WorldWideScience

Sample records for classification systems adl

  1. Architecture Level Dependency Analysis of SOA Based System through ?-Adl

    OpenAIRE

    Pawan Kumar; Ratneshwer

    2016-01-01

    A formal Architecture Description Language (ADL) provides an effective way to dependency analysis at early stage of development. ?-ADL is an ADL that represents the static and dynamic features of software services. In this paper, we describe an approach of dependency analysis of SOA (Service Oriented Architecture) based system, at architecture level, through ?-ADL. A set of algorithms are also proposed for identification of dependency relationships from a SOA based system. The proposed algori...

  2. Developing Dependable Automotive Embedded Systems using the EAST-ADL

    OpenAIRE

    Chen, DeJiu; Johansson, Rolf; Lönn, Henrik; Törngren, Martin

    2007-01-01

    The complexity of embedded automotive systemscalls for a more rigorous approach to systemdevelopment compared to current state of practice. Acritical issue is the management of the engineeringinformation that defines the embedded system. TheEAST-ADL1 is an architecture description languagefor automotive embedded systems. The languageemphasizes information management as a basis forsystematic design and verification. It is currently beingrefined in the ATESST2 project.

  3. Possibility of Independence in ADL (Activities of Daily Living) for Patients with Cervical Spinal Cord Injuries : An Evaluation based on the Zancolli Classification of Residual Arm Functions

    OpenAIRE

    Yoshimura, Osamu; Takayanagi, Kiyomi; Kobayashi, Ryuji; Hosoda, Masataka; Minematsu, Akira; Sasaki, Hisato; Maejima, Hiroshi; Matsuda, Yuiti; Tanaka, Satiko; Matsuo, Akihisa; Kanemura, Naohiko

    1998-01-01

    For patients with cervical spinal cord injuries to become independent in their ADL (Activities of Daily Living), residual arm function is very important. Also, age, sex, physical strength, obesity, spasticity, pain, contracture and motivation are related. We investigated the possibility of independence in ADL for patients with cervical spinal cord injuries, carrying out our evaluation based on the Zancolli Classification of Residual Arm Functions. Zancolli classification C6BII is taken as the...

  4. A comparative study of ADL at home and at care facilities : differences between system of elderly daycare administration

    OpenAIRE

    Mitsumura, Mika; Someya, Fujiko

    2011-01-01

    [Purpose] In elderly daycare facilities, services are provided according to independence support, which is the basic philosophy of Long-Term Care Insurance, to maintain and improve the user s activities of daily living (ADL). However, the efforts aimed at independence support and methods of service vary from facility to facility. In this study, we examined the relationship between the administrations system of the facilities and the user s independence of ADL, comparing two typ...

  5. Restoring ADL function after wrist surgery in children with cerebral palsy: a novel Bilateral robot system design.

    Science.gov (United States)

    Holley, D; Theriault, A; Kamara, S; Anewenter, V; Hughes, D; Johnson, M J

    2013-06-01

    Cerebral palsy is a leading cause of disability in children and reducing its effects on arm function will improve quality of life. Our goal is to train children with CP after wrist tendon transfer surgery using a robotic therapy system consisting of two robot arms and wrist robots. The therapeutic goal is to determine if the robot training combined with surgery intervention improved functional outcomes significantly more than surgery alone. To accomplish this long-term goal we have developed a Bilateral ADL Exercise Robot, BiADLER aimed at training children with CP in reach to grasp coordination on ADLs. Specifically, the robot will provide active training using an assist-as-needed. This paper presents the design concepts. PMID:24187280

  6. 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...... 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...... classification systems and meta data taxonomies, should be based on ontologies....

  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. Oral epithelial dysplasia classification systems

    DEFF Research Database (Denmark)

    Warnakulasuriya, S; Reibel, J; Bouquot, J;

    2008-01-01

    report, we review the oral epithelial dysplasia classification systems. The three classification schemes [oral epithelial dysplasia scoring system, squamous intraepithelial neoplasia and Ljubljana classification] were presented and the Working Group recommended epithelial dysplasia grading for routine....... Several studies have shown great interexaminer and intraexaminer variability in the assessment of the presence or absence and the grade of oral epithelial dysplasia. The Working Group considered the two class classification (no/questionable/ mild - low risk; moderate or severe - implying high risk) and...

  9. Aircraft Operations Classification System

    Science.gov (United States)

    Harlow, Charles; Zhu, Weihong

    2001-01-01

    Accurate data is important in the aviation planning process. In this project we consider systems for measuring aircraft activity at airports. This would include determining the type of aircraft such as jet, helicopter, single engine, and multiengine propeller. Some of the issues involved in deploying technologies for monitoring aircraft operations are cost, reliability, and accuracy. In addition, the system must be field portable and acceptable at airports. A comparison of technologies was conducted and it was decided that an aircraft monitoring system should be based upon acoustic technology. A multimedia relational database was established for the study. The information contained in the database consists of airport information, runway information, acoustic records, photographic records, a description of the event (takeoff, landing), aircraft type, and environmental information. We extracted features from the time signal and the frequency content of the signal. A multi-layer feed-forward neural network was chosen as the classifier. Training and testing results were obtained. We were able to obtain classification results of over 90 percent for training and testing for takeoff events.

  10. Bosniak classification system

    DEFF Research Database (Denmark)

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

    2016-01-01

    BACKGROUND: The Bosniak classification was originally based on computed tomographic (CT) findings. Magnetic resonance (MR) and contrast-enhanced ultrasonography (CEUS) imaging may demonstrate findings that are not depicted at CT, and there may not always be a clear correlation between the findings...... 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...

  11. Classification system: Netherlands

    NARCIS (Netherlands)

    Hartemink, A.E.

    2006-01-01

    Although people have always classified soils, it is only since the mid 19th century that soil classification emerged as an important topic within soil science. It forced soil scientists to think systematically about soils and its genesis and developed to facilitate communication between soil scienti

  12. CLASSIFICATION FRAMEWORK FOR COASTAL SYSTEMS

    Science.gov (United States)

    U.S. Environmental Protection Agency. Classification Framework for Coastal Systems. EPA/600/R-04/061. U.S. Environmental Protection Agency, National Health and Environmental Effects Research Laboratory, Atlantic Ecology Division, Narragansett, RI, Gulf Ecology Division, Gulf Bree...

  13. Classification of Magnetic Nanoparticle Systems

    DEFF Research Database (Denmark)

    Bogren, Sara; Fornara, Andrea; Ludwig, Frank;

    2015-01-01

    This study presents classification of different magnetic single- and multi-core particle systems using their measured dynamic magnetic properties together with their nanocrystal and particle sizes. The dynamic magnetic properties are measured with AC (dynamical) susceptometry and magnetorelaxometry...

  14. Classification systems for stalking behavior.

    Science.gov (United States)

    Racine, Christopher; Billick, Stephen

    2014-01-01

    Stalking is a complex behavioral phenomenon that is unique in that it necessarily involves a prolonged dyadic relationship between both a perpetrator and a victim. Since criminalization of stalking behavior in the 1990s, different conceptual typologies have attempted to classify this behavior to assess risk and aid in management decisions. The authors reviewed the current literature regarding the most recent and accepted stalking classification systems. The three predominant stalker typologies currently in use include Zona's stalker-victim types, Mullen's stalker typology, and the RECON stalker typology. Of these, the RECON classification system alone was developed in an attempt to separate stalkers into groups based on previously known risk factors for behaviorally based phenomenon such as propensity for violence. Understanding and simplifying these classification systems may enhance the potential that new research will lead to evidence-based management and treatment strategies in the stalking situation. PMID:23980606

  15. Classifications of Linear Controlled Systems

    OpenAIRE

    Li, Jing

    2008-01-01

    This paper is devoted to a study of linear, differential and topological classifications for linear controlled systems governed by ordinary differential equations. The necessary and sufficient conditions for the linear and topological equivalence are given. It is also shown that the differential equivalence is the same as the linear equivalence for the linear controlled systems.

  16. Automated Periodontal Diseases Classification System

    Directory of Open Access Journals (Sweden)

    Aliaa A. A. Youssif

    2012-01-01

    Full Text Available This paper presents an efficient and innovative system for automated classification of periodontal diseases, The strength of our technique lies in the fact that it incorporates knowledge from the patients' clinical data, along with the features automatically extracted from the Haematoxylin and Eosin (H&E stained microscopic images. Our system uses image processing techniques based on color deconvolution, morphological operations, and watershed transforms for epithelium & connective tissue segmentation, nuclear segmentation, and extraction of the microscopic immunohistochemical features for the nuclei, dilated blood vessels & collagen fibers. Also, Feedforward Backpropagation Artificial Neural Networks are used for the classification process. We report 100% classification accuracy in correctly identifying the different periodontal diseases observed in our 30 samples dataset.

  17. URL Crawling & classification system

    OpenAIRE

    Vaagland, Emil Lindgjerdet

    2012-01-01

    Today, malware is often found on legitimate web sites that have been hacked. The aim of this thesis was to create a system to crawl potential malicious web sites and rate them as malicious or not. Through research into current malware trends and mechanisms to detect malware on the web, we analyzed and discussed the problem space, before we began design the system architecture. After we had implemented our suggested architecture, we ran the system through tests. These test shed some light on t...

  18. Automated Periodontal Diseases Classification System

    OpenAIRE

    Aliaa A. A. Youssif; Abeer Saad Gawish,; Mohammed Elsaid Moussa

    2012-01-01

    This paper presents an efficient and innovative system for automated classification of periodontal diseases, The strength of our technique lies in the fact that it incorporates knowledge from the patients' clinical data, along with the features automatically extracted from the Haematoxylin and Eosin (H&E) stained microscopic images. Our system uses image processing techniques based on color deconvolution, morphological operations, and watershed transforms for epithelium & connective tissue se...

  19. The Road Ahead for Library Classification Systems.

    Science.gov (United States)

    Mitchell, Joan S.

    1997-01-01

    Discusses knowledge organization tools in the context of seven challenges facing library classification systems. Highlights include revisions to the Dewey Decimal Classification, the Windows-based CD-ROM version of Dewey, support for machine-assisted classification, multilingual use of Dewey, use of Dewey as a general knowledge organization and…

  20. Domain-Based Classification of CSCW Systems

    Directory of Open Access Journals (Sweden)

    M. Khan

    2011-11-01

    Full Text Available CSCW systems are widely used for group activities in different organizations and setups. This study briefly describes the existing classifications of CSCW systems and their shortcomings. These existing classifications are helpful to categorize systems based on a general set of CSCW characteristics but do not provide any guidance towards system design and evaluation. After literature review of ACM CSCW conference (1986-2010, a new classification is proposed to categorize CSCW systems on the basis of domains. This proposed classification may help researchers to come up with more effective design and evaluation methods for CSCW systems.

  1. Ineffective ADL skills in women with fibromyalgia

    DEFF Research Database (Denmark)

    Von Bülow, Cecilie; Amris, Kirstine; La Cour, Karen;

    2016-01-01

    BACKGROUND: Subgroups of women with fibromyalgia likely show different activity of daily living (ADL) skill deficits. Identifying ineffective ADL skills of significance in the 'typical' woman with fibromyalgia will promote the planning of targeted occupational therapy interventions aiming at...... improving ADL ability. OBJECTIVE: To identify frequently reported ADL skill deficits of significance in subgroups of women with fibromyalgia who have decreased ADL motor ability in combination with decreased or competent ADL process ability. METHOD: Women with fibromyalgia were evaluated with the Assessment...... ability (n = 105). CONCLUSION: It is suggested that clinicians modify the individual's tasks and environments to compensate for identified ineffective ADL skills and to use the AMPS to differentiate interventions in women with fibromyalgia....

  2. Trainee Occupational Therapists Scoring the Barthel ADL.

    Science.gov (United States)

    Martin, Elizabeth; Nugent, Chris; Bond, Raymond; Martin, Suzanne

    2015-09-01

    Within medical applications there are two main types of information design; paper-based and digital information [1]. As technology is constantly changing, information within healthcare management and delivery is continually being transitioned from traditional paper documents to digital and online resources. Activity of Daily Living (ADL) charts are still predominantly paper based and are therefore prone to "human error" [2]. In light of this, an investigation has taken place into the design for reducing the amount of human error, between a paper based ADL, specifically the Barthel Index, and the same ADL created digitally. The digital ADL was developed as an online platform as this offers the best method of data capture for a large group of participants all together [3]. The aim of the study was to evaluate the usability of the Barthel Index ADL in paper format and then reproduce the same ADL digitally. This paper presents the findings of a study involving 26 participants who were familiar with ADL charts, and used three scenarios requiring them to complete both a paper ADL and a digital ADL. An evaluation was undertaken to ascertain if there were any 'human errors' in completing the paper ADL and also to find similarities/differences through using the digital ADL. The results from the study indicated that 22/26 participants agreed that the digital ADL was better, if not the same as a paper based ADL. Further results indicated that participants rate highly the added benefit of the digital ADL being easy to use and also that calculation of assessment scores were performed automatically. Statistically the digital BI offered a 100 % correction rate in the total calculation, in comparison to the paper based BI where it is more common for users to make mathematical calculation errors. Therefore in order to minimise handwriting and calculation errors, the digital BI proved superior than the traditional paper based method. PMID:26250757

  3. Classification system to describe workpieces definitions

    CERN Document Server

    Macconnell, W R

    2013-01-01

    A Classification System to Describe Workpieces provides information pertinent to the fundamental aspects and principles of coding. This book discusses the various applications of the classification system of coding.Organized into three chapters, this book begins with an overview of the requirements of a system of classification pertaining adequately and equally to design, production, and work planning. This text then examines the purpose of the classification system in production to determine the most suitable means of machining a component. Other chapters consider the optimal utilization of m

  4. Autoclass: An automatic classification system

    Science.gov (United States)

    Stutz, John; Cheeseman, Peter; Hanson, Robin

    1991-01-01

    The task of inferring a set of classes and class descriptions most likely to explain a given data set can be placed on a firm theoretical foundation using Bayesian statistics. Within this framework, and using various mathematical and algorithmic approximations, the AutoClass System searches for the most probable classifications, automatically choosing the number of classes and complexity of class descriptions. A simpler version of AutoClass has been applied to many large real data sets, has discovered new independently-verified phenomena, and has been released as a robust software package. Recent extensions allow attributes to be selectively correlated within particular classes, and allow classes to inherit, or share, model parameters through a class hierarchy. The mathematical foundations of AutoClass are summarized.

  5. Advancing Towards a Universal Soil Classification System

    Science.gov (United States)

    Owens, Phillip R.; Hempel, Jon; Micheli, Erika; McBratney, Alex

    2014-05-01

    Within the variability of soils across the globe, there are common soil attributes that pedologists have used to group soil within taxonomic classifications. Classification systems are necessary for the communication of information about soils. There are many national classification systems used within designated countries and two classification systems used globally, the US Soil Taxonomy and the World Reference Base. There is a great need for soil scientists to develop one common language or taxonomic system to communicate information within soil science as well as to other scientists in other disciplines. The International Union of Soil Sciences Working Group for Universal Soil Classification was officially established by an IUSS Council decision in August of 2010 at the World Congress of Soil Science in Brisbane, Australia. The charge for the Working Group includes development of common standards for methods and terminology in soil observations and investigations and the development of a universal soil classification system. The Universal Soil Classification Working Group was established and the initial meeting was held at Purdue University in West Lafayette, Indiana USA. The Working Group has evaluated the current national systems and the two international systems to identify gaps in knowledge. Currently, it was determined that gaps in knowledge exists in cold soil, hydromorphic, salt affected, anthropengic, and tropical soil groups. Additionally, several members of the Working Group have utilized taxonomic distance calculations from large databases to determine the clusters of similar taxonomic groupings utilizing the classification. Additionally, the databases are being used to make allocations into logical groups to recognize "Great Soil Groups". The great soil groups will be equivalent to great groups level from Soil Taxonomy along with similar levels in the World Reference Base, Australian Soil Classification and other defined soil classification systems

  6. Challenges for the present CKD classification system

    NARCIS (Netherlands)

    Gansevoort, Ron T.; de Jong, Paul E.

    2010-01-01

    Purpose of review In 2002 the Kidney Disease Outcomes Quality Initiative (K/DOQI) organization published a guideline on chronic kidney disease (CKD), which contained a classification system for CKD severity, independent of cause. This classification system was immediately widely embraced. However, s

  7. STUDY ON CLASSIFICATION SYSTEM FOR CHINESE COAL

    Institute of Scientific and Technical Information of China (English)

    陈鹏

    1998-01-01

    An integrated coal classification system-technical/commercial and scientific/geneticclassification in China is discussed in this paper. This system shall enable producers, sellers andpurchasers to communicate unambiguously with regard to the quality of coal complying with therequirements of the respective application. The determination of perfect coal classification systemis an important measure for rational utilization of coal resources.

  8. Music Genre Classification Systems - A Computational Approach

    OpenAIRE

    Ahrendt, Peter; Hansen, Lars Kai

    2006-01-01

    Automatic music genre classification is the classification of a piece of music into its corresponding genre (such as jazz or rock) by a computer. It is considered to be a cornerstone of the research area Music Information Retrieval (MIR) and closely linked to the other areas in MIR. It is thought that MIR will be a key element in the processing, searching and retrieval of digital music in the near future. This dissertation is concerned with music genre classification systems and in particular...

  9. Discriminant forest classification method and system

    Science.gov (United States)

    Chen, Barry Y.; Hanley, William G.; Lemmond, Tracy D.; Hiller, Lawrence J.; Knapp, David A.; Mugge, Marshall J.

    2012-11-06

    A hybrid machine learning methodology and system for classification that combines classical random forest (RF) methodology with discriminant analysis (DA) techniques to provide enhanced classification capability. A DA technique which uses feature measurements of an object to predict its class membership, such as linear discriminant analysis (LDA) or Andersen-Bahadur linear discriminant technique (AB), is used to split the data at each node in each of its classification trees to train and grow the trees and the forest. When training is finished, a set of n DA-based decision trees of a discriminant forest is produced for use in predicting the classification of new samples of unknown class.

  10. Gender Classification by Fuzzy Inference System

    Directory of Open Access Journals (Sweden)

    Payman Moallem

    2013-02-01

    Full Text Available Gender classification from face images has many applications and is thus an important research topic. This paper presents an approach to gender classification based on shape and texture information gathered to design a fuzzy decision making system. Beside face shape features, Zernik moments are applied as system inputs to improve the system output which is considered as the probability of being male face image. After parameters tuning of the proposed fuzzy decision making system, 85.05% classification rate on the FERET face database (including 1199 individuals from different poses and facial expressions shows acceptable results compare to other methods.

  11. Gender Classification by Fuzzy Inference System

    OpenAIRE

    Payman Moallem; B. Somayeh Mousavi

    2013-01-01

    Gender classification from face images has many applications and is thus an important research topic. This paper presents an approach to gender classification based on shape and texture information gathered to design a fuzzy decision making system. Beside face shape features, Zernik moments are applied as system inputs to improve the system output which is considered as the probability of being male face image. After parameters tuning of the proposed fuzzy decision making system, 85.05% class...

  12. Music Genre Classification Systems - A Computational Approach

    DEFF Research Database (Denmark)

    Ahrendt, Peter

    2006-01-01

    Automatic music genre classification is the classification of a piece of music into its corresponding genre (such as jazz or rock) by a computer. It is considered to be a cornerstone of the research area Music Information Retrieval (MIR) and closely linked to the other areas in MIR. It is thought...... that MIR will be a key element in the processing, searching and retrieval of digital music in the near future. This dissertation is concerned with music genre classification systems and in particular systems which use the raw audio signal as input to estimate the corresponding genre. This is in...... contrast to systems which use e.g. a symbolic representation or textual information about the music. The approach to music genre classification systems has here been system-oriented. In other words, all the different aspects of the systems have been considered and it is emphasized that the systems should...

  13. Mapping a classification system to architectural education

    DEFF Research Database (Denmark)

    Hermund, Anders; Klint, Lars; Rostrup, Nicolai

    2015-01-01

    This paper examines to what extent a new classification system, Cuneco Classification System, CCS, proves useful in the education of architects, and to what degree the aim of an architectural education, rather based on an arts and crafts approach than a polytechnic approach, benefits from the...... distinct terminology of the classification system. The method used to examine the relationship between education, practice and the CCS bifurcates in a quantitative and a qualitative exploration: Quantitative comparison of the curriculum with the students’ own descriptions of their studies through a...

  14. Classification systems for natural resource management

    Science.gov (United States)

    Kleckner, Richard L.

    1981-01-01

    Resource managers employ various types of resource classification systems in their management activities such as inventory, mapping, and data analysis. Classification is the ordering or arranging of objects into groups or sets on the basis of their relationships, and as such, provide the resource managers with a structure for organizing their needed information. In addition of conforming to certain logical principles, resource classifications should be flexible, widely applicable to a variety of environmental conditions, and useable with minimal training. The process of classification may be approached from the bottom up (aggregation) or the top down (subdivision) or a combination of both, depending on the purpose of the classification. Most resource classification systems in use today focus on a single resource and are used for a single, limited purpose. However, resource managers now must employ the concept of multiple use in their management activities. What they need is an integrated, ecologically based approach to resource classification which would fulfill multiple-use mandates. In an effort to achieve resource-data compatibility and data sharing among Federal agencies, and interagency agreement has been signed by five Federal agencies to coordinate and cooperate in the area of resource classification and inventory.

  15. Land Cover - Minnesota Land Cover Classification System

    Data.gov (United States)

    Minnesota Department of Natural Resources — Land cover data set based on the Minnesota Land Cover Classification System (MLCCS) coding scheme. This data was produced using a combination of aerial photograph...

  16. The Multidimensional Audioconferencing Classification System (MACS).

    Science.gov (United States)

    Cookson, Peter S.; Chang, Yu-bi

    1995-01-01

    Describes the development of the Multidimensional Audioconferencing Classification System (MACS), an instrument for the tabulation, analysis, and interpretation of audioconferencing instructional interactions. MACS draws on three theoretical and empirical streams: (1) systematic small group interaction analysis; (2) systematic classroom…

  17. 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…

  18. Classification of Dynamic Vehicle Routing Systems

    DEFF Research Database (Denmark)

    Larsen, Allan; Madsen, Oli B.G.; Solomon, Marius M.

    2007-01-01

    classify dynamic vehicle routing systems. Methods for evaluation of the performance of algorithms that solve on-line routing problems are discussed and we list some of the most important issues to include in the system objective. Finally, we provide a three-echelon classification of dynamic vehicle routing...... systems based on their degree of dynamism and the system objective....

  19. A statistical approach to root system classification.

    Directory of Open Access Journals (Sweden)

    Gernot eBodner

    2013-08-01

    Full Text Available Plant root systems have a key role in ecology and agronomy. In spite of fast increase in root studies, still there is no classification that allows distinguishing among distinctive characteristics within the diversity of rooting strategies. Our hypothesis is that a multivariate approach for plant functional type identification in ecology can be applied to the classification of root systems. We demonstrate that combining principal component and cluster analysis yields a meaningful classification of rooting types based on morphological traits. The classification method presented is based on a data-defined statistical procedure without a priori decision on the classifiers. Biplot inspection is used to determine key traits and to ensure stability in cluster based grouping. The classification method is exemplified with simulated root architectures and morphological field data. Simulated root architectures showed that morphological attributes with spatial distribution parameters capture most distinctive features within root system diversity. While developmental type (tap vs. shoot-borne systems is a strong, but coarse classifier, topological traits provide the most detailed differentiation among distinctive groups. Adequacy of commonly available morphologic traits for classification is supported by field data. Three rooting types emerged from measured data, distinguished by diameter/weight, density and spatial distribution respectively. Similarity of root systems within distinctive groups was the joint result of phylogenetic relation and environmental as well as human selection pressure. We concluded that the data-define classification is appropriate for integration of knowledge obtained with different root measurement methods and at various scales. Currently root morphology is the most promising basis for classification due to widely used common measurement protocols. To capture details of root diversity efforts in architectural measurement

  20. 42 CFR 412.620 - Patient classification system.

    Science.gov (United States)

    2010-10-01

    ... 42 Public Health 2 2010-10-01 2010-10-01 false Patient classification system. 412.620 Section 412... Inpatient Rehabilitation Hospitals and Rehabilitation Units § 412.620 Patient classification system. (a) Classification methodology. (1) A patient classification system is used to classify patients in...

  1. 42 CFR 412.513 - Patient classification system.

    Science.gov (United States)

    2010-10-01

    ... 42 Public Health 2 2010-10-01 2010-10-01 false Patient classification system. 412.513 Section 412... Long-Term Care Hospitals § 412.513 Patient classification system. (a) Classification methodology. CMS... LTC-DRG classification system provides a LTC-DRG, and an appropriate weighting factor, for those...

  2. Myelodysplastic syndrome: classification and prognostic systems

    Directory of Open Access Journals (Sweden)

    Rosangela Invernizzi

    2011-12-01

    Full Text Available Myelodysplastic syndromes (MDS are acquired clonal disorders of hematopoiesis, that are characterized most frequently by normocellular or hypercellular bone marrow specimens, and maturation that is morphologically and functionally dysplastic. MDS constitute a complex hematological problem: differences in disease presentation, progression and outcome have made it necessary to use classification systems to improve diagnosis, prognostication and treatment selection. On the basis of new scientific and clinical information, classification and prognostic systems have recently been updated and minimal diagnostic criteria forMDS have been proposed by expert panels. In addition, in the last few years our ability to define the prognosis of the individual patient with MDS has improved. In this paper World Health Organization (WHO classification refinements and recent prognostic scoring systems for the definition of individual risk are highlighted and current criteria are discussed. The recommendations should facilitate diagnostic and prognostic evaluations in MDS and selection of patients for new effective targeted therapies.

  3. Fission--fusion systems: classification and critique

    International Nuclear Information System (INIS)

    A useful classification scheme for hybrid systems is described and some common features that the scheme makes apparent are pointed out. The early history of fusion-fission systems is reviewed. Some designs are described along with advantages and disadvantages of each. The extension to low and moderate Q devices is noted. (U.S.)

  4. Image-based Vehicle Classification System

    CERN Document Server

    Ng, Jun Yee

    2012-01-01

    Electronic toll collection (ETC) system has been a common trend used for toll collection on toll road nowadays. The implementation of electronic toll collection allows vehicles to travel at low or full speed during the toll payment, which help to avoid the traffic delay at toll road. One of the major components of an electronic toll collection is the automatic vehicle detection and classification (AVDC) system which is important to classify the vehicle so that the toll is charged according to the vehicle classes. Vision-based vehicle classification system is one type of vehicle classification system which adopt camera as the input sensing device for the system. This type of system has advantage over the rest for it is cost efficient as low cost camera is used. The implementation of vision-based vehicle classification system requires lower initial investment cost and very suitable for the toll collection trend migration in Malaysia from single ETC system to full-scale multi-lane free flow (MLFF). This project ...

  5. INFORMATION SYSTEM SECURITY THREATS CLASSIFICATIONS

    OpenAIRE

    Sandro Gerić; Željko Hutinski

    2007-01-01

    Information systems are exposed to different types of security risks. Theconsequences of information systems security (ISS) breaches can vary from e.g. damaging the data base integrity to physical "destruction" of entire information system facilities, and can result with minor disruptions in less important segments of information systems, or with significant interruptions in information systems functionality. The sources of security risks are different, and can origin from inside or outside o...

  6. Classification and Importance of Intrusion Detection System

    Directory of Open Access Journals (Sweden)

    Rajasekaran K

    2012-08-01

    Full Text Available An intrusion detection system (IDS is a device or software application that monitors network or system activities for malicious activities or policy violations and produces reports to a Management Station. Some systems may attempt to stop an intrusion attempt but this is neither required nor expected of a monitoring system. Due to a growing number of intrusion events and also because the Internet and local networks have become so ubiquitous, organizations are increasingly implementing various systems that monitor IT security breaches. This includes an overview of the classification of intrusion detection systems and introduces the reader to some fundamental concepts of IDS methodology: audit trail analysis and on-the-fly processing as well as anomaly detection and signature detection approaches. This research paper discusses the primary intrusion detection techniques and the classification of intrusion Detection system.

  7. Classification System for Mortgage Arrear Management

    NARCIS (Netherlands)

    Sun, Zhe; Wiering, Marco; Petkov, Nicolai

    2014-01-01

    Due to the economic recession in the recent years, more and more mortgage customers default on the payments. This brings tremendous losses to banks and forces their arrear management departments to develop more efficient processes. In this paper, we propose a classification system to predict the out

  8. THE AVATARS OF HOTELS CLASSIFICATION SYSTEMS

    Directory of Open Access Journals (Sweden)

    Ana-Maria NICA

    2010-12-01

    Full Text Available As the needs and expectations of the clients evolved, stimulating the development of the hotel supply, the need for regulation of the activity domain became imperative, by adopting measures for protecting the rights and interests of final consumers or clients. To this end, the classification systems of accommodation structures are conceived and implemented, either compulsory or volunteer, officially statuated at national or regional level, consensually adopted at the level of hotel owners’ organizations or proposed by other entities, consecrated by unofficial recognition from the public. The realized research is an exploratory one, based on the collection of secondary sources.In Romania, from 1991, seven different sets of norms for star classification systems were adopted. Other example is Spain, where each of the 17 governments of the autonomous communities is entitled to adopt its own regulation. Confronted with the heterogeneity of classification systems in Europe, which affects consumers’ rights and interests for information, HOTREC, which is the confederation of hotel owners’ organizations in the European hospitality industry adopted, in 2009, a series of 21 principles regarding the establishment or revision of the national and regional hotel classification systems. In December 2009, in Prague, under the HOTREC patronage, organizations from seven countries (Germany, Austria, Hungary, Switzerland, Czech Republic, Sweden, and the Netherlands have announced the founding of the Hotelstars Union – a common system of hotel classification, which is already applied. It is expected that the number of the Hotelstars Union will increase. Nevertheless, there are voices against this attempt. What is the way Romania should choose?

  9. Common occupational classification system - revision 3

    Energy Technology Data Exchange (ETDEWEB)

    Stahlman, E.J.; Lewis, R.E.

    1996-05-01

    Workforce planning has become an increasing concern within the DOE community as the Office of Environmental Restoration and Waste Management (ER/WM or EM) seeks to consolidate and refocus its activities and the Office of Defense Programs (DP) closes production sites. Attempts to manage the growth and skills mix of the EM workforce while retaining the critical skills of the DP workforce have been difficult due to the lack of a consistent set of occupational titles and definitions across the complex. Two reasons for this difficulty may be cited. First, classification systems commonly used in industry often fail to cover in sufficient depth the unique demands of DOE`s nuclear energy and research community. Second, the government practice of contracting the operation of government facilities to the private sector has introduced numerous contractor-specific classification schemes to the DOE complex. As a result, sites/contractors report their workforce needs using unique classification systems. It becomes difficult, therefore, to roll these data up to the national level necessary to support strategic planning and analysis. The Common Occupational Classification System (COCS) is designed to overcome these workforce planning barriers. The COCS is based on earlier workforce planning activities and the input of technical, workforce planning, and human resource managers from across the DOE complex. It provides a set of mutually-exclusive occupation titles and definitions that cover the broad range of activities present in the DOE complex. The COCS is not a required record-keeping or data management guide. Neither is it intended to replace contractor/DOE-specific classification systems. Instead, the system provides a consistent, high- level, functional structure of occupations to which contractors can crosswalk (map) their job titles.

  10. Classification of the MGR Administration System

    International Nuclear Information System (INIS)

    The purpose of this analysis is to document the Quality Assurance (QA) classification of the Monitored Geologic Repository (MGR) administration system structures, systems and components (SSCs) performed by the MGR Safety Assurance Department. This analysis also provides the basis for revision of YMP/9O-55Qy Q-List (YMP 1998). The Q-List identifies those MGR SSCs subject to the requirements of DOE/RW-0333P, ''Quality Assurance Requirements and Description'' (QARD) (DOE 1998)

  11. CLASSIFICATION OF MGR GROUND CONTROL SYSTEM

    International Nuclear Information System (INIS)

    The purpose of this analysis is to document the Quality Assurance (QA) classification of the Monitored Geologic Repository (MGR) ground control system structures, systems and components (SSCs) performed by the MGR Safety Assurance Department. This analysis also provides the basis for revision of YMP/90-55Q, Q-List (YMP 1998). The Q-List identifies those MGR SSCs subject to the requirements of DOE/RW-0333PY ''Quality Assurance Requirements and Description'' (QARD) (DOE 1998)

  12. CLASSIFICATION OF THE MGR SUBSURFACE EXCAVATION SYSTEM

    International Nuclear Information System (INIS)

    The purpose of this analysis is to document the Quality Assurance (QA) classification of the Monitored Geologic Repository (MGR) subsurface excavation system structures, systems and components (SSCs) performed by the MGR Safety Assurance Department. This analysis also provides the basis for revision of YMP/90-55Q, Q-List (YMP 1998). The Q-List identifies those MGR SSCs subject to the requirements of DOE/RW-0333P, ''Quality Assurance Requirements and Description'' (QARD) (DOE 1998)

  13. CLASSIFICATION OF THE MGR SITE COMMUNICATIONS SYSTEM

    International Nuclear Information System (INIS)

    The purpose of this analysis is to document the Quality Assurance (QA) classification of the Monitored Geologic Repository (MGR) site communications system structures, systems and components (SSCs) performed by the MGR Safety Assurance Department. This analysis also provides the basis for revision of YMP/90-55Q, Q-List (YMP 1998). The Q-List identifies those MGR SSCs subject to the requirements of DOE/RW-0333P, ''Quality Assurance Requirements and Description'' (QARD) (DOE 1998)

  14. CLASSIFICATION OF THE MGR SITE WATER SYSTEM

    International Nuclear Information System (INIS)

    The purpose of this analysis is to document the Quality Assurance (QA) classification of the Monitored Geologic Repository (MGR) site water system structures, systems and components (SSCs) performed by the MGR Safety Assurance Department. This analysis also provides the basis for revision of YMP/90-55Q, Q-List (YMP 1998). The Q-List identifies those MGR SSCs subject to the requirements of DOE/RW-0333P, ''Quality Assurance Requirements and Description'' (QARD) (DOE 1998)

  15. CLASSIFICATION OF THE MGR OFFSITE UTILITIES SYSTEM

    International Nuclear Information System (INIS)

    The purpose of this analysis is to document the Quality Assurance (QA) classification of the Monitored Geologic Repository (MGR) offsite utilities system structures, systems and components (SSCs) performed by the MGR Safety Assurance Department. This analysis also provides the basis for revision of YMP/90-55Q, Q-List (YMP 1998). The Q-List identifies those MGR SSCs subject to the requirements of DOE/RW-0333P, ''Quality Assurance Requirements and Description'' (QARD) (DOE 1998)

  16. CLASSIFICATION OF THE MGR SITE OPERATIONS SYSTEM

    International Nuclear Information System (INIS)

    The purpose of this analysis is to document the Quality Assurance (QA) classification of the Monitored Geologic Repository (MGR) site operations system structures, systems and components (SSCs) performed by the MGR Safety Assurance Department. This analysis also provides the basis for revision of YMP/90-55Q, Q-List (YMP 1998). The Q-List identifies those MGR SSCs subject to the requirements of DOE/RW-0333P, ''Quality Assurance Requirements and Description'' (QARD) (DOE 1998)

  17. CLASSIFICATION OF THE MGR EMERGENCY RESPONSE SYSTEM

    International Nuclear Information System (INIS)

    The purpose of this analysis is to document the Quality Assurance (QA) classification of the Monitored Geologic Repository (MGR) emergency response system structures, systems and components (SSCs) performed by the MGR Safety Assurance Department. This analysis also provides the basis for revision of YMP/90-55Q, Q-List (YMP 1998). The Q-List identifies those MGR SSCs subject to the requirements of DOE/RW-0333P7 ''Quality Assurance Requirements and Description'' (QARD) (DOE 1998)

  18. CLASSIFICATION OF THE MGR HEALTH SAFETY SYSTEM

    International Nuclear Information System (INIS)

    The purpose of this analysis is to document the Quality Assurance (QA) classification of the Monitored Geologic Repository (MGR) health safety system structures, systems and components (SSCs) performed by the MGR Safety Assurance Department. This analysis also provides the basis for revision of YMP/90-55Q, Q-List (YMP 1998). The Q-List identifies those MGR SSCs subject to the requirements of DOE/RW-0333P, ''Quality Assurance Requirements and Description'' (QARD) (DOE 1998)

  19. Intelligent Computer Vision System for Automated Classification

    International Nuclear Information System (INIS)

    In this paper we investigate an Intelligent Computer Vision System applied for recognition and classification of commercially available cork tiles. The system is capable of acquiring and processing gray images using several feature generation and analysis techniques. Its functionality includes image acquisition, feature extraction and preprocessing, and feature classification with neural networks (NN). We also discuss system test and validation results from the recognition and classification tasks. The system investigation also includes statistical feature processing (features number and dimensionality reduction techniques) and classifier design (NN architecture, target coding, learning complexity and performance, and training with our own metaheuristic optimization method). The NNs trained with our genetic low-discrepancy search method (GLPτS) for global optimisation demonstrated very good generalisation abilities. In our view, the reported testing success rate of up to 95% is due to several factors: combination of feature generation techniques; application of Analysis of Variance (ANOVA) and Principal Component Analysis (PCA), which appeared to be very efficient for preprocessing the data; and use of suitable NN design and learning method.

  20. THE AVATARS OF HOTELS CLASSIFICATION SYSTEMS

    OpenAIRE

    Nicolae LUPU; Ana-Maria NICA

    2010-01-01

    As the needs and expectations of the clients evolved, stimulating the development of the hotel supply, the need for regulation of the activity domain became imperative, by adopting measures for protecting the rights and interests of final consumers or clients. To this end, the classification systems of accommodation structures are conceived and implemented, either compulsory or volunteer, officially statuated at national or regional level, consensually adopted at the level of hotel owners’ or...

  1. BIOPHARMACEUTICAL CLASSIFICATION SYSTEM AND BIOWAVER: AN OVERVIEW

    OpenAIRE

    Puranik Prashant K; Kasar Sagar Ashok; Gadade Deepak Dilip; Mali Prabha R

    2011-01-01

    The biopharmaceutical classification system (BCS) has been developed to provide a scientific approach for classifying drug compounds based on solubility as related to dose and intestinal permeability in combination with the dissolution properties of the oral immediate release dosage form. BCS is to provide a regulatory tool for replacing certain bioequivalence (BE) studies by accurate in vitro dissolution tests. This review gives three dimensionless numbers which are used in BCS are absorptio...

  2. Terrorism Event Classification Using Fuzzy Inference Systems

    OpenAIRE

    Dat Tran; Choochart Haruechaiyasak; Phayung Meesad; Uraiwan Inyaem

    2010-01-01

    Terrorism has led to many problems in Thai societies, not only property damage but also civilian casualties. Predicting terrorism activities in advance can help prepare and manage risk from sabotage by these activities. This paper proposes a framework focusing on event classification in terrorism domain using fuzzy inference systems (FISs). Each FIS is a decision-making model combining fuzzy logic and approximate reasoning. It is generated in five main parts: the input interface, the fuzzific...

  3. Fuzzy Soft System and Arrhythmia Classification

    OpenAIRE

    Pankaj Srivastava; Neeraja Sharma; Aparna, C. S.

    2014-01-01

    An arrhythmia is an irregularity with the speed or rhythm of the heartbeat. During an arrhythmia, the heart can beat too fast, too slow, or with an irregular rhythm. Most arrhythmias are harmless, but some can be serious or even life threatening. The present paper deals with the classification scheme of arrhythmia commonly occurring in human beings of Southeast Asian countries. Medical knowledge used in practice has been closely studied for modelling user friendly referral system to sharpen a...

  4. ADL ability characteristics of partially dependent older people: Gender and age differences in ADL ability

    OpenAIRE

    Sato, Susumu; Demura, Shinichi; Tanaka, Kiyoji; Kasuga, Kohsho; Kobayashi, Hidetsugu

    2001-01-01

    Age and gender differences in ADL ability were investigated using 568 Japanese partially dependent older people (PD, Mean age=82.2±7.76 years) living in welfare institutions. The subjects were asked about 17 ADL items representing 7 ADL domains by the professional staff working at subjects' institutions. Each item was assessed by a dichotomous scale of “possible” or “impossible”. Item proportions of “possible” response were calculated for gender and age groups (60s, 70s, 80s and 90s). Two-way...

  5. Search techniques in intelligent classification systems

    CERN Document Server

    Savchenko, Andrey V

    2016-01-01

    A unified methodology for categorizing various complex objects is presented in this book. Through probability theory, novel asymptotically minimax criteria suitable for practical applications in imaging and data analysis are examined including the special cases such as the Jensen-Shannon divergence and the probabilistic neural network. An optimal approximate nearest neighbor search algorithm, which allows faster classification of databases is featured. Rough set theory, sequential analysis and granular computing are used to improve performance of the hierarchical classifiers. Practical examples in face identification (including deep neural networks), isolated commands recognition in voice control system and classification of visemes captured by the Kinect depth camera are included. This approach creates fast and accurate search procedures by using exact probability densities of applied dissimilarity measures. This book can be used as a guide for independent study and as supplementary material for a technicall...

  6. Extensions to the Speech Disorders Classification System (SDCS)

    Science.gov (United States)

    Shriberg, Lawrence D.; Fourakis, Marios; Hall, Sheryl D.; Karlsson, Heather B.; Lohmeier, Heather L.; McSweeny, Jane L.; Potter, Nancy L.; Scheer-Cohen, Alison R.; Strand, Edythe A.; Tilkens, Christie M.; Wilson, David L.

    2010-01-01

    This report describes three extensions to a classification system for paediatric speech sound disorders termed the Speech Disorders Classification System (SDCS). Part I describes a classification extension to the SDCS to differentiate motor speech disorders from speech delay and to differentiate among three sub-types of motor speech disorders.…

  7. A system for heart sounds classification.

    Directory of Open Access Journals (Sweden)

    Grzegorz Redlarski

    Full Text Available The future of quick and efficient disease diagnosis lays in the development of reliable non-invasive methods. As for the cardiac diseases - one of the major causes of death around the globe - a concept of an electronic stethoscope equipped with an automatic heart tone identification system appears to be the best solution. Thanks to the advancement in technology, the quality of phonocardiography signals is no longer an issue. However, appropriate algorithms for auto-diagnosis systems of heart diseases that could be capable of distinguishing most of known pathological states have not been yet developed. The main issue is non-stationary character of phonocardiography signals as well as a wide range of distinguishable pathological heart sounds. In this paper a new heart sound classification technique, which might find use in medical diagnostic systems, is presented. It is shown that by combining Linear Predictive Coding coefficients, used for future extraction, with a classifier built upon combining Support Vector Machine and Modified Cuckoo Search algorithm, an improvement in performance of the diagnostic system, in terms of accuracy, complexity and range of distinguishable heart sounds, can be made. The developed system achieved accuracy above 93% for all considered cases including simultaneous identification of twelve different heart sound classes. The respective system is compared with four different major classification methods, proving its reliability.

  8. A system for heart sounds classification.

    Science.gov (United States)

    Redlarski, Grzegorz; Gradolewski, Dawid; Palkowski, Aleksander

    2014-01-01

    The future of quick and efficient disease diagnosis lays in the development of reliable non-invasive methods. As for the cardiac diseases - one of the major causes of death around the globe - a concept of an electronic stethoscope equipped with an automatic heart tone identification system appears to be the best solution. Thanks to the advancement in technology, the quality of phonocardiography signals is no longer an issue. However, appropriate algorithms for auto-diagnosis systems of heart diseases that could be capable of distinguishing most of known pathological states have not been yet developed. The main issue is non-stationary character of phonocardiography signals as well as a wide range of distinguishable pathological heart sounds. In this paper a new heart sound classification technique, which might find use in medical diagnostic systems, is presented. It is shown that by combining Linear Predictive Coding coefficients, used for future extraction, with a classifier built upon combining Support Vector Machine and Modified Cuckoo Search algorithm, an improvement in performance of the diagnostic system, in terms of accuracy, complexity and range of distinguishable heart sounds, can be made. The developed system achieved accuracy above 93% for all considered cases including simultaneous identification of twelve different heart sound classes. The respective system is compared with four different major classification methods, proving its reliability. PMID:25393113

  9. A simplified classification system for partially edentulous spaces

    OpenAIRE

    Bhandari Aruna J, Bhandari Akshay J

    2014-01-01

    Background: There is no single universally employed classification system that will specify the exact edentulous situation. Several classification systems exist to group the situation and avoid confusion. Classifications based on edentulous areas, finished restored prostheses, type of direct retainers or fulcrum lines are there. Some are based depending on the placement of the implants. Widely accepted Kennedy Applegate classification does not give any idea about length, span or number of tee...

  10. Explosives Classifications Tracking System User Manual

    Energy Technology Data Exchange (ETDEWEB)

    Genoni, R.P.

    1993-10-01

    The Explosives Classification Tracking System (ECTS) presents information and data for U.S. Department of Energy (DOE) explosives classifications of interest to EM-561, Transportation Management Division, other DOE facilities, and contractors. It is intended to be useful to the scientist, engineer, and transportation professional, who needs to classify or transport explosives. This release of the ECTS reflects upgrading of the software which provides the user with an environment that makes comprehensive retrieval of explosives related information quick and easy. Quarterly updates will be provided to the ECTS throughout its development in FY 1993 and thereafter. The ECTS is a stand alone, single user system that contains unclassified, publicly available information, and administrative information (contractor names, product descriptions, transmittal dates, EX-Numbers, etc.) information from many sources for non-decisional engineering and shipping activities. The data is the most up-to-date and accurate available to the knowledge of the system developer. The system is designed to permit easy revision and updating as new information and data become available. These, additions and corrections are welcomed by the developer. This user manual is intended to help the user install, understand, and operate the system so that the desired information may be readily obtained, reviewed, and reported.

  11. Fuzzy Rule Base System for Software Classification

    Directory of Open Access Journals (Sweden)

    Adnan Shaout

    2013-07-01

    Full Text Available Given the central role that software development plays in the delivery and application of informationtechnology, managers have been focusing on process improvement in the software development area. Thisimprovement has increased the demand for software measures, or metrics to manage the process. Thismetrics provide a quantitative basis for the development and validation of models during the softwaredevelopment process. In this paper a fuzzy rule-based system will be developed to classify java applicationsusing object oriented metrics. The system will contain the following features:Automated method to extract the OO metrics from the source code,Default/base set of rules that can be easily configured via XML file so companies, developers, teamleaders,etc, can modify the set of rules according to their needs,Implementation of a framework so new metrics, fuzzy sets and fuzzy rules can be added or removeddepending on the needs of the end user,General classification of the software application and fine-grained classification of the java classesbased on OO metrics, andTwo interfaces are provided for the system: GUI and command.

  12. Gender classification system in uncontrolled environments

    Science.gov (United States)

    Zeng, Pingping; Zhang, Yu-Jin; Duan, Fei

    2011-01-01

    Most face analysis systems available today perform mainly on restricted databases of images in terms of size, age, illumination. In addition, it is frequently assumed that all images are frontal and unconcealed. Actually, in a non-guided real-time supervision, the face pictures taken may often be partially covered and with head rotation less or more. In this paper, a special system supposed to be used in real-time surveillance with un-calibrated camera and non-guided photography is described. It mainly consists of five parts: face detection, non-face filtering, best-angle face selection, texture normalization, and gender classification. Emphases are focused on non-face filtering and best-angle face selection parts as well as texture normalization. Best-angle faces are figured out by PCA reconstruction, which equals to an implicit face alignment and results in a huge increase of the accuracy for gender classification. Dynamic skin model and a masked PCA reconstruction algorithm are applied to filter out faces detected in error. In order to fully include facial-texture and shape-outline features, a hybrid feature that is a combination of Gabor wavelet and PHoG (pyramid histogram of gradients) was proposed to equitable inner texture and outer contour. Comparative study on the effects of different non-face filtering and texture masking methods in the context of gender classification by SVM is reported through experiments on a set of UT (a company name) face images, a large number of internet images and CAS (Chinese Academy of Sciences) face database. Some encouraging results are obtained.

  13. 40 CFR 141.710 - Bin classification for filtered systems.

    Science.gov (United States)

    2010-07-01

    ... 40 Protection of Environment 22 2010-07-01 2010-07-01 false Bin classification for filtered... Cryptosporidium Treatment Technique Requirements § 141.710 Bin classification for filtered systems. (a) Following... applicable calculation for bin classification in paragraphs (b)(1) through (4) of this section. (c)...

  14. Classification using Fuzzy Cognitive Maps & Fuzzy Inference System

    OpenAIRE

    Kanika Bhutani; Yogita Gigras

    2015-01-01

    Fuzzy classification has become very necessary because of its ability to use simple linguistically interpretable rules and has get control over the limitations of symbolic or crisp rule based classifiers. This paper mainly deals with classification on the basis of soft computing techniques Fuzzy cognitive maps and fuzzy inference system. But the data available for classification contain some missing or ambiguous data so it is better to use the Neutrosophic logic for classification.

  15. Nuclear reactors transients identification and classification system

    International Nuclear Information System (INIS)

    This work describes the study and test of a system capable to identify and classify transients in thermo-hydraulic systems, using a neural network technique of the self-organizing maps (SOM) type, with the objective of implanting it on the new generations of nuclear reactors. The technique developed in this work consists on the use of multiple networks to do the classification and identification of the transient states, being each network a specialist at one respective transient of the system, that compete with each other using the quantization error, that is a measure given by this type of neural network. This technique showed very promising characteristics that allow the development of new functionalities in future projects. One of these characteristics consists on the potential of each network, besides responding what transient is in course, could give additional information about that transient. (author)

  16. Applications of CRACK in the Classification of Integrable Systems

    OpenAIRE

    Wolf, Thomas

    2003-01-01

    Work on different classification problems is described as: the classification of integrable vector evolution equations, NLS systems with two vector unknowns, systems with one scalar and one vector unknown, classification of integrable Hamiltonians and non-local 2+1 dimensional equations. All these problems lead to large bi-linear algebraic systems to be solved. In an extended appendix an overview of the computer algebra package is given that was used to solve these systems.

  17. Functional classifications for cerebral palsy: correlations between the gross motor function classification system (GMFCS), the manual ability classification system (MACS) and the communication function classification system (CFCS).

    Science.gov (United States)

    Compagnone, Eliana; Maniglio, Jlenia; Camposeo, Serena; Vespino, Teresa; Losito, Luciana; De Rinaldis, Marta; Gennaro, Leonarda; Trabacca, Antonio

    2014-11-01

    This study aimed to investigate a possible correlation between the gross motor function classification system-expanded and revised (GMFCS-E&R), the manual abilities classification system (MACS) and the communication function classification system (CFCS) functional levels in children with cerebral palsy (CP) by CP subtype. It was also geared to verify whether there is a correlation between these classification systems and intellectual functioning (IF) and parental socio-economic status (SES). A total of 87 children (47 males and 40 females, age range 4-18 years, mean age 8.9±4.2) were included in the study. A strong correlation was found between the three classifications: Level V of the GMFCS-E&R corresponds to Level V of the MACS (rs=0.67, p=0.001); the same relationship was found for the CFCS and the MACS (rs=0.73, pdisability profile were strong or moderate (GMFCS and IQ: rs=0.66, p=0.001; MACS and IQ: rs=0.58, p=0.001; CFCS and MACS: rs=0.65, p=0.001). The Kruskal-Wallis test was used to determine if there were differences between the GMFCS-E&R, the CFCS and the MACS by CP type. CP types showed different scores for the IQ level (Chi-square=8.59, df=2, p=0.014), the GMFCS-E&R (Chi-square=36.46, df=2, p<0.001), the CFCS (Chi-square=12.87, df=2, p=0.002), and the MACS Level (Chi-square=13.96, df=2, p<0.001) but no significant differences emerged for the SES (Chi-square=1.19, df=2, p=0.554). This study shows how the three functional classifications (GMFCS-E&R, CFCS and MACS) complement each other to provide a better description of the functional profile of CP. The systematic evaluation of the IQ can provide useful information about a possible future outcome for every functional level. The SES does not appear to affect functional profiles. PMID:25062096

  18. Terrorism Event Classification Using Fuzzy Inference Systems

    CERN Document Server

    Inyaem, Uraiwan; Meesad, Phayung; Tran, Dat

    2010-01-01

    Terrorism has led to many problems in Thai societies, not only property damage but also civilian casualties. Predicting terrorism activities in advance can help prepare and manage risk from sabotage by these activities. This paper proposes a framework focusing on event classification in terrorism domain using fuzzy inference systems (FISs). Each FIS is a decision-making model combining fuzzy logic and approximate reasoning. It is generated in five main parts: the input interface, the fuzzification interface, knowledge base unit, decision making unit and output defuzzification interface. Adaptive neuro-fuzzy inference system (ANFIS) is a FIS model adapted by combining the fuzzy logic and neural network. The ANFIS utilizes automatic identification of fuzzy logic rules and adjustment of membership function (MF). Moreover, neural network can directly learn from data set to construct fuzzy logic rules and MF implemented in various applications. FIS settings are evaluated based on two comparisons. The first evaluat...

  19. Alternate Communications Spectrum Study (ACSS) for Aviation Data Links (ADL)

    Science.gov (United States)

    Matolak, David W.

    2003-01-01

    The aim of the work was to identify the key factors involved in the use of alternate spectrum in various bands for a future integrated CNS data link. The study focused on systems and spectral bands that can deliver VDL-or-higher data rates in a two-way communication setting (including air-ground, ground-air, and air-air modes of operation), with multiple platforms (aircraft) operating in the same local environment. We begin with a review of the initial task list, and the final task list. The final task list contained a focus upon spectral availability and related systems that could be affected by the deployment of a new aviation data link (ADL) system. Most of this addresses the lower few layers of the communications protocol stack. A brief review of current related efforts in the aeronautical community is then provided, in which we describe several systems and programs of interest. Participation in some of these efforts is recommended. We also delineate several of the advantages and disadvantages of these system/efforts, in view of anticipated requirements of a new ADL. Desired attributes of a new ADL system are then discussed, and a connection with existing systems is made. The need to consider a wider set of alternative systems and technologies is described, and the beneficial aspects of a particular transmission technique- spread spectrum-are discussed. We then discuss in more detail several potential spectral regions, in terms of propagation conditions, available technology, spectrum availability, and waveform selection. Some comments on the need for standardization are also provided. We note that none of the existing systems described will likely meet the full range of desired features of a new ADL, but that several systems and spectral regions offer promise in terms of one or more characteristics. A system design and analysis approach is then provided. In this, we again focus on the lower few layers of the protocol stack, and aim to capture the main features

  20. Marginalization and Exclusion: Unraveling Systemic Bias in Classification

    DEFF Research Database (Denmark)

    Mai, Jens-Erik

    2016-01-01

    This paper explores the knowledge organization landscape in which Hope Olson’s numerous contri- butions to the field are situated. The paper first explores some of the foundational conceptual notions within knowledge organization that today are well-accepted. The paper then reviews Hope Olson’s c...... large library classification has unraveled the systemic bias found in all classifications. The paper calls for stronger engagement between scholarship and practice to ad- dress marginalization and exclusion in further work on classification systems....

  1. Real-time Image Scene Classification and Segmentation System

    Directory of Open Access Journals (Sweden)

    Sheng-Fuu Lin

    2013-10-01

    Full Text Available An original approach is proposed. Called the Pre-Segmented Region of Interest Classification Scene System (PSROI, this system is able both to classify a scene during a digital camera's pre-capture phase, and to determine image processor parameters that will determine the quality of the final picture: white balancing, exposure, and focus. Additionally, it also integrates with the focusing system. An imagein the classification scene system is given a value, called the focus weight. The focus weight ensures that the selected classification scene is more suitable for user vision. In the scene classification system, three scenes are set: portrait, landscape, and beach/snow. In order to perform the classification more quickly, the operation region of the image shrinks, and less computation is applied to build the system. Experimental results show that the proposed system is capable of effectively classifying scenes into the right categories within 0.2 s..

  2. Determination of a radioactive waste classification system

    Energy Technology Data Exchange (ETDEWEB)

    Cohen, J.J.; King, W.C.

    1978-03-01

    Several classification systems for radioactive wastes are reviewed and a system is developed that provides guidance on disposition of the waste. The system has three classes: high-level waste (HLW), which requires complete isolation from the biosphere for extended time periods; low-level waste (LLW), which requires containment for shorter periods; and innocuous waste (essentially nonradioactive), which may be disposed of by conventional means. The LLW/innocuous waste interface was not defined in this study. Reasonably conservative analytical scenarios were used to calculate that HLW/LLW interface level which would ensure compliance with the radiological exposure guidelines of 0.5 rem/y maximum exposure for a few isolated individuals and 0.005 rem/y for large population groups. The recommended HLW/LLW interface level for /sup 239/Pu or mixed transuranic waste is 1.0 ..mu..Ci/cm/sup 3/ of waste. Levels for other radionuclides are based upon a risk equivalent to this level. A cost-benefit analysis in accordance with as low as reasonably achievable (ALARA) and National Environmental Protection Act (NEPA) guidance indicates that further reduction of this HLW/LLL interface level would entail marginal costs greater than $10/sup 8/ per man-rem of dose avoided. The environmental effects considered were limited to those involving human exposure to radioactivity.

  3. Determination of a radioactive waste classification system

    International Nuclear Information System (INIS)

    Several classification systems for radioactive wastes are reviewed and a system is developed that provides guidance on disposition of the waste. The system has three classes: high-level waste (HLW), which requires complete isolation from the biosphere for extended time periods; low-level waste (LLW), which requires containment for shorter periods; and innocuous waste (essentially nonradioactive), which may be disposed of by conventional means. The LLW/innocuous waste interface was not defined in this study. Reasonably conservative analytical scenarios were used to calculate that HLW/LLW interface level which would ensure compliance with the radiological exposure guidelines of 0.5 rem/y maximum exposure for a few isolated individuals and 0.005 rem/y for large population groups. The recommended HLW/LLW interface level for 239Pu or mixed transuranic waste is 1.0 μCi/cm3 of waste. Levels for other radionuclides are based upon a risk equivalent to this level. A cost-benefit analysis in accordance with as low as reasonably achievable (ALARA) and National Environmental Protection Act (NEPA) guidance indicates that further reduction of this HLW/LLL interface level would entail marginal costs greater than $108 per man-rem of dose avoided. The environmental effects considered were limited to those involving human exposure to radioactivity

  4. Classification process in a text document recommender system

    Directory of Open Access Journals (Sweden)

    Dan MUNTEANU

    2005-12-01

    Full Text Available This paper presents the classification process in a recommender system used for textual documents taken especially from web. The system uses in the classification process a combination of content filters, event filters and collaborative filters and it uses implicit and explicit feedback for evaluating documents.

  5. A Curriculum-Based Classification System for Community Colleges.

    Science.gov (United States)

    Schuyler, Gwyer

    2003-01-01

    Proposes and tests a community college classification system based on curricular characteristics and their association with institutional characteristics. Seeks readily available data correlates to represent percentage of a college's course offerings that are in the liberal arts. A simple two-category classification system using total enrollment…

  6. Designing a Classification System for Internet Offenders: Doing Cognitive Distortions

    Science.gov (United States)

    Hundersmarck, Steven F.; Durkin, Keith F.; Delong, Ronald L.

    2007-01-01

    Televised features such as NBC's "To Catch a Predator" have highlighted the growing problem posed by Internet sexual predators. This paper reports on the authors' attempts in designing a classification system for Internet offenders. The classification system was designed based on existing theory, understanding the nature of Internet offenders and…

  7. Risk-based classification system of nanomaterials

    International Nuclear Information System (INIS)

    Various stakeholders are increasingly interested in the potential toxicity and other risks associated with nanomaterials throughout the different stages of a product's life cycle (e.g., development, production, use, disposal). Risk assessment methods and tools developed and applied to chemical and biological materials may not be readily adaptable for nanomaterials because of the current uncertainty in identifying the relevant physico-chemical and biological properties that adequately describe the materials. Such uncertainty is further driven by the substantial variations in the properties of the original material due to variable manufacturing processes employed in nanomaterial production. To guide scientists and engineers in nanomaterial research and application as well as to promote the safe handling and use of these materials, we propose a decision support system for classifying nanomaterials into different risk categories. The classification system is based on a set of performance metrics that measure both the toxicity and physico-chemical characteristics of the original materials, as well as the expected environmental impacts through the product life cycle. Stochastic multicriteria acceptability analysis (SMAA-TRI), a formal decision analysis method, was used as the foundation for this task. This method allowed us to cluster various nanomaterials in different ecological risk categories based on our current knowledge of nanomaterial physico-chemical characteristics, variation in produced material, and best professional judgments. SMAA-TRI uses Monte Carlo simulations to explore all feasible values for weights, criteria measurements, and other model parameters to assess the robustness of nanomaterial grouping for risk management purposes.

  8. Safety classification of nuclear power plant systems, structures and components

    International Nuclear Information System (INIS)

    The Safety Classification principles used for the systems, structures and components of a nuclear power plant are detailed in the guide. For classification, the nuclear power plant is divided into structural and operational units called systems. Every structure and component under control is included into some system. The Safety Classes are 1, 2 and 3 and the Class EYT (non-nuclear). Instructions how to assign each system, structure and component to an appropriate safety class are given in the guide. The guide applies to new nuclear power plants and to the safety classification of systems, structures and components designed for the refitting of old nuclear power plants. The classification principles and procedures applying to the classification document are also given

  9. Classification problems in object-based representation systems

    OpenAIRE

    Napoli, Amedeo

    1999-01-01

    Classification is a process that consists in two dual operations: generating a set of classes and then classifying given objects into the created classes. The class generation may be understood as a learning process and object classification as a problem-solving process. The goal of this position paper is to introduce and to make precise the notion of a classification problem in object-based representation systems, e.g. a query against a class hierarchy, to define a subsumption relation betwe...

  10. Fuzzy Inference System & Fuzzy Cognitive Maps based Classification

    OpenAIRE

    Kanika Bhutani; Gaurav; Megha Kumar

    2015-01-01

    Fuzzy classification is very necessary because it has the ability to use interpretable rules. It has got control over the limitations of crisp rule based classifiers. This paper mainly deals with classification on the basis of soft computing techniques fuzzy cognitive maps and fuzzy inference system on the lenses dataset. The results obtained with FIS shows 100% accuracy. Sometimes the data available for classification contain missing or ambiguous data so Neutrosophic logic is used for cla...

  11. A novel classification system for aging theories

    Directory of Open Access Journals (Sweden)

    Lucas Siqueira Trindade

    2013-03-01

    Full Text Available Theories of lifespan evolution are a source of confusion amongst aging researchers. After a century of aging research the dispute over whether the aging process is active or passive persists and a comprehensive and universally accepted theoretical model remains elusive. Evolutionary aging theories primarily dispute whether the aging process is exclusively adapted to favor the kin or exclusively non-adapted to favor the individual. Interestingly, contradictory data and theories supporting both exclusively programmed and exclusively non-programmed theories continue to grow. However, this is a false dichotomy; natural selection favors traits resulting in efficient reproduction whether they benefit the individual or the kin. Thus, to understand the evolution of aging, first we must understand the environment-dependent balance between the advantages and disadvantages of extended lifespan in the process of spreading genes. As described by distinct theories, different niches and environmental conditions confer on extended lifespan a range of fitness values varying from highly beneficial to highly detrimental. Here, we considered the range of fitness values for extended lifespan and develop a fitness-based framework for categorizing existing theories. We show that all theories can be classified into four basic types: secondary (beneficial, maladaptive (neutral, assisted death (detrimental and senemorphic aging (varying between beneficial to detrimental. We anticipate that this classification system will assist with understanding and interpreting aging/death by providing a way of considering theories as members of one of these classes rather than consideration of their individual details.

  12. 78 FR 58153 - Prevailing Rate Systems; North American Industry Classification System Based Federal Wage System...

    Science.gov (United States)

    2013-09-23

    ... RIN 3206-AM78 Prevailing Rate Systems; North American Industry Classification System Based Federal... Industry Classification System (NAICS) codes currently used in Federal Wage System wage survey industry..., 2013, the U.S. Office of Personnel Management (OPM) issued a proposed rule (78 FR 18252) to update...

  13. Constructing Active Architectures in the ArchWare ADL

    CERN Document Server

    Morrison, Ron; Balasubramaniam, Dharini; Mickan, Kath; Oquendo, Flavio; Cîmpan, Sorana; Warboys, Brian; Snowdon, Bob; Greenwood, Mark

    2010-01-01

    Software that cannot change is condemned to atrophy: it cannot accommodate the constant revision and re-negotiation of its business goals nor intercept the potential of new technology. To accommodate change in such systems we have defined an active software architecture to be: dynamic in that the structure and cardinality of the components and interactions are not statically known; updatable in that components can be replaced dynamically; and evolvable in that it permits its executing specification to be changed. Here we describe the facilities of the ArchWare architecture description language (ADL) for specifying active architectures. The contribution of the work is the unique combination of concepts including: a {\\pi}-calculus based communication and expression language for specifying executable architectures; hyper-code as an underlying representation of system execution; a decomposition operator to break up and introspect on executing systems; and structural reflection for creating new components and bind...

  14. Calibration of a Plastic Classification System with the Ccw Model

    International Nuclear Information System (INIS)

    This document describes the calibration of a plastic Classification system with the Ccw model (Classification by Quantum's built with Wavelet Coefficients). The method is applied to spectra of plastics usually present in domestic wastes. Obtained results are showed. (Author) 16 refs

  15. Towards a Collaborative Intelligent Tutoring System Classification Scheme

    Science.gov (United States)

    Harsley, Rachel

    2014-01-01

    This paper presents a novel classification scheme for Collaborative Intelligent Tutoring Systems (CITS), an emergent research field. The three emergent classifications of CITS are unstructured, semi-structured, and fully structured. While all three types of CITS offer opportunities to improve student learning gains, the full extent to which these…

  16. 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

  17. EAI-oriented information classification code system in manufacturing enterprises

    Institute of Scientific and Technical Information of China (English)

    Junbiao WANG; Hu DENG; Jianjun JIANG; Binghong YANG; Bailing WANG

    2008-01-01

    Although the traditional information classifi-cation coding system in manufacturing enterprises (MEs) emphasizes the construction of code standards, it lacks the management of the code creation, code data transmission and so on. According to the demands of enterprise application integration (EAI) in manufacturing enter-prises, an enterprise application integration oriented information classification code system (EAIO-ICCS) is proposed. EAIO-ICCS expands the connotation of the information classification code system and assures the identity of the codes in manufacturing enterprises with unified management of codes at the view of its lifecycle.

  18. Development of a classification system for cup anemometers - CLASSCUP

    DEFF Research Database (Denmark)

    Friis Pedersen, Troels

    2003-01-01

    objectives to quantify the errors associated with the use of cup anemometers, and to determine the requirements for an optimum design of a cup anemometer, and to develop a classification system forquantification of systematic errors of cup anemometers. The present report describes this proposed...... classification system. A classification method for cup anemometers has been developed, which proposes general external operational ranges to be used. Anormal category range connected to ideal sites of the IEC power performance standard was made, and another extended category range for complex terrain was...... proposed. General classification indices were proposed for all types of cup anemometers. As a resultof the classification, the cup anemometer will be assigned to a certain class: 0.5, 1, 2, 3 or 5 with corresponding intrinsic errors (%) as a vector instrument (3D) or as a horizontal instrument (2D). The...

  19. New C2 synchondrosal fracture classification system

    International Nuclear Information System (INIS)

    Excessive cervical flexion-extension accompanying mild to severe impact injuries can lead to C2 synchondrosal fractures in young children. To characterize and classify C2 synchondrosal fracture patterns. We retrospectively reviewed imaging and medical records of children who were treated for cervical spine fractures at our institution between 1995 and 2014. We reviewed all fractures involving the five central C2 synchondroses with regard to patient demographics, mechanism of injury, fracture pattern, associated fractures and other injuries, treatment plans and outcome. Fourteen children had fractures involving the central C2 synchondroses. There were nine boys and five girls, all younger than 6 years. We found four distinct fracture patterns. Eleven complete fractures were further divided into four subtypes (a, b, c and d) based on degree of anterior displacement of the odontoid segment and presence of distraction. Nine of these 11 children had fractures through both odontoneural synchondroses and the odontocentral synchondrosis; one had fractures involving both neurocentral synchondroses and the odontoneural synchondrosis; one had fractures through bilateral odontoneural and bilateral neurocentral synchondroses. Three children had incomplete fractures, defined as a fracture through a single odontoneural synchondrosis with or without partial extension into either the odontocentral or the adjacent neurocentral synchondroses. All complete fractures were displaced or angulated. Four had associated spinal cord injury, including two contusions (subtype c fractures) and two fatal transections (subtype d fractures). Most children were treated with primary halo stabilization. Subtype c fractures required surgical fixation. We describe four patterns of central C2 synchondrosal fractures, including two unique patterns that have not been reported. We propose a classification system to distinguish these fractures and aid in treatment planning. (orig.)

  20. New C2 synchondrosal fracture classification system

    Energy Technology Data Exchange (ETDEWEB)

    Rusin, Jerome A.; Ruess, Lynne [Department of Radiology, Nationwide Children' s Hospital, Columbus, OH (United States); The Ohio State University College of Medicine and Public Health, Columbus, OH (United States); Daulton, Robert S. [Department of Radiology, Nationwide Children' s Hospital, Columbus, OH (United States)

    2015-06-15

    Excessive cervical flexion-extension accompanying mild to severe impact injuries can lead to C2 synchondrosal fractures in young children. To characterize and classify C2 synchondrosal fracture patterns. We retrospectively reviewed imaging and medical records of children who were treated for cervical spine fractures at our institution between 1995 and 2014. We reviewed all fractures involving the five central C2 synchondroses with regard to patient demographics, mechanism of injury, fracture pattern, associated fractures and other injuries, treatment plans and outcome. Fourteen children had fractures involving the central C2 synchondroses. There were nine boys and five girls, all younger than 6 years. We found four distinct fracture patterns. Eleven complete fractures were further divided into four subtypes (a, b, c and d) based on degree of anterior displacement of the odontoid segment and presence of distraction. Nine of these 11 children had fractures through both odontoneural synchondroses and the odontocentral synchondrosis; one had fractures involving both neurocentral synchondroses and the odontoneural synchondrosis; one had fractures through bilateral odontoneural and bilateral neurocentral synchondroses. Three children had incomplete fractures, defined as a fracture through a single odontoneural synchondrosis with or without partial extension into either the odontocentral or the adjacent neurocentral synchondroses. All complete fractures were displaced or angulated. Four had associated spinal cord injury, including two contusions (subtype c fractures) and two fatal transections (subtype d fractures). Most children were treated with primary halo stabilization. Subtype c fractures required surgical fixation. We describe four patterns of central C2 synchondrosal fractures, including two unique patterns that have not been reported. We propose a classification system to distinguish these fractures and aid in treatment planning. (orig.)

  1. BASIC PRINCIPLES FOR THE MODERN CLASSIFICATION OF UNMANNED AVIATION SYSTEMS

    OpenAIRE

    Харченко, В.П.; Національний авіаційний університет; Прусов, Д.Е.; Національний авіаційний університет

    2012-01-01

     In view of the basic contemporary classification criteria attempted the classification of unmanned aircraft systems have been attempted  on the basis of available scientific and technical potential, of their applications features,  and prospects for development of information and the aircraft manufacturing technologies. Based on the global trends analysis of unmanned aircraft systems development in determining the prospects for development of unmanned aircraft systems as a class has been dis...

  2. Economic systems: scientific cognition methodology and classification criteria

    OpenAIRE

    Dmytrychenko, Liana

    2016-01-01

    The paper explores methodological approaches to determination of the essence and criteria of economic system classification. Among diversified approaches to classification of economic systems two major ones are identified, namely formational and civilizational. Researchers' views of the relation between these approaches are reviewed.It is reasoned that out of the two methodological approaches to periodization of economic systems the formational one is the most correct technique from the scien...

  3. 78 FR 18252 - Prevailing Rate Systems; North American Industry Classification System Based Federal Wage System...

    Science.gov (United States)

    2013-03-26

    ... Industry Classification System Based Federal Wage System Wage Surveys AGENCY: U. S. Office of Personnel... is issuing a proposed rule that would update the 2007 North American Industry Classification System..., the U.S. Office of Personnel Management (OPM) issued a final rule (73 FR 45853) to update the...

  4. An Artificial Immune Classification and Clustering Systems: A Survey

    Directory of Open Access Journals (Sweden)

    Stephen Ajay Anurag Beri

    2014-01-01

    Full Text Available Artificial immune systems (AIS are a class of computationally intelligent systems which consider many properties of natural immune system .Several AIS are widely used in different application areas such as classification, clustering, web mining, virus detection, learning, image processing, robotics control, bio-informatics and anomaly detection. Among this classification and clustering are widely used areas. Most of the the artificial immune system used in the classification and clustering area make use some key features of AIS such as feature extraction, recognition and learning. This paper gives an effective survey aboutartificial immune systems which are used in the classification and clustering areasand also make use of the features such as feature selection, pattern recognition and machine learning.

  5. Classification systems and selection systems: the risks of radical innovation and category spanning

    NARCIS (Netherlands)

    N.M. Wijnberg

    2011-01-01

    This paper looks at the relations between classification and competition, using the theoretical framework of selection system theory. In a particular competitive arena more than one classification system can be in use. The proportion of classification systems in use by consumers that are also in use

  6. A proposed ecosystem services classification system to support green accounting

    Science.gov (United States)

    There are a multitude of actual or envisioned, complete or incomplete, ecosystem service classification systems being proposed to support Green Accounting. Green Accounting is generally thought to be the formal accounting attempt to factor environmental production into National ...

  7. Symplectic Topology of Integrable Hamiltonian Systems, II: Topological Classification

    OpenAIRE

    Zung, Nguyen Tien

    2000-01-01

    The main purpose of this paper is to give a topological and symplectic classification of completely integrable Hamiltonian systems in terms of characteristic classes and other local and global invariants.

  8. Towards a classification of natural bi-hamiltonian systems

    OpenAIRE

    Tsiganov, A. V.

    2006-01-01

    For construction and classification of the natural integrable systems we propose to use a criterion of separability in Darboux--Nijenhuis coordinates, which can be tested without an a priori explicit knowledge of these coordinates.

  9. REAL-TIME INTELLIGENT MULTILAYER ATTACK CLASSIFICATION SYSTEM

    Directory of Open Access Journals (Sweden)

    T. Subbhulakshmi

    2014-01-01

    Full Text Available Intrusion Detection Systems (IDS takes the lion’s share of the current security infrastructure. Detection of intrusions is vital for initiating the defensive procedures. Intrusion detection was done by statistical and distance based methods. A threshold value is used in these methods to indicate the level of normalcy. When the network traffic crosses the level of normalcy then above which it is flagged as anomalous. When there are occurrences of new intrusion events which are increasingly a key part of system security, the statistical techniques cannot detect them. To overcome this issue, learning techniques are used which helps in identifying new intrusion activities in a computer system. The objective of the proposed system designed in this paper is to classify the intrusions using an Intelligent Multi Layered Attack Classification System (IMLACS which helps in detecting and classifying the intrusions with improved classification accuracy. The intelligent multi layered approach contains three intelligent layers. The first layer involves Binary Support Vector Machine classification for detecting the normal and attack. The second layer involves neural network classification to classify the attacks into classes of attacks. The third layer involves fuzzy inference system to classify the attacks into various subclasses. The proposed IMLACS can be able to detect an intrusion behavior of the networks since the system contains a three intelligent layer classification and better set of rules. Feature selection is also used to improve the time of detection. The experimental results show that the IMLACS achieves the Classification Rate of 97.31%.

  10. A simplified classification system for partially edentulous spaces

    Directory of Open Access Journals (Sweden)

    Bhandari Aruna J, Bhandari Akshay J

    2014-04-01

    Full Text Available Background: There is no single universally employed classification system that will specify the exact edentulous situation. Several classification systems exist to group the situation and avoid confusion. Classifications based on edentulous areas, finished restored prostheses, type of direct retainers or fulcrum lines are there. Some are based depending on the placement of the implants. Widely accepted Kennedy Applegate classification does not give any idea about length, span or number of teeth missing. Rule 6 governing the application of Kennedy method states that additional edentulous areas are referred as modification number 1,2 etc. Rule 7 states that extent of the modification is not considered; only the number of edentulous areas is considered. Hence there is a need to modify the Kennedy –Applegate System. Aims: This new classification system is an attempt to modify Kennedy –Applegate System so as to give the exact idea about missing teeth, space, span, side and areas of partially edentulous arches. Methods and Material: This system will provide the information regarding Maxillary or Mandibular partially edentulous arches, Left or Right side, length of the edentulous space, number of teeth missing and whether there will be tooth borne or tooth – tissue borne prosthesis. Conclusions: This classification is easy for application, communication and will also help to design the removable cast partial denture in a better logical and systematic way. Also, this system will give the idea of the edentulous status and the number of missing teeth in fixed, hybrid or implant prosthesis.

  11. Language of Czech Medical Reports and Classification Systems in Medicine

    Czech Academy of Sciences Publication Activity Database

    Přečková, Petra

    2010-01-01

    Roč. 6, č. 1 (2010), s. 58-65. ISSN 1801-5603 R&D Projects: GA MŠk(CZ) 1M06014 Institutional research plan: CEZ:AV0Z10300504 Keywords : terminology, * synonyms * classification systems * thesaurus * nomenclature * electronic health record * interoperability * semantic interoperability * cardiology * atherosclerosis Subject RIV: IN - Informatics, Computer Science http://www.ejbi.org/en/ejbi/article/53-en-language-of-czech-medical-reports-and-classification-systems-in-medicine.html

  12. A Classification System for Peri-implant Diseases and Conditions.

    Science.gov (United States)

    Sarmiento, Hector L; Norton, Michael R; Fiorellini, Joseph P

    2016-01-01

    Peri-implant bone levels are influenced by pathologic and nonpathologic conditions. The understanding of peri-implant disease has evolved over the past several decades, and the classification of peri-implantitis has been limited to descriptions of disease progression or those involving soft and/or hard tissues (peri-implant mucositis or peri-implantitis). However, no classification system has been established based on etiology. The objective of this study was to identify various etiologies for peri-implantitis and to establish a classification system based on the pathogenesis. The results indicate that the majority of bone loss was related to biofilm, followed by iatrogenic factors, exogenous irritants, absence of keratinized tissue, and extrinsic pathology. The proposed classification system will allow the clinician to properly diagnose peri-implant diseases in relation to etiology. These conditions may respond differently to applied therapies. PMID:27560674

  13. In search of classification that supports the dynamics of science: the FAO Land Cover Classification System and proposed modifications

    OpenAIRE

    Ola Ahlqvist

    2008-01-01

    Classification of geographic phenomena is often a black box to anyone outside the immediate group involved in the classification process. There is a growing need for compatibility between datasets to map, evaluate, and monitor areas in a consistent manner. The FAO (Food and Agriculture Organization of the United Nations) Land Cover Classification system (LCCS) is a proposed method to enable interoperability for land-cover data and an attempt to open the classification black box for scrutiny. ...

  14. The 2010 Standard Occupational Classification (SOC): A Classification System Gets an Update

    Science.gov (United States)

    Emmel, Alissa; Cosca, Theresa

    2010-01-01

    Making sense of occupational data isn't always easy. But the task is less daunting when the data are well organized. For Federal occupational statistics, the Standard Occupational Classification (SOC) system establishes that organization. And a recent revision to the SOC means that the data will be current, in addition to being well organized. The…

  15. On deformation and classification of V-systems

    OpenAIRE

    V. Schreiber; A.P. Veselov

    2014-01-01

    The V-systems are special finite sets of covectors which appeared in the theory of the generalized Witten-Dijkgraaf-Verlinde-Verlinde (WDVV) equations. Several families of V-systems are known but their classification is an open problem. We derive the relations describing the infinitesimal deformations of V-systems and use them to study the classification problem for V-systems in dimension 3. We discuss also possible matroidal structures of V-systems in relation with projective geometry and gi...

  16. Medical classification systems in Canada: moving toward the year 2000

    OpenAIRE

    Lalonde, A N; Taylor, E.

    1997-01-01

    The use of different standards for coding diagnoses and procedures has been identified as a major obstacle to the collection and analysis of data across the various jurisdictions in Canada. In this article the authors briefly describe the current and future situation of medical classification systems in Canada and discuss some of the potential benefits and implications of adopting the 10th revision of the International Statistical Classification of Diseases and Related Health Problems and a r...

  17. Classification system of the mineral reserves and resources of Ukraine

    International Nuclear Information System (INIS)

    This paper describes the system used to classify the resources and reserves of all minerals and fuels in Ukraine. The classification system is part of an official procedure determined by the Ukrainian State Commission on Reserves. Following preparation of resource estimates the results are registered with the State, which maintains an official inventory of all mineral resources. This paper compares the Ukrainian system to, and finds it compatible with the United Nations International Framework of resource classification. The UN system is based on economics of production and mineability. (author)

  18. Classification of solvable 3-dimensional Lie triple systems

    OpenAIRE

    Bouetou, Thomas Bouetou

    2003-01-01

    We give the classification of solvable and splitting Lie triple system and it turn that, up to isomorphism there exist 7 non isomorphic canonical Lie triple systems and 6 non isomorphic splitting canonical Lie triple systems and find the solvable Lie algebras associated.

  19. Development of the Gross Motor Function Classification System (1997)

    Science.gov (United States)

    Morris, Christopher

    2008-01-01

    To address the need for a standardized system to classify the gross motor function of children with cerebral palsy, the authors developed a five-level classification system analogous to the staging and grading systems used in medicine. Nominal group process and Delphi survey consensus methods were used to examine content validity and revise the…

  20. Video Analytics Algorithm for Automatic Vehicle Classification (Intelligent Transport System)

    OpenAIRE

    ArtaIftikhar; Ali Javed

    2013-01-01

    Automated Vehicle detection and classification is an important component of intelligent transport system. Due to significant importance in various fields such as traffic accidents avoidance, toll collection, congestion avoidance, terrorist activities monitoring, security and surveillance systems, intelligent transport system has become important field of study. Various technologies have been used for detecting and classifying vehicles automatically. Automated vehicle detection is broadly divi...

  1. Comparing the performance of different stream classification systems using aquatic macroinvertebrates

    OpenAIRE

    Márlon de Castro Vasconcelos; Adriano Sanches Melo; Albano Schwarzbold

    2013-01-01

    AIM: We evaluated five stream classification systems observing: 1) differences in richness, abundance and macroinvertebrates communities among stream classes within classification systems; and 2) whether classification systems present better performance using macroinvertebrates. Additionally, we evaluated the effects of taxonomic resolution and data type (abundance and presence) on results. METHODS: Five stream classification systems were used, two based on hydroregions, one based on ecoregio...

  2. The Revised Classification of Eukaryotes

    OpenAIRE

    Adl, Sina M; Simpson, Alastair G.B.; Lane, Christopher E.; Lukeš, Julius; Bass, David; Bowser, Samuel S.; Brown, Matthew W.; Burki, Fabien; Dunthorn, Micah; Hampl, Vladimir; Heiss, Aaron; Hoppenrath, Mona; Lara, Enrique; Le Gall, Line; Lynn, Denis H.

    2013-01-01

    This revision of the classification of eukaryotes, which updates that of Adl et al. [J. Eukaryot. Microbiol. 52 (2005) 399], retains an emphasis on the protists and incorporates changes since 2005 that have resolved nodes and branches in phylogenetic trees. Whereas the previous revision was successful in re-introducing name stability to the classification, this revision provides a classification for lineages that were then still unresolved. The supergroups have withstood phylogenetic hypothes...

  3. Application of Interactive Classification System in University Study Course Comparison

    Directory of Open Access Journals (Sweden)

    Ilze BIRZNIECE

    2015-04-01

    Full Text Available The growing amount of information in the world has increased the need for computerized classification of different objects. This situation is present in higher education as well where the possibility of effortless detection of similarity between different study courses would give the opportunity to organize student exchange programmes effectively and facilitate curriculum management and development. This area which currently relies on manual time-consuming expert activities could benefit from application of smartly adapted machine learning technologies. Data in this problem domain is complex leading to inability for automatic classification approaches to always reach the desired result in terms of classification accuracy. Therefore, our approach suggests an automated/semi-automated classification solution, which incorporates both machine learning facilities and interactive involvement of a domain expert for improving classification results. The system's prototype has been implemented and experiments are carried out. This interactive classification system allows to classify educational data, which often comes in unstructured or semi-structured, incomplete and/or insufficient form, thus reducing the number of misclassified instances significantly in comparison with the automatic machine learning approach.

  4. Systematic Review and Classification on Video Surveillance Systems

    Directory of Open Access Journals (Sweden)

    Fereshteh Falah Chamasemani

    2013-06-01

    Full Text Available Recently, various conferences and journals have published articles related to Video Surveillance Systems, indicating researchers’ attention. The goal of this review is to examine the latest works were published in journals, propose a new classification framework of video surveillance systems and investigate each aspect of this classification framework. This paper provides a comprehensive and systematic literature review of video surveillance systems from 2010-2011, extracted from six online digital libraries using article’s title and keyword. The proposed classification framework is expanded on the basis of architecture of video surveillance systems, which is composed of six layers: Concept and Foundation Layer, Network Infrastructure Layer, Processing Layer, Communication Layer, Application Layer, and User Interaction Layer. This review shows, although many publication and research focus on real-time aspect of the challenge, only few researches have investigated the deployment of extracted and retrieved information for forensic video surveillance.

  5. CLASSIFICATION OF THE MGR WASTE EMPLACEMENT/RETRIEVAL SYSTEM

    Energy Technology Data Exchange (ETDEWEB)

    J.A. Ziegler

    2000-11-08

    The purpose of this analysis is to document the Quality Assurance (QA) classification of the Monitored Geologic Repository (MGR) waste emplacement/retrieved system structures, systems and components (SSCs) performed by the MGR Preclosure Safety and Systems Engineering Section. This analysis also provides the basis for revision of YMP/90-55Q, Q-List (YMP 2000). The Q-List identifies those MGR SSCs subject to the requirements of DOE/RW-0333P, Quality Assurance Requirements and Description (QARD) (DOE 2000). This QA classification incorporates the current MGR design and the results of the ''Design Basis Event Frequency and Dose Calculation for Site Recommendation'' (CRWMS M&O 2000a). The content and technical approach of this analysis is in accordance with the development plan ''QA Classification of MGR Structures, Systems, and Components'' (CRWMS M&O 1999b).

  6. CLASSIFICATION OF THE MGR WASTE EMPLACEMENT/RETRIEVAL SYSTEM

    International Nuclear Information System (INIS)

    The purpose of this analysis is to document the Quality Assurance (QA) classification of the Monitored Geologic Repository (MGR) waste emplacement/retrieved system structures, systems and components (SSCs) performed by the MGR Preclosure Safety and Systems Engineering Section. This analysis also provides the basis for revision of YMP/90-55Q, Q-List (YMP 2000). The Q-List identifies those MGR SSCs subject to the requirements of DOE/RW-0333P, Quality Assurance Requirements and Description (QARD) (DOE 2000). This QA classification incorporates the current MGR design and the results of the ''Design Basis Event Frequency and Dose Calculation for Site Recommendation'' (CRWMS M andO 2000a). The content and technical approach of this analysis is in accordance with the development plan ''QA Classification of MGR Structures, Systems, and Components'' (CRWMS M andO 1999b)

  7. Marte CCSL to execute East-ADL Timing Requirements

    OpenAIRE

    Mallet, Frédéric; Peraldi-Frati, Marie-Agnès; André, Charles

    2009-01-01

    In the automotive domain, several loosely-coupled Architecture Description Languages (ADLs) compete to provide a set of abstract modeling and analysis services on top of the implementation code. In an effort to make all these languages, and more importantly their underlying models, interoperable, we use the UML Profile for MARTE as a pivot to define the semantics of these models. In this paper, we particularly focus on East-ADL2. We discuss the benefits of having an integrated, MARTE-centered...

  8. Ergoterapeutiske ADL-indsatser på akut psykiatrisk hospital

    DEFF Research Database (Denmark)

    Nielsen, Kristina Tomra; Petersen, Rikke; Decker, Lone

    2015-01-01

    Det første kapitel i bogen omhandler ADL-begrebet såvel på engelsk som dansk og præsenterer relevante definitioner i et historisk samt tværfagligt og ergoterapeutisk perspektiv. I de efterfølgende kapitler får man et godt indtryk af, hvordan der arbejdes med ADL bredt set, og hvilke metoder og re...

  9. 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

  10. Classification system for reporting events involving human malfunctions

    International Nuclear Information System (INIS)

    The report describes a set of categories for reporting industrial incidents and events involving human malfunction. The classification system aims at ensuring information adequate for improvement of human work situations and man-machine interface systems and for attempts to quantify ''human error'' rates. The classification system has a multifacetted non-hierarchial structure and its compatibility with Ispra's ERDS classification is described. The collection of the information in general and for quantification purposes are discussed. 24 categories, 12 of which being human factors oriented, are listed with their respective subcategories, and comments are given. Underlying models of human data processes and their typical malfunctions and of a human decision sequence are described. (author)

  11. Toward a common classification approach for biorefinery systems

    DEFF Research Database (Denmark)

    Cherubini, Francesco; Jungmeier, Gerfried; Wellisch, Maria;

    2009-01-01

    biorefinery system. The combination of individual biorefinery systems, linked through their platforms, products or feedstocks, provides an overview of the most promising biorefinery systems in a classification network. According to the proposed approach, a biorefinery is described by a standard format as......This paper deals with a biorefinery classification approach developed within International Energy Agency (IEA) Bioenergy Task 42. Since production of transportation biofuels is seen as the driving force for future biorefinery developments, a selection of the most interesting transportation biofuels...... until 2020 is based on their characteristics to be mixed with gasoline, diesel and natural gas, reflecting the main advantage of using the already-existing infrastructure for easier market introduction. This classification approach relies on four main features: (1) platforms; (2) products; (3) feedstock...

  12. Classification system for reporting events involving human malfunctions

    International Nuclear Information System (INIS)

    The report describes a set of categories for reporting industrial incidents and events involving human malfunction. The classification system aims at ensuring information adequate for improvement of human work situations and man-machine interface systems and for attempts to quantify ''human error'' rates. The classification system has a multifacetted non-hierarchical structure and its compatibility with Ispra's ERDS classification is described. The collection of the information in general and for quantification purposes are discussed. 24 categories, 12 of which being human factors-oriented, are listed with their respective subcategories, and comments are given. Underlying models of human data process and their typical malfuntions and of a human decision sequence are described. The work reported is a joint contribution to the CSNI Group of Experts on Human Error Data and Assessment

  13. What's behind the Biological Classification System in Use Today?

    Science.gov (United States)

    Robertson, William C.

    2010-01-01

    Whether students should memorize classification schemes (taxonomies) is a column in itself, but the author can address the role that this system plays in the study of biology. To that end, it will help to address how the system developed over time. And toward "that" end, you will do a simple activity to start. (Contains 3 figures.)

  14. Binary classification of real sequences by discrete-time systems

    Science.gov (United States)

    Kaliski, M. E.; Johnson, T. L.

    1979-01-01

    This paper considers a novel approach to coding or classifying sequences of real numbers through the use of (generally nonlinear) finite-dimensional discrete-time systems. This approach involves a finite-dimensional discrete-time system (which we call a real acceptor) in cascade with a threshold type device (which we call a discriminator). The proposed classification scheme and the exact nature of the classification problem are described, along with two examples illustrating its applicability. Suggested approaches for further research are given.

  15. Intelligent Decision Support System for Bank Loans Risk Classification

    Institute of Scientific and Technical Information of China (English)

    杨保安; 马云飞; 俞莲

    2001-01-01

    Intelligent Decision Support System (IISS) for Bank Loans Risk Classification (BLRC), based on the way of integration Artificial Neural Network (ANN) and Expert System (ES), is proposed. According to the feature of BLRC, the key financial and non-financial factors are analyzed. Meanwhile, ES and Model Base (MB) which contain ANN are designed . The general framework,interaction and integration of the system are given. In addition, how the system realizes BLRC is elucidated in detail.

  16. Quality assurance: The 10-Group Classification System (Robson classification), induction of labor, and cesarean delivery.

    Science.gov (United States)

    Robson, Michael; Murphy, Martina; Byrne, Fionnuala

    2015-10-01

    Quality assurance in labor and delivery is needed. The method must be simple and consistent, and be of universal value. It needs to be clinically relevant, robust, and prospective, and must incorporate epidemiological variables. The 10-Group Classification System (TGCS) is a simple method providing a common starting point for further detailed analysis within which all perinatal events and outcomes can be measured and compared. The system is demonstrated in the present paper using data for 2013 from the National Maternity Hospital in Dublin, Ireland. Interpretation of the classification can be easily taught. The standard table can provide much insight into the philosophy of care in the population of women studied and also provide information on data quality. With standardization of audit of events and outcomes, any differences in either sizes of groups, events or outcomes can be explained only by poor data collection, significant epidemiological variables, or differences in practice. In April 2015, WHO proposed that the TGCS (also known as the Robson classification) is used as a global standard for assessing, monitoring, and comparing cesarean delivery rates within and between healthcare facilities. PMID:26433499

  17. Design and implementation based on the classification protection vulnerability scanning system

    International Nuclear Information System (INIS)

    With the application and spread of the classification protection, Network Security Vulnerability Scanning should consider the efficiency and the function expansion. It proposes a kind of a system vulnerability from classification protection, and elaborates the design and implementation of a vulnerability scanning system based on vulnerability classification plug-in technology and oriented classification protection. According to the experiment, the application of classification protection has good adaptability and salability with the system, and it also approves the efficiency of scanning. (authors)

  18. Hotel Classification Systems: A Comparison of International Case Studies

    Directory of Open Access Journals (Sweden)

    Roberta Minazzi,

    2010-12-01

    Full Text Available Over the last few decades we have witnessed an increasing interest of scholars andespecially operators in service quality in the lodging business. Firstly, it is important to observe thatthe diverseness of the hospitality industry also affects the classification of hotel quality. We canactually find many programmes, classifications and seals of quality promoted by public authoritiesand private companies that create confusion in the consumer perceptions of hotel quality. Moreover,new electronic distribution channels and their ratings are becoming a new way to gather informationabout a hotel and its quality. Secondly, a point that can cause complications is that different countriesand regions can choose differing approaches depending on the features of the classification (numberof levels, symbols used, etc. and the nature of the programme (public, private. Considering theseassumptions and the recent changes in the Italian hotel classification system, this paper aims toanalyse the situation in Italy, underlining both its positive and negative aspects and comparing it withother European and North American cases. Based on a review of literature and tourism laws as wellas personal interviews with public authorities and exponents of the private sectors, we were able toidentify critical issues and trends in hotel classification systems. The comparison of case studiesshows a heterogeneous situation. Points in common are the scale and the symbol used but, if weanalyse the requirements of each category, we discover very different circumstances, also sometimesin the same country. A future European classification system could be possible only after astandardization of minimum requirements and criteria at a national level. In this situation brands andonline consumers’ feedbacks become even more considered by the customers in the hospitalityindustry.

  19. Systems Competence: Operationalization, Evaluation and Theoretic Classification

    OpenAIRE

    Paukert, Marco

    2011-01-01

    This thesis pursues the question of how trainings for counseling competences have to be laid out to be effective and how evaluation procedures have to be set up to capture the competence development in this field. The construct systems competence is the starting point for these thoughts. It lists the competences, skills, abilities, and knowledge aspects that are necessary for working with complex, social systems. It is based on the theoretical considerations of Synergetics; a systems theory t...

  20. A Classification of Adaptive Feedback in Educational Systems for Programming

    OpenAIRE

    Nguyen-Thinh Le

    2016-01-01

    Over the last three decades, many educational systems for programming have been developed to support learning/teaching programming. In this paper, feedback types that are supported by existing educational systems for programming are classified. In order to be able to provide feedback, educational systems for programming deployed various approaches to analyzing students’ programs. This paper identifies analysis approaches for programs and introduces a classification for adaptive feedback suppo...

  1. Aggregated Fuzzy System for Classification of EEG Spectrograms

    Czech Academy of Sciences Publication Activity Database

    Coufal, David

    Anheim: ACTA Press, 2009 - (Hamza, M.), s. 16-21 ISBN 978-0-88986-814-4. [ISC 2009. IASTED International Conference on Intelligent Systems and Control /12./. Cambridge (US), 02.12.2009-04.12.2009] R&D Projects: GA MDS 1F84B/042/520 Institutional research plan: CEZ:AV0Z10300504 Keywords : EEG classification * microsleeps detection * implicative fuzzy systems * radial fuzzy systems Subject RIV: IN - Informatics, Computer Science

  2. The Nature of the Physical Microenvironment: An Expanded Classification System.

    Science.gov (United States)

    Wachs, Theodore D.

    1989-01-01

    Develops a classification system for the physical environment based on 3 dimensions of stimulation. Intercorrelations of physical and social environmental measures obtained for 88 infants of 12 months supported the validity of the decision rule that nonresponsive animate stimulation is primarily physical rather than social. (RJC)

  3. Performance of classification confidence measures in dynamic classifier systems

    Czech Academy of Sciences Publication Activity Database

    Štefka, D.; Holeňa, Martin

    2013-01-01

    Roč. 23, č. 4 (2013), s. 299-319. ISSN 1210-0552 R&D Projects: GA ČR GA13-17187S Institutional support: RVO:67985807 Keywords : classifier combining * dynamic classifier systems * classification confidence Subject RIV: IN - Informatics, Computer Science Impact factor: 0.412, year: 2013

  4. Image interpretation for a multilevel land use classification system

    Science.gov (United States)

    1973-01-01

    The potential use is discussed of three remote sensors for developing a four level land use classification system. Three types of imagery for photointerpretation are presented: ERTS-1 satellite imagery, high altitude photography, and medium altitude photography. Suggestions are given as to which remote sensors and imagery scales may be most effectively employed to provide data on specific types of land use.

  5. Standard practice for classification of computed radiology systems

    CERN Document Server

    American Society for Testing and Materials. Philadelphia

    2005-01-01

    1.1 This practice describes the evaluation and classification of a computed radiography (CR) system, a particular phosphor imaging plate (IP), system scanner and software, in combination with specified metal screens for industrial radiography. It is intended to ensure that the evaluation of image quality, as far as this is influenced by the scanner/IP system, meets the needs of users. 1.2 The practice defines system tests to be used to classify the systems of different suppliers and make them comparable for users. 1.3 The CR system performance is described by signal and noise parameters. For film systems, the signal is represented by gradient and the noise by granularity. The signal-to-noise ratio is normalized by the basic spatial resolution of the system and is part of classification. The normalization is given by the scanning aperture of 100 µm diameter for the micro-photometer, which is defined in Test Method E1815 for film system classification. This practice describes how the parameters shall be meas...

  6. On a production system using default reasoning for pattern classification

    Science.gov (United States)

    Barry, Matthew R.; Lowe, Carlyle M.

    1990-01-01

    This paper addresses an unconventional application of a production system to a problem involving belief specialization. The production system reduces a large quantity of low-level descriptions into just a few higher-level descriptions that encompass the problem space in a more tractable fashion. This classification process utilizes a set of descriptions generated by combining the component hierarchy of a physical system with the semantics of the terminology employed in its operation. The paper describes an application of this process in a program, constructed in C and CLIPS, that classifies signatures of electromechanical system configurations. The program compares two independent classifications, describing the actual and expected system configurations, in order to generate a set of contradictions between the two.

  7. Intrusion Detection System with Hierarchical Different Parallel Classification

    Directory of Open Access Journals (Sweden)

    Behrouz Safaiezadeh

    2015-12-01

    Full Text Available Todays, lives integrated to networks and internet. The needed information is transmitted through networks. So, someone may attempt to abuse the information and attack and make changes by weakness of networks. Intrusion Detection System is a system capable to detect some attacks. The system detects attacks through classifier construction and considering IP in network. The recent researches showed that a fundamental classification cannot be effective lonely and due to its errors, but mixing some classifications provide better efficiency. So, the current study attempt to design three classes of support vector machine, the neural network of multilayer perceptron and parallel fuzzy system in which there are trained dataset and capability to detect two classes. Finally, decisions made by an intermediate network due to type of attack. In the present research, suggested system tested through dataset of KDD99 and results indicated appropriate efficiency 99.71% in average.

  8. Classification of Recommender Expertise in the Wikipedia Recommender System

    DEFF Research Database (Denmark)

    Jensen, Christian D.; Pilkauskas, Povilas; Lefevre, Thomas

    2011-01-01

    The Wikipedia is a web-based encyclopedia, written and edited collaboratively by Internet users. The Wikipedia has an extremely open editorial policy that allows anybody, to create or modify articles. This has promoted a broad and detailed coverage of subjects, but also introduced problems relati...... and present an evaluation of four existing knowledge classification schemes with respect to these requirements. This evaluation helped us identify a classification scheme, which we have implemented in the current version of the Wikipedia Recommender System....... to the quality of articles. The Wikipedia Recommender System (WRS) was developed to help users determine the credibility of articles based on feedback from other Wikipedia users. The WRS implements a collaborative filtering system with trust metrics, i.e., it provides a rating of articles "which...... articles in the Wikipedia. In this paper, we examine different ways to classify the subject area of Wikipedia article according to well established knowledge classification schemes. We identify a number of requirements that a classification scheme must meet in order to be useful in the context of the WRS...

  9. Classification of Recommender Expertise in the Wikipedia Recommender System

    DEFF Research Database (Denmark)

    Jensen, Christian D.; Pilkauskas, Povilas; Lefévre, Thomas

    2011-01-01

    The Wikipedia is a web-based encyclopedia, written and edited collaboratively by Internet users. The Wikipedia has an extremely open editorial policy that allows anybody, to create or modify articles. This has promoted a broad and detailed coverage of subjects, but also introduced problems relati...... and present an evaluation of four existing knowledge classification schemes with respect to these requirements. This evaluation helped us identify a classification scheme, which we have implemented in the current version of the Wikipedia Recommender System....... to the quality of articles. The Wikipedia Recommender System (WRS) was developed to help users determine the credibility of articles based on feedback from other Wikipedia users. The WRS implements a collaborative filtering system with trust metrics, i.e., it provides a rating of articles which...... articles in the Wikipedia. In this paper, we examine different ways to classify the subject area of Wikipedia article according to well established knowledge classification schemes. We identify a number of requirements that a classification scheme must meet in order to be useful in the context of the WRS...

  10. Creating a Canonical Scientific and Technical Information Classification System for NCSTRL+

    Science.gov (United States)

    Tiffany, Melissa E.; Nelson, Michael L.

    1998-01-01

    The purpose of this paper is to describe the new subject classification system for the NCSTRL+ project. NCSTRL+ is a canonical digital library (DL) based on the Networked Computer Science Technical Report Library (NCSTRL). The current NCSTRL+ classification system uses the NASA Scientific and Technical (STI) subject classifications, which has a bias towards the aerospace, aeronautics, and engineering disciplines. Examination of other scientific and technical information classification systems showed similar discipline-centric weaknesses. Traditional, library-oriented classification systems represented all disciplines, but were too generalized to serve the needs of a scientific and technically oriented digital library. Lack of a suitable existing classification system led to the creation of a lightweight, balanced, general classification system that allows the mapping of more specialized classification schemes into the new framework. We have developed the following classification system to give equal weight to all STI disciplines, while being compact and lightweight.

  11. Understanding Acupuncture Based on ZHENG Classification from System Perspective

    OpenAIRE

    Junwei Fang; Ningning Zheng; Yang Wang; Huijuan Cao; Shujun Sun; Jianye Dai; Qianhua Li; Yongyu Zhang

    2013-01-01

    Acupuncture is an efficient therapy method originated in ancient China, the study of which based on ZHENG classification is a systematic research on understanding its complexity. The system perspective is contributed to understand the essence of phenomena, and, as the coming of the system biology era, broader technology platforms such as omics technologies were established for the objective study of traditional chinese medicine (TCM). Omics technologies could dynamically determine molecular c...

  12. CLASSIFICATION OF THE MGR WASTE TREATMENT BUILDING VENTILATION SYSTEM

    International Nuclear Information System (INIS)

    The purpose of this analysis is to document the Quality Assurance (QA) classification of the Monitored Geologic Repository (MGR) waste treatment building ventilation system structures, systems and components (SSCs) performed by the MGR Safety Assurance Department. This analysis also provides the basis for revision of YMP/90-55Q, Q-List (YMP 1998). The Q-List identifies those MGR SSCs subject to the requirements of DOE/RW-0333P, ''Quality Assurance Requirements and Description'' (QARD) (DOE 1998)

  13. CLASSIFICATION OF THE MGR MAINTENANCE AND SUPPLY SYSTEM

    International Nuclear Information System (INIS)

    The purpose of this analysis is to document the Quality Assurance (QA) classification of the Monitored Geologic Repository (MGR) maintenance and supply system structures, systems and components (SSCs) performed by the MGR Safety Assurance Department. This analysis also provides the basis for revision of YMP/90-55Q, Q-List (YMP 1998). The Q-List identifies those MGR SSCs subject to the requirements of DOE/RW-0333P, ''Quality Assurance Requirements and Description'' (QARD) (DOE 1998)

  14. CLASSIFICATION OF THE MGR WASTE HANDLING BUILDING SYSTEM

    International Nuclear Information System (INIS)

    The purpose of this analysis is to document the Quality Assurance (QA) classification of the Monitored Geologic Repository (MGR) waste handling building system structures, systems and components (SSCs) performed by the MGR Safety Assurance Department. This analysis also provides the basis for revision of YMP/90-55Q, Q-List (YMP 1998). The Q-List identifies those MGR SSCs subject to the requirements of DOE/RW-0333PY ''Quality Assurance Requirements and Description'' (QARD) (DOE 1998)

  15. CLASSIFICATION OF THE MGR SUBSURFACE COMPRESSED AIR SYSTEM

    International Nuclear Information System (INIS)

    The purpose of this analysis is to document the Quality Assurance (QA) classification of the Monitored Geologic Repository (MGR) subsurface compressed air system structures, systems and components (SSCs) performed by the MGR Safety Assurance Department. This analysis also provides the basis for revision of YMP/90-55Q, Q-List (YMP 1998). The Q-List identifies those MGR SSCs subject to the requirements of DOE/RW-0333P, ''Quality Assurance Requirements and Description'' (QARD) (DOE 1998)

  16. CLASSIFICATION OF THE MGR WASTE TREATMENT BUILDING SYSTEM

    International Nuclear Information System (INIS)

    The purpose of this analysis is to document the Quality Assurance (QA) classification of the Monitored Geologic Repository (MGR) waste treatment building system structures, systems and components (SSCs) performed by the MGR Safety Assurance Department. This analysis also provides the basis for revision of YMP/90-55Q, Q-List (YMP 1998). The Q-List identifies those MGR SSCs subject to the requirements of DOE/RW-0333P, ''Quality Assurance Requirements and Description'' (QARD) (DOE 1998)

  17. CLASSIFICATION OF THE MGR SUBSURFACE FIRE PROTECTION SYSTEM

    International Nuclear Information System (INIS)

    The purpose of this analysis is to document the Quality Assurance (QA) classification of the Monitored Geologic Repository (MGR) subsurface fire protection system structures, systems and components (SSCs) performed by the MGR Safety Assurance Department. This analysis also provides the basis for revision of YMP/90-55Q, Q-List (YMP 1998). The Q-List identifies those MGR SSCs subject to the requirements of DOE/RW-0333P, ''Quality Assurance Requirements and Description'' (QARD) (DOE 1998)

  18. CLASSIFICATION OF THE MGR CARRIER/CASK TRANSPORT SYSTEM

    International Nuclear Information System (INIS)

    The purpose of this analysis is to document the Quality Assurance (QA) classification of the Monitored Geologic Repository (MGR) carrier/cask transport system structures, systems and components (SSCs) performed by the MGR Safety Assurance Department. This analysis also provides the basis for revision of YMP/90-55Q, Q-List (YMP 1998). The Q-List identifies those MGR SSCs subject to the requirements of DOE/RW-0333P, ''Quality Assurance Requirements and Description'' (QARD) (DOE 1998)

  19. CLASSIFICATION OF THE MGR WASTE HANDLING BUILDING FIRE PROTECTION SYSTEM

    International Nuclear Information System (INIS)

    The purpose of this analysis is to document the Quality Assurance (QA) classification of the Monitored Geologic Repository (MGR) waste handling building fire protection system structures, systems and components (SSCs) performed by the MGR Safety Assurance Department. This analysis also provides the basis for revision of YMP/90-55Q, Q-List (YMP 1998). The Q-List identifies those MGR SSCs subject to the requirements of DOE/RW-0333PY ''Quality Assurance Requirements and Description'' (QARD) (DOE 1998)

  20. CLASSIFICATION OF THE MGR SUBSURFACE WATER COLLECTION/REMOVAL SYSTEM

    International Nuclear Information System (INIS)

    The purpose of this analysis is to document the Quality Assurance (QA) classification of the Monitored Geologic Repository (MGR) subsurface water collection/removal system structures, systems and components (SSCs) performed by the MGR Safety Assurance Department. This analysis also provides the basis for revision of YMP/90-55Q, Q-List (YMP 1998). The Q-List identifies those MGR SSCs subject to the requirements of DOE/RW-0333P, ''Quality Assurance Requirements and Description'' (QARD) (DOE 1998)

  1. CLASSIFICATION OF THE MGR WASTE HANDLING BUILDING ELECTRICAL SYSTEM

    International Nuclear Information System (INIS)

    The purpose of this analysis is to document the Quality Assurance (QA) classification of the Monitored Geologic Repository (MGR) waste handling building electrical system structures, systems and components (SSCs) performed by the MGR Safety Assurance Department. This analysis also provides the basis for revision of YMP/90-55Q, Q-List (YMP 1998). The Q-List identifies those MGR SSCs subject to the requirements of DOE/RW-0333P, ''Quality Assurance Requirements and Description'' (QARD) (DOE 1998)

  2. CLASSIFICATION OF THE MGR POOL WATER TREATMENT AND COOLING SYSTEM

    International Nuclear Information System (INIS)

    The purpose of this analysis is to document the Quality Assurance (QA) classification of the Monitored Geologic Repository (MGR) pool water treatment and cooling system structures, systems and components (SSCs) performed by the MGR Safety Assurance Department. This analysis also provides the basis for revision of YMP/90-55Q, Q-List (YMP 1998). The Q-List identifies those MGR SSCs subject to the requirements of DOE/RW-0333P, ''Quality Assurance Requirements and Description'' (QARD) (DOE 1998)

  3. CLASSIFICATION OF THE MGR SITE GENERATED RADIOLOGICAL WASTE HANDLING SYSTEM

    International Nuclear Information System (INIS)

    The purpose of this analysis is to document the Quality Assurance (QA) classification of the Monitored Geologic Repository (MGR) site-generated radiological waste handling system structures, systems and components (SSCs) performed by the MGR Safety Assurance Department. This analysis also provides the basis for revision of YMP/90-55Q, Q-List (YMP 1998). The Q-List identifies those MGR SSCs subject to the requirements of DOE/RW-0333P, ''Quality Assurance Requirements and Description'' (QARD) (DOE 1998)

  4. CLASSIFICATION OF THE MGR SURFACE ENVIRONMENTAL MONITORING SYSTEM

    International Nuclear Information System (INIS)

    The purpose of this analysis is to document the Quality Assurance (QA) classification of the Monitored Geologic Repository (MGR) surface environmental monitoring system structures, systems and components (SSCs) performed by the MGR Safety Assurance Department. This analysis also provides the basis for revision of YMP/90-55Q, Q-List (YMP 1998). The Q-List identifies those MGR SSCs subject to the requirements of DOE/RW-0333PY ''Quality Assurance Requirements and Description'' (QARD) (DOE 1998)

  5. CLASSIFICATION OF THE MGR CANISTERED SNF DISPOSAL CONTAINER SYSTEM

    International Nuclear Information System (INIS)

    The purpose of this analysis is to document the Quality Assurance (QA) classification of the Monitored Geologic Repository (MGR) canistered spent nuclear fuel disposal container system structures, systems and components (SSCs) performed by the MGR Safety Assurance Department. This analysis also provides the basis for revision of YMP/90-55Q, Q-List (YMP 1998). The Q-List identifies those MGR SSCs subject to the requirements of DOE/RW-0333PY ''Quality Assurance Requirements and Description'' (QARD) (DOE 1998)

  6. CLASSIFICATION OF THE MGR SITE COMPRESSED AIR SYSTEM

    International Nuclear Information System (INIS)

    The purpose of this analysis is to document the Quality Assurance (QA) classification of the Monitored Geologic Repository (MGR) site compressed air system structures, systems and components (SSCs) performed by the MGR Safety Assurance Department. This analysis also provides the basis for revision of YMP/90-55Q, Q-List (YMP 1998). The Q-List identifies those MGR SSCs subject to the requirements of DOE/RW-0333P, ''Quality Assurance Requirements and Description'' (QARD) (DOE 1998)

  7. CLASSIFICATION OF THE MGR CARRIER PREPARATION BUILDING SYSTEM

    International Nuclear Information System (INIS)

    The purpose of this analysis is to document the Quality Assurance (QA) classification of the Monitored Geologic Repository (MGR) carrier preparation building system structures, systems and components (SSCs) performed by the MGR Safety Assurance Department. This analysis also provides the basis for revision of YMP/90-55Q, Q-List (YMP 1998). The Q-List identifies those MGR SSCs subject to the requirements of DOE/RW-0333P, ''Quality Assurance Requirements and Description'' (QARD) (DOE 1998)

  8. CLASSIFICATION OF THE MGR SITE RADIOLOGICAL MONITORING SYSTEM

    International Nuclear Information System (INIS)

    The purpose of this analysis is to document the Quality Assurance (QA) classification of the Monitored Geologic Repository (MGR) site radiological monitoring system structures, systems and components (SSCs) performed by the MGR Safety Assurance Department. This analysis also provides the basis for revision of YMP/90-55Q, Q-List (YMP 1998). The Q-List identifies those MGR SSCs subject to the requirements of DOE/RW-0333P, ''Quality Assurance Requirements and Description'' (QARD) (DOE 1998)

  9. Evolving Fuzzy Classification Systems from Numerical Data

    OpenAIRE

    Pardeep Sandhu; Shakti Kumar; Himanshu Sharma; Parvinder Bhalla

    2011-01-01

    Fuzzy Classifiers are an important class of fuzzy systems. Evolving fuzzy classifiers from numerical data has assumed lot of significance in the recent past. This paper proposes a method of evolving fuzzy classifiers using a three step approach. In the first step, we applied a modified Fuzzy C–Means Clustering technique to generate membership functions. In the second step, we generated rule base using Wang and Mendel algorithm. The third step was used to reduce the size of the generated rule ...

  10. Waste classification system for low-level radioactive wastes

    International Nuclear Information System (INIS)

    In this paper a new method for classifying low-level waste is introduced. The method is based on the geological hazard index introduced by Smith et al. (Smith, C.F.; Cohen, J.J.; McKone, T.E., 1980. A Hazard Index for Underground Toxic Material, UCRL-52889), and provides a measure of the total innate hazard of the waste after disposal. The classification system is designed to be a simple, cost effective and efficient waste screening tool that is conservative and applicable for the great majority of waste streams. The majority of the classification systems methodology has been developed and presented here. Three major tasks still remain to be done. First, values for the persistence of chemicals need to be developed. Second, availability factors must be derived for the ingestion of organic compounds and inhalation of volatile compounds. Third, a thorough review and evaluation of the toxic dose level methodology must be done. The waste classification index has been developed to allow some quantification of total waste hazard. The methodology has been designed to be as general as possible, so that the index would be applicable over a broad range of waste streams. The approach is intuitively simple and conservative. The waste classification index can be very useful as a measurement tool to aid in waste management decisions

  11. The measurement of instrumental ADL: content validity and construct validity

    DEFF Research Database (Denmark)

    Avlund, K; Schultz-Larsen, K; Kreiner, S

    1993-01-01

    A new measure of Instrumental Activities of Daily Living (IADL), which is able to discriminate among the large group of elderly who do not depend on help, was tested for content validity and construct validity. Most assessments of functional ability include Physical ADL (PADL) and Instrumental ADL....... The measure of Instrumental ADL included 30 activities in relation to tiredness and reduced speed. Construct validity was tested by the Rasch model for item analysis; internal validity was specifically addressed by assessing the homogeneity of items under different conditions. The Rasch item analysis...... of IADL showed that 14 items could be combined into two qualitatively different additive scales. The IADL-measure complies with demands for content validity, distinguishes between what the elderly actually do, and what they are capable of doing, and is a good discriminator among the group of elderly...

  12. BASIC PRINCIPLES FOR THE MODERN CLASSIFICATION OF UNMANNED AVIATION SYSTEMS

    Directory of Open Access Journals (Sweden)

    В.П. Харченко

    2012-12-01

    Full Text Available  In view of the basic contemporary classification criteria attempted the classification of unmanned aircraft systems have been attempted  on the basis of available scientific and technical potential, of their applications features,  and prospects for development of information and the aircraft manufacturing technologies. Based on the global trends analysis of unmanned aircraft systems development in determining the prospects for development of unmanned aircraft systems as a class has been discussed the need to use a single general classification system features that reflects the level of functional independence of the aircraft belonging to the UAS and takes into account not only the level of technical excellence, but also the level of development information and logistics systems. The formation principles of unmanned aircraft systems and complexes have been considered due to the UAC development problems, including the issues of the complex architectonics, its full composition, unmanned aircraft controlling methods, and the procedures for the unmanned aviation complex use as a whole taking into account the peculiarities the different UAVs categories application.

  13. File list: His.Adl.20.AllAg.Temperature_sensitive_cells [Chip-atlas[Archive

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  5. File list: DNS.Adl.20.AllAg.Octopaminergic_neurons [Chip-atlas[Archive

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  6. Quantitative Assessment of ADL: A Pilot Study of Upper Extremity Reaching Tasks

    Directory of Open Access Journals (Sweden)

    Saiyi Li

    2015-01-01

    Full Text Available Effective telerehabilitation technologies enable patients with certain physiological disabilities to engage in rehabilitative exercises for performing Activities of Daily Living (ADLs. Therefore, training and assessment scenarios for the performance of ADLs are vital for the promotion for telerehabilitation. In this paper we investigate quantitatively and automatically assessing patient’s kinematic ability to perform functional upper extremity reaching tasks. The shape of the movement trajectory and the instantaneous acceleration of kinematically crucial body parts, such as wrists, are used to compute the approximate entropy of the motions to represent stability (smoothness in addition to the duration of the activity. Computer simulations were conducted to illustrate the consistency, sensitivity and robustness of the proposed method. A preliminary experiment with kinematic data captured from healthy subjects mimicking a reaching task with dyskinesia showed a high degree of correlation (Cohen’s kappa 0.85 with p<0.05 between a human observer and the proposed automatic classification tool in terms of assigning the datasets to various levels to represent the subjects’ kinematic abilities to perform reaching tasks. This study supported the use of Microsoft Kinect to quantitatively evaluate the ability of individuals with involuntary movements to perform an upper extremity reaching task.

  7. Selecting Quasar Candidates by a SVM Classification System

    CERN Document Server

    Peng, Nanbo; Zhao, Yongheng; Wu, Xuebing

    2012-01-01

    We develop and demonstrate a classification system constituted by several Support Vector Machines (SVM) classifiers, which can be applied to select quasar candidates from large sky survey projects, such as SDSS, UKIDSS, GALEX. How to construct this SVM classification system is presented in detail. When the SVM classification system works on the test set to predict quasar candidates, it acquires the efficiency of 93.21% and the completeness of 97.49%. In order to further prove the reliability and feasibility of this system, two chunks are randomly chosen to compare its performance with that of the XDQSO method used for SDSS-III's BOSS. The experimental results show that the high faction of overlap exists between the quasar candidates selected by this system and those extracted by the XDQSO technique in the dereddened i-band magnitude range between 17.75 and 22.45, especially in the interval of dereddened i-band magnitude < 20.0. In the two test areas, 57.38% and 87.15% of the quasar candidates predicted by ...

  8. General classification handbook for floodplain vegetation in large river systems

    Science.gov (United States)

    Dieck, Jennifer J.; Ruhser, Janis; Hoy, Erin E.; Robinson, Larry R.

    2015-01-01

    This handbook describes the General Wetland Vegetation Classification System developed as part of the U.S. Army Corps of Engineers’ Upper Mississippi River Restoration (UMRR) Program, Long Term Resource Monitoring (LTRM) element. The UMRR is a cooperative effort between the U.S. Army Corps of Engineers, U.S. Geological Survey, U.S. Fish and Wildlife Service, and the states of Illinois, Iowa, Minnesota, Missouri, and Wisconsin. The classification system consists of 31 general map classes and has been used to create systemic vegetation data layers throughout the diverse Upper Mississippi River System (UMRS), which includes the commercially navigable reaches of the Mississippi River from Minneapolis, Minnesota, in the north to Cairo, Illinois, in the south, the Illinois River, and navigable portions of the Kaskaskia, Black, St. Croix, and Minnesota Rivers. In addition, this handbook describes the evolution of the General Wetland Vegetation Classification System, discusses the process of creating a vegetation data layer, and describes each of the 31 map classes in detail. The handbook also acts as a pictorial guide to each of the map classes as they may appear in the field, as well as on color-infrared imagery. This version is an update to the original handbook published in 2004.

  9. Automatic counterfeit protection system code classification

    Science.gov (United States)

    Van Beusekom, Joost; Schreyer, Marco; Breuel, Thomas M.

    2010-01-01

    Wide availability of cheap high-quality printing techniques make document forgery an easy task that can easily be done by most people using standard computer and printing hardware. To prevent the use of color laser printers or color copiers for counterfeiting e.g. money or other valuable documents, many of these machines print Counterfeit Protection System (CPS) codes on the page. These small yellow dots encode information about the specific printer and allow the questioned document examiner in cooperation with the manufacturers to track down the printer that was used to generate the document. However, the access to the methods to decode the tracking dots pattern is restricted. The exact decoding of a tracking pattern is often not necessary, as tracking the pattern down to the printer class may be enough. In this paper we present a method that detects what CPS pattern class was used in a given document. This can be used to specify the printer class that the document was printed on. Evaluation proved an accuracy of up to 91%.

  10. LANGUAGE SYSTEM AS NATURAL MULTILEVEL HIGH-RELIABILITY CLASSIFICATION

    Directory of Open Access Journals (Sweden)

    Ирина Михайловна Некипелова

    2013-09-01

    Full Text Available Classification of language presupposes its standardization. The conception of artificial standardization should be distinguished from natural standardization. The artificial standardization makes by society, pressing on language and making it more universal, but slowing down its development. The natural classification is inner aspiration of language system to be a universal mean for communication. This processes correlate to each other, but they are realized by different mechanisms. The natural standardization realizes needs of all society, and the artificial – needs of science community and state. In that case, when artificial standardization of language becomes to curb and restrain natural development of language system. Opposition between artificial and natural processes of standardization is come. As of a result of it scientists register weak language culture of population. But it is just the result of divergence of standards: natural, reflecting back needs of society, and artificial, reflecting back requirements to proficiency in a language. In whole, classification is one of the basic, fundamental method of cognition. Individual begins mastering of language from infancy and it is been conditional on predominance of classifying way of comprehension of phenomena of the world in the first years of life. In the process of language mastering, offering  by society, an individual strives for, on the one hand, to correspond to standard language characteristics, on the other hand, to express his identity. In this respect language is not only classification, but classifier, because it detects further direction of human thinking in the field of building of classification of language. The research showed that logic operations of synthesis and analysis – being the fundamental of classification method - make it possible to comprehend language as system, which units interact to each other permanently. Openness and simplicity of the method enable

  11. Improvement of the Radiological system of emergency classification in Cuba

    International Nuclear Information System (INIS)

    In 1998 the National Center of Nuclear Security (CNSN), on the base of the experience in the one handling of emergencies and the preparation aspects, planning and answer, it perfects and it modernizes, with the approval of the national bigger State of the Civil Defense, the approaches of the Scale of Radiological Events approved from 1992. Given the operational experience of the System of Answer to Emergency of the Ministry Of Science Technology And Environment in the year 2001 the CNSN develops, it perfects and it puts in vigor a more complete System of Classification of Emergency of unique use for all the entities that use sources of radiations ionizations and that it also includes those answer forces that are imbricate in the Plan of Measures Against Catastrophe for cases of Radiological Accidents. The setting in vigor of this Unique System of Classification of Emergencies at national level has allowed to secure the coordination, planning and answer in an effective, quick and effective way. Presently work is exposed the philosophy on which this System of Classification was elaborated, the approaches used to classify the events as much in radioactive facilities as in the practice of the transport of radioactive materials and the activation of the forces of answers in cases of radiological emergencies

  12. Side effects of cancer therapies. International classification and documentation systems

    International Nuclear Information System (INIS)

    The publication presents and explains verified, international classification and documentation systems for side effects induced by cancer treatments, applicable in general and clinical practice and clinical research, and covers in a clearly arranged manner the whole range of treatments, including acute and chronic side effects of chemotherapy and radiotherapy, surgery, or combined therapies. The book fills a long-felt need in tumor documentation and is a major contribution to quality assurance in clinical oncology in German-speaking countries. As most parts of the book are bilingual, presenting German and English texts and terminology, it satisfies the principles of interdisciplinarity and internationality. The tabulated form chosen for presentation of classification systems and criteria facilitate the user's approach as well as application in daily work. (orig./CB)

  13. Classification of Transient Phenomena in Distribution System using wavelet Transform

    Science.gov (United States)

    Sedighi, Alireza

    2014-05-01

    An efficient procedure for classification of transient phenomena in distribution systems is proposed in this paper. The proposed method has been applied to classify some transient phenomena such as inrush current, load switching, capacitor switching and single phase to ground fault. The new scheme is based on wavelet transform algorithm. All of the events for feature extraction and test are simulated using Electro Magnetic Transient Program (EMTP). Results show high accuracy of proposed method.

  14. A classification system for tableting behaviors of binary powder mixtures

    OpenAIRE

    Changquan Calvin Sun

    2016-01-01

    The ability to predict tableting properties of a powder mixture from individual components is of both fundamental and practical importance to the efficient formulation development of tablet products. A common tableting classification system (TCS) of binary powder mixtures facilitates the systematic development of new knowledge in this direction. Based on the dependence of tablet tensile strength on weight fraction in a binary mixture, three main types of tableting behavior are identified. Eac...

  15. Derivation and validation of the Systemic Lupus International Collaborating Clinics classification criteria for systemic lupus erythematosus

    DEFF Research Database (Denmark)

    Petri, Michelle; Orbai, Ana-Maria; Alarcón, Graciela S;

    2012-01-01

    The Systemic Lupus International Collaborating Clinics (SLICC) group revised and validated the American College of Rheumatology (ACR) systemic lupus erythematosus (SLE) classification criteria in order to improve clinical relevance, meet stringent methodology requirements, and incorporate new kno...

  16. Derivation and validation of the Systemic Lupus International Collaborating Clinics classification criteria for systemic lupus erythematosus

    DEFF Research Database (Denmark)

    Petri, Michelle; Orbai, Ana-Maria; Alarcón, Graciela S;

    2012-01-01

    The Systemic Lupus International Collaborating Clinics (SLICC) group revised and validated the American College of Rheumatology (ACR) systemic lupus erythematosus (SLE) classification criteria in order to improve clinical relevance, meet stringent methodology requirements, and incorporate new...

  17. 5 CFR 9901.231 - Conversion of positions and employees to NSPS classification system.

    Science.gov (United States)

    2010-01-01

    ... NSPS classification system. 9901.231 Section 9901.231 Administrative Personnel DEPARTMENT OF DEFENSE... MANAGEMENT) DEPARTMENT OF DEFENSE NATIONAL SECURITY PERSONNEL SYSTEM (NSPS) Classification Transitional Provisions § 9901.231 Conversion of positions and employees to NSPS classification system. (a)...

  18. 42 CFR 412.10 - Changes in the DRG classification system.

    Science.gov (United States)

    2010-10-01

    ... 42 Public Health 2 2010-10-01 2010-10-01 false Changes in the DRG classification system. 412.10... § 412.10 Changes in the DRG classification system. (a) General rule. CMS issues changes in the DRG classification system in a Federal Register notice at least annually. Except as specified in paragraphs (c)...

  19. 5 CFR 9701.231 - Conversion of positions and employees to the DHS classification system.

    Science.gov (United States)

    2010-01-01

    ... the DHS classification system. 9701.231 Section 9701.231 Administrative Personnel DEPARTMENT OF... MANAGEMENT) DEPARTMENT OF HOMELAND SECURITY HUMAN RESOURCES MANAGEMENT SYSTEM Classification Transitional Provisions § 9701.231 Conversion of positions and employees to the DHS classification system. (a)...

  20. 75 FR 69472 - Preparations for December UN Meetings on the Globally Harmonized System of Classification and...

    Science.gov (United States)

    2010-11-12

    ... System of Classification and Labelling of Chemicals (GHS) AGENCY: Occupational Safety and Health... the United Nations Subcommittee of Experts on the Globally Harmonized System of Classification and... Classification and Labelling of ] Chemicals in December 2002. The GHS is a single, harmonized system...

  1. THE BIOPHARMACEUTICAL CLASSIFICATION SYSTEM (BCS: PRESENT STATUS AND FUTURE PROSPECTIVES

    Directory of Open Access Journals (Sweden)

    Budhwaar Vikaas

    2012-09-01

    Full Text Available The Biopharmaceutical classification system (BCS was introduced By Amidon et al., (1995 as a method for classifying drug substances based on their dose/solubility ratio and intestinal permeability. It allows predicting the in vivo pharmacokinetic performance of drug products. The drug can be categorized into four classes of BCS, namely, High solubility high permeability, low solubility high permeability, High solubility low permeability and low solubility low permeability. An objective of BCS approach is to determine the equilibrium solubility of drug substances under physiological environment. The BCS helps in mathematically analyzing the kinetics and dynamics of drug in gastrointestinal tract (GIT for New Drug Applications (NDA and Abbreviated New Drug Applications (ANDA filings and biowaivers. This step reduces time in the new drug development process. Further it helps to decide when the dissolution rate is likely to be the rate determining step. It also helps in the prediction of potential of inactive ingredients in the dosage form to alter the dissolution / absorption of the drug. The present review, apart from giving a brief overview of BCS classification system, highlights these and some of the more recent applications of BCS classification system.

  2. Automated recognition system for ELM classification in JET

    International Nuclear Information System (INIS)

    Edge localized modes (ELMs) are instabilities occurring in the edge of H-mode plasmas. Considerable efforts are being devoted to understanding the physics behind this non-linear phenomenon. A first characterization of ELMs is usually their identification as type I or type III. An automated pattern recognition system has been developed in JET for off-line ELM recognition and classification. The empirical method presented in this paper analyzes each individual ELM instead of starting from a temporal segment containing many ELM bursts. The ELM recognition and isolation is carried out using three signals: Dα, line integrated electron density and stored diamagnetic energy. A reduced set of characteristics (such as diamagnetic energy drop, ELM period or Dα shape) has been extracted to build supervised and unsupervised learning systems for classification purposes. The former are based on support vector machines (SVM). The latter have been developed with hierarchical and K-means clustering methods. The success rate of the classification systems is about 98% for a database of almost 300 ELMs.

  3. Classification of Unmanned Aircraft Systems. UAS Classification/Categorization for Certification

    Science.gov (United States)

    2004-01-01

    Category, class, and type designations are primary means to identify appropriate aircraft certification basis, operating rules/limitations, and pilot qualifications to operate in the National Airspace System (NAS). The question is whether UAS fit into existing aircraft categories or classes, or are unique enough to justify the creation of a new category/class. In addition, the characteristics or capabilities, which define when an UAS becomes a regulated aircraft, must also be decided. This issue focuses on UAS classification for certification purposes. Several approaches have been considered for classifying UAS. They basically group into either using a weight/mass basis, or a safety risk basis, factoring in the performance of the UAS, including where the UAS would operate. Under existing standards, aircraft must have a Type Certificate and Certificate of Airworthiness, in order to be used for "compensation or hire", a major difference from model aircraft. Newer technologies may make it possible for very small UAS to conduct commercial services, but that is left for a future discussion to extend the regulated aircraft to a lower level. The Access 5 position is that UAS are aircraft and should be regulated above the weight threshold differentiating them from model airplanes. The recommended classification grouping is summarized in a chart.

  4. An Evaluation of ADLs on Modeling Patterns for Software Architecture

    NARCIS (Netherlands)

    Waqas Kamal, Ahmad; Avgeriou, Paris

    2007-01-01

    Architecture patterns provide solutions to recurring design problems at the architecture level. In order to model patterns during software architecture design, one may use a number of existing Architecture Description Languages (ADLs), including the UML, a generic language but also a de facto indust

  5. An alternative respiratory sounds classification system utilizing artificial neural networks

    Directory of Open Access Journals (Sweden)

    Rami J Oweis

    2015-04-01

    Full Text Available Background: Computerized lung sound analysis involves recording lung sound via an electronic device, followed by computer analysis and classification based on specific signal characteristics as non-linearity and nonstationarity caused by air turbulence. An automatic analysis is necessary to avoid dependence on expert skills. Methods: This work revolves around exploiting autocorrelation in the feature extraction stage. All process stages were implemented in MATLAB. The classification process was performed comparatively using both artificial neural networks (ANNs and adaptive neuro-fuzzy inference systems (ANFIS toolboxes. The methods have been applied to 10 different respiratory sounds for classification. Results: The ANN was superior to the ANFIS system and returned superior performance parameters. Its accuracy, specificity, and sensitivity were 98.6%, 100%, and 97.8%, respectively. The obtained parameters showed superiority to many recent approaches. Conclusions: The promising proposed method is an efficient fast tool for the intended purpose as manifested in the performance parameters, specifically, accuracy, specificity, and sensitivity. Furthermore, it may be added that utilizing the autocorrelation function in the feature extraction in such applications results in enhanced performance and avoids undesired computation complexities compared to other techniques.

  6. Nominal classification

    OpenAIRE

    Senft, G.

    2007-01-01

    This handbook chapter summarizes some of the problems of nominal classification in language, presents and illustrates the various systems or techniques of nominal classification, and points out why nominal classification is one of the most interesting topics in Cognitive Linguistics.

  7. Improved Classification Methods for Brain Computer Interface System

    Directory of Open Access Journals (Sweden)

    YI Fang

    2012-03-01

    Full Text Available Brain computer interface (BCI aims at providing a new communication way without brain’s normal output through nerve and muscle. The electroencephalography (EEG has been widely used for BCI system because it is a non-invasive approach. For the EEG signals of left and right hand motor imagery, the event-related desynchronization (ERD and event-related synchronization(ERS are used as classification features in this paper. The raw data are transformed by nonlinear methods and classified by Fisher classifier. Compared with the linear methods, the classification accuracy can get an obvious increase to 86.25%. Two different nonlinear transform were arised and one of them is under the consideration of the relativity of two channels of EEG signals. With these nonlinear transform, the performance are also stable with the balance of two misclassifications.

  8. A model for anomaly classification in intrusion detection systems

    Science.gov (United States)

    Ferreira, V. O.; Galhardi, V. V.; Gonçalves, L. B. L.; Silva, R. C.; Cansian, A. M.

    2015-09-01

    Intrusion Detection Systems (IDS) are traditionally divided into two types according to the detection methods they employ, namely (i) misuse detection and (ii) anomaly detection. Anomaly detection has been widely used and its main advantage is the ability to detect new attacks. However, the analysis of anomalies generated can become expensive, since they often have no clear information about the malicious events they represent. In this context, this paper presents a model for automated classification of alerts generated by an anomaly based IDS. The main goal is either the classification of the detected anomalies in well-defined taxonomies of attacks or to identify whether it is a false positive misclassified by the IDS. Some common attacks to computer networks were considered and we achieved important results that can equip security analysts with best resources for their analyses.

  9. CLASSIFICATION OF THE MGR DOE SPENT NUCLEAR DISPOSAL CONTAINER SYSTEM

    International Nuclear Information System (INIS)

    The purpose of this analysis is to document the Quality Assurance (QA) classification of the Monitored Geologic Repository (MGR) Department of Energy (DOE) spent nuclear fuel disposal container system structures, systems and components (SSCs) performed by the MGR Safety Assurance Department. This analysis also provides the basis for revision of YMP/90-55Q, Q-List (YMP 1998). The Q-List identifies those MGR SSCs subject to the requirements of DOE/RW-0333PY ''Quality Assurance Requirements and Description'' (QARD) (DOE 1998)

  10. Analytical models and system topologies for remote multispectral data acquisition and classification

    Science.gov (United States)

    Huck, F. O.; Park, S. K.; Burcher, E. E.; Kelly, W. L., IV

    1978-01-01

    Simple analytical models are presented of the radiometric and statistical processes that are involved in multispectral data acquisition and classification. Also presented are basic system topologies which combine remote sensing with data classification. These models and topologies offer a preliminary but systematic step towards the use of computer simulations to analyze remote multispectral data acquisition and classification systems.

  11. Colorectal Cancer Classification and Cell Heterogeneity: A Systems Oncology Approach

    Directory of Open Access Journals (Sweden)

    Moisés Blanco-Calvo

    2015-06-01

    Full Text Available Colorectal cancer is a heterogeneous disease that manifests through diverse clinical scenarios. During many years, our knowledge about the variability of colorectal tumors was limited to the histopathological analysis from which generic classifications associated with different clinical expectations are derived. However, currently we are beginning to understand that under the intense pathological and clinical variability of these tumors there underlies strong genetic and biological heterogeneity. Thus, with the increasing available information of inter-tumor and intra-tumor heterogeneity, the classical pathological approach is being displaced in favor of novel molecular classifications. In the present article, we summarize the most relevant proposals of molecular classifications obtained from the analysis of colorectal tumors using powerful high throughput techniques and devices. We also discuss the role that cancer systems biology may play in the integration and interpretation of the high amount of data generated and the challenges to be addressed in the future development of precision oncology. In addition, we review the current state of implementation of these novel tools in the pathological laboratory and in clinical practice.

  12. Physical performance as long-term predictor of onset of activities of daily living (ADL) disability

    DEFF Research Database (Denmark)

    Idland, Gro; Pettersen, Renate; Avlund, Kirsten;

    2013-01-01

    Disability in ADL of aging women is an important public health concern. It is thus of interest to identify modifiable factors underlying onset of ADL disability. We assessed whether three physical performance-based measurements could predict ADL disability 9 years later. The participants were 113...... non-disabled community-dwelling women with a mean age of 79.5 years at baseline. The baseline examinations of physical performance were: functional reach, climbing steps and comfortable walking speed. ADL disability was defined as need of personal assistance in at least one of five basic ADL items....... The participants were followed for 9 years. Logistic regression models were fitted for each of the physical performance measurements together with the covariates in relation to ADL disability. At follow-up 25.7% were disabled in ADL. All three performance measurements were significantly associated...

  13. The Bellevue Classification System: nursing's voice upon the library shelves*†

    OpenAIRE

    Mages, Keith C

    2011-01-01

    This article examines the inspiration, construction, and meaning of the Bellevue Classification System (BCS), created during the 1930s for use in the Bellevue School of Nursing Library. Nursing instructor Ann Doyle, with assistance from librarian Mary Casamajor, designed the BCS after consulting with library leaders and examining leading contemporary classification systems, including the Dewey Decimal Classification and Library of Congress, Ballard, and National Health Library classification ...

  14. Application and classification of fuzzy dynamic system and fuzzy linguistic controller with examples illustrated

    Science.gov (United States)

    Wang, Paul P.; Tyan, Ching-Yu

    1993-12-01

    This paper presents the classification of fuzzy dynamic systems and fuzzy linguistic controllers (FLC) into standard types (TYPE 1 through TYPE 7). The need, utility value, and the logic behind this classification are given. The proposed classification is the result of studying many known examples of FLC applications. The impact of this classification to new designs and to the improved performance of classical and modern control systems is an important consideration.

  15. Neighborhood Hypergraph Based Classification Algorithm for Incomplete Information System

    Directory of Open Access Journals (Sweden)

    Feng Hu

    2015-01-01

    Full Text Available The problem of classification in incomplete information system is a hot issue in intelligent information processing. Hypergraph is a new intelligent method for machine learning. However, it is hard to process the incomplete information system by the traditional hypergraph, which is due to two reasons: (1 the hyperedges are generated randomly in traditional hypergraph model; (2 the existing methods are unsuitable to deal with incomplete information system, for the sake of missing values in incomplete information system. In this paper, we propose a novel classification algorithm for incomplete information system based on hypergraph model and rough set theory. Firstly, we initialize the hypergraph. Second, we classify the training set by neighborhood hypergraph. Third, under the guidance of rough set, we replace the poor hyperedges. After that, we can obtain a good classifier. The proposed approach is tested on 15 data sets from UCI machine learning repository. Furthermore, it is compared with some existing methods, such as C4.5, SVM, NavieBayes, and KNN. The experimental results show that the proposed algorithm has better performance via Precision, Recall, AUC, and F-measure.

  16. Computer aided decision support system for cervical cancer classification

    Science.gov (United States)

    Rahmadwati, Rahmadwati; Naghdy, Golshah; Ros, Montserrat; Todd, Catherine

    2012-10-01

    Conventional analysis of a cervical histology image, such a pap smear or a biopsy sample, is performed by an expert pathologist manually. This involves inspecting the sample for cellular level abnormalities and determining the spread of the abnormalities. Cancer is graded based on the spread of the abnormal cells. This is a tedious, subjective and time-consuming process with considerable variations in diagnosis between the experts. This paper presents a computer aided decision support system (CADSS) tool to help the pathologists in their examination of the cervical cancer biopsies. The main aim of the proposed CADSS system is to identify abnormalities and quantify cancer grading in a systematic and repeatable manner. The paper proposes three different methods which presents and compares the results using 475 images of cervical biopsies which include normal, three stages of pre cancer, and malignant cases. This paper will explore various components of an effective CADSS; image acquisition, pre-processing, segmentation, feature extraction, classification, grading and disease identification. Cervical histological images are captured using a digital microscope. The images are captured in sufficient resolution to retain enough information for effective classification. Histology images of cervical biopsies consist of three major sections; background, stroma and squamous epithelium. Most diagnostic information are contained within the epithelium region. This paper will present two levels of segmentations; global (macro) and local (micro). At the global level the squamous epithelium is separated from the background and stroma. At the local or cellular level, the nuclei and cytoplasm are segmented for further analysis. Image features that influence the pathologists' decision during the analysis and classification of a cervical biopsy are the nuclei's shape and spread; the ratio of the areas of nuclei and cytoplasm as well as the texture and spread of the abnormalities

  17. A proposed classification system for liver metastasis from colorectal carcinoma.

    Science.gov (United States)

    Petrelli, N J; Bonnheim, D C; Herrera, L O; Mittelman, A

    1984-04-01

    A proposed classification system for liver metastasis from colorectal carcinoma is presented. This proposed system utilizes the prognostic factors of the extent of hepatic involvement by metastasis at the time of laparotomy, performance status, preoperative serum alkaline phosphatase level, and the presence or absence of extrahepatic intraabdominal disease at the time of laparotomy. Because of the several different modes of treatment for liver metastasis from colorectal carcinoma, it is necessary that a liver classification system be adopted so that different treatment groups will be comparable. The proposed system utilizes the extent of hepatic involvement by metastasis at laparotomy with a division into three subsets of patients described by a Roman numeral. Roman numeral I represents less than or equal to 25 per cent involvement of the liver by metastasis; Roman numeral II represents greater than 25 per cent but less than or equal to 50 per cent involvement by liver metastasis, and Roman numeral III represents greater than 50 per cent involvement by liver metastasis. An Arabic subscript number is used to describe the patients' performance status. Alkaline phosphatase levels are described by a subscript letter with a representing less than two times normal alkaline phosphatase, b representing greater than two times, but less than four times normal levels, and c representing greater than four times normal levels. At the time of laparotomy extrahepatic intra-abdominal disease is represented by the superscript letter E. PMID:6714032

  18. A Meter Classification System for Spoken Persian Poetries

    Directory of Open Access Journals (Sweden)

    Saeid Hamidi & Farbod Razzazi

    2011-11-01

    Full Text Available In this article, a meter classification system has been proposed for Persian poems based onfeatures that are extracted from uttered poem. In the first stage, the utterance has beensegmented into syllables using three features, pitch frequency and modified energy of each frameof the utterance and its temporal variations. In the second stage, each syllable is classified intolong syllable and short syllable classes which is a historically convenient categorization in Persianliterature. In this stage, the classifier is an SVM classifier with radial basis function kernel. Theemployed features are the syllable temporal duration, zero crossing rate and PARCORcoefficients of each syllable. The sequence of extracted syllables classes is then softly comparedwith classic Persian meter styles using dynamic time warping, to make the system robust againstsyllables insertion, deletion or classification and poems authorities. The system has beenevaluated on 136 poetries utterances from 12 Persian meter styles gathered from 8 speakers,using k-fold evaluation strategy. The results show 91% accuracy in three top meter style choicesof the system.

  19. Classification of novel events for structural health monitoring systems

    Science.gov (United States)

    Dhruve, Nishant J.; McNeill, Dean K.

    2007-04-01

    This article reports on results obtained when applying neural networks to the problem of vehicle classification from SHM measurement data. It builds upon previous work which addressed the issue of reducing vast amounts of data collected during an SHM process by storing only those events regarded as being "interesting," thus decreasing the stored data to a manageable size. This capability is extended here by providing a means to group and classify these novel events using artificial neural network (ANN) techniques. Two types of neural systems are investigated, the first one consists of two neural layers employing both supervised and unsupervised learning. The second, which is an extension of the first, has a data pre-processing stage. In this later system, input data presented to the system is first pre-scaled before being presented to the first network layer. The scaling value is retained and later passed to the second layer as an extra input. The results obtained for vehicle classification using these two methods showed a success rate of 60% and 90% for the first and second ANN systems respectively.

  20. Classification of time series patterns from complex dynamic systems

    Energy Technology Data Exchange (ETDEWEB)

    Schryver, J.C.; Rao, N.

    1998-07-01

    An increasing availability of high-performance computing and data storage media at decreasing cost is making possible the proliferation of large-scale numerical databases and data warehouses. Numeric warehousing enterprises on the order of hundreds of gigabytes to terabytes are a reality in many fields such as finance, retail sales, process systems monitoring, biomedical monitoring, surveillance and transportation. Large-scale databases are becoming more accessible to larger user communities through the internet, web-based applications and database connectivity. Consequently, most researchers now have access to a variety of massive datasets. This trend will probably only continue to grow over the next several years. Unfortunately, the availability of integrated tools to explore, analyze and understand the data warehoused in these archives is lagging far behind the ability to gain access to the same data. In particular, locating and identifying patterns of interest in numerical time series data is an increasingly important problem for which there are few available techniques. Temporal pattern recognition poses many interesting problems in classification, segmentation, prediction, diagnosis and anomaly detection. This research focuses on the problem of classification or characterization of numerical time series data. Highway vehicles and their drivers are examples of complex dynamic systems (CDS) which are being used by transportation agencies for field testing to generate large-scale time series datasets. Tools for effective analysis of numerical time series in databases generated by highway vehicle systems are not yet available, or have not been adapted to the target problem domain. However, analysis tools from similar domains may be adapted to the problem of classification of numerical time series data.

  1. Classification analysis of organization factors related to system safety

    International Nuclear Information System (INIS)

    This paper analyzes the different types of organization factors which influence the system safety. The organization factor can be divided into the interior organization factor and exterior organization factor. The latter includes the factors of political, economical, technical, law, social culture and geographical, and the relationships among different interest groups. The former includes organization culture, communication, decision, training, process, supervision and management and organization structure. This paper focuses on the description of the organization factors. The classification analysis of the organization factors is the early work of quantitative analysis. (authors)

  2. Fault Tolerant Neural Network for ECG Signal Classification Systems

    Directory of Open Access Journals (Sweden)

    MERAH, M.

    2011-08-01

    Full Text Available The aim of this paper is to apply a new robust hardware Artificial Neural Network (ANN for ECG classification systems. This ANN includes a penalization criterion which makes the performances in terms of robustness. Specifically, in this method, the ANN weights are normalized using the auto-prune method. Simulations performed on the MIT ? BIH ECG signals, have shown that significant robustness improvements are obtained regarding potential hardware artificial neuron failures. Moreover, we show that the proposed design achieves better generalization performances, compared to the standard back-propagation algorithm.

  3. A complete electrical hazard classification system and its application

    Energy Technology Data Exchange (ETDEWEB)

    Gordon, Lloyd B [Los Alamos National Laboratory; Cartelli, Laura [Los Alamos National Laboratory

    2009-01-01

    The Standard for Electrical Safety in the Workplace, NFPA 70E, and relevant OSHA electrical safety standards evolved to address the hazards of 60-Hz power that are faced primarily by electricians, linemen, and others performing facility and utility work. This leaves a substantial gap in the management of electrical hazards in Research and Development (R&D) and specialized high voltage and high power equipment. Examples include lasers, accelerators, capacitor banks, electroplating systems, induction and dielectric heating systems, etc. Although all such systems are fed by 50/60 Hz alternating current (ac) power, we find substantial use of direct current (dc) electrical energy, and the use of capacitors, inductors, batteries, and radiofrequency (RF) power. The electrical hazards of these forms of electricity and their systems are different than for 50160 Hz power. Over the past 10 years there has been an effort to develop a method of classifying all of the electrical hazards found in all types of R&D and utilization equipment. Examples of the variation of these hazards from NFPA 70E include (a) high voltage can be harmless, if the available current is sufficiently low, (b) low voltage can be harmful if the available current/power is high, (c) high voltage capacitor hazards are unique and include severe reflex action, affects on the heart, and tissue damage, and (d) arc flash hazard analysis for dc and capacitor systems are not provided in existing standards. This work has led to a comprehensive electrical hazard classification system that is based on various research conducted over the past 100 years, on analysis of such systems in R&D, and on decades of experience. Initially, national electrical safety codes required the qualified worker only to know the source voltage to determine the shock hazard. Later, as arc flash hazards were understood, the fault current and clearing time were needed. These items are still insufficient to fully characterize all types of

  4. Light-water reactors reference system classification for the European reliability data system (ERDS)

    International Nuclear Information System (INIS)

    The reference system classification represents a basic stage in the organization of the European reliability data system (ERDS) for light-water reactors, a project actually in development at the Joint Research Centre, Ispra. This project is concerned with operational reliability data collection from the various ''national'' data banks, and centralization in a European reliability data system, so improving the significance of the resulting reliability evaluations. In the framework of the ERDS project, the reference system classification provides a LWR functional break-down and represents a plant-unique identification in the process of homogenization of event-data coming from the various ''national'' organizations. The report, after a brief description of the main objectives of the ERDS project, reviews the criteria followed in the elaboration of the reference system classification; then the detailed classification is presented. The nuclear power station is subdivided in about 180 systems. To each system a sheet is associated, containing: a comprehensive description of system-functions and boundaries; a descritpion of the plant operating mode, linked to the various system functions; a list of the main interface system; and finally, a list of the main components, including type and safety classification

  5. Classification of hospitals based on measured output: the VA system.

    Science.gov (United States)

    Thomas, J W; Berki, S E; Wyszewianski, L; Ashcraft, M L

    1983-07-01

    Evaluation of hospital performance and improvement of resource allocation in hospital systems require a method for classifying hospitals on the basis of their output. Previous approaches to hospital classification relied largely on input characteristics. The authors propose and apply a procedure for classifying hospitals into groups where within-group hospitals are similar with respect to output. Direct measures of case-mix-adjusted discharges and outpatient visits are the principal measures of patient care output; other measures capture training and research functions. The component measures were weighted, and a composite output measure was calculated for each of the 162 hospitals in the Veterans Administration health care system. The output score then was used as the dependent variable in an Automatic Interaction Detector analysis, which partitioned the 162 hospitals into 10 groups, accounting for 85 per cent of the variance in the dependent variable. An extension of the output classification method is presented for illustration of how the difference between hospitals' actual operating costs and costs predicted on the basis of output can be used in defining isoefficiency groups. PMID:6350744

  6. ATTACHMENTS IN PROSTHODONTICS: DIFFERENT SYSTEMS OF CLASSIFICATION: A REVIEW

    Directory of Open Access Journals (Sweden)

    Khuthija Khanam

    2014-07-01

    Full Text Available Attachments are mechanical devices for the fixation and stabilisation of a dental prosthesis and include frictional, internal, intracoronal, extracoronal, key-key way, parallel, precision and slotted types. (Boucher 1976. Attachments are used as alternative to clasps in removable partial denture therapy for both aesthetic and functional purpose. Their application is not only limited to removable partial dentures, but has a broader usage in fixed bridges, overdentures, implant supported dentures as well. Hundreds of attachments are available commercially and significant differences exist between them. In this article, different systems of classification of attachments have been reviewed. They are categorised as precision and semi-precision depending on the method of manufacture, intracoronal and extra coronal depending on their location relative to the abutment tooth, rigid and resilient determined by the amount of movement allowed between the component parts, also as stud and bar attachments depending on the design. A classification system to more accurately evaluate differences among resilient attachments has also been described here.

  7. Understanding Acupuncture Based on ZHENG Classification from System Perspective

    Directory of Open Access Journals (Sweden)

    Junwei Fang

    2013-01-01

    Full Text Available Acupuncture is an efficient therapy method originated in ancient China, the study of which based on ZHENG classification is a systematic research on understanding its complexity. The system perspective is contributed to understand the essence of phenomena, and, as the coming of the system biology era, broader technology platforms such as omics technologies were established for the objective study of traditional chinese medicine (TCM. Omics technologies could dynamically determine molecular components of various levels, which could achieve a systematic understanding of acupuncture by finding out the relationships of various response parts. After reviewing the literature of acupuncture studied by omics approaches, the following points were found. Firstly, with the help of omics approaches, acupuncture was found to be able to treat diseases by regulating the neuroendocrine immune (NEI network and the change of which could reflect the global effect of acupuncture. Secondly, the global effect of acupuncture could reflect ZHENG information at certain structure and function levels, which might reveal the mechanism of Meridian and Acupoint Specificity. Furthermore, based on comprehensive ZHENG classification, omics researches could help us understand the action characteristics of acupoints and the molecular mechanisms of their synergistic effect.

  8. Tangata whaiora/consumers perspectives on current psychiatric classification systems

    Directory of Open Access Journals (Sweden)

    Wells Debra

    2008-06-01

    Full Text Available Abstract Background A number of studies have been undertaken with the aim of considering the utility of mental health classification systems from the perspective of a variety of stakeholders. There is a lack of research on how useful consumers/tangata whaiora think these are in assisting them in their recovery. Methods Seventy service users were involved in seven focus groups in order to consider this question. Results and discussion While for clinicians diagnosing someone might be a discrete event and easily forgotten as a moment in a busy schedule, most people in this study remembered the occasion and aftermath very clearly. The overall consensus was that whether being 'diagnosed' was helpful or not, in large part, depended on how the process happened and what resulted from being 'labeled' in the person's life. Conclusion Overall, people thought that in terms of their recovery, the classification systems were tools and their utility depended on how they were used. They suggested that whatever tool was used it needed to help them make sense of their distress and provide them with a variety of supports, not just medication, to assist them to live lives that were meaningful to them.

  9. Gender and cultural issues in psychiatric nosological classification systems.

    Science.gov (United States)

    van de Water, Tanya; Suliman, Sharain; Seedat, Soraya

    2016-08-01

    Much has changed since the two dominant mental health nosological systems, the International Classification of Diseases (ICD) and the Diagnostic and Statistical Manual of Mental Disorders (DSM), were first published in 1900 and 1952, respectively. Despite numerous modifications to stay up to date with scientific and cultural changes (eg, exclusion of homosexuality as a disorder) and to improve the cultural sensitivity of psychiatric diagnoses, the ICD and DSM have only recently renewed attempts at harmonization. Previous nosological iterations demonstrate the oscillation in the importance placed on the biological focus, highlighting the tension between a gender- and culture-free nosology (solely biological) and a contextually relevant understanding of mental illness. In light of the release of the DSM 5, future nosological systems, such as the ICD 11, scheduled for release in 2017, and the Research Development Criteria (RDoC), can learn from history and apply critiques. This article aims to critically consider gender and culture in previous editions of the ICD and DSM to inform forthcoming classifications. PMID:27133577

  10. Pathohistological classification systems in gastric cancer: Diagnostic relevance and prognostic value

    OpenAIRE

    Berlth, Felix; Bollschweiler, Elfriede; Drebber, Uta; Hoelscher, Arnulf H; Moenig, Stefan

    2014-01-01

    Several pathohistological classification systems exist for the diagnosis of gastric cancer. Many studies have investigated the correlation between the pathohistological characteristics in gastric cancer and patient characteristics, disease specific criteria and overall outcome. It is still controversial as to which classification system imparts the most reliable information, and therefore, the choice of system may vary in clinical routine. In addition to the most common classification systems...

  11. Optimal User-Centered Knowledge Organization and Classification Systems: Using Non-reflected Gray Codes

    OpenAIRE

    Losee, Robert M.

    2006-01-01

    Existing library classification systems, such as the Dewey Decimal Classification (DDC) system and the Library of Congress Classification system, are generally considered effective at bringing similar documents together. For example, the DDC system is widely used to classify books in libraries and increasingly is being used for online applications, such as browsing Online Public Access Catalogues (OPACs) and Cooperative Online Resource Catalogs (CORCs), and will probably see increasing use in...

  12. UV Index Modeling by Autoregressive Distributed Lag (ADL Model)

    OpenAIRE

    Alexandre Boleira Lopo; Maria Helena Constantino Spyrides; Paulo Sérgio Lucio; Javier Sigró

    2014-01-01

    The objective of this work is to model statistically the ultraviolet radiation index (UV Index) to make forecast (extrapolate) and analyze trends. The task is relevant, due to increased UV flux and high rate of cases non-melanoma skin cancer in northeast of Brazil. The methodology utilized an Autoregressive Distributed Lag model (ADL) or Dynamic Linear Regression model. The monthly data of UV index were measured in east coast of the Brazilian Northeast (City of Natal-Rio G...

  13. Operating Rule Classification System of Water Supply Reservoir Based on Learning Classifier System

    Institute of Scientific and Technical Information of China (English)

    ZHANG Xian-feng; WANG Xiao-lin; YIN Zheng-jie; LI Hui-qiang

    2008-01-01

    An operating rule classification system based on lesrning classifier system (LCS), which learns through credit assignment (bucket brigade algorithm, BBA) and rule discovery (genetic algorithm, GA), is established to extract water-supply reservoir operating rules. The proposed system acquires an online identification rate of 95% for training samples and an offline rate of 85% for testing samples in a case study. The performances of the rule classification system are discussed from the rationality of the obtained rules, the impact of training samples on rule extraction, and a comparison between the rule classification system and the artificial neural network (ANN). The results indicate that the LCS is feasible and effective for the system to obtain the reservoir supply operating rules.

  14. Aneurysms of the superficial venous system: classification and treatment

    Directory of Open Access Journals (Sweden)

    Ronald G. Bush

    2014-11-01

    Full Text Available Superficial venous aneurysms are rarely described and they may remain indolent or become the source for pulmonary emboli. A system of classification and treatment protocol according to size and location is proposed. Three hundred thirty patients were evaluated for symptomatic venous disease (C2-C6 over a 2-year period. A proposed designation for venous aneurysm is described. Patients fulfilling this criterion are described in reference to site of involvement, histologic findings, and method of treatment. Five percent of patients met the criteria for venous aneurysm. Nine aneurysms of the greater saphenous vein were identified. Three aneurysms were proximal to the subterminal valve and the rest were distal. Six aneurysms of the anterior accessory greater saphenous vein (AAGSV were identified. Three aneurysms of the AAGSV spontaneously thrombosed. Two patients presented with aneurysms of the small saphenous vein. Histology revealed thickened intima, smooth muscle and adventitia. Aneurysm designation relates to diameter of normal and contiguous vein. All superficial venous aneurysms in close proximity to the junction of the femoral or popliteal vein should be ligated. Classification of venous aneurysms should include the AAGSV, which may present with spontaneous thrombosis.

  15. A space-based classification system for RF transients

    Energy Technology Data Exchange (ETDEWEB)

    Moore, K.R.; Call, D.; Johnson, S.; Payne, T.; Ford, W.; Spencer, K.; Wilkerson, J.F. [Los Alamos National Lab., NM (United States); Baumgart, C. [EG and G, Inc., Los Alamos, NM (United States)

    1993-12-01

    The FORTE (Fast On-Orbit Recording of Transient Events) small satellite is scheduled for launch in mid 1995. The mission is to measure and classify VHF (30--300 MHz) electromagnetic pulses, primarily due to lightning, within a high noise environment dominated by continuous wave carriers such as TV and FM stations. The FORTE Event Classifier will use specialized hardware to implement signal processing and neural network algorithms that perform onboard classification of RF transients and carriers. Lightning events will also be characterized with optical data telemetered to the ground. A primary mission science goal is to develop a comprehensive understanding of the correlation between the optical flash and the VHF emissions from lightning. By combining FORTE measurements with ground measurements and/or active transmitters, other science issues can be addressed. Examples include the correlation of global precipitation rates with lightning flash rates and location, the effects of large scale structures within the ionosphere (such as traveling ionospheric disturbances and horizontal gradients in the total electron content) on the propagation of broad bandwidth RF signals, and various areas of lightning physics. Event classification is a key feature of the FORTE mission. Neural networks are promising candidates for this application. The authors describe the proposed FORTE Event Classifier flight system, which consists of a commercially available digital signal processing board and a custom board, and discuss work on signal processing and neural network algorithms.

  16. Development Of An Econometric Model Case Study: Romanian Classification System

    Directory of Open Access Journals (Sweden)

    Savescu Roxana

    2015-08-01

    Full Text Available The purpose of the paper is to illustrate an econometric model used to predict the lean meat content in pig carcasses, based on the muscle thickness and back fat thickness measured by the means of an optical probe (OptiGrade PRO.The analysis goes through all steps involved in the development of the model: statement of theory, specification of the mathematical model, sampling and collection of data, estimation of the parameters of the chosen econometric model, tests of the hypothesis derived from the model and prediction equations. The data have been in a controlled experiment conducted by the Romanian Carcass Classification Commission in 2007. The purpose of the experiment was to develop the prediction formulae to be used in the implementation of SEUROP classification system, imposed by European Union legislation. The research methodology used by the author in this study consisted in reviewing the existing literature and normative acts, analyzing the primary data provided by and organization conducting the experiment and interviewing the representatives of the working team that participated in the trial.

  17. A space-based classification system for RF transients

    International Nuclear Information System (INIS)

    The FORTE (Fast On-Orbit Recording of Transient Events) small satellite is scheduled for launch in mid 1995. The mission is to measure and classify VHF (30--300 MHz) electromagnetic pulses, primarily due to lightning, within a high noise environment dominated by continuous wave carriers such as TV and FM stations. The FORTE Event Classifier will use specialized hardware to implement signal processing and neural network algorithms that perform onboard classification of RF transients and carriers. Lightning events will also be characterized with optical data telemetered to the ground. A primary mission science goal is to develop a comprehensive understanding of the correlation between the optical flash and the VHF emissions from lightning. By combining FORTE measurements with ground measurements and/or active transmitters, other science issues can be addressed. Examples include the correlation of global precipitation rates with lightning flash rates and location, the effects of large scale structures within the ionosphere (such as traveling ionospheric disturbances and horizontal gradients in the total electron content) on the propagation of broad bandwidth RF signals, and various areas of lightning physics. Event classification is a key feature of the FORTE mission. Neural networks are promising candidates for this application. The authors describe the proposed FORTE Event Classifier flight system, which consists of a commercially available digital signal processing board and a custom board, and discuss work on signal processing and neural network algorithms

  18. Challenging of Facial Expressions Classification Systems: Survey, Critical Considerations and Direction of Future Work

    OpenAIRE

    Amir Jamshidnezhad; M.D. Jan Nordin

    2012-01-01

    The main purpose of this study is analysis of the parameters and the affects of those on the performance of the facial expressions classification systems. In recent years understanding of emotions is a basic requirement in the development of Human Computer Interaction (HCI) systems. Therefore, an HCI is highly depended on accurate understanding of facial expression. Classification module is the main part of facial expressions recognition system. Numerous classification techniques were propose...

  19. Gross Motor Function Classification System: impact and utility.

    Science.gov (United States)

    Morris, Christopher; Bartlett, Doreen

    2004-01-01

    In summary, the GMFCS has had, and continues to have, a major effect on the health care of children with CP. The number of citations of the GMFCS has been increasing every year, and the classification system has had good uptake internationally and across the spectrum of health professionals for use in research design and clinical practice by providing a system for clearly communicating about children's gross motor function. The utility of diagnostic labels such as diplegia has been questioned. However, although by definition CP is a disorder of posture and movement, the movement disability is often only one of the neurodevelopmental problems for many children with CP. When a complete description of a child's clinical presentation is required we recommend that the GMFCS be used together with the Surveillance of Cerebral Palsy in Europe classification indicating the type and topography of movement impairment. When appropriate the clinical profile will similarly be enhanced with details of other impairments and disabilities such as epilepsy or sensory, learning, feeding, or emotional disturbance. The observations in this annotation are constrained by the amount of information in the public domain. Although these sources adequately represent the effect of the GMFCS on research design, they are less likely to inform us of how the GMFCS is being used in administration, clinical practice, or education. It is not yet clear whether information is being used for these purposes or in assisting with case load management, as intended by the developers. By its localized nature, such information might remain difficult to gauge. We would therefore be interested to hear from others who are using the system for these or any other purposes. PMID:14974650

  20. A new methodology for constructing a publication-level classification system of science

    CERN Document Server

    Waltman, Ludo

    2012-01-01

    Classifying journals or publications into research areas is an essential element of many bibliometric analyses. Classification usually takes place at the level of journals, where the Web of Science subject categories are the most popular classification system. However, journal-level classification systems have two important limitations: They offer only a limited amount of detail, and they have difficulties with multidisciplinary journals. To avoid these limitations, we introduce a new methodology for constructing classification systems at the level of individual publications. In the proposed methodology, publications are clustered into research areas based on citation relations. The methodology is able to deal with very large numbers of publications. We present an application in which a classification system is produced that includes almost ten million publications. Based on an extensive analysis of this classification system, we discuss the strengths and the limitations of the proposed methodology. Important...

  1. From fault classification to fault tolerance for multi-agent systems

    CERN Document Server

    Potiron, Katia; Taillibert, Patrick

    2013-01-01

    Faults are a concern for Multi-Agent Systems (MAS) designers, especially if the MAS are built for industrial or military use because there must be some guarantee of dependability. Some fault classification exists for classical systems, and is used to define faults. When dependability is at stake, such fault classification may be used from the beginning of the system's conception to define fault classes and specify which types of faults are expected. Thus, one may want to use fault classification for MAS; however, From Fault Classification to Fault Tolerance for Multi-Agent Systems argues that

  2. The Self-Directed Violence Classification System and the Columbia Classification Algorithm for Suicide Assessment: A Crosswalk

    Science.gov (United States)

    Matarazzo, Bridget B.; Clemans, Tracy A.; Silverman, Morton M.; Brenner, Lisa A.

    2013-01-01

    The lack of a standardized nomenclature for suicide-related thoughts and behaviors prompted the Centers for Disease Control and Prevention, with the Veterans Integrated Service Network 19 Mental Illness Research Education and Clinical Center, to create the Self-Directed Violence Classification System (SDVCS). SDVCS has been adopted by the…

  3. [Application of ecological classification system in China's digital forestry].

    Science.gov (United States)

    Tang, Li-Na; Dai, Li-Min

    2008-02-01

    In China's conventional forest management system, there are two types of sub-compartment, i.e., the 2nd- and 3rd-level sub-compartments, which are concurrent but inconsistent in size and boundary locations. Even in the same type of sub-compartments, the inconsistency still existed at different time, which is unbeneficial to the long-term forest management planning by using digital technologies. With the mountainous region in eastern Liaoning Province as a case, this paper established an ecological classification system (ECS), which contained 5 ecological land types (ELTs) and 34 ecological land type phases (ELTPs). Based on the basic technical needs of China's digital forestry, the ELTPs could be used as a fixed sub-compartment system. A compatible forest inventory system was designed then. It was concluded that ecosystem management based on ECS and geospatial information technologies combined with computer models and decision-support systems would be the important component of digital forestry. PMID:18464630

  4. Human posture classification for intelligent visual surveillance systems

    Science.gov (United States)

    Rababaah, Haroun; Shirkhodaie, Amir

    2008-04-01

    Intelligent surveillance systems (ISS) have gained a significant attention in recent years due to the nationwide security concerns. Some of the important applications of ISS include: homeland security, border monitoring, battlefield intelligence, and sensitive facility monitoring. The essential requirements of an ISS include: (1) multi-modality multi-sensor data and information fusion, (2) communication networking, (3) distributed data/information processing,(4) Automatic target recognition and tracking, (5) Scenario profiling from discrete correlated/uncorrelated events, (6) Context-based situation reasoning, and (7) Collaborative resource sharing and decision support systems. In this paper we have addressed the problem of humanposture classification in crowded urban terrain environments. Certain range of human postures can be attributed to different suspicious acts of intruders in a constrained environment. By proper time analysis of human trespassers' postures in an environment, it would be possible to identify and differentiate malicious intention of the trespassers from other normal human behaviors. Specifically in this paper, we have proposed an image processing-based approach for characterization of five different human postures including: standing, bending, crawling, carrying a heavy object, and holding a long object. Two approaches were introduced to address the problem: template-matching and Hamming Adaptive Neural Network (HANN) classifiers. The former approach performs human posture characterization via binary-profile projection and applies a correlation-based method for classification of human postures. The latter approach is based a HANN technique. For training of the neural, the posture-patterns are initially compressed, thresholded, and serialized. The binary posture-pattern arrays were then used for training of the HANN. The comparative performance evaluation of both approaches the same set of training and testing examples were used to measure

  5. On group classification of normal systems of linear second-order ordinary differential equations

    Science.gov (United States)

    Meleshko, S. V.; Moyo, S.

    2015-05-01

    In this paper we study the general group classification of systems of linear second-order ordinary differential equations inspired from earlier works and recent results on the group classification of such systems. Some interesting results and subsequent theorem arising from this particular study are discussed here. This paper considers the study of irreducible systems of second-order ordinary differential equations.

  6. 76 FR 51876 - Medical Devices; Ophthalmic Devices; Classification of the Eyelid Thermal Pulsation System

    Science.gov (United States)

    2011-08-19

    ...; Classification of the Eyelid Thermal Pulsation System AGENCY: Food and Drug Administration, HHS. ACTION: Final...., submitted a petition requesting classification of the LipiFlow Thermal Pulsation System under section 513(f... system into class II (special controls). The Agency is classifying the device into class II...

  7. 42 CFR 419.31 - Ambulatory payment classification (APC) system and payment weights.

    Science.gov (United States)

    2010-10-01

    ... 42 Public Health 3 2010-10-01 2010-10-01 false Ambulatory payment classification (APC) system and... Outpatient Services § 419.31 Ambulatory payment classification (APC) system and payment weights. (a) APC... OF HEALTH AND HUMAN SERVICES (CONTINUED) MEDICARE PROGRAM PROSPECTIVE PAYMENT SYSTEM FOR...

  8. The psychometric properties of ADCS - activities of daily living inventory and comparison of different ADL scores

    OpenAIRE

    Rózsa, S.; Brandtmüller, A.; Nagy, B.; Brennan, A.(School of Physics, University of Melbourne, Victoria, Australia); Akehurst, R

    2009-01-01

    Several multi-item activities of daily living (ADL) scales have been developed for assessment of functional status of patients with Alzheimer’s Disease (AD) in the last few decades. A disadvantage of the large number of scales is that scores of different ADL scales cannot be compared directly with each other. ADL scales which are used by McNamee’s (Townsend's disability scale) and Hill’s (Medicare Beneficiary definitions and Katz index of ADL) provide suitable tools for modelling the cost-eff...

  9. Self-reported and Observed Quality of ADL Task Performance in Adults with Depression

    DEFF Research Database (Denmark)

    Nielsen, Kristina Tomra; Wæhrens, Eva

    2014-01-01

    Introduction Limited relationship between measures of self-reported and observed quality of ADL task performance has been revealed in a rheumatologic population, stressing the need to apply both self-report and observation in that population when evaluating ADL task performance. As occupational t...... quality of ADL task performance, it is recommended that occupational therapists perform evaluations of ADL task performance based on both interview and observation as prescribed in the Occupational Therapy Intervention Process Model (OTIPM)....... diagnosed with depression (range 19-79, median 45,5) Procedure In order to evaluate the participants’ self-reported and observed quality of ADL task performance the ADL-Interview (ADL-I) and the Assessment of Motor and Process Skills (AMPS) were chosen. Both instruments are developed to evaluate and measure...... performance. 35% had AMPS ADL process ability measures below cut off indicating decreased efficiency, safety risk and/or need of assistance. However, limited relationship was found between measures of self-reported and observed quality of ADL task performance (figure 3 and 4). Conclusion Evaluations based on...

  10. Classification systems in nursing : Formalizing nursing knowledge and implications for nursing information systems

    NARCIS (Netherlands)

    Goossen, WTF; Epping, PJMM; Abraham, IL

    1996-01-01

    The development of nursing information systems (NIS) is often hampered by the fact that nursing lacks a unified nursing terminology and classification system. Currently there exist various initiatives in this area. We address the question as to how current initiatives in the development of nursing t

  11. 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)...

  12. Second language writing classification system based on word-alignment distribution

    OpenAIRE

    Katsunori Kotani; Takehiko Yoshimi

    2010-01-01

    The present paper introduces an automatic classification system for assisting second language(L2) writing evaluation. This system, which classifies sentences written by L2 learners as eithernative speaker-like or learner-like sentences, is constructed by machine learning algorithmsusing word-alignment distributions as classification features for detecting word-bywordtranslated expressions. The experimental results demonstrated that our classificationsystem provided adequate classification res...

  13. A new methodology for constructing a publication-level classification system of science

    OpenAIRE

    Waltman, L.R.; Eck, van, Herman

    2012-01-01

    Classifying journals or publications into research areas is an essential element of many bibliometric analyses. Classification usually takes place at the level of journals, where the Web of Science subject categories are the most popular classification system. However, journal-level classification systems have two important limitations: They offer only a limited amount of detail, and they have difficulties with multidisciplinary journals. To avoid these limitations, we introduce a new methodo...

  14. Classification of multipartite systems featuring only $|W\\rangle$ and $|GHZ\\rangle$ genuine entangled states

    OpenAIRE

    Holweck, Frédéric; Lévay, Péter

    2015-01-01

    In this paper we present several multipartite quantum systems featuring the same type of genuine (tripartite) entanglement. Based on a geometric interpretation of the so-called $|W\\rangle$ and $|GHZ\\rangle$ states we show that the classification of all multipartite systems featuring those and only those two classes of genuine entanglement can be deduced from earlier work of algebraic geometers. This classification corresponds in fact to classification of fundamental subadjoint varieties and e...

  15. Risk classification and uncertainty propagation for virtual water distribution systems

    International Nuclear Information System (INIS)

    While the secrecy of real water distribution system data is crucial, it poses difficulty for research as results cannot be publicized. This data includes topological layouts of pipe networks, pump operation schedules, and water demands. Therefore, a library of virtual water distribution systems can be an important research tool for comparative development of analytical methods. A virtual city, 'Micropolis', has been developed, including a comprehensive water distribution system, as a first entry into such a library. This virtual city of 5000 residents is fully described in both geographic information systems (GIS) and EPANet hydraulic model frameworks. A risk classification scheme and Monte Carlo analysis are employed for an attempted water supply contamination attack. Model inputs to be considered include uncertainties in: daily water demand, seasonal demand, initial storage tank levels, the time of day a contamination event is initiated, duration of contamination event, and contaminant quantity. Findings show that reasonable uncertainties in model inputs produce high variability in exposure levels. It is also shown that exposure level distributions experience noticeable sensitivities to population clusters within the contaminant spread area. High uncertainties in exposure patterns lead to greater resources needed for more effective mitigation strategies.

  16. Multivariate classification of systemic vascular resistance using photoplethysmography

    International Nuclear Information System (INIS)

    Systemic vascular resistance (SVR) classification is useful for the diagnosis and prognosis of critical pathophysiological conditions, with the ability to identify patients with abnormally high or low SVR of immense clinical value. In this study, a supervised classifier, based on Bayes' rule, is employed to classify a heterogeneous group of intensive care unit patients (N = 48) as being below (SVR < 900 dyn s cm−5), within (900 ≤ SVR ≤ 1200 dyn s cm−5) or above (SVR > 1200 dyn s cm−5) the clinically accepted range for normal SVR. Features derived from the finger photoplethysmogram (PPG) waveform and other routine cardiovascular measurements (heart rate and mean arterial pressure) were used as inputs to the classifier. In the construction of the classifier model, two techniques were used to approximate the class conditional probability densities-–a single Gaussian distribution model (also known as discriminant analysis) and a non-parametric model using the Parzen window kernel density estimation method. An exhaustive feature search was performed to select a feature subset that maximized the performance indicator, Cohen's kappa coefficient (κ). The Gaussian model with multiple features achieved the best overall kappa coefficient (κ = 0.57), although the results from the non-parametric model were comparable (κ = 0.51). The optimum subset in the Gaussian model consisted of PPG waveform variability features, including the low-frequency to high-frequency ratio (LF/HF) and the normalized mid-frequency power (MFNU), in addition to the PPG pulse wave features, such as pulse width, peak-to-notch time, reflection index, and notch time ratio. The classifier performed particularly well in discriminating low SVR, with a sensitivity of 85%, specificity of 86%, positive predictive value of 88% and a negative predictive value of 82%. The results highlight the feasibility of deploying a multivariate statistical approach of SVR classification in the clinical

  17. New classification system-based visual outcome in Eales′ disease

    Directory of Open Access Journals (Sweden)

    Saxena Sandeep

    2007-01-01

    Full Text Available Purpose: A retrospective tertiary care center-based study was undertaken to evaluate the visual outcome in Eales′ disease, based on a new classification system, for the first time. Materials and Methods: One hundred and fifty-nine consecutive cases of Eales′ disease were included. All the eyes were staged according to the new classification: Stage 1: periphlebitis of small (1a and large (1b caliber vessels with superficial retinal hemorrhages; Stage 2a: capillary non-perfusion, 2b: neovascularization elsewhere/of the disc; Stage 3a: fibrovascular proliferation, 3b: vitreous hemorrhage; Stage 4a: traction/combined rhegmatogenous retinal detachment and 4b: rubeosis iridis, neovascular glaucoma, complicated cataract and optic atrophy. Visual acuity was graded as: Grade I 20/20 or better; Grade II 20/30 to 20/40; Grade III 20/60 to 20/120 and Grade IV 20/200 or worse. All the cases were managed by medical therapy, photocoagulation and/or vitreoretinal surgery. Visual acuity was converted into decimal scale, denoting 20/20=1 and 20/800=0.01. Paired t-test / Wilcoxon signed-rank tests were used for statistical analysis. Results: Vitreous hemorrhage was the commonest presenting feature (49.32%. Cases with Stages 1 to 3 and 4a and 4b achieved final visual acuity ranging from 20/15 to 20/40; 20/80 to 20/400 and 20/200 to 20/400, respectively. Statistically significant improvement in visual acuities was observed in all the stages of the disease except Stages 1a and 4b. Conclusion: Significant improvement in visual acuities was observed in the majority of stages of Eales′ disease following treatment. This study adds further to the little available evidences of treatment effects in literature and may have effect on patient care and health policy in Eales′ disease.

  18. Superiority of Classification Tree versus Cluster, Fuzzy and Discriminant Models in a Heartbeat Classification System

    Science.gov (United States)

    Krasteva, Vessela; Jekova, Irena; Leber, Remo; Schmid, Ramun; Abächerli, Roger

    2015-01-01

    This study presents a 2-stage heartbeat classifier of supraventricular (SVB) and ventricular (VB) beats. Stage 1 makes computationally-efficient classification of SVB-beats, using simple correlation threshold criterion for finding close match with a predominant normal (reference) beat template. The non-matched beats are next subjected to measurement of 20 basic features, tracking the beat and reference template morphology and RR-variability for subsequent refined classification in SVB or VB-class by Stage 2. Four linear classifiers are compared: cluster, fuzzy, linear discriminant analysis (LDA) and classification tree (CT), all subjected to iterative training for selection of the optimal feature space among extended 210-sized set, embodying interactive second-order effects between 20 independent features. The optimization process minimizes at equal weight the false positives in SVB-class and false negatives in VB-class. The training with European ST-T, AHA, MIT-BIH Supraventricular Arrhythmia databases found the best performance settings of all classification models: Cluster (30 features), Fuzzy (72 features), LDA (142 coefficients), CT (221 decision nodes) with top-3 best scored features: normalized current RR-interval, higher/lower frequency content ratio, beat-to-template correlation. Unbiased test-validation with MIT-BIH Arrhythmia database rates the classifiers in descending order of their specificity for SVB-class: CT (99.9%), LDA (99.6%), Cluster (99.5%), Fuzzy (99.4%); sensitivity for ventricular ectopic beats as part from VB-class (commonly reported in published beat-classification studies): CT (96.7%), Fuzzy (94.4%), LDA (94.2%), Cluster (92.4%); positive predictivity: CT (99.2%), Cluster (93.6%), LDA (93.0%), Fuzzy (92.4%). CT has superior accuracy by 0.3–6.8% points, with the advantage for easy model complexity configuration by pruning the tree consisted of easy interpretable ‘if-then’ rules. PMID:26461492

  19. An overview of some historical knowledge organisation systems and classifications with a special emphasy on monastery libraries’ classification

    Directory of Open Access Journals (Sweden)

    Sonja Svoljšak

    2005-01-01

    Full Text Available The article gives an overview of some most prominent historical turning – points in the field of knowledge organization an2d western European sistematization of science, based on Greek and christian philosophy. Some examples of earlier attempts to unify the systems of knowledge organization and science systematization are presented. Some specific systems of the most prominent European christian religious orders’ library contents arrangement and classification are described in this context.

  20. Asynchronous data-driven classification of weapon systems

    International Nuclear Information System (INIS)

    This communication addresses real-time weapon classification by analysis of asynchronous acoustic data, collected from microphones on a sensor network. The weapon classification algorithm consists of two parts: (i) feature extraction from time-series data using symbolic dynamic filtering (SDF), and (ii) pattern classification based on the extracted features using the language measure (LM) and support vector machine (SVM). The proposed algorithm has been tested on field data, generated by firing of two types of rifles. The results of analysis demonstrate high accuracy and fast execution of the pattern classification algorithm with low memory requirements. Potential applications include simultaneous shooter localization and weapon classification with soldier-wearable networked sensors. (rapid communication)

  1. Audio Development Laboratory (ADL) User Test Planning Guide

    Science.gov (United States)

    Romero, Andy

    2012-01-01

    Test process, milestones and inputs are unknowns to first-time users of the ADL. The User Test Planning Guide aids in establishing expectations for both NASA and non-NASA facility customers. The potential audience for this guide includes both internal and commercial spaceflight hardware/software developers. It is intended to assist their test engineering personnel in test planning and execution. Material covered includes a roadmap of the test process, roles and responsibilities of facility and user, major milestones, facility capabilities, and inputs required by the facility. Samples of deliverables, test article interfaces, and inputs necessary to define test scope, cost, and schedule are included as an appendix to the guide.

  2. Using IPEDS To Develop a Classification System for Two-Year Postsecondary Institutions.

    Science.gov (United States)

    Merisotis, Jamie P.; Shedd, Jessica M.

    2003-01-01

    Explores the development of a classification system for two-year institutions that can provide a framework for analysis and contribute to the discourse in public policy. The proposed classification system is based on cluster analyses using data from the National Center for Education Statistics' Integrated Postsecondary Education Data System…

  3. Perceptual and Acoustic Reliability Estimates for the Speech Disorders Classification System (SDCS)

    Science.gov (United States)

    Shriberg, Lawrence D.; Fourakis, Marios; Hall, Sheryl D.; Karlsson, Heather B.; Lohmeier, Heather L.; McSweeny, Jane L.; Potter, Nancy L.; Scheer-Cohen, Alison R.; Strand, Edythe A.; Tilkens, Christie M.; Wilson, David L.

    2010-01-01

    A companion paper describes three extensions to a classification system for paediatric speech sound disorders termed the Speech Disorders Classification System (SDCS). The SDCS uses perceptual and acoustic data reduction methods to obtain information on a speaker's speech, prosody, and voice. The present paper provides reliability estimates for…

  4. Volunteer-Based System for classification of traffic in computer networks

    DEFF Research Database (Denmark)

    Bujlow, Tomasz; Balachandran, Kartheepan; Riaz, M. Tahir;

    2011-01-01

    To overcome the drawbacks of existing methods for traffic classification (by ports, Deep Packet Inspection, statistical classification) a new system was developed, in which the data are collected from client machines. This paper presents design of the system, implementation, initial runs and obta...

  5. Application of the Safety Classification of Structures, Systems and Components in Nuclear Power Plants

    International Nuclear Information System (INIS)

    This publication describes how to complete tasks associated with every step of the classification methodology set out in IAEA Safety Standards Series No. SSG-30, Safety Classification of Structures, Systems and Components in Nuclear Power Plants. In particular, how to capture all the structures, systems and components (SSCs) of a nuclear power plant to be safety classified. Emphasis is placed on the SSCs that are necessary to limit radiological releases to the public and occupational doses to workers in operational conditions This publication provides information for organizations establishing a comprehensive safety classification of SSCs compliant with IAEA recommendations, and to support regulators in reviewing safety classification submitted by licensees

  6. Comparison of wheat classification accuracy using different classifiers of the image-100 system

    Science.gov (United States)

    Dejesusparada, N. (Principal Investigator); Chen, S. C.; Moreira, M. A.; Delima, A. M.

    1981-01-01

    Classification results using single-cell and multi-cell signature acquisition options, a point-by-point Gaussian maximum-likelihood classifier, and K-means clustering of the Image-100 system are presented. Conclusions reached are that: a better indication of correct classification can be provided by using a test area which contains various cover types of the study area; classification accuracy should be evaluated considering both the percentages of correct classification and error of commission; supervised classification approaches are better than K-means clustering; Gaussian distribution maximum likelihood classifier is better than Single-cell and Multi-cell Signature Acquisition Options of the Image-100 system; and in order to obtain a high classification accuracy in a large and heterogeneous crop area, using Gaussian maximum-likelihood classifier, homogeneous spectral subclasses of the study crop should be created to derive training statistics.

  7. Support for Evolving Software Architectures in the ArchWare ADL

    CERN Document Server

    Morrison, Ron; Balasubramaniam, Dharini; Mickan, Kath; Oquendo, Flavio; Cîmpan, Sorana; Warboys, Brian; Snowdon, Bob; Greenwood, Mark; 10.1109/WICSA.2004.1310691

    2010-01-01

    Software that cannot evolve is condemned to atrophy: it cannot accommodate the constant revision and re-negotiation of its business goals nor intercept the potential of new technology. To accommodate change in software systems we have defined an active software architecture to be: dynamic in that the structure and cardinality of the components and interactions are changeable during execution; updatable in that components can be replaced; decomposable in that an executing system may be (partially) stopped and split up into its components and interactions; and reflective in that the specification of components and interactions may be evolved during execution. Here we describe the facilities of the ArchWare architecture description language (ADL) for specifying active architectures. The contribution of the work is the unique combination of concepts including: a {\\pi}-calculus based communication and expression language for specifying executable architectures; hyper-code as an underlying representation of system ...

  8. The easy ADL home: A physical-virtual approach to domestic living

    DEFF Research Database (Denmark)

    Surie, Dipak; Pederson, Thomas; Janlert, Lars-Erik

    2010-01-01

    Smart environments worthy of the name need to capture, interpret, and support human activities that take place within their realms. Most existing efforts tend to focus on either real world activities or activities taking place in the virtual world accessed through digital devices. However, as...... digital computation continues to permeate our everyday real world environments, and as the border between physical and digital continues to blur for the human agents acting in these environments, we need system design approaches that can cope with human activities that span the physical-virtual gap. In...... within the easy ADL home. An initial qualitative study of the system involving 20 subjects revealed a highly positive attitude (score 4.37 out of 5) towards the system's capability of co-locating and synchronizing physical and virtual events throughout the everyday activity scenarios, while classical...

  9. Standard practice for verification and classification of extensometer systems

    CERN Document Server

    American Society for Testing and Materials. Philadelphia

    2010-01-01

    1.1 This practice covers procedures for the verification and classification of extensometer systems, but it is not intended to be a complete purchase specification. The practice is applicable only to instruments that indicate or record values that are proportional to changes in length corresponding to either tensile or compressive strain. Extensometer systems are classified on the basis of the magnitude of their errors. 1.2 Because strain is a dimensionless quantity, this document can be used for extensometers based on either SI or US customary units of displacement. Note 1—Bonded resistance strain gauges directly bonded to a specimen cannot be calibrated or verified with the apparatus described in this practice for the verification of extensometers having definite gauge points. (See procedures as described in Test Methods E251.) 1.3 This standard does not purport to address all of the safety concerns, if any, associated with its use. It is the responsibility of the user of this standard to establish app...

  10. USDA soil classification system dictates site surface management

    International Nuclear Information System (INIS)

    Success or failure of site surface management practices greatly affects long-term site stability. The US Department of Agriculture (USDA) soil classification system best documents those parameters which control the success of installed practices for managing both erosion and surface drainage. The USDA system concentrates on soil characteristics in the upper three meters of the surface that support the associated flora both physically and physiologically. The USDA soil survey first identifies soil series based on detailed characteristics that are related to production potential. Using the production potential, land use capability classes are developed. Capability classes reveal the highest and best agronomic use for the site. Lower number classes are considered arable while higher number classes are best suited for grazing agriculture. Application of ecological principles based on the USDA soil survey reveals the current state of the site relative to its ecological potential. To assure success, site management practices must be chosen that are compatible with both production capability and current state of the site

  11. An automated, real time classification system for biological and anthropogenic sounds from fixed ocean observatories

    OpenAIRE

    Zaugg, Serge Alain; Schaar, Mike van der; Houegnigan, Ludwig; André, Michel

    2010-01-01

    The automated, real time classification of acoustic events in the marine environment is an important tool to study anthropogenic sound pollution, marine mammals and for mitigating human activities that are potentially harmful. We present a real time classification system targeted at many important groups of acoustic events (clicks, buzzes, calls, whistles from several cetacean species, tonal and impulsive shipping noise and explosions). The achieved classification performance ...

  12. Analysis on Design of Kohonen-network System Based on Classification of Complex Signals

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    The key methods of detection and classification of the electroencephalogram(EEG) used in recent years are introduced . Taking EEG for example, the design plan of Kohonen neural network system based on detection and classification of complex signals is proposed, and both the network design and signal processing are analyzed, including pre-processing of signals, extraction of signal features, classification of signal and network topology, etc.

  13. Application of Group Analysis to Classification of Systems of Three Second-Order Ordinary Differential Equations

    OpenAIRE

    Suksern, S.; S. Moyo; Meleshko, S. V.

    2013-01-01

    Here we give a complete group classification of the general case of linear systems of three second-order ordinary differential equations excluding the case of systems which are studied in the literature. This is given as the initial step in the study of nonlinear systems of three second-order ordinary differential equations. In addition the complete group classification of a system of three linear second-order ordinary differential equations is done. Four cases of linear systems of equations ...

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  13. File list: DNS.Adl.20.AllAg.Temperature_sensitive_cells [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available DNS.Adl.20.AllAg.Temperature_sensitive_cells dm3 DNase-seq Adult Temperature sensit...ive cells http://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/DNS.Adl.20.AllAg.Temperature_sensitive_cells.bed ...

  14. File list: Pol.Adl.05.AllAg.Temperature_sensitive_cells [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available Pol.Adl.05.AllAg.Temperature_sensitive_cells dm3 RNA polymerase Adult Temperature s...ensitive cells http://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/Pol.Adl.05.AllAg.Temperature_sensitive_cells.bed ...

  15. File list: InP.Adl.10.Input_control.AllCell [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available InP.Adl.10.Input_control.AllCell ce10 Input control Input control Adult SRX005630,S...RX080064,SRX1388754,SRX554715,SRX080060,SRX012299,SRX012296,SRX005633 http://dbarchive.biosciencedbc.jp/kyushu-u/ce10/assembled/InP.Adl.10.Input_control.AllCell.bed ...

  16. File list: InP.Adl.50.Input_control.AllCell [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available InP.Adl.50.Input_control.AllCell ce10 Input control Input control Adult SRX005630,S...,SRX495061,SRX494898,SRX235166,SRX012299 http://dbarchive.biosciencedbc.jp/kyushu-u/ce10/assembled/InP.Adl.50.Input_control.AllCell.bed ...

  17. File list: InP.Adl.20.Input_control.AllCell [Chip-atlas[Archive

    Lifescience Database Archive (English)

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  18. File list: InP.Adl.05.Input_control.AllCell [Chip-atlas[Archive

    Lifescience Database Archive (English)

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  19. File list: ALL.Adl.05.AllAg.Adult_female [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available ALL.Adl.05.AllAg.Adult_female dm3 All antigens Adult Adult female SRX025476,SRX0422...13048,SRX032119,SRX013111 http://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/ALL.Adl.05.AllAg.Adult_female.bed ...

  20. File list: His.Adl.50.AllAg.Adult_female [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available His.Adl.50.AllAg.Adult_female dm3 Histone Adult Adult female SRX013017,SRX013034,SR...X013111,SRX013105 http://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/His.Adl.50.AllAg.Adult_female.bed ...

  1. File list: His.Adl.20.AllAg.Adult_female [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available His.Adl.20.AllAg.Adult_female dm3 Histone Adult Adult female SRX013017,SRX013034,SR...X013105,SRX013111 http://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/His.Adl.20.AllAg.Adult_female.bed ...

  2. File list: Oth.Adl.20.AllAg.Adult_female [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available Oth.Adl.20.AllAg.Adult_female dm3 TFs and others Adult Adult female SRX1084165,SRX0...25476,SRX013047,SRX041381,SRX032118,SRX016140 http://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/Oth.Adl.20.AllAg.Adult_female.bed ...

  3. File list: ALL.Adl.10.AllAg.Adult_female [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available ALL.Adl.10.AllAg.Adult_female dm3 All antigens Adult Adult female SRX013017,SRX1084...13018,SRX013111,SRX016140 http://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/ALL.Adl.10.AllAg.Adult_female.bed ...

  4. File list: His.Adl.05.AllAg.Adult_female [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available His.Adl.05.AllAg.Adult_female dm3 Histone Adult Adult female SRX013017,SRX013034,SR...X013105,SRX013111 http://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/His.Adl.05.AllAg.Adult_female.bed ...

  5. File list: ALL.Adl.20.AllAg.Adult_female [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available ALL.Adl.20.AllAg.Adult_female dm3 All antigens Adult Adult female SRX1084165,SRX013...13048,SRX013105,SRX013111 http://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/ALL.Adl.20.AllAg.Adult_female.bed ...

  6. File list: Unc.Adl.20.AllAg.Adult_female [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available Unc.Adl.20.AllAg.Adult_female dm3 Unclassified Adult Adult female SRX042248,SRX0130...18,SRX032119,SRX013048 http://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/Unc.Adl.20.AllAg.Adult_female.bed ...

  7. File list: Unc.Adl.05.AllAg.Adult_female [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available Unc.Adl.05.AllAg.Adult_female dm3 Unclassified Adult Adult female SRX042248,SRX0130...18,SRX013048,SRX032119 http://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/Unc.Adl.05.AllAg.Adult_female.bed ...

  8. File list: ALL.Adl.50.AllAg.Adult_female [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available ALL.Adl.50.AllAg.Adult_female dm3 All antigens Adult Adult female SRX1084165,SRX025...13111,SRX013105 http://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/ALL.Adl.50.AllAg.Adult_female.bed ...

  9. File list: Oth.Adl.05.AllAg.Adult_female [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available Oth.Adl.05.AllAg.Adult_female dm3 TFs and others Adult Adult female SRX025476,SRX10...84165,SRX032118,SRX041381,SRX016140,SRX013047 http://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/Oth.Adl.05.AllAg.Adult_female.bed ...

  10. File list: Unc.Adl.50.AllAg.Adult_female [Chip-atlas[Archive

    Lifescience Database Archive (English)

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  11. File list: Oth.Adl.10.AllAg.Adult_female [Chip-atlas[Archive

    Lifescience Database Archive (English)

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  12. File list: Unc.Adl.10.AllAg.Adult_female [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available Unc.Adl.10.AllAg.Adult_female dm3 Unclassified Adult Adult female SRX042248,SRX0130...48,SRX032119,SRX013018 http://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/Unc.Adl.10.AllAg.Adult_female.bed ...

  13. File list: Oth.Adl.50.AllAg.Adult_female [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available Oth.Adl.50.AllAg.Adult_female dm3 TFs and others Adult Adult female SRX1084165,SRX0...25476,SRX041381,SRX032118,SRX013047,SRX016140 http://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/Oth.Adl.50.AllAg.Adult_female.bed ...

  14. File list: His.Adl.10.AllAg.Adult_female [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available His.Adl.10.AllAg.Adult_female dm3 Histone Adult Adult female SRX013017,SRX013034,SR...X013105,SRX013111 http://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/His.Adl.10.AllAg.Adult_female.bed ...

  15. Self-reported quality of ADL task performance among patients with COPD exacerbations

    DEFF Research Database (Denmark)

    Bendixen, Hans Jørgen; Wæhrens, Eva Elisabet Ejlersen; Wilcke, Jon Torgny;

    2014-01-01

    OBJECTIVE: Patients suffering from chronic obstructive pulmonary disease (COPD) experience problems in the performance of activities of daily living (ADL) tasks. The objective was to examine the self-reported quality of ADL task performance among COPD patients, and to investigate whether age, gen...

  16. File list: His.Adl.20.AllAg.Adult_male [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available His.Adl.20.AllAg.Adult_male dm3 Histone Adult Adult male SRX013084,SRX013033,SRX013...032,SRX013013 http://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/His.Adl.20.AllAg.Adult_male.bed ...

  17. File list: His.Adl.50.AllAg.Adult_male [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available His.Adl.50.AllAg.Adult_male dm3 Histone Adult Adult male SRX013084,SRX013032,SRX013...033,SRX013013 http://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/His.Adl.50.AllAg.Adult_male.bed ...

  18. File list: His.Adl.05.AllAg.Adult_male [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available His.Adl.05.AllAg.Adult_male dm3 Histone Adult Adult male SRX013084,SRX013033,SRX013...032,SRX013013 http://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/His.Adl.05.AllAg.Adult_male.bed ...

  19. File list: ALL.Adl.05.AllAg.Adult_male [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available ALL.Adl.05.AllAg.Adult_male dm3 All antigens Adult Adult male SRX013084,SRX013049,S...RX013033,SRX013050,SRX013032,SRX013013 http://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/ALL.Adl.05.AllAg.Adult_male.bed ...

  20. File list: ALL.Adl.50.AllAg.Adult_male [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available ALL.Adl.50.AllAg.Adult_male dm3 All antigens Adult Adult male SRX013049,SRX013084,S...RX013050,SRX013032,SRX013033,SRX013013 http://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/ALL.Adl.50.AllAg.Adult_male.bed ...

  1. File list: ALL.Adl.20.AllAg.Adult_male [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available ALL.Adl.20.AllAg.Adult_male dm3 All antigens Adult Adult male SRX013049,SRX013050,S...RX013084,SRX013033,SRX013032,SRX013013 http://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/ALL.Adl.20.AllAg.Adult_male.bed ...

  2. File list: His.Adl.10.AllAg.Adult_male [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available His.Adl.10.AllAg.Adult_male dm3 Histone Adult Adult male SRX013033,SRX013032,SRX013...084,SRX013013 http://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/His.Adl.10.AllAg.Adult_male.bed ...

  3. File list: ALL.Adl.10.AllAg.Adult_male [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available ALL.Adl.10.AllAg.Adult_male dm3 All antigens Adult Adult male SRX013049,SRX013033,S...RX013032,SRX013050,SRX013084,SRX013013 http://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/ALL.Adl.10.AllAg.Adult_male.bed ...

  4. File list: Pol.Adl.05.RNA_polymerase_III.AllCell [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available Pol.Adl.05.RNA_polymerase_III.AllCell ce10 RNA polymerase RNA polymerase III Adult ...SRX395531,SRX331268,SRX331270,SRX395532 http://dbarchive.biosciencedbc.jp/kyushu-u/ce10/assembled/Pol.Adl.05.RNA_polymerase_III.AllCell.bed ...

  5. File list: Pol.Adl.05.RNA_Polymerase_II.AllCell [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available Pol.Adl.05.RNA_Polymerase_II.AllCell ce10 RNA polymerase RNA Polymerase II Adult SR...SRX1388757,SRX1388756 http://dbarchive.biosciencedbc.jp/kyushu-u/ce10/assembled/Pol.Adl.05.RNA_Polymerase_II.AllCell.bed ...

  6. File list: Pol.Adl.50.RNA_polymerase_II.AllCell [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available Pol.Adl.50.RNA_polymerase_II.AllCell ce10 RNA polymerase RNA polymerase II Adult SR...SRX043965,SRX005629,SRX043964,SRX554718 http://dbarchive.biosciencedbc.jp/kyushu-u/ce10/assembled/Pol.Adl.50.RNA_polymerase_II.AllCell.bed ...

  7. File list: Oth.Adl.05.coh-3.AllCell [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available Oth.Adl.05.coh-3.AllCell ce10 TFs and others coh-3 Adult SRX494912,SRX494892,SRX494...893,SRX494913 http://dbarchive.biosciencedbc.jp/kyushu-u/ce10/assembled/Oth.Adl.05.coh-3.AllCell.bed ...

  8. File list: Oth.Adl.10.coh-1.AllCell [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available Oth.Adl.10.coh-1.AllCell ce10 TFs and others coh-1 Adult SRX466565,SRX495079,SRX466...566,SRX495080 http://dbarchive.biosciencedbc.jp/kyushu-u/ce10/assembled/Oth.Adl.10.coh-1.AllCell.bed ...

  9. File list: Oth.Adl.20.coh-3.AllCell [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available Oth.Adl.20.coh-3.AllCell ce10 TFs and others coh-3 Adult SRX494912,SRX494892,SRX494...893,SRX494913 http://dbarchive.biosciencedbc.jp/kyushu-u/ce10/assembled/Oth.Adl.20.coh-3.AllCell.bed ...

  10. File list: Oth.Adl.50.coh-1.AllCell [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available Oth.Adl.50.coh-1.AllCell ce10 TFs and others coh-1 Adult SRX466565,SRX495079,SRX495...080,SRX466566 http://dbarchive.biosciencedbc.jp/kyushu-u/ce10/assembled/Oth.Adl.50.coh-1.AllCell.bed ...

  11. File list: Oth.Adl.50.coh-3.AllCell [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available Oth.Adl.50.coh-3.AllCell ce10 TFs and others coh-3 Adult SRX494912,SRX494892,SRX494...893,SRX494913 http://dbarchive.biosciencedbc.jp/kyushu-u/ce10/assembled/Oth.Adl.50.coh-3.AllCell.bed ...

  12. File list: Oth.Adl.20.coh-1.AllCell [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available Oth.Adl.20.coh-1.AllCell ce10 TFs and others coh-1 Adult SRX466565,SRX495079,SRX495...080,SRX466566 http://dbarchive.biosciencedbc.jp/kyushu-u/ce10/assembled/Oth.Adl.20.coh-1.AllCell.bed ...

  13. File list: Oth.Adl.05.coh-1.AllCell [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available Oth.Adl.05.coh-1.AllCell ce10 TFs and others coh-1 Adult SRX495079,SRX466565,SRX495...080,SRX466566 http://dbarchive.biosciencedbc.jp/kyushu-u/ce10/assembled/Oth.Adl.05.coh-1.AllCell.bed ...

  14. File list: Oth.Adl.10.coh-3.AllCell [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available Oth.Adl.10.coh-3.AllCell ce10 TFs and others coh-3 Adult SRX494912,SRX494892,SRX494...893,SRX494913 http://dbarchive.biosciencedbc.jp/kyushu-u/ce10/assembled/Oth.Adl.10.coh-3.AllCell.bed ...

  15. File list: Oth.Adl.50.Epitope_tags.AllCell [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available Oth.Adl.50.Epitope_tags.AllCell dm3 TFs and others Epitope tags Adult SRX181419,SRX...ttp://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/Oth.Adl.50.Epitope_tags.AllCell.bed ...

  16. File list: Oth.Adl.20.Epitope_tags.AllCell [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available Oth.Adl.20.Epitope_tags.AllCell dm3 TFs and others Epitope tags Adult SRX181427,SRX...ttp://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/Oth.Adl.20.Epitope_tags.AllCell.bed ...

  17. File list: Oth.Adl.05.Epitope_tags.AllCell [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available Oth.Adl.05.Epitope_tags.AllCell dm3 TFs and others Epitope tags Adult SRX181427,SRX...ttp://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/Oth.Adl.05.Epitope_tags.AllCell.bed ...

  18. File list: InP.Adl.20.AllAg.Young_adult [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available InP.Adl.20.AllAg.Young_adult ce10 Input control Adult Young adult SRX005630,SRX0056...9 http://dbarchive.biosciencedbc.jp/kyushu-u/ce10/assembled/InP.Adl.20.AllAg.Young_adult.bed ...

  19. File list: His.Adl.05.AllAg.Young_adult [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available His.Adl.05.AllAg.Young_adult ce10 Histone Adult Young adult SRX554723,SRX1388779,SR...RX1388775,SRX554734,SRX1388768,SRX012297,SRX012298,SRX012300 http://dbarchive.biosciencedbc.jp/kyushu-u/ce10/assembled/His.Adl.05.AllAg.Young_adult.bed ...

  20. File list: Oth.Adl.20.AllAg.Young_adult [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available Oth.Adl.20.AllAg.Young_adult ce10 TFs and others Adult Young adult SRX331330,SRX146...,SRX054208,SRX054210 http://dbarchive.biosciencedbc.jp/kyushu-u/ce10/assembled/Oth.Adl.20.AllAg.Young_adult.bed ...

  1. File list: InP.Adl.50.AllAg.Young_adult [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available InP.Adl.50.AllAg.Young_adult ce10 Input control Adult Young adult SRX005630,SRX3732...X331269,SRX331331,SRX467093,SRX982096,SRX1388752,SRX1388749,SRX235166,SRX012299 http://dbarchive.biosciencedbc.jp/kyushu-u/ce10/assembled/InP.Adl.50.AllAg.Young_adult.bed ...

  2. File list: ALL.Adl.10.AllAg.Young_adult [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available ALL.Adl.10.AllAg.Young_adult ce10 All antigens Adult Young adult SRX395531,SRX08007...4210,SRX005633 http://dbarchive.biosciencedbc.jp/kyushu-u/ce10/assembled/ALL.Adl.10.AllAg.Young_adult.bed ...

  3. File list: Unc.Adl.05.AllAg.Young_adult [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available Unc.Adl.05.AllAg.Young_adult ce10 Unclassified Adult Young adult SRX707297,SRX70729...8 http://dbarchive.biosciencedbc.jp/kyushu-u/ce10/assembled/Unc.Adl.05.AllAg.Young_adult.bed ...

  4. File list: InP.Adl.10.AllAg.Young_adult [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available InP.Adl.10.AllAg.Young_adult ce10 Input control Adult Young adult SRX005630,SRX0056...6,SRX005633 http://dbarchive.biosciencedbc.jp/kyushu-u/ce10/assembled/InP.Adl.10.AllAg.Young_adult.bed ...

  5. File list: Pol.Adl.10.AllAg.Young_adult [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available Pol.Adl.10.AllAg.Young_adult ce10 RNA polymerase Adult Young adult SRX395531,SRX331...RX043965 http://dbarchive.biosciencedbc.jp/kyushu-u/ce10/assembled/Pol.Adl.10.AllAg.Young_adult.bed ...

  6. File list: ALL.Adl.50.AllAg.Young_adult [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available ALL.Adl.50.AllAg.Young_adult ce10 All antigens Adult Young adult SRX331330,SRX14642...54208,SRX054210,SRX054211 http://dbarchive.biosciencedbc.jp/kyushu-u/ce10/assembled/ALL.Adl.50.AllAg.Young_adult.bed ...

  7. File list: His.Adl.50.AllAg.Young_adult [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available His.Adl.50.AllAg.Young_adult ce10 Histone Adult Young adult SRX1388777,SRX554723,SR...1388779,SRX1388772,SRX1388771,SRX1388778,SRX012297 http://dbarchive.biosciencedbc.jp/kyushu-u/ce10/assembled/His.Adl.50.AllAg.Young_adult.bed ...

  8. File list: Oth.Adl.10.AllAg.Young_adult [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available Oth.Adl.10.AllAg.Young_adult ce10 TFs and others Adult Young adult SRX080072,SRX331...,SRX054211,SRX054210 http://dbarchive.biosciencedbc.jp/kyushu-u/ce10/assembled/Oth.Adl.10.AllAg.Young_adult.bed ...

  9. File list: Oth.Adl.50.AllAg.Young_adult [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available Oth.Adl.50.AllAg.Young_adult ce10 TFs and others Adult Young adult SRX331330,SRX146...,SRX054211 http://dbarchive.biosciencedbc.jp/kyushu-u/ce10/assembled/Oth.Adl.50.AllAg.Young_adult.bed ...

  10. File list: InP.Adl.05.AllAg.Young_adult [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available InP.Adl.05.AllAg.Young_adult ce10 Input control Adult Young adult SRX005630,SRX4670...9,SRX005633 http://dbarchive.biosciencedbc.jp/kyushu-u/ce10/assembled/InP.Adl.05.AllAg.Young_adult.bed ...

  11. File list: Pol.Adl.20.AllAg.Young_adult [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available Pol.Adl.20.AllAg.Young_adult ce10 RNA polymerase Adult Young adult SRX331268,SRX331...RX043964 http://dbarchive.biosciencedbc.jp/kyushu-u/ce10/assembled/Pol.Adl.20.AllAg.Young_adult.bed ...

  12. File list: Unc.Adl.20.AllAg.Young_adult [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available Unc.Adl.20.AllAg.Young_adult ce10 Unclassified Adult Young adult SRX707297,SRX70729...8 http://dbarchive.biosciencedbc.jp/kyushu-u/ce10/assembled/Unc.Adl.20.AllAg.Young_adult.bed ...

  13. File list: ALL.Adl.05.AllAg.Young_adult [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available ALL.Adl.05.AllAg.Young_adult ce10 All antigens Adult Young adult SRX080072,SRX39553...2299,SRX005633 http://dbarchive.biosciencedbc.jp/kyushu-u/ce10/assembled/ALL.Adl.05.AllAg.Young_adult.bed ...

  14. File list: Unc.Adl.10.AllAg.Young_adult [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available Unc.Adl.10.AllAg.Young_adult ce10 Unclassified Adult Young adult SRX707297,SRX70729...8 http://dbarchive.biosciencedbc.jp/kyushu-u/ce10/assembled/Unc.Adl.10.AllAg.Young_adult.bed ...

  15. File list: Pol.Adl.05.AllAg.Young_adult [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available Pol.Adl.05.AllAg.Young_adult ce10 RNA polymerase Adult Young adult SRX395531,SRX331...RX043965 http://dbarchive.biosciencedbc.jp/kyushu-u/ce10/assembled/Pol.Adl.05.AllAg.Young_adult.bed ...

  16. File list: His.Adl.10.AllAg.Young_adult [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available His.Adl.10.AllAg.Young_adult ce10 Histone Adult Young adult SRX1388777,SRX1388779,S...SRX554724,SRX554734,SRX1388769,SRX012297,SRX012298,SRX012300 http://dbarchive.biosciencedbc.jp/kyushu-u/ce10/assembled/His.Adl.10.AllAg.Young_adult.bed ...

  17. File list: ALL.Adl.20.AllAg.Young_adult [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available ALL.Adl.20.AllAg.Young_adult ce10 All antigens Adult Young adult SRX331330,SRX14642...4210 http://dbarchive.biosciencedbc.jp/kyushu-u/ce10/assembled/ALL.Adl.20.AllAg.Young_adult.bed ...

  18. File list: ALL.Adl.10.AllAg.Ovary [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available ALL.Adl.10.AllAg.Ovary dm3 All antigens Adult Ovary SRX485215,SRX1149373,SRX485203,...X215623,SRX215627 http://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/ALL.Adl.10.AllAg.Ovary.bed ...

  19. File list: ALL.Adl.05.AllAg.Ovary [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available ALL.Adl.05.AllAg.Ovary dm3 All antigens Adult Ovary SRX101478,SRX485215,SRX264599,S...215627,SRX1165009 http://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/ALL.Adl.05.AllAg.Ovary.bed ...

  20. File list: ALL.Adl.20.AllAg.Ovary [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available ALL.Adl.20.AllAg.Ovary dm3 All antigens Adult Ovary SRX201903,SRX485216,SRX201902,S...X215627,SRX485205 http://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/ALL.Adl.20.AllAg.Ovary.bed ...

  1. File list: ALL.Adl.50.AllAg.Ovary [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available ALL.Adl.50.AllAg.Ovary dm3 All antigens Adult Ovary SRX485220,SRX485219,SRX1134696,...X485205,SRX661228 http://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/ALL.Adl.50.AllAg.Ovary.bed ...

  2. File list: Unc.Adl.10.AllAg.Egg_chamber [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available Unc.Adl.10.AllAg.Egg_chamber dm3 Unclassified Adult Egg chamber SRX914951,SRX914955...,SRX914953,SRX914957 http://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/Unc.Adl.10.AllAg.Egg_chamber.bed ...

  3. File list: Unc.Adl.50.AllAg.Egg_chamber [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available Unc.Adl.50.AllAg.Egg_chamber dm3 Unclassified Adult Egg chamber SRX914955,SRX914951...,SRX914953 http://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/Unc.Adl.50.AllAg.Egg_chamber.bed ...

  4. File list: ALL.Adl.20.AllAg.Egg_chamber [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available ALL.Adl.20.AllAg.Egg_chamber dm3 All antigens Adult Egg chamber SRX914951,SRX914955...13,SRX914958,SRX914966,SRX914964,SRX706811,SRX914954,SRX706815,SRX706812,SRX706816,SRX706810 http://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/ALL.Adl.20.AllAg.Egg_chamber.bed ...

  5. File list: InP.Adl.20.AllAg.Egg_chamber [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available InP.Adl.20.AllAg.Egg_chamber dm3 Input control Adult Egg chamber SRX706813,SRX70681...2,SRX706816 http://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/InP.Adl.20.AllAg.Egg_chamber.bed ...

  6. File list: ALL.Adl.10.AllAg.Egg_chamber [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available ALL.Adl.10.AllAg.Egg_chamber dm3 All antigens Adult Egg chamber SRX914951,SRX914955...58,SRX706813,SRX706815,SRX914957,SRX706816,SRX914964,SRX706811,SRX914966,SRX914954,SRX706812 http://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/ALL.Adl.10.AllAg.Egg_chamber.bed ...

  7. File list: ALL.Adl.05.AllAg.Egg_chamber [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available ALL.Adl.05.AllAg.Egg_chamber dm3 All antigens Adult Egg chamber SRX914955,SRX914951...64,SRX706811,SRX914958,SRX914957,SRX706813,SRX914962,SRX914954,SRX914966,SRX706812,SRX706816 http://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/ALL.Adl.05.AllAg.Egg_chamber.bed ...

  8. File list: Oth.Adl.50.AllAg.Egg_chamber [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available Oth.Adl.50.AllAg.Egg_chamber dm3 TFs and others Adult Egg chamber SRX706815,SRX7068...11,SRX706814,SRX706810 http://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/Oth.Adl.50.AllAg.Egg_chamber.bed ...

  9. File list: InP.Adl.50.AllAg.Egg_chamber [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available InP.Adl.50.AllAg.Egg_chamber dm3 Input control Adult Egg chamber SRX706812,SRX70681...6,SRX706813 http://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/InP.Adl.50.AllAg.Egg_chamber.bed ...

  10. File list: His.Adl.50.AllAg.Egg_chamber [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available His.Adl.50.AllAg.Egg_chamber dm3 Histone Adult Egg chamber SRX914961,SRX914956,SRX9...14962,SRX914952,SRX914960,SRX914958,SRX914964,SRX914954,SRX914966,SRX914963,SRX914959 http://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/His.Adl.50.AllAg.Egg_chamber.bed ...

  11. File list: Oth.Adl.05.AllAg.Egg_chamber [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available Oth.Adl.05.AllAg.Egg_chamber dm3 TFs and others Adult Egg chamber SRX706810,SRX7068...14,SRX706815,SRX706811 http://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/Oth.Adl.05.AllAg.Egg_chamber.bed ...

  12. File list: His.Adl.20.AllAg.Egg_chamber [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available His.Adl.20.AllAg.Egg_chamber dm3 Histone Adult Egg chamber SRX914961,SRX914956,SRX9...14959,SRX914952,SRX914963,SRX914962,SRX914960,SRX914958,SRX914966,SRX914964,SRX914954 http://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/His.Adl.20.AllAg.Egg_chamber.bed ...

  13. File list: Oth.Adl.10.AllAg.Egg_chamber [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available Oth.Adl.10.AllAg.Egg_chamber dm3 TFs and others Adult Egg chamber SRX706814,SRX7068...10,SRX706815,SRX706811 http://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/Oth.Adl.10.AllAg.Egg_chamber.bed ...

  14. File list: Unc.Adl.05.AllAg.Egg_chamber [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available Unc.Adl.05.AllAg.Egg_chamber dm3 Unclassified Adult Egg chamber SRX914955,SRX914951...,SRX914953,SRX914957 http://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/Unc.Adl.05.AllAg.Egg_chamber.bed ...

  15. File list: His.Adl.10.AllAg.Egg_chamber [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available His.Adl.10.AllAg.Egg_chamber dm3 Histone Adult Egg chamber SRX914961,SRX914952,SRX9...14956,SRX914959,SRX914960,SRX914963,SRX914962,SRX914958,SRX914964,SRX914966,SRX914954 http://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/His.Adl.10.AllAg.Egg_chamber.bed ...

  16. File list: His.Adl.05.AllAg.Egg_chamber [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available His.Adl.05.AllAg.Egg_chamber dm3 Histone Adult Egg chamber SRX914961,SRX914959,SRX9...14956,SRX914952,SRX914963,SRX914960,SRX914964,SRX914958,SRX914962,SRX914954,SRX914966 http://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/His.Adl.05.AllAg.Egg_chamber.bed ...

  17. File list: InP.Adl.10.AllAg.Egg_chamber [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available InP.Adl.10.AllAg.Egg_chamber dm3 Input control Adult Egg chamber SRX706813,SRX70681...6,SRX706812 http://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/InP.Adl.10.AllAg.Egg_chamber.bed ...

  18. File list: ALL.Adl.50.AllAg.Egg_chamber [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available ALL.Adl.50.AllAg.Egg_chamber dm3 All antigens Adult Egg chamber SRX914955,SRX914951...16,SRX914954,SRX914966,SRX706813,SRX914963,SRX914959,SRX706814,SRX706810,SRX914953 http://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/ALL.Adl.50.AllAg.Egg_chamber.bed ...

  19. File list: Unc.Adl.20.AllAg.Egg_chamber [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available Unc.Adl.20.AllAg.Egg_chamber dm3 Unclassified Adult Egg chamber SRX914951,SRX914955...,SRX914953,SRX914957 http://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/Unc.Adl.20.AllAg.Egg_chamber.bed ...

  20. File list: InP.Adl.05.AllAg.Egg_chamber [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available InP.Adl.05.AllAg.Egg_chamber dm3 Input control Adult Egg chamber SRX706813,SRX70681...2,SRX706816 http://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/InP.Adl.05.AllAg.Egg_chamber.bed ...

  1. File list: Oth.Adl.20.AllAg.Egg_chamber [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available Oth.Adl.20.AllAg.Egg_chamber dm3 TFs and others Adult Egg chamber SRX706814,SRX7068...11,SRX706815,SRX706810 http://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/Oth.Adl.20.AllAg.Egg_chamber.bed ...

  2. File list: ALL.Adl.05.AllAg.Testis [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available ALL.Adl.05.AllAg.Testis dm3 All antigens Adult Testis SRX017854,SRX017856,SRX017857...,SRX390503,SRX390501,SRX390502 http://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/ALL.Adl.05.AllAg.Testis.bed ...

  3. File list: His.Adl.20.AllAg.Testis [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available His.Adl.20.AllAg.Testis dm3 Histone Adult Testis SRX390502,SRX390501,SRX017856,SRX0...17854 http://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/His.Adl.20.AllAg.Testis.bed ...

  4. File list: ALL.Adl.10.AllAg.Testis [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available ALL.Adl.10.AllAg.Testis dm3 All antigens Adult Testis SRX017857,SRX017854,SRX017856...,SRX390502,SRX390501,SRX390503 http://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/ALL.Adl.10.AllAg.Testis.bed ...

  5. File list: ALL.Adl.50.AllAg.Testis [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available ALL.Adl.50.AllAg.Testis dm3 All antigens Adult Testis SRX390502,SRX390501,SRX390503...,SRX017856,SRX017854 http://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/ALL.Adl.50.AllAg.Testis.bed ...

  6. File list: His.Adl.50.AllAg.Testis [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available His.Adl.50.AllAg.Testis dm3 Histone Adult Testis SRX390502,SRX390501,SRX017856,SRX0...17854 http://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/His.Adl.50.AllAg.Testis.bed ...

  7. File list: His.Adl.05.AllAg.Testis [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available His.Adl.05.AllAg.Testis dm3 Histone Adult Testis SRX017854,SRX017856,SRX390501,SRX3...90502 http://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/His.Adl.05.AllAg.Testis.bed ...

  8. File list: His.Adl.10.AllAg.Testis [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available His.Adl.10.AllAg.Testis dm3 Histone Adult Testis SRX017854,SRX017856,SRX390502,SRX3...90501 http://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/His.Adl.10.AllAg.Testis.bed ...

  9. File list: ALL.Adl.20.AllAg.Testis [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available ALL.Adl.20.AllAg.Testis dm3 All antigens Adult Testis SRX017857,SRX390502,SRX390501...,SRX017856,SRX390503,SRX017854 http://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/ALL.Adl.20.AllAg.Testis.bed ...

  10. File list: Oth.Adl.10.AllAg.Adult_male_fatbody [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available Oth.Adl.10.AllAg.Adult_male_fatbody dm3 TFs and others Adult Adult male fatbody htt...p://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/Oth.Adl.10.AllAg.Adult_male_fatbody.bed ...

  11. File list: Oth.Adl.10.AllAg.Adult_body [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available Oth.Adl.10.AllAg.Adult_body dm3 TFs and others Adult Adult body SRX181433,SRX181435...,SRX181431,SRX181437,SRX181439,SRX181441 http://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/Oth.Adl.10.AllAg.Adult_body.bed ...

  12. File list: InP.Adl.20.AllAg.Adult_body [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available InP.Adl.20.AllAg.Adult_body dm3 Input control Adult Adult body SRX181432,SRX181440,...SRX181436,SRX181438,SRX181434,SRX181442 http://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/InP.Adl.20.AllAg.Adult_body.bed ...

  13. File list: ALL.Adl.05.AllAg.Adult_male_fatbody [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available ALL.Adl.05.AllAg.Adult_male_fatbody dm3 All antigens Adult Adult male fatbody SRX04...2245,SRX042251,SRX042250 http://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/ALL.Adl.05.AllAg.Adult_male_fatbody.bed ...

  14. File list: Unc.Adl.05.AllAg.Adult_male_fatbody [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available Unc.Adl.05.AllAg.Adult_male_fatbody dm3 Unclassified Adult Adult male fatbody SRX04...2245,SRX042251,SRX042250 http://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/Unc.Adl.05.AllAg.Adult_male_fatbody.bed ...

  15. File list: ALL.Adl.50.AllAg.Adult_male_fatbody [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available ALL.Adl.50.AllAg.Adult_male_fatbody dm3 All antigens Adult Adult male fatbody SRX04...2251,SRX042245,SRX042250 http://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/ALL.Adl.50.AllAg.Adult_male_fatbody.bed ...

  16. File list: Unc.Adl.10.AllAg.Adult_male_fatbody [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available Unc.Adl.10.AllAg.Adult_male_fatbody dm3 Unclassified Adult Adult male fatbody SRX04...2251,SRX042245,SRX042250 http://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/Unc.Adl.10.AllAg.Adult_male_fatbody.bed ...

  17. File list: Pol.Adl.20.AllAg.Adult_male_fatbody [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available Pol.Adl.20.AllAg.Adult_male_fatbody dm3 RNA polymerase Adult Adult male fatbody htt...p://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/Pol.Adl.20.AllAg.Adult_male_fatbody.bed ...

  18. File list: Pol.Adl.10.AllAg.Adult_male_fatbody [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available Pol.Adl.10.AllAg.Adult_male_fatbody dm3 RNA polymerase Adult Adult male fatbody htt...p://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/Pol.Adl.10.AllAg.Adult_male_fatbody.bed ...

  19. File list: ALL.Adl.20.AllAg.Adult_male_fatbody [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available ALL.Adl.20.AllAg.Adult_male_fatbody dm3 All antigens Adult Adult male fatbody SRX04...2251,SRX042245,SRX042250 http://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/ALL.Adl.20.AllAg.Adult_male_fatbody.bed ...

  20. File list: ALL.Adl.10.AllAg.Adult_male_fatbody [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available ALL.Adl.10.AllAg.Adult_male_fatbody dm3 All antigens Adult Adult male fatbody SRX04...2251,SRX042245,SRX042250 http://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/ALL.Adl.10.AllAg.Adult_male_fatbody.bed ...

  1. File list: Oth.Adl.05.AllAg.Adult_body [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available Oth.Adl.05.AllAg.Adult_body dm3 TFs and others Adult Adult body SRX181435,SRX181431...,SRX181433,SRX181437,SRX181441,SRX181439 http://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/Oth.Adl.05.AllAg.Adult_body.bed ...

  2. File list: InP.Adl.10.AllAg.Adult_body [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available InP.Adl.10.AllAg.Adult_body dm3 Input control Adult Adult body SRX181432,SRX181440,...SRX181436,SRX181434,SRX181438,SRX181442 http://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/InP.Adl.10.AllAg.Adult_body.bed ...

  3. File list: Oth.Adl.50.AllAg.Adult_male_fatbody [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available Oth.Adl.50.AllAg.Adult_male_fatbody dm3 TFs and others Adult Adult male fatbody htt...p://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/Oth.Adl.50.AllAg.Adult_male_fatbody.bed ...

  4. File list: InP.Adl.05.AllAg.Adult_body [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available InP.Adl.05.AllAg.Adult_body dm3 Input control Adult Adult body SRX181440,SRX181432,...SRX181436,SRX181434,SRX181438,SRX181442 http://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/InP.Adl.05.AllAg.Adult_body.bed ...

  5. File list: Pol.Adl.50.AllAg.Adult_male_fatbody [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available Pol.Adl.50.AllAg.Adult_male_fatbody dm3 RNA polymerase Adult Adult male fatbody htt...p://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/Pol.Adl.50.AllAg.Adult_male_fatbody.bed ...

  6. File list: Oth.Adl.20.AllAg.Adult_male_fatbody [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available Oth.Adl.20.AllAg.Adult_male_fatbody dm3 TFs and others Adult Adult male fatbody htt...p://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/Oth.Adl.20.AllAg.Adult_male_fatbody.bed ...

  7. File list: Oth.Adl.50.AllAg.Adult_body [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available Oth.Adl.50.AllAg.Adult_body dm3 TFs and others Adult Adult body SRX181435,SRX181431...,SRX181437,SRX181433,SRX181441,SRX181439 http://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/Oth.Adl.50.AllAg.Adult_body.bed ...

  8. File list: Unc.Adl.50.AllAg.Adult_male_fatbody [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available Unc.Adl.50.AllAg.Adult_male_fatbody dm3 Unclassified Adult Adult male fatbody SRX04...2251,SRX042245,SRX042250 http://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/Unc.Adl.50.AllAg.Adult_male_fatbody.bed ...

  9. File list: Oth.Adl.20.AllAg.Adult_body [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available Oth.Adl.20.AllAg.Adult_body dm3 TFs and others Adult Adult body SRX181435,SRX181437...,SRX181431,SRX181433,SRX181441,SRX181439 http://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/Oth.Adl.20.AllAg.Adult_body.bed ...

  10. File list: Oth.Adl.05.AllAg.Adult_male_fatbody [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available Oth.Adl.05.AllAg.Adult_male_fatbody dm3 TFs and others Adult Adult male fatbody htt...p://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/Oth.Adl.05.AllAg.Adult_male_fatbody.bed ...

  11. File list: Unc.Adl.20.AllAg.Adult_male_fatbody [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available Unc.Adl.20.AllAg.Adult_male_fatbody dm3 Unclassified Adult Adult male fatbody SRX04...2251,SRX042245,SRX042250 http://dbarchive.biosciencedbc.jp/kyushu-u/dm3/assembled/Unc.Adl.20.AllAg.Adult_male_fatbody.bed ...

  12. File list: His.Adl.20.AllAg.Adult [Chip-atlas[Archive

    Lifescience Database Archive (English)

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  18. File list: ALL.Adl.10.AllAg.Adult [Chip-atlas[Archive

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  19. File list: ALL.Adl.20.AllAg.Adult [Chip-atlas[Archive

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  17. File list: His.Adl.50.AllAg.Octopaminergic_neurons [Chip-atlas[Archive

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  18. File list: ALL.Adl.50.AllAg.Octopaminergic_neurons [Chip-atlas[Archive

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  13. Chinese soil taxonomy: Between the American and the international classification systems

    Science.gov (United States)

    Gerasimova, M. I.

    2010-08-01

    The development of soil classification in China has progressed in a rather complicated way; to a great extent, it has depended on the state policy. The former classifications had a zonal-factor trend: the first Chinese classification system was an analogue of the American classifications of the middle American period; in 1954-1984, the Soviet system was used, where names of the soils did not differ from those accepted in the USSR. In 1994, the Chinese Soil Taxonomy was created, which replicated the American classification in the structure, principles and terminology but emphasized some Chinese specificity. In the next variant of the Chinese system of 2001 (the object discussed in this paper), some elements of the International System (WRB) appeared, and the process-genetic approaches are displayed rather distinctly.

  14. Automated cloud classification with a fuzzy logic expert system

    Science.gov (United States)

    Tovinkere, Vasanth; Baum, Bryan A.

    1993-01-01

    An unresolved problem in current cloud retrieval algorithms concerns the analysis of scenes containing overlapping cloud layers. Cloud parameterizations are very important both in global climate models and in studies of the Earth's radiation budget. Most cloud retrieval schemes, such as the bispectral method used by the International Satellite Cloud Climatology Project (ISCCP), have no way of determining whether overlapping cloud layers exist in any group of satellite pixels. One promising method uses fuzzy logic to determine whether mixed cloud and/or surface types exist within a group of pixels, such as cirrus, land, and water, or cirrus and stratus. When two or more class types are present, fuzzy logic uses membership values to assign the group of pixels partially to the different class types. The strength of fuzzy logic lies in its ability to work with patterns that may include more than one class, facilitating greater information extraction from satellite radiometric data. The development of the fuzzy logic rule-based expert system involves training the fuzzy classifier with spectral and textural features calculated from accurately labeled 32x32 regions of Advanced Very High Resolution Radiometer (AVHRR) 1.1-km data. The spectral data consists of AVHRR channels 1 (0.55-0.68 mu m), 2 (0.725-1.1 mu m), 3 (3.55-3.93 mu m), 4 (10.5-11.5 mu m), and 5 (11.5-12.5 mu m), which include visible, near-infrared, and infrared window regions. The textural features are based on the gray level difference vector (GLDV) method. A sophisticated new interactive visual image Classification System (IVICS) is used to label samples chosen from scenes collected during the FIRE IFO II. The training samples are chosen from predefined classes, chosen to be ocean, land, unbroken stratiform, broken stratiform, and cirrus. The November 28, 1991 NOAA overpasses contain complex multilevel cloud situations ideal for training and validating the fuzzy logic expert system.

  15. Biopharmaceutics classification system: importance and inclusion in biowaiver guidance

    Directory of Open Access Journals (Sweden)

    Lorena Barbosa Arrunátegui

    2015-03-01

    Full Text Available Pharmacological therapy is essential in many diseases treatment and it is important that the medicine policy is intended to offering safe and effective treatment with affordable price to the population. One way to achieve this is through biowaiver, defined as the replacement of in vivo bioequivalence studies by in vitro studies. For biowaiver of new immediate release solid oral dosage forms, data such as intestinal permeability and solubility of the drug are required, as well as the product dissolution. The Biopharmaceutics Classification System (BCS is a scientific scheme that divides drugs according to their solubility and permeability and has been used by various guides as a criterion for biowaiver. This paper evaluates biowaiver application, addressing the general concepts and parameters used by BCS, making a historical account of its use, the requirements pertaining to the current legislation, the benefits and risks associated with this decision. The results revealed that the use of BCS as a biowaiver criterion greatly expands the therapeutics options, contributing to greater therapy access of the general population with drug efficacy and safety guaranteed associated to low cost.

  16. Hazard Classification of Household Chemical Products in Korea according to the Globally Harmonized System of Classification and labeling of Chemicals

    OpenAIRE

    Kim, Kyung-Hee; Song, Dae-Jong; Yu, Myeong-Hyun; Park, Yuon-Shin; Noh, Hye-Ran; Kim, Hae-Joon; Choi, Jae-Wook

    2013-01-01

    Objectives This study was conducted to review the validity of the need for the application of the Globally Harmonized System of Classification and Labeling of Chemicals (GHS) to household chemical products in Korea. The study also aimed to assess the severity of health and environmental hazards of household chemical products using the GHS. Methods 135 products were classified as ‘cleaning agents and polishing agents’ and 98 products were classified as ‘bleaches, disinfectants, and germicides....

  17. Invariant Classification and Limits of Maximally Superintegrable Systems in 3D

    OpenAIRE

    Capel, Joshua J.; Kress, Jonathan M.; Post, Sarah

    2015-01-01

    The invariant classification of superintegrable systems is reviewed and utilized to construct singular limits between the systems. It is shown, by construction, that all superintegrable systems on conformally flat, 3D complex Riemannian manifolds can be obtained from singular limits of a generic system on the sphere. By using the invariant classification, the limits are geometrically motivated in terms of transformations of roots of the classifying polynomials.

  18. 15 CFR 921.3 - National Estuarine Research Reserve System biogeographic classification scheme and estuarine...

    Science.gov (United States)

    2010-01-01

    ... biogeographic classification scheme and estuarine typologies. (a) National Estuarine Research Reserves are... biogeographic classification scheme is used to ensure that the National Estuarine Research Reserve System... 15 Commerce and Foreign Trade 3 2010-01-01 2010-01-01 false National Estuarine Research...

  19. Improvements to the current classification of salary expenses in the accounting system of the enterprise

    Directory of Open Access Journals (Sweden)

    Fylypenko Anna

    2016-04-01

    Full Text Available The article considers the existing classification of salary expenses in Ukraine. The analysis of the classifications of such costs in management and accounting is carried out. The article suggests approaches for improvement in the cost-accounting system for the respective enterprise features, which greatly facilitates the management of salary expenses and allows the search of reserves to reduce them.

  20. Characterization of Neisseria gonorrhoeae reference strains used in development of serologic classification systems.

    OpenAIRE

    Evins, G. M.; Knapp, J S

    1988-01-01

    Certain strains of Neisseria gonorrhoeae have been used by numerous investigators to develop serologic classification systems. Some of these strains have been used by investigators to study gonococcal virulence. A reference consisting of strain classification by auxotype and serovar, a strain history, and a selected bibliography are provided cohesively.

  1. Using hydrogeomorphic criteria to classify wetlands on Mt. Desert Island, Maine - approach, classification system, and examples

    Science.gov (United States)

    Nielsen, Martha G.; Guntenspergen, Glenn R.; Neckles, Hilary A.

    2005-01-01

    A wetland classification system was designed for Mt. Desert Island, Maine, to help categorize the large number of wetlands (over 1,200 mapped units) as an aid to understanding their hydrologic functions. The classification system, developed by the U.S. Geological Survey (USGS), in cooperation with the National Park Service, uses a modified hydrogeomorphic (HGM) approach, and assigns categories based on position in the landscape, soils and surficial geologic setting, and source of water. A dichotomous key was developed to determine a preliminary HGM classification of wetlands on the island. This key is designed for use with USGS topographic maps and 1:24,000 geographic information system (GIS) coverages as an aid to the classification, but may also be used with field data. Hydrologic data collected from a wetland monitoring study were used to determine whether the preliminary classification of individual wetlands using the HGM approach yielded classes that were consistent with actual hydroperiod data. Preliminary HGM classifications of the 20 wetlands in the monitoring study were consistent with the field hydroperiod data. The modified HGM classification approach appears robust, although the method apparently works somewhat better with undisturbed wetlands than with disturbed wetlands. This wetland classification system could be applied to other hydrogeologically similar areas of northern New England.

  2. Large-Scale Analysis of the Accuracy of the Journal Classification Systems of Web of Science and Scopus

    OpenAIRE

    Wang, Qi; Waltman, Ludo

    2015-01-01

    Journal classification systems play an important role in bibliometric analyses. The two most important bibliographic databases, Web of Science and Scopus, each provide a journal classification system. However, no study has systematically investigated the accuracy of these classification systems. To examine and compare the accuracy of journal classification systems, we define two criteria on the basis of direct citation relations between journals and categories. We use Criterion I to select jo...

  3. 關於圖書分類法的修訂 Concerning the Revision of Classification System

    OpenAIRE

    Ho-chin Chen

    1999-01-01

    無For reviewing a classification scheme, we usually look in much detail at its traditional features such as detailed schedules, hospital notation, a supportive index and its adaptability. Yet another desirable feature, a good and financially secure revision programme, is a key point to the success of classification scheme. The author traces the history of revision processes of three successful classification systems (Dewey Decimal Classification, Library of Congress Classification and Universa...

  4. 關於圖書分類法的修訂 Concerning the Revision of Classification System

    Directory of Open Access Journals (Sweden)

    Ho-chin Chen

    1999-03-01

    Full Text Available 無For reviewing a classification scheme, we usually look in much detail at its traditional features such as detailed schedules, hospital notation, a supportive index and its adaptability. Yet another desirable feature, a good and financially secure revision programme, is a key point to the success of classification scheme. The author traces the history of revision processes of three successful classification systems (Dewey Decimal Classification, Library of Congress Classification and Universal Decimal Classification , and attempt to recommend the better revision mechanism for Lai's New Classification Scheme for Chinese Libraries ( 中國 圖書分類法in Taiwan

  5. Classification of nutrient emission sources in the Vistula River system

    International Nuclear Information System (INIS)

    Eutrophication of the Baltic sea still remains one of the biggest problems in the north-eastern area of Europe. Recognizing the sources of nutrient emission, classification of their importance and finding the way towards reduction of pollution are the most important tasks for scientists researching this area. This article presents the chemometric approach to the classification of nutrient emission with respect to the regionalisation of emission sources within the Vistula River basin (Poland). Modelled data for mean yearly emission of nitrogen and phosphorus in 1991-2000 has been used for the classification. Seventeen subcatchements in the Vistula basin have been classified according to cluster and factor analyses. The results of this analysis allowed determination of groups of areas with similar pollution characteristics and indicate the need for spatial differentiation of policies and strategies. Three major factors indicating urban, erosion and agricultural sources have been identified as major discriminants of the groups. - Two classification methods applied to evaluate the results of nutrient emission allow definition of major sources of the emissions and classification of catchments with similar pollution.

  6. CLASSIFICATION OF SYSTEMS FOR PASSIVE AFTERHEAT REMOVAL FROM REACTOR CONTAINMENT OF NUCLEAR POWER PLANT WITH WATER-COOLED POWER REACTOR

    Directory of Open Access Journals (Sweden)

    N. Khaled

    2014-09-01

    Full Text Available A classification on systems for passive afterheat removal from reactor containment has been developed in the paper.  The classification permits to make a detailed analysis of various concepts pertaining to systems for passive afterheat removal from reactor containment of new generation. The paper considers main classification features of the given systems.

  7. Classification of systems for passive afterheat removal from reactor containment of nuclear power plant with water-cooled power reactor

    OpenAIRE

    Khaled, N.; D. V. Shevelev; A. S. Balashevsky

    2014-01-01

    A classification on systems for passive afterheat removal from reactor containment has been developed in the paper.  The classification permits to make a detailed analysis of various concepts pertaining to systems for passive afterheat removal from reactor containment of new generation. The paper considers main classification features of the given systems.

  8. STANSORT - Stanford Remote Sensing Laboratory pattern recognition and classification system

    Science.gov (United States)

    Honey, F. R.; Prelat, A.; Lyon, R. J. P.

    1974-01-01

    The principal barrier to routine use of the ERTS multispectral scanner computer compatible tapes, rather than photointerpretation examination of the images, has been the high computing costs involved due to the large quantity of information (4 Mbytes) contained in a scene. STANSORT, the interactive program package developed at Stanford Remote Sensing Laboratories alleviates this problem, providing an extremely rapid, flexible and low cost tool for data reduction, scene classification, species searches and edge detection. The primary classification procedure, utilizing a search with variable gate widths, for similarities in the normalized, digitized spectra is described along with associated procedures for data refinement and extraction of information. The more rigorous statistical classification procedures are also explained.

  9. Medical diagnosis of cardiovascular diseases using an interval-valued fuzzy rule-based classification system

    OpenAIRE

    Sanz Delgado, José Antonio; Galar Idoate, Mikel; Jurío Munárriz, Aránzazu; Brugos Larumbe, Antonio; Pagola Barrio, Miguel; Bustince Sola, Humberto

    2013-01-01

    Objective: To develop a classifier that tackles the problem of determining the risk of a patient of suffering from a cardiovascular disease within the next ten years. The system has to provide both a diagnosis and an interpretable model explaining the decision. In this way, doctors are able to analyse the usefulness of the information given by the system. Methods: Linguistic fuzzy rule-based classification systems are used, since they provide a good classification rate and a highly interpreta...

  10. Injuries from Intimate Partner and Sexual Violence: Significance and Classification Systems

    OpenAIRE

    Sommers, Marilyn S.; Brunner, Lillian S.; Brown, Kathleen M.; Buschur, Carole; Everett, Janine S.; Fargo, Jamison D.; Fisher, Bonnie S.; Hinkle, Christina; Zink, Therese M

    2012-01-01

    While intimate partner violence (IPV) and sexual violence (SV) are highly associated with injury, the healthcare and legal significance of these injuries is controversial. Purpose: Herein we propose to explore the significance of injury in IPV and SV and examine the current status of injury classification systems from the perspectives of the healthcare and criminal justice systems. We will review current injury classification systems and suggest a typology of injury that could be tested empir...

  11. The evolution of classification systems: Ontogeny of the UDC

    CERN Document Server

    Salah, Almila Akdag; Suchecki, Krzysztof; Scharnhorst, Andrea; Smiraglia, Richard P

    2012-01-01

    To classify is to put things in meaningful groups, but the criteria for doing so can be problematic. Study of evolution of classification includes ontogenetic analysis of change in classification over time. We present an empirical analysis of the UDC over the entire period of its development. We demonstrate stability in main classes, with major change driven by 20th century scientific developments. But we also demonstrate a vast increase in the complexity of auxiliaries. This study illustrates an alternative to Tennis' "scheme-versioning" method.

  12. Classification Systems, their Digitization and Consequences for Data-Driven Decision Making

    DEFF Research Database (Denmark)

    Stein, Mari-Klara; Newell, Sue; Galliers, Robert D.;

    2013-01-01

    information systems. Based on a multi-site field study, we suggest that representational quality is achieved through four types of negotiations that human actors engage in when confronted with the materiality of a new IS. These negotiations are associated with three broad practices (instantiation, re......Classification systems are foundational in many standardized software tools. This digitization of classification systems gives them a new ‘materiality’ that, jointly with the social practices of information producers/consumers, has significant consequences on the representational quality of such......-narration and meta-narration), and three different information production/consumption situations. We contribute to the relational theorization of representational quality and extend classification systems research by drawing explicit attention to the importance of ‘materialization’ of classification systems and...

  13. On the Implementation of a Land Cover Classification System for SAR Images Using Khoros

    Science.gov (United States)

    Medina Revera, Edwin J.; Espinosa, Ramon Vasquez

    1997-01-01

    The Synthetic Aperture Radar (SAR) sensor is widely used to record data about the ground under all atmospheric conditions. The SAR acquired images have very good resolution which necessitates the development of a classification system that process the SAR images to extract useful information for different applications. In this work, a complete system for the land cover classification was designed and programmed using the Khoros, a data flow visual language environment, taking full advantages of the polymorphic data services that it provides. Image analysis was applied to SAR images to improve and automate the processes of recognition and classification of the different regions like mountains and lakes. Both unsupervised and supervised classification utilities were used. The unsupervised classification routines included the use of several Classification/Clustering algorithms like the K-means, ISO2, Weighted Minimum Distance, and the Localized Receptive Field (LRF) training/classifier. Different texture analysis approaches such as Invariant Moments, Fractal Dimension and Second Order statistics were implemented for supervised classification of the images. The results and conclusions for SAR image classification using the various unsupervised and supervised procedures are presented based on their accuracy and performance.

  14. Classification System for English Language Learners: Issues and Recommendations

    Science.gov (United States)

    Abedi, Jamal

    2008-01-01

    High-stakes decisions for the instruction and assessment of English language learner (ELL) students are made based on the premise that ELL classification is a valid dichotomy that distinguishes between those who are proficient in the use of the English language and those who are not. However, recent research findings draw a vague picture of the…

  15. Application of Interactive Classification System in University Study Course Comparison

    Science.gov (United States)

    Birzniece, Ilze; Rudzajs, Peteris; Kalibatiene, Diana; Vasilecas, Olegas; Rencis, Edgars

    2015-01-01

    The growing amount of information in the world has increased the need for computerized classification of different objects. This situation is present in higher education as well where the possibility of effortless detection of similarity between different study courses would give the opportunity to organize student exchange programmes effectively…

  16. Group classification of systems of non-linear reaction-diffusion equations with general diffusion matrix. II. Generalized Turing systems

    OpenAIRE

    Nikitin, A. G.

    2004-01-01

    Group classification of systems of two coupled nonlinear reaction-diffusion equation with a diagonal diffusion matrix is carried out. Symmetries of diffusion systems with singular diffusion matrix and additional first order derivative terms are described.

  17. R-parametrization and its role in classification of linear multivariable feedback systems

    Science.gov (United States)

    Chen, Robert T. N.

    1988-01-01

    A classification of all the compensators that stabilize a given general plant in a linear, time-invariant multi-input, multi-output feedback system is developed. This classification, along with the associated necessary and sufficient conditions for stability of the feedback system, is achieved through the introduction of a new parameterization, referred to as R-Parameterization, which is a dual of the familiar Q-Parameterization. The classification is made to the stability conditions of the compensators and the plant by themselves; and necessary and sufficient conditions are based on the stability of Q and R themselves.

  18. Methodological levels of abductive logic and its application in analyzing knowledge classification systems

    Directory of Open Access Journals (Sweden)

    Mohammad Khandan

    2015-05-01

    Originality/Value: Introduces methodological levels of abductive logic and provides LIS professionals with a new and alternative way for analyzing knowledge classification systems as interpretative and semantic social constructions.

  19. EULAR points to consider in the development of classification and diagnostic criteria in systemic vasculitis

    DEFF Research Database (Denmark)

    Basu, Neil; Watts, Richard; Bajema, Ingeborg;

    2010-01-01

    The systemic vasculitides are multiorgan diseases where early diagnosis and treatment can significantly improve outcomes. Robust nomenclature reduces diagnostic delay. However, key aspects of current nomenclature are widely perceived to be out of date, these include disease definitions, classific...

  20. An Expert System for Classifying Stars on the MK Spectral Classification System

    Science.gov (United States)

    Corbally, Christopher J.; Gray, R. O.

    2013-01-01

    We will describe an expert computer system designed to classify stellar spectra on the MK Spectral Classification system employing methods similar to those of humans who make direct comparison with the MK classification standards. Like an expert human classifier, MKCLASS first comes up with a rough spectral type, and then refines that type by direct comparison with MK standards drawn from a standards library using spectral criteria appropriate to the spectral class. Certain common spectral-type peculiarities can also be detected by the program. The program is also capable of identifying WD spectra and carbon stars and giving appropriate (but currently approximate) spectral types on the relevant systems. We will show comparisons between spectral types (including luminosity types) performed by MKCLASS and humans. The program currently is capable of competent classifications in the violet-green region, but plans are underway to extend the spectral criteria into the red and near-infrared regions. Two standard libraries with resolutions of 1.8 and 3.6Å are now available, but a higher-resolution standard library, using the new spectrograph on the Vatican Advanced Technology Telescope, is currently under preparation. Once that library is available, MKCLASS and the spectral libraries will be made available to the astronomical community.

  1. A Novel System for Non-Invasive Method of Animal Tracking and Classification in Designated Area Using Intelligent Camera System

    OpenAIRE

    S. Matuska; Hudec, R.; P. Kamencay; M. Benco; M. Radilova

    2016-01-01

    This paper proposed a novel system for non-invasive method of animal tracking and classification in designated area. The system is based on intelligent devices with cameras, which are situated in a designated area and a main computing unit (MCU) acting as a system master. Intelligent devices track animals and then send data to MCU to evaluation. The main purpose of this system is detection and classification of moving animals in a designated area and then creation of migration corridors of wi...

  2. Open source, web-based machine-learning assisted classification system

    OpenAIRE

    Consarnau Pallarés, Mireia Roser

    2016-01-01

    The aim of this article is to provide a design overview of the web based machine learning assisted multi-user classification system. The design is based on open source standards both for multi-user environment written in PHP using the Laravel framework and a Python based machine learning toolkit, Scikit-Learn. The advantage of the proposed system is that it does not require the domain specific knowledge or programming skills. Machine learning classification tasks are done on the background...

  3. Methodological levels of abductive logic and its application in analyzing knowledge classification systems

    OpenAIRE

    Mohammad Khandan; Gholamreza Fadaei; Mohammad Reza Vasfi

    2015-01-01

    Purpose: This paper distinguishes between “methodology” and “method” and discusses methodological levels of abductive logic as related to the knowledge classification systems. The purpose is to clarify the application of abductive logic for analyzing knowledge classification systems as an alternative for mainstream logics in the field, i.e. inductive and deductive logic. Methodology: Conceptual analysis. Findings: Abductive logic approaches reality as a social construction. It is obviou...

  4. A classification of large amplitude oscillations of a spring-pendulum system

    Science.gov (United States)

    Broucke, R.

    1977-01-01

    We present a detailed classification of large amplitude oscillations of a non-integrable autonomous system with two degrees of freedom: the spring pendulum system. The classification is made with the method of invariant curves. The results show the importance of three types of motion: periodic, quasi-periodic and semi-ergodic. The numerical results are given for nine different values of the energy constant.

  5. A Preliminary Study on the Multiple Mapping Structure of Classification Systems for Heterogeneous Databases

    OpenAIRE

    Seok-Hyoung Lee; Hwan-Min Kim; Ho-Seop Choe

    2012-01-01

    While science and technology information service portals and heterogeneous databases produced in Korea and other countries are integrated, methods of connecting the unique classification systems applied to each database have been studied. Results of technologists' research, such as, journal articles, patent specifications, and research reports, are organically related to each other. In this case, if the most basic and meaningful classification systems are not connected, it is difficult to ach...

  6. Reliability of the Multidimensional Pain Inventory and stability of the MPI classification system in chronic back pain

    NARCIS (Netherlands)

    Verra, M.L.; Angst, F.; Staal, J.B.; Brioschi, R.; Lehmann, S.; Aeschlimann, A.; Bie, R.A. de

    2012-01-01

    ABSTRACT: BACKGROUND: This cross validation study examined the reliability of the Multidimensional Pain Inventory (MPI) and the stability of the Multidimensional Pain Inventory Classification System of the empirically derived subgroup classification obtained by cluster analysis in chronic musculoske

  7. Necessity to adapt land use and land cover classification systems to readily accept radar data

    Science.gov (United States)

    Drake, B.

    1977-01-01

    A hierarchial, four level, standardized system for classifying land use/land cover primarily from remote-sensor data (USGS system) is described. The USGS system was developed for nonmicrowave imaging sensors such as camera systems and line scanners. The USGS system is not compatible with the land use/land cover classifications at different levels that can be made from radar imagery, and particularly from synthetic-aperture radar (SAR) imagery. The use of radar imagery for classifying land use/land cover at different levels is discussed, and a possible revision of the USGS system to more readily accept land use/land cover classifications from radar imagery is proposed.

  8. Natural fracture systems on planetary surfaces: Genetic classification and pattern randomness

    Science.gov (United States)

    Rossbacher, Lisa A.

    1987-01-01

    One method for classifying natural fracture systems is by fracture genesis. This approach involves the physics of the formation process, and it has been used most frequently in attempts to predict subsurface fractures and petroleum reservoir productivity. This classification system can also be applied to larger fracture systems on any planetary surface. One problem in applying this classification system to planetary surfaces is that it was developed for ralatively small-scale fractures that would influence porosity, particularly as observed in a core sample. Planetary studies also require consideration of large-scale fractures. Nevertheless, this system offers some valuable perspectives on fracture systems of any size.

  9. England's multiethnic educational system? A classification of secondary schools

    OpenAIRE

    Ron Johnston; Deborah Wilson; Simon Burgess

    2005-01-01

    As British society has become increasingly multiethnic and multicultural, debate has grown regarding the advantages and disadvantages of ethnically segregated schools, with regard both to educational achievement and to multicultural accommodation. Compared with issues regarding the class composition of schools, however, little work has been done on the degree of ethnic segregation in schools, let alone its impact. The authors use a recently developed classification procedure to identify the d...

  10. Pediatric patient classification system: improvement of an instrument

    OpenAIRE

    Ariane Polidoro Dini; Edinêis de Brito Guirardello

    2014-01-01

    Objective Improve the content validity of the instrument for classification of pediatric patients and evaluate its construct validity. Method A descriptive exploratory study in the measurement of the content validity index, and correlational design for construct validation through exploratory factor analysis. Results The content validity index for indicators was 0.99 and it was 0.97 for graded situations. Three domains were extracted in the construct validation, namely: patient, family an...

  11. New classification for single-system light treatment

    OpenAIRE

    Ohshiro, Toshio

    2011-01-01

    Background and Aims: Although the use of the laser in medical applications has increased dramatically during the last three decades, it is significant that during the last few years non-laser light sources have gained prominence in photomedicine and photosurgery, particularly the use of light-emitting diodes (LEDs) and intense pulsed light (IPL). The author therefore believed it was important to devise a new classification of light/tissue interactions, and that the well-accepted acronym LLLT ...

  12. IMAGE RECONSTRUCTION AND OBJECT CLASSIFICATION IN CT IMAGING SYSTEM

    Institute of Scientific and Technical Information of China (English)

    张晓明; 蒋大真; 等

    1995-01-01

    By obtaining a feasible filter function,reconstructed images can be got with linear interpolation and filtered backoprojection techniques.Considering the gray and spatial correlation neighbour informations of each pixel,a new supervised classification method is put forward for the reconstructed images,and an experiment with noise image is done,the result shows that the method is feasible and accurate compared with ideal phantoms.

  13. Accurate crop classification using hierarchical genetic fuzzy rule-based systems

    Science.gov (United States)

    Topaloglou, Charalampos A.; Mylonas, Stelios K.; Stavrakoudis, Dimitris G.; Mastorocostas, Paris A.; Theocharis, John B.

    2014-10-01

    This paper investigates the effectiveness of an advanced classification system for accurate crop classification using very high resolution (VHR) satellite imagery. Specifically, a recently proposed genetic fuzzy rule-based classification system (GFRBCS) is employed, namely, the Hierarchical Rule-based Linguistic Classifier (HiRLiC). HiRLiC's model comprises a small set of simple IF-THEN fuzzy rules, easily interpretable by humans. One of its most important attributes is that its learning algorithm requires minimum user interaction, since the most important learning parameters affecting the classification accuracy are determined by the learning algorithm automatically. HiRLiC is applied in a challenging crop classification task, using a SPOT5 satellite image over an intensively cultivated area in a lake-wetland ecosystem in northern Greece. A rich set of higher-order spectral and textural features is derived from the initial bands of the (pan-sharpened) image, resulting in an input space comprising 119 features. The experimental analysis proves that HiRLiC compares favorably to other interpretable classifiers of the literature, both in terms of structural complexity and classification accuracy. Its testing accuracy was very close to that obtained by complex state-of-the-art classification systems, such as the support vector machines (SVM) and random forest (RF) classifiers. Nevertheless, visual inspection of the derived classification maps shows that HiRLiC is characterized by higher generalization properties, providing more homogeneous classifications that the competitors. Moreover, the runtime requirements for producing the thematic map was orders of magnitude lower than the respective for the competitors.

  14. A Process for the Representation of openEHR ADL Archetypes in OWL Ontologies.

    Science.gov (United States)

    Porn, Alex Mateus; Peres, Leticia Mara; Didonet Del Fabro, Marcos

    2015-01-01

    ADL is a formal language to express archetypes, independent of standards or domain. However, its specification is not precise enough in relation to the specialization and semantic of archetypes, presenting difficulties in implementation and a few available tools. Archetypes may be implemented using other languages such as XML or OWL, increasing integration with Semantic Web tools. Exchanging and transforming data can be better implemented with semantics oriented models, for example using OWL which is a language to define and instantiate Web ontologies defined by W3C. OWL permits defining significant, detailed, precise and consistent distinctions among classes, properties and relations by the user, ensuring the consistency of knowledge than using ADL techniques. This paper presents a process of an openEHR ADL archetypes representation in OWL ontologies. This process consists of ADL archetypes conversion in OWL ontologies and validation of OWL resultant ontologies using the mutation test. PMID:26262167

  15. Dynamic classification system in large-scale supervision of energy efficiency in buildings

    International Nuclear Information System (INIS)

    Highlights: • Rough set approximation of classification improves energy efficiency prediction. • Dynamic features of diagnostic classification allow for its precise prediction. • Indiscernibility in large population enhances identification of process features. • Diagnostic information can be refined by dynamic references to local neighbourhood. • We introduce data exploration validation based on system dynamics and uncertainty. - Abstract: Data mining and knowledge discovery applied to the billing data provide the diagnostic instruments for the evaluation of energy use in buildings connected to a district heating network. To ensure the validity of an algorithm-based classification system, the dynamic properties of a sequence of partitions for consecutive detected events were investigated. The information regarding the dynamic properties of the classification system refers to the similarities between the supervised objects and migrations that originate from the changes in the building energy use and loss similarity to their neighbourhood and thus represents the refinement of knowledge. In this study, we demonstrate that algorithm-based diagnostic knowledge has dynamic properties that can be exploited with a rough set predictor to evaluate whether the implementation of classification for supervision of energy use aligns with the dynamics of changes of district heating-supplied building properties. Moreover, we demonstrate the refinement of the current knowledge with the previous findings and we present the creation of predictive diagnostic systems based on knowledge dynamics with a satisfactory level of classification errors, even for non-stationary data

  16. Inter- and intrareader variability in the interpretation of two radiographic classification systems for juvenile rheumatoid arthritis

    International Nuclear Information System (INIS)

    To evaluate the inter- and intrareader variability for interpretation of a modified Larsen's radiographic classification system for juvenile rheumatoid arthritis (JRA) focused on osteochondral lesions and a conventional Larsen's classification system, compared to a reference MR scoring system of corresponding images. Seventy-five radiographs of 60 children with JRA, performed within a short interval of time from the MR examinations, were independently evaluated by three experienced radiologists, three diagnostic imaging residents and three rheumatologists, in two separate sessions, according to the two different classification methods, blinded to the corresponding MR images. The inter- and intrareader concordance rates between the two radiographic classification systems and the MR-related radiographs were respectively poor and poor/moderate. The interobserver range of weighted kappa values for the conventional and the modified Larsen's system respectively was 0.25-0.37 vs 0.19-0.39 for radiologists, 0.25-0.37 vs 0.18-0.30 for residents and 0.19-0.51 vs 0.17-0.29 for rheumatologists. The intrareader rate ranged from 0.17-0.55 for radiologists, 0.2-0.56 for residents, and 0.14-0.59 for rheumatologists. Although the proposal of a new radiographic classification system for JRA focused on osteochondral abnormalities sounds promising, the low inter- and intrareader concordance rates with an MR-related radiographic system makes the clinical applicability of such a radiographic system less suitable. (orig.)

  17. Inter- and intrareader variability in the interpretation of two radiographic classification systems for juvenile rheumatoid arthritis

    Energy Technology Data Exchange (ETDEWEB)

    Doria, Andrea S.; Castro, Claudio C. de; Sernik, Renato A.; Vitule, Luis F.; Arantes, Paula R.; Lucato, Leandro; Germano, Marco A.N.; Cerri, Giovanni G. [Department of Diagnostic Imaging, Heart Institute (InCor) and Radiology Institute (InRad), Hospital das Clinicas da Universidade de Sao Paulo, Sao Paulo (Brazil); Kiss, Maria Helena B. [Division of Rheumatology, Children' s Institute, Hospital das Clinicas da Universidade de Sao Paulo, Sao Paulo (Brazil); Silva, Carlos H.M. [Division of Rheumatology, Department of Pediatrics, Faculdade de Medicina da Universidade Federal de Uberlandia MG, Uberlandia (Brazil); Zerbini, Cristiano A.F. [Division of Rheumatology, Hospital Heliopolis, Sao Paulo (Brazil)

    2003-10-01

    To evaluate the inter- and intrareader variability for interpretation of a modified Larsen's radiographic classification system for juvenile rheumatoid arthritis (JRA) focused on osteochondral lesions and a conventional Larsen's classification system, compared to a reference MR scoring system of corresponding images. Seventy-five radiographs of 60 children with JRA, performed within a short interval of time from the MR examinations, were independently evaluated by three experienced radiologists, three diagnostic imaging residents and three rheumatologists, in two separate sessions, according to the two different classification methods, blinded to the corresponding MR images. The inter- and intrareader concordance rates between the two radiographic classification systems and the MR-related radiographs were respectively poor and poor/moderate. The interobserver range of weighted kappa values for the conventional and the modified Larsen's system respectively was 0.25-0.37 vs 0.19-0.39 for radiologists, 0.25-0.37 vs 0.18-0.30 for residents and 0.19-0.51 vs 0.17-0.29 for rheumatologists. The intrareader rate ranged from 0.17-0.55 for radiologists, 0.2-0.56 for residents, and 0.14-0.59 for rheumatologists. Although the proposal of a new radiographic classification system for JRA focused on osteochondral abnormalities sounds promising, the low inter- and intrareader concordance rates with an MR-related radiographic system makes the clinical applicability of such a radiographic system less suitable. (orig.)

  18. APPROACHES TO THE CLASSIFICATION OF BRANDS OF PROFESSIONAL FOOTBALL CLUBS IN THE SYSTEM OF SPORTIVE MARKETING

    OpenAIRE

    Romat, E.; Ostroverh, S.

    2014-01-01

    This article was told about methods of classification of professional football clubs in the system of sportive marketing in the total commercial conditions of the most popular kind sport, football. Also was told about importance of brand in the professional football club as an active method of increasing trade value multi-functional enterprise in the sport area, which works on business model. The criterions where proposed and also was told about essence of the classification, which is used to...

  19. Analysis on Systematic Water Scarcity Based on Establishment of Water Scarcity Classification System

    Institute of Scientific and Technical Information of China (English)

    2011-01-01

    It would be very helpful for making countermeasures against complex water scarcity by analysis on systematic water scarcity.Based on the previous researches on water scarcity classification,a classification system of water scarcity was established according to contributing factors,which comprises three water scarcity categories caused by anthropic factors,natural factors and mixed factors respectively.Accordingly,the concept of systematic water scarcity was proposed,which can be defined as one type of water...

  20. Clinical Importance of The Lens Opacities Classification System III (LOCS III) in Phacoemulsification

    OpenAIRE

    Benčić, Goran; Zorić-Geber, Mia; Šarić, Dean; Čorak, Maja; Mandić, Zdravko

    2005-01-01

    The aim of this study was to compare the correlation of features of cataracts graded by the Lens Opacities Classification System, version III (LOCS III) with recorded operative characteristics during the phacoemulsification. The retrospective study included 245 cases operated on by a single surgeron from October 2003 to March 2004. The cataract was graded at the biomicroscope using the 4 grading scales of the lens opacities classification sistem, version III (LOCS III); nuclear op...