WorldWideScience

Sample records for image analysis competition

  1. BMC Ecology image competition: the winning images

    Science.gov (United States)

    2013-01-01

    BMC Ecology announces the winning entries in its inaugural Ecology Image Competition, open to anyone affiliated with a research institute. The competition, which received more than 200 entries from international researchers at all career levels and a wide variety of scientific disciplines, was looking for striking visual interpretations of ecological processes. In this Editorial, our academic Section Editors and guest judge Dr Yan Wong explain what they found most appealing about their chosen winning entries, and highlight a few of the outstanding images that didn’t quite make it to the top prize. PMID:23517630

  2. Handbook for the GREAT08 Challenge: An image analysis competition for cosmological lensing

    CERN Document Server

    Bridle, Sarah; Amara, Adam; Applegate, Douglas; Balan, Sreekumar T; Bernstein, Gary; Berge, Joel; Dahle, Hakon; Erben, Thomas; Gill, Mandeep; Heavens, Alan; Heymans, Catherine; High, Will; Hoekstra, Henk; Jarvis, Mike; Kitching, Thomas; Kneib, Jean-Paul; Kuijken, Konrad; Lagattuta, David; Mandelbaum, Rachel; Massey, Richard; Mellier, Yannick; Moghaddam, Baback; Moudden, Yassir; Nakajima, Reiko; Paulin-Henriksson, Stephane; Pires, Sandrine; Rassat, Anais; Refregier, Alexandre; Rhodes, Jason; Schrabback, Tim; Semboloni, Elisabetta; Shmakova, Marina; van Waerbeke, Ludovic; Voigt, Lisa; Wittman, David

    2008-01-01

    The GRavitational lEnsing Accuracy Testing 2008 (GREAT08) Challenge focuses on a problem that is of crucial importance for future observations in cosmology. The shapes of distant galaxies can be used to determine the properties of dark energy and the nature of gravity, because light from those galaxies is bent by gravity from the intervening dark matter. The observed galaxy images appear distorted, although only slightly, and their shapes must be precisely disentangled from the effects of pixelisation, convolution and noise. The worldwide gravitational lensing community has made significant progress in techniques to measure these distortions via the Shear TEsting Program (STEP). Via STEP, we have run challenges within our own community, and come to recognise that this particular image analysis problem is ideally matched to experts in statistical inference, inverse problems and computational learning. Thus, in order to continue the progress seen in recent years, we are seeking an infusion of new ideas from the...

  3. COMPETITIVE INTELLIGENCE ANALYSIS - SCENARIOS METHOD

    Directory of Open Access Journals (Sweden)

    Ivan Valeriu

    2014-07-01

    Full Text Available Keeping a company in the top performing players in the relevant market depends not only on its ability to develop continually, sustainably and balanced, to the standards set by the customer and competition, but also on the ability to protect its strategic information and to know in advance the strategic information of the competition. In addition, given that economic markets, regardless of their profile, enable interconnection not only among domestic companies, but also between domestic companies and foreign companies, the issue of economic competition moves from the national economies to the field of interest of regional and international economic organizations. The stakes for each economic player is to keep ahead of the competition and to be always prepared to face market challenges. Therefore, it needs to know as early as possible, how to react to others’ strategy in terms of research, production and sales. If a competitor is planning to produce more and cheaper, then it must be prepared to counteract quickly this movement. Competitive intelligence helps to evaluate the capabilities of competitors in the market, legally and ethically, and to develop response strategies. One of the main goals of the competitive intelligence is to acknowledge the role of early warning and prevention of surprises that could have a major impact on the market share, reputation, turnover and profitability in the medium and long term of a company. This paper presents some aspects of competitive intelligence, mainly in terms of information analysis and intelligence generation. Presentation is theoretical and addresses a structured method of information analysis - scenarios method – in a version that combines several types of analysis in order to reveal some interconnecting aspects of the factors governing the activity of a company.

  4. Corporate communications impact on corporate image and corporate competitiveness

    OpenAIRE

    Valentina Pirić

    2008-01-01

    The subject of this paper is an analysis of the impact of corporate communications and of the intensity of their application on a company’s image management, and an emphasis of the role that a company’s image plays as one of the fundamental sources of its competitiveness in contemporary market conditions. Through review and analysis of theoretical contributions, the paper shows how corporate communications integrate management, organization and the marketing communication dimension at the lev...

  5. BMC Ecology Image Competition 2015: the winning images.

    Science.gov (United States)

    Potenski, Catherine J; Porzecanski, Ana Luz; Baguette, Michel; Clobert, Jean; Hughes, David; Settele, Josef

    2015-07-29

    For the third time, BMC Ecology is delighted to announce the winners of our Image Competition. This year featured entries from all over the world and showcased not only the creativity and talent of the participants, but also the exquisite beauty and diversity of our planet. We are pleased to present the winning selections of the editorial board of the journal and guest judge Dr. Ana Luz Porzecanski, as well as some highly commended images that are sure to impress.

  6. The First Olympus Confocal Micro Imaging Competition China Award Ceremony

    Institute of Scientific and Technical Information of China (English)

    2010-01-01

    On January 20, 2010, the award ceremony for the First Olympus Confocal Micro Imaging Competition China was held in Beijing. After rounds of judging and competition, 16 photos finally won the prize.The First Olympus Confocal MicroImaging Competition China Award Ceremony was organized by Sciencenet.cn

  7. BMC Ecology image competition 2014: the winning images

    Science.gov (United States)

    2014-01-01

    BMC Ecology showcases the winning entries from its second Ecology Image Competition. More than 300 individual images were submitted from an international array of research scientists, depicting life on every continent on earth. The journal’s Editorial Board and guest judge Caspar Henderson outline why their winning selections demonstrated high levels of technical skill and aesthetic sense in depicting the science of ecology, and we also highlight a small selection of highly commended images that we simply couldn’t let you miss out on. PMID:25178017

  8. BMC Ecology image competition 2014: the winning images.

    Science.gov (United States)

    Harold, Simon; Henderson, Caspar; Baguette, Michel; Bonsall, Michael B; Hughes, David; Settele, Josef

    2014-08-29

    BMC Ecology showcases the winning entries from its second Ecology Image Competition. More than 300 individual images were submitted from an international array of research scientists, depicting life on every continent on earth. The journal's Editorial Board and guest judge Caspar Henderson outline why their winning selections demonstrated high levels of technical skill and aesthetic sense in depicting the science of ecology, and we also highlight a small selection of highly commended images that we simply couldn't let you miss out on.

  9. Model Selection in Data Analysis Competitions

    DEFF Research Database (Denmark)

    Wind, David Kofoed; Winther, Ole

    2014-01-01

    The use of data analysis competitions for selecting the most appropriate model for a problem is a recent innovation in the field of predictive machine learning. Two of the most well-known examples of this trend was the Netflix Competition and recently the competitions hosted on the online platform...... Kaggle. In this paper, we will state and try to verify a set of qualitative hypotheses about predictive modelling, both in general and in the scope of data analysis competitions. To verify our hypotheses we will look at previous competitions and their outcomes, use qualitative interviews with top...

  10. Image segmentation based on competitive learning

    Institute of Scientific and Technical Information of China (English)

    ZHANG Jing; LIU Qun; Baikunth Nath

    2004-01-01

    Image segment is a primary step in image analysis of unexploded ordnance (UXO) detection by ground p enetrating radar (GPR) sensor which is accompanied with a lot of noises and other elements that affect the recognition of real target size. In this paper we bring forward a new theory, that is, we look the weight sets as target vector sets which is the new cues in semi-automatic segmentation to form the final image segmentation. The experiment results show that the measure size of target with our method is much smaller than the size with other methods and close to the real size of target.

  11. Statistical analysis of tourism destination competitiveness

    Directory of Open Access Journals (Sweden)

    Attilio Gardini

    2013-05-01

    Full Text Available The growing relevance of tourism industry for modern advanced economies has increased the interest among researchers and policy makers in the statistical analysis of destination competitiveness. In this paper we outline a new model of destination competitiveness based on sound theoretical grounds and we develop a statistical test of the model on sample data based on Italian tourist destination decisions and choices. Our model focuses on the tourism decision process which starts from the demand schedule for holidays and ends with the choice of a specific holiday destination. The demand schedule is a function of individual preferences and of destination positioning, while the final decision is a function of the initial demand schedule and the information concerning services for accommodation and recreation in the selected destinations. Moreover, we extend previous studies that focused on image or attributes (such as climate and scenery by paying more attention to the services for accommodation and recreation in the holiday destinations. We test the proposed model using empirical data collected from a sample of 1.200 Italian tourists interviewed in 2007 (October - December. Data analysis shows that the selection probability for the destination included in the consideration set is not proportional to the share of inclusion because the share of inclusion is determined by the brand image, while the selection of the effective holiday destination is influenced by the real supply conditions. The analysis of Italian tourists preferences underline the existence of a latent demand for foreign holidays which points out a risk of market share reduction for Italian tourism system in the global market. We also find a snow ball effect which helps the most popular destinations, mainly in the northern Italian regions.

  12. MICROECONOMIC ANALYSIS IN COMPETITION POLICY

    Directory of Open Access Journals (Sweden)

    Paul Prisecaru

    2013-11-01

    Full Text Available This paper presents some of the most important microeconomic tools used in assessing antitrust and merger cases by the competition authorities. By explaining the way that microeconomic concepts like “market power”, “critical loss” or “price elasticity of demand” are used by the modern competition policy, the microeconomics scholar can get a practical perspective on the way that these concepts fit into the more general concept of “competition policy”. Extensive economic research has shown what are the market forces and economic factors that determine how cartels, which are at the core of antitrust policy, are established and sustained over time. One of the most important of these factors is the markets exposure to innovation, especially disruptive innovation. In these markets, the paradox, from a competition policy perspective, can be considered the fact that collusion is one of the least important concerns, due to the specific elements that determine the nature of competition.Instead, the main anticompetitive risk in the markets exposed to intensive innovation is unilateral conduct by which dominant incumbents can exclude competitors.

  13. Disciplinary competitiveness analysis in international stomatology education.

    Science.gov (United States)

    Wen, Ping; Hong, Xiao; Zhu, Lu; Zhang, Linglin; Gu, Xuekui; Gao, Zhihua; Chen, Qianming

    2013-11-01

    With economic and cultural globalization, the trend of globalization of higher education becomes inevitable. Using the concept of competitiveness, the authors established a principal component analysis (PCA) model to examine disciplinary competitiveness in stomatology of various higher education institutions worldwide. A total of forty-four universities entered the final list according to these calculations. Possible reasons for their selection were explored and explained at macro and micro levels. The authors further accessed various sources of data and summarized several suggestions for enhancing disciplinary competitiveness for other universities in pursuit of promoting their position in the global spectrum.

  14. Image Analysis

    DEFF Research Database (Denmark)

    The 19th Scandinavian Conference on Image Analysis was held at the IT University of Copenhagen in Denmark during June 15-17, 2015. The SCIA conference series has been an ongoing biannual event for more than 30 years and over the years it has nurtured a world-class regional research and development....... The topics of the accepted papers range from novel applications of vision systems, pattern recognition, machine learning, feature extraction, segmentation, 3D vision, to medical and biomedical image analysis. The papers originate from all the Scandinavian countries and several other European countries...

  15. RECENT ADVANCES IN TERRITORIAL COMPETITION AND COMPETITIVENESS ANALYSIS

    Directory of Open Access Journals (Sweden)

    Daniela-Luminita Constantin

    2006-10-01

    Full Text Available This paper addresses the question of territorial competitiveness – at national and regional level – from the perspective of the most important research undertaken in the international arena in order to build-up competitiveness indicators able to reveal the complexity and dynamics of this phenomenon in the contemporary society. A special emphasis is put on studies developed by prestigious organisations and research centres such as World Economic Forum, International Institute for Management Development, Cambridge Econometrics, ECORYS-NEI and so on.

  16. Competitive destination analysis in Southern European countries

    OpenAIRE

    Águas, Paulo; Veiga, Célia; Reis, Helena

    2010-01-01

    Purpose – The purpose of this paper is to analyse the competitiveness of the European Union Member States of Southern Europe (France, Greece, Italy, Portugal and Spain) as tourist destinations for European Union Member States of Central and Northern Europe (Austria, Belgium, Denmark, Finland, Germany, The Netherlands, Ireland, Sweden and the UK). Design/methodology/approach – Application of the market share analysis tool, initially developed by Faulkner, using secondary data from Eurosta...

  17. The Analysis Of Political Marketing Mix In Influencing Image And Reputation Of Political Party And Their Impact Toward The Competitiveness Of Political Party The Survey Of Voters In West Java Province

    Directory of Open Access Journals (Sweden)

    Dedeh Maryani

    2015-08-01

    Full Text Available Abstract Recently in Indonesia public trust toward political parties has been decreasing. Most voters tend to be neutral they had better to choose to none. The Experts argued that political competitivness will be high when political parties apply the accurate marketing mix or enhance their image and reputation. The aim of this research is to show how far political marketing mix in influencing the image or the reputation of political party and their impact toward the competitivness of 10 political parties conducted in Province West Java. I use quantitative method with explanatory survey method design. The population in this research is all voters in West Java while the samples are about 400 persons with cluster random sampling. Data analysis in this research is descriptive with Parsial Least Square PLS hypothesis test. PLS describes political marketing mix toward the image and the reputation of political party and their impact toward the competitivness of political party. The result shows that independent variable X political marketing mix gives a positive and significant influence to intervening variables Y1 and Y2 the image and the reputation of political party and dependent variable Y3 political party competitivness their impact to the variable depend on it. The finding in this study is that marketing mix has high influence toward the competitiveness of political party by enhancing the image and the reputation of political party.

  18. Human Sperm Competition: A Comparative Evolutionary Analysis

    Directory of Open Access Journals (Sweden)

    Michael N. Pham

    2014-08-01

    Full Text Available Sperm competition occurs when a female copulates with two or more males within a sufficiently brief time period, resulting in sperm of the different males competing to fertilize ova. Sperm competition has been documented or inferred to occur across several species. We address the evidence for sperm competition in humans by reviewing literature indicating apparently convergent adaptations to sperm competition in humans and non-humans. We discuss future research directions, and conclude that the evidence for anatomical, biological, physiological, and behavioral adaptations to human sperm competition provides compelling evidence that sperm competition has been a recurrent feature of human evolutionary history.

  19. Time motion analysis of international kickboxing competition.

    Science.gov (United States)

    Ouergui, Ibrahim; Hssin, Nizar; Haddad, Monoem; Franchini, Emerson; Behm, David; Wong, Del P; Gmada, Nabil; Bouhlel, Ezzedine

    2014-06-17

    The objective of the study was to analyze the time structure of high-level kickboxing matches. A total of 45 combats from two male World Championships were monitored using a time motion analysis system. The combat time structure (i.e., high-intensity activity: HIA; low-intensity activity: LIA; and referee breaks or pauses) during competition and weight divisions was determined and compared. Results indicated that the time structures were HIA: 2.2± 1.2 s; LIA: 2.3± 0.8 s; pauses: 5.4± 4.3 s; and 3.4±1.2 s between two subsequent HIA. The fighting to non-fighting ratio was found to be 1:1. Moreover, the number of HIA and LIA and the time of LIA decreased in latter rounds (e.g., the average number of HIA were 27.1±7.1, 25.1±6.6 and 24.9±6.1 respectively for round1, 2 and 3), meanwhile the time and number of pauses increased (e.g., the average pause times were 12.8±11.4, 22.3±22.6 and 24.6±23.3s respectively for round1, 2 and 3). The activity times did not differ among weight categories. The present results confirm the intermittent nature of kickboxing competition and provide coaches with more information on how to structure training sessions to mimic the physical demands in competition.

  20. Competition

    NARCIS (Netherlands)

    Boone, J.

    2000-01-01

    Competition has been modelled in the literature in a number of ways.What do these different parametrizations of competition have in common?For instance, it turns out that it is not always the case that a rise in competition reduces price cost margins, industry wide profits or concentration.All param

  1. Spinal imaging and image analysis

    CERN Document Server

    Yao, Jianhua

    2015-01-01

    This book is instrumental to building a bridge between scientists and clinicians in the field of spine imaging by introducing state-of-the-art computational methods in the context of clinical applications.  Spine imaging via computed tomography, magnetic resonance imaging, and other radiologic imaging modalities, is essential for noninvasively visualizing and assessing spinal pathology. Computational methods support and enhance the physician’s ability to utilize these imaging techniques for diagnosis, non-invasive treatment, and intervention in clinical practice. Chapters cover a broad range of topics encompassing radiological imaging modalities, clinical imaging applications for common spine diseases, image processing, computer-aided diagnosis, quantitative analysis, data reconstruction and visualization, statistical modeling, image-guided spine intervention, and robotic surgery. This volume serves a broad audience as  contributions were written by both clinicians and researchers, which reflects the inte...

  2. Engineering Analysis in the Chem-E-Car Competition

    Science.gov (United States)

    Lewis, Randy S.; Moshfeghian, Aliakbar; Madihally, Sundararajan V.

    2006-01-01

    The AIChE Chem-E-Car competition provides students an opportunity to demonstrate their design and teamwork skills. Engineering analysis is not required at the national competition and is often not applied. This work describes an engineering analysis of a Chem-E-Car to predict the distance traveled by the car. Engineering analysis is advantageous…

  3. Competition.

    Science.gov (United States)

    Chambers, D W

    1997-01-01

    Our ambivalence toward competition can be traced to an unspoken preference for certain types of competition which give us an advantage over the types we value less. Four types are defined (a) pure (same rules, same objectives), (b) collaborative (same rules, shared objective), (c) market share (different rules, same objectives), and (d) market growth (different rules, value added orientation). The defining characteristics of the four types of competition are respectively: needing a referee, arguing over the spoils, differentiation and substitutability, and customer focus. Dentistry has features of all four types of competition, thus making it difficult to have a meaningful discussion or frame a coherent policy on this topic.

  4. Retinal imaging and image analysis

    NARCIS (Netherlands)

    Abramoff, M.D.; Garvin, Mona K.; Sonka, Milan

    2010-01-01

    Many important eye diseases as well as systemic diseases manifest themselves in the retina. While a number of other anatomical structures contribute to the process of vision, this review focuses on retinal imaging and image analysis. Following a brief overview of the most prevalent causes of blindne

  5. Competition

    NARCIS (Netherlands)

    F. Bridoux

    2014-01-01

    Competition traditionally refers to the actions that firms take in a product market to outperform rivals in attracting customers and generating revenues. Yet, competition extends beyond product markets to other arenas such as factor markets, where firms compete for resources, and the political arena

  6. Analysis on Competitiveness of China's Refineries

    Institute of Scientific and Technical Information of China (English)

    Sun Yuguo

    2005-01-01

    The paper reviewed the refining and marketing business of both domestic and international oil companies, and tried to figure out the gap of domestic refining enterprises in terms of the refinery scale,processing unit configuration, stream factor and competitive edge as compared to overseas refineries. The paper also concluded that the net margin of domestic refineries is about $1.0/bbl lower than that of the overseas refineries, and proposed some ideas to sharpen the competitive edge of Chinese refining industry.

  7. Competition

    Institute of Scientific and Technical Information of China (English)

    吕思思

    2007-01-01

    <正> The term competition reminds me of asoul-stirring fight between a mother monkeyand a crocodile,The crocodile caught her babywhen the baby was drinking water in a pool,Inthe end,the mother got her baby,but herbaby’s body only,She lost her child forever,just for a mouthful of water.Such is competition,cruel and merciless,But if we see the other side of the coin,we’ll

  8. AN ECONOMIC ANALYSIS ON THE DEGREE OF MARKET CONCENTRATION: COMPETITION INDICATORS

    OpenAIRE

    MIHAIL BUªU

    2012-01-01

    The activity of competition authorities often involves the necessity of analyzing the relevant market. A starting point of such an analysis should be the assessment of market concentration’s degree. Together with other information held by the competition authority, the degree of market concentration creates an overall image of the market. The economic theory indicates a direct connection between the degree of market concentration and companies’ performance on the market. Moreover, the competi...

  9. Color Medical Image Analysis

    CERN Document Server

    Schaefer, Gerald

    2013-01-01

    Since the early 20th century, medical imaging has been dominated by monochrome imaging modalities such as x-ray, computed tomography, ultrasound, and magnetic resonance imaging. As a result, color information has been overlooked in medical image analysis applications. Recently, various medical imaging modalities that involve color information have been introduced. These include cervicography, dermoscopy, fundus photography, gastrointestinal endoscopy, microscopy, and wound photography. However, in comparison to monochrome images, the analysis of color images is a relatively unexplored area. The multivariate nature of color image data presents new challenges for researchers and practitioners as the numerous methods developed for monochrome images are often not directly applicable to multichannel images. The goal of this volume is to summarize the state-of-the-art in the utilization of color information in medical image analysis.

  10. Comparative Analysis of Competitive Strategy Implementation

    OpenAIRE

    Maina A. S. Waweru

    2011-01-01

    This paper presents research findings on Competitive Strategy Implementation which compared the levels of strategy implementation achieved by different generic strategy groups, comprising firms inclined towards low cost leadership, differentiation or dual strategic advantage. The study sought to determine the preferences for use of implementation armaments and compared how such armaments related to the level of implementation achieved. Respondents comprised 71 top executives from 59 companies...

  11. Competition

    CERN Multimedia

    Staff Association

    2017-01-01

    Get ready for the Easter Egg Hunt! The Staff Association is organising a competition from 10 to 21 April 2017. There are several Go Sport gift vouchers to win, with a value of 50 € each. Try your luck! Count the number of different eggs that we have hidden on our website. Then indicate your answer in the online form. To participate, you just need to be a member of the Staff Association. Winners will be randomly drawn among the correct answers.

  12. Competition

    CERN Multimedia

    Staff Association

    2016-01-01

      The Staff Association is organising a competition from 13 to 21 December 2016. There are several Go Sport vouchers to win with a value of 50 € each. Try your luck! To participate, you just have to be a member of the Staff Association and take the online quiz: https://ap-vote.web.cern.ch/content/jeu-concours-de-noel. The winners will be drawn among the correct answers.

  13. Competition

    CERN Multimedia

    Staff Association

    2016-01-01

      The Staff Association is organising a competition from April 11 to 20. There are several Go Sport gift vouchers with a value of 50 € each to win. Try your luck! To participate, you just have to be a member of the Staff Association and take the online quiz: https://ap-vote.web.cern.ch/content/jeu-concours. The winners will be drawn among the correct answers.

  14. Morphological image analysis

    NARCIS (Netherlands)

    Michielsen, K.; Raedt, H. De; Kawakatsu, T.

    2000-01-01

    We describe a morphological image analysis method to characterize images in terms of geometry and topology. We present a method to compute the morphological properties of the objects building up the image and apply the method to triply periodic minimal surfaces and to images taken from polymer chemi

  15. Morphological image analysis

    NARCIS (Netherlands)

    Michielsen, K; De Raedt, H; Kawakatsu, T; Landau, DP; Lewis, SP; Schuttler, HB

    2001-01-01

    We describe a morphological image analysis method to characterize images in terms of geometry and topology. We present a method to compute the morphological properties of the objects building up the image and apply the method to triply periodic minimal surfaces and to images taken from polymer chemi

  16. Analysis of pre-competitive and competitive anxiety in youth judoka

    Directory of Open Access Journals (Sweden)

    Giovanna Carla Interdonato

    2013-12-01

    Full Text Available Aim: The present study aimed to verify levels of trait anxiety in juvenile judo athletes (between 14 and 18 yrs. in pre-competitive and competitive moments.Method: Therefore, 40 athletes (20 boys and 20 girls with 5 ± 2 yrs. of judo practice were analyzed. The instrument used was the "Sport Competition Anxiety Test” (SCAT. In statistical analysis, we observed differences with Friedman and Mann-Whitney tests, p ≤ 0.05. The Spearman correlation coefficient was used to identify the relationship between variables.Results: Results demonstrated that males and females presented higher anxiety in championship, when compared with the training period. When compared gender in interaction with the moment, the competitive female group demonstrated higher anxiety than other groups. A significant and negatives correlations between anxiety, during championship and pre-competitive moments, and judo practice time were found.Conclusions: These data suggest preparatory work during the championship day should be different for male and female athletes, while female athletes have to control anxiety, in the male group other aspects could be analyzed/considered in the preparation of the athlete.

  17. Competitive Analysis for Online Leasing Problem with Compound Interest Rate

    Directory of Open Access Journals (Sweden)

    Xingyu Yang

    2011-01-01

    Full Text Available We introduce the compound interest rate into the continuous version of the online leasing problem and discuss the generalized model by competitive analysis. On the one hand, the optimal deterministic strategy and its competitive ratio are obtained; on the other hand, a nearly optimal randomized strategy is constructed and a lower bound for the randomized competitive ratios is proved by Yao's principle. With the help of numerical examples, the theoretical results show that the interest rate puts off the purchase date and diminishes the uncertainty involved in the decision making.

  18. Project X: competitive intelligence data mining and analysis

    Science.gov (United States)

    Gilmore, John F.; Pagels, Michael A.; Palk, Justin

    2001-03-01

    Competitive Intelligence (CI) is a systematic and ethical program for gathering and analyzing information about your competitors' activities and general business trends to further your own company's goals. CI allows companies to gather extensive information on their competitors and to analyze what the competition is doing in order to maintain or gain a competitive edge. In commercial business this potentially translates into millions of dollars in annual savings or losses. The Internet provides an overwhelming portal of information for CI analysis. The problem is how a company can automate the translation of voluminous information into valuable and actionable knowledge. This paper describes Project X, an agent-based data mining system specifically developed for extracting and analyzing competitive information from the Internet. Project X gathers CI information from a variety of sources including online newspapers, corporate websites, industry sector reporting sites, speech archiving sites, video news casts, stock news sites, weather sites, and rumor sites. It uses individual industry specific (e.g., pharmaceutical, financial, aerospace, etc.) commercial sector ontologies to form the knowledge filtering and discovery structures/content required to filter and identify valuable competitive knowledge. Project X is described in detail and an example competitive intelligence case is shown demonstrating the system's performance and utility for business intelligence.

  19. The Knowledge Competitiveness of Macedonian Economy – Comparative Analysis

    Directory of Open Access Journals (Sweden)

    Eftimoski Dimitar

    2012-09-01

    Full Text Available When a firm or economy realizes a competitive advantage, actually it possesses something which others lack, and does something which others cannot do, or do not know how to do it. Firms’ competitiveness, mostly, stems from knowledge and competency. Basically, it is the accumulation of capital in the form of knowledge, in most of the firms’ constitutive systems. Competitivenessdetermines the productivity level of an economy, whereas the productivity level determines the sustainable prosperity level of an economy. The knowledge economy offers virtually unlimited resources, as human capacity to create is boundless. Taking into consideration the abovementioned facts, the aim of this paper is to provide responses to the following questions: Why should contemporary firms and economies invest in new knowledge? What is the knowledge competitiveness level of the Macedonian firms and economy? What is the knowledge competitiveness of the Macedonian economy in comparisonwith the knowledge competitiveness of innovation-driven economies and the remaining efficiency-driven economies? In order to obtain the answers to these questions, we will make use of some theoretical experiences, supported by a comparative empirical analysis which, in essence, is based on the composite indicators - Knowledge Index and Global Competitiveness Index.

  20. Time-motion analysis of elite male kickboxing competition

    OpenAIRE

    Ouergui, Ibrahim; Hssin, Nizar; Haddad, Monoem; Franchini, Emerson; BEHM, David G; Wong, Del P; Gmada, Nabil; Bouhlel, Ezzedine

    2014-01-01

    Time-motion analysis of elite male kickboxing competition. J Strength Cond Res 28(12): 3537–3543, 2014—The objective of the study was to analyze the time structure of high-level kickboxing matches. A total of 45 combats from 2 male World Championships were monitored using a time-motion analysis system. The combat time structure (i.e., high-intensity activity [HIA], low-intensity activity [LIA], and referee breaks or pauses) during competition and weight divisions was determined and compared. ...

  1. Time-motion analysis of elite male kickboxing competition

    OpenAIRE

    Ouergui, Ibrahim; Hssin, Nizar; Haddad, Monoem; Franchini, Emerson; David G. Behm; Wong, Del P.; Gmada, Nabil; Bouhlel, Ezzedine

    2014-01-01

    Time-motion analysis of elite male kickboxing competition. J Strength Cond Res 28(12): 3537–3543, 2014—The objective of the study was to analyze the time structure of high-level kickboxing matches. A total of 45 combats from 2 male World Championships were monitored using a time-motion analysis system. The combat time structure (i.e., high-intensity activity [HIA], low-intensity activity [LIA], and referee breaks or pauses) during competition and weight divisions was determined and compared. ...

  2. Competition in the German pharmacy market: an empirical analysis.

    Science.gov (United States)

    Heinsohn, Jörg G; Flessa, Steffen

    2013-10-10

    Pharmaceutical products are an important component of expenditure on public health insurance in the Federal Republic of Germany. For years, German policy makers have regulated public pharmacies in order to limit the increase in costs. One reform has followed another, main objective being to increase competition in the pharmacy market. It is generally assumed that an increase in competition would reduce healthcare costs. However, there is a lack of empirical proof of a stronger orientation of German public pharmacies towards competition thus far. This paper analyses the self-perceptions of owners of German public pharmacies and their orientation towards competition in the pharmacy markets. It is based on a cross-sectional survey (N = 289) and distinguishes between successful and less successful pharmacies, the location of the pharmacies (e.g. West German States and East German States) and the gender of the pharmacy owner. The data are analysed descriptively by survey items and employing bivariate and structural equation modelling. The analysis reveals that the majority of owners of public pharmacies in Germany do not currently perceive very strong competitive pressure in the market. However, the innovativeness of the pharmacist is confirmed as most relevant for net revenue development and the profit margin. Some differences occur between regions, e.g. public pharmacies in West Germany have a significantly higher profit margin. This study provides evidence that the German healthcare reforms aimed at increasing the competition between public pharmacies in Germany have not been completely successful. Many owners of public pharmacies disregard instruments of active customer-orientated management (such as customer loyalty or an offensive position and economies of scale), which could give them a competitive advantage. However, it is clear that those pharmacists who strive for systematic and innovative management and adopt an offensive and competitive stance are quite

  3. Competition in the German pharmacy market: an empirical analysis

    Science.gov (United States)

    2013-01-01

    Background Pharmaceutical products are an important component of expenditure on public health insurance in the Federal Republic of Germany. For years, German policy makers have regulated public pharmacies in order to limit the increase in costs. One reform has followed another, main objective being to increase competition in the pharmacy market. It is generally assumed that an increase in competition would reduce healthcare costs. However, there is a lack of empirical proof of a stronger orientation of German public pharmacies towards competition thus far. Methods This paper analyses the self-perceptions of owners of German public pharmacies and their orientation towards competition in the pharmacy markets. It is based on a cross-sectional survey (N = 289) and distinguishes between successful and less successful pharmacies, the location of the pharmacies (e.g. West German States and East German States) and the gender of the pharmacy owner. The data are analysed descriptively by survey items and employing bivariate and structural equation modelling. Results The analysis reveals that the majority of owners of public pharmacies in Germany do not currently perceive very strong competitive pressure in the market. However, the innovativeness of the pharmacist is confirmed as most relevant for net revenue development and the profit margin. Some differences occur between regions, e.g. public pharmacies in West Germany have a significantly higher profit margin. Conclusions This study provides evidence that the German healthcare reforms aimed at increasing the competition between public pharmacies in Germany have not been completely successful. Many owners of public pharmacies disregard instruments of active customer-orientated management (such as customer loyalty or an offensive position and economies of scale), which could give them a competitive advantage. However, it is clear that those pharmacists who strive for systematic and innovative management and adopt an

  4. Evaluation and Analysis on the Competitiveness of Guangxi Distinctive Agriculture

    Institute of Scientific and Technical Information of China (English)

    2011-01-01

    On the basis of the developmental status of Guangxi distinctive agriculture,the key selection of developing Guangxi distinctive agriculture is analyzed.Its distinctive agriculture contains distinctive plantation,distinctive forestry and distinctive breeding.Based on the analysis,two display indices,domestic comparative advantages index and domestic competitiveness,are selected to analyze the competitiveness of Guangxi distinctive agriculture.The results show that at present the overall competitiveness of Guangxi distinctive agriculture is strong,but its competitiveness is reflected on resource advantages and most of the resources are primary agro-products.Accordingly,in the future,Guangxi distinctive agriculture should adopt non-equilibrium developmental strategy;take the great-leap-forward developmental path;apply modern production elements to increase the competitiveness of Guangxi distinctive agriculture.It should lay stress on "three innovation",which includes organization innovation,developing distinctive agricultural firms ;technology innovation,enlarging the scope and scale of agricultural listed companies;financial fund-raising innovation,transforming traditional distinctive agriculture by using high and new technology.

  5. Gabor Analysis for Imaging

    DEFF Research Database (Denmark)

    Christensen, Ole; Feichtinger, Hans G.; Paukner, Stephan

    2015-01-01

    , it characterizes a function by its transform over phase space, which is the time–frequency plane (TF-plane) in a musical context or the location–wave-number domain in the context of image processing. Since the transition from the signal domain to the phase space domain introduces an enormous amount of data...... of the generalities relevant for an understanding of Gabor analysis of functions on Rd. We pay special attention to the case d = 2, which is the most important case for image processing and image analysis applications. The chapter is organized as follows. Section 2 presents central tools from functional analysis......, the application of Gabor expansions to image representation is considered in Sect. 6....

  6. Tourism Competitiveness Index – An Empirical Analysis Romania vs. Bulgaria

    Directory of Open Access Journals (Sweden)

    Mihai CROITORU

    2011-09-01

    Full Text Available In the conditions of the current economic downturn, many specialists consider tourism as one of the sectors with the greatest potential to provide worldwide economic growth and development. A growing tourism sector can contribute effectively to employment, increase national income, and can also make a decisive mark on the balance of payments. Thus, tourism can be an important driving force for growth and prosperity, especially in emerging economies, being a key element in reducing poverty and regional disparities. Despite its contribution to economic growth, tourism sector development can be undermined by a series of economic and legislative barriers that can affect the competitiveness of this sector. In this context, the World Economic Forum proposes, via the Tourism Competitiveness Index (TCI, in addition to a methodology to identify key factors that contribute to increasing tourism competitiveness, tools for analysis and evaluation of these factors. In this context, this paper aims to analyze the underlying determinants of TCI from the perspective of two directly competing states, Romania and Bulgaria in order to highlight the effects of communication on the competitiveness of the tourism sector. The purpose of this analysis is to provide some answers, especially in terms of communication strategies, which may explain the completely different performances of the two national economies in the tourism sector.

  7. Digital image analysis

    DEFF Research Database (Denmark)

    Riber-Hansen, Rikke; Vainer, Ben; Steiniche, Torben

    2012-01-01

    Digital image analysis (DIA) is increasingly implemented in histopathological research to facilitate truly quantitative measurements, decrease inter-observer variation and reduce hands-on time. Originally, efforts were made to enable DIA to reproduce manually obtained results on histological slides...... reproducibility, application of stereology-based quantitative measurements, time consumption, optimization of histological slides, regions of interest selection and recent developments in staining and imaging techniques....

  8. Visual analysis of topic competition on social media.

    Science.gov (United States)

    Xu, Panpan; Wu, Yingcai; Wei, Enxun; Peng, Tai-Quan; Liu, Shixia; Zhu, Jonathan J H; Qu, Huamin

    2013-12-01

    How do various topics compete for public attention when they are spreading on social media? What roles do opinion leaders play in the rise and fall of competitiveness of various topics? In this study, we propose an expanded topic competition model to characterize the competition for public attention on multiple topics promoted by various opinion leaders on social media. To allow an intuitive understanding of the estimated measures, we present a timeline visualization through a metaphoric interpretation of the results. The visual design features both topical and social aspects of the information diffusion process by compositing ThemeRiver with storyline style visualization. ThemeRiver shows the increase and decrease of competitiveness of each topic. Opinion leaders are drawn as threads that converge or diverge with regard to their roles in influencing the public agenda change over time. To validate the effectiveness of the visual analysis techniques, we report the insights gained on two collections of Tweets: the 2012 United States presidential election and the Occupy Wall Street movement.

  9. Intelligence analysis – the royal discipline of Competitive Intelligence

    OpenAIRE

    František Bartes

    2011-01-01

    The aim of this article is to propose work methodology for Competitive Intelligence teams in one of the intelligence cycle’s specific area, in the so-called “Intelligence Analysis”. Intelligence Analysis is one of the stages of the Intelligence Cycle in which data from both the primary and secondary research are analyzed. The main result of the effort is the creation of added value for the information collected. Company Competiitve Intelligence, correctly understood and implemented in busines...

  10. Global Carbon Fiber Composites Supply Chain Competitiveness Analysis

    Energy Technology Data Exchange (ETDEWEB)

    Das, Sujit [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Warren, Josh [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); West, Devin [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Schexnayder, Susan M. [Univ. of Tennessee, Knoxville, TN (United States)

    2016-05-01

    This study identifies key opportunities in the carbon fiber supply chain where the United States Department of Energy's Office of Energy Efficiency and Renewable Energy resources and investments can help the United States achieve or maintain a competitive advantage. The report focuses on four application areas--wind energy, aerospace, automotive, and pressure vessels--that top the list of industries using carbon fiber and carbon fiber reinforced polymers and are also particularly relevant to EERE's mission. For each of the four application areas, the report addresses the supply and demand trends within that sector, supply chain, and costs of carbon fiber and components, all contributing to a competitiveness assessment that addresses the United States' role in future industry growth. This report was prepared by researchers at Oak Ridge National Laboratory and the University of Tennessee for the Clean Energy Manufacturing Analysis Center.

  11. Insights from Hydrogen Refueling Station Manufacturing Competitiveness Analysis

    Energy Technology Data Exchange (ETDEWEB)

    Mayyas, Ahmad

    2015-12-18

    In work for the Clean Energy Manufacturing Analysis Center (CEMAC), NREL is currently collaborating with Great Lakes Wind Network in conducting a comprehensive hydrogen refueling stations manufacturing competitiveness and supply chain analyses. In this project, CEMAC will be looking at several metrics that will facilitate understanding of the interactions between and within the HRS supply chain, such metrics include innovation potential, intellectual properties, learning curves, related industries and clustering, existing supply chains, ease of doing business, and regulations and safety. This presentation to Fuel Cell Seminar and Energy Exposition 2015 highlights initial findings from CEMAC's analysis.

  12. The relationship among image, satisfaction and loyalty – innovative factor of competitiveness for shopping centers

    Directory of Open Access Journals (Sweden)

    Ioana-Nicoleta Abrudan

    2015-05-01

    Full Text Available Currently, most markets are characterized by high competition among shopping centers. Under these circumstances, the evolution in the competitiveness and performance of the centers is increasingly linked to the success in the innovation of current activities, which is aimed at improving their image and increasing customer satisfaction and loyalty. The purpose of the present research is to study the influence of innovation activities through the image components on behavioural loyalty, mediated by satisfaction (affective loyalty and conative loyalty. The authors aim to investigate, using a questionnaire survey among the customers of Cluj-Napoca shopping centers, the relationship among the components of image and satisfaction and the various types of loyalty. The conclusions of the structural equations modelling reveal that most components of the image (assortment, price, loyalty policy, décor, service and communication directly and positively influence satisfaction, and that satisfaction and conative loyalty mediate the relationship between image and behavioural loyalty. The results reveal important managerial implications from the point of view of innovative actions of shopping centers, which can contribute to attracting and keeping customers, these contributing not only to creating loyal patrons, but also to increasing their competitiveness and to achieving better positioning.

  13. Competitiveness analysis on the grounds of information from the annual financial statements of the enterprise

    Directory of Open Access Journals (Sweden)

    Ivanova Rositsa

    2010-01-01

    Full Text Available Competitiveness is a category which is innate in every economic subject. It shows itself in the conditions of market competition. Between competition and competitiveness objectively exist mutual relations and dependence. The presence of competition is a prerequisite for rise of competitiveness and for its manifestation in the real business. In the scientific literature, there is no synonymous definition of the nature of competitiveness. This paper represents an attempt at systematization of the views on this scientific issue. The methodology and the methods of competitiveness analysis should be based on a system of methods. The purpose of this paper is to present possibilities for use of information from the annual financial statements of the enterprises for analysis of their competitiveness by taking into consideration the legislative decisions and the specific business conditions in the Republic of Bulgaria. .

  14. Medical Image Analysis Facility

    Science.gov (United States)

    1978-01-01

    To improve the quality of photos sent to Earth by unmanned spacecraft. NASA's Jet Propulsion Laboratory (JPL) developed a computerized image enhancement process that brings out detail not visible in the basic photo. JPL is now applying this technology to biomedical research in its Medical lrnage Analysis Facility, which employs computer enhancement techniques to analyze x-ray films of internal organs, such as the heart and lung. A major objective is study of the effects of I stress on persons with heart disease. In animal tests, computerized image processing is being used to study coronary artery lesions and the degree to which they reduce arterial blood flow when stress is applied. The photos illustrate the enhancement process. The upper picture is an x-ray photo in which the artery (dotted line) is barely discernible; in the post-enhancement photo at right, the whole artery and the lesions along its wall are clearly visible. The Medical lrnage Analysis Facility offers a faster means of studying the effects of complex coronary lesions in humans, and the research now being conducted on animals is expected to have important application to diagnosis and treatment of human coronary disease. Other uses of the facility's image processing capability include analysis of muscle biopsy and pap smear specimens, and study of the microscopic structure of fibroprotein in the human lung. Working with JPL on experiments are NASA's Ames Research Center, the University of Southern California School of Medicine, and Rancho Los Amigos Hospital, Downey, California.

  15. Image sequence analysis

    CERN Document Server

    1981-01-01

    The processing of image sequences has a broad spectrum of important applica­ tions including target tracking, robot navigation, bandwidth compression of TV conferencing video signals, studying the motion of biological cells using microcinematography, cloud tracking, and highway traffic monitoring. Image sequence processing involves a large amount of data. However, because of the progress in computer, LSI, and VLSI technologies, we have now reached a stage when many useful processing tasks can be done in a reasonable amount of time. As a result, research and development activities in image sequence analysis have recently been growing at a rapid pace. An IEEE Computer Society Workshop on Computer Analysis of Time-Varying Imagery was held in Philadelphia, April 5-6, 1979. A related special issue of the IEEE Transactions on Pattern Anal­ ysis and Machine Intelligence was published in November 1980. The IEEE Com­ puter magazine has also published a special issue on the subject in 1981. The purpose of this book ...

  16. Fetal Neurosonogaphy: Ultrasound and Magnetic Resonance Imaging in Competition.

    Science.gov (United States)

    Tercanli, S; Prüfer, F

    2016-12-01

    follow-up in 959 fetuses, intrauterine MRI was correct in 91 % of cases which was an increase of 16 % above that achieved by ultrasound 15. This means a significant diagnostic gain for specific issues. However, it must be taken into consideration that the analysis includes a period of 20 years and fetal neurosonography has made major progress in this time. The diagnostic gain would tend to be smaller today. In many studies the level of experience of the ultrasound examiners often remains unclear A possible bias is also that an examiner with less experience determines an indication for intrauterine MRI faster and more frequently and can thus gain more information compared to highly specialized, experienced ultrasound examiners in prenatal centers. Since advanced training in prenatal diagnosis is becoming increasingly difficult due to the transfer of centers to ambulatory practices, there is a certain risk that crash courses or brief internships in ultrasound will result in intrauterine MRI playing an additional role in fetal differential diagnosis and in the confirmation of findings. Because intrauterine MRI is stressful for pregnant women, indiscriminate indication for MRI cannot be recommended even if no fetal damage is to be expected provided that the appropriate safety measures are observed (examination duration of approx. 30 minutes and implementation of MRI after 18 weeks of gestation). After a properly performed ultrasound examination, little additional morphological information can be gained from MRI 16. However, in the case of an unclear sonographic finding or in the event of therapeutic consequences for the care of the fetus or for the birth, MRI is an excellent supplementary method to ultrasound. Concretely, this means ultrasound first. If the finding is not clear, intrauterine MRI can be used as an adjunct method. In this way the cost-benefit ratio can be optimized. The gains achieved by MRI compared to US depend on the quality of the examination and thus

  17. Nation's image components as a basis to formulate competitive identity: the peruvian case

    Directory of Open Access Journals (Sweden)

    Gina Pipoli de Azambuja

    2015-09-01

    Full Text Available In the globalized world that we live in today, countries strive to be distinguished one from another as a mechanism to increase tourism, the volume of exports and attract more investors, as a means to generate more sources of income. To do this, countries look for differentiation in the market, starting with the elements that constitute their national identity, which influence the costumer’s perception of the nation and is the basis to generate their competitive identity that will be the cornerstone on which their international marketing strategy is designed to go abroad and compete in the international market. The competitive identity has become a key piece to promote the national competitiveness, synthetizing the nation’s image exposed to the market to achieve objectives. Therefore, the objective of this paper is to identify Peru’s image elements, based on the national identity perceived by the national and foreign costumers, in order to design a competitive identity strategy for it.

  18. Time-motion analysis of elite male kickboxing competition.

    Science.gov (United States)

    Ouergui, Ibrahim; Hssin, Nizar; Haddad, Monoem; Franchini, Emerson; Behm, David G; Wong, Del P; Gmada, Nabil; Bouhlel, Ezzedine

    2014-12-01

    The objective of the study was to analyze the time structure of high-level kickboxing matches. A total of 45 combats from 2 male World Championships were monitored using a time-motion analysis system. The combat time structure (i.e., high-intensity activity [HIA], low-intensity activity [LIA], and referee breaks or pauses) during competition and weight divisions was determined and compared. Results indicated that the time structures were HIA: 2.2 ± 1.2 seconds; LIA: 2.3 ± 0.8 seconds; pauses: 5.4 ± 4.3 seconds; and 3.4 ± 1.2 seconds between 2 subsequent HIA. The fighting to nonfighting ratio was found to be 1:1. Moreover, the number of HIA and LIA and the time of LIA decreased in latter rounds (e.g., the average number of HIA was 27.1 ± 7.1, 25.1 ± 6.6, and 24.9 ± 6.1, respectively, for rounds 1, 2, and 3), meanwhile the time and number of pauses increased (e.g., the average pause times were 12.8 ± 11.4, 22.3 ± 22.6, and 24.6 ± 23.3 seconds, respectively, for rounds 1, 2, and 3). The activity times did not differ among weight categories. The present results confirm the intermittent nature of kickboxing competition and provide coaches with more information on how to structure training sessions to mimic the physical demands in competition.

  19. A time motion analysis of bouldering style competitive rock climbing.

    Science.gov (United States)

    White, Dominic J; Olsen, Peter D

    2010-05-01

    Limited research has been performed on competitive bouldering. The aim of this study was to quantify the movement dynamics of elite boulder climbers. Six climbers were filmed during a national competition consisting of 5 novel climbing problems or routes. Two problems were randomly selected and film footage was analyzed using Kandle Swinger Pro software to determine type and duration (seconds) of bouldering movements. All subjects provided consent, and the study had ethical approval. The mean +/- SD were determined for number of attempts per problem, duration of attempt, time on hold, and time to reach between holds. Exercise:recovery ratios were also calculated. On average, climbers attempted a problem 3.0 +/- 0.5 times, with an attempt lasting 28.9 +/- 10.8 seconds and rest periods of 114 +/- 31 seconds between attempts. Average time gripping holds was 7.9 +/- 1.3 seconds, with approximately 0.5 +/- 0.1 seconds recovery between reaching for holds. The exercise-to-recovery ratio was approximately 1:4 for attempting a problem and approximately 13:1 for forearm muscles during climbing. The exercise-to-recovery ratios allow sufficient time for recovery during and after a problem. However, the prolonged contraction of forearm muscles indicates the importance of strength and endurance in these muscles. Video analysis was found to be a useful tool for the quantification of movement characteristics of competitive elite boulders. Data collected could be utilized in the design of sport-specific tests and training programs. Future research could examine a larger number of athletes and problems and help develop performance tests and training interventions for bouldering.

  20. Country of origin image attributes as a source of competitive advantage: study in international brazilian fashion industry

    OpenAIRE

    Sutter, Mariana Bassi; Universidade de São Paulo - FEA/USP; Polo, Edison Fernandes; Universidade de São Paulo - FEA/USP; Maclennan, Maria Laura Ferranty; Universidade de São Paulo - FEA/USP

    2014-01-01

    The study sought to understand which attributes of the country of origin image are source of international competitive advantage in the context of Brazilian fashion. From the theoretical framework related to competitive advantage, country of origin image, Brazilianness and their attributes in fashion, we conducted exploratory research with a qualitative approach. The results suggest that the image of Brazil is understood by the international fashion market in accordance with the attributes of...

  1. On the analysis of competitive displacement in dengue disease transmission

    Science.gov (United States)

    Wijaya, Karunia P.; Nuraini, Nuning; Soewono, Edy; Handayani, Dewi

    2014-03-01

    We study a host-vector model involving the interplay of competitive displacement mechanism in a specific DENV serotype, both in human blood and mosquito blood. Using phylogenetic analysis, world virologists investigate the severe manifestations of dengue fever caused by the displacements within weakly virulent pathogens (native strains) by more virulent pathogens (invasive strains) in one serotype. We construct SIR model for human and SI model for mosquito to explore the key determinants of those displacements. Analysis of nonnegativity and boundedness of the solution as well as the basic reproduction number (R0) are taken into account for verifying the model into biological meaningfulness. To generate predictions of the outcomes of control strategies, we derive an optimal control model which involves two control apparatus: fluid infusion (for human) and fumigation (for vector). Numerical results show the dynamics of host-vector in an observation period, both under control and without control.

  2. A model for competitiveness level analysis in sports competitions: Application to basketball

    Science.gov (United States)

    de Saá Guerra, Y.; Martín González, J. M.; Sarmiento Montesdeoca, S.; Rodríguez Ruiz, D.; García-Rodríguez, A.; García-Manso, J. M.

    2012-05-01

    The degree of overall competitiveness of a sport league is a complex phenomenon. It is difficult to assess and quantify all elements that yield the final standing. In this paper, we analyze the general behavior of the result matrices of each season and we use the corresponding results as a probably density. Thus, the results of previous seasons are a way to investigate the probability that each team has to reach a certain number of victories. We developed a model based on Shannon entropy using two extreme competitive structures (a hierarchical structure and a random structure), and applied this model to investigate the competitiveness of two of the best professional basketball leagues: the NBA (USA) and the ACB (Spain). Both leagues’ entropy levels are high (NBA mean 0.983; ACB mean 0.980), indicating high competitiveness, although the entropy of the ACB (from 0.986 to 0.972) demonstrated more seasonal variability than that of the NBA (from 0.985 to 0.990), a possible result of greater sporting gradients in the ACB. The use of this methodology has proven useful for investigating the competitiveness of sports leagues as well as their underlying variability across time.

  3. Survival analysis of stochastic competitive models in a polluted environment and stochastic competitive exclusion principle.

    Science.gov (United States)

    Liu, Meng; Wang, Ke; Wu, Qiong

    2011-09-01

    Stochastic competitive models with pollution and without pollution are proposed and studied. For the first system with pollution, sufficient criteria for extinction, nonpersistence in the mean, weak persistence in the mean, strong persistence in the mean, and stochastic permanence are established. The threshold between weak persistence in the mean and extinction for each population is obtained. It is found that stochastic disturbance is favorable for the survival of one species and is unfavorable for the survival of the other species. For the second system with pollution, sufficient conditions for extinction and weak persistence are obtained. For the model without pollution, a partial stochastic competitive exclusion principle is derived.

  4. Image based performance analysis of thermal imagers

    Science.gov (United States)

    Wegner, D.; Repasi, E.

    2016-05-01

    Due to advances in technology, modern thermal imagers resemble sophisticated image processing systems in functionality. Advanced signal and image processing tools enclosed into the camera body extend the basic image capturing capability of thermal cameras. This happens in order to enhance the display presentation of the captured scene or specific scene details. Usually, the implemented methods are proprietary company expertise, distributed without extensive documentation. This makes the comparison of thermal imagers especially from different companies a difficult task (or at least a very time consuming/expensive task - e.g. requiring the execution of a field trial and/or an observer trial). For example, a thermal camera equipped with turbulence mitigation capability stands for such a closed system. The Fraunhofer IOSB has started to build up a system for testing thermal imagers by image based methods in the lab environment. This will extend our capability of measuring the classical IR-system parameters (e.g. MTF, MTDP, etc.) in the lab. The system is set up around the IR- scene projector, which is necessary for the thermal display (projection) of an image sequence for the IR-camera under test. The same set of thermal test sequences might be presented to every unit under test. For turbulence mitigation tests, this could be e.g. the same turbulence sequence. During system tests, gradual variation of input parameters (e. g. thermal contrast) can be applied. First ideas of test scenes selection and how to assembly an imaging suite (a set of image sequences) for the analysis of imaging thermal systems containing such black boxes in the image forming path is discussed.

  5. A weighted discrete imperialist competitive algorithm (WDICA) combined with chaotic map for image encryption

    Science.gov (United States)

    Enayatifar, Rasul; Abdullah, Abdul Hanan; Lee, Malrey

    2013-09-01

    In recent years, there has been increasing interest in the security of digital images. This study focuses on binary image encryption using the weighted discrete imperialist competitive algorithm (WDICA). In the proposed method, a chaotic map is first used to create a specified number of cipher images. Then, to improve the results, WDICA is applied to the cipher images. In this study, entropy and correlation coefficient are used as WDICA's fitness functions. The goal is to maximize the entropy and minimize correlation coefficients. The advantage of this method is its ability to optimize the outcome of all iterations using WDICA. Simulation results show that WDICA not only demonstrates excellent encryption but also resists various typical attacks. The obtained correlation coefficient and entropy of the proposed WDICA are approximately 0.004 and 7.9994, respectively.

  6. COEXISTENCE, EXCLUSION, OR NEUTRALITY? A META-ANALYSIS OF COMPETITION BETWEEN AEDES ALBOPICTUS AND RESIDENT MOSQUITOES.

    Science.gov (United States)

    Juliano, Steven A

    2010-06-01

    Competition experiments estimating the relative effects of inter- and intraspecific competition can help to resolve whether interspecific competition results in coexistence or exclusion. For mosquitoes, most such experiments have focused on invasive Aedes albopictus and its interactions with resident Aedes. A meta-analysis of such experiments tested whether the effect of interspecific competition is greater than, less than, or equal to that of intraspecific competition, and whether competitive outcomes are dependent on food quality. For A. albopictus and A. aegypti, there was significant context dependence, with interspecific competitive advantage for A. albopictus with low food quality, and competitive equivalence with high food quality. Meta-analysis of survivorship yielded more significant effects than did estimated rate of increase. Competitive effects and competitive responses of each species yielded similar results. This meta-analysis suggests competitive exclusion of A. aegypti by A. albopictus, and is thus consistent with field sampling, qualitative reviews, and interpretations from individual publications. For A. albopictus and A. triseriatus, most results indicated competitive equivalence and no context dependence, and are thus contrary to previous qualitative reviews and to interpretations from individual publications. For both pairs of species, published results suitable for meta-analysis remain scarce, and better experimental designs and improved analysis and reporting of statistical results are needed. Greater emphasis needs to be placed on estimating species' inter- and intra-specific competitive effects, rather than the more common, but theoretically less interesting, competitive responses. Experiments without low-density controls (i.e., replacement series) are inadequate for comparing competitive effects and responses.

  7. Competitive Dynamics in Micro: Analysis of Perception About Competition in Unitomo Street Food Business

    Directory of Open Access Journals (Sweden)

    Bambang Raditya Purnomo

    2017-09-01

    Full Text Available The purpose of the study this is to explore small and micro businesses in their connections with competitors and the competitive force in the market. This study uses the information processing approach to examine three activities, scanning the competitive environment, the interpretation of competitive actions, and reactions based on that assessment. This research is motivated by the lack of competitiveness of micro businesses, especially those engaged in the culinary field. This study uses qualitative approach with phenomenological methods, in which researchers try to explain or reveal the meaning of a concept or phenomenon of experience based on the awareness that occurs in some individuals. In this study, researchers collect, summarize and interpret the data obtained, which is then processed back in order to obtain a clear, directed and thorough pictures of the problem which become the object of research. Phenomenological approach is used to analyze the original data collected from interview with the informant. Structural interpretation of the experience described by researchers in the description of the participants.

  8. Competition Efficiency Analysis of Croatian Junior Wrestlers in European Championship

    Directory of Open Access Journals (Sweden)

    Kristijan Slacanac

    2017-06-01

    Full Text Available Croatian junior wrestler won a bronze medal at the European Championship 2016 year. Considering the potential of our wrestlers there is an obvious need of technical and tactical analysis so our juniors and seniors U23 wrestlers would be able to achieve even better results. Match analysis were conducted by LongoMatch 0.20.1. Seven matches of Croatian wrestlers were analysed. Time parameters, score efficiency, technical efficiency and tactical structure were observed and analysed from the aspect of attack and defence phase and successful/unsuccessful techniques. This paper shows descriptive parameters and competitor efficiency were calculated. The results show a great number of positive score in a standing position in relation to parterre position. The parameters of competitive efficiency (0.49 points per minute show better attacking efficiency (1.32 points per minute in relation to defence efficiency (0.83 points per minute. Croatian wrestlers achieve less score per minute in relation with elite wrestlers, but it is visible a significant progress in technical and tactical efficiency in relation in the past three year. According to place realization of technique, Croatian wrestlers realized more technique in the center, while opponents realized technique in the zone and moving to the zone. Further analysis of efficiency and individualisation training will improve efficiency of Croatian national wrestlers.

  9. Competitive Intelligence Analysis of Augmented Reality Technology Using Patent Information

    National Research Council Canada - National Science Library

    Byeongki Jeong; Janghyeok Yoon

    2017-01-01

    .... Despite the growing attraction of augmented reality, trend analyses in this emerging technology have relied on qualitative literature review, failing to provide comprehensive competitive intelligence...

  10. A longitudinal analysis of women's salivary testosterone and intrasexual competitiveness.

    Science.gov (United States)

    Hahn, Amanda C; Fisher, Claire I; Cobey, Kelly D; DeBruine, Lisa M; Jones, Benedict C

    2016-02-01

    Research on within-subject changes in women's intrasexual competitiveness has generally focused on possible relationships between women's intrasexual competitiveness and estimates of their fertility. While this approach is useful for testing hypotheses about the adaptive function of changes in women's intrasexual competitiveness, it offers little insight into the proximate mechanisms through which such changes might occur. To investigate this issue, we carried out a longitudinal study of the hormonal correlates of changes in intrasexual competitiveness in a large sample of heterosexual women (N=136). Each woman provided saliva samples and completed an intrasexual competitiveness questionnaire in five weekly test sessions. Multilevel modeling of these data revealed a significant, positive within-subject effect of testosterone on intrasexual competitiveness, indicating that women reported greater intrasexual competitiveness when testosterone was high. By contrast, there were no significant effects of estradiol, progesterone, estradiol-to-progesterone ratio, or cortisol and no significant effects of any hormones on reported relationship jealousy. This is the first study to demonstrate correlated changes in measured testosterone levels and women's reported intrasexual competitiveness, implicating testosterone in the regulation of women's intrasexual competitiveness.

  11. A reliability analysis of the revised competitiveness index.

    Science.gov (United States)

    Harris, Paul B; Houston, John M

    2010-06-01

    This study examined the reliability of the Revised Competitiveness Index by investigating the test-retest reliability, interitem reliability, and factor structure of the measure based on a sample of 280 undergraduates (200 women, 80 men) ranging in age from 18 to 28 years (M = 20.1, SD = 2.1). The findings indicate that the Revised Competitiveness Index has high test-retest reliability, high inter-item reliability, and a stable factor structure. The results support the assertion that the Revised Competitiveness Index assesses competitiveness as a stable trait rather than a dynamic state.

  12. ANALYSIS OF THE COMPETITIVENESS AT GLOBAL LEVEL IN THE PERIOD 2011 – 2013

    Directory of Open Access Journals (Sweden)

    Cristina BÂLDAN

    2013-12-01

    Full Text Available The increasing competitiveness has become in recent years an important coordinate of the socio-economic development strategies in most countries of the world, especially in the most developed ones, of the sectoral development strategies within the national economies, as well as of the business strategies. This paper presents an analysis of the competitiveness indices of several countries, including Romania and it is based on data provided by "The World Competitiveness Yearbook 2012-2013". "The World Competitiveness Yearbook" represents an analysis of the competitiveness of 60 economies using 333 criteria, published continuously since 1989. The 2013 edition shows competitiveness of national/regional economies based on 2012 data. The International Institute for Management Development uses over 300 criteria in determining competitiveness and they refer to economy, authorities’ efficiency, business efficiency, and infrastructure.

  13. Reflections on ultrasound image analysis.

    Science.gov (United States)

    Alison Noble, J

    2016-10-01

    Ultrasound (US) image analysis has advanced considerably in twenty years. Progress in ultrasound image analysis has always been fundamental to the advancement of image-guided interventions research due to the real-time acquisition capability of ultrasound and this has remained true over the two decades. But in quantitative ultrasound image analysis - which takes US images and turns them into more meaningful clinical information - thinking has perhaps more fundamentally changed. From roots as a poor cousin to Computed Tomography (CT) and Magnetic Resonance (MR) image analysis, both of which have richer anatomical definition and thus were better suited to the earlier eras of medical image analysis which were dominated by model-based methods, ultrasound image analysis has now entered an exciting new era, assisted by advances in machine learning and the growing clinical and commercial interest in employing low-cost portable ultrasound devices outside traditional hospital-based clinical settings. This short article provides a perspective on this change, and highlights some challenges ahead and potential opportunities in ultrasound image analysis which may both have high impact on healthcare delivery worldwide in the future but may also, perhaps, take the subject further away from CT and MR image analysis research with time.

  14. A robust color image watermarking technique using modified Imperialist Competitive Algorithm.

    Science.gov (United States)

    Moghaddam, Mohsen Ebrahimi; Nemati, Nasibeh

    2013-12-10

    In this paper, a novel robust watermarking technique using Imperialistic Competition Algorithm (ICA) in the spatial domain is proposed to protect the intellectual property rights of color images. The proposed method tries to insert the watermark in the blocks which are selected by Modified ICA. In this method, ICA has been customized for watermarking. The color band for watermark insertion is selected based on color dynamic range in each block. Besides, in the procedure of selecting blocks for watermark insertion and extraction, ensuring higher fidelity and robustness and resilience to several possible image attacks have been considered. The experimental results showed that the proposed method performance created watermarked images with better PSNRs and more robustness versus several attacks such as additive noise and blurring in compare to related works. Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

  15. Competition and Markets in Higher Education: A "Glonacal" Analysis

    Science.gov (United States)

    Marginson, Simon

    2004-01-01

    Higher education--particularly the research-intensive university, which is the focus of this article--is the subject of global/national/local effects, and is shaped by hierarchy and uneven development on a world scale. The article theorises social competition in higher education, and traces inter-university competition and stratification on the…

  16. Marketing analysis of the competitiveness of state-owned banks

    Directory of Open Access Journals (Sweden)

    V.V. Onishchenko

    2011-10-01

    Full Text Available The article investigated the competitive position of the Ukrainian state-owned banks in comparison with the largest commercial banks, representatives of the private sector. The main characteristics on which the state banks concede private has been defined. The main advantages and disadvantages of state-owned banks that have an impact on their competitiveness has been defined.

  17. Does Competition Improve Public School Efficiency? A Spatial Analysis

    Science.gov (United States)

    Misra, Kaustav; Grimes, Paul W.; Rogers, Kevin E.

    2012-01-01

    Advocates for educational reform frequently call for policies to increase competition between schools because it is argued that market forces naturally lead to greater efficiencies, including improved student learning, when schools face competition. Researchers examining this issue are confronted with difficulties in defining reasonable measures…

  18. Fragmentation, Incomes and Jobs. An analysis of European competitiveness

    NARCIS (Netherlands)

    Timmer, Marcel; Los, Bart; Stehrer, Robert; Vries, Gaaitzen J. de

    2012-01-01

    Increasing fragmentation of production across borders is changing the nature of international competition. It increasingly plays out at the level of activities within industries, rather than at the level of whole industries. As a result, current measures of competitiveness such as export market shar

  19. Fragmentation, incomes and jobs : an analysis of European competitiveness

    NARCIS (Netherlands)

    Timmer, Marcel P.; Los, Bart; Stehrer, Robert; de Vries, Gaaitzen J.

    2013-01-01

    Increasing fragmentation of production across borders is changing the nature of international competition. As a result, conventional indicators of competitiveness based on gross exports become less informative and new measures are needed. In this paper we propose a new concept based on the value add

  20. Digital Images Analysis

    OpenAIRE

    2012-01-01

    International audience; A specific field of image processing focuses on the evaluation of image quality and assessment of their authenticity. A loss of image quality may be due to the various processes by which it passes. In assessing the authenticity of the image we detect forgeries, detection of hidden messages, etc. In this work, we present an overview of these areas; these areas have in common the need to develop theories and techniques to detect changes in the image that it is not detect...

  1. Image Analysis in CT Angiography

    NARCIS (Netherlands)

    Manniesing, R.

    2006-01-01

    In this thesis we develop and validate novel image processing techniques for the analysis of vascular structures in medical images. First a new type of filter is proposed which is capable of enhancing vascular structures while suppressing noise in the remainder of the image. This filter is based on

  2. Reference image selection for difference imaging analysis

    CERN Document Server

    Huckvale, Leo; Sale, Stuart E

    2014-01-01

    Difference image analysis (DIA) is an effective technique for obtaining photometry in crowded fields, relative to a chosen reference image. As yet, however, optimal reference image selection is an unsolved problem. We examine how this selection depends on the combination of seeing, background and detector pixel size. Our tests use a combination of simulated data and quality indicators from DIA of well-sampled optical data and under-sampled near-infrared data from the OGLE and VVV surveys, respectively. We search for a figure-of-merit (FoM) which could be used to select reference images for each survey. While we do not find a universally applicable FoM, survey-specific measures indicate that the effect of spatial under-sampling may require a change in strategy from the standard DIA approach, even though seeing remains the primary criterion. We find that background is not an important criterion for reference selection, at least for the dynamic range in the images we test. For our analysis of VVV data in particu...

  3. Competitive analysis of soybean and sudangrass using replacement series design

    Directory of Open Access Journals (Sweden)

    Mauro Antônio Rizzardi

    Full Text Available ABSTRACT Competition is the best known form of direct interference of weeds on agricultural crops. However, there is relatively little information on the competition of the weed sudangrass on soybean, which has been common in agricultural areas in the southern of Rio Grande do Sul. The objective of this study was to evaluate the competition between sudangrass and soybeans using replacement series experiments. The experiment was carried out in a greenhouse in a completely randomized design with four replications. The treatments consisted of soybean and sudangrass associations. The experimental units were 8-L plastic pots, in the proportions 0: 8, 2: 6, 4: 4, 6: 2, 8: 0, corresponding to 0, 25, 50, 75 and 100% of the crop and weed respectively. Shoot, root and total dry matter and plant height were analyzed through diagrams applied to replacement series and competitive indices. Soybean showed competitive superiority in coexistence with sudangrass in relation to shoot, root and total dry matter. The intraspecific competition was more significant for the crop and inter-specific competition was more important for the weed.

  4. Measures of Competitive Intensity – Analysis Based on Literature Review

    Directory of Open Access Journals (Sweden)

    Dariusz Kwieciński

    2017-03-01

    Full Text Available Purpose: To systematize the existing approaches and tools used for measuring competitive intensity. Methodology: Systematic literature review along with critical literature review. Findings: Identifcation of two main approaches to measuring competition intensity: the frst pertains to research based on experts’ opinions and involves the use of questionnaires (primary sources, while the second is based on structural variables used with a variety of indexes (secondary sources. In addition, variables applied for the purpose of measuring the intensity of competition are divided into structural and behavioural. Research implications: Research implications are two-fold. Firstly, a distinction is made between various types of existing approaches to measuring competitive intensity. Secondly, research is carried out, inter alia, with regard to the actual object of certain measures, as opposed to their object stemming from commonly accepted defnitions. Practical implications: The issue of measuring competition intensity occupies a prominent place in the discussion on the effectiveness of inter-organizational relationships. The fndings outlined in this paper may help managers to develop/adopt the right approach supporting their strategic decisions. Originality: The paper provides a complex review of the existing methods and measures of competitive intensity. It systematizes recent knowledge about competitive intensity measurements.

  5. The Examination of the Competitiveness in the Hungarian SME Sector: A Firm Level Analysis

    Directory of Open Access Journals (Sweden)

    László Szerb

    2009-11-01

    Full Text Available While the research on competition has been increasing in popularity amongstscholars, there is a lack of studies focusing on the firm level competition especially inHungary. Even less is known about the competitiveness of the smaller size businesses. Thenewly created conceptual model is configured to fit to the small business setup as well as tothe available data set. The model contains 19 individual variables and seven pillars. Themethodology is unique in the sense that it incorporates the weak points, called bottlenecksover the seven pillars of competitiveness. The individual level competitiveness points arecalculated for each of the 695 businesses. The competition points collerate significantlywith the selected three measures of competitiveness, increase of sales, employment andexport. The cluster analysis prevails high differences amongst the seven groups ofbusinesses.

  6. ANALYSIS OF FUNDUS IMAGES

    DEFF Research Database (Denmark)

    2000-01-01

    A method classifying objects man image as respective arterial or venous vessels comprising: identifying pixels of the said modified image which are located on a line object, determining which of the said image points is associated with crossing point or a bifurcation of the respective line object......, wherein a crossing point is represented by an image point which is the intersection of four line segments, performing a matching operation on pairs of said line segments for each said crossing point, to determine the path of blood vessels in the image, thereby classifying the line objects in the original...... image into two arbitrary sets, and thereafter designating one of the sets as representing venous structure, the other of the sets as representing arterial structure, depending on one or more of the following criteria: (a) complexity of structure; (b) average density; (c) average width; (d) tortuosity...

  7. Analysis of competitive activity of qualified handball players

    Directory of Open Access Journals (Sweden)

    Tyshchenko V. A.

    2013-02-01

    Full Text Available The results of competition activity of leading masculine handball commands are considered on Olympiad-2012 on the basis of estimation of efficiency of throws on a gate. Protocols of games are studied. Viewing of the videotape recordings of matches and analysis of reports of complex scientific groups which worked on Olympiad is conducted. The results of estimation of efficiency of throws of ball on a gate, executed from different positions are got. It is set that for 8 conducted games olympic champions (France, executed 363 throws on a gate (on the average 45,38 throws for a game, hammered in 229 goal (28,63 goal for a game and attained the greatest effectiveness - 63%. It is set that efficiency of throws of handball commands is expressly up-diffused in a descending order, in obedience to busy on Olympiad places. Directions the correction of the programs of preparation of skilled handballers and control of their implementation are offered for the collapsible command of Ukraine.

  8. Imaging social motivation: distinct brain mechanisms drive effort production during collaboration versus competition.

    Science.gov (United States)

    Le Bouc, Raphaël; Pessiglione, Mathias

    2013-10-01

    Collaborative and competitive interactions have been investigated extensively so as to understand how the brain makes choices in the context of strategic games, yet such interactions are known to influence a more basic dimension of behavior: the energy invested in the task. The cognitive mechanisms that motivate effort production in social situations remain poorly understood, and their neural counterparts have not been explored so far. A dominant idea is that the motivation provided by the social context is reducible to the personal utility of effort production, which decreases in collaboration and increases in competition. Using functional magnetic resonance imaging, we scanned human participants while they produced a physical effort in a collaborative or competitive context. We found that motivation was indeed primarily driven by personal utility, which was reflected in brain regions devoted to reward processing (the ventral basal ganglia). However, subjects who departed from utility maximization, working more in collaborative situations, showed greater functional activation and anatomical volume in a brain region implicated previously in social cognition (the temporoparietal junction). Therefore, this region might mediate a purely pro-social motivation to produce greater effort in the context of collaboration. More generally, our findings suggest that the individual propensity to invest energy in collaborative work might have an identifiable counterpart in the brain functional architecture.

  9. Introduction to Medical Image Analysis

    DEFF Research Database (Denmark)

    Paulsen, Rasmus Reinhold; Moeslund, Thomas B.

    2011-01-01

    of the book is to present the fascinating world of medical image analysis in an easy and interesting way. Compared to many standard books on image analysis, the approach we have chosen is less mathematical and more casual. Some of the key algorithms are exemplified in C-code. Please note that the code...

  10. Introduction to Medical Image Analysis

    DEFF Research Database (Denmark)

    Paulsen, Rasmus Reinhold; Moeslund, Thomas B.

    of the book is to present the fascinating world of medical image analysis in an easy and interesting way. Compared to many standard books on image analysis, the approach we have chosen is less mathematical and more casual. Some of the key algorithms are exemplified in C-code. Please note that the code...

  11. Oncological image analysis: medical and molecular image analysis

    Science.gov (United States)

    Brady, Michael

    2007-03-01

    This paper summarises the work we have been doing on joint projects with GE Healthcare on colorectal and liver cancer, and with Siemens Molecular Imaging on dynamic PET. First, we recall the salient facts about cancer and oncological image analysis. Then we introduce some of the work that we have done on analysing clinical MRI images of colorectal and liver cancer, specifically the detection of lymph nodes and segmentation of the circumferential resection margin. In the second part of the paper, we shift attention to the complementary aspect of molecular image analysis, illustrating our approach with some recent work on: tumour acidosis, tumour hypoxia, and multiply drug resistant tumours.

  12. Hyperspectral image analysis. A tutorial

    DEFF Research Database (Denmark)

    Amigo Rubio, Jose Manuel; Babamoradi, Hamid; Elcoroaristizabal Martin, Saioa

    2015-01-01

    This tutorial aims at providing guidelines and practical tools to assist with the analysis of hyperspectral images. Topics like hyperspectral image acquisition, image pre-processing, multivariate exploratory analysis, hyperspectral image resolution, classification and final digital image processi...... to differentiate between several types of plastics by using Near infrared hyperspectral imaging and Partial Least Squares - Discriminant Analysis. Thus, the reader is guided through every single step and oriented in order to adapt those strategies to the user's case....... will be exposed, and some guidelines given and discussed. Due to the broad character of current applications and the vast number of multivariate methods available, this paper has focused on an industrial chemical framework to explain, in a step-wise manner, how to develop a classification methodology...

  13. Hyperspectral image analysis. A tutorial

    Energy Technology Data Exchange (ETDEWEB)

    Amigo, José Manuel, E-mail: jmar@food.ku.dk [Spectroscopy and Chemometrics Group, Department of Food Sciences, Faculty of Science, University of Copenhagen, Rolighedsvej 30, Frederiksberg C DK–1958 (Denmark); Babamoradi, Hamid [Spectroscopy and Chemometrics Group, Department of Food Sciences, Faculty of Science, University of Copenhagen, Rolighedsvej 30, Frederiksberg C DK–1958 (Denmark); Elcoroaristizabal, Saioa [Spectroscopy and Chemometrics Group, Department of Food Sciences, Faculty of Science, University of Copenhagen, Rolighedsvej 30, Frederiksberg C DK–1958 (Denmark); Chemical and Environmental Engineering Department, School of Engineering, University of the Basque Country, Alameda de Urquijo s/n, E-48013 Bilbao (Spain)

    2015-10-08

    This tutorial aims at providing guidelines and practical tools to assist with the analysis of hyperspectral images. Topics like hyperspectral image acquisition, image pre-processing, multivariate exploratory analysis, hyperspectral image resolution, classification and final digital image processing will be exposed, and some guidelines given and discussed. Due to the broad character of current applications and the vast number of multivariate methods available, this paper has focused on an industrial chemical framework to explain, in a step-wise manner, how to develop a classification methodology to differentiate between several types of plastics by using Near infrared hyperspectral imaging and Partial Least Squares – Discriminant Analysis. Thus, the reader is guided through every single step and oriented in order to adapt those strategies to the user's case. - Highlights: • Comprehensive tutorial of Hyperspectral Image analysis. • Hierarchical discrimination of six classes of plastics containing flame retardant. • Step by step guidelines to perform class-modeling on hyperspectral images. • Fusion of multivariate data analysis and digital image processing methods. • Promising methodology for real-time detection of plastics containing flame retardant.

  14. Comparative analysis of competitive activities of skilled players of different functions in women's and men's football

    Directory of Open Access Journals (Sweden)

    Zhurid S.

    2010-04-01

    Full Text Available The comparative analysis of results of the pedagogical looking is conducted after individual and command competition activity of footballers of professional clubs. The most characteristic are exposed technical tactical receptions. Quantitative and high-quality competition performance of sportsmen indicators are certain. In descriptions of competition activity it is necessary to take into account quantitative and high-quality indexes. Also are terms: speed, limitations, is in time and space, presence of hammerings together factors and competitor.

  15. Country of origin image attributes as a source of competitive advantage: study in international brazilian fashion industry

    Directory of Open Access Journals (Sweden)

    Mariana Bassi Sutter

    2014-08-01

    Full Text Available The study sought to understand which attributes of the country of origin image are source of international competitive advantage in the context of Brazilian fashion. From the theoretical framework related to competitive advantage, country of origin image, Brazilianness and their attributes in fashion, we conducted exploratory research with a qualitative approach. The results suggest that the image of Brazil is understood by the international fashion market in accordance with the attributes of the literature. However (i in fashion, market still does not have a steady concept on the image of Brazil, (ii Brazilianness attributes in fashion can be a source of competitive advantage in international trades if they are communicated, promoted and understood by the international market; finally, (iii among the eight Brazilianness trendy attributes identified in the literature, four were highlighted as differentiators: shape and volumes, colors, prints and lifestyle.

  16. Stochastic geometry for image analysis

    CERN Document Server

    Descombes, Xavier

    2013-01-01

    This book develops the stochastic geometry framework for image analysis purpose. Two main frameworks are  described: marked point process and random closed sets models. We derive the main issues for defining an appropriate model. The algorithms for sampling and optimizing the models as well as for estimating parameters are reviewed.  Numerous applications, covering remote sensing images, biological and medical imaging, are detailed.  This book provides all the necessary tools for developing an image analysis application based on modern stochastic modeling.

  17. Paraxial ghost image analysis

    Science.gov (United States)

    Abd El-Maksoud, Rania H.; Sasian, José M.

    2009-08-01

    This paper develops a methodology to model ghost images that are formed by two reflections between the surfaces of a multi-element lens system in the paraxial regime. An algorithm is presented to generate the ghost layouts from the nominal layout. For each possible ghost layout, paraxial ray tracing is performed to determine the ghost Gaussian cardinal points, the size of the ghost image at the nominal image plane, the location and diameter of the ghost entrance and exit pupils, and the location and diameter for the ghost entrance and exit windows. The paraxial ghost irradiance point spread function is obtained by adding up the irradiance contributions for all ghosts. Ghost simulation results for a simple lens system are provided. This approach provides a quick way to analyze ghost images in the paraxial regime.

  18. Product competitiveness analysis for e-commerce platform of special agricultural products

    Science.gov (United States)

    Wan, Fucheng; Ma, Ning; Yang, Dongwei; Xiong, Zhangyuan

    2017-09-01

    On the basis of analyzing the influence factors of the product competitiveness of the e-commerce platform of the special agricultural products and the characteristics of the analytical methods for the competitiveness of the special agricultural products, the price, the sales volume, the postage included service, the store reputation, the popularity, etc. were selected in this paper as the dimensionality for analyzing the competitiveness of the agricultural products, and the principal component factor analysis was taken as the competitiveness analysis method. Specifically, the web crawler was adopted to capture the information of various special agricultural products in the e-commerce platform ---- chi.taobao.com. Then, the original data captured thereby were preprocessed and MYSQL database was adopted to establish the information library for the special agricultural products. Then, the principal component factor analysis method was adopted to establish the analysis model for the competitiveness of the special agricultural products, and SPSS was adopted in the principal component factor analysis process to obtain the competitiveness evaluation factor system (support degree factor, price factor, service factor and evaluation factor) of the special agricultural products. Then, the linear regression method was adopted to establish the competitiveness index equation of the special agricultural products for estimating the competitiveness of the special agricultural products.

  19. Competitiveness of Serbia as a tourist destination: Analysis of selected key indicators

    Directory of Open Access Journals (Sweden)

    Popesku Jovan

    2013-01-01

    Full Text Available To achieve the favourable competitiveness position, tourist destination has to offer quality experiences to tourists that can make the destination more attractive compared to other tourist destinations. The role of destination management is to exploit and develop existing resources by using clear and effective strategies for developing tourism products and creating additional value of tourist experience. The first step of analysis is to define destination competitiveness by using the indicators which will review and give the guidelines for improvement of competitive position. This paper discusses the tourist destinations' competitiveness and indicators for its measurement with a special reference to Serbia. Tourism development of Serbia is a big chance for overall economic development of the country. Current competitive position of Serbian tourism on international market is not satisfactory and this paper is trying to analyze and to point out the reasons of Serbia's tourism low competitiveness. Conclusions about the competitive positioning of Serbia as a tourist destination are drawn out firstly based on the relevant studies as well as on the Serbian Tourism Development Strategy. The results of Travel and Tourism Competitiveness Index (WEF TTCI reports for Serbia are also presented. Based on own research, this paper is also showing the results related to competitiveness of Serbia as a tourist destination in terms of two groups of indicators: natural, cultural and historical resources as well as destination management. According to the results, Serbia is more competitive in its natural, cultural and historical resources comparing to the role of destination management.

  20. COMPARATIVE ANALYSIS OF THE RECENT EVOLUTIONS OF ROMANIAN AND EUROPEAN UNION'S COMPETITIVENESS

    Directory of Open Access Journals (Sweden)

    Felea Adrian Ioan

    2011-07-01

    Full Text Available The main subject of this paper refers to an analysis of the recent trends and evolution of Romanian competitiveness compared to the European Union competitiveness and it is structured in four main parts. The first section of the paper regards an introduction of the competitiveness evolution process, recalling the three actual evaluation models of the competitiveness level. In the second part of the paper there can be found the competitiveness indexes practiced and published by the World Economic Forum, indicators that are structured on three main levels as following: the Global Competitiveness Index and its aggregate indicators that are developed on three categories of factors that are essential for the competitiveness process (Basic requirements, Efficienty Enhancers, Innovation and sophistication factors and the indexes associated to the twelve pillars of competitiveness: Institutions, Infrastructure, Macroeconomic stability, Health and primary education, Higer education and training, Goods market efficiency, Labor market efficiency, Financial market sophistication Technological readiness, Market size, Business sophistication, Innovation. Based on the values obtained after consulting the World Economic Forum Reports and regarding the competitiveness from a global perspective, the third part of the paper presents a comparative analyisis of the evolution of the Romanian competitiveness process and the one of the EU25. In the last part of the paper there can be found the conclusions of this analysis, with respect to the values found This paper is part of the doctoral thesis entitled "Increased Competitiveness in the Romanian economy, in the context of Sustainable Development, coordinated by Professor Michael Berinde University of Oradea, Faculty of Economics. Doctoral research is supported by Human Resources Development Operational Programme 2007-2013, Contract POSDRU/CPP107/DMI1.5/S/80272 , "Doctoral programs to train researchers performing

  1. Image Analysis for Tongue Characterization

    Institute of Scientific and Technical Information of China (English)

    SHENLansun; WEIBaoguo; CAIYiheng; ZHANGXinfeng; WANGYanqing; CHENJing; KONGLingbiao

    2003-01-01

    Tongue diagnosis is one of the essential methods in traditional Chinese medical diagnosis. The ac-curacy of tongue diagnosis can be improved by tongue char-acterization. This paper investigates the use of image anal-ysis techniques for tongue characterization by evaluating visual features obtained from images. A tongue imaging and analysis instrument (TIAI) was developed to acquire digital color tongue images. Several novel approaches are presented for color calibration, tongue area segmentation,quantitative analysis and qualitative description for the colors of tongue and its coating, the thickness and moisture of coating and quantification of the cracks of the toilgue.The overall accuracy of the automatic analysis of the colors of tongue and the thickness of tongue coating exceeds 85%.This work shows the promising future of tongue character-ization.

  2. Analysis of Stochastic Gilpin-Ayala Competition System

    Directory of Open Access Journals (Sweden)

    Lei Liu

    2014-01-01

    Full Text Available This paper is concerned with the asymptotic behavior for stochastic Gilpin-Ayala competition system. The sufficient conditions for existence of stationary distribution and extinction are established. And a certain asymptotic property of the solution is also obtained. A nontrivial example is provided to illustrate our results.

  3. Comparative Analysis of Competitive Balanceo f Basketball League

    Directory of Open Access Journals (Sweden)

    Siniša Jungić

    2015-04-01

    Full Text Available Basketball is a sport that has a very long tradition in the territory of ex-Yugoslavia. The breakdown of the country led to a de- crease in quality of basketball in the newly created countries. The unsteadiness of quality of the teams in national leagues resulted in formation of the Regional Adriatic Basketball League (ABA in 2001. The main goal of this research was to measure the competitive balance in ABA, Spanish (ACB and National Basketball Association League (NBA. The competitive balance was calculated by using Ratio of Standard Deviation index (RSD and Herfindahl-Hirschman Index (HHI.The results of RSD showed that the most equable was ABA league, then came ACB league, while the most unequable was NBA league. The calculating of HHI index gave a different result. NBA is the most equable, then comes ABA league, and the last one is ACB league, which is the most unequable according to this parameter. ABA league has less quality than ACB and NBA league, but the results show that it is competitively the most balanced league. According to the RSD rates, NBA league is the most unequable. The main reason for that is a huge number of teams taking part in the league, which causes the unequable distribution of quality players. Ac- cording to HHI, NBA is the most equable. Reason for that are different mechanisms whose goal is to reach and maintain the competitive balance.

  4. Analysis of Stochastic Gilpin-Ayala Competition System

    OpenAIRE

    Lei Liu; Quanxin Zhu

    2014-01-01

    This paper is concerned with the asymptotic behavior for stochastic Gilpin-Ayala competition system. The sufficient conditions for existence of stationary distribution and extinction are established. And a certain asymptotic property of the solution is also obtained. A nontrivial example is provided to illustrate our results.

  5. An Analysis of Production Competition and Award Methodology.

    Science.gov (United States)

    1984-09-01

    factor is nill , or the SP0 determines the competition will be head-to-head with no price factor consideration. Once a value is determined for the... Jacking , unbuttoning, removal of other units and hook-up of support equipment. (I) PIUP - Program Inventory Usage Period. Operational service life in

  6. Flightspeed Integral Image Analysis Toolkit

    Science.gov (United States)

    Thompson, David R.

    2009-01-01

    The Flightspeed Integral Image Analysis Toolkit (FIIAT) is a C library that provides image analysis functions in a single, portable package. It provides basic low-level filtering, texture analysis, and subwindow descriptor for applications dealing with image interpretation and object recognition. Designed with spaceflight in mind, it addresses: Ease of integration (minimal external dependencies) Fast, real-time operation using integer arithmetic where possible (useful for platforms lacking a dedicated floatingpoint processor) Written entirely in C (easily modified) Mostly static memory allocation 8-bit image data The basic goal of the FIIAT library is to compute meaningful numerical descriptors for images or rectangular image regions. These n-vectors can then be used directly for novelty detection or pattern recognition, or as a feature space for higher-level pattern recognition tasks. The library provides routines for leveraging training data to derive descriptors that are most useful for a specific data set. Its runtime algorithms exploit a structure known as the "integral image." This is a caching method that permits fast summation of values within rectangular regions of an image. This integral frame facilitates a wide range of fast image-processing functions. This toolkit has applicability to a wide range of autonomous image analysis tasks in the space-flight domain, including novelty detection, object and scene classification, target detection for autonomous instrument placement, and science analysis of geomorphology. It makes real-time texture and pattern recognition possible for platforms with severe computational restraints. The software provides an order of magnitude speed increase over alternative software libraries currently in use by the research community. FIIAT can commercially support intelligent video cameras used in intelligent surveillance. It is also useful for object recognition by robots or other autonomous vehicles

  7. Measuring and analysis of competition intensity in the sugar market in Serbia

    Directory of Open Access Journals (Sweden)

    Krstić Bojan

    2016-01-01

    Full Text Available Competition intensity is an important factor of social welfare in all market economies. The purpose of this paper is to establish a methodological framework for measuring and analyzing competition intensity in the sugar market in Serbia. There are several indicators of competition intensity that are used in market analysis. Results obtained by these indicators provide a good basis for objective, unbiased, and to some extent standardized reasoning and identification of anti-competitive behavior. The study is made by using descriptive statistics, comparative and correlation analysis. The results of the measurement of competition intensity in the sugar market in Serbia show significant problems in the process of establishing an efficient market economy in the Republic of Serbia. The paper is useful to the competition authority, providing significant findings of competitive conditions in the sugar market in Serbia, but also to the researchers in the field of market analysis, by providing them with an applicable methodological framework for measuring and analyzing competition intensity in the markets of other products in complex process industries.

  8. A methodology for the analysis and improvement of a firm´s competitiveness

    Directory of Open Access Journals (Sweden)

    Jose Celso Contador

    2006-01-01

    Full Text Available This paper presents a new methodology for the analysis of a group of companies, aiming at explaining and increasing a firm´s competitiveness. Based on the model of the fields and weapons of the competition, the methodology distinguishes between business and operational competitive strategies. The first consists of some of the 15 fields of the competition, and the latter consists of the weapons of the competition. Competitiveness is explained through the application of several mathematical variables. The influence of the competitive strategies is statistically evaluated using the Wilcoxon-Mann-Whitney non-parametric test, the t-test, and Pearson´s correlation. The methodology was applied to companies belonging to the textil e pole of Americana; one of the conclusions reached is that what explains competitiveness is the operational strategy rather than the business strategy. Therefore, to improve competitiveness, a company must intensify its focus on weapons that are relevant to the fields where it decided to compete.

  9. Shape analysis in medical image analysis

    CERN Document Server

    Tavares, João

    2014-01-01

    This book contains thirteen contributions from invited experts of international recognition addressing important issues in shape analysis in medical image analysis, including techniques for image segmentation, registration, modelling and classification, and applications in biology, as well as in cardiac, brain, spine, chest, lung and clinical practice. This volume treats topics such as, anatomic and functional shape representation and matching; shape-based medical image segmentation; shape registration; statistical shape analysis; shape deformation; shape-based abnormity detection; shape tracking and longitudinal shape analysis; machine learning for shape modeling and analysis; shape-based computer-aided-diagnosis; shape-based medical navigation; benchmark and validation of shape representation, analysis and modeling algorithms. This work will be of interest to researchers, students, and manufacturers in the fields of artificial intelligence, bioengineering, biomechanics, computational mechanics, computationa...

  10. APPLYING CHAOTIC IMPERIALIST COMPETITIVE ALGORITHM FOR MULTI-LEVEL IMAGE THRESHOLDING BASED ON KAPUR’S ENTROPY

    Directory of Open Access Journals (Sweden)

    Maryam Rouhani Nejad

    2016-03-01

    Full Text Available Segmentation is one of the most important operations in image processing and computer vision. Normally, all image processing and computer vision applications are related to segmentation as a pre-processing phase. Image thresholding is one of the most useful methods for image segmentation. Various methods have been represented for image thresholding. One method is Kapur thresholding, which is based on maximizing entropy criterion. In this study, a new meta-heuristic algorithm based on imperialist competition algorithm was proposed for multi-level thresholding based on Kapur's entropy. Also, imperialist competitive algorithm is combined with chaotic functions to enhance search potency in problem space. The results of the proposed method have been compared with particle optimization algorithm and genetic algorithm. The findings revealed that the proposed method was superior to other methods.

  11. Bifurcation Analysis of Equilibria in Competitive Logistic Networks with Adaptation

    Science.gov (United States)

    Raimondi, A.; Tebaldi, C.

    2008-04-01

    A general n-node network is considered for which, in absence of interactions, each node is governed by a logistic equation. Interactions among the nodes take place in the form of competition, which also includes adaptive abilities through a (short term) memory effect. As a consequence the dynamics of the network is governed by a system of n2 nonlinear ordinary differential equations. As a first step, equilibria and their stability are investigated analytically for the general network in dependence of the relevant parameters, namely the strength of competition, the adaptation rate and the network size. The existence of classes of invariant subspaces, related to symmetries, allows the introduction of a reduced model, four dimensional, where n appears as a parameter, which give full account of existence and stability for the equilibria in the network.

  12. Analysis of the Competition and Fusion between the Words and Pictures in the Era of Images%论读图时代下新闻图片与文字的竞合关系

    Institute of Scientific and Technical Information of China (English)

    郗璨璨

    2012-01-01

    Along with the social development and media technology progress, the way of people" s reading has quietly gone into the Era of Images. Picture as a way of obtaining information has become a times fea- ture of cultural works, meanwhile, pictures is playing a more and more important role in the life of peo- ple. At the same time, pictures also have a strong impact off position of the words, while the coming of Era of Images does not mean abandoning the words. The relationship between the words and pictures be- came abnormal and complex, competed and collaborated. Constructing harmonious state of words and pic- tures can promote the communication of information and the progress of social civilization.%随着社会不断发展,媒介技术不断进步,当今人们的阅读方式已悄然进入了读图时代。图片这一获知信息的方式已经成为具有时代特征的文化范式,并对人们的现代生活发挥着越来越重要的作用。读图时代的兴起无疑强烈冲击着文字的占据性地位,但读图时代的盛行并不意味着对文字的摒弃,对思想内涵的放逐。文字与图像之间的关系在读图时代下变得异常的纷繁复杂,两者既竞争博弈又融合互动。只有建构和谐共生的图文关系,才能促进信息传播与交流的最大化,推动社会文明的进步。

  13. Errors from Image Analysis

    Energy Technology Data Exchange (ETDEWEB)

    Wood, William Monford [Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

    2015-02-23

    Presenting a systematic study of the standard analysis of rod-pinch radiographs for obtaining quantitative measurements of areal mass densities, and making suggestions for improving the methodology of obtaining quantitative information from radiographed objects.

  14. Basic image analysis and manipulation in ImageJ.

    Science.gov (United States)

    Hartig, Sean M

    2013-01-01

    Image analysis methods have been developed to provide quantitative assessment of microscopy data. In this unit, basic aspects of image analysis are outlined, including software installation, data import, image processing functions, and analytical tools that can be used to extract information from microscopy data using ImageJ. Step-by-step protocols for analyzing objects in a fluorescence image and extracting information from two-color tissue images collected by bright-field microscopy are included.

  15. Document image analysis: A primer

    Indian Academy of Sciences (India)

    Rangachar Kasturi; Lawrence O’Gorman; Venu Govindaraju

    2002-02-01

    Document image analysis refers to algorithms and techniques that are applied to images of documents to obtain a computer-readable description from pixel data. A well-known document image analysis product is the Optical Character Recognition (OCR) software that recognizes characters in a scanned document. OCR makes it possible for the user to edit or search the document’s contents. In this paper we briefly describe various components of a document analysis system. Many of these basic building blocks are found in most document analysis systems, irrespective of the particular domain or language to which they are applied. We hope that this paper will help the reader by providing the background necessary to understand the detailed descriptions of specific techniques presented in other papers in this issue.

  16. Pocket pumped image analysis

    Energy Technology Data Exchange (ETDEWEB)

    Kotov, I.V., E-mail: kotov@bnl.gov [Brookhaven National Laboratory, Upton, NY 11973 (United States); O' Connor, P. [Brookhaven National Laboratory, Upton, NY 11973 (United States); Murray, N. [Centre for Electronic Imaging, Open University, Milton Keynes, MK7 6AA (United Kingdom)

    2015-07-01

    The pocket pumping technique is used to detect small electron trap sites. These traps, if present, degrade CCD charge transfer efficiency. To reveal traps in the active area, a CCD is illuminated with a flat field and, before image is read out, accumulated charges are moved back and forth number of times in parallel direction. As charges are moved over a trap, an electron is removed from the original pocket and re-emitted in the following pocket. As process repeats one pocket gets depleted and the neighboring pocket gets excess of charges. As a result a “dipole” signal appears on the otherwise flat background level. The amplitude of the dipole signal depends on the trap pumping efficiency. This paper is focused on trap identification technique and particularly on new methods developed for this purpose. The sensor with bad segments was deliberately chosen for algorithms development and to demonstrate sensitivity and power of new methods in uncovering sensor defects.

  17. The Elements of Competitive Environment of an Enterprise: A Case of Oligopolic Markets Comparative Analysis

    Directory of Open Access Journals (Sweden)

    Algirdas Krivka

    2011-03-01

    Full Text Available The article raises the problem of the complex analysis of competitive environment of an enterprise, which is considered to be the main source of factors, influencing enterprise‘s strategic behaviour and performance. The elements of competitive environment are derived from “traditional” market structure characteristics, developed by the scholars of classical economics and modern microeconomics, with additional factors coming from industrial organization, theoretical oligopoly models, M. Porter’s five competitive forces and diamond. The developed set of the elements of competitive environment is applied for the comparative analysis of three Lithuanian oligopolic markets. The results obtained confirm the potential for practical application of the developed classification for similar analysis.Article in Lithuanian

  18. Imaging spectroscopy for scene analysis

    CERN Document Server

    Robles-Kelly, Antonio

    2012-01-01

    This book presents a detailed analysis of spectral imaging, describing how it can be used for the purposes of material identification, object recognition and scene understanding. The opportunities and challenges of combining spatial and spectral information are explored in depth, as are a wide range of applications. Features: discusses spectral image acquisition by hyperspectral cameras, and the process of spectral image formation; examines models of surface reflectance, the recovery of photometric invariants, and the estimation of the illuminant power spectrum from spectral imagery; describes

  19. Competitive Pressure and Job Interview Lying: A Game Theoretical Analysis

    OpenAIRE

    Midjord, Rune

    2012-01-01

    We consider a job contest in which candidates go through interviews (cheap talk) and are subject to reference checks. We show how competitive pressure - increasing the ratio of "good" to "bad" type candi- dates - can lead to a vast increase in lying and in some cases make bad hires more likely. As the number of candidates increases, it becomes harder to in- duce truth-telling. The interview stage becomes redundant if the candidates, a priori, know each others' type or the result of their own ...

  20. Possibility of Strategic Alliance from Competition:A Game Analysis

    Institute of Scientific and Technical Information of China (English)

    张树义; 陈彦茹

    2004-01-01

    The possibility for two competitive firms to form a strategic alliance was quantitatively analyzed with the game theory. The strategic alliance could be formed in an infinitely repeated game with complete information or a finitely repeated game with incomplete information. In the former situation, the discount ratio is important. If the discount ratio is large enough, alliance would be a possible solution. In the latter situation, the bigger the possibility of the rationality is, the more possible is for both firms to make strategic alliance.

  1. Multivariate image analysis in biomedicine.

    Science.gov (United States)

    Nattkemper, Tim W

    2004-10-01

    In recent years, multivariate imaging techniques are developed and applied in biomedical research in an increasing degree. In research projects and in clinical studies as well m-dimensional multivariate images (MVI) are recorded and stored to databases for a subsequent analysis. The complexity of the m-dimensional data and the growing number of high throughput applications call for new strategies for the application of image processing and data mining to support the direct interactive analysis by human experts. This article provides an overview of proposed approaches for MVI analysis in biomedicine. After summarizing the biomedical MVI techniques the two level framework for MVI analysis is illustrated. Following this framework, the state-of-the-art solutions from the fields of image processing and data mining are reviewed and discussed. Motivations for MVI data mining in biology and medicine are characterized, followed by an overview of graphical and auditory approaches for interactive data exploration. The paper concludes with summarizing open problems in MVI analysis and remarks upon the future development of biomedical MVI analysis.

  2. Competitive Analysis of Two Special Online Device Replacement Problems

    Institute of Scientific and Technical Information of China (English)

    Chun-Lin Xin; Wei-Min Ma; Lei Yang

    2008-01-01

    When a new investment opportunity of purchasing a new device occurs, the investors must decide whether or not and when to buy this device in an online fashion. That is, the online player must make an investment decision while neither future demand for orders nor future investment opportunities are known. This problem which generalizes the basic leasing problem has been introduced by Azar et al., and then two special cases have been studied by Damaschke. In the so-called equal prices model a 2-competitive algorithm is devised and a 1.618 lower bound is given. Here we make use of an averaging technique and obtain a better tight lower bound of 2, in other words, this lower bound cannot be improved. Furthermore, another special ease which only considers two-stage device replacement is studied in this paper. Accounting for the interest rate is an essential feature of any reasonable financial model. Therefore, we explore the two-stage model with and without the interest rate respectively. In addition, we introduce the risk-reward model to analyze this problem and improve the competitive ratio performance.

  3. Quantitative histogram analysis of images

    Science.gov (United States)

    Holub, Oliver; Ferreira, Sérgio T.

    2006-11-01

    A routine for histogram analysis of images has been written in the object-oriented, graphical development environment LabVIEW. The program converts an RGB bitmap image into an intensity-linear greyscale image according to selectable conversion coefficients. This greyscale image is subsequently analysed by plots of the intensity histogram and probability distribution of brightness, and by calculation of various parameters, including average brightness, standard deviation, variance, minimal and maximal brightness, mode, skewness and kurtosis of the histogram and the median of the probability distribution. The program allows interactive selection of specific regions of interest (ROI) in the image and definition of lower and upper threshold levels (e.g., to permit the removal of a constant background signal). The results of the analysis of multiple images can be conveniently saved and exported for plotting in other programs, which allows fast analysis of relatively large sets of image data. The program file accompanies this manuscript together with a detailed description of two application examples: The analysis of fluorescence microscopy images, specifically of tau-immunofluorescence in primary cultures of rat cortical and hippocampal neurons, and the quantification of protein bands by Western-blot. The possibilities and limitations of this kind of analysis are discussed. Program summaryTitle of program: HAWGC Catalogue identifier: ADXG_v1_0 Program summary URL:http://cpc.cs.qub.ac.uk/summaries/ADXG_v1_0 Program obtainable from: CPC Program Library, Queen's University of Belfast, N. Ireland Computers: Mobile Intel Pentium III, AMD Duron Installations: No installation necessary—Executable file together with necessary files for LabVIEW Run-time engine Operating systems or monitors under which the program has been tested: WindowsME/2000/XP Programming language used: LabVIEW 7.0 Memory required to execute with typical data:˜16MB for starting and ˜160MB used for

  4. Individual analysis the competitive activity indicators of elite swimmer in a distance of 200 m. breaststroke

    Directory of Open Access Journals (Sweden)

    Skyriene V.V.

    2010-07-01

    Full Text Available The analysis of features of competition activity is presented one of the best sportsmen. Basic dignities of competition activity of sportsman there is ability to develop high-rate of swimming of the starting cutting-off, distance and finish cutting-off. The low rate of motions is thus marked at a very long stroke. To failings it is possible to take the enough long stay of sportsman on a starting stand, considerable falling of speed of implementation of turns on motion distance. It is well-proven that a systematic and permanent analysis of competition activity is the important mean of training process control. Information about activity of sportsman on competitions at certain terms can be foundation for raising of purpose and tasks of preparation, choice of facilities and methods of their realization.

  5. Analysis of electricity price in Danish competitive electricity market

    DEFF Research Database (Denmark)

    Hu, Weihao; Chen, Zhe; Bak-Jensen, Birgitte

    2012-01-01

    electricity markets in some ways, is chosen as the studied power system. 10 year actual data from the Danish competitive electricity market are collected and analyzed. The relationship among the electricity price (both the spot price and the regulation price), the consumption and the wind power generation...... in an electricity market is investigated in this paper. The spot price and the regulation price generally decrease when the wind power penetration in the power system increases or the consumption of the power system decreases. The statistical characteristics of the spot price and the regulation price for different...... consumption periods and wind power penetration are analyzed. Simulation results show that the findings of this paper are useful for wind power generation companies to make the optimal bidding strategy so that the imbalance cost of trading wind power on the electricity market could be reduced....

  6. Analysis of trends in ecology factor influencing the macro, meso and microlevels’ systems competitiveness formation

    Directory of Open Access Journals (Sweden)

    T.V. Averihina

    2016-12-01

    Full Text Available The aim of this article. Analysis of trends in ecology factor influencing the macro, meso and microlevels’ systems competitiveness formation Results of the analysis. Trends in the macroeconomic level: as we observe from the correlation analysis’ results for the studied countries, their development reveals a strong statistical association between the global competitiveness index and indicators of the main competitiveness factors. In particular, the correlation coefficients of the global competitiveness index and human development index, GDP per capita, economic transformation and economic freedoms are 0,913; 0,784; 0,917 and 0,830 respectively. These estimates do highlight the fact that the environmental factor (ecological transformation index reveals, along with indexes and indicators of social and economic development, strong statistic relationship with index of global competitiveness. Trends in the meso-economic level: to analyse relationship between environmental factors and competitiveness at the meso-economic (regional systems level, we did estimate the region competitiveness based on the competitive advantage indices using the latest techniques of competitive comparisons. To be noted is that the correlation analysis of the statistical relationship between partial indices of competitive advantages and the integral index of region’s competitiveness, calculated using the new method, revealed about the same level of mutual linkage between economic and ecological factors and the integral indicator, that positively confirming the validity of competitive comparisons’ mechanism used in this study. If at the macroeconomic level studies a central role was played by the environmental transformation index, reflecting the relative equivalent of not only the natural resources availability, but also of environmental condition as a result of environmental protection measures, as well as the effects of improving the natural environment for other

  7. Signal and image multiresolution analysis

    CERN Document Server

    Ouahabi, Abdelialil

    2012-01-01

    Multiresolution analysis using the wavelet transform has received considerable attention in recent years by researchers in various fields. It is a powerful tool for efficiently representing signals and images at multiple levels of detail with many inherent advantages, including compression, level-of-detail display, progressive transmission, level-of-detail editing, filtering, modeling, fractals and multifractals, etc.This book aims to provide a simple formalization and new clarity on multiresolution analysis, rendering accessible obscure techniques, and merging, unifying or completing

  8. Multi-Source Image Analysis.

    Science.gov (United States)

    1979-12-01

    Laboratories, Fort Belvoir, Virginia. Estes, J. E., and L. W. Senger (eds.), 1974, Remote Sensing: Techniques for environmental analysis, Hamilton, Santa ...E. and W. Senger (eds.), Remote Sensing Techniques in Environmental Analysis, Santa Barbara, California, Hamilton Publishing Co., p. 127-165. Morain...The large body of water labeled "W" on each image represents the Agua Hedionda lagoon. East of the lagoon the area is primarily agricultural with a

  9. Teaching image analysis at DIKU

    DEFF Research Database (Denmark)

    Johansen, Peter

    2010-01-01

    The early development of computer vision at Department of Computer Science at University of Copenhagen (DIKU) is briefly described. The different disciplines in computer vision are introduced, and the principles for teaching two courses, an image analysis course, and a robot lab class are outlined....

  10. A Comparative Analysis of Swimming Styles in Competitive Swimming

    Science.gov (United States)

    von Loebbecke, Alfred; Mittal, Rajat; Gupta, Varun; Mark, Russell

    2007-11-01

    High-fidelity numerical simulations are being used to conduct a critical evaluation of swimming strokes in competitive swimming. We combine computational fluid dynamics (CFD), laser body scans, animation software, and video footage to develop accurate models of Olympic level swimmers and use these to examine contrasting styles of the dolphin kick as well as the arm strokes in back and front crawl stroke. In the dolphin kick, the focus is on examining the effects of Strouhal number, kick amplitude, frequency, and technique on thrust production. In the back stroke, we examine the performance of the so called ``flat stroke'' versus the ``deep catch,'' The most important aspect that separates the two major types of back stroke is the alignment or angle of attack of the palm during the stroke. In one style of front crawl arm stroke, there is greater elbow joint flexion, shoulder abduction and sculling whereas the other style consists of a straight arm pull dominated by simple shoulder flexion. Underlying the use of these two styles is the larger and more fundamental issue of the role of lift versus drag in thrust production and we use the current simulations to examine this issue in detail.

  11. Analysis of hotel enterprises competitiveness aspects in modern business

    Directory of Open Access Journals (Sweden)

    Bogetić Srđan

    2015-01-01

    Full Text Available In terms of global competition, which is characterized by constant improvement of existing and the emergence of new tourist destination, tourism is nowdays one of the initiators in development of the national economy. It is important to point out that the relation of tourists toward travelling changed with greater differentiation and the emergence of new market niches. The reason for this relationship lies in the fact that tourists, due to the greater application of information and communication technologies (ICT, have become very well informed about the tourist destinations they visit, their cultural and other facilities, as well as hotels and the services they offer. In order to meet the demands of their customers, hotel companies have to follow market trends and implement new management concepts into their business practices. Hotel companies today take into account not only their customers, but also the society in which they operate. The issue of sustainable development has become the sphere of interest for hotel companies, and they are paying a lot of attention to the following areas: environmental protection, waste management, application of clean technologies and the alike. The ICT applications have a significant role in hotel industries operations since they accelerate communication with customers and also reduce operating costs through the use of different software solutions for accommodation bookings. Nowdays, customers demand quick information and the use of the internet in hotels allows this service.

  12. Effects of competition outcome on testosterone concentrations in humans: An updated meta-analysis.

    Science.gov (United States)

    Geniole, Shawn N; Bird, Brian M; Ruddick, Erika L; Carré, Justin M

    2016-10-06

    A contribution to a special issue on Hormones and Human Competition. Since Archer's (2006) influential meta-analysis, there has been a major increase in the number of studies investigating the effect of competition outcome on testosterone reactivity patterns in humans. Despite this increased research output, there remains debate as to whether competition outcome modulates testosterone concentrations. The present paper examines this question using a meta-analytic approach including papers published over the last 35years. Moreover, it provides the first meta-analytic estimate of the effect of competition outcome on testosterone concentrations in women. Results from a meta-analysis involving 60 effect sizes and >2500 participants indicated that winners of a competition demonstrated a larger increase in testosterone concentrations relative to losers (D=0.20)-an effect that was highly heterogeneous. This 'winner-loser' effect was most robust in studies conducted outside the lab (e.g., in sport venues) (D=0.43); for studies conducted in the lab, the effect of competition outcome on testosterone reactivity patterns was relatively weak (D=0.08), and only found in studies of men (D=0.15; in women: D=-0.04). Further, the 'winner-loser' effect was stronger among studies in which pre-competition testosterone was sampled earlier than (D=0.38, after trim and fill correction) rather than within (D=0.09) 10min of the start of the competition. Therefore, these results also provide important insight regarding study design and methodology, and will be a valuable resource for researchers conducting subsequent studies on the 'winner loser' effect.

  13. Astronomical Image and Data Analysis

    CERN Document Server

    Starck, J.-L

    2006-01-01

    With information and scale as central themes, this comprehensive survey explains how to handle real problems in astronomical data analysis using a modern arsenal of powerful techniques. It treats those innovative methods of image, signal, and data processing that are proving to be both effective and widely relevant. The authors are leaders in this rapidly developing field and draw upon decades of experience. They have been playing leading roles in international projects such as the Virtual Observatory and the Grid. The book addresses not only students and professional astronomers and astrophysicists, but also serious amateur astronomers and specialists in earth observation, medical imaging, and data mining. The coverage includes chapters or appendices on: detection and filtering; image compression; multichannel, multiscale, and catalog data analytical methods; wavelets transforms, Picard iteration, and software tools. This second edition of Starck and Murtagh's highly appreciated reference again deals with to...

  14. ANALYSIS OF INTENSITY OF COMPETITION IN MILK AND MILK PRODUCTS SECTOR IN BULGARIA

    Directory of Open Access Journals (Sweden)

    Radko RADEV

    2013-10-01

    Full Text Available The following paper presents the results of an analysis of the intensity of competition in the milk and milk products sector in Bulgaria. The analysis is performed by adapting the Porter’s five forces model and based on the specific features of the sector concerned. For this purpose the author accepts the industrial concept of interpretation of competition: two levels of consideration of the competition intensity are differentiated - product class as a whole and separate product categories. Although not going into greater depth, the study reports the need of deepening the analysis by individual product groups, price levels and specific segments. The author proposes a methodological framework by which an analysis of the intensity of competition is conducted. Due to volume limitations of the publication, the emphasis of the paper is on the intensity of competition between existing companies; the barriers to enter and exit the sector are also presented; substitute products are marked briefly. The remaining forces from the five forces model are marked without going into details.

  15. Competitive immunoassay for analysis of vitamin B(12).

    Science.gov (United States)

    Selva Kumar, L Sagaya; Thakur, M S

    2011-11-15

    In the current work, direct competitive enzyme-linked immunosorbent assay (ELISA) was developed for derivatized vitamin B(12) by generating chicken egg yolk immunoglobulins (IgY) against derivatized vitamin B(12) and purified using affinity chromatography. Checkerboard assay was performed with vitamin B(12) antibody and vitamin B(12)-alkaline phosphatase conjugate followed by its conjugate characterization using ultraviolet (UV) spectroscopy and high-performance liquid chromatography (HPLC). The limit of detection was 10 ng/ml with a linear working range of 10 to 10,000 ng/ml. The affinity constant (K(a)) of the vitamin B(12) antibody was found to be 4.23×10(8) L/mol. Cross-reactivity with other water-soluble vitamins was found to be less than 0.01% except for analogs of vitamin B(12) that showed 12% to 35%. The intra- and interassay coefficients of variation were found to be in the ranges from 0.0005% to 1.2% and 0.009% to 1.03%, respectively. The assay was validated with the HPLC method in terms of sensitivity, specificity, precision, and recovery of vitamin B(12) with spiked multivitamin injections, tablets, capsules, and chocolates. The HPLC method had a detection limit of 500 ng/ml with a linear working range of 1000 to 10,000 ng/ml. After extraction of vitamin B(12) using Amberlite XAD, the developed ELISA method correlated well with the established HPLC method with a correlation coefficient of 0.90.

  16. Automated image analysis techniques for cardiovascular magnetic resonance imaging

    NARCIS (Netherlands)

    Geest, Robertus Jacobus van der

    2011-01-01

    The introductory chapter provides an overview of various aspects related to quantitative analysis of cardiovascular MR (CMR) imaging studies. Subsequently, the thesis describes several automated methods for quantitative assessment of left ventricular function from CMR imaging studies. Several novel

  17. IMAGE AS A TOOL OF DEVELOPMENT OF A SOCIAL PARTNERSHIP SYSTEM AND A SUPPLYING COMPETITIVENESS OF THE UNIVERSITY

    Directory of Open Access Journals (Sweden)

    Konstantin V. Kovtsev

    2013-01-01

    Full Text Available The article presents the main components of the university’s image as a tool of social partnership development. It focuses on the issues of forming a positive image of the university. The most preferable approaches to image formation are identified. It is proposed to consider the system of social partnership as a specific translator for opinions about the institution that transfers from partners and individuals, who are accepted for internal affairs of the university’s activities due to partner structures on a general public and consumer audience of high school. The author offers to improve the image of university developed of social partnership. The university’s activities for development of its brand which can be implemented by using the approaches described in the paper are considered. The article contains developed image-building mechanisms which make it possible to get bonuses for participation in the partnership structure by partners and which promote the competitiveness of the university.

  18. VALUE CHAIN ANALYSIS OF BROILER TO INCREASE COMPETITIVENESS (Case Study at PT. Charoen Pokphand Indonesia, Tbk

    Directory of Open Access Journals (Sweden)

    Surip Prayugo

    2012-09-01

    Full Text Available The objectives of this research are to (1 map the value chain in broiler at PT. Charoen Pokphand Indonesia, Tbk (CPI; (2 analyze the value chain governance in broiler at CPI; (3 analyze the margin of marketing at broiler industry both on farm or off farm; (3 analyze the gap between the expectation and the performance of consumers (farmers upon using products of CPI and (4 recognize factors influencing competitiveness in broiler industry; and (5 to formulate strategy for value chain upgrading at CPI in order to increase competitiveness of broiler. As revealed by the value chain analysis, the role of CPI in this value chain is highly significant. All poultry inputs (DOC, feed, veterinary medicine, and poultry equipments are supplied by CPI. As for downstream sector, CPI processes broiler into its derivatives. The type of value chain governance between feed supplier, DOC, and veterinary medicine, poultry equipment, and poultry derivates belongs to market value chain. Whereas the type of value chain governance between carcass supplier and restaurant belongs to captive value chain. Based on the margin of marketing analysis, the party that gains the lowest margin is farmer and the party that receives the highest margin is the processor. In gap analysis, the lowest attribute of competitiveness is the feed spending and the highest attribute is the spending on veterinary medicine for two months. Factors that influence the competitiveness in poultry industry are condition, demand, industry competition, main industries and supporting industries, and government’s role.Keywords: Value Chain, Competitiveness, Broiler, PT. Charoen Pokphand Indonesia, Tbk, Margin of Marketing Analysis, Gap Analysis, SWOT Analysis

  19. Competitive intelligence and patent analysis in drug discovery.

    Science.gov (United States)

    Grandjean, Nicolas; Charpiot, Brigitte; Pena, Carlos Andres; Peitsch, Manuel C

    2005-01-01

    Patents are a major source of information in drug discovery and, when properly processed and analyzed, can yield a wealth of information on competitors activities, R&D trends, emerging fields, collaborations, among others. This review discusses the current state-of-the-art in textual data analysis and exploration methods as applied to patent analysis.:

  20. Image analysis in medical imaging: recent advances in selected examples

    Science.gov (United States)

    Dougherty, G

    2010-01-01

    Medical imaging has developed into one of the most important fields within scientific imaging due to the rapid and continuing progress in computerised medical image visualisation and advances in analysis methods and computer-aided diagnosis. Several research applications are selected to illustrate the advances in image analysis algorithms and visualisation. Recent results, including previously unpublished data, are presented to illustrate the challenges and ongoing developments. PMID:21611048

  1. Intelligence analysis – the royal discipline of Competitive Intelligence

    National Research Council Canada - National Science Library

    Bartes, František

    ... cycle’s specific area, in the so-called “Intelligence Analysis”. Intelligence Analysis is one of the stages of the Intelligence Cycle in which data from both the primary and secondary research are analyzed...

  2. 竞争战略的信息需求博弈%Analysis of Information Demand of Competitive Strategy with Game Theory

    Institute of Scientific and Technical Information of China (English)

    陈敏

    2003-01-01

    Competitive strategy programming is an important content of competitive intelligence research. It needs to analyzes the information about competitive environment, competitive force and competitors with game theory. Any organi-zation, region or country, wishing to keep sustained development, needs to make such analysis in order to formulate com-petitive strategies for itself.

  3. Mesh Processing in Medical Image Analysis

    DEFF Research Database (Denmark)

    The following topics are dealt with: mesh processing; medical image analysis; interactive freeform modeling; statistical shape analysis; clinical CT images; statistical surface recovery; automated segmentation; cerebral aneurysms; and real-time particle-based representation....

  4. Mesh Processing in Medical Image Analysis

    DEFF Research Database (Denmark)

    The following topics are dealt with: mesh processing; medical image analysis; interactive freeform modeling; statistical shape analysis; clinical CT images; statistical surface recovery; automated segmentation; cerebral aneurysms; and real-time particle-based representation.......The following topics are dealt with: mesh processing; medical image analysis; interactive freeform modeling; statistical shape analysis; clinical CT images; statistical surface recovery; automated segmentation; cerebral aneurysms; and real-time particle-based representation....

  5. A Competitive Strategic Position Analysis of Major Container Ports in Southeast Asia

    Directory of Open Access Journals (Sweden)

    Viet Linh Dang

    2017-03-01

    Full Text Available The importance of planning strategies to achieve higher competitiveness has become more apparent in the context of seaports since seaports have been encountering quickly changing and highly competitive business environments. Therefore, the strategic competitive position of seaports needs to be investigated using strategic positioning methods. The purpose of this study was to analyze the competitive positions of the top 20 container ports of five countries in the Association of Southeast Asian Nations (ASEAN-5 in six years from 2009 to 2014 using dynamic portfolio analysis. This study aims to fill the gap in research on the competitive strategic position and analysis of Southeast Asian container ports in order to allow seaport operators to visualize the position and progress of selected ports as well as to predict the future development possibilities of seaports. The findings revealed effective operations at the following ports that retained their dominant positions during the duration of the study: Port Klang, Tanjung Pelepas (Malaysia, Manila (the Philippines, Laem Chabang (Thailand, and Tan Cang Sai Gon (Vietnam. However, findings revealed a common deterioration at other ports studied.

  6. Competitive Importance Performance Analysis (CIPA: An Illustration from Thermal Tourism Destinations

    Directory of Open Access Journals (Sweden)

    Emre Erbaş

    2015-10-01

    Full Text Available This paper introduces a syntheses of traditional Importance-Performance Analysis and Analytical Hierarchy Process under the name of Competitive Importance-Performance Analysis (CIPA, to empower managers to make better decisions in creating competitive advantage. A questionnaire of a Turkish thermal tourism destination is utilized to illustrate the execution of the proposed approach. The results of the current case study illustrate the practicability and supplementary insights of specifying the priorities of attributes through the proposed approach for gaining competitive advantage. The results suggested that, from the expert’s perspective, plentiful natural hot springs, sound local transportation network, availability of sufficient accommodation, hygiene standards for hot springs spa equipment, public interest in health-leisure activities are important factors shaping the competitiveness of thermal tourism destinations. Therefore, thermal tourism destinations in Turkey might focus more on these attributes to gain competitive advantage. Moreover, increase in visitors seeking for health-oriented leisure time is increasing and hence the future of Turkish thermal tourism seems encouraging. Hence, the adapted undertakings will be required by augmenting the core thermal tourism product to reach the competitors.

  7. PROTONEGOCIATIONS - SALES FORECAST AND COMPETITIVE ENVIRONMENT ANALYSIS METHOD

    Directory of Open Access Journals (Sweden)

    Lupu Adrian Gelu

    2009-05-01

    Full Text Available Protonegotiation management, as part of successful negotiations of the organizations, is an issue for analysis extremely important for today’s managers in the confrontations generated by the changes of the environments in the period of transition to marke

  8. Bibliometrics-based analysis on competitive intelligence in China

    Institute of Scientific and Technical Information of China (English)

    QIU; Junping; SU; Jinyan

    2008-01-01

    By applying to the theories and methodologies on informetrics,the authors collected the statistical data of relevant published articles,and then made some analysis including the prolific authors community,the long tail distribution of authors,and the disciplinary distribution of the published articles.To conclude,some development trends and suggestions were put forward for the reference.

  9. An industry analysis of the MBA market and the competitive positioning of the GSBPP

    OpenAIRE

    Hager, Garrett W.; King, Thomas T.

    2007-01-01

    MBA Professional Report The purpose of this Master of Business Administration (MBA) project is to perform an industry analysis of the MBA market utilizing the principles of industry analysis noted in Michael Porter's "Five Force Analysis" model. The intent of this project is to create an awareness of how these competitive forces shape the MBA market, define the relationships between stakeholders within the marlet, and affect its overall attractiveness of the MBA market. The goal is to pr...

  10. Global Carbon Fiber Composites Supply Chain Competitiveness Analysis

    Energy Technology Data Exchange (ETDEWEB)

    Sujit Das, Josh Warren, Devin West, Susan M. Schexnayder

    2016-05-01

    This analysis identifies key opportunities in the carbon fiber supply chain where resources and investments can help advance the clean energy economy. The report focuses on four application areas — wind energy, aerospace, automotive, and pressure vessels — that top the list of industries using carbon fiber and carbon fiber reinforced polymers. For each of the four application areas, the report addresses the supply and demand trends within that sector, supply chain, and costs of carbon fiber and components.

  11. Statistical, ecosystems and competitiveness analysis of the media and content industries : A quantitative overview

    NARCIS (Netherlands)

    Simon, J.P.; Leurdijk, A.G.D.; Munck, S.G.E. de; Broek, T.A. van den; Plas, A.P. van der; Manshanden, W.J.J.; Rietveld, E.

    2012-01-01

    This report offers an in-depth analysis of the major economic developments in the music industry. It looks at music companies, and covers the production and distribution of recorded music, including online distribution, and the competition which these companies face from other online music providers

  12. Statistical, ecosystems and competitiveness analysis of the media and content industries : The Music Industry

    NARCIS (Netherlands)

    Simon, J.P.; Leurdijk, A.G.D.; Nieuwenhuis, O.A.

    2012-01-01

    This report offers an in-depth analysis of the major economic developments in the music industry. It looks at music companies, and covers the production and distribution of recorded music, including online distribution, and the competition which these companies face from other online music providers

  13. Statistical, ecosystems and competitiveness analysis of the media and content industries : The Newspaper Publishing Industry

    NARCIS (Netherlands)

    Simon, J.P.; Leurdijk, A.G.D.; Slot, M.; Nieuwenhuis, O.A.

    2012-01-01

    This report offers an in-depth analysis of the major economic developments in the music industry. It looks at music companies, and covers the production and distribution of recorded music, including online distribution, and the competition which these companies face from other online music providers

  14. A Study of the Comprehensive Urban Competitiveness Based On Principal Component Analysis

    Institute of Scientific and Technical Information of China (English)

    Rifeng; HE; Chunxiang; ZHAO

    2015-01-01

    This paper studies the comprehensive urban competitiveness and performs the principal component analysis. The results show that the comprehensive evaluation of urban competitiveness is not entirely dependent on the city’s economic strength or GDP,and it is necessary to consider from resource allocation capacity,openness and public service capacity. By selecting various data concerning 11 prefecture-level cities in Jiangxi Province in 2006,2009 and 2012,this paper gets the ranking results and analyzes trends,to provide a basis for making future economic policy.

  15. On-Line Booking Policies and Competitive Analysis of Medical Examination in Hospital

    Directory of Open Access Journals (Sweden)

    Li Luo

    2014-01-01

    Full Text Available From the on-line point, we consider the hospital’s medical examination appointment problem with hierarchical machines. This approach eliminates the need for both demand forecasts and a risk-neutrality assumption. Due to different unit revenue, uncertain demand, and arrival of patients, we design on-line booking policies for two kinds of different situations from the perspective of on-line policy and competitive analysis. After that, we prove the optimal competitive ratios. Through numerical examples, we compare advantages and disadvantages between on-line policies and traditional policies, finding that there is different superiority for these two policies under different arrival sequences.

  16. Individual analysis the competitive activity indicators of elite swimmer in a distance of 200 m. breaststroke

    OpenAIRE

    Skyriene V.V.

    2010-01-01

    The analysis of features of competition activity is presented one of the best sportsmen. Basic dignities of competition activity of sportsman there is ability to develop high-rate of swimming of the starting cutting-off, distance and finish cutting-off. The low rate of motions is thus marked at a very long stroke. To failings it is possible to take the enough long stay of sportsman on a starting stand, considerable falling of speed of implementation of turns on motion distance. It is well-pro...

  17. Modeling and Analysis of Wholesale Competitive Electricity Markets: A Case For Zambia

    Directory of Open Access Journals (Sweden)

    E. Moyo,

    2015-07-01

    Full Text Available Electricity markets all over the world are moving towards greater reliance on competition and this has become a global trend as a method of best practice. However, before competition is introduced in electricity markets it is imperative to model and assess the behavior of the market. The assessment includes calculating the market performance indices to determine the levels of market power exploitation by the Generating Companies (GenCos that will participate in the market. This paper presents a study on modeling and analysis of wholesale competitive electricity market for a developing country to help regulators assess and predict market behaviour. It involves modeling and simulation of the Zambian power system network in Agent-Based Modeling of Electricity Systems (AMES using real system data to pick out critical information that enables us to assess the status of the market. The results indicate that market power exploitation is prevalent for the two largest GenCos assessed.

  18. A Trend Analysis of Competition Positioning in Chinese Seaports by Using DEA Model and BCG Matrix

    Institute of Scientific and Technical Information of China (English)

    Hoki Nam

    2007-01-01

    <正>This paper has shown the trend of competition positioning of ten critical Chinese seaports from 2003 to 2006 by using DEA model for the performance efficiency analysis and BCG matrix,which consists of relative market share and growth rate as well as the scores of both BCC and CCR in the vertical and horizontal axis of BCG matrix.The expected results will include the total economic efficiency ranking of each Chinese seaport,and the relative competitive positioning in terms of growth rate and efficiency scores.The main policy implication of this paper is to emphasize the DEA model and BCG matrix method can support the seaport managers the basic information for planning the future port management for enhancing the competitive positioning among Chinese seaports.

  19. Analysis Influence of Proactivity Power Business, Market Orientation, and Competitive Advantage toward Marketing Performance

    Directory of Open Access Journals (Sweden)

    Lili Karmela Fitriani

    2016-02-01

    Full Text Available This research is an empirical study on Batik SMEs (Small Medium Enterprises in Cirebon District, West Java. This study analyzes the effect of proactivity power business, market orientation, and competitive advantage towards marketing performance. The subjects of this research were 215 Batik SMEs in Cirebon District West Java. The analysis was done using Structural Equation Modeling (SEM, AMOS ver. 18. The result shows that proactivity power business, market orientation, and competitive advantage give positive influence on marketing performance of  Batik SMEs. The research implication is when SME businesses focus on the effort in improving their proactivity power business and competitive advantage, it will give positive impact on marketing performance. Other research finding reveals that  the orientation of customer and orientation of competitor have some effects on marketing performance. In addition, SME businesses should know what customers want and they should be able to identify their competitors in order to improve their marketing performance.

  20. Competitiveness Analysis of Processing Industry Cluster of Livestock Products in Inner Mongolia Based on "Diamond Model"

    Institute of Scientific and Technical Information of China (English)

    YANG Xing-long; REN Ya-tong

    2012-01-01

    Using Michael Porter’s "diamond model", based on regional development characteristics, we conduct analysis of the competitiveness of processing industry cluster of livestock products in Inner Mongolia from six aspects (the factor conditions, demand conditions, corporate strategy, structure and competition, related and supporting industries, government and opportunities). And we put forward the following rational recommendations for improving the competitiveness of processing industry cluster of livestock products in Inner Mongolia: (i) The government should increase capital input, focus on supporting processing industry of livestock products, and give play to the guidance and aggregation effect of financial funds; (ii) In terms of enterprises, it is necessary to vigorously develop leading enterprises, to give full play to the cluster effect of the leading enterprises.

  1. Analysis of competition performance in dressage and show jumping of Dutch Warmblood horses.

    Science.gov (United States)

    Rovere, G; Ducro, B J; van Arendonk, J A M; Norberg, E; Madsen, P

    2016-12-01

    Most Warmblood horse studbooks aim to improve the performance in dressage and show jumping. The Dutch Royal Warmblood Studbook (KWPN) includes the highest score achieved in competition by a horse to evaluate its genetic ability of performance. However, the records collected during competition are associated with some aspects that might affect the quality of the genetic evaluation based on these records. These aspects include the influence of rider, censoring and preselection of the data. The aim of this study was to quantify the impact of rider effect, censoring and preselection on the genetic analysis of competition data of dressage and show jumping of KWPN. Different models including rider effect were evaluated. To assess the impact of censoring, genetic parameters were estimated in data sets that differed in the degree of censoring. The effect of preselection on variance components was analysed by defining a binary trait (sport-status) depending on whether the horse has a competition record or not. This trait was included in a bivariate model with the competition trait and used all horses registered by KWPN since 1984. Results showed that performance in competition for dressage and show jumping is a heritable trait (h(2) ~ 0.11-0.13) and that it is important to account for the effect of rider in the genetic analysis. Censoring had a small effect on the genetic parameter for highest performance achieved by the horse. A moderate heritability obtained for sport-status indicates that preselection has a genetic basis, but the effect on genetic parameters was relatively small.

  2. Features of Evaluating the Enterprise Tax Competitiveness Using the Hierarchy Analysis Method

    Directory of Open Access Journals (Sweden)

    Didyk Andrii M.

    2016-02-01

    Full Text Available The aim of the article is substantiating the provisions on the evaluation of the enterprise tax competitiveness using the hierarchy analysis method to identify the initial tax position of the business entity and the level of the “gap” between the actual state of its tax system and opportunities of the external tax environment. There have been proved a fragmentary character of developments in this area, which can be explained mainly by the novelty of the research object. The arguments in favor of feasibility of using the hierarchy analysis method to solve the problem of evaluating the level of the enterprise tax competitiveness have been presented. The generalized sequence for evaluating such competitiveness has been presented, which provides for the implementation of a number of stages: the formation of an expert group and organization of its work; statement of the problem and its structuring in the form of a hierarchy; diagnosis of the enterprise tax system according to specified parameters; identification of opportunities of external tax environment; comparison of the current enterprise tax system with opportunities of the external tax environment by building a matrix of pairwise comparisons; determination of eigenvectors and their normalized estimates for each pairwise comparison matrix in order to obtain priority vectors; evaluation of consistency of the pairwise comparison of matrices; building of the generalized priority vector; formation of conclusions and recommendations. The detailed description of each of these stages has been given. Application of the provisions on the evaluation of the enterprise tax competitiveness on the example of JSC “Drogobych truck crane plant” has been considered. It has been concluded that the level of the enterprise tax competitiveness is significantly lower than the opportunity of the external tax environment (generalized by 34,6 %. This is despite the fact that in termsof some parameters of

  3. High-resolution image analysis.

    Science.gov (United States)

    Preston, K

    1986-01-01

    In many departments of cytology, cytogenetics, hematology, and pathology, research projects using high-resolution computerized microscopy are now being mounted for computation of morphometric measurements on various structural components, as well as for determination of cellular DNA content. The majority of these measurements are made in a partially automated, computer-assisted mode, wherein there is strong interaction between the user and the computerized microscope. At the same time, full automation has been accomplished for both sample preparation and sample examination for clinical determination of the white blood cell differential count. At the time of writing, approximately 1,000 robot differential counting microscopes are in the field, analyzing images of human white blood cells, red blood cells, and platelets at the overall rate of about 100,000 slides per day. This mammoth through-put represents a major accomplishment in the application of machine vision to automated microscopy for hematology. In other areas of automated high-resolution microscopy, such as cytology and cytogenetics, no commercial instruments are available (although a few metaphase-finding machines are available and other new machines have been announced during the past year). This is a disappointing product, considering the nearly half century of research effort in these areas. This paper provides examples of the state of the art in automation of cell analysis for blood smears, cervical smears, and chromosome preparations. Also treated are new developments in multi-resolution automated microscopy, where images are now being generated and analyzed by a single machine over a range of 64:1 magnification and from 10,000 X 20,000 to 500 X 500 in total picture elements (pixels). Examples of images of human lymph node and liver tissue are presented. Semi-automated systems are not treated, although there is mention of recent research in the automation of tissue analysis.

  4. An analysis on the short-term sectoral competitiveness impact of carbon tax in China

    Energy Technology Data Exchange (ETDEWEB)

    Wang Xin, E-mail: xin.wang@iddri.org [Institute for Sustainable Development and International Relations (IDDRI), Sciences Po Paris, 27 rue Saint-Guillaume, 75337 Paris Cedex 07 (France); Laboratoire Economie Quantitative Integration Politiques Publiques Econometrie (EQUIPPE), University of Lille 1, Universite des Sciences et Technologies de Lille, Cite Scientifique, Faculte d' Economie et de Sciences Sociales, Batiment SH2 - 59655 Villeneuve d' Ascq Cedex (France); Li Ji Feng, E-mail: lijf@mx.cei.gov.cn [Department of Economic Forecasting, State Information Center of China (China); Zhang Yaxiong, E-mail: zhangyx@mx.cei.gov.cn [Department of Economic Forecasting, State Information Center of China (China)

    2011-07-15

    Market-based instruments, particularly carbon tax, have recently drawn the attention of Chinese government by their cost-effective contribution to the achievement of China's climate targets. Most of the recent policy proposals have focused on its long-term impact. However, particularly for policy makers, both long term and short term effects of carbon tax would be necessary when determining tax rates. We provided a detailed analysis of short-term impacts of carbon tax on sectoral competitiveness in this paper. We divided China's economy into 36 sectors, based on its 2007 input-output table, in order to examine the ratio of carbon tax added costs to sector GDP. We were thus able to determine the impact level of a carbon tax on each sector. We then divided the sectoral trade impact into domestic competitiveness with regards to foreign imported products and international competitiveness external to the Chinese domestic market. We found that a high tax level (100 yuan/t CO{sub 2}) may necessitate compensatory measures to certain highly affected industries, and that a low tax rate (10 yuan/t CO{sub 2}) would generate few competitiveness problems for all industries and may therefore be considered as an appropriate starting point. - Highlights: > We study short-term sectoral competitiveness impact of carbon tax in China. > For each sector, we study its carbon cost, GDP share and trade intensity. > A high rate (100 yuan/t CO{sub 2}) may require compensatory measures to certain industries. > A low rate (10 yuan/t CO{sub 2}) would generate few competitiveness problems.

  5. Industrial Structure and Competitive Strength of 31 Provincial Districts——A GIS-based Dynamic Shift-Share Analysis

    Institute of Scientific and Technical Information of China (English)

    2011-01-01

    By using the dynamic shift-share analysis, the industrial structure and competitive strength of 31 provincial districts except Taiwan, Hong Kong and Macau are studied by taking the GDP of the three industries as the research entrance and the whole nation as the reference district. The industrial structure and competitive strength of each provincial district is measured. Through the analysis of pertinence, the correlation degree of industrial structure and industrial competitive strength to economic growth is analyzed. The results show that the industrial competitive strength is closely related to the economic growth of the 31 provincial districts, but the contribution made by the industrial structure to economic growth is insufficient and the effect of industrial structure does not match with that of industrial competitive strength. According to industrial competitiveness and industrial structure effect, 31 provincial districts of the whole nation are divided into 4 types and the relevant countermeasures of the four types are put forward.

  6. Developing global competitiveness by assessing organized retail productivity using data envelopment analysis

    Directory of Open Access Journals (Sweden)

    Mehrotra, A.

    2009-01-01

    Full Text Available The purpose of this paper was to find out (using Regression, Data Envelopment Analysis and Sensitivity Analysis how efficiently some of the top organized India retail companies have been performing relative to each other over the years and thereby to identify factors that help increase the efficiency of a retail company. The study was conducted based on the analysis of data downloaded from Prowess database for five Indian retail companies for the time period 2000-2007. The paper is deemed to be helpful to enable Indian retail companies gain a competitive advantage in the face of increased competition being faced in the emerging organized retail sector in India. The findings brought forth Advertising and Marketing expenses as the significant performance determining factors to be paid attention to.

  7. European Furniture Market Competition Analysis%欧式家具市场竞争分析

    Institute of Scientific and Technical Information of China (English)

    赵倩; 陈于书

    2013-01-01

    通过市场调研、对比分析的方法,结合实际案例,在对欧式家具市场现状分析,竞争品牌形象、产品、营销战略对比、自身SWOT分析的基础上,制定出合理的差异化竞争策略,对企业提高核心竞争力有积极的指导意义。%Through the methods of market research and comparative analysis, combined with the actual case, based on the situation on the European furniture market analysis, competitive brand, product, marketing strategy contrast, and SWOT analysis, develop a reasonable differentiation strategy which has positive signiifcance for enterprises to improve core competitiveness.

  8. CHROME MINING COMPETITIVENESS ANALYSIS OF TURKEY IN TERMS OF STRATEGIC MANAGEMENT: SECTORAL STRENGTHS, PROBLEMS AND SOLUTIONS

    Directory of Open Access Journals (Sweden)

    Ali Rıza İNCE

    2012-12-01

    Full Text Available In this study, Chrome mining which has an important place in the Turkish mining industry, analyzed and determined features that can provide a competitive advantage, and also aimed to identifing the existing problems.İn this study qualititive study has done.İn this context, literatüre review was done and descriptive method is used.The first section reviews recent discussions about strategic management approach and its features. The second section includes competetion and competitiveness.İn the context, swot analysis technique, the most preferred method, was utilized for assesing the competetion.And then, swot analysis is done chrome mining lastly, strategic evaluation is done in the context of assesments and analysis for chrome mining and various suppestions have been made about the strategic sense.

  9. Biomechanical Analysis of Defensive Cutting Actions During Game Situations: Six Cases in Collegiate Soccer Competitions

    Directory of Open Access Journals (Sweden)

    Sasaki Shogo

    2015-06-01

    Full Text Available The strengths of interpersonal dyads formed by the attacker and defender in one-on-one situations are crucial for performance in team ball sports such as soccer. The purpose of this study was to analyze the kinematics of one-on-one defensive movements in soccer competitions, and determine the relationships between lower limb kinematics and the center of mass translation during cutting actions. Six defensive scenes in which a player was responding to an offender’s dribble attack were selected for analysis. To reconstruct the three-dimensional kinematics of the players, we used a photogrammetric model-based image-matching technique. The hip and knee kinematics were calculated from the matched skeleton model. In addition, the center of mass height was expressed as a ratio of each participant’s body height. The relationships between the center of mass height and the kinematics were determined by the Pearson’s product-moment correlation coefficient. The normalized center of mass height at initial contact was correlated with the vertical center of mass displacement (r = 0.832, p = 0.040 and hip flexion angle at initial contact (r = −0.823, p = 0.044. This suggests that the lower center of mass at initial contact is an important factor to reduce the downwards vertical center of mass translation during defensive cutting actions, and that this is executed primarily through hip flexion. It is therefore recommended that players land with an adequately flexed hip at initial contact during one-on-one cutting actions to minimize the vertical center of mass excursion.

  10. IMPLICATIONS OF THE EU MULTI-LEVEL GOVERNANCE IN THE FIELD OF COMPETITION POLICY – A COMPARATIVE ANALYSIS OF THE CHARACTERISTICS OF COHESION AND COMPETITION POLICIES

    Directory of Open Access Journals (Sweden)

    Florin Bonciu

    2011-09-01

    Full Text Available The paper aims at analyzing the intrinsic characteristics of the European Union and to show that these characteristics objectively require the implementation of multi-level governance. A comparative analysis of the European Union’s cohesion and competition policy is presented from the point of view of these elements. Further on, given the implications of the economic crisis, the paper explores the possible translation from multi-level governance to polycentric governance and its implications for the cohesion and competition policies.

  11. Principles and clinical applications of image analysis.

    Science.gov (United States)

    Kisner, H J

    1988-12-01

    Image processing has traveled to the lunar surface and back, finding its way into the clinical laboratory. Advances in digital computers have improved the technology of image analysis, resulting in a wide variety of medical applications. Offering improvements in turnaround time, standardized systems, increased precision, and walkaway automation, digital image analysis has likely found a permanent home as a diagnostic aid in the interpretation of microscopic as well as macroscopic laboratory images.

  12. A reasoning system for image analysis

    Directory of Open Access Journals (Sweden)

    Gao Jin Sheng

    2016-01-01

    Full Text Available For image analysis in computer, the traditional approach is extracting and transcoding features after image segmentation. However, in this paper, we present a different way to analyze image. We adopt spatial logic technology to establish a reasoning system with corresponding semantic model, and prove its soundness and completeness, and then realize the image analysis in formal way. And it can be applied in artificial intelligence. This is a new attempt and also a challenging approach.

  13. One Approach to intellectual image analysis

    Directory of Open Access Journals (Sweden)

    Bellustin Nikolai

    2016-01-01

    Full Text Available This study investigated the method of semantic image analysis by using a set of neuron-like detectors of foreground objects. This method is intended to find different types of foreground objects and to determine properties of these objects. As a result of semantic analysis the semantic descriptor of the image is created. The descriptor is a set of foreground objects of the image and a set of properties for each object. The distance between images is defined as distance between their semantic descriptors. Using the concept of distance between images, “semantically similarity” between images or videos is defined.

  14. Genetic analysis of the longevity of French sport horses in jumping competition.

    Science.gov (United States)

    Ricard, A; Blouin, C

    2011-10-01

    The longevity of sport horses is an economic and ethical issue. The aim of this study was to analyze the duration of the competitive life of jumping horses in France to assess the potential for genetic evaluation and to propose rules of management for sport horses. Data included lifetimes spent in jumping competitions for the 209,296 horses born from 1968 onward with performances between 1972 and 2008; the data set contained 22% right-censored records. Longevity was measured in years. Discrete survival analysis included fixed effects of region of birth, month of birth, year of recording, age at first competition, interaction between sex and level of jumping performance as measured by the logarithm of earnings adjusted for sex, age, year, and random sire and maternal grand-sire effects. There were 16,668 sires and maternal grand-sires. All fixed effects were highly significant (P effect on longevity: against common belief, the younger the horse started competing, the longer it stayed in competition. For horses that started competing at an age of 6 yr, the risk of culling was 1.33-fold that of horses having started at 4 yr of age. The less success in competition, the greater was the chance for leaving competition, especially for horses without earnings. For a gelding without earnings, the risk of culling was 1.40-fold that of an average-performance gelding and 2.57-fold that of a top-rated gelding (performance at least 2 SD above the mean). Mares always had greater relative risk than geldings or stallions because they may be culled from competition to be used for breeding. The risk of culling for females was 1.45-fold that of a gelding with the same performance. The heritability of the length of competitive life was 0.10. Breeding values were predicted for sires, and 3,303 sires showed an accuracy greater than 0.60. Among these sires, 262 were used for breeding in 2008.

  15. Image analysis: a consumer's guide.

    Science.gov (United States)

    Meyer, F

    1983-01-01

    The last years have seen an explosion of systems in image analysis. It is hard for the pathologist or the cytologist to make the right choice of equipment. All machines are stupid, and the only valuable thing is the human work put into it. So make your benefit of the work other people have done for you. Chose a method largely used on many systems and which has proved fertile in many domains and not only for your specific to day's application: Mathematical Morphology, to which are to be added the linear convolutions present on all machines is a strong candidate for becoming such a method. The paper illustrates a working day of an ideal system: research and diagnostic directed work during the working hours, automatic screening of cervical (or other) smears during night.

  16. Analysis of Competitiveness and Government Policy on Rice, Corn and Soybean Farming

    Directory of Open Access Journals (Sweden)

    Prasetyo Ari Bowo

    2016-10-01

    Full Text Available Rice, corn and soybean is the strategic commodities and the government always maintains their availability. Indonesia still imports rice, corn and soybean and implements the policy of tariffs, taxes and subsidies on rice, corn, soybean imports and farming inputs. Central Java is the main producer of rice, corn and soybean with the contibution of Gross Regional Domestic Product of the food crop sub-sector to the highest Provincial GRDP in Indonesian. This research examines the competitiveness and the government policy towards rice, corn and soybean farming in Central Java Province. It uses secondary data of Farming Economic Analysis from the relevant agencies and scientific publications on the international price of rice, corn and soybean that is analyzed using the quantitative descriptive method with analysis tool of Policy Analysis Matrix (PAM. The PAM result shows that the rice farming in Cilacap Regency and the corn farming in Grobogan Regency have competitive and comparative advantage. The soybean farming in Grobogan only has a comparative advantage. Overall the government policies are protective towards the rice farming in Cilacap, but not protective towards the corn and soybean farming in Grobogan. The sensitivity analysis shows that the advantages and competitiveness of the rice farming in Cilacap and the corn and soybean farming in Grobogan are sensitive towards the international price changes of commodities and fertilizers, the labor cost changes, the exchange rate fluctuations of Rupiah towards USD, and the import tariff changes of commodities.

  17. Clock Scan Protocol for Image Analysis: ImageJ Plugins.

    Science.gov (United States)

    Dobretsov, Maxim; Petkau, Georg; Hayar, Abdallah; Petkau, Eugen

    2017-06-19

    The clock scan protocol for image analysis is an efficient tool to quantify the average pixel intensity within, at the border, and outside (background) a closed or segmented convex-shaped region of interest, leading to the generation of an averaged integral radial pixel-intensity profile. This protocol was originally developed in 2006, as a visual basic 6 script, but as such, it had limited distribution. To address this problem and to join similar recent efforts by others, we converted the original clock scan protocol code into two Java-based plugins compatible with NIH-sponsored and freely available image analysis programs like ImageJ or Fiji ImageJ. Furthermore, these plugins have several new functions, further expanding the range of capabilities of the original protocol, such as analysis of multiple regions of interest and image stacks. The latter feature of the program is especially useful in applications in which it is important to determine changes related to time and location. Thus, the clock scan analysis of stacks of biological images may potentially be applied to spreading of Na(+) or Ca(++) within a single cell, as well as to the analysis of spreading activity (e.g., Ca(++) waves) in populations of synaptically-connected or gap junction-coupled cells. Here, we describe these new clock scan plugins and show some examples of their applications in image analysis.

  18. Using the organizational network analysis to build competitiveness on the example of enterprise energy sector

    Directory of Open Access Journals (Sweden)

    Wawrzynek Łukasz

    2016-12-01

    Full Text Available Contemporary organizations operate in dynamic, complex markets. One of the directions of their development is the increase of competitiveness level. This level must be based on factors for building competitive advantage, clear for the given organization, or, in a broader sense, based on general conditions for the increase of competitiveness. One of these directions could be innovation, which would lead to development and the gaining of new markets. Being innovative depends on the ideas and their implementation. This in turn depends on knowledge, primarily tacit knowledge, which is associated with the employees. To identify it, and next lead to its diffusion and application, the organization must learn the dependencies in which employees function, and match to them certain actions that would result in the increase of innovation potential. The learning of the actual relations is possible with the application of the organizational network analysis. This paper presents an example of applying organizational networks in an enterprise, on the basis of a conducted study. The results suggest that such tools are useful and that the organization, after the interventions it launched, achieves in the analyzed area a level of competitiveness higher than in other areas.

  19. “Porter vs Krugman”: History, Analysis and Critique of Regional Competitiveness

    Directory of Open Access Journals (Sweden)

    Psofogiorgos Nikolaos ALEXANDROS

    2016-03-01

    Full Text Available Abstract. The subject of this study is to determine the competitiveness through an interdisciplinary approach of the theories of the new economic geography and regional economy. This article describes in detail the theory of competitiveness, which is defined differently by many authors, with particular emphasis on opposing views of Michael Porter and Paul Krugman. One of the first writers who stressed the importance of the geographical position was Michael Porter. In his model, the author emphasizes that the geographical concentration of firms enhances productivity, innovation and export sector. Following this theory, many authors have focused on the research of the "location problem ", which led to better connection of economics and geography. The result of these activities is the new guidelines that have been developed, such as the new theory of economic geography and regional economy. The new economic geography is mainly related to the Nobel prized, Paul Krugman, whose theories often conflict with those of Porter. This study initially sets out the views of both authors, in terms of competitiveness and then attempts to make a comparative analysis between the theories they developed.Keywords. Michael Porter, Paul Krugman, Regional Competitiveness.JEL. R11, R19, R38.

  20. ANALYSIS OF THE CORRELATION BETWEEN ENERGY CONSUMPTION AND INDUSTRIAL COMPETITIVENESS IN THE EUROPEAN UNION

    Directory of Open Access Journals (Sweden)

    Mihaela Ionescu SAS

    2016-07-01

    Full Text Available In this paper the author analyzes the dependence between energy and industrial competitiveness before and after the 2008 economic crisis in the European Union. The Europe 2020 strategy aims energy major industrial competitiveness and increasing energy efficiency. But the economic crisis of 2008 led to reduced energy consumption and prices have increased considerably, so prices in the European Union in the energy industry are estimated to be twice higher than in the United States and Russia and 20% higher than those in China. According to the 2020 European Strategy for Sustainable Growth proposed increasing share of renewables to 20% increasing 20% energy efficiency and 20% reduction of greenhouse gas emissions greenhouse (or even 30 %, in favorable conditions compared to 1990. The economic analysis in this paper are based on statistical quantitative method. Indicators used in this analysis are available on major platforms Eurostat data.

  1. Analysis of domestic tourism between the Spanish peninsular autonomous communities: specialization and competitive advantage

    Directory of Open Access Journals (Sweden)

    José J. Benítez Rochel

    2011-01-01

    Full Text Available This paper presents an implementation of shift share analysis ofnational tourism between the Spanish peninsular autonomous communities withovernight stays in hotels data. Thus, it achieves a more complete interpretation ofthe available statistical information. Among other things, it allows us to know theposition which each region has in terms of specialization and competitive advantageand, hence, the potential markets for development can be identified.

  2. Statistical, Ecosystems and Competitiveness Analysis of the Media and Content Industries: The Newspaper Publishing Industry

    OpenAIRE

    Leurdijk, Andra; Slot, Mijke; NIEUWENHUIS Ottilie

    2012-01-01

    This report offers an in-depth analysis of the major economic developments in the music industry. It looks at music companies, and covers the production and distribution of recorded music, including online distribution, and the competition which these companies face from other online music providers. It also looks at the organisation of live performances and the exploitation of music copyright, though data on how these activities contribute to revenues in the sector are less systematically av...

  3. A COMPETITIVENESS ANALYSIS OF THE US-JAPAN TRADE RELATIONS, 1985-1995

    Directory of Open Access Journals (Sweden)

    Mohammed Ansari

    2000-01-01

    Full Text Available The US trade deficit with the rest of the world rose during the 1985-1995 period and the trade deficit with Japan accounted for the major share of the overall US trade deficit. This article provides measures of US trade deficits with Japan, offers an analysis of the measures of competitiveness, and discusses some macro-level factors which seem to have contributed to the large US trade deficit with Japan.

  4. The Analysis Of Factors Affect The Quality Of Competitive Strategy In Industry SME For Embroidery At Padang City

    Directory of Open Access Journals (Sweden)

    dahliana kamener dahlia

    2016-10-01

    Full Text Available The study aimed to analyze the quality factors of competitive strategy on SME for Industrial embroidery in Padang city. With this research is expected to provide benefits to the industry, especially SMEs Industrial embroidery to be able to improve and consider the factors that can affect the quality of competitive strategy in this industry, which the factors influenced such as Quality Strategic Asset, Environment Adabtability and price strategic to the Quality Strategic Competition. The populations of this study were SME industry for the embroidery product in the city of Padang and used census sampling. Data retrieved from the primary data by spreading questionnaires and the measurement by using a Likert scale. Methods of analysis by using descriptive analysis, multiple regression analysis to test the hyphotheses. The result showed that the quality of asset strategik was postively significant effect the Quality Strategic Competition, and enviromental adaptability and price strategy have positively not significant effect on the Quality Strategic Competition.

  5. Automatic Marker-free Longitudinal Infrared Image Registration by Shape Context Based Matching and Competitive Winner-guided Optimal Corresponding

    Science.gov (United States)

    Lee, Chia-Yen; Wang, Hao-Jen; Lai, Jhih-Hao; Chang, Yeun-Chung; Huang, Chiun-Sheng

    2017-02-01

    Long-term comparisons of infrared image can facilitate the assessment of breast cancer tissue growth and early tumor detection, in which longitudinal infrared image registration is a necessary step. However, it is hard to keep markers attached on a body surface for weeks, and rather difficult to detect anatomic fiducial markers and match them in the infrared image during registration process. The proposed study, automatic longitudinal infrared registration algorithm, develops an automatic vascular intersection detection method and establishes feature descriptors by shape context to achieve robust matching, as well as to obtain control points for the deformation model. In addition, competitive winner-guided mechanism is developed for optimal corresponding. The proposed algorithm is evaluated in two ways. Results show that the algorithm can quickly lead to accurate image registration and that the effectiveness is superior to manual registration with a mean error being 0.91 pixels. These findings demonstrate that the proposed registration algorithm is reasonably accurate and provide a novel method of extracting a greater amount of useful data from infrared images.

  6. Analysis of Dynamic Brain Imaging Data

    CERN Document Server

    Mitra, P

    1998-01-01

    Modern imaging techniques for probing brain function, including functional Magnetic Resonance Imaging, intrinsic and extrinsic contrast optical imaging, and magnetoencephalography, generate large data sets with complex content. In this paper we develop appropriate techniques of analysis and visualization of such imaging data, in order to separate the signal from the noise, as well as to characterize the signal. The techniques developed fall into the general category of multivariate time series analysis, and in particular we extensively use the multitaper framework of spectral analysis. We develop specific protocols for the analysis of fMRI, optical imaging and MEG data, and illustrate the techniques by applications to real data sets generated by these imaging modalities. In general, the analysis protocols involve two distinct stages: `noise' characterization and suppression, and `signal' characterization and visualization. An important general conclusion of our study is the utility of a frequency-based repres...

  7. Analysis on Features of Agricultural Structure Change and Agricultural Competitiveness in Hubei Province

    Institute of Scientific and Technical Information of China (English)

    2010-01-01

    The output data of crop farming,forestry,animal husbandry and fishery in the Hubei Statistical Yearbook-2009 is used to analyze the features of agricultural structure change in Hubei Province since 1983;according to the relevant data in Hubei Statistical Yearbook and China Statistical Yearbook in 2005 and 2009,and adopting the shift-share analysis model,the difference in agricultural economic growth between Hubei and other provinces in Central China as well as the difference among the 17 regions of Hubei Province during 2004-2008 are analyzed.Results show that,the agriculture in Hubei Province shows significant overall advantages in central China and has stronger competitiveness,but its crop farming and fishery structure are not quite reasonable,and the competitive advantages of its fishery and agricultural services still need to be strengthened;the agricultural structure within Hubei Province sees an obvious regional differences,viewed from the total deviation,Huanggang,Jingmen and Yichang enjoy competitive edge in the whole province,from the viewpoint of industrial sectors,Huanggang is the most competitive in its planting,forestry and animal husbandry,while Jingmen is the strongest in fishery and Xiangfan has a competitive edge over others in its agricultural services.Based on those results above,it is proposed that Hubei Province should fully recognize its natural conditions,resources endowment and current differences in the economic status of each places,work out measures to suit local conditions,take full use of its advantages,extend its production chain and go on the development road with regional characteristics.

  8. U.S. Wind Energy Manufacturing and Supply Chain: A Competitiveness Analysis

    Energy Technology Data Exchange (ETDEWEB)

    Fullenkamp, Patrick H; Holody, Diane S

    2014-06-15

    The goal of the project was to develop a greater understanding of the key factors determining wind energy component manufacturing costs and pricing on a global basis in order to enhance the competitiveness of U.S. manufacturers, and to reduce installed systems cost. Multiple stakeholders including DOE, turbine OEMs, and large component manufactures will all benefit by better understanding the factors determining domestic competitiveness in the emerging offshore and next generation land-based wind industries. Major objectives of this project were to: 1. Carry out global cost and process comparisons for 5MW jacket foundations, blades, towers, and permanent magnet generators; 2. Assess U.S. manufacturers’ competitiveness and potential for cost reduction; 3. Facilitate informed decision-making on investments in U.S. manufacturing; 4. Develop an industry scorecard representing the readiness of the U.S. manufacturers’ to produce components for the next generations of wind turbines, nominally 3MW land-based and 5MW offshore; 5. Disseminate results through the GLWN Wind Supply Chain GIS Map, a free website that is the most comprehensive public database of U.S. wind energy suppliers; 6. Identify areas and develop recommendations to DOE on potential R&D areas to target for increasing domestic manufacturing competitiveness, per DOE’s Clean Energy Manufacturing Initiative (CEMI). Lists of Deliverables 1. Cost Breakdown Competitive Analyses of four product categories: tower, jacket foundation, blade, and permanent magnet (PM) generator. The cost breakdown for each component includes a complete Bill of Materials with net weights; general process steps for labor; and burden adjusted by each manufacturer for their process categories of SGA (sales general and administrative), engineering, logistics cost to a common U.S. port, and profit. 2. Value Stream Map Competitiveness Analysis: A tool that illustrates both information and material flow from the point of getting a

  9. Image registration with uncertainty analysis

    Science.gov (United States)

    Simonson, Katherine M.

    2011-03-22

    In an image registration method, edges are detected in a first image and a second image. A percentage of edge pixels in a subset of the second image that are also edges in the first image shifted by a translation is calculated. A best registration point is calculated based on a maximum percentage of edges matched. In a predefined search region, all registration points other than the best registration point are identified that are not significantly worse than the best registration point according to a predetermined statistical criterion.

  10. Digital-image processing and image analysis of glacier ice

    Science.gov (United States)

    Fitzpatrick, Joan J.

    2013-01-01

    This document provides a methodology for extracting grain statistics from 8-bit color and grayscale images of thin sections of glacier ice—a subset of physical properties measurements typically performed on ice cores. This type of analysis is most commonly used to characterize the evolution of ice-crystal size, shape, and intercrystalline spatial relations within a large body of ice sampled by deep ice-coring projects from which paleoclimate records will be developed. However, such information is equally useful for investigating the stress state and physical responses of ice to stresses within a glacier. The methods of analysis presented here go hand-in-hand with the analysis of ice fabrics (aggregate crystal orientations) and, when combined with fabric analysis, provide a powerful method for investigating the dynamic recrystallization and deformation behaviors of bodies of ice in motion. The procedures described in this document compose a step-by-step handbook for a specific image acquisition and data reduction system built in support of U.S. Geological Survey ice analysis projects, but the general methodology can be used with any combination of image processing and analysis software. The specific approaches in this document use the FoveaPro 4 plug-in toolset to Adobe Photoshop CS5 Extended but it can be carried out equally well, though somewhat less conveniently, with software such as the image processing toolbox in MATLAB, Image-Pro Plus, or ImageJ.

  11. An analysis of female entrepreneurship and innovation in Serbia in the context of EU competitiveness

    Directory of Open Access Journals (Sweden)

    Popović-Pantić Sanja

    2014-01-01

    Full Text Available In economies that are led by innovation, innovativeness and competitiveness are interdependent. If an enterprise and/or economy is competitive in the market it will likely have a high level of innovation management, harmonized with EU standards. A variety of different methodologies is used to assess the innovation capacities of small and medium sized companies, but IMPіrove methodology is widespread in EU countries. It is a benchmarking process which gives, as the final output, a comprehensive report on how to improve and leverage innovation management for profitable growth, which includes a identification of the gaps hampering growth and b the direction in which and how the company should be developed and grown. For the purpose of this paper, IMPіrove methodology was adjusted and simplified to assess the innovation capacity of a single company without benchmarking. The focus of the paper is 22 Serbian companies owned and managed by women, which were included in innovation scanning according to the IMPіrove methodology in 2010. All companies included in the sample employ more than 10 employees. The resulting analysis aims to provide insight into the holistic innovation capacity of the selected companies through four dimensions of the so-called ‘House of Innovation’1. They are: innovation strategy, innovation organization and culture, innovation process (life cycle management, and enabling factors supporting the development of the company’s innovation management. This analysis provides an overview of the innovation management platform necessary to enhance small and medium enterprises’ (SME business performance and competitiveness in the EU market. The analysis also presents the results of research on the gender aspects of the institutions and programmes that support innovativeness and competitiveness in SMEs. [Projekat Ministarstva nauke Republike Srbije, br. III 47005: Research and Development of the Platform for Science

  12. Temporal analysis of national level Muay-Thai matches: Effects of competitive phase

    Directory of Open Access Journals (Sweden)

    Fabrício Boscolo Del Vecchio

    2015-06-01

    Full Text Available Introduction: Temporal analysis of matches allows the study of fighting patterns in combat sports. With this procedure, we can recreate the efforts in specific training. However, up to date have no information concerning temporal analysis considering competitive level in Muay-Thai. Objective: To investigate temporal characteristics of Muay-Thai athletes in official competition from national level, considering round, and to compare preliminary combats with those that had medal disputes. Material and methods: Were recorded 65 matches in a Brazilian championship. We conducted in loco recording. To time-motion analysis, Software Kinovea™ was used. Were considered Observation, Preparation and Interaction periods, as well as high intensity and low intensity ratio (HI:LI. The average duration of the rounds between competitive phases (preliminary or finals was compared with a t test. A generalized linear model was applied considering effort duration as dependent variable and competitive level, round and effort type as independent. Significant level was set in 5%. Results: Were registered 7 to 8 s of Observation, near from 3 s of Preparation and 4 to 5.5 s of Interaction effort type, and the duration of Observation effort was significantly superior the others. Significant differences were observed in the Interaction between preliminary and finals (respectively 5.5 ± 0.3 s and 3.7 ± 0.5 s; p < 0.05. Pooling the Observation and Preparation time as low intensity (LI, and Interaction as high intensity (HI efforts, the HI:LI ratio was 1:2in eliminatory and 1:3 in the final matches. Conclusions: Muay-Thai is an intermittent combat sport, the duration of Interaction effort type is lower in final in comparison to preliminary matches.

  13. Retinal image analysis: preprocessing and feature extraction

    Energy Technology Data Exchange (ETDEWEB)

    Marrugo, Andres G; Millan, Maria S, E-mail: andres.marrugo@upc.edu [Grup d' Optica Aplicada i Processament d' Imatge, Departament d' Optica i Optometria Univesitat Politecnica de Catalunya (Spain)

    2011-01-01

    Image processing, analysis and computer vision techniques are found today in all fields of medical science. These techniques are especially relevant to modern ophthalmology, a field heavily dependent on visual data. Retinal images are widely used for diagnostic purposes by ophthalmologists. However, these images often need visual enhancement prior to apply a digital analysis for pathological risk or damage detection. In this work we propose the use of an image enhancement technique for the compensation of non-uniform contrast and luminosity distribution in retinal images. We also explore optic nerve head segmentation by means of color mathematical morphology and the use of active contours.

  14. Hyperspectral image classification using functional data analysis.

    Science.gov (United States)

    Li, Hong; Xiao, Guangrun; Xia, Tian; Tang, Y Y; Li, Luoqing

    2014-09-01

    The large number of spectral bands acquired by hyperspectral imaging sensors allows us to better distinguish many subtle objects and materials. Unlike other classical hyperspectral image classification methods in the multivariate analysis framework, in this paper, a novel method using functional data analysis (FDA) for accurate classification of hyperspectral images has been proposed. The central idea of FDA is to treat multivariate data as continuous functions. From this perspective, the spectral curve of each pixel in the hyperspectral images is naturally viewed as a function. This can be beneficial for making full use of the abundant spectral information. The relevance between adjacent pixel elements in the hyperspectral images can also be utilized reasonably. Functional principal component analysis is applied to solve the classification problem of these functions. Experimental results on three hyperspectral images show that the proposed method can achieve higher classification accuracies in comparison to some state-of-the-art hyperspectral image classification methods.

  15. Fractal methods in image analysis and coding

    OpenAIRE

    Neary, David

    2001-01-01

    In this thesis we present an overview of image processing techniques which use fractal methods in some way. We show how these fields relate to each other, and examine various aspects of fractal methods in each area. The three principal fields of image processing and analysis th a t we examine are texture classification, image segmentation and image coding. In the area of texture classification, we examine fractal dimension estimators, comparing these methods to other methods in use, a...

  16. Significance-linked connected component analysis for wavelet image coding.

    Science.gov (United States)

    Chai, B B; Vass, J; Zhuang, X

    1999-01-01

    Recent success in wavelet image coding is mainly attributed to a recognition of the importance of data organization and representation. There have been several very competitive wavelet coders developed, namely, Shapiro's (1993) embedded zerotree wavelets (EZW), Servetto et al.'s (1995) morphological representation of wavelet data (MRWD), and Said and Pearlman's (see IEEE Trans. Circuits Syst. Video Technol., vol.6, p.245-50, 1996) set partitioning in hierarchical trees (SPIHT). We develop a novel wavelet image coder called significance-linked connected component analysis (SLCCA) of wavelet coefficients that extends MRWD by exploiting both within-subband clustering of significant coefficients and cross-subband dependency in significant fields. Extensive computer experiments on both natural and texture images show convincingly that the proposed SLCCA outperforms EZW, MRWD, and SPIHT. For example, for the Barbara image, at 0.25 b/pixel, SLCCA outperforms EZW, MRWD, and SPIHT by 1.41 dB, 0.32 dB, and 0.60 dB in PSNR, respectively. It is also observed that SLCCA works extremely well for images with a large portion of texture. For eight typical 256x256 grayscale texture images compressed at 0.40 b/pixel, SLCCA outperforms SPIHT by 0.16 dB-0.63 dB in PSNR. This performance is achieved without using any optimal bit allocation procedure. Thus both the encoding and decoding procedures are fast.

  17. ANALYSIS OF THE WESTERN BALKAN COUNTRIES’ COMPETITIVENESS DETERMINANTS USING THE KEI METHODOLOGY

    Directory of Open Access Journals (Sweden)

    Bojan KRSTIC

    2014-07-01

    Full Text Available The purpose of this paper is to analyse the development of knowledge economy and its importance for the competitiveness of the Western Balkans countries. The aim of the research is to evaluate the development degree of knowledge economy in the Western Balkans countries through the comparison of relevant indicators with the European Union countries. The research information base is the official World Bank data about values ​​of "the knowledge economy index" (KEI. Comprehensive analysis leads us to conclusions about: a the relative positions of the Western Balkans countries in relation to the EU countries, b the development state of knowledge economy in analysed countries according to the pillars of the knowledge economy index. The paper concludes by highlighting the implications and recommendations for conducting the economic policy in the area ​​which encourages the development of knowledge economy and improves competitiveness.

  18. The Smartphone-Based Offline Indoor Location Competition at IPIN 2016: Analysis and Future Work

    Directory of Open Access Journals (Sweden)

    Joaquín Torres-Sospedra

    2017-03-01

    Full Text Available This paper presents the analysis and discussion of the off-site localization competition track, which took place during the Seventh International Conference on Indoor Positioning and Indoor Navigation (IPIN 2016. Five international teams proposed different strategies for smartphone-based indoor positioning using the same reference data. The competitors were provided with several smartphone-collected signal datasets, some of which were used for training (known trajectories, and others for evaluating (unknown trajectories. The competition permits a coherent evaluation method of the competitors’ estimations, where inside information to fine-tune their systems is not offered, and thus provides, in our opinion, a good starting point to introduce a fair comparison between the smartphone-based systems found in the literature. The methodology, experience, feedback from competitors and future working lines are described.

  19. The Smartphone-Based Offline Indoor Location Competition at IPIN 2016: Analysis and Future Work.

    Science.gov (United States)

    Torres-Sospedra, Joaquín; Jiménez, Antonio R; Knauth, Stefan; Moreira, Adriano; Beer, Yair; Fetzer, Toni; Ta, Viet-Cuong; Montoliu, Raul; Seco, Fernando; Mendoza-Silva, Germán M; Belmonte, Oscar; Koukofikis, Athanasios; Nicolau, Maria João; Costa, António; Meneses, Filipe; Ebner, Frank; Deinzer, Frank; Vaufreydaz, Dominique; Dao, Trung-Kien; Castelli, Eric

    2017-03-10

    This paper presents the analysis and discussion of the off-site localization competition track, which took place during the Seventh International Conference on Indoor Positioning and Indoor Navigation (IPIN 2016). Five international teams proposed different strategies for smartphone-based indoor positioning using the same reference data. The competitors were provided with several smartphone-collected signal datasets, some of which were used for training (known trajectories), and others for evaluating (unknown trajectories). The competition permits a coherent evaluation method of the competitors' estimations, where inside information to fine-tune their systems is not offered, and thus provides, in our opinion, a good starting point to introduce a fair comparison between the smartphone-based systems found in the literature. The methodology, experience, feedback from competitors and future working lines are described.

  20. Competitive Strategies in the Luxury Sector: a Qualitative Comparative Analysis on the Fashion Industry

    Directory of Open Access Journals (Sweden)

    Margherita ANGIONI

    2017-07-01

    Full Text Available Despite the difficult economic period, companies in luxury sector are showing better results than those in the consumer products market. The objective of this paper is to analyse the competitive strategies in the luxury sector and in particular, in the personal luxury. To this end, we have chosen to study the case of an Italian company (Tod's Group, leader in the personal luxury according to consumers perception. Basing on a theoretical model of competitive strategy, this study shows a comparison with the strategic choices of three main competitors of Tod's, which offer products with similar values (Made in Italy, exclusivity and high craftsmanship; they are listed companies; they derive from a family business and the family still holds the company's control. The analysis highlights the ability of the Tod's Group in valorizing its capabilities and skills, and the ability of the management to exploit the available relational network.

  1. Solar array design based on shadow analysis for increasing net energy collection in a competition vehicle

    Science.gov (United States)

    Osorio-Gómez, Gilberto; Mejía-Gutiérrez, Ricardo; Suárez-Castañeda, Nicolás; Gil-Herrera, Ana; Barrera-Velásquez, Jorge

    2015-01-01

    Photovoltaic (PV) applications such as in the architectural, automotive, and aerospace industries face design contradictions because they are expected to produce a lot of energy but are constrained by available area, surface shape, incident irradiance, shadows, and other aspects that have a negative influence on the energy produced by the solar panel. Solar competition vehicles are some of these challenging PV applications. The design of such solar arrays needs to consider efficiency evaluation in order to optimize space; it is difficult not to install solar modules in areas impacted by shadows. A design procedure for a solar array configuration based on shadow analysis for competition vehicles is presented. The principle is that shadows in moving objects can be simulated, since the vehicle, the earth and the sun are are moving in semipredictable patterns, thus net energy collection can be forecast. The case study presented is the solar array design of a vehicle that participated in the World Solar Challenge 2013. The obtained results illustrate how the employment of the procedure gives insights on important aspects to consider and also delivers qualitative and quantitative information for decision making. In addition, the experience in competition highlights some issues to be considered, modified, or improved in further vehicle designs.

  2. Analysis of the competitive strategies in the Spanish market petroleum; Estructura estrategica y competitiva en el mercado espanol de carburantes

    Energy Technology Data Exchange (ETDEWEB)

    Bello, A.; Cavero, S.

    2007-07-01

    The objective of this paper is to present an in deep description and analysis of the main structural measures of the Spanish petroleum industry, with special attention paid on the segment of retail distribution of gasoline. Moreover, our interest is to develop a more detailed analysis of the competitive strategies of the main operators of the industry, focusing on determining the impact of differentiation strategies on the strength of competition of this industry. (Author)

  3. Merging Panchromatic and Multispectral Images for Enhanced Image Analysis

    Science.gov (United States)

    1990-08-01

    Multispectral Images for Enhanced Image Analysis I, Curtis K. Munechika grant permission to the Wallace Memorial Library of the Rochester Institute of...0.0 ()0 (.0(%C’ trees 3. 5 2.5% 0.0%l 44. 1% 5 (.()0th ,crass .1 ().W 0.0% 0).0% 97. overall classification accuracy: 87.5%( T-able DlIb . Confusion

  4. Solar Image Analysis and Visualization

    CERN Document Server

    Ireland, J

    2009-01-01

    This volume presents a selection of papers on the state of the art of image enhancement, automated feature detection, machine learning, and visualization tools in support of solar physics that focus on the challenges presented by new ground-based and space-based instrumentation. The articles and topics were inspired by the Third Solar Image Processing Workshop, held at Trinity College Dublin, Ireland but contributions from other experts have been included as well. This book is mainly aimed at researchers and graduate students working on image processing and compter vision in astronomy and solar physics.

  5. Multispectral Image Analysis for Astaxanthin Coating Classification

    DEFF Research Database (Denmark)

    Ljungqvist, Martin Georg; Ersbøll, Bjarne Kjær; Nielsen, Michael Engelbrecht

    2012-01-01

    only with fish oil. In this study, multispectral image analysis of pellets captured reflection in 20 wavelengths (385–1050 nm). Linear discriminant analysis (LDA), principal component analysis, and support vector machine were used as statistical analysis. The features extracted from the multispectral...

  6. Natural user interfaces in medical image analysis cognitive analysis of brain and carotid artery images

    CERN Document Server

    Ogiela, Marek R

    2014-01-01

    This unique text/reference highlights a selection of practical applications of advanced image analysis methods for medical images. The book covers the complete methodology for processing, analysing and interpreting diagnostic results of sample CT images. The text also presents significant problems related to new approaches and paradigms in image understanding and semantic image analysis. To further engage the reader, example source code is provided for the implemented algorithms in the described solutions. Features: describes the most important methods and algorithms used for image analysis; e

  7. The engagement of FDG PET/CT image quality and harmonized quantification: from competitive to complementary

    Energy Technology Data Exchange (ETDEWEB)

    Boellaard, Ronald [VU University Medical Centre, Department of Radiology and Nuclear Medicine, Amsterdam (Netherlands)

    2016-01-15

    The use of {sup 18}F-FDG PET/CT as a quantitative imaging biomarker requires standardization and harmonization of imaging procedures and PET/CT system performance to obtain repeatable and reproducible quantitative data. However, a PET/CT system optimized to meet international quantitative standards is not necessarily optimized for use as a diagnostic tool (i.e. for lesion detectability). Several solutions have been proposed and validated, but until recently none of them had been implemented commercially. Vendor-provided solutions allowing the use of PET/CT both as a diagnostic tool and as a quantitative imaging biomarker are therefore greatly needed and would be highly appreciated. In this invited perspective one such solution is highlighted. (orig.)

  8. Efficiency analysis of competitive activity of highly skilled basketball players at the stage of maximum realization of individual potential

    Directory of Open Access Journals (Sweden)

    Ruslana Sushko

    2015-08-01

    Full Text Available Purpose: to identify the factors of efficiency of competitive activity of highly skilled basketball players at the stage of maximum realization of individual potential. Material and Methods: in order to identify the factors that have supported the performance of Ukraine's male national team in the European Championship, data analysis and generalization of scientific and technical literature and online data, analysis of official protocols of competitive activities, analysis and generalization of best pedagogical practices, pedagogical supervision, methods of mathematical statistics were used. Results: the efficiency of competitive activity of basketball players was analyzed using such indicators as team roles, won and lost matches, scored and missed points, technical, tactical and age indicators. Conclusions: the factors of efficiency of competitive activity of highly skilled basketball players at the stage of maximum realization of individual potential were identified with regard to age indicators

  9. Evolutionary implications of interspecific variation in a maternal effect: a meta-analysis of yolk testosterone response to competition.

    Science.gov (United States)

    Bentz, Alexandra B; Becker, Daniel J; Navara, Kristen J

    2016-11-01

    Competition between conspecifics during the breeding season can result in behavioural and physiological programming of offspring via maternal effects. For birds, in which maternal effects are best studied, it has been claimed that exposure to increased competition causes greater deposition of testosterone into egg yolks, which creates faster growing, more aggressive offspring; such traits are thought to be beneficial for high-competition environments. Nevertheless, not all species show a positive relationship between competitive interactions and yolk testosterone, and an explanation for this interspecific variation is lacking. We here test if the magnitude and direction of maternal testosterone allocated to eggs in response to competition can be explained by life-history traits while accounting for phylogenetic relationships. We performed a meta-analysis relating effect size of yolk testosterone response to competition with species coloniality, nest type, parental effort and mating type. We found that effect size was moderated by coloniality and nest type; colonial species and those with open nests allocate less testosterone to eggs when in more competitive environments. Applying a life-history perspective helps contextualize studies showing little or negative responses of yolk testosterone to competition and improves our understanding of how variation in this maternal effect may have evolved.

  10. Global Analysis of New Malaria Intrahost Models with a Competitive Exclusion Principle

    CERN Document Server

    Iggidr, Abderrahman; Sallet, Gauthier; Tewa, Jean-Jules; 10.1137/050643271

    2011-01-01

    In this paper we propose a malaria within-host model with k classes of age for the parasitized red blood cells and n strains for the parasite. We provide a global analysis for this model. A competitive exclusion principle holds. If R0, the basic reproduction number, satisfies R0 1, then generically there is a unique endemic equilibrium which corresponds to the endemic stabilization of the most virulent parasite strain and to the extinction of all the other parasites strains. We prove that this equilibrium is globally asymptotically stable on the positive orthant if a mild sufficient condition is satisfied.

  11. AN ANALYSIS OF SALES INFORMATION SYSTEM AND COMPETITIVE ADVANTAGE (Study Case of UD. Citra Helmet

    Directory of Open Access Journals (Sweden)

    Hendra Alianto

    2012-10-01

    Full Text Available Business development in this era of globalization leads companies to use information system in running business relationship by changing the traditional way of working in non-integrated information systems into integrated information systems. The intended use of the integrated information system will improve the effective and efficient way of working, such as the availability of information in real-time, accurate and informative for decision-making for the benefit of operational activities, as well as decision-making for strategic interests and the company’s business development. Especially with the application of sales information system, it will improve the company’s performance and will affect the competitiveness of companies, which can ultimately increase the maximum profit. However, in reality it is not easy to implement the integrated information system, because it is influenced by the customs, culture and mindset of the user company. It is necessary for running system analysis activity and building an integrated information system by concerning into the needs of users, management, customers and stakeholders. The implementation of integrated information system will increase productivity and achieve the effectiveness and efficiency level of company’s operations, through the analysis of sales information system will affect the competitiveness of companies.Keywords: Sales Information System Analysis

  12. Imaging flow cytometry for phytoplankton analysis.

    Science.gov (United States)

    Dashkova, Veronika; Malashenkov, Dmitry; Poulton, Nicole; Vorobjev, Ivan; Barteneva, Natasha S

    2017-01-01

    This review highlights the concepts and instrumentation of imaging flow cytometry technology and in particular its use for phytoplankton analysis. Imaging flow cytometry, a hybrid technology combining speed and statistical capabilities of flow cytometry with imaging features of microscopy, is rapidly advancing as a cell imaging platform that overcomes many of the limitations of current techniques and contributed significantly to the advancement of phytoplankton analysis in recent years. This review presents the various instrumentation relevant to the field and currently used for assessment of complex phytoplankton communities' composition and abundance, size structure determination, biovolume estimation, detection of harmful algal bloom species, evaluation of viability and metabolic activity and other applications. Also we present our data on viability and metabolic assessment of Aphanizomenon sp. cyanobacteria using Imagestream X Mark II imaging cytometer. Herein, we highlight the immense potential of imaging flow cytometry for microalgal research, but also discuss limitations and future developments.

  13. Digital Image Analysis for Detechip Code Determination

    Directory of Open Access Journals (Sweden)

    Marcus Lyon

    2012-08-01

    Full Text Available DETECHIP® is a molecular sensing array used for identification of a large variety of substances. Previous methodology for the analysis of DETECHIP® used human vision to distinguish color changes induced by the presence of the analyte of interest. This paper describes several analysis techniques using digital images of DETECHIP® . Both a digital camera and flatbed desktop photo scanner were used to obtain Jpeg images. Color information within these digital images was obtained through the measurement of redgreen-blue (RGB values using software such as GIMP, Photoshop and ImageJ. Several different techniques were used to evaluate these color changes. It was determined that the flatbed scanner produced in the clearest and more reproducible images. Furthermore, codes obtained using a macro written for use within ImageJ showed improved consistency versus pervious methods.

  14. Factors and methods of analysis and estimation of furniture making enterprises competitiveness

    Directory of Open Access Journals (Sweden)

    Vitaliy Aleksandrovich Zhigarev

    2015-06-01

    Full Text Available Objective to describe the author39s methodology for estimating the furnituremaking enterprises competitiveness with a view to carry out the economic evaluation of the efficiency of furniture production the evaluation of the internal component of the furniture production efficiency the identification of factors influencing the efficiency of furnituremaking companies and areas for improving it through improvements in product range production and sales policy of the enterprise. The research subject is modern methods and principles of competitiveness management applicable in a rapidly changing market environment. Methods in general the research methodology consists of six stages differentiated by methods objectives and required outcomes. The first stage of the research was to study the nature of demand within the target market of a furnituremaking enterprise. The second stage was to study the expenditures of a furnituremaking enterprise for implementing individual production and sales strategies. The third stage was to study competition in the market. The fourth stage was the analysis of possibilities of a furnituremaking enterprise in producing and selling furniture in terms of factor values combinations. The fifth stage was the reexamination of the demand with a view to its distribution according to the factor space. The final sixth stage was processing of data obtained at the previous stages and carrying out the necessary calculations. Results in general the above methodology of economic evaluation of the efficiency of furniture production based on the previously developed model gives the managers of enterprises an algorithm for assessing both market and firmlevel component of the furniture production efficiency allowing the subsequent identification and evaluation of the efficiency factors and the development of measures to improve the furniture production and sale efficiency as well as the assortment rationalization production and sales policy

  15. Theory of Image Analysis and Recognition.

    Science.gov (United States)

    1983-01-24

    Narendra Ahuja Image models Ramalingam Chellappa Image models Matti Pietikainen * Texture analysis b David G. Morgenthaler’ 3D digital geometry c Angela Y. Wu...Restoration Parameter Choice A Quantitative Guide," TR-965, October 1980. 70. Matti Pietikainen , "On the Use of Hierarchically Computed ’Mexican Hat...81. Matti Pietikainen and Azriel Rosenfeld, "Image Segmenta- tion by Texture Using Pyramid Node Linking," TR-1008, February 1981. 82. David G. 1

  16. NIH Image to ImageJ: 25 years of image analysis.

    Science.gov (United States)

    Schneider, Caroline A; Rasband, Wayne S; Eliceiri, Kevin W

    2012-07-01

    For the past 25 years NIH Image and ImageJ software have been pioneers as open tools for the analysis of scientific images. We discuss the origins, challenges and solutions of these two programs, and how their history can serve to advise and inform other software projects.

  17. Analysis of demand curves in the stock and financial markets of monopolistic competition

    Directory of Open Access Journals (Sweden)

    Mikhail I. Geras’kin

    2016-01-01

    Full Text Available Objective to identify patterns of monopolistic competition as applied to markets of household appliances consumer loans and insurance products in Russia. Methods econometric modeling trending regression analysis analysis of statistical significance. Results the statistical analysis of trends in the market of household appliances insurance and credit markets has been carried out the statistical significance and adequacy of the models has been assessed adequate and accurate regression models of price trends of household appliances and electronics have been developed as well as of the interest rates of consumer loans and insurance rates for loan debts. Scientific novelty the actual patterns of decreasing demand curves for household appliances consumer loans and insurance products were found for the relevant markets in the Russian Federation in 2009ndash2014. Practical significance the model can be used for solving problems of optimal planning strategies of retailers insurers and banks. nbsp

  18. Statistical Smoothing Methods and Image Analysis

    Science.gov (United States)

    1988-12-01

    83 - 111. Rosenfeld, A. and Kak, A.C. (1982). Digital Picture Processing. Academic Press,Qrlando. Serra, J. (1982). Image Analysis and Mat hematical ...hypothesis testing. IEEE Trans. Med. Imaging, MI-6, 313-319. Wicksell, S.D. (1925) The corpuscle problem. A mathematical study of a biometric problem

  19. Simulation Analysis of Cylindrical Panoramic Image Mosaic

    Directory of Open Access Journals (Sweden)

    ZHU Ningning

    2017-04-01

    Full Text Available With the rise of virtual reality (VR technology, panoramic images are used more widely, which obtained by multi-camera stitching and take advantage of homography matrix and image transformation, however, this method will destroy the collinear condition, make it's difficult to 3D reconstruction and other work. This paper proposes a new method for cylindrical panoramic image mosaic, which set the number of mosaic camera, imaging focal length, imaging position and imaging attitude, simulate the mapping process of multi-camera and construct cylindrical imaging equation from 3D points to 2D image based on photogrammetric collinearity equations. This cylindrical imaging equation can not only be used for panoramic stitching, but also be used for precision analysis, test results show: ①this method can be used for panoramic stitching under the condition of multi-camera and incline imaging; ②the accuracy of panoramic stitching is affected by 3 kinds of parameter errors including focus, displacement and rotation angle, in which focus error can be corrected by image resampling, displacement error is closely related to object distance and rotation angle error is affected mainly by the number of cameras.

  20. The marketing analysis of competitiveness of fitness-clubs in Kharkiv

    Directory of Open Access Journals (Sweden)

    Svitlana Stadnyk

    2016-12-01

    Full Text Available Purpose: to carry out the marketing analysis of competitiveness of fitness-clubs of Kharkiv. Material & Methods: analysis of references and documents, organizational analysis, system analysis, methods of the marketing analysis (SWOT-analysis, methods of mathematical data processing. The research was conducted on the basis of 13 fitness-clubs of Kharkiv. Administrators acted as respondents – 15 persons; those who are engaged in fitness-clubs – 50 persons. Results: opportunities and threats of the external environment of fitness-clubs of Kharkiv are defined on the basis of the carried-out marketing analysis, satisfaction of Kharkov citizens with activity of fitness-clubs of the city from providing recreational services is found. Conclusions: the carried-out analysis of marketing activity of fitness-clubs of Kharkiv gave the chance to find possible threats from competitors: the rate of inflation in the country, the appearance of new competitors, the change of level of the income of the population, the increase in mortality of the population, the change of attachments of the population.

  1. An Empirical Analysis of the Export Competitiveness of Agricultural Products in Hubei Province Based on Inter-provincial Comparison

    Institute of Scientific and Technical Information of China (English)

    Ling WANG

    2016-01-01

    With the six provinces of Central China and China’s six major provinces of exporting agricultural products as the reference objects,this paper uses revealed comparative advantage index and export growth advantage index to perform the empirical analysis and comparison on the export competitiveness of agricultural products in Hubei Province,and finally makes the corresponding policy recommendations in order to enhance the export competitiveness of agricultural products in Hubei Province.

  2. Malware Analysis Using Visualized Image Matrices

    Directory of Open Access Journals (Sweden)

    KyoungSoo Han

    2014-01-01

    Full Text Available This paper proposes a novel malware visual analysis method that contains not only a visualization method to convert binary files into images, but also a similarity calculation method between these images. The proposed method generates RGB-colored pixels on image matrices using the opcode sequences extracted from malware samples and calculates the similarities for the image matrices. Particularly, our proposed methods are available for packed malware samples by applying them to the execution traces extracted through dynamic analysis. When the images are generated, we can reduce the overheads by extracting the opcode sequences only from the blocks that include the instructions related to staple behaviors such as functions and application programming interface (API calls. In addition, we propose a technique that generates a representative image for each malware family in order to reduce the number of comparisons for the classification of unknown samples and the colored pixel information in the image matrices is used to calculate the similarities between the images. Our experimental results show that the image matrices of malware can effectively be used to classify malware families both statically and dynamically with accuracy of 0.9896 and 0.9732, respectively.

  3. Scale-Specific Multifractal Medical Image Analysis

    Directory of Open Access Journals (Sweden)

    Boris Braverman

    2013-01-01

    irregular complex tissue structures that do not lend themselves to straightforward analysis with traditional Euclidean geometry. In this study, we treat the nonfractal behaviour of medical images over large-scale ranges by considering their box-counting fractal dimension as a scale-dependent parameter rather than a single number. We describe this approach in the context of the more generalized Rényi entropy, in which we can also compute the information and correlation dimensions of images. In addition, we describe and validate a computational improvement to box-counting fractal analysis. This improvement is based on integral images, which allows the speedup of any box-counting or similar fractal analysis algorithm, including estimation of scale-dependent dimensions. Finally, we applied our technique to images of invasive breast cancer tissue from 157 patients to show a relationship between the fractal analysis of these images over certain scale ranges and pathologic tumour grade (a standard prognosticator for breast cancer. Our approach is general and can be applied to any medical imaging application in which the complexity of pathological image structures may have clinical value.

  4. Hybrid Expert Systems In Image Analysis

    Science.gov (United States)

    Dixon, Mark J.; Gregory, Paul J.

    1987-04-01

    Vision systems capable of inspecting industrial components and assemblies have a large potential market if they can be easily programmed and produced quickly. Currently, vision application software written in conventional high-level languages such as C or Pascal are produced by experts in program design, image analysis, and process control. Applications written this way are difficult to maintain and modify. Unless other similar inspection problems can be found, the final program is essentially one-off redundant code. A general-purpose vision system targeted for the Visual Machines Ltd. C-VAS 3000 image processing workstation, is described which will make writing image analysis software accessible to the non-expert both in programming computers and image analysis. A significant reduction in the effort required to produce vision systems, will be gained through a graphically-driven interactive application generator. Finally, an Expert System will be layered on top to guide the naive user through the process of generating an application.

  5. THE ROLE OF CORPORATE ENTREPRENEURSHIP IN COMPETITIVENESS. DATA ANALYSIS OF QUANTITATIVE. PART 4

    Directory of Open Access Journals (Sweden)

    Aneta Oniszczuk-Jastrząbek

    2016-12-01

    Full Text Available With no doubts entrepreneurship provides success to a company, because it means an ability of a person to notice gaps at the market, projecting future, looking for changes and responding to it, and using it for social and economic innovations. It is connected with introducing non-conventional, innovative solutions of a varying extent and at vari-ous areas of a company. Effects of entrepreneurial actions can be manifested by e.g. an improvement of a company image or innovations, which constitute, at the same time, a cause of changes occurring in a given time. Thus entrepreneurship can be measured by ef-fectiveness assessment because an effect in a form of a defined benefit is a result of it. An improvement of effectiveness and productivity of a company manifests itself directly as its ability to undertake competitive struggle at the market. On the other hand an ability to gain and maintain a long-term competitive advantage requires a necessity of constant in-novations and looking for new solutions, both as far as a product and organization are concerned. To assess entrepreneurship of an enterprise in the innovation area one can ac-cordingly use available data from accountancy of bodies, describing achieved economic outcomes and costs. The recommended method of researching entrepreneurship of the en-terprise has its advantages and disadvantages. To advantages one accounts its simplicity and explicitness of gathered data. All data used in this method are based upon information from books of accounts (balance sheets and the standard financial documentation. On the other hand the ambiguity of terms’ definitions, i.e. naming the same values, being elements of as-sets and resources difficult to measure, such as organizational culture of an enterprise, philosophy of operations, relations with environment or creativity, intuition, experience of employees consti-tute the disadvantage of this method.

  6. Sentiment Analysis as a Source of Gaining Competitive Advantage on the Electricity Markets

    Institute of Scientific and Technical Information of China (English)

    Wioletta Sokołowska; Tymoteusz Hossa; Karol Fabisz; Witold Abramowicz; Mateusz Kubaczyk

    2015-01-01

    Abstract-The electricity retail markets are evolving toward more competitive and customer-oriented. The deployment of smart meters and a wealth of new technologies create customers’ eagerness for taking control of their electricity consumption. By being better-informed about the energy usage, people are encouraged to switch deals among existing suppliers or move to a new energy provider. Moreover, as customers are more socially interconnected, the Internet portals and social media become a place for discussion, comparison, and evaluation of the available offers. Unfortunately, in case of the energy sector there is a lack of understanding that such information, when taken into account and properly analyzed, can be a completely new and a powerful source of competitive advantage. In the paper, we introduce a solution that the use of quasi real-time automated sentiment analysis on the energy suppliers and the relevant aspects of their offers may enable energy companies to adapt quickly to changing circumstances, prevent potential customer churn, and harness new business opportunities.

  7. Dynamic analysis of a general class of winner-take-all competitive neural networks.

    Science.gov (United States)

    Fang, Yuguang; Cohen, Michael A; Kincaid, Thomas G

    2010-05-01

    This paper studies a general class of dynamical neural networks with lateral inhibition, exhibiting winner-take-all (WTA) behavior. These networks are motivated by a metal-oxide-semiconductor field effect transistor (MOSFET) implementation of neural networks, in which mutual competition plays a very important role. We show that for a fairly general class of competitive neural networks, WTA behavior exists. Sufficient conditions for the network to have a WTA equilibrium are obtained, and rigorous convergence analysis is carried out. The conditions for the network to have the WTA behavior obtained in this paper provide design guidelines for the network implementation and fabrication. We also demonstrate that whenever the network gets into the WTA region, it will stay in that region and settle down exponentially fast to the WTA point. This provides a speeding procedure for the decision making: as soon as it gets into the region, the winner can be declared. Finally, we show that this WTA neural network has a self-resetting property, and a resetting principle is proposed.

  8. 川酒基于品牌形象的竞争优势实证研究%An Empirical Study of the Competitive Advantages of Sichuan Baijiu Based on Brand Image

    Institute of Scientific and Technical Information of China (English)

    唐承林

    2016-01-01

    采用半结构化问卷调研川酒品牌形象结构维度,在此基础上构建川酒基于品牌形象的竞争优势理论模型,分析川酒品牌形象的产品形象、公司形象、品牌个性与顾客满意和顾客忠诚之间的关系。基于调查问卷数据统计结果,运用AMOS结构方程分析软件,验证了各因素之间的关系以及川酒形象价值对竞争优势的影响。%A semi-structural questionnaire was used to investigate the structure dimension of Sichuan Baijiu brand image. On this basis, the the-oretical model of the competitive advantages of Sichuan Baijiu based on brand image was constructed to analyze the relationships between Si-chuan Baijiu product image, enterprise image, brand individuality and customer satisfaction and loyalty. Based on the statistical results of the questionnaire data, the relationships among these factors and the influence of brand image on the competitive advantages were verified using AMOS structural equation analysis software.

  9. Analysis of the Correlation between Environmental Performance in Enterprise Green Management and the Competitive Edge

    Science.gov (United States)

    Li, Xing; Yang, Zihan; Zhang, Peiyao

    2017-03-01

    In recent years, there has been an increasing concern over the topics of enterprise green management and environmental performance’s influence on a company’s competitive edge. This paper mainly analyzed the effect of enterprise green management on a company’s environmental performance and its competitive advantages, as well as environmental performance’s influence over the competitive edge. Furthermore, this paper discussed the role of environmental performance between enterprise green management and competitive edge. Objects of this study are manufactures in northwestern China which have acquired the ISO 9001 certification before December, 2014. Research discoveries shows that enterprise green management would exert positive influence on the environmental performance and its competitive edge; the environmental performance could also add significant competitive edge to a company; last but not the least, environmental performance also plays an intermediary role between enterprise green management and its competitive advantages

  10. Quantitative analysis of qualitative images

    Science.gov (United States)

    Hockney, David; Falco, Charles M.

    2005-03-01

    We show optical evidence that demonstrates artists as early as Jan van Eyck and Robert Campin (c1425) used optical projections as aids for producing their paintings. We also have found optical evidence within works by later artists, including Bermejo (c1475), Lotto (c1525), Caravaggio (c1600), de la Tour (c1650), Chardin (c1750) and Ingres (c1825), demonstrating a continuum in the use of optical projections by artists, along with an evolution in the sophistication of that use. However, even for paintings where we have been able to extract unambiguous, quantitative evidence of the direct use of optical projections for producing certain of the features, this does not mean that paintings are effectively photographs. Because the hand and mind of the artist are intimately involved in the creation process, understanding these complex images requires more than can be obtained from only applying the equations of geometrical optics.

  11. An Analysis of Competitiveness and Government Policies Impact on Development of Cocoa Farming in Indonesia

    Directory of Open Access Journals (Sweden)

    Andi Emelda

    2014-01-01

    Full Text Available Indonesian cocoa plantations from year to year increase, on the other hand decreased cocoa production andsome government policies have been carried out in order to increase exports and tried to occupy the first rank world cocoa exporting countries.This study aims to analyze (1 comparative and competitive advantages of cocoa farming in North Luwu, (2 the impact of government policies on development of cocoa farming in North Luwu.This is a descriptive analytic study. The sampling method used was purposive sampling of 40 farmers selected. Data collected through interviews, observation and documentation. Data were analyzed using the Policy Analysis Matrix (PAM.The results showed that the value of DRC and PCR of cocoa farming is respectively 0.03 and 0.04. The impact of government policies provide incentives to develop cocoa farming in North Luwu reflected NPCI value = 1.25; NPCO = 1.12, and EPC = 1.09 are all positive values.

  12. The Analysis of PM2.5 Source Apportionment Technique's Competitiveness in China

    Science.gov (United States)

    Qian, K.; Deng, L.; An, Y. B.; Liu, S. Y.; Hao, H. Z.

    Nowadays, people has paid more attention to PM2.5 in various countries of the world. PM2.5 is a kind of particulate matter whose diameter less than 2.5μm, with great damage to environment and public's health. The origin of source apportionment technique is studies of atmospheric particulate matter, it uses two mathematical models, one of them is diffusion model which study the source of pollution, and another one called receptor model which study the pollution of area. In my study, I will analyze the competitiveness of similar technology in various countries by using microscope to analyze shape characteristic, Enrichment Factor Method (EF), Factor Analyze Method (FA), EPA-CMB8.2 Model, combining with the consequence of Improved-source-analysis Technology and Orthogonal matrix decomposition Model.

  13. Analysis of the key competitive advantage resources - the case of BRF Foods

    Directory of Open Access Journals (Sweden)

    Jacir Favretto

    2016-09-01

    Full Text Available The purpose of this article is to analyze the relationship between organizational capabilities and the competitive performance of BRF Foods, using the Resource Based View method. It is a case study, developed in agribusiness with the controller of the BRF unit located in Concordia, Santa Catarina. A document analysis of sustainability and management reports was also conducted for the year 2014. It was found that technology, central planning of raw materials and centrally planned sales are considered valuable resources. Improvement of the usage conditions of natural resources (finite, through the reduction of water and energy consumption and programs for the sustainability of agriculture, pig farming and poultry farming are considered rare resources. Design, R & D, given technology, market vision and the existence of exclusive contract are difficult resources to imitate. Among the organizational resources, brand, structured distribution capacity, development of new products and market niches are particularly important.

  14. Price competition and equilibrium analysis in multiple hybrid channel supply chain

    Science.gov (United States)

    Kuang, Guihua; Wang, Aihu; Sha, Jin

    2017-06-01

    The amazing boom of Internet and logistics industry prompts more and more enterprises to sell commodity through multiple channels. Such market conditions make the participants of multiple hybrid channel supply chain compete each other in traditional and direct channel at the same time. This paper builds a two-echelon supply chain model with a single manufacturer and a single retailer who both can choose different channel or channel combination for their own sales, then, discusses the price competition and calculates the equilibrium price under different sales channel selection combinations. Our analysis shows that no matter the manufacturer and retailer choose same or different channel price to compete, the equilibrium price does not necessarily exist the equilibrium price in the multiple hybrid channel supply chain and wholesale price change is not always able to coordinate supply chain completely. We also present the sufficient and necessary conditions for the existence of equilibrium price and coordination wholesale price.

  15. WHY DO SOME NATIONS SUCCEED AND OTHERS FAIL IN INTERNATIONAL COMPETITION? FACTOR ANALYSIS AND CLUSTER ANALYSIS AT EUROPEAN LEVEL

    Directory of Open Access Journals (Sweden)

    Popa Ion

    2015-07-01

    Full Text Available As stated by Michael Porter (1998: 57, 'this is perhaps the most frequently asked economic question of our times.' However, a widely accepted answer is still missing. The aim of this paper is not to provide the BIG answer for such a BIG question, but rather to provide a different perspective on the competitiveness at the national level. In this respect, we followed a two step procedure, called “tandem analysis”. (OECD, 2008. First we employed a Factor Analysis in order to reveal the underlying factors of the initial dataset followed by a Cluster Analysis which aims classifying the 35 countries according to the main characteristics of competitiveness resulting from Factor Analysis. The findings revealed that clustering the 35 states after the first two factors: Smart Growth and Market Development, which recovers almost 76% of common variability of the twelve original variables, are highlighted four clusters as well as a series of useful information in order to analyze the characteristics of the four clusters and discussions on them.

  16. Design Criteria For Networked Image Analysis System

    Science.gov (United States)

    Reader, Cliff; Nitteberg, Alan

    1982-01-01

    Image systems design is currently undergoing a metamorphosis from the conventional computing systems of the past into a new generation of special purpose designs. This change is motivated by several factors, notably among which is the increased opportunity for high performance with low cost offered by advances in semiconductor technology. Another key issue is a maturing in understanding of problems and the applicability of digital processing techniques. These factors allow the design of cost-effective systems that are functionally dedicated to specific applications and used in a utilitarian fashion. Following an overview of the above stated issues, the paper presents a top-down approach to the design of networked image analysis systems. The requirements for such a system are presented, with orientation toward the hospital environment. The three main areas are image data base management, viewing of image data and image data processing. This is followed by a survey of the current state of the art, covering image display systems, data base techniques, communications networks and software systems control. The paper concludes with a description of the functional subystems and architectural framework for networked image analysis in a production environment.

  17. Multispectral Image Analysis for Astaxanthin Coating Classification

    DEFF Research Database (Denmark)

    Ljungqvist, Martin Georg; Ersbøll, Bjarne Kjær; Nielsen, Michael Engelbrecht

    2012-01-01

    Industrial quality inspection using image analysis on astaxanthin coating in aquaculture feed pellets is of great importance for automatic production control. The pellets were divided into two groups: one with pellets coated using synthetic astaxanthin in fish oil and the other with pellets coated...... images were pixel spectral values as well as using summary statistics such as the mean or median value of each pellet. Classification using LDA on pellet mean or median values showed overall good results. Multispectral imaging is a promising technique for noninvasive on-line quality food and feed...... products with optimal use of pigment and minimum amount of waste....

  18. Chromatic Image Analysis For Quantitative Thermal Mapping

    Science.gov (United States)

    Buck, Gregory M.

    1995-01-01

    Chromatic image analysis system (CIAS) developed for use in noncontact measurements of temperatures on aerothermodynamic models in hypersonic wind tunnels. Based on concept of temperature coupled to shift in color spectrum for optical measurement. Video camera images fluorescence emitted by phosphor-coated model at two wavelengths. Temperature map of model then computed from relative brightnesses in video images of model at those wavelengths. Eliminates need for intrusive, time-consuming, contact temperature measurements by gauges, making it possible to map temperatures on complex surfaces in timely manner and at reduced cost.

  19. Cancer detection by quantitative fluorescence image analysis.

    Science.gov (United States)

    Parry, W L; Hemstreet, G P

    1988-02-01

    Quantitative fluorescence image analysis is a rapidly evolving biophysical cytochemical technology with the potential for multiple clinical and basic research applications. We report the application of this technique for bladder cancer detection and discuss its potential usefulness as an adjunct to methods used currently by urologists for the diagnosis and management of bladder cancer. Quantitative fluorescence image analysis is a cytological method that incorporates 2 diagnostic techniques, quantitation of nuclear deoxyribonucleic acid and morphometric analysis, in a single semiautomated system to facilitate the identification of rare events, that is individual cancer cells. When compared to routine cytopathology for detection of bladder cancer in symptomatic patients, quantitative fluorescence image analysis demonstrated greater sensitivity (76 versus 33 per cent) for the detection of low grade transitional cell carcinoma. The specificity of quantitative fluorescence image analysis in a small control group was 94 per cent and with the manual method for quantitation of absolute nuclear fluorescence intensity in the screening of high risk asymptomatic subjects the specificity was 96.7 per cent. The more familiar flow cytometry is another fluorescence technique for measurement of nuclear deoxyribonucleic acid. However, rather than identifying individual cancer cells, flow cytometry identifies cellular pattern distributions, that is the ratio of normal to abnormal cells. Numerous studies by others have shown that flow cytometry is a sensitive method to monitor patients with diagnosed urological disease. Based upon results in separate quantitative fluorescence image analysis and flow cytometry studies, it appears that these 2 fluorescence techniques may be complementary tools for urological screening, diagnosis and management, and that they also may be useful separately or in combination to elucidate the oncogenic process, determine the biological potential of tumors

  20. Banking Competition Measurement and Banking Sector Performance: Analysis of 4 ASEAN Countries

    Directory of Open Access Journals (Sweden)

    Buddi Wibowo

    2017-02-01

    Full Text Available Many believe concentrated  banking industry which is dominated by few  big banks creates lower  competition, high profitability, and low efficiency. The main issue in empirical testing of this hypothesis is how to measure banking competition level. Traditional measures of competition are  concentration ratio and Herfindahl-Hirschman Index. This study uses three measures of banking level competition which are widely used in recent  financial literature: Boone Indicator, Lerner Index and H-Panzar-Rosse  statistics.  Lerner Index and H-Panzar-Rosse statistics resulted a similar competition level conclusion, while Boone Indicator produced slightly different output. Industry concentration produced opposing results with those three level of industry competition measurement methods. The results show  banking competition tend to be a monopolistic competition in ASEAN countries, especially in Indonesia which banks’ strategy basically were non-pricing strategy. Competition significantly caused lower profitability, while banking efficiency was not significantly affected by level of competition.DOI:  10.15408/sjie.v6i1.4547

  1. The Competitiveness of Exports from Manufacturing Industries in Croatia and Slovenia to the EU-15 Market: A Dynamic Panel Analysis

    Directory of Open Access Journals (Sweden)

    Nebojša Stojčić

    2012-04-01

    Full Text Available It is often stated that the growth prospects of nations are closely related to patterns of competitiveness exercised by their firms and industries in the international market. Building on foundations of endogenous growth and new trade theories academics and policy-makers postulate that quality-driven competitiveness bears higher growth potential than the ability to compete in terms of prices. The transition of Central and Eastern European Countries has been characterised by movement from the latter towards the former pattern of competitiveness. This process was facilitated by the transfer of knowledge and skills through the outsourcing of production from their most important trading partners, the West European members of the European Union (EU-15 countries, which paved the way for the development of intra-industry trade. This paper explores the competitiveness of manufacturing industries from Croatia and Slovenia in the EU-15 market. Using dynamic panel analysis we find that between 2002 and 2007 producers from the two countries followed different patterns of competitiveness. While in Slovenia the quality of exports is the main determinant of EU-15 market share, the competitiveness of Croatian producers still depends on their labour costs. We also find a strong impact of intra-industry trade on the competiveness of industries from the two countries in the EU-15 market.

  2. Image analysis of insulation mineral fibres.

    Science.gov (United States)

    Talbot, H; Lee, T; Jeulin, D; Hanton, D; Hobbs, L W

    2000-12-01

    We present two methods for measuring the diameter and length of man-made vitreous fibres based on the automated image analysis of scanning electron microscopy images. The fibres we want to measure are used in materials such as glass wool, which in turn are used for thermal and acoustic insulation. The measurement of the diameters and lengths of these fibres is used by the glass wool industry for quality control purposes. To obtain reliable quality estimators, the measurement of several hundred images is necessary. These measurements are usually obtained manually by operators. Manual measurements, although reliable when performed by skilled operators, are slow due to the need for the operators to rest often to retain their ability to spot faint fibres on noisy backgrounds. Moreover, the task of measuring thousands of fibres every day, even with the help of semi-automated image analysis systems, is dull and repetitive. The need for an automated procedure which could replace manual measurements is quite real. For each of the two methods that we propose to accomplish this task, we present the sample preparation, the microscope setting and the image analysis algorithms used for the segmentation of the fibres and for their measurement. We also show how a statistical analysis of the results can alleviate most measurement biases, and how we can estimate the true distribution of fibre lengths by diameter class by measuring only the lengths of the fibres visible in the field of view.

  3. An analysis of the sources of competition disipline in the European Union and in Albania

    Directory of Open Access Journals (Sweden)

    Eriona Katro

    2016-01-01

    Full Text Available Competition discipline in the European Union is a substantial component of the EU’s institutional framework. The Lisbon Treaty made the “internal market” a shared competence, while necessary competition rules for the internal market are an exclusive competence of the Union. This paper aims to analyse the sources of the competition discipline in the EU and in Albania focusing more on constitutional sources. From this analyses will emerge that sources of competition discipline are numerous and each of them plays an important role in the development of the competition policy. But arises the question if these sources are all equally important or not? This paper will focus also n the importance of each source in both levels: European Union and Albanian discipline of competition.

  4. How does competition structure affect industry merger waves? A network analysis perspective

    Science.gov (United States)

    Hou, Rui; Yang, Jianmei; Yao, Canzhong; McKelvey, Bill

    2015-07-01

    By taking China's beer industry as an example, this paper establishes a series of industrial competition-pressure networks and examines the correlation between competition structure and merger actions. We present a cascade dynamic-merger agent-based computational model driven by competition pressure diffusion to describe the forming process of industry merger wave. The empirical analyses and agent-based computational simulation results show that the competition structure among rivals has a strong effect on the scale, the duration time, and the stability of industry merger wave. We also give explanations on why there are different simulation results between in single market competition environment and in multi-market competition environment, as well as discuss the management implications for the industry-merger policy makers and the merger-tactics decision makers that are involved in merger wave.

  5. A Competitive Analysis on the Agricultural Products of China and Thailand in the U. S. Market

    Institute of Scientific and Technical Information of China (English)

    Aiping; YAO; Liping; WAN

    2014-01-01

    This paper selects China and Thailand as a reference object. Based on the U. S. market,it analyzes the export competitiveness of the agricultural products of China and Thailand by market share and growth rate,measures the agricultural products of China and Thailand export competition degree by export product similarity index and estimates the agricultural products of China and Thailand export competitiveness strength by shift share method. The results show that: At present,in the U. S. market,the competition of the agricultural products of China and Thailand is fierce,but export growth of China’s agricultural products is faster and more competitive. Finally on how to further improve China’s agricultural exports competitiveness in the U. S. market and promote China’s agricultural export trade to the U. S. it puts forward the related countermeasures and suggestions.

  6. STATISTICAL ANALYSIS OF COMPETITIVENESS FACTORS OF REGIONS OF THE RUSSIAN FEDERATION

    Directory of Open Access Journals (Sweden)

    O. V. Bakanach

    2015-01-01

    Full Text Available In the conditions of market economy the competition is the main driving force of economic growth. The idea about existence of the interregional competition isn't conventional and demands the proof. The phenomena allowing to state existence of the interregional competitive relations which are realized through system of prerequisites of political, economic, legal and technological character were for this purpose studied. Competitiveness – one of the most important characteristics of the territory which level directly influences formation of positive tendencies in development of subjects of the Russian Federation. Productive indicators of level of competitiveness of the region are: a gross regional product on one occupied in economy, production of a gross regional product for one ruble of fixed assets, a gross regional product for one ruble of investments, a share of balanced financial result in a gross regional product. On the basis of private indicators the Pattern method received an integrated indicator of level of competitiveness of region. The quantitative assessment of the factors determining distinctions of regions of the Russian Federation by competitiveness level allowed to define that the competitiveness variation in the territory of regions in the greatest measure depends on a variation of number of graduates of educational institutions with higher education on 1000 people and the specific weight of investments into the enterprises occupied with mining. Regional values of competitiveness are most elastic relatively the specific weight of own investments, that is increase of this indicator for 1 % causes increase of competitiveness for 0.9 %. The practical importance of this work is caused by possibility of application of results of research by federal and regional executive authorities as information representation when developing programs of increase of level of competitiveness of regions of the Russian Federation. Besides, it is

  7. ANALYSIS OF COMPETITIVENESS OF HUNGARIAN WHEAT SECTOR WITH PORTER’S DIAMOND MODEL

    OpenAIRE

    PETER KARÁCSONY

    2009-01-01

    Competitiveness – as many other scientific branches use this term – has an especially rich international special literature. A number of ways and indicators have been developed in the past decades to measure and define competitiveness, but because of its complexity it has no generally accepted general definition or measuring method. As it is hard to find a generally acceptable definition of competitiveness, the measurement levels and the measurement numbers exist in several varieties, they ar...

  8. Computational Modeling and Analysis of the Fluid Dynamics of Competitive Swimming

    Science.gov (United States)

    Mittal, Rajat

    2009-11-01

    In order to swim efficiently and/or fast, a swimmer needs to master the subtle cause-and-effect relationship that exists between his/her movements and the surrounding fluid. This is what makes swimming one of the most technical of all sports. For the most part, science has played little if any role in helping swimmers and coaches improve swimming techniques or even to better understand the fluid dynamics of human swimming. Experiments of free swimming humans are extremely difficult to conduct and computational modeling approaches have, in the past, been unable to address this very complex problem. However, the development of a new class of numerical methods, coupled with unique animation and analysis tools is making it possible to analyze swimming strokes in all their complexity. The talk will focus on describing a relatively new numerical method that has been developed to solve flows with highly complex, moving/deforming boundaries. Numerical simulations are used to perform a detailed analysis of the dolphin kick. This stroke has emerged as an important component of competitive swimming in recent years and our analysis has allowed us to extract some useful insights into the fluid dynamics of this stroke. In addition, we also address the continuing debate about the role of lift versus drag in thrust production for human swimming.

  9. Analysis of the Investment in Wood Processing and Furniture Manufacturing Entities by Key Factors of Competitiveness

    Directory of Open Access Journals (Sweden)

    Renata Ojurović

    2013-06-01

    Full Text Available Processing of wood and manufacture of wood and cork products, excluding furniture, manufacture of straw and plaiting goods (C16 and manufacture of furniture (C31 were the most competitive activities of the Republic of Croatia in the European market in the late 1980s and early 1990s. Those activities began losing their market share at the end of 1994, and no significant positive change in market competitiveness has been recorded since then. The question is how to achieve and maintain competitiveness, which is the condition of survival in an increasingly demanding environment. Preliminary and previous research on investments points to the assumption that the problem of competitiveness in the observed economic branch essentially boils down to a problem in the quality and efficiency of the investments of associated business entities. This paper tries to give answers to the following questions: What is the investment policy, is there an internal factor for lagging behind in competitiveness, what the other reasons are and how competitiveness can be achieved. By analyzing the investment in key factors of competitiveness in the period 2007 to 2010, consistently established by this paper, the existing data on investment of wood processing and furniture manufacturing entities will be identified, and an AHP investment model will be proposed that takes into account the simultaneous influence of all of the key factors of competitiveness and is the best indicator of the direction to be taken, with the final aim of achieving competitiveness.

  10. An analysis of China's global industrial competitive strength based on vertical specialization

    Institute of Scientific and Technical Information of China (English)

    ZHANG Xiaodi; SUN Jingwei

    2007-01-01

    At the beginning of the 1990s,China witnessed an increase in its international competitive strength in technology-inteusive and capital-intensive industries,and a decrease in strength in labor-intensive industries.This paper analyzes the effcct of vertical specialization on China's international industrial competitive strength,exphircs how different industries have varying reactions under its implementation,and employs theory to explain the possible causes of these reactions.It is found that vertical specialization can help to strengthen China's global industrial competitiveness,and on that basis,some suggestions are given on how to improve that competitiveness.

  11. ANALYSIS OF COMPETITIVENESS OF HUNGARIAN WHEAT SECTOR WITH PORTER’S DIAMOND MODEL

    Directory of Open Access Journals (Sweden)

    PETER KARÁCSONY

    2009-03-01

    Full Text Available Competitiveness – as many other scientific branches use this term – has an especially rich international special literature. A number of ways and indicators have been developed in the past decades to measure and define competitiveness, but because of its complexity it has no generally accepted general definition or measuring method. As it is hard to find a generally acceptable definition of competitiveness, the measurement levels and the measurement numbers exist in several varieties, they are adequate for a given research purpose, but their general extension often creates a distorted result. In my study I use the „Porter’s diamond model” to explore the competitiveness of wheat sector.

  12. Energy Games - A Grade 5 Competition, The Data Analysis and Lessons Learned

    Science.gov (United States)

    Kao, W. H.

    2016-12-01

    ISF Academy, a K-G12 school in Hong Kong with over 1500 students and currently spanning 3 buildings, is retrofitting the school with an energy tracking system in three phases. The first phase that happened during February to June 2016, has included retrofitting nine Grade 5 classrooms. In this program, the daily energy usage data from these classrooms were shown. The Grade 5 students received feedback on their energy use in real time, as they competed over four months in their homeroom classes to lower their electrical use, and subsequently their carbon footprint. This competition has successfully given the 180 Grade 5 students initiative to decrease their energy use, leading to a significant decrease in energy usage throughout this competition, compared to the baseline recorded in late 2015. The winning classroom's total energy usage was around 30% lower than the average total energy usage, showing that by using energy efficiently, energy usage in a school can be decreased by a lot. The energy tracking system installed and maintained by from Global Design Corporation utilizes uniquely identified current detectors attached to circuit breakers, to monitor electrical use of individual circuits. The detectors monitor the energy used for classroom lighting, fans and plugs, as well as the air conditioners. Further analysis can also be calculated with current data that is collected in the Phase 1 experiment, such as calculating the carbon emissions reduction throughout the school year, providing possible class learning activities and also aiding in future energy use and carbon footprint predictions. This data collected will help refine phase 2 and 3 of the installation, expanding the system to more buildings and also giving insight to the rollout of the system to the whole school when the systems are fully in place. In Phase 2, the energy tracking system would be expanded to all classrooms in the old buildings, while in Phase 3, the system would be expanded the all

  13. Medical image analysis with artificial neural networks.

    Science.gov (United States)

    Jiang, J; Trundle, P; Ren, J

    2010-12-01

    Given that neural networks have been widely reported in the research community of medical imaging, we provide a focused literature survey on recent neural network developments in computer-aided diagnosis, medical image segmentation and edge detection towards visual content analysis, and medical image registration for its pre-processing and post-processing, with the aims of increasing awareness of how neural networks can be applied to these areas and to provide a foundation for further research and practical development. Representative techniques and algorithms are explained in detail to provide inspiring examples illustrating: (i) how a known neural network with fixed structure and training procedure could be applied to resolve a medical imaging problem; (ii) how medical images could be analysed, processed, and characterised by neural networks; and (iii) how neural networks could be expanded further to resolve problems relevant to medical imaging. In the concluding section, a highlight of comparisons among many neural network applications is included to provide a global view on computational intelligence with neural networks in medical imaging. Copyright © 2010 Elsevier Ltd. All rights reserved.

  14. Fourier analysis: from cloaking to imaging

    Science.gov (United States)

    Wu, Kedi; Cheng, Qiluan; Wang, Guo Ping

    2016-04-01

    Regarding invisibility cloaks as an optical imaging system, we present a Fourier approach to analytically unify both Pendry cloaks and complementary media-based invisibility cloaks into one kind of cloak. By synthesizing different transfer functions, we can construct different devices to realize a series of interesting functions such as hiding objects (events), creating illusions, and performing perfect imaging. In this article, we give a brief review on recent works of applying Fourier approach to analysis invisibility cloaks and optical imaging through scattering layers. We show that, to construct devices to conceal an object, no constructive materials with extreme properties are required, making most, if not all, of the above functions realizable by using naturally occurring materials. As instances, we experimentally verify a method of directionally hiding distant objects and create illusions by using all-dielectric materials, and further demonstrate a non-invasive method of imaging objects completely hidden by scattering layers.

  15. Hyperspectral Image Analysis of Food Quality

    DEFF Research Database (Denmark)

    Arngren, Morten

    Assessing the quality of food is a vital step in any food processing line to ensurethe best food quality and maximum profit for the farmer and food manufacturer.Traditional quality evaluation methods are often destructive and labourintensive procedures relying on wet chemistry or subjective human...... inspection.Near-infrared spectroscopy can address these issues by offering a fast and objectiveanalysis of the food quality. A natural extension to these single spectrumNIR systems is to include image information such that each pixel holds a NIRspectrum. This augmented image information offers several...... extensions to the analysis offood quality. This dissertation is concerned with hyperspectral image analysisused to assess the quality of single grain kernels. The focus is to highlight thebenefits and challenges of using hyperspectral imaging for food quality presentedin two research directions. Initially...

  16. Deep Learning in Medical Image Analysis.

    Science.gov (United States)

    Shen, Dinggang; Wu, Guorong; Suk, Heung-Il

    2017-03-09

    This review covers computer-assisted analysis of images in the field of medical imaging. Recent advances in machine learning, especially with regard to deep learning, are helping to identify, classify, and quantify patterns in medical images. At the core of these advances is the ability to exploit hierarchical feature representations learned solely from data, instead of features designed by hand according to domain-specific knowledge. Deep learning is rapidly becoming the state of the art, leading to enhanced performance in various medical applications. We introduce the fundamentals of deep learning methods and review their successes in image registration, detection of anatomical and cellular structures, tissue segmentation, computer-aided disease diagnosis and prognosis, and so on. We conclude by discussing research issues and suggesting future directions for further improvement. Expected final online publication date for the Annual Review of Biomedical Engineering Volume 19 is June 4, 2017. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

  17. Principal Components Analysis In Medical Imaging

    Science.gov (United States)

    Weaver, J. B.; Huddleston, A. L.

    1986-06-01

    Principal components analysis, PCA, is basically a data reduction technique. PCA has been used in several problems in diagnostic radiology: processing radioisotope brain scans (Ref.1), automatic alignment of radionuclide images (Ref. 2), processing MRI images (Ref. 3,4), analyzing first-pass cardiac studies (Ref. 5) correcting for attenuation in bone mineral measurements (Ref. 6) and in dual energy x-ray imaging (Ref. 6,7). This paper will progress as follows; a brief introduction to the mathematics of PCA will be followed by two brief examples of how PCA has been used in the literature. Finally my own experience with PCA in dual-energy x-ray imaging will be given.

  18. Measuring toothbrush interproximal penetration using image analysis

    Science.gov (United States)

    Hayworth, Mark S.; Lyons, Elizabeth K.

    1994-09-01

    An image analysis method of measuring the effectiveness of a toothbrush in reaching the interproximal spaces of teeth is described. Artificial teeth are coated with a stain that approximates real plaque and then brushed with a toothbrush on a brushing machine. The teeth are then removed and turned sideways so that the interproximal surfaces can be imaged. The areas of stain that have been removed within masked regions that define the interproximal regions are measured and reported. These areas correspond to the interproximal areas of the tooth reached by the toothbrush bristles. The image analysis method produces more precise results (10-fold decrease in standard deviation) in a fraction (22%) of the time as compared to our prior visual grading method.

  19. Piecewise flat embeddings for hyperspectral image analysis

    Science.gov (United States)

    Hayes, Tyler L.; Meinhold, Renee T.; Hamilton, John F.; Cahill, Nathan D.

    2017-05-01

    Graph-based dimensionality reduction techniques such as Laplacian Eigenmaps (LE), Local Linear Embedding (LLE), Isometric Feature Mapping (ISOMAP), and Kernel Principal Components Analysis (KPCA) have been used in a variety of hyperspectral image analysis applications for generating smooth data embeddings. Recently, Piecewise Flat Embeddings (PFE) were introduced in the computer vision community as a technique for generating piecewise constant embeddings that make data clustering / image segmentation a straightforward process. In this paper, we show how PFE arises by modifying LE, yielding a constrained ℓ1-minimization problem that can be solved iteratively. Using publicly available data, we carry out experiments to illustrate the implications of applying PFE to pixel-based hyperspectral image clustering and classification.

  20. Unsupervised hyperspectral image analysis using independent component analysis (ICA)

    Energy Technology Data Exchange (ETDEWEB)

    S. S. Chiang; I. W. Ginsberg

    2000-06-30

    In this paper, an ICA-based approach is proposed for hyperspectral image analysis. It can be viewed as a random version of the commonly used linear spectral mixture analysis, in which the abundance fractions in a linear mixture model are considered to be unknown independent signal sources. It does not require the full rank of the separating matrix or orthogonality as most ICA methods do. More importantly, the learning algorithm is designed based on the independency of the material abundance vector rather than the independency of the separating matrix generally used to constrain the standard ICA. As a result, the designed learning algorithm is able to converge to non-orthogonal independent components. This is particularly useful in hyperspectral image analysis since many materials extracted from a hyperspectral image may have similar spectral signatures and may not be orthogonal. The AVIRIS experiments have demonstrated that the proposed ICA provides an effective unsupervised technique for hyperspectral image classification.

  1. An image processing analysis of skin textures

    CERN Document Server

    Sparavigna, A

    2008-01-01

    Colour and coarseness of skin are visually different. When image processing is involved in the skin analysis, it is important to quantitatively evaluate such differences using texture features. In this paper, we discuss a texture analysis and measurements based on a statistical approach to the pattern recognition. Grain size and anisotropy are evaluated with proper diagrams. The possibility to determine the presence of pattern defects is also discussed.

  2. IMAGES AND SOCIAL REPRESENTATION: SEMIOTIC ANALYSIS CONTRIBUTIONS

    Directory of Open Access Journals (Sweden)

    Izabela Gonçalves Terra

    2016-09-01

    Full Text Available The common sense knowledge formation is object of study of the Social Representation Theory, which highlights the role of communication in the production of comprehension by the subjects. The visual images favor the socialization of meanings and are active elements in the formation of social representations. Given the expressive role of the images in the formation of representational contents, this paper aims to present a semiotics analysis method for researches on social representations. The semiotic analysis of images was selected as a theoretical and methodological basis, for offering the means required for guidance for an effective research method to identify the social representations of socially shared iconic signs. The analysis method was explored by means of analytical procedures, employed for the apprehension of social representations of the feminine in posters for Brazilian Ministry of Health campaigns, which allowed access to the network of meanings associated with the analyzed visual image. It should be emphasized that the relevance of the use of semiotic analysis to analyze social representations, which presents itself as a fertile perspective for further studies expanding the possibilities of exploitation of visual content.

  3. Scanning transmission electron microscopy imaging and analysis

    CERN Document Server

    Pennycook, Stephen J

    2011-01-01

    Provides the first comprehensive treatment of the physics and applications of this mainstream technique for imaging and analysis at the atomic level Presents applications of STEM in condensed matter physics, materials science, catalysis, and nanoscience Suitable for graduate students learning microscopy, researchers wishing to utilize STEM, as well as for specialists in other areas of microscopy Edited and written by leading researchers and practitioners

  4. Visualization of Parameter Space for Image Analysis

    Science.gov (United States)

    Pretorius, A. Johannes; Bray, Mark-Anthony P.; Carpenter, Anne E.; Ruddle, Roy A.

    2013-01-01

    Image analysis algorithms are often highly parameterized and much human input is needed to optimize parameter settings. This incurs a time cost of up to several days. We analyze and characterize the conventional parameter optimization process for image analysis and formulate user requirements. With this as input, we propose a change in paradigm by optimizing parameters based on parameter sampling and interactive visual exploration. To save time and reduce memory load, users are only involved in the first step - initialization of sampling - and the last step - visual analysis of output. This helps users to more thoroughly explore the parameter space and produce higher quality results. We describe a custom sampling plug-in we developed for CellProfiler - a popular biomedical image analysis framework. Our main focus is the development of an interactive visualization technique that enables users to analyze the relationships between sampled input parameters and corresponding output. We implemented this in a prototype called Paramorama. It provides users with a visual overview of parameters and their sampled values. User-defined areas of interest are presented in a structured way that includes image-based output and a novel layout algorithm. To find optimal parameter settings, users can tag high- and low-quality results to refine their search. We include two case studies to illustrate the utility of this approach. PMID:22034361

  5. The Impact of Skills Development on Competitiveness: Empirical Evidence from a Cross-Country Analysis

    Science.gov (United States)

    Onsomu, Eldah N.; Ngware, Moses W.; Manda, Damiano K.

    2010-01-01

    In the past half-century, most countries have emphasized the development of human capital as an instrument for economic growth, sustainable development, and improved global competitiveness. However, limited evidence exists on the link between skills development and a country's competitiveness. This paper examines the contribution and association…

  6. Analysis of competition performance in dressage and show jumping of Dutch Warmblood horses

    NARCIS (Netherlands)

    Rovere, G.; Ducro, B.J.; Arendonk, van J.A.M.; Norberg, E.; Madsen, P.

    2016-01-01

    Most Warmblood horse studbooks aim to improve the performance in dressage and show jumping. The Dutch Royal Warmblood Studbook (KWPN) includes the highest score achieved in competition by a horse to evaluate its genetic ability of performance. However, the records collected during competition are

  7. Analysis of Individual Tree Competition Effect on Diameter Growth of Silver Birch in Estonia

    Directory of Open Access Journals (Sweden)

    Kobra Maleki

    2015-08-01

    Full Text Available Aim of study: The present study evaluates a set of competition indices including spatially explicit indices combined with different competitor selection approaches and non-spatially explicit competition indices. The aim was to quantify and describe the neighbouring effects on the tree diameter growth of silver birch trees. Area of study: Region throughout Estonia. Material and methods: Data from the Estonian Network of Forest Research Plots was used. After quantifying the selected indices, the best non-spatial indices and spatial indices (combined with neighbour selection methods were separately devised into a growth model as a predictor variable to assess the ability of the diameter growth model before and after adding competition measures. To test the species-specific effect on the competition level, the superior indices were recalculated using Ellenberg’s light indicators and incorporated into the diameter growth model. Main results: Statistical analyses showed that the diameter growth is a function of neighbourhood interactions and spatial indices were better growth predictors than non-spatial indices. In addition, the best selections of competitive neighbours were acquired based on the influence zone and the competition elimination angle concepts, and using Ellenberg’s light values had no significant improvement in quantifying the competition effects. Research highlights: Although the best ranking spatial competition measures were superior to the best non-spatial indices, the differences were negligible.

  8. Investigating blue ocean v. competitive strategy: A statistical analysis of the retail industry

    NARCIS (Netherlands)

    Burke, A.; van Stel, A.; Thurik, R.

    2008-01-01

    The recent work of Kim and Mauborgne (2005a) has sought to turn strategic management on its head. They note that the field has been dominated by Porter’s (1980, 1985) competitive strategy and it has placed too much emphasis on the importance of competition and rivalry. By contrast they argue in

  9. A Comparative Analysis of the Use of Competitive Intelligence Tools in a Multinational Corporation

    Science.gov (United States)

    Breese-Vitelli, Jennifer

    2011-01-01

    With the growth of the global economy, organizations large and small are increasingly recognizing that competitive intelligence (CI) is essential to compete in industry. Competitive intelligence is used to gain an advantage in commerce and is useful for analyzing a company's strategic industry position. To remain current and profitable,…

  10. Competition in the Dutch hospital sector: an analysis of health care volume and cost.

    Science.gov (United States)

    Krabbe-Alkemade, Y J F M; Groot, T L C M; Lindeboom, M

    2017-03-01

    This paper evaluates the impact of market competition on health care volume and cost. At the start of 2005, the financing system of Dutch hospitals started to be gradually changed from a closed-end budgeting system to a non-regulated price competitive prospective reimbursement system. The gradual implementation of price competition is a 'natural experiment' that provides a unique opportunity to analyze the effects of market competition on hospital behavior. We have access to a unique database, which contains hospital discharge data of diagnosis treatment combinations (DBCs) of individual patients, including detailed care activities. Difference-in-difference estimates show that the implementation of market-based competition leads to relatively lower total costs, production volume and number of activities overall. Difference-in-difference estimates on treatment level show that the average costs for outpatient DBCs decreased due to a decrease in the number of activities per DBC. The introduction of market competition led to an increase of average costs of inpatient DBCs. Since both volume and number of activities have not changed significantly, we conclude that the cost increase is likely the result of more expensive activities. A possible explanation for our finding is that hospitals look for possible efficiency improvements in predominantly outpatient care products that are relatively straightforward, using easily analyzable technologies. The effects of competition on average cost and the relative shares of inpatient and outpatient treatments on specialty level are significant but contrary for cardiology and orthopedics, suggesting that specialties react differently to competitive incentives.

  11. Investigating blue ocean v. competitive strategy: A statistical analysis of the retail industry

    NARCIS (Netherlands)

    Burke, A.; van Stel, A.; Thurik, R.

    2008-01-01

    The recent work of Kim and Mauborgne (2005a) has sought to turn strategic management on its head. They note that the field has been dominated by Porter’s (1980, 1985) competitive strategy and it has placed too much emphasis on the importance of competition and rivalry. By contrast they argue in favo

  12. The Analysis of Competitiveness of China’s Textiles and Clothing

    Institute of Scientific and Technical Information of China (English)

    2009-01-01

    This essay,starting with the development of the textile trade in China,analyzed the competitiveness of China’s textiles and clothing industry,by means of two indexes:international market share and competitiveness index,combining with the factors of influencing the trade of China’s textiles,finally got the conclusion.

  13. Information Systems, Competitive Dynamics, and Firm Performance: An Interpretive and Centering Resonance Analysis

    Science.gov (United States)

    Vannoy, Sandra A.

    2010-01-01

    This dissertation examines, from a managerial interpretive perspective, how information systems contribute to firms' specific competitive actions and responses, and the resultant impacts upon firm performance. The findings from this research suggest that the answer may well lie within the role of information systems in firms' competitive dynamics…

  14. Investigating blue ocean v. competitive strategy: A statistical analysis of the retail industry

    NARCIS (Netherlands)

    Burke, A.; van Stel, A.; Thurik, R.

    2008-01-01

    The recent work of Kim and Mauborgne (2005a) has sought to turn strategic management on its head. They note that the field has been dominated by Porter’s (1980, 1985) competitive strategy and it has placed too much emphasis on the importance of competition and rivalry. By contrast they argue in favo

  15. Ex-Post-Facto Analysis of Competitive Employment Outcomes for Individuals with Mental Retardation: National Perspective

    Science.gov (United States)

    Moore, Corey L.; Harley, Debra A.; Gamble, David

    2004-01-01

    Disparities in proportions of competitive job placements and provision of vocational rehabilitation services by level of mental retardation were identified for 28,565 individuals. Chi-square results reveal that consumers with mild mental retardation are significantly more likely to achieve competitive jobs compared to those with more severe…

  16. Why Competition May Discourage Students from Learning. A Behavioral Economic Analysis.

    Science.gov (United States)

    Wang, X. Henry; Yang, Bill Z.

    2003-01-01

    Combines the concept of self-worth in sociology and educational psychology with economic modeling to analyze the influence of competition on student learning. Finds, for example, that students prone to negative self-worth are motivated not to study hard in courses involving strong competition, thereby adopting a strategy of winning by not losing.…

  17. THE ANALYSIS OF COMPETITIVENESS IN THE TOURISM SECTOR IN THE ACTUAL CONTEXT OF ECONOMIC CRISIS

    Directory of Open Access Journals (Sweden)

    Vasile ROBU

    2009-06-01

    Full Text Available The past few years have witnessed many storms in the Tourism sector. Under the influence of an extremely volatile world economy (financial crisis, commodity and oil price rises, sharp exchange rate fluctuations, increase terrorism acts in several region with tourism potential Tourism demand slowed significantly. Yet, despite the current difficulties, the Tourism sector remains a critical economic sector worldwide and one that provides significant potential for economic growth and development internationally. A growing national Tourism sector contributes to raises national income, employment, and can improve a country's balance of payments. The sector is thus an important driver of growth and prosperity and,  within developing countries, it can play a leading role in poverty reduction. Despite the overall importance of developing the Tourism sector, many obstacles at the national level continue to hinder its development. This analysis aims to serve two purposes. First, we intend to provide useful comparative information for making decisions related to business and tourism development. Second, and more importantly, we hope that the analysis provides an opportunity for the Tourism industry to highlight the obstacles to Tourism competitiveness.

  18. Patent trend and competitive analysis of cancer immunotherapy in the United States.

    Science.gov (United States)

    Pan, Chia-Lin; Chen, Feng-Chi

    2017-09-07

    Immunotherapy has brought high hopes for cancer treatment, and attracted tremendous resources from the biopharmaceutical community. Here we analyze cancer immunotherapy-related patents granted by the United States Patent and Trademark Office in the past decade (2006-2016). A total of 2,229 patents were identified in 13 subfields. The growth of patent number in this field has outpaced the background rate, with cytokine-related therapies, immune checkpoint inhibitors, and natural killer cell therapies growing the most rapidly. The top 15 assignees possess 27.6% (616) of the patents. Amgen is the largest patent holder, followed by Novartis, and then by Chugai Seiyaku. The top assignees have focused on different subfields, and collaborated with each other for technology development. Our competitive analysis reveals that Novartis, Chugai Seiyaku, and Abbvie lead in both patent number and average quality of patents. Meanwhile, Immunomedics owns a high-quality though relatively small patent portfolio in single-chain variable fragment technology, which is not the focus of the abovementioned forerunners. Overall, our analysis illustrates an ecosystem where industry giants and smaller-size players each occupies a niche. Selection and succession are expected to continue for years in this young ecosystem.

  19. High-Technology Trade Pattern Analysis: Its Use and Application for Industry Competitiveness Response and Government Policy Development

    OpenAIRE

    Holbrook, J. A.

    1995-01-01

    The Canadian Advanced Technology Association (CATA) in collaboration with Industry Canada, sponsored a workshop on high-technology trade statistics in Ottawa, 19 October 1995. The purpose of the workshop was to review various approaches to high-technology trade pattern analysis, its use, and application for industrial competitiveness responses and government policy development.

  20. Evolutionary Game Analysis of Competitive Information Dissemination on Social Networks: An Agent-Based Computational Approach

    Directory of Open Access Journals (Sweden)

    Qing Sun

    2015-01-01

    Full Text Available Social networks are formed by individuals, in which personalities, utility functions, and interaction rules are made as close to reality as possible. Taking the competitive product-related information as a case, we proposed a game-theoretic model for competitive information dissemination in social networks. The model is presented to explain how human factors impact competitive information dissemination which is described as the dynamic of a coordination game and players’ payoff is defined by a utility function. Then we design a computational system that integrates the agent, the evolutionary game, and the social network. The approach can help to visualize the evolution of % of competitive information adoption and diffusion, grasp the dynamic evolution features in information adoption game over time, and explore microlevel interactions among users in different network structure under various scenarios. We discuss several scenarios to analyze the influence of several factors on the dissemination of competitive information, ranging from personality of individuals to structure of networks.

  1. Application of Fuzzy Comprehensive Evaluation to Air-conditioning Competitive Power Analysis

    Institute of Scientific and Technical Information of China (English)

    LU Congda; LIU Gaojin; JIANG Shaofei; LV Chaoqun

    2006-01-01

    As the conceptual design of air-conditioning is done using the theory of Quality Function Deployment (QFD), customer requirements should be understood and the product competitive power be analyzed as exactly as possible for new product designing. Lots of information in the process of this research is fuzzy and uncertain, but traditional QFD can not deal with it well. Fuzzy theory can solve the problem. So a fuzzy model for analyzing product competitive power is formulated in this paper to improve traditional QFD, after that it is applied to analyze air-conditioning competitive power. When air-conditioning competitive power is analyzed using this model, firstly the importance weight of the customer requirements of air-conditioning is determined using the Analytic Hierarchy Process (AHP) weighting process, then air-conditioning competitive power is evaluated using fuzzy comprehensive evaluation. It is proved that the model is feasible and has good applicability.

  2. Web Based Distributed Coastal Image Analysis System Project

    Data.gov (United States)

    National Aeronautics and Space Administration — This project develops Web based distributed image analysis system processing the Moderate Resolution Imaging Spectroradiometer (MODIS) data to provide decision...

  3. Biomechanics analysis of competition exercise «2/4 salto Front Layout» of skilled sportsmen.

    Directory of Open Access Journals (Sweden)

    Batieieva N.P.

    2012-09-01

    Full Text Available The biomechanics analysis of competition exercise is presented in acrobatic rock-and-roll. The trajectory of moving of general centre of gravity (GCG of body of partner, parameters of motion of GCG of partner, is rotined on a vertical line. Certain and described phases of implementation of competition exercise "2/4 salto Front Layout to catch". Sportsmen - Champions of Ukraine of 2011 took part in an experiment. The trajectories of motion of body of sportsman are built in the supporting and unsupported phases of motion. Developed and offered method of implementation of competition exercise. The features of sportsmans and partner are formulated for the improvement of technique of implementation of exercise. This method is also recommended for the improvement of sense of partner and partner in forming of technique of motion of implementation of catch.

  4. Sustainability Analysis and Buy-Back Coordination in a Fashion Supply Chain with Price Competition and Demand Uncertainty

    Directory of Open Access Journals (Sweden)

    Fan Wang

    2016-12-01

    Full Text Available Supply chain sustainability has become significantly important in the fashion industry, and more and more fashion brands have invested in developing sustainable supply chains. We note that dual channel system comprising a brand-owned direct channel and retail outsourcing channel is quite common in the fashion industry, and in the latter, buy-back contract is popular between brands and retailers. Therefore, we build a stylized dual channel model with price competition and demand uncertainty to characterize the main properties of a fashion supply chain. Our foci are the sustainability analysis and the channel coordination mechanism. We first design a buy-back contract with return cost to coordinate the channel. We then study supply chain sustainability and examine the effect of two key influencing factors, i.e., price competition and demand uncertainty. Interestingly, we find that a fiercer price competition will lead to a more sustainable supply chain. From the perspective of supply chain managers, we conclude that (1 if managers care about environmental sustainability, fierce price competition is not a suggested strategy; (2 if managers care about economic sustainability, fierce price competition is an advantageous strategy. We also find that high demand uncertainty results in a less sustainable supply chain, in both an environmental and economic sustainability sense.

  5. Competitive Market Analysis of Transplant Centers and Discrepancy of Wait-Listing of Recipients for Kidney Transplantation.

    Science.gov (United States)

    Cho, P S; Saidi, R F; Cutie, C J; Ko, D S C

    2015-01-01

    There are over 250 kidney transplant programs in the USA. To determine if highly competitive regions, defined as regions with a higher number of transplant centers, will approve and wait-list more end-stage renal disease (ESRD) candidates for transplant despite consistent incidence and prevalence of ESRD nationwide. ESRD Network and OPTN data completed in 2011 were obtained from all transplant centers including listing data, market saturation, market share, organs transplanted, and ESRD prevalence. Herfindahl-Hirschman Index (HHI) was used to measure the size of firms in relation to the industry to determine the amount of competition. States were separated into 3 groups (HHI1800 considered highly concentrated). The percentage of ESRD patients listed in competitive, moderate, and highly concentrated regions were 19.73%, 17.02%, and 13.75%, respectively. The ESRD listing difference between competitive versus highly concentrated was significant (pmarket share. Our analysis of the available national data suggests a discrepancy in access for ESRD patient to transplantation due to transplant center competition.

  6. Image analysis for ophthalmological diagnosis image processing of Corvis ST images using Matlab

    CERN Document Server

    Koprowski, Robert

    2016-01-01

    This monograph focuses on the use of analysis and processing methods for images from the Corvis® ST tonometer. The presented analysis is associated with the quantitative, repeatable and fully automatic evaluation of the response of the eye, eyeball and cornea to an air-puff. All the described algorithms were practically implemented in MATLAB®. The monograph also describes and provides the full source code designed to perform the discussed calculations. As a result, this monograph is intended for scientists, graduate students and students of computer science and bioengineering as well as doctors wishing to expand their knowledge of modern diagnostic methods assisted by various image analysis and processing methods.

  7. Digital image sequence processing, compression, and analysis

    CERN Document Server

    Reed, Todd R

    2004-01-01

    IntroductionTodd R. ReedCONTENT-BASED IMAGE SEQUENCE REPRESENTATIONPedro M. Q. Aguiar, Radu S. Jasinschi, José M. F. Moura, andCharnchai PluempitiwiriyawejTHE COMPUTATION OF MOTIONChristoph Stiller, Sören Kammel, Jan Horn, and Thao DangMOTION ANALYSIS AND DISPLACEMENT ESTIMATION IN THE FREQUENCY DOMAINLuca Lucchese and Guido Maria CortelazzoQUALITY OF SERVICE ASSESSMENT IN NEW GENERATION WIRELESS VIDEO COMMUNICATIONSGaetano GiuntaERROR CONCEALMENT IN DIGITAL VIDEOFrancesco G.B. De NataleIMAGE SEQUENCE RESTORATION: A WIDER PERSPECTIVEAnil KokaramVIDEO SUMMARIZATIONCuneyt M. Taskiran and Edward

  8. Electricity prices in a competitive environment: Marginal cost pricing of generation services and financial status of electric utilities. A preliminary analysis through 2015

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1997-08-01

    The emergence of competitive markets for electricity generation services is changing the way that electricity is and will be priced in the United States. This report presents the results of an analysis that focuses on two questions: (1) How are prices for competitive generation services likely to differ from regulated prices if competitive prices are based on marginal costs rather than regulated {open_quotes}cost-of-service{close_quotes} pricing? (2) What impacts will the competitive pricing of generation services (based on marginal costs) have on electricity consumption patterns, production costs, and the financial integrity patterns, production costs, and the financial integrity of electricity suppliers? This study is not intended to be a cost-benefit analysis of wholesale or retail competition, nor does this report include an analysis of the macroeconomic impacts of competitive electricity prices.

  9. Analysis of Reasons for Participating in Competitions for Young Sport Climbers

    Directory of Open Access Journals (Sweden)

    Uroš Perko

    2014-12-01

    Full Text Available The aim of the study was to determine, how young sports climbers evaluate reasons for participating in climbing competitions. For this purpose we interviewed 125 competitors of both genders, year of birth 2002 and younger. Children were participating in the competitions for East and West League in the youngest category. Data were collected with a close-ended questionnaire. The acquired data were processed with SPSS software programme; frequencies were carried out. Mean age was 8.9 years. Most young athletes, 42.4%, attend competitions with the purpose of gaining new experience, followed by those whose main goal is good climbing. These are 40.8%. 14.4% attend competitions to achieve good result and 2.4% for reason of socializing. 19.2% of children don't care if they don't reach the top of the climbing route, but 80.8% are slightly to quite dissatisfied. The study shows that internal motivation is dominant in young climbers. Mostly they attend competitions to gain new experience and to show good climbing. If they don't reach the top of the climbing route, they leave competition unsatisfied. It would be reasonable to consider the study results in the organization of competitions for youngest categories.

  10. Does competition improve financial stability of the banking sector in ASEAN countries? An empirical analysis.

    Science.gov (United States)

    Noman, Abu Hanifa Md; Gee, Chan Sok; Isa, Che Ruhana

    2017-01-01

    This study examines the influence of competition on the financial stability of the commercial banks of Association of Southeast Asian Nation (ASEAN) over the 1990 to 2014 period. Panzar-Rosse H-statistic, Lerner index and Herfindahl-Hirschman Index (HHI) are used as measures of competition, while Z-score, non-performing loan (NPL) ratio and equity ratio are used as measures of financial stability. Two-step system Generalized Method of Moments (GMM) estimates demonstrate that competition measured by H-statistic is positively related to Z-score and equity ratio, and negatively related to non-performing loan ratio. Conversely, market power measured by Lerner index is negatively related to Z-score and equity ratio and positively related to NPL ratio. These results strongly support the competition-stability view for ASEAN banks. We also capture the non-linear relationship between competition and financial stability by incorporating a quadratic term of competition in our models. The results show that the coefficient of the quadratic term of H-statistic is negative for the Z-score model given a positive coefficient of the linear term in the same model. These results support the non-linear relationship between competition and financial stability of the banking sector. The study contains significant policy implications for improving the financial stability of the commercial banks.

  11. Does competition improve financial stability of the banking sector in ASEAN countries? An empirical analysis

    Science.gov (United States)

    Gee, Chan Sok; Isa, Che Ruhana

    2017-01-01

    This study examines the influence of competition on the financial stability of the commercial banks of Association of Southeast Asian Nation (ASEAN) over the 1990 to 2014 period. Panzar-Rosse H-statistic, Lerner index and Herfindahl-Hirschman Index (HHI) are used as measures of competition, while Z-score, non-performing loan (NPL) ratio and equity ratio are used as measures of financial stability. Two-step system Generalized Method of Moments (GMM) estimates demonstrate that competition measured by H-statistic is positively related to Z-score and equity ratio, and negatively related to non-performing loan ratio. Conversely, market power measured by Lerner index is negatively related to Z-score and equity ratio and positively related to NPL ratio. These results strongly support the competition-stability view for ASEAN banks. We also capture the non-linear relationship between competition and financial stability by incorporating a quadratic term of competition in our models. The results show that the coefficient of the quadratic term of H-statistic is negative for the Z-score model given a positive coefficient of the linear term in the same model. These results support the non-linear relationship between competition and financial stability of the banking sector. The study contains significant policy implications for improving the financial stability of the commercial banks. PMID:28486548

  12. Where Pakistan Stands Among Top Rice Exporting Countries, an Analysis of Competitiveness

    Institute of Scientific and Technical Information of China (English)

    Muhammad Abdullah; Jia Li; Sidra Ghazanfar; Jaleel Ahmed; Imran Khan; Mazhir Nadeem Ishaq

    2015-01-01

    Under the umbrella of WTO, the reduction in trade barriers has forced the policy makers to focus on the export competitiveness. Rice is an important source for foreign exchange earnings for the economy of Pakistan, keeping in mind of this fact, the competitiveness of Pakistan's rice with other major exporters was examined by applying revealed competitive advantage. The domestic consumption trends of rice among the major rice exporting countries were also analyzed in the current study. The results revealed that as compare to other major exporters of rice in the world, Pakistan had high competitive and comparative advantage in the production of rice. The comparison of the movements in comparative advantage indices for Pakistan with the major world rice competitors/exporters showed that Pakistan possessed relatively high comparative and competitive advantages in rice production. The declining domestic per capita consumption of rice and increasing trends in competitiveness for Pakistan clearly revealed the expected potential of higher growth which meant that rice exports from Pakistan could continue to play an important role for the earnings of foreign exchange. In order to exploit the potential benefits of rice exports, we need to strengthen the competitiveness in rice sector of Pakistan.

  13. A comparative Study of manufacturing industrial Competitiveness in eastern coastal provinces and cities of China based on shift-share analysis model

    Institute of Scientific and Technical Information of China (English)

    Yuan Aizhi

    2009-01-01

    Manufacturing industry is an important symbol which weighs a local economy comprehensive strength and modernized level, and a mighty manufacturing industry is a reliable guarantee which realizes the industry modernization.The manufacturing industry in eastern coastal provinces and cities of China, including Shandong, Jiangsu Zhejiang, Shanghai and Guangdong, holds a quite high proportion, and is competitive.But as to the interior, the manufacturing industry competitiveness of five provinces and cities actually has obviously gradient difference.The concrete profession's competitiveness also has the characteristic respectively.This paper analyzes the competitiveness of manufacturing industry in five provinces and cities by the shift-share analysis, obtains a conclusion that Shandong and Zhejiang have the competitive advantage in the traditional manufacturing industry, that Jiangsu's and Guangdong's competitiveness lies in capital, technology-intensive industry, but that Shanghai manufacturing industry's competitive advantage is not obvious, and then proposes strategy to promote the manufacturing industry in the eastern coastal provinces and cities.

  14. Customer social network affects marketing strategy: A simulation analysis based on competitive diffusion model

    Science.gov (United States)

    Hou, Rui; Wu, Jiawen; Du, Helen S.

    2017-03-01

    To explain the competition phenomenon and results between QQ and MSN (China) in the Chinese instant messaging software market, this paper developed a new population competition model based on customer social network. The simulation results show that the firm whose product with greater network externality effect will gain more market share than its rival when the same marketing strategy is used. The firm with the advantage of time, derived from the initial scale effect will become more competitive than its rival when facing a group of common penguin customers within a social network, verifying the winner-take-all phenomenon in this case.

  15. A PATH ANALYTICAL ANALYSIS OF ORGANIZATIONAL INTEGRATION PRACTICES' EFFECTS ON MANUFACTURING FLEXIBILITY AND COMPETITIVE ADVANTAGE

    Institute of Scientific and Technical Information of China (English)

    Mei CAO; Qingyu ZHANG

    2008-01-01

    To cope with an increasingly turbulent environment, manufacturing firms increasingly implement integration practices to enhance flexibility in the production process. This research develops a framework to explore the relationships among organizational integration practices, manufacturing flexibility, and competitive advantage. The study develops valid and reliable instruments to measure these constructs, and it applies structural equation modeling to test relationships among these variables using a large sample. The results indicate strong, positive, and direct relationships between organizational integration practices and manufacturing flexibility, and between manufacturing flexibility and competitive advantage. The results also indicate that organizational integration practices enhance competitive advantage directly as well as indirectly by facilitating manufacturing flexibility.

  16. An Analysis on Export Competitiveness of Vegetables from China to ASEAN

    Institute of Scientific and Technical Information of China (English)

    Shiwei; WANG

    2015-01-01

    The establishment of China-ASEAN Free Trade Area has promoted the friendly bilateral economic cooperation,and ASEAN has become one of the largest vegetable export markets for China. Using constant market share( CMS) model,this paper analyzes the export competitiveness of vegetables from China to ASEAN and the main influencing factors. The results show that competitiveness is the main factor in promoting the export growth of vegetables from China to ASEAN,and compared with demand effect and structure effect,competitiveness effect makes the greatest contribution to export growth.

  17. Relative efficiency benefits of wholesale and retail competition in electricity: An analysis and a research agenda

    Energy Technology Data Exchange (ETDEWEB)

    Bohi, D R; Palmer, K L [Resources for the Future, Inc., Washington, DC (United States)

    1996-03-01

    A central issue in the debate over restructuring the electric power industry is the extent to which the market should be open to competition. One aspect of this debate is whether competition ought to be restricted to the whole sale power market or be extended to final retail consumers. This report begins to explore the potential differences in economic efficiency between wholesale and retail competition in the electric power industry. The two market-structure scenarios are defined and the factors responsible for differences in efficiency are described. The report also contains an assessment of the relative importance of the factors and recommendations for pursuing further research.

  18. Collaboration and competition in a children's health initiative coalition: a network analysis.

    Science.gov (United States)

    Valente, Thomas W; Coronges, Kathryn A; Stevens, Gregory D; Cousineau, Michael R

    2008-11-01

    Activating communities to achieve public health change and initiate policy reform usually requires collective action from many entities. This case study analyzes inter-organizational networks among members of a coalition created to expand health insurance coverage to uninsured children in a large metropolitan area. Six networks were measured: collaboration, competition, formal agreements, receive funding from, send funding to, and greater communication. The response rate was 65.8% (50 of the 76 active members). Positive network questions such as "who do you collaborate with" elicited many network choices whereas negative ones such as "who do you compete with" elicited few. The collaboration network had a core-periphery structure and analysis showed that a large network can be reduced to a small set of core organizations one-sixth the size of the whole. Centrality (out- and in-degree) was associated with perceived organizational function and perceived barriers to success. For example, organizations that received many choices as collaboration partners were more likely to perceive the coalition functioned well than those who received few choices. The study suggests that perceptions of organizational performance are associated with position in the network, central members are more likely to perceive the organization performs well than those on the periphery.

  19. Competitive chemiluminescent enzyme immunoassay for vitamin B12 analysis in human milk.

    Science.gov (United States)

    Hampel, Daniela; Shahab-Ferdows, Setareh; Domek, Joseph M; Siddiqua, Towfida; Raqib, Rubhana; Allen, Lindsay H

    2014-06-15

    Recent discoveries of matrix interferences by haptocorrin (HC) in human milk and serum show that past analyses of vitamin B12 in samples with high HC content might have been inaccurate (Lildballe et al., 2009; Carmel & Agrawal, 2012). We evaluated two competitive enzyme-binding immunoassays for serum/plasma (IMMULITE and SimulTRAC-SNB) for B12 analysis in human milk. B12-recovery rates (United States Environmental Protection Agency, 2007) were determined to be 78.9 ± 9.1% with IMMULITE and 225 ± 108% (range 116-553%) using SimulTRAC-SNB, most likely due to the presence of excess HC. HC-interferences were not observed with the IMMULITE assay, rendering previously reported mandatory HC-removal (Lildballe et al., 2009) unnecessary. Linearity continued at low B12-concentrations (24-193 pM; r(2)>0.985). Milk B12 concentrations from Bangladeshi women (72-959 pM) were significantly lower than those from California (154-933 pM; pmilk matrix and its ability to measure low milk B12 concentrations.

  20. Quantitative Analysis in Nuclear Medicine Imaging

    CERN Document Server

    2006-01-01

    This book provides a review of image analysis techniques as they are applied in the field of diagnostic and therapeutic nuclear medicine. Driven in part by the remarkable increase in computing power and its ready and inexpensive availability, this is a relatively new yet rapidly expanding field. Likewise, although the use of radionuclides for diagnosis and therapy has origins dating back almost to the discovery of natural radioactivity itself, radionuclide therapy and, in particular, targeted radionuclide therapy has only recently emerged as a promising approach for therapy of cancer and, to a lesser extent, other diseases. As effort has, therefore, been made to place the reviews provided in this book in a broader context. The effort to do this is reflected by the inclusion of introductory chapters that address basic principles of nuclear medicine imaging, followed by overview of issues that are closely related to quantitative nuclear imaging and its potential role in diagnostic and therapeutic applications. ...

  1. Fast image analysis in polarization SHG microscopy.

    Science.gov (United States)

    Amat-Roldan, Ivan; Psilodimitrakopoulos, Sotiris; Loza-Alvarez, Pablo; Artigas, David

    2010-08-02

    Pixel resolution polarization-sensitive second harmonic generation (PSHG) imaging has been recently shown as a promising imaging modality, by largely enhancing the capabilities of conventional intensity-based SHG microscopy. PSHG is able to obtain structural information from the elementary SHG active structures, which play an important role in many biological processes. Although the technique is of major interest, acquiring such information requires long offline processing, even with current computers. In this paper, we present an approach based on Fourier analysis of the anisotropy signature that allows processing the PSHG images in less than a second in standard single core computers. This represents a temporal improvement of several orders of magnitude compared to conventional fitting algorithms. This opens up the possibility for fast PSHG information with the subsequent benefit of potential use in medical applications.

  2. Comparative analysis of competitive activity parameters of amateur boxers high qualification

    Directory of Open Access Journals (Sweden)

    Martsiv V.P.

    2014-11-01

    Full Text Available Purpose : analyze competitive activity of boxers of high qualifications in different time periods in the development of boxing. Material : 142 analyzed boxing matches at the Olympic Games 2012. Results : present indicators of competitive activity of boxers. Shows the comparative characteristics of the battles that took place under different formulas of competitive activity in different periods of the development of amateur boxing. It is shown that increasing the skills of athletes appear to increase the density of hits in combat. As a result of innovations in the rules of the competition, boxing match was different higher intensity combat, attacking actions began to perform at a higher speed mode. Conclusions : As a result of the transition to the new formula of fighting to increase the density of the match. Also a 3-fold increase in the number of strikes indicator, surviving on target. Increased efficiency factor strikes, which leads to the expansion of effective technical and tactical actions.

  3. Competitive capabilities among manufacturing plants in developing, emerging, and industrialized countries : A comparative analysis

    NARCIS (Netherlands)

    Schoenherr, T.; Power, D.; Narasimhan, R.; Samson, D.

    2012-01-01

    Competitive capabilities have been defined as a plant's actual performance relative to its competitors, with the most commonly investigated capabilities being quality, delivery, flexibility, and cost. However, most research in this realm has investigated capabilities within developed countries, and

  4. Image Processing and Analysis for DTMRI

    Directory of Open Access Journals (Sweden)

    Kondapalli Srinivasa Vara Prasad

    2012-01-01

    Full Text Available This paper describes image processing techniques for Diffusion Tensor Magnetic Resonance. In Diffusion Tensor MRI, a tensor describing local water diffusion is acquired for each voxel. The geometric nature of the diffusion tensors can quantitatively characterize the local structure in tissues such as bone, muscles, and white matter of the brain. The close relationship between local image structure and apparent diffusion makes this image modality very interesting for medical image analysis. We present a decomposition of the diffusion tensor based on its symmetry properties resulting in useful measures describing the geometry of the diffusion ellipsoid. A simple anisotropy measure follows naturally from this analysis. We describe how the geometry, or shape, of the tensor can be visualized using a coloring scheme based on the derived shape measures. We show how filtering of the tensor data of a human brain can provide a description of macro structural diffusion which can be used for measures of fiber-tract organization. We also describe how tracking of white matter tracts can be implemented using the introduced methods. These methods offers unique tools for the in vivo demonstration of neural connectivity in healthy and diseased brain tissue.

  5. Modeling and Analysis of Wholesale Competitive Electricity Markets: A Case For Zambia

    OpenAIRE

    E. Moyo,; B. R. Pokhrel

    2015-01-01

    Electricity markets all over the world are moving towards greater reliance on competition and this has become a global trend as a method of best practice. However, before competition is introduced in electricity markets it is imperative to model and assess the behavior of the market. The assessment includes calculating the market performance indices to determine the levels of market power exploitation by the Generating Companies (GenCos) that will participate in the market. This p...

  6. Analysis of the effects of bank competition on stability and efficiency : A European perspective

    OpenAIRE

    Leroy, Aurelien

    2016-01-01

    The experience of the “Great Recession” has led economists and policymakers to pay particular attention tofinancial stability. It also lead them to think how to get out of this recession, and particularly on the meansof financing the emergence of a new, more sustainable growth model. In this context, this thesis studies theinfluence of bank competition on stability and efficiency in order to shed light on the debate about the optimallevel of bank competition in Europe. For this purpose, we fi...

  7. Competitiveness channel in Poland and Slovakia: a pre-EMU DSGE analysis

    OpenAIRE

    Andrzej Toroj

    2011-01-01

    Once a country joins a monetary union, an efficient competitiveness channel is considered to be the main substitute for the abandoned autonomous monetary and exchange rate policy. This paper attempts to make an empirical assessment of how the price competitiveness of domestic producers stabilizes the Polish and Slovak economies against the background of potentially procyclical real interest rates in EMU. To address this issue, we use a small open economy DSGE model. We compare the FIML estima...

  8. Solidarity in competitive markets for supplementary health insurance: an empirical analysis

    OpenAIRE

    Francesco Paolucci; Femmeke Prinsze; Pieter JA Stam; Wynand PMM van de Ven

    2006-01-01

    Many countries are considering the option of reducing the share of mandatory health insurance (MHI) and to increasingly rely on voluntary (supplementary) health insurance (VHI) schemes to cover health care expenditures. It is well-known that competitive markets for VHI tend to risk-rated premiums. After discussing the determinants of riskrating in competitive VHI markets, we provide empirical evidence of the potential reduction of (risk-) solidarity caused by the transfer of benefits from MHI...

  9. Analysis of innovativeness, as a determinant of competitiveness of the selected European countries

    Directory of Open Access Journals (Sweden)

    Despotović Danijela

    2016-01-01

    Full Text Available Starting from the premise that the phenomenon of innovation is at the heart of modern economic policies, the focus of the paper is on the most innovative and least innovative European countries, based on the values of the 12th pillar of the Global Competitiveness Index (GCI - Innovation. The research centres on the analysis of the selected countries, observing them as 10 innovation leaders and 10 innovation learners of Europe in 2013. Cluster analysis of the selected countries shows the depth of the gap between the formed clusters of innovation leaders and innovation learners. By applying the method of visualisation, the paper examines the components of the pillar Innovation in respect of these countries. With regard to the clusters formed and a big difference between them, the further course of the research includes the time dimension and analyses the trend of innovativeness in the studied groups of countries for the period 2006 - 2015. The time series graphs for each of the clusters, according to indicators of Innovation, with average values per cluster have been constructed, showing also the trend lines for each of the clusters. Bearing in mind that the majority of macroeconomic time series exhibits time dependence, dynamic relations between them are analysed using the VAR model. Statistically significant interdependence is established between the observed series. Furthermore, through simple linear regression, the impact of innovativeness on GDP per capita of the observed group of countries is examined. It can be concluded that, in addition to the pronounced gap between the achieved levels of innovativeness of the observed groups of countries, there is a positive impact of innovativeness on the achieved level of GDP per capita, expressed in the purchasing power of the domestic currency on the part of the group of innovation 'learners' in the reporting time period.

  10. Pain related inflammation analysis using infrared images

    Science.gov (United States)

    Bhowmik, Mrinal Kanti; Bardhan, Shawli; Das, Kakali; Bhattacharjee, Debotosh; Nath, Satyabrata

    2016-05-01

    Medical Infrared Thermography (MIT) offers a potential non-invasive, non-contact and radiation free imaging modality for assessment of abnormal inflammation having pain in the human body. The assessment of inflammation mainly depends on the emission of heat from the skin surface. Arthritis is a disease of joint damage that generates inflammation in one or more anatomical joints of the body. Osteoarthritis (OA) is the most frequent appearing form of arthritis, and rheumatoid arthritis (RA) is the most threatening form of them. In this study, the inflammatory analysis has been performed on the infrared images of patients suffering from RA and OA. For the analysis, a dataset of 30 bilateral knee thermograms has been captured from the patient of RA and OA by following a thermogram acquisition standard. The thermograms are pre-processed, and areas of interest are extracted for further processing. The investigation of the spread of inflammation is performed along with the statistical analysis of the pre-processed thermograms. The objectives of the study include: i) Generation of a novel thermogram acquisition standard for inflammatory pain disease ii) Analysis of the spread of the inflammation related to RA and OA using K-means clustering. iii) First and second order statistical analysis of pre-processed thermograms. The conclusion reflects that, in most of the cases, RA oriented inflammation affects bilateral knees whereas inflammation related to OA present in the unilateral knee. Also due to the spread of inflammation in OA, contralateral asymmetries are detected through the statistical analysis.

  11. Quantitative image analysis of celiac disease.

    Science.gov (United States)

    Ciaccio, Edward J; Bhagat, Govind; Lewis, Suzanne K; Green, Peter H

    2015-03-07

    We outline the use of quantitative techniques that are currently used for analysis of celiac disease. Image processing techniques can be useful to statistically analyze the pixular data of endoscopic images that is acquired with standard or videocapsule endoscopy. It is shown how current techniques have evolved to become more useful for gastroenterologists who seek to understand celiac disease and to screen for it in suspected patients. New directions for focus in the development of methodology for diagnosis and treatment of this disease are suggested. It is evident that there are yet broad areas where there is potential to expand the use of quantitative techniques for improved analysis in suspected or known celiac disease patients.

  12. Quantitative image analysis of celiac disease

    Science.gov (United States)

    Ciaccio, Edward J; Bhagat, Govind; Lewis, Suzanne K; Green, Peter H

    2015-01-01

    We outline the use of quantitative techniques that are currently used for analysis of celiac disease. Image processing techniques can be useful to statistically analyze the pixular data of endoscopic images that is acquired with standard or videocapsule endoscopy. It is shown how current techniques have evolved to become more useful for gastroenterologists who seek to understand celiac disease and to screen for it in suspected patients. New directions for focus in the development of methodology for diagnosis and treatment of this disease are suggested. It is evident that there are yet broad areas where there is potential to expand the use of quantitative techniques for improved analysis in suspected or known celiac disease patients. PMID:25759524

  13. Morphometric image analysis of giant vesicles

    DEFF Research Database (Denmark)

    Husen, Peter Rasmussen; Arriaga, Laura; Monroy, Francisco

    2012-01-01

    We have developed a strategy to determine lengths and orientations of tie lines in the coexistence region of liquid-ordered and liquid-disordered phases of cholesterol containing ternary lipid mixtures. The method combines confocal-fluorescence-microscopy image stacks of giant unilamellar vesicles...... (GUVs), a dedicated 3D-image analysis, and a quantitative analysis based in equilibrium thermodynamic considerations. This approach was tested in GUVs composed of 1,2-dioleoyl-sn-glycero-3-phosphocholine/1,2-palmitoyl-sn-glycero-3-phosphocholine/cholesterol. In general, our results show a reasonable...... agreement with previously reported data obtained by other methods. For example, our computed tie lines were found to be nonhorizontal, indicating a difference in cholesterol content in the coexisting phases. This new, to our knowledge, analytical strategy offers a way to further exploit fluorescence...

  14. Machine learning for medical images analysis.

    Science.gov (United States)

    Criminisi, A

    2016-10-01

    This article discusses the application of machine learning for the analysis of medical images. Specifically: (i) We show how a special type of learning models can be thought of as automatically optimized, hierarchically-structured, rule-based algorithms, and (ii) We discuss how the issue of collecting large labelled datasets applies to both conventional algorithms as well as machine learning techniques. The size of the training database is a function of model complexity rather than a characteristic of machine learning methods.

  15. Biomedical Image Analysis by Program "Vision Assistant" and "Labview"

    Directory of Open Access Journals (Sweden)

    Peter Izak

    2005-01-01

    Full Text Available This paper introduces application in image analysis of biomedical images. General task is focused on analysis and diagnosis biomedical images obtained from program ImageJ. There are described methods which can be used for images in biomedical application. The main idea is based on particle analysis, pattern matching techniques. For this task was chosensophistication method by program Vision Assistant, which is a part of program LabVIEW.

  16. Competition analysis on the operating system market using principal component analysis

    Directory of Open Access Journals (Sweden)

    Brătucu, G.

    2011-01-01

    Full Text Available Operating system market has evolved greatly. The largest software producer in the world, Microsoft, dominates the operating systems segment. With three operating systems: Windows XP, Windows Vista and Windows 7 the company held a market share of 87.54% in January 2011. Over time, open source operating systems have begun to penetrate the market very strongly affecting other manufacturers. Companies such as Apple Inc. and Google Inc. penetrated the operating system market. This paper aims to compare the best-selling operating systems on the market in terms of defining characteristics. To this purpose the principal components analysis method was used.

  17. Image analysis of blood platelets adhesion.

    Science.gov (United States)

    Krízová, P; Rysavá, J; Vanícková, M; Cieslar, P; Dyr, J E

    2003-01-01

    Adhesion of blood platelets is one of the major events in haemostatic and thrombotic processes. We studied adhesion of blood platelets on fibrinogen and fibrin dimer sorbed on solid support material (glass, polystyrene). Adhesion was carried on under static and dynamic conditions and measured as percentage of the surface covered with platelets. Within a range of platelet counts in normal and in thrombocytopenic blood we observed a very significant decrease in platelet adhesion on fibrin dimer with bounded active thrombin with decreasing platelet count. Our results show the imperative use of platelet poor blood preparations as control samples in experiments with thrombocytopenic blood. Experiments carried on adhesive surfaces sorbed on polystyrene showed lower relative inaccuracy than on glass. Markedly different behaviour of platelets adhered on the same adhesive surface, which differed only in support material (glass or polystyrene) suggest that adhesion and mainly spreading of platelets depends on physical quality of the surface. While on polystyrene there were no significant differences between fibrin dimer and fibrinogen, adhesion measured on glass support material markedly differed between fibrin dimer and fibrinogen. We compared two methods of thresholding in image analysis of adhered platelets. Results obtained by image analysis of spreaded platelets showed higher relative inaccuracy than results obtained by image analysis of platelets centres and aggregates.

  18. An analysis of the variables that provide a supply chain with sustainable competitiveness

    Directory of Open Access Journals (Sweden)

    Iván A. Arana-Solares

    2012-04-01

    Full Text Available Purpose: An agile, adaptable and aligned (Triple A supply chain (SC would seem to be key to obtaining sustainable competitive advantages. Little previous research has been done into the topic, however, and there are even discrepancies on the conceptual level. For this reason this study aims to propose a reference framework to determine the dimensions and factors that define agility, adaptability and alignment in the SC and to facilitate both the evaluation of its state by managers and researchers with respect to these variables and also the development of empirical research that determines its impact on performance.Design/methodology: A systematic literature review was carried out of specialist Operations Management, Logistics, Management and Supply Chain Management journals using the ProQuest (Abi/Inform Global database. The articles retrieved were examined and those that were relevant for this study were selected. Using these, a qualitative analysis was done that led to the proposed goal being achieved. Findings: This study sets out the definitions, dimensions and factors of the three variables and groups them together for the first time, thus providing a solid conceptual frame. Although the number of articles that analyse one or other of the variables is growing, it is still low. Agility is the variable on which most research has been done, while adaptability is the least analysed.Research limitations/implications: A theoretical reference framework is proposed for the Triple A in the SC based on earlier studies which do not discuss the joint effect of three variables, as a result of which there is no tested theoretical base. The model will be analysed empirically in future research.Originality/value: The lack of papers on agility, adaptability and alignment in the supply chain and the lack of a consensus regarding the dimensions and factors to define them reveal a need for studies such as this.

  19. Image analysis of Renaissance copperplate prints

    Science.gov (United States)

    Hedges, S. Blair

    2008-02-01

    From the fifteenth to the nineteenth centuries, prints were a common form of visual communication, analogous to photographs. Copperplate prints have many finely engraved black lines which were used to create the illusion of continuous tone. Line densities generally are 100-2000 lines per square centimeter and a print can contain more than a million total engraved lines 20-300 micrometers in width. Because hundreds to thousands of prints were made from a single copperplate over decades, variation among prints can have historical value. The largest variation is plate-related, which is the thinning of lines over successive editions as a result of plate polishing to remove time-accumulated corrosion. Thinning can be quantified with image analysis and used to date undated prints and books containing prints. Print-related variation, such as over-inking of the print, is a smaller but significant source. Image-related variation can introduce bias if images were differentially illuminated or not in focus, but improved imaging technology can limit this variation. The Print Index, the percentage of an area composed of lines, is proposed as a primary measure of variation. Statistical methods also are proposed for comparing and identifying prints in the context of a print database.

  20. Automatic dirt trail analysis in dermoscopy images.

    Science.gov (United States)

    Cheng, Beibei; Joe Stanley, R; Stoecker, William V; Osterwise, Christopher T P; Stricklin, Sherea M; Hinton, Kristen A; Moss, Randy H; Oliviero, Margaret; Rabinovitz, Harold S

    2013-02-01

    Basal cell carcinoma (BCC) is the most common cancer in the US. Dermatoscopes are devices used by physicians to facilitate the early detection of these cancers based on the identification of skin lesion structures often specific to BCCs. One new lesion structure, referred to as dirt trails, has the appearance of dark gray, brown or black dots and clods of varying sizes distributed in elongated clusters with indistinct borders, often appearing as curvilinear trails. In this research, we explore a dirt trail detection and analysis algorithm for extracting, measuring, and characterizing dirt trails based on size, distribution, and color in dermoscopic skin lesion images. These dirt trails are then used to automatically discriminate BCC from benign skin lesions. For an experimental data set of 35 BCC images with dirt trails and 79 benign lesion images, a neural network-based classifier achieved a 0.902 are under a receiver operating characteristic curve using a leave-one-out approach. Results obtained from this study show that automatic detection of dirt trails in dermoscopic images of BCC is feasible. This is important because of the large number of these skin cancers seen every year and the challenge of discovering these earlier with instrumentation. © 2011 John Wiley & Sons A/S.

  1. Quantitative color analysis for capillaroscopy image segmentation.

    Science.gov (United States)

    Goffredo, Michela; Schmid, Maurizio; Conforto, Silvia; Amorosi, Beatrice; D'Alessio, Tommaso; Palma, Claudio

    2012-06-01

    This communication introduces a novel approach for quantitatively evaluating the role of color space decomposition in digital nailfold capillaroscopy analysis. It is clinically recognized that any alterations of the capillary pattern, at the periungual skin region, are directly related to dermatologic and rheumatic diseases. The proposed algorithm for the segmentation of digital capillaroscopy images is optimized with respect to the choice of the color space and the contrast variation. Since the color space is a critical factor for segmenting low-contrast images, an exhaustive comparison between different color channels is conducted and a novel color channel combination is presented. Results from images of 15 healthy subjects are compared with annotated data, i.e. selected images approved by clinicians. By comparison, a set of figures of merit, which highlights the algorithm capability to correctly segment capillaries, their shape and their number, is extracted. Experimental tests depict that the optimized procedure for capillaries segmentation, based on a novel color channel combination, presents values of average accuracy higher than 0.8, and extracts capillaries whose shape and granularity are acceptable. The obtained results are particularly encouraging for future developments on the classification of capillary patterns with respect to dermatologic and rheumatic diseases.

  2. Competitive Intelligence.

    Science.gov (United States)

    Bergeron, Pierrette; Hiller, Christine A.

    2002-01-01

    Reviews the evolution of competitive intelligence since 1994, including terminology and definitions and analytical techniques. Addresses the issue of ethics; explores how information technology supports the competitive intelligence process; and discusses education and training opportunities for competitive intelligence, including core competencies…

  3. Analysis of competition between transformation pathways in the functioning of biotic abstract dual automata.

    Science.gov (United States)

    Popa, Radu; Cimpoiasu, Vily M

    2013-05-01

    Properties of avenues of transformation and their mutualism with forms of organization in dynamic systems are essential for understanding the evolution of prebiotic order. We have analyzed competition between two avenues of transformation in an A↔B system, using the simulation approach called BiADA (Biotic Abstract Dual Automata). We discuss means of avoiding common pitfalls of abstract system modeling and benefits of BiADA-based simulations. We describe the effect of the availability of free energy, energy sink magnitude, and autocatalysis on the evolution of energy flux and order in the system. Results indicate that prebiotic competition between avenues of transformation was more stringent in energy-limited environments. We predict that in such conditions the efficiency of autocatalysis during competition between alternative system states will increase for systems with forms of organization having short half-lives and thus information that is time-sensitive to energy starvation. Our results also offer a potential solution to Manfred Eigen's error catastrophe dilemma. In the conditions discussed above, the exponential growth of quasi species is curbed through the removal of less competitive "genetic" variants via energy starvation. We propose that one of the most important achievements (and selective edges) of a dynamic network during competition in energy-limited or energy-variable environments was the capacity to correlate the internal energy flux and the need for free energy with the availability of free energy in the environment.

  4. Analysis of 193 Mammographic phantom images

    Energy Technology Data Exchange (ETDEWEB)

    Son, Eun Ju; Kim, Eun Kyung; Ko, Kyung Hee; Kim, Young Ah; Oh, Ki Keun [College of Medicine, Yonsei Univ., Seoul (Korea, Republic of); Chung, Sun Yang [College of Medicine, Pochon CHA Univ., Pochon (Korea, Republic of); Kim, Hyuk Joo; Cha, Seung Hwan [Korea Food and Drug Administration, Seoul (Korea, Republic of)

    2003-11-01

    To evaluate the actual state of quality control in Korea through analysis of mammographic phantom images obtained from a multicenter, and to determine the proper exposure conditions required in order to obtain satisfactory phantom images. Between April and June, 2002, 193 phantom images were referred to the Korea Food and Drug Administration for evaluation. Two radiologists recorded the number of fibers, specks and masses they contained, and the 'pass' criteria were as follows: checked number of fibers: four or more; specks, three or more; masses, three or more (a total of ten or more features). Images in which optical density was over 1.2 were classified as satisfactory. In addition, changes in the success ratio, and difference between the two groups (i.e. 'pass' and 'fail', with regard to exposure conditions and optical density) were evaluated. Among the 193 images, 116 (60.1%) passed and 77 (39.9%) failed. Among those which passed, 73/100 (73%) involved to use of a grid, 80/117 (68.3%) were obtained within the optimal kVp range, 50/111 (45.0%) involved the use of optimal mAs, and 79/112 (70.5%) were obtained within the optimal range of optical density. Among those which failed, the corresponding figures were 17/52 (32.6%), 33/66 (50.0%), 31/69 (44.9%), and 35/65 (53.8%), There were statistically significant differences between the pass and fail rates, and with regard to kVp, optical density, and the use of a grid, but with regard to mAs, statistical differences were not significant. If only phantom images with an optical density of over 1.2 [as per the rule of the Mammographic Quality Standard Act (MQSA)] was included, the success rate would fall from 60.1% to 43.0%. The pass rate for mammographic phantom images was 60.1%. If such images are to be satisfactory, they should be obtained within the optimal range of optical density, using optimal kVp and a grid.

  5. Validation of a German version of the Sport Motivation Scale (SMS28) and motivation analysis in competitive mountain runners.

    Science.gov (United States)

    Burtscher, Johannes; Furtner, Marco; Sachse, Pierre; Burtscher, Martin

    2011-06-01

    This study validated a German version of the Sport Motivation Scale (SMS28) and investigated the sex-specific and age-related differences in motivation of competitive mountain runners. Translation and cross-cultural adaptation of the SMS28 was based on translation and back-translation methodology. Acceptable validity of the German version of the SMS28 was indicated by the high correlations (.81 to .98) of scores on the seven subscales for the English and German versions completed by 15 subjects. Motivation analysis was performed with 127 competitive male and female mountain runners. The seven subscales of the German version showed good internal consistency (Cronbach's coefficient alphas .70 to .85). Findings on motivation of competitive mountain runners were a decline across age groups of Intrinsic motivation toward accomplishment for both sexes and an age-related decline of External regulation only for females. These motivational changes might well be associated with the observed diminishing numbers of older participants in mountain running competitions.

  6. Meta-analysis reveals evolution in invasive plant species but little support for Evolution of Increased Competitive Ability (EICA)

    Science.gov (United States)

    Felker-Quinn, Emmi; Schweitzer, Jennifer A; Bailey, Joseph K

    2013-01-01

    Ecological explanations for the success and persistence of invasive species vastly outnumber evolutionary hypotheses, yet evolution is a fundamental process in the success of any species. The Evolution of Increased Competitive Ability (EICA) hypothesis (Blossey and Nötzold 1995) proposes that evolutionary change in response to release from coevolved herbivores is responsible for the success of many invasive plant species. Studies that evaluate this hypothesis have used different approaches to test whether invasive populations allocate fewer resources to defense and more to growth and competitive ability than do source populations, with mixed results. We conducted a meta-analysis of experimental tests of evolutionary change in the context of EICA. In contrast to previous reviews, there was no support across invasive species for EICA's predictions regarding defense or competitive ability, although invasive populations were more productive than conspecific native populations under noncompetitive conditions. We found broad support for genetically based changes in defense and competitive plant traits after introduction into new ranges, but not in the manner suggested by EICA. This review suggests that evolution occurs as a result of plant introduction and population expansion in invasive plant species, and may contribute to the invasiveness and persistence of some introduced species. PMID:23531703

  7. Reticle defect sizing of optical proximity correction defects using SEM imaging and image analysis techniques

    Science.gov (United States)

    Zurbrick, Larry S.; Wang, Lantian; Konicek, Paul; Laird, Ellen R.

    2000-07-01

    Sizing of programmed defects on optical proximity correction (OPC) feature sis addressed using high resolution scanning electron microscope (SEM) images and image analysis techniques. A comparison and analysis of different sizing methods is made. This paper addresses the issues of OPC defect definition and discusses the experimental measurement results obtained by SEM in combination with image analysis techniques.

  8. Remote Sensing Digital Image Analysis An Introduction

    CERN Document Server

    Richards, John A

    2013-01-01

    Remote Sensing Digital Image Analysis provides the non-specialist with a treatment of the quantitative analysis of satellite and aircraft derived remotely sensed data. Since the first edition of the book there have been significant developments in the algorithms used for the processing and analysis of remote sensing imagery; nevertheless many of the fundamentals have substantially remained the same.  This new edition presents material that has retained value since those early days, along with new techniques that can be incorporated into an operational framework for the analysis of remote sensing data. The book is designed as a teaching text for the senior undergraduate and postgraduate student, and as a fundamental treatment for those engaged in research using digital image processing in remote sensing.  The presentation level is for the mathematical non-specialist.  Since the very great number of operational users of remote sensing come from the earth sciences communities, the text is pitched at a leve...

  9. Nursing image: an evolutionary concept analysis.

    Science.gov (United States)

    Rezaei-Adaryani, Morteza; Salsali, Mahvash; Mohammadi, Eesa

    2012-12-01

    A long-term challenge to the nursing profession is the concept of image. In this study, we used the Rodgers' evolutionary concept analysis approach to analyze the concept of nursing image (NI). The aim of this concept analysis was to clarify the attributes, antecedents, consequences, and implications associated with the concept. We performed an integrative internet-based literature review to retrieve English literature published from 1980-2011. Findings showed that NI is a multidimensional, all-inclusive, paradoxical, dynamic, and complex concept. The media, invisibility, clothing style, nurses' behaviors, gender issues, and professional organizations are the most important antecedents of the concept. We found that NI is pivotal in staff recruitment and nursing shortage, resource allocation to nursing, nurses' job performance, workload, burnout and job dissatisfaction, violence against nurses, public trust, and salaries available to nurses. An in-depth understanding of the NI concept would assist nurses to eliminate negative stereotypes and build a more professional image for the nurse and the profession.

  10. Simple Low Level Features for Image Analysis

    Science.gov (United States)

    Falcoz, Paolo

    As human beings, we perceive the world around us mainly through our eyes, and give what we see the status of “reality”; as such we historically tried to create ways of recording this reality so we could augment or extend our memory. From early attempts in photography like the image produced in 1826 by the French inventor Nicéphore Niépce (Figure 2.1) to the latest high definition camcorders, the number of recorded pieces of reality increased exponentially, posing the problem of managing all that information. Most of the raw video material produced today has lost its memory augmentation function, as it will hardly ever be viewed by any human; pervasive CCTVs are an example. They generate an enormous amount of data each day, but there is not enough “human processing power” to view them. Therefore the need for effective automatic image analysis tools is great, and a lot effort has been put in it, both from the academia and the industry. In this chapter, a review of some of the most important image analysis tools are presented.

  11. A new method for comparing rankings through complex networks: model and analysis of competitiveness of major European soccer leagues.

    Science.gov (United States)

    Criado, Regino; García, Esther; Pedroche, Francisco; Romance, Miguel

    2013-12-01

    In this paper, we show a new technique to analyze families of rankings. In particular, we focus on sports rankings and, more precisely, on soccer leagues. We consider that two teams compete when they change their relative positions in consecutive rankings. This allows to define a graph by linking teams that compete. We show how to use some structural properties of this competitivity graph to measure to what extend the teams in a league compete. These structural properties are the mean degree, the mean strength, and the clustering coefficient. We give a generalization of the Kendall's correlation coefficient to more than two rankings. We also show how to make a dynamic analysis of a league and how to compare different leagues. We apply this technique to analyze the four major European soccer leagues: Bundesliga, Italian Lega, Spanish Liga, and Premier League. We compare our results with the classical analysis of sport ranking based on measures of competitive balance.

  12. A new method for comparing rankings through complex networks: Model and analysis of competitiveness of major European soccer leagues

    Science.gov (United States)

    Criado, Regino; García, Esther; Pedroche, Francisco; Romance, Miguel

    2013-12-01

    In this paper, we show a new technique to analyze families of rankings. In particular, we focus on sports rankings and, more precisely, on soccer leagues. We consider that two teams compete when they change their relative positions in consecutive rankings. This allows to define a graph by linking teams that compete. We show how to use some structural properties of this competitivity graph to measure to what extend the teams in a league compete. These structural properties are the mean degree, the mean strength, and the clustering coefficient. We give a generalization of the Kendall's correlation coefficient to more than two rankings. We also show how to make a dynamic analysis of a league and how to compare different leagues. We apply this technique to analyze the four major European soccer leagues: Bundesliga, Italian Lega, Spanish Liga, and Premier League. We compare our results with the classical analysis of sport ranking based on measures of competitive balance.

  13. A new method for comparing rankings through complex networks: Model and analysis of competitiveness of mayor European soccer leagues

    CERN Document Server

    Criado, Regino; Pedroche, Francisco; Romance, Miguel

    2013-01-01

    In this paper we show a new technique to analyze families of rankings. In particular we focus on sports rankings and, more precisely, on soccer leagues. We consider that two teams compete when they change their relative positions in consecutive rankings. This allows to define a graph by linking teams that compete. We show how to use some structural properties of this competitivity graph to measure to what extend the teams in a league compete. These structural properties are the mean degree, the mean strength and the clustering coefficient. We give a generalization of the Kendall's correlation coefficient to more than two rankings. We also show how to make a dynamic analysis of a league and how to compare different leagues. We apply this technique to analyze the four major European soccer leagues: Bundesliga, Italian Lega, Spanish Liga, and Premier League. We compare our results with the classical analysis of sport ranking based on measures of competitive balance.

  14. Comparative analysis of tomato value chain competitiveness in selected areas of Malawi and Mozambique

    Directory of Open Access Journals (Sweden)

    Nelson Mango

    2015-12-01

    Full Text Available This paper discusses tomato value chain performance in Malawi and Mozambique using data collected from a market study commissioned by the International Centre for Tropical Agriculture as part of a regional research on conservation agriculture in maize-based farming systems in Sub-Saharan Africa. The results show that Malawi has a slightly higher competitive advantage in the production of tomato compared to Mozambique. Malawi’s relative competitiveness in tomato is mainly due to slightly higher productivity and the cost advantage in labor (low wages and irrigation costs. The paper proposes policy implications aimed at raising the productivity and trade competitiveness of tomato, as this will ensure the overall productivity of the maize-based smallholder farming systems in the two countries.

  15. Road Resources Distribution and Evolution Analysis Using a Species Competition Model for Improving Road Equity

    Institute of Scientific and Technical Information of China (English)

    YING Xiwen; SHI Jing

    2008-01-01

    The paper analyzes the equity of road resources distribution in urban areas by modeling the competitive relationship among different road users.A logistic model is used to describe the development of different traffic modes in the transportation network.The system is similar to the species competition model,so a two-species model is used to analyze the relationship between users based on the stability of the equilibrium points.The Lotka-Volterra model is then used to describe the multi-species cases with numerical examples,showing that this model can describe the effects of the road space distribution on the competitive user relationships.Policy makers must ensure the equity of road resources distribution so that each urban transportation mode is properly developed for sustainable social development.

  16. Competitive Performance Correlates of Mental Toughness in Tennis: A Preliminary Analysis.

    Science.gov (United States)

    Cowden, Richard G

    2016-08-01

    This study investigated relationships between mental toughness and measures of competitive performance in tennis. Forty-three male (N = 25) and female (N = 18) players (M age = 13.6 years, SD = 2.4) completed the mental toughness inventory, and the point-by-point outcomes recorded during a competitive tennis match (singles) were used to generate performance indices for each athlete. The results indicated that mental toughness was associated with several, but not all, macro, micro, and critical moment performance indices. The findings suggest mental toughness may contribute to successful performance during tennis competition, although the importance of the construct appears to depend depend on specific match situations. Future mental toughness research should consider a range of factors related to sport performance, including athletes' and opponents' physical, technical, and tactical abilities.

  17. Approximate kernel competitive learning.

    Science.gov (United States)

    Wu, Jian-Sheng; Zheng, Wei-Shi; Lai, Jian-Huang

    2015-03-01

    Kernel competitive learning has been successfully used to achieve robust clustering. However, kernel competitive learning (KCL) is not scalable for large scale data processing, because (1) it has to calculate and store the full kernel matrix that is too large to be calculated and kept in the memory and (2) it cannot be computed in parallel. In this paper we develop a framework of approximate kernel competitive learning for processing large scale dataset. The proposed framework consists of two parts. First, it derives an approximate kernel competitive learning (AKCL), which learns kernel competitive learning in a subspace via sampling. We provide solid theoretical analysis on why the proposed approximation modelling would work for kernel competitive learning, and furthermore, we show that the computational complexity of AKCL is largely reduced. Second, we propose a pseudo-parallelled approximate kernel competitive learning (PAKCL) based on a set-based kernel competitive learning strategy, which overcomes the obstacle of using parallel programming in kernel competitive learning and significantly accelerates the approximate kernel competitive learning for large scale clustering. The empirical evaluation on publicly available datasets shows that the proposed AKCL and PAKCL can perform comparably as KCL, with a large reduction on computational cost. Also, the proposed methods achieve more effective clustering performance in terms of clustering precision against related approximate clustering approaches.

  18. Analysis on enhanced depth of field for integral imaging microscope.

    Science.gov (United States)

    Lim, Young-Tae; Park, Jae-Hyeung; Kwon, Ki-Chul; Kim, Nam

    2012-10-08

    Depth of field of the integral imaging microscope is studied. In the integral imaging microscope, 3-D information is encoded as a form of elemental images Distance between intermediate plane and object point decides the number of elemental image and depth of field of integral imaging microscope. From the analysis, it is found that depth of field of the reconstructed depth plane image by computational integral imaging reconstruction is longer than depth of field of optical microscope. From analyzed relationship, experiment using integral imaging microscopy and conventional microscopy is also performed to confirm enhanced depth of field of integral imaging microscopy.

  19. Machine Learning Interface for Medical Image Analysis.

    Science.gov (United States)

    Zhang, Yi C; Kagen, Alexander C

    2016-10-11

    TensorFlow is a second-generation open-source machine learning software library with a built-in framework for implementing neural networks in wide variety of perceptual tasks. Although TensorFlow usage is well established with computer vision datasets, the TensorFlow interface with DICOM formats for medical imaging remains to be established. Our goal is to extend the TensorFlow API to accept raw DICOM images as input; 1513 DaTscan DICOM images were obtained from the Parkinson's Progression Markers Initiative (PPMI) database. DICOM pixel intensities were extracted and shaped into tensors, or n-dimensional arrays, to populate the training, validation, and test input datasets for machine learning. A simple neural network was constructed in TensorFlow to classify images into normal or Parkinson's disease groups. Training was executed over 1000 iterations for each cross-validation set. The gradient descent optimization and Adagrad optimization algorithms were used to minimize cross-entropy between the predicted and ground-truth labels. Cross-validation was performed ten times to produce a mean accuracy of 0.938 ± 0.047 (95 % CI 0.908-0.967). The mean sensitivity was 0.974 ± 0.043 (95 % CI 0.947-1.00) and mean specificity was 0.822 ± 0.207 (95 % CI 0.694-0.950). We extended the TensorFlow API to enable DICOM compatibility in the context of DaTscan image analysis. We implemented a neural network classifier that produces diagnostic accuracies on par with excellent results from previous machine learning models. These results indicate the potential role of TensorFlow as a useful adjunct diagnostic tool in the clinical setting.

  20. Pricing risk analysis for competitive electricity trading in deregulated and open access environment

    Energy Technology Data Exchange (ETDEWEB)

    Yu, Z.; Sparrow, F.T. [Purdue Univ., West Lafayette, IN (United States)

    1998-12-31

    This paper presents two models for evaluating pricing risks of future competitive electricity market with open transmission access. The first model is developed for measuring the risk of losing contract when a seller`s price is higher than that of one of its competitors. The second model is deduced for measuring the risk of benefit loss when a bidder`s price is low such that this seller has unrealized benefit. Both models are probabilistic and are expressed as probability distributions. The models are developed for evaluating bilateral contract pricing risks, however the idea can be extended to a competitive power pool situation.

  1. Possibilities in the International Trade of Quinoa: An Analysis from the Perspective of Competitiveness

    Directory of Open Access Journals (Sweden)

    Lucy Andrea Cely Torres

    2015-11-01

    Full Text Available The article studies the role and importance of the production and marketing of quinoa in the international market, due to the immense possibilities of processing it into finished products and the benefits offered by this crop. In the light of theoretical references such as competitiveness and competitive advantages, it was possible to carry out a descriptive study which evidenced the importance of this issue in exports realized mainly by countries like Bolivia and Peru, and imports from the EU and Asia. Thus, Andean countries could play an important role if they take advantage of their traditions and turn them into business and welfare opportunities for the world population.

  2. Longitudinal analysis of virtual community perceptions of cohesion: The role of cooperation, communication, and competition.

    Science.gov (United States)

    Lyles, Annmarie A; Loomis, Colleen; Mama, Scherezade K; Siddiqi, Sameer; Lee, Rebecca E

    2016-09-14

    Online, virtual group interactions may help adherence to health promotion programs. The purpose of this study was to explore longitudinal relationships among dimensions of group cohesion and group-interaction variables to inform and improve group-based strategies within programs aimed at promoting physical activity in virtual communities. In all, 56 online virtual users completed a group dynamics-based physical activity promotion intervention and assessments of group cohesion and group interaction at baseline and 4 weeks. Friendly competition and cooperation were consistently strong predictors of cohesion. Facilitating a sense of friendly competition and cooperation may increase engagement in physical activity programs by bolstering group cohesion.

  3. Heterogeneous logics of competition

    DEFF Research Database (Denmark)

    Mossin, Christiane

    2015-01-01

    The purpose of the article is to demonstrate that in order to understand competition as a socially organizing phenomenon, we should not examine competition in isolation, but as constellations of heterogeneous logics. More precisely, the article is based on two main theoretical points: (1) Logics...... of competition are only realized as particular forms of social organization by virtue of interplaying with other kinds of logics, like legal logics. (2) Competition logics enjoy a peculiar status in-between constructedness and givenness; although competition depends on laws and mechanisms of socialization, we...... still experience competition as an expression of spontaneous human activities. On the basis of these perspectives, a study of fundamental rights of EU law, springing from the principle of ‘free movement of people’, is conducted. The first part of the empirical analysis seeks to detect the presence...

  4. Research on automatic human chromosome image analysis

    Science.gov (United States)

    Ming, Delie; Tian, Jinwen; Liu, Jian

    2007-11-01

    Human chromosome karyotyping is one of the essential tasks in cytogenetics, especially in genetic syndrome diagnoses. In this thesis, an automatic procedure is introduced for human chromosome image analysis. According to different status of touching and overlapping chromosomes, several segmentation methods are proposed to achieve the best results. Medial axis is extracted by the middle point algorithm. Chromosome band is enhanced by the algorithm based on multiscale B-spline wavelets, extracted by average gray profile, gradient profile and shape profile, and calculated by the WDD (Weighted Density Distribution) descriptors. The multilayer classifier is used in classification. Experiment results demonstrate that the algorithms perform well.

  5. Rapid spectral analysis for spectral imaging.

    Science.gov (United States)

    Jacques, Steven L; Samatham, Ravikant; Choudhury, Niloy

    2010-07-15

    Spectral imaging requires rapid analysis of spectra associated with each pixel. A rapid algorithm has been developed that uses iterative matrix inversions to solve for the absorption spectra of a tissue using a lookup table for photon pathlength based on numerical simulations. The algorithm uses tissue water content as an internal standard to specify the strength of optical scattering. An experimental example is presented on the spectroscopy of portwine stain lesions. When implemented in MATLAB, the method is ~100-fold faster than using fminsearch().

  6. Managing Human Resource Capabilities for Sustainable Competitive Advantage: An Empirical Analysis from Indian Global Organisations

    Science.gov (United States)

    Khandekar, Aradhana; Sharma, Anuradha

    2005-01-01

    Purpose: The purpose of this article is to examine the role of human resource capability (HRC) in organisational performance and sustainable competitive advantage (SCA) in Indian global organisations. Design/Methodology/Approach: To carry out the present study, an empirical research on a random sample of 300 line or human resource managers from…

  7. Competition with forward contracts: a laboratory analysis motivated by electricity market design

    NARCIS (Netherlands)

    Brandts, J.; Pezanis-Christou, P.; Schram, A.

    2008-01-01

    We use experiments to study the efficiency effects of adding the possibility of forward contracting to a spot market. We focus on the strategic implications of a forward market and consider both quantity and supply function competition. In both cases we compare the effect of adding a contract market

  8. Does Agency Competition Improve the Quality of Policy Analysis? Evidence from OMB and CBO Fiscal Projections

    Science.gov (United States)

    Krause, George A.; Douglas, James W.

    2006-01-01

    Public management scholars often claim that agency competition provides an effective institutional check on monopoly authority, and hence, leads to improvement of administrative performance in public sector agencies. This logic was central for creating the Congressional Budget Office (CBO) in 1975 to challenge the policy information provided by…

  9. Competitive chemiluminescent anzyme immunoassay for vitamin B12 analysis in human milk.

    Science.gov (United States)

    Recent discoveries of matrix interferences by haptocorrin (HC) in human milk and serum show that past analyses of vitamin B12 in samples with high HC content might have been inaccurate (Lildballe et al., 2009; Carmel & Agrawal, 2012). We evaluated two competitive enzyme-binding immunoassays for seru...

  10. Competitive chemiluminescent enzyme immunoassay for vitamin B12 analysis in human milk

    Science.gov (United States)

    BACKGROUND Few accurate data exist on the concentration of vitamin B12 in human milk. Binding of the vitamin to haptocorrin (HC) can interfere with the assay if not removed by pretreatment, and very low values can occur in women with poor B12 status. This study evaluated two competitive enzyme bind...

  11. Managing Human Resource Capabilities for Sustainable Competitive Advantage: An Empirical Analysis from Indian Global Organisations

    Science.gov (United States)

    Khandekar, Aradhana; Sharma, Anuradha

    2005-01-01

    Purpose: The purpose of this article is to examine the role of human resource capability (HRC) in organisational performance and sustainable competitive advantage (SCA) in Indian global organisations. Design/Methodology/Approach: To carry out the present study, an empirical research on a random sample of 300 line or human resource managers from…

  12. U.S. Wind Energy Manufacturing & Supply Chain: A Competitive Analysis

    Energy Technology Data Exchange (ETDEWEB)

    Fullenkamp, Patrick [Global WindNetwork, Cleveland, OH (United States)

    2014-06-15

    The Global Wind Network (GLWN) assessed the key factors that determine wind energy component manufacturing costs and pricing on a global basis in order to provide a better understanding of the factors that will help enhance the competitiveness of U.S. manufacturers, and reduce installed system costs.

  13. Comparative Analysis of OECD Member Countries' Competitive Advantage in National Human Resource Development System

    Science.gov (United States)

    Oh, Hunseok; Choi, Yeseul; Choi, Myungweon

    2013-01-01

    The purpose of this study was to assess, evaluate, and compare the competitive advantages of the human resource development systems of advanced countries. The Global Human Resource Development Index was utilized for this study, since it has been validated through an expert panel's content review and analytic hierarchy process. Using a sample of 34…

  14. Game theory competition analysis of reservoir water supply and hydropower generation

    Science.gov (United States)

    Lee, T.

    2013-12-01

    The total installed capacity of the power generation systems in Taiwan is about 41,000 MW. Hydropower is one of the most important renewable energy sources, with hydropower generation capacity of about 4,540 MW. The aim of this research is to analyze competition between water supply and hydropower generation in water-energy systems. The major relationships between water and energy systems include hydropower generation by water, energy consumption for water system operation, and water consumption for energy system. In this research, a game-theoretic Cournot model is formulated to simulate oligopolistic competition between water supply, hydropower generation, and co-fired power generation in water-energy systems. A Nash equilibrium of the competitive market is derived and solved by GAMS with PATH solver. In addition, a case study analyzing the competition among water supply and hydropower generation of De-ji and Ku-Kuan reservoirs, Taipower, Star Energy, and Star-Yuan power companies in central Taiwan is conducted.

  15. Comparative Analysis of OECD Member Countries' Competitive Advantage in National Human Resource Development System

    Science.gov (United States)

    Oh, Hunseok; Choi, Yeseul; Choi, Myungweon

    2013-01-01

    The purpose of this study was to assess, evaluate, and compare the competitive advantages of the human resource development systems of advanced countries. The Global Human Resource Development Index was utilized for this study, since it has been validated through an expert panel's content review and analytic hierarchy process. Using a sample of 34…

  16. 国际竞争的价值分析%The Value Analysis for International Competition

    Institute of Scientific and Technical Information of China (English)

    宋树理

    2013-01-01

    The competition among enterprises between developing countries and developed countries is helpful for efficiency dis⁃tribution of resources of these countries in the world market,but it may also reduce their social welfare.According to labor val⁃ue theory,using the dynamic game method,the paper analyses the type of competition,then proves the existence of the opti⁃mal conditions of international competition maximizing these countries’ social welfare.This means that governments could in⁃tervene the international production behavior of enterprises in their own countries,then it will realize a win-win benefits in in⁃ternational competition between developed and developing countries.%  文章在劳动价值论的基础上,对不同发展程度国家的企业竞争的动态博弈分析证明,存在使这些国家社会福利最大化的最优竞争条件。这意味着这些国家都可以通过影响本国企业的国际生产行为,实现国际竞争的利益双赢。

  17. Comparative Analysis of OECD Member Countries' Competitive Advantage in National Human Resource Development System

    Science.gov (United States)

    Oh, Hunseok; Choi, Yeseul; Choi, Myungweon

    2013-01-01

    The purpose of this study was to assess, evaluate, and compare the competitive advantages of the human resource development systems of advanced countries. The Global Human Resource Development Index was utilized for this study, since it has been validated through an expert panel's content review and analytic hierarchy process. Using a sample…

  18. A spatial statistical analysis of cork oak competition in two Portuguese silvopastoral systems

    NARCIS (Netherlands)

    Paulo, M.J.; Stein, A.; Tomé, M.

    2002-01-01

    This paper considers competition among cork oaks (Quercus suber L.) at three plots in two representative Portuguese stands. It uses spatial point pattern functions to describe densities and quantify differences among stands. Relations between cork oak characteristics and indices measuring intertree

  19. ImageJ-MATLAB: a bidirectional framework for scientific image analysis interoperability.

    Science.gov (United States)

    Hiner, Mark C; Rueden, Curtis T; Eliceiri, Kevin W

    2016-10-26

    ImageJ-MATLAB is a lightweight Java library facilitating bi-directional interoperability between MATLAB and ImageJ. By defining a standard for translation between matrix and image data structures, researchers are empowered to select the best tool for their image-analysis tasks.

  20. Analysis of the competition on the retail market for electric power; Analyse af konkurrencen pae detailmarkedet for el

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2012-10-15

    This year it is almost ten years ago, that it was made possible for all electricity consumers to choose their supplier. Specifically, this was done by changes in the Electricity Supply Act, whereby increased competition was designated as the central means of achieving the energy policy objectives of security of supply, economics, environment, and consumer protection. The retail electricity market's turnover today is approx. 43 billion. DKK, but it is expected to grow significantly in the coming years because consumers are increasingly expected to use electricity from renewable energy for heating and transport. It is obvious that it is also for this reason essential to the economy that competition in the retail market works as well as possible. In practice, competition as an instrument is aimed at production and retail sales in the electricity market, with the significant exception that the smaller consumers are protected by both the competition itself as well as by the special supply regulation. The protective supply regulation means that a majority of consumers and small and medium-sized enterprises do not have sufficient incentive to trade electricity on the free market, which in turn means that there is not exercised pressure on suppliers that can lead to innovation, product development, or to provide electricity at the lowest possible prices. The Secretariat of the Danish Energy Regulatory Authority has against this background made an in-depth analysis of the competition in the retail market for electricity and for the general supply regulation. The analysis shows that there are a number of barriers that stand in the way of effective competition in the retail market, and thus of fostering innovation, product development and potential improvements in infrastructure. The Danish government and parliament have taken a number of initiatives that remove some of the barriers. But challenges still remain. They all originate from inertia and low mobility at

  1. Hapten-antibody recognition studies in competitive immunoassay of α-zearalanol analogs by computational chemistry and Pearson Correlation analysis.

    Science.gov (United States)

    Wang, Zhanhui; Luo, Pengjie; Cheng, Linli; Zhang, Suxia; Shen, Jianzhong

    2011-01-01

    The molecular recognition of hapten-antibody is a fundamental event in competitive immunoassay, which guarantees the sensitivity and specificity of immunoassay for the detection of haptens. The aim of this study is to investigate the correlation between binding ability of one monoclonal antibody, 1H9B4, recognizing and the molecular aspects of α-zearalanol analogs. The mouse-derived monoclonal antibody was produced by using α-zearalanol conjugated to bovine serum albumin as an immunogen. The antibody recognition abilities, expressed as IC(50) values, were determined by a competitive ELISA. All of the hapten molecules were optimized by Density Function Theory (DFT) at B3LYP/ 6-31G* level and the conformation and electrostatic molecular isosurface were employed to explain the molecular recognition between α-zearalanol analogs and antibody 1H9B4. Pearson Correlation analysis between molecular descriptors and IC(50) values was qualitatively undertaken and the results showed that one molecular descriptor, surface of the hapten molecule, clearly demonstrated linear relationship with antibody recognition ability, where the relationship coefficient was 0.88 and the correlation was significant at p Pearson Correlation analysis can be used as tool to help the immunochemistries better understand the processing of antibody recognition of hapten molecules in competitive immunoassay.

  2. Etching and image analysis of the microstructure in marble

    DEFF Research Database (Denmark)

    Alm, Ditte; Brix, Susanne; Howe-Rasmussen, Helle

    2005-01-01

    of grains exposed on that surface are measured on the microscope images using image analysis by the program Adobe Photoshop 7.0 with Image Processing Toolkit 4.0. The parameters measured by the program on microscope images of thin sections of two marble types are used for calculation of the coefficient...

  3. Digital image analysis of palaeoenvironmental records and applications

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    Environmental change signals in geological or biological records are commonly reflected on their reflecting or transmitting images. These environmental signals can be extracted through digital image analysis. The analysis principle involves section line selection, color value reading and calculating environmental proxy index along the section lines, layer identification, auto-chronology and investigation of structure evolution of growth bands. On detailed illustrations of the image technique, this note provides image analyzing procedures of coral, tree-ring and stalagmite records. The environmental implications of the proxy index from image analysis are accordingly given through application demonstration of the image technique.

  4. Wavelet Analysis of Space Solar Telescope Images

    Institute of Scientific and Technical Information of China (English)

    Xi-An Zhu; Sheng-Zhen Jin; Jing-Yu Wang; Shu-Nian Ning

    2003-01-01

    The scientific satellite SST (Space Solar Telescope) is an important research project strongly supported by the Chinese Academy of Sciences. Every day,SST acquires 50 GB of data (after processing) but only 10GB can be transmitted to the ground because of limited time of satellite passage and limited channel volume.Therefore, the data must be compressed before transmission. Wavelets analysis is a new technique developed over the last 10 years, with great potential of application.We start with a brief introduction to the essential principles of wavelet analysis,and then describe the main idea of embedded zerotree wavelet coding, used for compressing the SST images. The results show that this coding is adequate for the job.

  5. Graph Laplacian Regularization for Image Denoising: Analysis in the Continuous Domain.

    Science.gov (United States)

    Pang, Jiahao; Cheung, Gene

    2017-04-01

    Inverse imaging problems are inherently underdetermined, and hence, it is important to employ appropriate image priors for regularization. One recent popular prior-the graph Laplacian regularizer-assumes that the target pixel patch is smooth with respect to an appropriately chosen graph. However, the mechanisms and implications of imposing the graph Laplacian regularizer on the original inverse problem are not well understood. To address this problem, in this paper, we interpret neighborhood graphs of pixel patches as discrete counterparts of Riemannian manifolds and perform analysis in the continuous domain, providing insights into several fundamental aspects of graph Laplacian regularization for image denoising. Specifically, we first show the convergence of the graph Laplacian regularizer to a continuous-domain functional, integrating a norm measured in a locally adaptive metric space. Focusing on image denoising, we derive an optimal metric space assuming non-local self-similarity of pixel patches, leading to an optimal graph Laplacian regularizer for denoising in the discrete domain. We then interpret graph Laplacian regularization as an anisotropic diffusion scheme to explain its behavior during iterations, e.g., its tendency to promote piecewise smooth signals under certain settings. To verify our analysis, an iterative image denoising algorithm is developed. Experimental results show that our algorithm performs competitively with state-of-the-art denoising methods, such as BM3D for natural images, and outperforms them significantly for piecewise smooth images.

  6. The Scientific Image in Behavior Analysis.

    Science.gov (United States)

    Keenan, Mickey

    2016-05-01

    Throughout the history of science, the scientific image has played a significant role in communication. With recent developments in computing technology, there has been an increase in the kinds of opportunities now available for scientists to communicate in more sophisticated ways. Within behavior analysis, though, we are only just beginning to appreciate the importance of going beyond the printing press to elucidate basic principles of behavior. The aim of this manuscript is to stimulate appreciation of both the role of the scientific image and the opportunities provided by a quick response code (QR code) for enhancing the functionality of the printed page. I discuss the limitations of imagery in behavior analysis ("Introduction"), and I show examples of what can be done with animations and multimedia for teaching philosophical issues that arise when teaching about private events ("Private Events 1 and 2"). Animations are also useful for bypassing ethical issues when showing examples of challenging behavior ("Challenging Behavior"). Each of these topics can be accessed only by scanning the QR code provided. This contingency has been arranged to help the reader embrace this new technology. In so doing, I hope to show its potential for going beyond the limitations of the printing press.

  7. Percent area coverage through image analysis

    Science.gov (United States)

    Wong, Chung M.; Hong, Sung M.; Liu, De-Ling

    2016-09-01

    The notion of percent area coverage (PAC) has been used to characterize surface cleanliness levels in the spacecraft contamination control community. Due to the lack of detailed particle data, PAC has been conventionally calculated by multiplying the particle surface density in predetermined particle size bins by a set of coefficients per MIL-STD-1246C. In deriving the set of coefficients, the surface particle size distribution is assumed to follow a log-normal relation between particle density and particle size, while the cross-sectional area function is given as a combination of regular geometric shapes. For particles with irregular shapes, the cross-sectional area function cannot describe the true particle area and, therefore, may introduce error in the PAC calculation. Other errors may also be introduced by using the lognormal surface particle size distribution function that highly depends on the environmental cleanliness and cleaning process. In this paper, we present PAC measurements from silicon witness wafers that collected fallouts from a fabric material after vibration testing. PAC calculations were performed through analysis of microscope images and compare them to values derived through the MIL-STD-1246C method. Our results showed that the MIL-STD-1246C method does provide a reasonable upper bound to the PAC values determined through image analysis, in particular for PAC values below 0.1.

  8. ANALYSIS OF THE EVOLUTION OF THE COMPETITIVE ENVIRONMENT IN THE ROMANIAN BANKING SECTOR, THE 2010-2014 PERIOD

    Directory of Open Access Journals (Sweden)

    BÂLDAN FLORENTINA CRISTINA

    2015-07-01

    Full Text Available The Paper “Analysis of the evolution of the competitive environment in the Romanian banking sector, the 2010- 2014 period” takes into account the fact that in the analysed period, the number of the active credit institutions in the Romanian market remained relatively constant. Thus, at the end of the first semester of 2014, the Romanian banking system comprised 40 credit institutions, out of which nine are branches of foreign banks, while after 2010 42 banks operated in the market (out of which nine were branches of foreign banks. The main factors that determine the dynamics of the number of competitors in the banking sector are: relatively high barriers to the entry on the market; high barriers to the exit from the market; the macroeconomic environment, more particularly, the uncertainties related to the main indicators and on the public policies with impact on the business environment. The comparative analysis of the evolution of interests with the situation of the bank charges for banking services covering the highest number of clients, indicates a market power clearly higher of the banks in relation to the clients holding debit cards and a relatively low competition level generated by the even level of the charges. An important cause of this situation consists of high barriers for consumers in relation to changing the supplier banking service (switching costs (especially debit cards. Under such circumstances, the initiatives aimed at increasing the pro-competitive nature of the regulations, especially by eliminating the barriers to changing the supplier (such as the bank account portability, are particularly important from the perspective of the national competition authority

  9. Comparative Analysis of Various Image Fusion Techniques For Biomedical Images: A Review

    Directory of Open Access Journals (Sweden)

    Nayera Nahvi,

    2014-05-01

    Full Text Available Image Fusion is a process of combining the relevant information from a set of images, into a single image, wherein the resultant fused image will be more informative and complete than any of the input images. This paper discusses implementation of DWT technique on different images to make a fused image having more information content. As DWT is the latest technique for image fusion as compared to simple image fusion and pyramid based image fusion, so we are going to implement DWT as the image fusion technique in our paper. Other methods such as Principal Component Analysis (PCA based fusion, Intensity hue Saturation (IHS Transform based fusion and high pass filtering methods are also discussed. A new algorithm is proposed using Discrete Wavelet transform and different fusion techniques including pixel averaging, min-max and max-min methods for medical image fusion. KEYWORDS:

  10. 我国商业银行竞争力分析--五种竞争作用力的一种运用%Competitive Analysis of Commercial Banks---An Apply of Five Kinds of Competitive Analysis

    Institute of Scientific and Technical Information of China (English)

    吴晓忠; 肖尧

    2013-01-01

    本文以迈克尔·波特的五种竞争力分析法为主线,对我国商业银行业的竞争格局进行分析;特别是保险业、证券业的发展,使商业银行面临的替代品不断增多;而随着银行业逐渐地对外开放,外资银行的不断进入使我国银行业面临更大的挑战;另外,银行监管当局和客户通过供给能力和议价能力也会影响银行业的竞争力。%This article analyzes the competitive landscape of commercial banks, basing on five kinds of competitive analysis of Michael Porter. Especially insurance and security are developing continuously, which make commercial banks face more and more substitutes. And with banks gradually open outside, more and more foreign banks enter into China financial market and make China’s banks face more and more challenge. What’s more, bank regulators and clients affect competitive forces through supply power and bargaining power.

  11. On how German retail buyers perceive the identity, image and competitive context of the retailers they work for

    DEFF Research Database (Denmark)

    Esbjerg, Lars

    findings of a study of how German food retailers decide what pork products to buy in which retailer buying behaviour was viewed as an ongoing organisational sensemaking process embedded in, at least, social, organisational, competitive and societal contexts. The aim of the study was to gain...... have been treated as if they were more or less discrete events in previous studies, little is known about the process leading up to a decision being made. Furthermore, scant attention has been paid to the contexts within which retailer buying behaviour occurs. This paper presents some preliminary...... an understanding of how and why retail buyers make certain decisions rather than simply focusing on what they decide. This paper focuses on the beliefs retail buyers have regarding organisational identities and competitive contexts and in particular discusses whether the beliefs regarding organisational identities...

  12. From Pixels to Geographic Objects in Remote Sensing Image Analysis

    NARCIS (Netherlands)

    Addink, E.A.; Van Coillie, Frieke M.B.; Jong, Steven M. de

    2012-01-01

    Traditional image analysis methods are mostly pixel-based and use the spectral differences of landscape elements at the Earth surface to classify these elements or to extract element properties from the Earth Observation image. Geographic object-based image analysis (GEOBIA) has received considerabl

  13. From Pixels to Geographic Objects in Remote Sensing Image Analysis

    NARCIS (Netherlands)

    Addink, E.A.; Van Coillie, Frieke M.B.; Jong, Steven M. de

    Traditional image analysis methods are mostly pixel-based and use the spectral differences of landscape elements at the Earth surface to classify these elements or to extract element properties from the Earth Observation image. Geographic object-based image analysis (GEOBIA) has received

  14. Image analysis and platform development for automated phenotyping in cytomics

    NARCIS (Netherlands)

    Yan, Kuan

    2013-01-01

    This thesis is dedicated to the empirical study of image analysis in HT/HC screen study. Often a HT/HC screening produces extensive amounts that cannot be manually analyzed. Thus, an automated image analysis solution is prior to an objective understanding of the raw image data. Compared to general a

  15. Decentralized Supply Chain Formation: A Market Protocol and Competitive Equilibrium Analysis

    CERN Document Server

    Walsh, W E; 10.1613/jair.1213

    2011-01-01

    Supply chain formation is the process of determining the structure and terms of exchange relationships to enable a multilevel, multiagent production activity. We present a simple model of supply chains, highlighting two characteristic features: hierarchical subtask decomposition, and resource contention. To decentralize the formation process, we introduce a market price system over the resources produced along the chain. In a competitive equilibrium for this system, agents choose locally optimal allocations with respect to prices, and outcomes are optimal overall. To determine prices, we define a market protocol based on distributed, progressive auctions, and myopic, non-strategic agent bidding policies. In the presence of resource contention, this protocol produces better solutions than the greedy protocols common in the artificial intelligence and multiagent systems literature. The protocol often converges to high-value supply chains, and when competitive equilibria exist, typically to approximate competiti...

  16. ECONOMIC COMPETITIVENESS ANALYSIS OF THE REPUBLIC OF MOLDOVA IN TERMS OF: SCIENCE, TECHNOLOGY AND INNOVATION

    Directory of Open Access Journals (Sweden)

    Iulita BIRCA

    2014-02-01

    Full Text Available An important condition for achieving a sustainable economic growth and for improving living standards of the population of the Republic of Moldova is the active involvement of the national economy in the international exchange of goods, services, knowledge, technology, etc., and also strengthening its positions on the international market. Therefore, to achieve and maintain competitiveness has become a fundamental economic policies issue in the context of globalization. In the contemporary world, national economic competitiveness is determined by a wide variety of features and important factors. In this article, the authors will focus their attention on the part of science, technology and innovation as being one of the key tools in the modern future of any modern state.

  17. Bifurcation Analysis in an n-Dimensional Diffusive Competitive Lotka-Volterra System with Time Delay

    Science.gov (United States)

    Chang, Xiaoyuan; Wei, Junjie

    2015-06-01

    In this paper, we investigate the stability and Hopf bifurcation of an n-dimensional competitive Lotka-Volterra diffusion system with time delay and homogeneous Dirichlet boundary condition. We first show that there exists a positive nonconstant steady state solution satisfying the given asymptotic expressions and establish the stability of the positive nonconstant steady state solution. Regarding the time delay as a bifurcation parameter, we explore the system that undergoes a Hopf bifurcation near the positive nonconstant steady state solution and derive a calculation method for determining the direction of the Hopf bifurcation. Finally, we cite the stability of a three-dimensional competitive Lotka-Volterra diffusion system with time delay to illustrate our conclusions.

  18. An analysis of fishing gear competition. Catalan fisheries as case studies

    Directory of Open Access Journals (Sweden)

    Jordi Lleonart

    2013-03-01

    Full Text Available An asymmetric index was developed to measure the competition relationships among fishing fleets (or gears or métiers in a multispecies fishery. This index can be used to measure the degree of dominance of each fleet and its level of independence from competition. To illustrate the concepts, the index is applied to two case studies using two datasets, both from Catalonia, NW Mediterranean. The results show that in both case studies the dominance of bottom trawl over most other gears (especially small-scale ones is evidenced and quantitatively measured. Bottom trawl is also highly independent of the others. Purse seine appears to be quite independent, but not dominant over the other gears. A practical use of these asymmetric indices is to assist fisheries managers in the decision-making process to optimize the allocation of fishing effort, including energy efficiency, and to reduce environmental impact.

  19. 浅析科学技术与竞技体育%Analysis of science and technology and competitive sports

    Institute of Scientific and Technical Information of China (English)

    李铁; 王路猛

    2013-01-01

    科学技术之于竞技体育,是一把双刃剑。纵观古今可以清晰地看到,科学技术给了竞技体育蓬勃的发展和优异的成果,,但与此同时,它也给竞技体育带来了很不良好的影响。鉴于此,我们当今的首要任务即是分析科学技术对竞技体育所产生的具体不良影响,并对此做出对应的解决方法,从而达到合理运用科学技术来实现竞技体育良性发展的最终目的。本文通过对科学技术和竞技体育之间的辨证关系进行分析,并与奥运会赛事的实践经历相结合,来深度探讨在科技的快速发展下如何使体育能够健康发展,同时也希望本文能够为二者的相互结合提供新的方法和思路。%The science and technology in competitive sports,is a double-edged sword. Throughout history can clearly see that science and technology to the flourishing development of competitive sports and the outstanding achievements,,but at the same time,it also brought very bad good influence to competitive sports.In view of this,our today’s first priority is the analysis on competitive sports of science and technology of the specific impact,and make corresponding solution,so as to achieve a reasonable use of science and technology to achieve the ultimate goal of the benign development of competitive sports.Based on the dialectical relationship between science and technology and competitive sports are analyzed,and combined with the practical experience of Olympic events,to in-depth under the rapid development of science and technology of how to make for the healthy development of sports,at the same time also hope that this article can provide new method and idea for the combination of both.

  20. [Competitive karate and the risk of HIV infection--review, risk analysis and risk minimizing strategies].

    Science.gov (United States)

    Müller-Rath, R; Mumme, T; Miltner, O; Skobel, E

    2004-03-01

    Bleeding facial injuries are not uncommon in competitive karate. Nevertheless, the risk of an infection with HIV is extremely low. Guidelines about the prevention of HIV infections are presented. Especially in contact sports and martial arts the athletes, judges and staff have to recognize and employ these recommendations. Bleeding wounds of the hands due to contact with the opponents teeth can be minimized by fist padding.

  1. Mail versus Mall: A Strategic Analysis of Competition between Direct Marketers and Conventional Retailers

    OpenAIRE

    Sridhar Balasubramanian

    1998-01-01

    Consumers now purchase several offerings from direct sellers, including catalog and Internet marketers. These direct channels exist in parallel with the conventional retail stores. The availability of multiple channels has significant implications for the performance of consumer markets. The literature in marketing and economics has, however, been dominated by a focus on the conventional retail sector. This paper is an effort toward modeling competition in the multiple-channel environment fro...

  2. An Analysis of Competition over Interest Rate among Banks in China

    Institute of Scientific and Technical Information of China (English)

    顾翌乐; 陈湛匀

    2003-01-01

    In 2000, the central bank of China adopted a policy to gradually liberalize its interest rate, and thus raised the curtain of competition over interest rate among the banks in China. The objective of this study is to put a focus on the existing banking market environment and thereafter the gaming behaviors of the banks on different stages given the interest rate is loosened gradually as scheduled.

  3. THE ROLE OF MARKETING IN CORPORATE COMPETITIVENESS: MARKETING PRACTICE ANALYSIS OF HUNGARIAN COMPANIES

    OpenAIRE

    Kenesei, Zsófia; Gyulavári, Tamás; László SEER

    2013-01-01

    The objective of this article is to analyse the marketing practice of Hungarian companies. On the one hand, the role of marketing function in the company has been revealed, and on the other hand the relationship between marketing efforts and market performance has been investigated. In frame of the Hungarian Competitiveness Studies, 300 marketing executives were surveyed to rate the marketing practice of their companies, concentrating on branding, pricing policy, applied marketing channels an...

  4. THE ROLE OF MARKETING IN CORPORATE COMPETITIVENESS: MARKETING PRACTICE ANALYSIS OF HUNGARIAN COMPANIES

    OpenAIRE

    Zsófia KENESEI; Gyulavári, Tamás; László SEER

    2013-01-01

    The objective of this article is to analyse the marketing practice of Hungarian companies. On the one hand, the role of marketing function in the company has been revealed, and on the other hand the relationship between marketing efforts and market performance has been investigated. In frame of the Hungarian Competitiveness Studies, 300 marketing executives were surveyed to rate the marketing practice of their companies, concentrating on branding, pricing policy, applied marketing channels an...

  5. Competition for attentional resources between low spatial frequency content of emotional images and a foreground task in early visual cortex.

    Science.gov (United States)

    Müller, Matthias M; Gundlach, Christopher

    2017-03-01

    Low spatial frequency (LSF) image content has been proposed to play a superior functional role in emotional content extraction via the magnocellular pathway biasing attentional resources toward emotional content in visual cortex. We investigated whether emotionally unpleasant complex images that were presented either unfiltered or with LSF content only in the background while subjects performed a foreground task will withdraw more attentional resources from the task compared to unemotional, neutral images (distraction paradigm). We measured steady-state visual evoked potentials (SSVEPs) driven by flickering stimuli of a foreground task. Unfiltered unpleasant images resulted in a significant reduction of SSVEP amplitude compared to neutral images. No statistically significant differences were found with LSF background images. In a behavioral control experiment, we found no significant differences for complexity ratings between unfiltered and LSF pictures. Content identification was possible for unfiltered and LSF picture (correct responses > 74%). An additional EEG study examined typical emotion-related components for complex images presented either as unfiltered, LSF, or high spatial frequency (HSF, as an additional control) filtered, unpleasant, and neutral images. We found a significant main effect of emotional valence in the early posterior negativity. Late positive potential differences were only found for unfiltered and HSF images. Results suggest that, while LSF content is sufficient to allow for content and emotional cue extraction when images were presented alone, LSF content is not salient enough to serve as emotional distractor that withdraws attentional resources from a foreground task in early visual cortex. © 2016 Society for Psychophysiological Research.

  6. SUSTAINABLE COMPETITIVENESS THROUGH QUALITY TRANSFORMATION: A LONGITUDINAL ANALYSIS OF QUALITY AWARD WINNERS AND A PROPOSED FRAMEWORK

    Directory of Open Access Journals (Sweden)

    Mohd Ashari Idris

    2002-01-01

    Full Text Available Quality management is a dynamic philosophy that underlines the organisational adaptation and proactive transformation that enables firms to reap real benefits from market opportunities. The faster the market changes, the quicker the transformation that is required for sustaining the firm's internal capabilities and its external competitiveness. Under a competitive pressure, a firm will need to learn faster and lead in best practice for operational excellence and continuously finding ways to shield its advantage from imitation.In the search for determinants for sustainability, this article analyses best practices adopted by quality award-winning organisations and synthesises a collection of critical factors that could assist organisations in improving their performance. From a longitudinal learning on how these leading organisations led themselves into a new sustaining paradigm, the article makes explicit the factors that were considered of paramount importance to sustainability. These success factors become a basis for others to leapfrog ahead into a new performance orbit. A proposed model for sustaining competitiveness has been developed from the creative learning of best practices of leading organisations. This proposed framework presents companies with an opportunity to emulate successful implementation of TQ-based initiatives, and to embed these pioneering concepts, particularly in the context of emerging countries.

  7. Analysis of Competitiveness and Support Instruments for Heat and Electricity Production from Wood Biomass in Latvia

    Science.gov (United States)

    Klavs, G.; Kudrenickis, I.; Kundzina, A.

    2012-01-01

    Utilisation of renewable energy sources is one of the key factors in a search for efficient ways of reducing the emissions of greenhouse gases and improving the energy supply security. So far, the district heating supply in Latvia has been based on natural gas, with the wood fuel playing a minor role; the same is true for decentralised combined heat-power (CHP) production. The paper describes a method for evaluation of the economic feasibility of heat and electricity production from wood biomass under the competition between different fuel types and taking into account the electricity market. For the simulation, a cost estimation model is applied. The results demonstrate that wood biomass can successfully be utilised for competitive heat production by boiler houses, while for electricity production by CHP utilities it cannot compete on the market (even despite the low prices on wood biomass fuel) unless particular financial support instruments are applied. The authors evaluate the necessary support level and the impact of two main support instruments - the investment subsidies and the feed-in tariff - on the economic viability of wood-fuelled CHP plants, and show that the feed-in tariff could be considered as an instrument strongly affecting the competitiveness of such type CHP. Regarding the feed-in tariff determination, a compromise should be found between the economy-dictated requirement to develop CHP projects concerning capacities above 5 MWel - on the one hand, and the relatively small heat loads in many Latvian towns - on the other.

  8. Banking Competition and Efficiency: Empirical Analysis on the Bosnia and Herzegovina Using Panzar-Rosse Model

    Directory of Open Access Journals (Sweden)

    Memić Deni

    2015-03-01

    Full Text Available Background: Competition in the banking industry has been an important topic in the scientific literature as researchers tried to assess the level of competition in the banking sector. Objectives: This paper has an aim to investigate the market structure and a long term equilibrium of the banking market in Bosnia and Herzegovina nationwide as well as on its constitutional entities as well as to evaluate the monopoly power of banks during the years 2008-2012. Methods/Approach: The paper is examining the market structure using the most frequently applied measures of concentration k-bank concentration ratio (CRk and Herfindahl-Hirschman Index (HHI as well as evaluating the monopoly power of banks by employing Panzar-Rosse “H-statistic”. Results: The empirical results using CRk and HHI show that Bosnia and Herzegovina banking market has a moderately concentrated market with a concentration decreasing trend. The Panzar-Rosse “H-statistic” suggests that banks in Bosnia and Herzegovina operate under monopoly or monopolistic competition depending on the market segment. Conclusions: Banks operating on the banking market in Bosnia and Herzegovina seem to be earning their total and interest revenues under monopoly or perfectly collusive oligopoly.

  9. Aggregation Analysis for Competitive Multiagent Systems With Saddle Points via Switching Strategies.

    Science.gov (United States)

    Zhu, Liying; Xiang, Zhengrong

    2017-06-16

    This paper addresses the aggregation issues of competitive multiagent systems (CMASs) consisting of competitive agents with multimodes and saddle points. In such CMASs, due to existing mutual competitions, every agent is equipped with finite multimodes, and every mode in any agent is described as a second-order linear time-invariant (LTI) control system. When the origin is the same saddle point of all modes of agents, to investigate aggregation of the CMASs with switching strategies, we first use switched LTI systems with saddle points to formulate such CMASs. Then, two new stability concepts, called initial-state-dependent ISD) stability and initial-state-independent (ISI) stability, are defined for the CMASs. Based on these new stability concepts, a practical criterion of local/global ISI asymptotic aggregation is proposed for the CMASs. A local/global ISD/ISI asymptotical-stabilizing-control observed as distributed controls of multimodes, stabilizing-switching-paths, and a corresponding algorithm are all designed for local/global aggregation of such CMASs with switching delays. Finally, a numerical example illustrates the effectiveness and practicality of our new results.

  10. Quantitative analysis of competition in posttranscriptional regulation reveals a novel signature in target expression variation.

    Science.gov (United States)

    Klironomos, Filippos D; Berg, Johannes

    2013-02-19

    When small RNAs are loaded onto Argonaute proteins they can form the RNA-induced silencing complexes (RISCs), which mediate RNA interference (RNAi). RISC-formation is dependent on a shared pool of Argonaute proteins and RISC-loading factors, and is susceptible to competition among small RNAs. We present a mathematical model that aims to understand how small RNA competition for RISC-formation affects target gene repression. We discuss that small RNA activity is limited by RISC-formation, RISC-degradation, and the availability of Argonautes. We show that different competition conditions for RISC-loading result in different signatures of RNAi determined also by the amount of RISC-recycling taking place. In particular, we find that the small RNAs, although less efficient at RISC-formation, can perform in the low RISC-recycling range as well as their more effective counterparts. Additionally, we predict that under conditions of low RISC-loading efficiency and high RISC-recycling, the variation in target levels increases linearly with the target transcription rate. Furthermore, we show that RISC-recycling determines the effect that Argonaute scarcity conditions have on target expression variation. Our observations, taken together, offer a framework of predictions that can be used to infer from data the particular characteristics of underlying RNAi activity.

  11. Blind Analysis of CT Image Noise Using Residual Denoised Images

    CERN Document Server

    Roychowdhury, Sohini; Alessio, Adam

    2016-01-01

    CT protocol design and quality control would benefit from automated tools to estimate the quality of generated CT images. These tools could be used to identify erroneous CT acquisitions or refine protocols to achieve certain signal to noise characteristics. This paper investigates blind estimation methods to determine global signal strength and noise levels in chest CT images. Methods: We propose novel performance metrics corresponding to the accuracy of noise and signal estimation. We implement and evaluate the noise estimation performance of six spatial- and frequency- based methods, derived from conventional image filtering algorithms. Algorithms were tested on patient data sets from whole-body repeat CT acquisitions performed with a higher and lower dose technique over the same scan region. Results: The proposed performance metrics can evaluate the relative tradeoff of filter parameters and noise estimation performance. The proposed automated methods tend to underestimate CT image noise at low-flux levels...

  12. Automated regional behavioral analysis for human brain images

    National Research Council Canada - National Science Library

    Lancaster, Jack L; Laird, Angela R; Eickhoff, Simon B; Martinez, Michael J; Fox, P Mickle; Fox, Peter T

    2012-01-01

    Behavioral categories of functional imaging experiments along with standardized brain coordinates of associated activations were used to develop a method to automate regional behavioral analysis of human brain images...

  13. Nutritional analysis of dietary intake of professional female volleyball players during the competitive phase of the regular season

    Directory of Open Access Journals (Sweden)

    Juan Mielgo-Ayuso

    2013-03-01

    Full Text Available Introduction: nutritional aspects women’s volleyball has been little studied and more in a specific period of training as the competitive period. The aim is to assess and know the caloric and macronutrients intake by professional volleyball players of the Spanish Superliga for 16 weeks of training for the competition phase and compare with the references marked for athlete population.Material and methods: the study included 10 female volleyball players (JVF (26.6±5.9 years and height 178.05±8.7cm, for a total of 16 weeks of training and competition. They all gave written informed consent. They completed a food intake frequency questionary of the 16 week study, data corroborated by a dietary record (CFCA of 7 consecutive days in week 9 and 16. We were calculated daily nutritional intake from CFCA with the food composition table of CESNID by Easy Diet software, the Spanish Association of Dietitians-Nutritionists (AEDN.Results: the energy and nutritional analysis of the female professional volleyball players shows that the amount of energy and macronutrients does not meet to the recommendations for sports collective.Conclusions: it is observed low energy and carbohydrates intake and high intake of protein and lipids. Recommended practical aspects for improving nutrition education in this professional sports group.

  14. 我国大米的外贸竞争力分析%Analysis of Chinese Rice Foreign Trade Competitiveness

    Institute of Scientific and Technical Information of China (English)

    白建军; 徐立青

    2012-01-01

    大米是我国人口消费的主要粮食产品,其生产与贸易状况直接关系到我国的粮食安全.从我国大米进出口种类、贸易量、贸易额以及进出口市场的现状出发,采用国际市场占有率和贸易竞争力指数这2项指标分析比较了亚洲4个大米贸易大国(中国、泰国、巴基斯坦和印度)的大米外贸竞争力.结果表明,同泰国、巴基斯坦和印度相比,我国大米的外贸竞争力较弱.同时,从政府政策、出口价格、质量3个方面进行了分析,并提出了提高我国大米外贸竞争力的3点政策建议.%As one sort of main food products for Chinese people consume, rice production and trade is directly related to our country's food security. This paper proceed from present situation of China's rice foreign trade in terms of its sorts, trade volume and amount, and adopting of two indicators-international market shares and trade competitiveness index, analyzed and compared rice trade competitiveness with four Asian countries including China, Thailand, Pakistan and India. The result showed that compared with the other three countries, China's competitiveness of rice foreign trade was weaker. In adition, a reason analysis was conducted from the perspective of governmental policy, export price and quality, and three points of suggestions were put forward to improve the competitiveness of Chinese rice foreign trade.

  15. Getting to know the competition: a content analysis of publicly and corporate funded physical activity advertisements.

    Science.gov (United States)

    Berry, Tanya R; McCarville, Ron E; Rhodes, Ryan E

    2008-03-01

    The purpose of this research was to conduct a content analysis of physical activity advertisements in an effort to determine which advertisements were more likely to include features that may attract and maintain attention levels. Fifty-seven advertisements were collected from top circulation Canadian magazines. The advertisements ranged from publicly funded health promotion pieces to corporate sponsored advertisements using physical activity to sell a product. Advertisements were examined for textual and pictorial factors thought to increase attention allocated to advertising of this nature. Only two public health advertisements were found, and the majority of advertisements (57.9%) were from commercial advertisers using physical activity images to sell products or to encourage brand recognition. The advertisements originating with the private sector tended to possess most of the characteristics thought to attract the attention of readers. Once this attention was gained, however, most of these advertisements failed to highlight the benefits of physical activity. As a result, the positive effect of these advertisements may have been compromised. Public health advertisements were so infrequent that we could not compare their characteristics with those originating with the private sector. The characteristics with those we did find were inconsistent with those thought to attract and maintain attention levels. Results are discussed in terms of potential implications for promoting physical activity.

  16. Competitiveness in mass tourism

    OpenAIRE

    Claver Cortés, Enrique; Molina-Azorín, José F.; Pereira-Moliner, Jorge

    2007-01-01

    This paper offers an indepth analysis of a second-generation destination specializing in sun and sand mass tourism: Benidorm, Spain. Contrary to the view of many researchers, it is argued that such destinations need not inevitably decline and can in fact continue to be competitive. The persistence of this sun and sand mass tourism model is shown empirically through an analysis of its evolution and competitive situation. The paper offers suggestions about the strategies Benidorm hotels s...

  17. Direct identification of fungi using image analysis

    DEFF Research Database (Denmark)

    Dørge, Thorsten Carlheim; Carstensen, Jens Michael; Frisvad, Jens Christian

    1999-01-01

    Filamentous fungi have often been characterized, classified or identified with a major emphasis on macromorphological characters, i.e. the size, texture and color of fungal colonies grown on one or more identification media. This approach has been rejcted by several taxonomists because of the sub......Filamentous fungi have often been characterized, classified or identified with a major emphasis on macromorphological characters, i.e. the size, texture and color of fungal colonies grown on one or more identification media. This approach has been rejcted by several taxonomists because...... of the subjectivity in the visual evaluation and quantification (if any)of such characters and the apparent large variability of the features. We present an image analysis approach for objective identification and classification of fungi. The approach is exemplified by several isolates of nine different species...... of the genus Penicillium, known to be very difficult to identify correctly. The fungi were incubated on YES and CYA for one week at 25 C (3 point inoculation) in 9 cm Petri dishes. The cultures are placed under a camera where a digital image of the front of the colonies is acquired under optimal illumination...

  18. MORPHOLOGICAL GRANULOMETRIC ANALYSIS OF SEDIMENT IMAGES

    Directory of Open Access Journals (Sweden)

    Yoganand Balagurunathan

    2011-05-01

    Full Text Available Sediments are routinely analyzed in terms of the sizing characteristics of the grains of which they are composed. Via sieving methods, the grains are separated and a weight-based size distribution constructed. Various moment parameters are computed from the size distribution and these serve as sediment characteristics. This paper examines the feasibility of a fully electronic granularity analysis using digital image processing. The study uses a random model of three-dimensional grains in conjunction with the morphological method of granulometric size distributions. The random model is constructed to simulate sand, silt, and clay particle distributions. Owing to the impossibility of perfectly sifting small grains so that they do not touch, the model is used in both disjoint and non-disjoint modes, and watershed segmentation is applied in the non-disjoint model. The image-based granulometric size distributions are transformed so that they take into account the necessity to view sediment fractions at different magnifications and in different frames. Gray-scale granulometric moments are then computed using both ordinary and reconstructive granulometries. The resulting moments are then compared to moments found from real grains in seven different sediments using standard weight-based size distributions.

  19. Accuracy of Image Analysis in Quantitative Study of Cement Paste

    Directory of Open Access Journals (Sweden)

    Feng Shu-Xia

    2016-01-01

    Full Text Available Quantitative study on cement paste especially blended cement paste has been a hot and difficult issue over the years, and the technique of backscattered electron image analysis showed unique advantages in this field. This paper compared the test results of cement hydration degree, Ca(OH2 content and pore size distribution in pure pastes by image analysis and other methods. Then the accuracy of qualitative study by image analysis was analyzed. The results showed that image analysis technique had displayed higher accuracy in quantifying cement hydration degree and Ca(OH2 content than non-evaporable water test and thermal analysis respectively.

  20. Image analysis and microscopy: a useful combination

    Directory of Open Access Journals (Sweden)

    Pinotti L.

    2009-01-01

    Full Text Available The TSE Roadmap published in 2005 (DG for Health and Consumer Protection, 2005 suggests that short and medium term (2005-2009 amendments to control BSE policy should include “a relaxation of certain measures of the current total feed ban when certain conditions are met”. The same document noted “the starting point when revising the current feed ban provisions should be risk-based but at the same time taking into account the control tools in place to evaluate and ensure the proper implementation of this feed ban”. The clear implication is that adequate analytical methods to detect constituents of animal origin in feedstuffs are required. The official analytical method for the detection of constituents of animal origin in feedstuffs is the microscopic examination technique as described in Commission Directive 2003/126/EC of 23 December 2003 [OJ L 339, 24.12.2003, 78]. Although the microscopic method is usually able to distinguish fish from land animal material, it is often unable to distinguish between different terrestrial animals. Fulfillments of the requirements of Regulation 1774/2002/EC laying down health rules concerning animal by-products not intended for human consumption, clearly implies that it must be possible to identify the origin animal materials, at higher taxonomic levels than in the past. Thus improvements in all methods of detecting constituents of animal origin are required, including the microscopic method. This article will examine the problem of meat and bone meal in animal feeds, and the use of microscopic methods in association with computer image analysis to identify the source species of these feedstuff contaminants. Image processing, integrated with morphometric measurements can provide accurate and reliable results and can be a very useful aid to the analyst in the characterization, analysis and control of feedstuffs.

  1. Friendly competition.

    Science.gov (United States)

    Chambers, David W

    2006-01-01

    Competition that is characterized by rules, often informal, agreed among mutually accepted participants, and that gives the competitors a special, advantageous status with others is called friendly competition. Dentists have engaged in it deeply and it is good for the profession. Friendly competition offers the advantages of spillover of commonly useful information and technologies, stimulation of innovation, a united and convenient face to customers and suppliers, and standards that promote growth. Friendly competition increases the size of the pie, regardless of market share. Paradoxically, this is even true for the little guy in the shadow of the giant. If carried to extremes, unfriendly competition leads to destroying competitors, the confusion of multiple rules, and encouragement of disruptive change.

  2. Maternal Competition in Women.

    Science.gov (United States)

    Linney, Catherine; Korologou-Linden, Laurel; Campbell, Anne

    2017-03-01

    We examined maternal competition, an unexplored form of competition between women. Given women's high investment in offspring and mothers' key role in shaping their reproductive, social, and cultural success as adults, we might expect to see maternal competition between women as well as mate competition. Predictions about the effect of maternal characteristics (age, relationship status, educational background, number of children, investment in the mothering role) and child variables (age, sex) were drawn from evolutionary theory and sociological research. Mothers of primary school children (in two samples: N = 210 and 169) completed a series of questionnaires. A novel nine-item measure of maternal competitive behavior (MCQ) and two subscales assessing Covert (MCQ-C) and Face-to-Face (MCQ-FF) forms of competition were developed using confirmatory factor analysis. Competitiveness (MCQ score) was predicted by maternal investment, single motherhood, fewer children, and (marginally) child's older age. The effect of single motherhood (but not other predictors) was partially mediated by greater maternal investment. In response to a scenario of their child underperforming relative to their peers, a mother's competitive distress was a positive function of the importance she ascribed to their success and her estimation of her child's ability. Her competitive distress was highly correlated with the distress she attributed to a female friend, hinting at bidirectional dyadic effects. Qualitative responses indicated that nonspecific bragging and boasting about academic achievements were the most common irritants. Although 40% of women were angered or annoyed by such comments, less than 5% endorsed a direct hostile response. Instead, competitive mothers were conversationally shunned and rejected as friends. We suggest that the interdependence of mothers based on reciprocal childcare has supported a culture of egalitarianism that is violated by explicit competitiveness.

  3. Image processing and analysis with graphs theory and practice

    CERN Document Server

    Lézoray, Olivier

    2012-01-01

    Covering the theoretical aspects of image processing and analysis through the use of graphs in the representation and analysis of objects, Image Processing and Analysis with Graphs: Theory and Practice also demonstrates how these concepts are indispensible for the design of cutting-edge solutions for real-world applications. Explores new applications in computational photography, image and video processing, computer graphics, recognition, medical and biomedical imaging With the explosive growth in image production, in everything from digital photographs to medical scans, there has been a drast

  4. Some selected quantitative methods of thermal image analysis in Matlab.

    Science.gov (United States)

    Koprowski, Robert

    2016-05-01

    The paper presents a new algorithm based on some selected automatic quantitative methods for analysing thermal images. It shows the practical implementation of these image analysis methods in Matlab. It enables to perform fully automated and reproducible measurements of selected parameters in thermal images. The paper also shows two examples of the use of the proposed image analysis methods for the area of ​​the skin of a human foot and face. The full source code of the developed application is also provided as an attachment. The main window of the program during dynamic analysis of the foot thermal image.

  5. High resolution ultraviolet imaging spectrometer for latent image analysis.

    Science.gov (United States)

    Lyu, Hang; Liao, Ningfang; Li, Hongsong; Wu, Wenmin

    2016-03-21

    In this work, we present a close-range ultraviolet imaging spectrometer with high spatial resolution, and reasonably high spectral resolution. As the transmissive optical components cause chromatic aberration in the ultraviolet (UV) spectral range, an all-reflective imaging scheme is introduced to promote the image quality. The proposed instrument consists of an oscillating mirror, a Cassegrain objective, a Michelson structure, an Offner relay, and a UV enhanced CCD. The finished spectrometer has a spatial resolution of 29.30μm on the target plane; the spectral scope covers both near and middle UV band; and can obtain approximately 100 wavelength samples over the range of 240~370nm. The control computer coordinates all the components of the instrument and enables capturing a series of images, which can be reconstructed into an interferogram datacube. The datacube can be converted into a spectrum datacube, which contains spectral information of each pixel with many wavelength samples. A spectral calibration is carried out by using a high pressure mercury discharge lamp. A test run demonstrated that this interferometric configuration can obtain high resolution spectrum datacube. The pattern recognition algorithm is introduced to analyze the datacube and distinguish the latent traces from the base materials. This design is particularly good at identifying the latent traces in the application field of forensic imaging.

  6. Dynamic Chest Image Analysis: Model-Based Perfusion Analysis in Dynamic Pulmonary Imaging

    Directory of Open Access Journals (Sweden)

    Kiuru Aaro

    2003-01-01

    Full Text Available The "Dynamic Chest Image Analysis" project aims to develop model-based computer analysis and visualization methods for showing focal and general abnormalities of lung ventilation and perfusion based on a sequence of digital chest fluoroscopy frames collected with the dynamic pulmonary imaging technique. We have proposed and evaluated a multiresolutional method with an explicit ventilation model for ventilation analysis. This paper presents a new model-based method for pulmonary perfusion analysis. According to perfusion properties, we first devise a novel mathematical function to form a perfusion model. A simple yet accurate approach is further introduced to extract cardiac systolic and diastolic phases from the heart, so that this cardiac information may be utilized to accelerate the perfusion analysis and improve its sensitivity in detecting pulmonary perfusion abnormalities. This makes perfusion analysis not only fast but also robust in computation; consequently, perfusion analysis becomes computationally feasible without using contrast media. Our clinical case studies with 52 patients show that this technique is effective for pulmonary embolism even without using contrast media, demonstrating consistent correlations with computed tomography (CT and nuclear medicine (NM studies. This fluoroscopical examination takes only about 2 seconds for perfusion study with only low radiation dose to patient, involving no preparation, no radioactive isotopes, and no contrast media.

  7. Analysis of Taekwondo Competition Rhythm%浅析跆拳道的比赛节奏

    Institute of Scientific and Technical Information of China (English)

    郭世华

    2016-01-01

    Taekwondo competition rhythm refers to the time intervals relationship between movements and combined leg actions during the competiton.Taekwondo is a rhythmic competition,rhythm is exists all the time, and one of the main factors in Taekwondo competitions winning.This paper adopts literature data method, observation method,interview method,to research the rhythm in the Taekwondo,to understand the factors affecting performance in the game,aiming at offering reference for coaches training and athletes self adjustment.%跆拳道的比赛节奏指在竞赛的过程中,运动员的技术动作与技术动作之间,组合腿法与组合腿法之间的时间间隔关系。跆拳道运动是一项比较讲节奏感的运动竞技项目,在比赛或训练中,节奏一直存在于运动员之间,直观地说跆拳道比赛致胜的主--点就是节奏。本文采用文献资料法、训练观察法、访谈法等对跆拳道比赛中的节奏进行研究,了解影响运动员比赛发挥的因素,为教练员更好的训练和运动员自我调节提供借鉴和参考。

  8. Semi-automated competitive protein binding analysis of serum thyroxine on reusable Sephadex columns and its advantages over radioimmunoassay.

    Science.gov (United States)

    Alexander, N M

    1976-06-01

    Competitive protein-binding analysis of serum thyroxine on small, reusable, Sephadex columns has been further studied and improved. The improved, semi-automated procedure results in reduced working time and costs. It has also been established that triiodothyronine crossreacts only 1/6 to 1/9 as well as thyroxine, and can be ignored because it represents only about 1/80 of the total serum iodothyronine content. The economic and methodological advantages of the improved method over radioammunoassay and other displacement assays are discussed.

  9. Criteria of Analysis of Products of Automakers in the Process of Strategic Marketing Provision of its Competitiveness

    Directory of Open Access Journals (Sweden)

    Yurynets Oksana V.

    2013-12-01

    Full Text Available The article conducts analysis of main methods of classification of automakers’ products for analysing the products competitiveness in the market. It reveals key factors of influence upon the consumer in the process of car selection for further purchase. It studies modern tendencies in the auto market in Ukraine. It shows specific features of regional markets. It specifies main directions of improvement of the trade policy of domestic enterprises in accordance with modern tendencies of the branch. It formulates prospects of future studies regarding improvement of main components of the marketing complex directed at promotion of automakers’ products.

  10. Survival and Stationary Distribution Analysis of a Stochastic Competitive Model of Three Species in a Polluted Environment.

    Science.gov (United States)

    Zhao, Yu; Yuan, Sanling; Ma, Junling

    2015-07-01

    In this paper, we develop and study a stochastic model for the competition of three species with a generalized dose-response function in a polluted environment. We first carry out the survival analysis and obtain sufficient conditions for the extinction, non-persistence, weak persistence in the mean, strong persistence in the mean and stochastic permanence. The threshold between weak persistence in the mean and extinction is established for each species. Then, using Hasminskii's methods and a Lyapunov function, we derive sufficient conditions for the existence of stationary distribution for each population. Numerical simulations are carried out to support our theoretical results, and some biological significance is presented.

  11. APPROACHES ON THE COMPETITIVE INTELLIGENCE

    OpenAIRE

    Ioan PETRIŞOR; Natalia Ana STRĂIN (SILAŞ)

    2013-01-01

    Within this study, we approached the concept of "competitive intelligence" (CI), which we consider a key element for the success of a business, especially in the current period, characterized by numerous economic and financial turbulence. According to Society of Competitive Intelligence (SCIP), competitive intelligence is defined as a method of ethical and moral collection, analysis and dissemination of information regarding the competitive environment, opportunities, vulnerabilities, and int...

  12. Competitor calibration and analysis of competitive amplified PCR products by high-performance liquid chromatography (HPLC).

    Science.gov (United States)

    Köhler, T

    1999-01-01

    To assay gene expression or virus genomes in tissues or body fluids, competitive polymerase chain reaction (cPCR) is now performed in many laboratories. cPCR is a quantitative adaption of the PCR method in which a known number of copies of a synthetic RNA (1) or DNA (2-4) is coamplified with the target sample and therefore compete for the common primers and reagents in the same reaction tube. After coamplification, both products are distinguished by characteristic features, e.g., size, mostly by electrophoretic methods, or by probe-specific hybridization, e.g., PCR-ELISA (4,5).

  13. THE ROLE OF MARKETING IN CORPORATE COMPETITIVENESS: MARKETING PRACTICE ANALYSIS OF HUNGARIAN COMPANIES

    Directory of Open Access Journals (Sweden)

    Zsófia KENESEI

    2013-06-01

    Full Text Available The objective of this article is to analyse the marketing practice of Hungarian companies. On the one hand, the role of marketing function in the company has been revealed, and on the other hand the relationship between marketing efforts and market performance has been investigated. In frame of the Hungarian Competitiveness Studies, 300 marketing executives were surveyed to rate the marketing practice of their companies, concentrating on branding, pricing policy, applied marketing channels and promotional activities. The results confirm that sophisticated marketing practice leads to higher business performance.

  14. Motocross biking for competition and for recreation: a prospective analysis of 423 injured riders

    OpenAIRE

    Singh, Rohit; Theobald, Peter; Hamad, A. K.; Hay, Stuart

    2015-01-01

    Background: Motocross is a form of motorcycle racing held on established off-road circuits and has been a recreational and competitive sport across the world for over 100 years. In the UK alone, motocross has grown into a phenomenally ambitious and popular franchise. There are over 200 motocross clubs across the country, permitting over 900 events annually. \\ud \\ud \\ud Method: Data were collected prospectively over 4 years (from 2010 to 2014) at our unit. All injuries caused by motocross biki...

  15. Analysis of Galileo Style Geostationary Satellite Imaging: Image Reconstruction

    Science.gov (United States)

    2012-09-01

    obtained using only baselines longer than 8 m does not sample the short spacial frequencies, and the image reconstruction is not able to recover the...the long spacial frequencies sampled in a shorter baseline overlap the short spacial frequencies sampled in a longer baseline. This technique will

  16. Link Graph Analysis for Adult Images Classification

    CERN Document Server

    Kharitonov, Evgeny; Muchnik, Ilya; Romanenko, Fedor; Belyaev, Dmitry; Kotlyarov, Dmitry

    2010-01-01

    In order to protect an image search engine's users from undesirable results adult images' classifier should be built. The information about links from websites to images is employed to create such a classifier. These links are represented as a bipartite website-image graph. Each vertex is equipped with scores of adultness and decentness. The scores for image vertexes are initialized with zero, those for website vertexes are initialized according to a text-based website classifier. An iterative algorithm that propagates scores within a website-image graph is described. The scores obtained are used to classify images by choosing an appropriate threshold. The experiments on Internet-scale data have shown that the algorithm under consideration increases classification recall by 17% in comparison with a simple algorithm which classifies an image as adult if it is connected with at least one adult site (at the same precision level).

  17. SAR Image Texture Analysis of Oil Spill

    Science.gov (United States)

    Ma, Long; Li, Ying; Liu, Yu

    Oil spills are seriously affecting the marine ecosystem and cause political and scientific concern since they have serious affect on fragile marine and coastal ecosystem. In order to implement an emergency in case of oil spills, it is necessary to monitor oil spill using remote sensing. Spaceborne SAR is considered a promising method to monitor oil spill, which causes attention from many researchers. However, research in SAR image texture analysis of oil spill is rarely reported. On 7 December 2007, a crane-carrying barge hit the Hong Kong-registered tanker "Hebei Spirit", which released an estimated 10,500 metric tons of crude oil into the sea. The texture features on this oil spill were acquired based on extracted GLCM (Grey Level Co-occurrence Matrix) by using SAR as data source. The affected area was extracted successfully after evaluating capabilities of different texture features to monitor the oil spill. The results revealed that the texture is an important feature for oil spill monitoring. Key words: oil spill, texture analysis, SAR

  18. Analysis of physical processes via imaging vectors

    Science.gov (United States)

    Volovodenko, V.; Efremova, N.; Efremov, V.

    2016-06-01

    Practically, all modeling processes in one way or another are random. The foremost formulated theoretical foundation embraces Markov processes, being represented in different forms. Markov processes are characterized as a random process that undergoes transitions from one state to another on a state space, whereas the probability distribution of the next state depends only on the current state and not on the sequence of events that preceded it. In the Markov processes the proposition (model) of the future by no means changes in the event of the expansion and/or strong information progression relative to preceding time. Basically, modeling physical fields involves process changing in time, i.e. non-stationay processes. In this case, the application of Laplace transformation provides unjustified description complications. Transition to other possibilities results in explicit simplification. The method of imaging vectors renders constructive mathematical models and necessary transition in the modeling process and analysis itself. The flexibility of the model itself using polynomial basis leads to the possible rapid transition of the mathematical model and further analysis acceleration. It should be noted that the mathematical description permits operator representation. Conversely, operator representation of the structures, algorithms and data processing procedures significantly improve the flexibility of the modeling process.

  19. Improving Breast Cancer Survival Analysis through Competition-Based Multidimensional Modeling

    Science.gov (United States)

    Bilal, Erhan; Dutkowski, Janusz; Guinney, Justin; Jang, In Sock; Logsdon, Benjamin A.; Pandey, Gaurav; Sauerwine, Benjamin A.; Shimoni, Yishai; Moen Vollan, Hans Kristian; Mecham, Brigham H.; Rueda, Oscar M.; Tost, Jorg; Curtis, Christina; Alvarez, Mariano J.; Kristensen, Vessela N.; Aparicio, Samuel; Børresen-Dale, Anne-Lise; Caldas, Carlos; Califano, Andrea; Friend, Stephen H.; Ideker, Trey; Schadt, Eric E.; Stolovitzky, Gustavo A.; Margolin, Adam A.

    2013-01-01

    Breast cancer is the most common malignancy in women and is responsible for hundreds of thousands of deaths annually. As with most cancers, it is a heterogeneous disease and different breast cancer subtypes are treated differently. Understanding the difference in prognosis for breast cancer based on its molecular and phenotypic features is one avenue for improving treatment by matching the proper treatment with molecular subtypes of the disease. In this work, we employed a competition-based approach to modeling breast cancer prognosis using large datasets containing genomic and clinical information and an online real-time leaderboard program used to speed feedback to the modeling team and to encourage each modeler to work towards achieving a higher ranked submission. We find that machine learning methods combined with molecular features selected based on expert prior knowledge can improve survival predictions compared to current best-in-class methodologies and that ensemble models trained across multiple user submissions systematically outperform individual models within the ensemble. We also find that model scores are highly consistent across multiple independent evaluations. This study serves as the pilot phase of a much larger competition open to the whole research community, with the goal of understanding general strategies for model optimization using clinical and molecular profiling data and providing an objective, transparent system for assessing prognostic models. PMID:23671412

  20. Improving breast cancer survival analysis through competition-based multidimensional modeling.

    Directory of Open Access Journals (Sweden)

    Erhan Bilal

    Full Text Available Breast cancer is the most common malignancy in women and is responsible for hundreds of thousands of deaths annually. As with most cancers, it is a heterogeneous disease and different breast cancer subtypes are treated differently. Understanding the difference in prognosis for breast cancer based on its molecular and phenotypic features is one avenue for improving treatment by matching the proper treatment with molecular subtypes of the disease. In this work, we employed a competition-based approach to modeling breast cancer prognosis using large datasets containing genomic and clinical information and an online real-time leaderboard program used to speed feedback to the modeling team and to encourage each modeler to work towards achieving a higher ranked submission. We find that machine learning methods combined with molecular features selected based on expert prior knowledge can improve survival predictions compared to current best-in-class methodologies and that ensemble models trained across multiple user submissions systematically outperform individual models within the ensemble. We also find that model scores are highly consistent across multiple independent evaluations. This study serves as the pilot phase of a much larger competition open to the whole research community, with the goal of understanding general strategies for model optimization using clinical and molecular profiling data and providing an objective, transparent system for assessing prognostic models.

  1. Motocross biking for competition and for recreation: a prospective analysis of 423 injured riders.

    Science.gov (United States)

    Singh, Rohit; Theobald, Peter; Hamad, A K; Hay, Stuart

    2015-01-01

    Motocross is a form of motorcycle racing held on established off-road circuits and has been a recreational and competitive sport across the world for over 100 years. In the UK alone, motocross has grown into a phenomenally ambitious and popular franchise. There are over 200 motocross clubs across the country, permitting over 900 events annually. Data were collected prospectively over 4 years (from 2010 to 2014) at our unit. All injuries caused by motocross biking that were referred to our trauma and orthopaedic department were included in this study, regardless of whether the rider was performing the sport competitively or recreationally. During the period studied (4 years), 423 patients were included with a total of 485 injuries, ranging from 1 to 6 injuries per patient. The patient's age range was from 4 to 73 years, with most of the injuries being sustained within the early spring and summer months representing the start of the motocross season. We present the first epidemiological study of motocross injuries in the UK. Within the growing culture of 'adrenaline sports', motocross has become an exhilarating and extremely fashionable pastime. This study has identified and categorised the spectrum of injuries from upper limb fracture dislocations to life-threatening head and chest injuries, some of which are serious and may cause significant morbidity and possible mortality. These injuries could have significant resource implications, especially for smaller rural hospitals.

  2. Analysis of a simulated sprint competition in classical cross country skiing.

    Science.gov (United States)

    Stöggl, T; Lindinger, S; Müller, E

    2007-08-01

    The objectives of this project were first to analyze the physiological response of a classical cross country (XC) skiing sprint competition, second, to examine the relationships of kinematic and physiological variables with sprint performance and third, to test the hypothesis that maximal speed in double poling (DP) and diagonal stride (DIAG) predicts sprint performance. Twelve elite skiers performed a treadmill-based simulation of a sprint competition that included two maximal speed tests (DP, DIAG), a test and three sprint heats over a 3.5-h period. VO(2), lactate, heart rate (HR) and kinematic variables were measured. Maximal DP and DIAG speed, the level of repeatedly produced lactate values and skiing technical aspects positively correlated with sprint performance. Fastest skiers produced longer cycle lengths in all techniques at equal poling frequency. VO(2) variables showed no correlation to sprint performance. VO(2), tidal volume (VT), and lactate decreased over the heats. XC-sprint performance in classical style depends on speed abilities, technique use, fatigue resistance, and anaerobic capacity. The relationship of maximal speed with sprint performance suggests (a) integrating maximal speed tests in XC sprint diagnostics and (b) emphasizing training models for XC skiing-specific speed abilities to improve performance in XC skiing sprint.

  3. Dynamic chest image analysis: model-based pulmonary perfusion analysis with pyramid images

    Science.gov (United States)

    Liang, Jianming; Haapanen, Arto; Jaervi, Timo; Kiuru, Aaro J.; Kormano, Martti; Svedstrom, Erkki; Virkki, Raimo

    1998-07-01

    The aim of the study 'Dynamic Chest Image Analysis' is to develop computer analysis and visualization methods for showing focal and general abnormalities of lung ventilation and perfusion based on a sequence of digital chest fluoroscopy frames collected at different phases of the respiratory/cardiac cycles in a short period of time. We have proposed a framework for ventilation study with an explicit ventilation model based on pyramid images. In this paper, we extend the framework to pulmonary perfusion study. A perfusion model and the truncated pyramid are introduced. The perfusion model aims at extracting accurate, geographic perfusion parameters, and the truncated pyramid helps in understanding perfusion at multiple resolutions and speeding up the convergence process in optimization. Three cases are included to illustrate the experimental results.

  4. Ripening of salami: assessment of colour and aspect evolution using image analysis and multivariate image analysis.

    Science.gov (United States)

    Fongaro, Lorenzo; Alamprese, Cristina; Casiraghi, Ernestina

    2015-03-01

    During ripening of salami, colour changes occur due to oxidation phenomena involving myoglobin. Moreover, shrinkage due to dehydration results in aspect modifications, mainly ascribable to fat aggregation. The aim of this work was the application of image analysis (IA) and multivariate image analysis (MIA) techniques to the study of colour and aspect changes occurring in salami during ripening. IA results showed that red, green, blue, and intensity parameters decreased due to the development of a global darker colour, while Heterogeneity increased due to fat aggregation. By applying MIA, different salami slice areas corresponding to fat and three different degrees of oxidised meat were identified and quantified. It was thus possible to study the trend of these different areas as a function of ripening, making objective an evaluation usually performed by subjective visual inspection. Copyright © 2014 Elsevier Ltd. All rights reserved.

  5. Three modality image registration of brain SPECT/CT and MR images for quantitative analysis of dopamine transporter imaging

    Science.gov (United States)

    Yamaguchi, Yuzuho; Takeda, Yuta; Hara, Takeshi; Zhou, Xiangrong; Matsusako, Masaki; Tanaka, Yuki; Hosoya, Kazuhiko; Nihei, Tsutomu; Katafuchi, Tetsuro; Fujita, Hiroshi

    2016-03-01

    Important features in Parkinson's disease (PD) are degenerations and losses of dopamine neurons in corpus striatum. 123I-FP-CIT can visualize activities of the dopamine neurons. The activity radio of background to corpus striatum is used for diagnosis of PD and Dementia with Lewy Bodies (DLB). The specific activity can be observed in the corpus striatum on SPECT images, but the location and the shape of the corpus striatum on SPECT images only are often lost because of the low uptake. In contrast, MR images can visualize the locations of the corpus striatum. The purpose of this study was to realize a quantitative image analysis for the SPECT images by using image registration technique with brain MR images that can determine the region of corpus striatum. In this study, the image fusion technique was used to fuse SPECT and MR images by intervening CT image taken by SPECT/CT. The mutual information (MI) for image registration between CT and MR images was used for the registration. Six SPECT/CT and four MR scans of phantom materials are taken by changing the direction. As the results of the image registrations, 16 of 24 combinations were registered within 1.3mm. By applying the approach to 32 clinical SPECT/CT and MR cases, all of the cases were registered within 0.86mm. In conclusions, our registration method has a potential in superimposing MR images on SPECT images.

  6. Machine learning approaches in medical image analysis

    DEFF Research Database (Denmark)

    de Bruijne, Marleen

    2016-01-01

    Machine learning approaches are increasingly successful in image-based diagnosis, disease prognosis, and risk assessment. This paper highlights new research directions and discusses three main challenges related to machine learning in medical imaging: coping with variation in imaging protocols......, learning from weak labels, and interpretation and evaluation of results....

  7. Principal component analysis of psoriasis lesions images

    DEFF Research Database (Denmark)

    Maletti, Gabriela Mariel; Ersbøll, Bjarne Kjær

    2003-01-01

    A set of RGB images of psoriasis lesions is used. By visual examination of these images, there seem to be no common pattern that could be used to find and align the lesions within and between sessions. It is expected that the principal components of the original images could be useful during future...

  8. Medical Image Analysis by Cognitive Information Systems - a Review.

    Science.gov (United States)

    Ogiela, Lidia; Takizawa, Makoto

    2016-10-01

    This publication presents a review of medical image analysis systems. The paradigms of cognitive information systems will be presented by examples of medical image analysis systems. The semantic processes present as it is applied to different types of medical images. Cognitive information systems were defined on the basis of methods for the semantic analysis and interpretation of information - medical images - applied to cognitive meaning of medical images contained in analyzed data sets. Semantic analysis was proposed to analyzed the meaning of data. Meaning is included in information, for example in medical images. Medical image analysis will be presented and discussed as they are applied to various types of medical images, presented selected human organs, with different pathologies. Those images were analyzed using different classes of cognitive information systems. Cognitive information systems dedicated to medical image analysis was also defined for the decision supporting tasks. This process is very important for example in diagnostic and therapy processes, in the selection of semantic aspects/features, from analyzed data sets. Those features allow to create a new way of analysis.

  9. Image Retrieval: Theoretical Analysis and Empirical User Studies on Accessing Information in Images.

    Science.gov (United States)

    Ornager, Susanne

    1997-01-01

    Discusses indexing and retrieval for effective searches of digitized images. Reports on an empirical study about criteria for analysis and indexing digitized images, and the different types of user queries done in newspaper image archives in Denmark. Concludes that it is necessary that the indexing represent both a factual and an expressional…

  10. Automatic quantitative analysis of cardiac MR perfusion images

    NARCIS (Netherlands)

    Breeuwer, Marcel; Spreeuwers, Luuk; Quist, Marcel

    2001-01-01

    Magnetic Resonance Imaging (MRI) is a powerful technique for imaging cardiovascular diseases. The introduction of cardiovascular MRI into clinical practice is however hampered by the lack of efficient and accurate image analysis methods. This paper focuses on the evaluation of blood perfusion in the

  11. Subsurface offset behaviour in velocity analysis with extended reflectivity images

    NARCIS (Netherlands)

    Mulder, W.A.

    2013-01-01

    Migration velocity analysis with the constant-density acoustic wave equation can be accomplished by the focusing of extended migration images, obtained by introducing a subsurface shift in the imaging condition. A reflector in a wrong velocity model will show up as a curve in the extended image. In

  12. Intrasubject registration for change analysis in medical imaging

    NARCIS (Netherlands)

    Staring, M.

    2008-01-01

    Image matching is important for the comparison of medical images. Comparison is of clinical relevance for the analysis of differences due to changes in the health of a patient. For example, when a disease is imaged at two time points, then one wants to know if it is stable, has regressed, or

  13. Mesh Processing in Medical-Image Analysis-a Tutorial

    DEFF Research Database (Denmark)

    Levine, Joshua A.; Paulsen, Rasmus Reinhold; Zhang, Yongjie

    2012-01-01

    Medical-image analysis requires an understanding of sophisticated scanning modalities, constructing geometric models, building meshes to represent domains, and downstream biological applications. These four steps form an image-to-mesh pipeline. For research in this field to progress, the imaging...

  14. Image analysis for dental bone quality assessment using CBCT imaging

    Science.gov (United States)

    Suprijanto; Epsilawati, L.; Hajarini, M. S.; Juliastuti, E.; Susanti, H.

    2016-03-01

    Cone beam computerized tomography (CBCT) is one of X-ray imaging modalities that are applied in dentistry. Its modality can visualize the oral region in 3D and in a high resolution. CBCT jaw image has potential information for the assessment of bone quality that often used for pre-operative implant planning. We propose comparison method based on normalized histogram (NH) on the region of inter-dental septum and premolar teeth. Furthermore, the NH characteristic from normal and abnormal bone condition are compared and analyzed. Four test parameters are proposed, i.e. the difference between teeth and bone average intensity (s), the ratio between bone and teeth average intensity (n) of NH, the difference between teeth and bone peak value (Δp) of NH, and the ratio between teeth and bone of NH range (r). The results showed that n, s, and Δp have potential to be the classification parameters of dental calcium density.

  15. On how German retail buyers perceive the identity, image and competitive context of the retailers they work for

    DEFF Research Database (Denmark)

    Esbjerg, Lars

    have been treated as if they were more or less discrete events in previous studies, little is known about the process leading up to a decision being made. Furthermore, scant attention has been paid to the contexts within which retailer buying behaviour occurs. This paper presents some preliminary...... an understanding of how and why retail buyers make certain decisions rather than simply focusing on what they decide. This paper focuses on the beliefs retail buyers have regarding organisational identities and competitive contexts and in particular discusses whether the beliefs regarding organisational identities......How do retailers decide what products to buy? Previous answers to this question have tended to focus on the decisions being made, typically investigating what criteria retail buyers use to choose between products and suppliers (Hansen & Skytte 1998). However, as the decisions made by retail buyers...

  16. A competitive study of two tourism destinations through the application of conjoint analysis techniques: the case of the Canary Islands

    Directory of Open Access Journals (Sweden)

    Parra López, Eduardo

    2004-01-01

    Full Text Available The aspiration to know and to correspond to consumer expectations, supposes a continuous challenge that companies must confront and has become a central issue in an extant literature. There is ample agreement about the importance of consumer orientation for the competitiveness of companies. Businesses are faced with the need to satisfy customers today and to develop new products for the future. These requirements are accentuated in the tour-ist sector because they have a particular dependence on "tourist preferences". The aim of this paper is to contribute to this debate with the results of an analysis that seeks to deepen the knowledge of competitive advantages in the hotel sector of two tourism destinations by studying the utility that the different products offered provides to de-mand. By means of the application of the statistical techniques of conjoint analysis and simulation, we have obtained a model to apply to entrepreneurial decision-making that enables us to recognise the product that, among those supplied, most value provides to the demand of each tourism destination, as well as the observation of significant differences between those destinations

  17. 运营商4G市场竞争分析与预测%Analysis and Forecast of 4G Market Competition

    Institute of Scientific and Technical Information of China (English)

    李雯; 罗欧; 贺璐婷

    2015-01-01

    本文详细分析了2014年三大基础运营商4G市场的竞争情况,并结合优劣势对比简单预测了今年的竞争情况。%This paper makes a detailed analysis of the 4G market competition of three telecom operators in 2014, and predicts this year’s competition brielfy combined with advantages and disadvantages.

  18. Integration of Hydropower in a Competitive power market model for water-energy scenario analysis

    DEFF Research Database (Denmark)

    Pereira Cardenal, Silvio Javier; Carrion-Sanchez, Laura; Arnbjerg-Nielsen, Karsten

    2011-01-01

    Hydrological systems and power systems are strongly linked: water is needed for most electricity generation technologies, and electricity is required for all stages of water usage. Growing water and energy demands, and potential climate changes suggest this relationship will become more important....... The hydropower bidding strategy showed reasonable performance when tested in a simplified model of a competitive power market.......Hydrological systems and power systems are strongly linked: water is needed for most electricity generation technologies, and electricity is required for all stages of water usage. Growing water and energy demands, and potential climate changes suggest this relationship will become more important...... for the management of both water and energy resources, and should be assessed. We propose a coupled water-energy modeling approach in which a hydrological model imposes the water constraints on the power system model; hydropower generation is bid to the power market based on the hydrological state of the system...

  19. CMOS Image Sensor with On-Chip Image Compression: A Review and Performance Analysis

    Directory of Open Access Journals (Sweden)

    Milin Zhang

    2010-01-01

    Full Text Available Demand for high-resolution, low-power sensing devices with integrated image processing capabilities, especially compression capability, is increasing. CMOS technology enables the integration of image sensing and image processing, making it possible to improve the overall system performance. This paper reviews the current state of the art in CMOS image sensors featuring on-chip image compression. Firstly, typical sensing systems consisting of separate image-capturing unit and image-compression processing unit are reviewed, followed by systems that integrate focal-plane compression. The paper also provides a thorough review of a new design paradigm, in which image compression is performed during the image-capture phase prior to storage, referred to as compressive acquisition. High-performance sensor systems reported in recent years are also introduced. Performance analysis and comparison of the reported designs using different design paradigm are presented at the end.

  20. Technique of Hadamard transform microscope fluorescence image analysis

    Institute of Scientific and Technical Information of China (English)

    梅二文; 顾文芳; 曾晓斌; 陈观铨; 曾云鹗

    1995-01-01

    Hadamard transform spatial multiplexed imaging technique is combined with fluorescence microscope and an instrument of Hadamard transform microscope fluorescence image analysis is developed. Images acquired by this instrument can provide a lot of useful information simultaneously, including three-dimensional Hadamard transform microscope cell fluorescence image, the fluorescence intensity and fluorescence distribution of a cell, the background signal intensity and the signal/noise ratio, etc.

  1. World competitiveness and agriculture

    Directory of Open Access Journals (Sweden)

    J. van Zyl

    1997-07-01

    Full Text Available Against the background of a changing environment in which market factors and greater world trade and competitiveness are increasingly becoming the only criteria for success, a framework for the analysis of world competitiveness is initially developed. This is followed by a discussion on the growth of productivity in agriculture, as well as an exposition of the role of agricultural research. Thirdly, price factors and the terms of trade are discussed, followed by a summary of policy implications.

  2. New approaches in intelligent image analysis techniques, methodologies and applications

    CERN Document Server

    Nakamatsu, Kazumi

    2016-01-01

    This book presents an Introduction and 11 independent chapters, which are devoted to various new approaches of intelligent image processing and analysis. The book also presents new methods, algorithms and applied systems for intelligent image processing, on the following basic topics: Methods for Hierarchical Image Decomposition; Intelligent Digital Signal Processing and Feature Extraction; Data Clustering and Visualization via Echo State Networks; Clustering of Natural Images in Automatic Image Annotation Systems; Control System for Remote Sensing Image Processing; Tissue Segmentation of MR Brain Images Sequence; Kidney Cysts Segmentation in CT Images; Audio Visual Attention Models in Mobile Robots Navigation; Local Adaptive Image Processing; Learning Techniques for Intelligent Access Control; Resolution Improvement in Acoustic Maps. Each chapter is self-contained with its own references. Some of the chapters are devoted to the theoretical aspects while the others are presenting the practical aspects and the...

  3. Analysis of engineering drawings and raster map images

    CERN Document Server

    Henderson, Thomas C

    2013-01-01

    Presents up-to-date methods and algorithms for the automated analysis of engineering drawings and digital cartographic maps Discusses automatic engineering drawing and map analysis techniques Covers detailed accounts of the use of unsupervised segmentation algorithms to map images

  4. IMAGE ANALYSIS FOR MODELLING SHEAR BEHAVIOUR

    Directory of Open Access Journals (Sweden)

    Philippe Lopez

    2011-05-01

    Full Text Available Through laboratory research performed over the past ten years, many of the critical links between fracture characteristics and hydromechanical and mechanical behaviour have been made for individual fractures. One of the remaining challenges at the laboratory scale is to directly link fracture morphology of shear behaviour with changes in stress and shear direction. A series of laboratory experiments were performed on cement mortar replicas of a granite sample with a natural fracture perpendicular to the axis of the core. Results show that there is a strong relationship between the fracture's geometry and its mechanical behaviour under shear stress and the resulting damage. Image analysis, geostatistical, stereological and directional data techniques are applied in combination to experimental data. The results highlight the role of geometric characteristics of the fracture surfaces (surface roughness, size, shape, locations and orientations of asperities to be damaged in shear behaviour. A notable improvement in shear understanding is that shear behaviour is controlled by the apparent dip in the shear direction of elementary facets forming the fracture.

  5. Slide Set: Reproducible image analysis and batch processing with ImageJ.

    Science.gov (United States)

    Nanes, Benjamin A

    2015-11-01

    Most imaging studies in the biological sciences rely on analyses that are relatively simple. However, manual repetition of analysis tasks across multiple regions in many images can complicate even the simplest analysis, making record keeping difficult, increasing the potential for error, and limiting reproducibility. While fully automated solutions are necessary for very large data sets, they are sometimes impractical for the small- and medium-sized data sets common in biology. Here we present the Slide Set plugin for ImageJ, which provides a framework for reproducible image analysis and batch processing. Slide Set organizes data into tables, associating image files with regions of interest and other relevant information. Analysis commands are automatically repeated over each image in the data set, and multiple commands can be chained together for more complex analysis tasks. All analysis parameters are saved, ensuring transparency and reproducibility. Slide Set includes a variety of built-in analysis commands and can be easily extended to automate other ImageJ plugins, reducing the manual repetition of image analysis without the set-up effort or programming expertise required for a fully automated solution.

  6. Hierarchical manifold learning for regional image analysis.

    Science.gov (United States)

    Bhatia, Kanwal K; Rao, Anil; Price, Anthony N; Wolz, Robin; Hajnal, Joseph V; Rueckert, Daniel

    2014-02-01

    We present a novel method of hierarchical manifold learning which aims to automatically discover regional properties of image datasets. While traditional manifold learning methods have become widely used for dimensionality reduction in medical imaging, they suffer from only being able to consider whole images as single data points. We extend conventional techniques by additionally examining local variations, in order to produce spatially-varying manifold embeddings that characterize a given dataset. This involves constructing manifolds in a hierarchy of image patches of increasing granularity, while ensuring consistency between hierarchy levels. We demonstrate the utility of our method in two very different settings: 1) to learn the regional correlations in motion within a sequence of time-resolved MR images of the thoracic cavity; 2) to find discriminative regions of 3-D brain MR images associated with neurodegenerative disease.

  7. Taxonomy of Manufacturing Flexibility at Manufacturing Companies Using Imperialist Competitive Algorithms, Support Vector Machines and Hierarchical Cluster Analysis

    Directory of Open Access Journals (Sweden)

    M. Khoobiyan

    2017-04-01

    Full Text Available Manufacturing flexibility is a multidimensional concept and manufacturing companies act differently in using these dimensions. The purpose of this study is to investigate taxonomy and identify dominant groups of manufacturing flexibility. Dimensions of manufacturing flexibility are extracted by content analysis of literature and expert judgements. Manufacturing flexibility was measured by using a questionnaire developed to survey managers of manufacturing companies. The sample size was set at 379. To identify dominant groups of flexibility based on dimensions of flexibility determined, Hierarchical Cluster Analysis (HCA, Imperialist Competitive Algorithms (ICAs and Support Vector Machines (SVMs were used by cluster validity indices. The best algorithm for clustering was SVMs with three clusters, designated as leading delivery-based flexibility, frugal flexibility and sufficient plan-based flexibility.

  8. Some developments in multivariate image analysis

    DEFF Research Database (Denmark)

    Kucheryavskiy, Sergey

    and classification. MIA considers all image pixels as objects and their color values (or spectrum in the case of hyperspectral images) as variables. So it gives data matrices with hundreds of thousands samples in the case of laboratory scale images and even more for aerial photos, where the number of pixels could...... subspace have been considered in respect to MIA purposes. First of all, Robust PCA has been applied to several images with and without outliers. Being proposed as a method to deal with high-dimensional data, it suits the needs of MIA very well. Also several non-linear methods have been tried, including...

  9. Geographic Object-Based Image Analysis: Towards a new paradigm

    NARCIS (Netherlands)

    Blaschke, T.; Hay, G.J.; Kelly, M.; Lang, S.; Hofmann, P.; Addink, E.A.; Queiroz Feitosa, R.; van der Meer, F.D.; van der Werff, H.M.A.; van Coillie, F.; Tiede, A.

    2014-01-01

    The amount of scientific literature on (Geographic) Object-based Image Analysis – GEOBIA has been and still is sharply increasing. These approaches to analysing imagery have antecedents in earlier research on image segmentation and use GIS-like spatial analysis within classification and feature extr

  10. Facial Image Analysis Based on Local Binary Patterns: A Survey

    NARCIS (Netherlands)

    Huang, D.; Shan, C.; Ardebilian, M.; Chen, L.

    2011-01-01

    Facial image analysis, including face detection, face recognition,facial expression analysis, facial demographic classification, and so on, is an important and interesting research topic in the computervision and image processing area, which has many important applications such as human-computer

  11. Facial Image Analysis Based on Local Binary Patterns: A Survey

    NARCIS (Netherlands)

    Huang, D.; Shan, C.; Ardebilian, M.; Chen, L.

    2011-01-01

    Facial image analysis, including face detection, face recognition,facial expression analysis, facial demographic classification, and so on, is an important and interesting research topic in the computervision and image processing area, which has many important applications such as human-computer

  12. Multi-spectral Image Analysis for Astaxanthin Coating Classification

    DEFF Research Database (Denmark)

    Ljungqvist, Martin Georg; Ersbøll, Bjarne Kjær; Nielsen, Michael Engelbrecht

    2011-01-01

    Industrial quality inspection using image analysis on astaxanthin coating in aquaculture feed pellets is of great importance for automatic production control. In this study multi-spectral image analysis of pellets was performed using LDA, QDA, SNV and PCA on pixel level and mean value of pixels...

  13. The Role of Culture, Competitiveness and Economic Performance in Explaining Academic Performance: A Global Market Analysis for International Student Segmentation

    Science.gov (United States)

    Baumann, Chris; Hamin

    2011-01-01

    A nation's culture, competitiveness and economic performance explain academic performance. Partial Least Squares (PLS) testing of 2252 students shows culture affects competitiveness and academic performance. Culture and economic performance each explain 32%; competitiveness 36%. The model predicts academic performance when culture, competitiveness…

  14. The Role of Culture, Competitiveness and Economic Performance in Explaining Academic Performance: A Global Market Analysis for International Student Segmentation

    Science.gov (United States)

    Baumann, Chris; Hamin

    2011-01-01

    A nation's culture, competitiveness and economic performance explain academic performance. Partial Least Squares (PLS) testing of 2252 students shows culture affects competitiveness and academic performance. Culture and economic performance each explain 32%; competitiveness 36%. The model predicts academic performance when culture, competitiveness…

  15. Digital image processing and analysis for activated sludge wastewater treatment.

    Science.gov (United States)

    Khan, Muhammad Burhan; Lee, Xue Yong; Nisar, Humaira; Ng, Choon Aun; Yeap, Kim Ho; Malik, Aamir Saeed

    2015-01-01

    Activated sludge system is generally used in wastewater treatment plants for processing domestic influent. Conventionally the activated sludge wastewater treatment is monitored by measuring physico-chemical parameters like total suspended solids (TSSol), sludge volume index (SVI) and chemical oxygen demand (COD) etc. For the measurement, tests are conducted in the laboratory, which take many hours to give the final measurement. Digital image processing and analysis offers a better alternative not only to monitor and characterize the current state of activated sludge but also to predict the future state. The characterization by image processing and analysis is done by correlating the time evolution of parameters extracted by image analysis of floc and filaments with the physico-chemical parameters. This chapter briefly reviews the activated sludge wastewater treatment; and, procedures of image acquisition, preprocessing, segmentation and analysis in the specific context of activated sludge wastewater treatment. In the latter part additional procedures like z-stacking, image stitching are introduced for wastewater image preprocessing, which are not previously used in the context of activated sludge. Different preprocessing and segmentation techniques are proposed, along with the survey of imaging procedures reported in the literature. Finally the image analysis based morphological parameters and correlation of the parameters with regard to monitoring and prediction of activated sludge are discussed. Hence it is observed that image analysis can play a very useful role in the monitoring of activated sludge wastewater treatment plants.

  16. Analysis of the Impact of Transparency, Corruption, Openness in Competition and Tender Procedures on Public Procurement in the Czech Republic

    Directory of Open Access Journals (Sweden)

    František Ochrana

    2014-01-01

    Full Text Available This study analyses the impact of transparency and openness to competition in public procurement in the Czech Republic. The problems of the Czech procurement market have been demonstrated on the analysis of a sample of contracts awarded by local government entities. From among a set of factors influencing the efficiency of public procurement, we closely analyse transparency, resilience against corruption, openness, effective administrative award procedure, and formulation of appropriate evaluation criteria for selecting the most suitable bid. Some assumptions were confirmed, including a positive effect of open procedures on the level of competition on the supply side as well as the dominant use of price criteria only. The latter case is probably often caused by low skills of workers at the contracting entities, as well as the lack of resources in public budgets. However, we have to reject the persistent legend of “undershooting” tender prices and subsequently increasing the final prices of public contracts. Increases of final prices are very limited. Based on the results of the analyses presented, we argue that the main problem of the Czech public procurement market lies in a rather low competence of administrators who are not able to use non-price criteria more often.

  17. Fluorescence analysis of competition of phenylbutazone and methotrexate in binding to serum albumin in combination treatment in rheumatology

    Science.gov (United States)

    Maciążek-Jurczyk, M.; Sułkowska, A.; Bojko, B.; Równicka, J.; Sułkowski, W. W.

    2009-04-01

    Combination of several drugs is often necessary especially during long-them therapy. The competition between drugs can cause a decrease of the amount of a drug bound to albumin. This results in an increase of the free, biological active fraction of the drug. The aim of the presented study was to describe the competition between phenylbutazone (Phe) and methotrexate (MTX), two drugs recommended for the treatment of rheumatology in binding to bovine (BSA) and human (HSA) serum albumin in the high affinity binding site. Fluorescence analysis was used to estimate the effect of drugs on the protein fluorescence and to define the binding and quenching properties of drugs-serum albumin complexes. The effect of the displacement of one drug from the complex of the other with serum albumin has been described on the basis of the comparison of the quenching curves and binding constants for the binary and ternary systems. The conclusion that both Phe and MTX form a binding site in the same subdomain (IIA) points to the necessity of using a monitoring therapy owning to the possible increase of the uncontrolled toxic effects.

  18. Multimodal digital color imaging system for facial skin lesion analysis

    Science.gov (United States)

    Bae, Youngwoo; Lee, Youn-Heum; Jung, Byungjo

    2008-02-01

    In dermatology, various digital imaging modalities have been used as an important tool to quantitatively evaluate the treatment effect of skin lesions. Cross-polarization color image was used to evaluate skin chromophores (melanin and hemoglobin) information and parallel-polarization image to evaluate skin texture information. In addition, UV-A induced fluorescent image has been widely used to evaluate various skin conditions such as sebum, keratosis, sun damages, and vitiligo. In order to maximize the evaluation efficacy of various skin lesions, it is necessary to integrate various imaging modalities into an imaging system. In this study, we propose a multimodal digital color imaging system, which provides four different digital color images of standard color image, parallel and cross-polarization color image, and UV-A induced fluorescent color image. Herein, we describe the imaging system and present the examples of image analysis. By analyzing the color information and morphological features of facial skin lesions, we are able to comparably and simultaneously evaluate various skin lesions. In conclusion, we are sure that the multimodal color imaging system can be utilized as an important assistant tool in dermatology.

  19. Discriminative Nonlinear Analysis Operator Learning: When Cosparse Model Meets Image Classification

    Science.gov (United States)

    Wen, Zaidao; Hou, Biao; Jiao, Licheng

    2017-07-01

    Linear synthesis model based dictionary learning framework has achieved remarkable performances in image classification in the last decade. Behaved as a generative feature model, it however suffers from some intrinsic deficiencies. In this paper, we propose a novel parametric nonlinear analysis cosparse model (NACM) with which a unique feature vector will be much more efficiently extracted. Additionally, we derive a deep insight to demonstrate that NACM is capable of simultaneously learning the task adapted feature transformation and regularization to encode our preferences, domain prior knowledge and task oriented supervised information into the features. The proposed NACM is devoted to the classification task as a discriminative feature model and yield a novel discriminative nonlinear analysis operator learning framework (DNAOL). The theoretical analysis and experimental performances clearly demonstrate that DNAOL will not only achieve the better or at least competitive classification accuracies than the state-of-the-art algorithms but it can also dramatically reduce the time complexities in both training and testing phases.

  20. Analytic estimation of statistical significance maps for support vector machine based multi-variate image analysis and classification.

    Science.gov (United States)

    Gaonkar, Bilwaj; Davatzikos, Christos

    2013-09-01

    Multivariate pattern analysis (MVPA) methods such as support vector machines (SVMs) have been increasingly applied to fMRI and sMRI analyses, enabling the detection of distinctive imaging patterns. However, identifying brain regions that significantly contribute to the classification/group separation requires computationally expensive permutation testing. In this paper we show that the results of SVM-permutation testing can be analytically approximated. This approximation leads to more than a thousandfold speedup of the permutation testing procedure, thereby rendering it feasible to perform such tests on standard computers. The speedup achieved makes SVM based group difference analysis competitive with standard univariate group difference analysis methods.

  1. Analysis of Images from Experiments Investigating Fragmentation of Materials

    Energy Technology Data Exchange (ETDEWEB)

    Kamath, C; Hurricane, O

    2007-09-10

    Image processing techniques have been used extensively to identify objects of interest in image data and extract representative characteristics for these objects. However, this can be a challenge due to the presence of noise in the images and the variation across images in a dataset. When the number of images to be analyzed is large, the algorithms used must also be relatively insensitive to the choice of parameters and lend themselves to partial or full automation. This not only avoids manual analysis which can be time consuming and error-prone, but also makes the analysis reproducible, thus enabling comparisons between images which have been processed in an identical manner. In this paper, we describe our approach to extracting features for objects of interest in experimental images. Focusing on the specific problem of fragmentation of materials, we show how we can extract statistics for the fragments and the gaps between them.

  2. PIZZARO: Forensic analysis and restoration of image and video data.

    Science.gov (United States)

    Kamenicky, Jan; Bartos, Michal; Flusser, Jan; Mahdian, Babak; Kotera, Jan; Novozamsky, Adam; Saic, Stanislav; Sroubek, Filip; Sorel, Michal; Zita, Ales; Zitova, Barbara; Sima, Zdenek; Svarc, Petr; Horinek, Jan

    2016-07-01

    This paper introduces a set of methods for image and video forensic analysis. They were designed to help to assess image and video credibility and origin and to restore and increase image quality by diminishing unwanted blur, noise, and other possible artifacts. The motivation came from the best practices used in the criminal investigation utilizing images and/or videos. The determination of the image source, the verification of the image content, and image restoration were identified as the most important issues of which automation can facilitate criminalists work. Novel theoretical results complemented with existing approaches (LCD re-capture detection and denoising) were implemented in the PIZZARO software tool, which consists of the image processing functionality as well as of reporting and archiving functions to ensure the repeatability of image analysis procedures and thus fulfills formal aspects of the image/video analysis work. Comparison of new proposed methods with the state of the art approaches is shown. Real use cases are presented, which illustrate the functionality of the developed methods and demonstrate their applicability in different situations. The use cases as well as the method design were solved in tight cooperation of scientists from the Institute of Criminalistics, National Drug Headquarters of the Criminal Police and Investigation Service of the Police of the Czech Republic, and image processing experts from the Czech Academy of Sciences.

  3. An application of image processing techniques in computed tomography image analysis

    DEFF Research Database (Denmark)

    McEvoy, Fintan

    2007-01-01

    An estimate of the thickness of subcutaneous adipose tissue at differing positions around the body was required in a study examining body composition. To eliminate human error associated with the manual placement of markers for measurements and to facilitate the collection of data from a large...... number of animals and image slices, automation of the process was desirable. The open-source and free image analysis program ImageJ was used. A macro procedure was created that provided the required functionality. The macro performs a number of basic image processing procedures. These include an initial...... process designed to remove the scanning table from the image and to center the animal in the image. This is followed by placement of a vertical line segment from the mid point of the upper border of the image to the image center. Measurements are made between automatically detected outer and inner...

  4. 基于物种竞争模型的快递跟进者竞争策略分析%The Competitive Tactics Analysis of the Express Followers Based on the Species Competition Model

    Institute of Scientific and Technical Information of China (English)

    黄裕章

    2012-01-01

    The market competition is intense day by day, the express followers should know how to choose competitive tactics? About this problem, based on the analysis of the strengths and weaknesses of the express followers, the article builds the models of competition tactics, which often be used in species' interactions. In the view of the competition and competitors, the key important factor which influences the tactics selection of the followers is the ability of obtaining resource, The express followers should use decision of no value or value decision of extending if he is full of strong competitive, on the contrary, it should use the value decision of "fill in the blank" and keep a kind of harmonic relationship with the competitors.%针对快递跟进者面对竞争日趋激烈的物流快递市场应如何选择竞争策略这个问题,在对快递跟进者优劣势进行分析的基础上,建立了基于物种竞争模型的快递跟进者竞争策略选择模型。通过分析、论证表明。影响策略选择的重要因素是快递跟进者的资源获取能力,快递跟进者在具有强竞争力的条件下适合无价值争夺策略和价值延伸策略;相反,则应采用价值创造“填补空白”策略并与先行者形成相互依存、共栖共生的关系。

  5. THE ROLE OF CORPORATE ENTREPRENEURSHIP IN COMPETITIVENESS. DATA ANALYSIS OF QUANTITATIVE. PART 1

    Directory of Open Access Journals (Sweden)

    Aneta Oniszczuk-Jastrząbek

    2016-03-01

    Full Text Available The functioning of the enterprise in a constantly changing environment means that companies should make the necessary transformation, meet challenges, and thus anticipate and shape the reality. Each company should be the instigator of continuous change, particularly innovative projects which success depends largely on the mobilization of all employees for creative thinking, action and learning. Today, a company is considered as innovative and competitive, when it possesses the ability to use resources in order to understand the market and results of scientific research, new concepts, ideas and inventions which are expected by consumers due to the high level of modernity. A level and intensity of a entrepreneurial behavior can differ, and they depend on the entrepreneurship potential. The entrepreneurship intensity varies with such conditions as a legal, financial or institutional environment. One should state that a work environment, i.e. resources owned by an enterprise and principles of an enterprising man and his motivation to entrepreneurial activities, determine the entrepreneurship. Accordingly, entrepreneurship development factors can be divided into internal ones, basing on internal resources of an enterprise, such as human resources, substantial elements of a property, an enterprise’s own R&D facility, knowledge and information technologies, and external ones, created by environment resources at the enterprise’s disposal. External factors of the entrepreneurship development stand for a set of environment conditions impacting an enterprise’s potential.

  6. Tracking competition and cognitive control during language comprehension with multi-voxel pattern analysis

    Science.gov (United States)

    Musz, Elizabeth; Thompson-Schill, Sharon L.

    2017-01-01

    To successfully comprehend a sentence that contains a homonym, readers must select the ambiguous word’s context-appropriate meaning. The outcome of this process is influenced both by top-down contextual support and bottom-up, word-specific characteristics. We examined how these factors jointly affect the neural signatures of lexical ambiguity resolution. We measured the similarity between multi-voxel patterns evoked by the same homonym in two distinct linguistic contexts: once after subjects read sentences that biased interpretation toward each homonym’s most frequent, dominant meaning, and again after interpretation was biased toward a weaker, subordinate meaning. We predicted that, following a subordinate-biasing context, the dominant yet inappropriate meaning would nevertheless compete for activation, manifesting in increased similarity between the neural patterns evoked by the two word meanings. In left anterior temporal lobe (ATL), degree of within-word pattern similarity was positively predicted by the association strength of each homonym’s dominant meaning. Further, within-word pattern similarity in left ATL was negatively predicted by item-specific responses in a region of left ventrolateral prefrontal cortex (VLPFC) sensitive to semantic conflict. These findings have implications for psycholinguistic models of lexical ambiguity resolution, and for the role of left VLPFC function during this process. Moreover, these findings demonstrate the utility of item-level, similarity-based analyses of fMRI data for our understanding of competition between co-activated word meanings during language comprehension. PMID:27898341

  7. Confirmatory factorial analysis of the Brazilian version of the Competitive State Anxiety Inventory-2 (CSAI-2).

    Science.gov (United States)

    Coelho, Eduarda Maria; Vasconcelos-Raposo, José; Mahl, Alvaro Cielo

    2010-05-01

    The aim of this study was to assess the factorial structure of the Brazilian version of CSAI-2, using several structures suggested in previous studies. Two samples consisted of Brazilian soccer players, 266 from regional level (age 22.87 +/- 4.08 years; athletic experience 11.32 +/- 4.15 years) and 263 from national level (age 23.16 +/- 4.37 years; athletic experience 11.11 +/- 4.78 years) were used. The CSAI-2 is a 27-item inventory that measures negativism, physiological activation and self-confidence in a competitive setting. The results of CFA according to the original structure showed some inadequacy of the model. The model proposed by Cox, Martens, Russell (2003), composed of three factors (17-item), demonstrated better adjustment to the regional level sample (chi2/df = 1.871, CFI = .934, GFI = .916, RMSEA = .057), while the model suggested by Coelho, Vasconcelos-Raposo, Fernandes (2007), composed of two factors (18-item), adapted better to the national level sample (chi2/df = 1.701, CFI = .924, GFI = .914, RMSEA = .052). When we analyzed the two samples together, Coelho et al. (2007) was the better model, because it displayed greater invariance. The use of this model was suggested in the assessment of intensity of negative thoughts and the subsequent confirmation of its psychometric properties is recommended.

  8. Heart rate, blood lactate concentration, and time-motion analysis of female basketball players during competition.

    Science.gov (United States)

    Matthew, Dionne; Delextrat, Anne

    2009-06-01

    The aim of this study was to examine the physiological demands and movement patterns of female basketball players after changes in the rules of the game. Nine varsity players were studied during nine official games. Each game was videotaped to identify the frequencies of the main movements performed, heart rate was recorded continuously, and blood samples were collected to determine blood lactate concentration when the competition rules allowed. The main results showed that the players performed on average 652 +/- 128 movements per game, which corresponded to a change in activity every 2.82 s. Mean heart rate was 165 +/- 9 beats . min(-1) (89.1% of maximum heart rate) for total time and 170 +/- 8 beats . min(-1) (92.5% of maximum) for live time. Mean blood lactate concentration was 5.2 +/- 2.7 mmol . l(-1) (55.9% of maximum blood lactate concentration). In addition, heart rates were significantly higher in the first half than the second half of games. These results indicate: (1) a greater physiological load compared with previous studies on female players tested before the rules modification (Beam & Merrill, 1994; McArdle et al., 1971) and (2) lower movement frequencies compared with male players competing under modern rules (Ben Abdelkrim et al., 2007). These observations must be taken into account by coaches and conditioning specialists working with female players.

  9. Why Go Public? An Empirical Analysis of IPO’s Competitive Effect on Turkish Firms

    Directory of Open Access Journals (Sweden)

    Yakup Ergincan

    2017-06-01

    Full Text Available The motivation of this study is to approach the IPO issue from a different perspective. Most of the studies in the existing literature deal with three broad issues which are operating performance, stock performance, and the reasons to go public. However, there aren’t many studies which tackle the IPO issue from a pure competitive perspective which enables limited but clear results. This study contributes to the literature, not by answering a broad and old question but by providing new and partial evidence which seem to contradict the whole at first glance. Most of the 60 BIST (Borsa Istanbul listed large industrial firms in this study have improved their relative ranks after their IPOs, when compared to their own large competitors most of which are not listed in BIST. These ranks are available in Turkey’s TOP 1.000 Industrial Enterprises annual lists and they are officially assigned by ICI (Istanbul Chamber of Industry according to firms’ sales revenue figures. Thus, they provide us with the single and clear window to observe. Keeping in mind that this window is limited, this study comes up with some non-negligible findings and then elaborates on their significance for the IPO literature, raising more questions than answers for the sake of a more solid theory.

  10. Risk of second primary cancer following prostate cancer radiotherapy: DVH analysis using the competitive risk model

    Science.gov (United States)

    Takam, R.; Bezak, E.; Yeoh, E. E.

    2009-02-01

    This study aimed to estimate the risk of developing second primary cancer (SPC) corresponding to various radiation treatment techniques for prostate cancer. Estimation of SPC was done by analysing differential dose-volume histograms (DDVH) of normal tissues such as rectum, bladder and urethra with the competitive risk model. Differential DVHs were obtained from treatment planning systems for external beam radiotherapy (EBRT), low-dose-rate (LDR) and high-dose-rate (HDR) brachytherapy techniques. The average risk of developing SPC was no greater than 0.6% for all treatment techniques but was lower with either LDR or HDR brachytherapy alone compared with any EBRT technique. For LDR and HDR brachytherapy alone, the risk of SPC for the rectum was 2.0 × 10-4% and 8.3 × 10-5% respectively compared with 0.2% for EBRT using five-field 3D-CRT to a total dose of 74 Gy. Overall, the risk of developing SPC for urethra following all radiation treatment techniques was very low compared with the rectum and bladder. Treatment plans which deliver equivalent doses of around 3-5 Gy to normal tissues were associated with higher risks of development of SPC.

  11. Risk of second primary cancer following prostate cancer radiotherapy: DVH analysis using the competitive risk model

    Energy Technology Data Exchange (ETDEWEB)

    Takam, R; Bezak, E [School of Chemistry and Physics, University of Adelaide, Adelaide (Australia); Yeoh, E E [School of Medicine, University of Adelaide, Adelaide (Australia)], E-mail: Rungdham.Takam@health.sa.gov.au

    2009-02-07

    This study aimed to estimate the risk of developing second primary cancer (SPC) corresponding to various radiation treatment techniques for prostate cancer. Estimation of SPC was done by analysing differential dose-volume histograms (DDVH) of normal tissues such as rectum, bladder and urethra with the competitive risk model. Differential DVHs were obtained from treatment planning systems for external beam radiotherapy (EBRT), low-dose-rate (LDR) and high-dose-rate (HDR) brachytherapy techniques. The average risk of developing SPC was no greater than 0.6% for all treatment techniques but was lower with either LDR or HDR brachytherapy alone compared with any EBRT technique. For LDR and HDR brachytherapy alone, the risk of SPC for the rectum was 2.0 x 10{sup -4}% and 8.3 x 10{sup -5}% respectively compared with 0.2% for EBRT using five-field 3D-CRT to a total dose of 74 Gy. Overall, the risk of developing SPC for urethra following all radiation treatment techniques was very low compared with the rectum and bladder. Treatment plans which deliver equivalent doses of around 3-5 Gy to normal tissues were associated with higher risks of development of SPC.

  12. A linear mixture analysis-based compression for hyperspectral image analysis

    Energy Technology Data Exchange (ETDEWEB)

    C. I. Chang; I. W. Ginsberg

    2000-06-30

    In this paper, the authors present a fully constrained least squares linear spectral mixture analysis-based compression technique for hyperspectral image analysis, particularly, target detection and classification. Unlike most compression techniques that directly deal with image gray levels, the proposed compression approach generates the abundance fractional images of potential targets present in an image scene and then encodes these fractional images so as to achieve data compression. Since the vital information used for image analysis is generally preserved and retained in the abundance fractional images, the loss of information may have very little impact on image analysis. In some occasions, it even improves analysis performance. Airborne visible infrared imaging spectrometer (AVIRIS) data experiments demonstrate that it can effectively detect and classify targets while achieving very high compression ratios.

  13. Competition from Isotopic Modelling

    Directory of Open Access Journals (Sweden)

    Virginie Fabre

    2011-01-01

    Full Text Available During later MOIS3, in Europe two populations were present, autochthonous Neanderthals and modern humans. Ecological competition between these two populations has often been evoked but never demonstrated. Our aim is to establish whether resource competition occurred. In this paper, in order to examine the possibility of ecological competition between these two populations, 599 isotopic data were subjected to rigorous statistical treatment and analysis through mixing models. The aim of this paper was to compare dietary strategies of Neanderthals and modern humans over time. Our conclusions suggest that Neanderthals and modern humans shared dietary habits in the particular environmental context of MOIS3 characterised in Europe by climatic deterioration. In this environmental context, the resource competition between Neanderthals and modern humans may have accelerated the disappearance of the Neanderthal population.

  14. Heterogeneous logics of competition

    DEFF Research Database (Denmark)

    Mossin, Christiane

    2015-01-01

    The purpose of the article is to demonstrate that in order to understand competition as a socially organizing phenomenon, we should not examine competition in isolation, but as constellations of heterogeneous logics. More precisely, the article is based on two main theoretical points: (1) Logics...... still experience competition as an expression of spontaneous human activities. On the basis of these perspectives, a study of fundamental rights of EU law, springing from the principle of ‘free movement of people’, is conducted. The first part of the empirical analysis seeks to detect the presence...... of a presumed logic of competition within EU law, whereas the second part focuses on particular legal logics. In this respect, the so-called ‘real link criterion’ (determining the access to transnational social rights for certain groups of unemployed people) is given special attention. What is particularly...

  15. Dynamic Chest Image Analysis: Evaluation of Model-Based Pulmonary Perfusion Analysis With Pyramid Images

    Science.gov (United States)

    2007-11-02

    Address(es) US Army Research, Development & Standardization Group (UK) PSC 802 Box 15 FPO AE 09499-1500 Sponsor/Monitor’s Acronym(s) Sponsor...6G O D 2 O P " GH I KJML E8 O D 83O P " (8) This naturally implies that as long as O D 2 O P KJ...A method for the solution of certain problems in least squares. Quart. Appl. Math ., 2:164–168, 1944. [8] J. Liang. Dynamic Chest Image Analysis. Turku

  16. Whole-slide imaging and automated image analysis: considerations and opportunities in the practice of pathology.

    Science.gov (United States)

    Webster, J D; Dunstan, R W

    2014-01-01

    Digital pathology, the practice of pathology using digitized images of pathologic specimens, has been transformed in recent years by the development of whole-slide imaging systems, which allow for the evaluation and interpretation of digital images of entire histologic sections. Applications of whole-slide imaging include rapid transmission of pathologic data for consultations and collaborations, standardization and distribution of pathologic materials for education, tissue specimen archiving, and image analysis of histologic specimens. Histologic image analysis allows for the acquisition of objective measurements of histomorphologic, histochemical, and immunohistochemical properties of tissue sections, increasing both the quantity and quality of data obtained from histologic assessments. Currently, numerous histologic image analysis software solutions are commercially available. Choosing the appropriate solution is dependent on considerations of the investigative question, computer programming and image analysis expertise, and cost. However, all studies using histologic image analysis require careful consideration of preanalytical variables, such as tissue collection, fixation, and processing, and experimental design, including sample selection, controls, reference standards, and the variables being measured. The fields of digital pathology and histologic image analysis are continuing to evolve, and their potential impact on pathology is still growing. These methodologies will increasingly transform the practice of pathology, allowing it to mature toward a quantitative science. However, this maturation requires pathologists to be at the forefront of the process, ensuring their appropriate application and the validity of their results. Therefore, histologic image analysis and the field of pathology should co-evolve, creating a symbiotic relationship that results in high-quality reproducible, objective data.

  17. IMAGE ANALYSIS BASED ON EDGE DETECTION TECHNIQUES

    Institute of Scientific and Technical Information of China (English)

    纳瑟; 刘重庆

    2002-01-01

    A method that incorporates edge detection technique, Markov Random field (MRF), watershed segmentation and merging techniques was presented for performing image segmentation and edge detection tasks. It first applies edge detection technique to obtain a Difference In Strength (DIS) map. An initial segmented result is obtained based on K-means clustering technique and the minimum distance. Then the region process is modeled by MRF to obtain an image that contains different intensity regions. The gradient values are calculated and then the watershed technique is used. DIS calculation is used for each pixel to define all the edges (weak or strong) in the image. The DIS map is obtained. This help as priority knowledge to know the possibility of the region segmentation by the next step (MRF), which gives an image that has all the edges and regions information. In MRF model,gray level l, at pixel location i, in an image X, depends on the gray levels of neighboring pixels. The segmentation results are improved by using watershed algorithm. After all pixels of the segmented regions are processed, a map of primitive region with edges is generated. The edge map is obtained using a merge process based on averaged intensity mean values. A common edge detectors that work on (MRF) segmented image are used and the results are compared. The segmentation and edge detection result is one closed boundary per actual region in the image.

  18. Electromagnetic Time Reversal Imaging: Analysis and Experimentation

    Science.gov (United States)

    2010-04-26

    Biomedical Imaging: From Nano to Macro, ISBI󈧌, Paris, Friance, May 14-17, 2008 [6] Y. Jin, J. M. F. Moura, N. O’Donoughue, "Adaptive Time Reversal...Zhu, and Q. He, “Breast cancer detection by time reversal imaging,” 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro...target (a galvanized steel sheet) is surrounded by a large amount of PVC rods. Our experiments showed that the collected EM data in frequency and

  19. Prototype for Meta-Algorithmic, Content-Aware Image Analysis

    Science.gov (United States)

    2015-03-01

    PROTOTYPE FOR META- ALGORITHMIC , CONTENT-AWARE IMAGE ANALYSIS UNIVERSITY OF VIRGINIA MARCH 2015 FINAL TECHNICAL REPORT...Visual Object Recognition : A Review." IEEE Trans. on Pattern Analysis and Machine Analysis , 2013. [32] Rakotomamonjy A., Bach F., Canu S., Y...Learning a Discriminative Dictionary for Recognition ," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 35, no. 11, pp. 2651 - 2664

  20. MR brain image analysis in dementia: From quantitative imaging biomarkers to ageing brain models and imaging genetics.

    Science.gov (United States)

    Niessen, Wiro J

    2016-10-01

    MR brain image analysis has constantly been a hot topic research area in medical image analysis over the past two decades. In this article, it is discussed how the field developed from the construction of tools for automatic quantification of brain morphology, function, connectivity and pathology, to creating models of the ageing brain in normal ageing and disease, and tools for integrated analysis of imaging and genetic data. The current and future role of the field in improved understanding of the development of neurodegenerative disease is discussed, and its potential for aiding in early and differential diagnosis and prognosis of different types of dementia. For the latter, the use of reference imaging data and reference models derived from large clinical and population imaging studies, and the application of machine learning techniques on these reference data, are expected to play a key role. Copyright © 2016 Elsevier B.V. All rights reserved.

  1. Adaptive Local Image Registration: Analysis on Filter Size

    OpenAIRE

    Vishnukumar S; M.Wilscy

    2012-01-01

    Adaptive Local Image Registration is a Local Image Registration based on an Adaptive Filtering frame work. A filter of appropriate size convolves with reference image and gives the pixel values corresponding to the distorted image and the filter is updated in each stage of the convolution. When the filter converges to the system model, it provides the registered image. The filter size plays an important role in this method. The analysis on the filter size is done using Peak Signal-to-Noise Ra...

  2. Image analysis benchmarking methods for high-content screen design.

    Science.gov (United States)

    Fuller, C J; Straight, A F

    2010-05-01

    The recent development of complex chemical and small interfering RNA (siRNA) collections has enabled large-scale cell-based phenotypic screening. High-content and high-throughput imaging are widely used methods to record phenotypic data after chemical and small interfering RNA treatment, and numerous image processing and analysis methods have been used to quantify these phenotypes. Currently, there are no standardized methods for evaluating the effectiveness of new and existing image processing and analysis tools for an arbitrary screening problem. We generated a series of benchmarking images that represent commonly encountered variation in high-throughput screening data and used these image standards to evaluate the robustness of five different image analysis methods to changes in signal-to-noise ratio, focal plane, cell density and phenotype strength. The analysis methods that were most reliable, in the presence of experimental variation, required few cells to accurately distinguish phenotypic changes between control and experimental data sets. We conclude that by applying these simple benchmarking principles an a priori estimate of the image acquisition requirements for phenotypic analysis can be made before initiating an image-based screen. Application of this benchmarking methodology provides a mechanism to significantly reduce data acquisition and analysis burdens and to improve data quality and information content.

  3. Multivariate image analysis for quality inspection in fish feed production

    DEFF Research Database (Denmark)

    Ljungqvist, Martin Georg

    , or synthesised chemically. Common for both types is that they are relatively expensive in comparison to the other feed ingredients. This thesis investigates multi-variate data collection for visual inspection and optimisation of industrial production in the fish feed industry. Quality parameters focused on here...... are: pellet size, type and concentration level of astaxanthin in pellet coating, as well as astaxanthin type detected in salmonid fish. Methods used are three different devices for multi- and hyper-spectral imaging, together with shape analysis and multi-variate statistical analysis. The results...... of the work demonstrate a high potential of image analysis and spectral imaging for assessing the product quality of fish feed pellets, astaxanthin and fish meat. We show how image analysis can be used to inspect the pellet size, and how spectral imaging can be used to inspect the surface quality...

  4. Quantitative methods for the analysis of electron microscope images

    DEFF Research Database (Denmark)

    Skands, Peter Ulrik Vallø

    1996-01-01

    The topic of this thesis is an general introduction to quantitative methods for the analysis of digital microscope images. The images presented are primarily been acquired from Scanning Electron Microscopes (SEM) and interfermeter microscopes (IFM). The topic is approached though several examples...... foundation of the thesis fall in the areas of: 1) Mathematical Morphology; 2) Distance transforms and applications; and 3) Fractal geometry. Image analysis opens in general the possibility of a quantitative and statistical well founded measurement of digital microscope images. Herein lies also the conditions...

  5. Theoretical analysis of radiographic images by nonstationary Poisson processes

    Energy Technology Data Exchange (ETDEWEB)

    Tanaka, K.; Uchida, S. (Gifu Univ. (Japan)); Yamada, I.

    1980-12-01

    This paper deals with the noise analysis of radiographic images obtained in the usual fluorescent screen-film system. The theory of nonstationary Poisson processes is applied to the analysis of the radiographic images containing the object information. The ensemble averages, the autocorrelation functions, and the Wiener spectrum densities of the light-energy distribution at the fluorescent screen and of the film optical-density distribution are obtained. The detection characteristics of the system are evaluated theoretically. Numerical examples one-dimensional image are shown and the results are compared with those obtained under the assumption that the object image is related to the background noise by the additive process.

  6. Theoretical Analysis of Radiographic Images by Nonstationary Poisson Processes

    Science.gov (United States)

    Tanaka, Kazuo; Yamada, Isao; Uchida, Suguru

    1980-12-01

    This paper deals with the noise analysis of radiographic images obtained in the usual fluorescent screen-film system. The theory of nonstationary Poisson processes is applied to the analysis of the radiographic images containing the object information. The ensemble averages, the autocorrelation functions, and the Wiener spectrum densities of the light-energy distribution at the fluorescent screen and of the film optical-density distribution are obtained. The detection characteristics of the system are evaluated theoretically. Numerical examples of the one-dimensional image are shown and the results are compared with those obtained under the assumption that the object image is related to the background noise by the additive process.

  7. Automated thermal mapping techniques using chromatic image analysis

    Science.gov (United States)

    Buck, Gregory M.

    1989-01-01

    Thermal imaging techniques are introduced using a chromatic image analysis system and temperature sensitive coatings. These techniques are used for thermal mapping and surface heat transfer measurements on aerothermodynamic test models in hypersonic wind tunnels. Measurements are made on complex vehicle configurations in a timely manner and at minimal expense. The image analysis system uses separate wavelength filtered images to analyze surface spectral intensity data. The system was initially developed for quantitative surface temperature mapping using two-color thermographic phosphors but was found useful in interpreting phase change paint and liquid crystal data as well.

  8. Image Harvest: an open-source platform for high-throughput plant image processing and analysis.

    Science.gov (United States)

    Knecht, Avi C; Campbell, Malachy T; Caprez, Adam; Swanson, David R; Walia, Harkamal

    2016-05-01

    High-throughput plant phenotyping is an effective approach to bridge the genotype-to-phenotype gap in crops. Phenomics experiments typically result in large-scale image datasets, which are not amenable for processing on desktop computers, thus creating a bottleneck in the image-analysis pipeline. Here, we present an open-source, flexible image-analysis framework, called Image Harvest (IH), for processing images originating from high-throughput plant phenotyping platforms. Image Harvest is developed to perform parallel processing on computing grids and provides an integrated feature for metadata extraction from large-scale file organization. Moreover, the integration of IH with the Open Science Grid provides academic researchers with the computational resources required for processing large image datasets at no cost. Image Harvest also offers functionalities to extract digital traits from images to interpret plant architecture-related characteristics. To demonstrate the applications of these digital traits, a rice (Oryza sativa) diversity panel was phenotyped and genome-wide association mapping was performed using digital traits that are used to describe different plant ideotypes. Three major quantitative trait loci were identified on rice chromosomes 4 and 6, which co-localize with quantitative trait loci known to regulate agronomically important traits in rice. Image Harvest is an open-source software for high-throughput image processing that requires a minimal learning curve for plant biologists to analyzephenomics datasets.

  9. Mechanistic analysis of interspecific competition using foraging trade-offs: implications for duck assemblages.

    Science.gov (United States)

    Gurd, D Brent

    2008-02-01

    The role of interspecific competition and resource partitioning in determining the composition of species assemblages is often controversial. In many cases data on species co-occurrence or resource use (prey or habitat) have been interpreted without a clear understanding of how, or even whether, phenotypic differences constrain performance to allow resource partitioning or how these constraints and the density of resources and competitors should shape resource selection by each species. Instead, predictions have been based on assumed constraints, possibly leading to conflicting results. One such controversy involves the role of bill morphology in mediating resource partitioning among dabbling ducks (Anas spp.). To determine whether incorrect assumptions may have contributed to this controversy, I constructed mechanistic models that predict filter-feeding performance for seven species of ducks directly from bill morphology and kinetics and compared these predictions to those of earlier studies that tested the bill morphology hypothesis. The models predicted that species should share a preference for their most profitable (primary) prey while partitioning their less profitable (secondary) prey by size. Consequently, ducks should forage in the same habitats and exhibit high overlap in prey size when competitor/resource ratios are either high or low. In contrast, earlier studies expected that resource partitioning should always be evident, which implicitly assumes that species partition their primary resources. The models also predicted that the ecological similarity of species in assemblages should increase as prey abundance and size variability declines, contrary to the expectations of an earlier study. A more consistent understanding of the mechanisms regulating assemblages of dabbling ducks, and other species, might emerge if patterns of resource use and species co-occurrence were predicted directly from a mechanistic understanding of how performance trade

  10. Alveolar breath sampling and analysis to assess trihalomethane exposures during competitive swimming training.

    Science.gov (United States)

    Lindstrom, A B; Pleil, J D; Berkoff, D C

    1997-06-01

    Alveolar breath sampling was used to assess trihalomethane (THM) exposures encountered by collegiate swimmers during a typical 2-hr training period in an indoor natatorium. The breath samples were collected at regular intervals before, during, and for 3 hr after a moderately intense training workout. Integrated and grab whole-air samples were collected during the training period to help determine inhalation exposures, and pool water samples were collected to help assess dermal exposures. Resulting breath samples collected during the workout demonstrated a rapid uptake of two THMs (chloroform and bromodichloromethane), with chloroform concentrations exceeding the natatorium air levels within 8 min after the exposure began. Chloroform levels continued to rise steeply until they were more than two times the indoor levels, providing evidence that the dermal route of exposure was relatively rapid and ultimately more important than the inhalation route in this training scenario. Chloroform elimination after the exposure period was fitted to a three compartment model that allowed estimation of compartmental half-lives, resulting minimum bloodborne dose, and an approximation of the duration of elevated body burdens. We estimated the dermal exposure route to account for 80% of the blood chloroform concentration and the transdermal diffusion efficiency from the water to the blood to in excess of 2%. Bromodichloromethane elimination was fitted to a two compartment model which provided evidence of a small, but measurable, body burden of this THM resulting from vigorous swim training. These results suggest that trihalomethane exposures for competitive swimmers under prolonged, high-effort training are common and possibly higher than was previously thought and that the dermal exposure route is dominant. The exposures and potential risks associated with this common recreational activity should be more thoroughly investigated.

  11. Introducing PLIA: Planetary Laboratory for Image Analysis

    Science.gov (United States)

    Peralta, J.; Hueso, R.; Barrado, N.; Sánchez-Lavega, A.

    2005-08-01

    We present a graphical software tool developed under IDL software to navigate, process and analyze planetary images. The software has a complete Graphical User Interface and is cross-platform. It can also run under the IDL Virtual Machine without the need to own an IDL license. The set of tools included allow image navigation (orientation, centring and automatic limb determination), dynamical and photometric atmospheric measurements (winds and cloud albedos), cylindrical and polar projections, as well as image treatment under several procedures. Being written in IDL, it is modular and easy to modify and grow for adding new capabilities. We show several examples of the software capabilities with Galileo-Venus observations: Image navigation, photometrical corrections, wind profiles obtained by cloud tracking, cylindrical projections and cloud photometric measurements. Acknowledgements: This work has been funded by Spanish MCYT PNAYA2003-03216, fondos FEDER and Grupos UPV 15946/2004. R. Hueso acknowledges a post-doc fellowship from Gobierno Vasco.

  12. Social Media Image Analysis for Public Health

    OpenAIRE

    2015-01-01

    Several projects have shown the feasibility to use textual social media data to track public health concerns, such as temporal influenza patterns or geographical obesity patterns. In this paper, we look at whether geo-tagged images from Instagram also provide a viable data source. Especially for "lifestyle" diseases, such as obesity, drinking or smoking, images of social gatherings could provide information that is not necessarily shared in, say, tweets. In this study, we explore whether (i) ...

  13. Autonomous image data reduction by analysis and interpretation

    Science.gov (United States)

    Eberlein, Susan; Yates, Gigi; Ritter, Niles

    Image data is a critical component of the scientific information acquired by space missions. Compression of image data is required due to the limited bandwidth of the data transmission channel and limited memory space on the acquisition vehicle. This need becomes more pressing when dealing with multispectral data where each pixel may comprise 300 or more bytes. An autonomous, real time, on-board image analysis system for an exploratory vehicle such as a Mars Rover is developed. The completed system will be capable of interpreting image data to produce reduced representations of the image, and of making decisions regarding the importance of data based on current scientific goals. Data from multiple sources, including stereo images, color images, and multispectral data, are fused into single image representations. Analysis techniques emphasize artificial neural networks. Clusters are described by their outlines and class values. These analysis and compression techniques are coupled with decision-making capacity for determining importance of each image region. Areas determined to be noise or uninteresting can be discarded in favor of more important areas. Thus limited resources for data storage and transmission are allocated to the most significant images.

  14. Exploiting multi-context analysis in semantic image classification

    Institute of Scientific and Technical Information of China (English)

    TIAN Yong-hong; HUANG Tie-jun; GAO Wen

    2005-01-01

    As the popularity of digital images is rapidly increasing on the Internet, research on technologies for semantic image classification has become an important research topic. However, the well-known content-based image classification methods do not overcome the so-called semantic gap problem in which low-level visual features cannot represent the high-level semantic content of images. Image classification using visual and textual information often performs poorly since the extracted textual features are often too limited to accurately represent the images. In this paper, we propose a semantic image classification approach using multi-context analysis. For a given image, we model the relevant textual information as its multi-modal context, and regard the related images connected by hyperlinks as its link context. Two kinds of context analysis models, i.e., cross-modal correlation analysis and link-based correlation model, are used to capture the correlation among different modals of features and the topical dependency among images induced by the link structure. We propose a new collective classification model called relational support vector classifier (RSVC) based on the well-known Support Vector Machines (SVMs) and the link-based correlation model. Experiments showed that the proposed approach significantly improved classification accuracy over that of SVM classifiers using visual and/or textual features.

  15. Diagnostic imaging analysis of the impacted mesiodens

    Energy Technology Data Exchange (ETDEWEB)

    Noh, Jeong Jun; Choi, Bo Ram; Jeong, Hwan Seok; Huh, Kyung Hoe; Yi, Won Jin; Heo, Min Suk; Lee, Sam Sun; Choi, Soon Chul [School of Dentistry, Seoul National University, Seoul (Korea, Republic of)

    2010-06-15

    The research was performed to predict the three dimensional relationship between the impacted mesiodens and the maxillary central incisors and the proximity with the anatomic structures by comparing their panoramic images with the CT images. Among the patients visiting Seoul National University Dental Hospital from April 2003 to July 2007, those with mesiodens were selected (154 mesiodens of 120 patients). The numbers, shapes, orientation and positional relationship of mesiodens with maxillary central incisors were investigated in the panoramic images. The proximity with the anatomical structures and complications were investigated in the CT images as well. The sex ratio (M : F) was 2.28 : 1 and the mean number of mesiodens per one patient was 1.28. Conical shape was 84.4% and inverted orientation was 51.9%. There were more cases of anatomical structures encroachment, especially on the nasal floor and nasopalatine duct, when the mesiodens was not superimposed with the central incisor. There were, however, many cases of the nasopalatine duct encroachment when the mesiodens was superimpoised with the apical 1/3 of central incisor (52.6%). Delayed eruption (55.6%), crown rotation (66.7%) and crown resorption (100%) were observed when the mesiodens was superimposed with the crown of the central incisor. It is possible to predict three dimensional relationship between the impacted mesiodens and the maxillary central incisors in the panoramic images, but more details should be confirmed by the CT images when necessary.

  16. Efficiency analysis of color image filtering

    Directory of Open Access Journals (Sweden)

    Egiazarian Karen

    2011-01-01

    Full Text Available Abstract This article addresses under which conditions filtering can visibly improve the image quality. The key points are the following. First, we analyze filtering efficiency for 25 test images, from the color image database TID2008. This database allows assessing filter efficiency for images corrupted by different noise types for several levels of noise variance. Second, the limit of filtering efficiency is determined for independent and identically distributed (i.i.d. additive noise and compared to the output mean square error of state-of-the-art filters. Third, component-wise and vector denoising is studied, where the latter approach is demonstrated to be more efficient. Fourth, using of modern visual quality metrics, we determine that for which levels of i.i.d. and spatially correlated noise the noise in original images or residual noise and distortions because of filtering in output images are practically invisible. We also demonstrate that it is possible to roughly estimate whether or not the visual quality can clearly be improved by filtering.

  17. Digital image processing and analysis human and computer vision applications with CVIPtools

    CERN Document Server

    Umbaugh, Scott E

    2010-01-01

    Section I Introduction to Digital Image Processing and AnalysisDigital Image Processing and AnalysisOverviewImage Analysis and Computer VisionImage Processing and Human VisionKey PointsExercisesReferencesFurther ReadingComputer Imaging SystemsImaging Systems OverviewImage Formation and SensingCVIPtools SoftwareImage RepresentationKey PointsExercisesSupplementary ExercisesReferencesFurther ReadingSection II Digital Image Analysis and Computer VisionIntroduction to Digital Image AnalysisIntroductionPreprocessingBinary Image AnalysisKey PointsExercisesSupplementary ExercisesReferencesFurther Read

  18. Country of Origin Image and Foreign Markets Strategy: Analysis of the Brazilian Cosmetics Company Natura

    Directory of Open Access Journals (Sweden)

    Mariana Bassi Sutter

    2015-09-01

    Full Text Available This study investigates the use of country of origin image (COI by an emerging market multinational (EMMN on their internationalization process. To this end, we integrate COI literature with the attributes that make up Brazil’s image abroad. This study conducts a qualitative and descriptive approach using the single case study on the case of the Brazilian company Natura Cosméticos S.A. Case analysis, relying on discourse analysis, allowed us to find out that the company uses COI as part of its international strategy; COI attributes can be used positively by an EMMN and might contribute to their image abroad. About the first finding, the study also points out ways Natura integrates Brazilianness attributes into its international marketing strategy, since Natura’s competitive differential is sustained on product development based on the biodiversity of Brazilian fauna and flora. Our study shows ways how an EMMN might use COI concept into their international marketing strategy in order to build their image abroad and differentiate itself positively.

  19. Region of interest extraction based on multiscale visual saliency analysis for remote sensing images

    Science.gov (United States)

    Zhang, Yinggang; Zhang, Libao; Yu, Xianchuan

    2015-01-01

    Region of interest (ROI) extraction is an important component of remote sensing image processing. However, traditional ROI extraction methods are usually prior knowledge-based and depend on classification, segmentation, and a global searching solution, which are time-consuming and computationally complex. We propose a more efficient ROI extraction model for remote sensing images based on multiscale visual saliency analysis (MVS), implemented in the CIE L*a*b* color space, which is similar to visual perception of the human eye. We first extract the intensity, orientation, and color feature of the image using different methods: the visual attention mechanism is used to eliminate the intensity feature using a difference of Gaussian template; the integer wavelet transform is used to extract the orientation feature; and color information content analysis is used to obtain the color feature. Then, a new feature-competition method is proposed that addresses the different contributions of each feature map to calculate the weight of each feature image for combining them into the final saliency map. Qualitative and quantitative experimental results of the MVS model as compared with those of other models show that it is more effective and provides more accurate ROI extraction results with fewer holes inside the ROI.

  20. Judging complex movement performances for excellence: a principal components analysis-based technique applied to competitive diving.

    Science.gov (United States)

    Young, Cole; Reinkensmeyer, David J

    2014-08-01

    Athletes rely on subjective assessment of complex movements from coaches and judges to improve their motor skills. In some sports, such as diving, snowboard half pipe, gymnastics, and figure skating, subjective scoring forms the basis for competition. It is currently unclear whether this scoring process can be mathematically modeled; doing so could provide insight into what motor skill is. Principal components analysis has been proposed as a motion analysis method for identifying fundamental units of coordination. We used PCA to analyze movement quality of dives taken from USA Diving's 2009 World Team Selection Camp, first identifying eigenpostures associated with dives, and then using the eigenpostures and their temporal weighting coefficients, as well as elements commonly assumed to affect scoring - gross body path, splash area, and board tip motion - to identify eigendives. Within this eigendive space we predicted actual judges' scores using linear regression. This technique rated dives with accuracy comparable to the human judges. The temporal weighting of the eigenpostures, body center path, splash area, and board tip motion affected the score, but not the eigenpostures themselves. These results illustrate that (1) subjective scoring in a competitive diving event can be mathematically modeled; (2) the elements commonly assumed to affect dive scoring actually do affect scoring (3) skill in elite diving is more associated with the gross body path and the effect of the movement on the board and water than the units of coordination that PCA extracts, which might reflect the high level of technique these divers had achieved. We also illustrate how eigendives can be used to produce dive animations that an observer can distort continuously from poor to excellent, which is a novel approach to performance visualization.