WorldWideScience

Sample records for body build classification

  1. Body Build Satisfaction and the Congruency of Body Build Perceptions.

    Science.gov (United States)

    Hankins, Norman E.; Bailey, Roger C.

    1979-01-01

    Females were administered the somatotype rating scale. Satisfied subjects showed greater congruency between their own and wished-for body build, and greater congruency between their own and friend/date body builds, but less congruency between their own body build and the female stereotype. (Author/BEF)

  2. Body Building on Diamonds

    Institute of Scientific and Technical Information of China (English)

    Andrei P. Sommer; Dan Zhu; Tim Scharnweber; Hans-Joerg Fecht

    2009-01-01

    Whereas conservative therapies aim to stall the advance of disease, regenerative medicine strives to reverse it. The capacity of most tissues to regenerate derives from stem cells, but there are a number of barriers which have to be circumvented before it will be possible to use stem-cell-based therapies. Such therapies, however, are expected to improve human health enormously,and knowledge gained from studying stem cells in culture and in model organisms is now laying the groundwork for a new era of regenerative medicine. One of the most prominent methods to study stem cell differentiation is to let them to form embryoid bodies. Under favourable conditions any stem cell line will form embryoid bodies. However, the mechanism of the formation of embryoid bodies is not very well understood, and to produce them in the laboratory is in no way trivial - an important technical barrier in stem cell research. Recently, the embryoid body cultivation step has been successfully circumvented for the derivation of osteogenic cultures of embryonic stem cells. Here we report on a simple and reusable system to cultivate embryoid bodies in extremely short times. The method is inspired by the principles that lead to the establishment of the biomimetic triangle.

  3. Machine-learning methods in the classification of water bodies

    Directory of Open Access Journals (Sweden)

    Sołtysiak Marek

    2016-06-01

    Full Text Available Amphibian species have been considered as useful ecological indicators. They are used as indicators of environmental contamination, ecosystem health and habitat quality., Amphibian species are sensitive to changes in the aquatic environment and therefore, may form the basis for the classification of water bodies. Water bodies in which there are a large number of amphibian species are especially valuable even if they are located in urban areas. The automation of the classification process allows for a faster evaluation of the presence of amphibian species in the water bodies. Three machine-learning methods (artificial neural networks, decision trees and the k-nearest neighbours algorithm have been used to classify water bodies in Chorzów – one of 19 cities in the Upper Silesia Agglomeration. In this case, classification is a supervised data mining method consisting of several stages such as building the model, the testing phase and the prediction. Seven natural and anthropogenic features of water bodies (e.g. the type of water body, aquatic plants, the purpose of the water body (destination, position of the water body in relation to any possible buildings, condition of the water body, the degree of littering, the shore type and fishing activities have been taken into account in the classification. The data set used in this study involved information about 71 different water bodies and 9 amphibian species living in them. The results showed that the best average classification accuracy was obtained with the multilayer perceptron neural network.

  4. Classification of Building Object Types

    DEFF Research Database (Denmark)

    Jørgensen, Kaj Asbjørn

    2011-01-01

    Development of the existing classification systems has been very difficult and time consuming tasks, where many considerations have been taken and many compromises have been made. The results reveal that, although the theoretical foundation was clarified, many deviations and shortcuts have been...... made. This is certainly the case in the Danish development. Based on the theories about these abstraction mechanisms, the basic principles for classification systems are presented and the observed misconceptions are analyses and explained. Furthermore, it is argued that the purpose of classification...

  5. Palestra e identità: fra body building, body social building e body building society

    Directory of Open Access Journals (Sweden)

    LASTRICO, Valerio

    2016-06-01

    Full Text Available This paper presents the results of an ethnographic research conducted in a bodybuilding gym where the author was working out. The analysis focuses on those who, according to the data gathered through participant observation, are identified as “real bodybuilders” namely: those who put their “ideal body” reference as a totalizing element of their identity. The aim of the research is to show how such individuals, once they have chosen an ideal body model – a model which is not hegemonic within society as whole – use it as a frame for almost all their cognitive representations and social interactions (gender, leadership, rituals, world classification and so on. It is mainly the body to provide a means of identification to this competitive subculture which is quite cohesive in terms of lifestyles and it also provides a means of individuation through its particular construction as well as presumed authority in terms of expertise readable as a form of power/knowledge.

  6. Building the United States National Vegetation Classification

    Science.gov (United States)

    Franklin, S.B.; Faber-Langendoen, D.; Jennings, M.; Keeler-Wolf, T.; Loucks, O.; Peet, R.; Roberts, D.; McKerrow, A.

    2012-01-01

    The Federal Geographic Data Committee (FGDC) Vegetation Subcommittee, the Ecological Society of America Panel on Vegetation Classification, and NatureServe have worked together to develop the United States National Vegetation Classification (USNVC). The current standard was accepted in 2008 and fosters consistency across Federal agencies and non-federal partners for the description of each vegetation concept and its hierarchical classification. The USNVC is structured as a dynamic standard, where changes to types at any level may be proposed at any time as new information comes in. But, because much information already exists from previous work, the NVC partners first established methods for screening existing types to determine their acceptability with respect to the 2008 standard. Current efforts include a screening process to assign confidence to Association and Group level descriptions, and a review of the upper three levels of the classification. For the upper levels especially, the expectation is that the review process includes international scientists. Immediate future efforts include the review of remaining levels and the development of a proposal review process.

  7. Risk Classification Model for Design and Build Projects

    Directory of Open Access Journals (Sweden)

    O. E. Ogunsanmi

    2011-07-01

    Full Text Available The purpose of this paper is to investigate if the various risk sources in Design and Build projects can be classified into three risk groups of cost, time and quality using the discriminant analysis technique. Literature search was undertaken to review issues of risk sources, classification of the identified risks into a risk structure, management of risks and effects of risks all on Design and Build projects as well as concepts of discriminant analysis as a statistical technique. This literature review was undertaken through the use of internet, published papers, journal articles and other published reports on risks in Design and Build projects. A research questionnaire was further designed to collect research information. This research study is a survey research that utilized cross-sectional design to capture the primary data. The data for the survey was collected in Nigeria. In all 40 questionnaires were sent to various respondents that included Architects, Engineers, Quantity Surveyors and Builders who had used Design and Build procurement method for their recently completed projects. Responses from these retrieved questionnaires that measured the impact of risks on Design and Build were analyzed using the discriminant analysis technique through the use of SPSS software package to build two discriminant models for classifying risks into cost, time and quality risk groups. Results of the study indicate that time overrun and poor quality are the two factors that discriminate between cost, time and quality related risk groups. These two discriminant functions explain the variation between the risk groups. All the discriminating variables of cost overrun, time overrun and poor quality demonstrate some relationships with the two discriminant functions. The two discriminant models built can classify risks in Design and Build projects into risk groups of cost, time and quality. These classifications models have 72% success rate of classification

  8. Classification of buildings mold threat using electronic nose

    Science.gov (United States)

    Łagód, Grzegorz; Suchorab, Zbigniew; Guz, Łukasz; Sobczuk, Henryk

    2017-07-01

    Mold is considered to be one of the most important features of Sick Building Syndrome and is an important problem in current building industry. In many cases it is caused by the rising moisture of building envelopes surface and exaggerated humidity of indoor air. Concerning historical buildings it is mostly caused by outdated raising techniques among that is absence of horizontal isolation against moisture and hygroscopic materials applied for construction. Recent buildings also suffer problem of mold risk which is caused in many cases by hermetization leading to improper performance of gravitational ventilation systems that make suitable conditions for mold development. Basing on our research there is proposed a method of buildings mold threat classification using electronic nose, based on a gas sensors array which consists of MOS sensors (metal oxide semiconductor). Used device is frequently applied for air quality assessment in environmental engineering branches. Presented results show the interpretation of e-nose readouts of indoor air sampled in rooms threatened with mold development in comparison with clean reference rooms and synthetic air. Obtained multivariate data were processed, visualized and classified using a PCA (Principal Component Analysis) and ANN (Artificial Neural Network) methods. Described investigation confirmed that electronic nose - gas sensors array supported with data processing enables to classify air samples taken from different rooms affected with mold.

  9. Classification of body movements based on posturographic data.

    Science.gov (United States)

    Saripalle, Sashi K; Paiva, Gavin C; Cliett, Thomas C; Derakhshani, Reza R; King, Gregory W; Lovelace, Christopher T

    2014-02-01

    The human body, standing on two feet, produces a continuous sway pattern. Intended movements, sensory cues, emotional states, and illnesses can all lead to subtle changes in sway appearing as alterations in ground reaction forces and the body's center of pressure (COP). The purpose of this study is to demonstrate that carefully selected COP parameters and classification methods can differentiate among specific body movements while standing, providing new prospects in camera-free motion identification. Force platform data were collected from participants performing 11 choreographed postural and gestural movements. Twenty-three different displacement- and frequency-based features were extracted from COP time series, and supplied to classification-guided feature extraction modules. For identification of movement type, several linear and nonlinear classifiers were explored; including linear discriminants, nearest neighbor classifiers, and support vector machines. The average classification rates on previously unseen test sets ranged from 67% to 100%. Within the context of this experiment, no single method was able to uniformly outperform the others for all movement types, and therefore a set of movement-specific features and classifiers is recommended.

  10. Building a robust vehicle detection and classification module

    Science.gov (United States)

    Grigoryev, Anton; Khanipov, Timur; Koptelov, Ivan; Bocharov, Dmitry; Postnikov, Vassily; Nikolaev, Dmitry

    2015-12-01

    The growing adoption of intelligent transportation systems (ITS) and autonomous driving requires robust real-time solutions for various event and object detection problems. Most of real-world systems still cannot rely on computer vision algorithms and employ a wide range of costly additional hardware like LIDARs. In this paper we explore engineering challenges encountered in building a highly robust visual vehicle detection and classification module that works under broad range of environmental and road conditions. The resulting technology is competitive to traditional non-visual means of traffic monitoring. The main focus of the paper is on software and hardware architecture, algorithm selection and domain-specific heuristics that help the computer vision system avoid implausible answers.

  11. PROCESSING OF CRAWLED URBAN IMAGERY FOR BUILDING USE CLASSIFICATION

    Directory of Open Access Journals (Sweden)

    P. Tutzauer

    2017-05-01

    Full Text Available Recent years have shown a shift from pure geometric 3D city models to data with semantics. This is induced by new applications (e.g. Virtual/Augmented Reality and also a requirement for concepts like Smart Cities. However, essential urban semantic data like building use categories is often not available. We present a first step in bridging this gap by proposing a pipeline to use crawled urban imagery and link it with ground truth cadastral data as an input for automatic building use classification. We aim to extract this city-relevant semantic information automatically from Street View (SV imagery. Convolutional Neural Networks (CNNs proved to be extremely successful for image interpretation, however, require a huge amount of training data. Main contribution of the paper is the automatic provision of such training datasets by linking semantic information as already available from databases provided from national mapping agencies or city administrations to the corresponding façade images extracted from SV. Finally, we present first investigations with a CNN and an alternative classifier as a proof of concept.

  12. Processing of Crawled Urban Imagery for Building Use Classification

    Science.gov (United States)

    Tutzauer, P.; Haala, N.

    2017-05-01

    Recent years have shown a shift from pure geometric 3D city models to data with semantics. This is induced by new applications (e.g. Virtual/Augmented Reality) and also a requirement for concepts like Smart Cities. However, essential urban semantic data like building use categories is often not available. We present a first step in bridging this gap by proposing a pipeline to use crawled urban imagery and link it with ground truth cadastral data as an input for automatic building use classification. We aim to extract this city-relevant semantic information automatically from Street View (SV) imagery. Convolutional Neural Networks (CNNs) proved to be extremely successful for image interpretation, however, require a huge amount of training data. Main contribution of the paper is the automatic provision of such training datasets by linking semantic information as already available from databases provided from national mapping agencies or city administrations to the corresponding façade images extracted from SV. Finally, we present first investigations with a CNN and an alternative classifier as a proof of concept.

  13. Gender classification of running subjects using full-body kinematics

    Science.gov (United States)

    Williams, Christina M.; Flora, Jeffrey B.; Iftekharuddin, Khan M.

    2016-05-01

    This paper proposes novel automated gender classification of subjects while engaged in running activity. The machine learning techniques include preprocessing steps using principal component analysis followed by classification with linear discriminant analysis, and nonlinear support vector machines, and decision-stump with AdaBoost. The dataset consists of 49 subjects (25 males, 24 females, 2 trials each) all equipped with approximately 80 retroreflective markers. The trials are reflective of the subject's entire body moving unrestrained through a capture volume at a self-selected running speed, thus producing highly realistic data. The classification accuracy using leave-one-out cross validation for the 49 subjects is improved from 66.33% using linear discriminant analysis to 86.74% using the nonlinear support vector machine. Results are further improved to 87.76% by means of implementing a nonlinear decision stump with AdaBoost classifier. The experimental findings suggest that the linear classification approaches are inadequate in classifying gender for a large dataset with subjects running in a moderately uninhibited environment.

  14. Classification of low energy houses in Danish Building Regulations

    DEFF Research Database (Denmark)

    Rose, Jørgen; Svendsen, Svend

    2005-01-01

    The new Danish Building Regulations (Building Regulations, 2005) introduces the total energy consumption, i.e. energy use for heating, ventilation, cooling and domestic hot water, for buildings as a measure for the energy efficiency of new buildings, i.e. moving away from the former U-value demands....... In addition to the minimum requirements for new buildings, the new Building Regulations also specify requirements for characterizing a building as either low energy building class 1 or low energy building class 2. This paper describes a type-house that is presently being built in Denmark. The type......-house easily meets the requirements for being categorized as a low energy building class 1, and the paper investigates how much U-values can be increased if the type-house were to fulfil the requirements for a low energy building class 2 or a building that just fulfils the minimum demands....

  15. MRI Could Be Changed Vertebral Body Fracture Classification

    Directory of Open Access Journals (Sweden)

    J. Jalal Shokouki

    2008-01-01

    Full Text Available Background/Objective: Evaluation of spinal column fracture or trauma with MRI in more than two years among 500 patients can change classifications of frac-tures that is important because of intervention ther-apy methods like vertebroplasty and kyfoplasty. As there are changes at Salter harrie fractures, classifica-tion, treatments` way, and management of vertebral body fracture will change. Also MRI can show inter-nal parts ruptures, vessel punctures, and show the size of hematomas."nPatients and Methods: Fifty patients at two imaging centers have been tested with MRI 1.5 tesla machines from GE and Siemens with superficial coil, and all of them had vertebral column trauma. We used T1 and T2 sagital and in some cases STIR or FAT SAT sagital. "nResults: Among our cases, 147 had fractures, and two cases had spinal punctures. The most common from of fractures were anterior wedging with compression of upper endplate. "nThe maximum fractures were five in a single trauma and mostly there were 2-3 fractures in a single trau-ma. Most of the fractures did not appear at X-ray, but they revealed at MRI specially with STIR pulse."nConclusion: 1 MRI especially STIR pulse is definite and sensitive to compression even in slight among which can be hidden from X-ray and CT. 2 Findings number and form of fractures with MRI, comparing with clinical signs will change classification of verte-bral fractures that leads to the better treatment re-sults. 3 CT is better for vertebral appendix fractures. 4 MRI is better for seeing complications of soft tis-sue. 5 MRI is better for siagnosins of old complica-tions and old fractures.

  16. Body Build Perceptions in Male and Female College Students.

    Science.gov (United States)

    Bailey, Roger C.; Hankins, Norman E.

    1979-01-01

    Results from scores on the Somatotype Rating Scale (SRS) indicated that, while there was close agreement between males and females on the measures, females exhibited more dissatisfaction with their body build and greater congruency between their self-concept and their same-sex stereotype than did males. (Author)

  17. Special on automation. Building simulation and article classification; Automatisering Special. Gebouwsimulatie en Artikelclassificatie

    Energy Technology Data Exchange (ETDEWEB)

    Hensen, J. [Knowledge Center Building and Systems, TNO en Technische Universiteit Eindhoven TUE, indhoven (Netherlands); Taal, A.C. [Haagse Hogeschool, The Hague (Netherlands); Wijsman, A.J.Th.M.; Plokker, W. [TNO Bouw, Delft (Netherlands); Riahy, S.; Van Paassen, A.H.C. [Technische Universiteit Delft, Faculteit der Werktuigbouwkunde en Maritieme Techniek, Koudetechniek en Klimaatregeling, Delft (Netherlands); Beilsma, R.; Sprengers, M. [Intechnium, Woerden (Netherlands); Groosman, M. [SFB IntraBouw, Amsterdam (Netherlands); Van Hezik, M.L.A.M. [Stichting STABU, Ede (Netherlands); Sloof, G.W.; Qualm, M.J. [Stabiplan, Bodegraven (Netherlands); Van Mill, R.; Zwinkels, A.H.L.M. [eds.

    2000-12-01

    In ten articles attention is paid to new developments with respect to the automation and simulation of buildings and related systems. Three articles focus on the classification and electronic exchange of information on articles.

  18. Classification of Mixtures of Odorants from Livestock Buildings by a Sensor Array (an Electronic Tongue)

    OpenAIRE

    2007-01-01

    An electronic tongue comprising different numbers of electrodes was able to classify test mixtures of key odorants characteristic of bioscrubbers of livestock buildings (n-butyrate, iso-valerate, phenolate, p-cresolate, skatole and ammonium). The classification of model solutions indicates that the electronic tongue has a promising potential as an on- line sensor for characterization of odorants in livestock buildings. Back propagation artificial neural network was used for classification. Th...

  19. Building and Solving Odd-One-Out Classification Problems: A Systematic Approach

    Science.gov (United States)

    Ruiz, Philippe E.

    2011-01-01

    Classification problems ("find the odd-one-out") are frequently used as tests of inductive reasoning to evaluate human or animal intelligence. This paper introduces a systematic method for building the set of all possible classification problems, followed by a simple algorithm for solving the problems of the R-ASCM, a psychometric test derived…

  20. Using Data Mining Techniques to Build a Classification Model for Predicting Employees Performance

    Directory of Open Access Journals (Sweden)

    Qasem A. Al-Radaideh

    2012-02-01

    Full Text Available Human capital is of a high concern for companies’ management where their most interest is in hiring the highly qualified personnel which are expected to perform highly as well. Recently, there has been a growing interest in the data mining area, where the objective is the discovery of knowledge that is correct and of high benefit for users. In this paper, data mining techniques were utilized to build a classification model to predict the performance of employees. To build the classification model the CRISP-DM data mining methodology was adopted. Decision tree was the main data mining tool used to build the classification model, where several classification rules were generated. To validate the generated model, several experiments were conducted using real data collected from several companies. The model is intended to be used for predicting new applicants’ performance.

  1. Study and Implementation of Web Mining Classification Algorithm Based on Building Tree of Detection Class Threshold

    Institute of Scientific and Technical Information of China (English)

    CHEN Jun-jie; SONG Han-tao; LU Yu-chang

    2005-01-01

    A new classification algorithm for web mining is proposed on the basis of general classification algorithm for data mining in order to implement personalized information services. The building tree method of detecting class threshold is used for construction of decision tree according to the concept of user expectation so as to find classification rules in different layers. Compared with the traditional C4. 5 algorithm, the disadvantage of excessive adaptation in C4. 5 has been improved so that classification results not only have much higher accuracy but also statistic meaning.

  2. Building America Top Innovations 2012: Vapor Retarder Classification

    Energy Technology Data Exchange (ETDEWEB)

    none,

    2013-01-01

    This Building America Top Innovations profile describes research in vapor retarders. Since 2006 the IRC has permitted Class III vapor retarders like latex paint (see list above) in all climate zones under certain conditions thanks to research by Building America teams.

  3. The building blocks of the full body ownership illusion

    Directory of Open Access Journals (Sweden)

    Antonella eMaselli

    2013-03-01

    Full Text Available Previous work has reported that it is not difficult to give people the illusion of ownership over an artificial body, providing a powerful tool for the investigation of the neural and cognitive mechanisms underlying body perception and self consciousness. We present an experimental study that uses immersive virtual reality focused on identifying the perceptual building blocks of this illusion. We systematically manipulated visuotactile and visual sensorimotor contingencies, visual perspective, and the appearance of the virtual body in order to assess their relative role and mutual interaction. Consistent results from subjective reports and physiological measures showed that a first person perspective over a fake humanoid body is essential for eliciting a body ownership illusion. We found that the level of realism of the virtual body, in particular the realism of skin tone, plays a critical role: when high enough, the illusion can be triggered by the sole effect of the spatial overlap between the real and virtual bodies, providing congruent visuoproprioceptive information, with no need for the additional contribution of congruent visuotactile and/or visual sensorimotor cues. Additionally, we found that the processing of incongruent perceptual cues can be modulated by the level of the illusion: when the illusion is strong, incongruent cues are not experienced as incorrect. Participants exposed to asynchronous visuotactile stimulation can experience the ownership illusion and perceive touch as originating from an object seen to contact the virtual body. Analogously, when the level of realism of the virtual body and/or the spatial overlap of the two bodies is not high enough, the contribution of congruent multisensory and/or sensorimotor cues is required for evoking the illusion. On the basis of these results and inspired by findings from neurophysiological recordings in the monkey, we propose a model that accounts for many of the results reported

  4. Body Percussion and Team Building through the BAPNE Method

    Directory of Open Access Journals (Sweden)

    Romero-Naranjo A.A.

    2016-01-01

    Full Text Available BAPNE Method is a method based on cognitive stimulation integrating music and movement through body percussion. The aim of this research is to explore its whole potential as a tool to build teams. Team building is a philosophy for work design, and since over two decades ago, it defends that obtaining a high performance and organizing efficiency is more useful to perceive employees as interdependent members in a team of work than individuals ones. From this viewpoint, this research advocates that BAPNE Method’s body percussion practice will have an impact on this vision of team work directly. For its own characteristics, body percussion stimulates ways of contact in movement, which ease social ties and, especially, promote group cohesion. Through social, body and, affective dimension; BAPNE Method is capable of developing a shared vision and a single aim, to stimulate team work identity and an atmosphere of trust; and finally, to improve individual communication and satisfaction levels in group tasks.

  5. RELATIONSHIP BETWEEN BODY BUILD AND ENDURANCE ON TREADMILL EXERCISES

    Directory of Open Access Journals (Sweden)

    Hemalathadevi

    2015-04-01

    Full Text Available INTRODUCTION: The type of the body build, efficacy of energy and oxygen supply mechanisms and utilization are the chief determinants of various forms of exertional endurance and achievement in various sporting activities. Therefore, the relationship between these varia bles of physique, fuel supply and aerobic capacity 6 and the endurance on treadmill stress test are chosen for study. MATERIALS & METHODS: Two groups (20 each of subjects (18 - 20 years were chosen based on body weight differences 9 60 kg BW for the study. They were further sub grouped based on BMI. DISCUSSION: When the body mass Index (BMI is at the range of 20 - 25, the endurance was better. However, when the BMI increased to very high value like 30, the endurance decreased. Such individual s with disproportionally high body weight could not endure a longer duration of exercise. This perhaps may be explained on the ground that such very high weight individuals (BMI > 30 may have more body fat than muscles. Excess body fat is dead weight that adds directly to the energy cost of running. In both groups of individuals with BMI of 20 or slightly above could run for longer periods than at extreme lower or higher ends of the BMI scale. OBSERVATIONS: The subjects with greater BMI could run for great er length of times, greater distances and achieved greater METs, glucose utilization and oxygen usage (aerobic capacity. The percentage of oxygen saturation (Pulse oxymetry after exercise fell to a greater degree in high body mass (BMI subjects indicati ng better cardio pulmonary function and greater degree of oxygen utilization. Finally, the resting heart rate and magnitude of heart rate rise during exercise are found to be somewhat lower in high body mass index subjects

  6. Classification of Mixtures of Odorants from Livestock Buildings by a Sensor Array (an Electronic Tongue)

    Science.gov (United States)

    Abu-Khalaf, Nawaf; Iversen, Jens Jørgen Lønsmann

    2007-01-01

    An electronic tongue comprising different numbers of electrodes was able to classify test mixtures of key odorants characteristic of bioscrubbers of livestock buildings (n-butyrate, iso-valerate, phenolate, p-cresolate, skatole and ammonium). The classification of model solutions indicates that the electronic tongue has a promising potential as an online sensor for characterization of odorants in livestock buildings. Back propagation artificial neural network was used for classification. The average classification rate was above 80% in all cases. A limited, but sufficient number of electrodes were selected by average classification rate and relative entropy. The sufficient number of electrodes decreased standard deviation and relative standard deviation compared to the full electrode array.

  7. Classification of Mixtures of Odorants from Livestock Buildings by a Sensor Array (an Electronic Tongue

    Directory of Open Access Journals (Sweden)

    Jens Jørgen Lønsmann Iversen

    2007-01-01

    Full Text Available An electronic tongue comprising different numbers of electrodes was able to classify test mixtures of key odorants characteristic of bioscrubbers of livestock buildings (n-butyrate, iso-valerate, phenolate, p-cresolate, skatole and ammonium. The classification of model solutions indicates that the electronic tongue has a promising potential as an on- line sensor for characterization of odorants in livestock buildings. Back propagation artificial neural network was used for classification. The average classification rate was above 80% in all cases. A limited, but sufficient number of electrodes were selected by average classification rate and relative entropy. The sufficient number of electrodes decreased standard deviation and relative standard deviation compared to the full electrode array.

  8. Relationship of body build and development of pulmonary tuberculosis

    Energy Technology Data Exchange (ETDEWEB)

    Nakamura, K.

    1974-01-01

    Height, weight, Body Build Index (relative body weight), sub-scapular skinfold thickness, serum cholesterol level, hemoglobin concentration, and serum uric acid level immediately preceding detection of tuberculosis were compared between index and control cases on 145 pairs, by sex and age group (49 or under and 50 or over). Average height of index cases was greater than that of the control cases. Control cases were heavier than index cases for both sexes and age groups. Comparison of Body Build Index exhibited more distinct differences between the two groups, which were more remarkable in the older age group. Significantly thicker skinfold was demonstrated only among the female control cases. Serum cholesterol and uric acid level were significantly higher among the male control cases. No difference in hemoglobin concentration was observed between the index and control cases. Results not only support previous studies which had shown higher morbidity of tuberculosis among underweight persons, but also suggest that nutritional factors might be important in lowering the susceptibility to development of tuberculosis. (DLC)

  9. Pattern classification approaches to matching building polygons at multiple scales

    NARCIS (Netherlands)

    Zhang, X; Zhao, X.; Molenaar, M.; Stoter, J.; Kraak M-J.; Ai, T.

    2012-01-01

    Matching of building polygons with different levels of detail is crucial in the maintenance and quality assessment of multi-representation databases. Two general problems need to be addressed in the matching process: (1) Which criteria are suitable? (2) How to effectively combine different criteria

  10. Pattern classification approaches to matching building polygons at multiple scales

    NARCIS (Netherlands)

    Zhang, X; Zhao, X.; Molenaar, M.; Stoter, J.; Kraak M-J.; Ai, T.

    2012-01-01

    Matching of building polygons with different levels of detail is crucial in the maintenance and quality assessment of multi-representation databases. Two general problems need to be addressed in the matching process: (1) Which criteria are suitable? (2) How to effectively combine different criteria

  11. Obesity classification in military personnel: A comparison of body fat, waist circumference, and body mass index measurements

    Science.gov (United States)

    The purpose of this study was to evaluate obesity classifications from body fat percentage (BF%), body mass index (BMI), and waist circumference (WC). A total of 451 overweight/obese active duty military personnel completed all three assessments. Most were obese (men, 81%; women, 98%) using National...

  12. Why Build Dewey Numbers? The Remediation of the Dewey Decimal Classification System

    Directory of Open Access Journals (Sweden)

    Tore Brattli

    2012-10-01

    Full Text Available Correct Dewey classification is demanding and time consuming. Many of the challenges with the Dewey system are related to locating and interpreting notes (i.e. classification guidelines, and number building. Today’s Dewey structure is a result of more than 100 years of optimizing a comprehensive classification system to the printed book medium. In order to limit the system into a “manageable” size, facets and facet-like subjects are represented only once and instead referred to from relevant classes for number building. A similar technique is used to reduce the number of notes. With the remediation of Dewey from printed to computer media, space is not limited and there is no need to compress the classification system. Number building can be eliminated, and all relevant notes attached to each class. Despite the fact that the system now has been available in electronic form for almost 20 years, it is still largely a copy of the printed version. This article first investigates how the Dewey system may be presented for users without number building, in order to make it more immediate and user-friendly. We first analyze the Dewey structure, and then look at different representations of the structure suited for computer media. Finally, some ideas for a new presentation without number building are proposed.

  13. Radon safety in terms of energy efficiency classification of buildings

    Science.gov (United States)

    Vasilyev, A.; Yarmoshenko, I.; Zhukovsky, M.

    2017-06-01

    According to the results of survey in Ekaterinburg, Russia, indoor radon concentrations above city average level have been found in each of the studied buildings with high energy efficiency class. Measures to increase energy efficiency were confirmed to decrease the air exchange rate and accumulation of high radon concentrations indoors. Despite of recommendations to use mechanical ventilation with heat recovery as the main scenario for reducing elevated radon concentrations in energy-efficient buildings, the use of such systems did not show an obvious advantage. In real situation, mechanical ventilation system is not used properly both in the automatic and manual mode, which does not give an obvious advantage over natural ventilation in the climate of the Middle Urals in Ekaterinburg. Significant number of buildings with a high class of energy efficiency and built using modern space-planning decisions contributes to an increase in the average radon concentration. Such situation contradicts to “as low as reasonable achievable” principle of the radiation protection.

  14. Automatic Building Detection based on Supervised Classification using High Resolution Google Earth Images

    OpenAIRE

    Ghaffarian, S.

    2014-01-01

    This paper presents a novel approach to detect the buildings by automization of the training area collecting stage for supervised classification. The method based on the fact that a 3d building structure should cast a shadow under suitable imaging conditions. Therefore, the methodology begins with the detection and masking out the shadow areas using luminance component of the LAB color space, which indicates the lightness of the image, and a novel double thresholding technique. Furth...

  15. Buildings classification from airborne LiDAR point clouds through OBIA and ontology driven approach

    Science.gov (United States)

    Tomljenovic, Ivan; Belgiu, Mariana; Lampoltshammer, Thomas J.

    2013-04-01

    In the last years, airborne Light Detection and Ranging (LiDAR) data proved to be a valuable information resource for a vast number of applications ranging from land cover mapping to individual surface feature extraction from complex urban environments. To extract information from LiDAR data, users apply prior knowledge. Unfortunately, there is no consistent initiative for structuring this knowledge into data models that can be shared and reused across different applications and domains. The absence of such models poses great challenges to data interpretation, data fusion and integration as well as information transferability. The intention of this work is to describe the design, development and deployment of an ontology-based system to classify buildings from airborne LiDAR data. The novelty of this approach consists of the development of a domain ontology that specifies explicitly the knowledge used to extract features from airborne LiDAR data. The overall goal of this approach is to investigate the possibility for classification of features of interest from LiDAR data by means of domain ontology. The proposed workflow is applied to the building extraction process for the region of "Biberach an der Riss" in South Germany. Strip-adjusted and georeferenced airborne LiDAR data is processed based on geometrical and radiometric signatures stored within the point cloud. Region-growing segmentation algorithms are applied and segmented regions are exported to the GeoJSON format. Subsequently, the data is imported into the ontology-based reasoning process used to automatically classify exported features of interest. Based on the ontology it becomes possible to define domain concepts, associated properties and relations. As a consequence, the resulting specific body of knowledge restricts possible interpretation variants. Moreover, ontologies are machinable and thus it is possible to run reasoning on top of them. Available reasoners (FACT++, JESS, Pellet) are used to check

  16. Climate classification for the simulation of thermally activated building systems (TABS)

    DEFF Research Database (Denmark)

    Behrendt, Benjamin; Christensen, Jørgen Erik

    2013-01-01

    Thermally activated building systems (TABS) provide high temperature cooling and low temperature heating which has a better efficiency compared to traditional heating and cooling solutions. Additionally the moderate required temperature levels for heating and cooling create the opportunity to use...... entirely. The proposed climate classification should fill this gap by providing the missing data in a simple manner....

  17. Unsupervised Classification During Time-Series Model Building.

    Science.gov (United States)

    Gates, Kathleen M; Lane, Stephanie T; Varangis, E; Giovanello, K; Guiskewicz, K

    2017-01-01

    Researchers who collect multivariate time-series data across individuals must decide whether to model the dynamic processes at the individual level or at the group level. A recent innovation, group iterative multiple model estimation (GIMME), offers one solution to this dichotomy by identifying group-level time-series models in a data-driven manner while also reliably recovering individual-level patterns of dynamic effects. GIMME is unique in that it does not assume homogeneity in processes across individuals in terms of the patterns or weights of temporal effects. However, it can be difficult to make inferences from the nuances in varied individual-level patterns. The present article introduces an algorithm that arrives at subgroups of individuals that have similar dynamic models. Importantly, the researcher does not need to decide the number of subgroups. The final models contain reliable group-, subgroup-, and individual-level patterns that enable generalizable inferences, subgroups of individuals with shared model features, and individual-level patterns and estimates. We show that integrating community detection into the GIMME algorithm improves upon current standards in two important ways: (1) providing reliable classification and (2) increasing the reliability in the recovery of individual-level effects. We demonstrate this method on functional MRI from a sample of former American football players.

  18. Preliminary Results of Earthquake-Induced Building Damage Detection with Object-Based Image Classification

    Science.gov (United States)

    Sabuncu, A.; Uca Avci, Z. D.; Sunar, F.

    2016-06-01

    Earthquakes are the most destructive natural disasters, which result in massive loss of life, infrastructure damages and financial losses. Earthquake-induced building damage detection is a very important step after earthquakes since earthquake-induced building damage is one of the most critical threats to cities and countries in terms of the area of damage, rate of collapsed buildings, the damage grade near the epicenters and also building damage types for all constructions. Van-Ercis (Turkey) earthquake (Mw= 7.1) was occurred on October 23th, 2011; at 10:41 UTC (13:41 local time) centered at 38.75 N 43.36 E that places the epicenter about 30 kilometers northern part of the city of Van. It is recorded that, 604 people died and approximately 4000 buildings collapsed or seriously damaged by the earthquake. In this study, high-resolution satellite images of Van-Ercis, acquired by Quickbird-2 (Digital Globe Inc.) after the earthquake, were used to detect the debris areas using an object-based image classification. Two different land surfaces, having homogeneous and heterogeneous land covers, were selected as case study areas. As a first step of the object-based image processing, segmentation was applied with a convenient scale parameter and homogeneity criterion parameters. As a next step, condition based classification was used. In the final step of this preliminary study, outputs were compared with streetview/ortophotos for the verification and evaluation of the classification accuracy.

  19. Creating a three level building classification using topographic and address-based data for Manchester

    Science.gov (United States)

    Hussain, M.; Chen, D.

    2014-11-01

    Buildings, the basic unit of an urban landscape, host most of its socio-economic activities and play an important role in the creation of urban land-use patterns. The spatial arrangement of different building types creates varied urban land-use clusters which can provide an insight to understand the relationships between social, economic, and living spaces. The classification of such urban clusters can help in policy-making and resource management. In many countries including the UK no national-level cadastral database containing information on individual building types exists in public domain. In this paper, we present a framework for inferring functional types of buildings based on the analysis of their form (e.g. geometrical properties, such as area and perimeter, layout) and spatial relationship from large topographic and address-based GIS database. Machine learning algorithms along with exploratory spatial analysis techniques are used to create the classification rules. The classification is extended to two further levels based on the functions (use) of buildings derived from address-based data. The developed methodology was applied to the Manchester metropolitan area using the Ordnance Survey's MasterMap®, a large-scale topographic and address-based data available for the UK.

  20. Active Build-Model Random Forest Method for Network Traffic Classification

    Directory of Open Access Journals (Sweden)

    Alhamza Munther

    2014-05-01

    Full Text Available Network traffic classification continues to be an interesting subject among numerous networking communities. This method introduces multi-beneficial solutions in different avenues, such as network security, network management, anomaly detection, and quality-of-service. In this paper, we propose a supervised machine learning method that efficiently classifies different types of applications using the Active Build-Model Random Forest (ABRF method. This method constructs a new build model for the original Random Forest (RF method to decrease processing time. This build model includes only the active trees (i.e., trees with high accuracy, whereas the passive trees are excluded from the forest. The passive trees were excluded without any negative effect on classification accuracy. Results show that the ABRF method decreases the processing time by up to 37.5% compared with the original RF method. Our model has an overall accuracy of 98.66% based on the benchmark dataset considered in this paper.

  1. Automatic Building Detection based on Supervised Classification using High Resolution Google Earth Images

    Science.gov (United States)

    Ghaffarian, S.; Ghaffarian, S.

    2014-08-01

    This paper presents a novel approach to detect the buildings by automization of the training area collecting stage for supervised classification. The method based on the fact that a 3d building structure should cast a shadow under suitable imaging conditions. Therefore, the methodology begins with the detection and masking out the shadow areas using luminance component of the LAB color space, which indicates the lightness of the image, and a novel double thresholding technique. Further, the training areas for supervised classification are selected by automatically determining a buffer zone on each building whose shadow is detected by using the shadow shape and the sun illumination direction. Thereafter, by calculating the statistic values of each buffer zone which is collected from the building areas the Improved Parallelepiped Supervised Classification is executed to detect the buildings. Standard deviation thresholding applied to the Parallelepiped classification method to improve its accuracy. Finally, simple morphological operations conducted for releasing the noises and increasing the accuracy of the results. The experiments were performed on set of high resolution Google Earth images. The performance of the proposed approach was assessed by comparing the results of the proposed approach with the reference data by using well-known quality measurements (Precision, Recall and F1-score) to evaluate the pixel-based and object-based performances of the proposed approach. Evaluation of the results illustrates that buildings detected from dense and suburban districts with divers characteristics and color combinations using our proposed method have 88.4 % and 853 % overall pixel-based and object-based precision performances, respectively.

  2. Computer Aided Ballistic Orbit Classification Around Small Bodies

    Science.gov (United States)

    Villac, Benjamin F.; Anderson, Rodney L.; Pini, Alex J.

    2016-09-01

    Orbital dynamics around small bodies are as varied as the shapes and dynamical states of these bodies. While various classes of orbits have been analyzed in detail, the global overview of relevant ballistic orbits at particular bodies is not easily computed or organized. Yet, correctly categorizing these orbits will ease their future use in the overall trajectory design process. This paper overviews methods that have been used to organize orbits, focusing on periodic orbits in particular, and introduces new methods based on clustering approaches.

  3. Building "Bob": A Project Exploring the Human Body at Western Illinois University Preschool Center

    Science.gov (United States)

    Brouette, Scott

    2008-01-01

    When the children at Western Illinois University Preschool Center embarked on a study of human bodies, they decided to build a life-size model of a body, organ by organ from the inside out, to represent some of the things they were learning. This article describes the building of "Bob," the human body model, highlighting the children's…

  4. Automated Classification of Heritage Buildings for As-Built Bim Using Machine Learning Techniques

    Science.gov (United States)

    Bassier, M.; Vergauwen, M.; Van Genechten, B.

    2017-08-01

    Semantically rich three dimensional models such as Building Information Models (BIMs) are increasingly used in digital heritage. They provide the required information to varying stakeholders during the different stages of the historic buildings life cyle which is crucial in the conservation process. The creation of as-built BIM models is based on point cloud data. However, manually interpreting this data is labour intensive and often leads to misinterpretations. By automatically classifying the point cloud, the information can be proccesed more effeciently. A key aspect in this automated scan-to-BIM process is the classification of building objects. In this research we look to automatically recognise elements in existing buildings to create compact semantic information models. Our algorithm efficiently extracts the main structural components such as floors, ceilings, roofs, walls and beams despite the presence of significant clutter and occlusions. More specifically, Support Vector Machines (SVM) are proposed for the classification. The algorithm is evaluated using real data of a variety of existing buildings. The results prove that the used classifier recognizes the objects with both high precision and recall. As a result, entire data sets are reliably labelled at once. The approach enables experts to better document and process heritage assets.

  5. A survey on classification of maintenance fund for high rise residential building in Klang Valley

    Science.gov (United States)

    Wahab, Siti Rashidah Hanum Abd; Ani, Adi Irfan Che; Sairi, Ahmad; Tawil, Norngainy Mohd; Razak, Muhd Zulhanif Abd

    2016-08-01

    High-rise residential building is a type of housing that has multi-dwelling units built on the same land. This type of housing has become popular each year in urban area due to the increasing cost of land. Unfortunately, there are several issues occurred in managing high rise residential building especially in maintenance fund. Thus, distribution of maintenance fund need to be clarified in order to make it well organised. The purpose of this paper is to identify the classification of maintenance fund distribution at high rise residential building. The survey was done on 170 high-rise residential schemes by using stratified random sampling technique. The scope of this research is within Klang Valley area. This area is rapidly developed with high-rise residential building. The result, there are five classification of maintenance fund identified in managing high-rise residential building scheme namely, management fund for administration and utilities, maintenance fund for exclusive facilities, maintenance fund for basic facilities, maintenance fund for support facilities and management sinking fund.

  6. A study of earthquake-induced building detection by object oriented classification approach

    Science.gov (United States)

    Sabuncu, Asli; Damla Uca Avci, Zehra; Sunar, Filiz

    2017-04-01

    Among the natural hazards, earthquakes are the most destructive disasters and cause huge loss of lives, heavily infrastructure damages and great financial losses every year all around the world. According to the statistics about the earthquakes, more than a million earthquakes occur which is equal to two earthquakes per minute in the world. Natural disasters have brought more than 780.000 deaths approximately % 60 of all mortality is due to the earthquakes after 2001. A great earthquake took place at 38.75 N 43.36 E in the eastern part of Turkey in Van Province on On October 23th, 2011. 604 people died and about 4000 buildings seriously damaged and collapsed after this earthquake. In recent years, the use of object oriented classification approach based on different object features, such as spectral, textural, shape and spatial information, has gained importance and became widespread for the classification of high-resolution satellite images and orthophotos. The motivation of this study is to detect the collapsed buildings and debris areas after the earthquake by using very high-resolution satellite images and orthophotos with the object oriented classification and also see how well remote sensing technology was carried out in determining the collapsed buildings. In this study, two different land surfaces were selected as homogenous and heterogeneous case study areas. In the first step of application, multi-resolution segmentation was applied and optimum parameters were selected to obtain the objects in each area after testing different color/shape and compactness/smoothness values. In the next step, two different classification approaches, namely "supervised" and "unsupervised" approaches were applied and their classification performances were compared. Object-based Image Analysis (OBIA) was performed using e-Cognition software.

  7. Classification of slaughtered animals and estimation of body ...

    African Journals Online (AJOL)

    ADEYEYE

    2014-05-28

    May 28, 2014 ... The animals slaughtered at the Sokoto City Abattoir in Northwestern Nigeria from 5 ... ruminant slaughtered were in borderline to optimum (3-4) body condition while the majority of small ruminant ... data recording system for slaughter statistics and research ..... Report Submitted to ADENI Project/NAERLS,.

  8. MERGING AIRBORNE LIDAR DATA AND SATELLITE SAR DATA FOR BUILDING CLASSIFICATION

    Directory of Open Access Journals (Sweden)

    T. Yamamoto

    2015-05-01

    Full Text Available A frequent map revision is required in GIS applications, such as disaster prevention and urban planning. In general, airborne photogrammetry and LIDAR measurements are applied to geometrical data acquisition for automated map generation and revision. However, attribute data acquisition and classification depend on manual editing works including ground surveys. In general, airborne photogrammetry and LiDAR measurements are applied to geometrical data acquisition for automated map generation and revision. However, these approaches classify geometrical attributes. Moreover, ground survey and manual editing works are finally required in attribute data classification. On the other hand, although geometrical data extraction is difficult, SAR data have a possibility to automate the attribute data acquisition and classification. The SAR data represent microwave reflections on various surfaces of ground and buildings. There are many researches related to monitoring activities of disaster, vegetation, and urban. Moreover, we have an opportunity to acquire higher resolution data in urban areas with new sensors, such as ALOS2 PALSAR2. Therefore, in this study, we focus on an integration of airborne LIDAR data and satellite SAR data for building extraction and classification.

  9. Body build classes as a method for systematization of age-related anthropometric changes in girls aged 7-8 and 17-18 years.

    Science.gov (United States)

    Kasmel, Jaan; Kaarma, Helje; Koskel, Säde; Tiit, Ene-Margit

    2004-03-01

    A total of 462 schoolgirls aged 7-8 and 17-18 years were examined anthropometrically (45 body measurements and 10 skinfolds) in a cross-sectional study. The data were processed in two age groups: 7-8-year-olds (n = 205) and 17-18-year-olds (n = 257). Relying on average height and weight in the groups, both groups were divided into five body build classes: small, medium, large, pyknomorphous and leptomorphous. In these classes, the differences in all other body measurements were compared, and in both age groups, analogous systematic differences were found in length, width and depth measurements and circumferences. This enabled us to compare proportional changes in body measurements during ten years, using for this ratios of averages of basic measurements and measurement groups in the same body build classes. Statistical analysis by the sign test revealed statistically significant differences between various body build classes in the growth of averages. Girls belonging to the small class differed from the girls of the large class by an essentially greater increase in their measurements. Our results suggest that the growth rate of body measurements of girls with different body build can be studied by the help of body build classification.

  10. Building Merger Trees from Cosmological N-body Simulations

    CERN Document Server

    Tweed, D; Blaizot, J; Colombi, S; Slyz, A

    2009-01-01

    Although a fair amount of work has been devoted to growing Monte-Carlo merger trees which resemble those built from an N-body simulation, comparatively little effort has been invested in quantifying the caveats one necessarily encounters when one extracts trees directly from such a simulation. To somewhat revert the tide, this paper seeks to provide its reader with a comprehensive study of the problems one faces when following this route. The first step to building merger histories of dark matter haloes and their subhaloes is to identify these structures in each of the time outputs (snapshots) produced by the simulation. Even though we discuss a particular implementation of such an algorithm (called AdaptaHOP) in this paper, we believe that our results do not depend on the exact details of the implementation but extend to most if not all (sub)structure finders. To illustrate this point, we compare AdaptaHOP s results to the standard Friend- Of-Friend algorithm (FOF), widely utilized in the astrophysical commu...

  11. Classification of physical activities based on body-segments coordination.

    Science.gov (United States)

    Fradet, Laetitia; Marin, Frederic

    2016-09-01

    Numerous innovations based on connected objects and physical activity (PA) monitoring have been proposed. However, recognition of PAs requires robust algorithm and methodology. The current study presents an innovative approach for PA recognition. It is based on the heuristic definition of postures and the use of body-segments coordination obtained through external sensors. The first part of this study presents the methodology required to define the set of accelerations which is the most appropriate to represent the particular body-segments coordination involved in the chosen PAs (here walking, running, and cycling). For that purpose, subjects of different ages and heterogeneous physical conditions walked, ran, cycled, and performed daily activities at different paces. From the 3D motion capture, vertical and horizontal accelerations of 8 anatomical landmarks representative of the body were computed. Then, the 680 combinations from up to 3 accelerations were compared to identify the most appropriate set of acceleration to discriminate the PAs in terms of body segment coordinations. The discrimination was based on the maximal Hausdorff Distance obtained between the different set of accelerations. The vertical accelerations of both knees demonstrated the best PAs discrimination. The second step was the proof of concept, implementing the proposed algorithm to classify PAs of new group of subjects. The originality of the proposed algorithm is the possibility to use the subject's specific measures as reference data. With the proposed algorithm, 94% of the trials were correctly classified. In conclusion, our study proposed a flexible and extendable methodology. At the current stage, the algorithm has been shown to be valid for heterogeneous subjects, which suggests that it could be deployed in clinical or health-related applications regardless of the subjects' physical abilities or characteristics. Copyright © 2016 Elsevier Ltd. All rights reserved.

  12. Orbital classification in an N-body bar

    CERN Document Server

    Wang, Yougang; Mao, Shude

    2016-01-01

    The dynamics and evolution of any galactic structure are strongly influenced by the properties of the orbits that constitute it. In this paper, we compare two orbit classification schemes, one by Laskar (NAFF) , and the other by Carpintero and Aguilar (CA), by applying both of them to orbits obtained by following individual particles in a numerical simulation of a barred galaxy. We find that, at least for our case and some provisos, the main frequencies calculated by the two methods are in good agreement: for $80\\%$ of the orbits the difference between the results of the two methods is less than $5\\%$ for all three main frequencies. However, it is difficult to evaluate the amount of regular or chaotic bar orbits in a given system. The fraction of regular orbits obtained by the NAFF method strongly depends on the critical frequency drift parameter, while in the CA method the number of fundamental frequencies strongly depends on the frequency difference parameter $L_{\\rm r}$ and the maximum integer used for sea...

  13. Orbital classification in an N-body bar

    Science.gov (United States)

    Wang, Yougang; Athanassoula, E.; Mao, Shude

    2016-12-01

    The dynamics and evolution of any galactic structure are strongly influenced by the properties of the orbits that constitute it. In this paper, we compare two orbit classification schemes, one by Laskar [numerical analysis of fundamental frequencies (NAFF)], and the other by Carpintero and Aguilar (CA), by applying both of them to orbits obtained by following individual particles in a numerical simulation of a barred galaxy. We find that, at least for our case and some provisos, the main frequencies calculated by the two methods are in good agreement: for 80 per cent of the orbits the difference between the results of the two methods is less than 5 per cent for all three main frequencies. However, it is difficult to evaluate the amount of regular or chaotic bar orbits in a given system. The fraction of regular orbits obtained by the NAFF method strongly depends on the critical frequency drift parameter, while in the CA method the number of fundamental frequencies strongly depends on the frequency difference parameter Lr and the maximum integer used for searching the linear independence of the fundamental frequencies. We also find that, for a given particle, in general the projection of its motion along the bar minor axis is more regular than the other two projections, while the projection along the intermediate axis is the least regular.

  14. Multi-Stage Feature Selection Based Intelligent Classifier for Classification of Incipient Stage Fire in Building

    Directory of Open Access Journals (Sweden)

    Allan Melvin Andrew

    2016-01-01

    Full Text Available In this study, an early fire detection algorithm has been proposed based on low cost array sensing system, utilising off- the shelf gas sensors, dust particles and ambient sensors such as temperature and humidity sensor. The odour or “smellprint” emanated from various fire sources and building construction materials at early stage are measured. For this purpose, odour profile data from five common fire sources and three common building construction materials were used to develop the classification model. Normalised feature extractions of the smell print data were performed before subjected to prediction classifier. These features represent the odour signals in the time domain. The obtained features undergo the proposed multi-stage feature selection technique and lastly, further reduced by Principal Component Analysis (PCA, a dimension reduction technique. The hybrid PCA-PNN based approach has been applied on different datasets from in-house developed system and the portable electronic nose unit. Experimental classification results show that the dimension reduction process performed by PCA has improved the classification accuracy and provided high reliability, regardless of ambient temperature and humidity variation, baseline sensor drift, the different gas concentration level and exposure towards different heating temperature range.

  15. Structural Health Monitoring of Tall Buildings with Numerical Integrator and Convex-Concave Hull Classification

    Directory of Open Access Journals (Sweden)

    Suresh Thenozhi

    2012-01-01

    Full Text Available An important objective of health monitoring systems for tall buildings is to diagnose the state of the building and to evaluate its possible damage. In this paper, we use our prototype to evaluate our data-mining approach for the fault monitoring. The offset cancellation and high-pass filtering techniques are combined effectively to solve common problems in numerical integration of acceleration signals in real-time applications. The integration accuracy is improved compared with other numerical integrators. Then we introduce a novel method for support vector machine (SVM classification, called convex-concave hull. We use the Jarvis march method to decide the concave (nonconvex hull for the inseparable points. Finally the vertices of the convex-concave hull are applied for SVM training.

  16. An automated classification approach to ranking photospheric proxies of magnetic energy build-up

    CERN Document Server

    Al-Ghraibah, Amani; McAteer, R T James

    2015-01-01

    We study the photospheric magnetic field of ~2000 active regions in solar cycle 23 to search for parameters indicative of energy build-up and subsequent release as a solar flare. We extract three sets of parameters: snapshots in space and time- total flux, magnetic gradients, and neutral lines; evolution in time- flux evolution; structures at multiple size scales- wavelet analysis. This combines pattern recognition and classification techniques via a relevance vector machine to determine whether a region will flare. We consider classification performance using all 38 extracted features and several feature subsets. Classification performance is quantified using both the true positive rate and the true negative rate. Additionally, we compute the true skill score which provides an equal weighting to true positive rate and true negative rate and the Heidke skill score to allow comparison to other flare forecasting work. We obtain a true skill score of ~0.5 for any predictive time window in the range 2-24hr, with ...

  17. New bottles for old wine: fruit body types, phylogeny, and classification.

    Science.gov (United States)

    Hawksworth, David L; Lagreca, Scott

    2007-09-01

    Molecular phylogenetic studies have made it evident that similar fruit body types, formerly the cornerstone of the classification of ascomycete and basidiomycete fungi, including those that form lichens, are often a result of convergent evolution. This commentary provides an introduction to this special issue of Mycological Research, which is based on papers presented at a one-day joint meeting of the British Mycological Society and the Natural History Museum held in London on 3 December 2005. The nine papers included address this issue in relation to its impact on classification, and also draw attention to the over-emphasis in fungal classification of ascus types and, in the case of lichen fungi, thallus form.

  18. Artificial Neural Network based Body Posture Classification from EMG signal analysis

    Directory of Open Access Journals (Sweden)

    Rajesh Kumar Tripathy

    2013-04-01

    Full Text Available  This paper deals with the body posture Classification from EMG signal analysis using artificial neural network (ANN. The various statistical features extracted from each EMG signal corresponding to different muscles associated with the different body postures are framed using LABVIEW software. Further-more, these features are taken as the input towards the ANN classifier and thus the corresponding output for the respective classifier predicts the postures like Bowing, Handshaking, and Hugging. The performance of the classifier is determined by the classification rate (CR. The outcome of result indicates that the CR of Multilayer Feed Forward Neural Network (MFNN type of ANN is rounded up to a percentage of 71.02%.

  19. BODY IMAGE AMONG MEN WHO PRACTICE BODY BUILDING: COMPARISON BY AGE, ECONOMIC STATUS, AND CITY SIZE.

    Science.gov (United States)

    Silva, Diego A S; Da Silva, Rafael C; Gonçalves, Eliane C A

    2015-10-01

    Identifying the factors that influence the body image of body builders is important for understanding this construct. The aim of this study was to analyze the association between body image and age, socioeconomic status, and place of residence of body builders from two cities in Brazil. A cross-sectional study of 301 body builders with an average age of 25.2 yr. (SD = 3.5) was carried out. The Muscle Silhouette Measure scale was used, in which the discrepancy between current and desired silhouette was examined. Older body builders showed greater discrepancy between current and desired silhouette, reflecting their desire for a more muscular body.

  20. [Building Change Detection Based on Multi-Level Rules Classification with Airborne LiDAR Data and Aerial Images].

    Science.gov (United States)

    Gong, Yi-long; Yan, Li

    2015-05-01

    The present paper proposes a new building change detection method combining Lidar point cloud with aerial image, using multi-level rules classification algorithm, to solve building change detection problem between these two kinds of heterogeneous data. Then, a morphological post-processing method combined with area threshold is proposed. Thus, a complete building change detection processing flow that can be applied to actual production is proposed. Finally, the effectiveness of the building change detection method is evaluated, processing the 2010 airborne LiDAR point cloud data and 2009 high resolution aerial image of Changchun City, Jilin province, China; in addition, compared with the object-oriented building change detection method based on support vector machine (SVM) classification, more analysis and evaluation of the suggested method is given. Experiment results show that the performance of the proposed building change detection method is ideal. Its Kappa index is 0. 90, and correctness is 0. 87, which is higher than the object-oriented building change detection method based on SVM classification.

  1. Finding rare objects and building pure samples: Probabilistic quasar classification from low resolution Gaia spectra

    CERN Document Server

    Bailer-Jones, C A L; Tiede, C; Sordo, R; Vallenari, A

    2008-01-01

    We develop and demonstrate a probabilistic method for classifying rare objects in surveys with the particular goal of building very pure samples. It works by modifying the output probabilities from a classifier so as to accommodate our expectation (priors) concerning the relative frequencies of different classes of objects. We demonstrate our method using the Discrete Source Classifier, a supervised classifier currently based on Support Vector Machines, which we are developing in preparation for the Gaia data analysis. DSC classifies objects using their very low resolution optical spectra. We look in detail at the problem of quasar classification, because identification of a pure quasar sample is necessary to define the Gaia astrometric reference frame. By varying a posterior probability threshold in DSC we can trade off sample completeness and contamination. We show, using our simulated data, that it is possible to achieve a pure sample of quasars (upper limit on contamination of 1 in 40,000) with a complete...

  2. Low-power wireless ECG acquisition and classification system for body sensor networks.

    Science.gov (United States)

    Lee, Shuenn-Yuh; Hong, Jia-Hua; Hsieh, Cheng-Han; Liang, Ming-Chun; Chang Chien, Shih-Yu; Lin, Kuang-Hao

    2015-01-01

    A low-power biosignal acquisition and classification system for body sensor networks is proposed. The proposed system consists of three main parts: 1) a high-pass sigma delta modulator-based biosignal processor (BSP) for signal acquisition and digitization, 2) a low-power, super-regenerative on-off keying transceiver for short-range wireless transmission, and 3) a digital signal processor (DSP) for electrocardiogram (ECG) classification. The BSP and transmitter circuits, which are the body-end circuits, can be operated for over 80 days using two 605 mAH zinc-air batteries as the power supply; the power consumption is 586.5 μW. As for the radio frequency receiver and DSP, which are the receiving-end circuits that can be integrated in smartphones or personal computers, power consumption is less than 1 mW. With a wavelet transform-based digital signal processing circuit and a diagnosis control by cardiologists, the accuracy of beat detection and ECG classification are close to 99.44% and 97.25%, respectively. All chips are fabricated in TSMC 0.18-μm standard CMOS process.

  3. Building a Remote Usability Testing Body of Knowledge (RUTBOK)

    DEFF Research Database (Denmark)

    Lizano, Fulvio; Stage, Jan

    2012-01-01

    Remote Usability Testing (RUT) is an alternative method of usability evaluations. The main aim of RUT is the reduction of costs in the usability evaluation process. Since middle of the 90s RUT, has emerged as a technique which seems as is gaining maturity across the time. In general any disciplin...... or professional field matures along the time using in this process among other, a Body of Knowledge (BOK) to represent all the elements or knowledge connected with it. It is possible to find different perspectives about the structure....

  4. Classification

    Science.gov (United States)

    Clary, Renee; Wandersee, James

    2013-01-01

    In this article, Renee Clary and James Wandersee describe the beginnings of "Classification," which lies at the very heart of science and depends upon pattern recognition. Clary and Wandersee approach patterns by first telling the story of the "Linnaean classification system," introduced by Carl Linnacus (1707-1778), who is…

  5. 健身意识及其生成%Body-building Consciousness and its Formation

    Institute of Scientific and Technical Information of China (English)

    乔玉成

    2012-01-01

    Body-building consciousness is the basis relationship between body-building consciousness and mational mechanisms of body-building consciousness. tional training, environmental influence and practical awakening and development. and premise of body-building behavior. Understanding the behavior requires knowledge of concepts, elements and for- formation of body-building consciousness requires educa- experience, and public health events are significant to its%健身意识是健身行为产生的基础和前提。理解健身意识与行为之间的关系离不开对健身意识的概念、生成条件、机制和规律的认识。健身意识生成的机制主要体现在教育培育、环境润育和实践体验等方面,而公共卫生事件的发生对其觉醒与发展意义非凡。

  6. Research on the classification result and accuracy of building windows in high resolution satellite images: take the typical rural buildings in Guangxi, China, as an example

    Science.gov (United States)

    Li, Baishou; Gao, Yujiu

    2015-12-01

    The information extracted from the high spatial resolution remote sensing images has become one of the important data sources of the GIS large scale spatial database updating. The realization of the building information monitoring using the high resolution remote sensing, building small scale information extracting and its quality analyzing has become an important precondition for the applying of the high-resolution satellite image information, because of the large amount of regional high spatial resolution satellite image data. In this paper, a clustering segmentation classification evaluation method for the high resolution satellite images of the typical rural buildings is proposed based on the traditional KMeans clustering algorithm. The factors of separability and building density were used for describing image classification characteristics of clustering window. The sensitivity of the factors influenced the clustering result was studied from the perspective of the separability between high image itself target and background spectrum. This study showed that the number of the sample contents is the important influencing factor to the clustering accuracy and performance, the pixel ratio of the objects in images and the separation factor can be used to determine the specific impact of cluster-window subsets on the clustering accuracy, and the count of window target pixels (Nw) does not alone affect clustering accuracy. The result can provide effective research reference for the quality assessment of the segmentation and classification of high spatial resolution remote sensing images.

  7. Classification

    DEFF Research Database (Denmark)

    Hjørland, Birger

    2017-01-01

    This article presents and discusses definitions of the term “classification” and the related concepts “Concept/conceptualization,”“categorization,” “ordering,” “taxonomy” and “typology.” It further presents and discusses theories of classification including the influences of Aristotle...... and Wittgenstein. It presents different views on forming classes, including logical division, numerical taxonomy, historical classification, hermeneutical and pragmatic/critical views. Finally, issues related to artificial versus natural classification and taxonomic monism versus taxonomic pluralism are briefly...

  8. Sleep stage classification by body movement index and respiratory interval indices using multiple radar sensors.

    Science.gov (United States)

    Kagawa, Masayuki; Sasaki, Noriyuki; Suzumura, Kazuki; Matsui, Takemi

    2015-01-01

    Disturbed sleep has become more common in recent years. To increase the quality of sleep, undergoing sleep observation has gained interest as an attempt to resolve possible problems. In this paper, we evaluate a non-restrictive and non-contact method for classifying real-time sleep stages and report on its potential applications. The proposed system measures body movements and respiratory signals of a sleeping person using a multiple 24-GHz microwave radar placed beneath the mattress. We determined a body-movement index to identify wake and sleep periods, and fluctuation indices of respiratory intervals to identify sleep stages. For identifying wake and sleep periods, the rate agreement between the body-movement index and the reference result using the R&K method was 83.5 ± 6.3%. One-minute standard deviations, one of the fluctuation indices of respiratory intervals, had a high degree of contribution and showed a significant difference across the three sleep stages (REM, LIGHT, and DEEP; p sleep was significant (p sleep periods and to estimate the three sleep stages. The accuracy was 79.3% for classification and 71.9% for estimation. This is a novel system for measuring body movements and body-surface movements that are induced by respiration and for measuring high sensitivity pulse waves using multiple radar signals. This method simplifies measurement of sleep stages and may be employed at nursing care facilities or by the general public to increase sleep quality.

  9. A novel approach to ECG classification based upon two-layered HMMs in body sensor networks.

    Science.gov (United States)

    Liang, Wei; Zhang, Yinlong; Tan, Jindong; Li, Yang

    2014-03-27

    This paper presents a novel approach to ECG signal filtering and classification. Unlike the traditional techniques which aim at collecting and processing the ECG signals with the patient being still, lying in bed in hospitals, our proposed algorithm is intentionally designed for monitoring and classifying the patient's ECG signals in the free-living environment. The patients are equipped with wearable ambulatory devices the whole day, which facilitates the real-time heart attack detection. In ECG preprocessing, an integral-coefficient-band-stop (ICBS) filter is applied, which omits time-consuming floating-point computations. In addition, two-layered Hidden Markov Models (HMMs) are applied to achieve ECG feature extraction and classification. The periodic ECG waveforms are segmented into ISO intervals, P subwave, QRS complex and T subwave respectively in the first HMM layer where expert-annotation assisted Baum-Welch algorithm is utilized in HMM modeling. Then the corresponding interval features are selected and applied to categorize the ECG into normal type or abnormal type (PVC, APC) in the second HMM layer. For verifying the effectiveness of our algorithm on abnormal signal detection, we have developed an ECG body sensor network (BSN) platform, whereby real-time ECG signals are collected, transmitted, displayed and the corresponding classification outcomes are deduced and shown on the BSN screen.

  10. A Novel Approach to ECG Classification Based upon Two-Layered HMMs in Body Sensor Networks

    Directory of Open Access Journals (Sweden)

    Wei Liang

    2014-03-01

    Full Text Available This paper presents a novel approach to ECG signal filtering and classification. Unlike the traditional techniques which aim at collecting and processing the ECG signals with the patient being still, lying in bed in hospitals, our proposed algorithm is intentionally designed for monitoring and classifying the patient’s ECG signals in the free-living environment. The patients are equipped with wearable ambulatory devices the whole day, which facilitates the real-time heart attack detection. In ECG preprocessing, an integral-coefficient-band-stop (ICBS filter is applied, which omits time-consuming floating-point computations. In addition, two-layered Hidden Markov Models (HMMs are applied to achieve ECG feature extraction and classification. The periodic ECG waveforms are segmented into ISO intervals, P subwave, QRS complex and T subwave respectively in the first HMM layer where expert-annotation assisted Baum-Welch algorithm is utilized in HMM modeling. Then the corresponding interval features are selected and applied to categorize the ECG into normal type or abnormal type (PVC, APC in the second HMM layer. For verifying the effectiveness of our algorithm on abnormal signal detection, we have developed an ECG body sensor network (BSN platform, whereby real-time ECG signals are collected, transmitted, displayed and the corresponding classification outcomes are deduced and shown on the BSN screen.

  11. Topological classification of the Goryachev integrable case in rigid body dynamics

    Science.gov (United States)

    Nikolaenko, S. S.

    2016-01-01

    A topological analysis of the Goryachev integrable case in rigid body dynamics is made on the basis of the Fomenko-Zieschang theory. The invariants (marked molecules) which are obtained give a complete description, from the standpoint of Liouville classification, of the systems of Goryachev type on various level sets of the energy. It turns out that on appropriate energy levels the Goryachev case is Liouville equivalent to many classical integrable systems and, in particular, the Joukowski, Clebsch, Sokolov and Kovalevskaya-Yehia cases in rigid body dynamics, as well as to some integrable billiards in plane domains bounded by confocal quadrics -- in other words, the foliations given by the closures of generic solutions of these systems have the same structure. Bibliography: 15 titles.

  12. Comparison of World Health Organization and Asia-Pacific body mass index classifications in COPD patients

    Directory of Open Access Journals (Sweden)

    Lim JU

    2017-08-01

    Full Text Available Jeong Uk Lim,1 Jae Ha Lee,2 Ju Sang Kim,3 Yong Il Hwang,4 Tae-Hyung Kim,5 Seong Yong Lim,6 Kwang Ha Yoo,7 Ki-Suck Jung,4 Young Kyoon Kim,8 Chin Kook Rhee8 1Division of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, St Paul’s Hospital, College of Medicine, The Catholic University of Korea, 2Division of Pulmonology, Department of Internal Medicine, Inje University College of Medicine, Haeundae Paik Hospital, Busan, 3Division of Pulmonary Medicine, Department of Internal Medicine, Incheon St Mary’s Hospital, College of Medicine, The Catholic University of Korea, Incheon, 4Division of Pulmonary, Allergy and Critical Care Medicine, Department of Internal Medicine, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang, 5Division of Pulmonary and Critical Care Medicine, Hanyang University Guri Hospital, Hanyang University College of Medicine, Guri, 6Division of Pulmonary and Critical Care Medicine, Department of Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, 7Division of Pulmonary, Allergy and Critical Care Medicine, Department of Internal Medicine, Konkuk University School of Medicine, 8Division of Pulmonary, Allergy and Critical Care Medicine, Department of Internal Medicine, Seoul St Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea Introduction: A low body mass index (BMI is associated with increased mortality and low health-related quality of life in patients with COPD. The Asia-Pacific classification of BMI has a lower cutoff for overweight and obese categories compared to the World Health Organization (WHO classification. The present study assessed patients with COPD among different BMI categories according to two BMI classification systems: WHO and Asia-Pacific. Patients and methods: Patients with COPD aged 40 years or older from the Korean COPD Subtype Study cohort were selected for evaluation

  13. Gender differences in the evaluation of physical attractiveness ideals for male and female body builds.

    Science.gov (United States)

    Salusso-Deonier, C J; Markee, N L; Pedersen, E L

    1993-06-01

    The purposes of this research were (1) to explore gender differences in the evaluation of physical attractiveness stimuli developed to represent commonly occurring real builds, (2) to identify observers' concepts of physical attractiveness ideals promoted by the media, and (3) to begin cross-validation of these stimuli as representations of observers' concepts of ideal physical attractiveness for male and female builds. Responses included (1) open-ended descriptions of ideal male and ideal female build, (2) ratings of relative attractiveness of 12 male and 15 female stimuli, (3) selections of stimulus types which best represented ideal builds, and (4) selections of stimulus types perceived to be promoted by the media. Analysis showed strong cross-validation among modes of response. Ideal male build included average/balanced type (small and medium), lean/broad-shouldered type (large), and muscular bulk type (medium). Ideal female body build included average/balanced type (small and medium) and lean/broad-shouldered type (small and medium). Gender differences were in emphasis only. Women emphasized lean/broad-shouldered and average/balanced male types. Men emphasized the muscular bulk male type. Body types perceived to be media-promoted highlighted stereotypic male muscularity and female leanness.

  14. Influence of measurement uncertainty on classification of thermal environment in buildings according to European Standard EN 15251

    DEFF Research Database (Denmark)

    Kolarik, Jakub; Olesen, Bjarne W.

    2015-01-01

    European Standard EN 15 251 in its current version does not provide any guidance on how to handle uncertainty of long term measurements of indoor environmental parameters used for classification of buildings. The objective of the study was to analyse the uncertainty for field measurements...... measurements of operative temperature at two measuring points (south/south-west and north/northeast orientation). Results of the present study suggest that measurement uncertainty needs to be considered during assessment of thermal environment in existing buildings. When expanded standard uncertainty was taken...... of operative temperature and evaluate its effect on categorization of thermal environment according to EN 15251. A data-set of field measurements of operative temperature four office buildings situated in Denmark, Italy and Spain was used. Data for each building included approx. one year of continuous...

  15. Classification of High-Rise Residential Building Facilities: A Descriptive Survey on 170 Housing Scheme in Klang Valley

    Directory of Open Access Journals (Sweden)

    Abd Wahab Siti Rashidah Hanum

    2016-01-01

    Full Text Available High-rise residential building is a type of housing that has multi-dwelling units built on the same land. This type of housing has become popular each year in urban area due to the increasing cost of land. There are several common facilities provided in high-rise residential building. For example playground, swimming pool, gymnasium, 24 hours security system such as CCTV, access card and so on. Thus, maintenance works of the common facilities must be well organised. The purpose of this paper is to identify the classification of facilities provided at high rise residential building. The survey was done on 170 high-rise residential schemes by using stratified random sampling technique. The scope of this research is within Klang Valley area. This area is rapidly developed with high-rise residential building. The objective of this survey is to list down all the facilities provided in each sample of the schemes. The result, there are nine classification of facilities provided for high-rise residential building.

  16. Detection and Classification of Human Body Odor Using an Electronic Nose

    Directory of Open Access Journals (Sweden)

    Teerakiat Kerdcharoen

    2009-09-01

    Full Text Available An electronic nose (E-nose has been designed and equipped with software that can detect and classify human armpit body odor. An array of metal oxide sensors was used for detecting volatile organic compounds. The measurement circuit employs a voltage divider resistor to measure the sensitivity of each sensor. This E-nose was controlled by in-house developed software through a portable USB data acquisition card with a principle component analysis (PCA algorithm implemented for pattern recognition and classification. Because gas sensor sensitivity in the detection of armpit odor samples is affected by humidity, we propose a new method and algorithms combining hardware/software for the correction of the humidity noise. After the humidity correction, the E-nose showed the capability of detecting human body odor and distinguishing the body odors from two persons in a relative manner. The E-nose is still able to recognize people, even after application of deodorant. In conclusion, this is the first report of the application of an E-nose for armpit odor recognition.

  17. Building block extraction and classification by means of Markov random fields using aerial imagery and LiDAR data

    Science.gov (United States)

    Bratsolis, E.; Sigelle, M.; Charou, E.

    2016-10-01

    Building detection has been a prominent area in the area of image classification. Most of the research effort is adapted to the specific application requirements and available datasets. Our dataset includes aerial orthophotos (with spatial resolution 20cm), a DSM generated from LiDAR (with spatial resolution 1m and elevation resolution 20 cm) and DTM (spatial resolution 2m) from an area of Athens, Greece. Our aim is to classify these data by means of Markov Random Fields (MRFs) in a Bayesian framework for building block extraction and perform a comparative analysis with other supervised classification techniques namely Feed Forward Neural Net (FFNN), Cascade-Correlation Neural Network (CCNN), Learning Vector Quantization (LVQ) and Support Vector Machines (SVM). We evaluated the performance of each method using a subset of the test area. We present the classified images, and statistical measures (confusion matrix, kappa coefficient and overall accuracy). Our results demonstrate that the MRFs and FFNN perform better than the other methods.

  18. An anthropometric classification of body contour deformities after massive weight loss.

    Science.gov (United States)

    Iglesias, Martin; Butron, Patricia; Abarca, Leonardo; Perez-Monzo, Mario F; de Rienzo-Madero, Beatriz

    2010-08-01

    Deformities caused by massive weight loss were originally subsidized at the Instituto Nacional de Ciencias Médicas y Nutrición "Salvador Zubirán." This caused great economical losses, which led to the development of a classification to select patients with functional problems secondary to massive weight loss. The parameter used is the size of the pannus in relation to fixed anatomic structures within the following anatomic regions: abdomen, arms, thighs, mammary glands, lateral thoracic area, back, lumbar region, gluteal region, sacrum, and mons pubis. Grade 3 deformities are candidates for body contouring surgery because they constitute a functional problem. Grade 2 deformities reevaluated whether the patient has comorbidities. Lesser grades are considered aesthetic procedures and are not candidates for surgical rehabilitation at the Instituto Nacional de Ciencias Médicas y Nutrición "Salvador Zubirán." This classification allowed an improvement in communication between the different surgical-medical specialties; therefore, we suggest its application not only for surgical-administrative reasons but also for academic purposes.

  19. A SEMI-AUTOMATIC RULE SET BUILDING METHOD FOR URBAN LAND COVER CLASSIFICATION BASED ON MACHINE LEARNING AND HUMAN KNOWLEDGE

    Directory of Open Access Journals (Sweden)

    H. Y. Gu

    2017-09-01

    Full Text Available Classification rule set is important for Land Cover classification, which refers to features and decision rules. The selection of features and decision are based on an iterative trial-and-error approach that is often utilized in GEOBIA, however, it is time-consuming and has a poor versatility. This study has put forward a rule set building method for Land cover classification based on human knowledge and machine learning. The use of machine learning is to build rule sets effectively which will overcome the iterative trial-and-error approach. The use of human knowledge is to solve the shortcomings of existing machine learning method on insufficient usage of prior knowledge, and improve the versatility of rule sets. A two-step workflow has been introduced, firstly, an initial rule is built based on Random Forest and CART decision tree. Secondly, the initial rule is analyzed and validated based on human knowledge, where we use statistical confidence interval to determine its threshold. The test site is located in Potsdam City. We utilised the TOP, DSM and ground truth data. The results show that the method could determine rule set for Land Cover classification semi-automatically, and there are static features for different land cover classes.

  20. Building a Cohesive Body of Design Knowledge: Developments from a Design Science Research Perspective

    DEFF Research Database (Denmark)

    Cash, Philip; Piirainen, Kalle A.

    2015-01-01

    researchers have identified difficulties in building on past works, and combining insights from across the field. This work starts to dissolve some of these issues by drawing on Design Science Research to propose an integrated approach for the development of design research knowledge, coupled with pragmatic......Design is an extremely diverse field where there has been widespread debate on how to build a cohesive body of scientific knowledge. To date, no satisfactory proposition has been adopted across the field – hampering scientific development. Without this basis for bringing research together design...... advice for design researchers. This delivers a number of implications for researchers as well as for the field as a whole....

  1. Formulating Guidelines for Effective Implementation of Green Building Scheme of the Urban Local Bodies

    Directory of Open Access Journals (Sweden)

    Ar. Namrata Amarjeet Mahal

    2016-11-01

    Full Text Available The long-term benefits of green buildings are known at all levels of Government; hence efforts have been taken to promote and incentivize National Green Building Rating System- GRIHA (Green Rating for Integrated Habitat Assessment. Presently, the GRIHA footprint is approximately 29 million square meters, which is less as compared to the pace of development in India. Having said that and presuming the existence of implementation challenges, this research study was conceptualized, primarily with the objective to understand the existing green building policies incentivizing GRIHA, the implementation challenges associated with it and finally formulating guidelines for effective implementation of green building scheme of the ULB (Urban Local Body. The research study based on primary information collated from 71 stakeholders and secondary sources, was concluded with the understanding that the following four components (i Information Management (ii Human Resource Management (iii Knowledge Management (iv Incentive model & outreach and its detailing as elaborated in the paper is of paramount importance for effective implementation of the green building scheme at the ULB level.

  2. A Classification System for the Spread of Polymethyl Methacrylate in Vertebral Bodies Treated with Vertebral Augmentation

    Science.gov (United States)

    Frankl, Joseph; Sakata, Michael P.; Choudhary, Gagandeep; Hur, Seung; Peterson, Andrew; Hennemeyer, Charles T.

    2016-01-01

    In this study, we develop a classification system for describing polymethyl methacrylate (PMMA) spread in vertebral bodies after kyphoplasty or vertebroplasty for vertebral compression fractures (VCFs) and for assessing whether PMMA spread varies between operators, VCF etiology, or vertebral level. Intraoperative fluoroscopic images of 198 vertebral levels were reviewed in 137 patients (women, 84; men, 53; mean age, 75.8 ± 12.5; and those with a diagnosis of osteoporosis, 63%) treated with kyphoplasty between January 01, 2015 and May 31, 2015 at a single center to create a 5-class descriptive system. PMMA spread patterns in the same images were then classified by 2 board-certified radiologists, and a third board-certified radiologist resolved conflicts. A total of 2 primary PMMA spread patterns were identified, namely, acinar and globular, with subtypes of localized acinar, diffuse globular, and mixed, to describe an equal combination of patterns. Interrater reliability using the system was moderate (κ = 0.47). After resolving conflicts, the most common spread class was globular (n = 63), followed by mixed (n = 58), diffuse globular (n = 30), acinar (n = 27), and localized acinar (n = 20). The spread class after treatment by the 2 most frequent operators differed significantly (n1 = 63, n2 = 70; P kyphoplasty and vertebroplasty efficacy and adverse events. PMID:27795998

  3. Building

    OpenAIRE

    Seavy, Ryan

    2014-01-01

    Building for concrete is temporary. The building of wood and steel stands against the concrete to give form and then gives way, leaving a trace of its existence behind. Concrete is not a building material. One does not build with concrete. One builds for concrete. MARCH

  4. Mixed s-sourcery: Building many-body states using bubbles of Nothing

    CERN Document Server

    Swingle, Brian

    2016-01-01

    In arXiv:1407.8203, we introduced the idea of s-sourcery, a general formalism for building many-body quantum ground states using renormalization-group-inspired quantum circuits. Here we define a generalized notion of s-sourcery that applies to mixed states, and study its properties and applicability. We prove a number of theorems establishing the prevalence of mixed s-source fixed points. For our examples we focus on thermal states of local Hamiltonians. Thermal double states (also called thermofield double states) and the machinery of approximate conditional independence are used heavily in the constructions.

  5. Classification and Filtering of Constrained Delaunay Triangulation for Automated Building Aggregation

    Directory of Open Access Journals (Sweden)

    GUO Peipei

    2016-08-01

    Full Text Available Building aggregation is an important part of research on large scale map generalization. A triangulation based approach is proposed from the perspective of shape features, six measure parameters of triangles in a constrained Delaunay triangulation are proposed. First of all, use the six measure parameters to determine which triangles are retained and which are erased. Then, the contours of retained triangles, as bridge areas between buildings, are automatically identified and right angle processed. And then, the buildings are aggregated with right angle feature retained by merging the bridge areas with connecting buildings. Finally, the approach is verified by being carried out on actual data. Experimental result shows that it is efficient and practical.

  6. 29 CFR 779.355 - Classification of lumber and building materials sales.

    Science.gov (United States)

    2010-07-01

    ... LABOR STANDARDS ACT AS APPLIED TO RETAILERS OF GOODS OR SERVICES Exemptions for Certain Retail or... business rather than a function of a retail merchant; (2) Sales of lumber and building materials in...

  7. Assessment of respiratory muscle strength in children according to the classification of body mass index

    Directory of Open Access Journals (Sweden)

    George Jung da Rosa

    2014-06-01

    Full Text Available OBJECTIVE: To assess and compare the respiratory muscle strength among eutrophic, overweight and obese school children, as well as to identify anthropometric and respiratory variables related to the results.METHODS: Cross-sectional survey with healthy schoolchildren aged 7-9 years old, divided into three groups: Normal weight, Overweight and Obese. The International Study of Asthma and Allergies in Childhood (ISAAC questionnaire was applied. The body mass index (BMI was evaluated, as well as the forced expiratory volume in one second (FEV1 with a portable digital device. The maximal inspiratory and expiratory pressures (MIP and MEP were measured by a digital manometer. Comparisons between the groups were made by Kruskal-Wallis test. Spearman's correlation coefficient was used to analyze the correlations among the variables.RESULTS: MIP of eutrophic school children was higher than MIP found in overweight (p=0.043 and obese (p=0.013 children. MIP was correlated with BMI percentile and weight classification (r=-0.214 and r=-0.256 and MEP was correlated with height (r=0.328. Both pressures showed strong correlation with each other in all analyses (r≥0.773, and less correlation with FEV1 (MIP - r=0.362 and MEP - r=0.494. FEV1 correlated with MEP in all groups (r: 0.429 - 0.569 and with MIP in Obese Group (r=0.565. Age was correlated with FEV1 (r=0.578, MIP (r=0.281 and MEP (r=0.328.CONCLUSIONS: Overweight and obese children showed lower MIP values, compared to eutrophic ones. The findings point to the influence of anthropometric variables on respiratory muscle strength in children.

  8. Classification of Potential Water Bodies Using Landsat 8 OLI and a Combination of Two Boosted Random Forest Classifiers.

    Science.gov (United States)

    Ko, Byoung Chul; Kim, Hyeong Hun; Nam, Jae Yeal

    2015-06-11

    This study proposes a new water body classification method using top-of-atmosphere (TOA) reflectance and water indices (WIs) of the Landsat 8 Operational Land Imager (OLI) sensor and its corresponding random forest classifiers. In this study, multispectral images from the OLI sensor are represented as TOA reflectance and WI values because a classification result using two measures is better than raw spectral images. Two types of boosted random forest (BRF) classifiers are learned using TOA reflectance and WI values, respectively, instead of the heuristic threshold or unsupervised methods. The final probability is summed linearly using the probabilities of two different BRFs to classify image pixels to water class. This study first demonstrates that the Landsat 8 OLI sensor has higher classification rate because it provides improved signal-to-ratio radiometric by using 12-bit quantization of the data instead of 8-bit as available from other sensors. In addition, we prove that the performance of the proposed combination of two BRF classifiers shows robust water body classification results, regardless of topology, river properties, and background environment.

  9. Architectural style classification of Mexican historical buildings using deep convolutional neural networks and sparse features

    Science.gov (United States)

    Obeso, Abraham Montoya; Benois-Pineau, Jenny; Acosta, Alejandro Álvaro Ramirez; Vázquez, Mireya Saraí García

    2017-01-01

    We propose a convolutional neural network to classify images of buildings using sparse features at the network's input in conjunction with primary color pixel values. As a result, a trained neuronal model is obtained to classify Mexican buildings in three classes according to the architectural styles: prehispanic, colonial, and modern with an accuracy of 88.01%. The problem of poor information in a training dataset is faced due to the unequal availability of cultural material. We propose a data augmentation and oversampling method to solve this problem. The results are encouraging and allow for prefiltering of the content in the search tasks.

  10. Build-up material requirements in clinical dosimetry during total body irradiation treatments.

    Science.gov (United States)

    Butson, Martin; Pope, Dane; Haque, Mamoon; Chen, Tom; Song, Guangli; Whitaker, May

    2016-01-01

    Total body irradiation (TBI) treatments are mainly used in a preparative regimen for hematopoietic stem cell (or bone marrow) transplantation. Our standard clinical regimen is a 12 Gy/6 fraction bi-daily technique using 6MV X-rays at a large extended source to surface distance (SSD). This work investigates and quantifies the dose build-up characteristics and thus the requirements for bolus used for in vivo dosimetry for TBI applications. Percentage dose build-up characteristics of photon beams have been investigated at large extended SSDs using ionization chambers and Gafchromic film. Open field measurements at different field sizes and with differing scatter conditions such as the introduction of standard Perspex scattering plates at different distances to the measurement point were made in an effort to determine the required bolus/build-up material required for accurate determination of applied dose. Percentage surface dose values measured for open fields at 300 cm SSD were found to range from 20% up to 65.5% for fields 5 cm × 5 cm to 40 cm × 40 cm, respectively. With the introduction of 1 cm Perspex scattering plates used in TBI treatments, the surface dose values increased up to 83-90% (93-97% at 1 mm depth), depending on the position of the Perspex scattering plate compared to the measurement point. Our work showed that at least 5 mm water equivalent bolus/scatter material should be placed over the EBT3 film for accurate dose assessment for TBI treatments. Results also show that a small but measurable decrease in measured dose occurred with 5 mm water equivalent thick bolus material of areas '3 cm(2). As such, we recommend that 3 cm × 3 cm × 5 mm bolus build-up is the smallest size that should be placed over EBT3 Gafchromic film when used for accurate in vivo dosimetry for TBI applications.

  11. Building robust neighborhoods for manifold learning-based image classification and anomaly detection

    Science.gov (United States)

    Doster, Timothy; Olson, Colin C.

    2016-05-01

    We exploit manifold learning algorithms to perform image classification and anomaly detection in complex scenes involving hyperspectral land cover and broadband IR maritime data. The results of standard manifold learning techniques are improved by including spatial information. This is accomplished by creating super-pixels which are robust to affine transformations inherent in natural scenes. We utilize techniques from harmonic analysis and image processing, namely, rotation, skew, flip, and shift operators to develop a more representational graph structure which defines the data-dependent manifold.

  12. Robust Library Building for Autonomous Classification of Downhole Geophysical Logs Using Gaussian Processes

    Science.gov (United States)

    Silversides, Katherine L.; Melkumyan, Arman

    2017-03-01

    Machine learning techniques such as Gaussian Processes can be used to identify stratigraphically important features in geophysical logs. The marker shales in the banded iron formation hosted iron ore deposits of the Hamersley Ranges, Western Australia, form distinctive signatures in the natural gamma logs. The identification of these marker shales is important for stratigraphic identification of unit boundaries for the geological modelling of the deposit. Machine learning techniques each have different unique properties that will impact the results. For Gaussian Processes (GPs), the output values are inclined towards the mean value, particularly when there is not sufficient information in the library. The impact that these inclinations have on the classification can vary depending on the parameter values selected by the user. Therefore, when applying machine learning techniques, care must be taken to fit the technique to the problem correctly. This study focuses on optimising the settings and choices for training a GPs system to identify a specific marker shale. We show that the final results converge even when different, but equally valid starting libraries are used for the training. To analyse the impact on feature identification, GP models were trained so that the output was inclined towards a positive, neutral or negative output. For this type of classification, the best results were when the pull was towards a negative output. We also show that the GP output can be adjusted by using a standard deviation coefficient that changes the balance between certainty and accuracy in the results.

  13. Robust Library Building for Autonomous Classification of Downhole Geophysical Logs Using Gaussian Processes

    Science.gov (United States)

    Silversides, Katherine L.; Melkumyan, Arman

    2016-12-01

    Machine learning techniques such as Gaussian Processes can be used to identify stratigraphically important features in geophysical logs. The marker shales in the banded iron formation hosted iron ore deposits of the Hamersley Ranges, Western Australia, form distinctive signatures in the natural gamma logs. The identification of these marker shales is important for stratigraphic identification of unit boundaries for the geological modelling of the deposit. Machine learning techniques each have different unique properties that will impact the results. For Gaussian Processes (GPs), the output values are inclined towards the mean value, particularly when there is not sufficient information in the library. The impact that these inclinations have on the classification can vary depending on the parameter values selected by the user. Therefore, when applying machine learning techniques, care must be taken to fit the technique to the problem correctly. This study focuses on optimising the settings and choices for training a GPs system to identify a specific marker shale. We show that the final results converge even when different, but equally valid starting libraries are used for the training. To analyse the impact on feature identification, GP models were trained so that the output was inclined towards a positive, neutral or negative output. For this type of classification, the best results were when the pull was towards a negative output. We also show that the GP output can be adjusted by using a standard deviation coefficient that changes the balance between certainty and accuracy in the results.

  14. SU-E-T-275: Dose Build Up and Bolusing Characteristics for Total Body Irradiation Dosimetry

    Energy Technology Data Exchange (ETDEWEB)

    Butson, M; Pope, D; Whitaker, M [Chris O’Brien LifeHouse, Sydney, NSW (Australia)

    2015-06-15

    Purpose: Total Body Irradiation (TBI) treatments are mainly used in a preparative regimen for haematopoietic stem cell (or bone marrow) transplantation. Our standard regimen is a 12 Gy / 6 fraction bi-daily technique. To evaluate the delivered dose homogeneity to the patient, EBT3 Gafchromic film is positioned at the head, neck, chest, pelvis and groin for all fractions. This work investigates and quantifies the build-up dose characteristics at TBI distances and requirements for in-vivo dosimetry bolusing. Methods: Percentage dose build up characteristics of photon beams have been investigated at large extended SSD’s using parallel plate ionisations chambers (Attix) and EBT3 Gafchromic film. Measurements were made to open fields at different field sizes as well as large 40cm × 40cm fields with differing scatter conditions such as the introduction of standard Perspex scattering plates at different distances to the measurement point. Results: Percentage surface dose measured values for open fields at 300 cm SSD were found to range from 20 % up to 65.5 % for fields of 5 cm × 5 cm to 40 cm × 40 cm. With the introduction of 1cm Perspex scattering plates used in TBI treatments the surface dose values increased up to 83% to 90%, depending on the position of the Perspex scattering plate compared to the measurement point. Our work showed that at least 3mm water equivalent bolus / scatter material should be placed over the EBT3 for accurate dose assessment for TBI treatments. Conclusion: Build up dose characteristics exist at long (300cm) SSD’s including treatments using Perspex scattering plates placed at various distances form the patient during TBI treatment. Top accurately assess the applied dose during treatment, in-vivo dosimeters such as Gafchromic EBT3 should have at least 3mm bolus / scatter material placed over them to measure actual applied doses.

  15. The Accuracy of Body Mass Index and Gallagher’s Classification in Detecting Obesity among Iranians

    Directory of Open Access Journals (Sweden)

    Alireza Shahab Jahanlou

    2016-07-01

    Full Text Available Background: The study was conducted to examine the comparability of the BMI and Gallagher’s classification in diagnosing obesity based on the cutoff points of the gold standards and to estimate suitable cutoff points for detecting obesity among Iranians. Methods: The cross-sectional study was comparative in nature. The sample consisted of 20,163 adults. The bioelectrical impedance analysis (BIA was used to measure the variables of interest. Sensitivity, specificity, positive predictive power (PPV, and negative predictive power (NPV were used to evaluate the comparability of the two classification methods in detecting obesity. Results: The BMI wrongly classified 29% of the obese persons as overweight. In both classifications, as age increased, the accuracy of detecting obesity decreased. The Gallagher’s classification is better than MBI in detecting obesity in men with the exception of those older than 59 years. In females, the BMI was better in determining sensitivity. In both classifications, either female or male, an increase in age was associated with a decrease in sensitivity and NPV with the exception of the BMI for the 18 year olds. Gallagher can correctly classify males and females who are less than 40 and 19 years old, respectively. Conclusion: Gallagher’s classification is recommended for non-obese in both sexes and in obese males younger than 40 years old. The BMI is recommended for obese females. The suitable cutoff points for the BMI to detect obesity are 27.70 kg/m2 for females and males, 27.70 kg/m2 for females, and 27.30 kg/m2 for males.

  16. Body mass index: different nutritional status according to WHO, OPAS and Lipschitz classifications in gastrointestinal cancer patients

    Directory of Open Access Journals (Sweden)

    Katia Barao

    2012-06-01

    Full Text Available CONTEXT: The body mass index (BMI is the most common marker used on diagnoses of the nutritional status. The great advantage of this index is the easy way to measure, the low cost, the good correlation with the fat mass and the association to morbidity and mortality. OBJECTIVE: To compare the BMI differences according to the WHO, OPAS and Lipschitz classification. METHODS: A prospective study on 352 patients with esophageal, gastric or colorectal cancer was done. The BMI was calculated and analyzed by the classification of WHO, Lipschitz and OPAS. RESULTS: The mean age was 62.1 ± 12.4 years and 59% of them had more than 59 years. The BMI had not difference between the genders in patients <59 years (P = 0.75, but over 59 years the BMI was higher in women (P<0.01. The percentage of undernourished was 7%, 18% and 21% (P<0.01 by WHO, Lipschitz and OPAS, respectively. The overweight/obesity was also different among the various classifications (P<0.01. CONCLUSIONS: Most of the patients with gastrointestinal cancer had more than 65 years. A different cut off must be used for this patients, because undernourished patients may be wrongly considered well nourished.

  17. Physical fitness of secondary school adolescents in relation to the body weight and the body composition: classification according to World Health Organization. Part I.

    Science.gov (United States)

    Chwałczyńska, Agnieszka; Jędrzejewski, Grzegorz; Socha, Małgorzata; Jonak, Wiesława; Sobiech, Krzysztof A

    2017-03-01

    Underweight and obesity are important factors affecting the level of physical fitness. The aim of this study was to assess physical fitness of lower secondary school adolescents in relation to BMI. Two-hundred students, aged 14-16, were examined. Respondents were divided into 4 groups according to BMI classification. The body height and weight were determined. Physical fitness was assessed on the basis Zuchora's ISF tests. The body weight deficiency occurred in 3% of girls and 5% of boys, overweight was noted in 14% of both groups, and obesity in 6% and 12% accordingly. Statistically significant differences were determined in the components of physical fitness. They were noted in both genders between the group of children with standard body weight and overweight as well as obese children. Significant negative correlations were determined between and the components of physical fitness. More significant correlations giving evidence to the decrease of Zuchora's ISF score along with the increase of BMI were more significant in girls. Statistically significant differences between the boys and girls were determined in all five Zuchora's tests. The highest scores in physical fitness were achieved by the boys and girls with weight deficiency.

  18. Physical fitness of secondary school adolescents in relation to the body weight and the body composition: classification according to Bioelectrical Impedance Analysis. Part II.

    Science.gov (United States)

    Chwałczyńska, Agnieszka; Jędrzejewski, Grzegorz; Lewandowski, Zdzisław; Jonak, Wiesława; Sobiech, Krzysztof A

    2017-03-01

    Underweight and obesity are important factors affecting the level of physical fitness. The aim of this study was to assess physical fitness of lower secondary school adolescents in relation to BMI. Two-hundred students, aged 14-16, were examined. Respondents were divided into 4 groups according to BMI classification. The body height and weight were determined. Physical fitness was assessed on the basis Zuchora's ISF tests. The body weight deficiency occurred in 3% of girls and 5% of boys, overweight was noted in 14% of both groups, and obesity in 6% and 12% accordingly. Statistically significant differences were determined in the components of physical fitness. They were noted in both genders between the group of children with standard body weight and overweight as well as obese children. Significant negative correlations were determined between and the components of physical fitness. More significant correlations giving evidence to the decrease of Zuchora's ISF score along with the increase of BMI were more significant in girls. Statistically significant differences between the boys and girls were determined in all five Zuchora's tests. The highest scores in physical fitness were achieved by the boys and girls with weight deficiency.

  19. Build-up of lead in the bodies of beetles living in an environment contaminated by automotive exhaust gases

    Energy Technology Data Exchange (ETDEWEB)

    Zhulidov, A.V.; Yemets, V.M.

    1979-01-01

    Lead in automobile exhaust gases gets deposited on and builds up in roadside soils, grasses, plants, trees, shrubs, mosses, and the bodies of birds and mammals. Insects, and particularly beetles, have not been studied in this respect. This gap is now filled by investigating the build-up of lead in the bodies of the beetles inhabiting these milieux. To this end, insects of 12 species were gathered from forested areas in neighborhood of a heavily traveled highway, along with samples of soil and vegetation. The lead content in all these samples was determined in the form of the colloidal ash of a sulfur compound. For comparison, beetles of 5 species gathered in the same area during 1930 to 1939 were also analyzed. The build-up of lead in the beetles was markedly higher than in the soil and vegetation samples. The lead content of the beetles varied depending on species: the soil-infesting beetles (Carabidae) contained much more lead in their bodies than the plant infesting beetles such as the Scarabeidae, the Buprestidae, and the Cerambycidae. Compared with the beetles collected during 1930 to 1939, the beetles collected in 1975 in the Voronezh Natural Preserve (through which the highway runs) display a much higher lead content. The build-up of lead in beetle bodies can be used as an index of environmental pollution to monitor the state of roadside ecosystems. This is particularly important for natural preserves on which, in general, heavy motor vehicle traffic is not justified.

  20. Mixed s -sourcery: Building many-body states using bubbles of nothing

    Science.gov (United States)

    Swingle, Brian; McGreevy, John

    2016-10-01

    We recently introduced the idea of s -sourcery [B. Swingle and J. McGreevy, Phys. Rev. B 93, 045127 (2016), 10.1103/PhysRevB.93.045127], a general formalism for building many-body quantum ground states using renormalization-group-inspired quantum circuits. Here we define a generalized notion of s -sourcery that applies to mixed states and study its properties and applicability. For our examples we focus on thermal states of local Hamiltonians. We prove a number of theorems establishing the prevalence of mixed s -source fixed points, giving results for free fermion models, conformal field theories, holographic models, and topological phases. Thermal double states (also called thermofield double states) and the machinery of approximate conditional independence are used heavily in the constructions. For a large class of models we provide an information theoretic argument for the existence of a local Hamiltonian whose ground state is the thermal double state, and in some cases we construct such a Hamiltonian.

  1. Cardiovascular manifestations of anabolic steroids in association with demographic variables in body building athletes

    Directory of Open Access Journals (Sweden)

    Farzad Gheshlaghi

    2015-01-01

    Full Text Available Background: The most common drug abuse among athletes is anabolic steroids which lead to the development of cardiovascular diseases and sudden death. Thus, the aim of this study was to evaluate cardiovascular outcomes of anabolic consumption in body building athletes. Materials and Methods: Totally, 267 male athletes at the range of 20-45 years old with the regular consumption of anabolic steroids for >2 months with at least once weekly. High-density lipoprotein (HDL, low-density lipoprotein (LDL, triglyceride (TG, and hematocrit (Hct levels were measured after 10 h of fasting. Data analysis was performed using K2, t-test, ANOVA and correlation coefficient through SPSS 17. Results: There was a nonsignificant difference between groups regarding HDL, TG, and total cholesterol. There was a significant decrease in the total and categorized LDL and Hct levels in consumers of anabolic steroid versus nonusers (P = 0.01 and P = 0.041, respectively. Results showed a significant increase in systolic and diastolic blood pressure (SBP and DBP in anabolic steroid users which associates with duration of abuse (P = 0.02 and P = 0.03, respectively. No significant electrocardiography changes were found within the follow-up period. Conclusion: Increase in SBP or DBP is a common complication of these drugs which can lead serious vascular disorders. The lower LDL cholesterol level might be due to the higher amounts of lipid consumption in these athletes.

  2. Role of adolescent female volleyball players' psychophysiological properties and body build in performance of different elements of the game.

    Science.gov (United States)

    Stamm, Raini; Stamm, Meelis; Thomson, Kaivo

    2005-08-01

    Body-build peculiarities (49 body measurements) and psychophysiological properties (21 computerized tests) of 32 adolescent female volleyballers were studied to assess their significance in performance at competitions. Games were recorded by the original computer program Game, and an index of proficiency representative elements of the game was calculated for each player. Regression analysis was applied to predict the best psychophysiological and anthropometric models for serve, reception, block, feint, and attack. Seven tests of psychophysiological indices and 14 anthropometric variables explained 38-98% and 32-83% of skill performance, respectively. Consequently, to improve young volleyball players' performance, everyday coaching should be complemented by detailed assessment of their body build and psychophysiological characteristics.

  3. Automatic classification of endogenous seismic sources within a landslide body using random forest algorithm

    Science.gov (United States)

    Provost, Floriane; Hibert, Clément; Malet, Jean-Philippe; Stumpf, André; Doubre, Cécile

    2016-04-01

    Different studies have shown the presence of microseismic activity in soft-rock landslides. The seismic signals exhibit significantly different features in the time and frequency domains which allow their classification and interpretation. Most of the classes could be associated with different mechanisms of deformation occurring within and at the surface (e.g. rockfall, slide-quake, fissure opening, fluid circulation). However, some signals remain not fully understood and some classes contain few examples that prevent any interpretation. To move toward a more complete interpretation of the links between the dynamics of soft-rock landslides and the physical processes controlling their behaviour, a complete catalog of the endogeneous seismicity is needed. We propose a multi-class detection method based on the random forests algorithm to automatically classify the source of seismic signals. Random forests is a supervised machine learning technique that is based on the computation of a large number of decision trees. The multiple decision trees are constructed from training sets including each of the target classes. In the case of seismic signals, these attributes may encompass spectral features but also waveform characteristics, multi-stations observations and other relevant information. The Random Forest classifier is used because it provides state-of-the-art performance when compared with other machine learning techniques (e.g. SVM, Neural Networks) and requires no fine tuning. Furthermore it is relatively fast, robust, easy to parallelize, and inherently suitable for multi-class problems. In this work, we present the first results of the classification method applied to the seismicity recorded at the Super-Sauze landslide between 2013 and 2015. We selected a dozen of seismic signal features that characterize precisely its spectral content (e.g. central frequency, spectrum width, energy in several frequency bands, spectrogram shape, spectrum local and global maxima

  4. Body mass index classification misses subjects with increased cardiometabolic risk factors related to elevated adiposity.

    Science.gov (United States)

    Gómez-Ambrosi, J; Silva, C; Galofré, J C; Escalada, J; Santos, S; Millán, D; Vila, N; Ibañez, P; Gil, M J; Valentí, V; Rotellar, F; Ramírez, B; Salvador, J; Frühbeck, G

    2012-02-01

    Body mass index (BMI) is widely used as a measure of overweight and obesity, but underestimates the prevalence of both conditions, defined as an excess of body fat. We assessed the degree of misclassification on the diagnosis of obesity using BMI as compared with direct body fat percentage (BF%) determination and compared the cardiovascular and metabolic risk of non-obese and obese BMI-classified subjects with similar BF%. We performed a cross-sectional study. A total of 6123 (924 lean, 1637 overweight and 3562 obese classified according to BMI) Caucasian subjects (69% females), aged 18-80 years. BMI, BF% determined by air displacement plethysmography and well-established blood markers of insulin sensitivity, lipid profile and cardiovascular risk were measured. We found that 29% of subjects classified as lean and 80% of individuals classified as overweight according to BMI had a BF% within the obesity range. Importantly, the levels of cardiometabolic risk factors, such as C-reactive protein, were higher in lean and overweight BMI-classified subjects with BF% within the obesity range (men 4.3 ± 9.2, women 4.9 ± 19.5 mg l(-1)) as well as in obese BMI-classified individuals (men 4.2 ± 5.5, women 5.1 ± 13.2 mg l(-1)) compared with lean volunteers with normal body fat amounts (men 0.9 ± 0.5, women 2.1 ± 2.6 mg l(-1); Pbody fat, the inclusion of body composition measurements together with morbidity evaluation in the routine medical practice both for the diagnosis and the decision-making for instauration of the most appropriate treatment of obesity is desirable.

  5. Binary classification of dyslipidemia from the waist-to-hip ratio and body mass index: a comparison of linear, logistic, and CART models

    Directory of Open Access Journals (Sweden)

    Paccaud Fred

    2004-04-01

    Full Text Available Abstract Background We sought to improve upon previously published statistical modeling strategies for binary classification of dyslipidemia for general population screening purposes based on the waist-to-hip circumference ratio and body mass index anthropometric measurements. Methods Study subjects were participants in WHO-MONICA population-based surveys conducted in two Swiss regions. Outcome variables were based on the total serum cholesterol to high density lipoprotein cholesterol ratio. The other potential predictor variables were gender, age, current cigarette smoking, and hypertension. The models investigated were: (i linear regression; (ii logistic classification; (iii regression trees; (iv classification trees (iii and iv are collectively known as "CART". Binary classification performance of the region-specific models was externally validated by classifying the subjects from the other region. Results Waist-to-hip circumference ratio and body mass index remained modest predictors of dyslipidemia. Correct classification rates for all models were 60–80%, with marked gender differences. Gender-specific models provided only small gains in classification. The external validations provided assurance about the stability of the models. Conclusions There were no striking differences between either the algebraic (i, ii vs. non-algebraic (iii, iv, or the regression (i, iii vs. classification (ii, iv modeling approaches. Anticipated advantages of the CART vs. simple additive linear and logistic models were less than expected in this particular application with a relatively small set of predictor variables. CART models may be more useful when considering main effects and interactions between larger sets of predictor variables.

  6. Relative significance of heat transfer processes to quantify tradeoffs between complexity and accuracy of energy simulations with a building energy use patterns classification

    Science.gov (United States)

    Heidarinejad, Mohammad

    This dissertation develops rapid and accurate building energy simulations based on a building classification that identifies and focuses modeling efforts on most significant heat transfer processes. The building classification identifies energy use patterns and their contributing parameters for a portfolio of buildings. The dissertation hypothesis is "Building classification can provide minimal required inputs for rapid and accurate energy simulations for a large number of buildings". The critical literature review indicated there is lack of studies to (1) Consider synoptic point of view rather than the case study approach, (2) Analyze influence of different granularities of energy use, (3) Identify key variables based on the heat transfer processes, and (4) Automate the procedure to quantify model complexity with accuracy. Therefore, three dissertation objectives are designed to test out the dissertation hypothesis: (1) Develop different classes of buildings based on their energy use patterns, (2) Develop different building energy simulation approaches for the identified classes of buildings to quantify tradeoffs between model accuracy and complexity, (3) Demonstrate building simulation approaches for case studies. Penn State's and Harvard's campus buildings as well as high performance LEED NC office buildings are test beds for this study to develop different classes of buildings. The campus buildings include detailed chilled water, electricity, and steam data, enabling to classify buildings into externally-load, internally-load, or mixed-load dominated. The energy use of the internally-load buildings is primarily a function of the internal loads and their schedules. Externally-load dominated buildings tend to have an energy use pattern that is a function of building construction materials and outdoor weather conditions. However, most of the commercial medium-sized office buildings have a mixed-load pattern, meaning the HVAC system and operation schedule dictate

  7. [Body dysmorphic disorder. Epidemiology, clinical symptoms, classification and differential treatment indications: an overview].

    Science.gov (United States)

    Driesch, Georg; Burgmer, Markus; Heuft, Gereon

    2004-09-01

    Body dysmorphic disorder (BDD), also known as dysmorphophobia, is a relatively common disorder that consists of preoccupation with some imagined or slight defect in physical appearance. The preoccupation causes emotional distress and social impairment. Overvalued ideation and referential thinking are prevalent. BDD has a rich tradition in European psychiatry, but it first entered the official psychiatric nomenclature as a separate disorder in DSM-III-R in 1987. In the last 10 years it has received increasing empirical attention. BDD has been hypothesized to be related to obsessive-compulsive disorder (OCD) or may be conceptualized as hypochondriacal disorder. According to its body image disturbance it has been related to cenesthesia, eating disorders, and transsexualism. This paper presents the current level of awareness about BDD based on an analysis of the relevant literature. Empirical data are summarized and clinical signs are described. Varying therapies are critically reviewed.

  8. Gender and Ethnicity Classification from Small Subsets of Human Body Measurements

    Science.gov (United States)

    2014-03-01

    Waist Circumference at Preferred Waist HAND-LTH† Hand Length CRO-LTH-PREF Crotch Length to Preferred Waist HT* Height CRO-HT Crotch Height WT Weight...estimation of circumferences and obscured lengths, such as waist circumference and crotch length, etc. In addition, the extracted measurement...to include length, breadth, and circumference of different body segments plus height and weight (Table 1). These measurements capture size and

  9. Artificial neural network-based classification of body movements in ambulatory ECG signal.

    Science.gov (United States)

    Darji, Sachin T; Kher, Rahul K

    2013-11-01

    Abstract Ambulatory ECG monitoring provides electrical activity of the heart when a person is involved in doing normal routine activities. Thus, the recorded ECG signal consists of cardiac signal along with motion artifacts introduced due to a person's body movements during routine activities. Detection of motion artifacts due to different physical activities might help in further cardiac diagnosis. Ambulatory ECG signal analysis for detection of various motion artifacts using adaptive filtering approach is addressed in this paper. We have used BIOPAC MP 36 system for acquiring ECG signal. The ECG signals of five healthy subjects (aged between 22-30 years) were recorded while the person performed various body movements like up and down movement of the left hand, up and down movement of the right hand, waist twisting movement while standing and change from sitting down on a chair to standing up movement in lead I configuration. An adaptive filter-based approach has been used to extract the motion artifact component from the ambulatory ECG signal. The features of motion artifact signal, extracted using Gabor transform, have been used to train the artificial neural network (ANN) for classifying body movements.

  10. Winning Bodies and Souls: State Building and the Necessity of Nationalism

    Science.gov (United States)

    2008-12-01

    135 Toby Dodge, "Iraq: Contradictions of Neoliberal State Building" In From Nation Building to State Building, ed. Mark T. Berger...heavily involved in the war in Vietnam. This involvement solidified Nixon’s decision that the U.S. “cannot – and will not – conceive all the plans , design... contradict the earlier claims about nationalism as a necessary condition, it is in effect supporting the claim in that what Kaplan is referring to

  11. Classification and assessment of water bodies as adaptive structural measures for flood risk management planning.

    Science.gov (United States)

    McMinn, William R; Yang, Qinli; Scholz, Miklas

    2010-09-01

    Severe rainfall events have become increasingly common in Europe. Flood defence engineering works are highly capital intensive and can be limited by land availability, leaving land and communities exposed to repeated flooding. Any adaptive drainage structure must have engineered inlets and outlets that control the water level and the rate of release. In Scotland, there are a relatively high number of drinking water reservoirs (operated by Scottish Water), which fall within this defined category and could contribute to flood management control. Reducing the rate of runoff from the upper reaches of a catchment will reduce the volume and peak flows of flood events downstream, thus allowing flood defences to be reduced in size, decreasing the corresponding capital costs. A database of retention basins with flood control potential has been developed for Scotland. The research shows that the majority of small and former drinking water reservoirs are kept full and their spillways are continuously in operation. Utilising some of the available capacity to contribute to flood control could reduce the costs of complying with the EU Flood Directive. Furthermore, the application of a previously developed classification model for Baden in Germany for the Scottish data set showed a lower diversity for basins in Scotland due to less developed infrastructure. The principle value of this approach is a clear and unambiguous categorisation, based on standard variables, which can help to promote communication and understanding between stakeholders.

  12. The applicability of FORMOSAT-2 images to coastal waters/bodies classification

    Science.gov (United States)

    Teodoro, Ana; Duarte, Lia; Silva, Pedro

    2015-10-01

    FORMOSAT-2, launched in May 2004, is a Taiwanese satellite developed by the National Space Organization (NSPO) of Taiwan. The Remote Sensing Instrument (RSI) is a high spatial- resolution optical sensor onboard FORMOSAT-2 with a 2 m spatial resolution in the panchromatic (PAN) band and a 8 m spatial resolution in four multispectral (MS) bands from the visible to near-infrared region. The RSI images acquired during the daytime can be used for land cover/use studies, natural and forestry resources, disaster prevention and rescue works. The main objectives of this work were to investigate the application of FORMOSAT-2 data in order to: (1) identify beach patterns; (2) correctly extract a sand spit boundary. Different pixel-based and object-based classification algorithms were applied to four FORMOSAT-2 scenes and the results were compared with the results already obtained in previous works. Analyzing the results obtained, is possible to conclude that the FORMOSAT-2 data are adequate to the correct identification of beach patterns and to an accurately extraction of the sand spit boundary (Douro river estuary, Porto, Portugal). The results obtained were compared with the results already achieved with IKONOS-2 images. In conclusion, this research has demonstrated that the FORMOSAT-2 data and image processing techniques employed are an effective methodology to identify beach patterns and to correctly extract sand spit boundaries. In the future more FORMOSAT-2 images will be processed and will be consider the use of pan sharped images and data mining algorithms.

  13. Actual versus ideal body weight for acute kidney injury diagnosis and classification in critically ill patients.

    Science.gov (United States)

    Thongprayoon, Charat; Cheungpasitporn, Wisit; Akhoundi, Abbasali; Ahmed, Adil H; Kashani, Kianoush B

    2014-11-15

    In the current acute kidney injury (AKI) definition, the urine output (UO) criterion does not specify which body weights (BW), i.e. actual (ABW) versus ideal (IBW), should be used to diagnose and stage AKI, leading to heterogeneity across research studies. This is a single center, retrospective, observational study conducted at a tertiary referral hospital. All adult patients who were admitted to intensive care units (ICUs) at our institution for a minimum of 6 continuous hours between January and March 2010 and had a urinary catheter for hourly urine output monitoring were eligible for this study. Patients' AKI stages, based on UO criterion, were assessed by calculating each milliliter of urine per kilogram per hour, using ABW versus IBW. A total of 493 ICU patients were included in the analysis. The median ABW and IBW were 82 (IQR 68-96) and 70 (IQR 60-77) kg, respectively. Using the IBW criterion, 154 patients (31.2%) were diagnosed with AKI, while 204 (41.4%) were diagnosed using the ABW measurement (P-valueABW but not IBW had no significant increase in the risk of 90-day mortality, adjusted OR 0.76; (95% CI 0.25-1.91), compared to patients who had no AKI. Using ABW to diagnose and stage AKI by UO criterion is more sensitive and less specific than IBW. Based on the application of the definition, different BW types could be utilized.

  14. Classification of body dysmorphic disorder - what is the advantage of the new DSM-5 criteria?

    Science.gov (United States)

    Schieber, Katharina; Kollei, Ines; de Zwaan, Martina; Martin, Alexandra

    2015-03-01

    In DSM-5 the diagnosis of body dysmorphic disorder (BDD) has been subjected to two important changes: Firstly, BDD has been assigned to the category of obsessive-compulsive and related disorders. Secondly, a new criterion has been defined requiring the presence of repetitive behaviors or mental acts in response to appearance concerns. The aims of this study were to report the prevalence rates of BDD based on a DSM-5 diagnosis, and to evaluate the impact of the recently introduced DSM-5 criteria for BDD by comparing the prevalence rates (DSM-5 vs. BDD-criteria (DSM-IV/DSM-5), dysmorphic concerns, and depressive symptoms, were assessed in a representative sample of the German general population (N=2129, aged 18-65years). The association between BDD case identification based on DSM-IV and DSM-5 was strong (Phi=.95, pDSM-5 was slightly lower (2.9%, n=62 vs. 3.2%, n=68). Approximately one third of the identified BDD (DSM-5) cases reported time-consuming behavioral acts in response to appearance concerns. In detail, 0.8% of the German general population fulfilled the BDD criteria and reported repetitive acts of at least one hour/day. The revised criteria of BDD in DSM-5 do not seem to have an impact on prevalence rates. However, the recently added B-criterion reflects more precisely the clinical symptoms of BDD, and may be useful for distinguishing between various severity levels related to repetitive behaviors/mental acts. Copyright © 2015 Elsevier Inc. All rights reserved.

  15. The Geohazard Safety Classification: how resilience could play a role in the geo-hydrological hazards assessment of school buildings.

    Science.gov (United States)

    Pazzi, Veronica; Morelli, Stefano; Casagli, Nicola

    2016-04-01

    The impacts of adverse events related to geological hazards are unevenly distributed among communities and groups of individuals concentrated in restricted workplaces. Their consequent safety level is the result of differential exposures to these events and of diversified levels of preparation to them. Nowadays, the exposure and coping ability as co-determinants of people's safety are of particular interest for institutions managing the schools systems. According to the disaster risk reduction experts, the geo-hydrological processes can be mitigated with knowledge and planning, physical and environmental protection measures, and response preparedness. UNISDR is promoting a global culture of safety and resilience through the integration of disaster risk reduction in school curricula. The Comprehensive School Safety (CSS) framework is intended to advance the goals of the Worldwide Initiative for Safe Schools and the Global Alliance for Disaster Risk Reduction and Resilience in the Education Sector, and to promote school safety as a priority area of post-2015 frameworks for sustainable development, risk reduction and resilience. In Italy, according the latest ministerial survey (June 2010), there are 41,902 school buildings. Their alarming condition in terms of safety for their daily occupants is reflected by 39 fatalities ascribable to structural failures in the last 21 years. In 95% of these cases victims are a sad tribute due to natural phenomena. A rigorous evaluation of the total risk of a school building, as defined by the well known risk equation (R=HxVxE), would require a complete probability density function describing the exposure to specific types of events of all the pupils and personnel in the school. In addition, the probability that the inhabitants are present in the school during an event should be estimated depending on the time of day, day of week, or month of the year, as well as on local holiday schedules. The inclusion of resilience as a component

  16. Examining the Potential Unintended Effects of a Healthful Living Curriculum Upon Children’s Weight-Related Beliefs, Body Satisfaction, and Body Build Stereotypes

    Directory of Open Access Journals (Sweden)

    Jennifer Paff Ogle

    2008-12-01

    Full Text Available This exploratory work was guided by the question of whether health education messages about food and exercise might inadvertently influence children’s beliefs about weight controllability, body satisfaction, weight self-assessments, desire to alter weight, and body build stereotypes. Participants were 80 children (38 boys, 42 girls aged 7 to 13 years enrolled in a week-long “FunLIFE” summer camp offered at a large university. FunLIFE was created in response to the childhood obesity crisis and focuses upon Learning to Improve Fitness and Eating (thus, the acronym “LIFE”. Pre- and posttest questionnaires were administered at four camp sessions. Findings indicated that participation in FunLIFE camp did not influence children’s weight controllability beliefs, level of body satisfaction, their self-assessments of their weight, or their desire to alter or maintain their weight. Exposure to the FunLIFE curriculum did, however, positively impact children’s stereotypes about both overweight and thin children. Findings and implications are discussed.

  17. How to Build an Embodiment Lab: Achieving Body Representation Illusions in Virtual Reality

    Directory of Open Access Journals (Sweden)

    Bernhard eSpanlang

    2014-11-01

    Full Text Available Advances in computer graphics algorithms and virtual reality (VR systems, together with the reduction in cost of associated equipment, have led scientists to consider VR as a useful tool for conducting experimental studies in fields such as neuroscience and experimental psychology. In particular virtual body ownership, where the feeling of ownership over a virtual body is elicited in the participant, has become a useful tool in the study of body representation, in cognitive neuroscience and psychology, concerned with how the brain represents the body. Although VR has been shown to be a useful tool for exploring body ownership illusions, integrating the various technologies necessary for such a system can be daunting. In this paper we discuss the technical infrastructure necessary to achieve virtual embodiment. We describe a basic VR system and how it may be used for this purpose, and then extend this system with the introduction of real-time motion capture, a simple haptics system and the integration of physiological and brain electrical activity recordings.

  18. Building Information Modeling (BIM) and the Construction Management Body of Knowledge

    OpenAIRE

    Yalcinkaya, Mehmet; Arditi, David

    2013-01-01

    Part 11: Special Session: BIM; International audience; Building Information Modeling (BIM) is a process by which a digital representation of the physical and functional characteristics of a facility are built, analyzed, documented and assessed virtually, then revised iteratively until the optimal model is documented. The virtual BIM model is not only graphical design but also a virtual database which includes the management data. So the construction manager (CM) can use BIM as a real simulati...

  19. Effects of prey macronutrient content on body composition and nutrient intake in a web-building spider.

    Directory of Open Access Journals (Sweden)

    Jesse Hawley

    Full Text Available The nutritional composition of diets can vary widely in nature and have large effects on the growth, reproduction and survival of animals. Many animals, especially herbivores, will tightly regulate the nutritional composition of their body, which has been referred to as nutritional homeostasis. We tested how experimental manipulation of the lipid and protein content of live prey affected the nutrient reserves and subsequent diet regulation of web-building spiders, Argiope keyserlingi. Live locusts were injected with experimental solutions containing specific amounts of lipid and protein and then fed to spiders. The nutrient composition of the spiders' bodies was directly related to the nutrient composition of the prey on which they fed. We then conducted an experiment where spiders were fed either high lipid or high protein prey and subsequently provided with two large unmanipulated locusts. Prior diet did not affect the amount or ratio of lipid and protein ingested by spiders when feeding on unmanipulated prey. Argiope keyserlingi were flexible in the storage of lipid and protein in their bodies and did not bias their extraction of nutrients from prey to compensate for previously biased diets. Some carnivores, especially those that experience frequent food limitation, may be less likely to strictly regulate their body composition than herbivores because food limitation may encourage opportunistic ingestion and assimilation of nutrients.

  20. Effects of prey macronutrient content on body composition and nutrient intake in a web-building spider.

    Science.gov (United States)

    Hawley, Jesse; Simpson, Stephen J; Wilder, Shawn M

    2014-01-01

    The nutritional composition of diets can vary widely in nature and have large effects on the growth, reproduction and survival of animals. Many animals, especially herbivores, will tightly regulate the nutritional composition of their body, which has been referred to as nutritional homeostasis. We tested how experimental manipulation of the lipid and protein content of live prey affected the nutrient reserves and subsequent diet regulation of web-building spiders, Argiope keyserlingi. Live locusts were injected with experimental solutions containing specific amounts of lipid and protein and then fed to spiders. The nutrient composition of the spiders' bodies was directly related to the nutrient composition of the prey on which they fed. We then conducted an experiment where spiders were fed either high lipid or high protein prey and subsequently provided with two large unmanipulated locusts. Prior diet did not affect the amount or ratio of lipid and protein ingested by spiders when feeding on unmanipulated prey. Argiope keyserlingi were flexible in the storage of lipid and protein in their bodies and did not bias their extraction of nutrients from prey to compensate for previously biased diets. Some carnivores, especially those that experience frequent food limitation, may be less likely to strictly regulate their body composition than herbivores because food limitation may encourage opportunistic ingestion and assimilation of nutrients.

  1. Moving Bodies, Building Minds: Foster Preschoolers' Critical Thinking and Problem Solving through Movement

    Science.gov (United States)

    Marigliano, Michelle L.; Russo, Michele J.

    2011-01-01

    Creative movement is an ideal way to help young children develop critical-thinking and problem-solving skills. Most young children are, by nature, extremely physical. They delight in exploring the world with their bodies and expressing their ideas and feelings through movement. During creative movement experiences, children learn to think before…

  2. MRF-based segmentation and unsupervised classification for building and road detection in peri-urban areas of high-resolution satellite images

    Science.gov (United States)

    Grinias, Ilias; Panagiotakis, Costas; Tziritas, Georgios

    2016-12-01

    We present in this article a new method on unsupervised semantic parsing and structure recognition in peri-urban areas using satellite images. The automatic "building" and "road" detection is based on regions extracted by an unsupervised segmentation method. We propose a novel segmentation algorithm based on a Markov random field model and we give an extensive data analysis for determining relevant features for the classification problem. The novelty of the segmentation algorithm lies on the class-driven vector data quantization and clustering and the estimation of the likelihoods given the resulting clusters. We have evaluated the reachability of a good classification rate using the Random Forest method. We found that, with a limited number of features, among them some new defined in this article, we can obtain good classification performance. Our main contribution lies again on the data analysis and the estimation of likelihoods. Finally, we propose a new method for completing the road network exploiting its connectivity, and the local and global properties of the road network.

  3. The body, "prison of the soul", and nation building in "Soledad" by Soledad Acosta de Samper

    Directory of Open Access Journals (Sweden)

    Sandra Leal Larrarte

    2015-12-01

    Full Text Available One of those novels from which little is known in the world of Colombian literature is “Dolores” (1887. Written at a time when women “did not write”, in which also the recently won freedom forced intellectuals in the region to create nation, their imaginary and their identity. To this join effort is added, the almost aristocratic writer and journalist Soledad Acosta de Samper, who, without forgetting her duty as a voice for women, presents a story proper of the romanticism that prevailed in her days. Here is analyzed how in “Dolores” the body is presented as a symbol of the strict social hierarchies in which the fledgling republic was organized, but also the sick body as a symbol of women’s isolation and the only resource of personal development in which it was wanted, and still is, to confine women.

  4. Thickness of the human cranial diploe in relation to age, sex and general body build

    DEFF Research Database (Denmark)

    Lynnerup, Niels; Astrup, Jacob G; Sejrsen, Birgitte

    2005-01-01

    BACKGROUND: Earlier studies have addressed the human total cranial vault thickness and generally found no correlation with sex, age or body weight. However, the thickness of the diploe has not been investigated. Our study has determined the diploeic thickness of the human cranial vault using modern...... correlations between the diploeic thickness and age and height and weight of the individual. CONCLUSION: Males overall have a thicker diploe, albeit this difference is statistically significant only in the frontal region. We could not discern any trends as pertains to diploeic thickness versus age, height...

  5. Building an experimental model of the human body with non-physiological parameters.

    Science.gov (United States)

    Labuz, Joseph M; Moraes, Christopher; Mertz, David R; Leung, Brendan M; Takayama, Shuichi

    2017-03-01

    New advances in engineering and biomedical technology have enabled recent efforts to capture essential aspects of human physiology in microscale, in-vitro systems. The application of these advances to experimentally model complex processes in an integrated platform - commonly called a 'human-on-a-chip (HOC)' - requires that relevant compartments and parameters be sized correctly relative to each other and to the system as a whole. Empirical observation, theoretical treatments of resource distribution systems and natural experiments can all be used to inform rational design of such a system, but technical and fundamental challenges (e.g. small system blood volumes and context-dependent cell metabolism, respectively) pose substantial, unaddressed obstacles. Here, we put forth two fundamental principles for HOC design: inducing in-vivo-like cellular metabolic rates is necessary and may be accomplished in-vitro by limiting O2 availability and that the effects of increased blood volumes on drug concentration can be mitigated through pharmacokinetics-based treatments of solute distribution. Combining these principles with natural observation and engineering workarounds, we derive a complete set of design criteria for a practically realizable, physiologically faithful, five-organ millionth-scale (× 10(-6)) microfluidic model of the human body.

  6. [Modern problems of the application of sanitary regulations concerning sanitary protection zones and sanitary classification of enterprises, buildings and other facilities].

    Science.gov (United States)

    Lomtev, A Iu; Eremin, G B; Mozzhukhina, N A; Kombarova, M Iu; Mel'tser, A V; Giul'mamedov, É Iu

    2013-01-01

    In this paper there was performed an analysis of the application of sanitary norms and rules concerning sanitary protective zones and sanitary classification of enterprises, buildings and other facilities, including requirements for the sufficiency and accuracy of information in the performance of projects in sanitary protection zone (SPZ). There is presented an analysis of regulations that set requirements for implementation of mapping works in drafting the SPZ. The design of the SPZ was shown to be, on the one hand, the element of territorial planning subjects of the Russian Federation, on the other hand, the object of capital construction. The substantiations of requirements for graphic and text content, structure, and composition of data, sources of their obtaining, methods of data convergence are reported. There are revealed inconsistencies in Sanitary Regulations and Norms (SanPins) and in their relationship with the Town Planning and Land Code and other laws, and regulations adopted in their development.

  7. The Names of Heavenly Bodies and Luminaries as a Basis for Word-building and Metaphorical Application in the Poetry of Misak Metzarents

    Science.gov (United States)

    Arakelyan, Karine; Santryan, Liana

    2016-12-01

    The metaphorical applications of heavenly bodies and luminaries in the poetry of the famous Western Armenian poet Missak Metsarents are very diverse and of great variety. The poet admired the beauty of nature and the greater parts of his poems are devoted to representation of nature, where heavenly bodies and phenomena are of special interest. They often help to reveal one's inner life, emotions, expectations, and feelings. Many times these units are bases for word-building; new, also poetical words building and they create unique beauty.

  8. Volumetric response classification in metastatic solid tumors on MSCT: Initial results in a whole-body setting

    Energy Technology Data Exchange (ETDEWEB)

    Wulff, A.M., E-mail: a.wulff@rad.uni-kiel.de [Klinik für Diagnostische Radiologie, Arnold-Heller-Straße 3, Haus 23, 24105 Kiel (Germany); Fabel, M. [Klinik für Diagnostische Radiologie, Arnold-Heller-Straße 3, Haus 23, 24105 Kiel (Germany); Freitag-Wolf, S., E-mail: freitag@medinfo.uni-kiel.de [Institut für Medizinische Informatik und Statistik, Brunswiker Str. 10, 24105 Kiel (Germany); Tepper, M., E-mail: m.tepper@rad.uni-kiel.de [Klinik für Diagnostische Radiologie, Arnold-Heller-Straße 3, Haus 23, 24105 Kiel (Germany); Knabe, H.M., E-mail: h.knabe@rad.uni-kiel.de [Klinik für Diagnostische Radiologie, Arnold-Heller-Straße 3, Haus 23, 24105 Kiel (Germany); Schäfer, J.P., E-mail: jp.schaefer@rad.uni-kiel.de [Klinik für Diagnostische Radiologie, Arnold-Heller-Straße 3, Haus 23, 24105 Kiel (Germany); Jansen, O., E-mail: o.jansen@neurorad.uni-kiel.de [Klinik für Diagnostische Radiologie, Arnold-Heller-Straße 3, Haus 23, 24105 Kiel (Germany); Bolte, H., E-mail: hendrik.bolte@ukmuenster.de [Klinik für Nuklearmedizin, Albert-Schweitzer-Campus 1, Gebäude A1, 48149 Münster (Germany)

    2013-10-01

    Purpose: To examine technical parameters of measurement accuracy and differences in tumor response classification using RECIST 1.1 and volumetric assessment in three common metastasis types (lung nodules, liver lesions, lymph node metastasis) simultaneously. Materials and methods: 56 consecutive patients (32 female) aged 41–82 years with a wide range of metastatic solid tumors were examined with MSCT for baseline and follow up. Images were evaluated by three experienced radiologists using manual measurements and semi-automatic lesion segmentation. Institutional ethics review was obtained and all patients gave written informed consent. Data analysis comprised interobserver variability operationalized as coefficient of variation and categorical response classification according to RECIST 1.1 for both manual and volumetric measures. Continuous data were assessed for statistical significance with Wilcoxon signed-rank test and categorical data with Fleiss kappa. Results: Interobserver variability was 6.3% (IQR 4.6%) for manual and 4.1% (IQR 4.4%) for volumetrically obtained sum of relevant diameters (p < 0.05, corrected). 4–8 patients’ response to therapy was classified differently across observers by using volumetry compared to standard manual measurements. Fleiss kappa revealed no significant difference in categorical agreement of response classification between manual (0.7558) and volumetric (0.7623) measurements. Conclusion: Under standard RECIST thresholds there was no advantage of volumetric compared to manual response evaluation. However volumetric assessment yielded significantly lower interobserver variability. This may allow narrower thresholds for volumetric response classification in the future.

  9. Building Footprints, Building Footprints - includes a classifed attribute - ID buildings as residential and accessory, Published in 2008, 1:2400 (1in=200ft) scale, Effingham County Board Of Commissioners.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Building Footprints dataset, published at 1:2400 (1in=200ft) scale, was produced all or in part from Orthoimagery information as of 2008. It is described as...

  10. The Application of Data Mining Technology to Build a Forecasting Model for Classification of Road Traffic Accidents

    Directory of Open Access Journals (Sweden)

    Yau-Ren Shiau

    2015-01-01

    Full Text Available With the ever-increasing number of vehicles on the road, traffic accidents have also increased, resulting in the loss of lives and properties, as well as immeasurable social costs. The environment, time, and region influence the occurrence of traffic accidents. The life and property loss is expected to be reduced by improving traffic engineering, education, and administration of law and advocacy. This study observed 2,471 traffic accidents which occurred in central Taiwan from January to December 2011 and used the Recursive Feature Elimination (RFE of Feature Selection to screen the important factors affecting traffic accidents. It then established models to analyze traffic accidents with various methods, such as Fuzzy Robust Principal Component Analysis (FRPCA, Backpropagation Neural Network (BPNN, and Logistic Regression (LR. The proposed model aims to probe into the environments of traffic accidents, as well as the relationships between the variables of road designs, rule-violation items, and accident types. The results showed that the accuracy rate of classifiers FRPCA-BPNN (85.89% and FRPCA-LR (85.14% combined with FRPCA is higher than that of BPNN (84.37% and LR (85.06% by 1.52% and 0.08%, respectively. Moreover, the performance of FRPCA-BPNN and FRPCA-LR combined with FRPCA in classification prediction is better than that of BPNN and LR.

  11. Classification and promotion different types of information product by internet marketing on the example of machine building enterprises

    Directory of Open Access Journals (Sweden)

    Roman Oksentyuk

    2013-11-01

    Full Text Available Considering the features of modern marketing, Internet-marketing in particular, the types of promotion information products are classified in the article, such as a separate product (goods,firm or company, thematic information resource (website, online-store, online-project. All of the above objects have their own characteristics, both in content and in the budget part, which leads to differences in the choice of promotion strategy, selection of Internet-marketing techniques and, consequently, the relative efficiency of the use by machine-building enterprises. We consider each of them separately and set the typical promotion scheme through information technology and World Wide Web. Made the estimation of marketing effectiveness use of strategies to promote different types of Internet-based products, which should include a number of parameters that are presented in this article. Analyzed the importance of availability of website as a necessary condition for the successful promotion of their products in the market and doing business in today's market environment.

  12. Classification of jet fuel properties by near-infrared spectroscopy using fuzzy rule-building expert systems and support vector machines.

    Science.gov (United States)

    Xu, Zhanfeng; Bunker, Christopher E; Harrington, Peter de B

    2010-11-01

    Monitoring the changes of jet fuel physical properties is important because fuel used in high-performance aircraft must meet rigorous specifications. Near-infrared (NIR) spectroscopy is a fast method to characterize fuels. Because of the complexity of NIR spectral data, chemometric techniques are used to extract relevant information from spectral data to accurately classify physical properties of complex fuel samples. In this work, discrimination of fuel types and classification of flash point, freezing point, boiling point (10%, v/v), boiling point (50%, v/v), and boiling point (90%, v/v) of jet fuels (JP-5, JP-8, Jet A, and Jet A1) were investigated. Each physical property was divided into three classes, low, medium, and high ranges, using two evaluations with different class boundary definitions. The class boundaries function as the threshold to alarm when the fuel properties change. Optimal partial least squares discriminant analysis (oPLS-DA), fuzzy rule-building expert system (FuRES), and support vector machines (SVM) were used to build the calibration models between the NIR spectra and classes of physical property of jet fuels. OPLS-DA, FuRES, and SVM were compared with respect to prediction accuracy. The validation of the calibration model was conducted by applying bootstrap Latin partition (BLP), which gives a measure of precision. Prediction accuracy of 97 ± 2% of the flash point, 94 ± 2% of freezing point, 99 ± 1% of the boiling point (10%, v/v), 98 ± 2% of the boiling point (50%, v/v), and 96 ± 1% of the boiling point (90%, v/v) were obtained by FuRES in one boundaries definition. Both FuRES and SVM obtained statistically better prediction accuracy over those obtained by oPLS-DA. The results indicate that combined with chemometric classifiers NIR spectroscopy could be a fast method to monitor the changes of jet fuel physical properties.

  13. A proposed limnological classification of small water bodies based on the climate, in a tropical region: Mexico

    OpenAIRE

    2007-01-01

    Small aquatic systems (100 ha) in Mexico are commonly regulated by the climate. The climate generates a temporal unit of variation throughout the year along a latitudinal gradient, that is strongly modified by the altitude. The proposed grouping of small water bodies into limnological regions in Mexico is associated with six ecological areas that are defined by the climate: a) a humid tropical area that covers 4.7% of the country’s surface, b) a sub-humid tropical area with 23%, c) a humid te...

  14. Flushing time as a descriptor for heavily modified water bodies classification and management: application to the Huelva Harbour.

    Science.gov (United States)

    Sámano, María Luisa; Bárcena, Javier F; García, Andrés; Gómez, Aina G; Álvarez, César; Revilla, José Antonio

    2012-09-30

    Since the flushing time is a physical descriptor used to distinguish between different types of heavily modified water bodies (HMWB), the establishment of a methodology for its calculation becomes important. In order to achieve this task, a methodological procedure involving the tide mean value and variable river flow values is proposed. The hydrodynamics were assessed using a two-dimensional model which integrates the depth-averaged mass and momentum equations in the time and space domains and includes a wet-dry point treatment method. The hydrodynamic model calibration and validation were performed on the basis of tidal gauge and velocity current measurements. A reasonable agreement with the field measurements of water elevation and velocity were achieved. On the other hand, a two-dimensional mathematical model, which solves the depth-averaged advection-diffusion equation, was properly calibrated and used to evaluate the behaviour of a conservative tracer within a water body. The transport model calibration was developed according to the field survey data carried out during late spring when the rivers flows are low. This study allowed the flushing time estimation under four scenarios showing that only the estuarine mouth presents a high renewal rate because the current velocities are higher. For heavy rain periods, a flushing time decrease was observed as river flows modify the circulation in the main channel. Neglecting the river forcing was found to be valid for the dry period.

  15. Co-simulation for performance prediction of integrated building and HVAC systems - An analysis of solution characteristics using a two-body system

    Energy Technology Data Exchange (ETDEWEB)

    Trcka, Marija; L.M. Hensena, Jan; Wetter, Michael

    2010-06-21

    Integrated performance simulation of buildings and heating, ventilation and airconditioning (HVAC) systems can help reducing energy consumption and increasing occupant comfort. However, no single building performance simulation (BPS) tool offers suffcient capabilities and flexibilities to analyze integrated building systems and to enable rapid prototyping of innovative building and system technologies. One way to alleviate this problem is to use co-simulation to integrate different BPS tools. Co-simulation approach represents a particular case of simulation scenario where at least two simulators solve coupled differential-algebraic systems of equations and exchange data that couples these equations during the time integration. This article analyzes how co-simulation influences consistency, stability and accuracy of the numerical approximation to the solution. Consistency and zero-stability are studied for a general class of the problem, while a detailed consistency and absolute stability analysis is given for a simple two-body problem. Since the accuracy of the numerical approximation to the solution is reduced in co-simulation, the article concludes by discussing ways for how to improve accuracy.

  16. [Accepted Manuscript] Building the nation's body: The contested role of abortion and family planning in post-war South Sudan.

    OpenAIRE

    Palmer, J.J.; Storeng, K.T.

    2016-01-01

    This paper offers an ethnographic analysis of public health policies and interventions targeting unwanted pregnancy (family planning and abortion) in contemporary South Sudan as part of wider 'nation-building' after war, understood as a process of collective identity formation which projects a meaningful future by redefining existing institutions and customs as national characteristics. The paper shows how the expansion of post-conflict family planning and abortion policy and services are par...

  17. A novel human body exergy consumption formula to determine indoor thermal conditions for optimal human performance in office buildings

    DEFF Research Database (Denmark)

    Wu, Xiaozhou; Zhao, Jianing; Olesen, Bjarne W.

    2013-01-01

    to optimal human performance, as has so often been assumed. According to the second law of thermodynamics, it makes sense that optimal human performance coincides with minimum human body exergy consumption and that this should occur under thermal conditions in which human thermal sensation is close...

  18. Building classification trees to explain the radioactive contamination levels of the plants; Construction d'arbres de discrimination pour expliquer les niveaux de contamination radioactive des vegetaux

    Energy Technology Data Exchange (ETDEWEB)

    Briand, B

    2008-04-15

    The objective of this thesis is the development of a method allowing the identification of factors leading to various radioactive contamination levels of the plants. The methodology suggested is based on the use of a radioecological transfer model of the radionuclides through the environment (A.S.T.R.A.L. computer code) and a classification-tree method. Particularly, to avoid the instability problems of classification trees and to preserve the tree structure, a node level stabilizing technique is used. Empirical comparisons are carried out between classification trees built by this method (called R.E.N. method) and those obtained by the C.A.R.T. method. A similarity measure is defined to compare the structure of two classification trees. This measure is used to study the stabilizing performance of the R.E.N. method. The methodology suggested is applied to a simplified contamination scenario. By the results obtained, we can identify the main variables responsible of the various radioactive contamination levels of four leafy-vegetables (lettuce, cabbage, spinach and leek). Some extracted rules from these classification trees can be usable in a post-accidental context. (author)

  19. Mathematical modeling of the emission of heavy metals into water bodies from building materials derived from production waste

    Directory of Open Access Journals (Sweden)

    Pugin Konstantin Georgievich

    2016-01-01

    Full Text Available At the present time industrial waste is considered to be an alternative to primary natural resources when producing construction materials and products. The use of industrial waste in the construction branch allows reducing ecological load on the environment and population as a result of reducing the amount of unrecyclable waste and reducing the use of primary natural resources. Though when involving waste products as raw material in the preparation of building materials there occur environmental risks of anthropogenic impact increase on the environment. These risks are related to possible emission of heavy metals from construction materials in use. The article describes a tool which allows predicting this issue, depending on the acidity of the medium, the residence time of the material in the environment. The experimental data obtained in determining the migration activity of metals from cement concretes to aqueous solutions served as the basis for the mathematical model. The proposed model allows us to make a prediction of anthropogenic impact on the environment and commensurate this impact with the possibility of assimilation of the environment area where the building materials are applied. This will allow conducting an effective assessment of the created and applied technologies of waste disposal, taking into account the operating conditions of the materials produced.

  20. Building the nation's body: The contested role of abortion and family planning in post-war South Sudan.

    Science.gov (United States)

    Palmer, Jennifer J; Storeng, Katerini T

    2016-11-01

    This paper offers an ethnographic analysis of public health policies and interventions targeting unwanted pregnancy (family planning and abortion) in contemporary South Sudan as part of wider 'nation-building' after war, understood as a process of collective identity formation which projects a meaningful future by redefining existing institutions and customs as national characteristics. The paper shows how the expansion of post-conflict family planning and abortion policy and services are particularly poignant sites for the enactment of reproductive identity negotiation, policing and conflict. In addition to customary norms, these processes are shaped by two powerful institutions - ethnic movements and global humanitarian actors - who tend to take opposing stances on reproductive health. Drawing on document review, observations of the media and policy environment and interviews conducted with 54 key informants between 2013 and 2015, the paper shows that during the civil war, the Sudan People's Liberation Army and Movement mobilised customary pro-natalist ideals for military gain by entreating women to amplify reproduction to replace those lost to war and rejecting family planning and abortion. International donors and the Ministry of Health have re-conceptualised such services as among other modern developments denied by war. The tensions between these competing discourses have given rise to a range of societal responses, including disagreements that erupt in legal battles, heated debate and even violence towards women and health workers. In United Nations camps established recently as parts of South Sudan have returned to war, social groups exert a form of reproductive surveillance, policing reproductive health practices and contributing to intra-communal violence when clandestine use of contraception or abortion is discovered. In a context where modern contraceptives and abortion services are largely unfamiliar, conflict around South Sudan's nation-building

  1. 浅谈农民体育健身工程的实施%Discuss on the Implementation of Farmers Body-building Project

    Institute of Scientific and Technical Information of China (English)

    曹凤珠; 孙桂清

    2012-01-01

    The implementation of farmers' body-building project is the need of enhancing farmers' health and improving the level of farmers' health,and is the need of achieving agricultural efficiency,rural incomes and well-off society.The gymnastics of gesture combination can enhance the health farmers' enhance and physical fitness,develop the correct body posture,correct bad posture,shape the beautiful body,develop their aesthetic concept,mold their beautiful sentiment,and bring new life for farmers.%实施农民体育健身工程是增强农民体质、提高农民健康水平的需要,是实现农业增效、农民增收和全面建设小康社会的需要。姿态组合操不但能增进农民健康,增强体质,培养正确的身体姿态,矫正不良的身体姿势,还能塑造美的形体,培养正确的审美观念,陶冶美的情操,带给农民新生活。

  2. Classification of jet fuels by fuzzy rule-building expert systems applied to three-way data by fast gas chromatography--fast scanning quadrupole ion trap mass spectrometry.

    Science.gov (United States)

    Sun, Xiaobo; Zimmermann, Carolyn M; Jackson, Glen P; Bunker, Christopher E; Harrington, Peter B

    2011-01-30

    A fast method that can be used to classify unknown jet fuel types or detect possible property changes in jet fuel physical properties is of paramount interest to national defense and the airline industries. While fast gas chromatography (GC) has been used with conventional mass spectrometry (MS) to study jet fuels, fast GC was combined with fast scanning MS and used to classify jet fuels into lot numbers or origin for the first time by using fuzzy rule-building expert system (FuRES) classifiers. In the process of building classifiers, the data were pretreated with and without wavelet transformation and evaluated with respect to performance. Principal component transformation was used to compress the two-way data images prior to classification. Jet fuel samples were successfully classified with 99.8 ± 0.5% accuracy for both with and without wavelet compression. Ten bootstrapped Latin partitions were used to validate the generalized prediction accuracy. Optimized partial least squares (o-PLS) regression results were used as positively biased references for comparing the FuRES prediction results. The prediction results for the jet fuel samples obtained with these two methods were compared statistically. The projected difference resolution (PDR) method was also used to evaluate the fast GC and fast MS data. Two batches of aliquots of ten new samples were prepared and run independently 4 days apart to evaluate the robustness of the method. The only change in classification parameters was the use of polynomial retention time alignment to correct for drift that occurred during the 4-day span of the two collections. FuRES achieved perfect classifications for four models of uncompressed three-way data. This fast GC/fast MS method furnishes characteristics of high speed, accuracy, and robustness. This mode of measurement may be useful as a monitoring tool to track changes in the chemical composition of fuels that may also lead to property changes.

  3. Effects of Four Week Body Building Training on Under Skin Fat Percent if Non-Athlete Female Students

    Directory of Open Access Journals (Sweden)

    Amineh Sahranavard Gargari

    2011-09-01

    Full Text Available The aim of this study is to study the effect of a training program using weight on under skin fat percent in various body parts of female students of Islamic Azad university of Shabestar. Among 70 students, 40 who had physical education 1,2 course aging 18 to 25 were selected. They were all physically healthy. Using Caliper Under skin fat thickness in areas triceps, Abdomen, femur was measured and categorized using age based woman fat percent estimation table. Average of three times measuring before and after training program was calculated as fat percent using "Raven". Training program by weight consisted of 4 week each containing 3 sessions of 45 min. Results revealed that although most of samples had Lost weight, under skin fat percent before and after program showed significant difference of p<10% yet training program by weight for weight control has been more effective than weight loss.

  4. An Ecology Cultural Approach to the Ethnic Body-building Exercise%民族健身操运动的生态文化审视

    Institute of Scientific and Technical Information of China (English)

    李晓通; 张予云

    2012-01-01

    National body building exercise is the outstanding creation of national minorities in special ecological environment. It changes dance into exercise and combines Chinese and western sports culture, integrates the national tradition sports in modern performance art and establishes it's own system, reflecting the harmonious co-prosperity between human and nature, human and society, human and culture, the national tradition sports development direction. The paper Synthetically studies ethnic body-building exercise from the perspective of ecological culture, understands the development rules from the ecological culture, cultural ecology and ecological development aspects, explores the idea of development, and reveals mutual functions among multi-cultural elements and provides reference for sports culture inheritance and development.%民族健身操塑舞成操,融合了中西体育文化因子,寓民族传统体育于现代表演艺术之中,自成体系,体现了人与自然、人与社会、人与文化等的和谐共荣,也反映了民族传统体育的发展方向.文章从生态文化的多维视角对民族健身操进行综合审视,从生态文化特质、文化生态及生态化发展三个方面认识其发展规律,揭示它在文化构成中多种文化元素间的相互作用,探索其发展思路,为民族传统体育文化更好地传承和发展服务.

  5. Open Source Fundamental Industry Classification

    OpenAIRE

    Kakushadze, Zura; Yu, Willie

    2017-01-01

    We provide complete source code for building a fundamental industry classification based on publically available and freely downloadable data. We compare various fundamental industry classifications by running a horserace of short-horizon trading signals (alphas) utilizing open source heterotic risk models (https://ssrn.com/abstract=2600798) built using such industry classifications. Our source code includes various stand-alone and portable modules, e.g., for downloading/parsing web data, etc.

  6. Building Procurement

    DEFF Research Database (Denmark)

    Andersson, Niclas

    2007-01-01

    despite this excellent book, the knowledge, expertise, well-articulated argument and collection of recent research efforts that are provided by the three authors will help to make project success less elusive. The book constitutes a thorough and comprehensive investigation of building procurement, which......, which gives the book a challenging contribution to the existing body of knowledge....

  7. The VVV Templates Project. Towards an Automated Classification of VVV Light-Curves. I. Building a database of stellar variability in the near-infrared

    CERN Document Server

    Angeloni, R; Catelan, M; Dékány, I; Gran, F; Alonso-García, J; Hempel, M; Navarrete, C; Andrews, H; Aparicio, A; Beamín, J C; Berger, C; Borissova, J; Peña, C Contreras; Cunial, A; de Grijs, R; Espinoza, N; Eyheramendy, S; Lopes, C E Ferreira; Fiaschi, M; Hajdu, G; Han, J; Hełminiak, K G; Hempel, A; Hidalgo, S L; Ita, Y; Jeon, Y -B; Jordán, A; Kwon, J; Lee, J T; Martín, E L; Masetti, N; Matsunaga, N; Milone, A P; Minniti, D; Morelli, L; Murgas, F; Nagayama, T; Navarro, C; Ochner, P; Pérez, P; Pichara, K; Rojas-Arriagada, A; Roquette, J; Saito, R K; Siviero, A; Sohn, J; Sung, H -I; Tamura, M; Tata, R; Tomasella, L; Townsend, B; Whitelock, P

    2014-01-01

    Context. The Vista Variables in the V\\'ia L\\'actea (VVV) ESO Public Survey is a variability survey of the Milky Way bulge and an adjacent section of the disk carried out from 2010 on ESO Visible and Infrared Survey Telescope for Astronomy (VISTA). VVV will eventually deliver a deep near-IR atlas with photometry and positions in five passbands (ZYJHK_S) and a catalogue of 1-10 million variable point sources - mostly unknown - which require classifications. Aims. The main goal of the VVV Templates Project, that we introduce in this work, is to develop and test the machine-learning algorithms for the automated classification of the VVV light-curves. As VVV is the first massive, multi-epoch survey of stellar variability in the near-infrared, the template light-curves that are required for training the classification algorithms are not available. In the first paper of the series we describe the construction of this comprehensive database of infrared stellar variability. Methods. First we performed a systematic sea...

  8. Classification in Medical Imaging

    DEFF Research Database (Denmark)

    Chen, Chen

    Classification is extensively used in the context of medical image analysis for the purpose of diagnosis or prognosis. In order to classify image content correctly, one needs to extract efficient features with discriminative properties and build classifiers based on these features. In addition......, a good metric is required to measure distance or similarity between feature points so that the classification becomes feasible. Furthermore, in order to build a successful classifier, one needs to deeply understand how classifiers work. This thesis focuses on these three aspects of classification...... to segment breast tissue and pectoral muscle area from the background in mammogram. The second focus is the choices of metric and its influence to the feasibility of a classifier, especially on k-nearest neighbors (k-NN) algorithm, with medical applications on breast cancer prediction and calcification...

  9. Acoustic classification of dwellings

    DEFF Research Database (Denmark)

    Berardi, Umberto; Rasmussen, Birgit

    2014-01-01

    Schemes for the classification of dwellings according to different building performances have been proposed in the last years worldwide. The general idea behind these schemes relates to the positive impact a higher label, and thus a better performance, should have. In particular, focusing on soun...... exchanging experiences about constructions fulfilling different classes, reducing trade barriers, and finally increasing the sound insulation of dwellings.......Schemes for the classification of dwellings according to different building performances have been proposed in the last years worldwide. The general idea behind these schemes relates to the positive impact a higher label, and thus a better performance, should have. In particular, focusing on sound...... insulation performance, national schemes for sound classification of dwellings have been developed in several European countries. These schemes define acoustic classes according to different levels of sound insulation. Due to the lack of coordination among countries, a significant diversity in terms...

  10. Design and Implementation of a Climbing Body-Building Device%一种攀爬健身器的设计与实现

    Institute of Scientific and Technical Information of China (English)

    贺柳操

    2015-01-01

    The paper designs and manufactures a new type of fitness. The body-building device adopts a mode of baby crawling combined with the climbing. By using rational principle of kinematics, it can realize the multi-sites exercise such as upper limb, lower limbs, abdomen, back, and achieve the of effects of slimming body , slendering waist, prettifying legs.Due to reasonable design, low carbon, environmental protection,it is an ideal leisure fitness equipment.%文章设计并制造了一款新型健身器,该健身器采用模仿婴儿爬行与攀岩运动结合的运动模式,是一种全新的健身运动方式。设计上合理地运用运动学原理,以几个简单的动作来实现对上肢、背部、腹部、下肢等多部位的锻炼,从而达到塑身、纤腰、美腿等效果。设计合理,低碳环保,是一种理想的休闲健身器械。

  11. Optimizing Mining Association Rules for Artificial Immune System based Classification

    Directory of Open Access Journals (Sweden)

    SAMEER DIXIT

    2011-08-01

    Full Text Available The primary function of a biological immune system is to protect the body from foreign molecules known as antigens. It has great pattern recognition capability that may be used to distinguish between foreigncells entering the body (non-self or antigen and the body cells (self. Immune systems have many characteristics such as uniqueness, autonomous, recognition of foreigners, distributed detection, and noise tolerance . Inspired by biological immune systems, Artificial Immune Systems have emerged during the last decade. They are incited by many researchers to design and build immune-based models for a variety of application domains. Artificial immune systems can be defined as a computational paradigm that is inspired by theoretical immunology, observed immune functions, principles and mechanisms. Association rule mining is one of the most important and well researched techniques of data mining. The goal of association rules is to extract interesting correlations, frequent patterns, associations or casual structures among sets of items in thetransaction databases or other data repositories. Association rules are widely used in various areas such as inventory control, telecommunication networks, intelligent decision making, market analysis and risk management etc. Apriori is the most widely used algorithm for mining the association rules. Other popular association rule mining algorithms are frequent pattern (FP growth, Eclat, dynamic itemset counting (DIC etc. Associative classification uses association rule mining in the rule discovery process to predict the class labels of the data. This technique has shown great promise over many other classification techniques. Associative classification also integrates the process of rule discovery and classification to build the classifier for the purpose of prediction. The main problem with the associative classification approach is the discovery of highquality association rules in a very large space of

  12. Myosin heavy chain composition of single fibres from m. biceps brachii of male body builders

    DEFF Research Database (Denmark)

    Klitgaard, H; Zhou, M.-Y.; Richter, Erik

    1990-01-01

    expression of MHC isoforms within histochemical type II fibres of human skeletal muscle with body building. Furthermore, in human skeletal muscle differences in expression of MHC isoforms may not always be reflected in the traditional histochemical classification of types I, IIa, IIb and IIc fibres....

  13. The interplay of descriptor-based computational analysis with pharmacophore modeling builds the basis for a novel classification scheme for feruloyl esterases

    DEFF Research Database (Denmark)

    Udatha, D.B.R.K. Gupta; Kouskoumvekaki, Irene; Olsson, Lisbeth

    2011-01-01

    on amino acid composition and physico-chemical composition descriptors derived from the respective amino acid sequence. A Support Vector Machine model was subsequently constructed for the classification of new FAEs into the pre-assigned clusters. The model successfully recognized 98.2% of the training...... sequences and all the sequences of the blind test. The underlying functionality of the 12 proposed FAE families was validated against a combination of prediction tools and published experimental data. Another important aspect of the present work involves the development of pharmacophore models for the new...

  14. The Consumption of Body-building and the Construction of Place in a Metropolis%大城市健身消费与地方建构

    Institute of Scientific and Technical Information of China (English)

    林耿; 沈建萍

    2011-01-01

    随着全球消费社会的到来,消费如何重塑人地关系日渐成为人文地理学研究的选题,西方学界自20世纪90年代即开启了消费实践与地理学的全面联结.这种学术观照自然而然地延展到消费关系中折射出来的地理想象、地方认同和空间生产等主题之中.作为城市化衍生的生活方式,健身消费成为身体地理、空间想象和地方建构等研究交汇的重要议题.研究援引建构取向的地方理论以及行动者网络理论,分析行动者对“健身”的转译过程,指出行动者的消费关系社会性地建构了一个地理想象的“健康天堂”,健身的消费想象,与话语权力的凝视和影响是高度相关的.地理空间生产一种功能性消费关系和节点型人地关系,后者将本土消费关系想象式地嵌入到全球消费文化脉络之中,将人地关系从本土联结和延伸到全球.通过身体实践的方式,行动者网络下的健身消费关系将微区位建构为多层次的地方.地方是一个现实与虚拟、本土与全球交互的关键节点,一种多向度的节点型人地关系可以在地理微区位中得到体现.%How consumption restructures man-land relationship is becoming an important subject in human geography, with the coming of global consumption society. Western geographers began to study the connection between consumption practice and geography early in the 1990s, and today the research has already extended to the issues such as geographical imagination, place identity and space production, all of which could be reflected in consumption relationship. As a way of life under urbanization, consumption of body-building has become an important topic in the interdisciplinary field of body geography, space imagination and place construction. This paper analyzes how the actors translate body-building by some qualitative methods, on the basis of place theory of constructivism and actor network theory. The authors

  15. When the diameter of the abdominal aorta should be considered as abnormal? A new ultrasonographic index using the wrist circumference as a body build reference

    Energy Technology Data Exchange (ETDEWEB)

    Sconfienza, Luca Maria, E-mail: io@lucasconfienza.it [Servizio di Radiologia, IRCCS Policlinico San Donato, Piazza Malan 2 – 20097 San Donato Milanese, Milano (Italy); Dipartimento di Scienze Biomediche per la Salute, Università degli Studi di Milano, Piazza Malan 2 – 20097 San Donato Milanese, Milano (Italy); Santagostino, Ilaria, E-mail: isantagostino@hotmail.it [Scuola di Specializzazione in Radiodiagnostica, Università degli Studi di Milano, Via Festa del Perdono 7, 20100 Milano (Italy); Di Leo, Giovanni, E-mail: gianni.dileo77@gmail.com [Servizio di Radiologia, IRCCS Policlinico San Donato, Piazza Malan 2 – 20097 San Donato Milanese, Milano (Italy); Piazza, Raffaella; Gozzi, Gino, E-mail: radiologia.como@hsacomo.org [Diagnostica per Immagini, Ospedale Sant’Anna, Via Ravona 1, 22020 San Fermo della Battaglia, Como (Italy); Trimarchi, Santi, E-mail: satrimarchi@gmail.com [Chirurgia Vascolare II, IRCCS Policlinico San Donato, Piazza Malan 2 – 20097 San Donato Milanese, Milano (Italy); Sardanelli, Francesco, E-mail: francesco.sardanelli@unimi.it [Servizio di Radiologia, IRCCS Policlinico San Donato, Piazza Malan 2 – 20097 San Donato Milanese, Milano (Italy); Dipartimento di Scienze Biomediche per la Salute, Università degli Studi di Milano, Piazza Malan 2 – 20097 San Donato Milanese, Milano (Italy)

    2013-10-01

    Purpose: To use US to evaluate the normal values of aortic diameter (AD), stratifying the population by age, gender and body build, as measured using wrist circumference (WC). Materials and methods: Between April 2010 and February 2012, consecutive patients ≥ 30 years of age, without history of abdominal aortic aneurysm (AAA) were prospectively enrolled. They underwent an abdominal ultrasonography for reasons other than aorta evaluation. AD was measured at the infrarenal (AD{sub 1}), intermediate (AD{sub 2}), and iliac bifurcation (AD{sub 3}) levels: a diameter ≥ 3 cm was considered as an aneurysm. The maximal aortic diameter (AD{sub max}) was measured for AAA patients. WC was measured; AD/WC ratio was calculated and presented in percentage: the range of normal values was obtained excluding AAA cases and calculated as mean ± 1.96 × standard deviation. Pearson correlation coefficient was used. Results: We recruited 1200 patients, 15 (1.25%; age range = 64–86 years) had AAA. AD ranges of the other patients were: AD{sub 1} = 0.74–1.84 cm, AD{sub 2} = 0.78–1.85 cm, and AD{sub 3} = 0.68–1.76 cm for females; AD{sub 1} = 0.86–2.02 cm, AD{sub 2} = 0.91–2.08 cm, and AD{sub 3} = 0.84–1.95 cm for males. AD{sub 2}/WC ratio of non-AAA patients range was 4–15%, with only one outlier at 18%, while AD{sub max}/WC ratio of AAA patients range was 15–35% (p < 0.001). ADs were significantly correlated with WC (r = 0.253, p < 0.001 for AD{sub 1}, r = 0.318, p < 0.001 for AD{sub 2} and r = 0.280, p < 0.001 for AD{sub 3}). Conclusion: The definition of normal AD should consider body build. An AD{sub 2}/WC ratio of 15% may be regarded as a threshold to differentiate AAA- from non-AAA patients. Patients with AD{sub 2}/WC values comprised between 12% and 15% may be at risk for AAA.

  16. Suggestions for the New Social Entrepreneurship Initiative: Focus on Building a Body of Research-Proven Programs, Shown to Produce Major Gains in Education, Poverty Reduction, Crime Prevention, and Other Areas

    Science.gov (United States)

    Coalition for Evidence-Based Policy, 2009

    2009-01-01

    This paper outlines a possible approach to implementing the Social Entrepreneurship initiative, focused on building a body of research-proven program models/strategies, and scaling them up, so as to produce major progress in education, poverty reduction, crime prevention, and other areas. The paper summarizes the rationale for this approach, then…

  17. Soldier use of dietary supplements, including protein and body building supplements, in a combat zone is different than use in garrison.

    Science.gov (United States)

    Austin, Krista G; McLellan, Tom M; Farina, Emily K; McGraw, Susan M; Lieberman, Harris R

    2016-01-01

    United States Army personnel in garrison who are not deployed to combat theater report using dietary supplements (DSs) to promote health, increase physical and mental strength, and improve energy levels. Given the substantial physical and cognitive demands of combat, DS use may increase during deployment. This study compared DS use by garrison soldiers with DS use by personnel deployed to a combat theater in Afghanistan. Prevalence and patterns of DS use, demographic factors, and health behaviors were assessed by survey (deployed n = 221; garrison n = 1001). Eighty-two percent of deployed and 74% of garrison soldiers used DSs ≥ 1 time·week(-1). Logistic regression analyses, adjusted for significant demographic and health predictors of DS use, showed deployed personnel were more likely than garrison soldiers to use protein, amino acids, and combination products. Deployed females were more likely to use protein supplements and deployed males were more likely to use multivitamins, combination products, protein, and body building supplements than garrison respondents. Significantly more deployed (17%) than garrison (10%) personnel spent more than $50∙month(-1) on DSs. Higher protein supplement use among deployed personnel was associated with higher frequency of strength training and lower amounts of aerobic exercise for males but similar amounts of strength training and aerobic exercise for females. Protein supplements and combination products are used more frequently by deployed than garrison soldiers with the intent of enhancing strength and energy.

  18. Posterior Probability Modeling and Image Classification for Archaeological Site Prospection: Building a Survey Efficacy Model for Identifying Neolithic Felsite Workshops in the Shetland Islands

    Directory of Open Access Journals (Sweden)

    William P. Megarry

    2016-06-01

    Full Text Available The application of custom classification techniques and posterior probability modeling (PPM using Worldview-2 multispectral imagery to archaeological field survey is presented in this paper. Research is focused on the identification of Neolithic felsite stone tool workshops in the North Mavine region of the Shetland Islands in Northern Scotland. Sample data from known workshops surveyed using differential GPS are used alongside known non-sites to train a linear discriminant analysis (LDA classifier based on a combination of datasets including Worldview-2 bands, band difference ratios (BDR and topographical derivatives. Principal components analysis is further used to test and reduce dimensionality caused by redundant datasets. Probability models were generated by LDA using principal components and tested with sites identified through geological field survey. Testing shows the prospective ability of this technique and significance between 0.05 and 0.01, and gain statistics between 0.90 and 0.94, higher than those obtained using maximum likelihood and random forest classifiers. Results suggest that this approach is best suited to relatively homogenous site types, and performs better with correlated data sources. Finally, by combining posterior probability models and least-cost analysis, a survey least-cost efficacy model is generated showing the utility of such approaches to archaeological field survey.

  19. Incremental Learning of Medical Data for Multi-Step Patient Health Classification

    DEFF Research Database (Denmark)

    Kranen, Philipp; Müller, Emmanuel; Assent, Ira

    2010-01-01

    of textile sensors, body sensors and preprocessing techniques as well as the integration and merging of sensor data in electronic health record systems. Emergency detection on multiple levels will show the benefits of multi-step classification and further enhance the scalability of emergency detection......In this chapter we presented major challenges derived out of next generation mobile health surveillance. For the emergency detection task we highlighted semi-automated classification as ongoing research in this field. We showed how novel index-based classifiers build the core for multivariate multi......-step classification in health surveillance. By supporting anytime learning and anytime classification the presented Bayes tree technique can handle huge amounts of data, which makes it a consistent solution for the described medical scenario. Moreover, as we laid out in this chapter, the Bayes tree fulfills all...

  20. Classification of nanopolymers

    Energy Technology Data Exchange (ETDEWEB)

    Larena, A; Tur, A [Department of Chemical Industrial Engineering and Environment, Universidad Politecnica de Madrid, E.T.S. Ingenieros Industriales, C/ Jose Gutierrez Abascal, Madrid (Spain); Baranauskas, V [Faculdade de Engenharia Eletrica e Computacao, Departamento de Semicondutores, Instrumentos e Fotonica, Universidade Estadual de Campinas, UNICAMP, Av. Albert Einstein N.400, 13 083-852 Campinas SP Brasil (Brazil)], E-mail: alarena@etsii.upm.es

    2008-03-15

    Nanopolymers with different structures, shapes, and functional forms have recently been prepared using several techniques. Nanopolymers are the most promising basic building blocks for mounting complex and simple hierarchical nanosystems. The applications of nanopolymers are extremely broad and polymer-based nanotechnologies are fast emerging. We propose a nanopolymer classification scheme based on self-assembled structures, non self-assembled structures, and on the number of dimensions in the nanometer range (nD)

  1. 高校党课分级选修体系构建研究%Party class classification elective system building research

    Institute of Scientific and Technical Information of China (English)

    杨笑卉

    2015-01-01

    高校党课教育一直以来不能起到很好的教育效果,在于“齐步走”“一锅出”的教育模式,以指导思想鲜明、分层区别对待和突出实践教育为基本原则,以PDCA循环和分级教育为创建模型,建立积极分子教育、发展对象教育、党员教育三层选修体系,为创新高校党课开展拓宽的思路。%College party class education has always been not have very good education effect, is to "get going" "one pot" education mode, with a clear guiding ideology, layered differently and highlight the practice education as the basic principle, PDCA cycle and classifying education, for creating a model, build positive education, education development object, the party members' education three layers of elective system, widen the thinking of party class in colleges for innovation.

  2. Hierarchical Matching Kernel for Buildings Classification in Remote Sensing Images%用于遥感图像建筑物目标分类的层次匹配核

    Institute of Scientific and Technical Information of China (English)

    田昊; 李国辉; 廉蔺; 贾立

    2011-01-01

    This paper proposes a kernel function - hierarchical log-polar matching kernel which making use of the feature spatial information for building classification in remote sensing images. It extracts image local features, uses traditional clustering methods to quantize all feature vectors into several different types, and then partitions the image into multi-level increasingly fine log-polar "sub-regions (bins)". By computing histograms of local features found inside each sub-region in each level, the weighted multi-scale histograms are formulated. By summing all weighted multi-level histograms of each feature vector, the final hierarchical log-polar kernel is established. The building classification is done with a support vector machine (SVM) trained by using the "one-versus-all" rule. The experimental results on Caltech-256 database and real remote sensing images demonstrate the efficiency and effectiveness of the proposed kernel.%提出了一种利用图像特征空间信息的核函数——层次对数极坐标匹配核,用于遥感图像建筑物目标的分类。对图像进行特征提取,并将特征映射到已聚类好的“码本”中,量化为有限个类别。将图像由粗到细划分为多个层次的对数极坐标系下的“子区域(单元格)”。比对落入同一层次、同一“子区域(单元格)”的每类特征的直方图交集,建立加权的多尺度直方图,将多个特征多尺度直方图合并,得到最终的核函数,并利用“一对多”的支持向量机(support vector machine,SVM)完成建筑物的分类。对标准数据库Caltech-256和自建遥感图像数据集进行实验,结果证明了该核函数的有效性。

  3. [Multifaceted body. 2. The lived body].

    Science.gov (United States)

    Wykretowicz, H; Saraga, M; Bourquin, C; Stiefel, F

    2015-02-11

    The human body is the object upon which medicine is acting, but also lived reality, image, symbol, representation and the object of elaboration and theory. All these elements which constitute the body influence the way medicine is treating it. In this series of three articles, we address the human body from various perspectives: medical (1), phenomenological (2), psychosomatic and socio-anthropological (3). This second article distinguishes between the body as an object of knowledge or representation and the way the body is lived. This distinction which originates in phenomenological psychiatry aims to understand how the patient experiences his body and to surpass the classical somatic and psychiatric classifications.

  4. Parents' Assessments of Disability in Their Children Using World Health Organization International Classification of Functioning, Disability and Health, Child and Youth Version Joined Body Functions and Activity Codes Related to Everyday Life

    DEFF Research Database (Denmark)

    Illum, Niels Ove; Gradel, Kim Oren

    2017-01-01

    AIM: To help parents assess disability in their own children using World Health Organization (WHO) International Classification of Functioning, Disability and Health, Child and Youth Version (ICF-CY) code qualifier scoring and to assess the validity and reliability of the data sets obtained. METHOD......: Parents of 162 children with spina bifida, spinal muscular atrophy, muscular disorders, cerebral palsy, visual impairment, hearing impairment, mental disability, or disability following brain tumours performed scoring for 26 body functions qualifiers (b codes) and activities and participation qualifiers...... of 1.01 and 1.00. The mean corresponding outfit MNSQ was 1.05 and 1.01. The ICF-CY code τ thresholds and category measures were continuous when assessed and reassessed by parents. Participating children had a mean of 56 codes scores (range: 26-130) before and a mean of 55.9 scores (range: 25-125) after...

  5. Classifications for cesarean section: a systematic review.

    Directory of Open Access Journals (Sweden)

    Maria Regina Torloni

    Full Text Available BACKGROUND: Rising cesarean section (CS rates are a major public health concern and cause worldwide debates. To propose and implement effective measures to reduce or increase CS rates where necessary requires an appropriate classification. Despite several existing CS classifications, there has not yet been a systematic review of these. This study aimed to 1 identify the main CS classifications used worldwide, 2 analyze advantages and deficiencies of each system. METHODS AND FINDINGS: Three electronic databases were searched for classifications published 1968-2008. Two reviewers independently assessed classifications using a form created based on items rated as important by international experts. Seven domains (ease, clarity, mutually exclusive categories, totally inclusive classification, prospective identification of categories, reproducibility, implementability were assessed and graded. Classifications were tested in 12 hypothetical clinical case-scenarios. From a total of 2948 citations, 60 were selected for full-text evaluation and 27 classifications identified. Indications classifications present important limitations and their overall score ranged from 2-9 (maximum grade =14. Degree of urgency classifications also had several drawbacks (overall scores 6-9. Woman-based classifications performed best (scores 5-14. Other types of classifications require data not routinely collected and may not be relevant in all settings (scores 3-8. CONCLUSIONS: This review and critical appraisal of CS classifications is a methodologically sound contribution to establish the basis for the appropriate monitoring and rational use of CS. Results suggest that women-based classifications in general, and Robson's classification, in particular, would be in the best position to fulfill current international and local needs and that efforts to develop an internationally applicable CS classification would be most appropriately placed in building upon this

  6. 青年男性中医体质分类与生殖健康的相关性研究%The correlation study on TCM body constitution classification and the reproductive system diseases in young man

    Institute of Scientific and Technical Information of China (English)

    吉保民; 胡海翔; 罗少波

    2011-01-01

    目的 研究青年男性中医体质辨证分类与生殖健康的相关性。方法 对749例调查对象通过填写“男性体质调查表”,结合查体进行体质辨证,以期了解男性体质类型的构成及其与生殖健康的关系。结果 接受调查者年龄在18~35岁。包皮过长者中,气郁质、瘀血质明显多于平和质(P<0.01);前列腺炎患者中,湿热质、气郁质明显多于平和质(P<0.01);精索静脉曲张患者中,气虚质、瘀血质多于平和质(P<0.01);包茎患者中,阳虚质明显多于平和质(P<0.01);早泄患者中,气虚质、阴虚质、特禀质明显多于平和质(P<0.01);勃起功能障碍患者中,阴虚质、特禀质明显多于平和质(P<0.01);不育症患者中,阳虚质、阴虚质、瘀血质明显多于平和质(P<0.01)。结论 青年男性中医体质辨证类型与生殖系统健康状况有一定相关性。%Objective To study the correlation between the body constitution classifications of traditional Chinese medicine (TCM)and the reproductive system diseases in young man. Methods All 749 objects took physical examination about the reproductive system diseases, filled in the questionnaire of male body constitution, and differentiated TCM classifications of body constitution. Results The incidence rate of redundant prepuce of depressed vital energy constitution and stagnant blood constitution was obviously higher than balance constitution (P<0.01) , the incidence rate of prostatitis of dampness-heat constitution and depressed vital energy constitution was obviously higher than balance constitution (P<0.01), the incidence rate of varicocele of Qi asthonia constitution and stagnant blood constitution was obviously higher than balance constitution(P<0.01), the incidence rate of phimosis of Yang deficiency constitution was obviously higher than balance constitution (P<0.01) , the incidence rote of prospermia of Qi asthenia constitution

  7. Innovative Danish Building Envelope Components for Passive Houses

    DEFF Research Database (Denmark)

    Tommerup, Henrik M.; Svendsen, Svend

    2006-01-01

    tighter energy performance requirements in 2006 and a new classification system, where buildings can be classi¬fied as being a “Low energy building class 1 or 2”. These new requirements are based on the EU-directive on Energy Performance of Buildings, EPBD (2002/91/EC). The new classification system...

  8. Classification in Medical Imaging

    DEFF Research Database (Denmark)

    Chen, Chen

    Classification is extensively used in the context of medical image analysis for the purpose of diagnosis or prognosis. In order to classify image content correctly, one needs to extract efficient features with discriminative properties and build classifiers based on these features. In addition...... to segment breast tissue and pectoral muscle area from the background in mammogram. The second focus is the choices of metric and its influence to the feasibility of a classifier, especially on k-nearest neighbors (k-NN) algorithm, with medical applications on breast cancer prediction and calcification...

  9. A Data Mining Approach to the Diagnosis of Tuberculosis by Cascading Clustering and Classification

    CERN Document Server

    T, Asha; Murthy, K N B

    2011-01-01

    In this paper, a methodology for the automated detection and classification of Tuberculosis(TB) is presented. Tuberculosis is a disease caused by mycobacterium which spreads through the air and attacks low immune bodies easily. Our methodology is based on clustering and classification that classifies TB into two categories, Pulmonary Tuberculosis(PTB) and retroviral PTB(RPTB) that is those with Human Immunodeficiency Virus (HIV) infection. Initially K-means clustering is used to group the TB data into two clusters and assigns classes to clusters. Subsequently multiple different classification algorithms are trained on the result set to build the final classifier model based on K-fold cross validation method. This methodology is evaluated using 700 raw TB data obtained from a city hospital. The best obtained accuracy was 98.7% from support vector machine (SVM) compared to other classifiers. The proposed approach helps doctors in their diagnosis decisions and also in their treatment planning procedures for diff...

  10. Tissue Classification

    DEFF Research Database (Denmark)

    Van Leemput, Koen; Puonti, Oula

    2015-01-01

    Computational methods for automatically segmenting magnetic resonance images of the brain have seen tremendous advances in recent years. So-called tissue classification techniques, aimed at extracting the three main brain tissue classes (white matter, gray matter, and cerebrospinal fluid), are now...... well established. In their simplest form, these methods classify voxels independently based on their intensity alone, although much more sophisticated models are typically used in practice. This article aims to give an overview of often-used computational techniques for brain tissue classification...

  11. Differences in Body Build and Physical Fitness of PE Students from the Faculty of Physical Education and Sport in Biała Podlaska in the Years 1989, 2004, and 2014

    Directory of Open Access Journals (Sweden)

    Saczuk Jerzy

    2016-12-01

    Full Text Available Introduction. In the current situation of the demographic decline and simultaneous tough competition on the educational market, the issues of not only teaching levels but also the competences and aptitudes of students themselves are raised more and more often. Therefore, this study sought to analyse differences in the body build and physical fitness of physical education (PE students from the Faculty of Physical Education and Sport in Biała Podlaska in the years 1989, 2004, and 2014. Material and methods. The material included the results of the anthropometric measurements and physical fitness tests of second-year students examined in 1989 (n = 111, 2004 (n = 181, and 2014 (n = 127. Martin and Saller’s technique was employed to measure anthropometric features necessary to establish body build types using the Heath-Carter method. Physical fitness was evaluated with the International Physical Fitness Test. Sample size (n, arithmetic mean (x̅, standard deviation (SD, and the T point scale were applied to assess the collected variables. Differences in the sizes of the analysed features between the groups were estimated with the use of ANOVA and the Newman-Keuls test. Results. The analysis revealed a constant increase in basic somatic features and endomorphy and a decrease in mesomorphy and physical fitness in male subjects. The ectomorphy of students examined in 2014 was at a level similar to that recorded in 1989. The pace of the described changes was different depending on the study period. Conclusions. Secular trends in body build and physical fitness observed in the study may stem from deterioration in the biological potential of youths or may result from lowering physical education entrance exam criteria at the university.

  12. Transporter Classification Database (TCDB)

    Data.gov (United States)

    U.S. Department of Health & Human Services — The Transporter Classification Database details a comprehensive classification system for membrane transport proteins known as the Transporter Classification (TC)...

  13. Dynamic Human Body Modeling Using a Single RGB Camera

    Directory of Open Access Journals (Sweden)

    Haiyu Zhu

    2016-03-01

    Full Text Available In this paper, we present a novel automatic pipeline to build personalized parametric models of dynamic people using a single RGB camera. Compared to previous approaches that use monocular RGB images, our system can model a 3D human body automatically and incrementally, taking advantage of human motion. Based on coarse 2D and 3D poses estimated from image sequences, we first perform a kinematic classification of human body parts to refine the poses and obtain reconstructed body parts. Next, a personalized parametric human model is generated by driving a general template to fit the body parts and calculating the non-rigid deformation. Experimental results show that our shape estimation method achieves comparable accuracy with reconstructed models using depth cameras, yet requires neither user interaction nor any dedicated devices, leading to the feasibility of using this method on widely available smart phones.

  14. Dynamic Human Body Modeling Using a Single RGB Camera.

    Science.gov (United States)

    Zhu, Haiyu; Yu, Yao; Zhou, Yu; Du, Sidan

    2016-03-18

    In this paper, we present a novel automatic pipeline to build personalized parametric models of dynamic people using a single RGB camera. Compared to previous approaches that use monocular RGB images, our system can model a 3D human body automatically and incrementally, taking advantage of human motion. Based on coarse 2D and 3D poses estimated from image sequences, we first perform a kinematic classification of human body parts to refine the poses and obtain reconstructed body parts. Next, a personalized parametric human model is generated by driving a general template to fit the body parts and calculating the non-rigid deformation. Experimental results show that our shape estimation method achieves comparable accuracy with reconstructed models using depth cameras, yet requires neither user interaction nor any dedicated devices, leading to the feasibility of using this method on widely available smart phones.

  15. Xenolog classification.

    Science.gov (United States)

    Darby, Charlotte A; Stolzer, Maureen; Ropp, Patrick J; Barker, Daniel; Durand, Dannie

    2017-03-01

    Orthology analysis is a fundamental tool in comparative genomics. Sophisticated methods have been developed to distinguish between orthologs and paralogs and to classify paralogs into subtypes depending on the duplication mechanism and timing, relative to speciation. However, no comparable framework exists for xenologs: gene pairs whose history, since their divergence, includes a horizontal transfer. Further, the diversity of gene pairs that meet this broad definition calls for classification of xenologs with similar properties into subtypes. We present a xenolog classification that uses phylogenetic reconciliation to assign each pair of genes to a class based on the event responsible for their divergence and the historical association between genes and species. Our classes distinguish between genes related through transfer alone and genes related through duplication and transfer. Further, they separate closely-related genes in distantly-related species from distantly-related genes in closely-related species. We present formal rules that assign gene pairs to specific xenolog classes, given a reconciled gene tree with an arbitrary number of duplications and transfers. These xenology classification rules have been implemented in software and tested on a collection of ∼13 000 prokaryotic gene families. In addition, we present a case study demonstrating the connection between xenolog classification and gene function prediction. The xenolog classification rules have been implemented in N otung 2.9, a freely available phylogenetic reconciliation software package. http://www.cs.cmu.edu/~durand/Notung . Gene trees are available at http://dx.doi.org/10.7488/ds/1503 . durand@cmu.edu. Supplementary data are available at Bioinformatics online.

  16. 基于ANSYS和GeoStudio耦合的充填体底板稳定性分级%Stability classification of filling body ’s base plate based on ANSYS and GeoStudio coupling

    Institute of Scientific and Technical Information of China (English)

    林国洪

    2014-01-01

    Cracks of different widths and depths are observed in the cemented backfill roof in Wushan Copper Mine resulted from gravity stress and blasting vibration. The stability of backfill is affected when the cracks reach a point. This paper uses ANSYS software and GeoStudio2007 SIGMA/W module to simulate the stress-strain in the roof fissure filling body. The stability classification of filling body's base plate is studied based on ANSYS and GeoStudio coupling. Corresponding suggestions are put forward according to different stability statuses.%武山铜矿胶结充填体顶板在自重应力、爆破振动等作用下产生的不同宽度和深度的裂隙,当裂隙达到一定规模时将影响充填体的稳定性,文中采用ANSYS软件和GeoStudio2007的SIGMA/W模块来模拟含裂隙充填体顶板的应力应变情况,通过2个数值模拟软件的模拟结果的对比验证,研究含裂隙条件下的充填体稳定性,对充填体顶板在不同深度、宽度裂隙影响下的稳定性进行了分级并针对含裂隙顶板的不同稳定性状态提出了合理的支护建议。

  17. Building Materials

    Institute of Scientific and Technical Information of China (English)

    2008-01-01

    @@ Building Materials Sub-council of CCPIT is the other sub-council in construction field. CCPIT Building Materials Sub-council (CCPITBM), as well as CCOIC Build-ing Materials Chamber of Commerce, is au-thorized by CCPIT and state administration of building materials industry in 1992. CCPITBM is a sub-organization of CCPIT and CCOIC.

  18. 健身运动处方教学对大学生课外体育锻炼的影响%Analysis of Influence of Body-Building Prescription Teachingon the Extracurricular Exercise of College Students

    Institute of Scientific and Technical Information of China (English)

    胡用岗; 戴朝

    2012-01-01

    通过在高校健身锻炼方法与训练教学中应用运动处方教学研究,文章探讨健身运动处方教学对大学生课外体育锻炼的影响。结果表明:运动处方教学对大学生体育锻炼意识的形成有重要的影响,能更好地促进大学生参与课外体育锻炼。%Based on the study of the application of prescription teaching to body-building and training in colleges,this paper discusses the influence of body-building prescription teaching on the extracurricular exercise of college students.The results indicates that prescription teaching plays a significant role in the formation of physical exercise consciousness of college students and it can better promote college students to participate in the extracurricular exercise.

  19. 实施体育健身方案影响大学生体育锻炼态度的实证研究%Effect of Sports Body -building Scheme Implementation on College Student's Physical Exercise Attitude

    Institute of Scientific and Technical Information of China (English)

    王建洲

    2012-01-01

    选取50名大学生实施体育健身方案,考察体育健身方案的实施对大学生体育锻炼态度的影响。结果表明,体育健身方案的实施能有效提高大学生的体育锻炼态度,进而影响其参与锻炼的行为;不同性别的大学生体育锻炼态度具有一定的差异,主要表现在行为习惯和主观标准两个维度;体育健身方案的实施对不同性别大学生体育锻炼态度的影响具有差异性。%Selecting 50 college students for sports body - building scheme implementation in order to investigate its influence on college student's physical exercise attitude. The result shows that the sports bodybuilding scheme implementation can effectively improve student' s physical exercise attitude, influence their behavior of participation exercise. The college students of different gender have certain difference on physical exercise attitude, mainly displays in habit and subjective criteria. The effect of implementation of sports body - building scheme on college students with different gender has difference.

  20. A Concise Introduction to Body-building Practices of Pengzu for Health & Longevity and Their Effects%简明彭祖养生长寿健身术及其功效解析

    Institute of Scientific and Technical Information of China (English)

    王志平

    2014-01-01

    彭祖的养生长寿术虽然不会像先秦文献记载那样简单,但也不可能像后世不断增益、渲染的那样繁冗与玄虚。行之有效的彭祖养生术,应该是主旨集中明确,符合中华民族传统养生理念,形式简洁明了,便于操作,效果显著。汉代以前一直推重吐纳导引和行气。《简明彭祖养生导引术》根据原始文献所提供的线索,试图正本清源,尽可能地体现彭祖长寿养生术通过吐故纳新,促进新陈代谢;平衡阴阳,调理脏腑气血;适度运动肢体、关节、肌肉、韧带,增强生命活力,进而延缓机体衰老速度而延年益寿的精髓与关键。因而是合理并符合科学精神的。本文运用文献检索法和科学提炼法梳理了《简明彭祖养生导引术》的来龙去脉,阐释了其养生机理。%Body-building practices for health and longevity of Pengzu are neither as simple as what has been described in pre-Qin dy-nasties nor as complicated and mysterious as what post-generations have boasted of. Actually effective body-building practices for health and longevity of Pengzu ought to be clear and concise and in line with traditional body-building values and operational. Deep breathing and promoting qi flow by respiration was extremely popular before Han dynasty. Based on the original documents and records, Concise Bodybuilding Practices for Health & Longevity of Pengzu promotes the process of metabolism by such strengthening exercises as deep breathing and promoting qi flow to bring in the new and healthy and get rid of the old and unhealthy, and nurse the organs and blood by balancing Yin and Yang, and enhance vitality by moderately exercising limbs, joints, muscles and ligament. Therefore, the aging process will be slowed down and a healthy life will be extended. Body-building practices for health and longevity of Pengzu are reasonable and scientific. The paper traces back their origin and elaborates on the

  1. Basis of Criminalistic Classification of a Person in Republic Kazakhstan and Republic Mongolia

    Science.gov (United States)

    Abdilov, Kanat S.; Zusbaev, Baurzan T.; Naurysbaev, Erlan A.; Nukiev, Berik A.; Nurkina, Zanar B.; Myrzahanov, Erlan N.; Urazalin, Galym T.

    2016-01-01

    In this article reviewed problems of the criminalistic classification building of a person. In the work were used legal formal, logical, comparative legal methods. The author describes classification kinds. Reveal the meaning of classification in criminalistic systematics. Shows types of grounds of criminalistic classification of a person.…

  2. Research of building Chinese musical emotional lexicon and emotional classification%中文音乐情感词典构建及情感分类方法研究

    Institute of Scientific and Technical Information of China (English)

    蒋盛益; 阳垚; 廖静欣

    2014-01-01

    Among all the applications for China Internet users, instant message has first-largest users, search engine has the second-largest users and the web music has the third-largest users. Web music and its application technology have been popular with academics. Music plays an important role as a communication media in human communication which carries abundant information of emotion. As a result, musical emotion analysis has been paid more attention. During the process of musical emotion analysis which is based on lyric texts, a reasonable musical semantic lexicon will provide a more accu-rate result. This paper is about how to build a Chinese musical emotional lexicon which is based on the improved model of Hevner emotional ring model and the semantic knowledge resources provided by HowNet and a text corpus of lyrics. Also it realizes a method of lyric emotional classification with the help of emotional VSM, emotional lexicon and lyrics speed. The experiments show that the Chinese emotional lexicon built here is more suitable in the area of music than the lexicon built by manual.%作为仅次于及时通信和搜索引擎的中国互联网网民第三大应用,网络音乐及其应用技术受到业界学者的青睐。音乐作为人类最重要的交流媒介,携带着丰富的情感信息,计算机音乐情感分析更是得到人机情感交互技术领域的高度重视。在基于歌词文本的音乐情感分析过程中,一部合理的音乐领域情感词典,将提供更加细致、更加准确的分析结果。以改进后的Hevner情感环模型为基础,借助HowNet所提供的语义资源和从网络爬取的歌词文本语料库,构建了一部树形层次结构的音乐领域中文情感词典,并利用LRC歌词携带的时间标签获取歌曲的语速信息,实现了基于情感向量空间模型和情感词典的歌词情感分类。实验表明与人工构建的情感词典相比,所构建的情感词典更适用于音乐领域。

  3. Cluster networks and Bruhat-Tits buildings

    Science.gov (United States)

    Kozyrev, S. V.

    2014-08-01

    We consider a clustering procedure in the case where a family of metrics is used instead of a fixed metric. In this case, a classification network (a directed acyclic graph with nondirected cycles) is obtained instead of a classification tree. We discuss the relation to Bruhat-Tits buildings and introduce the notion of the dimension of a general cluster network.

  4. Body Build and the Level of Development of Muscle Strength Among Male Jiu-Jitsu Competitors and Strength-Trained Adults

    Directory of Open Access Journals (Sweden)

    Pietraszewska Jadwiga

    2014-09-01

    Full Text Available Purpose. The aim of the present study was to assess the morpho-functional characteristics of male jiu-jitsu practitioners against a sample of strength-trained university students. Methods. The all-male research sample included 49 jiu-jitsu competitors and 30 university students actively involved in strength training. Measures of body mass and height, lower extremity length, sitting height, arm span, trunk width, skeletal breadths, circumferences and skinfold thicknesses of the trunk and extremities were collected. Body tissue composition was assessed using bioelectrical impedance analysis. Somatotype was classified according to the anthropometric method of Heath and Carter. Participants also performed three motor tests composed of the standing long jump, flexed arm hang, and sit-ups and two dynamometer tests measuring handgrip and back muscle strength. Differences between the measured characteristics in both samples were analyzed using Student’s t test. Pearson’s correlation coefficient was used to the determine the relationships between the morphological characteristics and the results of the motor tests. Results. The jiu-jitsu sample was slightly smaller than the strength-training students. In contrast, body mass was almost identical in both groups. The remaining length, height, and skinfold characteristics also did not differ significantly between the groups. Only hip breadth was significantly larger in the jiu-jitsu sample. No between-group differences were noted in the levels of endomorphy, mesomorphy, and ectomorphy. The composite somatotype of the jiu-jitsu athletes (2.1-5.8-2.0 was very similar to that of the strength-trained students (2.1-5.9-2.4. Statistically significant differences were observed in the tests assessing muscle strength. Handgrip and back muscle strength was greater in the strength-training students, whereas the jiu-jitsu athletes performed better in all three motor tests. Conclusions. The minor morphological

  5. 高层建筑中巨型连体钢结构整体提升施工技术%Integral Lifting Technology of Giant Connecting-body Steel Structure in Tall Building

    Institute of Scientific and Technical Information of China (English)

    商文升; 王东宇; 郭亮; 党毅章

    2012-01-01

    连体钢结构的安装通常位于高空,下方完全悬空,具有自重大、跨度大等结构特点,因此施工条件受到限制.中国联通科研中心办公楼主楼结构存在4处巨型连体钢结构,施工中采用了“地面拼装,整体提升”的安装方法,总结出连体钢结构典型的整体吊装工艺,论述了该方案的施工工艺,详细的理论计算和分析为制定方案提供科学依据,保证了施工安全和质量.%The installation of connecting-body steel structure is always operated in high altitude without dowinside supporting. The structure has big dead weight and large span, so construction conditions are limited. There are four giant steel connecting-bodies in the main body of China Unicom Research Center Office Building. A general construction plan of ground assembly and integral lifting is established. The typical integral lifting technology of connecting-body steel structure is summed up, and the construction techniques are described during the installation. Detailed theoretical calculation and analysis provides a scientific basis and theoretical support for establishing the lifting program to ensure safety and quality.

  6. 世界健美操锦标赛集体六人操队形运用及变化分析%The Analysis of Using and Change of Six Peeple Formation in World Body-building Exercise Championship

    Institute of Scientific and Technical Information of China (English)

    贺改芹

    2012-01-01

    Through methods and so on literature material,video recording statistics,to the near three sessions(2006,2008,in 2010 eighth,nine,ten sessions) the world body-building exercises championship tournament collective six people formation the first 6 participating team 18 sets of movements the formation utilization and the change was made by the statistical analysis.The result indicated that,At present formation change quantity goes far beyond in the world body-building exercises collective project competition about the rule stipulation 16 times;The formation variation rate has by the session speeds up the tendency;formation change type mainly by regular formation(rectiunear figure,slanting linear,triangle) primarily.%通过文献资料、录像统计等方法,对近三届(2006、2008、2010年第八、九、十届)世界健美操锦标赛集体六人操前6名参赛队18套动作的队形变化数量、队形变化速度、队形变化类型的运用和变化进行统计分析。结果表明:目前在世界健美操集体项目比赛中队形变化数量远远超过规则规定数量;队形变化速度有逐届加快趋势;队形变化类型主要以规则队形(直线形、斜线形、三角形)为主。

  7. Classification in context

    DEFF Research Database (Denmark)

    Mai, Jens Erik

    2004-01-01

    This paper surveys classification research literature, discusses various classification theories, and shows that the focus has traditionally been on establishing a scientific foundation for classification research. This paper argues that a shift has taken place, and suggests that contemporary...... classification research focus on contextual information as the guide for the design and construction of classification schemes....

  8. Classification in Australia.

    Science.gov (United States)

    McKinlay, John

    Despite some inroads by the Library of Congress Classification and short-lived experimentation with Universal Decimal Classification and Bliss Classification, Dewey Decimal Classification, with its ability in recent editions to be hospitable to local needs, remains the most widely used classification system in Australia. Although supplemented at…

  9. Influence of solar radiation absorbed by the human body on the thermal sensation of building occupants; Einfluss der vom menschlichen Koerper absorbierten Solarstrahlung fuer das Waermeempfinden in Gebaeuden

    Energy Technology Data Exchange (ETDEWEB)

    Otto, Frank [Zentrum fuer Umweltbewusstes Bauen e. V. (ZUB), Verein an der Universitaet Kassel (Germany)

    2009-02-15

    One of the key aspects of sustainable building is the well-being of occupants, which is greatly influenced by indoor climate conditions. Thermal comfort is a vital ingredient of satisfaction with people's surroundings. It is to be expected that solar radiation will have a favourable influence on indoor social areas particularly in the winter months when radiation is predominantly diffuse. In contrast, direct exposure to sunshine in summer or on very sunny days in winter can quickly make people feel uncomfortable near windows and this must be counteracted by appropriate measures to protect them from the sun. The significance of solar radiation for the thermal sensation is illustrated on the basis of a further development of Fanger's approach by means of simulations. The main results are summarised in this article. (Abstract Copyright [2009], Wiley Periodicals, Inc.) [German] Das nachhaltige Bauen hat u. a. das Wohlbefinden des Menschen im Blick, das wesentlich vom Raumklima beeinflusst wird. Von zentraler Bedeutung fuer ein hohes Mass an Zufriedenheit mit der Umgebung ist thermische Behaglichkeit. Es ist zu erwarten, dass die Solarstrahlung vor allen Dingen in den Wintermonaten aufgrund der dominierenden diffusen Strahlung einen guenstigen Einfluss auf Aufenthaltsraeume hat. Hingegen kann eine direkte Besonnung im Sommer oder an strahlungsreichen Wintertagen in Fensternaehe schnell zu unbehaglichen Zustaenden fuehren, denen durch entsprechende Sonnenschutzmassnahmen entgegengewirkt werden muss. Die Bedeutung der Solarstrahlung fuer das Waermeempfinden wird auf der Grundlage einer Weiterentwicklung des Fanger schen Ansatzes anhand von Simulationsrechnungen aufgezeigt. Im Beitrag werden die wesentlichen Ergebnisse zusammengefasst (copyright 2009 WILEY-VCH Verlag GmbH and Co. KGaA, Weinheim) (Abstract Copyright [2009], Wiley Periodicals, Inc.)

  10. Numerical tests on the fire escape optimal path of body building%楼体火灾逃生最优路径数值试验研究

    Institute of Scientific and Technical Information of China (English)

    李铁; 王宁; 朱琳

    2015-01-01

    为探索人员密集的大型公建火灾科学逃生机理,选择“L”形写字楼标准楼层为例,采用 CFD 计算软件 FLUENT,设定了四种逃生出口开启条件,开展数值仿真试验研究,通过分析发现:不同逃生出口条件会导致逃生路径适宜程度有较大差异;高温和烟气聚集区位置出现在风阻最小的走廊一侧,沿壁逃生可能加重伤害;最短的逃生路径不一定是最优的逃生路径;FLUENT 软件能较好地模拟相对密闭空间的火灾温度场和烟气场。%In order to explore the escape mechanism science of personnel intensive large-scale public buildings crowded fire,we chose a“L”shaped standard office floors for simulation test. In this test we have set four different conditions of export and use the CFD calculation software FLUENT,found that:the different exits conditions lead to the different of suitability degree in escape route. The high temperature and the zone of gas accumulation are appeared the floor which the windage is least,and the shortest path is not necessarily the best. Last of all,the FLUENT software proves to be useful to simulate the relatively closed space fire temperature field and secondary gas diffusion.

  11. Building calculations

    DEFF Research Database (Denmark)

    Jensen, Bjarne Christian; Hansen, Svend Ole

    Textbook on design of large panel building including rules on robustness and a method for producing the Statical documentattion......Textbook on design of large panel building including rules on robustness and a method for producing the Statical documentattion...

  12. Building America

    Energy Technology Data Exchange (ETDEWEB)

    Brad Oberg

    2010-12-31

    IBACOS researched the constructability and viability issues of using high performance windows as one component of a larger approach to building houses that achieve the Building America 70% energy savings target.

  13. Solar building

    OpenAIRE

    Zhang, Luxin

    2014-01-01

    In my thesis I describe the utilization of solar energy and solar energy with building integration. In introduction it is also mentioned how the solar building works, trying to make more people understand and accept the solar building. The thesis introduces different types of solar heat collectors. I compared the difference two operation modes of solar water heating system and created examples of solar water system selection. I also introduced other solar building applications. It is conv...

  14. Healthy Buildings?

    Science.gov (United States)

    Grubb, Deborah

    Health problems related to school buildings can be categorized in five major areas: sick-building syndrome; health-threatening building materials; environmental hazards such as radon gas and asbestos; lead poisoning; and poor indoor air quality due to smoke, chemicals, and other pollutants. This paper provides an overview of these areas,…

  15. Building envelope

    CSIR Research Space (South Africa)

    Gibberd, Jeremy T

    2009-01-01

    Full Text Available This chapter describes the way building envelopes can contribute to developing green buildings and sets out some objectives that could be aimed for. It also proposes a number of approaches that can be used to help design green building envelopes...

  16. "Chromosome": a knowledge-based system for the chromosome classification.

    Science.gov (United States)

    Ramstein, G; Bernadet, M

    1993-01-01

    Chromosome, a knowledge-based analysis system has been designed for the classification of human chromosomes. Its aim is to perform an optimal classification by driving a tool box containing the procedures of image processing, pattern recognition and classification. This paper presents the general architecture of Chromosome, based on a multiagent system generator. The image processing tool box is described from the met aphasic enhancement to the fine classification. Emphasis is then put on the knowledge base intended for the chromosome recognition. The global classification process is also presented, showing how Chromosome proceeds to classify a given chromosome. Finally, we discuss further extensions of the system for the karyotype building.

  17. INNOVATION AND INTERACTION OF BUILDING STRUCTURE AND BODY SHAPE%建筑结构与体造型的创新互动

    Institute of Scientific and Technical Information of China (English)

    刘永德; 罗梦潇

    2012-01-01

    新结构、新材料、新技术、数字信息的飞速发展,也使建筑造型有较大的跨越,正如社会所公认的,当今社会已达到“只有想不到,没有做不到的”,可以梦想成真的时代。建筑技术与建筑艺术的关系更加紧密了。对于建筑的造型,“结构艺术”与“建筑艺术”已成二元并进的局面,内在的支撑结构,外在的“表皮建筑”,相互影响,相互促进。仅从基本的结构类型与衍生的多变体的角度,论述结构与围护的互动互变,对建筑形态的创新有一定启迪作用。%With the rapid development of new structure, material, technology and digital information, much progress has been made in architectural shape. It has been recognized by the society that today' s society has reached the period in which" nothing is impossible only have to think" and the dream can come true all the time. The connection between the architecture technology and the architectural art is more inseparable. For the shape of the architecture, "structural art"and "architecture art" have been already in the same aspect. The internal support structure and the external "epidermic architecture" influence each other and promote each other. It was described interactive and the mutual change of structure and periphery only from the angle of the basic structure type and the derivative varied body, it would be expected to inspire the innovation of the architectural form..

  18. Sustainable building versus ecological building

    CSIR Research Space (South Africa)

    Van Wyk, Llewellyn V

    2010-04-01

    Full Text Available and sensitivity to a site that are required to efficiently meet the energy needs of a building and occupants with renewable energy (solar, wind, geothermal, etc), designers must apply holistic design principles and take advantage of the free, naturally... Building Handbook Volume 1 Sustainable Building versus Ecological Building Llewellyn van Wyk Principal Researcher CSIR Background and Context ?Evidence is mounting that humankind, and the environment that shapes its existence, are in the midst...

  19. AUTOMATIC EXTRACTION OF BUILDING OUTLINE FROM HIGH RESOLUTION AERIAL IMAGERY

    Directory of Open Access Journals (Sweden)

    Y. Wang

    2016-06-01

    Full Text Available In this paper, a new approach for automated extraction of building boundary from high resolution imagery is proposed. The proposed approach uses both geometric and spectral properties of a building to detect and locate buildings accurately. It consists of automatic generation of high quality point cloud from the imagery, building detection from point cloud, classification of building roof and generation of building outline. Point cloud is generated from the imagery automatically using semi-global image matching technology. Buildings are detected from the differential surface generated from the point cloud. Further classification of building roof is performed in order to generate accurate building outline. Finally classified building roof is converted into vector format. Numerous tests have been done on images in different locations and results are presented in the paper.

  20. Automatic Extraction of Building Outline from High Resolution Aerial Imagery

    Science.gov (United States)

    Wang, Yandong

    2016-06-01

    In this paper, a new approach for automated extraction of building boundary from high resolution imagery is proposed. The proposed approach uses both geometric and spectral properties of a building to detect and locate buildings accurately. It consists of automatic generation of high quality point cloud from the imagery, building detection from point cloud, classification of building roof and generation of building outline. Point cloud is generated from the imagery automatically using semi-global image matching technology. Buildings are detected from the differential surface generated from the point cloud. Further classification of building roof is performed in order to generate accurate building outline. Finally classified building roof is converted into vector format. Numerous tests have been done on images in different locations and results are presented in the paper.

  1. AUOTOMATIC CLASSIFICATION OF POINT CLOUDS EXTRACTED FROM ULTRACAM STEREO IMAGES

    OpenAIRE

    M. Modiri; Masumi, M.; A. Eftekhari

    2015-01-01

    Automatic extraction of building roofs, street and vegetation are a prerequisite for many GIS (Geographic Information System) applications, such as urban planning and 3D building reconstruction. Nowadays with advances in image processing and image matching technique by using feature base and template base image matching technique together dense point clouds are available. Point clouds classification is an important step in automatic features extraction. Therefore, in this study, the classific...

  2. Classification of the web

    DEFF Research Database (Denmark)

    Mai, Jens Erik

    2004-01-01

    This paper discusses the challenges faced by investigations into the classification of the Web and outlines inquiries that are needed to use principles for bibliographic classification to construct classifications of the Web. This paper suggests that the classification of the Web meets challenges...

  3. Visual Alphabets: Video Classification by End Users

    NARCIS (Netherlands)

    Israël, Menno; Broek, van den Egon L.; Putten, van der Peter; Uyl, den Marten J.; Petrushin, Valery A.; Khan, Latifur

    2006-01-01

    The work presented here introduces a real-time automatic scene classifier within content-based video retrieval. In our envisioned approach end users like documentalists, not image processing experts, build classifiers interactively, by simply indicating positive examples of a scene. Classification c

  4. Laboratory Building

    Energy Technology Data Exchange (ETDEWEB)

    Herrera, Joshua M. [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

    2015-03-01

    This report is an analysis of the means of egress and life safety requirements for the laboratory building. The building is located at Sandia National Laboratories (SNL) in Albuquerque, NM. The report includes a prescriptive-based analysis as well as a performance-based analysis. Following the analysis are appendices which contain maps of the laboratory building used throughout the analysis. The top of all the maps is assumed to be north.

  5. Laboratory Building.

    Energy Technology Data Exchange (ETDEWEB)

    Herrera, Joshua M. [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

    2015-03-01

    This report is an analysis of the means of egress and life safety requirements for the laboratory building. The building is located at Sandia National Laboratories (SNL) in Albuquerque, NM. The report includes a prescriptive-based analysis as well as a performance-based analysis. Following the analysis are appendices which contain maps of the laboratory building used throughout the analysis. The top of all the maps is assumed to be north.

  6. Plant Landscape Design in Special Space of Ecological Buildings

    Institute of Scientific and Technical Information of China (English)

    Guoyong; ZHANG; Xiaogang; CHEN

    2014-01-01

    This paper mainly discussed the application of plant landscape design in special space of ecological buildings. From the concept of special space of ecological buildings,it elaborated social and ecological benefits of greening projects in special space. It proposed the classification method for special space of ecological building with habitat as the major part and combined with characteristics of building form. On the basis of such classification,it discussed green design method and plant selection principle,in the hope of providing certain reference for garden designers in green design of ecological buildings.

  7. Buildings Extraction from Polarimetric SAR Image Using Improved Three-component Decomposition and Wishart Classification%利用改进三分量分解与 Wishart 分类的极化 SAR 图像建筑提取方法

    Institute of Scientific and Technical Information of China (English)

    刘修国; 姜萍; 陈启浩; 陈奇

    2015-01-01

    本文针对基于 Freeman 分解的建筑提取方法存在的问题,提出采用圆极化相关系数实现选择性去取向,同时引入广义体散射模型,构建了面向建筑提取的改进三分量分解模型,以准确分析地物的散射特性。在此基础上,发展了一种综合利用改进三分量分解与 Wishart 迭代分类算法的极化 SAR 图像建筑提取方法。使用 E‐SAR 全极化数据的试验结果表明,本文方法能够有效减少建筑与植被的误分,并提高建筑信息提取的准确性。%To address the misclassification issue on buildings extraction based on Freeman decomposition method ,a novel improved three‐component decomposition model is proposed in this paper .By combining the selective de‐orientation derived from the circular polarization correlation coefficient method with the generalized volume scattering model , it can accurately characterize the scattering characteristics of surface features .On this basis ,the complex Wishart iterative classification is introduced to develop a new method of buildings extraction .An E‐SAR L band polarimetric SAR image was used to verify the effective‐ness of this modified algorithm .The experiment result shows it could perform better in distinguishing between oblique buildings and forest ,and consequently improve the accuracy of buildings extraction .

  8. Professional Bodies Can Benefit your Career

    OpenAIRE

    Murphy, James Peter

    2009-01-01

    Membership of the major professional bodies and trade associations is crucial towards relationship building, active membership and interaction enables hospitality people to build friendships, business networks and opportunities which bring numerous benefits

  9. 对中老年人从事社区健身舞蹈的可行性分析%Feasibility Analysis for the elderly in the community body-building dance

    Institute of Scientific and Technical Information of China (English)

    杨丹丹

    2014-01-01

    本文通过对我国老龄化的现状和特点以及中老年人从事社区健身舞蹈发展状况进行了问卷调查分析,认为社区健身舞蹈可以满足中老年人的健身需求,并且可以大力发展社区体育健身,因为它不仅仅可以促进中老年人的心理、身体以及智力的健康发展,还有利于塑造他们审美意识,丰富他们的业余生活。%Based on the current situation of China's aging and the elderly in the community characteristics and development of fitness dance, I conducted a survey and think that the body-building dance can meet the health needs of elder people, and can also develop physical fitness of community, because it not only can promote mental, physical and intel ectual development of health in the elderly, but also help shape their aesthetic sense, enrich their leisure life, make them real y appreciate the significance of fitness.

  10. Martial Arts Body-building Market in Sichuan Province of Training And Development Research%四川省武术健身市场的培育与发展研究

    Institute of Scientific and Technical Information of China (English)

    李军; 田鑫; 彭覃; 潘文斌; 李煦

    2012-01-01

    Through the interview method, and literature data method, Questionnaire investigation, Comparative analysis, The public market and business martial arts up health fitness club, The analysis of the current situation of the development of the restriction of the development of the market in Sichuan martial arts fitness related factors, And put forward corresponding promote martial arts fitness market development countermeasures and Suggestions for Sichuan, Makes every effort to the development of Wushu body-building market to provide reference.%通过访谈法、文献资料法、问卷调查法、比较分析法等,研究健身性大众武术市场和经营性健身俱乐部的发展现状,分析目前制约四川省武术健身市场发展的相关因素,并针对性的提出促进武术健身市场发展的对策和建议,力求为四川武术健身市场的发展提供可借鉴的参考。

  11. Building Languages

    Science.gov (United States)

    ... Training Manually Coded English (MCE) Natural Gestures Speech Speech Reading (Lip Reading) Even though American Sign Language (ASL) is not a building block, it is sometimes used together with one or more building blocks. Close Information For... Media Policy Makers File Formats Help: How do I view ...

  12. Building Procurement

    DEFF Research Database (Denmark)

    Andersson, Niclas

    2007-01-01

    ‘The procurement of construction work is complex, and a successful outcome frequently elusive’. With this opening phrase of the book, the authors take on the challenging job of explaining the complexity of building procurement. Even though building procurement systems are, and will remain, comple...

  13. Body-building for elderby people

    Directory of Open Access Journals (Sweden)

    Tânia Rosane Bretoldo Benedetti

    2008-06-01

    Full Text Available The aim of the present study is to analyse corporal weight, cutaneous wrinkles, cardiac frequency, cholesterol, systolic and diastolic arterial pressure in two groups of different age groups by means of physical activity work with emphasis on the strength.The study has been characterized as experimental and was realized in a group of 17 individuals aged over 70 from an asylum and in another group of 22 individuals aged over 55 resident in a district, both lying in the municipality of Cruzeiro do Sul/Acre, Brazil. There was an initial collection of analysed variables and a final collection, with the exception of heart frequency and arterial pressure which were weekly verified. There was an improvement in all the analysed variables in both groups. Betterment was mainly achienid in group “A”, the oldest, age group this shows that we can work strength with these individuals with excellent results.

  14. The theory and practice of the Dewey Decimal Classification system

    CERN Document Server

    Satija, M P

    2013-01-01

    The Dewey Decimal Classification system (DDC) is the world's most popular library classification system. The 23rd edition of the DDC was published in 2011. This second edition of The Theory and Practice of the Dewey Decimal Classification System examines the history, management and technical aspects of the DDC up to its latest edition. The book places emphasis on explaining the structure and number building techniques in the DDC and reviews all aspects of subject analysis and number building by the most recent version of the DDC. A history of, and introduction to, the DDC is followed by subjec

  15. Cluster Based Text Classification Model

    DEFF Research Database (Denmark)

    2011-01-01

    We propose a cluster based classification model for suspicious email detection and other text classification tasks. The text classification tasks comprise many training examples that require a complex classification model. Using clusters for classification makes the model simpler and increases th...... datasets. Our model also outperforms A Decision Cluster Classification (ADCC) and the Decision Cluster Forest Classification (DCFC) models on the Reuters-21578 dataset....

  16. Multi-Level Audio Classification Architecture

    Directory of Open Access Journals (Sweden)

    Jozef Vavrek

    2015-01-01

    Full Text Available A multi-level classification architecture for solving binary discrimination problem is proposed in this paper. The main idea of proposed solution is derived from the fact that solving one binary discrimination problem multiple times can reduce the overall miss-classification error. We aimed our effort towards building the classification architecture employing the combination of multiple binary SVM (Support Vector Machine classifiers for solving two-class discrimination problem. Therefore, we developed a binary discrimination architecture employing the SVM classifier (BDASVM with intention to use it for classification of broadcast news (BN audio data. The fundamental element of BDASVM is the binary decision (BD algorithm that performs discrimination between each pair of acoustic classes utilizing decision function modeled by separating hyperplane. The overall classification accuracy is conditioned by finding the optimal parameters for discrimination function resulting in higher computational complexity. The final form of proposed BDASVM is created by combining four BDSVM discriminators supplemented by decision table. Experimental results show that the proposed classification architecture can decrease the overall classification error in comparison with binary decision trees SVM (BDTSVM architecture.

  17. Determining the Most Robust Dimensional Structure of Categories from the International Classification of Functioning, Disability and Health Across Subgroups of Persons With Spinal Cord Injury to Build the Basis for Future Clinical Measures

    DEFF Research Database (Denmark)

    Ballert, Carolina S; Stucki, Gerold; Biering-Sørensen, Fin

    2014-01-01

    OBJECTIVE: To determine the most robust dimensional structure of the International Classification of Functioning, Disability and Health (ICF) categories relevant to spinal cord injury (SCI) across subgroups of lesion level, health care context, sex, age, and resources of the country. DESIGN......: A multidimensional between-item response Rasch model was used. The choice of the dimensions was conceptually driven using the ICF components from the functioning chapters and splits of the activity and participation component described in the ICF. SETTING: Secondary analysis of data from an international, cross......-sectional, multicentric study for the Development of ICF Core Sets for Spinal Cord Injury. PARTICIPANTS: Persons with SCI (N=1048) from the early postacute and long-term living context from 14 middle/low- and high-resource countries. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURE: Ratings of categories of the ICF...

  18. Body Image

    Science.gov (United States)

    ... About Us Contact Us Text size | Print | Body Image Developing a positive body image and a healthy mental attitude is crucial to ... on for tips to have a healthy body image. Topics About body image When you look in ...

  19. Classification of cultivated plants.

    NARCIS (Netherlands)

    Brandenburg, W.A.

    1986-01-01

    Agricultural practice demands principles for classification, starting from the basal entity in cultivated plants: the cultivar. In establishing biosystematic relationships between wild, weedy and cultivated plants, the species concept needs re-examination. Combining of botanic classification, based

  20. Building Data

    Data.gov (United States)

    Town of Cary, North Carolina — Explore real estate information about buildings in the Town of Cary.This file is created by the Town of Cary GIS Group. It contains data from both the Wake, Chatham...

  1. Building Inclusion

    NARCIS (Netherlands)

    Jeanet Kullberg; Isik Kulu-Glasgow

    2009-01-01

    The social inclusion of immigrants and ethnic minorities is a central issue in many European countries. Governments face challenges in ensuring housing for immigrants, delivering public services, promoting neighbourhood coexistence and addressing residential segregation. The Building Inclusion proje

  2. Building energy governance in Shanghai

    Science.gov (United States)

    Kung, YiHsiu Michelle

    other rapidly growing second-tier or third-tier cities in China, and to further contribute to the general body of knowledge on Asia's urban building sustainability.

  3. Sustainable Buildings

    DEFF Research Database (Denmark)

    Tommerup, Henrik M.; Elle, Morten

    The scientific community agrees that: all countries must drastically and rapidly reduce their CO2 emissions and that energy efficient houses play a decisive role in this. The general attitude at the workshop on Sustainable Buildings was that we face large and serious climate change problems...... that need urgent action. The built environment is an obvious area to put effort into because of the large and cost-effective energy saving potential and potential for Renewable Energy-based supply systems for buildings....

  4. Fusion of Airborne Discrete-Return LiDAR and Hyperspectral Data for Land Cover Classification

    Directory of Open Access Journals (Sweden)

    Shezhou Luo

    2015-12-01

    Full Text Available Accurate land cover classification information is a critical variable for many applications. This study presents a method to classify land cover using the fusion data of airborne discrete return LiDAR (Light Detection and Ranging and CASI (Compact Airborne Spectrographic Imager hyperspectral data. Four LiDAR-derived images (DTM, DSM, nDSM, and intensity and CASI data (48 bands with 1 m spatial resolution were spatially resampled to 2, 4, 8, 10, 20 and 30 m resolutions using the nearest neighbor resampling method. These data were thereafter fused using the layer stacking and principal components analysis (PCA methods. Land cover was classified by commonly used supervised classifications in remote sensing images, i.e., the support vector machine (SVM and maximum likelihood (MLC classifiers. Each classifier was applied to four types of datasets (at seven different spatial resolutions: (1 the layer stacking fusion data; (2 the PCA fusion data; (3 the LiDAR data alone; and (4 the CASI data alone. In this study, the land cover category was classified into seven classes, i.e., buildings, road, water bodies, forests, grassland, cropland and barren land. A total of 56 classification results were produced, and the classification accuracies were assessed and compared. The results show that the classification accuracies produced from two fused datasets were higher than that of the single LiDAR and CASI data at all seven spatial resolutions. Moreover, we find that the layer stacking method produced higher overall classification accuracies than the PCA fusion method using both the SVM and MLC classifiers. The highest classification accuracy obtained (OA = 97.8%, kappa = 0.964 using the SVM classifier on the layer stacking fusion data at 1 m spatial resolution. Compared with the best classification results of the CASI and LiDAR data alone, the overall classification accuracies improved by 9.1% and 19.6%, respectively. Our findings also demonstrated that the

  5. 健身关节操对男生关节活动度影响的实验研究%An Experimental Research on the Influence of the Body-building Joint Exercises on the Flexibility of Boy Students

    Institute of Scientific and Technical Information of China (English)

    李晓兰

    2011-01-01

    The object of this study is the students of grade 2 in the department of physical education of Yan'an University. Through this study method, it determinated the flexible quality target and other physical target of the students who do the joint exercise, analyzed the mechanization of the joint exercise and the effect of exercise, in order to provide scientific basis for nationwide fitness campaign. "Body-building Joint Exercises" is on the basis of Chinese medicine theory, emphasizes meaning view bone, gas knead move, move a loose, adjusting joint meaning, gas, dynamic three aspects , to better relax joints, enhance joints' flexibility, protect the joints, and can produce "five functions" benefit, namely maintenance efficiency, mining potential, playing instinct, saving energy, and improving the immune function.%本研究以延安大学体育学院09级体育学院男子大学生为受试对象,通过实验的方法,测定健身关节操锻炼的测试者柔韧素质指标及其他身体素质指标的变化,对健身关节操机理及健身效果进行分析论证,希望为全民健身运动提供科学依据.“健身关节操”在中医理论基础上,强调意观骨、气揉动、动位松,对关节进行意、气、动三方面调节,更好的放松关节,增强关节柔韧性,保护关节,并能产生“五能”效益,即养护效能,挖掘潜能,发挥本能,节约耗能,提高免疫功能.

  6. Our Buildings, Ourselves.

    Science.gov (United States)

    Roodman, David Malin; Lenssen, Nicholas

    1994-01-01

    Reviews in detail environmental impacts associated with buildings. Discusses building construction, internal environments, building life spans, building materials, protection from climate, and amenities. (LZ)

  7. Inferring Meta-covariates in Classification

    Science.gov (United States)

    Harris, Keith; McMillan, Lisa; Girolami, Mark

    This paper develops an alternative method for gene selection that combines model based clustering and binary classification. By averaging the covariates within the clusters obtained from model based clustering, we define “meta-covariates” and use them to build a probit regression model, thereby selecting clusters of similarly behaving genes, aiding interpretation. This simultaneous learning task is accomplished by an EM algorithm that optimises a single likelihood function which rewards good performance at both classification and clustering. We explore the performance of our methodology on a well known leukaemia dataset and use the Gene Ontology to interpret our results.

  8. Dissimilarity Representations in Lung Parenchyma Classification

    DEFF Research Database (Denmark)

    Sørensen, Lauge Emil Borch Laurs; de Bruijne, Marleen

    2009-01-01

    are built in this representation. This is also the general trend in lung parenchyma classification in computed tomography (CT) images, where the features often are measures on feature histograms. Instead, we propose to build normal density based classifiers in dissimilarity representations for lung...... parenchyma classification. This allows for the classifiers to work on dissimilarities between objects, which might be a more natural way of representing lung parenchyma. In this context, dissimilarity is defined between CT regions of interest (ROI)s. ROIs are represented by their CT attenuation histogram...

  9. Classification of refrigerants; Classification des fluides frigorigenes

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2001-07-01

    This document was made from the US standard ANSI/ASHRAE 34 published in 2001 and entitled 'designation and safety classification of refrigerants'. This classification allows to clearly organize in an international way the overall refrigerants used in the world thanks to a codification of the refrigerants in correspondence with their chemical composition. This note explains this codification: prefix, suffixes (hydrocarbons and derived fluids, azeotropic and non-azeotropic mixtures, various organic compounds, non-organic compounds), safety classification (toxicity, flammability, case of mixtures). (J.S.)

  10. Phylogenetic reconstruction of the wolf spiders (Araneae: Lycosidae) using sequences from the 12S rRNA, 28S rRNA, and NADH1 genes: implications for classification, biogeography, and the evolution of web building behavior.

    Science.gov (United States)

    Murphy, Nicholas P; Framenau, Volker W; Donnellan, Stephen C; Harvey, Mark S; Park, Yung-Chul; Austin, Andrew D

    2006-03-01

    Current knowledge of the evolutionary relationships amongst the wolf spiders (Araneae: Lycosidae) is based on assessment of morphological similarity or phylogenetic analysis of a small number of taxa. In order to enhance the current understanding of lycosid relationships, phylogenies of 70 lycosid species were reconstructed by parsimony and Bayesian methods using three molecular markers; the mitochondrial genes 12S rRNA, NADH1, and the nuclear gene 28S rRNA. The resultant trees from the mitochondrial markers were used to assess the current taxonomic status of the Lycosidae and to assess the evolutionary history of sheet-web construction in the group. The results suggest that a number of genera are not monophyletic, including Lycosa, Arctosa, Alopecosa, and Artoria. At the subfamilial level, the status of Pardosinae needs to be re-assessed, and the position of a number of genera within their respective subfamilies is in doubt (e.g., Hippasa and Arctosa in Lycosinae and Xerolycosa, Aulonia and Hygrolycosa in Venoniinae). In addition, a major clade of strictly Australasian taxa may require the creation of a new subfamily. The analysis of sheet-web building in Lycosidae revealed that the interpretation of this trait as an ancestral state relies on two factors: (1) an asymmetrical model favoring the loss of sheet-webs and (2) that the suspended silken tube of Pirata is directly descended from sheet-web building. Paralogous copies of the nuclear 28S rRNA gene were sequenced, confounding the interpretation of the phylogenetic analysis and suggesting that a cautionary approach should be taken to the further use of this gene for lycosid phylogenetic analysis.

  11. Classificazione delle forme insediative di età medievale nell’alta val di Chienti: le tipologie edilizie / Classification of settlement forms in medieval age in high Valley of Chienti: building typologies

    Directory of Open Access Journals (Sweden)

    Viviana Antongirolami

    2015-12-01

    Full Text Available Le persistenze architettoniche di età medievale e postmedievale rappresentano un elemento distintivo del paesaggio dell’alta Val di Chienti; nel contributo viene rivolto ad esse per la prima volta uno sguardo critico ed analitico complessivo utile ad un’ampia schedatura delle architetture storiche. Il lavoro di sintesi effettuato parte dai risultati di una prima classificazione effettuata nel 2003 e la arricchisce di nuovi dati derivanti da un successivo censimento, che ha avuto il merito di affiancare agli insediamenti fortificati e ai siti a stretta vocazione militare/difensiva i complessi architettonici di edilizia abitativa e rurale e le infrastrutture connesse alla viabilità antica. Tra gli insediamenti esaminati nell’alta Val di Chienti si riscontrano caratteristiche ricorrenti tra cui l’ubicazione del sito in altura e in posizione dominante; a volte più siti fortificati sono disposti a garantire una piena reciproca visibilità, creando un vero e proprio sistema fortificatorio. I risultati derivanti dalla presente ricerca individuano una tecnica dominante, attestata nella maggior parte dei casi-campione, che rappresenta principalmente la qualità tecnica propria della ristrutturazione di età varanesca (XIV secolo. The Medieval and Postmedieval architectural remains represent a distinctive element of the Upper Chienti Valley landscape. This essay presents a first critical analysis, aimed to a larger classifi cation of the historical buildings. The present synthesis is based on a previous work of 2003, with some new additions concerning fortified settlements, military sites, rural housing and infrastructures linked to the ancient and medieval road network. The castles show some recurring characteristics, such as the dominant positioning or the mutual visibility. In several cases we are able to identify a regular building technique resorting exclusively to local stone; this technique can be attributed to the restoration

  12. Lossless Compression of Classification-Map Data

    Science.gov (United States)

    Hua, Xie; Klimesh, Matthew

    2009-01-01

    A lossless image-data-compression algorithm intended specifically for application to classification-map data is based on prediction, context modeling, and entropy coding. The algorithm was formulated, in consideration of the differences between classification maps and ordinary images of natural scenes, so as to be capable of compressing classification- map data more effectively than do general-purpose image-data-compression algorithms. Classification maps are typically generated from remote-sensing images acquired by instruments aboard aircraft (see figure) and spacecraft. A classification map is a synthetic image that summarizes information derived from one or more original remote-sensing image(s) of a scene. The value assigned to each pixel in such a map is the index of a class that represents some type of content deduced from the original image data for example, a type of vegetation, a mineral, or a body of water at the corresponding location in the scene. When classification maps are generated onboard the aircraft or spacecraft, it is desirable to compress the classification-map data in order to reduce the volume of data that must be transmitted to a ground station.

  13. Classification, disease, and diagnosis.

    Science.gov (United States)

    Jutel, Annemarie

    2011-01-01

    Classification shapes medicine and guides its practice. Understanding classification must be part of the quest to better understand the social context and implications of diagnosis. Classifications are part of the human work that provides a foundation for the recognition and study of illness: deciding how the vast expanse of nature can be partitioned into meaningful chunks, stabilizing and structuring what is otherwise disordered. This article explores the aims of classification, their embodiment in medical diagnosis, and the historical traditions of medical classification. It provides a brief overview of the aims and principles of classification and their relevance to contemporary medicine. It also demonstrates how classifications operate as social framing devices that enable and disable communication, assert and refute authority, and are important items for sociological study.

  14. Competence Building

    DEFF Research Database (Denmark)

    Borrás, Susana; Edquist, Charles

    on the one hand, and the real world of innovation policy-making on the other, typically not speaking to each other. With this purpose in mind, this paper discusses the role of competences and competence-building in the innovation process from a perspective of innovation systems; it examines how governments...... and public agencies in different countries and different times have actually approached the issue of building, maintaining and using competences in their innovation systems; it examines what are the critical and most important issues at stake from the point of view of innovation policy, looking particularly...

  15. Security classification of information

    Energy Technology Data Exchange (ETDEWEB)

    Quist, A.S.

    1993-04-01

    This document is the second of a planned four-volume work that comprehensively discusses the security classification of information. The main focus of Volume 2 is on the principles for classification of information. Included herein are descriptions of the two major types of information that governments classify for national security reasons (subjective and objective information), guidance to use when determining whether information under consideration for classification is controlled by the government (a necessary requirement for classification to be effective), information disclosure risks and benefits (the benefits and costs of classification), standards to use when balancing information disclosure risks and benefits, guidance for assigning classification levels (Top Secret, Secret, or Confidential) to classified information, guidance for determining how long information should be classified (classification duration), classification of associations of information, classification of compilations of information, and principles for declassifying and downgrading information. Rules or principles of certain areas of our legal system (e.g., trade secret law) are sometimes mentioned to .provide added support to some of those classification principles.

  16. Security classification of information

    Energy Technology Data Exchange (ETDEWEB)

    Quist, A.S.

    1989-09-01

    Certain governmental information must be classified for national security reasons. However, the national security benefits from classifying information are usually accompanied by significant costs -- those due to a citizenry not fully informed on governmental activities, the extra costs of operating classified programs and procuring classified materials (e.g., weapons), the losses to our nation when advances made in classified programs cannot be utilized in unclassified programs. The goal of a classification system should be to clearly identify that information which must be protected for national security reasons and to ensure that information not needing such protection is not classified. This document was prepared to help attain that goal. This document is the first of a planned four-volume work that comprehensively discusses the security classification of information. Volume 1 broadly describes the need for classification, the basis for classification, and the history of classification in the United States from colonial times until World War 2. Classification of information since World War 2, under Executive Orders and the Atomic Energy Acts of 1946 and 1954, is discussed in more detail, with particular emphasis on the classification of atomic energy information. Adverse impacts of classification are also described. Subsequent volumes will discuss classification principles, classification management, and the control of certain unclassified scientific and technical information. 340 refs., 6 tabs.

  17. Building Sandcastles

    DEFF Research Database (Denmark)

    Jensen, Steffen Moltrup Ernø; Korsgaard, Steffen; Shumar, Wes

    of entrepreneurship education. Our theoretical and methodological approach builds on Actor-Network Theory. The empirical settings of our study consist of two entrepreneurship courses which differ in terms of temporal extension and physical setting. Data is collected using observation and interview techniques. Our...

  18. Building economics

    DEFF Research Database (Denmark)

    Pedersen, D.O.(red.)

    Publikationen er på engelsk. Den omfatter alle indlæg på det fjerde internationale symposium om byggeøkonomi, der blev arrangeret af SBI for det internationale byggeforskningsråd CIB. De fem bind omhandler: Methods of Economic Evaluation, Design Optimization, Ressource Utilization, The Building...

  19. Building Partnerships.

    Science.gov (United States)

    Kisner, Mary J.; And Others

    1997-01-01

    Defines school-business partnerships and reviews changes in such partnerships over the past 25 years. Provides steps to building effective partnerships for school-to-work activities: review the school's mission; select partners that will bring strength to the relationship; set clearly defined, realistic goals; maintain the partnership; and…

  20. Sustainable Buildings

    DEFF Research Database (Denmark)

    Tommerup, Henrik M.; Elle, Morten

    The scientific community agrees that: all countries must drastically and rapidly reduce their CO2 emissions and that energy efficient houses play a decisive role in this. The general attitude at the workshop on Sustainable Buildings was that we face large and serious climate change problems...

  1. Building Partnerships.

    Science.gov (United States)

    Kisner, Mary J.; And Others

    1997-01-01

    Defines school-business partnerships and reviews changes in such partnerships over the past 25 years. Provides steps to building effective partnerships for school-to-work activities: review the school's mission; select partners that will bring strength to the relationship; set clearly defined, realistic goals; maintain the partnership; and…

  2. Existing buildings

    DEFF Research Database (Denmark)

    Gram-Hanssen, Kirsten

    2014-01-01

    their homes. These policy measures include building regulations, energy tax and different types of incentives and information dissemination. The conclusion calls for new and innovative policy measures to cope with the realities of renovations of owner-occupied houses and how energy efficiency improvement...

  3. On present situation and measures of farmer's body - building in northern Guangdong Province%粤北山区农村全民健身活动发展趋势的研究

    Institute of Scientific and Technical Information of China (English)

    吴建逊

    2012-01-01

    采用调查和数理统计法,对粤北山区农村全民健身活动进行了研究。结果发现:粤北山区农村居民对《全民健身计划》不了解的占53.15%;16~25岁年龄段的人群参加体育活动的比例最高;健身活动时间随意性较大;学校体育对全民健身活动有较大影响;没时间参加健身活动占61.14%;场地器材缺乏是制约山区体育活动开展主要因素。为促进山区全民健身活动,应发挥政府的主导作用,加大宣传力度,大力发展山区学校体育及开展丰富多彩民族传统体育活动。%By using the methods of literature and questionnaire, the paper focuses on thepresent situation of farmer's bodybuilding in northern Guangdong Province. Study shows that the rural residents knowledge of bodybuilding is limited, 53. 15% knowing nothing about the Outline of Nationwide Body - building Plan. The group of people that participate in sports activities are mostly between 16 and 25 years old. The sports time is random and school sports have a great influence on nationwide fitness activities. 61.14% of the farmers do not have time for sports. The main factor that restricts the development of rural sports is the lack of sports venues and facilities. It is suggested that the government play the leading role to develop school sports in mountainous regions and launch colorful ethnic traditional sports activities.

  4. Acoustic classification schemes in Europe – Applicability for new, existing and renovated housing

    DEFF Research Database (Denmark)

    Rasmussen, Birgit

    2016-01-01

    of the international scheme for classification of dwellings under development in ISO/TC43/SC2 will be explained. One of several key characteristics of the proposal is a wide range of classes, implying applicability to a major part of the existing housing stock in Europe, thus enabling acoustic labelling like energy......The first acoustic classification schemes for dwellings were published in the 1990’es as national standards with the main purpose to introduce the possibility of specifying easily stricter acoustic criteria for new-build than the minimum requirements found in building regulations. Since then, more...... countries have introduced acoustic classification schemes, the first countries updated more times and some countries introduced acoustic classification also for other building categories. However, the classification schemes continued to focus on new buildings and have in general limited applicability...

  5. Ontologies vs. Classification Systems

    DEFF Research Database (Denmark)

    Madsen, Bodil Nistrup; Erdman Thomsen, Hanne

    2009-01-01

    What is an ontology compared to a classification system? Is a taxonomy a kind of classification system or a kind of ontology? These are questions that we meet when working with people from industry and public authorities, who need methods and tools for concept clarification, for developing meta d...... classification systems and meta data taxonomies, should be based on ontologies.......What is an ontology compared to a classification system? Is a taxonomy a kind of classification system or a kind of ontology? These are questions that we meet when working with people from industry and public authorities, who need methods and tools for concept clarification, for developing meta...... data sets or for obtaining advanced search facilities. In this paper we will present an attempt at answering these questions. We will give a presentation of various types of ontologies and briefly introduce terminological ontologies. Furthermore we will argue that classification systems, e.g. product...

  6. Guidelines for Building Science Education

    Energy Technology Data Exchange (ETDEWEB)

    Metzger, Cheryn E. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Rashkin, Samuel [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Huelman, Pat [Pacific Northwest National Lab. (PNNL), Richland, WA (United States)

    2015-11-01

    building science education. This report summarizes the steps DOE has taken to develop guidance for building science education and outlines a path forward towards creating real change for an industry in need. The Guidelines for Building Science Education outlined in Appendix A of this report have been developed for external stakeholders to use to certify that their programs are incorporating the most important aspects of building science at the most appropriate proficiency level for their role. The guidelines are intended to be used primarily by training organizations, universities, and certification bodies. Each guideline can be printed or saved as a stand-alone document for ease-of-use by the respective stakeholder group. In 2015, DOE, with leadership from Pacific Northwest National Laboratory (PNNL), is launching a multi-year campaign to promote the adoption of the Guidelines for Building Science Education in a variety of training settings.

  7. Guidelines for Building Science Education

    Energy Technology Data Exchange (ETDEWEB)

    Metzger, Cheryn E.; Rashkin, Samuel; Huelman, Pat

    2015-03-11

    building science education. This report summarizes the steps DOE has taken to develop guidance for building science education and outlines a path forward towards creating real change for an industry in need. The Guidelines for Building Science Education outlined in Appendix A of this report have been developed for external stakeholders to use to certify that their programs are incorporating the most important aspects of building science at the most appropriate proficiency level for their role. The guidelines are intended to be used primarily by training organizations, universities, and certification bodies. Each guideline can be printed or saved as a stand-alone document for ease-of-use by the respective stakeholder group. In 2015, DOE, with leadership from Pacific Northwest National Laboratory (PNNL), is launching a multi-year campaign to promote the adoption of the Guidelines for Building Science Education in a variety of training settings.

  8. Classification of Spreadsheet Errors

    OpenAIRE

    Rajalingham, Kamalasen; Chadwick, David R.; Knight, Brian

    2008-01-01

    This paper describes a framework for a systematic classification of spreadsheet errors. This classification or taxonomy of errors is aimed at facilitating analysis and comprehension of the different types of spreadsheet errors. The taxonomy is an outcome of an investigation of the widespread problem of spreadsheet errors and an analysis of specific types of these errors. This paper contains a description of the various elements and categories of the classification and is supported by appropri...

  9. Information gathering for CLP classification

    OpenAIRE

    Ida Marcello; Felice Giordano; Francesca Marina Costamagna

    2011-01-01

    Regulation 1272/2008 includes provisions for two types of classification: harmonised classification and self-classification. The harmonised classification of substances is decided at Community level and a list of harmonised classifications is included in the Annex VI of the classification, labelling and packaging Regulation (CLP). If a chemical substance is not included in the harmonised classification list it must be self-classified, based on available information, according to the requireme...

  10. Classification recycled fine aggregate impact on the performance of building mortar experimental study%分类再生细骨料对建筑砂浆性能影响的试验研究

    Institute of Scientific and Technical Information of China (English)

    秦拥军; 刘志刚; 于江

    2014-01-01

    After crushing and screening different sources of waste concrete,it divided them into I,II,III categories by the“Recycled fine aggregate for concrete and mortar”.Then five different standard cement mortar test block of these three types recycled fine aggregate were designed according to five different replacement ratio ,which was used to determine their workability and compressive strength by the“Standard for test method of performance on building mortar”.The results showed that the workability and strength of I ,II,III class recy-cled fine aggregate mortar were decreasing;When controlling the consistency in the 60~90 mm,water consumption was increasing while water-retaining capacity and compressive strength was reducing with the replacement rate increasing;Class II fine aggregate and cement bond better by SEM observation,the intensity was higher.So it recommended that the replacement ratio of class I recycled fine aggregate should not exceed 50%and II,III class recycled fine aggregate should not exceed 30%.%将不同来源的废弃混凝土破碎筛分后,按照《混凝土和砂浆用再生细骨料》分为I、II、III类,依据《建筑砂浆基本性能试验方法标准》对这三类再生细骨料设计五种不同取代率的水泥砂浆标准试块,测定其和易性和抗压强度,并对取代率为100%的再生砂浆界面结合区的微观形貌进行观察。试验结果表明:I、II、III类再生细骨料所配制的砂浆和易性和强度依次降低;控制稠度在60~90 mm时,随取代率的增大,用水量增大,保水性降低,强度降低;通过SEM观察,II类再生细骨料与水泥石黏结较好,强度也较高。建议I类再生细骨料取代率不宜超过50%,II、III类再生细骨料不宜超过30%。

  11. Concepts of Classification and Taxonomy. Phylogenetic Classification

    CERN Document Server

    Fraix-Burnet, Didier

    2016-01-01

    Phylogenetic approaches to classification have been heavily developed in biology by bioinformaticians. But these techniques have applications in other fields, in particular in linguistics. Their main characteristics is to search for relationships between the objects or species in study, instead of grouping them by similarity. They are thus rather well suited for any kind of evolutionary objects. For nearly fifteen years, astrocladistics has explored the use of Maximum Parsimony (or cladistics) for astronomical objects like galaxies or globular clusters. In this lesson we will learn how it works. 1 Why phylogenetic tools in astrophysics? 1.1 History of classification The need for classifying living organisms is very ancient, and the first classification system can be dated back to the Greeks. The goal was very practical since it was intended to distinguish between eatable and toxic aliments, or kind and dangerous animals. Simple resemblance was used and has been used for centuries. Basically, until the XVIIIth...

  12. Musculação, uso de esteróides anabolizantes e percepção de risco entre jovens fisiculturistas de um bairro popular de Salvador, Bahia, Brasil Body-building, steroid use, and risk perception among young body-builders from a low-income neighborhood in the city of Salvador, Bahia State, Brazil

    Directory of Open Access Journals (Sweden)

    Jorge Alberto Bernstein Iriart

    2002-10-01

    Full Text Available Estudos recentes em diferentes países têm apontado o aumento do consumo de esteróides anabolizantes entre jovens fisiculturistas e atletas, e os danos à saúde causados pelo seu uso indiscriminado. No Brasil, estudos sobre o uso de anabolizantes são escassos. No presente trabalho, examina-se a percepção de risco à saúde, associada ao consumo de anabolizantes, entre jovens fisiculturistas de um bairro pobre da cidade de Salvador. A metodologia privilegiou métodos de coleta de dados qualitativos tais como etnografia, entrevistas semi-estruturadas e grupo focal com usuários de anabolizantes. Os dados produzidos descrevem as principais substâncias utilizadas e os padrões de uso, e apontam a falta de informação dos jovens entrevistados sobre a extensão dos danos à saúde decorrentes do consumo de anabolizantes, mostrando que para muitos, o desejo de desenvolver massa muscular e alcançar o corpo ideal se sobrepõe ao risco de efeitos colaterais. Os resultados indicam a necessidade de se desenvolver ações culturalmente apropriadas, voltadas para a prevenção do abuso de anabolizantes junto à essa população.Recent studies in different countries have shown an increase in anabolic steroid consumption among young people and the harm caused by indiscriminate use. In Brazil, research on steroid abuse is scarce. The present study examines the risk perception of health problems associated with anabolic steroid consumption among young working-class adults engaged in body-building practices in a poor neighborhood in the city of Salvador, Bahia. The methodology involved an anthropological approach based on qualitative research techniques consisting of ethnography, in-depth interviews, and a focus group with steroid users. The data describe the most common substances consumed and highlight the lack of information among interviewees concerning potential related health hazards, showing that for many steroid consumers the quest for muscle

  13. Building Bridges

    DEFF Research Database (Denmark)

    The report Building Bridges adresses the questions why, how and for whom academic audience research has public value, from the different points of view of the four working groups in the COST Action IS0906 Transforming Audiences, Transforming Societies – “New Media Genres, Media Literacy and Trust...... in the Media”, “Audience Interactivity and Participation”, “The Role of Media and ICT Use for Evolving Social Relationships” and “Audience Transformations and Social Integration”. Building Bridges is the result of an ongoing dialogue between the Action and non-academic stakeholders in the field of audience...... Belgrade), Leo Pekkala (Finnish Centre for Media Education and Audiovisual Media/MEKU), Julie Uldam (Network on Civic Engagement and Social Innovation) and Gabriella Velics (Community Media Forum Europe)....

  14. Building Letters

    Institute of Scientific and Technical Information of China (English)

    2005-01-01

    Cabinet是种十分吸引人却很简单的衬线字体,是由一名匿名字体设计师专门为Building Letters最新的资金筹集活动所设计的。这个Building Letters包中包含一个CDROM,有32种字体,以及一本专门设计的杂志和两张由Eboy和Emigre所设计的海报。字体光盘样例是由世界顶级的字体设计师们设计的.

  15. Building economics

    DEFF Research Database (Denmark)

    Pedersen, D.O.(red.)

    Publikationen er på engelsk. Den omfatter alle indlæg på det fjerde internationale symposium om byggeøkonomi, der blev arrangeret af SBI for det internationale byggeforskningsråd CIB. De fem bind omhandler: Methods of Economic Evaluation, Design Optimization, Ressource Utilization, The Building...... Market og Economics and Technological Forecasting in Construction. Et indledende bind bringer statusrapporter for de fem forskningsområder, og det sidste bind sammenfatter debatten på symposiet....

  16. Bioradiolocation-based sleep stage classification.

    Science.gov (United States)

    Tataraidze, Alexander; Korostovtseva, Lyudmila; Anishchenko, Lesya; Bochkarev, Mikhail; Sviryaev, Yurii; Ivashov, Sergey

    2016-08-01

    This paper presents a method for classifying wakefulness, REM, light and deep sleep based on the analysis of respiratory activity and body motions acquired by a bioradar. The method was validated using data of 32 subjects without sleep-disordered breathing, who underwent a polysomnography study in a sleep laboratory. We achieved Cohen's kappa of 0.49 in the wake-REM-light-deep sleep classification, 0.55 for the wake-REM-NREM classification and 0.57 for the sleep/wakefulness determination. The results might be useful for the development of unobtrusive sleep monitoring systems for diagnostics, prevention, and management of sleep disorders.

  17. Library Classification 2020

    Science.gov (United States)

    Harris, Christopher

    2013-01-01

    In this article the author explores how a new library classification system might be designed using some aspects of the Dewey Decimal Classification (DDC) and ideas from other systems to create something that works for school libraries in the year 2020. By examining what works well with the Dewey Decimal System, what features should be carried…

  18. Multiple sparse representations classification

    NARCIS (Netherlands)

    E. Plenge (Esben); S.K. Klein (Stefan); W.J. Niessen (Wiro); E. Meijering (Erik)

    2015-01-01

    textabstractSparse representations classification (SRC) is a powerful technique for pixelwise classification of images and it is increasingly being used for a wide variety of image analysis tasks. The method uses sparse representation and learned redundant dictionaries to classify image pixels. In t

  19. Library Classification 2020

    Science.gov (United States)

    Harris, Christopher

    2013-01-01

    In this article the author explores how a new library classification system might be designed using some aspects of the Dewey Decimal Classification (DDC) and ideas from other systems to create something that works for school libraries in the year 2020. By examining what works well with the Dewey Decimal System, what features should be carried…

  20. Image Classification Workflow Using Machine Learning Methods

    Science.gov (United States)

    Christoffersen, M. S.; Roser, M.; Valadez-Vergara, R.; Fernández-Vega, J. A.; Pierce, S. A.; Arora, R.

    2016-12-01

    Recent increases in the availability and quality of remote sensing datasets have fueled an increasing number of scientifically significant discoveries based on land use classification and land use change analysis. However, much of the software made to work with remote sensing data products, specifically multispectral images, is commercial and often prohibitively expensive. The free to use solutions that are currently available come bundled up as small parts of much larger programs that are very susceptible to bugs and difficult to install and configure. What is needed is a compact, easy to use set of tools to perform land use analysis on multispectral images. To address this need, we have developed software using the Python programming language with the sole function of land use classification and land use change analysis. We chose Python to develop our software because it is relatively readable, has a large body of relevant third party libraries such as GDAL and Spectral Python, and is free to install and use on Windows, Linux, and Macintosh operating systems. In order to test our classification software, we performed a K-means unsupervised classification, Gaussian Maximum Likelihood supervised classification, and a Mahalanobis Distance based supervised classification. The images used for testing were three Landsat rasters of Austin, Texas with a spatial resolution of 60 meters for the years of 1984 and 1999, and 30 meters for the year 2015. The testing dataset was easily downloaded using the Earth Explorer application produced by the USGS. The software should be able to perform classification based on any set of multispectral rasters with little to no modification. Our software makes the ease of land use classification using commercial software available without an expensive license.

  1. Classifier in Age classification

    Directory of Open Access Journals (Sweden)

    B. Santhi

    2012-12-01

    Full Text Available Face is the important feature of the human beings. We can derive various properties of a human by analyzing the face. The objective of the study is to design a classifier for age using facial images. Age classification is essential in many applications like crime detection, employment and face detection. The proposed algorithm contains four phases: preprocessing, feature extraction, feature selection and classification. The classification employs two class labels namely child and Old. This study addresses the limitations in the existing classifiers, as it uses the Grey Level Co-occurrence Matrix (GLCM for feature extraction and Support Vector Machine (SVM for classification. This improves the accuracy of the classification as it outperforms the existing methods.

  2. Measuring adiposity in patients: the utility of body mass index (BMI), percent body fat, and leptin

    National Research Council Canada - National Science Library

    Shah, Nirav R; Braverman, Eric R

    2012-01-01

    ...%. Currently, the body mass index (BMI) is most commonly used to determine adiposity. However, BMI presents as an inaccurate obesity classification method that underestimates the epidemic and contributes to failed treatment...

  3. Residential Building Envelope Alternatives with Equivalent Cost

    OpenAIRE

    2011-01-01

    Selecting the optimum envelope alternative in buildings is one of the most important factors in ensuring thermal comfort. This study calculated the heating costs, construction and lifecycle costs for a residential building in Istanbul with different envelope alternatives created by changing the type and thickness of the body and insulation materials used in the walls and roof, which are the structural components forming the building envelope. Envelope alternatives with equivalent costs were d...

  4. Specific classification of financial analysis of enterprise activity

    Directory of Open Access Journals (Sweden)

    Synkevych Nadiia I.

    2014-01-01

    Full Text Available Despite the fact that one can find a big variety of classifications of types of financial analysis of enterprise activity, which differ with their approach to classification and a number of classification features and their content, in modern scientific literature, their complex comparison and analysis of existing classification have not been done. This explains urgency of this study. The article studies classification of types of financial analysis of scientists and presents own approach to this problem. By the results of analysis the article improves and builds up a specific classification of financial analysis of enterprise activity and offers classification by the following features: objects, subjects, goals of study, automation level, time period of the analytical base, scope of study, organisation system, classification features of the subject, spatial belonging, sufficiency, information sources, periodicity, criterial base, method of data selection for analysis and time direction. All types of financial analysis significantly differ with their inherent properties and parameters depending on the goals of financial analysis. The developed specific classification provides subjects of financial analysis of enterprise activity with a possibility to identify a specific type of financial analysis, which would correctly meet the set goals.

  5. A New Classification Method to Overcome Over-Branching

    Institute of Scientific and Technical Information of China (English)

    ZHOU Aoying(周傲英); QIAN Weining(钱卫宁); QIAN Hailei(钱海蕾); JIN Wen(金文)

    2002-01-01

    Classification is an important technique in data mining. The decision trees built by most of the existing classification algorithms commonly feature over-branching, which will lead to poor efficiency in the subsequent classification period. In this paper, we present a new value-oriented classification method, which aims at building accurately proper-sized decision trees while reducing over-branching as much as possible, based on the concepts of frequentpattern-node and exceptive-child-node. The experiments show that while using relevant analysis as pre-processing, our classification method, without loss of accuracy, can eliminate the over-branching greatly in decision trees more effectively and efficiently than other algorithms do.

  6. MYCELIUM BUILDING

    OpenAIRE

    Jondelius, Olof

    2015-01-01

    This work is looking in to what possibilites and restrictions comes with using mycelium as a building material for a small house. It includes reasoning around solutions for some of the problems and presenting some ideas of how to use some of the materials properties in your favor. A general background of why we need to start look in to alternative materials for all petroleum materials are presented. Det här arbetet har varit inriktat på att se vilka möjligheter samt begränsningar det skul...

  7. Building sustainability

    CSIR Research Space (South Africa)

    Mass Media

    2007-11-01

    Full Text Available establishment of its platform. Van Wyk believes that South Africa faces other challenges when it comes to sustainable building. “You can’t separate the process from the product,” he says. “South Africa still has to learn a lot and has to make many... stakeholders and implemented at an early stage. By G uy O lde nk ott e Bu idl ing Af ric aa rc hiv es Bu idl ing Af ric aa rc hiv es Perfect blend November 2007 jFM BUSINESS, RETAIL & LEISURE FACILITIES6 During the FM Expo...

  8. Kappa Coefficients for Circular Classifications

    NARCIS (Netherlands)

    Warrens, Matthijs J.; Pratiwi, Bunga C.

    2016-01-01

    Circular classifications are classification scales with categories that exhibit a certain periodicity. Since linear scales have endpoints, the standard weighted kappas used for linear scales are not appropriate for analyzing agreement between two circular classifications. A family of kappa coefficie

  9. Innovative Danish Building Envelope Components for Passive Houses

    DEFF Research Database (Denmark)

    Tommerup, Henrik M.; Svendsen, Svend

    2006-01-01

    . The perhaps most important basic passive house concept requirement in a relatively cold Danish climate is envelope constructions with superior thermal insulation without thermal bridges. Some Danish producers of building components have during the last couple of years, developed new highly insulated...... tighter energy performance requirements in 2006 and a new classification system, where buildings can be classi¬fied as being a “Low energy building class 1 or 2”. These new requirements are based on the EU-directive on Energy Performance of Buildings, EPBD (2002/91/EC). The new classification system...... will make it possible for building contractors to better promote low energy houses and even passive houses to the consumers. The consumers will, in an easy way, be able to demand that their new house should have a better energy performan¬ce than the minimum requirements specified in the Building Regulations...

  10. The Database of Egyptian Building Envelopes (DEBE): A database for building energy simulations

    OpenAIRE

    Attia, Shady; Wanas, O.

    2012-01-01

    This paper is a part of an ongoing research that aims to describe the influence of building constructions on energy consumption through a survey that is conducted in Cairo and its surrounding residential neighbourhoods. An inventory of the selected neighbourhoods envelope constructions and their characteristics is described in accordance with the new Egyptian energy standard for residential buildings. After thorough screening and classification, the constructions are digitalized and uploa...

  11. Towards a genetic classification of uranium deposits; Vers une classification genetique des gisements d'uranium

    Energy Technology Data Exchange (ETDEWEB)

    Cuney, M. [G2R, Nancy Universite, CNRS, CREGU, 54 - Vandoeuvre les Nancy (France)

    2009-07-01

    As the IAEA's uranium deposit classification is based on the deposit nature and morphology, some deposits which have been formed by very different genetic processes and located in very different geological environments, are grouped according to this classification. In order to build up a reliable genetic classification based on the mechanism at the origin of the formation of the deposit, the author presents the five main categories according to which uranium deposits can be classified: magmatic, hydrothermal, evapotranspiration, syn-sedimentary, and infiltration of meteoric water

  12. Body Clock

    Institute of Scientific and Technical Information of China (English)

    刘洪毓

    2000-01-01

    Body clocks” are biological methods of controling body activities.Every living thing has one. In humans, a body clock controls normal periods of sleeping and waking. It controls the time swhen you are most likely to feel pain.Eating, sleeping and exercising at about the same time each day will help keep body activities normal. But changes in your life, a new job, for example, destroy the balance and thus cause health problems.

  13. New Construction for Commercial Building (Restaurant By Considering The Green Building Strategies

    Directory of Open Access Journals (Sweden)

    MF Baharom

    2015-08-01

    by implementing the green building strategies as to achieve the gold rating in GBI classifications.

  14. Classification of LiDAR Data with Point Based Classification Methods

    Science.gov (United States)

    Yastikli, N.; Cetin, Z.

    2016-06-01

    LiDAR is one of the most effective systems for 3 dimensional (3D) data collection in wide areas. Nowadays, airborne LiDAR data is used frequently in various applications such as object extraction, 3D modelling, change detection and revision of maps with increasing point density and accuracy. The classification of the LiDAR points is the first step of LiDAR data processing chain and should be handled in proper way since the 3D city modelling, building extraction, DEM generation, etc. applications directly use the classified point clouds. The different classification methods can be seen in recent researches and most of researches work with the gridded LiDAR point cloud. In grid based data processing of the LiDAR data, the characteristic point loss in the LiDAR point cloud especially vegetation and buildings or losing height accuracy during the interpolation stage are inevitable. In this case, the possible solution is the use of the raw point cloud data for classification to avoid data and accuracy loss in gridding process. In this study, the point based classification possibilities of the LiDAR point cloud is investigated to obtain more accurate classes. The automatic point based approaches, which are based on hierarchical rules, have been proposed to achieve ground, building and vegetation classes using the raw LiDAR point cloud data. In proposed approaches, every single LiDAR point is analyzed according to their features such as height, multi-return, etc. then automatically assigned to the class which they belong to. The use of un-gridded point cloud in proposed point based classification process helped the determination of more realistic rule sets. The detailed parameter analyses have been performed to obtain the most appropriate parameters in the rule sets to achieve accurate classes. The hierarchical rule sets were created for proposed Approach 1 (using selected spatial-based and echo-based features) and Approach 2 (using only selected spatial-based features

  15. [Cajal bodies and histone locus bodies: molecular structure and function].

    Science.gov (United States)

    Khodiuchenko, T A; Krasikova, A V

    2014-01-01

    The review provides modern classification of evolutionarily conserved coilin-containing nuclear bodies of somatic and germ cells that is based on the characteristic features of their molecular composition and the nature of their functions. The main differences between Cajal bodies and histone locus bodies, which are involved in the biogenesis of small nuclear spliceosomal and nucleolar RNAs and in the 3'-end processing of histone precursor messenger RNA, respectively, are considered. It is shown that a significant contribution to the investigation of the diversity of coilin-containing bodies was made by the studies on the architecture of the RNA processing machinery in oocyte nuclei in a number of model organisms. The characteristics features of the molecular composition of coilin-containing bodies in the nuclei of growing oocytes (the so-called germinal vesicles) of vertebrates, including amphibians and birds, are described.

  16. 78 FR 54970 - Cotton Futures Classification: Optional Classification Procedure

    Science.gov (United States)

    2013-09-09

    ... process in March 2012 (77 FR 5379). When verified by a futures classification, Smith-Doxey data serves as... Classification: Optional Classification Procedure AGENCY: Agricultural Marketing Service, USDA. ACTION: Proposed... for the addition of an optional cotton futures classification procedure--identified and known...

  17. Pitch Based Sound Classification

    DEFF Research Database (Denmark)

    Nielsen, Andreas Brinch; Hansen, Lars Kai; Kjems, U

    2006-01-01

    A sound classification model is presented that can classify signals into music, noise and speech. The model extracts the pitch of the signal using the harmonic product spectrum. Based on the pitch estimate and a pitch error measure, features are created and used in a probabilistic model with soft......-max output function. Both linear and quadratic inputs are used. The model is trained on 2 hours of sound and tested on publicly available data. A test classification error below 0.05 with 1 s classification windows is achieved. Further more it is shown that linear input performs as well as a quadratic......, and that even though classification gets marginally better, not much is achieved by increasing the window size beyond 1 s....

  18. Learning Apache Mahout classification

    CERN Document Server

    Gupta, Ashish

    2015-01-01

    If you are a data scientist who has some experience with the Hadoop ecosystem and machine learning methods and want to try out classification on large datasets using Mahout, this book is ideal for you. Knowledge of Java is essential.

  19. Update on diabetes classification.

    Science.gov (United States)

    Thomas, Celeste C; Philipson, Louis H

    2015-01-01

    This article highlights the difficulties in creating a definitive classification of diabetes mellitus in the absence of a complete understanding of the pathogenesis of the major forms. This brief review shows the evolving nature of the classification of diabetes mellitus. No classification scheme is ideal, and all have some overlap and inconsistencies. The only diabetes in which it is possible to accurately diagnose by DNA sequencing, monogenic diabetes, remains undiagnosed in more than 90% of the individuals who have diabetes caused by one of the known gene mutations. The point of classification, or taxonomy, of disease, should be to give insight into both pathogenesis and treatment. It remains a source of frustration that all schemes of diabetes mellitus continue to fall short of this goal.

  20. [Classification of cardiomyopathy].

    Science.gov (United States)

    Asakura, Masanori; Kitakaze, Masafumi

    2014-01-01

    Cardiomyopathy is a group of cardiovascular diseases with poor prognosis. Some patients with dilated cardiomyopathy need heart transplantations due to severe heart failure. Some patients with hypertrophic cardiomyopathy die unexpectedly due to malignant ventricular arrhythmias. Various phenotypes of cardiomyopathies are due to the heterogeneous group of diseases. The classification of cardiomyopathies is important and indispensable in the clinical situation. However, their classification has not been established, because the causes of cardiomyopathies have not been fully elucidated. We usually use definition and classification offered by WHO/ISFC task force in 1995. Recently, several new definitions and classifications of the cardiomyopathies have been published by American Heart Association, European Society of Cardiology and Japanese Circulation Society.

  1. Carbohydrate terminology and classification

    National Research Council Canada - National Science Library

    Cummings, J H; Stephen, A M

    2007-01-01

    ...) and polysaccharides (DP> or =10). Within this classification, a number of terms are used such as mono- and disaccharides, polyols, oligosaccharides, starch, modified starch, non-starch polysaccharides, total carbohydrate, sugars, etc...

  2. Automatic Generation of 3D Building Models with Multiple Roofs

    Institute of Scientific and Technical Information of China (English)

    Kenichi Sugihara; Yoshitugu Hayashi

    2008-01-01

    Based on building footprints (building polygons) on digital maps, we are proposing the GIS and CG integrated system that automatically generates 3D building models with multiple roofs. Most building polygons' edges meet at right angles (orthogonal polygon). The integrated system partitions orthogonal building polygons into a set of rectangles and places rectangular roofs and box-shaped building bodies on these rectangles. In order to partition an orthogonal polygon, we proposed a useful polygon expression in deciding from which vertex a dividing line is drawn. In this paper, we propose a new scheme for partitioning building polygons and show the process of creating 3D roof models.

  3. Integrating Responsive Building Elements in Buildings

    DEFF Research Database (Denmark)

    Haase, Matthias; Amato, Alex; Heiselberg, Per

    2006-01-01

    There is a global need for a more sustainable building development. About 50% of energy is used in buildings indicating that buildings provide a considerable potential for operational energy savings. Studies were conducted with the following objectives: to perform a state-of-the-art review...... energy strategies to develop guidelines and procedures for estimation of environmental performance of responsive building elements and integrated building concepts This paper introduces the ideas of this collaborative work and discusses its usefulness for Hong Kong and China. Special focus was put...... of responsive building elements, of integrated building concepts and of environmental performance assessment methods to improve and optimize responsive building elements to develop and optimize new building concepts with integration of responsive building elements, HVAC-systems as well as natural and renewable...

  4. Expected Classification Accuracy

    Directory of Open Access Journals (Sweden)

    Lawrence M. Rudner

    2005-08-01

    Full Text Available Every time we make a classification based on a test score, we should expect some number..of misclassifications. Some examinees whose true ability is within a score range will have..observed scores outside of that range. A procedure for providing a classification table of..true and expected scores is developed for polytomously scored items under item response..theory and applied to state assessment data. A simplified procedure for estimating the..table entries is also presented.

  5. Completion of the classification

    CERN Document Server

    Strade, Helmut

    2012-01-01

    This is the last of three volumes about ""Simple Lie Algebras over Fields of Positive Characteristic""by Helmut Strade, presenting the state of the art of the structure and classification of Lie algebras over fields of positive characteristic. In this monograph the proof of the Classification Theorem presented in the first volumeis concluded.Itcollects all the important results on the topic whichcan be found only in scatteredscientific literaturso far.

  6. Twitter content classification

    OpenAIRE

    2010-01-01

    This paper delivers a new Twitter content classification framework based sixteen existing Twitter studies and a grounded theory analysis of a personal Twitter history. It expands the existing understanding of Twitter as a multifunction tool for personal, profession, commercial and phatic communications with a split level classification scheme that offers broad categorization and specific sub categories for deeper insight into the real world application of the service.

  7. Body contact and body language

    DEFF Research Database (Denmark)

    Winther, Helle Dagmar

    2008-01-01

    Body contact and body language are unique and existential and, although culturally dependent and socially embodied, they are also universal communication forms. For small children all over the world, warm, close and nourishing body contact is fundamental to their embodied experi­ence of themselve...

  8. General problems of technical diagnosis of non-metal building structures in explotable buildings and erections

    Directory of Open Access Journals (Sweden)

    V.G. Shtengel

    2010-11-01

    Full Text Available For successful realization of survey it is necessary to solve varioius technical and organizational problems. Each of them influence on completeness and reliability of information and thus, objectivity of conclusions about real state of structures and building as a whole, and also forecasting of its further exploitation. In the article the classification and brief analysis of these problems is given.

  9. Patient-specific biomechanical model as whole-body CT image registration tool.

    Science.gov (United States)

    Li, Mao; Miller, Karol; Joldes, Grand Roman; Doyle, Barry; Garlapati, Revanth Reddy; Kikinis, Ron; Wittek, Adam

    2015-05-01

    Whole-body computed tomography (CT) image registration is important for cancer diagnosis, therapy planning and treatment. Such registration requires accounting for large differences between source and target images caused by deformations of soft organs/tissues and articulated motion of skeletal structures. The registration algorithms relying solely on image processing methods exhibit deficiencies in accounting for such deformations and motion. We propose to predict the deformations and movements of body organs/tissues and skeletal structures for whole-body CT image registration using patient-specific non-linear biomechanical modelling. Unlike the conventional biomechanical modelling, our approach for building the biomechanical models does not require time-consuming segmentation of CT scans to divide the whole body into non-overlapping constituents with different material properties. Instead, a Fuzzy C-Means (FCM) algorithm is used for tissue classification to assign the constitutive properties automatically at integration points of the computation grid. We use only very simple segmentation of the spine when determining vertebrae displacements to define loading for biomechanical models. We demonstrate the feasibility and accuracy of our approach on CT images of seven patients suffering from cancer and aortic disease. The results confirm that accurate whole-body CT image registration can be achieved using a patient-specific non-linear biomechanical model constructed without time-consuming segmentation of the whole-body images.

  10. Emergent equilibrium in many-body optical bistability

    Science.gov (United States)

    Foss-Feig, M.; Niroula, P.; Young, J. T.; Hafezi, M.; Gorshkov, A. V.; Wilson, R. M.; Maghrebi, M. F.

    2017-04-01

    Many-body systems constructed of quantum-optical building blocks can now be realized in experimental platforms ranging from exciton-polariton fluids to ultracold Rydberg gases, establishing a fascinating interface between traditional many-body physics and the driven-dissipative, nonequilibrium setting of cavity QED. At this interface, the standard techniques and intuitions of both fields are called into question, obscuring issues as fundamental as the role of fluctuations, dimensionality, and symmetry on the nature of collective behavior and phase transitions. Here, we study the driven-dissipative Bose-Hubbard model, a minimal description of numerous atomic, optical, and solid-state systems in which particle loss is countered by coherent driving. Despite being a lattice version of optical bistability, a foundational and patently nonequilibrium model of cavity QED, the steady state possesses an emergent equilibrium description in terms of a classical Ising model. We establish this picture by making new connections between traditional techniques from many-body physics (functional integrals) and quantum optics (the system-size expansion). To lowest order in a controlled expansion—organized around the experimentally relevant limit of weak interactions—the full quantum dynamics reduces to nonequilibrium Langevin equations, which support a phase transition described by model A of the Hohenberg-Halperin classification. Numerical simulations of the Langevin equations corroborate this picture, revealing that canonical behavior associated with the Ising model manifests readily in simple experimental observables.

  11. Building energy analysis tool

    Science.gov (United States)

    Brackney, Larry; Parker, Andrew; Long, Nicholas; Metzger, Ian; Dean, Jesse; Lisell, Lars

    2016-04-12

    A building energy analysis system includes a building component library configured to store a plurality of building components, a modeling tool configured to access the building component library and create a building model of a building under analysis using building spatial data and using selected building components of the plurality of building components stored in the building component library, a building analysis engine configured to operate the building model and generate a baseline energy model of the building under analysis and further configured to apply one or more energy conservation measures to the baseline energy model in order to generate one or more corresponding optimized energy models, and a recommendation tool configured to assess the one or more optimized energy models against the baseline energy model and generate recommendations for substitute building components or modifications.

  12. An Algorithm for Classification of 3-D Spherical Spatial Points

    Institute of Scientific and Technical Information of China (English)

    ZHU Qing-xin; Mudur SP; LIU Chang; PENG Bo; WU Jia

    2003-01-01

    This paper presents a highly efficient algorithm for classification of 3D points sampled from lots of spheres, using neighboring relations of spatial points to construct a neighbor graph from points cloud. This algorithm can be used in object recognition, computer vision, and CAD model building, etc.

  13. Using Wikipedia with associative networks for document classification

    NARCIS (Netherlands)

    Bloom, Niels; Theune, M.; Jong, de F.M.G.

    2013-01-01

    We demonstrate a new technique for building associative networks based on Wikipedia, comparing them to WordNet-based associative networks that we used previously, nding the Wikipedia-based networks to perform better at document classification. Additionally, we compare the performance of associative

  14. Methods of building standard intermediate people model based on average body model%基于平均体模型的标准中间体人台建模方法

    Institute of Scientific and Technical Information of China (English)

    杨子田; 杨阳; 水翠翠

    2015-01-01

    In order to get the standard intermediate people model, firstly, the body point cloud data are obtained by measurement of human body. Based on the average body model data which has been established after processing point cloud data of the human body and adjusting human body model, through the research about the relation between standard intermediate characteristic parts, the regression equation of the characteristic position and human body height and chest circumference is established, and the standard size of characteristic parts is gotten. The shape factor method is adopted to adjust the point cloud model and the standard intermediate point cloud model is obtained. Finally in MATLAB environment, by using NURBS tool box, the surface modeling is accurately realized, and the standard intermediate model is obtained.%为得到标准中间体人台模型,首先通过测体获得人体躯干点云数据;在对人体点云数据处理和人体模型调整后获得平均体模型数据的基础上,通过对标准中间体特征部位关系的研究,建立特征部位与人体身高和胸围的回归方程,求得特征部位的标准尺寸;采用形状因子方法对点云模型进行调整,得到标准中间体点云模型;并在MATLAB环境下,通过NURBS工具箱准确地实现了曲面建模,最终得到标准中间体模型。

  15. Building America

    Energy Technology Data Exchange (ETDEWEB)

    Brad Oberg

    2010-12-31

    Builders generally use a 'spec and purchase' business management system (BMS) when implementing energy efficiency. A BMS is the overall operational and organizational systems and strategies that a builder uses to set up and run its company. This type of BMS treats building performance as a simple technology swap (e.g. a tank water heater to a tankless water heater) and typically compartmentalizes energy efficiency within one or two groups in the organization (e.g. purchasing and construction). While certain tools, such as details, checklists, and scopes of work, can assist builders in managing the quality of the construction of higher performance homes, they do nothing to address the underlying operational strategies and issues related to change management that builders face when they make high performance homes a core part of their mission. To achieve the systems integration necessary for attaining 40% + levels of energy efficiency, while capturing the cost tradeoffs, builders must use a 'systems approach' BMS, rather than a 'spec and purchase' BMS. The following attributes are inherent in a systems approach BMS; they are also generally seen in quality management systems (QMS), such as the National Housing Quality Certification program: Cultural and corporate alignment, Clear intent for quality and performance, Increased collaboration across internal and external teams, Better communication practices and systems, Disciplined approach to quality control, Measurement and verification of performance, Continuous feedback and improvement, and Whole house integrated design and specification.

  16. Buildings and Health. Educational campaign for healthy buildings. Educational material

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1994-12-31

    In recent years health and comfort problems associated with the indoor climate have come to constitute a problem in Sweden. To come to grips with this a nationwide educational campaign on Buildings and Health is being run. It is directed to those involved in planning, project design, construction and management of buildings. The objective is to convey a body of knowledge to the many occupational and professional groups in the construction sector on how to avoid indoor climate problems in homes, schools, offices and other workplaces. The campaign is being run by the Swedish National Board of Housing and Planning and the Swedish Council for Building Research, in co-operation with various organizations and companies in the construction industry, and with municipalities and authorities. The knowledge which is being disseminated through the campaign is summarized in this compendium. figs., tabs.

  17. Enquadramento dos corpos d’água e cobrança pelo uso da água na bacia do rio Pirapama - PE Water body classification and raw water charges in the Pirapama River Basin

    Directory of Open Access Journals (Sweden)

    Selma Cristina da Silva

    2006-12-01

    Full Text Available Neste artigo são apresentados os cenários de melhoria da qualidade da água para a bacia do rio Pirapama, localizada na Região Metropolitana do Recife, vinculados ao que dispõe o enquadramento dos corpos d’água segundo as Classes 1, 2 e 3 estipuladas pela Resolução CONAMA nº 357/05. Com base nesses cenários foram definidos os custos marginais de medida de redução da poluição que subsidiaram a concepção de um sistema de cobrança pelo lançamento de efluentes, o qual encontra respaldo legal na Lei nº 9.433/97 da Política Nacional de Recursos Hídricos. Os cenários foram simulados com o Sistema de Apoio à Decisão para o Controle Integrado de Poluição (SAD-CIP desenvolvido pelo Banco Mundial. Os resultados indicaram que para atender aos objetivos de qualidade (Classe 2, as fontes potencialmente poluidoras devem realizar o Tratamento Secundário e Terciário nas águas residuárias. O valor mais adequado a ser cobrado dos poluidores seria de US$ 320,00/ton de DBO lançada no rio.This paper establishes water quality improvement scenarios for an area of Pirapama River Basin in Recife Metropolitan Region, Brazil. This scenarios are related to Brazilian water body quality goals (defined by CONAMA Directive number 357/05. Based on those scenarios, pollution control marginal costs are calculated in order to simulate a water effluent system charge according to Brazilian Water Resources Policy (Law nº 9.433/97. The Decision Support System for Integrated Pollution Control (DSS-IPC, developed by the World Bank, was chosen for performing the simulations. The outcomes showed that in the studied area, the river does not comply with CONAMA Directive number 357/05, which establishes Class 2 for the main stream. Secondary and Tertiary treatments are needed to reach such Class and the water effluent system charge presents US$ 320.00/ton as a viable value to be charged.

  18. 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 ...

  19. Concepts of Classification and Taxonomy Phylogenetic Classification

    Science.gov (United States)

    Fraix-Burnet, D.

    2016-05-01

    Phylogenetic approaches to classification have been heavily developed in biology by bioinformaticians. But these techniques have applications in other fields, in particular in linguistics. Their main characteristics is to search for relationships between the objects or species in study, instead of grouping them by similarity. They are thus rather well suited for any kind of evolutionary objects. For nearly fifteen years, astrocladistics has explored the use of Maximum Parsimony (or cladistics) for astronomical objects like galaxies or globular clusters. In this lesson we will learn how it works.

  20. Bog bodies

    DEFF Research Database (Denmark)

    Lynnerup, Niels

    2015-01-01

    the bog bodies have been studied using medical and natural scientific methods, and recently many bog bodies have been re-examined using especially modern, medical imaging techniques. Because of the preservation of soft tissue, especially the skin, it has been possible to determine lesions and trauma...

  1. Body punk

    DEFF Research Database (Denmark)

    Mogensen, Kevin

    BODYPUNK - A Treatise on male body builders and the meaning of the body in the shadow of an Anti Doping Campaign Based on a qualitative study, the thesis investigates the visual representation of the male bodybuilder found in the national anti doping campaign: ‗ "The hunt has begun" along...

  2. Body Basics

    Science.gov (United States)

    ... more about how the body works, what basic human anatomy is, and what happens when parts of the body don't function properly. Blood Bones, Muscles, and Joints Brain and Nervous System Digestive System Endocrine System Eyes Female Reproductive System Heart and Circulatory System Immune ...

  3. Body Language

    Institute of Scientific and Technical Information of China (English)

    JosephDeVeto

    2004-01-01

    When we speak,we use much more than just words. We also communicate with our face. our hands,and even our own body. This Kind of communication ean be called “body language” or “non-verbal eommunieation”. Non-verbal

  4. Supernova Photometric Classification Challenge

    CERN Document Server

    Kessler, Richard; Jha, Saurabh; Kuhlmann, Stephen

    2010-01-01

    We have publicly released a blinded mix of simulated SNe, with types (Ia, Ib, Ic, II) selected in proportion to their expected rate. The simulation is realized in the griz filters of the Dark Energy Survey (DES) with realistic observing conditions (sky noise, point spread function and atmospheric transparency) based on years of recorded conditions at the DES site. Simulations of non-Ia type SNe are based on spectroscopically confirmed light curves that include unpublished non-Ia samples donated from the Carnegie Supernova Project (CSP), the Supernova Legacy Survey (SNLS), and the Sloan Digital Sky Survey-II (SDSS-II). We challenge scientists to run their classification algorithms and report a type for each SN. A spectroscopically confirmed subset is provided for training. The goals of this challenge are to (1) learn the relative strengths and weaknesses of the different classification algorithms, (2) use the results to improve classification algorithms, and (3) understand what spectroscopically confirmed sub-...

  5. Classification of hand eczema

    DEFF Research Database (Denmark)

    Agner, T; Aalto-Korte, K; Andersen, K E;

    2015-01-01

    BACKGROUND: Classification of hand eczema (HE) is mandatory in epidemiological and clinical studies, and also important in clinical work. OBJECTIVES: The aim was to test a recently proposed classification system of HE in clinical practice in a prospective multicentre study. METHODS: Patients were...... HE, protein contact dermatitis/contact urticaria, hyperkeratotic endogenous eczema and vesicular endogenous eczema, respectively. An additional diagnosis was given if symptoms indicated that factors additional to the main diagnosis were of importance for the disease. RESULTS: Four hundred and twenty......%) could not be classified. 38% had one additional diagnosis and 26% had two or more additional diagnoses. Eczema on feet was found in 30% of the patients, statistically significantly more frequently associated with hyperkeratotic and vesicular endogenous eczema. CONCLUSION: We find that the classification...

  6. Classification problem in CBIR

    Directory of Open Access Journals (Sweden)

    Tatiana Jaworska

    2013-04-01

    Full Text Available At present a great deal of research is being done in different aspects of Content-Based Im-age Retrieval (CBIR. Image classification is one of the most important tasks in image re-trieval that must be dealt with. The primary issue we have addressed is: how can the fuzzy set theory be used to handle crisp image data. We propose fuzzy rule-based classification of image objects. To achieve this goal we have built fuzzy rule-based classifiers for crisp data. In this paper we present the results of fuzzy rule-based classification in our CBIR. Further-more, these results are used to construct a search engine taking into account data mining.

  7. Cellular image classification

    CERN Document Server

    Xu, Xiang; Lin, Feng

    2017-01-01

    This book introduces new techniques for cellular image feature extraction, pattern recognition and classification. The authors use the antinuclear antibodies (ANAs) in patient serum as the subjects and the Indirect Immunofluorescence (IIF) technique as the imaging protocol to illustrate the applications of the described methods. Throughout the book, the authors provide evaluations for the proposed methods on two publicly available human epithelial (HEp-2) cell datasets: ICPR2012 dataset from the ICPR'12 HEp-2 cell classification contest and ICIP2013 training dataset from the ICIP'13 Competition on cells classification by fluorescent image analysis. First, the reading of imaging results is significantly influenced by one’s qualification and reading systems, causing high intra- and inter-laboratory variance. The authors present a low-order LP21 fiber mode for optical single cell manipulation and imaging staining patterns of HEp-2 cells. A focused four-lobed mode distribution is stable and effective in optical...

  8. Deep Webpage Classification and Extraction (DWCE

    Directory of Open Access Journals (Sweden)

    Supriya

    2013-04-01

    Full Text Available As the Deep web (or Hidden web information is hidden behind the search query forms, this information can only be accessed by interacting with these forms. Therefore, development of automated system that interacts with the search forms and extracts the hidden web pages would be of great value to human users. To accomplishthis task stated above, this paper proposes a novel method “Deep Webpage Classification and Extraction” which classifies the websites into appropriate domain, extracts their query interfaces and retrieves all result pages of deep websites using query building system.

  9. Machine Learning Algorithms in Web Page Classification

    Directory of Open Access Journals (Sweden)

    W.A.AWAD

    2012-11-01

    Full Text Available In this paper we use machine learning algorithms like SVM, KNN and GIS to perform a behaviorcomparison on the web pages classifications problem, from the experiment we see in the SVM with smallnumber of negative documents to build the centroids has the smallest storage requirement and the least online test computation cost. But almost all GIS with different number of nearest neighbors have an evenhigher storage requirement and on line test computation cost than KNN. This suggests that some futurework should be done to try to reduce the storage requirement and on list test cost of GIS.

  10. Building performance modelling for sustainable building design

    National Research Council Canada - National Science Library

    Oduyemi, Olufolahan; Okoroh, Michael

    2016-01-01

    ...) called Ecotect for sustainable building design. Finally, it introduces a design tool analysis of a case study using Ecotect to evaluate various what if scenarios on a proposed multi-use building...

  11. Active Learning of Classification Models with Likert-Scale Feedback.

    Science.gov (United States)

    Xue, Yanbing; Hauskrecht, Milos

    2017-01-01

    Annotation of classification data by humans can be a time-consuming and tedious process. Finding ways of reducing the annotation effort is critical for building the classification models in practice and for applying them to a variety of classification tasks. In this paper, we develop a new active learning framework that combines two strategies to reduce the annotation effort. First, it relies on label uncertainty information obtained from the human in terms of the Likert-scale feedback. Second, it uses active learning to annotate examples with the greatest expected change. We propose a Bayesian approach to calculate the expectation and an incremental SVM solver to reduce the time complexity of the solvers. We show the combination of our active learning strategy and the Likert-scale feedback can learn classification models more rapidly and with a smaller number of labeled instances than methods that rely on either Likert-scale labels or active learning alone.

  12. Classification approach based on association rules mining for unbalanced data

    CERN Document Server

    Ndour, Cheikh

    2012-01-01

    This paper deals with the supervised classification when the response variable is binary and its class distribution is unbalanced. In such situation, it is not possible to build a powerful classifier by using standard methods such as logistic regression, classification tree, discriminant analysis, etc. To overcome this short-coming of these methods that provide classifiers with low sensibility, we tackled the classification problem here through an approach based on the association rules learning because this approach has the advantage of allowing the identification of the patterns that are well correlated with the target class. Association rules learning is a well known method in the area of data-mining. It is used when dealing with large database for unsupervised discovery of local patterns that expresses hidden relationships between variables. In considering association rules from a supervised learning point of view, a relevant set of weak classifiers is obtained from which one derives a classification rule...

  13. Knowledge-Based Classification in Automated Soil Mapping

    Institute of Scientific and Technical Information of China (English)

    ZHOU BIN; WANG RENCHAO

    2003-01-01

    A machine-learning approach was developed for automated building of knowledge bases for soil resourcesmapping by using a classification tree to generate knowledge from training data. With this method, buildinga knowledge base for automated soil mapping was easier than using the conventional knowledge acquisitionapproach. The knowledge base built by classification tree was used by the knowledge classifier to perform thesoil type classification of Longyou County, Zhejiang Province, China using Landsat TM bi-temporal imagesand GIS data. To evaluate the performance of the resultant knowledge bases, the classification results werecompared to existing soil map based on a field survey. The accuracy assessment and analysis of the resultantsoil maps suggested that the knowledge bases built by the machine-learning method was of good quality formapping distribution model of soil classes over the study area.

  14. The paradox of atheoretical classification

    DEFF Research Database (Denmark)

    Hjørland, Birger

    2016-01-01

    A distinction can be made between “artificial classifications” and “natural classifications,” where artificial classifications may adequately serve some limited purposes, but natural classifications are overall most fruitful by allowing inference and thus many different purposes. There is strong...... support for the view that a natural classification should be based on a theory (and, of course, that the most fruitful theory provides the most fruitful classification). Nevertheless, atheoretical (or “descriptive”) classifications are often produced. Paradoxically, atheoretical classifications may...... be very successful. The best example of a successful “atheoretical” classification is probably the prestigious Diagnostic and Statistical Manual of Mental Disorders (DSM) since its third edition from 1980. Based on such successes one may ask: Should the claim that classifications ideally are natural...

  15. Information gathering for CLP classification.

    Science.gov (United States)

    Marcello, Ida; Giordano, Felice; Costamagna, Francesca Marina

    2011-01-01

    Regulation 1272/2008 includes provisions for two types of classification: harmonised classification and self-classification. The harmonised classification of substances is decided at Community level and a list of harmonised classifications is included in the Annex VI of the classification, labelling and packaging Regulation (CLP). If a chemical substance is not included in the harmonised classification list it must be self-classified, based on available information, according to the requirements of Annex I of the CLP Regulation. CLP appoints that the harmonised classification will be performed for carcinogenic, mutagenic or toxic to reproduction substances (CMR substances) and for respiratory sensitisers category 1 and for other hazard classes on a case-by-case basis. The first step of classification is the gathering of available and relevant information. This paper presents the procedure for gathering information and to obtain data. The data quality is also discussed.

  16. Information gathering for CLP classification

    Directory of Open Access Journals (Sweden)

    Ida Marcello

    2011-01-01

    Full Text Available Regulation 1272/2008 includes provisions for two types of classification: harmonised classification and self-classification. The harmonised classification of substances is decided at Community level and a list of harmonised classifications is included in the Annex VI of the classification, labelling and packaging Regulation (CLP. If a chemical substance is not included in the harmonised classification list it must be self-classified, based on available information, according to the requirements of Annex I of the CLP Regulation. CLP appoints that the harmonised classification will be performed for carcinogenic, mutagenic or toxic to reproduction substances (CMR substances and for respiratory sensitisers category 1 and for other hazard classes on a case-by-case basis. The first step of classification is the gathering of available and relevant information. This paper presents the procedure for gathering information and to obtain data. The data quality is also discussed.

  17. Bosniak Classification system

    DEFF Research Database (Denmark)

    Graumann, Ole; Osther, Susanne Sloth; Karstoft, Jens;

    2014-01-01

    . Purpose: To investigate the inter- and intra-observer agreement among experienced uroradiologists when categorizing complex renal cysts according to the Bosniak classification. Material and Methods: The original categories of 100 cystic renal masses were chosen as “Gold Standard” (GS), established...... to the calculated weighted κ all readers performed “very good” for both inter-observer and intra-observer variation. Most variation was seen in cysts catagorized as Bosniak II, IIF, and III. These results show that radiologists who evaluate complex renal cysts routinely may apply the Bosniak classification...

  18. Acoustic classification of dwellings

    DEFF Research Database (Denmark)

    Berardi, Umberto; Rasmussen, Birgit

    2014-01-01

    insulation performance, national schemes for sound classification of dwellings have been developed in several European countries. These schemes define acoustic classes according to different levels of sound insulation. Due to the lack of coordination among countries, a significant diversity in terms...... of descriptors, number of classes, and class intervals occurred between national schemes. However, a proposal “acoustic classification scheme for dwellings” has been developed recently in the European COST Action TU0901 with 32 member countries. This proposal has been accepted as an ISO work item. This paper...

  19. Classification of iconic images

    OpenAIRE

    Zrianina, Mariia; Kopf, Stephan

    2016-01-01

    Iconic images represent an abstract topic and use a presentation that is intuitively understood within a certain cultural context. For example, the abstract topic “global warming” may be represented by a polar bear standing alone on an ice floe. Such images are widely used in media and their automatic classification can help to identify high-level semantic concepts. This paper presents a system for the classification of iconic images. It uses a variation of the Bag of Visual Words approach wi...

  20. Classification problem in CBIR

    OpenAIRE

    Tatiana Jaworska

    2013-01-01

    At present a great deal of research is being done in different aspects of Content-Based Im-age Retrieval (CBIR). Image classification is one of the most important tasks in image re-trieval that must be dealt with. The primary issue we have addressed is: how can the fuzzy set theory be used to handle crisp image data. We propose fuzzy rule-based classification of image objects. To achieve this goal we have built fuzzy rule-based classifiers for crisp data. In this paper we present the results ...

  1. Latent classification models

    DEFF Research Database (Denmark)

    Langseth, Helge; Nielsen, Thomas Dyhre

    2005-01-01

    One of the simplest, and yet most consistently well-performing setof classifiers is the \\NB models. These models rely on twoassumptions: $(i)$ All the attributes used to describe an instanceare conditionally independent given the class of that instance,and $(ii)$ all attributes follow a specific...... parametric family ofdistributions.  In this paper we propose a new set of models forclassification in continuous domains, termed latent classificationmodels. The latent classification model can roughly be seen ascombining the \\NB model with a mixture of factor analyzers,thereby relaxing the assumptions...... classification model, and wedemonstrate empirically that the accuracy of the proposed model issignificantly higher than the accuracy of other probabilisticclassifiers....

  2. Minimum Error Entropy Classification

    CERN Document Server

    Marques de Sá, Joaquim P; Santos, Jorge M F; Alexandre, Luís A

    2013-01-01

    This book explains the minimum error entropy (MEE) concept applied to data classification machines. Theoretical results on the inner workings of the MEE concept, in its application to solving a variety of classification problems, are presented in the wider realm of risk functionals. Researchers and practitioners also find in the book a detailed presentation of practical data classifiers using MEE. These include multi‐layer perceptrons, recurrent neural networks, complexvalued neural networks, modular neural networks, and decision trees. A clustering algorithm using a MEE‐like concept is also presented. Examples, tests, evaluation experiments and comparison with similar machines using classic approaches, complement the descriptions.

  3. Constructing criticality by classification

    DEFF Research Database (Denmark)

    Machacek, Erika

    2017-01-01

    This paper explores the role of expertise, the nature of criticality, and their relationship to securitisation as mineral raw materials are classified. It works with the construction of risk along the liberal logic of security to explore how "key materials" are turned into "critical materials......, legitimizing a criticality discourse.Specifically, the paper introduces a typology delineating the inferences made by the experts from their produced recommendations in the classification of rare earth element criticality. The paper argues that the classification is a specific process of constructing risk...

  4. Tribal Green Building Toolkit

    Science.gov (United States)

    This Tribal Green Building Toolkit (Toolkit) is designed to help tribal officials, community members, planners, developers, and architects develop and adopt building codes to support green building practices. Anyone can use this toolkit!

  5. BUILDING 341 Seismic Evaluation

    Energy Technology Data Exchange (ETDEWEB)

    Halle, J. [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)

    2015-06-15

    The Seismic Evaluation of Building 341 located at Lawrence Livermore National Laboratory in Livermore, California has been completed. The subject building consists of a main building, Increment 1, and two smaller additions; Increments 2 and 3.

  6. Improved Two-Ways Classification for Agent Patterns

    Directory of Open Access Journals (Sweden)

    Wai Shiang Cheah

    2015-02-01

    Full Text Available Agent technology has been used in building various domain specific applications. The agent methodologies are proposed to aid the agent developer with the introduction of techniques, terminology, notation and guidelines during the development of the agent system. Alternatively, agent patterns have been introduced by sharing the experience of engineering the agent system and allow the novices to solve the problem in a more systematic and structured way. To ease the accessibility of agent patterns, various catalogs or pattern classifications have been introduced. The pattern classification allows the user to find the patterns by organizing the patterns within a particular catalog. To date, various styles of pattern classification have been introduced. We argue that those styles are still insufficient to classify the current pools of agent patterns. This paper presents a classification scheme for agent patterns. It is an improvement of the existing pattern classifications. The improved classification was able to classify 204 agent patterns, which indirectly will ease of pattern selection in multi agent system development. In addition, we show the usage of pattern classification in determine the quality of the agent patterns. In fact, it is the first report that shows the quality of the agent patterns to date.

  7. Green building: sustainable building quality; Green Building: nachhaltige Gebaeudequalitaet

    Energy Technology Data Exchange (ETDEWEB)

    Staub, R.

    2010-07-01

    This article takes a look at the 'Portikon' office building near Zurich, Switzerland, that meets the 'Minergie-P' very low energy consumption requirements. The author is of the opinion that the project can be seen as a reference project for sustainable building technology. The structure of the seven-storey building with a central atrium is described and discussed. The 'Minergie-P' energy concept is discussed, as are the 1,100 square meters of photovoltaic panels on the roof of the building. Heating energy is provided by Zurich's waste incineration plant nearby. Electro-biological aspects in the building are taken care of by appropriate earthing and shielding of cables. The building's facility management system and the installations used are briefly discussed.

  8. Objected-oriented remote sensing image classification method based on geographic ontology model

    Science.gov (United States)

    Chu, Z.; Liu, Z. J.; Gu, H. Y.

    2016-11-01

    Nowadays, with the development of high resolution remote sensing image and the wide application of laser point cloud data, proceeding objected-oriented remote sensing classification based on the characteristic knowledge of multi-source spatial data has been an important trend on the field of remote sensing image classification, which gradually replaced the traditional method through improving algorithm to optimize image classification results. For this purpose, the paper puts forward a remote sensing image classification method that uses the he characteristic knowledge of multi-source spatial data to build the geographic ontology semantic network model, and carries out the objected-oriented classification experiment to implement urban features classification, the experiment uses protégé software which is developed by Stanford University in the United States, and intelligent image analysis software—eCognition software as the experiment platform, uses hyperspectral image and Lidar data that is obtained through flight in DaFeng City of JiangSu as the main data source, first of all, the experiment uses hyperspectral image to obtain feature knowledge of remote sensing image and related special index, the second, the experiment uses Lidar data to generate nDSM(Normalized DSM, Normalized Digital Surface Model),obtaining elevation information, the last, the experiment bases image feature knowledge, special index and elevation information to build the geographic ontology semantic network model that implement urban features classification, the experiment results show that, this method is significantly higher than the traditional classification algorithm on classification accuracy, especially it performs more evidently on the respect of building classification. The method not only considers the advantage of multi-source spatial data, for example, remote sensing image, Lidar data and so on, but also realizes multi-source spatial data knowledge integration and application

  9. Danish building typologies

    DEFF Research Database (Denmark)

    Wittchen, Kim Bjarne; Kragh, Jesper

    The objective of TABULA is to develop a harmonised building typology for European countries. Each national building typology will consist of a set of residential model buildings with characteristic energy-related properties (element areas of the thermal building envelope, U-values, supply system...... efficiencies). The model buildings will each represent a specific construction period of the country in question and a specific building size. Furthermore the number of buildings, flats and the overall floor areas will be given, which are represented by the different building types of the national typologies....

  10. Danish building typologies

    DEFF Research Database (Denmark)

    Wittchen, Kim Bjarne; Kragh, Jesper

    The objective of TABULA is to develop a harmonised building typology for European countries. Each national building typology will consist of a set of residential model buildings with characteristic energy-related properties (element areas of the thermal building envelope, U-values, supply system...... efficiencies). The model buildings will each represent a specific construction period of the country in question and a specific building size. Furthermore the number of buildings, flats and the overall floor areas will be given, which are represented by the different building types of the national typologies....

  11. Danish building typologies and building stock analyses

    DEFF Research Database (Denmark)

    Wittchen, Kim Bjarne; Kragh, Jesper

    enough to meet the government’s plan to make Danish buildings free from use of fossil fuels by 2035. This will probably require around 50 % energy savings in the Danish building stock as a whole. However, the project has proven that dedicated engagement of locals can speed up market penetration...... energy savings in residential buildings. The intension with this analysis was to investigate the possible energy reduction in Denmark if the same approach had been taken for the entire Danish building stock. The report concludes that the ZeroHome initiative clearly results in energy savings, but far from...... for energy savings in the existing Building stock....

  12. Danish building typologies and building stock analyses

    DEFF Research Database (Denmark)

    Wittchen, Kim Bjarne; Kragh, Jesper

    energy savings in residential buildings. The intension with this analysis was to investigate the possible energy reduction in Denmark if the same approach had been taken for the entire Danish building stock. The report concludes that the ZeroHome initiative clearly results in energy savings, but far from...... enough to meet the government’s plan to make Danish buildings free from use of fossil fuels by 2035. This will probably require around 50 % energy savings in the Danish building stock as a whole. However, the project has proven that dedicated engagement of locals can speed up market penetration...... for energy savings in the existing Building stock....

  13. Body Piercing

    Science.gov (United States)

    ... most common body piercing. Other common places to pierce include the eyebrow, nose, tongue, lip, belly button, nipples, and genitals. Some people also pierce their ear cartilage (the hard part of the ...

  14. BODY CONDITION

    African Journals Online (AJOL)

    Andrew Taylor

    seasonal variation that could be used in management decisions. ... To assess muscle and fat content, the leg was completely separated into meat, bone, ..... The seasonal variation in body condition of mountain reedbuck can be explained by ...

  15. Shark Teeth Classification

    Science.gov (United States)

    Brown, Tom; Creel, Sally; Lee, Velda

    2009-01-01

    On a recent autumn afternoon at Harmony Leland Elementary in Mableton, Georgia, students in a fifth-grade science class investigated the essential process of classification--the act of putting things into groups according to some common characteristics or attributes. While they may have honed these skills earlier in the week by grouping their own…

  16. Sandwich classification theorem

    Directory of Open Access Journals (Sweden)

    Alexey Stepanov

    2015-09-01

    Full Text Available The present note arises from the author's talk at the conference ``Ischia Group Theory 2014''. For subgroups FleN of a group G denote by Lat(F,N the set of all subgroups of N , containing F . Let D be a subgroup of G . In this note we study the lattice LL=Lat(D,G and the lattice LL ′ of subgroups of G , normalized by D . We say that LL satisfies sandwich classification theorem if LL splits into a disjoint union of sandwiches Lat(F,N G (F over all subgroups F such that the normal closure of D in F coincides with F . Here N G (F denotes the normalizer of F in G . A similar notion of sandwich classification is introduced for the lattice LL ′ . If D is perfect, i.,e. coincides with its commutator subgroup, then it turns out that sandwich classification theorem for LL and LL ′ are equivalent. We also show how to find basic subroup F of sandwiches for LL ′ and review sandwich classification theorems in algebraic groups over rings.

  17. Dynamic Latent Classification Model

    DEFF Research Database (Denmark)

    Zhong, Shengtong; Martínez, Ana M.; Nielsen, Thomas Dyhre

    as possible. Motivated by this problem setting, we propose a generative model for dynamic classification in continuous domains. At each time point the model can be seen as combining a naive Bayes model with a mixture of factor analyzers (FA). The latent variables of the FA are used to capture the dynamics...... in the process as well as modeling dependences between attributes....

  18. An automated cirrus classification

    Science.gov (United States)

    Gryspeerdt, Edward; Quaas, Johannes; Sourdeval, Odran; Goren, Tom

    2017-04-01

    Cirrus clouds play an important role in determining the radiation budget of the earth, but our understanding of the lifecycle and controls on cirrus clouds remains incomplete. Cirrus clouds can have very different properties and development depending on their environment, particularly during their formation. However, the relevant factors often cannot be distinguished using commonly retrieved satellite data products (such as cloud optical depth). In particular, the initial cloud phase has been identified as an important factor in cloud development, but although back-trajectory based methods can provide information on the initial cloud phase, they are computationally expensive and depend on the cloud parametrisations used in re-analysis products. In this work, a classification system (Identification and Classification of Cirrus, IC-CIR) is introduced. Using re-analysis and satellite data, cirrus clouds are separated in four main types: frontal, convective, orographic and in-situ. The properties of these classes show that this classification is able to provide useful information on the properties and initial phase of cirrus clouds, information that could not be provided by instantaneous satellite retrieved cloud properties alone. This classification is designed to be easily implemented in global climate models, helping to improve future comparisons between observations and models and reducing the uncertainty in cirrus clouds properties, leading to improved cloud parametrisations.

  19. Classifications in popular music

    NARCIS (Netherlands)

    van Venrooij, A.; Schmutz, V.; Wright, J.D.

    2015-01-01

    The categorical system of popular music, such as genre categories, is a highly differentiated and dynamic classification system. In this article we present work that studies different aspects of these categorical systems in popular music. Following the work of Paul DiMaggio, we focus on four questio

  20. Nearest convex hull classification

    NARCIS (Netherlands)

    G.I. Nalbantov (Georgi); P.J.F. Groenen (Patrick); J.C. Bioch (Cor)

    2006-01-01

    textabstractConsider the classification task of assigning a test object to one of two or more possible groups, or classes. An intuitive way to proceed is to assign the object to that class, to which the distance is minimal. As a distance measure to a class, we propose here to use the distance to the

  1. Principles for ecological classification

    Science.gov (United States)

    Dennis H. Grossman; Patrick Bourgeron; Wolf-Dieter N. Busch; David T. Cleland; William Platts; G. Ray; C. Robins; Gary Roloff

    1999-01-01

    The principal purpose of any classification is to relate common properties among different entities to facilitate understanding of evolutionary and adaptive processes. In the context of this volume, it is to facilitate ecosystem stewardship, i.e., to help support ecosystem conservation and management objectives.

  2. Improving Student Question Classification

    Science.gov (United States)

    Heiner, Cecily; Zachary, Joseph L.

    2009-01-01

    Students in introductory programming classes often articulate their questions and information needs incompletely. Consequently, the automatic classification of student questions to provide automated tutorial responses is a challenging problem. This paper analyzes 411 questions from an introductory Java programming course by reducing the natural…

  3. Classification of waste packages

    Energy Technology Data Exchange (ETDEWEB)

    Mueller, H.P.; Sauer, M.; Rojahn, T. [Versuchsatomkraftwerk GmbH, Kahl am Main (Germany)

    2001-07-01

    A barrel gamma scanning unit has been in use at the VAK for the classification of radioactive waste materials since 1998. The unit provides the facility operator with the data required for classification of waste barrels. Once these data have been entered into the AVK data processing system, the radiological status of raw waste as well as pre-treated and processed waste can be tracked from the point of origin to the point at which the waste is delivered to a final storage. Since the barrel gamma scanning unit was commissioned in 1998, approximately 900 barrels have been measured and the relevant data required for classification collected and analyzed. Based on the positive results of experience in the use of the mobile barrel gamma scanning unit, the VAK now offers the classification of barrels as a service to external users. Depending upon waste quantity accumulation, this measurement unit offers facility operators a reliable and time-saving and cost-effective means of identifying and documenting the radioactivity inventory of barrels scheduled for final storage. (orig.)

  4. Event Classification using Concepts

    NARCIS (Netherlands)

    Boer, M.H.T. de; Schutte, K.; Kraaij, W.

    2013-01-01

    The semantic gap is one of the challenges in the GOOSE project. In this paper a Semantic Event Classification (SEC) system is proposed as an initial step in tackling the semantic gap challenge in the GOOSE project. This system uses semantic text analysis, multiple feature detectors using the BoW

  5. Munitions Classification Library

    Science.gov (United States)

    2016-04-04

    the MM and TEMTADS 2x2 systems , with dynamic data handling for these systems on the horizon. Using UX-Analyze, a data processor can apply physics ... classification libraries. DRAFT 4 2.0 TECHNOLOGY Three different sensor systems were used during the initial phase of the data collection: a modified...

  6. Recurrent neural collective classification.

    Science.gov (United States)

    Monner, Derek D; Reggia, James A

    2013-12-01

    With the recent surge in availability of data sets containing not only individual attributes but also relationships, classification techniques that take advantage of predictive relationship information have gained in popularity. The most popular existing collective classification techniques have a number of limitations-some of them generate arbitrary and potentially lossy summaries of the relationship data, whereas others ignore directionality and strength of relationships. Popular existing techniques make use of only direct neighbor relationships when classifying a given entity, ignoring potentially useful information contained in expanded neighborhoods of radius greater than one. We present a new technique that we call recurrent neural collective classification (RNCC), which avoids arbitrary summarization, uses information about relationship directionality and strength, and through recursive encoding, learns to leverage larger relational neighborhoods around each entity. Experiments with synthetic data sets show that RNCC can make effective use of relationship data for both direct and expanded neighborhoods. Further experiments demonstrate that our technique outperforms previously published results of several collective classification methods on a number of real-world data sets.

  7. Event Classification using Concepts

    NARCIS (Netherlands)

    Boer, M.H.T. de; Schutte, K.; Kraaij, W.

    2013-01-01

    The semantic gap is one of the challenges in the GOOSE project. In this paper a Semantic Event Classification (SEC) system is proposed as an initial step in tackling the semantic gap challenge in the GOOSE project. This system uses semantic text analysis, multiple feature detectors using the BoW mod

  8. Body Language

    Institute of Scientific and Technical Information of China (English)

    王芳

    2008-01-01

    @@ For Teachers: The Wordless Language Spoken by Everyone by Pamela Osment An old saying goes:"Actions speak louder than words."That's true according to communication experts.Some studies show that up to 90 percent of communication is nonverbal.Though you might say one thing,your body movements may indicate something entirely different.This nonverbal way of communicating is called body language.The Universal(通用的)Language

  9. Face classification using electronic synapses

    Science.gov (United States)

    Yao, Peng; Wu, Huaqiang; Gao, Bin; Eryilmaz, Sukru Burc; Huang, Xueyao; Zhang, Wenqiang; Zhang, Qingtian; Deng, Ning; Shi, Luping; Wong, H.-S. Philip; Qian, He

    2017-05-01

    Conventional hardware platforms consume huge amount of energy for cognitive learning due to the data movement between the processor and the off-chip memory. Brain-inspired device technologies using analogue weight storage allow to complete cognitive tasks more efficiently. Here we present an analogue non-volatile resistive memory (an electronic synapse) with foundry friendly materials. The device shows bidirectional continuous weight modulation behaviour. Grey-scale face classification is experimentally demonstrated using an integrated 1024-cell array with parallel online training. The energy consumption within the analogue synapses for each iteration is 1,000 × (20 ×) lower compared to an implementation using Intel Xeon Phi processor with off-chip memory (with hypothetical on-chip digital resistive random access memory). The accuracy on test sets is close to the result using a central processing unit. These experimental results consolidate the feasibility of analogue synaptic array and pave the way toward building an energy efficient and large-scale neuromorphic system.

  10. Efficient Fingercode Classification

    Science.gov (United States)

    Sun, Hong-Wei; Law, Kwok-Yan; Gollmann, Dieter; Chung, Siu-Leung; Li, Jian-Bin; Sun, Jia-Guang

    In this paper, we present an efficient fingerprint classification algorithm which is an essential component in many critical security application systems e. g. systems in the e-government and e-finance domains. Fingerprint identification is one of the most important security requirements in homeland security systems such as personnel screening and anti-money laundering. The problem of fingerprint identification involves searching (matching) the fingerprint of a person against each of the fingerprints of all registered persons. To enhance performance and reliability, a common approach is to reduce the search space by firstly classifying the fingerprints and then performing the search in the respective class. Jain et al. proposed a fingerprint classification algorithm based on a two-stage classifier, which uses a K-nearest neighbor classifier in its first stage. The fingerprint classification algorithm is based on the fingercode representation which is an encoding of fingerprints that has been demonstrated to be an effective fingerprint biometric scheme because of its ability to capture both local and global details in a fingerprint image. We enhance this approach by improving the efficiency of the K-nearest neighbor classifier for fingercode-based fingerprint classification. Our research firstly investigates the various fast search algorithms in vector quantization (VQ) and the potential application in fingerprint classification, and then proposes two efficient algorithms based on the pyramid-based search algorithms in VQ. Experimental results on DB1 of FVC 2004 demonstrate that our algorithms can outperform the full search algorithm and the original pyramid-based search algorithms in terms of computational efficiency without sacrificing accuracy.

  11. Use of Binary Partition Tree and energy minimization for object-based classification of urban land cover

    Science.gov (United States)

    Li, Mengmeng; Bijker, Wietske; Stein, Alfred

    2015-04-01

    Two main challenges are faced when classifying urban land cover from very high resolution satellite images: obtaining an optimal image segmentation and distinguishing buildings from other man-made objects. For optimal segmentation, this work proposes a hierarchical representation of an image by means of a Binary Partition Tree (BPT) and an unsupervised evaluation of image segmentations by energy minimization. For building extraction, we apply fuzzy sets to create a fuzzy landscape of shadows which in turn involves a two-step procedure. The first step is a preliminarily image classification at a fine segmentation level to generate vegetation and shadow information. The second step models the directional relationship between building and shadow objects to extract building information at the optimal segmentation level. We conducted the experiments on two datasets of Pléiades images from Wuhan City, China. To demonstrate its performance, the proposed classification is compared at the optimal segmentation level with Maximum Likelihood Classification and Support Vector Machine classification. The results show that the proposed classification produced the highest overall accuracies and kappa coefficients, and the smallest over-classification and under-classification geometric errors. We conclude first that integrating BPT with energy minimization offers an effective means for image segmentation. Second, we conclude that the directional relationship between building and shadow objects represented by a fuzzy landscape is important for building extraction.

  12. Assessment of Building Heights from Pléiades Satellite Imagery for ...

    African Journals Online (AJOL)

    Felix

    and classification of build-up structures, LIDAR based DSMs proved to be beneficial .... Vegetation Index (NDVI) (Rouse, 1974) was generated from the red and near- infrared bands. .... Pleiades System Architecture and main Performances.

  13. Auditory free classification of nonnative speech

    Science.gov (United States)

    Atagi, Eriko; Bent, Tessa

    2013-01-01

    Through experience with speech variability, listeners build categories of indexical speech characteristics including categories for talker, gender, and dialect. The auditory free classification task—a task in which listeners freely group talkers based on audio samples—has been a useful tool for examining listeners’ representations of some of these characteristics including regional dialects and different languages. The free classification task was employed in the current study to examine the perceptual representation of nonnative speech. The category structure and salient perceptual dimensions of nonnative speech were investigated from two perspectives: general similarity and perceived native language background. Talker intelligibility and whether native talkers were included were manipulated to test stimulus set effects. Results showed that degree of accent was a highly salient feature of nonnative speech for classification based on general similarity and on perceived native language background. This salience, however, was attenuated when listeners were listening to highly intelligible stimuli and attending to the talkers’ native language backgrounds. These results suggest that the context in which nonnative speech stimuli are presented—such as the listeners’ attention to the talkers’ native language and the variability of stimulus intelligibility—can influence listeners’ perceptual organization of nonnative speech. PMID:24363470

  14. Wing Classification in the Virtual Research Center

    Science.gov (United States)

    Campbell, William H.

    1999-01-01

    The Virtual Research Center (VRC) is a Web site that hosts a database of documents organized to allow teams of scientists and engineers to store and maintain documents. A number of other workgroup-related capabilities are provided. My tasks as a NASA/ASEE Summer Faculty Fellow included developing a scheme for classifying the workgroups using the VRC using the various Divisions within NASA Enterprises. To this end I developed a plan to use several CGI Perl scripts to gather classification information from the leaders of the workgroups, and to display all the workgroups within a specified classification. I designed, implemented, and partially tested scripts which can be used to do the classification. I was also asked to consider directions for future development of the VRC. I think that the VRC can use XML to advantage. XML is a markup language with designer tags that can be used to build meaning into documents. An investigation as to how CORBA, an object-oriented object request broker included with JDK 1.2, might be used also seems justified.

  15. Auditory free classification of nonnative speech.

    Science.gov (United States)

    Atagi, Eriko; Bent, Tessa

    2013-11-01

    Through experience with speech variability, listeners build categories of indexical speech characteristics including categories for talker, gender, and dialect. The auditory free classification task-a task in which listeners freely group talkers based on audio samples-has been a useful tool for examining listeners' representations of some of these characteristics including regional dialects and different languages. The free classification task was employed in the current study to examine the perceptual representation of nonnative speech. The category structure and salient perceptual dimensions of nonnative speech were investigated from two perspectives: general similarity and perceived native language background. Talker intelligibility and whether native talkers were included were manipulated to test stimulus set effects. Results showed that degree of accent was a highly salient feature of nonnative speech for classification based on general similarity and on perceived native language background. This salience, however, was attenuated when listeners were listening to highly intelligible stimuli and attending to the talkers' native language backgrounds. These results suggest that the context in which nonnative speech stimuli are presented-such as the listeners' attention to the talkers' native language and the variability of stimulus intelligibility-can influence listeners' perceptual organization of nonnative speech.

  16. Segmentation of human upper body movement using multiple IMU sensors.

    Science.gov (United States)

    Aoki, Takashi; Lin, Jonathan Feng-Shun; Kulic, Dana; Venture, Gentiane

    2016-08-01

    This paper proposes an approach for the segmentation of human body movements measured by inertial measurement unit sensors. Using the angular velocity and linear acceleration measurements directly, without converting to joint angles, we perform segmentation by formulating the problem as a classification problem, and training a classifier to differentiate between motion end-point and within-motion points. The proposed approach is validated with experiments measuring the upper body movement during reaching tasks, demonstrating classification accuracy of over 85.8%.

  17. AUOTOMATIC CLASSIFICATION OF POINT CLOUDS EXTRACTED FROM ULTRACAM STEREO IMAGES

    Directory of Open Access Journals (Sweden)

    M. Modiri

    2015-12-01

    Full Text Available Automatic extraction of building roofs, street and vegetation are a prerequisite for many GIS (Geographic Information System applications, such as urban planning and 3D building reconstruction. Nowadays with advances in image processing and image matching technique by using feature base and template base image matching technique together dense point clouds are available. Point clouds classification is an important step in automatic features extraction. Therefore, in this study, the classification of point clouds based on features color and shape are implemented. We use two images by proper overlap getting by Ultracam-x camera in this study. The images are from Yasouj in IRAN. It is semi-urban area by building with different height. Our goal is classification buildings and vegetation in these points. In this article, an algorithm is developed based on the color characteristics of the point’s cloud, using an appropriate DEM (Digital Elevation Model and points clustering method. So that, firstly, trees and high vegetation are classified by using the point’s color characteristics and vegetation index. Then, bare earth DEM is used to separate ground and non-ground points. Non-ground points are then divided into clusters based on height and local neighborhood. One or more clusters are initialized based on the maximum height of the points and then each cluster is extended by applying height and neighborhood constraints. Finally, planar roof segments are extracted from each cluster of points following a region-growing technique.

  18. Auotomatic Classification of Point Clouds Extracted from Ultracam Stereo Images

    Science.gov (United States)

    Modiri, M.; Masumi, M.; Eftekhari, A.

    2015-12-01

    Automatic extraction of building roofs, street and vegetation are a prerequisite for many GIS (Geographic Information System) applications, such as urban planning and 3D building reconstruction. Nowadays with advances in image processing and image matching technique by using feature base and template base image matching technique together dense point clouds are available. Point clouds classification is an important step in automatic features extraction. Therefore, in this study, the classification of point clouds based on features color and shape are implemented. We use two images by proper overlap getting by Ultracam-x camera in this study. The images are from Yasouj in IRAN. It is semi-urban area by building with different height. Our goal is classification buildings and vegetation in these points. In this article, an algorithm is developed based on the color characteristics of the point's cloud, using an appropriate DEM (Digital Elevation Model) and points clustering method. So that, firstly, trees and high vegetation are classified by using the point's color characteristics and vegetation index. Then, bare earth DEM is used to separate ground and non-ground points. Non-ground points are then divided into clusters based on height and local neighborhood. One or more clusters are initialized based on the maximum height of the points and then each cluster is extended by applying height and neighborhood constraints. Finally, planar roof segments are extracted from each cluster of points following a region-growing technique.

  19. Global building physics

    DEFF Research Database (Denmark)

    Rode, Carsten

    2013-01-01

    High ambitions are set for the building physics performance of buildings today. No single technology can achieve fulfilment of these ambitions alone. Integrated, multi-facetted solutions and optimization are necessary. A holistic, or ‘global’, technological perspective is needed, which includes all...... aspects of the building as defined in building engineering. We live in an international society and building solutions are developed across country borders. Building physics is a global theme. The International Association of Building Physics has global appeal. This brief article reports the keynote...

  20. Global Building Physics

    DEFF Research Database (Denmark)

    Rode, Carsten

    2012-01-01

    High ambitions are set for the building physics performance of buildings today. No single technology can achieve fulfilment of these ambitions alone. Integrated, multi-facetted solutions and optimization are necessary. A holistic, or “global”, technological perspective is needed, which includes all...... aspects of the building as defined in building engineering. We live in an international society and building solutions are developed across country borders. Building physics is a global theme. The International Association of Building Physics has global appeal. The keynote lecture and this brief paper...

  1. ICT Enhanced Buildings Potentials

    DEFF Research Database (Denmark)

    Christiansson, Per

    2007-01-01

    with focus on virtual building models support, new services and user environment definitions and development, virtual spaces and augmented reality, intelligent building components, application ontologies, and ICT systems integration to illustrate ICT enhanced buildings potentials and R&D needs.  ...... component systems that are accessed and integrated in the real world of building use in different contexts. The ICT systems may be physically or virtually embedded in the building. Already in 1982 AT&T established the 'intelligent buildings', IB, concept due to marketing reasons and the Informart building...

  2. Body Imaging

    Science.gov (United States)

    2001-01-01

    The high-tech art of digital signal processing (DSP) was pioneered at NASA's Jet Propulsion Laboratory (JPL) in the mid-1960s for use in the Apollo Lunar Landing Program. Designed to computer enhance pictures of the Moon, this technology became the basis for the Landsat Earth resources satellites and subsequently has been incorporated into a broad range of Earthbound medical and diagnostic tools. DSP is employed in advanced body imaging techniques including Computer-Aided Tomography, also known as CT and CATScan, and Magnetic Resonance Imaging (MRI). CT images are collected by irradiating a thin slice of the body with a fan-shaped x-ray beam from a number of directions around the body's perimeter. A tomographic (slice-like) picture is reconstructed from these multiple views by a computer. MRI employs a magnetic field and radio waves, rather than x-rays, to create images.

  3. Signifying Bodies

    DEFF Research Database (Denmark)

     In our everyday lives we strive to stay healthy and happy, while we live as our selves, engage with each other, and discover an infinite world of possibilities. Health arises and diminishes as human beings draw on a vibrant ecology of actions, interactions and coactions. Intricate processes...... of biosemiosis connect signifying bodies with their natural surroundings, cultural activities and subjective experiences. Health stretches all the way from the ecosocial surroundings, through the skin and into the self-organizing processes of every living cell. Signifying Bodies lays out a new approach to health...... and health care. Eschewing all forms of dualism, the authors emphasise the interdependency of how we act, think, feel and function. They advocate a relational turn in health care, in which bodies live and learn from suffering and care. In this view, health is inseparable from both living beings...

  4. Co-occurrence Models in Music Genre Classification

    DEFF Research Database (Denmark)

    Ahrendt, Peter; Goutte, Cyril; Larsen, Jan

    2005-01-01

    Music genre classification has been investigated using many different methods, but most of them build on probabilistic models of feature vectors x\\_r which only represent the short time segment with index r of the song. Here, three different co-occurrence models are proposed which instead consider...... genre data set with a variety of modern music. The basis was a so-called AR feature representation of the music. Besides the benefit of having proper probabilistic models of the whole song, the lowest classification test errors were found using one of the proposed models....

  5. About decomposition approach for solving the classification problem

    Science.gov (United States)

    Andrianova, A. A.

    2016-11-01

    This article describes the features of the application of an algorithm with using of decomposition methods for solving the binary classification problem of constructing a linear classifier based on Support Vector Machine method. Application of decomposition reduces the volume of calculations, in particular, due to the emerging possibilities to build parallel versions of the algorithm, which is a very important advantage for the solution of problems with big data. The analysis of the results of computational experiments conducted using the decomposition approach. The experiment use known data set for binary classification problem.

  6. Physics of the Human Body

    CERN Document Server

    Herman, Irving P

    2007-01-01

    Physics of the Human Body comprehensively addresses the physical and engineering aspects of human physiology by using and building on first-year college physics and mathematics. Topics include the mechanics of the static body and the body in motion, the materials properties of the body, muscles in the body, the energetics of body metabolism, fluid flow in the cardiovascular and respiratory systems, the acoustics of sound waves in speaking and hearing, vision and the optics of the eye, the electrical properties of the body, and the basic engineering principles of feedback and control in regulating all aspects of function. The goal of this text is to understand physical issues concerning the human body, in part by developing and then using simple and subsequently more refined models of the macrophysics of the human body. Many chapters include a brief review of the necessary physical principles. There are problems at the end of each chapter; solutions to selected problems are also provided. This text is geared t...

  7. Bosniak classification system

    DEFF Research Database (Denmark)

    Graumann, Ole; Osther, Susanne Sloth; Karstoft, Jens;

    2016-01-01

    at MR and CEUS imaging and those at CT. PURPOSE: To compare diagnostic accuracy of MR, CEUS, and CT when categorizing complex renal cystic masses according to the Bosniak classification. MATERIAL AND METHODS: From February 2011 to June 2012, 46 complex renal cysts were prospectively evaluated by three...... readers. Each mass was categorized according to the Bosniak classification and CT was chosen as gold standard. Kappa was calculated for diagnostic accuracy and data was compared with pathological results. RESULTS: CT images found 27 BII, six BIIF, seven BIII, and six BIV. Forty-three cysts could...... one category lower. Pathologic correlation in six lesions revealed four malignant and two benign lesions. CONCLUSION: CEUS and MR both up- and downgraded renal cysts compared to CT, and until these non-radiation modalities have been refined and adjusted, CT should remain the gold standard...

  8. BIRADS classification in mammography.

    Science.gov (United States)

    Balleyguier, Corinne; Ayadi, Salma; Van Nguyen, Kim; Vanel, Daniel; Dromain, Clarisse; Sigal, Robert

    2007-02-01

    The Breast Imaging Report and Data System (BIRADS) of the American College of Radiology (ACR) is today largely used in most of the countries where breast cancer screening is implemented. It is a tool defined to reduce variability between radiologists when creating the reports in mammography, ultrasonography or MRI. Some changes in the last version of the BIRADStrade mark have been included to reduce the inaccuracy of some categories, especially for category 4. The BIRADStrade mark includes a lexicon and descriptive diagrams of the anomalies, recommendations for the mammographic report as well as councils and examples of mammographic cases. This review describes the mammographic items of the BIRADS classification with its more recent developments, while detailing the advantages and limits of this classification.

  9. [New classification of vasculitis].

    Science.gov (United States)

    Anić, Branimir

    2014-01-01

    Vasculitis syndrome comprises a heterogenic group of inflammatory rheumatic diseases whose common feature is inflammation in the blood vessel wall. Establishing the diagnosis of vasculitis is one of the greatest challenges in medicine. Clinical presentation of vasculitis depends on the extent of an organ system affection, as well as on the total number of affected organs. A great range of clinical presentations of vasculitis and the low incidence of the disease impede systematic clinical investigation of vasculitis. The needs of clinical routine and the need for conducting systemic clinical investigations require a clear distinction of individual clinical entities. Different classifications of vasculitis syndrome have been proposed: according to etiology, pathogenesis, histological finding in the affected vessels, affection of individual organs and organ systems. This paper presents and comments news and recent classifications and nomenclature of vasculitic entities proposed at the second conference in Chapel Hill.

  10. Hand eczema classification

    DEFF Research Database (Denmark)

    Diepgen, T L; Andersen, Klaus Ejner; Brandao, F M;

    2008-01-01

    Summary Background Hand eczema is a long-lasting disease with a high prevalence in the background population. The disease has severe, negative effects on quality of life and sometimes on social status. Epidemiological studies have identified risk factors for onset and prognosis, but treatment...... of the disease is rarely evidence based, and a classification system for different subdiagnoses of hand eczema is not agreed upon. Randomized controlled trials investigating the treatment of hand eczema are called for. For this, as well as for clinical purposes, a generally accepted classification system...... for hand eczema is needed. Objectives The present study attempts to characterize subdiagnoses of hand eczema with respect to basic demographics, medical history and morphology. Methods Clinical data from 416 patients with hand eczema from 10 European patch test clinics were assessed. Results...

  11. Multilingual documentation and classification.

    Science.gov (United States)

    Donnelly, Kevin

    2008-01-01

    Health care providers around the world have used classification systems for decades as a basis for documentation, communications, statistical reporting, reimbursement and research. In more recent years machine-readable medical terminologies have taken on greater importance with the adoption of electronic health records and the need for greater granularity of data in clinical systems. Use of a clinical terminology harmonised with classifications, implemented within a clinical information system, will enable the delivery of many patient health benefits including electronic clinical decision support, disease screening and enhanced patient safety. In order to be usable these systems must be translated into the language of use, without losing meaning. It is evident that today one system cannot meet all requirements which call for collaboration and harmonisation in order to achieve true interoperability on a multilingual basis.

  12. Sound classification of dwellings

    DEFF Research Database (Denmark)

    Rasmussen, Birgit

    2012-01-01

    dwellings, facade sound insulation and installation noise. The schemes have been developed, implemented and revised gradually since the early 1990s. However, due to lack of coordination between countries, there are significant discrepancies, and new standards and revisions continue to increase the diversity....... Descriptors, range of quality levels, number of quality classes, class intervals, denotations and descriptions vary across Europe. The diversity is an obstacle for exchange of experience about constructions fulfilling different classes, implying also trade barriers. Thus, a harmonized classification scheme...... is needed, and a European COST Action TU0901 "Integrating and Harmonizing Sound Insulation Aspects in Sustainable Urban Housing Constructions", has been established and runs 2009-2013, one of the main objectives being to prepare a proposal for a European sound classification scheme with a number of quality...

  13. Body Rainbow

    Institute of Scientific and Technical Information of China (English)

    2014-01-01

    Phubu did not know how long hehad walked after leaving Baxoi, buthe did know that he was halfwaybetween home and Lhasa. Feelingthe weight of the sack containingPhumo's body on his back, Fhubuhad calmed down from the grief anddesperation. He had just one wish:to carry Phumo to Lhasa. He knewthat Phumo had gone, and her soulwas no longer in this body. But hewas determined to finish the trip, notonly because he had promised so, butalso that he believed that it would beredemption for him.

  14. Body parts

    Science.gov (United States)

    Ayiter, Elif

    2010-01-01

    In this project, the artist wishes to examine corporeality in the virtual realm, through the usage of the (non)-physical body of the avatar. An art installation created in the virtual world of Second Life, which is meant to be accessed with site specific avatars, will provide the creative platform whereby this investigation is undertaken. Thus, "body parts" seeks to challenge the residents of virtual environments into connecting with the virtual manifestations, i.e., avatars of others in an emotionally expressive/intimate manner.

  15. THE LOW BACKSCATTERING TARGETS CLASSIFICATION IN URBAN AREAS

    Directory of Open Access Journals (Sweden)

    L. Shi

    2012-07-01

    Full Text Available The Polarimetric and Interferometric Synthetic Aperture Radar (POLINSAR is widely used in urban area nowadays. Because of the physical and geometric sensitivity, the POLINSAR is suitable for the city classification, power-lines detection, building extraction, etc. As the new X-band POLINSAR radar, the china prototype airborne system, XSAR works with high spatial resolution in azimuth (0.1 m and slant range (0.4 m. In land applications, SAR image classification is a useful tool to distinguish the interesting area and obtain the target information. The bare soil, the cement road, the water and the building shadow are common scenes in the urban area. As it always exists low backscattering sign objects (LBO with the similar scattering mechanism (all odd bounce except for shadow in the XSAR images, classes are usually confused in Wishart-H-Alpha and Freeman-Durden methods. It is very hard to distinguish those targets only using the general information. To overcome the shortage, this paper explores an improved algorithm for LBO refined classification based on the Pre-Classification in urban areas. Firstly, the Pre-Classification is applied in the polarimetric datum and the mixture class is marked which contains LBO. Then, the polarimetric covariance matrix C3 is re-estimated on the Pre-Classification results to get more reliable results. Finally, the occurrence space which combining the entropy and the phase-diff standard deviation between HH and VV channel is used to refine the Pre-Classification results. The XSAR airborne experiments show the improved method is potential to distinguish the mixture classes in the low backscattering objects.

  16. 普通高校健美操选项课学生学习动机及影响因素分析研究%Motives and Factors that Work upon the College Students who Tend to Learn Body-building Exercises

    Institute of Scientific and Technical Information of China (English)

    杨榕斌

    2011-01-01

    采用文献资料法、问卷调查法、数理统计法等方法,对促使高校学生参与健美操运动的动机及其影响因素进行了调查分析,找出健美操选项课学生参与健美操运动的动机及影响因素,为高校体育课程改革提供科学的参考依据。%Based on documentary,inquiry by questionnaire and statistics,the motives and factors that work upon the college students who tend to learn body-building exercises are analyzed and the important ones are found to push ahead the reform of college PE coures.

  17. Automatic 3D Extraction of Buildings, Vegetation and Roads from LIDAR Data

    Directory of Open Access Journals (Sweden)

    A. Bellakaout

    2016-06-01

    A second algorithm is developed to segment the uniform surface into buildings roofs, roads and ground, the second phase of classification based on the topological relationship and height variation analysis, The proposed approach has been tested using two areas : the first is a housing complex and the second is a primary school. The proposed approach led to successful classification results of buildings, vegetation and road classes.

  18. Classification and regression trees

    CERN Document Server

    Breiman, Leo; Olshen, Richard A; Stone, Charles J

    1984-01-01

    The methodology used to construct tree structured rules is the focus of this monograph. Unlike many other statistical procedures, which moved from pencil and paper to calculators, this text's use of trees was unthinkable before computers. Both the practical and theoretical sides have been developed in the authors' study of tree methods. Classification and Regression Trees reflects these two sides, covering the use of trees as a data analysis method, and in a more mathematical framework, proving some of their fundamental properties.

  19. Robust Vertex Classification

    OpenAIRE

    Chen, Li; Shen, Cencheng; Vogelstein, Joshua; Priebe, Carey

    2013-01-01

    For random graphs distributed according to stochastic blockmodels, a special case of latent position graphs, adjacency spectral embedding followed by appropriate vertex classification is asymptotically Bayes optimal; but this approach requires knowledge of and critically depends on the model dimension. In this paper, we propose a sparse representation vertex classifier which does not require information about the model dimension. This classifier represents a test vertex as a sparse combinatio...

  20. Evolvement of Classification Society

    Institute of Scientific and Technical Information of China (English)

    Xu Hua

    2011-01-01

    As an independent industry, the emergence of the classification society was perhaps the demand of beneficial interests between shipowners, cargo owners and insurers at the earliest time. Today, as an indispensable link of the international maritime industry, class role has changed fundamentally. Start off from the demand of the insurersSeaborne trade, transport and insurance industries began to emerge successively in the 17th century. The massive risk and benefit brought by seaborne transport provided a difficult problem to insurers.

  1. Towards secondary fingerprint classification

    CSIR Research Space (South Africa)

    Msiza, IS

    2011-07-01

    Full Text Available . INTRODUCTION The classification of samples in an automated recognition system is primarily important because of the need to virtually divide the template database into smaller, manageable parti- tions. This virtual division is done before executing a... database search procedure, and it is done in order to avoid having to search the entire template database and, for this reason, minimize the database search time and improve the overall performance of an automated recognition system. Sample...

  2. Semiparametric Gaussian copula classification

    OpenAIRE

    Zhao, Yue; Wegkamp, Marten

    2014-01-01

    This paper studies the binary classification of two distributions with the same Gaussian copula in high dimensions. Under this semiparametric Gaussian copula setting, we derive an accurate semiparametric estimator of the log density ratio, which leads to our empirical decision rule and a bound on its associated excess risk. Our estimation procedure takes advantage of the potential sparsity as well as the low noise condition in the problem, which allows us to achieve faster convergence rate of...

  3. Classification of myocardial infarction

    DEFF Research Database (Denmark)

    Saaby, Lotte; Poulsen, Tina Svenstrup; Hosbond, Susanne Elisabeth

    2013-01-01

    The classification of myocardial infarction into 5 types was introduced in 2007 as an important component of the universal definition. In contrast to the plaque rupture-related type 1 myocardial infarction, type 2 myocardial infarction is considered to be caused by an imbalance between demand...... and supply of oxygen in the myocardium. However, no specific criteria for type 2 myocardial infarction have been established....

  4. Decimal Classification Editions

    Directory of Open Access Journals (Sweden)

    Zenovia Niculescu

    2009-01-01

    Full Text Available The study approaches the evolution of Dewey Decimal Classification editions from the perspective of updating the terminology, reallocating and expanding the main and auxilary structure of Dewey indexing language. The comparative analysis of DDC editions emphasizes the efficiency of Dewey scheme from the point of view of improving the informational offer, through basic index terms, revised and developed, as well as valuing the auxilary notations.

  5. The paradox of atheoretical classification

    DEFF Research Database (Denmark)

    Hjørland, Birger

    2016-01-01

    A distinction can be made between “artificial classifications” and “natural classifications,” where artificial classifications may adequately serve some limited purposes, but natural classifications are overall most fruitful by allowing inference and thus many different purposes. There is strong...... be very successful. The best example of a successful “atheoretical” classification is probably the prestigious Diagnostic and Statistical Manual of Mental Disorders (DSM) since its third edition from 1980. Based on such successes one may ask: Should the claim that classifications ideally are natural...

  6. Classification of Meteorological Drought

    Institute of Scientific and Technical Information of China (English)

    Zhang Qiang; Zou Xukai; Xiao Fengjin; Lu Houquan; Liu Haibo; Zhu Changhan; An Shunqing

    2011-01-01

    Background The national standard of the Classification of Meteorological Drought (GB/T 20481-2006) was developed by the National Climate Center in cooperation with Chinese Academy of Meteorological Sciences,National Meteorological Centre and Department of Forecasting and Disaster Mitigation under the China Meteorological Administration (CMA),and was formally released and implemented in November 2006.In 2008,this Standard won the second prize of the China Standard Innovation and Contribution Awards issued by SAC.Developed through independent innovation,it is the first national standard published to monitor meteorological drought disaster and the first standard in China and around the world specifying the classification of drought.Since its release in 2006,the national standard of Classification of Meteorological Drought has been used by CMA as the operational index to monitor and drought assess,and gradually used by provincial meteorological sureaus,and applied to the drought early warning release standard in the Methods of Release and Propagation of Meteorological Disaster Early Warning Signal.

  7. Neuromuscular disease classification system

    Science.gov (United States)

    Sáez, Aurora; Acha, Begoña; Montero-Sánchez, Adoración; Rivas, Eloy; Escudero, Luis M.; Serrano, Carmen

    2013-06-01

    Diagnosis of neuromuscular diseases is based on subjective visual assessment of biopsies from patients by the pathologist specialist. A system for objective analysis and classification of muscular dystrophies and neurogenic atrophies through muscle biopsy images of fluorescence microscopy is presented. The procedure starts with an accurate segmentation of the muscle fibers using mathematical morphology and a watershed transform. A feature extraction step is carried out in two parts: 24 features that pathologists take into account to diagnose the diseases and 58 structural features that the human eye cannot see, based on the assumption that the biopsy is considered as a graph, where the nodes are represented by each fiber, and two nodes are connected if two fibers are adjacent. A feature selection using sequential forward selection and sequential backward selection methods, a classification using a Fuzzy ARTMAP neural network, and a study of grading the severity are performed on these two sets of features. A database consisting of 91 images was used: 71 images for the training step and 20 as the test. A classification error of 0% was obtained. It is concluded that the addition of features undetectable by the human visual inspection improves the categorization of atrophic patterns.

  8. Environmental Radiation Hazards of Building Materials

    Directory of Open Access Journals (Sweden)

    Amal A. Nasser

    2012-11-01

    Full Text Available In the last few decades, the importance of studying the environmental impact of building material properties grew. The main focus was to study physical, mechanical and chemical characteristics of building materials. Buildings are the environment that a human spend about 80% of his life. Human exposure to radiation doses emerging from natural and manufactured building materials caused serious diseases. The hazard of radiation doses on human body, especially Radon, was discovered. Radon is produced of the radioactive decay of Uranium and Thorium series. It is a colorless, odorless and tasteless gas. It inters human body by breathing and produces harmful radioactive elements. It has become a goal to know the limits of safety for building materials and to establish green buildings. Health and environmental risks have to take first command in the construction field to take proper precautions to ward off risks. Radon emission was investigated. The radioactive concentration of indoor air may be decreased under the permissible doses by the building geometry variation and other ways as reviewed in this investigation.

  9. Tensor classification of structure in smoothed particle hydrodynamics density fields

    CERN Document Server

    Forgan, Duncan; Lucas, William; Rice, Ken

    2016-01-01

    As hydrodynamic simulations increase in scale and resolution, identifying structures with non-trivial geometries or regions of general interest becomes increasingly challenging. There is a growing need for algorithms that identify a variety of different features in a simulation without requiring a "by-eye" search. We present tensor classification as such a technique for smoothed particle hydrodynamics (SPH). These methods have already been used to great effect in N-Body cosmological simulations, which require smoothing defined as an input free parameter. We show that tensor classification successfully identifies a wide range of structures in SPH density fields using its native smoothing, removing a free parameter from the analysis and preventing the need for tesselation of the density field, as required by some classification algorithms. As examples, we show that tensor classification using the tidal tensor and the velocity shear tensor successfully identifies filaments, shells and sheet structures in giant m...

  10. Land Cover and Land Use Classification with TWOPAC: towards Automated Processing for Pixel- and Object-Based Image Classification

    Directory of Open Access Journals (Sweden)

    Stefan Dech

    2012-09-01

    Full Text Available We present a novel and innovative automated processing environment for the derivation of land cover (LC and land use (LU information. This processing framework named TWOPAC (TWinned Object and Pixel based Automated classification Chain enables the standardized, independent, user-friendly, and comparable derivation of LC and LU information, with minimized manual classification labor. TWOPAC allows classification of multi-spectral and multi-temporal remote sensing imagery from different sensor types. TWOPAC enables not only pixel-based classification, but also allows classification based on object-based characteristics. Classification is based on a Decision Tree approach (DT for which the well-known C5.0 code has been implemented, which builds decision trees based on the concept of information entropy. TWOPAC enables automatic generation of the decision tree classifier based on a C5.0-retrieved ascii-file, as well as fully automatic validation of the classification output via sample based accuracy assessment.Envisaging the automated generation of standardized land cover products, as well as area-wide classification of large amounts of data in preferably a short processing time, standardized interfaces for process control, Web Processing Services (WPS, as introduced by the Open Geospatial Consortium (OGC, are utilized. TWOPAC’s functionality to process geospatial raster or vector data via web resources (server, network enables TWOPAC’s usability independent of any commercial client or desktop software and allows for large scale data processing on servers. Furthermore, the components of TWOPAC were built-up using open source code components and are implemented as a plug-in for Quantum GIS software for easy handling of the classification process from the user’s perspective.

  11. Short Text Classification: A Survey

    Directory of Open Access Journals (Sweden)

    Ge Song

    2014-05-01

    Full Text Available With the recent explosive growth of e-commerce and online communication, a new genre of text, short text, has been extensively applied in many areas. So many researches focus on short text mining. It is a challenge to classify the short text owing to its natural characters, such as sparseness, large-scale, immediacy, non-standardization. It is difficult for traditional methods to deal with short text classification mainly because too limited words in short text cannot represent the feature space and the relationship between words and documents. Several researches and reviews on text classification are shown in recent times. However, only a few of researches focus on short text classification. This paper discusses the characters of short text and the difficulty of short text classification. Then we introduce the existing popular works on short text classifiers and models, including short text classification using sematic analysis, semi-supervised short text classification, ensemble short text classification, and real-time classification. The evaluations of short text classification are analyzed in our paper. Finally we summarize the existing classification technology and prospect for development trend of short text classification

  12. Maximum mutual information regularized classification

    KAUST Repository

    Wang, Jim Jing-Yan

    2014-09-07

    In this paper, a novel pattern classification approach is proposed by regularizing the classifier learning to maximize mutual information between the classification response and the true class label. We argue that, with the learned classifier, the uncertainty of the true class label of a data sample should be reduced by knowing its classification response as much as possible. The reduced uncertainty is measured by the mutual information between the classification response and the true class label. To this end, when learning a linear classifier, we propose to maximize the mutual information between classification responses and true class labels of training samples, besides minimizing the classification error and reducing the classifier complexity. An objective function is constructed by modeling mutual information with entropy estimation, and it is optimized by a gradient descend method in an iterative algorithm. Experiments on two real world pattern classification problems show the significant improvements achieved by maximum mutual information regularization.

  13. Body Language.

    Science.gov (United States)

    Pollard, David E.

    1993-01-01

    Discusses how the use of body language in Chinese fiction strikes most Westerners as unusual, if not strange. Considers that, although this may be the result of differences in gestures or different conventions in fiction, it is a problem for translators, who handle the differences by various strategies, e.g., omission or expansion. (NKA)

  14. Ethnicity prediction and classification from iris texture patterns: A survey on recent advances

    CSIR Research Space (South Africa)

    Mabuza-Hocquet, Gugulethu

    2017-03-01

    Full Text Available The prediction and classification of ethnicity based on iris texture patterns using image processing, artificial intelligence and computer vision techniques is still a recent topic in iris biometrics. While the large body of knowledge and research...

  15. Cascaded deep decision networks for classification of endoscopic images

    Science.gov (United States)

    Murthy, Venkatesh N.; Singh, Vivek; Sun, Shanhui; Bhattacharya, Subhabrata; Chen, Terrence; Comaniciu, Dorin

    2017-02-01

    Both traditional and wireless capsule endoscopes can generate tens of thousands of images for each patient. It is desirable to have the majority of irrelevant images filtered out by automatic algorithms during an offline review process or to have automatic indication for highly suspicious areas during an online guidance. This also applies to the newly invented endomicroscopy, where online indication of tumor classification plays a significant role. Image classification is a standard pattern recognition problem and is well studied in the literature. However, performance on the challenging endoscopic images still has room for improvement. In this paper, we present a novel Cascaded Deep Decision Network (CDDN) to improve image classification performance over standard Deep neural network based methods. During the learning phase, CDDN automatically builds a network which discards samples that are classified with high confidence scores by a previously trained network and concentrates only on the challenging samples which would be handled by the subsequent expert shallow networks. We validate CDDN using two different types of endoscopic imaging, which includes a polyp classification dataset and a tumor classification dataset. From both datasets we show that CDDN can outperform other methods by about 10%. In addition, CDDN can also be applied to other image classification problems.

  16. Assessing obesity: classification and epidemiology.

    Science.gov (United States)

    Seidell, J C; Flegal, K M

    1997-01-01

    Obesity is generally defined as a body mass index (BMI) of 30 kg/m2 and higher. Overweight is defined as a BMI between 25 and 30 kg/m2. The prevalence varies considerably between countries, and between regions within countries. It is estimated that more than half of adults aged 35-65 living in Europe are either overweight or obese. Overweight is more common among men than among women but obesity is more common among women. The prevalence of obesity in Europe is probably in the order of 10-20% in men and 15-25% in adult women. In most European countries who have reliable data on time-trends the prevalence of obesity seems to be increasing. In most European countries, obesity is usually inversely associated with socio-economic status, particularly among women. New classifications of overweight may be based on cut-off points for simple anthropometric measures which reflects both total adiposity as well as abdominal fatness.

  17. CONTROL OF INDOOR ENVIRONMENTS VIA THE REGULATION OF BUILDING ENVELOPES

    Directory of Open Access Journals (Sweden)

    Mitja Košir

    2011-01-01

    Full Text Available The design of comfortable, healthy and stimulating indoor environments in buildings has a direct impact on the users and on energy consumption, as well as on the wider soci-economic environment of society.The indoor environment of buildings is defined with the formulation of the building envelope, which functions as an interface between the internal and external environments and its users. A properly designed, flexible and adequately controlled building envelope is a starting point in the formulation of a high-quality indoor environment. The systematic treatment of the indoor environment and building envelope from a user’s point of view represents an engineering approach that enables the holistic treatment of buildings, as well as integrated components and systems. The presented division of indoor environment in terms of visual, thermal, olfactory, acoustic and ergonomic sub-environments enables the classification and selection of crucial factors influencing design. This selection and classification can be implemented in the design, as well as in control applications of the building envelope. The implementation of the approach described is demonstrated with an example of an automated control system for the internal environment of an office in the building of the Faculty of Civil and Geodetic Engineering.

  18. Indoor environmental quality and building energy efficiency

    CSIR Research Space (South Africa)

    Van Reenen, T

    2014-03-01

    Full Text Available differences in skin temperature for different parts of the body are extreme but individually within the accepted comfort band. Also, where the indoor air temperature is above the radiant temperature, spaces tend to feel stuffy. This can occur with convective....R., Nishi, Y. & Gagge, A P., 1974). The effectiveness of the modes by which our bodies exchange heat changes with the environment. Similarly our capacity for thermo-regulation varies between different types of buildings and environments. The newer...

  19. Building brands without mass media.

    Science.gov (United States)

    Joachimsthaler, E; Aaker, D A

    1997-01-01

    Costs, market fragmentation, and new media channels that let customers bypass advertisements seem to be in league against the old ways of marketing. Relying on mass media campaigns to build strong brands may be a thing of the past. Several companies in Europe, making a virtue of necessity, have come up with alternative brand-building approaches and are blazing a trail in the post-mass-media age. In England, Nestlé's Buitoni brand grew through programs that taught the English how to cook Italian food. The Body Shop garnered loyalty with its support of environmental and social causes. Cadbury funded a theme park tied to its history in the chocolate business. Häagen-Dazs opened posh ice-cream parlors and got itself featured by name on the menus of fine restaurants. Hugo Boss and Swatch backed athletic or cultural events that became associated with their brands. The various campaigns shared characteristics that could serve as guidelines for any company hoping to build a successful brand: senior managers were closely involved with brand-building efforts; the companies recognized the importance of clarifying their core brand identity; and they made sure that all their efforts to gain visibility were tied to that core identity. Studying the methods of companies outside one's own industry and country can be instructive for managers. Pilot testing and the use of a single and continuous measure of brand equity also help managers get the most out of novel approaches in their ever more competitive world.

  20. Sustainable Buildings in Interaction

    DEFF Research Database (Denmark)

    Elle, Morten

    2007-01-01

    , and the focus on sustainable building have gradually turned from special houses on the countryside to normally looking houses in the urban fabric, integrated in the technical infrastructure. Some new built urban areas in Denmark will, however, not have to be supplied with district heating – these developments...... are going to consist of passive houses. The first sustainable buildings were built by their users, and the user – building interaction still play a decisive role for the performance of the present sustainable buildings. The users have to understand how the building functions. Urban design is essential......The first attempts to build sustainable buildings in Denmark were typically located on the countryside. The basic idea was to create buildings that were independent of the technical infrastructure. District heating has, however, been the dominating solution to heating in buildings in Denmark...

  1. Importance of Building Code

    Directory of Open Access Journals (Sweden)

    Reshmi Banerjee

    2015-06-01

    Full Text Available A building code, or building control, is a set of rules that specify the minimum standards for constructed objects such as buildings and non building structures. The main purpose of building codes are to protect public health, safety and general welfare as they relate to the construction and occupancy of buildings and structures. The building code becomes law of a particular jurisdiction when formally enacted by the appropriate governmental or private authority. Building codes are generally intended to be applied by architects, engineers, constructors and regulators but are also used for various purposes by safety inspectors, environmental scientists, real estate developers, subcontractors, manufacturers of building products and materials, insurance companies, facility managers, tenants and others.

  2. Sustainable Buildings in Interaction

    DEFF Research Database (Denmark)

    Elle, Morten

    2007-01-01

    The first attempts to build sustainable buildings in Denmark were typically located on the countryside. The basic idea was to create buildings that were independent of the technical infrastructure. District heating has, however, been the dominating solution to heating in buildings in Denmark......, and the focus on sustainable building have gradually turned from special houses on the countryside to normally looking houses in the urban fabric, integrated in the technical infrastructure. Some new built urban areas in Denmark will, however, not have to be supplied with district heating – these developments...... are going to consist of passive houses. The first sustainable buildings were built by their users, and the user – building interaction still play a decisive role for the performance of the present sustainable buildings. The users have to understand how the building functions. Urban design is essential...

  3. Physics of the human body

    CERN Document Server

    Herman, Irving P

    2016-01-01

    This book comprehensively addresses the physics and engineering aspects of human physiology by using and building on first-year college physics and mathematics. Topics include the mechanics of the static body and the body in motion, the mechanical properties of the body, muscles in the body, the energetics of body metabolism, fluid flow in the cardiovascular and respiratory systems, the acoustics of sound waves in speaking and hearing, vision and the optics of the eye, the electrical properties of the body, and the basic engineering principles of feedback and control in regulating all aspects of function. The goal of this text is to clearly explain the physics issues concerning the human body, in part by developing and then using simple and subsequently more refined models of the macrophysics of the human body. Many chapters include a brief review of the underlying physics. There are problems at the end of each chapter; solutions to selected problems are also provided. This second edition enhances the treat...

  4. Sequence Classification: 892097 [

    Lifescience Database Archive (English)

    Full Text Available into the multivesicular body pathway to the lysosomal/vacuolar lumen; cytoplasmic protein recruited to endosomal membranes; Vps20p || http://www.ncbi.nlm.nih.gov/protein/6323723 ...

  5. Sequence Classification: 893456 [

    Lifescience Database Archive (English)

    Full Text Available cles of multivesicular bodies, and for delivery of newly synthesized vacuolar enzymes to the vacuole, involved in endocytosis; Did4p || http://www.ncbi.nlm.nih.gov/protein/9755336 ...

  6. Applied building physics

    CERN Document Server

    Hens, Hugo S L C

    2012-01-01

    The energy crises of the 1970s, persisting moisture problems, complaints about sick buildings, thermal, visual and olfactory discomfort, and the move towards more sustainability in building construction have pushed Building Physics to the forefront of building innovation. The societal pressure to diminish energy consumption in buildings without impairing usability acted as a trigger to activate the whole notion of performance based design and construction. As with all engineering sciences, Building Physics is oriented towards application, which is why, after a first book on fundamentals this s

  7. Sacralising Bodies

    DEFF Research Database (Denmark)

    Kaur, Ravinder

    2010-01-01

    In post-revolution Iran, the sacred notion of martyrdom has been transformed into a routine act of government – a moral sign of order and state sovereignty. Moving beyond the debates of the secularisation of the sacred and the making sacred of the secular, this article argues that the moment...... of sacralisation is realised through co-production within a social setting when the object of sacralisation is recognised as such by others. In contemporary Iran, however, the moment of sacralising bodies by the state is also the moment of its own subversion as the political-theological field of martyrdom......-sacrifice became central to the mass mobilisation against the monarchy. Once the revolutionary government came into existence, this sacred tradition was regulated to create ‘martyrs’ as a fixed category, in order to consolidate the legacy of the revolution. In this political theatre, the dead body is a site...

  8. Knowledge Based Pipeline Network Classification and Recognition Method of Maps

    Institute of Scientific and Technical Information of China (English)

    Liu Tongyu; Gu Shusheng

    2001-01-01

    Map recognition is an e.ssenfial data input means of Geographic Information System(GIS). How to solve the problems in the procedure, such as recognition of maps with crisscross pipeline networks, classification of buildings and roads, and processing of connected text, is a critical step for GIS keeping high-speed development. In this paper, a new recognition method of pipeline maps is presented, and some common patterns of pipeline connection and component labels are establishecd Through pattern matching, pipelines and component labels are recognized and peeled off from maps. After this approach, maps simply consist of buildings and roads, which are recognized and classified with fuzzy classification method. In addition, the Double Sides Scan (DSS) technique is also described, through which the effect of connected text can be eliminated.

  9. Visual words based approach for tissue classification in mammograms

    Science.gov (United States)

    Diamant, Idit; Goldberger, Jacob; Greenspan, Hayit

    2013-02-01

    The presence of Microcalcifications (MC) is an important indicator for developing breast cancer. Additional indicators for cancer risk exist, such as breast tissue density type. Different methods have been developed for breast tissue classification for use in Computer-aided diagnosis systems. Recently, the visual words (VW) model has been successfully applied for different classification tasks. The goal of our work is to explore VW based methodologies for various mammography classification tasks. We start with the challenge of classifying breast density and then focus on classification of normal tissue versus Microcalcifications. The presented methodology is based on patch-based visual words model which includes building a dictionary for a training set using local descriptors and representing the image using a visual word histogram. Classification is then performed using k-nearest-neighbour (KNN) and Support vector machine (SVM) classifiers. We tested our algorithm on the MIAS and DDSM publicly available datasets. The input is a representative region-of-interest per mammography image, manually selected and labelled by expert. In the tissue density task, classification accuracy reached 85% using KNN and 88% using SVM, which competes with the state-of-the-art results. For MC vs. normal tissue, accuracy reached 95.6% using SVM. Results demonstrate the feasibility to classify breast tissue using our model. Currently, we are improving the results further while also investigating VW capability to classify additional important mammogram classification problems. We expect that the methodology presented will enable high levels of classification, suggesting new means for automated tools for mammography diagnosis support.

  10. [Classification of headache disorders].

    Science.gov (United States)

    Heinze, A; Heinze-Kuhn, K; Göbel, H

    2007-06-01

    In 2003 the International Headache Society (IHS) published the second edition of the International Classification of Headache Disorders. Diagnostic criteria for no less than 206 separate headache diagnoses are presented in the parts (I) primary headaches, (II) secondary headaches and (III) cranial neuralgia, central and primary facial pain. The headaches are classified according to the etiology in case of the secondary headaches and according to the phenomenology in case of the primary headaches. It is the task of the headache specialist to identify the correct headache diagnose with the smallest effort possible. Both, the differentiation between secondary and primary headaches and the differentiation between the various primary headaches are of equal importance.

  11. Latent classification models

    DEFF Research Database (Denmark)

    Langseth, Helge; Nielsen, Thomas Dyhre

    2005-01-01

    parametric family ofdistributions.  In this paper we propose a new set of models forclassification in continuous domains, termed latent classificationmodels. The latent classification model can roughly be seen ascombining the \\NB model with a mixture of factor analyzers,thereby relaxing the assumptions...... of the \\NB classifier. In theproposed model the continuous attributes are described by amixture of multivariate Gaussians, where the conditionaldependencies among the attributes are encoded using latentvariables. We present algorithms for learning both the parametersand the structure of a latent...

  12. SPORT FOOD ADDITIVE CLASSIFICATION

    Directory of Open Access Journals (Sweden)

    I. P. Prokopenko

    2015-01-01

    Full Text Available Correctly organized nutritive and pharmacological support is an important component of an athlete's preparation for competitions, an optimal shape maintenance, fast recovery and rehabilitation after traumas and defatigation. Special products of enhanced biological value (BAS for athletes nutrition are used with this purpose. Easy-to-use energy sources are administered into athlete's organism, yielded materials and biologically active substances which regulate and activate exchange reactions which proceed with difficulties during certain physical trainings. The article presents sport supplements classification which can be used before warm-up and trainings, after trainings and in competitions breaks.

  13. Automated mapping of building facades by machine learning

    DEFF Research Database (Denmark)

    Höhle, Joachim

    2014-01-01

    Facades of buildings contain various types of objects which have to be recorded for information systems. The article describes a solution for this task focussing on automated classification by means of machine learning techniques. Stereo pairs of oblique images are used to derive 3D point clouds...

  14. Energy-aware activity classification using wearable sensor networks

    Science.gov (United States)

    Dong, Bo; Montoye, Alexander; Moore, Rebecca; Pfeiffer, Karin; Biswas, Subir

    2013-05-01

    This paper presents implementation details, system characterization, and the performance of a wearable sensor network that was designed for human activity analysis. Specific machine learning mechanisms are implemented for recognizing a target set of activities with both out-of-body and on-body processing arrangements. Impacts of energy consumption by the on-body sensors are analyzed in terms of activity detection accuracy for out-of-body processing. Impacts of limited processing abilities for the on-body scenario are also characterized in terms of detection accuracy, by varying the background processing load in the sensor units. Impacts of varying number of sensors in terms of activity classification accuracy are also evaluated. Through a rigorous systems study, it is shown that an efficient human activity analytics system can be designed and operated even under energy and processing constraints of tiny on-body wearable sensors.

  15. A Dynamical Classification of the Cosmic Web

    CERN Document Server

    Forero-Romero, J E; Gottlöber, S; Klypin, A; Yepes, G

    2008-01-01

    A dynamical classification of the cosmic web is proposed. The large scale environment is classified into four web types: voids, sheets, filaments and knots. The classification is based on the evaluation of the deformation tensor, i.e. the Hessian of the gravitational potential, on a grid. The classification is based on counting the number of eigenvalues above a certain threshold, lambda_th at each grid point, where the case of zero, one, two or three such eigenvalues corresponds to void, sheet, filament or a knot grid point. The collection of neighboring grid points, friends-of-friends, of the same web attribute constitutes voids, sheets, filaments and knots as web objects. A simple dynamical consideration suggests that lambda_th should be approximately unity, upon an appropriate scaling of the deformation tensor. The algorithm has been applied and tested against a suite of (dark matter only) cosmological N-body simulations. In particular, the dependence of the volume and mass filling fractions on lambda_th a...

  16. Nonverbal communication: characteristics, functions and classification

    Institute of Scientific and Technical Information of China (English)

    王红霞

    2009-01-01

    This paper attempts to provide a brief but systematic survey of nonverbal communication in terms of its characteristics, functions, and classification. Nonverbal communication involves all those nonverbal stimuli in a communication setting that are generated by both the source and the receiver. First, unlike verbal communication, it does not have a fixed set of signs, and formal rules and structures; it is innate and continuous. Second, it performs such functions as repeating, complementing, substituting, regulating, and contradicting. Finally, nonverbal communication may be classified into two major types: those produced by the body (including physical appearance, body movements, physical contact, ficial expressions, eye contact, and paralanguage); and those associated with the setting (including space, time, and silence).

  17. Polymyositis and dermatomyositis: Disease spectrum and classification

    Directory of Open Access Journals (Sweden)

    Siba P Raychaudhuri

    2012-01-01

    Full Text Available Muscle inflammation and weakness are the key features of idiopathic inflammatory myopathies (IIMs. In addition IIMs are frequently associated with cutaneous and pulmonary involvement. In clinical practice the three common inflammatory myopathies we come across are polymyositis (PM, dermatomyositis (DM and inclusion body myositis (IBM. The Bohan and Peter criteria combine clinical, laboratory, and pathologic features to define PM and DM. They did not recognize inclusion body myositis (IBM or other inflammatory myopathies, such as granulomatous and eosinophilic myositis. Thus the disease spectrum is wide and IIMs are a heterogeneous group of autoimmune disorders. To address these issues in this article we have discussed the currently developing newer classifications of IIMs.

  18. Building up Evidence Body for Post-marketing Chinese Medicines Research%构建中药上市后安全性评价证据体的思考

    Institute of Scientific and Technical Information of China (English)

    廖星; 谢雁鸣

    2014-01-01

    Safety surveillance is the most important aspect for post-marketing research of Chinese medicine.However,passive monito-ring systems or phase four clinical trials or large sample epidemiology studies were historically the common ways of surveillance of post-marketing Chinese medicine.However those studies can no longer meet the expectations,and there are many more evidence sources for post-marketing Chinese medicine safety evaluation,eg.active surveillance from observational cohort study and study on hospital informa-tion system.These data and study can provide adequate source data for post-marketing Chinese medicine research.The most prominent problem is how to integrate different evidences from multiple sources.This article suggests we should build an evidence-based system to evaluate post-marketing Chinese medicines safety.%中药上市后安全性评价关乎用药患者在临床应用中的生命安全,关系着国家医疗卫生政策的导向,以及药厂对药品开发规划设计。上市后药品的安全监测无疑是所有上市后药品的重要内容,而监测主要关注药品在上市前未曾发现的那些潜在的不良反应/事件。既往,上市后药物监测习惯以被动监测模式或者是四期的临床试验或者是大型的流行病学调查,这些统被称之为安全性监测或药物警戒研究。现今,研究者们发现这些方法或方式远远不能满足当下对于上市后药品安全性评价的证据需求。为此,为了能够弥补这些证据积累的不足,目前亟需发展新的证据研究模式,比如转向大样本大范围的主动监测,采用队列观察性研究方法,基于真实世界医疗电子数据库等等。本文基于上市后中药的特点,从循证医学证据理念出发,提出构建中药上市后安全性评价证据体的设想来对未来中药上市后安全性评价研究提供参考。

  19. Link prediction boosted psychiatry disorder classification for functional connectivity network

    Science.gov (United States)

    Li, Weiwei; Mei, Xue; Wang, Hao; Zhou, Yu; Huang, Jiashuang

    2017-02-01

    Functional connectivity network (FCN) is an effective tool in psychiatry disorders classification, and represents cross-correlation of the regional blood oxygenation level dependent signal. However, FCN is often incomplete for suffering from missing and spurious edges. To accurate classify psychiatry disorders and health control with the incomplete FCN, we first `repair' the FCN with link prediction, and then exact the clustering coefficients as features to build a weak classifier for every FCN. Finally, we apply a boosting algorithm to combine these weak classifiers for improving classification accuracy. Our method tested by three datasets of psychiatry disorder, including Alzheimer's Disease, Schizophrenia and Attention Deficit Hyperactivity Disorder. The experimental results show our method not only significantly improves the classification accuracy, but also efficiently reconstructs the incomplete FCN.

  20. Feature selection and classification of multiparametric medical images using bagging and SVM

    Science.gov (United States)

    Fan, Yong; Resnick, Susan M.; Davatzikos, Christos

    2008-03-01

    This paper presents a framework for brain classification based on multi-parametric medical images. This method takes advantage of multi-parametric imaging to provide a set of discriminative features for classifier construction by using a regional feature extraction method which takes into account joint correlations among different image parameters; in the experiments herein, MRI and PET images of the brain are used. Support vector machine classifiers are then trained based on the most discriminative features selected from the feature set. To facilitate robust classification and optimal selection of parameters involved in classification, in view of the well-known "curse of dimensionality", base classifiers are constructed in a bagging (bootstrap aggregating) framework for building an ensemble classifier and the classification parameters of these base classifiers are optimized by means of maximizing the area under the ROC (receiver operating characteristic) curve estimated from their prediction performance on left-out samples of bootstrap sampling. This classification system is tested on a sex classification problem, where it yields over 90% classification rates for unseen subjects. The proposed classification method is also compared with other commonly used classification algorithms, with favorable results. These results illustrate that the methods built upon information jointly extracted from multi-parametric images have the potential to perform individual classification with high sensitivity and specificity.

  1. State Capitol Buildings

    Data.gov (United States)

    Department of Homeland Security — This shapefile will display the locations of the fifty state capitol buildings as well as the territorial capitol buildings for the US Virgin Islands, Guam, Northern...

  2. Requirements for existing buildings

    DEFF Research Database (Denmark)

    Thomsen, Kirsten Engelund; Wittchen, Kim Bjarne

    2012-01-01

    This report collects energy performance requirements for existing buildings in European member states by June 2012.......This report collects energy performance requirements for existing buildings in European member states by June 2012....

  3. Buildings interoperability landscape - Draft

    Energy Technology Data Exchange (ETDEWEB)

    Hardin, Dave B. [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States); Stephan, Eric G. [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States); Wang, Weimin [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States); Corbin, Charles D. [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States); Widergren, Steven E. [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)

    2015-02-01

    Buildings are an integral part of our nation’s energy economy. The advancement in information and communications technology (ICT) has revolutionized energy management in industrial facilities and large commercial buildings. As ICT costs decrease and capabilities increase, buildings automation and energy management features are transforming the small-medium commercial and residential buildings sectors. A vision of a connected world in which equipment and systems within buildings coordinate with each other to efficiently meet their owners’ and occupants’ needs, and where buildings regularly transact business with other buildings and service providers (such as gas and electric service providers) is emerging. However, while the technology to support this collaboration has been demonstrated at various degrees of maturity, the integration frameworks and ecosystems of products that support the ability to easily install, maintain, and evolve building systems and their equipment components are struggling to nurture the fledging business propositions of their proponents.

  4. Building Services Systems

    DEFF Research Database (Denmark)

    Zinzi, Michele; Romeo, Carlo; Thomsen, Kirsten Engelund

    2015-01-01

    This guideline on Building Services Systems is one of four guidelines produced by the School of the Future project. The other three guidelines cover: Building Construction Elements, Improved Indoor Environmental Quality and Concepts for Zero Emission Schools. This guideline consists...

  5. Robotic buildings(s)

    NARCIS (Netherlands)

    Bier, H.H.

    2014-01-01

    Technological and conceptual advances in fields such as artificial intelligence, robotics, and material science have enabled robotic building to be in the last decade prototypically implemented. In this context, robotic building implies both physically built robotic environments and robotically supp

  6. Building Services Systems

    DEFF Research Database (Denmark)

    Zinzi, Michele; Romeo, Carlo; Thomsen, Kirsten Engelund

    2015-01-01

    This guideline on Building Services Systems is one of four guidelines produced by the School of the Future project. The other three guidelines cover: Building Construction Elements, Improved Indoor Environmental Quality and Concepts for Zero Emission Schools. This guideline consists...

  7. Building Design & Construction - Sustainability

    Energy Technology Data Exchange (ETDEWEB)

    None

    2003-11-01

    Offers a brief history of green building; presents the results of a specially commissioned survey; and analyzes the chief trends, issues, and published research, based on interviews with dozens of experts and participants in green building.

  8. Better Buildings Challenge Overview

    Energy Technology Data Exchange (ETDEWEB)

    None

    2011-06-01

    The Better Buildings Challenge is a national leadership initiative calling on corporate chief executive officers, university presidents, and state and local leaders to make a significant commitment to building energy efficiency.

  9. Comfort control in buildings

    CERN Document Server

    Castilla, Maria del Mar; Rodriguez, Francisco de Asis

    2014-01-01

    This book describes both concepts and development of advanced comfort control systems in buildings, with significant energy saving, and attention to thermal, visual and indoor air quality. The concepts are proven through real tests in a bioclimatic building.

  10. Robotic buildings(s)

    NARCIS (Netherlands)

    Bier, H.H.

    2014-01-01

    Technological and conceptual advances in fields such as artificial intelligence, robotics, and material science have enabled robotic building to be in the last decade prototypically implemented. In this context, robotic building implies both physically built robotic environments and robotically supp

  11. Modern frame structure buildings

    National Research Council Canada - National Science Library

    В. М. Першаков; Т. О. Петрова; К. М. Лисницька

    2013-01-01

    The article deals with the design, construction and implementation of reinforced concrete frame structures with span 18, 21 m for agricultural production buildings, hall-premises of public buildings...

  12. Integrated Building Health Management

    Data.gov (United States)

    National Aeronautics and Space Administration — Abstract: Building health management is an important part in running an efficient and cost-effective building. Many problems in a building’s system can go undetected...

  13. Requirements for existing buildings

    DEFF Research Database (Denmark)

    Thomsen, Kirsten Engelund; Wittchen, Kim Bjarne

    2012-01-01

    This report collects energy performance requirements for existing buildings in European member states by June 2012.......This report collects energy performance requirements for existing buildings in European member states by June 2012....

  14. Classification of smooth Fano polytopes

    DEFF Research Database (Denmark)

    Øbro, Mikkel

    Fano polytopes up to isomorphism. A smooth Fano -polytope can have at most vertices. In case of vertices an explicit classification is known. The thesis contains the classification in case of vertices. Classifications of smooth Fano -polytopes for fixed exist only for . In the thesis an algorithm...... for the classification of smooth Fano -polytopes for any given is presented. The algorithm has been implemented and used to obtain the complete classification for .......A simplicial lattice polytope containing the origin in the interior is called a smooth Fano polytope, if the vertices of every facet is a basis of the lattice. The study of smooth Fano polytopes is motivated by their connection to toric varieties. The thesis concerns the classification of smooth...

  15. Classification and Evolutionary Trends of Icosahedral Viral Capsids

    Directory of Open Access Journals (Sweden)

    Richard Kerner

    2008-01-01

    Full Text Available A classification of icosahedral viral capsids is proposed. We show how the self-organization of capsids during their formation implies a definite composition of their elementary building blocks. The exact number of hexamers with three different admissible symmetries is related to capsids' sizes, labelled by their T-numbers. Simple rules determining these numbers for each value of T are deduced and certain consequences concerning the probabilities of mutations and evolution of viruses are discussed.

  16. Modern Physics Buildings, Design and Function.

    Science.gov (United States)

    Palmer, R. Ronald; Rice, William Maxwell

    In order to serve college administrators, architects and physics educators, a collection was made of material reflecting the state-of-the-art of physics building design. This body of material, including drawings, diagrams, and photographs, resulted largely from extensive interviews with about 50 institutions who had recently built such facilities.…

  17. Establishing competency in the use of North American Nursing Diagnosis Association, Nursing Outcomes Classification, and Nursing Interventions Classification terminology.

    Science.gov (United States)

    Keenan, Gail; Falan, Sharie; Heath, Crystal; Treder, Marcy

    2003-01-01

    The purpose of this study was to evaluate a 16-hour intervention designed to build clinician competency in the use of North American Nursing Diagnosis Association (NANDA), Nursing Outcome Classification (NOC), and Nursing Interventions Classification (NIC) (hereinafter: N3) among nurses with limited N3 knowledge. Each of 19 pairs of nurses independently selected N3 terms and rated the outcomes applicable to an actual patient for a specified time. A pair-through discussion then created a single consensus patient profile of the applicable terms. Before discussion, pairs agreed on 46% of the NANDA diagnoses, 30% of the NOC outcomes, and 20% of the NIC interventions selected. Eighty-nine percent of NOC label pair ratings were within 1 point. Building competency in N3 requires consistent use in written and oral communication with peers across time. Inter-rater reliabilities (IRRs) for NOC label ratings support previous findings.

  18. A Study to Compare the Cost of Operation and Maintenance in Green Building Index (GBI and Non-Green Building Index (Non-GBI Rated Building in Malaysia

    Directory of Open Access Journals (Sweden)

    Ping Lee Zheng

    2016-01-01

    Full Text Available Urges for sustainable development had pushed the government and professional bodies to respond and react by implementing regulations where possible to direct development in that manner. However, the outcome in most financial conferences and dialogues on sustainable buildings flagged on high construction and maintenance cost. Thus, this study is conducted to collect and analyze actual building operation and maintenance cost between GBI and Non-GBI rated buildings in Malaysia which are more than 2 years fully operated buildings. There are two categories of selected buildings which are residential and non-residential type of building. Each category of the building consists of similar building’s characteristic such as geographic location, mode of operation, building heights, total numbers of floors and units. The scope of building’s maintenance for this study is mainly on wear and tear of the wall painting, electrical light fittings, ceiling panels, roofing system and mechanical services like water pump system are recorded for their replacement frequency of service and the cost involved within a consistent period of 12 months operation at cost percentage saving of 78.9% and 40.4% for residential and non-residential buildings respectively compare against Non-GBI rated buildings. Electricity consumption for GBI rated buildings are lower than Non-GBI rated buildings which recorded at the cost variance of 23.8% and 6.3% and water consumption at 35.9% and 44.0% for the above mentioned two main categories of selected case study buildings. Results from this study conclude major savings on residential buildings category in term of maintenance cost and electricity consumption for GBI rated buildings. Whereby, non-residential category of buildings, GBI rated building had been proven to obtain significant savings in terms of maintenance cost and water consumption.

  19. The future of general classification

    DEFF Research Database (Denmark)

    Mai, Jens Erik

    2013-01-01

    Discusses problems related to accessing multiple collections using a single retrieval language. Surveys the concepts of interoperability and switching language. Finds that mapping between more indexing languages always will be an approximation. Surveys the issues related to general classification...... and contrasts that to special classifications. Argues for the use of general classifications to provide access to collections nationally and internationally. © 2003 by The Haworth Press, Inc. All rights reserved....

  20. Combinatorial Approach of Associative Classification

    OpenAIRE

    P. R. Pal; R.C. Jain

    2010-01-01

    Association rule mining and classification are two important techniques of data mining in knowledge discovery process. Integration of these two has produced class association rule mining or associative classification techniques, which in many cases have shown better classification accuracy than conventional classifiers. Motivated by this study we have explored and applied the combinatorial mathematics in class association rule mining in this paper. Our algorithm is based on producing co...

  1. A Classification Leveraged Object Detector

    OpenAIRE

    Sun, Miao; Han, Tony X.; He, Zhihai

    2016-01-01

    Currently, the state-of-the-art image classification algorithms outperform the best available object detector by a big margin in terms of average precision. We, therefore, propose a simple yet principled approach that allows us to leverage object detection through image classification on supporting regions specified by a preliminary object detector. Using a simple bag-of- words model based image classification algorithm, we leveraged the performance of the deformable model objector from 35.9%...

  2. A new classification of glaucomas

    Directory of Open Access Journals (Sweden)

    Bordeianu CD

    2014-09-01

    Full Text Available Constantin-Dan Bordeianu Private Practice, Ploiesti, Prahova, Romania Purpose: To suggest a new glaucoma classification that is pathogenic, etiologic, and clinical.Methods: After discussing the logical pathway used in criteria selection, the paper presents the new classification and compares it with the classification currently in use, that is, the one issued by the European Glaucoma Society in 2008.Results: The paper proves that the new classification is clear (being based on a coherent and consistently followed set of criteria, is comprehensive (framing all forms of glaucoma, and helps in understanding the sickness understanding (in that it uses a logical framing system. The great advantage is that it facilitates therapeutic decision making in that it offers direct therapeutic suggestions and avoids errors leading to disasters. Moreover, the scheme remains open to any new development.Conclusion: The suggested classification is a pathogenic, etiologic, and clinical classification that fulfills the conditions of an ideal classification. The suggested classification is the first classification in which the main criterion is consistently used for the first 5 to 7 crossings until its differentiation capabilities are exhausted. Then, secondary criteria (etiologic and clinical pick up the relay until each form finds its logical place in the scheme. In order to avoid unclear aspects, the genetic criterion is no longer used, being replaced by age, one of the clinical criteria. The suggested classification brings only benefits to all categories of ophthalmologists: the beginners will have a tool to better understand the sickness and to ease their decision making, whereas the experienced doctors will have their practice simplified. For all doctors, errors leading to therapeutic disasters will be less likely to happen. Finally, researchers will have the object of their work gathered in the group of glaucoma with unknown or uncertain pathogenesis, whereas

  3. PSC: protein surface classification.

    Science.gov (United States)

    Tseng, Yan Yuan; Li, Wen-Hsiung

    2012-07-01

    We recently proposed to classify proteins by their functional surfaces. Using the structural attributes of functional surfaces, we inferred the pairwise relationships of proteins and constructed an expandable database of protein surface classification (PSC). As the functional surface(s) of a protein is the local region where the protein performs its function, our classification may reflect the functional relationships among proteins. Currently, PSC contains a library of 1974 surface types that include 25,857 functional surfaces identified from 24,170 bound structures. The search tool in PSC empowers users to explore related surfaces that share similar local structures and core functions. Each functional surface is characterized by structural attributes, which are geometric, physicochemical or evolutionary features. The attributes have been normalized as descriptors and integrated to produce a profile for each functional surface in PSC. In addition, binding ligands are recorded for comparisons among homologs. PSC allows users to exploit related binding surfaces to reveal the changes in functionally important residues on homologs that have led to functional divergence during evolution. The substitutions at the key residues of a spatial pattern may determine the functional evolution of a protein. In PSC (http://pocket.uchicago.edu/psc/), a pool of changes in residues on similar functional surfaces is provided.

  4. Supply chain planning classification

    Science.gov (United States)

    Hvolby, Hans-Henrik; Trienekens, Jacques; Bonde, Hans

    2001-10-01

    Industry experience a need to shift in focus from internal production planning towards planning in the supply network. In this respect customer oriented thinking becomes almost a common good amongst companies in the supply network. An increase in the use of information technology is needed to enable companies to better tune their production planning with customers and suppliers. Information technology opportunities and supply chain planning systems facilitate companies to monitor and control their supplier network. In spite if these developments, most links in today's supply chains make individual plans, because the real demand information is not available throughout the chain. The current systems and processes of the supply chains are not designed to meet the requirements now placed upon them. For long term relationships with suppliers and customers, an integrated decision-making process is needed in order to obtain a satisfactory result for all parties. Especially when customized production and short lead-time is in focus. An effective value chain makes inventory available and visible among the value chain members, minimizes response time and optimizes total inventory value held throughout the chain. In this paper a supply chain planning classification grid is presented based current manufacturing classifications and supply chain planning initiatives.

  5. Holistic facial expression classification

    Science.gov (United States)

    Ghent, John; McDonald, J.

    2005-06-01

    This paper details a procedure for classifying facial expressions. This is a growing and relatively new type of problem within computer vision. One of the fundamental problems when classifying facial expressions in previous approaches is the lack of a consistent method of measuring expression. This paper solves this problem by the computation of the Facial Expression Shape Model (FESM). This statistical model of facial expression is based on an anatomical analysis of facial expression called the Facial Action Coding System (FACS). We use the term Action Unit (AU) to describe a movement of one or more muscles of the face and all expressions can be described using the AU's described by FACS. The shape model is calculated by marking the face with 122 landmark points. We use Principal Component Analysis (PCA) to analyse how the landmark points move with respect to each other and to lower the dimensionality of the problem. Using the FESM in conjunction with Support Vector Machines (SVM) we classify facial expressions. SVMs are a powerful machine learning technique based on optimisation theory. This project is largely concerned with statistical models, machine learning techniques and psychological tools used in the classification of facial expression. This holistic approach to expression classification provides a means for a level of interaction with a computer that is a significant step forward in human-computer interaction.

  6. CLASSIFICATION OF CRIMINAL GROUPS

    Directory of Open Access Journals (Sweden)

    Natalia Romanova

    2013-06-01

    Full Text Available New types of criminal groups are emerging in modern society.  These types have their special criminal subculture. The research objective is to develop new parameters of classification of modern criminal groups, create a new typology of criminal groups and identify some features of their subculture. Research methodology is based on the system approach that includes using the method of analysis of documentary sources (materials of a criminal case, method of conversations with themembers of the criminal group, method of testing the members of the criminal group and method of observation. As a result of the conducted research, we have created a new classification of criminal groups. The first type is a lawful group in its form and criminal according to its content (i.e., its target is criminal enrichment. The second type is a criminal organization which is run by so-called "white-collars" that "remain in the shadow". The third type is traditional criminal groups.  The fourth type is the criminal group, which openly demonstrates its criminal activity.

  7. Building a case for building performance

    OpenAIRE

    Lehrer, David

    2001-01-01

    You have seen the facts before. Americans make up less than 5% of the world’s population, yet consume 25% of the earth’s resources and create 25% of the world’s greenhouse gases. We are also told that the construction and operation of buildings are major contributors to this problem, and that as building industry professionals we have a major responsibility to improve the performance of the buildings and environments that we create. Although a growing number of states and municipalit...

  8. Making Smart Building Decisions.

    Science.gov (United States)

    Coburn, Janet

    1999-01-01

    Discusses how a positive partnership with the architect can help one who is inexperienced in building design and construction make smart building decisions. Tips address how to prevent change orders, what red flags to look for in a building project, what the administrator should expect from the architect to make the project run smoothly, and what…

  9. Green Building Research Laboratory

    Energy Technology Data Exchange (ETDEWEB)

    Sailor, David Jean [Portland State Univ., Portland, OR (United States)

    2013-12-29

    This project provided support to the Green Building Research Laboratory at Portland State University (PSU) so it could work with researchers and industry to solve technical problems for the benefit of the green building industry. It also helped to facilitate the development of PSU’s undergraduate and graduate-level training in building science across the curriculum.

  10. Building the ISS

    Institute of Scientific and Technical Information of China (English)

    石继忠; 李秀霞

    2007-01-01

    Have you seen people building houses?To build a house,you need workers.They use their hands,tools and machines to put everything together. Building the ISS is almost the same.The difference is that the workers are astronauts.They

  11. Future Green Buildings

    DEFF Research Database (Denmark)

    Mathiesen, Brian Vad; Drysdale, David; Lund, Henrik

    Efficient buildings are essential for an affordable Danish energy supply in 2050. The purpose of this report is to describe the contribution and role of the building sector in a 100% renewable energy future, as well as the transitions that are necessary in the building sector to support this chan...

  12. Building with Straw.

    Science.gov (United States)

    Di Santo, Gilbert

    2000-01-01

    Discusses the early use of straw in Africa and Europe as a building material. Provides background information and a basic framework for the straw bale project, and recommends supervision for young students. Lists objectives for building a straw bale bench and provides the building instructions which consist of three sessions. Includes four…

  13. Axioms of affine buildings

    OpenAIRE

    Schwer, Petra N.

    2009-01-01

    We prove equivalence of certain axiom sets for affine buildings. Along the lines a purely combinatorial proof of the existence of a spherical building at infinity is given. As a corollary we obtain that ``being an affine building'' is independent of the metric structure of the space.

  14. Body contact and body language

    DEFF Research Database (Denmark)

    Winther, Helle Dagmar

    2008-01-01

    and the boundaries between self and world. In western societies, the modern premises for contact are in some ways developing from close contact to virtual communication. With this breadth of perspective in mind, the ques­tion is whether conscious and experimental work with body contact and body language in move......­ment psychology and education provide potential for intense personal develop­ment as well as for social and cultural learning processes. This performative research project originates from the research project entitled, Movement Psy­chol­ogy: The Language of the Body and the Psy­chol­ogy of Movement based...... on the Dance Therapy Form Dansergia. The author, who is a practi­tioner-researcher, is methodologically inspir­ed by phenomenology, performative methods and a narrative and auto-ethnographic approach. The project will be presented in an organic, cre­at­ive and performative way. Through a moving dia...

  15. Homotopy Classification of Multiaxial Actions

    CERN Document Server

    Cappell, Sylvain; Yan, Min

    2011-01-01

    A U(n)-manifold is multiaxial if the isotropy groups are always conjugate to unitary subgroups. The classification and the concordance of such manifolds have been studied by Davis, Hsiang and Morgan under much more strict conditions. We show that in general, without much extra condition, the homotopy classification of multiaxial manifolds can be split into a direct sum of the classification of pairs of adjacent strata, which can be computed by the classical surgery theory. Moreover, we also compute the homotopy classification for the case of the standard representation sphere. We also present the result for the similar multiaxial Sp(n)-manifolds.

  16. A new crossover operator in genetic programming for object classification.

    Science.gov (United States)

    Zhang, Mengjie; Gao, Xiaoying; Lou, Weijun

    2007-10-01

    The crossover operator has been considered "the centre of the storm" in genetic programming (GP). However, many existing GP approaches to object recognition suggest that the standard GP crossover is not sufficiently powerful in producing good child programs due to the totally random choice of the crossover points. To deal with this problem, this paper introduces an approach with a new crossover operator in GP for object recognition, particularly object classification. In this approach, a local hill-climbing search is used in constructing good building blocks, a weight called looseness is introduced to identify the good building blocks in individual programs, and the looseness values are used as heuristics in choosing appropriate crossover points to preserve good building blocks. This approach is examined and compared with the standard crossover operator and the headless chicken crossover (HCC) method on a sequence of object classification problems. The results suggest that this approach outperforms the HCC, the standard crossover, and the standard crossover operator with hill climbing on all of these problems in terms of the classification accuracy. Although this approach spends a bit longer time than the standard crossover operator, it significantly improves the system efficiency over the HCC method.

  17. Neurovascular complications following carotid body paraganglioma resection.

    Science.gov (United States)

    Lamblin, E; Atallah, I; Reyt, E; Schmerber, S; Magne, J-L; Righini, C A

    2016-11-01

    The present consecutive case series reports our experience in the management of carotid body paraganglioma and aims to assess whether the Shamblin classification or tumor size are predictive of early and late postoperative neurovascular complications. A retrospective study included 54 carotid body tumor resections in 49 patients, between 1980 and 2011. Data comprised early (3.2cm emerged as predictive factors for early postoperative peripheral neurological complications. Eight patients (17%) showed no cranial nerve deficit recovery, even after 18 months' follow-up; no predictive factors could be identified for this. Surgical resection remains the only curative treatment in carotid body paraganglioma, with low vascular morbidity. However, early postoperative nerve deficit remains frequent (56%), although mostly temporary, with 17% definitive sequelae at 18 months. Tumor size and Shamblin classification are predictive of early neurovascular complications. Copyright © 2016 Elsevier Masson SAS. All rights reserved.

  18. A method of building information extraction based on mathematical morphology and multiscale

    Science.gov (United States)

    Li, Jing-wen; Wang, Ke; Zhang, Zi-ping; Xue, Long-li; Yin, Shou-qiang; Zhou, Song

    2015-12-01

    In view of monitoring the changes of buildings on Earth's surface ,by analyzing the distribution characteristics of building in remote sensing image, combined with multi-scale in image segmentation and the advantages of mathematical morphology, this paper proposes a multi-scale combined with mathematical morphology of high resolution remote sensing image segmentation method, and uses the multiple fuzzy classification method and the shadow of auxiliary method to extract information building, With the comparison of k-means classification, and the traditional maximum likelihood classification method, the results of experiment object based on multi-scale combined with mathematical morphology of image segmentation and extraction method, can accurately extract the structure of the information is more clear classification data, provide the basis for the intelligent monitoring of earth data and theoretical support.

  19. Design of a robust EMG sensing interface for pattern classification.

    Science.gov (United States)

    Huang, He; Zhang, Fan; Sun, Yan L; He, Haibo

    2010-10-01

    Electromyographic (EMG) pattern classification has been widely investigated for neural control of external devices in order to assist with movements of patients with motor deficits. Classification performance deteriorates due to inevitable disturbances to the sensor interface, which significantly challenges the clinical value of this technique. This study aimed to design a sensor fault detection (SFD) module in the sensor interface to provide reliable EMG pattern classification. This module monitored the recorded signals from individual EMG electrodes and performed a self-recovery strategy to recover the classification performance when one or more sensors were disturbed. To evaluate this design, we applied synthetic disturbances to EMG signals collected from leg muscles of able-bodied subjects and a subject with a transfemoral amputation and compared the accuracies for classifying transitions between different locomotion modes with and without the SFD module. The results showed that the SFD module maintained classification performance when one signal was distorted and recovered about 20% of classification accuracy when four signals were distorted simultaneously. The method was simple to implement. Additionally, these outcomes were observed for all subjects, including the leg amputee, which implies the promise of the designed sensor interface for providing a reliable neural-machine interface for artificial legs.

  20. A Disaster Document Classification Technique Using Domain Specific Ontologies

    Directory of Open Access Journals (Sweden)

    Qazi Mudassar Ilyas

    2015-12-01

    Full Text Available Manual data collection and entry is one of the bottlenecks in conventional disaster management information systems. Time is a critical factor in emergency situations and timely data collection and processing may help in saving several lives. An effective disaster management system needs to collect data from World Wide Web automatically. A prerequisite for data collection process is document classification mechanism to classify a particular document into different categories. Ontologies are formal bodies of knowledge used to capture machine understandable semantics of a domain of interest and have been used successfully to support document classification in various domains. This paper presents an ontology-based document classification technique for automatic data collection in a disaster management system. A general ontology of disasters is used that contains the description of several natural and man-made disasters. The proposed technique augments the conventional classification measures with the ontological knowledge to improve the precision of classification. A preliminary implementation of the proposed technique shows promising results with up to 10% overall improvement in precision when compared with conventional classification methods.

  1. Design of a robust EMG sensing interface for pattern classification

    Science.gov (United States)

    Huang, He; Zhang, Fan; Sun, Yan L.; He, Haibo

    2010-10-01

    Electromyographic (EMG) pattern classification has been widely investigated for neural control of external devices in order to assist with movements of patients with motor deficits. Classification performance deteriorates due to inevitable disturbances to the sensor interface, which significantly challenges the clinical value of this technique. This study aimed to design a sensor fault detection (SFD) module in the sensor interface to provide reliable EMG pattern classification. This module monitored the recorded signals from individual EMG electrodes and performed a self-recovery strategy to recover the classification performance when one or more sensors were disturbed. To evaluate this design, we applied synthetic disturbances to EMG signals collected from leg muscles of able-bodied subjects and a subject with a transfemoral amputation and compared the accuracies for classifying transitions between different locomotion modes with and without the SFD module. The results showed that the SFD module maintained classification performance when one signal was distorted and recovered about 20% of classification accuracy when four signals were distorted simultaneously. The method was simple to implement. Additionally, these outcomes were observed for all subjects, including the leg amputee, which implies the promise of the designed sensor interface for providing a reliable neural-machine interface for artificial legs.

  2. Building with History

    DEFF Research Database (Denmark)

    Douglas-Jones, Rachel; Adams, Charlotte; Green, Adrian

    2014-01-01

    Drawing on interdisciplinary research focusing on Durham University estate, we describe how buildings constructed as part of an eighteenth century transition to a high carbon coal-based economy, are used and understood by their current inhabitants. Applied heritage research has tended to focus...... on the thermal and energetic properties of historic buildings, as distinct from their social meaning and use. A similar separation between the physi- cal building and its social use is inherent in methodologies such as energy audits that constitute key devices through which buildings are institution- ally...... was given to the existing possibilities afforded by historic buildings and their users...

  3. Controlling the intelligent building

    Energy Technology Data Exchange (ETDEWEB)

    LeBlanc, R.J.

    1985-08-01

    Companies will be able to locate in intelligent buildings that offer access to a variety of sophisticated communications equipment, at the heart of which are building controls that ensure a comfortable and safe working environment for the occupants. Future buildings will include advanced telephones or workstations with built-in building control sensors for temperature, light level, and security. Advanced telecommunication systems may have telephone cabinets with built-in control functions which eliminate the need for discrete control systems. The owners and tenants will both enjoy benefits if the controls are carefully selected and designed so that they integrate into a single building package.

  4. Emotion Recognition Through Body Language Using RGB-D Sensor

    DEFF Research Database (Denmark)

    Kiforenko, Lilita; Kraft, Dirk

    2016-01-01

    This paper presents results on automatic non-acted human emotion recognition using full standing body movements and postures. The focus of this paper is to show that it is possible to classify emotions using a consumer depth sensor in an everyday scenario. The features for classification are body...

  5. Permeability as an important parameter for radon risk classification of foundation soils

    Directory of Open Access Journals (Sweden)

    M. Neznal

    2005-06-01

    Full Text Available Permeability of soils and rocks for gases is one of the main parameters for final radon risk classification of building sites. For the improvement of the method for radon risk classification it is recommended to complete in situ measurements of permeability and/or results derived from grain size analysis by an expert description of parameters of soils and rocks and their changes in vertical profile.

  6. Green Buildings and Health.

    Science.gov (United States)

    Allen, Joseph G; MacNaughton, Piers; Laurent, Jose Guillermo Cedeno; Flanigan, Skye S; Eitland, Erika Sita; Spengler, John D

    2015-09-01

    Green building design is becoming broadly adopted, with one green building standard reporting over 3.5 billion square feet certified to date. By definition, green buildings focus on minimizing impacts to the environment through reductions in energy usage, water usage, and minimizing environmental disturbances from the building site. Also by definition, but perhaps less widely recognized, green buildings aim to improve human health through design of healthy indoor environments. The benefits related to reduced energy and water consumption are well-documented, but the potential human health benefits of green buildings are only recently being investigated. The objective of our review was to examine the state of evidence on green building design as it specifically relates to indoor environmental quality and human health. Overall, the initial scientific evidence indicates better indoor environmental quality in green buildings versus non-green buildings, with direct benefits to human health for occupants of those buildings. A limitation of much of the research to date is the reliance on indirect, lagging and subjective measures of health. To address this, we propose a framework for identifying direct, objective and leading "Health Performance Indicators" for use in future studies of buildings and health.

  7. Commercial Buildings Characteristics, 1992

    Energy Technology Data Exchange (ETDEWEB)

    1994-04-29

    Commercial Buildings Characteristics 1992 presents statistics about the number, type, and size of commercial buildings in the United States as well as their energy-related characteristics. These data are collected in the Commercial Buildings Energy Consumption Survey (CBECS), a national survey of buildings in the commercial sector. The 1992 CBECS is the fifth in a series conducted since 1979 by the Energy Information Administration. Approximately 6,600 commercial buildings were surveyed, representing the characteristics and energy consumption of 4.8 million commercial buildings and 67.9 billion square feet of commercial floorspace nationwide. Overall, the amount of commercial floorspace in the United States increased an average of 2.4 percent annually between 1989 and 1992, while the number of commercial buildings increased an average of 2.0 percent annually.

  8. Buildings and climate solutions

    Energy Technology Data Exchange (ETDEWEB)

    Woodbury, R.; Bartram, L.; Marques, D. [Simon Fraser Univ., Burnaby, BC (Canada); Cole, R.; Vanier, D. [British Columbia Univ., Vancouver, BC (Canada); Hyde, R. [Stantec Consulting Ltd., Surrey, BC (Canada); MacLeod, D. [Okanagan Science and Technology Council, Kelowna, BC (Canada); Mueller, T. [Canada Green Buildings Council, Ottawa, ON (Canada)

    2008-11-15

    Buildings and their stakeholders are critical elements in an effective climate change strategy, since their operation is responsible for more than 30 per cent of the world's greenhouse gases and energy consumption. The building sector comprises government; industry; building owners, occupants and users; utilities; non-governmental organizations; as well as universities, colleges and schools. Innovations in building design, construction and operation can achieve real and lasting reduction of green house gases, energy costs, water use and waste. This paper recommended a wide range of actions for the green building movement, which is aimed at improving coordination, increasing research and knowledge-sharing, and fostering expertise in the BC green building industry. It outlined elements of a strategy that would enable BC to realize the full potential of building innovation. refs., tabs., figs.

  9. Retrofitting Listed Buildings

    DEFF Research Database (Denmark)

    Rasmussen, Torben Valdbjørn

    2011-01-01

    The paper presents a case study where the energy demand for a listed building constructed in 1900 is reduced. Many older buildings are listed and have restrictions that include the entire building or that include only its exterior. For the building presented, only its exterior facade is listed....... The paper demonstrates measures for the improvement of the thermal insulation of the building with solid brick walls. Durable customised measures are shown. The customised measures are required not to change the overall exterior architecture as the building is considered to contribute to the uniqueness...... of the local urban environment and therefore listed. The reduced energy demand, related to individual measures, is estimated and building physics requirements are addressed together with the economic options for evaluating the profitability....

  10. Sequence Classification: 892453 [

    Lifescience Database Archive (English)

    Full Text Available protein (MAP) of the XMAP215/Dis1 family; regulates microtubule dynamics during spindle orientation and metaphase chromosome alignme...nt; interacts with spindle pole body component Spc72p; Stu2p || http://www.ncbi.nlm.nih.gov/protein/6323074 ...

  11. Sequence Classification: 892995 [

    Lifescience Database Archive (English)

    Full Text Available TMB TMH Non-TMB TMB TMB TMB >gi|6324141|ref|NP_014211.1| Essential protein involved in karyoga...e of the spindle pole body, interacts with Spc72p during karyogamy, also interacts with Cdc31p; Kar1p || http://www.ncbi.nlm.nih.gov/protein/6324141 ...

  12. Nonlinear estimation and classification

    CERN Document Server

    Hansen, Mark; Holmes, Christopher; Mallick, Bani; Yu, Bin

    2003-01-01

    Researchers in many disciplines face the formidable task of analyzing massive amounts of high-dimensional and highly-structured data This is due in part to recent advances in data collection and computing technologies As a result, fundamental statistical research is being undertaken in a variety of different fields Driven by the complexity of these new problems, and fueled by the explosion of available computer power, highly adaptive, non-linear procedures are now essential components of modern "data analysis," a term that we liberally interpret to include speech and pattern recognition, classification, data compression and signal processing The development of new, flexible methods combines advances from many sources, including approximation theory, numerical analysis, machine learning, signal processing and statistics The proposed workshop intends to bring together eminent experts from these fields in order to exchange ideas and forge directions for the future

  13. Transient Detection and Classification

    CERN Document Server

    Becker, Andrew C

    2008-01-01

    I provide an incomplete inventory of the astronomical variability that will be found by next-generation time-domain astronomical surveys. These phenomena span the distance range from near-Earth satellites to the farthest Gamma Ray Bursts. The surveys that detect these transients will issue alerts to the greater astronomical community; this decision process must be extremely robust to avoid a slew of ``false'' alerts, and to maintain the community's trust in the surveys. I review the functionality required of both the surveys and the telescope networks that will be following them up, and the role of VOEvents in this process. Finally, I offer some ideas about object and event classification, which will be explored more thoroughly by other articles in these proceedings.

  14. Spectral Classification Beyond M

    CERN Document Server

    Leggett, S K; Burgasser, A J; Jones, H R A; Marley, M S; Tsuji, T

    2004-01-01

    Significant populations of field L and T dwarfs are now known, and we anticipate the discovery of even cooler dwarfs by Spitzer and ground-based infrared surveys. However, as the number of known L and T dwarfs increases so does the range in their observational properties, and difficulties have arisen in interpreting the observations. Although modellers have made significant advances, the complexity of the very low temperature, high pressure, photospheres means that problems remain such as the treatment of grain condensation as well as incomplete and non-equilibrium molecular chemistry. Also, there are several parameters which control the observed spectral energy distribution - effective temperature, grain sedimentation efficiency, metallicity and gravity - and their effects are not well understood. In this paper, based on a splinter session, we discuss classification schemes for L and T dwarfs, their dependency on wavelength, and the effects of the parameters T_eff, f_sed, [m/H] and log g on optical and infra...

  15. Estuary Classification Revisited

    CERN Document Server

    Guha, Anirban

    2012-01-01

    The governing equations of a tidally averaged, width averaged, rectangular estuary has been investigated. It's theoretically shown that the dynamics of an estuary is entirely controlled by three parameters: (i) the Estuarine Froude number, (ii) the Tidal Froude number and (iii) the Estuarine Aspect ratio. The momentum, salinity and integral salt balance equations can be completely expressed in terms of these control variables. The estuary classification problem has also been reinvestigated. It's found that these three control variables can completely specify the estuary type. Comparison with real estuary data shows very good match. Additionally, we show that the well accepted leading order estuarine integral salt balance equation is inconsitent with the leading order salinity equation in an order of magnitude sense.

  16. 15 CFR 2008.9 - Classification guides.

    Science.gov (United States)

    2010-01-01

    ... 15 Commerce and Foreign Trade 3 2010-01-01 2010-01-01 false Classification guides. 2008.9 Section... REPRESENTATIVE Derivative Classification § 2008.9 Classification guides. Classification guides shall be issued by... direct derivative classification, shall identify the information to be protected in specific and...

  17. 32 CFR 2400.15 - Classification guides.

    Science.gov (United States)

    2010-07-01

    ... 32 National Defense 6 2010-07-01 2010-07-01 false Classification guides. 2400.15 Section 2400.15... Derivative Classification § 2400.15 Classification guides. (a) OSTP shall issue and maintain classification guides to facilitate the proper and uniform derivative classification of information. These guides...

  18. 14 CFR 1203.412 - Classification guides.

    Science.gov (United States)

    2010-01-01

    ... 14 Aeronautics and Space 5 2010-01-01 2010-01-01 false Classification guides. 1203.412 Section... PROGRAM Guides for Original Classification § 1203.412 Classification guides. (a) General. A classification guide, based upon classification determinations made by appropriate program and...

  19. 7 CFR 27.34 - Classification procedure.

    Science.gov (United States)

    2010-01-01

    ... 7 Agriculture 2 2010-01-01 2010-01-01 false Classification procedure. 27.34 Section 27.34... REGULATIONS COTTON CLASSIFICATION UNDER COTTON FUTURES LEGISLATION Regulations Classification and Micronaire Determinations § 27.34 Classification procedure. Classification shall proceed as rapidly as possible, but...

  20. 22 CFR 9.6 - Derivative classification.

    Science.gov (United States)

    2010-04-01

    ... CFR 2001.22. (c) Department of State Classification Guide. The Department of State Classification... 22 Foreign Relations 1 2010-04-01 2010-04-01 false Derivative classification. 9.6 Section 9.6... classification. (a) Definition. Derivative classification is the incorporating, paraphrasing, restating...

  1. Feasibility of Active Machine Learning for Multiclass Compound Classification.

    Science.gov (United States)

    Lang, Tobias; Flachsenberg, Florian; von Luxburg, Ulrike; Rarey, Matthias

    2016-01-25

    A common task in the hit-to-lead process is classifying sets of compounds into multiple, usually structural classes, which build the groundwork for subsequent SAR studies. Machine learning techniques can be used to automate this process by learning classification models from training compounds of each class. Gathering class information for compounds can be cost-intensive as the required data needs to be provided by human experts or experiments. This paper studies whether active machine learning can be used to reduce the required number of training compounds. Active learning is a machine learning method which processes class label data in an iterative fashion. It has gained much attention in a broad range of application areas. In this paper, an active learning method for multiclass compound classification is proposed. This method selects informative training compounds so as to optimally support the learning progress. The combination with human feedback leads to a semiautomated interactive multiclass classification procedure. This method was investigated empirically on 15 compound classification tasks containing 86-2870 compounds in 3-38 classes. The empirical results show that active learning can solve these classification tasks using 10-80% of the data which would be necessary for standard learning techniques.

  2. Multi-label classification for colon cancer using histopathological images.

    Science.gov (United States)

    Xu, Yan; Jiao, Liping; Wang, Siyu; Wei, Junsheng; Fan, Yubo; Lai, Maode; Chang, Eric I-Chao

    2013-12-01

    Colon cancer classification has a significant guidance value in clinical diagnoses and medical prognoses. The classification of colon cancers with high accuracy is the premise of efficient treatment. Our task is to build a system for colon cancer detection and classification based on slide histopathological images. Some former researches focus on single label classification. Through analyzing large amount of colon cancer images, we found that one image may contain cancer regions of multiple types. Therefore, we reformulated the task as multi-label problem. Four kinds of features (Color Histogram, Gray-Level Co-occurrence Matrix, Histogram of Oriented Gradients and Euler number) were introduced to compose our discriminative feature set, extracted from our dataset that includes six single categories and four multi-label categories. In order to evaluate the performance and make comparison with our multi-label model, three commonly used multi-classification methods were designed in our experiment including one-against-all SVM (OAA), one-against-one SVM (OAO) and multi-structure SVM. Four indicators (Precision, Recall, F-measure, and Accuracy) under 3-fold cross-validation were used to validate the performance of our approach. Experiment results show that the precision, recall and F-measure of multi-label method as 73.7%, 68.2%, and 70.8% with all features, which are higher than the other three classifiers. These results demonstrate the effectiveness and efficiency of our method on colon histopathological images analysis.

  3. Classification and Segmentation of Satellite Orthoimagery Using Convolutional Neural Networks

    Directory of Open Access Journals (Sweden)

    Martin Längkvist

    2016-04-01

    Full Text Available The availability of high-resolution remote sensing (HRRS data has opened up the possibility for new interesting applications, such as per-pixel classification of individual objects in greater detail. This paper shows how a convolutional neural network (CNN can be applied to multispectral orthoimagery and a digital surface model (DSM of a small city for a full, fast and accurate per-pixel classification. The predicted low-level pixel classes are then used to improve the high-level segmentation. Various design choices of the CNN architecture are evaluated and analyzed. The investigated land area is fully manually labeled into five categories (vegetation, ground, roads, buildings and water, and the classification accuracy is compared to other per-pixel classification works on other land areas that have a similar choice of categories. The results of the full classification and segmentation on selected segments of the map show that CNNs are a viable tool for solving both the segmentation and object recognition task for remote sensing data.

  4. The United Nations Framework Classification for World Petroleum Resources

    Science.gov (United States)

    Ahlbrandt, T.S.; Blystad, P.; Young, E.D.; Slavov, S.; Heiberg, S.

    2003-01-01

    The United Nations has developed an international framework classification for solid fuels and minerals (UNFC). This is now being extended to petroleum by building on the joint classification of the Society of Petroleum Engineers (SPE), the World Petroleum Congresses (WPC) and the American Association of Petroleum Geologists (AAPG). The UNFC is a 3-dimansional classification. This: Is necessary in order to migrate accounts of resource quantities that are developed on one or two of the axes to the common basis; Provides for more precise reporting and analysis. This is particularly useful in analyses of contingent resources. The characteristics of the SPE/WPC/AAPG classification has been preserved and enhanced to facilitate improved international and national petroleum resource management, corporate business process management and financial reporting. A UN intergovernmental committee responsible for extending the UNFC to extractive energy resources (coal, petroleum and uranium) will meet in Geneva on October 30th and 31st to review experiences gained and comments received during 2003. A recommended classification will then be delivered for consideration to the United Nations through the Committee on Sustainable Energy of the Economic Commission for Europe (UN ECE).

  5. Signifying Bodies

    DEFF Research Database (Denmark)

     In our everyday lives we strive to stay healthy and happy, while we live as our selves, engage with each other, and discover an infinite world of possibilities. Health arises and diminishes as human beings draw on a vibrant ecology of actions, interactions and coactions. Intricate processes...... and health care. Eschewing all forms of dualism, the authors emphasise the interdependency of how we act, think, feel and function. They advocate a relational turn in health care, in which bodies live and learn from suffering and care. In this view, health is inseparable from both living beings...... of, for example, how rheumatoid arthritis sufferers view their treatment, how decisions are made in simulated emergencies, and how therapists and homeopaths use distributed language and cognition with their clients....

  6. A Psychological Classification of Occupations.

    Science.gov (United States)

    Holland, John L.; And Others

    This occupational classification for practical and theoretical use in vocational guidance, occupational research, vocational education, and social science rests upon a theory of personality types and includes 431 common occupations which comprise about 95 percent of the United States labor force. Each of the classification's six main classes…

  7. Classification of Noncommutative Domain Algebras

    CERN Document Server

    Arias, Alvaro

    2012-01-01

    Noncommutative domain algebras are noncommutative analogues of the algebras of holomorphic functions on domains of $\\C^n$ defined by holomorphic polynomials, and they generalize the noncommutative Hardy algebras. We present here a complete classification of these algebras based upon techniques inspired by multivariate complex analysis, and more specifically the classification of domains in hermitian spaces up to biholomorphic equivalence.

  8. Classification Accuracy Is Not Enough

    DEFF Research Database (Denmark)

    Sturm, Bob L.

    2013-01-01

    A recent review of the research literature evaluating music genre recognition (MGR) systems over the past two decades shows that most works (81\\%) measure the capacity of a system to recognize genre by its classification accuracy. We show here, by implementing and testing three categorically diff...... classification accuracy obscures the aim of MGR: to select labels indistinguishable from those a person would choose....

  9. Classification of subtrochanteric femoral fractures.

    Science.gov (United States)

    Loizou, C L; McNamara, I; Ahmed, K; Pryor, G A; Parker, M J

    2010-07-01

    A review of the literature identified 15 different classification methods for subtrochanteric femoral fractures. Only eight of those classifications defined the area of bone, which constituted a subtrochanteric fracture. The actual length of femur defined as the subtrochanteric zone varied from 3 cm up to the level of the femoral isthmus. There was no agreement between the different classifications regarding the proximal and distal border or for those fractures, which traverse anatomical boundaries. In the various classifications, fractures were subdivided into 2-15 subgroups. The majority of the identified studies were unable to find the classifications useful in either determining treatment or predicting the outcome after treatment. We subdivided subtrochanteric fractures into three types based on the degree of fracture comminution. We examined the inter- and intra-observer agreement of our recommended classification. One orthopaedic consultant, one specialist hip fracture surgeon, two trainee registrar orthopaedic surgeons and one specialty trainee in orthopaedics, on two different occasions, 8 weeks apart, independently classified the radiographs of 20 patients with a subtrochanteric fracture. The mean kappa value for inter- and intra-observer variation was 0.71 and 0.79, respectively, with both showing substantial agreement and, therefore, this simpler classification is recommended. Based on the review of previous classification methods, we also recommend that the subtrochanteric zone be defined as the one in which the fracture line crossing the femur is predominantly within the area of bone extending 5 cm below the lower border of the lesser trochanter.

  10. Seismic texture classification. Final report

    Energy Technology Data Exchange (ETDEWEB)

    Vinther, R.

    1997-12-31

    The seismic texture classification method, is a seismic attribute that can both recognize the general reflectivity styles and locate variations from these. The seismic texture classification performs a statistic analysis for the seismic section (or volume) aiming at describing the reflectivity. Based on a set of reference reflectivities the seismic textures are classified. The result of the seismic texture classification is a display of seismic texture categories showing both the styles of reflectivity from the reference set and interpolations and extrapolations from these. The display is interpreted as statistical variations in the seismic data. The seismic texture classification is applied to seismic sections and volumes from the Danish North Sea representing both horizontal stratifications and salt diapers. The attribute succeeded in recognizing both general structure of successions and variations from these. Also, the seismic texture classification is not only able to display variations in prospective areas (1-7 sec. TWT) but can also be applied to deep seismic sections. The seismic texture classification is tested on a deep reflection seismic section (13-18 sec. TWT) from the Baltic Sea. Applied to this section the seismic texture classification succeeded in locating the Moho, which could not be located using conventional interpretation tools. The seismic texture classification is a seismic attribute which can display general reflectivity styles and deviations from these and enhance variations not found by conventional interpretation tools. (LN)

  11. Dewey Decimal Classification: A Quagmire.

    Science.gov (United States)

    Gamaluddin, Ahmad Fouad

    1980-01-01

    A survey of 660 Pennsylvania school librarians indicates that, though there is limited professional interest in the Library of Congress Classification system, Dewey Decimal Classification (DDC) appears to be firmly entrenched. This article also discusses the relative merits of DDC, the need for a uniform system, librarianship preparation, and…

  12. [Morphometric evaluation of relative adipose tissue content in the human body].

    Science.gov (United States)

    Sheikh-Zade, Yu R

    2012-01-01

    Analysis of the mathematical models of the human body composition revealed main shortcomings of body mass index (A. Quetelet, 1832). This allowed to offer more accurate body mass index (BMI = M/H3), body build index [BBI = (BMI)1/2] and body fatness index (BFI = M/HC2), where (M), (H) and (C) signified the mass, height and wrist circumference correspondingly.

  13. Retrieval and classification of food images.

    Science.gov (United States)

    Farinella, Giovanni Maria; Allegra, Dario; Moltisanti, Marco; Stanco, Filippo; Battiato, Sebastiano

    2016-10-01

    Automatic food understanding from images is an interesting challenge with applications in different domains. In particular, food intake monitoring is becoming more and more important because of the key role that it plays in health and market economies. In this paper, we address the study of food image processing from the perspective of Computer Vision. As first contribution we present a survey of the studies in the context of food image processing from the early attempts to the current state-of-the-art methods. Since retrieval and classification engines able to work on food images are required to build automatic systems for diet monitoring (e.g., to be embedded in wearable cameras), we focus our attention on the aspect of the representation of the food images because it plays a fundamental role in the understanding engines. The food retrieval and classification is a challenging task since the food presents high variableness and an intrinsic deformability. To properly study the peculiarities of different image representations we propose the UNICT-FD1200 dataset. It was composed of 4754 food images of 1200 distinct dishes acquired during real meals. Each food plate is acquired multiple times and the overall dataset presents both geometric and photometric variabilities. The images of the dataset have been manually labeled considering 8 categories: Appetizer, Main Course, Second Course, Single Course, Side Dish, Dessert, Breakfast, Fruit. We have performed tests employing different representations of the state-of-the-art to assess the related performances on the UNICT-FD1200 dataset. Finally, we propose a new representation based on the perceptual concept of Anti-Textons which is able to encode spatial information between Textons outperforming other representations in the context of food retrieval and Classification. Copyright © 2016 Elsevier Ltd. All rights reserved.

  14. Texture classification by texton: statistical versus binary.

    Directory of Open Access Journals (Sweden)

    Zhenhua Guo

    Full Text Available Using statistical textons for texture classification has shown great success recently. The maximal response 8 (Statistical_MR8, image patch (Statistical_Joint and locally invariant fractal (Statistical_Fractal are typical statistical texton algorithms and state-of-the-art texture classification methods. However, there are two limitations when using these methods. First, it needs a training stage to build a texton library, thus the recognition accuracy will be highly depended on the training samples; second, during feature extraction, local feature is assigned to a texton by searching for the nearest texton in the whole library, which is time consuming when the library size is big and the dimension of feature is high. To address the above two issues, in this paper, three binary texton counterpart methods were proposed, Binary_MR8, Binary_Joint, and Binary_Fractal. These methods do not require any training step but encode local feature into binary representation directly. The experimental results on the CUReT, UIUC and KTH-TIPS databases show that binary texton could get sound results with fast feature extraction, especially when the image size is not big and the quality of image is not poor.

  15. The class-specific method for classification

    Science.gov (United States)

    Baggenstoss, Paul M.

    2003-10-01

    This talk describes a new probabilistic method for classification called the ``class-specific method'' (CSM). CSM is able to avoid the ``curse of dimensionality'' which plagues most classifiers which attempt to determine the decision boundaries in a high-dimensional feature space. Using CSM, it is possible to build a theoretically optimum classifier without a common feature space. Separate low-dimensional features sets may be defined for each class, while the decision functions are projected back to the common raw data space. CSM effectively extends classical classification theory to handle multiple feature spaces. It is completely general, and requires no simplifying assumption such as Gaussianity or that data lies in linear subspaces. In real-data problems, CSM has shown orders of magnitude reductions in the false-alarm rate. CSM achieves this gain because it is able to make use of partial prior knowledge about the data classes. In contrast, the existing theory can only make use of full knowledge-that is when the parametric forms of the data probability density functions (PDFs) are known.

  16. Classification of earthquake site effects by shallow reflection seismics using a shear-wave land-streamer system

    Science.gov (United States)

    Polom, U.; Arsyad, I.; Wiyono, S.; Krawczyk, C. M.

    2007-12-01

    Touched in the SW by the Great Sumatra Fault, the densely populated delta of the Krueng Aceh River consists mainly of young alluvial sediments of clay, sand and gravel with partially high organic content. The depth of this sediment body and its internal structure are widely unknown. Whereas traditional timber constructed buildings are mostly unaffected by strong earthquakes, the change to concrete building techniques added a significant new and locally unknown seismic risk in this region. The classification of earthquake site effects in the city of Banda Aceh and the surrounding region of Aceh Besar was the aim of a high-resolution shear-wave reflection seismic survey in the Indonesian province Nanggroe Aceh Darussalam. In cooperation with the Government of Indonesia and local counterparts, this was part of the Project "Management of Georisk" of the Federal Institute for Geosciences and Natural Resources. Using shear-wave reflection seismics in combination with a land streamer has proven to be an enormously useful method in the sedimentary regions of the Aceh province with an easy and fast recording operation. In addition, the specialized seismic system accounts for compacted soil surfaces which allows a wide range of applications within cities, industrial sites, paved roads and also on small dirt roads. Using a vibrator seismic source, this technique was applied successfully also in areas of high building density in the city of Banda Aceh or in the surrounding mostly agricultural environment. Combined with standard geoengineering investigations like cone penetrometer tests, it was possible to evaluate the soil stiffness in populated urban areas down to 100 m depth in terms of the IBC2003. This is important for the exploration of new areas for save building foundation and groundwater aquifer detection in the tsunami-flooded region.

  17. Classification of seizures and epilepsy.

    Science.gov (United States)

    Riviello, James J

    2003-07-01

    The management of seizures and epilepsy begins with forming a differential diagnosis, making the diagnosis, and then classifying seizure type and epileptic syndrome. Classification guides treatment, including ancillary testing, management, prognosis, and if needed, selection of the appropriate antiepileptic drug (AED). Many AEDs are available, and certain seizure types or epilepsy syndromes respond to specific AEDs. The identification of the genetics, molecular basis, and pathophysiologic mechanisms of epilepsy has resulted from classification of specific epileptic syndromes. The classification system used by the International League Against Epilepsy is periodically revised. The proposed revision changes the classification emphasis from the anatomic origin of seizures (focal vs generalized) to seizure semiology (ie, the signs or clinical manifestations). Modified systems have been developed for specific circumstances (eg, neonatal seizures, infantile seizures, status epilepticus, and epilepsy surgery). This article reviews seizure and epilepsy classification, emphasizing new data.

  18. Information Classification on University Websites

    DEFF Research Database (Denmark)

    Nawaz, Ather; Clemmensen, Torkil; Hertzum, Morten

    2011-01-01

    Websites are increasingly used as a medium for providing information to university students. The quality of a university website depends on how well the students’ information classification fits with the structure of the information on the website. This paper investigates the information...... classification of 14 Danish and 14 Pakistani students and compares it with the information classification of their university website. Brainstorming, card sorting, and task exploration activities were used to discover similarities and differences in the participating students’ classification of website...... information and their ability to navigate the websites. The results of the study indicate group differences in user classification and related taskperformance differences. The main implications of the study are that (a) the edit distance appears a useful measure in cross-country HCI research and practice...

  19. Information Classification on University Websites

    DEFF Research Database (Denmark)

    Nawaz, Ather; Clemmensen, Torkil; Hertzum, Morten

    2011-01-01

    Websites are increasingly used as a medium for providing information to university students. The quality of a university website depends on how well the students’ information classification fits with the structure of the information on the website. This paper investigates the information...... classification of 14 Danish and 14 Pakistani students and compares it with the information classification of their university website. Brainstorming, card sorting, and task exploration activities were used to discover similarities and differences in the participating students’ classification of website...... information and their ability to navigate the websites. The results of the study indicate group differences in user classification and related task-performance differences. The main implications of the study are that (a) the edit distance appears a useful measure in cross-country HCI research and practice...

  20. Agriculture classification using POLSAR data

    DEFF Research Database (Denmark)

    Skriver, Henning; Dall, Jørgen; Ferro-Famil, Laurent

    2005-01-01

    in the crop canopy, particularly between the response of the canopy itself and soil response. It is expected that PolInSAR data will add to the classification potential of POLSAR data by their sensitivity to the vertical distribution of scatterers. Different approaches have been used to classify SAR data...... content of the SAR data they attempt to generate robust, widely applicable methods, which are nonetheless capable of taking local conditions into account. In this paper a classification approach is presented, that uses a knowledge-based approach, where the crops are first classified into broad classes, i...... of the classification process is not as well established as the first part, and both a supervised approach and a knowledge-based approach have been evaluated. Both POLSAR and PolInSAR data may be included in the classification scheme. The classification approach has been evaluated using data from the Danish EMISAR...