WorldWideScience

Sample records for image analysis competition

  1. Concept analysis of competitiveness

    Directory of Open Access Journals (Sweden)

    Bychkovskii Andrei Yurevich

    2013-10-01

    Full Text Available Approaches to determine the competitiveness of enterprises. The techniques of estimating the probability of bankruptcy as the lowest level of competitiveness of the organization. Asked to assess the competitiveness on the basis of the analysis of internal and external factors of the company. External factors are asked to provide a financial and economic, political, industrial, technological, social, environmental. Internal factors proposed to explore, using the model of "the golden rule of business economics" in conjunction with approaches for assessing the ability of the enterprise to create value.

  2. BMC Ecology image competition: the winning images.

    Science.gov (United States)

    Harold, Simon; Wong, Yan; Baguette, Michel; Bonsall, Michael B; Clobert, Jean; Royle, Nick J; Settele, Josef

    2013-03-22

    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.

  3. 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

  4. Images Of A Good Village: A Visual Analysis Of The Rural Idyll In The “Village Of The Year” Competition In The Czech Republic

    Directory of Open Access Journals (Sweden)

    Pospěch Pavel

    2015-06-01

    Full Text Available This paper presents a sociological analysis of the image of a “good village”, as portrayed in the annual Czech competition Village of the Year. It focuses on the positive representations attached to the rural in the political and expert discourse. The analysis is rooted in cultural rural sociology and in its study of rural idyll. It is argued that a specific kind of rural idyll is produced in the competition. This idyll is analysed using the photographs submitted to the competition by the villages themselves. A combination of visual methods is employed to uncover the positive values attached to the images. The results show that activity and social life play a key role in the image of a “good village” thus produced. On the other hand, there are virtually no references to agriculture.

  5. Imaging cell competition in Drosophila imaginal discs.

    Science.gov (United States)

    Ohsawa, Shizue; Sugimura, Kaoru; Takino, Kyoko; Igaki, Tatsushi

    2012-01-01

    Cell competition is a process in which cells with higher fitness ("winners") survive and proliferate at the expense of less fit neighbors ("losers"). It has been suggested that cell competition is involved in a variety of biological processes such as organ size control, tissue homeostasis, cancer progression, and the maintenance of stem cell population. By advent of a genetic mosaic technique, which enables to generate fluorescently marked somatic clones in Drosophila imaginal discs, recent studies have presented some aspects of molecular mechanisms underlying cell competition. Now, with a live-imaging technique using ex vivo-cultured imaginal discs, we can dissect the spatiotemporal nature of competitive cell behaviors within multicellular communities. Here, we describe procedures and tips for live imaging of cell competition in Drosophila imaginal discs. Copyright © 2012 Elsevier Inc. All rights reserved.

  6. BMC Ecology Image Competition 2016: the winning images.

    Science.gov (United States)

    Simundza, Julia; Palmer, Matthew; Settele, Josef; Jacobus, Luke M; Hughes, David P; Mazzi, Dominique; Blanchet, Simon

    2016-08-09

    The 2016 BMC Ecology Image Competition marked another celebration of the astounding biodiversity, natural beauty, and biological interactions documented by talented ecologists worldwide. For our fourth annual competition, we welcomed guest judge Dr. Matthew Palmer of Columbia University, who chose the winning image from over 140 entries. In this editorial, we highlight the award winning images along with a selection of highly commended honorable mentions.

  7. 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.

  8. Level set method for image segmentation based on moment competition

    Science.gov (United States)

    Min, Hai; Wang, Xiao-Feng; Huang, De-Shuang; Jin, Jing; Wang, Hong-Zhi; Li, Hai

    2015-05-01

    We propose a level set method for image segmentation which introduces the moment competition and weakly supervised information into the energy functional construction. Different from the region-based level set methods which use force competition, the moment competition is adopted to drive the contour evolution. Here, a so-called three-point labeling scheme is proposed to manually label three independent points (weakly supervised information) on the image. Then the intensity differences between the three points and the unlabeled pixels are used to construct the force arms for each image pixel. The corresponding force is generated from the global statistical information of a region-based method and weighted by the force arm. As a result, the moment can be constructed and incorporated into the energy functional to drive the evolving contour to approach the object boundary. In our method, the force arm can take full advantage of the three-point labeling scheme to constrain the moment competition. Additionally, the global statistical information and weakly supervised information are successfully integrated, which makes the proposed method more robust than traditional methods for initial contour placement and parameter setting. Experimental results with performance analysis also show the superiority of the proposed method on segmenting different types of complicated images, such as noisy images, three-phase images, images with intensity inhomogeneity, and texture images.

  9. BMC ecology image competition 2017: the winning images.

    Science.gov (United States)

    Foote, Christopher; Darimont, Chris T; Baguette, Michel; Blanchet, Simon; Jacobus, Luke M; Mazzi, Dominique; Settele, Josef

    2017-08-18

    For the fifth year, BMC Ecology is proud to present the winning images from our annual image competition. The 2017 edition received entries by talented shutterbug-ecologists from across the world, showcasing research that is increasing our understanding of ecosystems worldwide and the beauty and diversity of life on our planet. In this editorial we showcase the winning images, as chosen by our Editorial Board and guest judge Chris Darimont, as well as our selection of highly commended images. Enjoy!

  10. Analysis of the competitiveness of small business

    OpenAIRE

    KUČEROVÁ, Iveta

    2011-01-01

    The bachalorś thesis is described and characterized by a particular small business. Furthermore, its competitiveness, competitiveness analysis, and analysis of its major competitors. Based on a comparison of the chosen company to the competition is based on a proposal to improve business competitiveness and market position.

  11. ANALYSIS OF COMPETITION INDUSTRIAL ENTERPRISES

    Directory of Open Access Journals (Sweden)

    A. O. Egorova

    2014-01-01

    Full Text Available The paper analyzed and systematized the definition of "competition" proposed by domestic and foreign scholars in the field of strategic management, based on these discovered and refined essence of the concept of "competition". We consider the price and non-price competition. Examples are given of the methods of competition used in the practice of industrial activities. Substantiated that the forms and methods of competition must be constantly improved through the search for new competitive advantages.

  12. 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.

  13. Product Image to Build the Core Competitiveness of Enterprises

    Directory of Open Access Journals (Sweden)

    Shi Yan

    2017-01-01

    Full Text Available As a new specialty research field, Product Image is being paid more attention. This article introduced the concept of Product Image and Core-competition, and illustrated how to conduct Core-competition of enterprise from two aspects of the foundation of Product Image and the communication of Product Image.

  14. 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.

  15. 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

  16. MICROECONOMIC ANALYSIS IN COMPETITION POLICY

    OpenAIRE

    Paul Prisecaru

    2013-01-01

    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...

  17. Image analysis

    International Nuclear Information System (INIS)

    Berman, M.; Bischof, L.M.; Breen, E.J.; Peden, G.M.

    1994-01-01

    This paper provides an overview of modern image analysis techniques pertinent to materials science. The usual approach in image analysis contains two basic steps: first, the image is segmented into its constituent components (e.g. individual grains), and second, measurement and quantitative analysis are performed. Usually, the segmentation part of the process is the harder of the two. Consequently, much of the paper concentrates on this aspect, reviewing both fundamental segmentation tools (commonly found in commercial image analysis packages) and more advanced segmentation tools. There is also a review of the most widely used quantitative analysis methods for measuring the size, shape and spatial arrangements of objects. Many of the segmentation and analysis methods are demonstrated using complex real-world examples. Finally, there is a discussion of hardware and software issues. 42 refs., 17 figs

  18. 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...... performers from Kaggle and use previous personal experiences from competing in Kaggle competitions. The stated hypotheses about feature engineering, ensembling, overfitting, model complexity and evaluation metrics give indications and guidelines on how to select a proper model for performing well...... 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...

  19. 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.

  20. 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.

  1. A competition in unsupervised color image segmentation

    Czech Academy of Sciences Publication Activity Database

    Haindl, Michal; Mikeš, Stanislav

    2016-01-01

    Roč. 57, č. 9 (2016), s. 136-151 ISSN 0031-3203 R&D Projects: GA ČR(CZ) GA14-10911S Institutional support: RVO:67985556 Keywords : Unsupervised image segmentation * Segmentation contest * Texture analysis Subject RIV: BD - Theory of Information Impact factor: 4.582, year: 2016 http://library.utia.cas.cz/separaty/2016/RO/haindl-0459179.pdf

  2. 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.

  3. 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...... area within the four participating Nordic countries. It is a regional meeting of the International Association for Pattern Recognition (IAPR). We would like to thank all authors who submitted works to this year’s SCIA, the invited speakers, and our Program Committee. In total 67 papers were submitted....... 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...

  4. Interpretation Analysis as a Competitive Event.

    Science.gov (United States)

    Nading, Robert M.

    Interpretation analysis is a new and interesting event on the forensics horizon which appears to be attracting an ever larger number of supporters. This event, developed by Larry Lambert of Ball State University in 1989, requires a student to perform all three disciplines of forensic competition (interpretation, public speaking, and limited…

  5. 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.

  6. 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...

  7. Retinal Imaging and Image Analysis

    Science.gov (United States)

    Abràmoff, Michael D.; Garvin, Mona K.; Sonka, Milan

    2011-01-01

    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 blindness in the industrialized world that includes age-related macular degeneration, diabetic retinopathy, and glaucoma, the review is devoted to retinal imaging and image analysis methods and their clinical implications. Methods for 2-D fundus imaging and techniques for 3-D optical coherence tomography (OCT) imaging are reviewed. Special attention is given to quantitative techniques for analysis of fundus photographs with a focus on clinically relevant assessment of retinal vasculature, identification of retinal lesions, assessment of optic nerve head (ONH) shape, building retinal atlases, and to automated methods for population screening for retinal diseases. A separate section is devoted to 3-D analysis of OCT images, describing methods for segmentation and analysis of retinal layers, retinal vasculature, and 2-D/3-D detection of symptomatic exudate-associated derangements, as well as to OCT-based analysis of ONH morphology and shape. Throughout the paper, aspects of image acquisition, image analysis, and clinical relevance are treated together considering their mutually interlinked relationships. PMID:22275207

  8. COMPETITIVE SOCIAL POSITION OF THE COUNTRY: A COMPARATIVE ANALYSIS

    Directory of Open Access Journals (Sweden)

    I. Chornodid

    2014-01-01

    Full Text Available The article reveals the essence of the country's competitive position, a comparative analysis according to international indexes and indicators is provided. Also the competitive social benefits of the country are described. The real situation of the competitive social benefits is considered on international standards and assessments. The estimation of the position of Ukraine is given in terms of freedom, network readiness index, the index of competitiveness of travel and tourism.

  9. Analysis of the JSF Engine Competition

    Science.gov (United States)

    2012-09-01

    development and planned production relative to the F136, the differences were not significant enough to saddle the F136 with a competitive disadvantage ... disadvantage of the F136 at the first competitive lot to be smaller than those calculated for earlier successful competition programs. Once we...SDD contracts by evaluating F135 and F136 schedule projections  Focused on Initial Flight Release ( IFR ) and Initial Service Release (ISR

  10. 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

  11. Competition

    NARCIS (Netherlands)

    Bridoux, F.; Vodosek, M.; Den Hartog, D.N.; McNett, J.M.

    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

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

    OpenAIRE

    Yang, Xingyu; Zhang, Weiguo; Xu, Weijun; Zhang, Yong

    2011-01-01

    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 pu...

  13. 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...

  14. 75Se-labelled cortisol in analysis by competition

    International Nuclear Information System (INIS)

    Glover, J.S.; Chambers, V.E.M.

    1975-01-01

    Selenium 75 has nuclear properties very suitable for the labelling of steroids used as tracers in competition analysis. A method of preparing a selenium-labelled cortisol derivative, 75 Se methylselenoprednisolone, is described. A system based on bonding competition between plasma cortisol and 75 Se methylselenoprednisolone on transcortine was studied, the separation taking place on a Sephadex adsorbant. An early analysis with highly stable reagents was achieved [fr

  15. Analysis of the competitive strategies in the Spanish market petroleum

    International Nuclear Information System (INIS)

    Bello, A.; Cavero, S.

    2007-01-01

    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)

  16. The analysis of aspects of food industry competitiveness in Serbia

    Directory of Open Access Journals (Sweden)

    Bešić Cariša

    2014-01-01

    Full Text Available Competitive ability of the company in modern business conditions is difficult to achieve and easy to lose. The reason for this attitude is the fact that the rapid technological improvement enabled the technology with becoming available to everyone in the world under reasonable terms. Competitiveness of domestic companies is very low. Insufficient application of knowledge, low technological level of enterprises, unproductiveness and inefficiency are just part of the problem. Food industry in Serbia shares the fate of domestic economy - non-competitiveness is one of the main factors which affect the crisis in agricultural sector. The authors of this paper, based on the available national and international statistical data, have done analysis and display of competitive opportunities of domestic economy in general and in particular sectors of food industry. The authors also indicate the possibility of improving competitiveness.

  17. 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.

  18. 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.

  19. 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.

  20. 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.

  1. An analysis of the proposed Airline Competition Enhancement Act

    OpenAIRE

    Smith, Janice S.

    1990-01-01

    Approved for public release, distribution is unlimited This analysis examines problem issues in the passenger airline industry and determines how the proposed Airline Competition Enhancement Act would impact these issues. A summarization of the history of airline deregulation is followed by an assessment of the factors that are contributing to the call for re-regulation. From this assessment, recommendations for changes to the proposed Airline Competition Enhancement Act are made. Lieut...

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

    OpenAIRE

    Abrudan, Ioana-Nicoleta; Plaias, Ioan; Dabija, Dan-Cristian

    2015-01-01

    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, mediate...

  3. 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.

  4. Intelligence analysis – the royal discipline of Competitive Intelligence

    Directory of Open Access Journals (Sweden)

    František Bartes

    2011-01-01

    Full Text Available 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 business practice, is the “forecasting of the future”. That is forecasting about the future, which forms the basis for strategic decisions made by the company’s top management. To implement that requirement in corporate practice, the author perceives Competitive Intelligence as a systemic application discipline. This approach allows him to propose a “Work Plan” for Competitive Intelligence as a fundamental standardized document to steer Competitive Intelligence team activities. The author divides the Competitive Intelligence team work plan into five basic parts. Those parts are derived from the five-stage model of the intelligence cycle, which, in the author’s opinion, is more appropriate for complicated cases of Competitive Intelligence.

  5. 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

  6. Oncological image analysis.

    Science.gov (United States)

    Brady, Sir Michael; Highnam, Ralph; Irving, Benjamin; Schnabel, Julia A

    2016-10-01

    Cancer is one of the world's major healthcare challenges and, as such, an important application of medical image analysis. After a brief introduction to cancer, we summarise some of the major developments in oncological image analysis over the past 20 years, but concentrating those in the authors' laboratories, and then outline opportunities and challenges for the next decade. Copyright © 2016 Elsevier B.V. All rights reserved.

  7. 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....

  8. Genetic analysis on the competitive ability of barley ( Hordeum ...

    African Journals Online (AJOL)

    Genetic analysis on the competitive ability of barley ( Hordeum vulgare L.) recombinant inbred lines intercropped with oat ( Avena sativa L.) weeds. ... Furthermore, the commonly used herbicide price is soaring from time to time and out of the reach of the poor farmers in the developing countries. Therefore, this method is an ...

  9. 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....

  10. 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.

  11. Single Image Super-Resolution Based on Multi-Scale Competitive Convolutional Neural Network.

    Science.gov (United States)

    Du, Xiaofeng; Qu, Xiaobo; He, Yifan; Guo, Di

    2018-03-06

    Deep convolutional neural networks (CNNs) are successful in single-image super-resolution. Traditional CNNs are limited to exploit multi-scale contextual information for image reconstruction due to the fixed convolutional kernel in their building modules. To restore various scales of image details, we enhance the multi-scale inference capability of CNNs by introducing competition among multi-scale convolutional filters, and build up a shallow network under limited computational resources. The proposed network has the following two advantages: (1) the multi-scale convolutional kernel provides the multi-context for image super-resolution, and (2) the maximum competitive strategy adaptively chooses the optimal scale of information for image reconstruction. Our experimental results on image super-resolution show that the performance of the proposed network outperforms the state-of-the-art methods.

  12. 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...

  13. 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.

  14. 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.

  15. Confirmatory factor analysis of the Competitive State Anxiety Inventory-2.

    Science.gov (United States)

    Lane, A M; Sewell, D F; Terry, P C; Bartram, D; Nesti, M S

    1999-06-01

    The aim of this study was to evaluate the factor structure of the Competitive State Anxiety Inventory-2 (CSAI-2) using confirmatory factor analysis. Volunteer participants (n = 1213) completed the CSAI-2 approximately 1 h before competition and the data were analysed in two samples. The hypothesized model showed poor fit indices in both samples independently (Robust Comparative Fit Index: sample A = 0.82, sample B = 0.84) and simultaneously (Comparative Fit Index = 0.83), suggesting that the factor structure proposed by Martens et al. is flawed. Our findings suggest that a limitation of the Cognitive Anxiety scale derives from phrasing items around the word 'concerned' rather than 'worried'. We suggest that being concerned about an impending performance does not necessarily mean that an athlete is experiencing negative thoughts, but that the athlete is acknowledging the importance and difficulty of the challenge and is attempting to mobilize resources to cope. The present results question the use of the CSAI-2 as a valid measure of competitive state anxiety.

  16. 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 ...

  17. The Formation of a Positive International Image of Country as a Means of Enhancing Competitiveness

    Directory of Open Access Journals (Sweden)

    Novikova Ludmyla V.

    2017-11-01

    Full Text Available The article is aimed at studying the essence of the concept of «image of the state» and substantiating the conceptual model of forming a positive international image of country as a means of enhancing competitiveness in the international market. The essence of the concept of «image of the State» has been defined. The factors influencing the formation of the international image of country have been distributed and systematized. The principles on which the process of formation of country image of modern format, receiving public recognition and adequate international estimation, have been allocated. A conceptual model of formation of positive international image of country, based on the hypothesis of influence of positive image on creation of significant competitive advantages in the international market of goods and services, has been proposed. The key features of the model are defined as: clear distribution of the roles of the stakeholders of national image – subjects of the global economic system, level of their involvement in the process of formation and integration of the State economy into the system of international institutions.

  18. 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.

  19. 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. .

  20. Experimental analysis of the competition between algae and duckweed

    NARCIS (Netherlands)

    Roijackers, R.M.M.; Szabo, S.; Scheffer, M.

    2004-01-01

    We performed indoor competition experiments between algae and Lemna gibba L. in order to unravel mechanisms of competition. To separate effects of shading and physical interference from nutrient competition we grew the two groups physically separated while sharing the same water. A multifactorial

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

    Science.gov (United States)

    Misra, Kaustav

    2010-01-01

    Proponents of educational reform often call for policies to increase competition between schools. It is argued that market forces naturally lead to greater efficiencies, including improved student learning, when schools face competition. In many parts of the country, public schools experience significant competition from private schools; however,…

  2. 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.

  3. 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.

  4. Analysis of future nuclear power plants competitiveness with stochastic methods

    International Nuclear Information System (INIS)

    Feretic, D.; Tomsic, Z.

    2004-01-01

    operation and maintenance cost , variable maintenance and operational cost (no fuel), load factor, plant efficiency, years of credit repayment, years of plant life time. The input data for the analysis are given within best estimated or optimistically predicted ranges with a probability distribution of each within range. By applying the STATS computer which by using the Monte Carlo method selects randomly value of a parameter in predicted range and performs a calculation of required output. By repeating this process several thousand times a distribution of output values is obtained and also corresponding most probable value. The Probabilistic Analysis is performed in three steps: The analysis determines the expected range of uncertainty for key design and economic variables that make the greatest impact on the levelized cost of electricity; Developing a probability distribution for each key input variable; Monte Carlo analysis generates a probability distribution for each key performance and cost parameter using developed probability distributions. The results of analysis showed that under given assumptions future competitive nuclear power plant specific investment cost would be not considerably different from presently expected values. It amounts to a value between 1700 USD/kW and 1900 USD/kW depending if the nuclear plant is compared with gas plants working jointly with wind power units or without such units. The results show that economic competitiveness of future nuclear units relative to its main competitors will probably be not difficult to achieve.(author)

  5. Competition analysis of a triopoly game with bounded rationality

    International Nuclear Information System (INIS)

    Elsadany, A.A.

    2012-01-01

    Highlights: ► We model a Cournot triopoly game with three boundedly rational players. ► The equilibrium points of the model and their local stability are investigated. ► We study the dynamics of this model as varying the parameters. ► The stability of Nash equilibrium is lost and a chaotic behaviors occur. - Abstract: A dynamic Cournot game characterized by three boundedly rational players is modeled by three nonlinear difference equations. The stability of the equilibria of the discrete dynamical system is analyzed. As some parameters of the model are varied, the stability of Nash equilibrium is lost and a complex chaotic behavior occurs. Numerical simulation results show that complex dynamics, such as, bifurcations and chaos are displayed when the value of speed of adjustment is high. The global complexity analysis can help players to take some measures and avoid the collapse of the output dynamic competition game.

  6. Robust segmentation of medical images using competitive hop field neural network as a clustering tool

    International Nuclear Information System (INIS)

    Golparvar Roozbahani, R.; Ghassemian, M. H.; Sharafat, A. R.

    2001-01-01

    This paper presents the application of competitive Hop field neural network for medical images segmentation. Our proposed approach consists of Two steps: 1) translating segmentation of the given medical image into an optimization problem, and 2) solving this problem by a version of Hop field network known as competitive Hop field neural network. Segmentation is considered as a clustering problem and its validity criterion is based on both intra set distance and inter set distance. The algorithm proposed in this paper is based on gray level features only. This leads to near optimal solutions if both intra set distance and inter set distance are considered at the same time. If only one of these distances is considered, the result of segmentation process by competitive Hop field neural network will be far from optimal solution and incorrect even for very simple cases. Furthermore, sometimes the algorithm receives at unacceptable states. Both these problems may be solved by contributing both in tera distance and inter distances in the segmentation (optimization) process. The performance of the proposed algorithm is tested on both phantom and real medical images. The promising results and the robustness of algorithm to system noises show near optimal solutions

  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. Medical image registration for analysis

    International Nuclear Information System (INIS)

    Petrovic, V.

    2006-01-01

    Full text: Image registration techniques represent a rich family of image processing and analysis tools that aim to provide spatial correspondences across sets of medical images of similar and disparate anatomies and modalities. Image registration is a fundamental and usually the first step in medical image analysis and this paper presents a number of advanced techniques as well as demonstrates some of the advanced medical image analysis techniques they make possible. A number of both rigid and non-rigid medical image alignment algorithms of equivalent and merely consistent anatomical structures respectively are presented. The algorithms are compared in terms of their practical aims, inputs, computational complexity and level of operator (e.g. diagnostician) interaction. In particular, the focus of the methods discussion is placed on the applications and practical benefits of medical image registration. Results of medical image registration on a number of different imaging modalities and anatomies are presented demonstrating the accuracy and robustness of their application. Medical image registration is quickly becoming ubiquitous in medical imaging departments with the results of such algorithms increasingly used in complex medical image analysis and diagnostics. This paper aims to demonstrate at least part of the reason why

  9. The Middle East competitiveness report: regional and territorial analysis

    OpenAIRE

    Huggins, R; Mahroum, S; Thompson, P

    2016-01-01

    This report explores the extent to which Middle Eastern regions have generated relatively high or low levels of competitiveness. Whilst many Middle Eastern regions may owe some of their competitiveness to the natural advantages of oil reserves, for others their competitiveness has been achieved through other means. Their small size and high degree of autonomy means that many of the regions are effectively independent states. Middle Eastern nations and their regions have been characterized by ...

  10. 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.

  11. 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. Crown Copyright © 2015. Published by Elsevier Ltd. All rights reserved.

  12. 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.

  13. Competitive protein binding analysis for thyroxine using Sephadex column (Tetralute)

    International Nuclear Information System (INIS)

    Miyai, Kiyoshi; Katayama, Yoshiaki; Sawazaki, Norio; Ishibashi, Kaichiro; Kawashima, Minoru.

    1975-01-01

    The method of competitive protein binding analysis of thyroxine (T 4 ) using Tetralute kit was evaluated. The net retention was decreased when the procedure of competition and separation was performed at a higher temperature but the final T 4 -I values were constant when the standard and test sera were treated identically. Coefficient of variation (C.V.) was 4% (within-assay) and 6% (between-assay) respectively. However, the T 4 -I values of pooled serum for quality control were slightly lower in earlier experiments in which correction factors (1.03--1.62 in 18 out of 21 assays) were necessary. T 4 -I values were determined by the Tetralute in 155 cases. They were as follows: 4.9+-0.8 μg/dl (euthyroid subjects), 6.4+-1.2 μg/dl (cord serum), 7.1+-1.1 μg/dl (pregnant women). 9.0+-3.6 μg/dl (trophoblastic disease), 13.3+-4.8 μg/dl (Graves' disease), 6.3+-1.6 μg/dl (Plummer's disease), 4 -I values determined by Tetralute and Res-O-Mat T 4 (r=0.96). Following oral administration of Telepaque the serum protein-bound iodine was markedly elevated, while the T 4 -I determined by Tetralute did not change. In vitro addition of diphenylhydantoin (500 μg/ml), salicylate (4 mg/ml) and phenobarbital (1 mg/ml) had no or little effect on T 4 determination by Tetralute. A high concentration of benzbromarone (0.1 mg/ml) caused a higher value of T 4 -I determined by Tetralute when added to a TBG solution but there was only a slight increase when it was added to serum. (auth.)

  14. Competition Law, Antitrust Immunity and Profits : A Dynamic Panel Analysis

    NARCIS (Netherlands)

    Brouwer, E.; Ozbugday, F.C.

    2011-01-01

    This paper tests whether the transition from the old Economic Competition Act, which was based on the so-called "abuse system", to the new Competition Act, which was based on "prohibition system", in the Netherlands had an impact on the price-cost margins in manufacturing industries during the

  15. Competition Law, Antitrust Immunity and Profits : A Dynamic Panel Analysis

    NARCIS (Netherlands)

    Brouwer, E.; Ozbugday, F.C.

    2011-01-01

    This paper tests whether the transition from the old Economic Competition Act, which was based on the so-called “abuse system”, to the new Competition Act, which was based on “prohibition system”, in the Netherlands had an impact on the price-cost margins in manufacturing industries during the

  16. Analysis of market competitive structure: The new methodological approach based in the using

    International Nuclear Information System (INIS)

    Romero de la Fuente, J.; Yague Guillen, M. J.

    2007-01-01

    This paper proposes a new methodological approach to identify market competitive structure, applying usage situation concept in positioning analysis. Dimensions used by consumer to classify products are identified using Correspondence Analysis and competitive groups are formed. Results are validated with Discriminant Analysis. (Author) 23 refs

  17. Quantitative analysis of receptor imaging

    International Nuclear Information System (INIS)

    Fu Zhanli; Wang Rongfu

    2004-01-01

    Model-based methods for quantitative analysis of receptor imaging, including kinetic, graphical and equilibrium methods, are introduced in detail. Some technical problem facing quantitative analysis of receptor imaging, such as the correction for in vivo metabolism of the tracer and the radioactivity contribution from blood volume within ROI, and the estimation of the nondisplaceable ligand concentration, is also reviewed briefly

  18. 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...

  19. 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.

  20. Analysis of inter-energy competition in the age of complex energies

    Science.gov (United States)

    1989-12-01

    This is a survey report of the Japan Energy Economics Research Institute. Section 1 describes the energy industry in time of complex energies (History of changes and competition of energy sources. Formation of the energy market. Energy tax). Section 2 describes the present situation and the prospect of the competition among the energies (Present images of competition between industrial sector, civil household sector, transportation sector and the energy conversion sector. Development of the energy utilization system (cogeneration, regional air conditioning, waste heat recovery system, individual air conditioning system. Strategic meaning of the expansion of inter-energy competition market). Section 3 describes the arrangement of the fair competition conditions and the energy policy (Energy policy effect and cost. Energy industrial regulation and its abatement. Competitive energy market and fair competing conditions).

  1. 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...

  2. Hyperspectral image analysis. A tutorial

    International Nuclear Information System (INIS)

    Amigo, José Manuel; Babamoradi, Hamid; Elcoroaristizabal, 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 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.

  3. 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.

  4. Multimodality image analysis work station

    International Nuclear Information System (INIS)

    Ratib, O.; Huang, H.K.

    1989-01-01

    The goal of this project is to design and implement a PACS (picture archiving and communication system) workstation for quantitative analysis of multimodality images. The Macintosh II personal computer was selected for its friendly user interface, its popularity among the academic and medical community, and its low cost. The Macintosh operates as a stand alone workstation where images are imported from a central PACS server through a standard Ethernet network and saved on a local magnetic or optical disk. A video digitizer board allows for direct acquisition of images from sonograms or from digitized cine angiograms. The authors have focused their project on the exploration of new means of communicating quantitative data and information through the use of an interactive and symbolic user interface. The software developed includes a variety of image analysis, algorithms for digitized angiograms, sonograms, scintigraphic images, MR images, and CT scans

  5. CONTEXT BASED FOOD IMAGE ANALYSIS

    OpenAIRE

    He, Ye; Xu, Chang; Khanna, Nitin; Boushey, Carol J.; Delp, Edward J.

    2013-01-01

    We are developing a dietary assessment system that records daily food intake through the use of food images. Recognizing food in an image is difficult due to large visual variance with respect to eating or preparation conditions. This task becomes even more challenging when different foods have similar visual appearance. In this paper we propose to incorporate two types of contextual dietary information, food co-occurrence patterns and personalized learning models, in food image analysis to r...

  6. Multispectral analysis of multimodal images

    Energy Technology Data Exchange (ETDEWEB)

    Kvinnsland, Yngve; Brekke, Njaal (Dept. of Surgical Sciences, Univ. of Bergen, Bergen (Norway)); Taxt, Torfinn M.; Gruener, Renate (Dept. of Biomedicine, Univ. of Bergen, Bergen (Norway))

    2009-02-15

    An increasing number of multimodal images represent a valuable increase in available image information, but at the same time it complicates the extraction of diagnostic information across the images. Multispectral analysis (MSA) has the potential to simplify this problem substantially as unlimited number of images can be combined, and tissue properties across the images can be extracted automatically. Materials and methods. We have developed a software solution for MSA containing two algorithms for unsupervised classification, an EM-algorithm finding multinormal class descriptions and the k-means clustering algorithm, and two for supervised classification, a Bayesian classifier using multinormal class descriptions and a kNN-algorithm. The software has an efficient user interface for the creation and manipulation of class descriptions, and it has proper tools for displaying the results. Results. The software has been tested on different sets of images. One application is to segment cross-sectional images of brain tissue (T1- and T2-weighted MR images) into its main normal tissues and brain tumors. Another interesting set of images are the perfusion maps and diffusion maps, derived images from raw MR images. The software returns segmentation that seem to be sensible. Discussion. The MSA software appears to be a valuable tool for image analysis with multimodal images at hand. It readily gives a segmentation of image volumes that visually seems to be sensible. However, to really learn how to use MSA, it will be necessary to gain more insight into what tissues the different segments contain, and the upcoming work will therefore be focused on examining the tissues through for example histological sections.

  7. Adaptability of competitive electricity reforms a modular analysis

    International Nuclear Information System (INIS)

    Dubois, Ute

    2009-01-01

    Among the competitive electricity reforms that have been implemented in Europe and the US for the last 18 years, none has 'survived' over several years without major changes. Their changing nature raises the question of their adaptability. Two characteristics of reforms play a key role on their adaptation properties. Firstly, they are 'modular' objects in the sense of [Baldwin, C., 2008. Where do transactions come from? Modularity, transactions, and the boundaries of firms. Industrial and Corporate Change 17 (1), 155-195]. Secondly, they are produced in an institutional process which leads to 'incomplete' rules and designs [Pistor, K., Xu, C., 2003. Incomplete law. International Law and Politics 35, 931-1013]. We propose a typology of adaptations based on the framework proposed by [Williamson, O.E., 1991. Comparative economic organization: the analysis of discrete structural alternatives. Administrative Science Quarterly 36 (2), 269-296] for contracts: (1) in case of small disturbances, adaptations are realized quasi-automatically, by autonomous decisions of the institutions governing the implementation of reforms; (2) in case of middle-range disturbances, adaption is made by Coasian bargaining; (3) finally, in case of strong disturbances, or when bargaining is not feasible, the adaptation of reforms is in the hands of legislative and executive institutions [North, D.C., 2005. Le processus du developpement economique. Editions d'Organisation]. These institutions can reform the reforms [Joskow, P.L., 2006. Introduction to electricity sector liberalization: lessons learned from cross-country studies. In: Sioshansi, F.P. (Ed.), Electricity Market Reform: An International Perspective. Elsevier, Amsterdam, pp. 1-32; Hogan, W.W., 2002. Electricity market restructuring: reforms of reforms. Journal of Regulatory Economics 21, 103-132]. The role of these types of adaptations in each electricity reform is a consequence of the allocation of rights to the regulator, to

  8. Imaging mass spectrometry statistical analysis.

    Science.gov (United States)

    Jones, Emrys A; Deininger, Sören-Oliver; Hogendoorn, Pancras C W; Deelder, André M; McDonnell, Liam A

    2012-08-30

    Imaging mass spectrometry is increasingly used to identify new candidate biomarkers. This clinical application of imaging mass spectrometry is highly multidisciplinary: expertise in mass spectrometry is necessary to acquire high quality data, histology is required to accurately label the origin of each pixel's mass spectrum, disease biology is necessary to understand the potential meaning of the imaging mass spectrometry results, and statistics to assess the confidence of any findings. Imaging mass spectrometry data analysis is further complicated because of the unique nature of the data (within the mass spectrometry field); several of the assumptions implicit in the analysis of LC-MS/profiling datasets are not applicable to imaging. The very large size of imaging datasets and the reporting of many data analysis routines, combined with inadequate training and accessible reviews, have exacerbated this problem. In this paper we provide an accessible review of the nature of imaging data and the different strategies by which the data may be analyzed. Particular attention is paid to the assumptions of the data analysis routines to ensure that the reader is apprised of their correct usage in imaging mass spectrometry research. Copyright © 2012 Elsevier B.V. All rights reserved.

  9. UV imaging in pharmaceutical analysis

    DEFF Research Database (Denmark)

    Østergaard, Jesper

    2018-01-01

    UV imaging provides spatially and temporally resolved absorbance measurements, which are highly useful in pharmaceutical analysis. Commercial UV imaging instrumentation was originally developed as a detector for separation sciences, but the main use is in the area of in vitro dissolution...

  10. Methods in quantitative image analysis.

    Science.gov (United States)

    Oberholzer, M; Ostreicher, M; Christen, H; Brühlmann, M

    1996-05-01

    The main steps of image analysis are image capturing, image storage (compression), correcting imaging defects (e.g. non-uniform illumination, electronic-noise, glare effect), image enhancement, segmentation of objects in the image and image measurements. Digitisation is made by a camera. The most modern types include a frame-grabber, converting the analog-to-digital signal into digital (numerical) information. The numerical information consists of the grey values describing the brightness of every point within the image, named a pixel. The information is stored in bits. Eight bits are summarised in one byte. Therefore, grey values can have a value between 0 and 256 (2(8)). The human eye seems to be quite content with a display of 5-bit images (corresponding to 64 different grey values). In a digitised image, the pixel grey values can vary within regions that are uniform in the original scene: the image is noisy. The noise is mainly manifested in the background of the image. For an optimal discrimination between different objects or features in an image, uniformity of illumination in the whole image is required. These defects can be minimised by shading correction [subtraction of a background (white) image from the original image, pixel per pixel, or division of the original image by the background image]. The brightness of an image represented by its grey values can be analysed for every single pixel or for a group of pixels. The most frequently used pixel-based image descriptors are optical density, integrated optical density, the histogram of the grey values, mean grey value and entropy. The distribution of the grey values existing within an image is one of the most important characteristics of the image. However, the histogram gives no information about the texture of the image. The simplest way to improve the contrast of an image is to expand the brightness scale by spreading the histogram out to the full available range. Rules for transforming the grey value

  11. A Time Series Analysis to Asymmetric Marketing Competition Within a Market Structure

    OpenAIRE

    Francisco F. R. Ramos

    1996-01-01

    As a complementary to the existing studies of competitive market structure analysis, the present paper proposed a time series methodology to provide a more detailed picture of marketing competition in relation to competitive market structure. Two major hypotheses were tested as part of this project. First, it was found that some significant cross- lead and lag effects of marketing variables on sales between brands existed even between differents submarkets. second, it was found that high qual...

  12. 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.

  13. 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.

  14. Image formation and image analysis in electron microscopy

    International Nuclear Information System (INIS)

    Heel, M. van.

    1981-01-01

    This thesis covers various aspects of image formation and image analysis in electron microscopy. The imaging of relatively strong objects in partially coherent illumination, the coherence properties of thermionic emission sources and the detection of objects in quantum noise limited images are considered. IMAGIC, a fast, flexible and friendly image analysis software package is described. Intelligent averaging of molecular images is discussed. (C.F.)

  15. 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.

  16. Image analysis enhancement and interpretation

    International Nuclear Information System (INIS)

    Glauert, A.M.

    1978-01-01

    The necessary practical and mathematical background are provided for the analysis of an electron microscope image in order to extract the maximum amount of structural information. Instrumental methods of image enhancement are described, including the use of the energy-selecting electron microscope and the scanning transmission electron microscope. The problems of image interpretation are considered with particular reference to the limitations imposed by radiation damage and specimen thickness. A brief survey is given of the methods for producing a three-dimensional structure from a series of two-dimensional projections, although emphasis is really given on the analysis, processing and interpretation of the two-dimensional projection of a structure. (Auth.)

  17. Image Analysis of Eccentric Photorefraction

    Directory of Open Access Journals (Sweden)

    J. Dušek

    2004-01-01

    Full Text Available This article deals with image and data analysis of the recorded video-sequences of strabistic infants. It describes a unique noninvasive measuring system based on two measuring methods (position of I. Purkynje image with relation to the centre of the lens and eccentric photorefraction for infants. The whole process is divided into three steps. The aim of the first step is to obtain video sequences on our special system (Eye Movement Analyser. Image analysis of the recorded sequences is performed in order to obtain curves of basic eye reactions (accommodation and convergence. The last step is to calibrate of these curves to corresponding units (diopter and degrees of movement.

  18. Introduction to Medical Image Analysis

    DEFF Research Database (Denmark)

    Paulsen, Rasmus Reinhold; Moeslund, Thomas B.

    This book is a result of a collaboration between DTU Informatics at the Technical University of Denmark and the Laboratory of Computer Vision and Media Technology at Aalborg University. It is partly based on the book ”Image and Video Processing”, second edition by Thomas Moeslund. The aim...... 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...

  19. 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...

  20. 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.

  1. Artificial intelligence and medical imaging. Expert systems and image analysis

    International Nuclear Information System (INIS)

    Wackenheim, A.; Zoellner, G.; Horviller, S.; Jacqmain, T.

    1987-01-01

    This paper gives an overview on the existing systems for automated image analysis and interpretation in medical imaging, especially in radiology. The example of ORFEVRE, the system for the analysis of CAT-scan images of the cervical triplet (c3-c5) by image analysis and subsequent expert-system is given and discussed in detail. Possible extensions are described [fr

  2. Possibilities of fractal analysis of the competitive dynamics: Approaches and procedures

    Science.gov (United States)

    Zagornaya, T. O.; Medvedeva, M. A.; Panova, V. L.; Isaichik, K. F.; Medvedev, A. N.

    2017-11-01

    The possibilities of the fractal approach are used for the study of non-linear nature of the competitive dynamics of the market of trading intermediaries. Based on a statistical study of the functioning of retail indicators in the region, the approach to the analysis of the characteristics of the competitive behavior of market participants is developed. The authors postulate the principles of studying the dynamics of competition as a result of changes in the characteristics of the vector and the competitive behavior of market agents.

  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. 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

  5. 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.

  6. 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.

  7. The principles of analysis of competitiveness and control schemes in transport services

    Directory of Open Access Journals (Sweden)

    A. Žvirblis

    2003-04-01

    Full Text Available Under the conditions of constantly growing competition transportation companies are faced with theoretical and practical problems associated with the quality and stability of transport services, competitiveness on the market and marketing problems. Road transport services are considered in the terms of value analysis while the assessment of their competitiveness is based on the Pontriagin maximum principle. A model for transport risk analysis is constructed, taking into account the principles of correlation and co - variation of transport services. Formalized models of automated control of services in the system of marketing allowing the analysis of stability and other parameters to be made in the framework of automatic control theory are offered.

  8. Dupont Analysis of An Information Technology Enabled Competitive Advantage

    OpenAIRE

    Nustini, Yuni

    2009-01-01

    The transformation of business caused by e-business and e-commerce applications of the internet and related technologies demonstrates that information systems and information technologies are essential ingredients for business survival and success. The most often cited benefit of IT are integrating business process, increasing efficiency, sales, productivity, and competitiveness. This study is designed for determining where managers considering investment in information technology (IT) projec...

  9. Dupont Analysis of an Information Technology Enabled Competitive Advantage

    OpenAIRE

    Nustini, Yuni

    2003-01-01

    The transformation of business caused by e-business and e-commerce applications of the internet and related technologies demonstrates that information systems and information technologies are essential ingredients for business survival and success. The most often cited benefit of IT are integrating business process, increasing efficiency, sales, productivity, and competitiveness. This study is designed for determining where managers considering investment in information technology (IT) projec...

  10. CONCEPTUAL APPROACH OF COMPETITIVENESS AND INTERDEPENDENCE BETWEEN COMPETITION AND COMPETITIVENESS

    Directory of Open Access Journals (Sweden)

    Tatiana GUTIUM

    2017-11-01

    Full Text Available This article is devoted to analysis of interdependence and correlation between competition and competitiveness, and competition’s consequences. The author analysed some authors’ visions on competitiveness, and common features between theories of competition and competitiveness. Using the synthetic indicator elaborated by author has been evaluated the competitiveness of domestic goods on the internal and external market. At the end of this article, the author has developed proposals to increase competitiveness.

  11. Rapid, low-cost, image analysis through video processing

    International Nuclear Information System (INIS)

    Levinson, R.A.; Marrs, R.W.; Grantham, D.G.

    1976-01-01

    Remote Sensing now provides the data necessary to solve many resource problems. However, many of the complex image processing and analysis functions used in analysis of remotely-sensed data are accomplished using sophisticated image analysis equipment. High cost of this equipment places many of these techniques beyond the means of most users. A new, more economical, video system capable of performing complex image analysis has now been developed. This report describes the functions, components, and operation of that system. Processing capability of the new video image analysis system includes many of the tasks previously accomplished with optical projectors and digital computers. Video capabilities include: color separation, color addition/subtraction, contrast stretch, dark level adjustment, density analysis, edge enhancement, scale matching, image mixing (addition and subtraction), image ratioing, and construction of false-color composite images. Rapid input of non-digital image data, instantaneous processing and display, relatively low initial cost, and low operating cost gives the video system a competitive advantage over digital equipment. Complex pre-processing, pattern recognition, and statistical analyses must still be handled through digital computer systems. The video system at the University of Wyoming has undergone extensive testing, comparison to other systems, and has been used successfully in practical applications ranging from analysis of x-rays and thin sections to production of color composite ratios of multispectral imagery. Potential applications are discussed including uranium exploration, petroleum exploration, tectonic studies, geologic mapping, hydrology sedimentology and petrography, anthropology, and studies on vegetation and wildlife habitat

  12. 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.

  13. Evolution of strategies and competition in the international airline industry: a practical analysis using porter's competitive forces model

    OpenAIRE

    Zannoni, Niccolò

    2013-01-01

    This master thesis describes the evolution of the competition and strategies in the international airline industry. It studies the industry before and after deregulation, using the competitive forces model.

  14. A conceptual analysis of the role of competitive intelligence in Zimbabwe’s banking sector

    Directory of Open Access Journals (Sweden)

    Alexander Maune

    2014-11-01

    Full Text Available This article aims to provide a conceptual framework and analysis of the role of competitive intelligence in Zimbabwe`s banking sector. The article used literature and conceptual research approach. Literature review has shown the concept of competitive intelligence to be multidimensional, with a multitude of varying definitions, as well as multifaceted and fuzzy. The concept of competitive intelligence has been presented variously as a process, a function, a product or a mix of all three. Literature review has also shown numerous intelligence concepts that are linked to the concept of competitive intelligence. This article will increase the academic understanding and state of the concept of competitive intelligence in Zimbabwe`s banking sector as well as assisting the entire banking sector.

  15. The analysis of export commodity competitiveness in Central Java Province at period 2011-2015

    Science.gov (United States)

    Elysi, M. G.; Darsono; Riptanti, E. W.

    2018-03-01

    This study aims to determine the competitiveness of furniture export in Central Java Province Indonesia in terms of comparative and competitive advantages and to formulate the strategies to enhance the competitiveness of furniture export in Central Java Province. Descriptive analytic method was used for this research. Data used in this research are primary and secondary data. Data were analyzed using RCA (Revealed Comparative Advantage), TSI (Trade Specialization Index) and SOAR (Strength, Opportunity, Aspiration, Result). The results showed that furniture commodity in Central Java Province had strong comparative competitiveness with the value of RCA>1 and had strong competitiveness with positive index values in the range of 0 to 1. Based on SOAR analysis, strategy measures can be formulated, namely maintaining the existing and expanding targeted markets, improving product designs (innovations) and improving raw materials efficiency.

  16. 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

  17. Dynamic analysis of interhospital collaboration and competition: empirical evidence from an Italian regional health system.

    Science.gov (United States)

    Mascia, Daniele; Di Vincenzo, Fausto; Cicchetti, Americo

    2012-05-01

    Policymakers stimulate competition in universalistic health-care systems while encouraging the formation of service provision networks among hospital organizations. This article addresses a gap in the extant literature by empirically analyzing simultaneous collaboration and competition between hospitals within the Italian National Health Service, where important procompetition reforms have been implemented. To explore how rising competition between hospitals relates to their propensity to collaborate with other local providers. Longitudinal data on interhospital collaboration and competition collected in an Italian region from 2003 to 2007 are analyzed. Social network analysis techniques are applied to study the structure and dynamics of interhospital collaboration. Negative binomial regressions are employed to explore how interhospital competition relates to the collaborative network over time. Competition among providers does not hinder interhospital collaboration. Collaboration is primarily local, with resource complementarity and differentials in the volume of activity and hospital performance explaining the propensity to collaborate. Formation of collaborative networks among hospitals is not hampered by reforms aimed at fostering market forces. Because procompetition reforms elicit peculiar forms of managed competition in universalistic health systems, studies are needed to clarify whether the positive association between interhospital competition and collaboration can be generalized to other health-care settings. Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

  18. 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

  19. 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....

  20. Gas and electricity suppliers in front of the end of regulated tariffs. Market predictions and competition analysis

    International Nuclear Information System (INIS)

    2014-01-01

    This report first proposes an analysis of the gas and electricity markets between 2000 and 2014, and of their perspectives: identification of 8 determining factors to understand the market dynamics, analysis of the activity (electricity and natural gas consumption, electricity and gas distribution among sectors like agriculture, industry, housing, office building, and energy, and prices), and forecast scenario for electricity and natural gas consumption by 2017. The next part analyses the competition and its perspectives: analysis for the electricity and natural gas distribution market, discussion of dynamics and perspectives for different strategic groups. Then, the report proposes an analysis of structural brakes and drivers, and of the main markets (housing, office buildings, industries). The competition context and the involved forces are then discussed. Highlights for the sector and the evolution of supply are then addressed by outlining the improvement of commercial focus, the adaptation of supply with respect to customers, an image-based differentiation, and the development of innovating offers including solutions for energy efficiency. An overview of the competition context is then proposed with sheet providing key data for different types of operators (historical operators, alternative independent operators, foreign energy operators, local suppliers)

  1. 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....

  2. ANALYSIS OF MOTOR ABILITES OF FOOTBALL AT PLAYERS AT DIFFERENT LEVELS COMPETITION

    Directory of Open Access Journals (Sweden)

    Omer Špirtović

    2013-07-01

    Full Text Available The study was conducted on a sample of 170 respondents, players - seniors, aged 18-27 years, from areas of Montenegro. System was applied 16 variables of motor skills. Research objective was to determine the discriminatory ability of their rank accord¬ing to modalities which belong tested players (second and third league competition. Discriminant analysis results indicate that the motor variables are tested athletes in relation to the level of competition significantly different.

  3. 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...

  4. Image analysis for material characterisation

    Science.gov (United States)

    Livens, Stefan

    In this thesis, a number of image analysis methods are presented as solutions to two applications concerning the characterisation of materials. Firstly, we deal with the characterisation of corrosion images, which is handled using a multiscale texture analysis method based on wavelets. We propose a feature transformation that deals with the problem of rotation invariance. Classification is performed with a Learning Vector Quantisation neural network and with combination of outputs. In an experiment, 86,2% of the images showing either pit formation or cracking, are correctly classified. Secondly, we develop an automatic system for the characterisation of silver halide microcrystals. These are flat crystals with a triangular or hexagonal base and a thickness in the 100 to 200 nm range. A light microscope is used to image them. A novel segmentation method is proposed, which allows to separate agglomerated crystals. For the measurement of shape, the ratio between the largest and the smallest radius yields the best results. The thickness measurement is based on the interference colours that appear for light reflected at the crystals. The mean colour of different thickness populations is determined, from which a calibration curve is derived. With this, the thickness of new populations can be determined accurately.

  5. Analysis of competitive power market with constant elasticity function

    International Nuclear Information System (INIS)

    Nguyen, D.H.M.; Wong, K.P.

    2003-01-01

    A solution method, for competitive power markets formulated as a Cournot game, that allows equilibrium to be determined without an explicit model of aggregated demand is presented. The method determines market equilibrium for all feasible demand conditions and thus provides a perspective on the market, independent of representative demand function, that reveals the inherent tendencies of producers in the market. Numerical solutions are determined by use of the new controlled genetic algorithm and constraint handling techniques. The solutions give production and demand elasticity distributions of the market at any feasible equilibrium price and volume. The solution distributions evaluated for the market with unspecified demand functions, were found to be consistent with previous results obtained from markets with specific demand functions. The ability of the new approach to all, and arbitrary, solutions allow specific markets to be examined, as well as very general observations to be made. Generally it was observed that: no inherent price constraint exists; price is more volatile for low volumes and high prices; market dominance and power are unaffected by price; and inelastic demand can give rise to equilibrium with lower price than responsive demand. (Author)

  6. 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.

  7. U.S. Clean Energy Hydrogen and Fuel Cell Technologies: A Competitiveness Analysis

    Energy Technology Data Exchange (ETDEWEB)

    Fullenkamp, Patrick [Westside Industrial Retention & Expansion Network, Cleveland, OH (United States); Holody, Diane [Westside Industrial Retention & Expansion Network, Cleveland, OH (United States); James, Brian [Strategic Analysis, Inc., Arlington, VA (United States); Houchins, Cassidy [Strategic Analysis, Inc., Arlington, VA (United States); Wheeler, Douglas [DJW Technology, Dublin, OH (United States); Hart, David [E4tech, London (United Kingdom); Lehner, Franz [E4tech, London (United Kingdom)

    2017-10-10

    The objectives of this project are a 1) Global Competitiveness Analysis of hydrogen and fuel cell systems and components manufactured including 700 bar compressed hydrogen storage system in the U.S., Europe, Asia, and other key areas to be identified to determine the global cost leaders, the best current manufacturing processes, the key factors determining competitiveness, and the potential means of cost reductions; and an 2) Analysis to assess the status of global hydrogen and fuel cell markets. The analysis of units, megawatts by country and by application will focus on polymer electrolyte membrane (PEM) fuel cell systems (automotive and stationary).

  8. Planning applications in image analysis

    Science.gov (United States)

    Boddy, Mark; White, Jim; Goldman, Robert; Short, Nick, Jr.

    1994-01-01

    We describe two interim results from an ongoing effort to automate the acquisition, analysis, archiving, and distribution of satellite earth science data. Both results are applications of Artificial Intelligence planning research to the automatic generation of processing steps for image analysis tasks. First, we have constructed a linear conditional planner (CPed), used to generate conditional processing plans. Second, we have extended an existing hierarchical planning system to make use of durations, resources, and deadlines, thus supporting the automatic generation of processing steps in time and resource-constrained environments.

  9. Competitiveness of rural tourism sector in Vojvodina: The analysis of key stakeholders' attitudes

    Directory of Open Access Journals (Sweden)

    Demirović Dunja

    2017-01-01

    Full Text Available Rural tourism is considered to be one of the appropriate instruments for the revitalization of rural areas and for ensuring a sustainable future. For this reason, determining the factors that influence the improvement of the competitive position of the tourism market is of great importance for their further development. In this paper, the authors have surveyed 136 tourism experts in order to assess the current state of all factors that affect/could affect the competitiveness of rural tourism destinations in Vojvodina. Also, the analysis should show if employees of the private rural companies and others have a different view of the competitiveness of Vojvodina as a destination for rural tourism in relation to the employees at faculties/ institutes, tourist organizations, travel agencies, national and provincial institutions, as well as whether there is a statistically significant difference in the attitudes of respondents on average scores for determinants of competitiveness depending on the socio-demographic characteristics of respondents.

  10. An empirical analysis оn logistics performance and the global competitiveness

    Directory of Open Access Journals (Sweden)

    Turkay Yildiz

    2017-05-01

    Full Text Available Logistics has been identified as an area to build cost and service advantages. Therefore, companies are more focused on customer needs and trying to find ways to reduce costs, improve quality and meet the growing expectations of their clients. Indeed, the global competition has led managers to begin to address the issue of providing more efficient logistics services. In this regard, this paper presents an empirical study on logistics performance and global competitiveness. This paper also identifies the associations between logistics performances and global competitiveness. The results indicate that some variables in global competitiveness scores contribute much higher to the logistics performances than the other variables through analysis. The variables that contribute much higher than the other variables to the logistics performances are shown.

  11. Analysis of competition program "Аcrobatics" of skilled athletes in acrobatic rock and roll

    Directory of Open Access Journals (Sweden)

    Batieieva N.P.

    2013-06-01

    Full Text Available Reviewed and analyzed the results of the strongest performances of dancing couples in acrobatic rock and roll category "M-class", the competition rules of the World rock 'n' roll confederation. A comparative analysis on the requirements to perform acrobatic competition program "Acrobatics". Selected a number of acrobatic elements that make up the structure of competitive acrobatic programs. Found that a number of sports pairs allow technical errors (involuntary distortion performance techniques acrobatic element when performing acrobatic elements. Proposed grading scale acrobatic elements of the program, using methodical and special terms "related" sports. The recommendations to judges, coaches on the cost of each acrobatic element in assessing and compiling competitive program.

  12. Quantitative image analysis of synovial tissue

    NARCIS (Netherlands)

    van der Hall, Pascal O.; Kraan, Maarten C.; Tak, Paul Peter

    2007-01-01

    Quantitative image analysis is a form of imaging that includes microscopic histological quantification, video microscopy, image analysis, and image processing. Hallmarks are the generation of reliable, reproducible, and efficient measurements via strict calibration and step-by-step control of the

  13. 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.: © 2005 Elsevier Ltd . All rights reserved.

  14. 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....

  15. The null hypothesis of GSEA, and a novel statistical model for competitive gene set analysis

    DEFF Research Database (Denmark)

    Debrabant, Birgit

    2017-01-01

    MOTIVATION: Competitive gene set analysis intends to assess whether a specific set of genes is more associated with a trait than the remaining genes. However, the statistical models assumed to date to underly these methods do not enable a clear cut formulation of the competitive null hypothesis....... This is a major handicap to the interpretation of results obtained from a gene set analysis. RESULTS: This work presents a hierarchical statistical model based on the notion of dependence measures, which overcomes this problem. The two levels of the model naturally reflect the modular structure of many gene set...... analysis methods. We apply the model to show that the popular GSEA method, which recently has been claimed to test the self-contained null hypothesis, actually tests the competitive null if the weight parameter is zero. However, for this result to hold strictly, the choice of the dependence measures...

  16. Automated image analysis of uterine cervical images

    Science.gov (United States)

    Li, Wenjing; Gu, Jia; Ferris, Daron; Poirson, Allen

    2007-03-01

    Cervical Cancer is the second most common cancer among women worldwide and the leading cause of cancer mortality of women in developing countries. If detected early and treated adequately, cervical cancer can be virtually prevented. Cervical precursor lesions and invasive cancer exhibit certain morphologic features that can be identified during a visual inspection exam. Digital imaging technologies allow us to assist the physician with a Computer-Aided Diagnosis (CAD) system. In colposcopy, epithelium that turns white after application of acetic acid is called acetowhite epithelium. Acetowhite epithelium is one of the major diagnostic features observed in detecting cancer and pre-cancerous regions. Automatic extraction of acetowhite regions from cervical images has been a challenging task due to specular reflection, various illumination conditions, and most importantly, large intra-patient variation. This paper presents a multi-step acetowhite region detection system to analyze the acetowhite lesions in cervical images automatically. First, the system calibrates the color of the cervical images to be independent of screening devices. Second, the anatomy of the uterine cervix is analyzed in terms of cervix region, external os region, columnar region, and squamous region. Third, the squamous region is further analyzed and subregions based on three levels of acetowhite are identified. The extracted acetowhite regions are accompanied by color scores to indicate the different levels of acetowhite. The system has been evaluated by 40 human subjects' data and demonstrates high correlation with experts' annotations.

  17. 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

  18. 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.

  19. Canonical Correlation Analysis Between Supply Chain Quality Management And Competitive Advantages

    Directory of Open Access Journals (Sweden)

    Chaghooshi Ahmad Jafarnejad

    2015-06-01

    Full Text Available Competitive environment of today’s organizations, more than ever, is extensive, and the major concern for managers is to preserve and promote the sustainable competitive advantage. Companies have an obligation to improve their product quality and have extensive and close cooperation with other companies involved in the supply chain of products. Supply chain quality management (SCQM is a systematic approach to improve the performance that integrates supply chain partners and uses the opportunity in the best way, establish linkages between upstream and downstream flows, and investigate on creating value and satisfaction of intermediaries and final customers. Furthermore, achieving competitive advantages enables an organization to create a remarkable position in market and differentiate itself from competitors. This paper aims to understand the relationships between SCQM and competitive advantage. Sixty-eight experts of 25 companies in Sahami Alyaf (SA supply chain has been participated in this research. The research method used for this article is descriptive correlation. To assess the relationships between the criteria, canonical correlation analysis was used. The result shows that the SCQM and competitive advantages have a meaningful relationship. It also shows that most important variable in the linear combination of SCQM and competitive advantages are “customer focus and quality,” respectively.

  20. 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

  1. 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.

  2. Pay attention to the enterprise competitive intelligence analysis research promotion enterprise scientific research production and product development

    International Nuclear Information System (INIS)

    Yang Yan

    2014-01-01

    This article covers the competitive intelligence content and five characteristics, and on the American Competitive intelligence Outstanding Company's place situation, shows fully the competitive intelligence constructs the core competitive power regarding the enterprise to have the significant function, Its contribution has already hold the pivotal status in the world famous enterprise. It is an important cornerstone for enterprises which construct the core competitive power. Along with the enterprise competition environment rapid change, the competitive intelligence importance suddenly to reveal day by day. Just like the world richest family Microsoft Corporation president Bill. Gates asserted that, How to collect, How to analysis, how to manage and how to use information, lt will decide the enterprise victory and loss. And unified the enterprise scientific research production the special details, take 'To develop the SF_6 New Product' to introduce as the example how did the enterprise competition intelligence, as well as how did the information development and using in it. (author)

  3. Image Analysis for X-ray Imaging of Food

    DEFF Research Database (Denmark)

    Einarsdottir, Hildur

    for quality and safety evaluation of food products. In this effort the fields of statistics, image analysis and statistical learning are combined, to provide analytical tools for determining the aforementioned food traits. The work demonstrated includes a quantitative analysis of heat induced changes......X-ray imaging systems are increasingly used for quality and safety evaluation both within food science and production. They offer non-invasive and nondestructive penetration capabilities to image the inside of food. This thesis presents applications of a novel grating-based X-ray imaging technique...... and defect detection in food. Compared to the complex three dimensional analysis of microstructure, here two dimensional images are considered, making the method applicable for an industrial setting. The advantages obtained by grating-based imaging are compared to conventional X-ray imaging, for both foreign...

  4. The anticipatory stress response to sport competition; a systematic review with meta-analysis of cortisol reactivity.

    Science.gov (United States)

    van Paridon, Kjell N; Timmis, Matthew A; Nevison, Charlotte M; Bristow, Matt

    2017-01-01

    Athletes anticipating sport competition regularly experience distinct emotional and physiological responses as a result of the expected psychosocial and physical stress. Specifically, cortisol, an indicator of hypothalamic-pituitary-adrenal axis activation, prepares the athlete for the psychological and physiological demands of competition. The objective of this meta-analysis is to analyse the magnitude of the anticipatory cortisol response in athletes preparing to participate in sport competition and to examine the influence of gender, level of competition and data collection time. Systematic review with meta-analysis. Four electronic databases were searched to March 2017: PubMed, PsycINFO, SPORTDiscus and Scopus. (1) Athletes participating in real sport competition;(2) salivary cortisol concentration collected before competition in addition to baseline sample(s);(3) original research article published in English language. Data from 25 studies provided 27 effect sizes. A significant anticipatory cortisol response of g=0.85, pstress response. There were no significant differences between level of competition, type of sport or time of competition. Meta-regression indicated that the anticipatory cortisol response is greater when assessed closer to the start of competition (Q=6.85, p=0.009). The anticipatory cortisol response before sport competition reflects moderate cortisol reactivity that prepares athletes optimally for the demands of sport competition via the influence on cognitive processes and attentional control. However, both female athletes and international competitors did not demonstrate a significant anticipatory cortisol response, possibly due to differences in appraisal of the stress of sport competition.

  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. Environmental regulation and competitiveness. A meta-analysis of international trade studies

    Energy Technology Data Exchange (ETDEWEB)

    Mulatu, A.; Florax, R.J.G.M. [Department of Spatial Economics, Master-point and Tinbergen Institute, Vrije Universiteit, Amsterdam (Netherlands); Withagen, C.A.A.M. [Department of Economics and CentER, Tilburg University, Tilburg (Netherlands)

    2001-07-01

    The potential relationship between domestic environmental regulation and international competitiveness has evoked various speculations. The common neoclassical train of thought is that strict environmental regulation is detrimental to the competitiveness of industry, and that it induces phenomena such as ecological dumping, ecological capital flight, and regulatory 'chill' in environmental standards. A different view is that strict environmental regulation triggers industry's innovation potential, and subsequently increases its competitiveness. The impact of environmental regulation on competitiveness has been analyzed in terms of international capital movements, new firm formation, and international trade. This paper focuses on a statistically rigorous analysis of international trade studies, using a technique that is known as meta-analysis. The paper presents a statistically supported evaluation of the literature, in order to assess what the main conclusions regarding the relationship between environmental regulation and competitiveness are when it comes to studies on international trade flows. The synthesis of the literature is subsequently used to present guidelines for future primary research in this area.

  7. Environmental regulation and competitiveness. A meta-analysis of international trade studies

    International Nuclear Information System (INIS)

    Mulatu, A.; Florax, R.J.G.M.; Withagen, C.A.A.M.

    2001-01-01

    The potential relationship between domestic environmental regulation and international competitiveness has evoked various speculations. The common neoclassical train of thought is that strict environmental regulation is detrimental to the competitiveness of industry, and that it induces phenomena such as ecological dumping, ecological capital flight, and regulatory 'chill' in environmental standards. A different view is that strict environmental regulation triggers industry's innovation potential, and subsequently increases its competitiveness. The impact of environmental regulation on competitiveness has been analyzed in terms of international capital movements, new firm formation, and international trade. This paper focuses on a statistically rigorous analysis of international trade studies, using a technique that is known as meta-analysis. The paper presents a statistically supported evaluation of the literature, in order to assess what the main conclusions regarding the relationship between environmental regulation and competitiveness are when it comes to studies on international trade flows. The synthesis of the literature is subsequently used to present guidelines for future primary research in this area

  8. 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

  9. 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

  10. 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

  11. The Numerical Analysis of Monopolistically Competitive Markets: The Case of a New York Fresh Apple Packer

    OpenAIRE

    Starbird, Sterling A.; Milligan, Robert A.

    1987-01-01

    The hypothesis is adduced that in some monopolistically competitive markets a firm's demand schedule evolves faster than the firm's marketing policies can adjust. A probabilistic model of this phenomenon is introduced. The numerical analysis of a New York fresh apple packer's inventory control policies illustrates the model's usefulness.

  12. Accelerating residential PV expansion: demand analysis for competitive electricity markets

    International Nuclear Information System (INIS)

    Duke, Richard; Williams, Robert; Payne, Adam

    2005-01-01

    This article quantifies the potential market for grid-connected, residential photovoltaic (PV) electricity integrated into new homes built in the US. It complements an earlier supply-side analysis by the authors that demonstrates the potential to reduce PV module prices below $1.5/W p by scaling up existing thin-film technology in 100 MW p /yr manufacturing facilities. The present article demonstrates that, at that price, PV modules may be cost effective in 125,000 new home installations per year (0.5 GW p /yr). While this market is large enough to support multiple scaled up thin-film PV factories, inefficient energy pricing and demand-side market failures will inhibit prospective PV consumers without strong public policy support. Net metering rules, already implemented in many states to encourage PV market launch, represent a crude but reasonable surrogate for efficient electricity pricing mechanisms that may ultimately emerge to internalize the externality benefits of PV. These public benefits include reduced air pollution damages (estimated costs of damage to human health from fossil fuel power plants are presented in Appendix A), deferral of transmission and distribution capital expenditures, reduced exposure to fossil fuel price risks, and increased electricity system reliability for end users. Thus, net metering for PV ought to be implemented as broadly as possible and sustained until efficient pricing is in place. Complementary PV 'buydowns' (e.g., a renewable portfolio standard with a specific PV requirement) are needed to jumpstart regional PV markets

  13. Ultrasonic image analysis and image-guided interventions.

    Science.gov (United States)

    Noble, J Alison; Navab, Nassir; Becher, H

    2011-08-06

    The fields of medical image analysis and computer-aided interventions deal with reducing the large volume of digital images (X-ray, computed tomography, magnetic resonance imaging (MRI), positron emission tomography and ultrasound (US)) to more meaningful clinical information using software algorithms. US is a core imaging modality employed in these areas, both in its own right and used in conjunction with the other imaging modalities. It is receiving increased interest owing to the recent introduction of three-dimensional US, significant improvements in US image quality, and better understanding of how to design algorithms which exploit the unique strengths and properties of this real-time imaging modality. This article reviews the current state of art in US image analysis and its application in image-guided interventions. The article concludes by giving a perspective from clinical cardiology which is one of the most advanced areas of clinical application of US image analysis and describing some probable future trends in this important area of ultrasonic imaging research.

  14. Analysis of radiological characteristics distribution in the vertebral bodies of the lumbosacral spine of competitive rowers

    Directory of Open Access Journals (Sweden)

    M.B. Ogurkowska

    2010-09-01

    Full Text Available Unfavorable biomechanical situations, usually related to the performance of a profession and competitive sports practice, promote formation of overloads. This problem may be particularly perceptible among sportsmen that practice strength and stamina sports. The present study deals with rowing. The purpose of this study is to evaluate the degree of degenerative changes of the lumbosacral spine in competitive rowers, on the basis of an analysis of changes in the cancellous structure of vertebral bodies. This has been achieved on the basis of radiological density acquired from a CT test.

  15. Electricity prices in a competitive market: a preliminary analysis of the deregulated Thai electricity industry

    International Nuclear Information System (INIS)

    Pipattanasomporn, M.; Ongsakul, W.; Pacudan, R.; Lefevre, T.

    2000-01-01

    The electricity industry throughout the world is currently undergoing a significant transition towards restructuring and deregulation. Following this new legislation, Thailand has initiated an institutional and structural reform with a belief that this could be the best way forward for the Thai electricity supply industry (ESI) to improve efficiency, lower electricity prices, and tackle financial debts. This paper presents an analysis of the extent to which prices for generation services in a competitive market may differ from regulated electricity prices, if competitive prices are based on marginal costs and regulated prices are based on average costs, by using Thailand as a case study. (Author)

  16. 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.

  17. Improving Measurement of Trait Competitiveness: A Rasch Analysis of the Revised Competitiveness Index With Samples From New Zealand and US University Students.

    Science.gov (United States)

    Krägeloh, Christian U; Medvedev, Oleg N; Hill, Erin M; Webster, Craig S; Booth, Roger J; Henning, Marcus A

    2018-01-01

    Measuring competitiveness is necessary to fully understand variables affecting student learning. The 14-item Revised Competitiveness Index has become a widely used measure to assess trait competitiveness. The current study reports on a Rasch analysis to investigate the psychometric properties of the Revised Competitiveness Index and to improve its precision for international comparisons. Students were recruited from medical studies at a university in New Zealand, undergraduate health sciences courses at another New Zealand university, and a psychology undergraduate class at a university in the United States. Rasch model estimate parameters were affected by local dependency and item misfit. Best fit to the Rasch model (χ 2 (20) = 15.86, p = .73, person separation index = .95) was obtained for the Enjoyment of Competition subscale after combining locally dependent items into a subtest and discarding the highly misfitting Item 9. The only modifications required to obtain a suitable fit (χ 2 (25) = 25.81, p = .42, person separation index = .77) for the Contentiousness subscale were a subtest to combine two locally dependent items and splitting this subtest by country to deal with differential item functioning. The results support reliability and internal construct validity of the modified Revised Competitiveness Index. Precision of the measure may be enhanced using the ordinal-to-interval conversion algorithms presented here, allowing the use of parametric statistics without breaking fundamental statistical assumptions.

  18. Vaccine Images on Twitter: Analysis of What Images are Shared.

    Science.gov (United States)

    Chen, Tao; Dredze, Mark

    2018-04-03

    Visual imagery plays a key role in health communication; however, there is little understanding of what aspects of vaccine-related images make them effective communication aids. Twitter, a popular venue for discussions related to vaccination, provides numerous images that are shared with tweets. The objectives of this study were to understand how images are used in vaccine-related tweets and provide guidance with respect to the characteristics of vaccine-related images that correlate with the higher likelihood of being retweeted. We collected more than one million vaccine image messages from Twitter and characterized various properties of these images using automated image analytics. We fit a logistic regression model to predict whether or not a vaccine image tweet was retweeted, thus identifying characteristics that correlate with a higher likelihood of being shared. For comparison, we built similar models for the sharing of vaccine news on Facebook and for general image tweets. Most vaccine-related images are duplicates (125,916/237,478; 53.02%) or taken from other sources, not necessarily created by the author of the tweet. Almost half of the images contain embedded text, and many include images of people and syringes. The visual content is highly correlated with a tweet's textual topics. Vaccine image tweets are twice as likely to be shared as nonimage tweets. The sentiment of an image and the objects shown in the image were the predictive factors in determining whether an image was retweeted. We are the first to study vaccine images on Twitter. Our findings suggest future directions for the study and use of vaccine imagery and may inform communication strategies around vaccination. Furthermore, our study demonstrates an effective study methodology for image analysis. ©Tao Chen, Mark Dredze. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 03.04.2018.

  19. Vaccine Images on Twitter: Analysis of What Images are Shared

    Science.gov (United States)

    Dredze, Mark

    2018-01-01

    Background Visual imagery plays a key role in health communication; however, there is little understanding of what aspects of vaccine-related images make them effective communication aids. Twitter, a popular venue for discussions related to vaccination, provides numerous images that are shared with tweets. Objective The objectives of this study were to understand how images are used in vaccine-related tweets and provide guidance with respect to the characteristics of vaccine-related images that correlate with the higher likelihood of being retweeted. Methods We collected more than one million vaccine image messages from Twitter and characterized various properties of these images using automated image analytics. We fit a logistic regression model to predict whether or not a vaccine image tweet was retweeted, thus identifying characteristics that correlate with a higher likelihood of being shared. For comparison, we built similar models for the sharing of vaccine news on Facebook and for general image tweets. Results Most vaccine-related images are duplicates (125,916/237,478; 53.02%) or taken from other sources, not necessarily created by the author of the tweet. Almost half of the images contain embedded text, and many include images of people and syringes. The visual content is highly correlated with a tweet’s textual topics. Vaccine image tweets are twice as likely to be shared as nonimage tweets. The sentiment of an image and the objects shown in the image were the predictive factors in determining whether an image was retweeted. Conclusions We are the first to study vaccine images on Twitter. Our findings suggest future directions for the study and use of vaccine imagery and may inform communication strategies around vaccination. Furthermore, our study demonstrates an effective study methodology for image analysis. PMID:29615386

  20. 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.

  1. Analysis of competition and market power in the wholesale electricity market in India

    International Nuclear Information System (INIS)

    Shukla, Umesh Kumar; Thampy, Ashok

    2011-01-01

    The electricity reforms were initiated in India with the objective of promoting competition in the electricity market. In order to promote competition, the Electricity Act 2003 was enacted and various policy initiatives were taken by the Government of India. Central Electricity Regulatory Commission (CERC) also facilitated competition through the regulatory framework of availability based tariff, Indian Electricity Grid Code, open access in inter-state transmission, inter-state trading and power exchanges. Despite these initiatives, electricity prices increased in the Wholesale Electricity Market in India (WEMI). This paper analyses the market structure and competitiveness in the WEMI. There are, of course, various potential reasons for the rise in the electricity price. This paper seeks to investigate, if market power was one of the reasons for increase in market prices. Concentration ratio, Herfindahl-Hirschman index, Supply Margin Assessment, and Residual Supply Index have been used to measure market power. This paper also uses the price-cost mark-up to examine, if exercise of market power led to higher margins. The analysis suggests that market power of firms may be part of the reason for the increase in electricity prices in WEMI. The study suggests various measures to increase competition in the WEMI.

  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. Introduction to the Multifractal Analysis of Images

    OpenAIRE

    Lévy Véhel , Jacques

    1998-01-01

    International audience; After a brief review of some classical approaches in image segmentation, the basics of multifractal theory and its application to image analysis are presented. Practical methods for multifractal spectrum estimation are discussed and some experimental results are given.

  4. Tolerance analysis through computational imaging simulations

    Science.gov (United States)

    Birch, Gabriel C.; LaCasse, Charles F.; Stubbs, Jaclynn J.; Dagel, Amber L.; Bradley, Jon

    2017-11-01

    The modeling and simulation of non-traditional imaging systems require holistic consideration of the end-to-end system. We demonstrate this approach through a tolerance analysis of a random scattering lensless imaging system.

  5. Analysis of the Competitive Potential of Bioethanol in Colombia: An approach from Michael Porter's 5 Competitive Forces

    International Nuclear Information System (INIS)

    Ramirez Velasquez, Alejandro; Montoya R, Ivan Alonso; Montoya Restrepo, Alexandra

    2012-01-01

    The search for alternative energy production and consumption require a look into the industry of biofuels such as bioethanol as an alternative energy to overcome the disadvantages generated by the traditional methods of production and consumption, especially in the political, environmental and social issues and generate competitive advantages compared to other primary energy sources. In the present document, and from the Michael Porter five (5) Forces model is detailed an evaluation of the bioethanol industry as an alternative fuel and is described how attractive or competitive may become the industry today. To achieve this purpose, an evaluation of the competitive forces was proposed to a group of experts, using a Likert scale. Thus, it was evaluated the potential usefulness of the proposal.

  6. Similarity analysis between quantum images

    Science.gov (United States)

    Zhou, Ri-Gui; Liu, XingAo; Zhu, Changming; Wei, Lai; Zhang, Xiafen; Ian, Hou

    2018-06-01

    Similarity analyses between quantum images are so essential in quantum image processing that it provides fundamental research for the other fields, such as quantum image matching, quantum pattern recognition. In this paper, a quantum scheme based on a novel quantum image representation and quantum amplitude amplification algorithm is proposed. At the end of the paper, three examples and simulation experiments show that the measurement result must be 0 when two images are same, and the measurement result has high probability of being 1 when two images are different.

  7. 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.

  8. Comparison Analysis and Evaluation of Urban Competitiveness in Chinese Urban Clusters

    Directory of Open Access Journals (Sweden)

    Haixiang Guo

    2015-04-01

    Full Text Available With accelerating urbanization, urban competitiveness has become a worldwide academic focus. Previous studies always focused on economic factors but ignored social elements when measuring urban competitiveness. In this paper, a city was considered as a whole containing different units such as departments, individuals and economic activities, which interact with each other and affect its economic operation. Moreover, a city’s development was compared to an object’s movement, and the components were compared to different forces acting upon the object. With the analysis of the principle of object movement, this study has established a more scientific evaluation index system that involves 4 subsystems, 12 elements and 58 indexes. By using the TOPSIS method, the study has worked out the urban competitiveness of 141 cities from 28 Chinese urban clusters in 2009. According to the calculation results, these cities were divided into four levels: A, B, C, D. Furthermore, in order to analyze the competitiveness of cities and urban clusters, cities and urban clusters have been divided into four groups according to their distributive characteristics: the southeast, the northeast and Bohai Rim, the central region and the west. Suggestions and recommendations for each group are provided based on careful analysis.

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

    International Nuclear Information System (INIS)

    Wang Xin; Li Ji Feng; Zhang Yaxiong

    2011-01-01

    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 2 ) may necessitate compensatory measures to certain highly affected industries, and that a low tax rate (10 yuan/t CO 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 2 ) may require compensatory measures to certain industries. → A low rate (10 yuan/t CO 2 ) would generate few competitiveness problems.

  10. Did residential electricity rates fall after retail competition? A dynamic panel analysis

    International Nuclear Information System (INIS)

    Swadley, Adam; Yücel, Mine

    2011-01-01

    A key selling point for the restructuring of electricity markets was the promise of lower prices. There is not much consensus in earlier studies on the effects of electricity deregulation in the U.S., particularly for residential customers. Part of the reason for not finding a consistent link with deregulation and lower prices was that the removal of transitional price caps led to higher prices. In addition, the timing of the removal of price caps coincided with rising fuel prices, which were passed on to consumers in a competitive market. Using a dynamic panel model, we analyze the effect of participation rates, fuel costs, market size, a rate cap and switch to competition for 16 states and the District of Columbia. We find that an increase in participation rates, price controls, a larger market, and high shares of hydro in electricity generation lower retail prices, while increases in natural gas and coal prices increase rates. We also find that retail competition makes the market more efficient by lowering the markup of retail prices over wholesale costs. The effects of a competitive retail electricity market are mixed across states, but generally appear to lower prices in states with high participation rates. - Highlights: ► We analyze the effects of retail competition in electricity markets on residential retail prices. ► Analysis carried out using a dynamic panel model; monthly data for 17 U.S. states. ► More customer participation and larger market lead to lower prices. ► Higher fuel costs increase retail prices, but with a lag. ► Retail competition leads to a more efficient electricity market.

  11. Biofuels in Spain: Market penetration analysis and competitiveness in the automotive fuel market

    International Nuclear Information System (INIS)

    Sobrino, Fernando Hernandez; Monroy, Carlos Rodriguez; Perez, Jose Luis Hernandez

    2010-01-01

    For several years the European Union (E.U.) has been promoting the use of biofuels due to their potential benefits such as the reduction of dependence on foreign energy imports (the raw materials can be produced within the E.U.), the more stable fossil fuel prices (they can replace fossil fuels on the market), the greenhouse gas (GHG) reduction (biofuels' raw materials fix CO 2 from the atmosphere) and the fact that they can represent an additional source of income for the primary sector (biofuels' raw materials are vegetables that can be grown and harvested). Despite the public aids (direct and indirect), biofuels are not competitive with fossil fuels at present, but it is possible that in the future the environment conditions change and biofuels might become competitive. It is difficult to assess whether this will happen or not, but it is possible to make an assessment of a future situation. This article presents two analyses with one objective: to determine if biofuels might become competitive in the future. The first analysis examines the dependencies of two quotations which have a strong relationship with fuels: the crude oil quotation and the CO 2 bond quotation. The analysis of these relationships may help to forecast the future competitiveness of biofuels. For instance, biofuels' future competitiveness will be higher if their raw material costs are not related to crude oil quotations or if they are related in a negative way (the higher the crude oil quotations the lower the raw material biofuels' cost). The second analysis focuses on the market penetration of biofuels in the Spanish market. There are data related to biofuels monthly consumption in Spain since 2007 and it is possible to know if biofuels are gaining market quota since then. (author)

  12. Biofuels in Spain: Market penetration analysis and competitiveness in the automotive fuel market

    Energy Technology Data Exchange (ETDEWEB)

    Sobrino, Fernando Hernandez; Monroy, Carlos Rodriguez [Department of Business Administration, School of Industrial Engineering, Universidad Politecnica de Madrid, Jose Gutierrez Abascal 2, 28006 Madrid (Spain); Perez, Jose Luis Hernandez [High School Chemistry Teacher, Madrid (Spain)

    2010-12-15

    For several years the European Union (E.U.) has been promoting the use of biofuels due to their potential benefits such as the reduction of dependence on foreign energy imports (the raw materials can be produced within the E.U.), the more stable fossil fuel prices (they can replace fossil fuels on the market), the greenhouse gas (GHG) reduction (biofuels' raw materials fix CO{sub 2} from the atmosphere) and the fact that they can represent an additional source of income for the primary sector (biofuels' raw materials are vegetables that can be grown and harvested). Despite the public aids (direct and indirect), biofuels are not competitive with fossil fuels at present, but it is possible that in the future the environment conditions change and biofuels might become competitive. It is difficult to assess whether this will happen or not, but it is possible to make an assessment of a future situation. This article presents two analyses with one objective: to determine if biofuels might become competitive in the future. The first analysis examines the dependencies of two quotations which have a strong relationship with fuels: the crude oil quotation and the CO{sub 2} bond quotation. The analysis of these relationships may help to forecast the future competitiveness of biofuels. For instance, biofuels' future competitiveness will be higher if their raw material costs are not related to crude oil quotations or if they are related in a negative way (the higher the crude oil quotations the lower the raw material biofuels' cost). The second analysis focuses on the market penetration of biofuels in the Spanish market. There are data related to biofuels monthly consumption in Spain since 2007 and it is possible to know if biofuels are gaining market quota since then. (author)

  13. 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.

  14. The Revealed Competitiveness of Major Ports in the East Asian Region: An Additive Market Share Analysis

    Directory of Open Access Journals (Sweden)

    Tae Seung Kim

    2015-12-01

    Full Text Available In the single cargo market, the ordinary market share analysis method has been the representative tool for revealed competitiveness analysis. This paper develops and employs an applied market share index called the additive market share (AMS. Data are collected from 15 major container ports for the 1998-2013 period. In comparison to the results of an ordinary market share analysis, the highest AMS is observed for the Bohai Rim port cluster from 2008, not for the Yangtze River cluster or the Pearl River cluster. There are substitutable relationships between Yangtze River and non-Chinese ports and between Pearl River and Bohai Rim ports from 2001. Finally, there is an internal competition at Pearl River and Yangtze River ports, whereas Bohai Rim and non-Chinese ports show internally complementary relationships.

  15. The trajectories of EAEC countries development: Numerical analysis of competitive strategies in investments

    Science.gov (United States)

    Shelomentsev, A. G.; Medvedev, M. A.; Isaichik, K. F.; Dyomina, M. I.; Berg, I. A.; Kit, M.

    2017-12-01

    This paper discusses comparative analysis of trajectories in the development of participating countries of the Eurasian Economic Union (EAEC) in a two-dimensional phase space. The coordinates in the space is represented by the value of a dynamic variable that is a key indicator of the country's development, and the rate of its relative growth. This allows for construction of a ternary classification diagram describing competitive behavior strategies of countries in question. The comparative analysis was run for two primary factors: the size of investment in the main capital and R&D spendings. The authors carried out analysis and identification of competitive strategies for the behavior of the EAEC countries, as well as he proposed conclusions and recommendations on improving the policy of economic development.

  16. Analysis of Spain´s competitiveness in the European tomato market: An application of the Constant Market Share method

    Energy Technology Data Exchange (ETDEWEB)

    Capobianco-Uriarte, M.; Aparicio, J.; Pablo-Valenciano, J. de

    2017-07-01

    This paper presents a quantitative analysis of the competitiveness of Spanish tomato export compared with its major competitors in the European Union market countries (EU28). The methodological framework is implemented through Constant Market Share to analyze variations in exports, allowing the portion attributable to competitiveness and segregation into general or specific competitiveness to be quantified. This analysis was carried out with the 2005-2009 and 2010-2014 periods to see if there had been a recovery from the global financial and economic crisis of 2007 in the Spanish tomato trade. Before the global economic and financial crisis, Spain had a positive structural effect of exports which contributed significantly to the growth of tomato sales to the EU, but had a negative change in the volume of exports to the EU28, mainly due to the negative effect of the competitiveness component. According to the segregation effect of competitiveness, a marked general negative competitive effect was evident, that cannot be offset by the positive effect of specific competitiveness. Since 2010, Spain has experienced a positive change in the volume of its tomato exports to the EU28, the competitiveness component also being positive, due to positive investment of the component of general competitiveness and whose greatest contribution was the positive effect of specific competitiveness. Within the group of competitors, Spain is the only country supplying tomatoes to the EU28 that has experienced a positive change in volume when comparing business performance of 2010-2014 vs 2005-2009.

  17. Analysis of Spain´s competitiveness in the European tomato market: An application of the Constant Market Share method

    Directory of Open Access Journals (Sweden)

    Mercedes Capobianco-Uriarte

    2017-12-01

    Full Text Available This paper presents a quantitative analysis of the competitiveness of Spanish tomato export compared with its major competitors in the European Union market countries (EU28. The methodological framework is implemented through Constant Market Share to analyze variations in exports, allowing the portion attributable to competitiveness and segregation into general or specific competitiveness to be quantified. This analysis was carried out with the 2005-2009 and 2010-2014 periods to see if there had been a recovery from the global financial and economic crisis of 2007 in the Spanish tomato trade. Before the global economic and financial crisis, Spain had a positive structural effect of exports which contributed significantly to the growth of tomato sales to the EU, but had a negative change in the volume of exports to the EU28, mainly due to the negative effect of the competitiveness component. According to the segregation effect of competitiveness, a marked general negative competitive effect was evident, that cannot be offset by the positive effect of specific competitiveness. Since 2010, Spain has experienced a positive change in the volume of its tomato exports to the EU28, the competitiveness component also being positive, due to positive investment of the component of general competitiveness and whose greatest contribution was the positive effect of specific competitiveness. Within the group of competitors, Spain is the only country supplying tomatoes to the EU28 that has experienced a positive change in volume when comparing business performance of 2010-2014 vs 2005-2009.

  18. Analysis of Spain´s competitiveness in the European tomato market: An application of the Constant Market Share method

    International Nuclear Information System (INIS)

    Capobianco-Uriarte, M.; Aparicio, J.; Pablo-Valenciano, J. de

    2017-01-01

    This paper presents a quantitative analysis of the competitiveness of Spanish tomato export compared with its major competitors in the European Union market countries (EU28). The methodological framework is implemented through Constant Market Share to analyze variations in exports, allowing the portion attributable to competitiveness and segregation into general or specific competitiveness to be quantified. This analysis was carried out with the 2005-2009 and 2010-2014 periods to see if there had been a recovery from the global financial and economic crisis of 2007 in the Spanish tomato trade. Before the global economic and financial crisis, Spain had a positive structural effect of exports which contributed significantly to the growth of tomato sales to the EU, but had a negative change in the volume of exports to the EU28, mainly due to the negative effect of the competitiveness component. According to the segregation effect of competitiveness, a marked general negative competitive effect was evident, that cannot be offset by the positive effect of specific competitiveness. Since 2010, Spain has experienced a positive change in the volume of its tomato exports to the EU28, the competitiveness component also being positive, due to positive investment of the component of general competitiveness and whose greatest contribution was the positive effect of specific competitiveness. Within the group of competitors, Spain is the only country supplying tomatoes to the EU28 that has experienced a positive change in volume when comparing business performance of 2010-2014 vs 2005-2009.

  19. Image registration with uncertainty analysis

    Science.gov (United States)

    Simonson, Katherine M [Cedar Crest, NM

    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.

  20. Transfer function analysis of radiographic imaging systems

    International Nuclear Information System (INIS)

    Metz, C.E.; Doi, K.

    1979-01-01

    The theoretical and experimental aspects of the techniques of transfer function analysis used in radiographic imaging systems are reviewed. The mathematical principles of transfer function analysis are developed for linear, shift-invariant imaging systems, for the relation between object and image and for the image due to a sinusoidal plane wave object. The other basic mathematical principle discussed is 'Fourier analysis' and its application to an input function. Other aspects of transfer function analysis included are alternative expressions for the 'optical transfer function' of imaging systems and expressions are derived for both serial and parallel transfer image sub-systems. The applications of transfer function analysis to radiographic imaging systems are discussed in relation to the linearisation of the radiographic imaging system, the object, the geometrical unsharpness, the screen-film system unsharpness, other unsharpness effects and finally noise analysis. It is concluded that extensive theoretical, computer simulation and experimental studies have demonstrated that the techniques of transfer function analysis provide an accurate and reliable means for predicting and understanding the effects of various radiographic imaging system components in most practical diagnostic medical imaging situations. (U.K.)

  1. Microscopy image segmentation tool: Robust image data analysis

    Energy Technology Data Exchange (ETDEWEB)

    Valmianski, Ilya, E-mail: ivalmian@ucsd.edu; Monton, Carlos; Schuller, Ivan K. [Department of Physics and Center for Advanced Nanoscience, University of California San Diego, 9500 Gilman Drive, La Jolla, California 92093 (United States)

    2014-03-15

    We present a software package called Microscopy Image Segmentation Tool (MIST). MIST is designed for analysis of microscopy images which contain large collections of small regions of interest (ROIs). Originally developed for analysis of porous anodic alumina scanning electron images, MIST capabilities have been expanded to allow use in a large variety of problems including analysis of biological tissue, inorganic and organic film grain structure, as well as nano- and meso-scopic structures. MIST provides a robust segmentation algorithm for the ROIs, includes many useful analysis capabilities, and is highly flexible allowing incorporation of specialized user developed analysis. We describe the unique advantages MIST has over existing analysis software. In addition, we present a number of diverse applications to scanning electron microscopy, atomic force microscopy, magnetic force microscopy, scanning tunneling microscopy, and fluorescent confocal laser scanning microscopy.

  2. Microscopy image segmentation tool: Robust image data analysis

    Science.gov (United States)

    Valmianski, Ilya; Monton, Carlos; Schuller, Ivan K.

    2014-03-01

    We present a software package called Microscopy Image Segmentation Tool (MIST). MIST is designed for analysis of microscopy images which contain large collections of small regions of interest (ROIs). Originally developed for analysis of porous anodic alumina scanning electron images, MIST capabilities have been expanded to allow use in a large variety of problems including analysis of biological tissue, inorganic and organic film grain structure, as well as nano- and meso-scopic structures. MIST provides a robust segmentation algorithm for the ROIs, includes many useful analysis capabilities, and is highly flexible allowing incorporation of specialized user developed analysis. We describe the unique advantages MIST has over existing analysis software. In addition, we present a number of diverse applications to scanning electron microscopy, atomic force microscopy, magnetic force microscopy, scanning tunneling microscopy, and fluorescent confocal laser scanning microscopy.

  3. Microscopy image segmentation tool: Robust image data analysis

    International Nuclear Information System (INIS)

    Valmianski, Ilya; Monton, Carlos; Schuller, Ivan K.

    2014-01-01

    We present a software package called Microscopy Image Segmentation Tool (MIST). MIST is designed for analysis of microscopy images which contain large collections of small regions of interest (ROIs). Originally developed for analysis of porous anodic alumina scanning electron images, MIST capabilities have been expanded to allow use in a large variety of problems including analysis of biological tissue, inorganic and organic film grain structure, as well as nano- and meso-scopic structures. MIST provides a robust segmentation algorithm for the ROIs, includes many useful analysis capabilities, and is highly flexible allowing incorporation of specialized user developed analysis. We describe the unique advantages MIST has over existing analysis software. In addition, we present a number of diverse applications to scanning electron microscopy, atomic force microscopy, magnetic force microscopy, scanning tunneling microscopy, and fluorescent confocal laser scanning microscopy

  4. Proposal for a model for competitiveness analysis in environmental sustainability in automotive segment companies

    Directory of Open Access Journals (Sweden)

    Luís Henrique Rodrigues

    2018-06-01

    Full Text Available The competitive landscape for companies has been changing over time, featuring an increase in competitiveness in cost, quality, reliability, agility and more recently by a concern for environmental and social factors. This work aims to propose an exploratory analysis model to evaluate companies’ sustainability competitiveness. The model proposes the grouping of companies into clusters, ranking them according to the adoption of lean manufacturing practices, environmental management and human resources, and allocating them into quadrants according to the higher or lower production of waste in their manufacturing processes. The adherence to the model is made with a sample of automotive segment companies (auto parts and motor vehicle manufacturers. The work is classified as one of a practical nature, exploratory, qualitative, and using the survey method. The conclusion that 37.5% of auto parts companies are grouped into clusters that lead to the reduction of waste, with practices in lean manufacturing and environmental management which adjust to competitive factors in the sustainability of motor vehicle manufacturers, is noteworthy.

  5. 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.

  6. Information granules in image histogram analysis.

    Science.gov (United States)

    Wieclawek, Wojciech

    2018-04-01

    A concept of granular computing employed in intensity-based image enhancement is discussed. First, a weighted granular computing idea is introduced. Then, the implementation of this term in the image processing area is presented. Finally, multidimensional granular histogram analysis is introduced. The proposed approach is dedicated to digital images, especially to medical images acquired by Computed Tomography (CT). As the histogram equalization approach, this method is based on image histogram analysis. Yet, unlike the histogram equalization technique, it works on a selected range of the pixel intensity and is controlled by two parameters. Performance is tested on anonymous clinical CT series. Copyright © 2017 Elsevier Ltd. All rights reserved.

  7. An Analysis of the Tourist Competitiveness in Switzerland, the United States and Romania

    Directory of Open Access Journals (Sweden)

    Georgiana Daniela BĂDICU

    2016-12-01

    Full Text Available Tourism is a social phenomenon specific of man, known even since times out of mind, and it has recorded a rapid growth lately. At present, tourist products are designed to be able to meet every need and desire of all the consumers from everywhere. The present paper, “An analysis of the tourist competitiveness in Switzerland, the United States and Romania”, is trying to highlight the similarities and the differences of tourist potential between the three countries under analysis: Switzerland, the United States of America and Romania, study the tourist competitiveness of the countries mentioned, and analyze a series of indicators pertaining to the three forms of tourist circulation: international inbound tourism, internal tourism and international outbound tourism.

  8. Analysis of 3-D images

    Science.gov (United States)

    Wani, M. Arif; Batchelor, Bruce G.

    1992-03-01

    Deriving generalized representation of 3-D objects for analysis and recognition is a very difficult task. Three types of representations based on type of an object is used in this paper. Objects which have well-defined geometrical shapes are segmented by using a fast edge region based segmentation technique. The segmented image is represented by plan and elevation of each part of the object if the object parts are symmetrical about their central axis. The plan and elevation concept enables representing and analyzing such objects quickly and efficiently. The second type of representation is used for objects having parts which are not symmetrical about their central axis. The segmented surface patches of such objects are represented by the 3-D boundary and the surface features of each segmented surface. Finally, the third type of representation is used for objects which don't have well-defined geometrical shapes (for example a loaf of bread). These objects are represented and analyzed from its features which are derived using a multiscale contour based technique. Anisotropic Gaussian smoothing technique is introduced to segment the contours at various scales of smoothing. A new merging technique is used which enables getting the current best estimate of break points at each scale. This new technique enables elimination of loss of accuracy of localization effects at coarser scales without using scale space tracking approach.

  9. Analysis of competition and concentration in the confectionery products market in Serbia

    OpenAIRE

    Lončar, Dragan; Rajičić, Vesna

    2011-01-01

    Confectionery products make up a significant part of the consumer basket, which makes them a strategically important segment of the consumer standard in Serbia. Hence the authors' interest in the domains of market concentration and antitrust regulation of this industry. The aim of this paper is to present the current status and trends in the confectionery products market, to define the methodological framework and to perform an analysis of competition and market concentration. The methodology...

  10. COMPETITIVENESS OF NIGERIAN RICE AND MAIZE PRODUCTION ECOLOGIES: A POLICY ANALYSIS APPROACH

    OpenAIRE

    Victor Olusegun Okoruwa

    2011-01-01

    The Nigerian rice and maize sectors are faced with decreasing supply and increasing demand as rice and maize have taken a strategic place of other staples leading to excessive importation and increasing government intervention. This study therefore assesses the competitiveness of Nigerian rice and maize production ecologies using the policy analysis matrix (PAM) on a sample of 122 farmers. Results of the PAM revealed that outputs from the production ecologies are taxed. This is further confir...

  11. 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.

  12. 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.

  13. Applications of stochastic geometry in image analysis

    NARCIS (Netherlands)

    Lieshout, van M.N.M.; Kendall, W.S.; Molchanov, I.S.

    2009-01-01

    A discussion is given of various stochastic geometry models (random fields, sequential object processes, polygonal field models) which can be used in intermediate and high-level image analysis. Two examples are presented of actual image analysis problems (motion tracking in video,

  14. Kinematics analysis of ankle inversion ligamentous sprain injuries in sports: five cases from televised tennis competitions.

    Science.gov (United States)

    Fong, Daniel Tik-Pui; Ha, Sophia Chui-Wai; Mok, Kam-Ming; Chan, Christie Wing-Long; Chan, Kai-Ming

    2012-11-01

    Ankle ligamentous sprain is common in sports. The most direct way to study the mechanism quantitatively is to study real injury cases; however, it is unethical and impractical to produce an injury in the laboratory. A recently developed, model-based image-matching motion analysis technique allows quantitative analysis of real injury incidents captured in televised events and gives important knowledge for the development of injury prevention protocols and equipment. To date, there have been only 4 reported cases, and there is a need to conduct more studies for a better understanding of the mechanism of ankle ligamentous sprain injury. This study presents 5 cases in tennis and a comparison with 4 previous cases for a better understanding of the mechanism of ankle ligamentous sprain injury. Case series; level of evidence, 4. Five sets of videos showing ankle sprain injuries in televised tennis competition with 2 camera views were collected. The videos were transformed, synchronized, and rendered to a 3-dimensional animation software. The dimensions of the tennis court in each case were obtained to build a virtual environment, and a skeleton model scaled to the injured athlete's height was used for the skeleton matching. Foot strike was determined visually, and the profiles of the ankle joint kinematics were individually presented. There was a pattern of sudden inversion and internal rotation at the ankle joint, with the peak values ranging from 48°-126° and 35°-99°, respectively. In the sagittal plane, the ankle joint fluctuated between plantar flexion and dorsiflexion within the first 0.50 seconds after foot strike. The peak inversion velocity ranged from 509 to 1488 deg/sec. Internal rotation at the ankle joint could be one of the causes of ankle inversion sprain injury, with a slightly inverted ankle joint orientation at landing as the inciting event. To prevent the foot from rolling over the edge to cause a sprain injury, tennis players who do lots of sideward

  15. 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

  16. 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.

  17. 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

  18. Overuse injuries of the upper extremity in the competitive athlete: magnetic resonance imaging findings associated with repetitive trauma.

    Science.gov (United States)

    Banks, Kevin P; Ly, Justin Q; Beall, Douglas P; Grayson, David E; Bancroft, Laura W; Tall, Michael A

    2005-01-01

    Overuse injuries are a very common cause of pain in athletes, accounting for a significant loss of training time and missed competitions. Magnetic resonance imaging (MRI) is playing an increasing role in facilitating the expeditious and safe return of these individuals to their preinjury level of physical performance by allowing accurate diagnosis. Sports physicians are increasingly relying on the exquisite anatomic detail afforded by this technique to formulate diagnoses that assist with the optimal management of these athletic injuries. Some upper extremity overuse entities are well recognized; two examples are medial epicondylitis, classically appearing in baseball pitchers, and lateral epicondylitis, in tennis players. Other less well-known injuries of the upper extremity, such as intersection syndrome in rowers and distal clavicular stress fractures in weightlifters, are frequent occurrences in certain circles of athletes. The following article is a pictorial review of the MRI findings of upper extremity overuse injuries encountered in the competitive athlete, with an emphasis on the sports scenarios in which they occur. We will depict mechanisms of injury and applicable anatomy and show characteristic imaging findings. A wide range of entities are addressed, including but not limited to overuse injuries occurring in baseball, swimming, gymnastics, weightlifting, bowling, and cycling.

  19. COMPETITIVENESS OF NIGERIAN RICE AND MAIZE PRODUCTION ECOLOGIES: A POLICY ANALYSIS APPROACH

    Directory of Open Access Journals (Sweden)

    Victor Olusegun Okoruwa

    2011-05-01

    Full Text Available The Nigerian rice and maize sectors are faced with decreasing supply and increasing demand as rice and maize have taken a strategic place of other staples leading to excessive importation and increasing government intervention. This study therefore assesses the competitiveness of Nigerian rice and maize production ecologies using the policy analysis matrix (PAM on a sample of 122 farmers. Results of the PAM revealed that outputs from the production ecologies are taxed. This is further confirmed by the Effective protection coefficient (EPC and Subsidy ratio to producers (SRP values, however, the production ecologies are subsidized on the use of tradable inputs. The production ecologies show a strong competitiveness at the farm level (under irrigated rice, upland rice and upland maize and a strong comparative advantage. Sensitivity analysis indicated that a 50 percent increase in output and a 13.3 percent depreciation of the domestic currency will increase competitiveness and comparative advantage of rice and maize production in all ecologies. The study recommends that government should ensure a level of policy stability in the rice and maize sectors, assist farmers with irrigated water scheme to ensure constant water supply, and increase the level of output through provision of improved seed varieties.

  20. 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.

  1. 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.

  2. 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.

  3. EU Travel and Tourism Industry - A Cluster Analysis of Impact and Competitiveness

    Directory of Open Access Journals (Sweden)

    DANIEL BULIN

    2014-05-01

    Full Text Available The tourism industry has known a sustained growth in recent decades, this sector taking advantage of the capacity to generate added value regardless of the type of capital input. The impact of tourism on the economy is indisputable, but the efficiency and the competitiveness provide a sustainable development of this industry. The EU enlargement, geographical and numerical, provides both-a diversity of tourism destinations and an opportunity for growth, considering widening of single market. This paper aims to assess tourism in the European Union, considering the impact and value of the tourism multiplier effect in economy, respectively efficiency and competitiveness of tourism. This paper proposes a classification of EU countries based on cluster analysis, using K-means algorithm.

  4. Disability in physical education textbooks: an analysis of image content.

    Science.gov (United States)

    Táboas-Pais, María Inés; Rey-Cao, Ana

    2012-10-01

    The aim of this paper is to show how images of disability are portrayed in physical education textbooks for secondary schools in Spain. The sample was composed of 3,316 images published in 36 textbooks by 10 publishing houses. A content analysis was carried out using a coding scheme based on categories employed in other similar studies and adapted to the requirements of this study with additional categories. The variables were camera angle, gender, type of physical activity, field of practice, space, and level. Univariate and bivariate descriptive analyses were also carried out. The Pearson chi-square statistic was used to identify associations between the variables. Results showed a noticeable imbalance between people with disabilities and people without disabilities, and women with disabilities were less frequently represented than men with disabilities. People with disabilities were depicted as participating in a very limited variety of segregated, competitive, and elite sports activities.

  5. Factors and competitiveness analysis in rare earth mining, new methodology: case study from Brazil

    Directory of Open Access Journals (Sweden)

    Gustavo A. Silva

    2018-03-01

    Full Text Available Rare earths are increasingly being applied in high-tech industries, such as green energy (e.g. wind power, hybrid cars, electric cars, permanent high-performance magnets, superconductors, luminophores and many other industrial sectors involved in modern technologies. Given that China dominates this market and imposes restrictions on production and exports whenever opportunities arise, it is becoming more and more challenging to develop business ventures in this sector. Several initiatives were taken to prospect new resources and develop the production chain, including the mining of these mineral assets around the world, but some factors of uncertainties, including current low prices, increased the challenge of transforming the current resources into deposits or productive mines. Thus, analyzing the competitiveness of advanced projects becomes indispensable. This work has the objective of introducing a new methodology of competitiveness analysis, where some variables are considered as main factors that can contribute strongly to make unfeasible a mining enterprise for the use of rare earth elements (REE with this methodology, which is quite practical and reproducible, it was possible to verify some real facts, such as: the fact that the Lynas Mount Weld CLD (AUS Project is resilient to the uncertainties of the RE sector, at the same time as the Molycorp Project is facing major financial difficulties (under judicial reorganization. It was also possible to verify that the Araxá Project of CBMM in Brazil is one of the most competitive in this country. Thus, we contribute to the existing literature, providing a new methodology for competitiveness analysis in rare earth mining. Keywords: Earth sciences, Business, Economics, Industry

  6. Factors and competitiveness analysis in rare earth mining, new methodology: case study from Brazil.

    Science.gov (United States)

    Silva, Gustavo A; Petter, Carlos O; Albuquerque, Nelson R

    2018-03-01

    Rare earths are increasingly being applied in high-tech industries, such as green energy (e.g. wind power), hybrid cars, electric cars, permanent high-performance magnets, superconductors, luminophores and many other industrial sectors involved in modern technologies. Given that China dominates this market and imposes restrictions on production and exports whenever opportunities arise, it is becoming more and more challenging to develop business ventures in this sector. Several initiatives were taken to prospect new resources and develop the production chain, including the mining of these mineral assets around the world, but some factors of uncertainties, including current low prices, increased the challenge of transforming the current resources into deposits or productive mines. Thus, analyzing the competitiveness of advanced projects becomes indispensable. This work has the objective of introducing a new methodology of competitiveness analysis, where some variables are considered as main factors that can contribute strongly to make unfeasible a mining enterprise for the use of rare earth elements (REE) with this methodology, which is quite practical and reproducible, it was possible to verify some real facts, such as: the fact that the Lynas Mount Weld CLD (AUS) Project is resilient to the uncertainties of the RE sector, at the same time as the Molycorp Project is facing major financial difficulties (under judicial reorganization). It was also possible to verify that the Araxá Project of CBMM in Brazil is one of the most competitive in this country. Thus, we contribute to the existing literature, providing a new methodology for competitiveness analysis in rare earth mining.

  7. Endorsing cellular competitiveness in aberrant epithelium of oral submucous fibrosis progression: neighbourhood analysis of immunohistochemical attributes.

    Science.gov (United States)

    Anura, Anji; Kazi, Anees; Pal, Mousumi; Paul, Ranjan Rashmi; Sengupta, Sanghamitra; Chatterjee, Jyotirmoy

    2018-04-23

    Epithelial abnormality during the transformation of oral submucous fibrosis (OSF) into oral squamous cell carcinoma has been well studied and documented. However, the differential contribution of atrophy and hyperplasia for malignant potentiality of OSF is yet to be resolved. Existing diagnostic conjectures lack precise diagnostic attributes which may be effectively resolved by substantiation of specific molecular pathology signatures. Present study elucidates existence of cellular competitiveness in OSF conditions using computer-assisted neighbourhood analysis in quantitative immunohistochemistry (IHC) framework. The concept of field cancerization was contributory in finding correspondence among neighbouring cells of epithelial layers with reference to differential expression of cardinal cancer-related genes [c-Myc (oncogene), p53 (tumour suppressor), and HIF-1α (hypoxia regulator)] which are known to be important sensors in recognizing cellular competitive interface. Our analyses indicate that different states of OSF condition may be associated with different forms of competitiveness within epithelial neighbouring cells which might be responsible to shape the present and future of the pre-malignant condition. Analytical findings indicated association of atrophic epithelium with stress-driven competitive environment having low c-Myc, high-p53, and stable HIF-1α (the looser cells) which undergo apoptosis. Whereas, the cells with high c-Myc + (winner cells) give rise to hyperplastic epithelium via possible mutation in p53. The epithelial dysplasia plausibly occurs due to clonal expansion of c-Myc and p53 positive supercompetitor cells. Present study proposes quantitative IHC along with neighbourhood analysis which might help us to dig deeper on to the interaction among epithelial cell population to provide a better understanding of field cancerization and malignant transformation of pre-malignancy.

  8. Multi-Source Image Analysis.

    Science.gov (United States)

    1979-12-01

    These collections were taken to show the advantages made available to the inter- preter. In a military operation, however, often little or no in- situ ...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...power plant located in the southeast corner of the image. West of the Agua Hedionda lagoon is Carlsbad, California. Damp ground is labelled "Dg" on the

  9. Objective analysis of image quality of video image capture systems

    Science.gov (United States)

    Rowberg, Alan H.

    1990-07-01

    As Picture Archiving and Communication System (PACS) technology has matured, video image capture has become a common way of capturing digital images from many modalities. While digital interfaces, such as those which use the ACR/NEMA standard, will become more common in the future, and are preferred because of the accuracy of image transfer, video image capture will be the dominant method in the short term, and may continue to be used for some time because of the low cost and high speed often associated with such devices. Currently, virtually all installed systems use methods of digitizing the video signal that is produced for display on the scanner viewing console itself. A series of digital test images have been developed for display on either a GE CT9800 or a GE Signa MRI scanner. These images have been captured with each of five commercially available image capture systems, and the resultant images digitally transferred on floppy disk to a PC1286 computer containing Optimast' image analysis software. Here the images can be displayed in a comparative manner for visual evaluation, in addition to being analyzed statistically. Each of the images have been designed to support certain tests, including noise, accuracy, linearity, gray scale range, stability, slew rate, and pixel alignment. These image capture systems vary widely in these characteristics, in addition to the presence or absence of other artifacts, such as shading and moire pattern. Other accessories such as video distribution amplifiers and noise filters can also add or modify artifacts seen in the captured images, often giving unusual results. Each image is described, together with the tests which were performed using them. One image contains alternating black and white lines, each one pixel wide, after equilibration strips ten pixels wide. While some systems have a slew rate fast enough to track this correctly, others blur it to an average shade of gray, and do not resolve the lines, or give

  10. The image of a research institution as an important element in shaping the level of competitiveness of the organisation

    Directory of Open Access Journals (Sweden)

    Świeczak Witold

    2017-06-01

    Full Text Available The primary objective of the publication is defining the factors and processes affecting the efficient course of actions undertaken around building a positive image of the organisation. The study raises key aspects of this issue. The diagnosis providing that the recipient is guided in his/her purchasing decisions by the opinions about a given product or service that reach them through all the available content distribution channels is appearing increasingly often in subsequent study findings. The same studies have also confirmed that an inherent feature of a knowledge-based economy is the level of the intangible asset share as regards determining the position of an organisation (brand, reputation. The unbridled increase in competition has led to the generation of a growing volume of advertising offers for buyers, as a result of which standing out among other market players has now become more of an issue. One of the ways to enhance an organisation’s presence in a changing environment includes measures promoting its positive image creation and shaping of favourable (valuable opinions about it. The selection of the appropriate image concept to a constantly changing business environment in terms of competing or consumer preferences requires an effective response to their experiences in the cognitive, emotional and behavioural dimensions. If they are positive, they will contribute to building a favourable mindset among consumers, which in turn will facilitate the formation of a positive image of the organisation.

  11. MR imaging of the knee in marathon runners before and after competition

    International Nuclear Information System (INIS)

    Krampla, W.; Mayrhofer, R.; Malcher, J.; Urban, M.; Hruby, W.; Kristen, K.H.

    2001-01-01

    Objective. To evaluate the findings in MRI-studies of the knee in recreational long-distance runners after competition and to assess the reversibility of the findings.Design and patients. Eight recreational long-distance runners underwent MRI studies of the knee before, immediately after and 6-8 weeks after taking part in the Vienna City Marathon. The studies were evaluated regarding alterations of pre-existing lesions and new pathological findings.Results. In six runners without major pre-existing alterations no negative effects were experienced. In one runner with pre-existing grade III alterations of the menisci, signs of progressive osteoarthritis were experienced 2 months after the competition. In all other cases increased meniscal signal alterations and minor signal changes in the bone marrow after the race were transitory.Conclusion. In healthy individuals no negative long-term-effects were experienced. Pre-existing high-grade lesions of the menisci might be a predisposing risk for osteoarthritis, triggered by the stress of long-distance running. (orig.)

  12. Classification of polycystic ovary based on ultrasound images using competitive neural network

    Science.gov (United States)

    Dewi, R. M.; Adiwijaya; Wisesty, U. N.; Jondri

    2018-03-01

    Infertility in the women reproduction system due to inhibition of follicles maturation process causing the number of follicles which is called polycystic ovaries (PCO). PCO detection is still operated manually by a gynecologist by counting the number and size of follicles in the ovaries, so it takes a long time and needs high accuracy. In general, PCO can be detected by calculating stereology or feature extraction and classification. In this paper, we designed a system to classify PCO by using the feature extraction (Gabor Wavelet method) and Competitive Neural Network (CNN). CNN was selected because this method is the combination between Hemming Net and The Max Net so that the data classification can be performed based on the specific characteristics of ultrasound data. Based on the result of system testing, Competitive Neural Network obtained the highest accuracy is 80.84% and the time process is 60.64 seconds (when using 32 feature vectors as well as weight and bias values respectively of 0.03 and 0.002).

  13. Forensic Analysis of Digital Image Tampering

    Science.gov (United States)

    2004-12-01

    analysis of when each method fails, which Chapter 4 discusses. Finally, a test image containing an invisible watermark using LSB steganography is...2.2 – Example of invisible watermark using Steganography Software F5 ............. 8 Figure 2.3 – Example of copy-move image forgery [12...used to embed the hidden watermark is Steganography Software F5 version 11+ discussed in Section 2.2. Original JPEG Image – 580 x 435 – 17.4

  14. Wavefront analysis for plenoptic camera imaging

    International Nuclear Information System (INIS)

    Luan Yin-Sen; Xu Bing; Yang Ping; Tang Guo-Mao

    2017-01-01

    The plenoptic camera is a single lens stereo camera which can retrieve the direction of light rays while detecting their intensity distribution. In this paper, to reveal more truths of plenoptic camera imaging, we present the wavefront analysis for the plenoptic camera imaging from the angle of physical optics but not from the ray tracing model of geometric optics. Specifically, the wavefront imaging model of a plenoptic camera is analyzed and simulated by scalar diffraction theory and the depth estimation is redescribed based on physical optics. We simulate a set of raw plenoptic images of an object scene, thereby validating the analysis and derivations and the difference between the imaging analysis methods based on geometric optics and physical optics are also shown in simulations. (paper)

  15. 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)

  16. Lipidots: competitive organic alternative to quantum dots for in vivo fluorescence imaging

    Science.gov (United States)

    Gravier, Julien; Navarro, Fabrice P.; Delmas, Thomas; Mittler, Frédérique; Couffin, Anne-Claude; Vinet, Françoise; Texier, Isabelle

    2011-09-01

    The use of fluorescent nanostructures can bring several benefits on the signal to background ratio for in vitro microscopy, in vivo small animal imaging, and image-guided surgery. Fluorescent quantum dots (QDs) display outstanding optical properties, with high brightness and low photobleaching rate. However, because of their toxic element core composition and their potential long term retention in reticulo-endothelial organs such as liver, their in vivo human applications seem compromised. The development of new dye-loaded (DiO, DiI, DiD, DiR, and Indocyanine Green (ICG)) lipid nanoparticles for fluorescence imaging (lipidots) is described here. Lipidot optical properties quantitatively compete with those of commercial QDs (QTracker®705). Multichannel in vivo imaging of lymph nodes in mice is demonstrated for doses as low as 2 pmols of particles. Along with their optical properties, fluorescent lipidots display very low cytotoxicity (IC50 > 75 nM), which make them suitable tools for in vitro, and especially in vivo, fluorescence imaging applications.

  17. Breast cancer histopathology image analysis : a review

    NARCIS (Netherlands)

    Veta, M.; Pluim, J.P.W.; Diest, van P.J.; Viergever, M.A.

    2014-01-01

    This paper presents an overview of methods that have been proposed for the analysis of breast cancer histopathology images. This research area has become particularly relevant with the advent of whole slide imaging (WSI) scanners, which can perform cost-effective and high-throughput histopathology

  18. Multiplicative calculus in biomedical image analysis

    NARCIS (Netherlands)

    Florack, L.M.J.; Assen, van H.C.

    2011-01-01

    We advocate the use of an alternative calculus in biomedical image analysis, known as multiplicative (a.k.a. non-Newtonian) calculus. It provides a natural framework in problems in which positive images or positive definite matrix fields and positivity preserving operators are of interest. Indeed,

  19. Image analysis in x-ray cinefluorography

    Energy Technology Data Exchange (ETDEWEB)

    Ikuse, J; Yasuhara, H; Sugimoto, H [Toshiba Corp., Kawasaki, Kanagawa (Japan)

    1979-02-01

    For the cinefluorographic image in the cardiovascular diagnostic system, the image quality is evaluated by means of MTF (Modulation Transfer Function), and object contrast by introducing the concept of x-ray spectrum analysis. On the basis of these results, further investigation is made of optimum X-ray exposure factors set for cinefluorography and the cardiovascular diagnostic system.

  20. An Imaging And Graphics Workstation For Image Sequence Analysis

    Science.gov (United States)

    Mostafavi, Hassan

    1990-01-01

    This paper describes an application-specific engineering workstation designed and developed to analyze imagery sequences from a variety of sources. The system combines the software and hardware environment of the modern graphic-oriented workstations with the digital image acquisition, processing and display techniques. The objective is to achieve automation and high throughput for many data reduction tasks involving metric studies of image sequences. The applications of such an automated data reduction tool include analysis of the trajectory and attitude of aircraft, missile, stores and other flying objects in various flight regimes including launch and separation as well as regular flight maneuvers. The workstation can also be used in an on-line or off-line mode to study three-dimensional motion of aircraft models in simulated flight conditions such as wind tunnels. The system's key features are: 1) Acquisition and storage of image sequences by digitizing real-time video or frames from a film strip; 2) computer-controlled movie loop playback, slow motion and freeze frame display combined with digital image sharpening, noise reduction, contrast enhancement and interactive image magnification; 3) multiple leading edge tracking in addition to object centroids at up to 60 fields per second from both live input video or a stored image sequence; 4) automatic and manual field-of-view and spatial calibration; 5) image sequence data base generation and management, including the measurement data products; 6) off-line analysis software for trajectory plotting and statistical analysis; 7) model-based estimation and tracking of object attitude angles; and 8) interface to a variety of video players and film transport sub-systems.

  1. The fabrication of steam generators. Situation and predictions 2017 and 2018 - Sectoral and competitive analysis

    International Nuclear Information System (INIS)

    2017-01-01

    This report proposes a situational analysis and a discussion of trends for the sector of fabrication of steam generators. It also proposes predictions for 2017 and 2018, and all important figures useful to analyse the sector and its market. It discusses positions of the different actors, and the competitive game between them. Key events in firms life are indicated, and key development axes are identified. The report also proposes a ranking, a presentation of financial performance, and synthetic sheets for 55 leader firms of the sector

  2. Facial Image Analysis in Anthropology: A Review

    Czech Academy of Sciences Publication Activity Database

    Kalina, Jan

    2011-01-01

    Roč. 49, č. 2 (2011), s. 141-153 ISSN 0323-1119 Institutional support: RVO:67985807 Keywords : face * computer-assisted methods * template matching * geometric morphopetrics * robust image analysis Subject RIV: IN - Informatics, Computer Science

  3. Optimization of shearography image quality analysis

    International Nuclear Information System (INIS)

    Rafhayudi Jamro

    2005-01-01

    Shearography is an optical technique based on speckle pattern to measure the deformation of the object surface in which the fringe pattern is obtained through the correlation analysis from the speckle pattern. Analysis of fringe pattern for engineering application is limited for qualitative measurement. Therefore, for further analysis that lead to qualitative data, series of image processing mechanism are involved. In this paper, the fringe pattern for qualitative analysis is discussed. In principal field of applications is qualitative non-destructive testing such as detecting discontinuity, defect in the material structure, locating fatigue zones and etc and all these required image processing application. In order to performed image optimisation successfully, the noise in the fringe pattern must be minimised and the fringe pattern itself must be maximise. This can be achieved by applying a filtering method with a kernel size ranging from 2 X 2 to 7 X 7 pixels size and also applying equalizer in the image processing. (Author)

  4. 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

  5. Structural analysis in medical imaging

    International Nuclear Information System (INIS)

    Dellepiane, S.; Serpico, S.B.; Venzano, L.; Vernazza, G.

    1987-01-01

    The conventional techniques in Pattern Recognition (PR) have been greatly improved by the introduction of Artificial Intelligence (AI) approaches, in particular for knowledge representation, inference mechanism and control structure. The purpose of this paper is to describe an image understanding system, based on the integrated approach (AI - PR), developed in the author's Department to interpret Nuclear Magnetic Resonance (NMR) images. The system is characterized by a heterarchical control structure and a blackboard model for the global data-base. The major aspects of the system are pointed out, with particular reference to segmentation, knowledge representation and error recovery (backtracking). The eye slices obtained in the case of two patients have been analyzed and the related results are discussed

  6. 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

  7. 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.

  8. Malware analysis using visualized image matrices.

    Science.gov (United States)

    Han, KyoungSoo; Kang, BooJoong; Im, Eul Gyu

    2014-01-01

    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.

  9. 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

  10. Analysis of Variance in Statistical Image Processing

    Science.gov (United States)

    Kurz, Ludwik; Hafed Benteftifa, M.

    1997-04-01

    A key problem in practical image processing is the detection of specific features in a noisy image. Analysis of variance (ANOVA) techniques can be very effective in such situations, and this book gives a detailed account of the use of ANOVA in statistical image processing. The book begins by describing the statistical representation of images in the various ANOVA models. The authors present a number of computationally efficient algorithms and techniques to deal with such problems as line, edge, and object detection, as well as image restoration and enhancement. By describing the basic principles of these techniques, and showing their use in specific situations, the book will facilitate the design of new algorithms for particular applications. It will be of great interest to graduate students and engineers in the field of image processing and pattern recognition.

  11. Image processing and analysis software development

    International Nuclear Information System (INIS)

    Shahnaz, R.

    1999-01-01

    The work presented in this project is aimed at developing a software 'IMAGE GALLERY' to investigate various image processing and analysis techniques. The work was divided into two parts namely the image processing techniques and pattern recognition, which further comprised of character and face recognition. Various image enhancement techniques including negative imaging, contrast stretching, compression of dynamic, neon, diffuse, emboss etc. have been studied. Segmentation techniques including point detection, line detection, edge detection have been studied. Also some of the smoothing and sharpening filters have been investigated. All these imaging techniques have been implemented in a window based computer program written in Visual Basic Neural network techniques based on Perception model have been applied for face and character recognition. (author)

  12. The Effect of Service Delivery Performance and Corporate Social Responsibility on Institutional Image and Competitive Advantage and its Implication on Customer Trust (A Survey of Private Hospitals in Solo Raya

    Directory of Open Access Journals (Sweden)

    Yadi Purwanto

    2010-12-01

    repairs service delivery performance, physical facilities, also personnel contact performance to increase corporate social responsibility, to increase institutional image and competitive advantage to increase customer trust.

  13. Romania on the way of creating a competitive country image as an European tourist destination

    Directory of Open Access Journals (Sweden)

    Ioan Petroman

    2014-10-01

    Full Text Available The main objective of thepresented study is to analyze the current situation of Romania's efforts tocreate and to promote its own country image, focusing on the domains such as:exports, tourism, foreign direct investment, public diplomacy, sports andculture. In this respect was done an analysisof the efforts made up to present by governmental agencies (The Agency for Governmental Strategies, The RomanianAgency for Foreign Investment, The Romanian Trade Promotion Centre, and by professional organizations involved in the creation of a country's image (TheNational Authority for Tourism. The research was focused on the activities ofthe agencies playing an important role in tourism activities, in the promotionof Romanian exports, in the attraction of foreign investments and in Romania'sdiplomacy at international level.

  14. From Digital Imaging to Computer Image Analysis of Fine Art

    Science.gov (United States)

    Stork, David G.

    An expanding range of techniques from computer vision, pattern recognition, image analysis, and computer graphics are being applied to problems in the history of art. The success of these efforts is enabled by the growing corpus of high-resolution multi-spectral digital images of art (primarily paintings and drawings), sophisticated computer vision methods, and most importantly the engagement of some art scholars who bring questions that may be addressed through computer methods. This paper outlines some general problem areas and opportunities in this new inter-disciplinary research program.

  15. Breast cancer histopathology image analysis: a review.

    Science.gov (United States)

    Veta, Mitko; Pluim, Josien P W; van Diest, Paul J; Viergever, Max A

    2014-05-01

    This paper presents an overview of methods that have been proposed for the analysis of breast cancer histopathology images. This research area has become particularly relevant with the advent of whole slide imaging (WSI) scanners, which can perform cost-effective and high-throughput histopathology slide digitization, and which aim at replacing the optical microscope as the primary tool used by pathologist. Breast cancer is the most prevalent form of cancers among women, and image analysis methods that target this disease have a huge potential to reduce the workload in a typical pathology lab and to improve the quality of the interpretation. This paper is meant as an introduction for nonexperts. It starts with an overview of the tissue preparation, staining and slide digitization processes followed by a discussion of the different image processing techniques and applications, ranging from analysis of tissue staining to computer-aided diagnosis, and prognosis of breast cancer patients.

  16. Some developments in multivariate image analysis

    DEFF Research Database (Denmark)

    Kucheryavskiy, Sergey

    be up to several million. The main MIA tool for exploratory analysis is score density plot – all pixels are projected into principal component space and on the corresponding scores plots are colorized according to their density (how many pixels are crowded in the unit area of the plot). Looking...... for and analyzing patterns on these plots and the original image allow to do interactive analysis, to get some hidden information, build a supervised classification model, and much more. In the present work several alternative methods to original principal component analysis (PCA) for building the projection......Multivariate image analysis (MIA), one of the successful chemometric applications, now is used widely in different areas of science and industry. Introduced in late 80s it has became very popular with hyperspectral imaging, where MIA is one of the most efficient tools for exploratory analysis...

  17. Analysis of the competition situation in the Danish and Norwegian retail market for electric power

    International Nuclear Information System (INIS)

    2005-01-01

    In connection with the revision of the Danish Energy Act, Energitilsynet (The Danish Energy Regulatory Authority DERA) has worked out directions for how to determine the electric power prices for customers whose annual consumption is less than 100 000 kWh and hourly metered customers with so-called obliged supply agreements. The directions were first applied in the first quarter of 2005 and led to down-regulation of prices for a number of supply companies. The analysis shows that the competition works satisfactorily and should rather be supplied with other steps such as increased information. Moreover the analysis points out that the price regulation that is currently done cannot easily be combined with the goal of a free electricity market. Price regulation will hamper new business start-ups and innovation, in addition to the fact that market-based contracts run the risk of being ousted. The method that is now in use in the price regulation is questioned. The Energy Authority obtains reference figures for mark-up, for one thing, from the Norwegian Competition Authority. The emphasis placed on the Norwegian reference figures is not known. But a direct comparison is difficult because the consumption figures are different.

  18. 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.

  19. Document image analysis: A primer

    Indian Academy of Sciences (India)

    R. Narasimhan (Krishtel eMaging) 1461 1996 Oct 15 13:05:22

    (1) Typical documents in today's office are computer-generated, but even so, inevitably by different computers and ... different sizes, from a business card to a large engineering drawing. Document analysis ... Whether global or adaptive ...

  20. Competition, transmission and pattern evolution: A network analysis of global oil trade

    International Nuclear Information System (INIS)

    Zhang, Hai-Ying; Ji, Qiang; Fan, Ying

    2014-01-01

    This paper studies the competition among oil importers using complex network theory, combined with several alternative measures of competition intensity, to analyze the evolution of the pattern and transmission of oil-trading competition. The results indicate that oil trade has formed a global competition pattern and that the role played by the Asian-Pacific region in the evolution of this competition pattern is becoming increasingly prominent. In addition, global competition intensity has continued to rise, and non-OECD countries have become the main driving force for this increase in global competition intensity. The large oil importers are the most significant parts of the global oil-trading competition pattern. They are not only the major participants in the competition for oil resources but also play important roles in the transmission of oil-trading competition. China and the United States especially display the feature of globalization, whose impacts of transmission reach across the whole oil-trading competition network. Finally, a “5C” (changeability, contestability, cooperation, commitment and circumstances) policy framework is put forward to maintain the stability of oil trade and improve the energy security of oil importers in various aspects. - Highlights: • An oil-trading competition network is constructed using complex network theory. • Oil trade has formed a global competition pattern and its intensity has kept rising. • The status of the Asian-Pacific region in the competition pattern becomes prominent. • Large oil importers play important roles in transmitting the trading competition. • A “5C” policy framework is put forward to cope with the intensive competition

  1. Traffic analysis and control using image processing

    Science.gov (United States)

    Senthilkumar, K.; Ellappan, Vijayan; Arun, A. R.

    2017-11-01

    This paper shows the work on traffic analysis and control till date. It shows an approach to regulate traffic the use of image processing and MATLAB systems. This concept uses computational images that are to be compared with original images of the street taken in order to determine the traffic level percentage and set the timing for the traffic signal accordingly which are used to reduce the traffic stoppage on traffic lights. They concept proposes to solve real life scenarios in the streets, thus enriching the traffic lights by adding image receivers like HD cameras and image processors. The input is then imported into MATLAB to be used. as a method for calculating the traffic on roads. Their results would be computed in order to adjust the traffic light timings on a particular street, and also with respect to other similar proposals but with the added value of solving a real, big instance.

  2. 3D Image Analysis of Geomaterials using Confocal Microscopy

    Science.gov (United States)

    Mulukutla, G.; Proussevitch, A.; Sahagian, D.

    2009-05-01

    Confocal microscopy is one of the most significant advances in optical microscopy of the last century. It is widely used in biological sciences but its application to geomaterials lingers due to a number of technical problems. Potentially the technique can perform non-invasive testing on a laser illuminated sample that fluoresces using a unique optical sectioning capability that rejects out-of-focus light reaching the confocal aperture. Fluorescence in geomaterials is commonly induced using epoxy doped with a fluorochrome that is impregnated into the sample to enable discrimination of various features such as void space or material boundaries. However, for many geomaterials, this method cannot be used because they do not naturally fluoresce and because epoxy cannot be impregnated into inaccessible parts of the sample due to lack of permeability. As a result, the confocal images of most geomaterials that have not been pre-processed with extensive sample preparation techniques are of poor quality and lack the necessary image and edge contrast necessary to apply any commonly used segmentation techniques to conduct any quantitative study of its features such as vesicularity, internal structure, etc. In our present work, we are developing a methodology to conduct a quantitative 3D analysis of images of geomaterials collected using a confocal microscope with minimal amount of prior sample preparation and no addition of fluorescence. Two sample geomaterials, a volcanic melt sample and a crystal chip containing fluid inclusions are used to assess the feasibility of the method. A step-by-step process of image analysis includes application of image filtration to enhance the edges or material interfaces and is based on two segmentation techniques: geodesic active contours and region competition. Both techniques have been applied extensively to the analysis of medical MRI images to segment anatomical structures. Preliminary analysis suggests that there is distortion in the

  3. 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.

  4. Development of Image Analysis Software of MAXI

    Science.gov (United States)

    Eguchi, S.; Ueda, Y.; Hiroi, K.; Isobe, N.; Sugizaki, M.; Suzuki, M.; Tomida, H.; Maxi Team

    2010-12-01

    Monitor of All-sky X-ray Image (MAXI) is an X-ray all-sky monitor, attached to the Japanese experiment module Kibo on the International Space Station. The main scientific goals of the MAXI mission include the discovery of X-ray novae followed by prompt alerts to the community (Negoro et al., in this conference), and production of X-ray all-sky maps and new source catalogs with unprecedented sensitivities. To extract the best capabilities of the MAXI mission, we are working on the development of detailed image analysis tools. We utilize maximum likelihood fitting to a projected sky image, where we take account of the complicated detector responses, such as the background and point spread functions (PSFs). The modeling of PSFs, which strongly depend on the orbit and attitude of MAXI, is a key element in the image analysis. In this paper, we present the status of our software development.

  5. Digital image analysis of NDT radiographs

    International Nuclear Information System (INIS)

    Graeme, W.A. Jr.; Eizember, A.C.; Douglass, J.

    1989-01-01

    Prior to the introduction of Charge Coupled Device (CCD) detectors the majority of image analysis performed on NDT radiographic images was done visually in the analog domain. While some film digitization was being performed, the process was often unable to capture all the usable information on the radiograph or was too time consuming. CCD technology now provides a method to digitize radiographic film images without losing the useful information captured in the original radiograph in a timely process. Incorporating that technology into a complete digital radiographic workstation allows analog radiographic information to be processed, providing additional information to the radiographer. Once in the digital domain, that data can be stored, and fused with radioscopic and other forms of digital data. The result is more productive analysis and management of radiographic inspection data. The principal function of the NDT Scan IV digital radiography system is the digitization, enhancement and storage of radiographic images

  6. Luminescent sensing and imaging of oxygen: fierce competition to the Clark electrode.

    Science.gov (United States)

    Wolfbeis, Otto S

    2015-08-01

    Luminescence-based sensing schemes for oxygen have experienced a fast growth and are in the process of replacing the Clark electrode in many fields. Unlike electrodes, sensing is not limited to point measurements via fiber optic microsensors, but includes additional features such as planar sensing, imaging, and intracellular assays using nanosized sensor particles. In this essay, I review and discuss the essentials of (i) common solid-state sensor approaches based on the use of luminescent indicator dyes and host polymers; (ii) fiber optic and planar sensing schemes; (iii) nanoparticle-based intracellular sensing; and (iv) common spectroscopies. Optical sensors are also capable of multiple simultaneous sensing (such as O2 and temperature). Sensors for O2 are produced nowadays in large quantities in industry. Fields of application include sensing of O2 in plant and animal physiology, in clinical chemistry, in marine sciences, in the chemical industry and in process biotechnology. © 2015 The Author. Bioessays published by WILEY Periodicals, Inc.

  7. Mathematical foundations of image processing and analysis

    CERN Document Server

    Pinoli, Jean-Charles

    2014-01-01

    Mathematical Imaging is currently a rapidly growing field in applied mathematics, with an increasing need for theoretical mathematics. This book, the second of two volumes, emphasizes the role of mathematics as a rigorous basis for imaging sciences. It provides a comprehensive and convenient overview of the key mathematical concepts, notions, tools and frameworks involved in the various fields of gray-tone and binary image processing and analysis, by proposing a large, but coherent, set of symbols and notations, a complete list of subjects and a detailed bibliography. It establishes a bridg

  8. 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.

  9. Laue image analysis. Pt. 2

    International Nuclear Information System (INIS)

    Greenhough, T.J.; Shrive, A.K.

    1994-01-01

    Many Laue diffraction patterns from crystals of particular biological or chemical interest are of insufficient quality for their analysis to be feasible. In many cases, this is because of pronounced streaking of the spots owing to either large mosaic spread or disorder introduced during reactions in the crystal. Methods for the analysis of exposures exhibiting radial or near-radial streaking are described, along with their application in Laue diffraction studies of form-II crystals of Met-tRNA synthetase and a photosynthetic reaction centre from Rhodobacter sphaeroides. In both cases, variable elliptical radial masking has led to significant improvements in data quality and quantity and exposures that previously were too streaked to process may now be analysed. These masks can also provide circular profiles as a special case for processing high-quality Laue exposures and spatial-overlap deconvolution may be performed using the elliptical or circular masks. (orig.)

  10. Multisource Images Analysis Using Collaborative Clustering

    Directory of Open Access Journals (Sweden)

    Pierre Gançarski

    2008-04-01

    Full Text Available The development of very high-resolution (VHR satellite imagery has produced a huge amount of data. The multiplication of satellites which embed different types of sensors provides a lot of heterogeneous images. Consequently, the image analyst has often many different images available, representing the same area of the Earth surface. These images can be from different dates, produced by different sensors, or even at different resolutions. The lack of machine learning tools using all these representations in an overall process constraints to a sequential analysis of these various images. In order to use all the information available simultaneously, we propose a framework where different algorithms can use different views of the scene. Each one works on a different remotely sensed image and, thus, produces different and useful information. These algorithms work together in a collaborative way through an automatic and mutual refinement of their results, so that all the results have almost the same number of clusters, which are statistically similar. Finally, a unique result is produced, representing a consensus among the information obtained by each clustering method on its own image. The unified result and the complementarity of the single results (i.e., the agreement between the clustering methods as well as the disagreement lead to a better understanding of the scene. The experiments carried out on multispectral remote sensing images have shown that this method is efficient to extract relevant information and to improve the scene understanding.

  11. Mixing, entropy and competition

    International Nuclear Information System (INIS)

    Klimenko, A Y

    2012-01-01

    Non-traditional thermodynamics, applied to random behaviour associated with turbulence, mixing and competition, is reviewed and analysed. Competitive mixing represents a general framework for the study of generic properties of competitive systems and can be used to model a wide class of non-equilibrium phenomena ranging from turbulent premixed flames and invasion waves to complex competitive systems. We demonstrate consistency of the general principles of competition with thermodynamic description, review and analyse the related entropy concepts and introduce the corresponding competitive H-theorem. A competitive system can be characterized by a thermodynamic quantity—competitive potential—which determines the likely direction of evolution of the system. Contested resources tend to move between systems from lower to higher values of the competitive potential. There is, however, an important difference between conventional thermodynamics and competitive thermodynamics. While conventional thermodynamics is constrained by its zeroth law and is fundamentally transitive, the transitivity of competitive thermodynamics depends on the transitivity of the competition rules. Intransitivities are common in the real world and are responsible for complex behaviour in competitive systems. This work follows ideas and methods that have originated from the analysis of turbulent combustion, but reviews a much broader scope of issues linked to mixing and competition, including thermodynamic characterization of complex competitive systems with self-organization. The approach presented here is interdisciplinary and is addressed to the general educated readers, whereas the mathematical details can be found in the appendices. (comment)

  12. The Spatial Econometric Analysis of China’s Banking Competition and Its Influential Factors

    Directory of Open Access Journals (Sweden)

    Ying Li

    2015-12-01

    Full Text Available This paper determines alternative indexes to measure banking competition from the perspective of industrial economics. Spatial correlation of competition in China’s banking environment is studied from the perspective of spatial economics. A spatial panel data model is built to make an empirical study of factors influencing banking competition. The results show that the global autocorrelation test index Moran’s I indicates that China’s banking competition has obvious spatial correlation characteristics and significant spatial clustering. The space LISA map indicates that banking competition in most provinces has the characteristics of spatial dependence, and only a few provinces have the characteristics of spatial heterogeneity. Human capital, economic growth, financial scale of development, and foreign direct investment all have a significant positive effect on improving the degree of banking competition. Government intervention has a significant negative impact on the degree of banking competition, while fixed asset investment has no significant impact on it.

  13. 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.

  14. Swiss hydropower in competition - an analysis with reference to the future European power supply system

    International Nuclear Information System (INIS)

    Balmer, M.; Spreng, D.; Moest, D.

    2006-01-01

    This article takes a look at a number of questions in relation to the future use of Swiss hydropower that are neither clear nor unchallenged. Questions concerning the replacement or refurbishment of hydropower schemes that will have to be renewed in the next few years are asked. Also, developments in the European power market are looked at. The future influence of wind power, trading with CO 2 certificates, increases in the price of gas etc. are examined. An analysis of the competitiveness of Swiss hydropower with reference to the European power supply system that was made by the Centre for Energy Policy and Economics CEPE at the Swiss Federal Institute of Technology ETH is described. The 'Perseus'-model developed by CEPE and the Industrial Technology Institute at the University of Karlsruhe in Germany is used to analyse possible developments over the period up to 2030. The results are presented in graphical form and commented on

  15. 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.

  16. Applications Of Binary Image Analysis Techniques

    Science.gov (United States)

    Tropf, H.; Enderle, E.; Kammerer, H. P.

    1983-10-01

    After discussing the conditions where binary image analysis techniques can be used, three new applications of the fast binary image analysis system S.A.M. (Sensorsystem for Automation and Measurement) are reported: (1) The human view direction is measured at TV frame rate while the subject's head is free movable. (2) Industrial parts hanging on a moving conveyor are classified prior to spray painting by robot. (3) In automotive wheel assembly, the eccentricity of the wheel is minimized by turning the tyre relative to the rim in order to balance the eccentricity of the components.

  17. 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.

  18. [Regional anaesthesia as advantage in competition between hospitals. Strategic market analysis].

    Science.gov (United States)

    Heller, A R; Bauer, K R; Eberlein-Gonska, M; Albrecht, D M; Koch, T

    2009-05-01

    The German Social Act V section sign 12 is aimed towards competition, efficiency and quality in healthcare. Because surgical departments are billing standard diagnosis-related group (DRG) case costs to health insurance companies, they claim best value for money for internal services. Thus, anaesthesia concepts are being closely scrutinized. The present analysis was performed to gain economic arguments for the strategic positioning of regional anaesthesia procedures into clinical pathways. Surgical procedures, which in 2005 had a relevant caseload in Germany, were chosen in which regional anaesthesia procedures (alone or in combination with general anaesthesia) could routinely be used. The structure of costs and earnings for hospital services, split by types and centres of cost, as well as by underlying procedures are contained in the annually updated public accessible dataset (DRG browser) of the German Hospital Reimbursement Institute (InEK). For the year 2005 besides own data, national anaesthesia staffing costs are available from the German Society of Anaesthesiology (DGAI). The curve of earnings per DRG can be calculated from the 2005 InEK browser. This curve intersects by the cost curve at the point of national mean length of stay. The cost curve was calculated by process-oriented distribution of cost centres over the length of stay and allows benchmarking within the national competitive environment. For comparison of process times data from our local database were used. While the InEK browser lacks process times, the cost positions 5.1-5.3 (staffing costs anaesthesia) and the national structure adjusted anaesthesia staffing costs 2005 as published by the DGAI, were used to calculate nationwide mean available anaesthesia times which were compared with own process times. Within the portfolio diagram of lengths of stay for each DRG and process times most procedures are located in the economic lower left, in particular those with high case mix (length of stay and

  19. Automatic telangiectasia analysis in dermoscopy images using adaptive critic design.

    Science.gov (United States)

    Cheng, B; Stanley, R J; Stoecker, W V; Hinton, K

    2012-11-01

    Telangiectasia, tiny skin vessels, are important dermoscopy structures used to discriminate basal cell carcinoma (BCC) from benign skin lesions. This research builds off of previously developed image analysis techniques to identify vessels automatically to discriminate benign lesions from BCCs. A biologically inspired reinforcement learning approach is investigated in an adaptive critic design framework to apply action-dependent heuristic dynamic programming (ADHDP) for discrimination based on computed features using different skin lesion contrast variations to promote the discrimination process. Lesion discrimination results for ADHDP are compared with multilayer perception backpropagation artificial neural networks. This study uses a data set of 498 dermoscopy skin lesion images of 263 BCCs and 226 competitive benign images as the input sets. This data set is extended from previous research [Cheng et al., Skin Research and Technology, 2011, 17: 278]. Experimental results yielded a diagnostic accuracy as high as 84.6% using the ADHDP approach, providing an 8.03% improvement over a standard multilayer perception method. We have chosen BCC detection rather than vessel detection as the endpoint. Although vessel detection is inherently easier, BCC detection has potential direct clinical applications. Small BCCs are detectable early by dermoscopy and potentially detectable by the automated methods described in this research. © 2011 John Wiley & Sons A/S.

  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. 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.

  2. Fourier analysis: from cloaking to imaging

    International Nuclear Information System (INIS)

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

    2016-01-01

    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. (review)

  3. Quantitative Image Simulation and Analysis of Nanoparticles

    DEFF Research Database (Denmark)

    Madsen, Jacob; Hansen, Thomas Willum

    Microscopy (HRTEM) has become a routine analysis tool for structural characterization at atomic resolution, and with the recent development of in-situ TEMs, it is now possible to study catalytic nanoparticles under reaction conditions. However, the connection between an experimental image, and the underlying...... physical phenomena or structure is not always straightforward. The aim of this thesis is to use image simulation to better understand observations from HRTEM images. Surface strain is known to be important for the performance of nanoparticles. Using simulation, we estimate of the precision and accuracy...... of strain measurements from TEM images, and investigate the stability of these measurements to microscope parameters. This is followed by our efforts toward simulating metal nanoparticles on a metal-oxide support using the Charge Optimized Many Body (COMB) interatomic potential. The simulated interface...

  4. Hyperspectral Image Analysis of Food Quality

    DEFF Research Database (Denmark)

    Arngren, Morten

    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......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...... 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...

  5. Deep Learning in Medical Image Analysis.

    Science.gov (United States)

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

    2017-06-21

    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.

  6. Data Analysis Strategies in Medical Imaging.

    Science.gov (United States)

    Parmar, Chintan; Barry, Joseph D; Hosny, Ahmed; Quackenbush, John; Aerts, Hugo Jwl

    2018-03-26

    Radiographic imaging continues to be one of the most effective and clinically useful tools within oncology. Sophistication of artificial intelligence (AI) has allowed for detailed quantification of radiographic characteristics of tissues using predefined engineered algorithms or deep learning methods. Precedents in radiology as well as a wealth of research studies hint at the clinical relevance of these characteristics. However, there are critical challenges associated with the analysis of medical imaging data. While some of these challenges are specific to the imaging field, many others like reproducibility and batch effects are generic and have already been addressed in other quantitative fields such as genomics. Here, we identify these pitfalls and provide recommendations for analysis strategies of medical imaging data including data normalization, development of robust models, and rigorous statistical analyses. Adhering to these recommendations will not only improve analysis quality, but will also enhance precision medicine by allowing better integration of imaging data with other biomedical data sources. Copyright ©2018, American Association for Cancer Research.

  7. Competition policies and environmental quality: Empirical analysis of the electricity sector in OECD countries

    International Nuclear Information System (INIS)

    Asane-Otoo, Emmanuel

    2016-01-01

    Over the last decades, electricity markets across OECD countries have been subjected to profound structural changes with far-reaching implications on the economy and the environment. This paper investigates the effect of restructuring – changes in entry regulations, the degree of vertical integration and ownership structure – on GHG emissions. The findings show that competition policies – particularly reducing the degree of vertical integration and increasing privatization – correlate negatively with emission intensity. However, the environmental effect of reducing market entry barriers is generally insignificant. Integration of competition and stringent environmental policies are required to reduce GHG emissions and improve environmental quality. - Highlights: •Empirical study on competition policies and GHG emissions from the electricity sector. •Product market regulation scores for OECD countries are used to measure the extent of competition. •Evidence of a positive relationship between competition policies and environmental quality. •Integration of competition and stringent environmental policies is recommended.

  8. 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.

  9. 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.

  10. Oligopolistic competition in wholesale electricity markets: Large-scale simulation and policy analysis using complementarity models

    Science.gov (United States)

    Helman, E. Udi

    This dissertation conducts research into the large-scale simulation of oligopolistic competition in wholesale electricity markets. The dissertation has two parts. Part I is an examination of the structure and properties of several spatial, or network, equilibrium models of oligopolistic electricity markets formulated as mixed linear complementarity problems (LCP). Part II is a large-scale application of such models to the electricity system that encompasses most of the United States east of the Rocky Mountains, the Eastern Interconnection. Part I consists of Chapters 1 to 6. The models developed in this part continue research into mixed LCP models of oligopolistic electricity markets initiated by Hobbs [67] and subsequently developed by Metzler [87] and Metzler, Hobbs and Pang [88]. Hobbs' central contribution is a network market model with Cournot competition in generation and a price-taking spatial arbitrage firm that eliminates spatial price discrimination by the Cournot firms. In one variant, the solution to this model is shown to be equivalent to the "no arbitrage" condition in a "pool" market, in which a Regional Transmission Operator optimizes spot sales such that the congestion price between two locations is exactly equivalent to the difference in the energy prices at those locations (commonly known as locational marginal pricing). Extensions to this model are presented in Chapters 5 and 6. One of these is a market model with a profit-maximizing arbitrage firm. This model is structured as a mathematical program with equilibrium constraints (MPEC), but due to the linearity of its constraints, can be solved as a mixed LCP. Part II consists of Chapters 7 to 12. The core of these chapters is a large-scale simulation of the U.S. Eastern Interconnection applying one of the Cournot competition with arbitrage models. This is the first oligopolistic equilibrium market model to encompass the full Eastern Interconnection with a realistic network representation (using

  11. 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

  12. Changing competition in health care marketing: a method for analysis and strategic planning.

    Science.gov (United States)

    Ellis, B; Brockman, B K

    1993-01-01

    As the cost and importance of healthcare continue to increase, competition in the medical industry is taking new forms and becoming more intense. The driving trends behind this competition are analyzed in the framework of Porter's Five Forces of Competition Model. The authors then discuss how the widely accepted strategies of cost, differentiation, focus, and domestication can be utilized to counter the implications of these trends and how to capitalize on opportunities in medical practice in the 1990's.

  13. 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...

  14. A virtual laboratory for medical image analysis

    NARCIS (Netherlands)

    Olabarriaga, Sílvia D.; Glatard, Tristan; de Boer, Piter T.

    2010-01-01

    This paper presents the design, implementation, and usage of a virtual laboratory for medical image analysis. It is fully based on the Dutch grid, which is part of the Enabling Grids for E-sciencE (EGEE) production infrastructure and driven by the gLite middleware. The adopted service-oriented

  15. 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

  16. The electricity market. Situation and predictions 2018 - Sectoral and competitive analysis

    International Nuclear Information System (INIS)

    2017-01-01

    This document comprises two reports. A first one, published and updated three times a year, and a second one which is a yearly publication. The first one, based on an analysis of market perspectives and of actor strategies, proposes a synthesis on the consequences of the evolution of the economic environment, on major trends noticed for the electric power sector, and on predictable evolutions. It proposes the most recent data regarding the activities of about 200 firms belonging to the power sector (notably in terms of turnover and of electric power consumption). It highlights recent events for companies of the sector: takeovers, investments, restructuring, introduction of new products, and so on. It proposes a sector-based dashboard which contains all the critical figures useful to analyse the sector situation (activity determining factors, key figures for the sector and its environment). The annual report proposes a presentation of the sector and of the determining factors of its activity, an analysis of the activity evolution (trends, indicators like turnover, electric power consumption and production, prices and regulated tariffs, power imports and exports), a presentation of financial performance of electricity producers, a description of the sector economic structure (evolution of the economic tissue, analysis of structural characteristics), and a presentation of actors and of the competitive landscape (ranking and positioning of electric power providers and producers, market shares, identity sheets of the main actors, highlights, and ranking of the main companies in terms of turnover and of financial performance)

  17. IMPROVING COMPETITIVE POWER PRODUCTS BY STRATEGIC ENVIRONMENTAL ANALYSIS: CASE STUDY CREDITS PRODUCTS’ EMPLOYEES OF BANK BPR

    Directory of Open Access Journals (Sweden)

    Kunto Ajibroto

    2017-09-01

    Full Text Available Strategic environment analysis is part of strategic planning component and is a process to always put the company in a strategic position, so that in its development will always be in a favorable position. By analyzing external factors and internal factors, it will be possible to find out the most appropriate strategy formulation for BPR Bhakti Daya Ekonomi in facing the increasingly fierce competition. The research method used is qualitative with data collection using interview and observation, while for data analysis using SWOT method which also use analysis of EFAS and IFAS. The results of this study indicate that the position of BPR Bhakti Daya Ekonomi for Credit Employees products is located in quadrant IV. In this quadrant the bank is in a position where its internal advantage is relatively more dominant than its weakness. However, in the face of the threat environment is relatively greater than the chances. This means that the bank has a relatively better internal capability to expand its business, especially by utilizing some of its internal strengths.

  18. 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

  19. Electricity to natural gas competition under customer-side technological change: a marginal cost pricing analysis

    International Nuclear Information System (INIS)

    Gulli', Francesco

    2004-01-01

    This paper aims at evaluating the impact of technological change (on the customer side of the meter) on the network energy industry (electricity and natural gas). The performances of the small gas fired power technologies and the electrical reversible heat pumps have improved remarkably over the last ten years, making possible (or more viable) two opposite technological trajectories: the fully gas-based system, based on the use of small CHP (combined heat and power generation) plants, which would involve a wide decentralisation of energy supply; the fully electric-based system, based on the use of reversible electric heat pumps, which would imply increasing centralisation of energy supply. The analysis described in this paper attempts to evaluate how these two kinds of technological solutions can impact on inter-service competition when input prices are ste equals to marginal costs of supply in each stage of the electricity and natural gas industries. For this purpose, unbundled prices over time and over space are simulated. In particular the paper shows that unbundling prices over space in not very important in affecting electricity to natural gas competition and that, when prices are set equal to long-run marginal costs, the fully electric-based solution (the reversible heat pump) is by far preferable to the fully gas-based solution (the CHP gas fired small power plant). In consequence, the first best outcome of the technological change would involve increasing large power generation and imported (from the utility grid) electricity consumption. Given this framework, we have to ask ourselves why operators, regulators and legislators are so optimistic about the development of the fully gas-based solutions. In this respect, the paper suggests that market distortions (such as market power, energy taxation and inefficient pricing regulation) might have give an ambiguous representation of the optimal technological trajectory, inducing to overestimate the social value

  20. Flame analysis using image processing techniques

    Science.gov (United States)

    Her Jie, Albert Chang; Zamli, Ahmad Faizal Ahmad; Zulazlan Shah Zulkifli, Ahmad; Yee, Joanne Lim Mun; Lim, Mooktzeng

    2018-04-01

    This paper presents image processing techniques with the use of fuzzy logic and neural network approach to perform flame analysis. Flame diagnostic is important in the industry to extract relevant information from flame images. Experiment test is carried out in a model industrial burner with different flow rates. Flame features such as luminous and spectral parameters are extracted using image processing and Fast Fourier Transform (FFT). Flame images are acquired using FLIR infrared camera. Non-linearities such as thermal acoustic oscillations and background noise affect the stability of flame. Flame velocity is one of the important characteristics that determines stability of flame. In this paper, an image processing method is proposed to determine flame velocity. Power spectral density (PSD) graph is a good tool for vibration analysis where flame stability can be approximated. However, a more intelligent diagnostic system is needed to automatically determine flame stability. In this paper, flame features of different flow rates are compared and analyzed. The selected flame features are used as inputs to the proposed fuzzy inference system to determine flame stability. Neural network is used to test the performance of the fuzzy inference system.

  1. Frequency domain analysis of knock images

    Science.gov (United States)

    Qi, Yunliang; He, Xin; Wang, Zhi; Wang, Jianxin

    2014-12-01

    High speed imaging-based knock analysis has mainly focused on time domain information, e.g. the spark triggered flame speed, the time when end gas auto-ignition occurs and the end gas flame speed after auto-ignition. This study presents a frequency domain analysis on the knock images recorded using a high speed camera with direct photography in a rapid compression machine (RCM). To clearly visualize the pressure wave oscillation in the combustion chamber, the images were high-pass-filtered to extract the luminosity oscillation. The luminosity spectrum was then obtained by applying fast Fourier transform (FFT) to three basic colour components (red, green and blue) of the high-pass-filtered images. Compared to the pressure spectrum, the luminosity spectra better identify the resonant modes of pressure wave oscillation. More importantly, the resonant mode shapes can be clearly visualized by reconstructing the images based on the amplitudes of luminosity spectra at the corresponding resonant frequencies, which agree well with the analytical solutions for mode shapes of gas vibration in a cylindrical cavity.

  2. Computed image analysis of neutron radiographs

    International Nuclear Information System (INIS)

    Dinca, M.; Anghel, E.; Preda, M.; Pavelescu, M.

    2008-01-01

    Similar with X-radiography, using neutron like penetrating particle, there is in practice a nondestructive technique named neutron radiology. When the registration of information is done on a film with the help of a conversion foil (with high cross section for neutrons) that emits secondary radiation (β,γ) that creates a latent image, the technique is named neutron radiography. A radiographic industrial film that contains the image of the internal structure of an object, obtained by neutron radiography, must be subsequently analyzed to obtain qualitative and quantitative information about the structural integrity of that object. There is possible to do a computed analysis of a film using a facility with next main components: an illuminator for film, a CCD video camera and a computer (PC) with suitable software. The qualitative analysis intends to put in evidence possibly anomalies of the structure due to manufacturing processes or induced by working processes (for example, the irradiation activity in the case of the nuclear fuel). The quantitative determination is based on measurements of some image parameters: dimensions, optical densities. The illuminator has been built specially to perform this application but can be used for simple visual observation. The illuminated area is 9x40 cm. The frame of the system is a comparer of Abbe Carl Zeiss Jena type, which has been adapted to achieve this application. The video camera assures the capture of image that is stored and processed by computer. A special program SIMAG-NG has been developed at INR Pitesti that beside of the program SMTV II of the special acquisition module SM 5010 can analyze the images of a film. The major application of the system was the quantitative analysis of a film that contains the images of some nuclear fuel pins beside a dimensional standard. The system was used to measure the length of the pellets of the TRIGA nuclear fuel. (authors)

  3. Web Based Distributed Coastal Image Analysis System, Phase I

    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...

  4. 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

  5. Study of TCP densification via image analysis

    International Nuclear Information System (INIS)

    Silva, R.C.; Alencastro, F.S.; Oliveira, R.N.; Soares, G.A.

    2011-01-01

    Among ceramic materials that mimic human bone, β-type tri-calcium phosphate (β-TCP) has shown appropriate chemical stability and superior resorption rate when compared to hydroxyapatite. In order to increase its mechanical strength, the material is sintered, under controlled time and temperature conditions, to obtain densification without phase change. In the present work, tablets were produced via uniaxial compression and then sintered at 1150°C for 2h. The analysis via XRD and FTIR showed that the sintered tablets were composed only by β-TCP. The SEM images were used for quantification of grain size and volume fraction of pores, via digital image analysis. The tablets showed small pore fraction (between 0,67% and 6,38%) and homogeneous grain size distribution (∼2μm). Therefore, the analysis method seems viable to quantify porosity and grain size. (author)

  6. 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.

  7. 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

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

    NARCIS (Netherlands)

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

    2017-01-01

    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

  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. Analysis of renal nuclear medicine images

    International Nuclear Information System (INIS)

    Jose, R.M.J.

    2000-01-01

    Nuclear medicine imaging of the renal system involves producing time-sequential images showing the distribution of a radiopharmaceutical in the renal system. Producing numerical and graphical data from nuclear medicine studies requires defining regions of interest (ROIs) around various organs within the field of view, such as the left kidney, right kidney and bladder. Automating this process has several advantages: a saving of a clinician's time; enhanced objectivity and reproducibility. This thesis describes the design, implementation and assessment of an automatic ROI generation system. The performance of the system described in this work is assessed by comparing the results to those obtained using manual techniques. Since nuclear medicine images are inherently noisy, the sequence of images is reconstructed using the first few components of a principal components analysis in order to reduce the noise in the images. An image of the summed reconstructed sequence is then formed. This summed image is segmented by using an edge co-occurrence matrix as a feature space for simultaneously classifying regions and locating boundaries. Two methods for assigning the regions of a segmented image to organ class labels are assessed. The first method is based on using Dempster-Shafer theory to combine uncertain evidence from several sources into a single evidence; the second method makes use of a neural network classifier. The use of each technique in classifying the regions of a segmented image are assessed in separate experiments using 40 real patient-studies. A comparative assessment of the two techniques shows that the neural network produces more accurate region labels for the kidneys. The optimum neural system is determined experimentally. Results indicate that combining temporal and spatial information with a priori clinical knowledge produces reasonable ROIs. Consistency in the neural network assignment of regions is enhanced by taking account of the contextual

  11. 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.

  12. Rapid Analysis and Exploration of Fluorescence Microscopy Images

    OpenAIRE

    Pavie, Benjamin; Rajaram, Satwik; Ouyang, Austin; Altschuler, Jason; Steininger, Robert J; Wu, Lani; Altschuler, Steven

    2014-01-01

    Despite rapid advances in high-throughput microscopy, quantitative image-based assays still pose significant challenges. While a variety of specialized image analysis tools are available, most traditional image-analysis-based workflows have steep learning curves (for fine tuning of analysis parameters) and result in long turnaround times between imaging and analysis. In particular, cell segmentation, the process of identifying individual cells in an image, is a major bottleneck in this regard.

  13. 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.

  14. Image sequence analysis workstation for multipoint motion analysis

    Science.gov (United States)

    Mostafavi, Hassan

    1990-08-01

    This paper describes an application-specific engineering workstation designed and developed to analyze motion of objects from video sequences. The system combines the software and hardware environment of a modem graphic-oriented workstation with the digital image acquisition, processing and display techniques. In addition to automation and Increase In throughput of data reduction tasks, the objective of the system Is to provide less invasive methods of measurement by offering the ability to track objects that are more complex than reflective markers. Grey level Image processing and spatial/temporal adaptation of the processing parameters is used for location and tracking of more complex features of objects under uncontrolled lighting and background conditions. The applications of such an automated and noninvasive measurement tool include analysis of the trajectory and attitude of rigid bodies such as human limbs, robots, aircraft in flight, etc. The system's key features are: 1) Acquisition and storage of Image sequences by digitizing and storing real-time video; 2) computer-controlled movie loop playback, freeze frame display, and digital Image enhancement; 3) multiple leading edge tracking in addition to object centroids at up to 60 fields per second from both live input video or a stored Image sequence; 4) model-based estimation and tracking of the six degrees of freedom of a rigid body: 5) field-of-view and spatial calibration: 6) Image sequence and measurement data base management; and 7) offline analysis software for trajectory plotting and statistical analysis.

  15. 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. ...

  16. Multimodal Imaging Brain Connectivity Analysis (MIBCA toolbox

    Directory of Open Access Journals (Sweden)

    Andre Santos Ribeiro

    2015-07-01

    Full Text Available Aim. In recent years, connectivity studies using neuroimaging data have increased the understanding of the organization of large-scale structural and functional brain networks. However, data analysis is time consuming as rigorous procedures must be assured, from structuring data and pre-processing to modality specific data procedures. Until now, no single toolbox was able to perform such investigations on truly multimodal image data from beginning to end, including the combination of different connectivity analyses. Thus, we have developed the Multimodal Imaging Brain Connectivity Analysis (MIBCA toolbox with the goal of diminishing time waste in data processing and to allow an innovative and comprehensive approach to brain connectivity.Materials and Methods. The MIBCA toolbox is a fully automated all-in-one connectivity toolbox that offers pre-processing, connectivity and graph theoretical analyses of multimodal image data such as diffusion-weighted imaging, functional magnetic resonance imaging (fMRI and positron emission tomography (PET. It was developed in MATLAB environment and pipelines well-known neuroimaging softwares such as Freesurfer, SPM, FSL, and Diffusion Toolkit. It further implements routines for the construction of structural, functional and effective or combined connectivity matrices, as well as, routines for the extraction and calculation of imaging and graph-theory metrics, the latter using also functions from the Brain Connectivity Toolbox. Finally, the toolbox performs group statistical analysis and enables data visualization in the form of matrices, 3D brain graphs and connectograms. In this paper the MIBCA toolbox is presented by illustrating its capabilities using multimodal image data from a group of 35 healthy subjects (19–73 years old with volumetric T1-weighted, diffusion tensor imaging, and resting state fMRI data, and 10 subjets with 18F-Altanserin PET data also.Results. It was observed both a high inter

  17. The gas market and sector in France. Situation and predictions 2018 - Sector and competitive analysis

    International Nuclear Information System (INIS)

    2017-01-01

    Through a detailed analysis of market determining factors, of evolutions of supply and demand, and of major events in firms life, this set of two reports proposes an analysis of the recent situation of the gas sector and of the evolutions of the competitive game. The first report on situation and predictions which is updated three times a year, proposes a synthesis on the consequences of the evolution of the economic environment, on major trends noticed for the sector, and on predictable evolutions. It proposes the most recent predictions regarding natural gas consumption in France and the turnover of the gas sector. It highlights recent events for companies of the sector: takeovers, investments, restructuring, introduction of new products, and so on. It proposes a sector-based dashboard which contains all the critical figures useful to analyse the sector situation (activity determining factors, key figures for the sector and its environment). The second report (the annual one) proposes an overview of trends and competition within the gas sector. It gives an overview of some basic aspects of the activity (sector organisation, gas categories, main customer markets, gas consumption in industry), and of its determining factors, analyses the sector environment (sites connected to the natural gas network, evolution of average temperatures in France, production by chemical industry, by the food industry, and by metallurgy and oil refining, thermal production of electricity, regulatory evolution regarding supports to energy efficiency, and new opportunities). The evolution of the sector activity is analysed through its trends and indicators (turnovers, gas consumption, butane-propane deliveries, wholesale prices, regulated tariffs). The economic structure is also analysed: aspects related to the upstream part (extraction, injection of biogas, natural gas main input and output points, transport and storage, natural gas distribution), and aspects related to gas provision

  18. Non-Price Competition and the Structure of the Online Information Industry: Q-Analysis of Medical Databases and Hosts.

    Science.gov (United States)

    Davies, Roy

    1987-01-01

    Discussion of the online information industry emphasizes the effects of non-price competition on its structure and the firms involved. Q-analysis is applied to data on medical databases and hosts, changes over a three-year period are identified, and an optimum structure for the industry based on economic theory is considered. (Author/LRW)

  19. 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

  20. 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.

  1. 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.

  2. Semiautomatic digital imaging system for cytogenetic analysis

    International Nuclear Information System (INIS)

    Chaubey, R.C.; Chauhan, P.C.; Bannur, S.V.; Kulgod, S.V.; Chadda, V.K.; Nigam, R.K.

    1999-08-01

    The paper describes a digital image processing system, developed indigenously at BARC for size measurement of microscopic biological objects such as cell, nucleus and micronucleus in mouse bone marrow; cytochalasin-B blocked human lymphocytes in-vitro; numerical counting and karyotyping of metaphase chromosomes of human lymphocytes. Errors in karyotyping of chromosomes by the imaging system may creep in due to lack of well-defined position of centromere or extensive bending of chromosomes, which may result due to poor quality of preparation. Good metaphase preparations are mandatory for precise and accurate analysis by the system. Additional new morphological parameters about each chromosome have to be incorporated to improve the accuracy of karyotyping. Though the experienced cytogenetisist is the final judge; however, the system assists him/her to carryout analysis much faster as compared to manual scoring. Further, experimental studies are in progress to validate different software packages developed for various cytogenetic applications. (author)

  3. 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...

  4. The French nuclear sector. Situation and predictions 2018 - Sectoral and competitive analysis

    International Nuclear Information System (INIS)

    2017-01-01

    This document comprises two reports. A first one, published and updated three times a year, and a second one which is a yearly publication. The first one, based on an analysis of market perspectives and of actor strategies, proposes a synthesis on the consequences of the evolution of the economic environment, on major trends noticed for the nuclear sector, and on predictable evolutions. It proposes the most recent data regarding the activities of more than 100 firms belonging to the sector (notably in terms of electric power production, of turnover for firms specialised in nuclear maintenance or in the fuel cycle). It highlights recent events for companies of the sector: takeovers, investments, restructuring, introduction of new products, and so on. It proposes a sector-based dashboard which contains all the critical figures useful to analyse the sector situation (activity determining factors, key figures for the sector and its environment). The annual report proposes a general presentation of the sector (determining factors of the activity, operated nuclear plants in the world, nuclear power production in the world, uranium production and consumption in the world, maintenance and improvement expenses on nuclear plants, electric power consumption and shares in power generation by different sources in France), an analysis of the evolution of the sector activity (trends, indicators, financial performance of actors in the maintenance of nuclear plants), an overview of important issues for the profession (growth issue despite the maturity of the French market, implications of intensification of foreign competition, of higher safety requirements, and of a decrease of nuclear energy profitability), and an analysis of the sector economic structure (turnovers, personnel, position of France among world exporters, equipment export structure, key figures for nuclear maintenance). The last part proposes presentations of 20 French actors and data and information sheets for 10

  5. THE IMPACT OF TAX SYSTEM ON GLOBAL COMPETITIVENESS. ANALYSIS ON THE LEVEL OF EUROPEAN UNION MEMBER STATES

    Directory of Open Access Journals (Sweden)

    Brandusa Tudose

    2015-07-01

    Full Text Available Summarizing the results of theoretical and empirical research, the paper aims to analyze the impact of tax system on global competitiveness through the following three variables: taxation on incentives to invest; total tax rate and taxation on incentives to work. Summarizing the analysis to the European Union member states, the paper presents rankings and provides interpretations for each case. Luxembourg is the country where there is registered: a the biggest impact on competitiveness of tax policies supporting investment, b the largest fiscal affordability (measured by GDP/capita and total tax rate and c the most generous labor taxation system in the EU. However, in the ranking realized based on the global competitiveness index Luxembourg ranks on the 22nd place, on the first place being Finland.

  6. 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.

  7. 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.

  8. Competitive strategy in turbulent healthcare markets: an analysis of financially effective teaching hospitals.

    Science.gov (United States)

    Langabeer, J

    1998-01-01

    As the healthcare marketplace, characterized by declining revenues and heavy price competition, continues to evolve toward managed care, teaching hospitals are being forced to act more like traditional industrial organizations. Profit-oriented behavior, including emphases on market strategies and competitive advantage, is now a necessity if these hospitals are going to survive the transition to managed care. To help teaching hospitals evaluate strategic options that maximize financial effectiveness, this study examined the financial and operating data for 100 major U.S. teaching hospitals to determine relationships among competitive strategy, market environment, and financial return on invested capital. Results should help major hospitals formulate more effective strategies to combat environmental turbulence.

  9. Image Analysis for Nail-fold Capillaroscopy

    OpenAIRE

    Vucic, Vladimir

    2015-01-01

    Detection of diseases in an early stage is very important since it can make the treatment of patients easier, safer and more ecient. For the detection of rheumatic diseases, and even prediction of tendencies towards such diseases, capillaroscopy is becoming an increasingly recognized method. Nail-fold capillaroscopy is a non-invasive imaging technique that is used for analysis of microcirculation abnormalities that may lead todisease like systematic sclerosis, Reynauds phenomenon and others. ...

  10. Thriving on Pressure: A Factor Mixture Analysis of Sport Performers' Responses to Competitive Encounters.

    Science.gov (United States)

    Brown, Daniel J; Arnold, Rachel; Standage, Martyn; Fletcher, David

    2017-12-01

    Although considerable research exists on performers' responses to sporting encounters, little is known about thriving in sport contexts. The current study examined if distinct response patterns existed between sport performers who thrived in competitive encounters compared with those who did not. Participants were 535 sport performers (134 women; M age  = 23.60 years, SD age  = 8.08; M competing  = 11.84 years, SD competing  = 7.11). Results of factor mixture analysis supported a four-profile solution comprising a thriving group (n = 146), a low-functioning group (n = 38), and two groups characterized by scores marginally above (n = 131) and below (n = 209) the sample mean. Profile membership was found to be predicted by personal enablers (viz., personal resilient qualities, psychological skills use) and process variables (viz., basic psychological need satisfaction and frustration, challenge appraisal). This examination of thriving in sport performers offers significant implications for research and practice.

  11. Analysis of market signals in a competitive electricity market using components of network rental

    International Nuclear Information System (INIS)

    Amarasinghe, L.Y.C.; Annakkage, U.D.

    2009-01-01

    In the competitive electricity market, Locational Marginal Prices (LMPs) are important pricing signals for the participants as the effects of transmission losses and binding constraints are embedded in LMPs. While these LMPs provide valuable information at each location, they do not provide a detailed description in terms of contributing terms. The LMP components, on the other hand, show the explicit decomposition of LMP into contributing components, and thus, can be considered as better market signals. However, the effects of transmission losses cannot be explicitly seen from the LMP components. In this paper, the components of network rental is proposed to be used as a method in analyzing market signals, by decomposing the network rental into contributing components among the consumers. Since, the network rental is the surplus paid by all the consumers, components of network rental show how each consumer has actually overpaid due to losses and each binding constraint separately. A case study is also presented to demonstrate the potential of this proposed method in market signal analysis. (author)

  12. Perbandingan Kualitas Layanan Ritel Swalayan Menggunakan Competitive Zone of Tolerance Based dan Importance-Performance Analysis

    Directory of Open Access Journals (Sweden)

    Arfan Bakhtiar

    2017-07-01

    Full Text Available Increased retail economic has had an impact on the Indonesian economy. Carrefour as an international company has a local company's competitor, Hypermart. In order for both companies to know the position of competing, then benchmarking done between them using CZIPA (Competitive Zone of Tolerance based Importance-Performance Analysis method. The use of CZIPA methods is done to determine the priority of each self-service in making improvements. The dimension used is the retail dimension called RSQS (Retail Service Quality Scale. The goal to be achieved is to know the superior service quality indicators owned by Carrefour and Hypermart and to make priority services to be improved on both self-service using RSQS dimensions. Data collected through questionnaire with purposive sampling method to 133 people. Research finds the main problem facing Carrefour is self-service layout that does not facilitate consumers to find the desired product. At Hypermart, the main problem is that the products in the catalog are not always available.

  13. Computerized analysis of brain perfusion parameter images

    International Nuclear Information System (INIS)

    Turowski, B.; Haenggi, D.; Wittsack, H.J.; Beck, A.; Aurich, V.

    2007-01-01

    Purpose: The development of a computerized method which allows a direct quantitative comparison of perfusion parameters. The display should allow a clear direct comparison of brain perfusion parameters in different vascular territories and over the course of time. The analysis is intended to be the basis for further evaluation of cerebral vasospasm after subarachnoid hemorrhage (SAH). The method should permit early diagnosis of cerebral vasospasm. Materials and Methods: The Angiotux 2D-ECCET software was developed with a close cooperation between computer scientists and clinicians. Starting from parameter images of brain perfusion, the cortex was marked, segmented and assigned to definite vascular territories. The underlying values were averages for each segment and were displayed in a graph. If a follow-up was available, the mean values of the perfusion parameters were displayed in relation to time. The method was developed under consideration of CT perfusion values but is applicable for other methods of perfusion imaging. Results: Computerized analysis of brain perfusion parameter images allows an immediate comparison of these parameters and follow-up of mean values in a clear and concise manner. Values are related to definite vascular territories. The tabular output facilitates further statistic evaluations. The computerized analysis is precisely reproducible, i. e., repetitions result in exactly the same output. (orig.)

  14. Image analysis and modeling in medical image computing. Recent developments and advances.

    Science.gov (United States)

    Handels, H; Deserno, T M; Meinzer, H-P; Tolxdorff, T

    2012-01-01

    Medical image computing is of growing importance in medical diagnostics and image-guided therapy. Nowadays, image analysis systems integrating advanced image computing methods are used in practice e.g. to extract quantitative image parameters or to support the surgeon during a navigated intervention. However, the grade of automation, accuracy, reproducibility and robustness of medical image computing methods has to be increased to meet the requirements in clinical routine. In the focus theme, recent developments and advances in the field of modeling and model-based image analysis are described. The introduction of models in the image analysis process enables improvements of image analysis algorithms in terms of automation, accuracy, reproducibility and robustness. Furthermore, model-based image computing techniques open up new perspectives for prediction of organ changes and risk analysis of patients. Selected contributions are assembled to present latest advances in the field. The authors were invited to present their recent work and results based on their outstanding contributions to the Conference on Medical Image Computing BVM 2011 held at the University of Lübeck, Germany. All manuscripts had to pass a comprehensive peer review. Modeling approaches and model-based image analysis methods showing new trends and perspectives in model-based medical image computing are described. Complex models are used in different medical applications and medical images like radiographic images, dual-energy CT images, MR images, diffusion tensor images as well as microscopic images are analyzed. The applications emphasize the high potential and the wide application range of these methods. The use of model-based image analysis methods can improve segmentation quality as well as the accuracy and reproducibility of quantitative image analysis. Furthermore, image-based models enable new insights and can lead to a deeper understanding of complex dynamic mechanisms in the human body

  15. The Digital Image Processing And Quantitative Analysis In Microscopic Image Characterization

    International Nuclear Information System (INIS)

    Ardisasmita, M. Syamsa

    2000-01-01

    Many electron microscopes although have produced digital images, but not all of them are equipped with a supporting unit to process and analyse image data quantitatively. Generally the analysis of image has to be made visually and the measurement is realized manually. The development of mathematical method for geometric analysis and pattern recognition, allows automatic microscopic image analysis with computer. Image processing program can be used for image texture and structure periodic analysis by the application of Fourier transform. Because the development of composite materials. Fourier analysis in frequency domain become important for measure the crystallography orientation. The periodic structure analysis and crystal orientation are the key to understand many material properties like mechanical strength. stress, heat conductivity, resistance, capacitance and other material electric and magnetic properties. In this paper will be shown the application of digital image processing in microscopic image characterization and analysis in microscopic image

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

    International Nuclear Information System (INIS)

    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-serviceclose 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

  17. 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.

  18. 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.

  19. Competition in health insurance markets: limitations of current measures for policy analysis.

    Science.gov (United States)

    Scanlon, Dennis P; Chernew, Michael; Swaminathan, Shailender; Lee, Woolton

    2006-12-01

    Health care reform proposals often rely on increased competition in health insurance markets to drive improved performance in health care costs, access, and quality. We examine a range of data issues related to the measures of health insurance competition used in empirical studies published from 1994-2004. The literature relies exclusively on market structure and penetration variables to measure competition. While these measures are correlated, the degree of correlation is modest, suggesting that choice of measure could influence empirical results. Moreover, certain measurement issues such as the lack of data on PPO enrollment, the treatment of small firms, and omitted market characteristics also could affect the conclusions in empirical studies. Importantly, other types of measures related to competition (e.g., the availability of information on price and outcomes, degree of entry barriers, etc.) are important from both a theoretical and policy perspective, but their impact on market outcomes has not been widely studied.

  20. An Industry Analysis of the MBA Market and the Competitive Positioning of the GSBPP

    National Research Council Canada - National Science Library

    Hager, Garrett W; King, Thomas T

    2007-01-01

    .... The intent of this project is to create an awareness of how these competitive forces: shape the MBA market, define the relationships hetween stakeholders within the market, and affect the overall attractiveness of the MBA market...

  1. An Analysis of the Competitive Strategy in the Industry Providing a Defense System of Systems

    National Research Council Canada - National Science Library

    Melone, James

    2000-01-01

    .... Both the 1996 Defense Science Board Report on Vertical Integration and DoD's 1999 report on Price Based Acquisition recommend that DoD take steps to further understanding of competitive conditions...

  2. Analysis of Structural Changes and Competitiveness of East Asian Exports after the Currency Crisis

    Directory of Open Access Journals (Sweden)

    Wangjoong Kim

    1999-06-01

    Full Text Available This thesis analyzed the export structure and competitive relation of Eastern Asia after the economic crisis in 1997. After the crisis, the export of Eastern Asia slowed down; especially the economic stagnation of Eastern Asia resulted in the big scale decrease in export in that area. Under this situation, Eastern Asia began more and more depending on the export of America. The competition among the Eastern Asia countries takes on a fiercer situation in American market. On the other hand, observing the export competition among the Eastern Asia countries in American market around the foreign exchange crisis period in aspects such as the market share, the extent of export competition and the index of MCA, the result is that Korea has fallen behind the other countries of Asia including China. The export-oriented economy of Korea has been pinned down. Especially considering the importance of export after foreign exchange crisis, this will be a disconcerting problem.

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

    Directory of Open Access Journals (Sweden)

    V.P. Martsiv

    2014-12-01

    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.

  4. COMPARATIVE ANALYSIS OF COMPETITIVE STATE ANXIETY AMONG TEAM SPORT AND INDIVIDUAL SPORT ATHLETES IN IRAN

    OpenAIRE

    Soltani Hossein; Hojati Zahra; Reza Attarzadeh Hossini Seyed

    2016-01-01

    Purpose: With respect to the fact that every sport field has its own special nature, the aim of present study was to compare competitive state anxiety among team sport and individual sport athletes in Iran. Material: The statistic sample included 120 male athletes, 60 athletes in individual sports (wrestling, taekwondo and karate) and 60 athletes in team sports (futsal, volleyball and basketball). The research instrument employed was the Persian version of the Competitive State Anxiety Invent...

  5. AN ANALYSIS OF FEMALE ENTREPRENEURSHIP AND INNOVATION IN SERBIA IN THE CONTEXT OF EU COMPETITIVENESS

    OpenAIRE

    Sanja Popovic Pantic

    2014-01-01

    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,...

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

    OpenAIRE

    Margherita ANGIONI; Francesco DONINI

    2017-01-01

    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 compa...

  7. Analysis of Telecommunication Markets of India, Singapore and Thailandand and Research Their Global Competitiveness

    OpenAIRE

    HUANG, JU-HAN

    2011-01-01

    The objective of this paper is to investigate the telecommunication markets in India, Singapore and Thailand in order to find the potentiality of the markets which could be considered by the company to expand its business in telecommunication field and also to take a proper strategy. Michael Porter proposed a model that allows analyzing why some nations are more competitive than others are, and why some industries within nations are more competitive than others are. (Porter, 1990) Porter beli...

  8. Does certificate of need law enhance competition in inpatient care market? An empirical analysis.

    Science.gov (United States)

    Paul, Jomon A; Ni, Huan; Bagchi, Aniruddha

    2017-06-29

    This article investigates the impact of Certificate of Need (CON) laws on competition in the inpatient care market. One of the major criticisms of these laws is that it may hinder competition in the health care market, which can lead to higher prices. However, from a theoretical standpoint, CON laws could also promote competition by limiting excessive expansion from incumbents. Our main conclusion is that CON laws by and large enhanced competition in the inpatient market during the period of our study. This indicates that the effects of CON laws to hinder predatory behavior could dominate its effects of preventing new entrants into the inpatient care market. We do not find statistically significant evidence to reject the exogeneity assumption of either CON laws or their stringency in our study. We also find factors such as proportion of population aged 18-44, proportion of Asian American population, obesity rate, political environment, etc., in a state significantly impact competition. Our findings could shed some light to public policy makers when deciding the appropriate health programs or legislative framework to promote health care market competition and thereby facilitate quality health care.

  9. Competition and network expansion in the electricity market: an analysis of producers' strategic behavior

    International Nuclear Information System (INIS)

    Fumagalli, Elena; Garrone, Paola; Internullo, Marco

    2006-01-01

    Expansion of the transmission capacity is ODe of the most efficient means of enhancing competition in electricity markets. The issue is extremely relevant far the Italian electricity market, where competition in generation has not Jet been achieved. In order to study the effects on competition of a network expansion project, a description of the influence of transmission constraints on the strategic behavior of generators is necessary. The problem was addressed in the literature far a limited number only of simplified models. This work presents an original methodology (MIXEL), based on non-cooperative game theory, far the study of a rather broad set of electricity market models. The case study illustrated in this article, shows that the effects on competition of an expansion of the network is not always positive (or as positive) as expected, given the cases illustrated in the literature. The effects on competition vary with the market structure, the ratio between demand and supply and, above all, the size of the transmission capacity expansion. For these reasons, policy provisions mandating or encouraging expansion of the transmission system with the objective of promoting competition, should take into careful consideration the underlying market structure; in a similar way, provision encouraging divestiture of generation capacity should take into account the effects of the network [it

  10. 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.

  11. 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...

  12. [Imaging Mass Spectrometry in Histopathologic Analysis].

    Science.gov (United States)

    Yamazaki, Fumiyoshi; Seto, Mitsutoshi

    2015-04-01

    Matrix-assisted laser desorption/ionization (MALDI)-imaging mass spectrometry (IMS) enables visualization of the distribution of a range of biomolecules by integrating biochemical information from mass spectrometry with positional information from microscopy. IMS identifies a target molecule. In addition, IMS enables global analysis of biomolecules containing unknown molecules by detecting the ratio of the molecular weight to electric charge without any target, which makes it possible to identify novel molecules. IMS generates data on the distribution of lipids and small molecules in tissues, which is difficult to visualize with either conventional counter-staining or immunohistochemistry. In this review, we firstly introduce the principle of imaging mass spectrometry and recent advances in the sample preparation method. Secondly, we present findings regarding biological samples, especially pathological ones. Finally, we discuss the limitations and problems of the IMS technique and clinical application, such as in drug development.

  13. Machine Learning Interface for Medical Image Analysis.

    Science.gov (United States)

    Zhang, Yi C; Kagen, Alexander C

    2017-10-01

    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.

  14. Phase Image Analysis in Conduction Disturbance Patients

    International Nuclear Information System (INIS)

    Kwark, Byeng Su; Choi, Si Wan; Kang, Seung Sik; Park, Ki Nam; Lee, Kang Wook; Jeon, Eun Seok; Park, Chong Hun

    1994-01-01

    It is known that the normal His-Purkinje system provides for nearly synchronous activation of right (RV) and left (LV) ventricles. When His-Purkinje conduction is abnormal, the resulting sequence of ventricular contraction must be correspondingly abnormal. These abnormal mechanical consequences were difficult to demonstrate because of the complexity and the rapidity of its events. To determine the relationship of the phase changes and the abnormalities of ventricular conduction, we performed phase image analysis of Tc-RBC gated blood pool scintigrams in patients with intraventricular conduction disturbances (24 complete left bundle branch block (C-LBBB), 15 complete right bundle branch block (C-RBBB), 13 Wolff-Parkinson-White syndrome (WPW), 10 controls). The results were as follows; 1) The ejection fraction (EF), peak ejection rate (PER), and peak filling rate (PFR) of LV in gated blood pool scintigraphy (GBPS) were significantly lower in patients with C-LBBB than in controls (44.4 ± 13.9% vs 69.9 ± 4.2%, 2.48 ± 0.98 vs 3.51 ± 0,62, 1.76 ± 0.71 vs 3.38 ± 0.92, respectively, p<0.05). 2) In the phase angle analysis of LV, Standard deviation (SD), width of half maximum of phase angle (FWHM), and range of phase angle were significantly increased in patients with C-LBBB than in controls (20.6 + 18.1 vs S.6 + I.8, 22. 5 + 9.2 vs 16.0 + 3.9, 95.7 + 31.7 vs 51.3 + 5.4, respectively, p<0.05). 3) There was no significant difference in EF, PER, PFR between patients with the WolffParkinson-White syndrome and controls. 4) Standard deviation and range of phase angle were significantly higher in patients with WPW syndrome than in controls (10.6 + 2.6 vs 8.6 + 1.8, p<0.05, 69.8 + 11.7 vs 51.3 + 5 4, p<0.001, respectively), however, there was no difference between the two groups in full width of half maximum. 5) Phase image analysis revealed relatively uniform phase across the both ventriles in patients with normal conduction, but markedly delayed phase in the left ventricle

  15. Phase Image Analysis in Conduction Disturbance Patients

    Energy Technology Data Exchange (ETDEWEB)

    Kwark, Byeng Su; Choi, Si Wan; Kang, Seung Sik; Park, Ki Nam; Lee, Kang Wook; Jeon, Eun Seok; Park, Chong Hun [Chung Nam University Hospital, Daejeon (Korea, Republic of)

    1994-03-15

    It is known that the normal His-Purkinje system provides for nearly synchronous activation of right (RV) and left (LV) ventricles. When His-Purkinje conduction is abnormal, the resulting sequence of ventricular contraction must be correspondingly abnormal. These abnormal mechanical consequences were difficult to demonstrate because of the complexity and the rapidity of its events. To determine the relationship of the phase changes and the abnormalities of ventricular conduction, we performed phase image analysis of Tc-RBC gated blood pool scintigrams in patients with intraventricular conduction disturbances (24 complete left bundle branch block (C-LBBB), 15 complete right bundle branch block (C-RBBB), 13 Wolff-Parkinson-White syndrome (WPW), 10 controls). The results were as follows; 1) The ejection fraction (EF), peak ejection rate (PER), and peak filling rate (PFR) of LV in gated blood pool scintigraphy (GBPS) were significantly lower in patients with C-LBBB than in controls (44.4 +- 13.9% vs 69.9 +- 4.2%, 2.48 +- 0.98 vs 3.51 +- 0,62, 1.76 +- 0.71 vs 3.38 +- 0.92, respectively, p<0.05). 2) In the phase angle analysis of LV, Standard deviation (SD), width of half maximum of phase angle (FWHM), and range of phase angle were significantly increased in patients with C-LBBB than in controls (20.6 + 18.1 vs S.6 + I.8, 22. 5 + 9.2 vs 16.0 + 3.9, 95.7 + 31.7 vs 51.3 + 5.4, respectively, p<0.05). 3) There was no significant difference in EF, PER, PFR between patients with the WolffParkinson-White syndrome and controls. 4) Standard deviation and range of phase angle were significantly higher in patients with WPW syndrome than in controls (10.6 + 2.6 vs 8.6 + 1.8, p<0.05, 69.8 + 11.7 vs 51.3 + 5 4, p<0.001, respectively), however, there was no difference between the two groups in full width of half maximum. 5) Phase image analysis revealed relatively uniform phase across the both ventriles in patients with normal conduction, but markedly delayed phase in the left ventricle

  16. A report on digital image processing and analysis

    International Nuclear Information System (INIS)

    Singh, B.; Alex, J.; Haridasan, G.

    1989-01-01

    This report presents developments in software, connected with digital image processing and analysis in the Centre. In image processing, one resorts to either alteration of grey level values so as to enhance features in the image or resorts to transform domain operations for restoration or filtering. Typical transform domain operations like Karhunen-Loeve transforms are statistical in nature and are used for a good registration of images or template - matching. Image analysis procedures segment grey level images into images contained within selectable windows, for the purpose of estimating geometrical features in the image, like area, perimeter, projections etc. In short, in image processing both the input and output are images, whereas in image analyses, the input is an image whereas the output is a set of numbers and graphs. (author). 19 refs

  17. Analysis of Traits Related to Weed Competitiveness in Sweet Corn (Zea mays L.

    Directory of Open Access Journals (Sweden)

    Natalia de Leon

    2012-03-01

    Full Text Available Weed management in sweet corn can be costly; genetic improvements in sweet corn competitiveness may reduce this expense. Competitive ability can exist as weed suppressive ability (WSA, or crop tolerance (CT. Previous studies in corn have found year of hybrid release, maturity, plant height, leaf angle and leafiness may affect WSA, while hybrid era, maturity, and plant height may affect CT. However, many of these studies were limited to very few genotypes. The objective of this study was to assess the effects of phenomorphological traits on sweet corn competitiveness and the inheritance of these traits. An incomplete half-diallel from seven historic sweet corn inbred lines of varying morphologies was evaluated in a split-block randomized complete block design in three environments. Forage sorghum was interplanted in half of the blocks to act as a model weed. Significant differences among hybrids were generally found for both phenomorphological traits and traits measuring WSA and CT, such as sorghum biomass and yield stability, respectively. Crop plant height was most predictive of WSA and CT. In this set of genotypes, competitive ability may be passed with reasonable fidelity from parent to offspring, suggesting that sweet corn could be bred for competitive ability.

  18. Uses of software in digital image analysis: a forensic report

    Science.gov (United States)

    Sharma, Mukesh; Jha, Shailendra

    2010-02-01

    Forensic image analysis is required an expertise to interpret the content of an image or the image itself in legal matters. Major sub-disciplines of forensic image analysis with law enforcement applications include photo-grammetry, photographic comparison, content analysis and image authentication. It has wide applications in forensic science range from documenting crime scenes to enhancing faint or indistinct patterns such as partial fingerprints. The process of forensic image analysis can involve several different tasks, regardless of the type of image analysis performed. Through this paper authors have tried to explain these tasks, which are described in to three categories: Image Compression, Image Enhancement & Restoration and Measurement Extraction. With the help of examples like signature comparison, counterfeit currency comparison and foot-wear sole impression using the software Canvas and Corel Draw.

  19. Energy and competitiveness - Notes of the Economic Analysis Council, Nr. 6

    International Nuclear Information System (INIS)

    Bureau, Dominique; Fontagne, Lionel; Martin, Philippe

    2013-05-01

    This note aims at analyzing the impact of a possible increase of energy prices on the French competitiveness, and more particularly on the performance of exporting companies, while trying to make a distinction between short-term and long-term effects. A first part proposes a diagnosis of the French loss of competitiveness. The second part analyzes the energy prices in France for industries with comparisons with other countries (electricity price, tariffs and production cost). The next part addresses mechanisms relating competitiveness and energy price on a short, medium or long term. Then the authors try to assess at the enterprise level how exports react to energy price variations. The last part contains recommendations for an economic policy

  20. ANALYSIS THE SUSTAINABLE MANAGEMENT OF TOURIST DESTINATION INFLUENCE ON THE COMPETITIVE ADVANTAGE. CASE STUDY: ROMANIA

    Directory of Open Access Journals (Sweden)

    Virgil NICULA

    2017-12-01

    Full Text Available In an ever changing and competitive environment, the tourism industry of each country must be developed in a sustainable manner, able to generate substantial economic benefits for key stakeholders and minimize negative environmental impacts. Thus, the pronounced dynamism of the tourism sector currently makes tourist destinations to be in fierce competition where the long-term success is conditioned by the sustainable development strategy adopted and operationalized by management organizations destinations. In this context, the minimum requirements for sustainable tourism development are: supporting the diversity of ecosystems; conservation and management of natural resources; finding ways to reduce uncontrolled population growth and unification of national decisions concerning the environment and the economy. Based on these considerations and the fact that Romania has a valuable ecotourism potential, internationally recognized by profile associations and other stakeholders, this paper presents an overview regarding the way in which sustainable management of tourist destination influence obtaining sustainable competitive advantage.

  1. 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.

  2. 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

    2013-03-01

    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.

  3. Analysis of image plane's Illumination in Image-forming System

    International Nuclear Information System (INIS)

    Duan Lihua; Zeng Yan'an; Zhang Nanyangsheng; Wang Zhiguo; Yin Shiliang

    2011-01-01

    In the detection of optical radiation, the detecting accuracy is affected by optic power distribution of the detector's surface to a large extent. In addition, in the image-forming system, the quality of the image is greatly determined by the uniformity of the image's illumination distribution. However, in the practical optical system, affected by the factors such as field of view, false light and off axis and so on, the distribution of the image's illumination tends to be non uniform, so it is necessary to discuss the image plane's illumination in image-forming systems. In order to analyze the characteristics of the image-forming system at a full range, on the basis of photometry, the formulas to calculate the illumination of the imaging plane have been summarized by the numbers. Moreover, the relationship between the horizontal offset of the light source and the illumination of the image has been discussed in detail. After that, the influence of some key factors such as aperture angle, off-axis distance and horizontal offset on illumination of the image has been brought forward. Through numerical simulation, various theoretical curves of those key factors have been given. The results of the numerical simulation show that it is recommended to aggrandize the diameter of the exit pupil to increase the illumination of the image. The angle of view plays a negative role in the illumination distribution of the image, that is, the uniformity of the illumination distribution can be enhanced by compressing the angle of view. Lastly, it is proved that telecentric optical design is an effective way to advance the uniformity of the illumination distribution.

  4. Analysis on the inbound tourist source market in Jiangxi based on geographic concentration index and market competition status

    Science.gov (United States)

    Yu, Tong; Ye, Yue-li

    2018-05-01

    In accordance with the related data of Statistical Yearbook of Jiangxi (2007—2016), conduct analysis on the development situation of inbound tourist source market in Jiangxi based on geographic concentration index and market competition status. The result shows: when the geographic concentration index of the inbound tourism market in Jiangxi presents an increasing decline trend, the tourism-generating countries of the inbound tourism in Jiangxi are getting more and more disperse, the tourist markets present the diversified feature and the inbound tourism market tends to be stable; besides, the analysis result of the market competition status shows that the inbound tourism development in Jiangxi has transformed from the rapid development to stable development.

  5. 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.

  6. Competition in the Malaysian Airline Industry: An Exploratory Study using Game-Theoretical and Empirical Analysis

    OpenAIRE

    Ho, Kevin Swee Aun

    2005-01-01

    The competitive landscape of the Malaysian airline industry is facing changes due to the presence of a low-cost carrier, AirAsia. AirAsia has gain much market share by introducing low-fares much to the expense of the national carrier, MAS. Due to the increased competition, the national carrier must react in order to stop the decline of its domestic operations. This aim of this study is to understand the strategies of the two dominant carriers in the Malaysian airline industry, MAS and AirAsia...

  7. Difference Image Analysis of Galactic Microlensing. I. Data Analysis

    Energy Technology Data Exchange (ETDEWEB)

    Alcock, C.; Allsman, R. A.; Alves, D.; Axelrod, T. S.; Becker, A. C.; Bennett, D. P.; Cook, K. H.; Drake, A. J.; Freeman, K. C.; Griest, K. (and others)

    1999-08-20

    This is a preliminary report on the application of Difference Image Analysis (DIA) to Galactic bulge images. The aim of this analysis is to increase the sensitivity to the detection of gravitational microlensing. We discuss how the DIA technique simplifies the process of discovering microlensing events by detecting only objects that have variable flux. We illustrate how the DIA technique is not limited to detection of so-called ''pixel lensing'' events but can also be used to improve photometry for classical microlensing events by removing the effects of blending. We will present a method whereby DIA can be used to reveal the true unblended colors, positions, and light curves of microlensing events. We discuss the need for a technique to obtain the accurate microlensing timescales from blended sources and present a possible solution to this problem using the existing Hubble Space Telescope color-magnitude diagrams of the Galactic bulge and LMC. The use of such a solution with both classical and pixel microlensing searches is discussed. We show that one of the major causes of systematic noise in DIA is differential refraction. A technique for removing this systematic by effectively registering images to a common air mass is presented. Improvements to commonly used image differencing techniques are discussed. (c) 1999 The American Astronomical Society.

  8. COMPETITIVENESS AND COMPETITIVE ORIENTATIONS: EVALUATION OF STUDENTS

    Directory of Open Access Journals (Sweden)

    G. Z. Efimova

    2017-01-01

    Full Text Available Introduction. Education of a competitive student is a strategically significant problem of the system of higher education in modern social and economic conditions. Personal competitiveness and competitive orientations – priority quality of future expert for successful future professional experience.The aim of the present research is to study factors of competitive orientations formation and criteria for evaluation of competitiveness of student’s youth in the Russian society.Methodology and research methods. Results of theoretical researches of Russian and foreign researchers are generalized; secondary analysis of data based on results of sociological researches and analysis of official statistical data are carried out. The results of the sociological survey undertaken in 2017 on the basis of statistical methods were processed and studied by the instrumentality of IBM SPSS Statistics 23 program; 1196 students of institutions of higher and secondary vocational education of the Tyumen region took part.Results and scientific novelty. It is stated that senior students feel themselves more competitive. It is revealed that a quarter of students who took part in the survey, generally men, count themselves competitive. A continuous distance of goal-setting is recorded among these respondents; in every third case they have plans of professional growth for five and more years that allows them to build attractive competitive strategy.The level of the competitiveness is directly connected with such indicators as “social stratum”, “overall life satisfaction”, “self-esteem of health”, “tendency to lead a healthy lifestyle” and “the level of trust in the surrounding people”. Mostly the students oriented on competition look into the future with confidence and optimism.Respondents focused on the competitiveness were more tend to demonstrate their abilities and cause admiration, have a creative approach towards work, be ready for surprises

  9. The Competitive Perception

    OpenAIRE

    Lima, João Tiago

    2012-01-01

    This paper aims to define what competitive perception is. Using Dufrenne’s phenomenological analysis of the art spectator’s experience, namely the concept of aesthetic perception, I will claim that it is useful to apply this phenomenological approach to the experience of watching sport events. I will argue that the concepts of uncertainty and auto teleology, being two main features in sport competition, are helpful to define competitive perception.

  10. 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…

  11. An expert image analysis system for chromosome analysis application

    International Nuclear Information System (INIS)

    Wu, Q.; Suetens, P.; Oosterlinck, A.; Van den Berghe, H.

    1987-01-01

    This paper reports a recent study on applying a knowledge-based system approach as a new attempt to solve the problem of chromosome classification. A theoretical framework of an expert image analysis system is proposed, based on such a study. In this scheme, chromosome classification can be carried out under a hypothesize-and-verify paradigm, by integrating a rule-based component, in which the expertise of chromosome karyotyping is formulated with an existing image analysis system which uses conventional pattern recognition techniques. Results from the existing system can be used to bring in hypotheses, and with the rule-based verification and modification procedures, improvement of the classification performance can be excepted

  12. 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.

  13. 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...

  14. 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.

  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. A multicriterial analysis of national competitiveness: Evidences for a resilient economy

    Directory of Open Access Journals (Sweden)

    Sima Violeta

    2017-01-01

    Full Text Available This article is structured in three parts, as follows: In the first part, we summarized the different approaches of national competitiveness in the literature on the economic performance assessment, using specific indexes: Global Competitiveness Index (GCI, Ecological Performance Index (EPI, and Human Development Index (HDI, highlighting their advantages and limitations. These variables were analyzed ante-crisis and ex-crisis, assuming that the economic recession could generate some effects. Data sources are presented at the beginning of the 'Results and discussion' paragraph. Considering the diversity of the issues and the inhomogeneity of data describing those issues, GDP was used along with the four composite indicators: GCI, EPI, HDI, and Economic Resilience Index (ERI. The third part presents the main findings and their implications. Thus, a downward trend of the evolution of Romania's economic resilience index during 2008-2014 was observed. This decline appears to be due largely to the decrease in Social development sub-index and in Governance sub-index. The low level of the Romanian economy resilience is mainly explained by the low level of competitiveness and productivity of production factors. The obtained outcomes suggest that in addition to national competitiveness assessing, ERI evaluation is important because it can reveal the hidden sources of vulnerability of the economy to external shocks.

  17. Socio-economic Segregation with (without) Competitive Education Policies: A Comparative Analysis of Argentina and Chile.

    Science.gov (United States)

    Narodowski, Mariano; Nores, Milagros

    2002-01-01

    The view that competition initiatives in education, such as Chile's introduction of vouchers, promote socioeconomic segregation in schools is questioned. Chile and Argentina have faced very different decentralization reforms, carried out within different regulatory frameworks, but have arrived at similar situations in terms of schools'…

  18. 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…

  19. 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…

  20. 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

  1. Analysis of actual state on enterprise competitive intelligence at internal and abroad

    International Nuclear Information System (INIS)

    Li Nansheng

    2010-01-01

    Based on the actual state of the enterprise competitive intelligence at internal and abroad and on the point of view of practice and theory, it sets forth the character of ci and the influence on the enterprise, analyzes objectivity the questions and the challenges in using CI in our country, brings up the methods and channels in setting up the CIS. (author)

  2. 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.

  3. In silico analysis of the competition between Streptococcus sanguinis and Streptococcus mutans in the dental biofilm.

    Science.gov (United States)

    Valdebenito, B; Tullume-Vergara, P O; González, W; Kreth, J; Giacaman, R A

    2018-04-01

    During dental caries, the dental biofilm modifies the composition of the hundreds of involved bacterial species. Changing environmental conditions influence competition. A pertinent model to exemplify the complex interplay of the microorganisms in the human dental biofilm is the competition between Streptococcus sanguinis and Streptococcus mutans. It has been reported that children and adults harbor greater numbers of S. sanguinis in the oral cavity, associated with caries-free teeth. Conversely, S. mutans is predominant in individuals with a high number of carious lesions. Competition between both microorganisms stems from the production of H 2 O 2 by S. sanguinis and mutacins, a type of bacteriocins, by S. mutans. There is limited evidence on how S. sanguinis survives its own H 2 O 2 levels, or if it has other mechanisms that might aid in the competition against S. mutans, nonetheless. We performed a genomic and metabolic pathway comparison, coupled with a comprehensive literature review, to better understand the competition between these two species. Results indicated that S. sanguinis can outcompete S. mutans by the production of an enzyme capable of metabolizing H 2 O 2 . S. mutans, however, lacks the enzyme and is susceptible to the peroxide from S. sanguinis. In addition, S. sanguinis can generate energy through gluconeogenesis and seems to have evolved different communication mechanisms, indicating that novel proteins may be responsible for intra-species communication. © 2017 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

  4. COMPARATIVE ANALYSIS OF LEADING PORTS OF LATVIA: COMPETITIVENESS OF LIEPAJA PORT

    Directory of Open Access Journals (Sweden)

    Diāna Līduma

    2015-06-01

    Full Text Available There are 10 operating ports in Latvia and 3 of them – Liepaja, Ventspils and Riga ports are regarded as the leading commercial ports. Role of port operation in the economics of region and country is essential from the point of view of employment and entrepreneurship. This is based with data on investment of operation of Latvian ports in GDP, on average it is assessed to be 5-7% annually. In the context of employment, Liepaja Port gives work to 6.9% of human resources of the city. However, concern about the competitiveness of Liepaja Port influenced by the proximity of more developed competitive ports, technical possibilities of the port and dynamics of freight turnover has occurred in recent years. Therewith in framework of this article in the context of such criteria as location of ports and their technical parameters, volumes of freight, specialization and costs of ports, the operation of leading ports of Latvia is intercompared and analyzed by clarifying whether Liepaja Port is competitive among other ports of Latvia. Opinions of port experts on perspectives of port development and statistical data of ports from 2011-2013 are analyzed within the framework of the article. The aim of the research is to clarify the comparative advantages of ports of Latvia. The research revealed that the provision of competitiveness of Liepaja Port is to be related with application of the available free territories, advantages of location in relation to the Scandinavian market, and the necessity to develop the cooperation among ports of Latvia to offer joint freight acquisition, distributions and unified logistics solution and strengthen the position of ports in the circumstances of international competition.

  5. Competition between convection and diffusion in a metal halide lamp, investigated by numerical simulations and imaging laser absorption spectroscopy

    NARCIS (Netherlands)

    Beks, M.L.; Flikweert, A.J.; Nimalasuriya, T.; Stoffels, W.W.; Mullen, van der J.J.A.M.

    2008-01-01

    The effect of the competition between convection and diffusion on the distribution of metal halide additives in a high pressure mercury lamp has been examined by placing COST reference lamps with mercury fillings of 5 and 10 mg in a centrifuge. By subjecting them to different accelerational

  6. On the relationship between competitive flow and FFT analysis of the flow waves in the left internal mammary artery graft in the process of CABG.

    Science.gov (United States)

    Mao, Boyan; Wang, Wenxin; Zhao, Zhou; Zhao, Xi; Li, Lanlan; Zhang, Huixia; Liu, Youjun

    2016-12-28

    During coronary artery bypass grafting (CABG), the ratio of powers of the fundamental frequency and its first harmonic (F0/H1) in fast Fourier transformation (FFT) analysis of the graft's flow waves has been used in the field of evaluation of the patency in anastomosis. But there is no report about using the FFT method to evaluate the magnitude of competitive flow. This study is aiming at exploring the relationship between competitive flow and FFT analysis of the flow waves in left internal mammary artery (LIMA) graft, and finding a new method to evaluate the magnitude of competitive flow. At first, establishing the CABG multiscale models of different stenosis in left anterior descending artery (LAD) to get different magnitude of competitive flows. Then, calculating the models by ANSYS-CFX and getting the flow waves in LIMA. Finally, analyzing the flow waves by FFT method and comparing the FFT results with the magnitude of competitive flow. There is no relationship between competitive flow and F0/H1. As for F0/H2 and F0/H3, they both increase with the reduction of the stenosis in LAD. But the increase of F0/H3 is not obviously enough and it can't identify the significant competitive flow clearly, so it can't be used as the evaluation index. It is found that F0/H2 increases obviously with the increase of the competitive flow and can identify the significant competitive flow. The FFT method can be used in the evaluation of competitive flow and the F0/H2 is the ideal index. High F0/H2 refers to the significant competitive flow. This method can be used during CABG to avoid the risk of competitive flow.

  7. Application of automatic image analysis in wood science

    Science.gov (United States)

    Charles W. McMillin

    1982-01-01

    In this paper I describe an image analysis system and illustrate with examples the application of automatic quantitative measurement to wood science. Automatic image analysis, a powerful and relatively new technology, uses optical, video, electronic, and computer components to rapidly derive information from images with minimal operator interaction. Such instruments...

  8. Brain-inspired algorithms for retinal image analysis

    NARCIS (Netherlands)

    ter Haar Romeny, B.M.; Bekkers, E.J.; Zhang, J.; Abbasi-Sureshjani, S.; Huang, F.; Duits, R.; Dasht Bozorg, Behdad; Berendschot, T.T.J.M.; Smit-Ockeloen, I.; Eppenhof, K.A.J.; Feng, J.; Hannink, J.; Schouten, J.; Tong, M.; Wu, H.; van Triest, J.W.; Zhu, S.; Chen, D.; He, W.; Xu, L.; Han, P.; Kang, Y.

    2016-01-01

    Retinal image analysis is a challenging problem due to the precise quantification required and the huge numbers of images produced in screening programs. This paper describes a series of innovative brain-inspired algorithms for automated retinal image analysis, recently developed for the RetinaCheck

  9. 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

  10. Retail competition

    International Nuclear Information System (INIS)

    1998-01-01

    Retail competition as the cornerstone of a competitive electricity marketplace was the subject of the seventh in the series of policy discussion papers developed at the Market Design Conference. Concern was expressed that because of the complexities involved in market design and technical implementation, the retail competition may lag behind other elements of the implementation of the new market design. A variety of key issues were debated, including the role of physical versus financial contracts, the form of retail competition and financial settlement systems in the short term, the requirement to separate 'competitive' (metering, billing, maintenance, consumer education) from non-competitive' (the transmission wires) services and the role of municipal electric utilities. It was agreed that the IMO should play an important role in defining and enforcing the separation of services, and that as a general rule, the development of policy in this area should be guided by the principle of maximizing the potential for competition

  11. 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. Copyright © 2014 Elsevier Ltd. All rights reserved.

  12. 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

  13. Competitive effects and instruments of power sector reforms. International reform concepts blockade structures, risk distribution. A political economy analysis

    International Nuclear Information System (INIS)

    Liebchen, Armin

    2014-01-01

    Power sectors with weak or inadequate competition structures are the rule, despite numerous attempts at reform. But can afford modern economies this defect for a long time? Why can the implementation of competition are blocked so effectively? The author studied international reform experiences and opens up interesting insights that can also reflect on problems of the German energy turnaround: The difficulty of timing and coordination of the reform components, the development of resistance levels of individual interest groups, breach of contract as a rational alternative, causes unwanted price effects, shifting interest situations of major stakeholders, change dynamics impending regulatory risks, pending financing risks, stranded cost-conflict situations for power stations disconnected from the grid and facilities and instruments of a political and regulatory risk management for reforms. With numerous examples, background analyzes and instruments to reform analysis, this book is aimed at investors, policy planners and analysts. [de

  14. An image scanner for real time analysis of spark chamber images

    International Nuclear Information System (INIS)

    Cesaroni, F.; Penso, G.; Locci, A.M.; Spano, M.A.

    1975-01-01

    The notes describes the semiautomatic scanning system at LNF for the analysis of spark chamber images. From the projection of the images on the scanner table, the trajectory in the real space is reconstructed

  15. Textural features for radar image analysis

    Science.gov (United States)

    Shanmugan, K. S.; Narayanan, V.; Frost, V. S.; Stiles, J. A.; Holtzman, J. C.

    1981-01-01

    Texture is seen as an important spatial feature useful for identifying objects or regions of interest in an image. While textural features have been widely used in analyzing a variety of photographic images, they have not been used in processing radar images. A procedure for extracting a set of textural features for characterizing small areas in radar images is presented, and it is shown that these features can be used in classifying segments of radar images corresponding to different geological formations.

  16. Analysis of RTM extended images for VTI media

    KAUST Repository

    Li, Vladimir; Tsvankin, Ilya; Alkhalifah, Tariq Ali

    2015-01-01

    velocity analysis remain generally valid in the extended image space for complex media. The dependence of RMO on errors in the anisotropy parameters provides essential insights for anisotropic wavefield tomography using extended images.

  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. Competitiveness of Dairy Farms In Northern Europe: A Cross-Country analysis

    Directory of Open Access Journals (Sweden)

    Csaba Jansik

    2015-10-01

    Full Text Available The milk sector has received much attention in Europe due to the abolition of milk quotas in 2015 and its potential effect on the geographical distribution of milk production across countries. As a way of assessing the competitive advantage of Nordic EU countries, we investigated the productivity level and productivity growth of milk farms across eight countries of the Baltic Sea region from 1995 to 2010. We found considerable discrepancy in the productivity performance of dairy farms across countries. TFP growth rates indicate that, at farm level, the competitive positions of the older EU members are stable, and that there is no catching up from the newer EU entrants. We offer explanations for this evolution based on the different patterns of structural change followed by the studied countries.

  19. 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.

  20. Examining the Competition for Forest Resources in Sweden Using Factor Substitution Analysis and Partial Equilibrium Modelling

    Energy Technology Data Exchange (ETDEWEB)

    Olsson, Anna

    2011-07-01

    The overall objective of the thesis is to analyse the procurement competition for forest resources in Sweden. The thesis consists of an introductory part and two self-contained papers. In paper I a translog cost function approach is used to analyse the factor substitution in the sawmill industry, the pulp and paper industry and the heating industry in Sweden over the period 1970 to 2008. The estimated parameters are used to calculate the Allen and Morishima elasticities of substitution as well as the price elasticities of input demand. The utilisation of forest resources in the energy sector has been increasing and this increase is believed to continue. The increase is, to a large extent, caused by economic policies introduced to reduce the emission of greenhouse gases. Such policies could lead to an increase in the procurement competition between the forest industries and the energy sector. The calculated substitution elasticities indicate that it is easier for the heating industry to substitutes between by-products and logging residues than it is for the pulp and paper industry to substitute between by-products and roundwood. This suggests that the pulp and paper industry could suffer from an increase in the procurement competition. However, overall the substitutions elasticities estimated in our study are relatively low. This indicates that substitution possibilities could be rather limited due to rigidities in input prices. This result suggests that competition of forest resources also might be relatively limited. In paper II a partial equilibrium model is constructed in order to asses the effects an increasing utilisation of forest resources in the energy sector. The increasing utilisation of forest fuel is, to a large extent, caused by economic policies introduced to reduce the emission of greenhouse gases. In countries where forests already are highly utilised such policies will lead to an increase in the procurement competition between the forest sector and

  1. A decomposition approach to analysis of competitive-cooperative neural networks with delay

    International Nuclear Information System (INIS)

    Chu Tianguang; Zhang Zongda; Wang Zhaolin

    2003-01-01

    Competitive-cooperative or inhibitory-excitatory configurations abound in neural networks. It is demonstrated here how such a configuration may be exploited to give a detailed characterization of the fixed point dynamics in general neural networks with time delay. The idea is to divide the connection weights into inhibitory and excitatory types and thereby to embed a competitive-cooperative delay neural network into an augmented cooperative delay system through a symmetric transformation. This allows for the use of the powerful monotone properties of cooperative systems. By the method, we derive several simple necessary and sufficient conditions on guaranteed trapping regions and guaranteed componentwise (exponential) convergence of the neural networks. The results relate specific decay rate and trajectory bounds to system parameters and are therefore of practical significance in designing a network with desired performance

  2. Image sequence analysis in nuclear medicine: (1) Parametric imaging using statistical modelling

    International Nuclear Information System (INIS)

    Liehn, J.C.; Hannequin, P.; Valeyre, J.

    1989-01-01

    This is a review of parametric imaging methods on Nuclear Medicine. A Parametric Image is an image in which each pixel value is a function of the value of the same pixel of an image sequence. The Local Model Method is the fitting of each pixel time activity curve by a model which parameter values form the Parametric Images. The Global Model Method is the modelling of the changes between two images. It is applied to image comparison. For both methods, the different models, the identification criterion, the optimization methods and the statistical properties of the images are discussed. The analysis of one or more Parametric Images is performed using 1D or 2D histograms. The statistically significant Parametric Images, (Images of significant Variances, Amplitudes and Differences) are also proposed [fr

  3. Biostatistical analysis of quantitative immunofluorescence microscopy images.

    Science.gov (United States)

    Giles, C; Albrecht, M A; Lam, V; Takechi, R; Mamo, J C

    2016-12-01

    Semiquantitative immunofluorescence microscopy has become a key methodology in biomedical research. Typical statistical workflows are considered in the context of avoiding pseudo-replication and marginalising experimental error. However, immunofluorescence microscopy naturally generates hierarchically structured data that can be leveraged to improve statistical power and enrich biological interpretation. Herein, we describe a robust distribution fitting procedure and compare several statistical tests, outlining their potential advantages/disadvantages in the context of biological interpretation. Further, we describe tractable procedures for power analysis that incorporates the underlying distribution, sample size and number of images captured per sample. The procedures outlined have significant potential for increasing understanding of biological processes and decreasing both ethical and financial burden through experimental optimization. © 2016 The Authors Journal of Microscopy © 2016 Royal Microscopical Society.

  4. Competition among Cohesion and Accession Countries: Comparative Analysis of Specialization Within the EU Market

    OpenAIRE

    Dora Borbély

    2004-01-01

    European integration brings about major impulses for structural change. Analyzing the new competitive structure of countries and industries within the enlarged European Union is a great challenge for economic research. Focusing on the four cohesion countries, Spain, Portugal, Ireland and Greece, this paper presents the key shifts in sectoral developments and changing RCA indicators in exports to the EU15. Comparing the results with the according indicators for selected accession countries ind...

  5. Yardstick competition and the political costs of raising taxes: An empirical analysis of Spanish municipalities

    OpenAIRE

    Bosch Roca, Núria; Solé Ollé, Albert

    2004-01-01

    We test the "yardstick competition" hypothesis by looking at the effects of property tax increases both in the locality and in other comparable jurisdictions on the incumbents' vote. In order to obtain unbiased estimates of the effects of taxes on voting, we account for national political shocks, ideological preferences of the citizenship and government traits, and we estimate the vote equation using instrumental variables. We also allow various traits of the government (ideology, coalition g...

  6. [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.

  7. Short supply chain: analysis of the competitiveness of organic horticultural farmers at Italian regional level

    OpenAIRE

    Bertazzoli, Aldo; Ruggeri, Arianna; Samoggia, Antonella

    2010-01-01

    The paper focuses on the competitiveness of organic horticultural farms implementing short food supply chain (SFSC), by analysing the organisational structures adopted by farmers and their economic performance. The collection of data based on face to face interviews with farmers and the review of the rural development plans of three central Italy regions. Results show that farms prefer a combination of organizational structures that involve both business to consumer and business to business s...

  8. An Analysis of Techno-Economic Requirements for MOSAIC CPV Systems to Achieve Cost Competitiveness

    Energy Technology Data Exchange (ETDEWEB)

    Horowitz, Kelsey A [National Renewable Energy Laboratory (NREL), Golden, CO (United States); Cunningham, Daniel [ARPA-E; Zahler, James [ARPA-E

    2017-11-01

    A comprehensive bottom-up cost model has been developed by NREL for ARPAE's MOSAIC micro-concentrator PV program. In this presentation, we use this model to examine the potential competitiveness of MOSAIC systems compared to incumbent technologies in different markets. We also provide an example of how these models can be used by awardees to assess different aspects of their design.

  9. Computerised image analysis of biocrystallograms originating from agricultural products

    DEFF Research Database (Denmark)

    Andersen, Jens-Otto; Henriksen, Christian B.; Laursen, J.

    1999-01-01

    Procedures are presented for computerised image analysis of iocrystallogram images, originating from biocrystallization investigations of agricultural products. The biocrystallization method is based on the crystallographic phenomenon that when adding biological substances, such as plant extracts...... on up to eight parameters indicated strong relationships, with R2 up to 0.98. It is concluded that the procedures were able to discriminate the seven groups of images, and are applicable for biocrystallization investigations of agricultural products. Perspectives for the application of image analysis...

  10. 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.

  11. Forensic image analysis - CCTV distortion and artefacts.

    Science.gov (United States)

    Seckiner, Dilan; Mallett, Xanthé; Roux, Claude; Meuwly, Didier; Maynard, Philip

    2018-04-01

    As a result of the worldwide deployment of surveillance cameras, authorities have gained a powerful tool that captures footage of activities of people in public areas. Surveillance cameras allow continuous monitoring of the area and allow footage to be obtained for later use, if a criminal or other act of interest occurs. Following this, a forensic practitioner, or expert witness can be required to analyse the footage of the Person of Interest. The examination ultimately aims at evaluating the strength of evidence at source and activity levels. In this paper, both source and activity levels are inferred from the trace, obtained in the form of CCTV footage. The source level alludes to features observed within the anatomy and gait of an individual, whilst the activity level relates to activity undertaken by the individual within the footage. The strength of evidence depends on the value of the information recorded, where the activity level is robust, yet source level requires further development. It is therefore suggested that the camera and the associated distortions should be assessed first and foremost and, where possible, quantified, to determine the level of each type of distortion present within the footage. A review of the 'forensic image analysis' review is presented here. It will outline the image distortion types and detail the limitations of differing surveillance camera systems. The aim is to highlight various types of distortion present particularly from surveillance footage, as well as address gaps in current literature in relation to assessment of CCTV distortions in tandem with gait analysis. Future work will consider the anatomical assessment from surveillance footage. Copyright © 2018 Elsevier B.V. All rights reserved.

  12. COMPARATIVE ANALYSIS OF COMPETITIVE STATE ANXIETY AMONG TEAM SPORT AND INDIVIDUAL SPORT ATHLETES IN IRAN

    Directory of Open Access Journals (Sweden)

    Soltani Hossein

    2016-10-01

    Full Text Available Purpose: With respect to the fact that every sport field has its own special nature, the aim of present study was to compare competitive state anxiety among team sport and individual sport athletes in Iran. Material: The statistic sample included 120 male athletes, 60 athletes in individual sports (wrestling, taekwondo and karate and 60 athletes in team sports (futsal, volleyball and basketball. The research instrument employed was the Persian version of the Competitive State Anxiety Inventory-2. This inventory was distributed among the subjects about 30 minutes before the first competition. Finally by one-way ANOVA data was analyzed. Results: The results indicated that the mean score of somatic anxiety and cognitive anxiety among individual sport athletes was significantly higher than that of team sport athletes (p0.05. Conclusion: It seems the being part of a team alleviates some of the pressure experienced by those who compete alone. It seems the individual sport athletes may be more exposed to evaluation and more engaged in their own skills and abilities than team sport athletes given that responsibility for performance is not distributed across several performers.

  13. Take-off analysis of the Olympic ski jumping competition (HS-106m).

    Science.gov (United States)

    Virmavirta, Mikko; Isolehto, Juha; Komi, Paavo; Schwameder, Hermann; Pigozzi, Fabio; Massazza, Giuseppe

    2009-05-29

    The take-off phase (approximately 6m) of the jumps of all athletes participating in the individual HS-106m hill ski jumping competition at the Torino Olympics was filmed with two high-speed cameras. The high altitude of the Pragelato ski jumping venue (1600m) and slight tail wind in the final jumping round were expected to affect the results of this competition. The most significant correlation with the length of the jump was found in the in-run velocity (r=0.628, pski jumping, and suggests that good jumpers simply had smaller friction between their skis and the in-run tracks and/or the aerodynamic quality of their in-run position was better. Angular velocity of the hip joint of the best jumpers was also correlated with jumping distance (r=0.651, pjumped approximately the same distance. This certainly improves the interests in ski jumping among athletes and spectators. The comparison between the take-off techniques of the best jumpers showed that even though the more marked upper body movement creates higher air resistance, it does not necessarily result in shorter jumping distance if the exposure time to high air resistance is not too long. A comparison between the first and second round jumps of the same jumpers showed that the final results in this competition were at least partly affected by the wind conditions.

  14. Analysis of the Trinom Migration – FDI – Competitiveness. Case Study: Romania (2004-2015

    Directory of Open Access Journals (Sweden)

    Ana Maria Talmaciu (Banu

    2017-03-01

    Full Text Available In the context of a global economy, increasingly competitive, the battle for the competitive advantage has become harsh. The attractiveness of countries which influence the international migration, generate opposite or complementary effects in the countries of origin and destination. Labor migration among highly qualified people stirred controversy on the impact on the economies of the countries involved in the international transfer of human capital. Labor migration, highly qualified or not, produce a change in the investor’s behavior. They will be interested in investing in countries where the workforce is favoring either qualitatively, either financially, or both.The foreign direct investment fluctuates as the dynamics of migration increases. A country with a large number of highly skilled migrants can lose to foreign investors due to the lack of attractiveness of human capital, and, at the same time, a country with a large number of a trained environmental emigrant may be of interest to investors in search of cheap labor. This paper aims to examine the following hypothesis: to which extent the emigration influence the competitive level (measured by GDP and the foreign direct investments in the origin country. The results confirm the economic theory, showing a correlation, but not a significative one, for the analized years.

  15. 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.

  16. 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.

  17. Micro-economic analysis of the physical constrained markets: game theory application to competitive electricity markets

    Science.gov (United States)

    Bompard, E.; Ma, Y. C.; Ragazzi, E.

    2006-03-01

    Competition has been introduced in the electricity markets with the goal of reducing prices and improving efficiency. The basic idea which stays behind this choice is that, in competitive markets, a greater quantity of the good is exchanged at a lower price, leading to higher market efficiency. Electricity markets are pretty different from other commodities mainly due to the physical constraints related to the network structure that may impact the market performance. The network structure of the system on which the economic transactions need to be undertaken poses strict physical and operational constraints. Strategic interactions among producers that game the market with the objective of maximizing their producer surplus must be taken into account when modeling competitive electricity markets. The physical constraints, specific of the electricity markets, provide additional opportunity of gaming to the market players. Game theory provides a tool to model such a context. This paper discussed the application of game theory to physical constrained electricity markets with the goal of providing tools for assessing the market performance and pinpointing the critical network constraints that may impact the market efficiency. The basic models of game theory specifically designed to represent the electricity markets will be presented. IEEE30 bus test system of the constrained electricity market will be discussed to show the network impacts on the market performances in presence of strategic bidding behavior of the producers.

  18. Micro-economic analysis of the physical constrained markets: game theory application to competitive electricity markets

    Energy Technology Data Exchange (ETDEWEB)

    Bompard, E.; Ma, Y.C. [Politecnico di Torino, Dept. of Electrical Engineering, Torino (Italy); Ragazzi, E. [CERIS, Institute for Economic Research on Firms and Growth, CNR, National Research Council, Moncalieri, TO (Italy)

    2006-03-15

    Competition has been introduced in the electricity markets with the goal of reducing prices and improving efficiency. The basic idea which stays behind this choice is that, in competitive markets, a greater quantity of the good is exchanged at a lower price, leading to higher market efficiency. Electricity markets are pretty different from other commodities mainly due to the physical constraints related to the network structure that may impact the market performance. The network structure of the system on which the economic transactions needs to be undertaken poses strict physical and operational constraints. Strategic interactions among producers that game the market with the objective of maximizing their producer surplus must be taken into account when modeling competitive electricity markets. The physical constraints, specific of the electricity markets, provide additional opportunity of gaming to the market players. Game theory provides a tool to model such a context. This paper discussed the application of game theory to physical constrained electricity markets with the goal of providing tools for assessing the market performance and pinpointing the critical network constraints that may impact the market efficiency. The basic models of game theory specifically designed to represent the electricity markets will be presented. IEEE30 bus test system of the constrained electricity market will be discussed to show the network impacts on the market performances in presence of strategic bidding behavior of the producers. (authors)

  19. 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.

  20. 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...

  1. APPLICATION OF PRINCIPAL COMPONENT ANALYSIS TO RELAXOGRAPHIC IMAGES

    International Nuclear Information System (INIS)

    STOYANOVA, R.S.; OCHS, M.F.; BROWN, T.R.; ROONEY, W.D.; LI, X.; LEE, J.H.; SPRINGER, C.S.

    1999-01-01

    Standard analysis methods for processing inversion recovery MR images traditionally have used single pixel techniques. In these techniques each pixel is independently fit to an exponential recovery, and spatial correlations in the data set are ignored. By analyzing the image as a complete dataset, improved error analysis and automatic segmentation can be achieved. Here, the authors apply principal component analysis (PCA) to a series of relaxographic images. This procedure decomposes the 3-dimensional data set into three separate images and corresponding recovery times. They attribute the 3 images to be spatial representations of gray matter (GM), white matter (WM) and cerebrospinal fluid (CSF) content

  2. 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.

  3. Impacts on Competitiveness from EU ETS. An analysis of the Dutch Industry

    International Nuclear Information System (INIS)

    De Bruyn, S.; Nelissen, D.; Korteland, M.; Davidson, M.; Faber, J.; Van de Vreede, G.

    2008-01-01

    The EU emissions trading scheme (ETS) was launched in 2005 to cap CO2 emissions from large industrial facilities and electricity producers. The European Commission is currently designing the post 2012 EU ETS, as outlined in COM(2008)16. Novel to this system is that a greater part of the rights will be auctioned. Auctioning in general assures a greater deal of efficiency compared to (certain types of) free allocation, lowers the administrative costs and prevents eventual windfall profits. However, auctioning also implies a potential loss of competitiveness for industry. If no international agreement on future climate policies is reached, firms may not be able to pass on the higher costs to their customers and may be faced with a loss in profitability and the threat of import substitution. In any emission trading scheme with an absolute cap, a relocation of production that is not covered by CO2 targets implies an increase in global CO2 emissions. This phenomenon has been labelled as 'carbon leakage'. To prevent carbon leakage, the Commission has proposed to exempt exposed sectors from auctioning and allocating them rights freely on the basis of a benchmark. A severe loss of competitiveness is here the main criterion against which it is decided whether sectors will be subject to auctioning or free allocation. This study has investigated which industrial sectors of the Dutch economy possibly face a loss of competitiveness from auctioning. The competitive position is determined by the combination of significant potential cost price increases and substantial imports and export flows to countries that have no comparable climate change policy. It appears that especially in the aluminium, fertilizer, iron and steel , inorganic and other base chemicals sectors relatively high cost price increases can be expected which may not be fully passed on to their customers. Profitability in these sectors may be reduced and the risk of carbon leakage increased. However, in terms of

  4. 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.

  5. Image based SAR product simulation for analysis

    Science.gov (United States)

    Domik, G.; Leberl, F.

    1987-01-01

    SAR product simulation serves to predict SAR image gray values for various flight paths. Input typically consists of a digital elevation model and backscatter curves. A new method is described of product simulation that employs also a real SAR input image for image simulation. This can be denoted as 'image-based simulation'. Different methods to perform this SAR prediction are presented and advantages and disadvantages discussed. Ascending and descending orbit images from NASA's SIR-B experiment were used for verification of the concept: input images from ascending orbits were converted into images from a descending orbit; the results are compared to the available real imagery to verify that the prediction technique produces meaningful image data.

  6. Machine learning based analysis of cardiovascular images

    NARCIS (Netherlands)

    Wolterink, JM

    2017-01-01

    Cardiovascular diseases (CVDs), including coronary artery disease (CAD) and congenital heart disease (CHD) are the global leading cause of death. Computed tomography (CT) and magnetic resonance imaging (MRI) allow non-invasive imaging of cardiovascular structures. This thesis presents machine

  7. Analysis of Pregerminated Barley Using Hyperspectral Image Analysis

    DEFF Research Database (Denmark)

    Arngren, Morten; Hansen, Per Waaben; Eriksen, Birger

    2011-01-01

    imaging system in a mathematical modeling framework to identify pregerminated barley at an early stage of approximately 12 h of pregermination. Our model only assigns pregermination as the cause for a single kernel’s lack of germination and is unable to identify dormancy, kernel damage etc. The analysis...... is based on more than 750 Rosalina barley kernels being pregerminated at 8 different durations between 0 and 60 h based on the BRF method. Regerminating the kernels reveals a grouping of the pregerminated kernels into three categories: normal, delayed and limited germination. Our model employs a supervised...

  8. Image quality analysis of digital mammographic equipments

    Energy Technology Data Exchange (ETDEWEB)

    Mayo, P.; Pascual, A.; Verdu, G. [Valencia Univ. Politecnica, Chemical and Nuclear Engineering Dept. (Spain); Rodenas, F. [Valencia Univ. Politecnica, Applied Mathematical Dept. (Spain); Campayo, J.M. [Valencia Univ. Hospital Clinico, Servicio de Radiofisica y Proteccion Radiologica (Spain); Villaescusa, J.I. [Hospital Clinico La Fe, Servicio de Proteccion Radiologica, Valencia (Spain)

    2006-07-01

    The image quality assessment of a radiographic phantom image is one of the fundamental points in a complete quality control programme. The good functioning result of all the process must be an image with an appropriate quality to carry out a suitable diagnostic. Nowadays, the digital radiographic equipments are replacing the traditional film-screen equipments and it is necessary to update the parameters to guarantee the quality of the process. Contrast-detail phantoms are applied to digital radiography to study the threshold contrast detail sensitivity at operation conditions of the equipment. The phantom that is studied in this work is C.D.M.A.M. 3.4, which facilitates the evaluation of image contrast and detail resolution. One of the most extended indexes to measure the image quality in an objective way is the Image Quality Figure (I.Q.F.). This parameter is useful to calculate the image quality taking into account the contrast and detail resolution of the image analysed. The contrast-detail curve is useful as a measure of the image quality too, because it is a graphical representation in which the hole thickness and diameter are plotted for each contrast-detail combination detected in the radiographic image of the phantom. It is useful for the comparison of the functioning of different radiographic image systems, for phantom images under the same exposition conditions. The aim of this work is to study the image quality of different images contrast-detail phantom C.D.M.A.M. 3.4, carrying out the automatic detection of the contrast-detail combination and to establish a parameter which characterize in an objective way the mammographic image quality. This is useful to compare images obtained at different digital mammographic equipments to study the functioning of the equipments. (authors)

  9. Image quality analysis of digital mammographic equipments

    International Nuclear Information System (INIS)

    Mayo, P.; Pascual, A.; Verdu, G.; Rodenas, F.; Campayo, J.M.; Villaescusa, J.I.

    2006-01-01

    The image quality assessment of a radiographic phantom image is one of the fundamental points in a complete quality control programme. The good functioning result of all the process must be an image with an appropriate quality to carry out a suitable diagnostic. Nowadays, the digital radiographic equipments are replacing the traditional film-screen equipments and it is necessary to update the parameters to guarantee the quality of the process. Contrast-detail phantoms are applied to digital radiography to study the threshold contrast detail sensitivity at operation conditions of the equipment. The phantom that is studied in this work is C.D.M.A.M. 3.4, which facilitates the evaluation of image contrast and detail resolution. One of the most extended indexes to measure the image quality in an objective way is the Image Quality Figure (I.Q.F.). This parameter is useful to calculate the image quality taking into account the contrast and detail resolution of the image analysed. The contrast-detail curve is useful as a measure of the image quality too, because it is a graphical representation in which the hole thickness and diameter are plotted for each contrast-detail combination detected in the radiographic image of the phantom. It is useful for the comparison of the functioning of different radiographic image systems, for phantom images under the same exposition conditions. The aim of this work is to study the image quality of different images contrast-detail phantom C.D.M.A.M. 3.4, carrying out the automatic detection of the contrast-detail combination and to establish a parameter which characterize in an objective way the mammographic image quality. This is useful to compare images obtained at different digital mammographic equipments to study the functioning of the equipments. (authors)

  10. 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....

  11. 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...

  12. An application of image processing techniques in computed tomography image analysis

    DEFF Research Database (Denmark)

    McEvoy, Fintan

    2007-01-01

    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...... boundaries of subcutaneous adipose tissue along this line segment. This process was repeated as the image was rotated (with the line position remaining unchanged) so that measurements around the complete circumference were obtained. Additionally, an image was created showing all detected boundary points so...

  13. A New Method for Automated Identification and Morphometry of Myelinated Fibers Through Light Microscopy Image Analysis.

    Science.gov (United States)

    Novas, Romulo Bourget; Fazan, Valeria Paula Sassoli; Felipe, Joaquim Cezar

    2016-02-01

    Nerve morphometry is known to produce relevant information for the evaluation of several phenomena, such as nerve repair, regeneration, implant, transplant, aging, and different human neuropathies. Manual morphometry is laborious, tedious, time consuming, and subject to many sources of error. Therefore, in this paper, we propose a new method for the automated morphometry of myelinated fibers in cross-section light microscopy images. Images from the recurrent laryngeal nerve of adult rats and the vestibulocochlear nerve of adult guinea pigs were used herein. The proposed pipeline for fiber segmentation is based on the techniques of competitive clustering and concavity analysis. The evaluation of the proposed method for segmentation of images was done by comparing the automatic segmentation with the manual segmentation. To further evaluate the proposed method considering morphometric features extracted from the segmented images, the distributions of these features were tested for statistical significant difference. The method achieved a high overall sensitivity and very low false-positive rates per image. We detect no statistical difference between the distribution of the features extracted from the manual and the pipeline segmentations. The method presented a good overall performance, showing widespread potential in experimental and clinical settings allowing large-scale image analysis and, thus, leading to more reliable results.

  14. Imaging services at the Paralympic Games London 2012: analysis of demand and distribution of workload.

    Science.gov (United States)

    Bethapudi, Sarath; Campbell, Robert S D; Budgett, Richard; Willick, Stuart E; Van de Vliet, Peter

    2015-01-01

    Very little data have been published on medical imaging services at disability games. 7.9 million euros (£6.6 million, US$11 million) were invested in setting up radiology facilities within purpose built polyclinics at the London 2012 Olympic and Paralympic games. This paper details imaging services at the 2012 Paralympic Games. Data analysis on imaging at 2012 Olympics has been published in a separate paper. To analyse the workload on the polyclinics' radiology services, provided for the Paralympic athletes during the London 2012 Paralympic Games. Data were prospectively collected during the period of the Paralympic games from the Picture Archive Communications System (PACS) and the Radiological Information System (RIS). Data were correlated with the medical encounter database (ATOS). 655 imaging episodes were recorded, which comprised 38.8% (n=254) MRI, 33% (n=216) plain radiographs, 24% (n=157) ultrasound scans and 4.2% (n=28) CT scans. Investigations on the Paralympic athletes accounted for 65.2% of workload, with the remainder divided between Paralympic family and workforce. MRI was the most used imaging resource and CT was the least used imaging modality at the Paralympic village polyclinic. Analysis of demographic data provides a useful index for planning radiology infrastructure and manpower at future international competitions for athletes with a disability. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

  15. Competitive intelligence as an enabler for firm competitiveness: An overview

    Directory of Open Access Journals (Sweden)

    Alexander Maune

    2014-06-01

    Full Text Available The purpose of this article is to provide an overview, from literature, about how competitive intelligence can be an enabler towards a firm’s competitiveness. This overview is done under the background of intense global competition that firms are currently experiencing. This paper used a qualitative content analysis as a data collection methodology on all identified journal articles on competitive intelligence and firm competitiveness. To identify relevant literature, academic databases and search engines were used. Moreover, a review of references in related studies led to more relevant sources, the references of which were further reviewed and analysed. To ensure reliability and trustworthiness, peer-reviewed journal articles and triangulation were used. The paper found that competitive intelligence is an important enabler of firm competitiveness. The findings from this paper will assist business managers to understand and improve their outlook of competitive intelligence as an enabler of firm competitiveness and will be of great academic value.

  16. Competition in the natural gas pipeline industry: An economic policy analysis

    International Nuclear Information System (INIS)

    Gallick, E.C.

    1993-01-01

    The Federal Energy Regulatory Commission (FERC) currently regulates the price at which natural gas can be sold by regulated interstate natural gas pipelines. Whether pipelines should be deregulated depends, to an important extent, on the competitive nature of the market. The key question is whether pipelines can successfully raise price (i.e., the transport fee) and reduce output if the market is deregulated. In most natural gas pipeline markets, there are a small number of current suppliers. Opponents of deregulation argue that the unrestrained market power of pipelines in many local markets will introduce inefficiencies in the sale of natural gas. Implicit in their arguments is a narrow view of competition: the number of current suppliers. The competitive effect of potential entry is largely ignored. These commentators would argue that without potential entry, it may be true that the net social cost of deregulation exceeds the costs of maintaining present regulation. A study was conducted to determine the extent to which potential entry might constrain the exercise of market power by natural gas pipelines if price and entry regulation is removed. Potential entrants are defined in the context of antitrust markets. That is, these markets are consistent with the Department of Justice (DOJ) Merger Guidelines. The study attempts to quantify the effects of potential entry on the market power of current suppliers. The selection of potential entrants therefore considers a number of factors (such as the size of the nearby supplier and the distance to the market) that are expected to affect the likelihood of collision in a deregulated market. The policy implications of the study are reviewed

  17. Does the Relative Age Effect Exist in Elite Sport? An Analysis of Olympic Competition

    OpenAIRE

    Wingfield, Kathryn McGhee

    2017-01-01

    Studies have concluded that youth sports programs have a bias selection process in identifying player talent. Athletes that are identified as talented are more likely to be born in the first three months after the eligibility cut-off for a program's particular age group. This is referred to as the relative age effect (RAE) and has been identified in many youth sports. However, it is not known if the RAE carries over into elite, adult competition. The purpose of this study was to determine...

  18. Analysis of the competitiveness and development of the thermal solar sector in France. Synthesis

    International Nuclear Information System (INIS)

    KAAIJK, Paul

    2013-10-01

    This synthesis reports a comprehensive study (October 2013) for ADEME, the French office for energy management and sustainable development, which presents an assessment of the present structure of the solar thermal sector in France (and overseas territories): main actors, Research and Development activities, qualification and certification of equipment, distribution, design and education aspects, installation, etc. In the second and third parts of the report, the demand and the perception of the offer by clients are assessed, followed by a presentation of the sector cost structure and a comparison of various competitive systems. In the last part of the synthesis, a diagnostic of the sector is exposed, with propositions and recommendations

  19. An Ibm PC/AT-Based Image Acquisition And Processing System For Quantitative Image Analysis

    Science.gov (United States)

    Kim, Yongmin; Alexander, Thomas

    1986-06-01

    In recent years, a large number of applications have been developed for image processing systems in the area of biological imaging. We have already finished the development of a dedicated microcomputer-based image processing and analysis system for quantitative microscopy. The system's primary function has been to facilitate and ultimately automate quantitative image analysis tasks such as the measurement of cellular DNA contents. We have recognized from this development experience, and interaction with system users, biologists and technicians, that the increasingly widespread use of image processing systems, and the development and application of new techniques for utilizing the capabilities of such systems, would generate a need for some kind of inexpensive general purpose image acquisition and processing system specially tailored for the needs of the medical community. We are currently engaged in the development and testing of hardware and software for a fairly high-performance image processing computer system based on a popular personal computer. In this paper, we describe the design and development of this system. Biological image processing computer systems have now reached a level of hardware and software refinement where they could become convenient image analysis tools for biologists. The development of a general purpose image processing system for quantitative image analysis that is inexpensive, flexible, and easy-to-use represents a significant step towards making the microscopic digital image processing techniques more widely applicable not only in a research environment as a biologist's workstation, but also in clinical environments as a diagnostic tool.

  20. Analysis of M-stationary points to an EPEC modeling oligopolistic competition in an electricity spot market

    Czech Academy of Sciences Publication Activity Database

    Henrion, R.; Outrata, Jiří; Surowiec, T.

    2012-01-01

    Roč. 18, č. 2 (2012), s. 295-317 ISSN 1292-8119 R&D Projects: GA ČR GA201/09/1957 Institutional support: RVO:67985556 Keywords : Equilibrium problems with equilibrium constraints * EPEC * M-stationary solutions * electricity spot market * calmness Subject RIV: BA - General Mathematics Impact factor: 1.282, year: 2012 http://library.utia.cas.cz/separaty/2012/MTR/outrata-analysis of m-stationary points to an epec modeling oligopolistic competition in an electricity spot market.pdf

  1. Towards automatic quantitative analysis of cardiac MR perfusion images

    NARCIS (Netherlands)

    Breeuwer, M.; Quist, M.; Spreeuwers, Lieuwe Jan; Paetsch, I.; Al-Saadi, N.; Nagel, E.

    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 reliable automatic image analysis methods. This paper focuses on the automatic evaluation of

  2. 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

  3. Visual Analytics Applied to Image Analysis : From Segmentation to Classification

    NARCIS (Netherlands)

    Rauber, Paulo

    2017-01-01

    Image analysis is the field of study concerned with extracting information from images. This field is immensely important for commercial and scientific applications, from identifying people in photographs to recognizing diseases in medical images. The goal behind the work presented in this thesis is

  4. 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...

  5. 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

  6. 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.

  7. A Critical Analysis of Concentration and Competition in the Indian Pharmaceutical Market.

    Science.gov (United States)

    Mehta, Aashna; Hasan Farooqui, Habib; Selvaraj, Sakthivel

    2016-01-01

    It can be argued that with several players marketing a large number of brands, the pharmaceutical market in India is competitive. However, the pharmaceutical market should not be studied as a single market but, as a sum total of a large number of individual sub-markets. This paper examines the methodological issues with respect to defining the relevant market involved in studying concentration in the pharmaceutical market in India. Further, we have examined whether the Indian pharmaceutical market is competitive. Indian pharmaceutical market was studied using PharmaTrac, the sales audit data from AIOCD-AWACS, that organises formulations into 5 levels of therapeutic classification based on the EphMRA system. The Herfindahl-Hirschman Index (HHI) was used as the indicator of market concentration. We calculated HHI for the entire pharmaceutical market studied as a single market as well as at the five different levels of therapeutic classification. Whereas the entire pharmaceutical market taken together as a single market displayed low concentration (HHI = 226.63), it was observed that if each formulation is defined as an individual sub-market, about 69 percent of the total market in terms of market value displayed at least moderate concentration. Market should be defined taking into account the ease of substitutability. Since, patients cannot themselves substitute the formulation prescribed by the doctor with another formulation with the same indication and therapeutic effect, owing to information asymmetry, it is appropriate to study market concentration at the narrower levels of therapeutic classification.

  8. 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.

  9. Image quality preferences among radiographers and radiologists. A conjoint analysis

    International Nuclear Information System (INIS)

    Ween, Borgny; Kristoffersen, Doris Tove; Hamilton, Glenys A.; Olsen, Dag Rune

    2005-01-01

    Purpose: The aim of this study was to investigate the image quality preferences among radiographers and radiologists. The radiographers' preferences are mainly related to technical parameters, whereas radiologists assess image quality based on diagnostic value. Methods: A conjoint analysis was undertaken to survey image quality preferences; the study included 37 respondents: 19 radiographers and 18 radiologists. Digital urograms were post-processed into 8 images with different properties of image quality for 3 different patients. The respondents were asked to rank the images according to their personally perceived subjective image quality. Results: Nearly half of the radiographers and radiologists were consistent in their ranking of the image characterised as 'very best image quality'. The analysis showed, moreover, that chosen filtration level and image intensity were responsible for 72% and 28% of the preferences, respectively. The corresponding figures for each of the two professions were 76% and 24% for the radiographers, and 68% and 32% for the radiologists. In addition, there were larger variations in image preferences among the radiologists, as compared to the radiographers. Conclusions: Radiographers revealed a more consistent preference than the radiologists with respect to image quality. There is a potential for image quality improvement by developing sets of image property criteria

  10. Convergence analysis in near-field imaging

    International Nuclear Information System (INIS)

    Bao, Gang; Li, Peijun

    2014-01-01

    This paper is devoted to the mathematical analysis of the direct and inverse modeling of the diffraction by a perfectly conducting grating surface in the near-field regime. It is motivated by our effort to analyze recent significant numerical results, in order to solve a class of inverse rough surface scattering problems in near-field imaging. In a model problem, the diffractive grating surface is assumed to be a small and smooth deformation of a plane surface. On the basis of the variational method, the direct problem is shown to have a unique weak solution. An analytical solution is introduced as a convergent power series in the deformation parameter by using the transformed field and Fourier series expansions. A local uniqueness result is proved for the inverse problem where only a single incident field is needed. On the basis of the analytic solution of the direct problem, an explicit reconstruction formula is presented for recovering the grating surface function with resolution beyond the Rayleigh criterion. Error estimates for the reconstructed grating surface are established with fully revealed dependence on such quantities as the surface deformation parameter, measurement distance, noise level of the scattering data, and regularity of the exact grating surface function. (paper)

  11. 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.

  12. Measure by image analysis of industrial radiographs

    International Nuclear Information System (INIS)

    Brillault, B.

    1988-01-01

    A digital radiographic picture processing system for non destructive testing intends to provide the expert with computer tool, to precisely quantify radiographic images. The author describes the main problems, from the image formation to its characterization. She also insists on the necessity to define a precise process in order to automatize the system. Some examples illustrate the efficiency of digital processing for radiographic images [fr

  13. MORPHOLOGY BY IMAGE ANALYSIS K. Belaroui and M. N Pons ...

    African Journals Online (AJOL)

    31 déc. 2012 ... Keywords: Characterization; particle size; morphology; image analysis; porous media. 1. INTRODUCTION. La puissance de l'analyse d'images comme ... en une image numérique au moyen d'un convertisseur analogique digital (A/D). Les points de l'image sont disposés suivant une grille en réseau carré, ...

  14. PIZZARO: Forensic analysis and restoration of image and video data

    Czech Academy of Sciences Publication Activity Database

    Kamenický, Jan; Bartoš, Michal; Flusser, Jan; Mahdian, Babak; Kotera, Jan; Novozámský, Adam; Saic, Stanislav; Šroubek, Filip; Šorel, Michal; Zita, Aleš; Zitová, Barbara; Šíma, Z.; Švarc, P.; Hořínek, J.

    2016-01-01

    Roč. 264, č. 1 (2016), s. 153-166 ISSN 0379-0738 R&D Projects: GA MV VG20102013064; GA ČR GA13-29225S Institutional support: RVO:67985556 Keywords : Image forensic analysis * Image restoration * Image tampering detection * Image source identification Subject RIV: JD - Computer Applications, Robotics Impact factor: 1.989, year: 2016 http://library.utia.cas.cz/separaty/2016/ZOI/kamenicky-0459504.pdf

  15. 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...

  16. Heterogeneous logics of competition

    DEFF Research Database (Denmark)

    Mossin, Christiane

    2015-01-01

    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...... 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...

  17. Corporate competitiveness and sustainability risks

    Directory of Open Access Journals (Sweden)

    Udo Braendle

    2017-12-01

    Full Text Available This paper aims at providing a theoretical analysis of the existing research on corporate competition and sustainability risks that occur when companies aspire to reach maximum competitive advantages and gain competitive benefits compared to their rivals. Competitiveness has been described as a multidimensional, theoretical and relative concept linked with the market mechanism. The concept of competitiveness may refer to different levels of aggregation: national, regional, industrial and individual companies. This paper contributes to the theoretical research on corporate competitiveness by the analysis of old and new definitions of this category. It also notes that the sustainability risks connected to competition can be divided into several groups where the authors highlight environmental, legal, financial risks, behaviour risks and state-related risks as the most crucial ones. For companies to be fit for the competitive challenge, the paper identifies main characteristics of such risks and gives policy guidance for their avoidance

  18. 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

  19. An Industry Analysis of the MBA Market and the Competitive Positioning of the GSBPP

    National Research Council Canada - National Science Library

    Hager, Garrett W; King, Thomas T

    2007-01-01

    The purpose of this Master of Eusiness 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 Forces Analysis" model...

  20. The analysis of directions for improvement of competitiveness in domestic hotel enterprises: Students attitudes

    Directory of Open Access Journals (Sweden)

    Đorđević Dejan

    2016-01-01

    Full Text Available Global market changes are forcing modern hotel enterprises to adjust their business in order to survive on the market by satisfying their end users. Serbian hotel enterprises have, in a certain extent, accepted new market trends. However, the biggest problems seem to be poor traffic infrastructure and the introduction of the ISO management standards which are necessary conditions for increasing competitiveness level of domestic hotel enterprises. Modern hotel industry cannot be imagined nowadays without big international hotel chains and the emergence of new market niches aimed at young customers born between 1980 and 2000, the so-called millennia's, who represent the largest group of smart phone users. Beside these obvious challenges that Serbian hotel industry has to face there is also a good potential in the field of congress tourism which has become very popular in the world in recent years.

  1. Analysis on the development of scientific and technical information under new competitive environment

    International Nuclear Information System (INIS)

    Li Tao

    2010-01-01

    The current external environment of information work has undergone profound changes. The world competition in Military fields, the development of national economy and the applications of high-technologies put forward higher requirements to intelligence work. Under the environment of global information integration, 'eyes and ears' roles of nuclear scientific and technical information will be more highlighted. In this context, we believe that the way of nuclear sci-tech information development should be focused on comprehensive research and be based on the building of information resources and advanced information technology methods, forming an integrated service system with capabilities of rapid resources, decision support, information assurance and sustainable development. The goal of nuclear sci-tech information development should be to serve the development of nuclear power and the popularization and application of nuclear technology in the fields of national economy, to implement the strategy of 'integrated intelligence support', to ensure the formation of rapid response capability, to enhance capabilities of decision support and science and technology development guidance, to build digital information resources and to constantly promote the research on network collaboration. This paper analyzes the characteristics of nuclear sci-tech information under new competitive environment, describes the ideas and goals of its development and proposes the way to achieve these goals. In order to provide the information support and service with the characteristics of rapid response, high quality and high efficiency, the paper also puts forward that under the new environment, we should optimize the service system, extend service functions, transform service mode, speed up the transformation on intelligence work, adjust and optimize business content and structure, promote business process re-engineering, and pay equal attention to 'ensuring demands' and 'guiding the future

  2. ANALYSIS OF SST IMAGES BY WEIGHTED ENSEMBLE TRANSFORM KALMAN FILTER

    OpenAIRE

    Sai , Gorthi; Beyou , Sébastien; Memin , Etienne

    2011-01-01

    International audience; This paper presents a novel, efficient scheme for the analysis of Sea Surface Temperature (SST) ocean images. We consider the estimation of the velocity fields and vorticity values from a sequence of oceanic images. The contribution of this paper lies in proposing a novel, robust and simple approach based onWeighted Ensemble Transform Kalman filter (WETKF) data assimilation technique for the analysis of real SST images, that may contain coast regions or large areas of ...

  3. An introduction to diffusion tensor image analysis.

    Science.gov (United States)

    O'Donnell, Lauren J; Westin, Carl-Fredrik

    2011-04-01

    Diffusion tensor magnetic resonance imaging (DTI) is a relatively new technology that is popular for imaging the white matter of the brain. This article provides a basic and broad overview of DTI to enable the reader to develop an intuitive understanding of these types of data, and an awareness of their strengths and weaknesses. Copyright © 2011 Elsevier Inc. All rights reserved.

  4. Biomedical Image Analysis: Rapid prototyping with Mathematica

    NARCIS (Netherlands)

    Haar Romenij, ter B.M.; Almsick, van M.A.

    2004-01-01

    Digital acquisition techniques have caused an explosion in the production of medical images, especially with the advent of multi-slice CT and volume MRI. One third of the financial investments in a modern hospital's equipment are dedicated to imaging. Emerging screening programs add to this flood of

  5. 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...

  6. 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.|info:eu-repo/dai/nl/224281216; Queiroz Feitosa, R.; van der Meer, F.D.|info:eu-repo/dai/nl/138940908; 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

  7. A short introduction to image analysis - Matlab exercises

    DEFF Research Database (Denmark)

    Hansen, Michael Adsetts Edberg

    2000-01-01

    This document contain a short introduction to Image analysis. In addition small exercises has been prepared in order to support the theoretical understanding.......This document contain a short introduction to Image analysis. In addition small exercises has been prepared in order to support the theoretical understanding....

  8. Analysis of licensed South African diagnostic imaging equipment ...

    African Journals Online (AJOL)

    Analysis of licensed South African diagnostic imaging equipment. ... Pan African Medical Journal ... Introduction: Objective: To conduct an analysis of all registered South Africa (SA) diagnostic radiology equipment, assess the number of equipment units per capita by imaging modality, and compare SA figures with published ...

  9. Analysis of sharpness increase by image noise

    Science.gov (United States)

    Kurihara, Takehito; Aoki, Naokazu; Kobayashi, Hiroyuki

    2009-02-01

    Motivated by the reported increase in sharpness by image noise, we investigated how noise affects sharpness perception. We first used natural images of tree bark with different amounts of noise to see whether noise enhances sharpness. Although the result showed sharpness decreased as noise amount increased, some observers seemed to perceive more sharpness with increasing noise, while the others did not. We next used 1D and 2D uni-frequency patterns as stimuli in an attempt to reduce such variability in the judgment. The result showed, for higher frequency stimuli, sharpness decreased as the noise amount increased, while sharpness of the lower frequency stimuli increased at a certain noise level. From this result, we thought image noise might reduce sharpness at edges, but be able to improve sharpness of lower frequency component or texture in image. To prove this prediction, we experimented again with the natural image used in the first experiment. Stimuli were made by applying noise separately to edge or to texture part of the image. The result showed noise, when added to edge region, only decreased sharpness, whereas when added to texture, could improve sharpness. We think it is the interaction between noise and texture that sharpens image.

  10. 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.

  11. Photoacoustic image reconstruction: a quantitative analysis

    Science.gov (United States)

    Sperl, Jonathan I.; Zell, Karin; Menzenbach, Peter; Haisch, Christoph; Ketzer, Stephan; Marquart, Markus; Koenig, Hartmut; Vogel, Mika W.

    2007-07-01

    Photoacoustic imaging is a promising new way to generate unprecedented contrast in ultrasound diagnostic imaging. It differs from other medical imaging approaches, in that it provides spatially resolved information about optical absorption of targeted tissue structures. Because the data acquisition process deviates from standard clinical ultrasound, choice of the proper image reconstruction method is crucial for successful application of the technique. In the literature, multiple approaches have been advocated, and the purpose of this paper is to compare four reconstruction techniques. Thereby, we focused on resolution limits, stability, reconstruction speed, and SNR. We generated experimental and simulated data and reconstructed images of the pressure distribution using four different methods: delay-and-sum (DnS), circular backprojection (CBP), generalized 2D Hough transform (HTA), and Fourier transform (FTA). All methods were able to depict the point sources properly. DnS and CBP produce blurred images containing typical superposition artifacts. The HTA provides excellent SNR and allows a good point source separation. The FTA is the fastest and shows the best FWHM. In our study, we found the FTA to show the best overall performance. It allows a very fast and theoretically exact reconstruction. Only a hardware-implemented DnS might be faster and enable real-time imaging. A commercial system may also perform several methods to fully utilize the new contrast mechanism and guarantee optimal resolution and fidelity.

  12. Image Sharing Technologies and Reduction of Imaging Utilization: A Systematic Review and Meta-analysis

    Science.gov (United States)

    Vest, Joshua R.; Jung, Hye-Young; Ostrovsky, Aaron; Das, Lala Tanmoy; McGinty, Geraldine B.

    2016-01-01

    Introduction Image sharing technologies may reduce unneeded imaging by improving provider access to imaging information. A systematic review and meta-analysis were conducted to summarize the impact of image sharing technologies on patient imaging utilization. Methods Quantitative evaluations of the effects of PACS, regional image exchange networks, interoperable electronic heath records, tools for importing physical media, and health information exchange systems on utilization were identified through a systematic review of the published and gray English-language literature (2004–2014). Outcomes, standard effect sizes (ESs), settings, technology, populations, and risk of bias were abstracted from each study. The impact of image sharing technologies was summarized with random-effects meta-analysis and meta-regression models. Results A total of 17 articles were included in the review, with a total of 42 different studies. Image sharing technology was associated with a significant decrease in repeat imaging (pooled effect size [ES] = −0.17; 95% confidence interval [CI] = [−0.25, −0.09]; P utilization (pooled ES = 0.20; 95% CI = [0.07, 0.32]; P = .002). For all outcomes combined, image sharing technology was not associated with utilization. Most studies were at risk for bias. Conclusions Image sharing technology was associated with reductions in repeat and unnecessary imaging, in both the overall literature and the most-rigorous studies. Stronger evidence is needed to further explore the role of specific technologies and their potential impact on various modalities, patient populations, and settings. PMID:26614882

  13. Vector sparse representation of color image using quaternion matrix analysis.

    Science.gov (United States)

    Xu, Yi; Yu, Licheng; Xu, Hongteng; Zhang, Hao; Nguyen, Truong

    2015-04-01

    Traditional sparse image models treat color image pixel as a scalar, which represents color channels separately or concatenate color channels as a monochrome image. In this paper, we propose a vector sparse representation model for color images using quaternion matrix analysis. As a new tool for color image representation, its potential applications in several image-processing tasks are presented, including color image reconstruction, denoising, inpainting, and super-resolution. The proposed model represents the color image as a quaternion matrix, where a quaternion-based dictionary learning algorithm is presented using the K-quaternion singular value decomposition (QSVD) (generalized K-means clustering for QSVD) method. It conducts the sparse basis selection in quaternion space, which uniformly transforms the channel images to an orthogonal color space. In this new color space, it is significant that the inherent color structures can be completely preserved during vector reconstruction. Moreover, the proposed sparse model is more efficient comparing with the current sparse models for image restoration tasks due to lower redundancy between the atoms of different color channels. The experimental results demonstrate that the proposed sparse image model avoids the hue bias issue successfully and shows its potential as a general and powerful tool in color image analysis and processing domain.

  14. Coal competitiveness?

    International Nuclear Information System (INIS)

    Rogeaux, B.

    2006-01-01

    Will coal electrical plants be more competitive in the coming years? Answering this one cannot be limited to merely comparing estimates based on reference electricity production costs. The competitiveness of coal will indeed depend on the final product marketed, as the MWhs are not equal: is the purpose to produce base, half-base MWh? Does the electrical equipment structure require flexible MWh (for instance in the event of significant intermittent renewable energy amounts), and therefore plants able to adjust their power rapidly? But the competitiveness of coal will also depend on many factors that will correct reference cost estimates: uncertainties, risks, externalities. These factors will need to be appreciated on a case by case basis. We introduce some of the reasoning used to better appreciate the future competitiveness of coal, and the main factors conditioning it in three contrasting regions of the world: Europe, USA, china. (author)

  15. Interpretation of medical images by model guided analysis

    International Nuclear Information System (INIS)

    Karssemeijer, N.

    1989-01-01

    Progress in the development of digital pictorial information systems stimulates a growing interest in the use of image analysis techniques in medicine. Especially when precise quantitative information is required the use of fast and reproducable computer analysis may be more appropriate than relying on visual judgement only. Such quantitative information can be valuable, for instance, in diagnostics or in irradiation therapy planning. As medical images are mostly recorded in a prescribed way, human anatomy guarantees a common image structure for each particular type of exam. In this thesis it is investigated how to make use of this a priori knowledge to guide image analysis. For that purpose models are developed which are suited to capture common image structure. The first part of this study is devoted to an analysis of nuclear medicine images of myocardial perfusion. In ch. 2 a model of these images is designed in order to represent characteristic image properties. It is shown that for these relatively simple images a compact symbolic description can be achieved, without significant loss of diagnostically importance of several image properties. Possibilities for automatic interpretation of more complex images is investigated in the following chapters. The central topic is segmentation of organs. Two methods are proposed and tested on a set of abdominal X-ray CT scans. Ch. 3 describes a serial approach based on a semantic network and the use of search areas. Relational constraints are used to guide the image processing and to classify detected image segments. In teh ch.'s 4 and 5 a more general parallel approach is utilized, based on a markov random field image model. A stochastic model used to represent prior knowledge about the spatial arrangement of organs is implemented as an external field. (author). 66 refs.; 27 figs.; 6 tabs

  16. Multifractal analysis of three-dimensional histogram from color images

    International Nuclear Information System (INIS)

    Chauveau, Julien; Rousseau, David; Richard, Paul; Chapeau-Blondeau, Francois

    2010-01-01

    Natural images, especially color or multicomponent images, are complex information-carrying signals. To contribute to the characterization of this complexity, we investigate the possibility of multiscale organization in the colorimetric structure of natural images. This is realized by means of a multifractal analysis applied to the three-dimensional histogram from natural color images. The observed behaviors are confronted to those of reference models with known multifractal properties. We use for this purpose synthetic random images with trivial monofractal behavior, and multidimensional multiplicative cascades known for their actual multifractal behavior. The behaviors observed on natural images exhibit similarities with those of the multifractal multiplicative cascades and display the signature of elaborate multiscale organizations stemming from the histograms of natural color images. This type of characterization of colorimetric properties can be helpful to various tasks of digital image processing, as for instance modeling, classification, indexing.

  17. Competition Regime

    Directory of Open Access Journals (Sweden)

    Danilo Icaza Ortiz

    2013-01-01

    Full Text Available This paper is a review of the competition regime works of various authors, published under the auspices of the University of the Hemispheres and the Corporation for Studies and Publications. Analyzes the structure, the general concepts, case law taken for development. Includes comments on the usefulness of this work for the study of competition law and the contribution to the lawyers who want to practice in this branch of economic law.

  18. Knowledge-based image analysis: some aspects on the analysis of images using other types of information

    Energy Technology Data Exchange (ETDEWEB)

    Eklundh, J O

    1982-01-01

    The computer vision approach to image analysis is discussed from two aspects. First, this approach is constrasted to the pattern recognition approach. Second, how external knowledge and information and models from other fields of science and engineering can be used for image and scene analysis is discussed. In particular, the connections between computer vision and computer graphics are pointed out.

  19. Ultrasonic Imaging Technology Helps American Manufacturer of Nondestructive Evaluation Equipment Become More Competitive in the Global Market

    Science.gov (United States)

    1995-01-01

    Sonix, Inc., of Springfield, Virginia, has implemented ultrasonic imaging methods developed at the NASA Lewis Research Center. These methods have heretofore been unavailable on commercial ultrasonic imaging systems and provide significantly more sensitive material characterization than conventional high-resolution ultrasonic c-scanning. The technology transfer is being implemented under a cooperative agreement between NASA and Sonix, and several invention disclosures have been submitted by Dr. Roth to protect Lewis interests. Sonix has developed ultrasonic imaging systems used worldwide for microelectronics, materials research, and commercial nondestructive evaluation (NDE). In 1993, Sonix won the U.S. Department of Commerce "Excellence in Exporting" award. Lewis chose to work with Sonix for two main reasons: (1) Sonix is an innovative leader in ultrasonic imaging systems, and (2) Sonix was willing to apply the improvements we developed with our in-house Sonix equipment. This symbiotic joint effort has produced mutual benefits. Sonix recognized the market potential of our new and highly sensitive methods for ultrasonic assessment of material quality. We, in turn, see the cooperative effort as an effective means for transferring our technology while helping to improve the product of a domestic firm.

  20. 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.

  1. 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…

  2. Applying Image Matching to Video Analysis

    Science.gov (United States)

    2010-09-01

    image groups, classified by the background scene, are the flag, the kitchen, the telephone, the bookshelf , the title screen, the...Kitchen 136 Telephone 3 Bookshelf 81 Title Screen 10 Map 1 24 Map 2 16 command line. This implementation of a Bloom filter uses two arbitrary...with the Bookshelf images. This scene is a much closer shot than the Kitchen scene so the host occupies much of the background. Algorithms for face

  3. Plant phenomics: an overview of image acquisition technologies and image data analysis algorithms.

    Science.gov (United States)

    Perez-Sanz, Fernando; Navarro, Pedro J; Egea-Cortines, Marcos

    2017-11-01

    The study of phenomes or phenomics has been a central part of biology. The field of automatic phenotype acquisition technologies based on images has seen an important advance in the last years. As with other high-throughput technologies, it addresses a common set of problems, including data acquisition and analysis. In this review, we give an overview of the main systems developed to acquire images. We give an in-depth analysis of image processing with its major issues and the algorithms that are being used or emerging as useful to obtain data out of images in an automatic fashion. © The Author 2017. Published by Oxford University Press.

  4. 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.

  5. An image analysis system for near-infrared (NIR) fluorescence lymph imaging

    Science.gov (United States)

    Zhang, Jingdan; Zhou, Shaohua Kevin; Xiang, Xiaoyan; Rasmussen, John C.; Sevick-Muraca, Eva M.

    2011-03-01

    Quantitative analysis of lymphatic function is crucial for understanding the lymphatic system and diagnosing the associated diseases. Recently, a near-infrared (NIR) fluorescence imaging system is developed for real-time imaging lymphatic propulsion by intradermal injection of microdose of a NIR fluorophore distal to the lymphatics of interest. However, the previous analysis software3, 4 is underdeveloped, requiring extensive time and effort to analyze a NIR image sequence. In this paper, we develop a number of image processing techniques to automate the data analysis workflow, including an object tracking algorithm to stabilize the subject and remove the motion artifacts, an image representation named flow map to characterize lymphatic flow more reliably, and an automatic algorithm to compute lymph velocity and frequency of propulsion. By integrating all these techniques to a system, the analysis workflow significantly reduces the amount of required user interaction and improves the reliability of the measurement.

  6. Global analysis of an impulsive delayed Lotka-Volterra competition system

    Science.gov (United States)

    Xia, Yonghui

    2011-03-01

    In this paper, a retarded impulsive n-species Lotka-Volterra competition system with feedback controls is studied. Some sufficient conditions are obtained to guarantee the global exponential stability and global asymptotic stability of a unique equilibrium for such a high-dimensional biological system. The problem considered in this paper is in many aspects more general and incorporates as special cases various problems which have been extensively studied in the literature. Moreover, applying the obtained results to some special cases, I derive some new criteria which generalize and greatly improve some well known results. A method is proposed to investigate biological systems subjected to the effect of both impulses and delays. The method is based on Banach fixed point theory and matrix's spectral theory as well as Lyapunov function. Moreover, some novel analytic techniques are employed to study GAS and GES. It is believed that the method can be extended to other high-dimensional biological systems and complex neural networks. Finally, two examples show the feasibility of the results.

  7. A powerful, yet easy to use, computerized analysis of competitive protein binding and radioimmunoassay data

    International Nuclear Information System (INIS)

    English, J.E.

    1981-01-01

    A computerized method has been developed and tested for the automatic computation of data obtained from competitive radio-binding assays, that is easily used by computer and non-computer oriented individuals. The program requires a series of only eleven parameter lines coded from the assay protocol, followed by the data exactly as it is produced from a standard sample counter. From the set of parameters the program is able to find standard curves at scattered locations through an assay, check their 'log dose-logit response' least squares linear regression equations statistically for homogeneity of slopes and elevations, pool the standard curves and check the pooled least squares linear regression equation statistically for linearity and non-linearity. The results of the pooled standard curve is presented graphically and in tabular form. Using the linear equation for the pooled standard curves, the concentration for each unknown sample is predicted with its corresponding 95% confidence interval and presented in a table of unknowns. Also provided in the table of unknowns is a mean and standard error of the mean for all biological replicates, including footnote flags to warn the user when an unknown concentration: (i) is outside the 0-100% bound range; (ii) is estimated from a range outside that covered by the standards; or (iii) was estimated from the unusable tail regions of the standard curve. (Auth.)

  8. 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.

  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. Theoretical analysis of radiographic images by nonstationary Poisson processes

    International Nuclear Information System (INIS)

    Tanaka, Kazuo; Uchida, Suguru; Yamada, Isao.

    1980-01-01

    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. (author)

  11. 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.

  12. 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...

  13. Discriminative Nonlinear Analysis Operator Learning: When Cosparse Model Meets Image Classification.

    Science.gov (United States)

    Wen, Zaidao; Hou, Biao; Jiao, Licheng

    2017-05-03

    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.

  14. Hapten design and indirect competitive immunoassay for parathion determination: Correlation with molecular modeling and principal component analysis

    Energy Technology Data Exchange (ETDEWEB)

    Liu Yihua [Institute of Pesticide and Environmental Toxicology, Zhejiang University, Hangzhou 310029 (China); Jin Maojun [Institute of Pesticide and Environmental Toxicology, Zhejiang University, Hangzhou 310029 (China); Gui Wenjun [Institute of Pesticide and Environmental Toxicology, Zhejiang University, Hangzhou 310029 (China); Cheng Jingli [Institute of Pesticide and Environmental Toxicology, Zhejiang University, Hangzhou 310029 (China); Guo Yirong [Institute of Pesticide and Environmental Toxicology, Zhejiang University, Hangzhou 310029 (China); Zhu Guonian [Institute of Pesticide and Environmental Toxicology, Zhejiang University, Hangzhou 310029 (China)]. E-mail: zhugn@zju.edu.cn

    2007-05-22

    A novel procedure for parathion hapten design is described. The optimal antigen for parathion was selected after molecular modeling studies of six types of potentially immunizing haptens with the aim to identify the best mimicking target analyte. Heterologous competitive indirect enzyme-linked immunosorbent assay (ELISA) was developed after screening a battery of competitors as coating antigens. The relationship between the heterology degree of the competitor and the resulting immunoassay detectability was investigated according to the electronic similarities of the competitor haptens and the target analyte. Molecular modeling and principal component analysis were performed to understand the electronic distribution and steric parameters of the haptens at their minimum energetic levels. The results suggested that the competitors should have a high heterology to produce assays with good detectability values. An indirect competitive ELISA was finally selected for further investigation. The immunoassay had an IC{sub 50} value of 4.79 ng mL{sup -1} and a limit of detection of 0.31 ng mL{sup -1}. There was little or no cross-reactivity to similar compounds tested except for the insecticide parathion-methyl, which showed a cross-reactivity of 7.8%.

  15. 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.

  16. Immigration and the competitiveness of an island tourism destination: a knowledge-based reputation analysis of Lanzarote, Canary Islands

    Directory of Open Access Journals (Sweden)

    Desiderio Juan García-Almeida

    2017-05-01

    Full Text Available This paper sheds light on the relationship between immigration and tourism competitiveness on the island of Lanzarote through the analysis of reputation from the demand perspective. The tourists’ knowledge about news on immigration from a destination, their contact with immigrants in the area, and the influence of the presence of immigrants there are studied, as all these factors can have a major impact on island competitiveness in tourism. The empirical work has been conducted with a survey of tourists on Lanzarote, Canary Islands, Spain. A total of 359 valid questionnaires were obtained. Results show a relatively low impact and retention of immigration news about the destination, and a low perceived contact with non-European immigrants when visiting the island. Moreover, tourists tend to recognize the positive value created by immigrants on the island, though some negative effects are also indicated. Finally, immigration seems to have a positive impact on the tourist’s global satisfaction and loyalty to the island destination.

  17. Methods for processing and analysis functional and anatomical brain images: computerized tomography, emission tomography and nuclear resonance imaging

    International Nuclear Information System (INIS)

    Mazoyer, B.M.

    1988-01-01

    The various methods for brain image processing and analysis are presented and compared. The following topics are developed: the physical basis of brain image comparison (nature and formation of signals intrinsic performance of the methods image characteristics); mathematical methods for image processing and analysis (filtering, functional parameter extraction, morphological analysis, robotics and artificial intelligence); methods for anatomical localization (neuro-anatomy atlas, proportional stereotaxic atlas, numerized atlas); methodology of cerebral image superposition (normalization, retiming); image networks [fr

  18. 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. © The Author 2016. Published by Oxford University Press on behalf of the Society for Experimental Biology.

  19. 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

    2016-01-01

    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. PMID:27141917

  20. 5-ALA induced fluorescent image analysis of actinic keratosis

    Science.gov (United States)

    Cho, Yong-Jin; Bae, Youngwoo; Choi, Eung-Ho; Jung, Byungjo

    2010-02-01

    In this study, we quantitatively analyzed 5-ALA induced fluorescent images of actinic keratosis using digital fluorescent color and hyperspectral imaging modalities. UV-A was utilized to induce fluorescent images and actinic keratosis (AK) lesions were demarcated from surrounding the normal region with different methods. Eight subjects with AK lesion were participated in this study. In the hyperspectral imaging modality, spectral analysis method was utilized for hyperspectral cube image and AK lesions were demarcated from the normal region. Before image acquisition, we designated biopsy position for histopathology of AK lesion and surrounding normal region. Erythema index (E.I.) values on both regions were calculated from the spectral cube data. Image analysis of subjects resulted in two different groups: the first group with the higher fluorescence signal and E.I. on AK lesion than the normal region; the second group with lower fluorescence signal and without big difference in E.I. between two regions. In fluorescent color image analysis of facial AK, E.I. images were calculated on both normal and AK lesions and compared with the results of hyperspectral imaging modality. The results might indicate that the different intensity of fluorescence and E.I. among the subjects with AK might be interpreted as different phases of morphological and metabolic changes of AK lesions.

  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. Rapid analysis and exploration of fluorescence microscopy images.

    Science.gov (United States)

    Pavie, Benjamin; Rajaram, Satwik; Ouyang, Austin; Altschuler, Jason M; Steininger, Robert J; Wu, Lani F; Altschuler, Steven J

    2014-03-19

    Despite rapid advances in high-throughput microscopy, quantitative image-based assays still pose significant challenges. While a variety of specialized image analysis tools are available, most traditional image-analysis-based workflows have steep learning curves (for fine tuning of analysis parameters) and result in long turnaround times between imaging and analysis. In particular, cell segmentation, the process of identifying individual cells in an image, is a major bottleneck in this regard. Here we present an alternate, cell-segmentation-free workflow based on PhenoRipper, an open-source software platform designed for the rapid analysis and exploration of microscopy images. The pipeline presented here is optimized for immunofluorescence microscopy images of cell cultures and requires minimal user intervention. Within half an hour, PhenoRipper can analyze data from a typical 96-well experiment and generate image profiles. Users can then visually explore their data, perform quality control on their experiment, ensure response to perturbations and check reproducibility of replicates. This facilitates a rapid feedback cycle between analysis and experiment, which is crucial during assay optimization. This protocol is useful not just as a first pass analysis for quality control, but also may be used as an end-to-end solution, especially for screening. The workflow described here scales to large data sets such as those generated by high-throughput screens, and has been shown to group experimental conditions by phenotype accurately over a wide range of biological systems. The PhenoBrowser interface provides an intuitive framework to explore the phenotypic space and relate image properties to biological annotations. Taken together, the protocol described here will lower the barriers to adopting quantitative analysis of image based screens.

  3. Research of second harmonic generation images based on texture analysis

    Science.gov (United States)

    Liu, Yao; Li, Yan; Gong, Haiming; Zhu, Xiaoqin; Huang, Zufang; Chen, Guannan

    2014-09-01

    Texture analysis plays a crucial role in identifying objects or regions of interest in an image. It has been applied to a variety of medical image processing, ranging from the detection of disease and the segmentation of specific anatomical structures, to differentiation between healthy and pathological tissues. Second harmonic generation (SHG) microscopy as a potential noninvasive tool for imaging biological tissues has been widely used in medicine, with reduced phototoxicity and photobleaching. In this paper, we clarified the principles of texture analysis including statistical, transform, structural and model-based methods and gave examples of its applications, reviewing studies of the technique. Moreover, we tried to apply texture analysis to the SHG images for the differentiation of human skin scar tissues. Texture analysis method based on local binary pattern (LBP) and wavelet transform was used to extract texture features of SHG images from collagen in normal and abnormal scars, and then the scar SHG images were classified into normal or abnormal ones. Compared with other texture analysis methods with respect to the receiver operating characteristic analysis, LBP combined with wavelet transform was demonstrated to achieve higher accuracy. It can provide a new way for clinical diagnosis of scar types. At last, future development of texture analysis in SHG images were discussed.

  4. The image of a research institution as an important element in shaping the level of competitiveness of the organisation

    OpenAIRE

    Świeczak Witold

    2017-01-01

    The primary objective of the publication is defining the factors and processes affecting the efficient course of actions undertaken around building a positive image of the organisation. The study raises key aspects of this issue. The diagnosis providing that the recipient is guided in his/her purchasing decisions by the opinions about a given product or service that reach them through all the available content distribution channels is appearing increasingly often in subsequent study findings....

  5. Uncooled LWIR imaging: applications and market analysis

    Science.gov (United States)

    Takasawa, Satomi

    2015-05-01

    The evolution of infrared (IR) imaging sensor technology for defense market has played an important role in developing commercial market, as dual use of the technology has expanded. In particular, technologies of both reduction in pixel pitch and vacuum package have drastically evolved in the area of uncooled Long-Wave IR (LWIR; 8-14 μm wavelength region) imaging sensor, increasing opportunity to create new applications. From the macroscopic point of view, the uncooled LWIR imaging market is divided into two areas. One is a high-end market where uncooled LWIR imaging sensor with sensitivity as close to that of cooled one as possible is required, while the other is a low-end market which is promoted by miniaturization and reduction in price. Especially, in the latter case, approaches towards consumer market have recently appeared, such as applications of uncooled LWIR imaging sensors to night visions for automobiles and smart phones. The appearance of such a kind of commodity surely changes existing business models. Further technological innovation is necessary for creating consumer market, and there will be a room for other companies treating components and materials such as lens materials and getter materials and so on to enter into the consumer market.

  6. Metop SG Ice Cloud Imager data analysis preparations

    Science.gov (United States)

    Eriksson, Patrick; Mendrok, Jana; Ekelund, Robin; Rydberg, Bengt; Brath, Manfred; Buehler, Stefan A.

    2017-04-01

    The Ice Cloud Imager (ICI), one the instruments to be onboard the second generation (SG) of Metop satellites, will be the first operational instrument making use of sub-millimeter wavelengths. Increasing the sensitivity of microwave ice hydrometeor measurements with at least two orders of magnitude, its primary aim is to characterize the bulk mass of ice hydrometeors, where the basic retrieval products will be ice water path, mean mass size, and mean mass altitude. With the expected competitive accuracy it can e.g. complement the narrow horizontal coverage of active instruments. Here we present our activities to develop and improve the data analysis for passive sub-millimeter sensors and ICI in particular, where for the latter we are also developing the froaen hydrometeor retrieval algorithm on behalf of EUMETSAT and its NWC-SAF. One crucial aspect in the data analysis is the quality of the forward modeling, the ability to produce realistic, statistically representative synthetic measurements and to reproduce the performed observations, which poses challenges regarding representation of hydrometeor microphysical as well as optical properties and of the radiative transfer problem itself (atmospheric dimensionality, polarization, etc.). One of our core activities is the creation of a consistent database of ice hydrometeor single scattering properties that covers not only ICI applications, but passive and active sensors in the whole microwave region. The database will fill the gaps (spectral, temperature, habits) of and between existing databases (e.g. by Liu, Hong, Ding, Kuo) and will also hold data for oriented particles. Furthermore, sensitivity to forward modeling assumptions is tested, and the results are validated statistically versus existing (satellite microwave and airborne sub-millimeter) observations. These assumptions include microphysics (e.g. size distributions, habit choices, particle orientation) as well as model complexity (e.g. 3D effects

  7. Analysis of Dietary Intake and Body Composition of Female Athletes over a Competitive Season

    Directory of Open Access Journals (Sweden)

    Svetlana Nepocatych

    2017-09-01

    Full Text Available The purpose of the study was to examine dietary intake, body composition and bone mineral density changes at the beginning and end of a competitive season in female athletes of sports that have been less represented in the literature. NCAA Division I basketball (n=10 and softball (n=10 players mean age (20±1 years completed 3-day food records at the beginning and end of season. Body composition and bone mineral density were measured using dual-energy X-ray absorptiometry (DXA. Mean energy intake was significantly lower at the beginning compared to the end of the season (1925±466 vs. 2326±782 kcals/day; p=0.02. Lean, fat, and total body mass, and total and regional BMD were unaltered from the beginning to the end of season (p>0.05. Macronutrient consumption by percentage did not change across the season (p>0.05 with aggregate data equalling 3.5±1.3, 1.2±0.6, and 1.2±0.5 g/kg/day for carbohydrate, fat, and protein respectively. Carbohydrate and protein intakes were below the recommended levels. Low intake of fibre (17±6.3 g/day and high sodium (3700±1120 mg/day also raise concerns. Despite no major alterations in body composition or BMD many female athletes’ diets in the sports investigated while living on campus failed to meet recommended intake levels suggesting maximal athletic performance and health parameters may be stunted due to poor nutrient choices.

  8. Dietary analysis of young professional soccer players for 1 week during the competitive season.

    Science.gov (United States)

    Russell, Mark; Pennock, Anthony

    2011-07-01

    Limited data exist concerning the dietary practices of young professional soccer players that compete within the United Kingdom. Therefore, the purpose of this study was to investigate the nutritional and activity habits of professional male soccer players (n = 10; age: 17 ± 1 years, height: 1.72 ± 0.01 m, mass: 67.5 ± 1.8 kg, estimated maximal aerobic capacity: 57.8 ± 0.9 ml·kg·min) who played for the youth team of a UK-based Championship club. All players recorded their 7-day dietary intake and activity habits during a competitive week that included a match day, 4- training days, and 2 rest days in the first half of the 2009/2010 playing season. The intake of carbohydrates (5.9 ± 0.4 g·kg·d), proteins (1.7 ± 0.1 g·kg·d), and fats (1.5 ± 0.1 g·kg·d) represented 56 ± 1, 16 ± 1, and 31 ± 1% of the mean daily energy intake respectively. The intake of fiber was found to be significantly lower than Recommended Nutrient Intake (RNI) values (67% of RNI, p nutritional practices of the sampled group of professional youth soccer players were inadequate to sustain optimized performance throughout training and match play. Youth soccer players should therefore seek to ensure that their diets contain adequate energy through increased total caloric intake, while also optimizing the proportion of energy derived from carbohydrates and ensuring that enough fiber-rich foods are consumed.

  9. 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

  10. Analysis of live cell images: Methods, tools and opportunities.

    Science.gov (United States)

    Nketia, Thomas A; Sailem, Heba; Rohde, Gustavo; Machiraju, Raghu; Rittscher, Jens

    2017-02-15

    Advances in optical microscopy, biosensors and cell culturing technologies have transformed live cell imaging. Thanks to these advances live cell imaging plays an increasingly important role in basic biology research as well as at all stages of drug development. Image analysis methods are needed to extract quantitative information from these vast and complex data sets. The aim of this review is to provide an overview of available image analysis methods for live cell imaging, in particular required preprocessing image segmentation, cell tracking and data visualisation methods. The potential opportunities recent advances in machine learning, especially deep learning, and computer vision provide are being discussed. This review includes overview of the different available software packages and toolkits. Copyright © 2017. Published by Elsevier Inc.

  11. Analysis of the gammaholographic image formation

    International Nuclear Information System (INIS)

    Fonroget, J.; Roucayrol, J.C.; Perrin, J.; Belvaux, Y.; Paris-11 Univ., 91 - Orsay

    1975-01-01

    Gammaholography, or coded opening gammagraphy, is a new gammagraphic method in which the standard collimators are replaced by one or more modulator screens placed between the detector and the radioactive object. The recording obtained is a coded image or incoherent hologram which contains three-dimensional information on the object and can be decoded analogically in a very short time. The formation of the image has been analyzed in the coding and optical decoding phases in the case of a single coding screen modulated according to a Fresnel zoned lattice. The analytical expression established for the modulation transfer function (MTF) of the system can be used to study, by computerized simulation, the influence of the number of zones on the quality of the image [fr

  12. Imaging analysis of dedifferentiated chondrosarcoma of bone

    International Nuclear Information System (INIS)

    Xie Yuanzhong; Kong Qingkui; Wang Xia; Li Changqing

    2004-01-01

    Objective: To analyze the radiological findings of dedifferentiated chondrosarcoma, and to explore the imaging features of dedifferentiated tissue. Methods: The X-ray and CT findings of 13 cases with dedifferentiated chondrosarcoma of bone were analyzed retrospectively, and studied with clinic and corresponding histological changes. Results: The dedifferentiated chondrosarcoma not only had the radiological findings of typical chondrosarcoma but also had the imaging features of dedifferentiated tissues. In 13 patients, periosteal reactions were found in 11 cases, ossifications in 8 cases, soft tissue masses in 12 cases, calcifications in 10 cases, and the site of calcifications in 8 cases was in the center of the focus. Conclusion: The dedifferentiated chondrosarcoma showed special imaging features, which includes ossification, calcification, periosteal reaction, and soft tissue mass. These features were not found in typical chondrosarcoma. Recognizing these specific features is helpful to the diagnosis of dedifferentiated chondrosarcoma. (author)

  13. System Matrix Analysis for Computed Tomography Imaging

    Science.gov (United States)

    Flores, Liubov; Vidal, Vicent; Verdú, Gumersindo

    2015-01-01

    In practical applications of computed tomography imaging (CT), it is often the case that the set of projection data is incomplete owing to the physical conditions of the data acquisition process. On the other hand, the high radiation dose imposed on patients is also undesired. These issues demand that high quality CT images can be reconstructed from limited projection data. For this reason, iterative methods of image reconstruction have become a topic of increased research interest. Several algorithms have been proposed for few-view CT. We consider that the accurate solution of the reconstruction problem also depends on the system matrix that simulates the scanning process. In this work, we analyze the application of the Siddon method to generate elements of the matrix and we present results based on real projection data. PMID:26575482

  14. Analysis of Non Local Image Denoising Methods

    Science.gov (United States)

    Pardo, Álvaro

    Image denoising is probably one of the most studied problems in the image processing community. Recently a new paradigm on non local denoising was introduced. The Non Local Means method proposed by Buades, Morel and Coll attracted the attention of other researches who proposed improvements and modifications to their proposal. In this work we analyze those methods trying to understand their properties while connecting them to segmentation based on spectral graph properties. We also propose some improvements to automatically estimate the parameters used on these methods.

  15. Analysis of PETT images in psychiatric disorders

    International Nuclear Information System (INIS)

    Brodie, J.D.; Gomez-Mont, F.; Volkow, N.D.; Corona, J.F.; Wolf, A.P.; Wolkin, A.; Russell, J.A.G.; Christman, D.; Jaeger, J.

    1983-01-01

    A quantitative method is presented for studying the pattern of metabolic activity in a set of Positron Emission Transaxial Tomography (PETT) images. Using complex Fourier coefficients as a feature vector for each image, cluster, principal components, and discriminant function analyses are used to empirically describe metabolic differences between control subjects and patients with DSM III diagnosis for schizophrenia or endogenous depression. We also present data on the effects of neuroleptic treatment on the local cerebral metabolic rate of glucose utilization (LCMRGI) in a group of chronic schizophrenics using the region of interest approach. 15 references, 4 figures, 3 tables

  16. Analysis of PETT images in psychiatric disorders

    Energy Technology Data Exchange (ETDEWEB)

    Brodie, J.D.; Gomez-Mont, F.; Volkow, N.D.; Corona, J.F.; Wolf, A.P.; Wolkin, A.; Russell, J.A.G.; Christman, D.; Jaeger, J.

    1983-01-01

    A quantitative method is presented for studying the pattern of metabolic activity in a set of Positron Emission Transaxial Tomography (PETT) images. Using complex Fourier coefficients as a feature vector for each image, cluster, principal components, and discriminant function analyses are used to empirically describe metabolic differences between control subjects and patients with DSM III diagnosis for schizophrenia or endogenous depression. We also present data on the effects of neuroleptic treatment on the local cerebral metabolic rate of glucose utilization (LCMRGI) in a group of chronic schizophrenics using the region of interest approach. 15 references, 4 figures, 3 tables.

  17. Independent component analysis based filtering for penumbral imaging

    International Nuclear Information System (INIS)

    Chen Yenwei; Han Xianhua; Nozaki, Shinya

    2004-01-01

    We propose a filtering based on independent component analysis (ICA) for Poisson noise reduction. In the proposed filtering, the image is first transformed to ICA domain and then the noise components are removed by a soft thresholding (shrinkage). The proposed filter, which is used as a preprocessing of the reconstruction, has been successfully applied to penumbral imaging. Both simulation results and experimental results show that the reconstructed image is dramatically improved in comparison to that without the noise-removing filters

  18. Architectural design and analysis of a programmable image processor

    International Nuclear Information System (INIS)

    Siyal, M.Y.; Chowdhry, B.S.; Rajput, A.Q.K.

    2003-01-01

    In this paper we present an architectural design and analysis of a programmable image processor, nicknamed Snake. The processor was designed with a high degree of parallelism to speed up a range of image processing operations. Data parallelism found in array processors has been included into the architecture of the proposed processor. The implementation of commonly used image processing algorithms and their performance evaluation are also discussed. The performance of Snake is also compared with other types of processor architectures. (author)

  19. GEOPOSITIONING PRECISION ANALYSIS OF MULTIPLE IMAGE TRIANGULATION USING LRO NAC LUNAR IMAGES

    Directory of Open Access Journals (Sweden)

    K. Di

    2016-06-01

    Full Text Available This paper presents an empirical analysis of the geopositioning precision of multiple image triangulation using Lunar Reconnaissance Orbiter Camera (LROC Narrow Angle Camera (NAC images at the Chang’e-3(CE-3 landing site. Nine LROC NAC images are selected for comparative analysis of geopositioning precision. Rigorous sensor models of the images are established based on collinearity equations with interior and exterior orientation elements retrieved from the corresponding SPICE kernels. Rational polynomial coefficients (RPCs of each image are derived by least squares fitting using vast number of virtual control points generated according to rigorous sensor models. Experiments of different combinations of images are performed for comparisons. The results demonstrate that the plane coordinates can achieve a precision of 0.54 m to 2.54 m, with a height precision of 0.71 m to 8.16 m when only two images are used for three-dimensional triangulation. There is a general trend that the geopositioning precision, especially the height precision, is improved with the convergent angle of the two images increasing from several degrees to about 50°. However, the image matching precision should also be taken into consideration when choosing image pairs for triangulation. The precisions of using all the 9 images are 0.60 m, 0.50 m, 1.23 m in along-track, cross-track, and height directions, which are better than most combinations of two or more images. However, triangulation with selected fewer images could produce better precision than that using all the images.

  20. 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. © 2016 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.