory of Open Access Journals (Sweden)

    Ekaterina V. Andreyeva

    2016-01-01

    Full Text Available In article is considered features of formation of cluster structures for increase of efficiency of economic entities and growth of investment and innovative appeal of the region. Cluster structures are described as a specialized product oriented commands, which were created for common decision making about production, nancial and organizational questions.

  13. Visualizing Meta-Features in Proteomic Maps

    Directory of Open Access Journals (Sweden)

    Lepouras George

    2011-07-01

    Full Text Available Abstract Background The steps of a high-throughput proteomics experiment include the separation, differential expression and mass spectrometry-based identification of proteins. However, the last and more challenging step is inferring the biological role of the identified proteins through their association with interaction networks, biological pathways, analysis of the effect of post-translational modifications, and other protein-related information. Results In this paper, we present an integrative visualization methodology that allows combining experimentally produced proteomic features with protein meta-features, typically coming from meta-analysis tools and databases, in synthetic Proteomic Feature Maps. Using three proteomics analysis scenarios, we show that the proposed visualization approach is effective in filtering, navigating and interacting with the proteomics data in order to address visually challenging biological questions. The novelty of our approach lies in the ease of integration of any user-defined proteomic features in easy-to-comprehend visual representations that resemble the familiar 2D-gel images, and can be adapted to the user's needs. The main capabilities of the developed VIP software, which implements the presented visualization methodology, are also highlighted and discussed. Conclusions By using this visualization and the associated VIP software, researchers can explore a complex heterogeneous proteomics dataset from different perspectives in order to address visually important biological queries and formulate new hypotheses for further investigation. VIP is freely available at http://pelopas.uop.gr/~egian/VIP/index.html.

  14. Language intensity as a sensationalistic news feature

    NARCIS (Netherlands)

    Burgers, C.; de Graaf, A.

    2011-01-01

    This article extends the definition of sensationalism to print media and argues that the use of intensifiers may be an aspect of sensationalism. In addition, this paper states that a perception of sensationalism is a mediating state which may be induced by the use of sensationalistic message feature

  15. Morphological features in children with autism

    NARCIS (Netherlands)

    Özgen, Mihriban Heval

    2008-01-01

    The central research aim in the present thesis was to extend the insight in several aspects of the role of the morphological features in autism. Clinical morphology might be used as a biomarker for ASD to reveal insight into the complexity of the disorder. In Chapter 1 current terminology and classi

  16. An empirical study of PHP feature usage

    NARCIS (Netherlands)

    M.A. Hills (Mark); P. Klint (Paul); J.J. Vinju (Jurgen)

    2013-01-01

    htmlabstractPHP is one of the most popular languages for server-side application development. The language is highly dynamic, providing programmers with a large amount of flexibility. However, these dynamic features also have a cost, making it difficult to apply traditional static analysis technique

  17. Learning Representative Features for Robot Topological Localization

    Directory of Open Access Journals (Sweden)

    Zeng-Shun Zhao

    2013-04-01

    Full Text Available This paper proposes a new method for mobile robots to recognize places with the use of a single camera and natural landmarks. In the learning stage, the robot is manually guided along a path. Video sequences are captured with a front‐facing camera. To reduce the perceptual alias of visual features, which are easily confused, we propose a modified visual feature descriptor which combines the dominant hue colour information with the local texture. A Location Features Vocabulary Model (LVFM is established for each individual location using an unsupervised learning algorithm. During the course of travelling, the robot employs each detected interest point to vote for the most likely place. The spatial relationships between the locations, modelled by the Hidden Markov Model (HMM, are exploited to increase the robustness of location recognition in cases of dynamic change or visual similarity. The proposed descriptors are compared with several state‐of‐the‐art descriptors including SIFT, colour SIFT, GLOH and SURF. Experiments show that both the LVFM based on the dominant Hue‐SIFT feature and the spatial relationships between the locations contribute considerably to the high recognition rate.

  18. Item Feature Effects in Evolution Assessment

    Science.gov (United States)

    Nehm, Ross H.; Ha, Minsu

    2011-01-01

    Despite concerted efforts by science educators to understand patterns of evolutionary reasoning in science students and teachers, the vast majority of evolution education studies have failed to carefully consider or control for item feature effects in knowledge measurement. Our study explores whether robust contextualization patterns emerge within…

  19. A Probe Into The Feature of Zhujiajiao

    Institute of Scientific and Technical Information of China (English)

    2004-01-01

    <正>Special appearanceAs an ancient town in the south of the Yangtze River, Zhujiajiao has its own peculiar appearance differing from its counterparts. Its feature is obvious with the town encircled by water and the urban area crisscrossed by rivers. The downtown area is linked by lanes, bridges, riverside comdors and courtyards.

  20. Reductio ad discrimen: Where features come from

    Directory of Open Access Journals (Sweden)

    Elizabeth Cowper

    2015-04-01

    Full Text Available This paper addresses two fundamental questions about the nature of formal features in phonology and morphosyntax: what is their expressive power, and where do they come from? To answer these questions, we begin with the most restrictive possible hypothesis (all features are privative, and are wholly dictated by Universal Grammar, with no room for cross-linguistic variation, and examine the extent to which empirical evidence from a variety of languages compels a retreat from this position. We argue that there is little to be gained by positing a universal set of specific features, and propose instead that the crucial contribution of UG is the language learner's ability to construct features by identifying correlations between contrasts at different levels of linguistic structure. This view resonates with current research on how the interaction between UG and external 'third factors' shapes the structure of language, while at the same time harking back to the Saussurean notion that contrast is the central function of linguistic representations.

  1. Multi Feature Content Based Image Retrieval

    Directory of Open Access Journals (Sweden)

    Rajshree S. Dubey,

    2010-09-01

    Full Text Available There are numbers of methods prevailing for Image Mining Techniques. This Paper includes the features of four techniques I,e Color Histogram, Color moment, Texture, and Edge Histogram Descriptor. The nature of the Image is basically based on the Human Perception of the Image. The Machine interpretation of the Image is based on the Contours and surfaces of the Images. The study of the Image Mining is a very challenging task because it involves the Pattern Recognition which is a very important tool for the Machine Vision system. A combination of four feature extraction methods namely color istogram, Color Moment, texture, and Edge Histogram Descriptor. There is a provision to add new features in future for better retrievalefficiency. In this paper the combination of the four techniques are used and the Euclidian distances are calculated of the every features are added and the averages are made .The user interface is provided by the Mat lab. The image properties analyzed in this work are by using computer vision and image processing algorithms. For colorthe histogram of images are computed, for texture co occurrence matrix based entropy, energy, etc, are calculated and for edge density it is Edge Histogram Descriptor (EHD that is found. For retrieval of images, the averages of the four techniques are made and the resultant Image is retrieved.

  2. Citing geospatial feature inventories with XML manifests

    Science.gov (United States)

    Bose, R.; McGarva, G.

    2006-12-01

    Today published scientific papers include a growing number of citations for online information sources that either complement or replace printed journals and books. We anticipate this same trend for cartographic citations used in the geosciences, following advances in web mapping and geographic feature-based services. Instead of using traditional libraries to resolve citations for print material, the geospatial citation life cycle will include requesting inventories of objects or geographic features from distributed geospatial data repositories. Using a case study from the UK Ordnance Survey MasterMap database, which is illustrative of geographic object-based products in general, we propose citing inventories of geographic objects using XML feature manifests. These manifests: (1) serve as a portable listing of sets of versioned features; (2) could be used as citations within the identification portion of an international geospatial metadata standard; (3) could be incorporated into geospatial data transfer formats such as GML; but (4) can be resolved only with comprehensive, curated repositories of current and historic data. This work has implications for any researcher who foresees the need to make or resolve references to online geospatial databases.

  3. Innovative safety features of the modular HTGR

    Energy Technology Data Exchange (ETDEWEB)

    Silady, F.A.; Simon, W.A.

    1992-04-01

    In this document the innovative safety features of the MHTGR are reviewed by examining the safety response to events challenging the functions relied on to retain radionuclides within the coated fuel particles. A broad range of challenges to core heat removal are examined, including a loss of helium pressure and a simultaneous loss of forced cool of the core.

  4. Extracting Conceptual Feature Structures from Text

    DEFF Research Database (Denmark)

    Andreasen, Troels; Bulskov, Henrik; Lassen, Tine;

    2011-01-01

    This paper describes an approach to indexing texts by their conceptual content using ontologies along with lexico-syntactic information and semantic role assignment provided by lexical resources. The conceptual content of meaningful chunks of text is transformed into conceptual feature structures...

  5. Web Search Engines: Search Syntax and Features.

    Science.gov (United States)

    Ojala, Marydee

    2002-01-01

    Presents a chart that explains the search syntax, features, and commands used by the 12 most widely used general Web search engines. Discusses Web standardization, expanded types of content searched, size of databases, and search engines that include both simple and advanced versions. (LRW)

  6. Imaging features of benign adrenal cysts

    Energy Technology Data Exchange (ETDEWEB)

    Sanal, Hatice Tuba [Department of Radiology, Gulhane Military Medical Academy, Ankara (Turkey)]. E-mail: tubasanal@yahoo.com; Kocaoglu, Murat [Department of Radiology, Gulhane Military Medical Academy, Ankara (Turkey); Yildirim, Duzgun [Department of Radiology, Gulhane Military Medical Academy, Ankara (Turkey); Bulakbasi, Nail [Department of Radiology, Gulhane Military Medical Academy, Ankara (Turkey); Guvenc, Inanc [Department of Radiology, Gulhane Military Medical Academy, Ankara (Turkey); Tayfun, Cem [Department of Radiology, Gulhane Military Medical Academy, Ankara (Turkey); Ucoz, Taner [Department of Radiology, Gulhane Military Medical Academy, Ankara (Turkey)

    2006-12-15

    Benign adrenal gland cysts (BACs) are rare lesions with a variable histological spectrum and may mimic not only each other but also malignant ones. We aimed to review imaging features of BACs which can be helpful in distinguishing each entity and determining the subsequent appropriate management.

  7. Introduction: Optical trapping and applications feature issue.

    Science.gov (United States)

    López-Mariscal, Carlos; McGloin, David

    2013-01-01

    The editors introduce the Biomedical Optics Express feature issue on "Optical Trapping and Applications." The works presented in the papers within this issue include were the focus of the third OTA Topical Meeting that was held on April 14-18, 2013, in Waikoloa, Hawaii.

  8. Invariant properties between stroke features in handwriting

    NARCIS (Netherlands)

    Teulings, H L; Schomaker, L R

    1993-01-01

    A handwriting pattern is considered as a sequence of ballistic strokes. Replications of a pattern may be generated from a single, higher-level memory representation, acting as a motor program. Therefore, those stroke features which show the most invariant pattern are probably related to the paramete

  9. On Features of EST and Its Translation

    Institute of Scientific and Technical Information of China (English)

    易高燕

    2009-01-01

    The study of translation has always been emphasizing the translation of literature, therefore, the translation of EST (English for science and technology), which is a special style or genre of English, doesn't get enough attention yet. This thesis attempts to discuss the translation of English for science and technology, and its features.

  10. Diffuse plexiform neurofibroma with unusual features

    Directory of Open Access Journals (Sweden)

    Raghu T

    2003-03-01

    Full Text Available A 52 and 15-year-old father and son respectively presented with multiple neurofibromas. On detailed examination diffuse plexiform neurofibroma was noticed in son. Its presence over the lower extremity (a rare site, genu valgum deformity and splenic hamartoma were the interesting features in our case.

  11. Diffuse plexiform neurofibroma with unusual features

    Directory of Open Access Journals (Sweden)

    Raghu T

    2003-01-01

    Full Text Available A 52 and 15-year-old father and son respectively presented with multiple neurofibromas. On detailed examination diffuse plexiform neurofibroma was noticed in son. Its presence over the lower extremity (a rare site, genu valgum deformity and splenic hamartoma were the interesting features in our case.

  12. Using Feature Films to Teach Group Counseling.

    Science.gov (United States)

    Tyler, J. Michael; Reynolds, Therese

    1998-01-01

    A model for incorporating feature films into a course for training group facilitators is presented. Using cognitive-learning theories, the authors describe how films may be used as an advanced organizer, as the basis for student learning assessment, or as examples of specific theory in action. Specific examples are provided. (Author/EMK)

  13. New Spectral Features from Bound Dark Matter

    DEFF Research Database (Denmark)

    Catena, Riccardo; Kouvaris, Chris

    2016-01-01

    We demonstrate that dark matter particles gravitationally bound to the Earth can induce a characteristic nuclear recoil signal at low energies in direct detection experiments. The new spectral feature we predict can provide the ultimate smoking gun for dark matter discovery for experiments...

  14. Clinical and Morphological Features of Focal Adenomyosis

    Directory of Open Access Journals (Sweden)

    Yuliya B. Kurashvili

    2013-09-01

    Full Text Available Background: Adenomyosis is a very real problem encountered in modern gynecology due to the increase in the incidence, severity of the disease, and absence of effective methods of conservative treatment. The aim of the study was to investigate the clinical and morphological features of the focal and diffuse forms of adenomyosis. Methods and Results: The study involved 70 women who applied to the Center with the diagnosis of ‘adenomyosis’. Examination included transvaginal sonography (TVS, magnetic resonance spectroscopy (MRS, and morphological study of the adenomyotic foci. With a probability of 99%, one can argue that focal adenomyosis (FA in its clinical features is different from diffuse adenomyosis (DA in all its major manifestations. Conclusion: FA has unique morphological characteristics and clinical features. The diagnosis of FA should be based on a complex of clinical and instrumental data in conjunction with morphological process verification. Besides, there are difficulties in the diagnosis of FA, which is a major reason for the incorrect determination of the treatment tactic for patients. However, the application of MRS allows the preoperative identification of the biochemical structure of the focus and determination of its borders, and in the postoperative period, selection of optimal treatment tactics based on the identified morphological features of the removed adenomyotic foci.

  15. Catamenial migraine: epidemiology, pathogenesis, diagnosis, clinical features

    Directory of Open Access Journals (Sweden)

    S A Gromova

    2010-01-01

    Full Text Available Based on a review of the literature, the authors consider the pathogenesis, diagnosis, epidemiology, and clinical features of catamenial migraine. The view that catamenial migraine attacks are severest receives more and more support. The criteria that may be used to predict a severer course of catamenial migraine attacks in a specific patient are to be further defined.

  16. Clinical Features of Osteogenesis Imperfecta in Taiwan

    Directory of Open Access Journals (Sweden)

    Hsiang-Yu Lin

    2009-07-01

    Conclusion: Nine of the 11 clinical features examined—height, weight, BMD, dentinogenesis imperfecta, bone deformity, scoliosis, walking ability, fracture rate, and family history—were significantly different among the three types of OI patients. This finding may be of help in evaluating patients and establishing their prognosis.

  17. Item Feature Effects in Evolution Assessment

    Science.gov (United States)

    Nehm, Ross H.; Ha, Minsu

    2011-01-01

    Despite concerted efforts by science educators to understand patterns of evolutionary reasoning in science students and teachers, the vast majority of evolution education studies have failed to carefully consider or control for item feature effects in knowledge measurement. Our study explores whether robust contextualization patterns emerge within…

  18. The neurocognitive basis of feature integration

    NARCIS (Netherlands)

    Keizer, André Willem

    2010-01-01

    One of the most striking features of the brain is that it is modular; it consists of often highly specialized areas. This modular organization requires efficient communication in order to integrate the information that is represented in distinct brain areas. In my thesis, I studied the neural basis

  19. Linguistic Features of Pidgin Arabic in Kuwait

    Science.gov (United States)

    Salem, Ashraf Atta M. S.

    2013-01-01

    This paper sheds the light on Asian pidgin Arabic, particularly linguistic features of pidgin Arabic in Kuwait. The phonology, syntax and lexicon of the language are described on the basis of interviews conducted with forty Asian informants. The data are discussed in its relation to other studies. Also, the researcher discussed the implication of…

  20. Classifying web pages with visual features

    NARCIS (Netherlands)

    de Boer, V.; van Someren, M.; Lupascu, T.; Filipe, J.; Cordeiro, J.

    2010-01-01

    To automatically classify and process web pages, current systems use the textual content of those pages, including both the displayed content and the underlying (HTML) code. However, a very important feature of a web page is its visual appearance. In this paper, we show that using generic visual fea

  1. The definition and features of Learning Strategies

    Institute of Scientific and Technical Information of China (English)

    汪晖

    2016-01-01

    Abstract:Learning strategies are becoming widely recognized throughout education in general. This essay is mainly about the definition and features of learning strategies. We can focus on learning strategies, and trying to develop learner awareness and use of a wide variety of strategies.

  2. Surface characterization based upon significant topographic features

    Energy Technology Data Exchange (ETDEWEB)

    Blanc, J; Grime, D; Blateyron, F, E-mail: fblateyron@digitalsurf.fr [Digital Surf, 16 rue Lavoisier, F-25000 Besancon (France)

    2011-08-19

    Watershed segmentation and Wolf pruning, as defined in ISO 25178-2, allow the detection of significant features on surfaces and their characterization in terms of dimension, area, volume, curvature, shape or morphology. These new tools provide a robust way to specify functional surfaces.

  3. ABOUT OPTIMIZATION FEATURE ON SOLIDWORKS SIMULATIONEXPRESS MODULE

    Directory of Open Access Journals (Sweden)

    Cătălin IANCU

    2016-12-01

    Full Text Available In this paper are presented the analysis steps to be taken in SolidWorks for conducting a preliminary study of parts designed, using SimulationExpress module. There are presented the module features and the settings that have to be done for such analysis and the results shown after analysis

  4. Imaging features of ciliated hepatic foregut cyst

    Institute of Scientific and Technical Information of China (English)

    Song-Hua Fang; Dan-Jun Dong; Shi-Zheng Zhang

    2005-01-01

    Ciliated hepatic foregut cyst (CHFC) is a very rare cystic lesion of the liver that is histologically similar to bronchogenic cyst. We report one case of CHFC that was hard to distinguish from solid-cystic neoplasm in imaging features. Magnetic resonance imaging was helpful in differentiating these cysts from other lesions.

  5. FEATURE EXTRACTION FOR EMG BASED PROSTHESES CONTROL

    Directory of Open Access Journals (Sweden)

    R. Aishwarya

    2013-01-01

    Full Text Available The control of prosthetic limb would be more effective if it is based on Surface Electromyogram (SEMG signals from remnant muscles. The analysis of SEMG signals depend on a number of factors, such as amplitude as well as time- and frequency-domain properties. Time series analysis using Auto Regressive (AR model and Mean frequency which is tolerant to white Gaussian noise are used as feature extraction techniques. EMG Histogram is used as another feature vector that was seen to give more distinct classification. The work was done with SEMG dataset obtained from the NINAPRO DATABASE, a resource for bio robotics community. Eight classes of hand movements hand open, hand close, Wrist extension, Wrist flexion, Pointing index, Ulnar deviation, Thumbs up, Thumb opposite to little finger are taken into consideration and feature vectors are extracted. The feature vectors can be given to an artificial neural network for further classification in controlling the prosthetic arm which is not dealt in this paper.

  6. Clafer: Unifying Class and Feature Modeling

    DEFF Research Database (Denmark)

    Bąk, Kacper; Diskin, Zinovy; Antkiewicz, Michal;

    2015-01-01

    of hierarchical models whereby properties can be arbitrarily nested in the presence of inheritance and feature modeling constructs. The semantics also enables building consistent automated reasoning support for the language: To date, we implemented three reasoners for Clafer based on Alloy, Z3 SMT, and Choco3 CSP...

  7. New Features in FormCalc 4

    CERN Document Server

    Hahn, T

    2004-01-01

    FormCalc is a Mathematica package for the automatic computation of tree-level and one-loop Feynman amplitudes. It accepts diagrams generated by FeynArts, simplifies them, and generates a complete Fortran code for their numerical evaluation. Version 4 includes new features which enhance performance, convenience of use, and modularity/code reusability.

  8. An empirical study of PHP feature usage

    NARCIS (Netherlands)

    Hills, M.A.; Klint, P.; Vinju, J.J.; Pezze, M.; Harman, M

    2013-01-01

    PHP is one of the most popular languages for server-side application development. The language is highly dynamic, providing programmers with a large amount of flexibility. However, these dynamic features also have a cost, making it difficult to apply traditional static analysis techniques used in st

  9. Features and heterogeneities in growing network models

    Science.gov (United States)

    Ferretti, Luca; Cortelezzi, Michele; Yang, Bin; Marmorini, Giacomo; Bianconi, Ginestra

    2012-06-01

    Many complex networks from the World Wide Web to biological networks grow taking into account the heterogeneous features of the nodes. The feature of a node might be a discrete quantity such as a classification of a URL document such as personal page, thematic website, news, blog, search engine, social network, etc., or the classification of a gene in a functional module. Moreover the feature of a node can be a continuous variable such as the position of a node in the embedding space. In order to account for these properties, in this paper we provide a generalization of growing network models with preferential attachment that includes the effect of heterogeneous features of the nodes. The main effect of heterogeneity is the emergence of an “effective fitness” for each class of nodes, determining the rate at which nodes acquire new links. The degree distribution exhibits a multiscaling behavior analogous to the the fitness model. This property is robust with respect to variations in the model, as long as links are assigned through effective preferential attachment. Beyond the degree distribution, in this paper we give a full characterization of the other relevant properties of the model. We evaluate the clustering coefficient and show that it disappears for large network size, a property shared with the Barabási-Albert model. Negative degree correlations are also present in this class of models, along with nontrivial mixing patterns among features. We therefore conclude that both small clustering coefficients and disassortative mixing are outcomes of the preferential attachment mechanism in general growing networks.

  10. Novel acoustic features for speech emotion recognition

    Institute of Scientific and Technical Information of China (English)

    ROH; Yong-Wan; KIM; Dong-Ju; LEE; Woo-Seok; HONG; Kwang-Seok

    2009-01-01

    This paper focuses on acoustic features that effectively improve the recognition of emotion in human speech.The novel features in this paper are based on spectral-based entropy parameters such as fast Fourier transform(FFT) spectral entropy,delta FFT spectral entropy,Mel-frequency filter bank(MFB) spectral entropy,and Delta MFB spectral entropy.Spectral-based entropy features are simple.They reflect frequency characteristic and changing characteristic in frequency of speech.We implement an emotion rejection module using the probability distribution of recognized-scores and rejected-scores.This reduces the false recognition rate to improve overall performance.Recognized-scores and rejected-scores refer to probabilities of recognized and rejected emotion recognition results,respectively.These scores are first obtained from a pattern recognition procedure.The pattern recognition phase uses the Gaussian mixture model(GMM).We classify the four emotional states as anger,sadness,happiness and neutrality.The proposed method is evaluated using 45 sentences in each emotion for 30 subjects,15 males and 15 females.Experimental results show that the proposed method is superior to the existing emotion recognition methods based on GMM using energy,Zero Crossing Rate(ZCR),linear prediction coefficient(LPC),and pitch parameters.We demonstrate the effectiveness of the proposed approach.One of the proposed features,combined MFB and delta MFB spectral entropy improves performance approximately 10% compared to the existing feature parameters for speech emotion recognition methods.We demonstrate a 4% performance improvement in the applied emotion rejection with low confidence score.

  11. Automatic measurement and representation of prosodic features

    Science.gov (United States)

    Ying, Goangshiuan Shawn

    Effective measurement and representation of prosodic features of the acoustic signal for use in automatic speech recognition and understanding systems is the goal of this work. Prosodic features-stress, duration, and intonation-are variations of the acoustic signal whose domains are beyond the boundaries of each individual phonetic segment. Listeners perceive prosodic features through a complex combination of acoustic correlates such as intensity, duration, and fundamental frequency (F0). We have developed new tools to measure F0 and intensity features. We apply a probabilistic global error correction routine to an Average Magnitude Difference Function (AMDF) pitch detector. A new short-term frequency-domain Teager energy algorithm is used to measure the energy of a speech signal. We have conducted a series of experiments performing lexical stress detection on words in continuous English speech from two speech corpora. We have experimented with two different approaches, a segment-based approach and a rhythm unit-based approach, in lexical stress detection. The first approach uses pattern recognition with energy- and duration-based measurements as features to build Bayesian classifiers to detect the stress level of a vowel segment. In the second approach we define rhythm unit and use only the F0-based measurement and a scoring system to determine the stressed segment in the rhythm unit. A duration-based segmentation routine was developed to break polysyllabic words into rhythm units. The long-term goal of this work is to develop a system that can effectively detect the stress pattern for each word in continuous speech utterances. Stress information will be integrated as a constraint for pruning the word hypotheses in a word recognition system based on hidden Markov models.

  12. [Clinical features of hypokalemic periodic paralysis].

    Science.gov (United States)

    Wang, Wei; Zhao, Chun-yun; Gao, Yan-ming

    2009-12-18

    To explore the clinical features of hypokalemic periodic paralysis, and compare clinical features of primary group with those of thyrotoxicosis secondary group. Clinical data of 44 patients with hypokalemic periodic paralysis in Peking University First Hospital from 1996 December to 2008 December were retrospectively analyzed. There were 22 patients in primary group, and 22 in thyrotoxicosis group. Identical clinical features of both the groups: (1)It had a predilection in young men. (2)Main symptoms were limb movement disorder and fatigue, and paralysis recurrent attacked in most patients. (3) 40.9% to 68.2% patients had obvious incentives, and the common ones were a heavy meal, sweet drinks, or strenuous exercise. (4) Serum potassium levels of the two groups were obviously lower than the normal range. (5)In 20% patients of primary group and 25% patients of thyrotoxicosis secondary group, CK levels were higher than normal, while LDH and HBDH levels were normal. (6)The doses of potassium replishment were not correlated to serum potassium levels at the onset. Different clinical features of the two groups: (1) Patients of thyrotoxicosis group had hypermetabolism symptoms and thyroid dysfunction. Patients of primary group had no hypermetabolism symptoms, and all of them were euthyroid. (2)Serum potassium levels of thyrotoxicosis secondary group were lower than those of primary group significantly [(2.25 +/- 0.67) vs (2.78 +/- 0.49) mmol/L, P=0.007]. (3) Hyperkalemia is easier than primary group to rebound in thyrotoxicosis secondary group, after replenishment of potassium. Hypokalemic periodic paralysis has its clinical features, and patients with early diagnosis and replenishment of potassium in time have good prognosis. The doses of potassium replenishment are not determined by serum potassium levels at the onset. Hyperkalemia is easier to rebound in thyrotoxicosis secondary group after replenishment of potassium, serum potassium levels should be monitored closely

  13. Tournament screening cum EBIC for feature selection with high-dimensional feature spaces

    Institute of Scientific and Technical Information of China (English)

    2009-01-01

    The feature selection characterized by relatively small sample size and extremely high-dimensional feature space is common in many areas of contemporary statistics.The high dimensionality of the feature space causes serious diffculties:(i) the sample correlations between features become high even if the features are stochastically independent;(ii) the computation becomes intractable.These diffculties make conventional approaches either inapplicable or ine?cient.The reduction of dimensionality of the feature space followed by low dimensional approaches appears the only feasible way to tackle the problem.Along this line,we develop in this article a tournament screening cum EBIC approach for feature selection with high dimensional feature space.The procedure of tournament screening mimics that of a tournament.It is shown theoretically that the tournament screening has the sure screening property,a necessary property which should be satisfied by any valid screening procedure.It is demonstrated by numerical studies that the tournament screening cum EBIC approach enjoys desirable properties such as having higher positive selection rate and lower false discovery rate than other approaches.

  14. Remote sensing image classification based on block feature point density analysis and multiple-feature fusion

    Science.gov (United States)

    Li, Shijin; Jiang, Yaping; Zhang, Yang; Feng, Jun

    2015-10-01

    With the development of remote sensing (RS) and the related technologies, the resolution of RS images is enhancing. Compared with moderate or low resolution images, high-resolution ones can provide more detailed ground information. However, a variety of terrain has complex spatial distribution. The different objectives of high-resolution images have a variety of features. The effectiveness of these features is not the same, but some of them are complementary. Considering the above information and characteristics, a new method is proposed to classify RS images based on hierarchical fusion of multi-features. Firstly, RS images are pre-classified into two categories in terms of whether feature points are uniformly or non-uniformly distributed. Then, the color histogram and Gabor texture feature are extracted from the uniformly-distributed categories, and the linear spatial pyramid matching using sparse coding (ScSPM) feature is obtained from the non-uniformly-distributed categories. Finally, the classification is performed by two support vector machine classifiers. The experimental results on a large RS image database with 2100 images show that the overall classification accuracy is boosted by 10.1% in comparison with the highest accuracy of single feature classification method. Compared with other multiple-feature fusion methods, the proposed method has achieved the highest classification accuracy on this dataset which has reached 90.1%, and the time complexity of the algorithm is also greatly reduced.

  15. Feature selection versus feature compression in the building of calibration models from FTIR-spectrophotometry datasets.

    Science.gov (United States)

    Vergara, Alexander; Llobet, Eduard

    2012-01-15

    Undoubtedly, FTIR-spectrophotometry has become a standard in chemical industry for monitoring, on-the-fly, the different concentrations of reagents and by-products. However, representing chemical samples by FTIR spectra, which spectra are characterized by hundreds if not thousands of variables, conveys their own set of particular challenges because they necessitate to be analyzed in a high-dimensional feature space, where many of these features are likely to be highly correlated and many others surely affected by noise. Therefore, identifying a subset of features that preserves the classifier/regressor performance seems imperative prior any attempt to build an appropriate pattern recognition method. In this context, we investigate the benefit of utilizing two different dimensionality reduction methods, namely the minimum Redundancy-Maximum Relevance (mRMR) feature selection scheme and a new self-organized map (SOM) based feature compression, coupled to regression methods to quantitatively analyze two-component liquid samples utilizing FTIR spectrophotometry. Since these methods give us the possibility of selecting a small subset of relevant features from FTIR spectra preserving the statistical characteristics of the target variable being analyzed, we claim that expressing the FTIR spectra by these dimensionality-reduced set of features may be beneficial. We demonstrate the utility of these novel feature selection schemes in quantifying the distinct analytes within their binary mixtures utilizing a FTIR-spectrophotometer.

  16. Feature selection using feature dissimilarity measure and density-based clustering: Application to biological data

    Indian Academy of Sciences (India)

    Debarka Sengupta; Indranil Aich; Sanghamitra Bandyopadhyay

    2015-10-01

    Reduction of dimensionality has emerged as a routine process in modelling complex biological systems. A large number of feature selection techniques have been reported in the literature to improve model performance in terms of accuracy and speed. In the present article an unsupervised feature selection technique is proposed, using maximum information compression index as the dissimilarity measure and the well-known density-based cluster identification technique DBSCAN for identifying the largest natural group of dissimilar features. The algorithm is fast and less sensitive to the user-supplied parameters. Moreover, the method automatically determines the required number of features and identifies them. We used the proposed method for reducing dimensionality of a number of benchmark data sets of varying sizes. Its performance was also extensively compared with some other well-known feature selection methods.

  17. Segmentation-Based PolSAR Image Classification Using Visual Features: RHLBP and Color Features

    Directory of Open Access Journals (Sweden)

    Jian Cheng

    2015-05-01

    Full Text Available A segmentation-based fully-polarimetric synthetic aperture radar (PolSAR image classification method that incorporates texture features and color features is designed and implemented. This method is based on the framework that conjunctively uses statistical region merging (SRM for segmentation and support vector machine (SVM for classification. In the segmentation step, we propose an improved local binary pattern (LBP operator named the regional homogeneity local binary pattern (RHLBP to guarantee the regional homogeneity in PolSAR images. In the classification step, the color features extracted from false color images are applied to improve the classification accuracy. The RHLBP operator and color features can provide discriminative information to separate those pixels and regions with similar polarimetric features, which are from different classes. Extensive experimental comparison results with conventional methods on L-band PolSAR data demonstrate the effectiveness of our proposed method for PolSAR image classification.

  18. Method of generating features optimal to a dataset and classifier

    Energy Technology Data Exchange (ETDEWEB)

    Bruillard, Paul J.; Gosink, Luke J.; Jarman, Kenneth D.

    2016-10-18

    A method of generating features optimal to a particular dataset and classifier is disclosed. A dataset of messages is inputted and a classifier is selected. An algebra of features is encoded. Computable features that are capable of describing the dataset from the algebra of features are selected. Irredundant features that are optimal for the classifier and the dataset are selected.

  19. Metacatalog of Planetary Surface Features for Multicriteria Evaluation of Surface Evolution: the Integrated Planetary Feature Database

    Science.gov (United States)

    Hargitai, Henrik

    2016-10-01

    We have created a metacatalog, or catalog or catalogs, of surface features of Mars that also includes the actual data in the catalogs listed. The goal is to make mesoscale surface feature databases available in one place, in a GIS-ready format. The databases can be directly imported to ArcGIS or other GIS platforms, like Google Mars. Some of the catalogs in our database are also ingested into the JMARS platform.All catalogs have been previously published in a peer-reviewed journal, but they may contain updates of the published catalogs. Many of the catalogs are "integrated", i.e. they merge databases or information from various papers on the same topic, including references to each individual features listed.Where available, we have included shapefiles with polygon or linear features, however, most of the catalogs only contain point data of their center points and morphological data.One of the unexpected results of the planetary feature metacatalog is that some features have been described by several papers, using different, i.e., conflicting designations. This shows the need for the development of an identification system suitable for mesoscale (100s m to km sized) features that tracks papers and thus prevents multiple naming of the same feature.The feature database can be used for multicriteria analysis of a terrain, thus enables easy distribution pattern analysis and the correlation of the distribution of different landforms and features on Mars. Such catalog makes a scientific evaluation of potential landing sites easier and more effective during the selection process and also supports automated landing site selections.The catalog is accessible at https://planetarydatabase.wordpress.com/.

  20. Harvesting geographic features from heterogeneous raster maps

    Science.gov (United States)

    Chiang, Yao-Yi

    2010-11-01

    Raster maps offer a great deal of geospatial information and are easily accessible compared to other geospatial data. However, harvesting geographic features locked in heterogeneous raster maps to obtain the geospatial information is challenging. This is because of the varying image quality of raster maps (e.g., scanned maps with poor image quality and computer-generated maps with good image quality), the overlapping geographic features in maps, and the typical lack of metadata (e.g., map geocoordinates, map source, and original vector data). Previous work on map processing is typically limited to a specific type of map and often relies on intensive manual work. In contrast, this thesis investigates a general approach that does not rely on any prior knowledge and requires minimal user effort to process heterogeneous raster maps. This approach includes automatic and supervised techniques to process raster maps for separating individual layers of geographic features from the maps and recognizing geographic features in the separated layers (i.e., detecting road intersections, generating and vectorizing road geometry, and recognizing text labels). The automatic technique eliminates user intervention by exploiting common map properties of how road lines and text labels are drawn in raster maps. For example, the road lines are elongated linear objects and the characters are small connected-objects. The supervised technique utilizes labels of road and text areas to handle complex raster maps, or maps with poor image quality, and can process a variety of raster maps with minimal user input. The results show that the general approach can handle raster maps with varying map complexity, color usage, and image quality. By matching extracted road intersections to another geospatial dataset, we can identify the geocoordinates of a raster map and further align the raster map, separated feature layers from the map, and recognized features from the layers with the geospatial

  1. Special feature on imaging systems and techniques

    Science.gov (United States)

    Yang, Wuqiang; Giakos, George

    2013-07-01

    The IEEE International Conference on Imaging Systems and Techniques (IST'2012) was held in Manchester, UK, on 16-17 July 2012. The participants came from 26 countries or regions: Austria, Brazil, Canada, China, Denmark, France, Germany, Greece, India, Iran, Iraq, Italy, Japan, Korea, Latvia, Malaysia, Norway, Poland, Portugal, Sweden, Switzerland, Taiwan, Tunisia, UAE, UK and USA. The technical program of the conference consisted of a series of scientific and technical sessions, exploring physical principles, engineering and applications of new imaging systems and techniques, as reflected by the diversity of the submitted papers. Following a rigorous review process, a total of 123 papers were accepted, and they were organized into 30 oral presentation sessions and a poster session. In addition, six invited keynotes were arranged. The conference not only provided the participants with a unique opportunity to exchange ideas and disseminate research outcomes but also paved a way to establish global collaboration. Following the IST'2012, a total of 55 papers, which were technically extended substantially from their versions in the conference proceeding, were submitted as regular papers to this special feature of Measurement Science and Technology . Following a rigorous reviewing process, 25 papers have been finally accepted for publication in this special feature and they are organized into three categories: (1) industrial tomography, (2) imaging systems and techniques and (3) image processing. These papers not only present the latest developments in the field of imaging systems and techniques but also offer potential solutions to existing problems. We hope that this special feature provides a good reference for researchers who are active in the field and will serve as a catalyst to trigger further research. It has been our great pleasure to be the guest editors of this special feature. We would like to thank the authors for their contributions, without which it would

  2. Mobile Robot Visual Navigation Using Multiple Features

    Directory of Open Access Journals (Sweden)

    Zezhi Chen

    2005-08-01

    Full Text Available We propose a method to segment the ground plane from a mobile robot's visual field of view and then measure the height of nonground plane features above the mobile robot's ground plane. Thus a mobile robot can determine what it can drive over, what it can drive under, and what it needs to manoeuvre around. In addition to obstacle avoidance, this data could also be used for localisation and map building. All of this is possible from an uncalibrated camera (raw pixel coordinates only, but is restricted to (near pure translation motion of the camera. The main contributions are (i a novel reciprocal-polar (RP image rectification, (ii ground plane segmentation by sinusoidal model fitting in RP-space, (iii a novel projective construction for measuring affine height, and (iv an algorithm that can make use of a variety of visual features and therefore operate in a wide variety of visual environments.

  3. Semantic Features for Classifying Referring Search Terms

    Energy Technology Data Exchange (ETDEWEB)

    May, Chandler J.; Henry, Michael J.; McGrath, Liam R.; Bell, Eric B.; Marshall, Eric J.; Gregory, Michelle L.

    2012-05-11

    When an internet user clicks on a result in a search engine, a request is submitted to the destination web server that includes a referrer field containing the search terms given by the user. Using this information, website owners can analyze the search terms leading to their websites to better understand their visitors needs. This work explores some of the features that can be used for classification-based analysis of such referring search terms. We present initial results for the example task of classifying HTTP requests countries of origin. A system that can accurately predict the country of origin from query text may be a valuable complement to IP lookup methods which are susceptible to the obfuscation of dereferrers or proxies. We suggest that the addition of semantic features improves classifier performance in this example application. We begin by looking at related work and presenting our approach. After describing initial experiments and results, we discuss paths forward for this work.

  4. Model atmospheres - Tool for identifying interstellar features

    Science.gov (United States)

    Frisch, P. C.; Slojkowski, S. E.; Rodriguez-Bell, T.; York, D.

    1993-01-01

    Model atmosphere parameters are derived for 14 early A stars with rotation velocities, from optical spectra, in excess of 80 km/s. The models are compared with IUE observations of the stars in regions where interstellar lines are expected. In general, with the assumption of solar abundances, excellent fits are obtained in regions longward of 2580 A, and accurate interstellar equivalent widths can be derived using models to establish the continuum. The fits are poorer at shorter wavelengths, particularly at 2026-2062 A, where the stellar model parameters seem inadequate. Features indicating mass flows are evident in stars with known infrared excesses. In gamma TrA, variability in the Mg II lines is seen over the 5-year interval of these data, and also over timescales as short as 26 days. The present technique should be useful in systematic studies of episodic mass flows in A stars and for stellar abundance studies, as well as interstellar features.

  5. Emergence of network features from multiplexity

    CERN Document Server

    Cardillo, Alessio; Zanin, Massimiliano; Romance, Miguel; Papo, David; del Pozo, Francisco; Boccaletti, Stefano

    2012-01-01

    Many biological and man-made networked systems are characterized by the simultaneous presence of different sub-networks organized in separate layers, with links and nodes of qualitatively different types. While during the past few years theoretical studies have examined a variety of structural features of complex networks, the outstanding question is whether such features are characterizing all single layers, or rather emerge as a result of coarse-graining, i.e. when going from the multilayered to the aggregate network representation. Here we address this issue with the help of real data. We analyze the structural properties of an intrinsically multilayered real network, the European Air Transportation Multiplex Network in which each commercial airline defines a network layer. We examine how several structural measures evolve as layers are progressively merged together. In particular, we discuss how the topology of each layer affects the emergence of structural properties in the aggregate network.

  6. Geochemical dynamics in selected Yellowstone hydrothermal features

    Science.gov (United States)

    Druschel, G.; Kamyshny, A.; Findlay, A.; Nuzzio, D.

    2010-12-01

    Yellowstone National Park has a wide diversity of thermal features, and includes springs with a range of pH conditions that significantly impact sulfur speciation. We have utilized a combination of voltammetric and spectroscopic techniques to characterize the intermediate sulfur chemistry of Cinder Pool, Evening Primrose, Ojo Caliente, Frying Pan, Azure, and Dragon thermal springs. These measurements additionally have demonstrated the geochemical dynamics inherent in these systems; significant variability in chemical speciation occur in many of these thermal features due to changes in gas supply rates, fluid discharge rates, and thermal differences that occur on second time scales. The dynamics of the geochemical settings shown may significantly impact how microorganisms interact with the sulfur forms in these systems.

  7. Simulation of cyclotron resonant scattering features

    Directory of Open Access Journals (Sweden)

    Schwarm Fritz-Walter

    2014-01-01

    Full Text Available X-ray binary systems consisting of a mass donating optical star and a highly magnetized neutron star, under the right circumstances, show quantum mechanical absorption features in the observed spectra called cyclotron resonant scattering features (CRSFs. We have developed a simulation to model CRSFs using Monte Carlo methods. We calculate Green’s tables which can be used to imprint CRSFs to arbitrary X-ray continua. Our simulation keeps track of scattering parameters of individual photons, extends the number of variable parameters of previous works, and allows for more flexible geometries. Here we focus on the influence of bulk velocity of the accreted matter on the CRSF line shapes and positions.

  8. Online Farsi Character Recognition Using Structural Features

    Directory of Open Access Journals (Sweden)

    Vahid Ghods

    2012-04-01

    Full Text Available In this paper, grouping and recognition of online Farsi discrete characters are presented according to their structural features. The letters are divided into 9 groups based on the form and structure of their main bodies. After feature extraction, grouping is performed using a decision tree. Final recognition of letters is carried out in each group by delayed strokes. The proposed method is a rapid method in character recognition because time-consuming methods have not been used. Our proposed method was tested on TMU-OFS dataset, and a recognition rate of 94% and 92% was achieved for character grouping and recognition, respectively. The mean processing time for recognizing a letter was 3ms.

  9. Emergence of network features from multiplexity

    Science.gov (United States)

    Cardillo, Alessio; Gómez-Gardeñes, Jesús; Zanin, Massimiliano; Romance, Miguel; Papo, David; Pozo, Francisco del; Boccaletti, Stefano

    2013-01-01

    Many biological and man-made networked systems are characterized by the simultaneous presence of different sub-networks organized in separate layers, with links and nodes of qualitatively different types. While during the past few years theoretical studies have examined a variety of structural features of complex networks, the outstanding question is whether such features are characterizing all single layers, or rather emerge as a result of coarse-graining, i.e. when going from the multilayered to the aggregate network representation. Here we address this issue with the help of real data. We analyze the structural properties of an intrinsically multilayered real network, the European Air Transportation Multiplex Network in which each commercial airline defines a network layer. We examine how several structural measures evolve as layers are progressively merged together. In particular, we discuss how the topology of each layer affects the emergence of structural properties in the aggregate network. PMID:23446838

  10. Unilateral nasal pain with migraine features.

    Science.gov (United States)

    Alvarez, Mónica; Montojo, Teresa; de la Casa, Beatriz; Vela, Lydia; Pareja, Juan A

    2013-09-01

    Migraine attacks exclusively felt in the face are very rare, the pain involving the territories supplied by the second and third branches of the trigeminal nerve. Two patients suffering from heminasal pain attacks accompanied with typical migrainous features and responsive to oral or intranasal triptans - but not to intranasal lidocaine or oxymetazoline. In one patient, the attacks could be precipitated upon slight touching on the tip of the nose, in the other attacks were preceded by the nasal sensation typically heralding sneezing. Migraine pain mostly develops within the innervation territory of the first branch of the trigeminal nerve, which includes the nose. Therefore, episodes of unilateral nasal pain with migrainous features could be considered a migraine with unusual topography (nasal migraine). Painful nasal attacks occasionally preceded by stimulation of trigeminal afferents in the nose, could be conceived of as migraine-tic syndrome.

  11. Microscopic features of moving traffic jams

    CERN Document Server

    Kerner, B S; Klenov, S L; Rehborn, H; Hiller, Andreas; Kerner, Boris S.; Klenov, Sergey L.; Rehborn, Hubert

    2005-01-01

    Empirical and numerical microscopic features of moving traffic jams are presented. Based on a single vehicle data analysis, it is found that within wide moving jams, i.e., between the upstream and downstream jam fronts there is a complex microscopic spatiotemporal structure. This jam structure consists of alternations of regions in which traffic flow is interrupted and flow states of low speeds associated with "moving blanks" within the jam. Empirical features of the moving blanks are found. Based on microscopic models in the context of three-phase traffic theory, physical reasons for moving blanks emergence within wide moving jams are disclosed. Structure of moving jam fronts is studied based in microscopic traffic simulations. Non-linear effects associated with moving jam propagation are numerically investigated and compared with empirical results.

  12. Non-motor features of Parkinson disease.

    Science.gov (United States)

    Schapira, Anthony H V; Chaudhuri, K Ray; Jenner, Peter

    2017-07-01

    Many of the motor symptoms of Parkinson disease (PD) can be preceded, sometimes for several years, by non-motor symptoms that include hyposmia, sleep disorders, depression and constipation. These non-motor features appear across the spectrum of patients with PD, including individuals with genetic causes of PD. The neuroanatomical and neuropharmacological bases of non-motor abnormalities in PD remain largely undefined. Here, we discuss recent advances that have helped to establish the presence, severity and effect on the quality of life of non-motor symptoms in PD, and the neuroanatomical and neuropharmacological mechanisms involved. We also discuss the potential for the non-motor features to define a prodrome that may enable the early diagnosis of PD.

  13. Features of Islamic Health-Treatment Doctrine

    Directory of Open Access Journals (Sweden)

    Ali Reza Alinouri

    2015-03-01

    Full Text Available Islam has particular style and doctrine about health and treatment that makes it different from other treatment methods. The aim of this article is studying the principles and methods of Islamic health treatment and the attitudes of this religion toward appearance of disease caused by material or immaterial factors. This article is review type and it is presented by descriptive analysis method from religious sources. Islam is a religion which is oriented towards health with health-treatment features, priority of prevention over treatment by reforming nutritional principles, tolerance of disease and avoidance of taking medicine if the disease is not sever, paying attention to spiritual causes of illness in addition to physical factors and necessity of treatment as a Divine Will and avoidance of treatment by Haraam because God has not placed healing in Haraam. These features have made Islamic health - treatment doctrine as unique.

  14. Mobile Robot Visual Navigation Using Multiple Features

    Science.gov (United States)

    Pears, Nick; Liang, Bojian; Chen, Zezhi

    2005-12-01

    We propose a method to segment the ground plane from a mobile robot's visual field of view and then measure the height of nonground plane features above the mobile robot's ground plane. Thus a mobile robot can determine what it can drive over, what it can drive under, and what it needs to manoeuvre around. In addition to obstacle avoidance, this data could also be used for localisation and map building. All of this is possible from an uncalibrated camera (raw pixel coordinates only), but is restricted to (near) pure translation motion of the camera. The main contributions are (i) a novel reciprocal-polar (RP) image rectification, (ii) ground plane segmentation by sinusoidal model fitting in RP-space, (iii) a novel projective construction for measuring affine height, and (iv) an algorithm that can make use of a variety of visual features and therefore operate in a wide variety of visual environments.

  15. Neurobiological features of binge eating disorder.

    Science.gov (United States)

    Balodis, Iris M; Grilo, Carlos M; Potenza, Marc N

    2015-12-01

    Biobehavioral features associated with binge-eating disorder (BED) have been investigated; however, few systematic reviews to date have described neuroimaging findings from studies of BED. Emerging functional and structural studies support BED as having unique and overlapping neural features as compared with other disorders. Neuroimaging studies provide evidence linking heightened responses to palatable food cues with prefrontal areas, particularly the orbitofrontal cortex (OFC), with specific relationships to hunger and reward-sensitivity measures. While few studies to date have investigated non-food-cue responses; these suggest a generalized hypofunctioning in frontostriatal areas during reward and inhibitory control processes. Early studies applying neuroimaging to treatment efforts suggest that targeting neural function underlying motivational processes may prove important in the treatment of BED.

  16. Topological features in cancer gene expression data.

    Science.gov (United States)

    Lockwood, S; Krishnamoorthy, B

    2015-01-01

    We present a new method for exploring cancer gene expression data based on tools from algebraic topology. Our method selects a small relevant subset from tens of thousands of genes while simultaneously identifying nontrivial higher order topological features, i.e., holes, in the data. We first circumvent the problem of high dimensionality by dualizing the data, i.e., by studying genes as points in the sample space. Then we select a small subset of the genes as landmarks to construct topological structures that capture persistent, i.e., topologically significant, features of the data set in its first homology group. Furthermore, we demonstrate that many members of these loops have been implicated for cancer biogenesis in scientific literature. We illustrate our method on five different data sets belonging to brain, breast, leukemia, and ovarian cancers.

  17. An Image Retrieval Method Using DCT Features

    Institute of Scientific and Technical Information of China (English)

    樊昀; 王润生

    2002-01-01

    In this paper a new image representation for compressed domain image re-trieval and an image retrieval system are presented. To represent images compactly and hi-erarchically, multiple features such as color and texture features directly extracted from DCTcoefficients are structurally organized using vector quantization. To train the codebook, a newMinimum Description Length vector quantization algorithm is used and it automatically decidesthe number of code words. To compare two images using the proposed representation, a newefficient similarity measure is designed. The new method is applied to an image database with1,005 pictures. The results demonstrate that the method is better than two typical histogrammethods and two DCT-based image retrieval methods.

  18. SPECIFIC FEATURES OF POSTAL SERVICE MARKET LIBERALIZATION

    Directory of Open Access Journals (Sweden)

    Cristian BUSU

    2015-06-01

    Full Text Available The universal postal service is part of the general interest economic services in which the state intervention is needed. From the economic and financial point of view, it is absolutely necessary to find the best formula by which a financial aid does not represent the premises of a state aid. The specific features of this market are determined by the minimum conditions imposed on what the frequency and speed delivery are concerned, in conditions of maximal rates. This paper focuses on an analysis on the EU’s postal services’ markets, from the competition point of view, with a special emphasis on the specific features of the players on this market, as well as on the benefits for their clients. The second part of the study focuses on actual situations from two EU’s different states and on competition aspects that these states have confronted with.

  19. Imaging features of alveolar soft part sarcoma

    Institute of Scientific and Technical Information of China (English)

    Teng Jin; Ping Zhang Co-first author; Xiaoming Li

    2015-01-01

    Objective The aim of this study was to analyze the imaging features of alveolar soft part sarcoma (ASPS). Methods The imaging features of 11 cases with ASPS were retrospectively analyzed. Results ASPS mainly exhibited an isointense or slightly high signal intensity on T1-weighted imaging (T1WI), and a mixed high signal on T2-weighted imaging (T2WI). ASPS was partial, with rich tortuous flow voids, or “line-like” low signal septa. The essence of the mass was heterogeneous enhancement. The 1H-MRS showed a slight choline peak at 3.2 ppm. Conclusion The wel-circumscribed mass and blood voids, combined with “line-like” low signals play a significant role in diagnosis. The choline peak and the other signs may be auxiliary diagnoses.

  20. Gender Recognition Based on Sift Features

    CERN Document Server

    Yousefi, Sahar

    2011-01-01

    This paper proposes a robust approach for face detection and gender classification in color images. Previous researches about gender recognition suppose an expensive computational and time-consuming pre-processing step in order to alignment in which face images are aligned so that facial landmarks like eyes, nose, lips, chin are placed in uniform locations in image. In this paper, a novel technique based on mathematical analysis is represented in three stages that eliminates alignment step. First, a new color based face detection method is represented with a better result and more robustness in complex backgrounds. Next, the features which are invariant to affine transformations are extracted from each face using scale invariant feature transform (SIFT) method. To evaluate the performance of the proposed algorithm, experiments have been conducted by employing a SVM classifier on a database of face images which contains 500 images from distinct people with equal ratio of male and female.

  1. FEATURE DESCRIPTOR BY CONVOLUTION AND POOLING AUTOENCODERS

    Directory of Open Access Journals (Sweden)

    L. Chen

    2015-03-01

    Full Text Available In this paper we present several descriptors for feature-based matching based on autoencoders, and we evaluate the performance of these descriptors. In a training phase, we learn autoencoders from image patches extracted in local windows surrounding key points determined by the Difference of Gaussian extractor. In the matching phase, we construct key point descriptors based on the learned autoencoders, and we use these descriptors as the basis for local keypoint descriptor matching. Three types of descriptors based on autoencoders are presented. To evaluate the performance of these descriptors, recall and 1-precision curves are generated for different kinds of transformations, e.g. zoom and rotation, viewpoint change, using a standard benchmark data set. We compare the performance of these descriptors with the one achieved for SIFT. Early results presented in this paper show that, whereas SIFT in general performs better than the new descriptors, the descriptors based on autoencoders show some potential for feature based matching.

  2. Emergence of network features from multiplexity.

    Science.gov (United States)

    Cardillo, Alessio; Gómez-Gardeñes, Jesús; Zanin, Massimiliano; Romance, Miguel; Papo, David; del Pozo, Francisco; Boccaletti, Stefano

    2013-01-01

    Many biological and man-made networked systems are characterized by the simultaneous presence of different sub-networks organized in separate layers, with links and nodes of qualitatively different types. While during the past few years theoretical studies have examined a variety of structural features of complex networks, the outstanding question is whether such features are characterizing all single layers, or rather emerge as a result of coarse-graining, i.e. when going from the multilayered to the aggregate network representation. Here we address this issue with the help of real data. We analyze the structural properties of an intrinsically multilayered real network, the European Air Transportation Multiplex Network in which each commercial airline defines a network layer. We examine how several structural measures evolve as layers are progressively merged together. In particular, we discuss how the topology of each layer affects the emergence of structural properties in the aggregate network.

  3. Episodic Ataxias: Clinical and Genetic Features

    Science.gov (United States)

    Choi, Kwang-Dong; Choi, Jae-Hwan

    2016-01-01

    Episodic ataxia (EA) is a clinically heterogeneous group of disorders that are characterized by recurrent spells of truncal ataxia and incoordination lasting minutes to hours. Most have an autosomal dominant inheritance pattern. To date, 8 subtypes have been defined according to clinical and genetic characteristics, and five genes are known to be linked to EAs. Both EA1 and EA2, which are caused by mutations in KCNA1 and CACNA1A, account for the majority of EA, but many patients with no identified mutations still exhibit EA-like clinical features. Furthermore, genetically confirmed EAs have mostly been identified in Caucasian families. In this article, we review the current knowledge on the clinical and genetic characteristics of EAs. Additionally, we summarize the phenotypic features of the genetically confirmed EA2 families in Korea. PMID:27667184

  4. DAB: Multiplex and system support features

    Science.gov (United States)

    Riley, J. L.

    This Report describes the multiplex and system support features of the Eureka 147/DAB digital audio system. It sets out the requirements of all users along the broadcast chain from service providers and broadcaster through to the listener. The contents of the transmission frame are examined drawing the distinction between the main service multiplex and the provision of control information in a separate fast data channel. The concept of the DAB service structure is introduced and the inherent system flexibility for altering the service arrangement is explained. A wide range of service information features builds on those provided in earlier systems, such as RDS (Radio Data System) and is intended to make it easier for a listener to find any required service and to add a further dimension to audio broadcasting. The choices available to users in all of these areas are examined.

  5. ARCHITECTURAL FEATURES OF HISTORICAL MANSION IN GUMUSHANE

    Directory of Open Access Journals (Sweden)

    Şekip Şadiye Yaşar

    2016-12-01

    Full Text Available Gumushane province has important features in terms of the diversity of traditional architecture located between Eastern Black Sea and Eastern Anatolia region. Gumushane which includes the ruins of the oldest Bronze Age period, has been an important cultural center in history owing to its location on the silk road. The formation of architectural features of Gumushane mansion has been formed by rich in history, cultural diversity, geographical circumstances and climatic conditions. Part of these structures which should be an example to future generations as a cultural heritage are disappearing due to indifference and neglect while some of them are recovered with restoration projects. With this study it is aimed to ensure the integration of contemporary living and to pass on to future generations by examining general characteristics of Gumushane’ s mansion.

  6. A Novel Feature Cloud Visualization for Depiction of Product Features Extracted from Customer Reviews

    Directory of Open Access Journals (Sweden)

    Tanvir Ahmad

    2013-09-01

    Full Text Available There has been an exponential growth of web content on the World Wide Web and online users contributing to majority of the unstructured data which also contain a good amount of information on many different subjects that may range from products, news, programmes and services. Many a times other users read these reviews and try to find the meaning of the sentences expressed by the reviewers. Since the number and the length of the reviews are so large that most the times the user will read a few reviews and would like to take an informed decision on the subject that is being talked about. Many different methods have been adopted by websites like numerical rating, star rating, percentage rating etc. However, these methods fail to give information on the explicit features of the product and their overall weight when taking the product in totality. In this paper, a framework has been presented which first calculates the weight of the features depending on the user satisfaction or dissatisfaction expressed on individual features and further a feature cloud visualization has been proposed which uses two level of specificity where the first level lists the extracted features and the second level shows the opinions on those features. A font generation function has been applied which calculates the font size depending on the importance of the features vis-a-vis with the opinion expressed on them.

  7. Cellulitis: definition, etiology, and clinical features.

    Science.gov (United States)

    Gunderson, Craig G

    2011-12-01

    Cellulitis is a common condition seen by physicians. Over the past decade, skin and soft tissue infections from community-associated methicillin-resistant Staphylococcus aureus have become increasingly common. In this article, the definition, etiology, and clinical features of cellulitis are reviewed, and the importance of differentiating cellulitis from necrotizing soft tissue infections is emphasized. Empiric antimicrobial recommendations are suggested, including the most recent recommendations from the Infectious Disease Society of America.

  8. Features of physical development of preschool children

    Directory of Open Access Journals (Sweden)

    Zavgorodnyaya R.V

    2010-05-01

    Full Text Available The morphofunctional features of organism of children of primary school age are considered in intercommunication with their somatotype. The inspected contingent was made by 90 practically healthy children in age from 6 to 9 years. The anthropometric signs of children were characterized an increase gravimetric type-high indexes with predominance of asthenic somatotype and increase of normosthenic and hypersthenic to the end of the studied period. Complex anthropometric research of indexes of children allowed to estimate their physical development.

  9. Wavelet features in motion data classification

    Science.gov (United States)

    Szczesna, Agnieszka; Świtoński, Adam; Słupik, Janusz; Josiński, Henryk; Wojciechowski, Konrad

    2016-06-01

    The paper deals with the problem of motion data classification based on result of multiresolution analysis implemented in form of quaternion lifting scheme. Scheme processes directly on time series of rotations coded in form of unit quaternion signal. In the work new features derived from wavelet energy and entropy are proposed. To validate the approach gait database containing data of 30 different humans is used. The obtained results are satisfactory. The classification has over than 91% accuracy.

  10. Artistic Features of "Love is a Fallacy"

    Institute of Scientific and Technical Information of China (English)

    宋发富

    2001-01-01

    This paper is intended to analyze the artistic features of "Love is a fallacy" by Max Shulman from four aspects (lexical, syntactic, rhetorical and discourse analysis), and the result of which is expected to reveal the stylistic beauty of the essay as well as the personalities of the three characters. Besides, the theme and sub - theme of the essay will also be explored so that a solid foundation will be laid for the reader' s better understanding and appreciation of the original text.

  11. The Linguistic Features of English Automobile Advertisements

    Institute of Scientific and Technical Information of China (English)

    李琼璐

    2014-01-01

    Household cars are largely demanded today, stimulating the economic development throughout the automobile industry. To enlarge market, all automobile producers pay great efforts to advertisements which result in a large quantity of automobile advertisements. Due to the rare analysis on the linguistic features of automobile advertisements, this essay makes a specific study on this. Analysis will be done through the perspectives of the lexical level, the syntactic level and the rhetoric level. Hence, valid references could be offered to future automobile advertisers.

  12. Necrotizing Periodontal Diseases II: Clinical Features

    OpenAIRE

    Maita Véliz, Luis V.; Universidad Nacional Mayor de San Marcos, Facultad de Odontología.; Castañeda Mosto, María; Universidad Nacional Mayor de San Marcos, Facultad de Odontología.; Gálvez Calla, Luis; Universidad Nacional Mayor de San Marcos, Facultad de Odontología.; Maita Castañeda, Luis M; Facultad de Odontología USMP; Navarro Contreras, Carmen; Odontóloga práctica privada; Ramos Perfecto, Donald; Universidad Nacional Mayor de San Marcos, Facultad de Odontología.

    2017-01-01

    This article presents a review of the most important aspects from necrotizing periodontal disease, specia-lly about clinical features, diagnostics, etiology, evolution, prognose and treatment. Se presenta una revisión de las enfermedades periodontales necrotizantes (EPN), sintetizando los aspec-tos clínicos, criterios de diagnóstico, etiología, evolución, diagnóstico diferencial, pronóstico y trata-miento.

  13. MAMA Software Features: Visual Examples of Quantification

    Energy Technology Data Exchange (ETDEWEB)

    Ruggiero, Christy E. [Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Porter, Reid B. [Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

    2014-05-20

    This document shows examples of the results from quantifying objects of certain sizes and types in the software. It is intended to give users a better feel for some of the quantification calculations, and, more importantly, to help users understand the challenges with using a small set of ‘shape’ quantification calculations for objects that can vary widely in shapes and features. We will add more examples to this in the coming year.

  14. Imaging features of foot osteoid osteoma

    Energy Technology Data Exchange (ETDEWEB)

    Shukla, Satyen; Clarke, Andrew W.; Saifuddin, Asif [Royal National Orthopaedic Hospital NHS Trust, Department of Radiology, Stanmore, Middlesex (United Kingdom)

    2010-07-15

    We performed a retrospective review of the imaging of nine patients with a diagnosis of foot osteoid osteoma (OO). Radiographs, computed tomography (CT) and magnetic resonance imaging (MRI) had been performed in all patients. Radiographic features evaluated were the identification of a nidus and cortical thickening. CT features noted were nidus location (affected bone - intramedullary, intracortical, subarticular) and nidus calcification. MRI features noted were the presence of an identifiable nidus, presence and grade of bone oedema and whether a joint effusion was identified. Of the nine patients, three were female and six male, with a mean age of 21 years (range 11-39 years). Classical symptoms of OO (night pain, relief with aspirin) were identified in five of eight (62.5%) cases (in one case, the medical records could not be retrieved). In five patients the lesion was located in the hindfoot (four calcaneus, one talus), while four were in the mid- or forefoot (two metatarsal and two phalangeal). Radiographs were normal in all patients with hindfoot OO. CT identified the nidus in all cases (89%) except one terminal phalanx lesion, while MRI demonstrated a nidus in six of nine cases (67%). The nidus was of predominantly intermediate signal intensity on T1-weighted (T1W) sequences, with intermediate to high signal intensity on T2-weighted (T2W) sequences. High-grade bone marrow oedema, limited to the affected bone and adjacent soft tissue oedema was identified in all cases. In a young patient with chronic hindfoot pain and a normal radiograph, MRI features suggestive of possible OO include extensive bone marrow oedema limited to one bone, with a possible nidus demonstrated in two-thirds of cases. The presence or absence of a nidus should be confirmed with high-resolution CT. (orig.)

  15. Clinical Features and Treatments of Odontogenic Sinusitis

    OpenAIRE

    Lee, Kyung Chul; Lee, Sung Jin

    2010-01-01

    Purpose The aim of this study was to investigate how clinical features such as sex, age, etiologic factors, and presenting symptoms of odontogenic sinusitis are differentiated from other types of sinusitis. Also, this study was designed to find methods for reducing the incidence of odontogenic sinusitis. Materials and Methods A retrospective chart analysis was completed on twenty-seven patients with odontogenic sinusitis. They were all treated at Kangbuk Samsung Hospital between February 2006...

  16. Quick survey of smartphone features and functions.

    Science.gov (United States)

    Fox, Brent I; Felkey, Bill G

    2014-06-01

    What do you do when you leave the house without your smartphone? Do you sleep with it beside your bed? For us, these devices are as much a part of our lives as the belts around our waists. But, how long has it been since you surveyed the market? We provide a topical update on the current features and functions of these immensely important devices.

  17. Imaging features of juxtacortical chondroma in children

    Energy Technology Data Exchange (ETDEWEB)

    Miller, Stephen F. [St. Jude Children' s Research Hospital, Department of Radiological Sciences, Memphis, TN (United States)

    2014-01-15

    Juxtacortical chondroma is a rare benign bone lesion in children. Children usually present with a mildly painful mass, which prompts diagnostic imaging studies. The rarity of this condition often presents a diagnostic challenge. Correct diagnosis is crucial in guiding surgical management. To describe the characteristic imaging findings of juxtacortical chondroma in children. We identified all children who were diagnosed with juxtacortical chondroma between 1998 and 2012. A single experienced pediatric radiologist reviewed all diagnostic imaging studies, including plain radiographs, CT, MR and bone scans. Seven children (5 boys and 2 girls) with juxtacortical chondroma were identified, ranging in age from 6 years to 16 years (mean 12.3 years). Mild pain and a palpable mass were present in all seven children. Plain radiographs were available in 6/7, MR in 7/7, CT in 4/7 and skeletal scintigraphy in 5/7 children. Three lesions were located in the proximal humerus, with one each in the distal radius, distal femur, proximal tibia and scapula. Radiographic and CT features deemed highly suggestive of juxtacortical chondroma included cortical scalloping, underlying cortical sclerosis and overhanging margins. MRI features consistent with juxtacortical chondroma included isointensity to skeletal muscle on T1, marked hyperintensity on T2 and peripheral rim enhancement after contrast agent administration. One of seven lesions demonstrated intramedullary extension, and 2/7 showed adjacent soft-tissue edema. Juxtacortical chondroma is an uncommon benign lesion in children with characteristic features on plain radiographs, CT and MR. Recognition of these features is invaluable in guiding appropriate surgical management. (orig.)

  18. Fatigue behavior of ADI: Some specific features

    Energy Technology Data Exchange (ETDEWEB)

    Svejcar, J.; Vechet, S.; Pokluda, J. [Technical Univ. of Brno (Czech Republic). Faculty of Mechanical Engineering

    1997-12-31

    The paper summarizes the results of fatigue tests on austempered ductile iron. Attention is mainly focused on the effect of graphite on crack propagation and on some irregularities exhibited by ADI and other ductile irons, e.g., some specific features of fatigue fracture (especially the occurrence of fatigue striations on intergranular facets), decrease of fatigue limit with increasing UTS, and anomalous dependence of loading cycle amplitude on mean cycle stress.

  19. Juvenile myoclonic epilepsy: clinical and EEG features

    DEFF Research Database (Denmark)

    Pedersen, S B; Petersen, K A

    1998-01-01

    We aimed to characterize the clinical profile and EEG features of 43 patients with juvenile myoclonic epilepsy. In a retrospective design we studied the records of, and re-interviewed, 43 patients diagnosed with JME from the epilepsy clinic data base. Furthermore, available EEGs were re-evaluated...... were sleep deprivation (84%), stress (70%), and alcohol consumption (51%). EEG findings included rapid spike-wave and polyspike-wave....

  20. GENOMIC FEATURES OF COTESIA PLUTELLAE POLYDNAVIRUS

    Institute of Scientific and Technical Information of China (English)

    LIUCai-ling; ZHUXiang-xiong; FuWen-jun; ZHAOMu-jun

    2003-01-01

    Polydnavirus was purified from the calyx fluid of Cotesia plutellae ovary. The genomic features of C. plutellae polydnavirus (CpPDV) were investigated. The viral genome consists of at least 12 different segments and the aggregate genome size is a lower estimate of 80kbp. By partial digestion of CpPDV DNA with BamHI and subsequent ligation with BamHI-cut plasmid Bluescript, a representative library of CpPDV genome was obtained.

  1. New spectral features from bound dark matter

    Science.gov (United States)

    Catena, Riccardo; Kouvaris, Chris

    2016-07-01

    We demonstrate that dark matter particles gravitationally bound to the Earth can induce a characteristic nuclear recoil signal at low energies in direct detection experiments. The new spectral feature that we predict can provide a complementary verification of dark matter discovery at experiments with positive signal but unclear background. The effect is generically expected, in that the ratio of bound over halo dark matter event rates at detectors is independent of the dark matter-nucleon cross section.

  2. Introduction: Features of environmental sustainability in agriculture

    DEFF Research Database (Denmark)

    Dalgaard, Tommy; Ferrari, S; Rambonilaza, M

    2006-01-01

    This introductive paper aims to address the features of environmental sustainability in agriculture. Recent developments of the concept, which are discussed here, emphasise its multi-faceted nature and lead to various definitions as well as to different implications for policy measures in society....... On the basis of all the papers presented in this Special Issue, we draw some perspectives for future research on the topic....

  3. Straight line feature based image distortion correction

    Institute of Scientific and Technical Information of China (English)

    Zhang Haofeng; Zhao Chunxia; Lu Jianfeng; Tang Zhenmin; Yang Jingyu

    2008-01-01

    An image distortion correction method is proposed, which uses the straight line features. Many parallel lines of different direction from different images were extracted, and then were used to optimize the distortion parameters by nonlinear least square. The thought of step by step was added when the optimization method working. 3D world coordi-nation is not need to know, and the method is easy to implement. The experiment result shows its high accuracy.

  4. Projecting WEIRD features on ancient religions.

    Science.gov (United States)

    Boyer, Pascal; Baumard, Nicolas

    2016-01-01

    The proposed narrative relies on an anachronistic projection of current religions onto prehistorical and historical cultures that were not concerned with prosocial morality or with public statement of belief. Prosocial morality appeared in wealthier post-Axial environments. Public demonstrations of belief are possible and advantageous when religious diversity starts interacting with coalitional recruitment dynamics in large-scale societies, a typical feature of modern, so-called WEIRD societies.

  5. MR imaging features of craniodiaphyseal dysplasia

    Energy Technology Data Exchange (ETDEWEB)

    Marden, Franklin A. [Mallinckrodt Institute of Radiology, Washington University Medical Center, 510 South Kingshighway Blvd., MO 63110, St. Louis (United States); Department of Radiology, St. Louis Children' s Hospital, Children' s Place, MO 63110, St. Louis (United States); Wippold, Franz J. [Mallinckrodt Institute of Radiology, Washington University Medical Center, 510 South Kingshighway Blvd., MO 63110, St. Louis (United States); Department of Radiology, St. Louis Children' s Hospital, Children' s Place, MO 63110, St. Louis (United States); Department of Radiology/Nuclear Medicine, F. Edward Hebert School of Medicine, Uniformed Services University of the Health Sciences, MD 20814, Bethesda (United States)

    2004-02-01

    We report the magnetic resonance (MR) imaging findings in a 4-year-old girl with characteristic radiographic and computed tomography (CT) features of craniodiaphyseal dysplasia. MR imaging exquisitely depicted cranial nerve compression, small foramen magnum, hydrocephalus, and other intracranial complications of this syndrome. A syrinx of the cervical spinal cord was demonstrated. We suggest that MR imaging become a routine component of the evaluation of these patients. (orig.)

  6. Unconstrained Face Verification using Deep CNN Features

    OpenAIRE

    Chen, Jun-Cheng; Patel, Vishal M.; Chellappa, Rama

    2015-01-01

    In this paper, we present an algorithm for unconstrained face verification based on deep convolutional features and evaluate it on the newly released IARPA Janus Benchmark A (IJB-A) dataset. The IJB-A dataset includes real-world unconstrained faces from 500 subjects with full pose and illumination variations which are much harder than the traditional Labeled Face in the Wild (LFW) and Youtube Face (YTF) datasets. The deep convolutional neural network (DCNN) is trained using the CASIA-WebFace ...

  7. Acceptance and Commitment Therapy: Distinctive Features

    OpenAIRE

    Flaxman, Paul E.; Blackledge, J. T.; Bond, Frank W.

    2010-01-01

    What are the distinctive theoretical and practical features of acceptance and commitment therapy? Acceptance and commitment therapy (ACT) is a modern behaviour therapy that uses acceptance and mindfulness interventions alongside commitment and behaviour change strategies to enhance psychological flexibility. Psychological flexibility refers to the ability to contact the present moment and change or persist in behaviour that serves one’s personally chosen values. Divided into two secti...

  8. SOME FEATURES OF PERCEPTION OF SCREEN SOUND

    Directory of Open Access Journals (Sweden)

    Poznin Vitaly F.

    2016-12-01

    Full Text Available The article explores the specifics psychological features of a viewer's perception of screen image and screen sound. Also it reveals the degree of an artistic convention which is necessary for creating the sound image in films. Using extensive empirical material, the author explores the evolution of sound aesthetics in movies and he analyzes some aspects of the interaction between technological and creative parts of the on-screen sounds.

  9. Roentgenologic features of the Meckel syndrome

    Energy Technology Data Exchange (ETDEWEB)

    Seppaenen, U.; Herva, R.

    1983-09-21

    The Meckel syndrome is an autosomal recessive lethal malformation syndrome. The main features are multicystic dysplastic kidneys, microcephaly with occipital encephalocele and polydactyly. This paper describes 6 new cases, with special reference to skeletal findings in postmortem total body radiographs Microcephaly with an occipital bone defect and encephalocele or hydrocephaly (1/6), short upper extremities, bell-shaped thorax with abdominal distension and postaxial polydactyly in the hands and feet were constant findings in these cases.

  10. The Gothic Features in Great Expectations

    Institute of Scientific and Technical Information of China (English)

    DAI Jia-xuan

    2014-01-01

    As one of the most well-known novels of Charles Dickens, it is difficult to define one single specific genre for Great Expectations. It is widely recognized as a bildungsroman and realistic fiction and social criticism. In addition to all these genres, we can also identify many intriguing features of Gothic novel. This paper is devoted to interpreting the Gothic characteristics of Great Expectations, and particularly, settings characters, and the narration of the novel are the major focuses of analysis.

  11. Landscape features of Kislovodsk medical park

    Directory of Open Access Journals (Sweden)

    А. P. Kazankin

    2015-12-01

    Full Text Available An attempt to reveal some of the unique features of the Kislovodsk medical park landscape and explain reasons for its beneficial effects on human health, which could serve as one of the arguments to justify giving the park the status of specially protected area have been done in the paper. It marked features of the climate of the park, reminiscent of the features of the monsoon – a dry winter and a moderately humid summers. It’s stated, that one of the main features of the landscape of the park is the presence of layers of the upper and lower Cretaceous (former biosphere by V. I. Vernadsky in which biogeochemical information for many tens of millions of years is compressed. Rocks, coming to the surface, creating a polypaleobiospheris structure of the park. The data on the influence of the chemical composition of rocks (former biospheres on forest and meadow-steppe formation are presented. It is shown, that the same rock formed a close relationship Ca and Mg in the soil absorbing complex mountain-meadow chernozem (mould humus and forest soils in the area of nutrition sources and mineral water to a depth of tens of meters in Kislovodsk. It emphasizes the potential of the park selection plants (800 species of herbaceous and more than 250 species and varieties of trees and shrubs volatile compounds that reflect the biogeochemical characteristics of rock ten tiers of the lower and upper Cretaceous. The geological age of various rocks is recommended to consider with forest plantation and forest typological zoning and development. It is considered appropriate to introduce under the canopy of artificial plants useful forest plants. It’s offered to include in the park area Kislovodsk forestry district and all forests within the boundaries of mountain-sanitary protection zone of the Caucasian Mineral Waters resorts.

  12. Analysis of the Features of Network Words

    Institute of Scientific and Technical Information of China (English)

    阳艳萍

    2015-01-01

    The information society makes people’s lives gradually enter a digital state for living. And the popularity of the Inter⁃net has led to the unique phenomenon of network words. What impact will network and the combination of language bring about? This article will explore the relation between the phenomenon of network words and social context from the angle of so⁃cial linguistic through the analysis of network words and grammatical features.

  13. Ultrasonographic features of focal xanthogranulomatous pyelonephritis

    Energy Technology Data Exchange (ETDEWEB)

    Kim, Jong Chul [Chungnam National University Hospital, Daejeon (Korea, Republic of)

    2003-09-15

    To analyze ultrasonographic (US) features of focal xanthogranulomatous pyelonephritis (XGP). US features of 15 patients with pathologically proven focal XGP were retrospectively analyzed by two radiologists who reached a consensus, in terms of the location, margin, size, and echo texture of the mass-like lesion, and presence or absence of associated calculi, lymphadenopathy, or local extension. These US findings were compared with CT findings. The patients were checked for the clinical symptom and sign through the review of hospital records. Thirteen of 15 patients were adults and 2 were children, and 10 were males. Their age ranged from 6 to 57 (mean, 39) years at presentation. Eight of 15 cases (53%) were in right kidney, and on US scan 12 cases (80%) were well circumscribed. The size of the mass ranged from 2.5 to 5.8 (mean, 3.8) cm. Of 15 masses, 13 (87%) were solid and two were cystic. Thirteen solid masses were composed of 10 masses (77%) with inner hypo- or anechoic foci and the other three masses without inner hypo- or anechoic foci, and the preoperative diagnosis was either renal cell carcinoma (n=11) or Wilms' tumor (n=2). The preoperative diagnosis in two cystic lesions (13%) was renal abscess. Renal calculi were found in one case, but lymphadenopathy or local extension was not depicted. Clinical symptoms and signs of flank pain, fever, leukocytosis, or anemia were found in 11 of 15 patients. Focal XGP revealed US features of solid or cystic masses confined within the renal outline mimicking renal tumor or abscess. US features, however, in association with clinical findings and other imaging findings (such as CT or MR imaging) may help the differential diagnosis of this lesion.

  14. Feature Extraction for Structural Dynamics Model Validation

    Energy Technology Data Exchange (ETDEWEB)

    Farrar, Charles [Los Alamos National Laboratory; Nishio, Mayuko [Yokohama University; Hemez, Francois [Los Alamos National Laboratory; Stull, Chris [Los Alamos National Laboratory; Park, Gyuhae [Chonnam Univesity; Cornwell, Phil [Rose-Hulman Institute of Technology; Figueiredo, Eloi [Universidade Lusófona; Luscher, D. J. [Los Alamos National Laboratory; Worden, Keith [University of Sheffield

    2016-01-13

    As structural dynamics becomes increasingly non-modal, stochastic and nonlinear, finite element model-updating technology must adopt the broader notions of model validation and uncertainty quantification. For example, particular re-sampling procedures must be implemented to propagate uncertainty through a forward calculation, and non-modal features must be defined to analyze nonlinear data sets. The latter topic is the focus of this report, but first, some more general comments regarding the concept of model validation will be discussed.

  15. SAPHIRE 8 New Features and Capabilities

    Energy Technology Data Exchange (ETDEWEB)

    Curtis Smith

    2008-08-01

    The Systems Analysis Programs for Hands-on Integrated Reliability Evaluations (SAPHIRE) software performs probabilistic risk assessment (PRA) calculations. SAPHIRE is used in support of NRC’s risk-informed programs such as the Accident Sequence Precursor (ASP) program, Management Directive 8.3, “NRC Incident Investigation Program,” or the Significance Determination Process (SDP). It is also used to develop and run the Standardized Plant Analysis Risk (SPAR) models. SAPHIRE Version 8 is a new version of the software with an improved interface and capabilities to support risk-informed programs. SAPHIRE Version 8 is designed to easily handle larger and more complex models. Applications of previous SAPHIRE versions indicated the need to build and solve models with a large number of sequences. Risk assessments that include endstate evaluations for core damage frequency and large, early release frequency evaluations have greatly increased the number of sequences required. In addition, the complexity of the models has increased since risk assessments evaluate both potential internal and external events, as well as different plant operational states. Special features of SAPHIRE 8 help create and run integrated models which may be composed of different model types. SAPHIRE 8 includes features and capabilities that are new or improved over the current Version 7 to address the new requirements for risk-informed programs and SPAR models. These include: • Improved User Interfaces • Model development • Methods • General Support Features

  16. Testing of Critical Features of Polysilicon MEMS

    Energy Technology Data Exchange (ETDEWEB)

    LAVAN,DAVID A.; BUCHHEIT,THOMAS E.

    1999-12-02

    The behavior of MEMS devices is limited by the strength of critical features such as thin ligaments, oxide cuts joining layers, pin joints and hinges. Devices fabricated at Sandia's Microelectronic Development Laboratory have been successfully tested to investigate these features. A series of measurements were performed on samples with gage lengths of 15 to 1000 microns, using conventional and tungsten coated samples as well as samples that include the critical features of standard components in the test section. Specimens have a freely moving pin joint on one end that anchors the sample to the silicon die to allow rotation to reduce effects of bending. Each sample is loaded in uniaxial tension by pulling laterally with a flat tipped diamond in a computer-controlled Nanoindenter. Load is calculated by resolving the measured lateral and normal forces into the applied tensile force and frictional losses. The specimen cross section and gage length dimensions were verified by measuring against a standard in the SEM. Multiple tests can be programmed at one time and performed without operator assistance allowing the collection of significant populations of data.

  17. Feature saltation and the evolution of mimicry.

    Science.gov (United States)

    Gamberale-Stille, Gabriella; Balogh, Alexandra C V; Tullberg, Birgitta S; Leimar, Olof

    2012-03-01

    In Batesian mimicry, a harmless prey species imitates the warning coloration of an unpalatable model species. A traditional suggestion is that mimicry evolves in a two-step process, in which a large mutation first achieves approximate similarity to the model, after which smaller changes improve the likeness. However, it is not known which aspects of predator psychology cause the initial mutant to be perceived by predators as being similar to the model, leaving open the question of how the crucial first step of mimicry evolution occurs. Using theoretical evolutionary simulations and reconstruction of examples of mimicry evolution, we show that the evolution of Batesian mimicry can be initiated by a mutation that causes prey to acquire a trait that is used by predators as a feature to categorize potential prey as unsuitable. The theory that species gain entry to mimicry through feature saltation allows us to formulate scenarios of the sequence of events during mimicry evolution and to reconstruct an initial mimetic appearance for important examples of Batesian mimicry. Because feature-based categorization by predators entails a qualitative distinction between nonmimics and passable mimics, the theory can explain the occurrence of imperfect mimicry.

  18. Online Feature Extraction Algorithms for Data Streams

    Science.gov (United States)

    Ozawa, Seiichi

    Along with the development of the network technology and high-performance small devices such as surveillance cameras and smart phones, various kinds of multimodal information (texts, images, sound, etc.) are captured real-time and shared among systems through networks. Such information is given to a system as a stream of data. In a person identification system based on face recognition, for example, image frames of a face are captured by a video camera and given to the system for an identification purpose. Those face images are considered as a stream of data. Therefore, in order to identify a person more accurately under realistic environments, a high-performance feature extraction method for streaming data, which can be autonomously adapted to the change of data distributions, is solicited. In this review paper, we discuss a recent trend on online feature extraction for streaming data. There have been proposed a variety of feature extraction methods for streaming data recently. Due to the space limitation, we here focus on the incremental principal component analysis.

  19. Face imagery is based on featural representations.

    Science.gov (United States)

    Lobmaier, Janek S; Mast, Fred W

    2008-01-01

    The effect of imagery on featural and configural face processing was investigated using blurred and scrambled faces. By means of blurring, featural information is reduced; by scrambling a face into its constituent parts configural information is lost. Twenty-four participants learned ten faces together with the sound of a name. In following matching-to-sample tasks participants had to decide whether an auditory presented name belonged to a visually presented scrambled or blurred face in two experimental conditions. In the imagery condition, the name was presented prior to the visual stimulus and participants were required to imagine the corresponding face as clearly and vividly as possible. In the perception condition name and test face were presented simultaneously, thus no facilitation via mental imagery was possible. Analyses of the hit values showed that in the imagery condition scrambled faces were recognized significantly better than blurred faces whereas there was no such effect for the perception condition. The results suggest that mental imagery activates featural representations more than configural representations.

  20. PHROG: A Multimodal Feature for Place Recognition

    Directory of Open Access Journals (Sweden)

    Fabien Bonardi

    2017-05-01

    Full Text Available Long-term place recognition in outdoor environments remains a challenge due to high appearance changes in the environment. The problem becomes even more difficult when the matching between two scenes has to be made with information coming from different visual sources, particularly with different spectral ranges. For instance, an infrared camera is helpful for night vision in combination with a visible camera. In this paper, we emphasize our work on testing usual feature point extractors under both constraints: repeatability across spectral ranges and long-term appearance. We develop a new feature extraction method dedicated to improve the repeatability across spectral ranges. We conduct an evaluation of feature robustness on long-term datasets coming from different imaging sources (optics, sensors size and spectral ranges with a Bag-of-Words approach. The tests we perform demonstrate that our method brings a significant improvement on the image retrieval issue in a visual place recognition context, particularly when there is a need to associate images from various spectral ranges such as infrared and visible: we have evaluated our approach using visible, Near InfraRed (NIR, Short Wavelength InfraRed (SWIR and Long Wavelength InfraRed (LWIR.

  1. Visually Comparing Weather Features in Forecasts.

    Science.gov (United States)

    Quinan, P Samuel; Meyer, Miriah

    2016-01-01

    Meteorologists process and analyze weather forecasts using visualization in order to examine the behaviors of and relationships among weather features. In this design study conducted with meteorologists in decision support roles, we identified and attempted to address two significant common challenges in weather visualization: the employment of inconsistent and often ineffective visual encoding practices across a wide range of visualizations, and a lack of support for directly visualizing how different weather features relate across an ensemble of possible forecast outcomes. In this work, we present a characterization of the problems and data associated with meteorological forecasting, we propose a set of informed default encoding choices that integrate existing meteorological conventions with effective visualization practice, and we extend a set of techniques as an initial step toward directly visualizing the interactions of multiple features over an ensemble forecast. We discuss the integration of these contributions into a functional prototype tool, and also reflect on the many practical challenges that arise when working with weather data.

  2. MRI features of extraskeletal myxoid chondrosarcoma

    Energy Technology Data Exchange (ETDEWEB)

    Tateishi, Ukihide; Arai, Yasuaki [National Cancer Center Hospital, Division of Diagnostic Radiology, Tokyo (Japan); Hasegawa, Tadashi [Sapporo Medical University School of Medicine, Department of Clinical Pathology, Sapporo (Japan); Nojima, Takayuki [Kanazawa Medical University, Department of Pathology, Ishikawa (Japan); Takegami, Tsutomu [Kanazawa Medical University, Medical Research Institute, Ishikawa (Japan)

    2006-01-01

    To describe the MRI features of extraskeletal myxoid chondrosarcoma in comparison with clinicopathologic findings. The study comprised 12 male subjects and seven female subjects with a mean age of 53 years (range 16-76 years). MRI findings, evaluated by two radiologists with agreement by consensus, were compared for histopathologic features. The tumor size ranged from 2.0 cm to 20.0 cm (mean 8.9 cm). Fusion gene transcripts could be detected in 13 (68%) of the 19 cases: EWS-CHN in nine cases, TAF2N-CHN in three, and TFG-TCH in one. There were six fusion-negative cases. Signal characteristics on T1-weighted and T2-weighted MR images were non-specific with regard to each cytogenetic variant. Peripheral enhancement was seen more frequently in tumors with the EWS-CHN variant than in those with other cytogenetic variants. The characteristic pattern of enhancement corresponded to the presence of fibrous septa and peripheral areas of high cellularity within lobules, by correlation with pathologic findings. All cases with TAF2N-CHN or TFG-TCH variants showed invasion of extracompartmental structure, bone, or vessels. Extraskeletal myxoid chondrosarcoma is an uncommon soft-tissue malignancy that may be recognized by MRI features of multi-lobular soft-tissue mass often invading extracompartmental, bony, and vascular structures. (orig.)

  3. Dermatoscopic features of central centrifugal cicatricial alopecia.

    Science.gov (United States)

    Miteva, Mariya; Tosti, Antonella

    2014-09-01

    No data exist on the dermatoscopic findings in central centrifugal cicatricial alopecia (CCCA). We sought to establish the spectrum of dermatoscopic features and their frequency in CCCA. We retrospectively evaluated 153 nonpolarized dermatoscopic images obtained from 51 women with histologically proven CCCA and established a list of 12 dermatoscopic features that were independently scored for each image. Controls included 30 dermatoscopic images from histologically proven cases of scarring traction alopecia and discoid lupus erythematosus. The receiver operating characteristic curve analysis assessed the specificity and sensitivity; Cohen kappa statistics assessed the agreement. Dermatoscopic pathologic correlations were performed on the horizontal sections of 41 of the 51 specimens, which were obtained with dermatoscopy-guided biopsy procedures. Peripilar white gray halo around the emergence of hairs was observed in 94% of patients and was highly specific and sensitive for CCCA in all clinical stages. It corresponds on pathology to the lamellar fibrosis surrounding the outer root sheath. This was a retrospective study. The presence of a peripilar white halo is a dermatoscopic feature that suggests the diagnosis of CCCA in African American patients with mild central thinning, and it is an optimal site from which to obtain a biopsy specimen. Copyright © 2014 American Academy of Dermatology, Inc. Published by Mosby, Inc. All rights reserved.

  4. Dermoscopic Features of Facial Pigmented Skin Lesions

    Science.gov (United States)

    Goncharova, Yana; Attia, Enas A. S.; Souid, Khawla; Vasilenko, Inna V.

    2013-01-01

    Four types of facial pigmented skin lesions (FPSLs) constitute diagnostic challenge to dermatologists; early seborrheic keratosis (SK), pigmented actinic keratosis (AK), lentigo maligna (LM), and solar lentigo (SL). A retrospective analysis of dermoscopic images of histopathologically diagnosed clinically-challenging 64 flat FPSLs was conducted to establish the dermoscopic findings corresponding to each of SK, pigmented AK, LM, and SL. Four main dermoscopic features were evaluated: sharp demarcation, pigment pattern, follicular/epidermal pattern, and vascular pattern. In SK, the most specific dermoscopic features are follicular/epidermal pattern (cerebriform pattern; 100% of lesions, milia-like cysts; 50%, and comedo-like openings; 37.50%), and sharp demarcation (54.17%). AK and LM showed a composite characteristic pattern named “strawberry pattern” in 41.18% and 25% of lesions respectively, characterized by a background erythema and red pseudo-network, associated with prominent follicular openings surrounded by a white halo. However, in LM “strawberry pattern” is widely covered by psewdonetwork (87.5%), homogenous structureless pigmentation (75%) and other vascular patterns. In SL, structureless homogenous pigmentation was recognized in all lesions (100%). From the above mentioned data, we developed an algorithm to guide in dermoscopic features of FPSLs. PMID:23431466

  5. Complete WMAP Constraints on Bandlimited Inflationary Features

    CERN Document Server

    Dvorkin, Cora

    2011-01-01

    Using a principal component (PC) basis that accommodates order unity features in the slow roll parameters as fine as 1/10 of a decade across more than 2 decades of the inflationary expansion, we test slow roll and single field inflation with the WMAP7 data. Detection of any non-zero component would represent a violation of ordinary slow roll and indicate a feature in the inflaton potential or sound speed. Although one component shows a deviation at the 98% CL, it cannot be considered statistically significant given the 20 components tested. The maximum likelihood PC parameters only improves 2DeltalnL by 17 for the 20 parameters associated with known glitches in the WMAP power spectrum at multipoles l<60. We make model-independent predictions for the matching glitches in the polarization spectrum that would test their inflationary origin. This complete analysis for bandlimited features in the source function of generalized slow roll can be used to constrain parameters of specific models of the inflaton pote...

  6. Novel Feature Selection by Differential Evolution Algorithm

    Directory of Open Access Journals (Sweden)

    Ali Ghareaghaji

    2013-11-01

    Full Text Available Iris scan biometrics employs the unique characteristic and features of the human iris in order to verify the identity of in individual. In today's world, where terrorist attacks are on the rise employment of infallible security systems is a must. This makes Iris recognition systems unavoidable in emerging security. Authentication the objective function is minimized using Differential Evolutionary (DE Algorithm where the population vector is encoded using Binary Encoded Decimal to avoid the float number optimization problem. An automatic clustering of the possible values of the Lagrangian multiplier provides a detailed insight of the selected features during the proposed DE based optimization process. The classification accuracy of Support Vector Machine (SVM is used to measure the performance of the selected features. The proposed algorithm outperforms the existing DE based approaches when tested on IRIS, Wine, Wisconsin Breast Cancer, Sonar and Ionosphere datasets. The same algorithm when applied on gait based people identification, using skeleton data points obtained from Microsoft Kinect sensor, exceeds the previously reported accuracies.

  7. Feature-based attention resolves depth ambiguity.

    Science.gov (United States)

    Yu, D; Levinthal, B; Franconeri, S L

    2016-09-07

    Perceiving the world around us requires that we resolve ambiguity. This process is often studied in the lab using ambiguous figures whose structures can be interpreted in multiple ways. One class of figures contains ambiguity in its depth relations, such that either of two surfaces could be seen as being the "front" of an object. Previous research suggests that selectively attending to a given location on such objects can bias the perception of that region as the front. This study asks whether selectively attending to a distributed feature can also bias that region toward the front. Participants viewed a structure-from-motion display of a rotating cylinder that could be perceived as rotating clockwise or counterclockwise (as imagined viewing from the top), depending on whether a set of red or green moving dots were seen as being in the front. A secondary task encouraged observers to globally attend to either red or green. Results from both Experiment 1 and 2 showed that the dots on the cylinder that shared the attended feature, and its corresponding surface, were more likely to be seen as being in the front, as measured by participants' clockwise versus counterclockwise percept reports. Feature-based attention, like location-based attention, is capable of biasing competition among potential interpretations of figures with ambiguous structure in depth.

  8. Ecodesigning with CAD Features: Analysis and Proposals

    Directory of Open Access Journals (Sweden)

    Raoudha Gaha

    2013-01-01

    Full Text Available The integration of environmental aspects in design frameworks has become a necessity for manufacturers to maintain their market position. This is especially true in the Computer Aided Design (CAD phase, which is the last phase in the design process. At this stage, more than 80% of choices have been made. However, the environmental impacts generated by the remaining choices are significant. Features Technology (FT, the core of the CAD phase, is used to integrate environmental aspects. This paper presents a literature review of different works based on FT to ecodesign products. First, we present an overview of features in CAD systems. Second, we present a critical review of works done on ecodesigning with features that we divide into two subsections: the first one concerns CAD-Life Cycle Assessment (LCA integration (methodologies, prototype tools, and commercial tools, and the second one, works using FT in CAD phase to reduce the environmental impact of one life cycle stage such as material selection or manufacturing. Finally, we propose an approach based on FT for ecodesigning products to promote simple new ecodesign tools which will help the inexperienced designer.

  9. Adaptive feature selection for hyperspectral data analysis

    Science.gov (United States)

    Korycinski, Donna; Crawford, Melba M.; Barnes, J. Wesley

    2004-02-01

    Hyperspectral data can potentially provide greatly improved capability for discrimination between many land cover types, but new methods are required to process these data and extract the required information. Data sets are extremely large, and the data are not well distributed across these high dimensional spaces. The increased number and resolution of spectral bands, many of which are highly correlated, is problematic for supervised statistical classification techniques when the number of training samples is small relative to the dimension of the input vector. Selection of the most relevant subset of features is one means of mitigating these effects. A new algorithm based on the tabu search metaheuristic optimization technique was developed to perform subset feature selection and implemented within a binary hierarchical tree framework. Results obtained using the new approach were compared to those from a greedy common greedy selection technique and to a Fisher discriminant based feature extraction method, both of which were implemented in the same binary hierarchical tree classification scheme. The tabu search based method generally yielded higher classification accuracies with lower variability than these other methods in experiments using hyperspectral data acquired by the EO-1 Hyperion sensor over the Okavango Delta of Botswana.

  10. Misalignment between chromospheric features and magnetic field

    CERN Document Server

    Martínez-Sykora, Juan; Carlsson, Mats; Hansteen, Viggo

    2016-01-01

    Observations of the upper chromosphere shows an enormous amount of intricate fine structure. Much of this comes in the form of linear features which are most often assumed to be well aligned with the direction of the magnetic field in the low plasma beta regime thought to dominate the upper chromosphere. We use advanced radiative MHD simulations including the effects of ion-neutral interactions (using the generalized Ohm's law) in the partially ionized chromosphere to show that the magnetic field is often not well aligned with chromospheric features. This occurs where the ambipolar diffusion is large, i.e., ions and neutral populations decouple as the ion-neutral collision frequency drops allowing the field to slip through the neutral population, currents perpendicular to the field are strong, and thermodynamic timescales are longer than or similar to the those of ambipolar diffusion. We find this often happens in dynamic spicule or fibril-like features at the top of the chromosphere. This has important conse...

  11. Clinical and Pathological Features of Riedel's Thyroiditis

    Institute of Scientific and Technical Information of China (English)

    Lin Lu; Feng Gu; Wei-xin Dai; Wu-yi Li; Jie Chen; Yu Xiao; Zheng-pei Zeng

    2010-01-01

    Objective To evaluate the clinical and pathological features of Riedel's thyroiditis (RT), and current diagnostic and treatment methods for that disease.Methods Five RT cases identified by surgery and pathological examinations at Peking Union Medi-cal College Hospital from 1985 to 2009 were analyzed and compared with the cases reported in the litera-ture in terms of clinical and pathological features. Immunohistochemical staining of kappa and lambda light chains was carried out for RT tissues from all the five patients.Results All the five cases were females, aged 45-55 years. Elevation of serum thyroid autoantibodies was found in only one patient, who had longer disease duration than the others. Pathological examination re-vealed invasive fibrosclerosis of the thyroid follicles, thyroid capsule, and the surrounding tissues. In RT tis-sues, the number of cells containing lambda chains was a little higher than those containing kappa chains.Conclusions RT is a rare disease which might be more common in middle-aged females than in other populations. Pathological features include the destruction of thyroid follicle, extension into surround-ing tissues by inflammatory cells and fibrous tissues. Immunohistochemical staining of kappa and lambda chains could help diagnose RT.

  12. Multispectral Palmprint Recognition Using a Hybrid Feature

    CERN Document Server

    Mistani, Sina Akbari; Fatemizadeh, Emad

    2011-01-01

    Personal identification problem has been a major field of research in recent years. Biometrics-based technologies that exploit fingerprints, iris, face, voice and palmprints, have been in the center of attention to solve this problem. Palmprints can be used instead of fingerprints that have been of the earliest of these biometrics technologies. A palm is covered with the same skin as the fingertips but has a larger surface, giving us more information that the fingertips. The major features of the palm are palm-lines, including principal lines, wrinkles and ridges. Using these lines is one of the most popular approaches towards solving palmprint recognition problem. Another robust feature is the wavelet energy of palms. In this paper, we used a hybrid of these two features. Moreover, multispectral analysis is applied to improve the performance of the system. Main steps of our approach are: extracting principal lines and computing wavelet transform of the palm, computing block-based power of the resulting image...

  13. Ophthalmic imaging features of posterior scleritis

    Directory of Open Access Journals (Sweden)

    Zhi Li

    2014-07-01

    Full Text Available AIM: To analyze, summarize and describe ophthalmic imaging features of posterior scleritis. METHODS: Clinical data of 16 patients(21 eyeswith posterior scleritis diagnosed in our hospital from October 2008 to June 2013 were retrospectively analyzed. The results of type-B ultrasonic, fundus chromophotograph, fundus fluorescein angiography, CT were recorded for comprehensive evaluation and analysis of ophthalmic imaging features of posterior scleritis. RESULTS: All patients underwent type-B ultrasonic examination and manifested as diffuse and nodular types. The diffuse type showed diffusely thickened sclera and a dark hypoechoic area that connected with the optic nerve to form a typical “T”-shaped sign. The nodular type showed scleral echogenic nodules and relatively regular internal structure. FFA showed that relatively weak mottled fluorescences were visible in the arterial early phase and strong multiple needle-like fluorescences were visible in the arteriovenous phase, which were then progressively larger and fused; fluorescein was leaked to the subretinal tissue in the late phase; varying degrees of strong fluorescences with less clear or unclear boundaries were visible in the optic disk. CT results showed thickened eyeball wall. CONCLUSION: Posterior scleritis is common in young female patients, whose ophthalmic imaging features are varied and more specific in type-B ultrasonic. Selection of rational ophthalmic imaging examination method, combined with clinical manifestations, can accurately diagnose posterior scleritis and avoid the incidence of missed and delayed diagnosis.

  14. Journalistic English and Features of Its Interpretation

    Institute of Scientific and Technical Information of China (English)

    王艳蓉

    2005-01-01

    Journalistic English, one of the most important varieties of English, can be taken as the best integration of various means in reporting the news. With its distinctive features, journalistic English has established itself as a most popular genre in English. Well, interpretation has a long history, which can date back to the beginning of human society. During the development of human society, interpretation activity becomes as lubricating oil, which helps the whole society go forward. At the mean time, it also performances as catalyst in the activity of cross-nation or cross-culture communication. As our country developing, it becomes more active on the international platform, and plays a more important role in various area in the world, such as politics, economics, trade, sports, and so on, therefore build the country's good image is a most important task. Through journalistic English by the way of interpretation to show the development of our country to the world has become one of the significant means of modern communication to the outside world. This paper will begin its discussion by exploring the essential features of news, which will lead to the key discussion of the stylistic of journalistic English, and the features of its interpretation through some examples. It also promotes some qualities that the interpreters who do the related work should have. Such discussions may offer a deep impression to the journalistic English.

  15. LBT Distributed Archive: Status and Features

    Science.gov (United States)

    Knapic, C.; Smareglia, R.; Thompson, D.; Grede, G.

    2011-07-01

    After the first release of the LBT Distributed Archive, this successful collaboration is continuing within the LBT corporation. The IA2 (Italian Center for Astronomical Archive) team had updated the LBT DA with new features in order to facilitate user data retrieval while abiding by VO standards. To facilitate the integration of data from any new instruments, we have migrated to a new database, developed new data distribution software, and enhanced features in the LBT User Interface. The DBMS engine has been changed to MySQL. Consequently, the data handling software now uses java thread technology to update and synchronize the main storage archives on Mt. Graham and in Tucson, as well as archives in Trieste and Heidelberg, with all metadata and proprietary data. The LBT UI has been updated with additional features allowing users to search by instrument and some of the more important characteristics of the images. Finally, instead of a simple cone search service over all LBT image data, new instrument specific SIAP and cone search services have been developed. They will be published in the IVOA framework later this fall.

  16. Linguistic Features of Humor in Academic Writing

    Directory of Open Access Journals (Sweden)

    Stephen Skalicky

    2016-06-01

    Full Text Available A corpus of 313 freshman college essays was analyzed in order to better understand the forms and functions of humor in academic writing. Human ratings of humor and wordplay were statistically aggregated using Factor Analysis to provide an overall Humor component score for each essay in the corpus. In addition, the essays were also scored for overall writing quality by human raters, which correlated (r = .195 with the humor component score. Correlations between the humor component scores and linguistic features were examined. To investigate the potential for linguistic features to predict the Humor component scores, regression analysis identified four linguistic indices that accounted for approximately 17.5% of the variance in humor scores. These indices were related to text descriptiveness (i.e., more adjective and adverb use, lower cohesion (i.e., less paragraph-to-paragraph similarity, and lexical sophistication (lower word frequency. The findings suggest that humor can be partially predicted by linguistic features in the text. Furthermore, there was a small but significant correlation between the humor and essay quality scores, suggesting a positive relation between humor and writing quality.Keywords: humor, academic writing, text analysis, essay score, human rating

  17. Perceptual approaches to finding features in data

    Science.gov (United States)

    Rogowitz, Bernice E.

    2013-03-01

    Electronic imaging applications hinge on the ability to discover features in data. For example, doctors examine diagnostic images for tumors, broken bones and changes in metabolic activity. Financial analysts explore visualizations of market data to find correlations, outliers and interaction effects. Seismologists look for signatures in geological data to tell them where to drill or where an earthquake may begin. These data are very diverse, including images, numbers, graphs, 3-D graphics, and text, and are growing exponentially, largely through the rise in automatic data collection technologies such as sensors and digital imaging. This paper explores important trends in the art and science of finding features in data, such as the tension between bottom-up and top-down processing, the semantics of features, and the integration of human- and algorithm-based approaches. This story is told from the perspective of the IS and T/SPIE Conference on Human Vision and Electronic Imaging (HVEI), which has fostered research at the intersection between human perception and the evolution of new technologies.

  18. Improving Music Genre Classification by Short-Time Feature Integration

    DEFF Research Database (Denmark)

    Meng, Anders; Ahrendt, Peter; Larsen, Jan

    2005-01-01

    of seconds instead of milliseconds. The problem of making new features on the larger time scale from the short-time features (feature integration) has only received little attention. This paper investigates different methods for feature integration and late information fusion for music genre classification....... A new feature integration technique, the AR model, is proposed and seemingly outperforms the commonly used mean-variance features....

  19. Efficient Generation and Selection of Combined Features for Improved Classification

    KAUST Repository

    Shono, Ahmad N.

    2014-05-01

    This study contributes a methodology and associated toolkit developed to allow users to experiment with the use of combined features in classification problems. Methods are provided for efficiently generating combined features from an original feature set, for efficiently selecting the most discriminating of these generated combined features, and for efficiently performing a preliminary comparison of the classification results when using the original features exclusively against the results when using the selected combined features. The potential benefit of considering combined features in classification problems is demonstrated by applying the developed methodology and toolkit to three sample data sets where the discovery of combined features containing new discriminating information led to improved classification results.

  20. Clinicopathologic features of intestinal natural killer/T-cell lymphoma

    Institute of Scientific and Technical Information of China (English)

    周军

    2013-01-01

    Objective To study the clinicopathologic features,diagnosis and differential diagnosis of intestinal natural killer(NK)/T-cell lymphoma.Methods The clinical features,histopathology,immunohistochemical