WorldWideScience

Sample records for local curricula based

  1. Asset-Based Community Development as a Strategy for Developing Local Global Health Curricula.

    Science.gov (United States)

    Webber, Sarah; Butteris, Sabrina M; Houser, Laura; Coller, Karen; Coller, Ryan J

    2018-02-07

    A significant and growing proportion of US children have immigrant parents, an issue of increasing importance to pediatricians. Training globally minded pediatric residents to address health inequities related to globalization is an important reason to expand educational strategies around local global health (LGH). We developed a curriculum in the pediatric global health residency track at the University of Wisconsin in an effort to address gaps in LGH education and to increase resident knowledge about local health disparities for global community members. This curriculum was founded in asset-based community development (ABCD), a strategy used in advocacy training but not reported in global health education. The initial curriculum outputs have provided the foundation for a longitudinal LGH curriculum and a community-academic partnership. Supported by a community partnership grant, this partnership is focused on establishing a community-based postpartum support group for local Latinos, with an emphasis on building capacity in the Latino community. Aspects of this curriculum can serve other programs looking to develop LGH curricula rooted in building local partnerships and capacity using an ABCD model. Copyright © 2018 Academic Pediatric Association. Published by Elsevier Inc. All rights reserved.

  2. Tool-Based Curricula and Visual Learning

    Directory of Open Access Journals (Sweden)

    Dragica Vasileska

    2013-12-01

    Full Text Available In the last twenty years nanotechnology hasrevolutionized the world of information theory, computers andother important disciplines, such as medicine, where it hascontributed significantly in the creation of more sophisticateddiagnostic tools. Therefore, it is important for people working innanotechnology to better understand basic concepts to be morecreative and productive. To further foster the progress onNanotechnology in the USA, the National Science Foundation hascreated the Network for Computational Nanotechnology (NCNand the dissemination of all the information from member andnon-member participants of the NCN is enabled by thecommunity website www.nanoHUB.org. nanoHUB’s signatureservices online simulation that enables the operation ofsophisticated research and educational simulation engines with acommon browser. No software installation or local computingpower is needed. The simulation tools as well as nano-conceptsare augmented by educational materials, assignments, and toolbasedcurricula, which are assemblies of tools that help studentsexcel in a particular area.As elaborated later in the text, it is the visual mode of learningthat we are exploiting in achieving faster and better results withstudents that go through simulation tool-based curricula. Thereare several tool based curricula already developed on thenanoHUB and undergoing further development, out of which fiveare directly related to nanoelectronics. They are: ABACUS –device simulation module; ACUTE – Computational Electronicsmodule; ANTSY – bending toolkit; and AQME – quantummechanics module. The methodology behind tool-based curriculais discussed in details. Then, the current status of each module ispresented, including user statistics and student learningindicatives. Particular simulation tool is explored further todemonstrate the ease by which students can grasp information.Representative of Abacus is PN-Junction Lab; representative ofAQME is PCPBT tool; and

  3. Building locally relevant ethics curricula for nursing education in Botswana.

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    Barchi, F; Kasimatis Singleton, M; Magama, M; Shaibu, S

    2014-12-01

    The goal of this multi-institutional collaboration was to develop an innovative, locally relevant ethics curriculum for nurses in Botswana. Nurses in Botswana face ethical challenges that are compounded by lack of resources, pressures to handle tasks beyond training or professional levels, workplace stress and professional isolation. Capacity to teach nursing ethics in the classroom and in professional practice settings has been limited. A pilot curriculum, including cases set in local contexts, was tested with nursing faculty in Botswana in 2012. Thirty-three per cent of the faculty members indicated they would be more comfortable teaching ethics. A substantial number of faculty members were more likely to introduce the International Council of Nurses Code of Ethics in teaching, practice and mentoring as a result of the training. Based on evaluation data, curricular materials were developed using the Code and the regulatory requirements for nursing practice in Botswana. A web-based repository of sample lectures, discussion cases and evaluation rubrics was created to support the use of the materials. A new master degree course, Nursing Ethics in Practice, has been proposed for fall 2015 at the University of Botswana. The modular nature of the materials and the availability of cases set within the context of clinical nurse practice in Botswana make them readily adaptable to various student academic levels and continuing professional development programmes. The ICN Code of Ethics for Nursing is a valuable teaching tool in developing countries when taught using locally relevant case materials and problem-based teaching methods. The approach used in the development of a locally relevant nursing ethics curriculum in Botswana can serve as a model for nursing education and continuing professional development programmes in other sub-Saharan African countries to enhance use of the ICN Code of Ethics in nursing practice. © 2014 International Council of Nurses.

  4. Doing the Project and Learning the Content: Designing Project-Based Science Curricula for Meaningful Understanding

    Science.gov (United States)

    Kanter, David E.

    2010-01-01

    Project-based science curricula can improve students' usable or meaningful understanding of the science content underlying a project. However, such curricula designed around "performances" wherein students design or make something do not always do this. We researched ways to design performance project-based science curricula (pPBSc) to better…

  5. Concept-Based Curricula: A National Study of Critical Concepts.

    Science.gov (United States)

    Brussow, Jennifer A; Roberts, Karin; Scaruto, Matthew; Sommer, Sheryl; Mills, Christine

    2018-02-22

    As nursing education struggles to address a rapidly changing health care system, overcrowded curricula, and an increased focus on clinical reasoning skills, many programs have adopted or transitioned to concept-based curricula (CBCs), which are structured around key concepts and exemplars. Despite CBC's promised benefits, the process of developing a CBC framework may pose a challenge to programs. To address this barrier, a national study was conducted to develop a representative list of concepts and exemplars. This initiative expands on prior work by suggesting a leveled approach to positioning exemplars within a curricular sequence.This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal.

  6. Dysfunctional problem-based learning curricula: resolving the problem

    Directory of Open Access Journals (Sweden)

    Lim William K

    2012-09-01

    Full Text Available Abstract Background Problem-based learning (PBL has become the most significant innovation in medical education of the past 40 years. In contrast to exam-centered, lecture-based conventional curricula, PBL is a comprehensive curricular strategy that fosters student-centred learning and the skills desired in physicians. The rapid spread of PBL has produced many variants. One of the most common is 'hybrid PBL' where conventional teaching methods are implemented alongside PBL. This paper contends that the mixing of these two opposing educational philosophies can undermine PBL and nullify its positive benefits. Schools using hybrid PBL and lacking medical education expertise may end up with a dysfunctional curriculum worse off than the traditional approach. Discussion For hybrid PBL schools with a dysfunctional curriculum, standard PBL is a cost-feasible option that confers the benefits of the PBL approach. This paper describes the signs of a dysfunctional PBL curriculum to aid hybrid PBL schools in recognising curricular breakdown. Next it discusses alternative curricular strategies and costs associated with PBL. It then details the four critical factors for successful conversion to standard PBL: dealing with staff resistance, understanding the role of lectures, adequate time for preparation and support from the administrative leadership. Summary Hybrid PBL curricula without oversight by staff with medical education expertise can degenerate into dysfunctional curricula inferior even to the traditional approach from which PBL emerged. Such schools should inspect their curriculum periodically for signs of dysfunction to enable timely corrective action. A decision to convert fully to standard PBL is cost feasible but will require time, expertise and commitment which is only sustainable with supportive leadership.

  7. Problem Based Internship in Surveying and Planning Curricula

    DEFF Research Database (Denmark)

    Sørensen, Esben Munk; Enemark, Stig

    2006-01-01

    Programme has been divided into a 3 year Bachelor-Programme and after this a 2 year Master-Programme. It has been done as a part of a governmental policy to adapt and fulfil the Bologna-charter in all University Curricula in Denmark. A new element in the Master Programme is a problem-based internship...... economy and – leadership”. This course is organized as an e-Learning course and the student has to develop and document their skills to follow distance e-learning courses. It will prepare them to follow and organize self paced learning in virtual environment which will develop their capacity for life...... by the society to serve the community with still more new knowledge and technology transfer from the international research community. The internship and still more real world influenced problem based learning by writing thesis will be and important bridge builder in the following years....

  8. Nuclear engineering education: A competence based approach to curricula development

    International Nuclear Information System (INIS)

    2014-01-01

    Maintaining nuclear competencies in the nuclear industry is a one of the most critical challenges in the near future. With the development of a number of nuclear engineering educational programmes in several States, this publication provides guidance to decision makers in Member States on a competence based approach to curricula development, presenting the established practices and associated requirements for educational programmes in this field. It is a consolidation of best practices that will ensure sustainable, effective nuclear engineering programmes, contributing to the safe, efficient and economic operation of nuclear power plants. The information presented is drawn from a variety of recognized nuclear engineering programmes around the world and contributes to the main areas that are needed to ensure a viable and robust nuclear industry

  9. Engagement in Science and Engineering through Animal-Based Curricula

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    Mueller, Megan Kiely; Byrnes, Elizabeth M.; Buczek, Danielle; Linder, Deborah E.; Freeman, Lisa M.; Webster, Cynthia R. L.

    2018-01-01

    One of the persistent challenges in science, technology, engineering, and math (STEM) education is increasing interest, learning, and retention, particularly with regard to girls and students in underserved areas. Educational curricula that promote process and content knowledge development as well as interest and engagement in STEM are critical in…

  10. Multi-Cultural Competency-Based Vocational Curricula. Food Service. Multi-Cultural Competency-Based Vocational/Technical Curricula Series.

    Science.gov (United States)

    Hepburn, Larry; Shin, Masako

    This document, one of eight in a multi-cultural competency-based vocational/technical curricula series, is on food service. This program is designed to run 24 weeks and cover 15 instructional areas: orientation, sanitation, management/planning, preparing food for cooking, preparing beverages, cooking eggs, cooking meat, cooking vegetables,…

  11. Multi-Cultural Competency-Based Vocational Curricula. Automotive Mechanics. Multi-Cultural Competency-Based Vocational/Technical Curricula Series.

    Science.gov (United States)

    Hepburn, Larry; Shin, Masako

    This document, one of eight in a multi-cultural competency-based vocational/technical curricula series, is on automotive mechanics. This program is designed to run 36 weeks and cover 10 instructional areas: the engine; drive trains--rear ends/drive shafts/manual transmission; carburetor; emission; ignition/tune-up; charging and starting;…

  12. Influence of national culture on the adoption of integrated and problem-based curricula in Europe.

    Science.gov (United States)

    Jippes, Mariëlle; Majoor, Gerard D

    2008-03-01

    There is an evident misbalance in the frequency of medical schools with problem-based learning (PBL) curricula in northern versus southern Europe. This study explores the hypothesis that national culture influences the flexibility of (medical) schools in terms of their propensity to adopt integrated and PBL curricula. National culture was defined by a country's scores on indexes for 4 dimensions of culture as described by Hofstede, defined as: power distance; individualism/collectivism; masculinity/femininity, and uncertainty avoidance. Non-integrated medical curricula were defined as those that included courses in 2 of the 3 basic sciences (anatomy, biochemistry and physiology) in the first 2 years; otherwise, by exclusion, curricula were assumed to be integrated. The medical curricula of 134 of the 263 schools in the 17 European countries included in Hofstede's study were examined. Correlations were calculated between the percentage of integrated medical curricula in a country and that country's scores on indexes for each of the 4 dimensions of culture. Significant negative correlations were found between the percentage of integrated curricula and scores on the power distance index (correlation coefficient [CC]: - 0.692; P = 0.002) and the uncertainty avoidance index (CC: - 0.704; P = 0.002). No significant correlations were found between the percentage of integrated curricula and scores on the indexes for individualism/collectivism and masculinity/femininity. A (medical) school which is considering adopting an integrated or PBL curriculum and which is based in a country with a high score on Hofstede's power distance index and/or uncertainty avoidance index must a priori design strategies to reduce or overcome the obstructive effects of these dimensions of culture on the school's organisation.

  13. Effectiveness of school-based smoking prevention curricula: systematic review and meta-analysis.

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    Thomas, Roger E; McLellan, Julie; Perera, Rafael

    2015-03-10

    To assess effectiveness of school-based smoking prevention curricula keeping children never-smokers. Systematic review, meta-analysis. MEDLINE (1966+), EMBASE (1974+), Cinahl, PsycINFO (1967+), ERIC (1982+), Cochrane CENTRAL, Health Star, Dissertation Abstracts, conference proceedings. pooled analyses, fixed-effects models, adjusted ORs. Risk of bias assessed with Cochrane Risk of Bias tool. 50 randomised controlled trials (RCTs) of school-based smoking curricula. Never-smokers age 5-18 (n=143,495); follow-up ≥6 months; all countries; no date/language limitations. Information, social influences, social competence, combined social influences/competence and multimodal curricula. Remaining a never-smoker at follow-up. Pooling all curricula, trials with follow-up ≤1 year showed no statistically significant differences compared with controls (OR 0.91 (0.82 to 1.01)), though trials of combined social competence/social influences curricula had a significant effect on smoking prevention (7 trials, OR 0.59 (95% CI 0.41 to 0.85)). Pooling all trials with longest follow-up showed an overall significant effect in favour of the interventions (OR 0.88 (0.82 to 0.95)), as did the social competence (OR 0.65 (0.43 to 0.96)) and combined social competence/social influences curricula (OR 0.60 (0.43 to 0.83)). No effect for information, social influences or multimodal curricula. Principal findings were not sensitive to inclusion of booster sessions in curricula or to whether they were peer-led or adult-led. Differentiation into tobacco-only or multifocal curricula had a similar effect on the primary findings. Few trials assessed outcomes by gender: there were significant effects for females at both follow-up periods, but not for males. RCTs of baseline never-smokers at longest follow-up found an overall significant effect with average 12% reduction in starting smoking compared with controls, but no effect for all trials pooled at ≤1 year. However, combined social

  14. Learning Biology through Innovative Curricula: A Comparison of Game- and Nongame-Based Approaches

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    Sadler, Troy D.; Romine, William L.; Menon, Deepika; Ferdig, Richard E.; Annetta, Leonard

    2015-01-01

    This study explored student learning in the context of innovative biotechnology curricula and the effects of gaming as a central element of the learning experience. The quasi-experimentally designed study compared learning outcomes between two curricular approaches: One built around a computer-based game, and the other built around a narrative…

  15. Comparing Student Success and Understanding in Introductory Statistics under Consensus and Simulation-Based Curricula

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    Hldreth, Laura A.; Robison-Cox, Jim; Schmidt, Jade

    2018-01-01

    This study examines the transferability of results from previous studies of simulation-based curriculum in introductory statistics using data from 3,500 students enrolled in an introductory statistics course at Montana State University from fall 2013 through spring 2016. During this time, four different curricula, a traditional curriculum and…

  16. Promoting Problem-Based Learning in Retailing and Services Marketing Course Curricula with Reality Television

    Science.gov (United States)

    Rosenbaum, Mark S.; Otalora, Mauricio Losada; Ramírez, Germán Contreras

    2015-01-01

    This research provides business educators who teach retailing and services courses with an innovative way to encourage students to engage in problem-based learning solving by incorporating reality television into their curricula. The authors explore the reality television genre from several theoretical perspectives to lend support to the…

  17. Evidence-based practice in Physiotherapy curricula: A survey of Indian Health Science Universities

    Directory of Open Access Journals (Sweden)

    VRUSHALI P PANHALE

    2017-07-01

    Full Text Available Introduction: Evidence-based practice (EBP is the conscientious, explicit and judicious use of the current evidence in clinical decision making. The physiotherapy profession has expressed a commitment to the development and use of evidence. However, very little is known about the extent to which EBP is integrated in physiotherapy curricula in India. The purpose of this study was to describe integration of EBP in Indian physiotherapy programs. Methods: An observational study was conducted where a review of curricula of all Health Science Universities (HSU in India, offering an undergraduate (UG and post-graduate (PG degree program in physical therapy was conducted using a data abstraction sheet. It gathered data on inclusion of research components of EBP in the curricula, content and hours of teaching EBP, and assessment methods. Data were analyzed descriptively. Results: Curricula of fifteen HSU offering physiotherapy programs were reviewed. Contents relevant to EBP were incorporated from the 2nd yr to final year. Common courses included research methodology (84.61%, research project (69.23% and clinical management subjects (57.14%. No guidelines were given about adopting EBP in clinical practice. Didactic lectures were the mode of teaching (81.81%. Preferred method for assessing research projects was viva (44.44%. Critical appraisal was least included in the entry level education. Contents relevant to all the five steps of EBP were included in PG curricula. Conclusions: Though physiotherapy programs are introducing EBP teaching at the entry level, it lacks structured systematic approach and is fragmented. There is inadequate emphasis on clinical oriented teaching of EBP and assessment methods. Moreover, there is adequate coverage of EBP content in PG curricula.

  18. Use of Case-Based Learning in Dental Hygiene Curricula.

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    Vaughan, Dina Agnone; DeBiase, Christina B.; Gibson-Howell, Joan C.

    1998-01-01

    A survey investigated the extent of use of case-based learning in 141 dental hygiene programs. A majority of responding schools use the approach, most frequently in clinical dental hygiene, community dental health, and dental science courses. Proportion of instructional time was greatest in the content areas of special needs, ethics, medical…

  19. Identifying content for simulation-based curricula in urology

    DEFF Research Database (Denmark)

    Nayahangan, Leizl Joy; Hansen, Rikke Bolling; Lindorff-Larsen, Karen Gilboe

    2017-01-01

    to identify technical procedures in urology that should be included in a simulation-based curriculum for residency training. MATERIALS AND METHODS: A national needs assessment was performed using the Delphi method involving 56 experts with significant roles in the education of urologists. Round 1 identified...

  20. Bundling in Place: Translating the NGSS into Place-Based Earth-System Science Curricula

    Science.gov (United States)

    Semken, S. C.

    2016-12-01

    Bundling is the process of grouping Performance Expectations (PEs) from the Next Generation Science Standards (NGSS) into coherent units based on a defined topic, idea, question, or phenomenon. Bundling sorts the PEs for a given grade or grade band into a teachable narrative: a key stage in building curriculum, instruction, and assessment from the NGSS. To encourage and facilitate this, bundling guidelines have recently been released on the NGSS website (nextgenscience.org/glossary/bundlesbundling), and example bundles for different grade bands and disciplines are also being developed and posted there. According to these guidelines the iterative process of bundling begins with organization of PEs according to natural connections among them, and alignment of the three NGSS dimensions (Disciplinary Core Ideas, Cross-Cutting Concepts, and Science and Engineering Practices) that underpin each PE. Bundles are grouped by coherence and increasing complexity into courses, and courses into course sets that should encompass all PEs for a grade band. Bundling offers a natural way to translate the NGSS into highly contextualized curricula such as place-based (PB) teaching, which is situated in specific places or regions and focused on natural and cultural features, processes, phenomena, history, and challenges to sustainability therein. Attributes of place and our individual and collective connections to place (sense of place) directly inform PB curriculum, pedagogy, and assessment. PEs can be bundled by their relevance to these themes. Following the NGSS guidelines, I model the process for PB instruction by bundling PEs around the themes of Paleozoic geology and carbonate deposition and their relationships to mining and calcining of limestone in Anthropocene cement production for developing communities. The bundles integrate aspects of Earth history, the carbon cycle, mineral resources, climate change, and sustainability using specific local examples and narratives. They are

  1. Job requirements compared to medical school education: differences between graduates from problem-based learning and conventional curricula

    Directory of Open Access Journals (Sweden)

    Federkeil Gero

    2010-01-01

    Full Text Available Abstract Background Problem-based Learning (PBL has been suggested as a key educational method of knowledge acquisition to improve medical education. We sought to evaluate the differences in medical school education between graduates from PBL-based and conventional curricula and to what extent these curricula fit job requirements. Methods Graduates from all German medical schools who graduated between 1996 and 2002 were eligible for this study. Graduates self-assessed nine competencies as required at their day-to-day work and as taught in medical school on a 6-point Likert scale. Results were compared between graduates from a PBL-based curriculum (University Witten/Herdecke and conventional curricula. Results Three schools were excluded because of low response rates. Baseline demographics between graduates of the PBL-based curriculum (n = 101, 49% female and the conventional curricula (n = 4720, 49% female were similar. No major differences were observed regarding job requirements with priorities for "Independent learning/working" and "Practical medical skills". All competencies were rated to be better taught in PBL-based curriculum compared to the conventional curricula (all p Conclusion Among medical graduates in Germany, PBL demonstrated benefits with regard to competencies which were highly required in the job of physicians. Research and business competence deserve closer attention in future curricular development.

  2. Evidence-based practice in speech-language pathology curricula: a scoping study.

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    Togher, Leanne; Yiannoukas, Corina; Lincoln, Michelle; Power, Emma; Munro, Natalie; Mccabe, Patricia; Ghosh, Pratiti; Worrall, Linda; Ward, Elizabeth; Ferguson, Alison; Harrison, Elisabeth; Douglas, Jacinta

    2011-12-01

    This scoping study investigated how evidence-based practice (EBP) principles are taught in Australian speech-language pathology (SLP) teaching and learning contexts. It explored how Australian SLP university programs: (1) facilitate student learning about the principles of EBP in academic and clinical settings, and (2) self-evaluate their curricula in relation to EBP. The research involved two surveys. Survey 1 respondents were 131 academic staff, program coordinators, and on-campus and off-campus clinical educators. This survey gathered information about EBP teaching and learning in SLP programs as well as future EBP curriculum plans. Survey 2 investigated how clinical educators incorporated EBP into the way they taught clinical decision-making to students. Surveys responses from 85 clinical educators were analysed using descriptive and non-parametric statistics and thematic grouping of open-ended qualitative responses. Both surveys revealed strengths and gaps in integrating EBP into Australian SLP curricula. Perceived strengths were that respondents were positive about EBP, most had EBP training and access to EBP resources. The perceived gaps included the academic staff's perceptions of students' understanding and application of EBP, respondents' understanding of research methodologies, communication and collaboration between academic staff and clinical educators, and a lack of explicit discussion by clinical educators and students of EBP in relation to clients.

  3. Licensed physicians – competent physicians?: The new German licensure law as a basis for competency-based curricula

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    Öchsner, Wolfgang

    2005-01-01

    Full Text Available Background: Competency-based curricula define their educational goals according to profession-specific roles and competencies. Thus, this type of curricula is outcome-oriented, in contrast to the traditional German curricula, which are mainly procedure-oriented. This study investigates the new licensure legislation in Germany, mandatory for all medical faculties, to see if it allows the development of competency-based curricula.Methods: For the first step we clustered all demands to roles. In step two we transformed the procedure-oriented demands into outcome-oriented competencies, according to the 6 roles found, pursuing strictly the wording of the law.Results: Although the principal goals in the new German licensure law are outcome-oriented, namely three abilities of a certified physician, still the majority of requirements and demands remain procedure-oriented. Clustering resulted in the following six roles: medical expert, health advocate, teamworker, manager, representative of the medical profession and, life-long learner. The relevant competencies for the six roles, we could derive from the standards set by the law.Conclusion: We were able to show that the new German licensure order comprises a useful framework for the development of outcome-oriented, competency-based curricula.

  4. Job requirements compared to medical school education: differences between graduates from problem-based learning and conventional curricula.

    Science.gov (United States)

    Schlett, Christopher L; Doll, Hinnerk; Dahmen, Janosch; Polacsek, Ole; Federkeil, Gero; Fischer, Martin R; Bamberg, Fabian; Butzlaff, Martin

    2010-01-14

    Problem-based Learning (PBL) has been suggested as a key educational method of knowledge acquisition to improve medical education. We sought to evaluate the differences in medical school education between graduates from PBL-based and conventional curricula and to what extent these curricula fit job requirements. Graduates from all German medical schools who graduated between 1996 and 2002 were eligible for this study. Graduates self-assessed nine competencies as required at their day-to-day work and as taught in medical school on a 6-point Likert scale. Results were compared between graduates from a PBL-based curriculum (University Witten/Herdecke) and conventional curricula. Three schools were excluded because of low response rates. Baseline demographics between graduates of the PBL-based curriculum (n = 101, 49% female) and the conventional curricula (n = 4720, 49% female) were similar. No major differences were observed regarding job requirements with priorities for "Independent learning/working" and "Practical medical skills". All competencies were rated to be better taught in PBL-based curriculum compared to the conventional curricula (all p learning/working" (Delta + 0.57), "Psycho-social competence" (Delta + 0.56), "Teamwork" (Delta + 0.39) and "Problem-solving skills" (Delta + 0.36), whereas "Research competence" (Delta--1.23) and "Business competence" (Delta--1.44) in the PBL-based curriculum needed improvement. Among medical graduates in Germany, PBL demonstrated benefits with regard to competencies which were highly required in the job of physicians. Research and business competence deserve closer attention in future curricular development.

  5. 論地方課程發展機制與課程改革On the Developmental Mechanism of Local Curriculum and Curricula Reform

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    陸明玉Ming-Yu Lu

    2011-09-01

    Full Text Available 自1992年地方課程正式提出至今,地方課程經歷了近20年的發展。擁有年輕生命的地方課程難免遭遇荊棘與障礙,本研究立足於課程改革的宏觀背景,在辨析相關概念的基礎上,考察地方課程發展面臨的困境,並力圖從困境中尋找路徑。受國家相關政策、地方教育行政管理,以及學校實施制衡的地方課程,亦受其內源性因素:價值取向的釐定、課程目標的確立、課程內容的選擇、課程的實施及課程的評價等的影響。那麼,合理定位地方課程、統整各內外因素、探索良性的地方課程發展機制,或許是地方課程發展的關鍵路徑。地方課程的發展可說對課程改革具有重要意義。 Since the beginning of it in 1992, local curriculum has developed for almost 20 years. Like every new things, it is unavoidable for local curriculum to meet some difficulties. Based on the macro-background of curricula reform, after defined the conception of related terms, the article tries to find the countermeasures by analyzing the difficulties and problems of the development of local curriculum. Apart from the laws of the nation, regulations of local educational administration and school, the local curriculum will also be affected by its inner factors, such as curriculum value, curriculum aim, curriculum selection, curriculum implementation and curriculum evaluation. So the key approach to explore the developmental mechanism of local curriculum is to establish exact position for the local curriculum by integrating all the factors. In all, development of local curriculum is very important for curriculum reform.

  6. Undergraduate medical student's perceptions on traditional and problem based curricula: pilot study.

    Science.gov (United States)

    Meo, Sultan Ayoub

    2014-07-01

    To evaluate and compare students' perceptions about teaching and learning, knowledge and skills, outcomes of course materials and their satisfaction in traditional Lecture Based learning versus Problem-Based Learning curricula in two different medical schools. The comparative cross-sectional questionnaire-based study was conducted in the Department of Physiology, College of Medicine, King Saud University, Riyadh, Saudi Arabia, from July 2009 to January 2011. Two different undergraduate medical schools were selected; one followed the traditional curriculum, while the other followed the problem-based learning curriculum. Two equal groups of first year medical students were selected. They were taught in respiratory physiology and lung function lab according to their curriculum for a period of two weeks. At the completion of the study period, a five-point Likert scale was used to assess students' perceptions on satisfaction, academic environment, teaching and learning, knowledge and skills and outcomes of course materials about effectiveness of problem-based learning compared to traditional methods. SPSS 19 was used for statistical analysis. Students used to problem-based learning curriculum obtained marginally higher scores in their perceptions (24.10 +/- 3.63) compared to ones following the traditional curriculum (22.67 +/- 3.74). However, the difference in perceptions did not achieve a level of statistical significance. Students following problem-based learning curriculum have more positive perceptions on teaching and learning, knowledge and skills, outcomes of their course materials and satisfaction compared to the students belonging to the traditional style of medical school. However, the difference between the two groups was not statistically significant.

  7. Identifying content for simulation-based curricula in urology: a national needs assessment.

    Science.gov (United States)

    Nayahangan, Leizl Joy; Bølling Hansen, Rikke; Gilboe Lindorff-Larsen, Karen; Paltved, Charlotte; Nielsen, Bjørn Ulrik; Konge, Lars

    2017-12-01

    Simulation-based training is well recognized in the transforming field of urological surgery; however, integration into the curriculum is often unstructured. Development of simulation-based curricula should follow a stepwise approach starting with a needs assessment. This study aimed to identify technical procedures in urology that should be included in a simulation-based curriculum for residency training. A national needs assessment was performed using the Delphi method involving 56 experts with significant roles in the education of urologists. Round 1 identified technical procedures that newly qualified urologists should perform. Round 2 included a survey using an established needs assessment formula to explore: the frequency of procedures; the number of physicians who should be able to perform the procedure; the risk and/or discomfort to patients when a procedure is performed by an inexperienced physician; and the feasibility of simulation training. Round 3 involved elimination and reranking of procedures according to priority. The response rates for the three Delphi rounds were 70%, 55% and 67%, respectively. The 34 procedures identified in Round 1 were reduced to a final prioritized list of 18 technical procedures for simulation-based training. The five procedures that reached the highest prioritization were cystoscopy, transrectal ultrasound-guided biopsy of the prostate, placement of ureteral stent, insertion of urethral and suprapubic catheter, and transurethral resection of the bladder. The prioritized list of technical procedures in urology that were identified as highly suitable for simulation can be used as an aid in the planning and development of simulation-based training programs.

  8. Evidence-based educational pathway for the integration of first aid training in school curricula.

    Science.gov (United States)

    De Buck, Emmy; Van Remoortel, Hans; Dieltjens, Tessa; Verstraeten, Hans; Clarysse, Matthieu; Moens, Olaf; Vandekerckhove, Philippe

    2015-09-01

    "Calling for help, performing first aid and providing Cardiopulmonary Resuscitation (CPR)" is part of the educational goals in secondary schools in Belgium (Flanders). However, for teachers it is not always clear at what age children can be taught which aspects of first aid. In addition, it is not clear what constitutes "performing first aid" and we strongly advocate that the first aid curriculum is broader than CPR training alone. To develop an evidence-based educational pathway to enable the integration of first aid into the school curriculum by defining the goals to be achieved for knowledge, skills and attitudes, for different age groups. Studies were identified through electronic databases research (The Cochrane Library, MEDLINE, Embase). We included studies on first aid education for children and adolescents up to 18 years old. A multidisciplinary expert panel formulated their practice experience and expert opinion and discussed the available evidence. We identified 5822 references and finally retained 30 studies (13 experimental and 17 observational studies), including studies concerning emergency call (7 studies), cardiopulmonary resuscitation (18 studies), AED (Automated External Defibrillator) use (6 studies), recovery position (5 studies), choking (2 studies), injuries (5 studies), and poisoning (2 studies). Recommendations (educational goals) were derived after carefully discussing the currently available evidence in the literature and balancing the skills and attitudes of children of different ages. An evidence-based educational pathway with educational goals concerning learning first aid for each age group was developed. This educational pathway can be used for the integration of first aid training in school curricula. Copyright © 2015 The Authors. Published by Elsevier Ireland Ltd.. All rights reserved.

  9. Premises for Structuring Ethnic Curricula.

    Science.gov (United States)

    Rice, M. J.

    The primary purpose of the Georgia Anthropology Curriculum Project is to present the organizing concepts of anthropology in curricula suitable for use in elementary and intermediate grades. The philosophic premise of the Project is that a conceptually structured curricula is the most effective means of helping students to acquire a base of…

  10. Medical School Librarians Need More Training to Support their Involvement in Evidence Based Medicine Curricula

    Directory of Open Access Journals (Sweden)

    Aislinn Conway

    2016-04-01

    Full Text Available Objective – To describe the self-perceived role of librarians in developing evidence based medicine (EBM curricula and identify their current and desired level of training to support these activities. Design – Multi-institutional qualitative study. Setting – Nine medical schools in Canada and the United States of America. Subjects – Nine librarians identified by medical school faculty as central to the provision of EBM training for medical students at their institution. Methods – The researchers designed a semi-structured interview schedule based on a review of the literature and their own experiences as librarians teaching EBM. The topics covered were; librarians’ perceptions of their roles in relation to the curriculum, the training required to enable them to undertake these roles, and their professional development needs. The interviews were conducted by telephone and then audio-recorded and transcribed verbatim. The authors present five main themes; curricular design, curricular deployment, curricular assessment, educational training, and professional development. Profiles were developed for each participant based on the latter two themes and from this information common characteristics were identified. Main Results – The participants described the importance of collaboration with faculty and student bodies when designing a curriculum. Information literacy instruction and specifically literature searching and forming a research question were taught by all of the participants to facilitate curricular deployment. Some of the librarians were involved or partly involved in curricular assessment activities such as formulating exam questions or providing feedback on assignments. Educational training of participants varied from informal observation to formal workshops offered by higher education institutions. All librarians indicated a willingness to partake in professional development focused on teaching and EBM. The subjects

  11. A Comparison of Web-based and Small-Group Palliative and End-of-Life Care Curricula: A Quasi-Randomized Controlled Study at One Institution

    Science.gov (United States)

    Day, Frank C.; Srinivasan, Malathi; Der-Martirosian, Claudia; Griffin, Erin; Hoffman, Jerome R.; Wilkes, Michael S.

    2014-01-01

    Purpose Few studies have compared the effect of web-based eLearning versus small-group learning on medical student outcomes. Palliative and end-of-life (PEOL) education is ideal for this comparison, given uneven access to PEOL experts and content nationally. Method In 2010, the authors enrolled all third-year medical students at the University of California, Davis School of Medicine into a quasi-randomized controlled trial of web-based interactive education (eDoctoring) compared to small-group education (Doctoring) on PEOL clinical content over two months. All students participated in three 3-hour PEOL sessions with similar content. Outcomes included a 24-item PEOL-specific self-efficacy scale with three domains (diagnosis/treatment [Cronbach’s alpha = 0.92, CI: 0.91–0.93], communication/prognosis [alpha = 0.95; CI: 0.93–0.96], and social impact/self-care [alpha = 0.91; CI: 0.88–0.92]); eight knowledge items; ten curricular advantage/disadvantages, and curricular satisfaction (both students and faculty). Results Students were randomly assigned to web-based eDoctoring (n = 48) or small-group Doctoring (n = 71) curricula. Self-efficacy and knowledge improved equivalently between groups: e.g., prognosis self-efficacy, 19%; knowledge, 10–42%. Student and faculty ratings of the web-based eDoctoring curriculum and the small group Doctoring curriculum were equivalent for most goals, and overall satisfaction was equivalent for each, with a trend towards decreased eDoctoring student satisfaction. Conclusions Findings showed equivalent gains in self-efficacy and knowledge between students participating in a web-based PEOL curriculum, in comparison to students learning similar content in a small-group format. Web-based curricula can standardize content presentation when local teaching expertise is limited, but may lead to decreased user satisfaction. PMID:25539518

  12. Teaching Evidence-Based Practice across Curricula-An Overview of a Professional Development Course for Occupational Therapy Educators.

    Science.gov (United States)

    Daly, Marta M; DeAngelis, Tina M

    2017-01-01

    A professional development course for occupational therapy educators about teaching evidence-based practice (EBP) was developed and piloted. The course was developed to promote increased awareness of resources and methods for teaching EBP that are applicable across entry-level curricula. Participants included full-time faculty (n = 7) from one entry-level occupational therapy program in the New York City area. The results of the pilot informed refinement of the course in preparation for delivery to a wider audience of educators. This paper provides a description of the course, results of the pilot, and implications for future delivery of the course.

  13. A Comparison of Students' Perceptions of Stress in Parallel Problem-Based and Lecture-Based Curricula.

    Science.gov (United States)

    Wardley, C Sonia; Applegate, E Brooks; Almaleki, A Deyab; Van Rhee, James A

    2016-03-01

    A 6-year longitudinal study was conducted to compare the perceived stress experienced during a 2-year master's physician assistant program by 5 cohorts of students enrolled in either problem-based learning (PBL) or lecture-based learning (LBL) curricular tracks. The association of perceived stress with academic achievement was also assessed. Students rated their stress levels on visual analog scales in relation to family obligations, financial concerns, schoolwork, and relocation and overall on 6 occasions throughout the program. A mixed model analysis of variance examined the students' perceived level of stress by curriculum and over time. Regression analysis further examined school work-related stress after controlling for other stressors and possible lag effect of stress from the previous time point. Students reported that overall stress increased throughout the didactic year followed by a decline in the clinical year with statistically significant curricular (PBL versus LBL) and time differences. PBL students also reported significantly more stress resulting from school work than LBL students at some time points. Moreover, when the other measured stressors and possible lag effects were controlled, significant differences between PBL and LBL students' perceived stress related to school work persisted at the 8- and 12-month measurement points. Increased stress in both curricula was associated with higher achievement in overall and individual organ system examination scores. Physician assistant programs that embrace a PBL pedagogy to prepare students to think clinically may need to provide students with additional support through the didactic curriculum.

  14. International cooperation in veterinary public health curricula using web-based distance interactive education.

    Science.gov (United States)

    Lipman, Len J; Barnier, Valérie M; de Balogh, Katalin K

    2003-01-01

    The expanding field of Veterinary Public Health places new demands on the knowledge and skills of veterinarians. Veterinary curricula must therefore adapt to this new profile. Through the introduction of case studies dealing with up-to-date issues, students are being trained to solve (real-life) problems and come up with realistic solutions. At the Department of Public Health and Food Safety of the Veterinary Faculty at the University of Utrecht in the Netherlands, positive experiences have resulted from the new opportunities offered by the use of information and communication technology (ICT) in education. The possibility of creating a virtual classroom on the Internet through the use of WebCT software has enabled teachers and students to tackle emerging issues by working together with students in other countries and across disciplines. This article presents some of these experiences, through which international exchange of ideas and realities were stimulated, in addition to consolidating relations between universities in different countries. Long-distance education methodologies provide an important tool to achieve the increasing need for international cooperation in Veterinary Public Health curricula.

  15. Preparing educators for problem-based and community-based curricula: a student's experiences.

    Science.gov (United States)

    Dana, N

    1997-03-01

    The Department of Nursing at the University of Natal Durban (UND) introduced a one year Masters Degree in Progressive Education for Health Professionals in 1996, the aim of which is to prepare educators of health professionals to understand better innovative methods of teaching, learning and more specifically problem-based learning (PBL) and community-based education (CBE). The author of this paper is a registered nurse and this paper focuses on her experiences as a student in this programme. Most of the experiences gained are related to the use of a Personal and Academic Development Portfolio, which covered activities from both her own classes and those related to facilitation of basic student's learning.

  16. Developing merged CDIO based curricula for diploma (B.Eng.) IT study programs at DTU

    DEFF Research Database (Denmark)

    Nyborg, Mads; Probst, Christian W.; Stassen, Flemming

    2015-01-01

    innovation strategy. In this paper we describe the process of developing new, merged B.Eng curricula in the IT field (Diploma IT), as part of the merger between DTU Lyngby and IHK. Particular attention will be given to the following subjects: • The design process used to develop the new merged study programs......) merged with the Technical University of Denmark (DTU Lyngby). The goal of the merger was to educate ever more innovative diploma engineers to fulfill the needs by Danish industry through combining a practice-oriented development environment and a research-oriented environment. Merging a university...... institutions represented before the merger well 3500 B.Eng. students. The goal of the merger was to combine the best of the existing educations rooted in a practice-oriented development environment and a research-oriented environment. At the same time, the merger was supposed to contribute to the national...

  17. A set of vertically integrated inquiry-based practical curricula that develop scientific thinking skills for large cohorts of undergraduate students.

    Science.gov (United States)

    Zimbardi, Kirsten; Bugarcic, Andrea; Colthorpe, Kay; Good, Jonathan P; Lluka, Lesley J

    2013-12-01

    Science graduates require critical thinking skills to deal with the complex problems they will face in their 21st century workplaces. Inquiry-based curricula can provide students with the opportunities to develop such critical thinking skills; however, evidence suggests that an inappropriate level of autonomy provided to underprepared students may not only be daunting to students but also detrimental to their learning. After a major review of the Bachelor of Science, we developed, implemented, and evaluated a series of three vertically integrated courses with inquiry-style laboratory practicals for early-stage undergraduate students in biomedical science. These practical curricula were designed so that students would work with increasing autonomy and ownership of their research projects to develop increasingly advanced scientific thinking and communication skills. Students undertaking the first iteration of these three vertically integrated courses reported learning gains in course content as well as skills in scientific writing, hypothesis construction, experimental design, data analysis, and interpreting results. Students also demonstrated increasing skills in both hypothesis formulation and communication of findings as a result of participating in the inquiry-based curricula and completing the associated practical assessment tasks. Here, we report the specific aspects of the curricula that students reported as having the greatest impact on their learning and the particular elements of hypothesis formulation and communication of findings that were more challenging for students to master. These findings provide important implications for science educators concerned with designing curricula to promote scientific thinking and communication skills alongside content acquisition.

  18. Critical analysis of the Romanian Mathematics and Sciences school curricula based on the Romanian pupils’ results on international testing

    Directory of Open Access Journals (Sweden)

    LILIANA CIASCAI

    2009-01-01

    Full Text Available Romania occupied a back position in the international tests on Mathematics and Sciences. Teachers stress out that one possible cause of this situation could be finding on the Mathematics and Sciences curricula. This paper presents the results of the comparisons of the Romanian curricula with the curricula promoted by the international testing (PISA 2000, 2003 and 2006, and TIMSS 1995, 1999, 2003, 2007 and the curricula of the countries occupied the first places in these tests. The comparisons underline those curricula approaches, which insure success on these tests and realize the reasons of the lack of success of the Romanian pupils. These results will be presented to the curriculum makers, universities and schools, to identify the specific and transferable competencies of the pupils with success in the above-mentioned disciplines.

  19. Combination Welding Technical Terms. English-Thai Lexicon. Introduction to Combination Welding. Thai Version. Multi-Cultural Competency-Based Vocational/Technical Curricula Series.

    Science.gov (United States)

    Shin, Masako T.

    This English-Thai lexicon and program introduction for combination welding is one of eight documents in the Multicultural Competency-Based Vocational/Technical Curricula Series. It is intended for use in postsecondary, adult, and preservice teacher and administrator education. The first two sections provide Thai equivalencies of English…

  20. The Effects of No Child Left Behind on the Prevalence of Evidence-Based Drug Prevention Curricula in the Nation's Middle Schools

    Science.gov (United States)

    Ringwalt, Chris; Hanley, Sean; Ennett, Susan T.; Vincus, Amy A.; Bowling, J. Michael; Haws, Susan W.; Rohrbach, Louise A.

    2011-01-01

    Background: Concerns have been expressed that No Child Left Behind (NCLB) may be reducing the amount of classroom time devoted to subjects other than those for which students are tested. The purpose of this article is to explore whether NCLB legislation has affected the provision of evidence-based drug prevention curricula (EBC) in the nation's…

  1. Automotive Mechanics Technical Terms. English-Thai Lexicon. Introduction to Automotive Mechanics. Thai Version. Multi-Cultural Competency-Based Vocational/Technical Curricula Series.

    Science.gov (United States)

    Shin, Masako T.

    This English-Thai lexicon and program introduction for automotive mechanics is one of eight documents in the Multicultural Competency-Based Vocational/Technical Curricula Series. It is intended for use in postsecondary, adult, and preservice teacher and administrator education. The first two sections provide Thai equivalencies of English…

  2. Environmental consciousness and education relationship: Determination of how environment-based concepts are placed in Turkish science curricula

    Energy Technology Data Exchange (ETDEWEB)

    Oezmen, H. [Karadeniz Technical Univ., Trabzon (Turkey). Dept. of Primary Education; Karamustafaoglu, O. [Amasya Univ. (Turkey). Dept. of Primary Education

    2006-12-15

    generations. During the last decades the trend for environmental protection has expanded in various areas including education. Paraskevopoulos et.al. (1998) state that (a) if people are aware of the need for and the ways of protecting the environment they will act to preserve it, (b) schools should assume responsibility for educating about environmental protection and (c) environmental education can be effective as a part of a school curriculum. Increased concern about the environment has paralleled the development of environmental education in the world. With this regard, both developed and developing countries have taken this reality into consideration in designing curricula for all schools. Some arrangements have also been made in science education curricula in Turkey as a developing country in last decades. Of the various subjects taught in secondary schools, science is often perceived as one that can make a significant contribution to environmental education (Ko and Lee, 2003). Therefore, our primarily aim in this study is to determine how the Turkish science curricula contain environmental concepts after some of the attempts on environmental issues in the world were presented. There have been steady developments of national and international declarations relevant to environmental issues. The first attempt in this regard was the Stockholm Declaration recognized the interdependency between humanity and the environment. The most important results emerged from the declaration were to provide fundamental right to freedom, equality and adequate conditions of life in an environment and to improve the environment for present and future generations (UNESCO, 1972). In addition, this declaration stated the need of environmental education from grade school to adulthood. After this first attempt, a number of similar assemblies were made. In these meetings, some decisions were taken for environmental issues in local and global scale. These meetings are given in Table 1

  3. Secondary School Curricula Issues: Impact on Postsecondary Students with Disabilities.

    Science.gov (United States)

    Stodden, Robert A.; Galloway, L. M.; Stodden, Norma Jean

    2003-01-01

    This article examines the complex needs of students with disabilities in learning rigorous standards-based curricula, the need of educators to teach this population standards-based curricula effectively, and the contextual factors that affect teaching and learning standards-based curricula in secondary schools. Exemplary and promising practices…

  4. Flexibility in individualized, competency-based workplace curricula with EPAs: Analyzing four cohorts of physician assistants in training.

    Science.gov (United States)

    Wiersma, Fraukje; Berkvens, Josephine; Ten Cate, Olle

    2017-05-01

    Entrustable professional activities (EPAs) were introduced as a principle for individualized physician assistant (PA) workplace curricula at the University of Applied Sciences (UAS) Utrecht in 2008. We studied how the focus on EPAs served the competency-based flexibility intention of the program. We analyzed data of those 119 students who enrolled in the program 2010 through 2013, and completed the program before April 2016. We analyzed the number of EPAs per student at start and end of the program, number changed during training and the reasons for change. Data of 101 students were suitable for evaluation. Excluded were 16 students ending the program prematurely and two with study delay. Mean number of EPAs per student at the start was 6.8 (range 4-12) and at the end 6.6 (range 3-13). On average 1.5 EPAs were altered (range 0-13). Reasons included extension of the EPA package during training (n = 10), lack of proficiency at planned moments of summative entrustment decisions (n = 9) and procedures not being suitable for PAs at closer look (n = 6). All changes resulted in a curriculum meeting the school's standards for graduation. The flexibility of the EPA concept enabled changes in the individualized curriculum of students, according to the intended competency-based nature of the educational program.

  5. Curricula for sustainability in higher education

    CERN Document Server

    2017-01-01

    This books presents the curricula necessary for sustainability in higher education. It shows how the learning process is transforming in order to promote sustainability. It prepares administrators, teachers and students to diffuse the development in the field, showing a curricula based on three interconnected pillars: the environment, the economic and the social aspects. It contains 8 chapters introducing research advances in the field.

  6. Information Systems Curricula: A Fifty Year Journey

    Science.gov (United States)

    Longenecker, Herbert E., Jr.; Feinstein, David; Clark, Jon D.

    2013-01-01

    This article presents the results of research to explore the nature of changes in skills over a fifty year period spanning the life of Information Systems model curricula. Work begun in 1999 was expanded both backwards in time, as well as forwards to 2012 to define skills relevant to Information Systems curricula. The work in 1999 was based on job…

  7. A Thematic Review of Studies into the Effectiveness of Context-Based Chemistry Curricula

    Science.gov (United States)

    Ültay, Neslihan; Çalık, Muammer

    2012-12-01

    Context-based chemistry education aims at making connections between real life and the scientific content of chemistry courses. The purpose of this study was to evaluate context-based chemistry studies. In looking for the context-based chemistry studies, the authors entered the keywords `context-based', `contextual learning' and `chemistry education' in well-known databases (i.e. Academic Search Complete, Education Research Complete, ERIC, Springer LINK Contemporary). Further, in case the computer search by key words may have missed a rather substantial part of the important literature in the area, the authors also conducted a hand search of the related journals. To present a detailed thematic review of context-based chemistry studies, a matrix was used to summarize the findings by focusing on insights derived from the related studies. The matrix incorporates the following themes: needs, aims, methodologies, general knowledge claims, and implications for teaching and learning, implications for curriculum development and suggestions for future research. The general knowledge claims investigated in this paper were: (a) positive effects of the context-based chemistry studies; (b) caveats, both are examined in terms of students' attitudes and students' understanding/cognition. Implications were investigated for practice in context- based chemistry studies, for future research in context- based chemistry studies, and for curriculum developers in context- based chemistry studies. Teachers of context-based courses claimed that the application of the context-based learning approach in chemistry education improved students' motivation and interest in the subject. This seems to have generated an increase in the number of the students who wish to continue chemistry education at higher levels. However, despite the fact that the majority of the studies have reported advantages of context-based chemistry studies, some of them have also referred to pitfalls, i.e. dominant

  8. Welding. COM-LINK. Competency Based Vocational Curricula with Basic Skills and Academic Linkages.

    Science.gov (United States)

    Browning, Terry

    This competency-based module uses the Ocean County (New Jersey) Vocational-Technical Schools curriculum-infused model for infusing basic skills instruction into vocational education. The model demonstrates the relationship of vocational skills to communication, mathematics, and science. The document begins with a philosophy statement; preface; a…

  9. Incorporating Course-Based Undergraduate Research Experiences into Analytical Chemistry Laboratory Curricula

    Science.gov (United States)

    Kerr, Melissa A.; Yan, Fei

    2016-01-01

    A continuous effort within an undergraduate university setting is to improve students' learning outcomes and thus improve students' attitudes about a particular field of study. This is undoubtedly relevant within a chemistry laboratory. This paper reports the results of an effort to introduce a problem-based learning strategy into the analytical…

  10. Evaluating learning among undergraduate medical students in schools with traditional and problem-based curricula.

    Science.gov (United States)

    Meo, Sultan Ayoub

    2013-09-01

    This study aimed to assess knowledge and skills in a respiratory physiology course in traditional versus problem-based learning (PBL) groups in two different medical schools. Two different undergraduate medical schools were selected for this study. The first medical school followed the traditional [lecture-based learning (LBL)] curriculum, and the second medical school followed the PBL curriculum. Sixty first-year male medical students (30 students from each medical school) volunteered; they were apparently healthy and of the same age, sex, nationality, and regional and cultural background. Students were taught respiratory physiology according to their curriculum for a period of 2 wk. At the completion of the study period, knowledge was measured based on a single best multiple-choice question examination, and skill was measured based on the objective structured practical examination in the lung function laboratory (respiratory physiology). A Student's t-test was applied for the analysis of the data, and the level of significance was set at P schools.

  11. Entrepreneur Program. COM-LINK. Competency Based Vocational Curricula with Basic Skills and Academic Linkages.

    Science.gov (United States)

    De Maria, Richard

    This competency-based module uses the Ocean County (New Jersey) Vocational-Technical Schools curriculum-infused model for infusing basic skills instruction into vocational education. The document consists of matrices that describe the relationship of vocational skills to basic communication, mathematics, and science skills within the entrepreneur…

  12. Adapting research-based curricula at Seattle Pacific University: Results on student learning

    Science.gov (United States)

    Close, Eleanor; Vokos, Stamatis; Lindberg, John; Seeley, Lane

    2004-05-01

    Seattle Pacific University is the recent recipient of a NSF CCLI grant to improve student learning in introductory physics and calculus courses. This talk will outline the goals of this collaborative project and present some initial results on student performance. Results from research-based assessments will be presented as well as specific examples of successes and challenges from mechanics and electricity and magnetism.

  13. Fashion Merchandising. COM-LINK. Competency Based Vocational Curricula with Basic Skills and Academic Linkages.

    Science.gov (United States)

    Williams, Edwina

    This competency-based module uses the Ocean County (New Jersey) Vocational-Technical Schools curriculum-infused model for infusing basic skills instruction into vocational education. The model demonstrates the relationship of vocational skills to communication, mathematics, and science. The document begins with a philosophy statement; preface; a…

  14. College and University Curricula in Ecotourism and Nature-Based Tourism.

    Science.gov (United States)

    Robertson, Robert A.; And Others

    1996-01-01

    Provides the results of a study designed to inventory and collect descriptive information about ecotourism and those institutions that offer such courses in the United States. Twenty-one programs that currently offer at least one ecotourism or nature-based tourism course are identified. (DDR)

  15. Frontline over ivory tower: key competencies in community-based curricula

    Directory of Open Access Journals (Sweden)

    Adam Millar

    2015-04-01

    Full Text Available Background: The Royal College of Physicians and Surgeons of Canada mandates that community experiences be incorporated into medicine-based specialties.  Presently there is wide variability in community endocrine experiences across Canadian training programs.  This is complicated by the paucity of literature providing guidance on what constitutes a ‘community’ rotation. Method: A modified Delphi technique was used to determine the CanMEDS competencies best taught in a community endocrinology curriculum. The Delphi technique is a qualitative-research method that uses a series of questionnaires sent to a group of experts with controlled feedback provided by the researchers after each survey round.  The experts in this study included endocrinology program directors, community endocrinologists, endocrinology residents and recent endocrinology graduates. Results: Thirty four out of 44 competencies rated by the panel were deemed suitable for a community curriculum.  The experts considered the “Manager” role best taught in the community, while they considered the community least suitable to learn the “Medical Expert” competency. Conclusions: To our knowledge, this is the first time the content of a community-based subspecialty curriculum was determined using the Delphi process in Canada.  These findings suggest that community settings have potential to fill in gaps in residency training in regards to the CanMEDS Manager role.  The results will aid program directors in designing competency-based community endocrinology rotations and competency-based community rotations in other medical subspecialty programs.

  16. A course director's perspectives on problem-based learning curricula in biochemistry.

    Science.gov (United States)

    Smith, Harold C

    2002-12-01

    Knowledge of the applications of biochemistry, molecular biology, and genetics in the practice of medicine has been and continues to be a vital part of medical students' and continuing education. The technical background and the rapid expansion of information and new applications have made it an arduous task to learn and teach this material within the already crowded medical school curriculum. Problem-based learning (PBL) formats are rapidly being adopted at all levels of education as not only a major paradigm shift in education but also a solution for the instruction of biochemistry in medical school. Designing an effective biochemistry curriculum with PBL-based or lecture-based formats requires an appreciation for their strengths and weakness. The author's experiences in the Double Helix Curriculum at the University of Rochester School of Medicine and Dentistry (which employs PBL cases and complementing lectures) has shown that students are excited about learning in the PBL environment and explore in depth ways of integrating biochemistry, cell biology, genetics, and molecular biology into the practice of medicine. At the same time, complementary lectures greatly enhance uniformity in the quality and, importantly, the accuracy of the students' learning.

  17. Values in the Curricula of Religious Education and Social Studies in Primary Schools in the Context of Local-Universal Dilemma

    Science.gov (United States)

    Kaymakcan, Recep; Meydan, Hasan

    2012-01-01

    This study aims to identify the approach of teaching curricula of primary courses of religious education and social studies values and to determine the weight of values found in these programs with regard to various aspects such as being open to novelty-conservatism, individualism-being social, nationalism-universalism, self-expansion-self…

  18. [Evidence-based practice in nursing curricula: the experience of nursing degree course of Reggio Emilia. A pilot study].

    Science.gov (United States)

    Finotto, Stefano; Chiesi, Ivens; Mecugni, Daniela; Casali, Patrizia; Doro, Lucia Maria Grazia; Lusetti, Simona

    2010-01-01

    Given the lack of evidence in literature concerning the presence of Evidence-Based Practice (EBP) in nursing curricula, but considering its importance in order to educate future nurses to use critical thinking and to base their practice on scientific evidence, tutors and nursing teachers of the Nursing Degree Course of Reggio Emilia (Università degli Studi di Modena e Reggio Emilia), have decided to introduce a three-year laboratory of EBP. The purposes of this project are: to describe the three-year EBP laboratory of Nursing Degree, its objectives, its structure, its integration with practical training and nursing subjects and its students evaluation strategies; to get students verify the perception of the usefulness of the three-year EBP laboratory regarding the elaboration of the graduation thesis, the search for appropriatem answers for patients met during clinical trainings and the usefulness of the EBP process in view of the development of their professional career. The design of research of this pilot study is correlation-descriptive. It has been selected a sample of convenience consisting of 56 nurses graduated in the autumn session of the academic year 2007-2008. For data collection we have used an electronic questionnaire (Microsoft Word with closed fields) structured for the purpose. The laboratory has been effective in learning to use the database to search for evidences and to use the database to search for evidences related to nursing problems met in training placements. Finally, graduated nurses consider the EBP process an essential element of professional nursing luggage. Although the sample is restricted the results indicates the good educational choice made by our Nursing Degree Course of integrating the EBP Laboratory in the curriculum.

  19. University Curricula in Nanoelectronics

    DEFF Research Database (Denmark)

    Bruun, Erik; Nielsen, Ivan Ring

    2009-01-01

    -electronic devices (such as bio-devices or chemical devices), and possibilities for developing fundamentally new nanoscale electronic devices. New engineering curricula in nanoelectronics must take these developments into account. A model for the development of new curricula is presented and some representative...

  20. Undergraduate Leadership Students' Self-Perceived Level of Moral Imagination: An Innovative Foundation for Morality-Based Leadership Curricula

    Science.gov (United States)

    Odom, Summer F.; Andenoro, Anthony C.; Sandlin, M'Randa R.; Jones, Jaron L.

    2015-01-01

    Leadership educators are faced with the challenge of preparing students to serve organizations and people in dynamic and ever changing contexts. The purpose of this study was to examine undergraduate leadership students' self-perceived level of moral imagination to make recommendations for moral imagination curricula. Moral imagination is the…

  1. Curriculation and Competence Based Education Training (CBET in Tanzania: A Critical Assessment of Public Administration and Management (PAM Curricula at Tanzania Public Service College (TPSC

    Directory of Open Access Journals (Sweden)

    Ramadhani Marijani

    2017-08-01

    Full Text Available The article directs the discourse in Public Administration and Management (PAM curricula at Tanzania Public Service College. The motive for this attempt is based on the fact that Public Administration (PA is itself recognized as a profession whose teaching aims at producing competent professionals and therefore needs constant review to conform to the current work complexities. Five big questions and content analysis are used as the basis for directing the discourse. The findings indicate that curriculation for PAM is complex and dynamic. Moreover, the findings indicate that the two curricula are more vocational than educational as there is little weight allocated for occupational course modules (36 out of 360 in PA and (126 out of 360 in HRM. This may pose the danger of “pourtpouri” problem in curriculum design. The article proposes rethinking interventions on curriculation for PAM at TPSC to benefit from Public Administration discipline.

  2. The updated ESTRO core curricula 2011 for clinicians, medical physicists and RTTs in radiotherapy/radiation oncology

    International Nuclear Information System (INIS)

    Eriksen, Jesper G.; Beavis, Andrew W.; Coffey, Mary A.; Leer, Jan Willem H.; Magrini, Stefano M.; Benstead, Kim; Boelling, Tobias; Hjälm-Eriksson, Marie; Kantor, Guy; Maciejewski, Boguslaw; Mezeckis, Maris; Oliveira, Angelo; Thirion, Pierre; Vitek, Pavel

    2012-01-01

    Introduction: In 2007 ESTRO proposed a revision and harmonisation of the core curricula for radiation oncologists, medical physicists and RTTs to encourage harmonised education programmes for the professional disciplines, to facilitate mobility between EU member states, to reflect the rapid development of the professions and to secure the best evidence-based education across Europe. Material and methods: Working parties for each core curriculum were established and included a broad representation with geographic spread and different experience with education from the ESTRO Educational Committee, local representatives appointed by the National Societies and support from ESTRO staff. Results: The revised curricula have been presented for the ESTRO community and endorsement is ongoing. All three curricula have been changed to competency based education and training, teaching methodology and assessment and include the recent introduction of the new dose planning and delivery techniques and the integration of drugs and radiation. The curricula can be downloaded at (http://www.estro-education.org/europeantraining/Pages/EuropeanCurricula.aspx). Conclusion: The main objective of the ESTRO core curricula is to update and harmonise training of the radiation oncologists, medical physicists and RTTs in Europe. It is recommended that the authorities in charge of the respective training programmes throughout Europe harmonise their own curricula according to the common framework.

  3. Moving towards Freirean Critical Pedagogy: Redefining Competence-based Curricula through Participatory Action Research as Resistance to the Neoliberalization of Higher Education in Spain

    Directory of Open Access Journals (Sweden)

    Ana Fernández-Aballí Altamirano

    2015-07-01

    Full Text Available The neoliberalization of higher education in Spain has been consolidating through its integration process to the European Higher Education Area. In this context, competence-based curricula have become an instrument to create a model of education and citizenship in which market values override solidarity, justice and community well-being. There is, however, still room to shift the teaching-learning space. Using Freirean critical pedagogy to redefine the curriculum through the implementation of Participatory Action Research (PAR in the classroom provides a methodological approach within and despite current EHEA policies to revert the neoliberalization of higher education.

  4. Digital Curricula Evolving

    Science.gov (United States)

    Education Week, 2013

    2013-01-01

    This special report is the latest installment in an ongoing series about how online education is changing teaching and learning and the development of curricula. It was produced with support from the Bill & Melinda Gates Foundation and the Carnegie Corporation of New York. This paper contains the following articles: (1) Changing the Role of K-12…

  5. Mathematical programming solver based on local search

    CERN Document Server

    Gardi, Frédéric; Darlay, Julien; Estellon, Bertrand; Megel, Romain

    2014-01-01

    This book covers local search for combinatorial optimization and its extension to mixed-variable optimization. Although not yet understood from the theoretical point of view, local search is the paradigm of choice for tackling large-scale real-life optimization problems. Today's end-users demand interactivity with decision support systems. For optimization software, this means obtaining good-quality solutions quickly. Fast iterative improvement methods, like local search, are suited to satisfying such needs. Here the authors show local search in a new light, in particular presenting a new kind of mathematical programming solver, namely LocalSolver, based on neighborhood search. First, an iconoclast methodology is presented to design and engineer local search algorithms. The authors' concern about industrializing local search approaches is of particular interest for practitioners. This methodology is applied to solve two industrial problems with high economic stakes. Software based on local search induces ex...

  6. Economic Learning Media Development Based on Local Locality

    Science.gov (United States)

    Hadi, Rizali; Supriyanto; Hasanah, Mahmudah

    2017-01-01

    This study aims to describe the learning medium of economic education at senior High School in Banjarmasin with media based on local wisdom. This research uses qualitative method as developed by Miles & Huberman, starting from data collection, data reduction data display, and then made conclusion. Data were collected in the order of Basic…

  7. History of nuclear engineering curricula

    International Nuclear Information System (INIS)

    Murphy, G.

    1975-01-01

    With the realization that nuclear energy had a vast potential for peacetime development, universities throughout the country began to develop courses in nuclear energy. A pioneering educational effort was necessary because there was an inadequate number of trained faculty, no established curricula, no textbooks, and very little suitable equipment. Nevertheless, by the early 1950's, several programs in nuclear science and engineering were beginning to provide instruction to potential nuclear engineers. At that time, the American Society for Engineering Education (ASEE) established a nuclear committee to cooperate with the U. S. Atomic Energy Commission (AEC) in nuclear education matters. With the financial support of the AEC, textbook material was developed, faculty training programs were instituted, and funds were made available for equipment. Because of the large interest shown in the field, many colleges and universities began to develop nuclear engineering curricula. After a few years, the need arose for general guidelines in curricular development. This led to the development of a Committee on Objective Criteria in Nuclear Engineering Education in which ASEE and the American Nuclear Society cooperated with the support of AEC. The committee report emphasized basic science, nuclear energy concepts, and nuclear technology, which have continued to be the significant components of a nuclear engineering curriculum. The last ten years have brought increased emphasis on BS programs, the introduction of extensive computer-based instruction, and an increasing emphasis on the engineering aspects of nuclear reactor power systems

  8. Introducing Cloud Computing Topics in Curricula

    Science.gov (United States)

    Chen, Ling; Liu, Yang; Gallagher, Marcus; Pailthorpe, Bernard; Sadiq, Shazia; Shen, Heng Tao; Li, Xue

    2012-01-01

    The demand for graduates with exposure in Cloud Computing is on the rise. For many educational institutions, the challenge is to decide on how to incorporate appropriate cloud-based technologies into their curricula. In this paper, we describe our design and experiences of integrating Cloud Computing components into seven third/fourth-year…

  9. Examining the importance of incorporating emergency preparedness and disaster training core competencies into allied health curricula.

    Science.gov (United States)

    Curtis, Tammy

    2015-01-01

    Preparation for responding to emergency events that does not warrant outside help beyond the local community resources or responding to disaster events that is beyond the capabilities of the local community both require first responders and healthcare professionals to have interdisciplinary skills needed to function as a team for saving lives. To date, there is no core emergency preparedness and disaster planning competencies that have been standardized at all levels across the various allied health curricula disciplines. To identify if emergency preparedness and disaster training content are currently being taught in allied health program courses, to identify possible gaps within allied health curricula, and to explore the perceptions of allied health college educators for implementing emergency preparedness and disaster training core competencies into their existing curricula, if not already included. A quantitative Internet-based survey was conducted in 2013. Convenient sample. Fifty-one allied health college educators completed the survey. Descriptive statistics indicated that the majority of allied health college instructors do not currently teach emergency preparedness and disaster training core competency content within their current allied health discipline; however, their perceived level of importance for inclusion of the competencies was high. The results of this study supported the need for developing and establishing a basic national set of standardized core emergency preparedness and disaster planning competencies at all levels across various allied health curricula disciplines to ensure victims receive the best patient care and have the best possible chance of survival.

  10. Coevolution Based Adaptive Monte Carlo Localization (CEAMCL

    Directory of Open Access Journals (Sweden)

    Luo Ronghua

    2008-11-01

    Full Text Available An adaptive Monte Carlo localization algorithm based on coevolution mechanism of ecological species is proposed. Samples are clustered into species, each of which represents a hypothesis of the robot's pose. Since the coevolution between the species ensures that the multiple distinct hypotheses can be tracked stably, the problem of premature convergence when using MCL in highly symmetric environments can be solved. And the sample size can be adjusted adaptively over time according to the uncertainty of the robot's pose by using the population growth model. In addition, by using the crossover and mutation operators in evolutionary computation, intra-species evolution can drive the samples move towards the regions where the desired posterior density is large. So a small size of samples can represent the desired density well enough to make precise localization. The new algorithm is termed coevolution based adaptive Monte Carlo localization (CEAMCL. Experiments have been carried out to prove the efficiency of the new localization algorithm.

  11. Landmark based localization in urban environment

    Science.gov (United States)

    Qu, Xiaozhi; Soheilian, Bahman; Paparoditis, Nicolas

    2018-06-01

    A landmark based localization with uncertainty analysis based on cameras and geo-referenced landmarks is presented in this paper. The system is developed to adapt different camera configurations for six degree-of-freedom pose estimation. Local bundle adjustment is applied for optimization and the geo-referenced landmarks are integrated to reduce the drift. In particular, the uncertainty analysis is taken into account. On the one hand, we estimate the uncertainties of poses to predict the precision of localization. On the other hand, uncertainty propagation is considered for matching, tracking and landmark registering. The proposed method is evaluated on both KITTI benchmark and the data acquired by a mobile mapping system. In our experiments, decimeter level accuracy can be reached.

  12. Strategy community development based on local resources

    Science.gov (United States)

    Meirinawati; Prabawati, I.; Pradana, G. W.

    2018-01-01

    The problem of progressing regions is not far from economic problems and is often caused by the inability of the regions in response to changes in economic conditions that occur, so the need for community development programs implemented to solve various problems. Improved community effort required with the real conditions and needs of each region. Community development based on local resources process is very important, because it is an increase in human resource capability in the optimal utilization of local resource potential. In this case a strategy is needed in community development based on local resources. The community development strategy are as follows:(1) “Eight Line Equalization Plus” which explains the urgency of rural industrialization, (2) the construction of the village will be more successful when combining strategies are tailored to regional conditions, (3) the escort are positioning themselves as the Planner, supervisor, information giver, motivator, facilitator, connecting at once evaluators.

  13. From the Analysis of Work-Processes to Designing Competence-Based Occupational Standards and Vocational Curricula

    Science.gov (United States)

    Tutlys, Vidmantas; Spöttl, Georg

    2017-01-01

    Purpose: This paper aims to explore methodological and institutional challenges on application of the work-process analysis approach in the design and development of competence-based occupational standards for Lithuania. Design/methodology/approach: The theoretical analysis is based on the review of scientific literature and the analysis of…

  14. Entropy based fingerprint for local crystalline order

    Science.gov (United States)

    Piaggi, Pablo M.; Parrinello, Michele

    2017-09-01

    We introduce a new fingerprint that allows distinguishing between liquid-like and solid-like atomic environments. This fingerprint is based on an approximate expression for the entropy projected on individual atoms. When combined with local enthalpy, this fingerprint acquires an even finer resolution and it is capable of discriminating between different crystal structures.

  15. Designing problem-based curricula: The role of concept mapping in scaffolding learning for the health sciences

    Directory of Open Access Journals (Sweden)

    Susan M. Bridges

    2015-03-01

    Full Text Available While the utility of concept mapping has been widely reported in primary and secondary educational contexts, its application in the health sciences in higher education has been less frequently noted. Two case studies of the application of concept mapping in undergraduate and postgraduate health sciences are detailed in this paper. The case in undergraduate dental education examines the role of concept mapping in supporting problem-based learning and explores how explicit induction into the principles and practices of CM has add-on benefits to learning in an inquiry-based curriculum. The case in postgraduate medical education describes the utility of concept mapping in an online inquiry-based module design. Specific attention is given to applications of CMapTools™ software to support the implementation of Novakian concept mapping in both inquiry-based curricular contexts.

  16. Fiber Bragg grating based arterial localization device

    Science.gov (United States)

    Ho, Siu Chun Michael; Li, Weijie; Razavi, Mehdi; Song, Gangbing

    2017-06-01

    A critical first step to many surgical procedures is locating and gaining access to a patients vascular system. Vascular access allows the deployment of other surgical instruments and also the monitoring of many physiological parameters. Current methods to locate blood vessels are predominantly based on the landmark technique coupled with ultrasound, fluoroscopy, or Doppler. However, even with experience and technological assistance, locating the required blood vessel is not always an easy task, especially with patients that present atypical anatomy or suffer from conditions such as weak pulsation or obesity that make vascular localization difficult. With recent advances in fiber optic sensors, there is an opportunity to develop a new tool that can make vascular localization safer and easier. In this work, the authors present a new fiber Bragg grating (FBG) based vascular access device that specializes in arterial localization. The device estimates the location towards a local artery based on the bending of a needle inserted near the tissue surrounding the artery. Experimental results obtained from an artificial circulatory loop and a mock artery show the device works best for lower angles of needle insertion and can provide an approximately 40° range of estimation towards the location of a pulsating source (e.g. an artery).

  17. Conceptualization of competency based curricula in pre-service nursing and midwifery education: A grounded theory approach.

    Science.gov (United States)

    Muraraneza, Claudine; Mtshali, Gloria Ntombifikile

    2018-01-01

    In health professional education, the competency-based curriculum concept has been an important driver of reform in the training of competent graduates for the 21st century. In African countries, although there has been implementing it in pre-service nursing and midwifery education and the literature reports a lack of understanding of what is it on the part of the implementers. This article explores the meaning of competency based curriculum in pre-service nursing and midwifery education in Rwanda. A grounded theory approach, following Corbin and Strauss, was used. Following ethical clearance by the university ethical committee, data was collected from 17 participants through in-depth individual interviews of staff. Four categories emerged: (a) transformation, (b) tool for primary health care philosophy, (c) technological approach to education, (d) and modular system. Competency-based curriculum is confirmed as an appropriate educational tool in producing competent graduates for today and the future. Copyright © 2017 Elsevier Ltd. All rights reserved.

  18. Recreational Vehicle Maintenance and Repair. COM-LINK. Competency Based Vocational Curricula with Basic Skills and Academic Linkages.

    Science.gov (United States)

    Felice, Michael

    This competency-based module uses the Ocean County (New Jersey) Vocational-Technical Schools curriculum-infused model for infusing basic skills instruction into vocational education. The model demonstrates the relationship of vocational skills to communication, mathematics, and science. The document begins with a philosophy statement; preface; a…

  19. Automotive and Diesel Engine Rebuilding. COM-LINK. Competency Based Vocational Curricula with Basic Skills and Academic Linkages.

    Science.gov (United States)

    Salvatore, Gerald

    This competency-based module uses the Ocean County (New Jersey) Vocational-Technical Schools curriculum-infused model for infusing basic skills instruction into vocational education. The model demonstrates the relationship of vocational skills to communication, mathematics, and science. The document begins with a philosophy statement; preface; a…

  20. Adaptation Guidance for Evidence-Based Teen Pregnancy and STI/HIV Prevention Curricula: From Development to Practice

    Science.gov (United States)

    Rolleri, Lori A.; Fuller, Taleria R.; Firpo-Triplett, Regina; Lesesne, Catherine A.; Moore, Claire; Leeks, Kimberly D.

    2014-01-01

    Evidence-based interventions (EBIs) are effective in preventing adolescent pregnancy and sexually transmitted infections; however, prevention practitioners are challenged when selecting and adapting the most appropriate programs. While there are existing adaptation frameworks, there is little practical guidance in applying research in the field.…

  1. Diagnostic imaging in pregraduate integrated curricula

    International Nuclear Information System (INIS)

    Kainberger, F.; Kletter, K.

    2007-01-01

    Pregraduate medical curricula are currently undergoing a reform process that is moving away from a traditional discipline-related structure and towards problem-based integrated forms of teaching. Imaging sciences, with their inherently technical advances, are specifically influenced by the effects of paradigm shifts in medical education. The teaching of diagnostic radiology should be based on the definition of three core competencies: in vivo visualization of normal and abnormal morphology and function, diagnostic reasoning, and interventional treatment. On the basis of these goals, adequate teaching methods and e-learning tools should be implemented by focusing on case-based teaching. Teaching materials used in the fields of normal anatomy, pathology, and clinical diagnosis may help diagnostic radiology to play a central role in modern pregraduate curricula. (orig.)

  2. [Diagnostic imaging in pregraduate integrated curricula].

    Science.gov (United States)

    Kainberger, F; Kletter, K

    2007-11-01

    Pregraduate medical curricula are currently undergoing a reform process that is moving away from a traditional discipline-related structure and towards problem-based integrated forms of teaching. Imaging sciences, with their inherently technical advances, are specifically influenced by the effects of paradigm shifts in medical education. The teaching of diagnostic radiology should be based on the definition of three core competencies: in vivo visualization of normal and abnormal morphology and function, diagnostic reasoning, and interventional treatment. On the basis of these goals, adequate teaching methods and e-learning tools should be implemented by focusing on case-based teaching. Teaching materials used in the fields of normal anatomy, pathology, and clinical diagnosis may help diagnostic radiology to play a central role in modern pregraduate curricula.

  3. Librarians in Evidence-Based Medicine Curricula: A Qualitative Study of Librarian Roles, Training, and Desires for Future Development.

    Science.gov (United States)

    Maggio, Lauren A; Durieux, Nancy; Tannery, Nancy H

    2015-01-01

    This study aims to describe librarians' roles in evidence-based medicine (EBM) from the librarian perspective, identify how librarians are trained to teach, and highlight preferences for professional development. A multiinstitution qualitative study was conducted. Nine medical librarians identified by their faculty as integrated into EBM training were interviewed. Participants' descriptions indicated that they were active in curriculum development, deployment (including teaching activities), and assessment to support EBM. Participants identified direct experience and workshop participation as primary methods of learning to teach. Participants desired continuing development as teachers and requested opportunities for in-person workshops, shadowing physicians, and online training.

  4. The Effects of No Child Left Behind on the Prevalence of Evidence-Based Drug Prevention Curricula in the Nation’s Middle Schools*

    Science.gov (United States)

    Ringwalt, Chris; Hanley, Sean; Ennett, Susan T.; Vincus, Amy A.; Bowling, J. Michael; Haws, Susan W.; Rohrbach, Louise A.

    2014-01-01

    BACKGROUND Concerns have been expressed that No Child Left Behind (NCLB) may be reducing the amount of classroom time devoted to subjects other than those for which students are tested. The purpose of this article is to explore whether NCLB legislation has affected the provision of evidence-based drug prevention curricula (EBC) in the nation’s middle schools, a subject area that is not assessed by standardized tests. METHODS Data were collected in spring 2005 and spring 2008 from a nationally representative sample of middle schools. Respondents completed a survey regarding their provision of EBC (2005 response rate: 78.1%). We also collected data on schools’ adequate yearly progress (AYP) status as of 2005 as a measure of their compliance with NCLB targets. We restricted our sample to schools that responded to our survey in both waves (n = 1324, or 76.9% of those schools responding in 2005) and conducted logistic regression analyses to determine whether those schools not making AYP in 2005 were less likely to be using an EBC in 2008. RESULTS Our results revealed no relationship between AYP status in 2005 and EBC use in 2008. Analyses of demographic characteristics showed that schools making AYP were more likely to be small and rural, and to serve majority White student populations whose families were characterized by lower levels of poverty. CONCLUSIONS Our failure to find any relationship between AYP status and the provision of EBC suggests that concerns about the potential adverse effects of NCLB on drug use prevention have yet to be validated. Implications of our results are discussed. PMID:21517866

  5. A rights-based approach to science literacy using local languages: Contextualising inquiry-based learning in Africa

    Science.gov (United States)

    Babaci-Wilhite, Zehlia

    2017-06-01

    This article addresses the importance of teaching and learning science in local languages. The author argues that acknowledging local knowledge and using local languages in science education while emphasising inquiry-based learning improve teaching and learning science. She frames her arguments with the theory of inquiry, which draws on perspectives of both dominant and non-dominant cultures with a focus on science literacy as a human right. She first examines key assumptions about knowledge which inform mainstream educational research and practice. She then argues for an emphasis on contextualised learning as a right in education. This means accounting for contextualised knowledge and resisting the current trend towards de-contextualisation of curricula. This trend is reflected in Zanzibar's recent curriculum reform, in which English replaced Kiswahili as the language of instruction (LOI) in the last two years of primary school. The author's own research during the initial stage of the change (2010-2015) revealed that the effect has in fact proven to be counterproductive, with educational quality deteriorating further rather than improving. Arguing that language is essential to inquiry-based learning, she introduces a new didactic model which integrates alternative assumptions about the value of local knowledge and local languages in the teaching and learning of science subjects. In practical terms, the model is designed to address key science concepts through multiple modalities - "do it, say it, read it, write it" - a "hands-on" experiential combination which, she posits, may form a new platform for innovation based on a unique mix of local and global knowledge, and facilitate genuine science literacy. She provides examples from cutting-edge educational research and practice that illustrate this new model of teaching and learning science. This model has the potential to improve learning while supporting local languages and culture, giving local languages their

  6. Barcode based localization system in indoor environment

    Directory of Open Access Journals (Sweden)

    Ľubica Ilkovičová

    2014-12-01

    Full Text Available Nowadays, in the era of intelligent buildings, there is a need to create indoornavigation systems, what is steadily a challenge. QR (Quick Response codesprovide accurate localization also in indoor environment, where other navigationtechniques (e.g. GPS are not available. The paper deals with the issues of posi-tioning using QR codes, solved at the Department of Surveying, Faculty of CivilEngineering SUT in Bratislava. Operating principle of QR codes, description ofthe application for positioning in indoor environment based on OS Android forsmartphones are described.

  7. LGBTQ-Inclusive Curricula: Why Supportive Curricula Matter

    Science.gov (United States)

    Snapp, Shannon D.; McGuire, Jenifer K.; Sinclair, Katarina O.; Gabrion, Karlee; Russell, Stephen T.

    2015-01-01

    There is growing attention to lesbian, gay, bisexual, transgender, queer and questioning (LGBTQ) issues in schools, including efforts to address such issues through the curriculum. This study examines whether students' perceptions of personal safety and school climate safety are stronger when curricula that include LGBTQ people are present and…

  8. Sustainability curricula in design education

    NARCIS (Netherlands)

    Casais, M.; Christiaans, H.H.C.M.; Almendra, R.

    2012-01-01

    While sustainability in Design finds much attention in the literature, the education of sustainability in Design courses lacks discussion regarding curricula and importance. In an attempt to map the way sustainability is taught in Design Bachelor and Master Courses in the European Union, we began

  9. European Curricula, Xenophobia and Warfare.

    Science.gov (United States)

    Coulby, David

    1997-01-01

    Examines school and university curricula in Europe and the extent of their influence on xenophobia. Considers the pluralistic nature of the European population. Discusses the role of curriculum selection and language policy in state efforts to promote nationalism. Assesses the role of curricular systems in the actual encouragement of warfare,…

  10. Telehealth Education in Nursing Curricula.

    Science.gov (United States)

    Ali, Nagia S; Carlton, Kay Hodson; Ali, Omar S

    2015-01-01

    Telehealth care is a fast-growing avenue of providing health care services at a distance. A descriptive study was conducted to identify trends of telehealth education in 43 schools of nursing. Findings reflected inadequate integration of telehealth in classroom content, simulation, and clinical experiences. Interviews with 4 nursing leaders of telehealth provided some recommendations on how to integrate telehealth education in nursing curricula.

  11. Developmentally Appropriate Peace Education Curricula

    Science.gov (United States)

    Lewsader, Joellen; Myers-Walls, Judith A.

    2017-01-01

    Peace education has been offered to children for decades, but those curricula have been only minimally guided by children's developmental stages and needs. In this article, the authors apply their research on children's developmental understanding of peace along with peace education principles and Vygotsky's sociocultural theory to present…

  12. Constructivism theory analysis and application to curricula.

    Science.gov (United States)

    Brandon, Amy F; All, Anita C

    2010-01-01

    Today's nursing programs are struggling to accommodate the changing needs of the health care environment and need to make changes in how students are taught. Using constructivism theory, whereby learning is an active process in which learners construct new ideas or concepts based upon their current or past knowledge, leaders in nursing education can make a paradigm shift toward concept-based curricula. This article presents a summary and analysis of constructivism and an innovative application of its active-learning principles to curriculum development, specifically for the education of nursing students.

  13. Securing Localization With Hidden and Mobile Base Stations

    DEFF Research Database (Denmark)

    Capkun, Srdjan; Srivastava, Mani; Cagalj, Mario

    2006-01-01

    localization based on hidden and mobile base stations. Our approach enables secure localization with a broad spectrum of localization techniques: ultrasonic or radio, based on received signal strength or signal time of flight. Through several examples we show how this approach can be used to secure nodecentric...

  14. Iris Template Protection Based on Local Ranking

    Directory of Open Access Journals (Sweden)

    Dongdong Zhao

    2018-01-01

    Full Text Available Biometrics have been widely studied in recent years, and they are increasingly employed in real-world applications. Meanwhile, a number of potential threats to the privacy of biometric data arise. Iris template protection demands that the privacy of iris data should be protected when performing iris recognition. According to the international standard ISO/IEC 24745, iris template protection should satisfy the irreversibility, revocability, and unlinkability. However, existing works about iris template protection demonstrate that it is difficult to satisfy the three privacy requirements simultaneously while supporting effective iris recognition. In this paper, we propose an iris template protection method based on local ranking. Specifically, the iris data are first XORed (Exclusive OR operation with an application-specific string; next, we divide the results into blocks and then partition the blocks into groups. The blocks in each group are ranked according to their decimal values, and original blocks are transformed to their rank values for storage. We also extend the basic method to support the shifting strategy and masking strategy, which are two important strategies for iris recognition. We demonstrate that the proposed method satisfies the irreversibility, revocability, and unlinkability. Experimental results on typical iris datasets (i.e., CASIA-IrisV3-Interval, CASIA-IrisV4-Lamp, UBIRIS-V1-S1, and MMU-V1 show that the proposed method could maintain the recognition performance while protecting the privacy of iris data.

  15. Searching for scientific literacy and critical pedagogy in socioscientific curricula: A critical discourse analysis

    Science.gov (United States)

    Cummings, Kristina M.

    The omnipresence of science and technology in our society require the development of a critical and scientifically literate citizenry. However, the inclusion of socioscientific issues, which are open-ended controversial issues informed by both science and societal factors such as politics, economics, and ethics, do not guarantee the development of these skills. The purpose of this critical discourse analysis is to identify and analyze the discursive strategies used in intermediate science texts and curricula that address socioscientific topics and the extent to which the discourses are designed to promote or suppress the development of scientific literacy and a critical pedagogy. Three curricula that address the issue of energy and climate change were analyzed using Gee's (2011) building tasks and inquiry tools. The curricula were written by an education organization entitled PreSEES, a corporate-sponsored group called NEED, and a non-profit organization named Oxfam. The analysis found that the PreSEES and Oxfam curricula elevated the significance of climate change and the NEED curriculum deemphasized the issue. The PreSEES and Oxfam curricula promoted the development of scientific literacy while the NEED curricula suppressed its development. The PreSEES and Oxfam curricula both promoted the development of the critical pedagogy; however, only the Oxfam curricula provided authentic opportunities to enact sociopolitical change. The NEED curricula suppressed the development of critical pedagogy. From these findings, the following conclusions were drawn. When socioscientific issues are presented with the development of scientific literacy and critical pedagogy, the curricula allow students to develop fact-based opinions about the issue. However, curricula that address socioscientific issues without the inclusion of these skills minimize the significance of the issue and normalize the hegemonic worldview promoted by the curricula's authors. Based on these findings

  16. Mechatronic control engineering and electro-mechanical system design - two mechatronic curricula at Aalborg University based on problem oriented and project based learning

    DEFF Research Database (Denmark)

    Pedersen, Henrik C.; Andersen, Torben Ole; Rasmussen, Peter Omand

    2009-01-01

    , it is addressed how a mechatronic education is structured so courses and projects are aligned, to utilize the full benefits of the Problem Oriented Project Based Learning (POPBL) system practiced at AalborgUniversity (AAU). This is followed by a presentation of the two complementary educations in Mechatronicsat...... using a subsystem based approach. The challenges related to teaching and learning mechatronics are addressed, discussing how mechatronics is typically taught around the world also illustrating the trends and applications of mechatronic engineering and research. This is followed by an outline...... Based Learning environment....

  17. Infrared Beacons based Localization of Mobile Robot

    Czech Academy of Sciences Publication Activity Database

    Krejsa, Jiří; Věchet, Stanislav

    2012-01-01

    Roč. 117, č. 1 (2012), s. 17-22 ISSN 1392-1215 Institutional research plan: CEZ:AV0Z20760514 Keywords : mobile robot localization * extended Kalman filter * autonomous mobile robot Subject RIV: JD - Computer Applications, Robotics Impact factor: 0.411, year: 2012 http://www.eejournal.ktu.lt/index.php/elt/article/view/1046

  18. Derivative pricing based on local utility maximization

    OpenAIRE

    Jan Kallsen

    2002-01-01

    This paper discusses a new approach to contingent claim valuation in general incomplete market models. We determine the neutral derivative price which occurs if investors maximize their local utility and if derivative demand and supply are balanced. We also introduce the sensitivity process of a contingent claim. This process quantifies the reliability of the neutral derivative price and it can be used to construct price bounds. Moreover, it allows to calibrate market models in order to be co...

  19. Informing web-based communication curricula in veterinary education: a systematic review of web-based methods used for teaching and assessing clinical communication in medical education.

    Science.gov (United States)

    Artemiou, Elpida; Adams, Cindy L; Toews, Lorraine; Violato, Claudio; Coe, Jason B

    2014-01-01

    We determined the Web-based configurations that are applied to teach medical and veterinary communication skills, evaluated their effectiveness, and suggested future educational directions for Web-based communication teaching in veterinary education. We performed a systematic search of CAB Abstracts, MEDLINE, Scopus, and ERIC limited to articles published in English between 2000 and 2012. The review focused on medical or veterinary undergraduate to clinical- or residency-level students. We selected studies for which the study population was randomized to the Web-based learning (WBL) intervention with a post-test comparison with another WBL or non-WBL method and that reported at least one empirical outcome. Two independent reviewers completed relevancy screening, data extraction, and synthesis of results using Kirkpatrick and Kirkpatrick's framework. The search retrieved 1,583 articles, and 10 met the final inclusion criteria. We identified no published articles on Web based communication platforms in veterinary medicine; however, publications summarized from human medicine demonstrated that WBL provides a potentially reliable and valid approach for teaching and assessing communication skills. Student feedback on the use of virtual patients for teaching clinical communication skills has been positive,though evidence has suggested that practice with virtual patients prompted lower relation-building responses.Empirical outcomes indicate that WBL is a viable method for expanding the approach to teaching history taking and possibly to additional tasks of the veterinary medical interview.

  20. Ambient Sound-Based Collaborative Localization of Indeterministic Devices

    NARCIS (Netherlands)

    Kamminga, Jacob Wilhelm; Le Viet Duc, L Duc; Havinga, Paul J.M.

    2016-01-01

    Localization is essential in wireless sensor networks. To our knowledge, no prior work has utilized low-cost devices for collaborative localization based on only ambient sound, without the support of local infrastructure. The reason may be the fact that most low-cost devices are indeterministic and

  1. Carnegie Learning Curricula and Cognitive Tutor™. What Works Clearinghouse Intervention Report

    Science.gov (United States)

    What Works Clearinghouse, 2013

    2013-01-01

    "Carnegie Learning Curricula and Cognitive Tutor"®, published by Carnegie Learning, is a secondary math curricula that offers textbooks and interactive software to provide individualized, self-paced instruction based on student needs. The program includes pre-Algebra, Algebra I, Algebra II, and Geometry, as well as a three-course series…

  2. Finger Vein Recognition Based on Local Directional Code

    Science.gov (United States)

    Meng, Xianjing; Yang, Gongping; Yin, Yilong; Xiao, Rongyang

    2012-01-01

    Finger vein patterns are considered as one of the most promising biometric authentication methods for its security and convenience. Most of the current available finger vein recognition methods utilize features from a segmented blood vessel network. As an improperly segmented network may degrade the recognition accuracy, binary pattern based methods are proposed, such as Local Binary Pattern (LBP), Local Derivative Pattern (LDP) and Local Line Binary Pattern (LLBP). However, the rich directional information hidden in the finger vein pattern has not been fully exploited by the existing local patterns. Inspired by the Webber Local Descriptor (WLD), this paper represents a new direction based local descriptor called Local Directional Code (LDC) and applies it to finger vein recognition. In LDC, the local gradient orientation information is coded as an octonary decimal number. Experimental results show that the proposed method using LDC achieves better performance than methods using LLBP. PMID:23202194

  3. Finger Vein Recognition Based on Local Directional Code

    Directory of Open Access Journals (Sweden)

    Rongyang Xiao

    2012-11-01

    Full Text Available Finger vein patterns are considered as one of the most promising biometric authentication methods for its security and convenience. Most of the current available finger vein recognition methods utilize features from a segmented blood vessel network. As an improperly segmented network may degrade the recognition accuracy, binary pattern based methods are proposed, such as Local Binary Pattern (LBP, Local Derivative Pattern (LDP and Local Line Binary Pattern (LLBP. However, the rich directional information hidden in the finger vein pattern has not been fully exploited by the existing local patterns. Inspired by the Webber Local Descriptor (WLD, this paper represents a new direction based local descriptor called Local Directional Code (LDC and applies it to finger vein recognition. In LDC, the local gradient orientation information is coded as an octonary decimal number. Experimental results show that the proposed method using LDC achieves better performance than methods using LLBP.

  4. Energy-Based Acoustic Source Localization Methods: A Survey

    Directory of Open Access Journals (Sweden)

    Wei Meng

    2017-02-01

    Full Text Available Energy-based source localization is an important problem in wireless sensor networks (WSNs, which has been studied actively in the literature. Numerous localization algorithms, e.g., maximum likelihood estimation (MLE and nonlinear-least-squares (NLS methods, have been reported. In the literature, there are relevant review papers for localization in WSNs, e.g., for distance-based localization. However, not much work related to energy-based source localization is covered in the existing review papers. Energy-based methods are proposed and specially designed for a WSN due to its limited sensor capabilities. This paper aims to give a comprehensive review of these different algorithms for energy-based single and multiple source localization problems, their merits and demerits and to point out possible future research directions.

  5. Analysis of Local Financial Management Transparency Based on Websites on Local Government in Java

    Directory of Open Access Journals (Sweden)

    Anissa Adriana

    2018-03-01

    Full Text Available The aim of this research is to analyze financial management transparency of local governments in Java using scoring and rating. The financial management transparency of the local governments is scored based on presentation of local financial information uploaded on each local government’s official website in Jawa in the fiscal years 2016.This research is a qualitative research with the object of research is all local government in Java. Data analysis in two levels, namely the transparency of local government financial management and identification of local government characteristics based on transparency of financial management. Data analysis in two levels, namely the transparency of local government financial management and identification of local government characteristics based on transparency of financial management. The results show that the Special Capital Region of Jakarta obtained the highest transparency index, at 58, 02% whereas Madiun Regency received the lowest transparency index, at 3, 40%. The average transparency index in Jawa for the fiscal years 2016 was still low, at only 19, 59%.The conclusion of this research is that Java regional governments consider the transparency of local financial management using less important websites because it is considered as a better thing not delivered to the public.

  6. The Use of Virtual Patients in Medical School Curricula

    Science.gov (United States)

    Cendan, Juan; Lok, Benjamin

    2012-01-01

    The demonstration of patient-based cases using automated technology [virtual patients (VPs)] has been available to health science educators for a number of decades. Despite the promise of VPs as an easily accessible and moldable platform, their widespread acceptance and integration into medical curricula have been slow. Here, the authors review…

  7. Jet-Based Local Image Descriptors

    DEFF Research Database (Denmark)

    Larsen, Anders Boesen Lindbo; Darkner, Sune; Dahl, Anders Lindbjerg

    2012-01-01

    We present a general novel image descriptor based on higherorder differential geometry and investigate the effect of common descriptor choices. Our investigation is twofold in that we develop a jet-based descriptor and perform a comparative evaluation with current state-of-the-art descriptors on ...

  8. Influence of national culture on the adoption of integrated medical curricula.

    Science.gov (United States)

    Jippes, Mariëlle; Majoor, Gerard D

    2011-03-01

    Integrated curricula have been implemented in medical schools all over the world. However, among countries different relative numbers of schools with integrated curricula are found. This study aims to explore the possible correlation between the percentage of medical schools with integrated curricula in a country and that country's cultural characteristics. Curricula were defined as not integrated if in the first 2 years of the program at least two out of the three monodisciplinary courses Anatomy, Physiology and Biochemistry were identified. Culture was defined using Hofstede's dimensions Power distance, Uncertainty avoidance, Masculinity/Femininity, and Individualism/Collectivism. Consequently, this study had to be restricted to the 63 countries included in Hofstede's studies which harbored 1,195 medical schools. From each country we randomly sampled a maximum of 15 schools yielding 484 schools to be investigated. In total 91% (446) of the curricula were found. Correlation of percent integrated curricula and each dimension of culture was determined by calculating Spearman's Rho. A high score on the Power distance index and a high score on the Uncertainty avoidance index correlated with a low percent integrated curricula; a high score on the Individualism index correlated with a high percent integrated curricula. The percentage integrated curricula in a country did not correlate with its score on the Masculinity index. National culture is associated with the propensity of medical schools to adopt integrated medical curricula. Consequently, medical schools considering introduction of integrated and problem-based medical curricula should take into account dimensions of national culture which may hinder the innovation process.

  9. Range-Based Localization in Mobile Sensor Networks

    NARCIS (Netherlands)

    Dil, B.J.; Dil, B.; Dulman, S.O.; Havinga, Paul J.M.; Romer, K.; Karl, H.; Mattern, F.

    2006-01-01

    Localization schemes for wireless sensor networks can be classified as range-based or range-free. They differ in the information used for localization. Range-based methods use range measurements, while range-free techniques only use the content of the messages. None of the existing algorithms

  10. Cluster-based global firms' use of local capabilities

    DEFF Research Database (Denmark)

    Andersen, Poul Houman; Bøllingtoft, Anne

    2011-01-01

    Purpose – Despite growing interest in clusters role for the global competitiveness of firms, there has been little research into how globalization affects cluster-based firms’ (CBFs) use of local knowledge resources and the combination of local and global knowledge used. Using the cluster......’s knowledge base as a mediating variable, the purpose of this paper is to examine how globalization affected the studied firms’ use of local cluster-based knowledge, integration of local and global knowledge, and networking capabilities. Design/methodology/approach – Qualitative case studies of nine firms...... in three clusters strongly affected by increasing global division of labour. Findings – The paper suggests that globalization has affected how firms use local resources and combine local and global knowledge. Unexpectedly, clustered firms with explicit procedures and established global fora for exchanging...

  11. Approach of simultaneous localization and mapping based on local maps for robot

    Institute of Scientific and Technical Information of China (English)

    CHEN Bai-fan; CAI Zi-xing; HU De-wen

    2006-01-01

    An extended Kalman filter approach of simultaneous localization and mapping(SLAM) was proposed based on local maps.A local frame of reference was established periodically at the position of the robot, and then the observations of the robot and landmarks were fused into the global frame of reference. Because of the independence of the local map, the approach does not cumulate the estimate and calculation errors which are produced by SLAM using Kalman filter directly. At the same time, it reduces the computational complexity. This method is proven correct and feasible in simulation experiments.

  12. Impact of MAC Delay on AUV Localization: Underwater Localization Based on Hyperbolic Frequency Modulation Signal.

    Science.gov (United States)

    Kim, Sungryul; Yoo, Younghwan

    2018-01-26

    Medium Access Control (MAC) delay which occurs between the anchor node's transmissions is one of the error sources in underwater localization. In particular, in AUV localization, the MAC delay significantly degrades the ranging accuracy. The Cramer-Rao Low Bound (CRLB) definition theoretically proves that the MAC delay significantly degrades the localization performance. This paper proposes underwater localization combined with multiple access technology to decouple the localization performance from the MAC delay. Towards this goal, we adopt hyperbolic frequency modulation (HFM) signal that provides multiplexing based on its good property, high-temporal correlation. Owing to the multiplexing ability of the HFM signal, the anchor nodes can transmit packets without MAC delay, i.e., simultaneous transmission is possible. In addition, the simulation results show that the simultaneous transmission is not an optional communication scheme, but essential for the localization of mobile object in underwater.

  13. Ethical Hacking in Information Security Curricula

    Science.gov (United States)

    Trabelsi, Zouheir; McCoey, Margaret

    2016-01-01

    Teaching offensive security (ethical hacking) is becoming a necessary component of information security curricula with a goal of developing better security professionals. The offensive security components extend curricula beyond system defense strategies. This paper identifies and discusses the learning outcomes achieved as a result of hands-on…

  14. Can Law Become Curricula's Guidance Counselor?

    Science.gov (United States)

    Goslin, Kimberly G.

    2008-01-01

    This article asserts that curricula, a living text, ought to take into consideration the virtues of fairness, justice, and integrity as found in law, in order to judge controversial issues of curriculum. This assertion is argued through a comparison of jurisprudence and pedagogy, as well as law and curricula. Dworkin's (1986) contention of "law as…

  15. Integrating Sustainability Education into International Marketing Curricula

    Science.gov (United States)

    Perera, Chamila Roshani; Hewege, Chandana Rathnasiri

    2016-01-01

    Purpose: The purpose of this study is to extend the current knowledge of curriculum developments in international business and marketing curricula. Integrating sustainability into business and marketing curricula of the universities are widely debated in previous literature. Sustainability is a global phenomenon; however, curriculum development…

  16. Single event upset threshold estimation based on local laser irradiation

    International Nuclear Information System (INIS)

    Chumakov, A.I.; Egorov, A.N.; Mavritsky, O.B.; Yanenko, A.V.

    1999-01-01

    An approach for estimation of ion-induced SEU threshold based on local laser irradiation is presented. Comparative experiment and software simulation research were performed at various pulse duration and spot size. Correlation of single event threshold LET to upset threshold laser energy under local irradiation was found. The computer analysis of local laser irradiation of IC structures was developed for SEU threshold LET estimation. The correlation of local laser threshold energy with SEU threshold LET was shown. Two estimation techniques were suggested. The first one is based on the determination of local laser threshold dose taking into account the relation of sensitive area to local irradiated area. The second technique uses the photocurrent peak value instead of this relation. The agreement between the predicted and experimental results demonstrates the applicability of this approach. (authors)

  17. An ultrasonic-based localization system for underground mines

    CSIR Research Space (South Africa)

    Jordaan, JP

    2017-07-01

    Full Text Available -based localization system for underground mines 2017 IEEE 15th International Conference on Industrial Informatics (INDIN), 24-26 July 2017, Emden, Germany JP Jordaan, CP Kruger, BJ Silva and GP Hancke Abstract: Localization is important for a wide range...

  18. Locally processed roasted-maize-based weaning foods fortified with ...

    African Journals Online (AJOL)

    Locally processed roasted-maize-based weaning foods fortified with legumes: factors ... African Journal of Food, Agriculture, Nutrition and Development ... Tom Brown (roasted-maize porridge) is one of the traditional weaning foods in Ghana.

  19. EVALUATION OF SIFT AND SURF FOR VISION BASED LOCALIZATION

    Directory of Open Access Journals (Sweden)

    X. Qu

    2016-06-01

    Full Text Available Vision based localization is widely investigated for the autonomous navigation and robotics. One of the basic steps of vision based localization is the extraction of interest points in images that are captured by the embedded camera. In this paper, SIFT and SURF extractors were chosen to evaluate their performance in localization. Four street view image sequences captured by a mobile mapping system, were used for the evaluation and both SIFT and SURF were tested on different image scales. Besides, the impact of the interest point distribution was also studied. We evaluated the performances from for aspects: repeatability, precision, accuracy and runtime. The local bundle adjustment method was applied to refine the pose parameters and the 3D coordinates of tie points. According to the results of our experiments, SIFT was more reliable than SURF. Apart from this, both the accuracy and the efficiency of localization can be improved if the distribution of feature points are well constrained for SIFT.

  20. Medical curricula and preventing childhood obesity: pooling the resources of medical students and primary care to inform curricula.

    Science.gov (United States)

    Wylie, Ann; Furmedge, Daniel S; Appleton, Amber; Toop, Helen; Coats, Tom

    2009-03-01

    The study aimed to firstly provide a small self-selecting group of medical students with the opportunity to explore current approaches and opportunities addressing the prevention of childhood obesity and, secondly, to consider what aspects could be part of the taught curriculum. Medical students in their third and fourth year were invited to self-design special study modules (SSMs) exploring interventions and processes addressing the growing concern about childhood obesity. One student looked at the role of the primary care teams, two looked at community-based opportunities to improve physical activity in urban areas where there is significant deprivation and one student explored the complex role of the media as a social determinant of dietary patterns and sedentary behaviour. Primary care health professionals questioned their role in regard to raising the topic of obesity in the consultation and had limited awareness of current NICE guidelines and local interventions for referral. Local authority physical activity programmes have an important role in preventing and tackling obesity and although the media are regulated, there is limited impact on reducing obesity. Conversely, the influence of the media is complex and enables medical students and teachers to be aware of some of the social determinants influencing health-related behaviour. About a third of UK GP practices have some role in medical undergraduate education. It will therefore be inevitable that students will encounter GPs working with prevention and management of childhood obesity, however limited, and this will increasingly be part of the teaching agenda, whether formal and planned or opportunistic. Curricula could include being familiar with the evidence that informs NICE guidelines, observing these guidelines being implemented and their limitations, awareness of local schemes for referral to prevent or treat obesity and the influence of wider determinants on diet and physical activity behaviour

  1. Using a NIATx based local learning collaborative for performance improvement.

    Science.gov (United States)

    Roosa, Mathew; Scripa, Joseph S; Zastowny, Thomas R; Ford, James H

    2011-11-01

    Local governments play an important role in improving substance abuse and mental health services. The structure of the local learning collaborative requires careful attention to old relationships and challenges local governmental leaders to help move participants from a competitive to collaborative environment. This study describes one county's experience applying the NIATx process improvement model via a local learning collaborative. Local substance abuse and mental health agencies participated in two local learning collaboratives designed to improve client retention in substance abuse treatment and client access to mental health services. Results of changes implemented at the provider level on access and retention are outlined. The process of implementing evidence-based practices by using the Plan-Do-Study-Act rapid-cycle change is a powerful combination for change at the local level. Key lessons include: creating a clear plan and shared vision, recognizing that one size does not fit all, using data can help fuel participant engagement, a long collaborative may benefit from breaking it into smaller segments, and paying providers to offset costs of participation enhances their engagement. The experience gained in Onondaga County, New York, offers insights that serve as a foundation for using the local learning collaborative in other community-based organizations. Copyright © 2011 Elsevier Ltd. All rights reserved.

  2. Dual entanglement measures based on no local cloning and no local deleting

    International Nuclear Information System (INIS)

    Horodecki, Michal; Sen, Aditi; Sen, Ujjwal

    2004-01-01

    The impossibility of cloning and deleting of unknown states constitute important restrictions on processing of information in the quantum world. On the other hand, a known quantum state can always be cloned or deleted. However, if we restrict the class of allowed operations, there will arise restrictions on the ability of cloning and deleting machines. We have shown that cloning and deleting of known states is in general not possible by local operations. This impossibility hints at quantum correlation in the state. We propose dual measures of quantum correlation based on the dual restrictions of no local cloning and no local deleting. The measures are relative entropy distances of the desired states in a (generally impossible) perfect local cloning or local deleting process from the best approximate state that is actually obtained by imperfect local cloning or deleting machines. Just like the dual measures of entanglement cost and distillable entanglement, the proposed measures are based on important processes in quantum information. We discuss their properties. For the case of pure states, estimations of these two measures are also provided. Interestingly, the entanglement of cloning for a maximally entangled state of two two-level systems is not unity

  3. Reputation-based secure sensor localization in wireless sensor networks.

    Science.gov (United States)

    He, Jingsha; Xu, Jing; Zhu, Xingye; Zhang, Yuqiang; Zhang, Ting; Fu, Wanqing

    2014-01-01

    Location information of sensor nodes in wireless sensor networks (WSNs) is very important, for it makes information that is collected and reported by the sensor nodes spatially meaningful for applications. Since most current sensor localization schemes rely on location information that is provided by beacon nodes for the regular sensor nodes to locate themselves, the accuracy of localization depends on the accuracy of location information from the beacon nodes. Therefore, the security and reliability of the beacon nodes become critical in the localization of regular sensor nodes. In this paper, we propose a reputation-based security scheme for sensor localization to improve the security and the accuracy of sensor localization in hostile or untrusted environments. In our proposed scheme, the reputation of each beacon node is evaluated based on a reputation evaluation model so that regular sensor nodes can get credible location information from highly reputable beacon nodes to accomplish localization. We also perform a set of simulation experiments to demonstrate the effectiveness of the proposed reputation-based security scheme. And our simulation results show that the proposed security scheme can enhance the security and, hence, improve the accuracy of sensor localization in hostile or untrusted environments.

  4. Local Community Detection Algorithm Based on Minimal Cluster

    Directory of Open Access Journals (Sweden)

    Yong Zhou

    2016-01-01

    Full Text Available In order to discover the structure of local community more effectively, this paper puts forward a new local community detection algorithm based on minimal cluster. Most of the local community detection algorithms begin from one node. The agglomeration ability of a single node must be less than multiple nodes, so the beginning of the community extension of the algorithm in this paper is no longer from the initial node only but from a node cluster containing this initial node and nodes in the cluster are relatively densely connected with each other. The algorithm mainly includes two phases. First it detects the minimal cluster and then finds the local community extended from the minimal cluster. Experimental results show that the quality of the local community detected by our algorithm is much better than other algorithms no matter in real networks or in simulated networks.

  5. Science Shops - a concept for community based learning

    DEFF Research Database (Denmark)

    Jørgensen, Michael Søgaard; Hende, Merete

    2001-01-01

    Experience from science shops show that besides assisting citizen groups, science shops can also contribute to the development of university curricula and research. The paper is based on an investigation of the impact of science shops on university curricula and research through a questionnaire...... sent out to science shops and through follow-up interviews with employees from nine different university based science shops. These science shops had in the questionnaire indicated that the science shop in one way or the other has had impact on university curricula and/or research. This paper focuses...... on the impact on university curricula. The case studies have been supplemented with articles and reports. The analysis has focused on the kind of impact, which the science shops have reported, and has tried to relate the impact to the local history of the science shop. One direct impact on the curricula...

  6. INFORMATION SYSTEMS AUDIT CURRICULA CONTENT MATCHING

    OpenAIRE

    Vasile-Daniel CARDOȘ; Ildikó Réka CARDOȘ

    2014-01-01

    Financial and internal auditors must cope with the challenge of performing their mission in technology enhanced environment. In this article we match the information technology description found in the International Federation of Accountants (IFAC) and the Institute of Internal Auditors (IIA) curricula against the Model Curriculum issued by the Information Systems Audit and Control Association (ISACA). By reviewing these three curricula, we matched the content in the ISACA Model Curriculum wi...

  7. Presentation of a Nanoelectronics Curricula Study

    DEFF Research Database (Denmark)

    Bruun, Erik; Nielsen, Ivan Ring

    2008-01-01

    Future developments in nanoelectronics call for major changes in university curricula within engineering. It is found that three major factors influence the curricula: technology development, development of industrial environment, and development of university structures. It is also found that na...... that nanoelectronics programs fall into one of three different categories: Physics and nanotechnology, electronics engineering, or computer science. References are given to selected current programs....

  8. LOCAL TEXTURE DESCRIPTION FRAMEWORK FOR TEXTURE BASED FACE RECOGNITION

    Directory of Open Access Journals (Sweden)

    R. Reena Rose

    2014-02-01

    Full Text Available Texture descriptors have an important role in recognizing face images. However, almost all the existing local texture descriptors use nearest neighbors to encode a texture pattern around a pixel. But in face images, most of the pixels have similar characteristics with that of its nearest neighbors because the skin covers large area in a face and the skin tone at neighboring regions are same. Therefore this paper presents a general framework called Local Texture Description Framework that uses only eight pixels which are at certain distance apart either circular or elliptical from the referenced pixel. Local texture description can be done using the foundation of any existing local texture descriptors. In this paper, the performance of the proposed framework is verified with three existing local texture descriptors Local Binary Pattern (LBP, Local Texture Pattern (LTP and Local Tetra Patterns (LTrPs for the five issues viz. facial expression, partial occlusion, illumination variation, pose variation and general recognition. Five benchmark databases JAFFE, Essex, Indian faces, AT&T and Georgia Tech are used for the experiments. Experimental results demonstrate that even with less number of patterns, the proposed framework could achieve higher recognition accuracy than that of their base models.

  9. Cluster-based localization and tracking in ubiquitous computing systems

    CERN Document Server

    Martínez-de Dios, José Ramiro; Torres-González, Arturo; Ollero, Anibal

    2017-01-01

    Localization and tracking are key functionalities in ubiquitous computing systems and techniques. In recent years a very high variety of approaches, sensors and techniques for indoor and GPS-denied environments have been developed. This book briefly summarizes the current state of the art in localization and tracking in ubiquitous computing systems focusing on cluster-based schemes. Additionally, existing techniques for measurement integration, node inclusion/exclusion and cluster head selection are also described in this book.

  10. Meeting report of the consultancy meeting on comparison of curricula in nuclear engineering within the ANENT countries

    International Nuclear Information System (INIS)

    2007-01-01

    The participants of the Meeting have agreed to conclude: 1. The participants have been acquainted with the following: a. Curricula on nuclear science and nuclear engineering of the host country - Russia, as well as of the Republic of Korea, India and Vietnam; b. Nuclear education activities of the World Nuclear University (WNU); c. Nuclear education facilities at Moscow Engineering Physics Institute (MEPhI). 2. Discussions and analysis were made on the curricula in nuclear engineering education in the Region. 3. Main efforts were focused on developing a draft of the ANENT Reference Curricula for Master's Degree in Nuclear Engineering. The skeleton of the first draft of the Reference Curricula was created. 4. The idea about the ANENT Master's Degree in Nuclear Engineering (ANENT MDNE) was discussed. Realization of such degree would strongly and directly enhance and heighten the regional educational level in nuclear engineering in the near future. It is also expected to facilitate credit transfer and mutual recognition of degrees within the ANENT member countries in line with the ANENT's long term goals. 5. It was suggested to conduct an intensive exchange of opinions between experts and educators in the ANENT member countries to develop the ANENT MDNE further based on the skeleton of the draft. 6. It was preferable to start more extensive discussion about the idea of the ANENT MDNE and how to realize it effectively and reasonably as soon as possible. 7. The ANENT members were encouraged to discuss about ANENT Activity 4 at the next Meeting of the ANENT Coordination Committee. 8. The participants expressed their heartfelt thanks to the collective of Moscow Engineering Physics Institute (MEPhI) - the Host Organization - and to all the members of the Local Organizing Committee of the Meeting, as well as to the ANENT Scientific Secretary, for the warm atmosphere and perfect conditions provided for the success of the Meeting

  11. Local coding based matching kernel method for image classification.

    Directory of Open Access Journals (Sweden)

    Yan Song

    Full Text Available This paper mainly focuses on how to effectively and efficiently measure visual similarity for local feature based representation. Among existing methods, metrics based on Bag of Visual Word (BoV techniques are efficient and conceptually simple, at the expense of effectiveness. By contrast, kernel based metrics are more effective, but at the cost of greater computational complexity and increased storage requirements. We show that a unified visual matching framework can be developed to encompass both BoV and kernel based metrics, in which local kernel plays an important role between feature pairs or between features and their reconstruction. Generally, local kernels are defined using Euclidean distance or its derivatives, based either explicitly or implicitly on an assumption of Gaussian noise. However, local features such as SIFT and HoG often follow a heavy-tailed distribution which tends to undermine the motivation behind Euclidean metrics. Motivated by recent advances in feature coding techniques, a novel efficient local coding based matching kernel (LCMK method is proposed. This exploits the manifold structures in Hilbert space derived from local kernels. The proposed method combines advantages of both BoV and kernel based metrics, and achieves a linear computational complexity. This enables efficient and scalable visual matching to be performed on large scale image sets. To evaluate the effectiveness of the proposed LCMK method, we conduct extensive experiments with widely used benchmark datasets, including 15-Scenes, Caltech101/256, PASCAL VOC 2007 and 2011 datasets. Experimental results confirm the effectiveness of the relatively efficient LCMK method.

  12. A range-based predictive localization algorithm for WSID networks

    Science.gov (United States)

    Liu, Yuan; Chen, Junjie; Li, Gang

    2017-11-01

    Most studies on localization algorithms are conducted on the sensor networks with densely distributed nodes. However, the non-localizable problems are prone to occur in the network with sparsely distributed sensor nodes. To solve this problem, a range-based predictive localization algorithm (RPLA) is proposed in this paper for the wireless sensor networks syncretizing the RFID (WSID) networks. The Gaussian mixture model is established to predict the trajectory of a mobile target. Then, the received signal strength indication is used to reduce the residence area of the target location based on the approximate point-in-triangulation test algorithm. In addition, collaborative localization schemes are introduced to locate the target in the non-localizable situations. Simulation results verify that the RPLA achieves accurate localization for the network with sparsely distributed sensor nodes. The localization accuracy of the RPLA is 48.7% higher than that of the APIT algorithm, 16.8% higher than that of the single Gaussian model-based algorithm and 10.5% higher than that of the Kalman filtering-based algorithm.

  13. Locality constrained joint dynamic sparse representation for local matching based face recognition.

    Science.gov (United States)

    Wang, Jianzhong; Yi, Yugen; Zhou, Wei; Shi, Yanjiao; Qi, Miao; Zhang, Ming; Zhang, Baoxue; Kong, Jun

    2014-01-01

    Recently, Sparse Representation-based Classification (SRC) has attracted a lot of attention for its applications to various tasks, especially in biometric techniques such as face recognition. However, factors such as lighting, expression, pose and disguise variations in face images will decrease the performances of SRC and most other face recognition techniques. In order to overcome these limitations, we propose a robust face recognition method named Locality Constrained Joint Dynamic Sparse Representation-based Classification (LCJDSRC) in this paper. In our method, a face image is first partitioned into several smaller sub-images. Then, these sub-images are sparsely represented using the proposed locality constrained joint dynamic sparse representation algorithm. Finally, the representation results for all sub-images are aggregated to obtain the final recognition result. Compared with other algorithms which process each sub-image of a face image independently, the proposed algorithm regards the local matching-based face recognition as a multi-task learning problem. Thus, the latent relationships among the sub-images from the same face image are taken into account. Meanwhile, the locality information of the data is also considered in our algorithm. We evaluate our algorithm by comparing it with other state-of-the-art approaches. Extensive experiments on four benchmark face databases (ORL, Extended YaleB, AR and LFW) demonstrate the effectiveness of LCJDSRC.

  14. Locality constrained joint dynamic sparse representation for local matching based face recognition.

    Directory of Open Access Journals (Sweden)

    Jianzhong Wang

    Full Text Available Recently, Sparse Representation-based Classification (SRC has attracted a lot of attention for its applications to various tasks, especially in biometric techniques such as face recognition. However, factors such as lighting, expression, pose and disguise variations in face images will decrease the performances of SRC and most other face recognition techniques. In order to overcome these limitations, we propose a robust face recognition method named Locality Constrained Joint Dynamic Sparse Representation-based Classification (LCJDSRC in this paper. In our method, a face image is first partitioned into several smaller sub-images. Then, these sub-images are sparsely represented using the proposed locality constrained joint dynamic sparse representation algorithm. Finally, the representation results for all sub-images are aggregated to obtain the final recognition result. Compared with other algorithms which process each sub-image of a face image independently, the proposed algorithm regards the local matching-based face recognition as a multi-task learning problem. Thus, the latent relationships among the sub-images from the same face image are taken into account. Meanwhile, the locality information of the data is also considered in our algorithm. We evaluate our algorithm by comparing it with other state-of-the-art approaches. Extensive experiments on four benchmark face databases (ORL, Extended YaleB, AR and LFW demonstrate the effectiveness of LCJDSRC.

  15. Redesigning Curricula in Geology and Geophysics

    Science.gov (United States)

    Sparks, D. W.; Ewing, R. C.; Fowler, D.; Macik, M.; Marcantonio, F.; Miller, B.; Newman, J.; Olszewski, T.; Reece, R.; Rosser, S.

    2015-12-01

    In the summer of 2014, the Texas A&M Department of Geology and Geophysics partnered with the Texas A&M Center for Teaching Excellence to implement TAMU's curriculum revision process: a data-informed, faculty-driven, educational-developer-supported rebuilding of our degree programs and course offerings. The current curricula (B.S. and B.A. in Geology, B.S. in Geophysics) were put into place in 1997, following the merger of two separate departments. The needs and capabilities of the Department and the student body have changed significantly since that time: more than 50% turnover of the faculty, a rapidly-changing job climate for geologists and geophysicists, and a nearly five-fold increase in the undergraduate population to over 500 majors in Fall 2015. Surveys of former students, employers and faculty at other universities revealed more reasons to address the curriculum. Some of the most desired skills are also those at which our graduates feel and are perceived to be least prepared: oral communication and the ability to learn software packages (skills that are most challenging to teach with growing class sizes). The challenge facing the Department is to accommodate growing student numbers while maintaining strength in traditional instructor-intensive activities such as microscopy and field mapping, and also improving our graduates' non-geological skills (e.g., communication, software use, teamwork, problem-solving) to insulate them from volatility in the current job market. We formed the Curriculum Study Group, consisting of faculty, graduate students, advisors and curriculum experts, to gather and analyze data and define the knowledge and skill base a graduate of our department must have. In addition to conducting external surveys, this group interviewed current students and faculty to determine the strengths and weaknesses of our program. We developed program learning goals that were further specified into over fifty criteria. For each criteria we defined

  16. Cancer: Implications for pre-registration radiography curricula

    International Nuclear Information System (INIS)

    Paterson, Audrey

    2012-01-01

    The aim of this paper is to discuss pre-registration radiography education curricula in the context of cancer, changing healthcare delivery in the UK, and the considerable interaction of radiographers with people with cancer. The fitness for purpose of the long-standing curriculum model of alternating academic and clinical learning experiences is questioned and a view expressed that it is no longer sufficient to prepare student radiographers for practice and as professionals. A suggestion is made that curricula should be aligned with cancer (and other) care pathways although it is recognised that such a change would be difficult. It is concluded that the profession should explore what is the appropriate curriculum model given the development of the care pathway approach to healthcare delivery, and, if appropriate, make changes based on research evidence.

  17. MFAM: Multiple Frequency Adaptive Model-Based Indoor Localization Method.

    Science.gov (United States)

    Tuta, Jure; Juric, Matjaz B

    2018-03-24

    This paper presents MFAM (Multiple Frequency Adaptive Model-based localization method), a novel model-based indoor localization method that is capable of using multiple wireless signal frequencies simultaneously. It utilizes indoor architectural model and physical properties of wireless signal propagation through objects and space. The motivation for developing multiple frequency localization method lies in the future Wi-Fi standards (e.g., 802.11ah) and the growing number of various wireless signals present in the buildings (e.g., Wi-Fi, Bluetooth, ZigBee, etc.). Current indoor localization methods mostly rely on a single wireless signal type and often require many devices to achieve the necessary accuracy. MFAM utilizes multiple wireless signal types and improves the localization accuracy over the usage of a single frequency. It continuously monitors signal propagation through space and adapts the model according to the changes indoors. Using multiple signal sources lowers the required number of access points for a specific signal type while utilizing signals, already present in the indoors. Due to the unavailability of the 802.11ah hardware, we have evaluated proposed method with similar signals; we have used 2.4 GHz Wi-Fi and 868 MHz HomeMatic home automation signals. We have performed the evaluation in a modern two-bedroom apartment and measured mean localization error 2.0 to 2.3 m and median error of 2.0 to 2.2 m. Based on our evaluation results, using two different signals improves the localization accuracy by 18% in comparison to 2.4 GHz Wi-Fi-only approach. Additional signals would improve the accuracy even further. We have shown that MFAM provides better accuracy than competing methods, while having several advantages for real-world usage.

  18. MFAM: Multiple Frequency Adaptive Model-Based Indoor Localization Method

    Directory of Open Access Journals (Sweden)

    Jure Tuta

    2018-03-01

    Full Text Available This paper presents MFAM (Multiple Frequency Adaptive Model-based localization method, a novel model-based indoor localization method that is capable of using multiple wireless signal frequencies simultaneously. It utilizes indoor architectural model and physical properties of wireless signal propagation through objects and space. The motivation for developing multiple frequency localization method lies in the future Wi-Fi standards (e.g., 802.11ah and the growing number of various wireless signals present in the buildings (e.g., Wi-Fi, Bluetooth, ZigBee, etc.. Current indoor localization methods mostly rely on a single wireless signal type and often require many devices to achieve the necessary accuracy. MFAM utilizes multiple wireless signal types and improves the localization accuracy over the usage of a single frequency. It continuously monitors signal propagation through space and adapts the model according to the changes indoors. Using multiple signal sources lowers the required number of access points for a specific signal type while utilizing signals, already present in the indoors. Due to the unavailability of the 802.11ah hardware, we have evaluated proposed method with similar signals; we have used 2.4 GHz Wi-Fi and 868 MHz HomeMatic home automation signals. We have performed the evaluation in a modern two-bedroom apartment and measured mean localization error 2.0 to 2.3 m and median error of 2.0 to 2.2 m. Based on our evaluation results, using two different signals improves the localization accuracy by 18% in comparison to 2.4 GHz Wi-Fi-only approach. Additional signals would improve the accuracy even further. We have shown that MFAM provides better accuracy than competing methods, while having several advantages for real-world usage.

  19. Robust 3D face landmark localization based on local coordinate coding.

    Science.gov (United States)

    Song, Mingli; Tao, Dacheng; Sun, Shengpeng; Chen, Chun; Maybank, Stephen J

    2014-12-01

    In the 3D facial animation and synthesis community, input faces are usually required to be labeled by a set of landmarks for parameterization. Because of the variations in pose, expression and resolution, automatic 3D face landmark localization remains a challenge. In this paper, a novel landmark localization approach is presented. The approach is based on local coordinate coding (LCC) and consists of two stages. In the first stage, we perform nose detection, relying on the fact that the nose shape is usually invariant under the variations in the pose, expression, and resolution. Then, we use the iterative closest points algorithm to find a 3D affine transformation that aligns the input face to a reference face. In the second stage, we perform resampling to build correspondences between the input 3D face and the training faces. Then, an LCC-based localization algorithm is proposed to obtain the positions of the landmarks in the input face. Experimental results show that the proposed method is comparable to state of the art methods in terms of its robustness, flexibility, and accuracy.

  20. The growing importance of mental health: are medical curricula responding?

    Science.gov (United States)

    Azhar, M Z

    2002-12-01

    Mental health is becoming an important issue. Several local and international studies have proven that the incidence of mental illness is on the rise. Doctors have also been able to make more accurate diagnoses and treat mental disorders more reliably with the aid of recent research and newer drugs. As such it is necessary for the medical curricula to respond to this shift. Medical students must now be exposed to new psychiatric disorders and ways of managing them. The time spent in psychiatry and the mode of teaching must also be revised and modified to the current needs of patients.

  1. Monocular Vision-Based Robot Localization and Target Tracking

    Directory of Open Access Journals (Sweden)

    Bing-Fei Wu

    2011-01-01

    Full Text Available This paper presents a vision-based technology for localizing targets in 3D environment. It is achieved by the combination of different types of sensors including optical wheel encoders, an electrical compass, and visual observations with a single camera. Based on the robot motion model and image sequences, extended Kalman filter is applied to estimate target locations and the robot pose simultaneously. The proposed localization system is applicable in practice because it is not necessary to have the initializing setting regarding starting the system from artificial landmarks of known size. The technique is especially suitable for navigation and target tracing for an indoor robot and has a high potential extension to surveillance and monitoring for Unmanned Aerial Vehicles with aerial odometry sensors. The experimental results present “cm” level accuracy of the localization of the targets in indoor environment under a high-speed robot movement.

  2. Simulation in Occupational Therapy Curricula: A literature review.

    Science.gov (United States)

    Bennett, Sally; Rodger, Sylvia; Fitzgerald, Cate; Gibson, Libby

    2017-08-01

    Simulated learning experiences are increasingly being used in health-care education to enhance student engagement and provide experiences that reflect clinical practice; however, simulation has not been widely investigated in occupational therapy curricula. The aim of this paper was to: (i) describe the existing research about the use and evaluation of simulation over the last three decades in occupational therapy curricula and (ii) consider how simulation has been used to develop competence in students. A literature review was undertaken with searches of MEDLINE, CINAHL and ERIC to locate articles that described or evaluated the use of simulation in occupational therapy curricula. Fifty-seven papers were identified. Occupational therapy educators have used the full scope of simulation modalities, including written case studies (22), standardised patients (13), video case studies (15), computer-based and virtual reality cases (7), role-play (8) and mannequins and part-task trainers (4). Ten studies used combinations of these modalities and two papers compared modalities. Most papers described the use of simulation for foundational courses, as for preparation for fieldwork, and to address competencies necessary for newly graduating therapists. The majority of studies were descriptive, used pre-post design, or were student's perceptions of the value of simulation. Simulation-based education has been used for a wide range of purposes in occupational therapy curricula and appears to be well received. Randomised controlled trials are needed to more accurately understand the effects of simulation not just for occupational therapy students but for longer term outcomes in clinical practice. © 2017 Occupational Therapy Australia.

  3. Adaptive local backlight dimming algorithm based on local histogram and image characteristics

    DEFF Research Database (Denmark)

    Nadernejad, Ehsan; Burini, Nino; Korhonen, Jari

    2013-01-01

    -off between power consumption and image quality preservation than the other algorithms representing the state of the art among feature based backlight algorithms. © (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.......Liquid Crystal Display (LCDs) with Light Emitting Diode (LED) backlight is a very popular display technology, used for instance in television sets, monitors and mobile phones. This paper presents a new backlight dimming algorithm that exploits the characteristics of the target image......, such as the local histograms and the average pixel intensity of each backlight segment, to reduce the power consumption of the backlight and enhance image quality. The local histogram of the pixels within each backlight segment is calculated and, based on this average, an adaptive quantile value is extracted...

  4. The Role of Motive Objects in Early Childhood Teacher Development Concerning Children's Digital Play and Play-Based Learning in Early Childhood Curricula

    Science.gov (United States)

    Nuttall, Joce; Edwards, Susan; Mantilla, Ana; Grieshaber, Sue; Wood, Elizabeth

    2015-01-01

    Digital technologies are increasingly accepted as a viable aspect of early childhood curriculum. However, teacher uptake of digital technologies in early childhood education and their use with young children in play-based approaches to learning have not been strong. Traditional approaches to the problem of teacher uptake of digital technologies in…

  5. Chemical analysis and base-promoted hydrolysis of locally ...

    African Journals Online (AJOL)

    Abstract. The study was on the chemical analysis and base- promoted hydrolysis of extracted shea nut fat. The local method of extraction of the shea nut oil was employed in comparison with literature report. A simple cold-process alkali hydrolysis of the shea nut oil was used in producing the soap. The chemical analysis of ...

  6. Novel Ethernet Based Optical Local Area Networks for Computer Interconnection

    NARCIS (Netherlands)

    Radovanovic, Igor; van Etten, Wim; Taniman, R.O.; Kleinkiskamp, Ronny

    2003-01-01

    In this paper we present new optical local area networks for fiber-to-the-desk application. Presented networks are expected to bring a solution for having optical fibers all the way to computers. To bring the overall implementation costs down we have based our networks on short-wavelength optical

  7. Constraint-based local search for container stowage slot planning

    DEFF Research Database (Denmark)

    Pacino, Dario; Jensen, Rune Møller; Bebbington, Tom

    2012-01-01

    -sea vessels. This paper describes the constrained-based local search algorithm used in the second phase of this approach where individual containers are assigned to slots in each bay section. The algorithm can solve this problem in an average of 0.18 seconds per bay, corresponding to a 20 seconds runtime...

  8. Prospective randomized study of contrast reaction management curricula: Computer-based interactive simulation versus high-fidelity hands-on simulation

    Energy Technology Data Exchange (ETDEWEB)

    Wang, Carolyn L., E-mail: wangcl@uw.edu [Department of Radiology, University of Washington, Box 357115, 1959 NE Pacific Street, Seattle, WA 98195-7115 (United States); Schopp, Jennifer G.; Kani, Kimia [Department of Radiology, University of Washington, Box 357115, 1959 NE Pacific Street, Seattle, WA 98195-7115 (United States); Petscavage-Thomas, Jonelle M. [Penn State Hershey Medical Center, Department of Radiology, 500 University Drive, Hershey, PA 17033 (United States); Zaidi, Sadaf; Hippe, Dan S.; Paladin, Angelisa M.; Bush, William H. [Department of Radiology, University of Washington, Box 357115, 1959 NE Pacific Street, Seattle, WA 98195-7115 (United States)

    2013-12-01

    Purpose: We developed a computer-based interactive simulation program for teaching contrast reaction management to radiology trainees and compared its effectiveness to high-fidelity hands-on simulation training. Materials and methods: IRB approved HIPAA compliant prospective study of 44 radiology residents, fellows and faculty who were randomized into either the high-fidelity hands-on simulation group or computer-based simulation group. All participants took separate written tests prior to and immediately after their intervention. Four months later participants took a delayed written test and a hands-on high-fidelity severe contrast reaction scenario performance test graded on predefined critical actions. Results: There was no statistically significant difference between the computer and hands-on groups’ written pretest, immediate post-test, or delayed post-test scores (p > 0.6 for all). Both groups’ scores improved immediately following the intervention (p < 0.001). The delayed test scores 4 months later were still significantly higher than the pre-test scores (p ≤ 0.02). The computer group's performance was similar to the hands-on group on the severe contrast reaction simulation scenario test (p = 0.7). There were also no significant differences between the computer and hands-on groups in performance on the individual core competencies of contrast reaction management during the contrast reaction scenario. Conclusion: It is feasible to develop a computer-based interactive simulation program to teach contrast reaction management. Trainees that underwent computer-based simulation training scored similarly on written tests and on a hands-on high-fidelity severe contrast reaction scenario performance test as those trained with hands-on high-fidelity simulation.

  9. Prospective randomized study of contrast reaction management curricula: Computer-based interactive simulation versus high-fidelity hands-on simulation

    International Nuclear Information System (INIS)

    Wang, Carolyn L.; Schopp, Jennifer G.; Kani, Kimia; Petscavage-Thomas, Jonelle M.; Zaidi, Sadaf; Hippe, Dan S.; Paladin, Angelisa M.; Bush, William H.

    2013-01-01

    Purpose: We developed a computer-based interactive simulation program for teaching contrast reaction management to radiology trainees and compared its effectiveness to high-fidelity hands-on simulation training. Materials and methods: IRB approved HIPAA compliant prospective study of 44 radiology residents, fellows and faculty who were randomized into either the high-fidelity hands-on simulation group or computer-based simulation group. All participants took separate written tests prior to and immediately after their intervention. Four months later participants took a delayed written test and a hands-on high-fidelity severe contrast reaction scenario performance test graded on predefined critical actions. Results: There was no statistically significant difference between the computer and hands-on groups’ written pretest, immediate post-test, or delayed post-test scores (p > 0.6 for all). Both groups’ scores improved immediately following the intervention (p < 0.001). The delayed test scores 4 months later were still significantly higher than the pre-test scores (p ≤ 0.02). The computer group's performance was similar to the hands-on group on the severe contrast reaction simulation scenario test (p = 0.7). There were also no significant differences between the computer and hands-on groups in performance on the individual core competencies of contrast reaction management during the contrast reaction scenario. Conclusion: It is feasible to develop a computer-based interactive simulation program to teach contrast reaction management. Trainees that underwent computer-based simulation training scored similarly on written tests and on a hands-on high-fidelity severe contrast reaction scenario performance test as those trained with hands-on high-fidelity simulation

  10. Endeavoring to Contextualize Curricula Within an EBP Framework: A Grounded Theory Study.

    Science.gov (United States)

    Malik, Gulzar; McKenna, Lisa; Griffiths, Debra

    2018-01-01

    Adopting evidence-based practice (EBP) principles in undergraduate education can facilitate nursing students' appreciation of EBP. Using grounded theory method, this study aimed to explore processes used by nurse academics while integrating EBP concepts in undergraduate nursing curricula across Australian universities. Twenty-three nurse academics were interviewed and nine were observed during teaching of undergraduate students. In addition, 20 unit/subject guides were analyzed using grounded theory approach of data analysis. The theory " On a path to success: Endeavoring to contextualize curricula within an EBP framework" reflects academics' endeavors toward linking EBP concepts to practice, aiming to contextualize curricula in a manner that engages students within an EBP framework. However, academics' journeys were influenced by several contextual factors which require strategies to accomplish their endeavors. In conclusion, initiatives to minimize barriers, faculty development, and provision of resources across educational and clinical settings are fundamental to achieving undergraduate curricula underpinned by EBP concepts.

  11. Visual Appearance-Based Unmanned Vehicle Sequential Localization

    Directory of Open Access Journals (Sweden)

    Wei Liu

    2013-01-01

    Full Text Available Localizationis of vital importance for an unmanned vehicle to drive on the road. Most of the existing algorithms are based on laser range finders, inertial equipment, artificial landmarks, distributing sensors or global positioning system(GPS information. Currently, the problem of localization with vision information is most concerned. However, vision-based localization techniquesare still unavailable for practical applications. In this paper, we present a vision-based sequential probability localization method. This method uses the surface information of the roadside to locate the vehicle, especially in the situation where GPS information is unavailable. It is composed of two step, first, in a recording stage, we construct a ground truthmap with the appearance of the roadside environment. Then in an on-line stage, we use a sequential matching approach to localize the vehicle. In the experiment, we use two independent cameras to observe the environment, one is left-orientated and the other is right. SIFT features and Daisy features are used to represent for the visual appearance of the environment. The experiment results show that the proposed method could locate the vehicle in a complicated, large environment with high reliability.

  12. Bayesian-based localization in inhomogeneous transmission media

    DEFF Research Database (Denmark)

    Nadimi, E. S.; Blanes-Vidal, V.; Johansen, P. M.

    2013-01-01

    In this paper, we propose a novel robust probabilistic approach based on the Bayesian inference using received-signal-strength (RSS) measurements with varying path-loss exponent. We derived the probability density function (pdf) of the distance between any two sensors in the network with heteroge......In this paper, we propose a novel robust probabilistic approach based on the Bayesian inference using received-signal-strength (RSS) measurements with varying path-loss exponent. We derived the probability density function (pdf) of the distance between any two sensors in the network...... with heterogeneous transmission medium as a function of the given RSS measurements and the characteristics of the heterogeneous medium. The results of this study show that the localization mean square error (MSE) of the Bayesian-based method outperformed all other existing localization approaches. © 2013 ACM....

  13. Search-free license plate localization based on saliency and local variance estimation

    Science.gov (United States)

    Safaei, Amin; Tang, H. L.; Sanei, S.

    2015-02-01

    In recent years, the performance and accuracy of automatic license plate number recognition (ALPR) systems have greatly improved, however the increasing number of applications for such systems have made ALPR research more challenging than ever. The inherent computational complexity of search dependent algorithms remains a major problem for current ALPR systems. This paper proposes a novel search-free method of localization based on the estimation of saliency and local variance. Gabor functions are then used to validate the choice of candidate license plate. The algorithm was applied to three image datasets with different levels of complexity and the results compared with a number of benchmark methods, particularly in terms of speed. The proposed method outperforms the state of the art methods and can be used for real time applications.

  14. The Toggle Local Planner for sampling-based motion planning

    KAUST Repository

    Denny, Jory

    2012-05-01

    Sampling-based solutions to the motion planning problem, such as the probabilistic roadmap method (PRM), have become commonplace in robotics applications. These solutions are the norm as the dimensionality of the planning space grows, i.e., d > 5. An important primitive of these methods is the local planner, which is used for validation of simple paths between two configurations. The most common is the straight-line local planner which interpolates along the straight line between the two configurations. In this paper, we introduce a new local planner, Toggle Local Planner (Toggle LP), which extends local planning to a two-dimensional subspace of the overall planning space. If no path exists between the two configurations in the subspace, then Toggle LP is guaranteed to correctly return false. Intuitively, more connections could be found by Toggle LP than by the straight-line planner, resulting in better connected roadmaps. As shown in our results, this is the case, and additionally, the extra cost, in terms of time or storage, for Toggle LP is minimal. Additionally, our experimental analysis of the planner shows the benefit for a wide array of robots, with DOF as high as 70. © 2012 IEEE.

  15. Face detection and facial feature localization using notch based templates

    International Nuclear Information System (INIS)

    Qayyum, U.

    2007-01-01

    We present a real time detection off aces from the video with facial feature localization as well as the algorithm capable of differentiating between the face/non-face patterns. The need of face detection and facial feature localization arises in various application of computer vision, so a lot of research is dedicated to come up with a real time solution. The algorithm should remain simple to perform real time whereas it should not compromise on the challenges encountered during the detection and localization phase, keeping simplicity and all challenges i.e. algorithm invariant to scale, translation, and (+-45) rotation transformations. The proposed system contains two parts. Visual guidance and face/non-face classification. The visual guidance phase uses the fusion of motion and color cues to classify skin color. Morphological operation with union-structure component labeling algorithm extracts contiguous regions. Scale normalization is applied by nearest neighbor interpolation method to avoid the effect of different scales. Using the aspect ratio of width and height size. Region of Interest (ROI) is obtained and then passed to face/non-face classifier. Notch (Gaussian) based templates/ filters are used to find circular darker regions in ROI. The classified face region is handed over to facial feature localization phase, which uses YCbCr eyes/lips mask for face feature localization. The empirical results show an accuracy of 90% for five different videos with 1000 face/non-face patterns and processing rate of proposed algorithm is 15 frames/sec. (author)

  16. Incorporating sustainability into accounting curricula

    DEFF Research Database (Denmark)

    Hazelton, James; Haigh, Matthew

    2010-01-01

    . The first author introduced sustainability-related material into a core technical accounting unit and created an elective unit. The second author participated with students to evaluate critically social reports of employers, current and potential. In terms of an objective of bringing reflexivity......This paper chronicles the journey of two projects that sought to incorporate principles of sustainable development into predominantly technical postgraduate accounting curricula. The design and delivery of the projects were informed by Freirian principles of praxis and critical empowerment...... as vocational skills) add to the difficulties for sustainability in penetrating already overcrowded curricula....

  17. A block matching-based registration algorithm for localization of locally advanced lung tumors

    Energy Technology Data Exchange (ETDEWEB)

    Robertson, Scott P.; Weiss, Elisabeth; Hugo, Geoffrey D., E-mail: gdhugo@vcu.edu [Department of Radiation Oncology, Virginia Commonwealth University, Richmond, Virginia, 23298 (United States)

    2014-04-15

    Purpose: To implement and evaluate a block matching-based registration (BMR) algorithm for locally advanced lung tumor localization during image-guided radiotherapy. Methods: Small (1 cm{sup 3}), nonoverlapping image subvolumes (“blocks”) were automatically identified on the planning image to cover the tumor surface using a measure of the local intensity gradient. Blocks were independently and automatically registered to the on-treatment image using a rigid transform. To improve speed and robustness, registrations were performed iteratively from coarse to fine image resolution. At each resolution, all block displacements having a near-maximum similarity score were stored. From this list, a single displacement vector for each block was iteratively selected which maximized the consistency of displacement vectors across immediately neighboring blocks. These selected displacements were regularized using a median filter before proceeding to registrations at finer image resolutions. After evaluating all image resolutions, the global rigid transform of the on-treatment image was computed using a Procrustes analysis, providing the couch shift for patient setup correction. This algorithm was evaluated for 18 locally advanced lung cancer patients, each with 4–7 weekly on-treatment computed tomography scans having physician-delineated gross tumor volumes. Volume overlap (VO) and border displacement errors (BDE) were calculated relative to the nominal physician-identified targets to establish residual error after registration. Results: Implementation of multiresolution registration improved block matching accuracy by 39% compared to registration using only the full resolution images. By also considering multiple potential displacements per block, initial errors were reduced by 65%. Using the final implementation of the BMR algorithm, VO was significantly improved from 77% ± 21% (range: 0%–100%) in the initial bony alignment to 91% ± 8% (range: 56%–100%;p < 0

  18. A block matching-based registration algorithm for localization of locally advanced lung tumors

    International Nuclear Information System (INIS)

    Robertson, Scott P.; Weiss, Elisabeth; Hugo, Geoffrey D.

    2014-01-01

    Purpose: To implement and evaluate a block matching-based registration (BMR) algorithm for locally advanced lung tumor localization during image-guided radiotherapy. Methods: Small (1 cm 3 ), nonoverlapping image subvolumes (“blocks”) were automatically identified on the planning image to cover the tumor surface using a measure of the local intensity gradient. Blocks were independently and automatically registered to the on-treatment image using a rigid transform. To improve speed and robustness, registrations were performed iteratively from coarse to fine image resolution. At each resolution, all block displacements having a near-maximum similarity score were stored. From this list, a single displacement vector for each block was iteratively selected which maximized the consistency of displacement vectors across immediately neighboring blocks. These selected displacements were regularized using a median filter before proceeding to registrations at finer image resolutions. After evaluating all image resolutions, the global rigid transform of the on-treatment image was computed using a Procrustes analysis, providing the couch shift for patient setup correction. This algorithm was evaluated for 18 locally advanced lung cancer patients, each with 4–7 weekly on-treatment computed tomography scans having physician-delineated gross tumor volumes. Volume overlap (VO) and border displacement errors (BDE) were calculated relative to the nominal physician-identified targets to establish residual error after registration. Results: Implementation of multiresolution registration improved block matching accuracy by 39% compared to registration using only the full resolution images. By also considering multiple potential displacements per block, initial errors were reduced by 65%. Using the final implementation of the BMR algorithm, VO was significantly improved from 77% ± 21% (range: 0%–100%) in the initial bony alignment to 91% ± 8% (range: 56%–100%;p < 0.001). Left

  19. Integrating Globality and Locality for Robust Representation Based Classification

    Directory of Open Access Journals (Sweden)

    Zheng Zhang

    2014-01-01

    Full Text Available The representation based classification method (RBCM has shown huge potential for face recognition since it first emerged. Linear regression classification (LRC method and collaborative representation classification (CRC method are two well-known RBCMs. LRC and CRC exploit training samples of each class and all the training samples to represent the testing sample, respectively, and subsequently conduct classification on the basis of the representation residual. LRC method can be viewed as a “locality representation” method because it just uses the training samples of each class to represent the testing sample and it cannot embody the effectiveness of the “globality representation.” On the contrary, it seems that CRC method cannot own the benefit of locality of the general RBCM. Thus we propose to integrate CRC and LRC to perform more robust representation based classification. The experimental results on benchmark face databases substantially demonstrate that the proposed method achieves high classification accuracy.

  20. Examining the core: relations among reading curricula, poverty, and first through third grade reading achievement.

    Science.gov (United States)

    Crowe, Elizabeth Coyne; Connor, Carol McDonald; Petscher, Yaacov

    2009-06-01

    Policy changes at the federal and state level are endeavoring to improve student achievement at schools serving children from lower-SES homes. One important strategy is the focus on using evidence-based core reading curricula to provide a consistent framework for instruction across schools. However, rarely have these curricula undergone rigorous comparative testing. Therefore, the purpose of this study was to compare the effects of six core reading curricula on oral reading fluency growth, while appraising whether these effects differ by grade level and for children living in lower socioeconomic (SES) households. Over 30,000 students in first through third grade Florida Reading First classrooms comprise this academically and economically diverse cross-sectional. Hierarchical Linear Modeling was used to model latent growth curves for students' reading fluency scores over the school year. Growth curves revealed differences across curricula as well as between students of lower and higher SES, suggesting that reading fluency growth trajectories for curricula varied depending on student SES and grade level. Findings indicate that while there are similarities among curricula, they sometimes differ in their ability to promote reading skill growth. Differences by grade level and SES were also detected. However, many of these differences were small. Implications for the use of curriculum as a conduit for improving reading instruction are discussed.

  1. Free locally convex spaces with a small base

    Czech Academy of Sciences Publication Activity Database

    Gabriyelyan, S.; Kąkol, Jerzy

    2017-01-01

    Roč. 111, č. 2 (2017), s. 575-585 ISSN 1578-7303 R&D Projects: GA ČR GF16-34860L Institutional support: RVO:67985840 Keywords : compact resolution * free locally convex space * G-base Subject RIV: BA - General Mathematics OBOR OECD: Pure mathematics Impact factor: 0.690, year: 2016 http://link.springer.com/article/10.1007%2Fs13398-016-0315-1

  2. Biogas Filter Based on Local Natural Zeolite Materials

    OpenAIRE

    Krido Wahono, Satriyo; Anggo Rizal, Wahyu

    2014-01-01

    UPT BPPTK LIPI has created a biogas filter tool to improve the purity of methane in the biogas. The device shaped cylindrical tube containing absorbent materials which based on local natural zeolite of Indonesia. The absorbent has been activated and modified with other materials. This absorbtion material has multi-adsorption capacity for almost impurities gas of biogas. The biogas  filter increase methane content of biogas for 5-20%. The biogas filter improve the biogas’s performance such as ...

  3. Smartphone-Based Cooperative Indoor Localization with RFID Technology

    Directory of Open Access Journals (Sweden)

    Fernando Seco

    2018-01-01

    Full Text Available In GPS-denied indoor environments, localization and tracking of people can be achieved with a mobile device such as a smartphone by processing the received signal strength (RSS of RF signals emitted from known location beacons (anchor nodes, combined with Pedestrian Dead Reckoning (PDR estimates of the user motion. An enhacement of this localization technique is feasible if the users themselves carry additional RF emitters (mobile nodes, and the cooperative position estimates of a group of persons incorporate the RSS measurements exchanged between users. We propose a centralized cooperative particle filter (PF formulation over the joint state of all users that permits to process RSS measurements from both anchor and mobile emitters, as well as PDR motion estimates and map information (if available to increase the overall positioning accuracy, particularly in regions with low density of anchor nodes. Smartphones are used as a convenient mobile platform for sensor measurements acquisition, low-level processing, and data transmission to a central unit, where cooperative localization processing takes place. The cooperative method is experimentally demonstrated with four users moving in an area of 1600 m 2 , with 7 anchor nodes comprised of active RFID (radio frequency identification tags, and additional mobile tags carried by each user. Due to the limited coverage provided by the anchor beacons, RSS-based individual localization is inaccurate (6.1 m median error, but this improves to 4.9 m median error with the cooperative PF. Further gains are produced if the PDR information is added to the filter: median error of 3.1 m (individual and 2.6 m (cooperative; and if map information is also considered, the results are 1.8 m (individual and 1.6 m (cooperative. Thus, for each version of the particle filter, cooperative localization outperforms individual localization in terms of positioning accuracy.

  4. Computers in Curricula Program for Networked College Level Writing Process Instruction: A First Year Report.

    Science.gov (United States)

    Balajthy, Ernest

    The first section of this report lists a variety of advantages and disadvantages of educational applications of Local Area Networks (LANs), with descriptive and evaluative comments on how the Union County Computers in the Curricula Network Project (Cranford, New Jersey) dealt with each. The second section of the report describes the following…

  5. Adapting bioinformatics curricula for big data.

    Science.gov (United States)

    Greene, Anna C; Giffin, Kristine A; Greene, Casey S; Moore, Jason H

    2016-01-01

    Modern technologies are capable of generating enormous amounts of data that measure complex biological systems. Computational biologists and bioinformatics scientists are increasingly being asked to use these data to reveal key systems-level properties. We review the extent to which curricula are changing in the era of big data. We identify key competencies that scientists dealing with big data are expected to possess across fields, and we use this information to propose courses to meet these growing needs. While bioinformatics programs have traditionally trained students in data-intensive science, we identify areas of particular biological, computational and statistical emphasis important for this era that can be incorporated into existing curricula. For each area, we propose a course structured around these topics, which can be adapted in whole or in parts into existing curricula. In summary, specific challenges associated with big data provide an important opportunity to update existing curricula, but we do not foresee a wholesale redesign of bioinformatics training programs. © The Author 2015. Published by Oxford University Press.

  6. Initiating Tobacco Curricula in Dental Hygiene Education

    Science.gov (United States)

    Boyd, Linda D.; Fun, Kay; Madden, Theresa E.

    2006-01-01

    Two hours of tobacco instructions were incorporated into the baccalaureate dental hygiene curricula in a university in the Northwestern United States. Prior to graduation, all senior students were invited to complete anonymously a questionnaire surveying attitudes and clinical skills in providing tobacco services to their clinic patients. Twenty…

  7. Communication Curricula in the Multicultural University.

    Science.gov (United States)

    Koester, Jolene; Lustig, Myron W.

    1991-01-01

    Argues in favor of developing and adapting curricula with a multicultural perspective. Presents typical problems facing students who are outside their cultural context. Describes the dominance of a United States Anglo perspective in communication skills, theory, and methods courses. Offers five suggestions for developing multicultural…

  8. Political Ideology and Taiwanese School Curricula

    Science.gov (United States)

    Su, Ya-Chen

    2006-01-01

    Taiwanese textbooks play a central role in Taiwanese education. In the wake of the political reform and social protest movements of the 1970s and 1980s that prompted Taiwanese educational reform, critics have charged that traditional curricula tend to reinforce the dominant national Chinese cultural identity. The purpose of this article is to…

  9. Embedding Multiple Literacies into STEM Curricula

    Science.gov (United States)

    Soules, Aline; Nielsen, Sarah; LeDuc, Danika; Inouye, Caron; Singley, Jason; Wildy, Erica; Seitz, Jeff

    2014-01-01

    In fall 2012, an interdisciplinary team of science, English, and library faculty embedded reading, writing, and information literacy strategies in Science, Technology, Engineering, and Mathematics (STEM) curricula as a first step in improving student learning and retention in science courses and aligning them with the Next Generation Science and…

  10. Recruitment of Hispanic Students into MIS Curricula

    Science.gov (United States)

    McHaney, Roger; Martin, Dawne

    2007-01-01

    This paper provides several suggestions Hispanic student recruitment and retention in MIS or other business curricula. Cultural considerations like allocentrism and familialism are discussed along with the situation at K-State. It is believed that the recruitment and retention of Hispanic students can be influenced positively by considering…

  11. National Standards for High School Psychology Curricula

    Science.gov (United States)

    American Psychologist, 2013

    2013-01-01

    The "National Standards for High School Psychology Curricula" attempts to represent current knowledge in the field of psychology in developmentally appropriate ways. Psychology is a popular high school course, one that can introduce students to scientific ideas and engage students in the learning process. However, it is difficult for even the best…

  12. Adapting bioinformatics curricula for big data

    Science.gov (United States)

    Greene, Anna C.; Giffin, Kristine A.; Greene, Casey S.

    2016-01-01

    Modern technologies are capable of generating enormous amounts of data that measure complex biological systems. Computational biologists and bioinformatics scientists are increasingly being asked to use these data to reveal key systems-level properties. We review the extent to which curricula are changing in the era of big data. We identify key competencies that scientists dealing with big data are expected to possess across fields, and we use this information to propose courses to meet these growing needs. While bioinformatics programs have traditionally trained students in data-intensive science, we identify areas of particular biological, computational and statistical emphasis important for this era that can be incorporated into existing curricula. For each area, we propose a course structured around these topics, which can be adapted in whole or in parts into existing curricula. In summary, specific challenges associated with big data provide an important opportunity to update existing curricula, but we do not foresee a wholesale redesign of bioinformatics training programs. PMID:25829469

  13. Cultural Intelligence (CQ) in MBA Curricula

    Science.gov (United States)

    Ahn, Mark J.; Ettner, Larry

    2013-01-01

    Purpose: The purpose of this paper is to investigate the role of cultural intelligence in MBA curricula. Shaping global corporate culture that manifests itself in powerful-shared values, group behavior, and persists despite changes in-group membership is decisive to organizational performance. In turn, cultural intelligence (CQ), defined, as an…

  14. Taxonomy for competency-based dental curricula.

    Science.gov (United States)

    Beltrán-Neira, Roberto J; Beltrán-Aguilar, Eugenio D

    2004-09-01

    The objective of this article is to propose a classification of dental competencies. Interest in dental competencies has grown consistently during the last three decades. However, the dental education literature suggests that the term "competency" is understood and used differently by dental schools around the world. The taxonomic classification of dental competencies we propose follows a systematic approach starting at the highest level of complexity, i.e., the professional profile the teaching institution envisions for its graduates, and following in a decreasing degree of complexity to competency function, task, step, movement, and moment. This taxonomy has proved to be useful for more than thirty years in the Dental School of the Peruvian University Cayetano Heredia. Graduates of this school are successful practitioners, teachers, and researchers in Peru and other countries. The classification proposed here should clarify terms, facilitate curriculum design and learning assessment, stimulate further discussion on the matter, and facilitate communication among the dental education establishment.

  15. A local-area-network based radiation oncology microcomputer system

    International Nuclear Information System (INIS)

    Chu, W.K.; Taylor, T.K.; Kumar, P.P.; Imray, T.J.

    1985-01-01

    The application of computerized technology in the medical specialty of radiation oncology has gained wide acceptance in the past decade. Recognizing that most radiation oncology department personnel are familiar with computer operations and terminology, it appears reasonable to attempt to expand the computer's applications to other departmental activities, such as scheduling, record keeping, billing, treatment regimen and status, etc. Instead of sharing the processing capability available on the existent treatment minicomputer, the radiation oncology computer system is based upon a microcomputer local area network (LAN). The system was conceptualized in 1984 and completed in March 1985. This article outlines the LAN-based radiation oncology computer system

  16. Local field effects and metamaterials based on colloidal quantum dots

    International Nuclear Information System (INIS)

    Porvatkina, O V; Tishchenko, A A; Strikhanov, M N

    2015-01-01

    Metamaterials are composite structures that exhibit interesting and unusual properties, e.g. negative refractive index. In this article we consider metamaterials based on colloidal quantum dots (CQDs). We investigate these structures taking into account the local field effects and theoretically analyze expressions for permittivity and permeability of metamaterials based on CdSe CQDs. We obtain inequality describing the conditions when material with definite concentration of CQDs is metamaterial. Also we investigate how the values of dielectric polarizability and magnetic polarizability of CQDs depend on the dots radius and properties the material the quantum dots are made of. (paper)

  17. Nanobiosensors Based on Localized Surface Plasmon Resonance for Biomarker Detection

    Directory of Open Access Journals (Sweden)

    Yoochan Hong

    2012-01-01

    Full Text Available Localized surface plasmon resonance (LSPR is induced by incident light when it interacts with noble metal nanoparticles that have smaller sizes than the wavelength of the incident light. Recently, LSPR-based nanobiosensors were developed as tools for highly sensitive, label-free, and flexible sensing techniques for the detection of biomolecular interactions. In this paper, we describe the basic principles of LSPR-based nanobiosensing techniques and LSPR sensor system for biomolecule sensing. We also discuss the challenges using LSPR nanobiosensors for detection of biomolecules as a biomarker.

  18. Value-based benefit-cost of local DSM

    International Nuclear Information System (INIS)

    Stein, V.

    1995-01-01

    Value-based benefits and costs of demand-side management (DSM) were discussed in the context of local electricity resource planning in downtown Toronto. The analysis considered the effects on local customer interruption as a result of DSM, and the deferment in need for local transmission and distribution upgrades. The life cycle and cash flow benefits and costs of DSM were discussed from the perspectives of the electric utility, the DSM-participating and non-participating customers, and society as a whole. Cashflow and lifecycle analyses results were reconciled. The Toronto Integrated Electrical Service (TIES) study, the basis for this paper, was described. Two main conclusions were reached, i.e. since the savings in the generationg system as a whole were far greater than the local savings,the value of a specific DSM program would be similar across a utility's service area, and (2) while cashflow analysis illustrated the short and medium term benefits and costs in a way most people intuitively understand, in effect,the lifecycle-cost estimates produce a clearer indicator of long-run economics

  19. Stochastic Wheel-Slip Compensation Based Robot Localization and Mapping

    Directory of Open Access Journals (Sweden)

    SIDHARTHAN, R. K.

    2016-05-01

    Full Text Available Wheel slip compensation is vital for building accurate and reliable dead reckoning based robot localization and mapping algorithms. This investigation presents stochastic slip compensation scheme for robot localization and mapping. Main idea of the slip compensation technique is to use wheel-slip data obtained from experiments to model the variations in slip velocity as Gaussian distributions. This leads to a family of models that are switched depending on the input command. To obtain the wheel-slip measurements, experiments are conducted on a wheeled mobile robot and the measurements thus obtained are used to build the Gaussian models. Then the localization and mapping algorithm is tested on an experimental terrain and a new metric called the map spread factor is used to evaluate the ability of the slip compensation technique. Our results clearly indicate that the proposed methodology improves the accuracy by 72.55% for rotation and 66.67% for translation motion as against an uncompensated mapping system. The proposed compensation technique eliminates the need for extro receptive sensors for slip compensation, complex feature extraction and association algorithms. As a result, we obtain a simple slip compensation scheme for localization and mapping.

  20. Community-Based Ecotourism: The Transformation of Local Community

    Directory of Open Access Journals (Sweden)

    Pookhao Nantira

    2014-01-01

    Full Text Available Community-based ecotourism (CBET is considered a sustainable form of tourism that improves the quality of life of hosts at the tourist destination. Scholars have yet to explore the long-term operation of CBET in relation to its effects on the local way of life. Consequently, the purpose of this paper is to examine the transformation of a local community due to the operation of CBET in relation to sociocultural, economic and environmental aspects. The findings reveal that the community encounters both positive and negative impacts of transformation. However, unintended impacts of the CBET operation lay embedded in the transformation of relationships among the community members. The study identifies that close relationships among the villagers has been initially transformed to loose relationships due to forgotten communal goals; CBET has transformed from being a conservation tool to being a business-oriented goal which causes conflicts of interest among local people and alters traditional social structure. The study also agrees with the notion of social exchange theory for villagers to enhance environmental sustainability, and proposes that slight inequalities of benefits received from CBET causes social transformation at the local level.

  1. Environmental Engineering Curricula assessment in the global world

    Science.gov (United States)

    Caporali, Enrica; Catelani, Marcantonio; Manfrida, Giampaolo; Valdiserri, Juna

    2014-05-01

    Environmental engineers are technicians with specific expertise on the sustainability of human presence in the environment. Among other global dilemmas, to the environmental engineers it is often demanded to be able in developing systematic, innovative solutions in order to simultaneously meet water and energy needs, to build resilience to natural and technological disasters, to more accurately gauge and manage countries' greenhouse gas emissions. The general objectives of the Environmental Engineers are to establish actions of environmental sustainability as well as to verify progress toward global goals or international commitments. The globalization of challenges and problems to be faced, leads, in general, to the globalization of the engineering profession. In particular, since the environmental issues are without boundaries, and many and different are the involved professions and the competences, the environmental engineer must have a multidisciplinary and interdisciplinary approach to adequately answer to the demand of technical innovative knowledge at global scale. The environmental engineers, more and more, are involved in international projects were the effective collaboration requires not only the capacity to communicate in a common technical language, but also the assurance of an adequate and common level of technical competences, knowledge and understanding. The Europe-based EUR ACE system, currently operated by ENAEE - European Network for Accreditation of Engineering Education, can represent the proper framework and accreditation system in order to provide a set of measures to assess the quality of engineering degree programmes in Europe and abroad. In the global frame of the knowledge triangle: education-innovation-research, the accreditation and quality assurance of engineering curricula in Europe is discussed with reference to the Environmental engineering curricula, of the 1st and 2nd cycle, based on the European Credit Transfer System and in

  2. Science Process Skills in Science Curricula Applied in Turkey

    Science.gov (United States)

    Yumusak, Güngör Keskinkiliç

    2016-01-01

    One of the most important objectives of the science curricula is to bring in science process skills. The science process skills are skills that lie under scientific thinking and decision-making. Thus it is important for a science curricula to be rationalized in such a way that it brings in science process skills. New science curricula were…

  3. Local Competition-Based Superpixel Segmentation Algorithm in Remote Sensing

    Directory of Open Access Journals (Sweden)

    Jiayin Liu

    2017-06-01

    Full Text Available Remote sensing technologies have been widely applied in urban environments’ monitoring, synthesis and modeling. Incorporating spatial information in perceptually coherent regions, superpixel-based approaches can effectively eliminate the “salt and pepper” phenomenon which is common in pixel-wise approaches. Compared with fixed-size windows, superpixels have adaptive sizes and shapes for different spatial structures. Moreover, superpixel-based algorithms can significantly improve computational efficiency owing to the greatly reduced number of image primitives. Hence, the superpixel algorithm, as a preprocessing technique, is more and more popularly used in remote sensing and many other fields. In this paper, we propose a superpixel segmentation algorithm called Superpixel Segmentation with Local Competition (SSLC, which utilizes a local competition mechanism to construct energy terms and label pixels. The local competition mechanism leads to energy terms locality and relativity, and thus, the proposed algorithm is less sensitive to the diversity of image content and scene layout. Consequently, SSLC could achieve consistent performance in different image regions. In addition, the Probability Density Function (PDF, which is estimated by Kernel Density Estimation (KDE with the Gaussian kernel, is introduced to describe the color distribution of superpixels as a more sophisticated and accurate measure. To reduce computational complexity, a boundary optimization framework is introduced to only handle boundary pixels instead of the whole image. We conduct experiments to benchmark the proposed algorithm with the other state-of-the-art ones on the Berkeley Segmentation Dataset (BSD and remote sensing images. Results demonstrate that the SSLC algorithm yields the best overall performance, while the computation time-efficiency is still competitive.

  4. Local Competition-Based Superpixel Segmentation Algorithm in Remote Sensing.

    Science.gov (United States)

    Liu, Jiayin; Tang, Zhenmin; Cui, Ying; Wu, Guoxing

    2017-06-12

    Remote sensing technologies have been widely applied in urban environments' monitoring, synthesis and modeling. Incorporating spatial information in perceptually coherent regions, superpixel-based approaches can effectively eliminate the "salt and pepper" phenomenon which is common in pixel-wise approaches. Compared with fixed-size windows, superpixels have adaptive sizes and shapes for different spatial structures. Moreover, superpixel-based algorithms can significantly improve computational efficiency owing to the greatly reduced number of image primitives. Hence, the superpixel algorithm, as a preprocessing technique, is more and more popularly used in remote sensing and many other fields. In this paper, we propose a superpixel segmentation algorithm called Superpixel Segmentation with Local Competition (SSLC), which utilizes a local competition mechanism to construct energy terms and label pixels. The local competition mechanism leads to energy terms locality and relativity, and thus, the proposed algorithm is less sensitive to the diversity of image content and scene layout. Consequently, SSLC could achieve consistent performance in different image regions. In addition, the Probability Density Function (PDF), which is estimated by Kernel Density Estimation (KDE) with the Gaussian kernel, is introduced to describe the color distribution of superpixels as a more sophisticated and accurate measure. To reduce computational complexity, a boundary optimization framework is introduced to only handle boundary pixels instead of the whole image. We conduct experiments to benchmark the proposed algorithm with the other state-of-the-art ones on the Berkeley Segmentation Dataset (BSD) and remote sensing images. Results demonstrate that the SSLC algorithm yields the best overall performance, while the computation time-efficiency is still competitive.

  5. local

    Directory of Open Access Journals (Sweden)

    Abílio Amiguinho

    2005-01-01

    Full Text Available The process of socio-educational territorialisation in rural contexts is the topic of this text. The theme corresponds to a challenge to address it having as main axis of discussion either the problem of social exclusion or that of local development. The reasons to locate the discussion in this last field of analysis are discussed in the first part of the text. Theoretical and political reasons are there articulated because the question is about projects whose intentions and practices call for the political both in the theoretical debate and in the choices that anticipate intervention. From research conducted for several years, I use contributions that aim at discuss and enlighten how school can be a potential locus of local development. Its identification and recognition as local institution (either because of those that work and live in it or because of those that act in the surrounding context are crucial steps to progressively constitute school as a partner for development. The promotion of the local values and roots, the reconstruction of socio-personal and local identities, the production of sociabilities and the equation and solution of shared problems were the dimensions of a socio-educative intervention, markedly globalising. This scenario, as it is argued, was also, intentionally, one of transformation and of deliberate change of school and of the administration of the educative territoires.

  6. Smartphone-Based Indoor Localization with Bluetooth Low Energy Beacons.

    Science.gov (United States)

    Zhuang, Yuan; Yang, Jun; Li, You; Qi, Longning; El-Sheimy, Naser

    2016-04-26

    Indoor wireless localization using Bluetooth Low Energy (BLE) beacons has attracted considerable attention after the release of the BLE protocol. In this paper, we propose an algorithm that uses the combination of channel-separate polynomial regression model (PRM), channel-separate fingerprinting (FP), outlier detection and extended Kalman filtering (EKF) for smartphone-based indoor localization with BLE beacons. The proposed algorithm uses FP and PRM to estimate the target's location and the distances between the target and BLE beacons respectively. We compare the performance of distance estimation that uses separate PRM for three advertisement channels (i.e., the separate strategy) with that use an aggregate PRM generated through the combination of information from all channels (i.e., the aggregate strategy). The performance of FP-based location estimation results of the separate strategy and the aggregate strategy are also compared. It was found that the separate strategy can provide higher accuracy; thus, it is preferred to adopt PRM and FP for each BLE advertisement channel separately. Furthermore, to enhance the robustness of the algorithm, a two-level outlier detection mechanism is designed. Distance and location estimates obtained from PRM and FP are passed to the first outlier detection to generate improved distance estimates for the EKF. After the EKF process, the second outlier detection algorithm based on statistical testing is further performed to remove the outliers. The proposed algorithm was evaluated by various field experiments. Results show that the proposed algorithm achieved the accuracy of EKF algorithm and 15.77% more accurate than EKF algorithm. With sparse deployment (1 beacon per 18 m), the proposed algorithm achieves the accuracies of EKF algorithm and 21.41% better than EKF algorithm. Therefore, the proposed algorithm is especially useful to improve the localization accuracy in environments with sparse beacon deployment.

  7. Assessment of Constraint Effects based on Local Approach

    International Nuclear Information System (INIS)

    Lee, Tae Rin; Chang, Yoon Suk; Choi, Jae Boong; Seok, Chang Sung; Kim, Young Jin

    2005-01-01

    Traditional fracture mechanics has been used to ensure a structural integrity, in which the geometry independence is assumed in crack tip deformation and fracture toughness. However, the assumption is applicable only within limited conditions. To address fracture covering a broad range of loading and crack geometries, two-parameter global approach and local approach have been proposed. The two-parameter global approach can quantify the load and crack geometry effects by adopting T-stress or Q-parameter but time-consuming and expensive since lots of experiments and finite element (FE) analyses are necessary. On the other hand, the local approach evaluates the load and crack geometry effects based on damage model. Once material specific fitting constants are determined from a few experiments and FE analyses, the fracture resistance characteristics can be obtained by numerical simulation. The purpose of this paper is to investigate constraint effects for compact tension (CT) specimens with different in-plane or out-of-plane size using local approach. Both modified GTN model and Rousselier model are adopted to examine the ductile fracture behavior of SA515 Gr.60 carbon steel at high temperature. The fracture resistance (J-R) curves are estimated through numerical analysis, compared with corresponding experimental results and, then, crack length, thickness and side-groove effects are evaluated

  8. Statistical lamb wave localization based on extreme value theory

    Science.gov (United States)

    Harley, Joel B.

    2018-04-01

    Guided wave localization methods based on delay-and-sum imaging, matched field processing, and other techniques have been designed and researched to create images that locate and describe structural damage. The maximum value of these images typically represent an estimated damage location. Yet, it is often unclear if this maximum value, or any other value in the image, is a statistically significant indicator of damage. Furthermore, there are currently few, if any, approaches to assess the statistical significance of guided wave localization images. As a result, we present statistical delay-and-sum and statistical matched field processing localization methods to create statistically significant images of damage. Our framework uses constant rate of false alarm statistics and extreme value theory to detect damage with little prior information. We demonstrate our methods with in situ guided wave data from an aluminum plate to detect two 0.75 cm diameter holes. Our results show an expected improvement in statistical significance as the number of sensors increase. With seventeen sensors, both methods successfully detect damage with statistical significance.

  9. Finger image quality based on singular point localization

    DEFF Research Database (Denmark)

    Wang, Jinghua; Olsen, Martin A.; Busch, Christoph

    2014-01-01

    Singular points are important global features of fingerprints and singular point localization is a crucial step in biometric recognition. Moreover the presence and position of the core point in a captured fingerprint sample can reflect whether the finger is placed properly on the sensor. Therefore...... and analyze the importance of singular points on biometric accuracy. The experiment is based on large scale databases and conducted by relating the measured quality of a fingerprint sample, given by the positions of core points, to the biometric performance. The experimental results show the positions of core...

  10. Biogas Filter Based on Local Natural Zeolite Materials

    Directory of Open Access Journals (Sweden)

    Satriyo Krido Wahono

    2014-02-01

    Full Text Available UPT BPPTK LIPI has created a biogas filter tool to improve the purity of methane in the biogas. The device shaped cylindrical tube containing absorbent materials which based on local natural zeolite of Indonesia. The absorbent has been activated and modified with other materials. This absorbtion material has multi-adsorption capacity for almost impurities gas of biogas. The biogas  filter increase methane content of biogas for 5-20%. The biogas filter improve the biogas’s performance such as increasing methane contents, increasing heating value, reduction of odors, reduction of corrosion potential, increasing the efficiency and stability of the generator.

  11. Localization-based super-resolution imaging of cellular structures.

    Science.gov (United States)

    Kanchanawong, Pakorn; Waterman, Clare M

    2013-01-01

    Fluorescence microscopy allows direct visualization of fluorescently tagged proteins within cells. However, the spatial resolution of conventional fluorescence microscopes is limited by diffraction to ~250 nm, prompting the development of super-resolution microscopy which offers resolution approaching the scale of single proteins, i.e., ~20 nm. Here, we describe protocols for single molecule localization-based super-resolution imaging, using focal adhesion proteins as an example and employing either photoswitchable fluorophores or photoactivatable fluorescent proteins. These protocols should also be easily adaptable to imaging a broad array of macromolecular assemblies in cells whose components can be fluorescently tagged and assemble into high density structures.

  12. Infrared target recognition based on improved joint local ternary pattern

    Science.gov (United States)

    Sun, Junding; Wu, Xiaosheng

    2016-05-01

    This paper presents a simple, efficient, yet robust approach, named joint orthogonal combination of local ternary pattern, for automatic forward-looking infrared target recognition. It gives more advantages to describe the macroscopic textures and microscopic textures by fusing variety of scales than the traditional LBP-based methods. In addition, it can effectively reduce the feature dimensionality. Further, the rotation invariant and uniform scheme, the robust LTP, and soft concave-convex partition are introduced to enhance its discriminative power. Experimental results demonstrate that the proposed method can achieve competitive results compared with the state-of-the-art methods.

  13. Gene ontology based transfer learning for protein subcellular localization

    Directory of Open Access Journals (Sweden)

    Zhou Shuigeng

    2011-02-01

    Full Text Available Abstract Background Prediction of protein subcellular localization generally involves many complex factors, and using only one or two aspects of data information may not tell the true story. For this reason, some recent predictive models are deliberately designed to integrate multiple heterogeneous data sources for exploiting multi-aspect protein feature information. Gene ontology, hereinafter referred to as GO, uses a controlled vocabulary to depict biological molecules or gene products in terms of biological process, molecular function and cellular component. With the rapid expansion of annotated protein sequences, gene ontology has become a general protein feature that can be used to construct predictive models in computational biology. Existing models generally either concatenated the GO terms into a flat binary vector or applied majority-vote based ensemble learning for protein subcellular localization, both of which can not estimate the individual discriminative abilities of the three aspects of gene ontology. Results In this paper, we propose a Gene Ontology Based Transfer Learning Model (GO-TLM for large-scale protein subcellular localization. The model transfers the signature-based homologous GO terms to the target proteins, and further constructs a reliable learning system to reduce the adverse affect of the potential false GO terms that are resulted from evolutionary divergence. We derive three GO kernels from the three aspects of gene ontology to measure the GO similarity of two proteins, and derive two other spectrum kernels to measure the similarity of two protein sequences. We use simple non-parametric cross validation to explicitly weigh the discriminative abilities of the five kernels, such that the time & space computational complexities are greatly reduced when compared to the complicated semi-definite programming and semi-indefinite linear programming. The five kernels are then linearly merged into one single kernel for

  14. Clustering of 18 Local Black Rice Base on Total Anthocyanin

    Directory of Open Access Journals (Sweden)

    Kristamtini Kristamtini

    2017-10-01

    Full Text Available Black rice has a high anthocyanin content in the pericarp layer, which provides a dark purple color. Anthocyanin serve as an antioxidant that control cholesterol level in the blood, prevent anemia, potentially improve the body's resistance to disease, improve damage to liver cells (hepatitis and chirrosis, prevent impaired kidney function, prevent cancer/tumors, slows down antiaging, and prevent atherosclerosis and cardiovascular disease. Exploration results at AIAT Yogyakarta, Indonesia from 2011 to 2014 obtained 18 cultivar of local black rice Indonesia. The names of the rice are related to the color (black, red or purple formed by anthocyanin deposits in the pericarp layer, seed coat or aleuron. The objective of the study was to classify several types of local black rice from explorations based on the total anthocyanin content. The study was conducted by clustering analyzing the total anthocyanin content of 18 local black rice cultivars in Indonesia. Cluster analysis of total anthocyanin content were done using SAS ver. 9.2. Clustering dendogram shows that there were 4 groups of black rice cultivars based on the total anthocyanin content. Group I consists of Melik black rice, Patalan black rice, Yunianto black rice, Muharjo black rice, Ngatijo black rice, short life of Tugiyo black rice, Andel hitam 1, Jlitheng, and Sragen black rice. Group II consists of Pari ireng, Magelang black hairy rice, Banjarnegara-Wonosobo black rice, and Banjarnegara black rice. Group III consists of NTT black rice, Magelang non hairy black rice, Sembada hitam, and longevity Tugiyo black rice. Group IV consist only one type of black rice namely Cempo ireng. The grouping result indicate the existence of duplicate names among the black rice namely Patalan with Yunianto black rice, and short life Tugiyo with Andel hitam 1 black rice.

  15. INFORMATION SYSTEMS AUDIT CURRICULA CONTENT MATCHING

    Directory of Open Access Journals (Sweden)

    Vasile-Daniel CARDOȘ

    2014-11-01

    Full Text Available Financial and internal auditors must cope with the challenge of performing their mission in technology enhanced environment. In this article we match the information technology description found in the International Federation of Accountants (IFAC and the Institute of Internal Auditors (IIA curricula against the Model Curriculum issued by the Information Systems Audit and Control Association (ISACA. By reviewing these three curricula, we matched the content in the ISACA Model Curriculum with the IFAC International Education Practice Statement 2 and the IIAs’ Global Model Internal Audit Curriculum. In the IFAC and IIA Curriculum there are 16 content elements, out of 19 possible, which match, in their description, the ISACA Model Curriculum’s content. We noticed that a candidate who graduates an IFAC or IIA compliant program acquire IS auditing competences similar to the specific content of the ISACA model curriculum but less than the requirements for a professional information systems auditor.

  16. Improving mobile robot localization: grid-based approach

    Science.gov (United States)

    Yan, Junchi

    2012-02-01

    Autonomous mobile robots have been widely studied not only as advanced facilities for industrial and daily life automation, but also as a testbed in robotics competitions for extending the frontier of current artificial intelligence. In many of such contests, the robot is supposed to navigate on the ground with a grid layout. Based on this observation, we present a localization error correction method by exploring the geometric feature of the tile patterns. On top of the classical inertia-based positioning, our approach employs three fiber-optic sensors that are assembled under the bottom of the robot, presenting an equilateral triangle layout. The sensor apparatus, together with the proposed supporting algorithm, are designed to detect a line's direction (vertical or horizontal) by monitoring the grid crossing events. As a result, the line coordinate information can be fused to rectify the cumulative localization deviation from inertia positioning. The proposed method is analyzed theoretically in terms of its error bound and also has been implemented and tested on a customary developed two-wheel autonomous mobile robot.

  17. Constraint-Based Local Search for Constrained Optimum Paths Problems

    Science.gov (United States)

    Pham, Quang Dung; Deville, Yves; van Hentenryck, Pascal

    Constrained Optimum Path (COP) problems arise in many real-life applications and are ubiquitous in communication networks. They have been traditionally approached by dedicated algorithms, which are often hard to extend with side constraints and to apply widely. This paper proposes a constraint-based local search (CBLS) framework for COP applications, bringing the compositionality, reuse, and extensibility at the core of CBLS and CP systems. The modeling contribution is the ability to express compositional models for various COP applications at a high level of abstraction, while cleanly separating the model and the search procedure. The main technical contribution is a connected neighborhood based on rooted spanning trees to find high-quality solutions to COP problems. The framework, implemented in COMET, is applied to Resource Constrained Shortest Path (RCSP) problems (with and without side constraints) and to the edge-disjoint paths problem (EDP). Computational results show the potential significance of the approach.

  18. An over-view of robot assisted surgery curricula and the status of their validation.

    Science.gov (United States)

    Fisher, Rebecca A; Dasgupta, Prokar; Mottrie, Alex; Volpe, Alessandro; Khan, Mohammed S; Challacombe, Ben; Ahmed, Kamran

    2015-01-01

    Robotic surgery is a rapidly expanding field. Thus far training for robotic techniques has been unstructured and the requirements are variable across various regions. Several projects are currently underway to develop a robotic surgery curriculum and are in various stages of validation. We aimed to outline the structures of available curricula, their process of development, validation status and current utilization. We undertook a literature review of papers including the MeSH terms "Robotics" and "Education". When we had an overview of curricula in development, we searched recent conference abstracts to gain up to date information. The main curricula are the FRS, the FSRS, the Canadian BSTC and the ERUS initiative. They are in various stages of validation and offer a mixture of theoretical and practical training, using both physical and simulated models. Whilst the FSRS is based on tasks on the RoSS virtual reality simulator, FRS and BSTC are designed for use on simulators and the robot itself. The ERUS curricula benefits from a combination of dry lab, wet lab and virtual reality components, which may allow skills to be more transferable to the OR as tasks are completed in several formats. Finally, the ERUS curricula includes the OR modular training programme as table assistant and console surgeon. Curricula are a crucial step in global standardisation of training and certification of surgeons for robotic surgical procedures. Many curricula are in early stages of development and more work is needed in development and validation of these programmes before training can be standardised. Copyright © 2014 Surgical Associates Ltd. Published by Elsevier Ltd. All rights reserved.

  19. Non-localization and localization ROC analyses using clinically based scoring

    Science.gov (United States)

    Paquerault, Sophie; Samuelson, Frank W.; Myers, Kyle J.; Smith, Robert C.

    2009-02-01

    We are investigating the potential for differences in study conclusions when assessing the estimated impact of a computer-aided detection (CAD) system on readers' performance. The data utilized in this investigation were derived from a multi-reader multi-case observer study involving one hundred mammographic background images to which fixed-size and fixed-intensity Gaussian signals were added, generating a low- and high-intensity signal sets. The study setting allowed CAD assessment in two situations: when CAD sensitivity was 1) superior or 2) lower than the average reader. Seven readers were asked to review each set in the unaided and CAD-aided reading modes, mark and rate their findings. Using this data, we studied the effect on study conclusion of three clinically-based receiver operating characteristic (ROC) scoring definitions. These scoring definitions included both location-specific and non-location-specific rules. The results showed agreement in the estimated impact of CAD on the overall reader performance. In the study setting where CAD sensitivity is superior to the average reader, the mean difference in AUC between the CAD-aided read and unaided read was 0.049 (95%CIs: -0.027; 0.130) for the image scoring definition that is based on non-location-specific rules, and 0.104 (95%CIs: 0.036; 0.174) and 0.090 (95%CIs: 0.031; 0.155) for image scoring definitions that are based on location-specific rules. The increases in AUC were statistically significant for the location-specific scoring definitions. It was further observed that the variance on these estimates was reduced when using the location-specific scoring definitions compared to that using a non-location-specific scoring definition. In the study setting where CAD sensitivity is equivalent or lower than the average reader, the mean differences in AUC are slightly above 0.01 for all image scoring definitions. These increases in AUC were not statistical significant for any of the image scoring definitions

  20. Example-Based Image Colorization Using Locality Consistent Sparse Representation.

    Science.gov (United States)

    Bo Li; Fuchen Zhao; Zhuo Su; Xiangguo Liang; Yu-Kun Lai; Rosin, Paul L

    2017-11-01

    Image colorization aims to produce a natural looking color image from a given gray-scale image, which remains a challenging problem. In this paper, we propose a novel example-based image colorization method exploiting a new locality consistent sparse representation. Given a single reference color image, our method automatically colorizes the target gray-scale image by sparse pursuit. For efficiency and robustness, our method operates at the superpixel level. We extract low-level intensity features, mid-level texture features, and high-level semantic features for each superpixel, which are then concatenated to form its descriptor. The collection of feature vectors for all the superpixels from the reference image composes the dictionary. We formulate colorization of target superpixels as a dictionary-based sparse reconstruction problem. Inspired by the observation that superpixels with similar spatial location and/or feature representation are likely to match spatially close regions from the reference image, we further introduce a locality promoting regularization term into the energy formulation, which substantially improves the matching consistency and subsequent colorization results. Target superpixels are colorized based on the chrominance information from the dominant reference superpixels. Finally, to further improve coherence while preserving sharpness, we develop a new edge-preserving filter for chrominance channels with the guidance from the target gray-scale image. To the best of our knowledge, this is the first work on sparse pursuit image colorization from single reference images. Experimental results demonstrate that our colorization method outperforms the state-of-the-art methods, both visually and quantitatively using a user study.

  1. Smartphone-Based Indoor Localization with Bluetooth Low Energy Beacons

    Directory of Open Access Journals (Sweden)

    Yuan Zhuang

    2016-04-01

    Full Text Available Indoor wireless localization using Bluetooth Low Energy (BLE beacons has attracted considerable attention after the release of the BLE protocol. In this paper, we propose an algorithm that uses the combination of channel-separate polynomial regression model (PRM, channel-separate fingerprinting (FP, outlier detection and extended Kalman filtering (EKF for smartphone-based indoor localization with BLE beacons. The proposed algorithm uses FP and PRM to estimate the target’s location and the distances between the target and BLE beacons respectively. We compare the performance of distance estimation that uses separate PRM for three advertisement channels (i.e., the separate strategy with that use an aggregate PRM generated through the combination of information from all channels (i.e., the aggregate strategy. The performance of FP-based location estimation results of the separate strategy and the aggregate strategy are also compared. It was found that the separate strategy can provide higher accuracy; thus, it is preferred to adopt PRM and FP for each BLE advertisement channel separately. Furthermore, to enhance the robustness of the algorithm, a two-level outlier detection mechanism is designed. Distance and location estimates obtained from PRM and FP are passed to the first outlier detection to generate improved distance estimates for the EKF. After the EKF process, the second outlier detection algorithm based on statistical testing is further performed to remove the outliers. The proposed algorithm was evaluated by various field experiments. Results show that the proposed algorithm achieved the accuracy of <2.56 m at 90% of the time with dense deployment of BLE beacons (1 beacon per 9 m, which performs 35.82% better than <3.99 m from the Propagation Model (PM + EKF algorithm and 15.77% more accurate than <3.04 m from the FP + EKF algorithm. With sparse deployment (1 beacon per 18 m, the proposed algorithm achieves the accuracies of <3.88 m at

  2. Image contrast enhancement based on a local standard deviation model

    International Nuclear Information System (INIS)

    Chang, Dah-Chung; Wu, Wen-Rong

    1996-01-01

    The adaptive contrast enhancement (ACE) algorithm is a widely used image enhancement method, which needs a contrast gain to adjust high frequency components of an image. In the literature, the gain is usually inversely proportional to the local standard deviation (LSD) or is a constant. But these cause two problems in practical applications, i.e., noise overenhancement and ringing artifact. In this paper a new gain is developed based on Hunt's Gaussian image model to prevent the two defects. The new gain is a nonlinear function of LSD and has the desired characteristic emphasizing the LSD regions in which details are concentrated. We have applied the new ACE algorithm to chest x-ray images and the simulations show the effectiveness of the proposed algorithm

  3. Character Education Based On Local Wisdom For the Prisoners

    Directory of Open Access Journals (Sweden)

    Muh Sukemi Buchory

    2018-01-01

    Full Text Available This research aims at revealing the existence of character education based on the local wisdom for the prisoners. The subject of this research is the prisoner inhabitant in Wirogunan Prison and Narcotics pakem in Sleman Yogyakarta. The data were gained by interviewing, documenting and demonstrating. The data were analyzed qualitative and quantitative descriptively. The results of this research are: (1 The training of Tembang Maca Pat and Javanese MC are equivalently adapted, (2 The character values being shaped: believe in God, responsibility, respect, fairness, confidence, faithfulness, discipline, careness, spirituality, manners, intelligence, emotion control, character building, the increase of social participants; (3 The competence on Tembang Maca Pat and MC of Javanese can be used as professional earning in society and also can be used as educational model for the prisoners.

  4. Machine Learning Based Localization and Classification with Atomic Magnetometers

    Science.gov (United States)

    Deans, Cameron; Griffin, Lewis D.; Marmugi, Luca; Renzoni, Ferruccio

    2018-01-01

    We demonstrate identification of position, material, orientation, and shape of objects imaged by a Rb 85 atomic magnetometer performing electromagnetic induction imaging supported by machine learning. Machine learning maximizes the information extracted from the images created by the magnetometer, demonstrating the use of hidden data. Localization 2.6 times better than the spatial resolution of the imaging system and successful classification up to 97% are obtained. This circumvents the need of solving the inverse problem and demonstrates the extension of machine learning to diffusive systems, such as low-frequency electrodynamics in media. Automated collection of task-relevant information from quantum-based electromagnetic imaging will have a relevant impact from biomedicine to security.

  5. Hyperspectral image classification based on local binary patterns and PCANet

    Science.gov (United States)

    Yang, Huizhen; Gao, Feng; Dong, Junyu; Yang, Yang

    2018-04-01

    Hyperspectral image classification has been well acknowledged as one of the challenging tasks of hyperspectral data processing. In this paper, we propose a novel hyperspectral image classification framework based on local binary pattern (LBP) features and PCANet. In the proposed method, linear prediction error (LPE) is first employed to select a subset of informative bands, and LBP is utilized to extract texture features. Then, spectral and texture features are stacked into a high dimensional vectors. Next, the extracted features of a specified position are transformed to a 2-D image. The obtained images of all pixels are fed into PCANet for classification. Experimental results on real hyperspectral dataset demonstrate the effectiveness of the proposed method.

  6. From Family Based to Industrial Based Production: Local Economic Development Initiatives and the HELIX Model

    Directory of Open Access Journals (Sweden)

    Bartjan W Pennink

    2013-01-01

    Full Text Available To build a strong local economy, good practice tells us that each community should undertake a collaborative, strategically planned process to understand and then act upon its own strengths, weaknesses, opportunities and threats. From this perspective we start with the local communities but how is this related to the perspective from the Helix model in which three actors are explicitly introduced: the Government, the Industry and the Universities? The purpose of local economic development (LED is to build up the economic capacity of a local area to improve its economic future and the quality of life for all. To support  the Local Economic Development in remote areas,   a program  has been developed based on the LED frame work of the world bank. This approach and  the experiences over  the past years with this program are  described in the first part.  In the second part of the paper, We analyse work done with that program with the help of the social capital concept and the triple helix model.  In all cases it is important to pay attention to who is taken the initiative after the first move (and it is not always the governance as actor and for the triple helix we suggest  that the concepts of (national Government, Industry and University need a translation to Local Governance Agency, Cooperation or other ways of cooperation of local communities and Local Universities. Although a push from outside might help  a local region in development the endogenous factors are  also needed. Keywords: Triple Helix model, Local Economic Development, Local Actors, Double Triangle within the Helix Model

  7. Suitability of Local Resource Management Practices Based on Supernatural Enforcement Mechanisms in the Local Social-cultural Context

    Directory of Open Access Journals (Sweden)

    Masatoshi Sasaoka

    2012-12-01

    Full Text Available Environmental anthropological studies on natural resource management have widely demonstrated and thematized local resource management practices based on the interactions between local people and supernatural agencies and their role in maintaining natural resources. In Indonesia, even though the legal status of local people's right to the forest and forest resources is still weak, the recent transition toward decentralization presents a growing opportunity for local people to collaborate with outsiders such as governmental agencies and environmental nongovernmental organizations in natural resource management. In such situations, in-depth understanding of the value of local resource management practices is needed to promote self-directed and effective resource management. Here, we focus on local forest resource management and its suitability in the local social-cultural context in central Seram, east Indonesia. Local resource management appears to be embedded in the wider social-cultural context of the local communities. However, few intensive case studies in Indonesia have addressed the relationship between the Indigenous resource management practices closely related to a people's belief in supernatural agents and the social-cultural context. We illustrate how the well-structured use of forest resources is established and maintained through these interactions. We then investigate how local resource management practices relate to the social-cultural and natural resources context of an upland community in central Seram and discuss the possible future applications for achieving conservation.

  8. An Efficient Local Correlation Matrix Decomposition Approach for the Localization Implementation of Ensemble-Based Assimilation Methods

    Science.gov (United States)

    Zhang, Hongqin; Tian, Xiangjun

    2018-04-01

    Ensemble-based data assimilation methods often use the so-called localization scheme to improve the representation of the ensemble background error covariance (Be). Extensive research has been undertaken to reduce the computational cost of these methods by using the localized ensemble samples to localize Be by means of a direct decomposition of the local correlation matrix C. However, the computational costs of the direct decomposition of the local correlation matrix C are still extremely high due to its high dimension. In this paper, we propose an efficient local correlation matrix decomposition approach based on the concept of alternating directions. This approach is intended to avoid direct decomposition of the correlation matrix. Instead, we first decompose the correlation matrix into 1-D correlation matrices in the three coordinate directions, then construct their empirical orthogonal function decomposition at low resolution. This procedure is followed by the 1-D spline interpolation process to transform the above decompositions to the high-resolution grid. Finally, an efficient correlation matrix decomposition is achieved by computing the very similar Kronecker product. We conducted a series of comparison experiments to illustrate the validity and accuracy of the proposed local correlation matrix decomposition approach. The effectiveness of the proposed correlation matrix decomposition approach and its efficient localization implementation of the nonlinear least-squares four-dimensional variational assimilation are further demonstrated by several groups of numerical experiments based on the Advanced Research Weather Research and Forecasting model.

  9. Trajectory-Based Visual Localization in Underwater Surveying Missions

    Directory of Open Access Journals (Sweden)

    Antoni Burguera

    2015-01-01

    Full Text Available We present a new vision-based localization system applied to an autonomous underwater vehicle (AUV with limited sensing and computation capabilities. The traditional EKF-SLAM approaches are usually expensive in terms of execution time; the approach presented in this paper strengthens this method by adopting a trajectory-based schema that reduces the computational requirements. The pose of the vehicle is estimated using an extended Kalman filter (EKF, which predicts the vehicle motion by means of a visual odometer and corrects these predictions using the data associations (loop closures between the current frame and the previous ones. One of the most important steps in this procedure is the image registration method, as it reinforces the data association and, thus, makes it possible to close loops reliably. Since the use of standard EKFs entail linearization errors that can distort the vehicle pose estimations, the approach has also been tested using an iterated Kalman filter (IEKF. Experiments have been conducted using a real underwater vehicle in controlled scenarios and in shallow sea waters, showing an excellent performance with very small errors, both in the vehicle pose and in the overall trajectory estimates.

  10. Trajectory-Based Visual Localization in Underwater Surveying Missions

    Science.gov (United States)

    Burguera, Antoni; Bonin-Font, Francisco; Oliver, Gabriel

    2015-01-01

    We present a new vision-based localization system applied to an autonomous underwater vehicle (AUV) with limited sensing and computation capabilities. The traditional EKF-SLAM approaches are usually expensive in terms of execution time; the approach presented in this paper strengthens this method by adopting a trajectory-based schema that reduces the computational requirements. The pose of the vehicle is estimated using an extended Kalman filter (EKF), which predicts the vehicle motion by means of a visual odometer and corrects these predictions using the data associations (loop closures) between the current frame and the previous ones. One of the most important steps in this procedure is the image registration method, as it reinforces the data association and, thus, makes it possible to close loops reliably. Since the use of standard EKFs entail linearization errors that can distort the vehicle pose estimations, the approach has also been tested using an iterated Kalman filter (IEKF). Experiments have been conducted using a real underwater vehicle in controlled scenarios and in shallow sea waters, showing an excellent performance with very small errors, both in the vehicle pose and in the overall trajectory estimates. PMID:25594602

  11. Including Emotional Intelligence in Pharmacy Curricula to Help Achieve CAPE Outcomes.

    Science.gov (United States)

    Nelson, Michael H; Fierke, Kerry K; Sucher, Brandon J; Janke, Kristin K

    2015-05-25

    The importance of emotional intelligence (EI) for effective teamwork and leadership within the workplace is increasingly apparent. As suggested by the 2013 CAPE Outcomes, we recommend that colleges and schools of pharmacy consider EI-related competencies to build self-awareness and professionalism among students. In this Statement, we provide two examples of the introduction of EI into pharmacy curricula. In addition, we provide a 4-phase process based on recommendations developed by EI experts for structuring and planning EI development. Finally, we make 9 recommendations' to inform the process of including EI in pharmacy curricula.

  12. Training in radiological protection: Curricula and programming

    International Nuclear Information System (INIS)

    1964-01-01

    An important activity of the International Atomic Energy Agency is the promotion of training in radiological protection. Through its organized training courses, its fellowship training programme and its field experts, the Agency has assisted many Member States to train an essential group of scientists in radiological protection. Many Member States are now developing their own national training programmes in radiological protection and this report has been prepared to provide the guidance that may be required in this development. In the report the various types of training which are encountered in a radiological protection programme are fully discussed, curricula are suggested and examples of established training courses are annexed

  13. Comparison of Subset-Based Local and Finite Element-Based Global Digital Image Correlation

    KAUST Repository

    Pan, Bing

    2015-02-12

    Digital image correlation (DIC) techniques require an image matching algorithm to register the same physical points represented in different images. Subset-based local DIC and finite element-based (FE-based) global DIC are the two primary image matching methods that have been extensively investigated and regularly used in the field of experimental mechanics. Due to its straightforward implementation and high efficiency, subset-based local DIC has been used in almost all commercial DIC packages. However, it is argued by some researchers that FE-based global DIC offers better accuracy because of the enforced continuity between element nodes. We propose a detailed performance comparison between these different DIC algorithms both in terms of measurement accuracy and computational efficiency. Then, by measuring displacements of the same calculation points using the same calculation algorithms (e.g., correlation criterion, initial guess estimation, subpixel interpolation, optimization algorithm and convergence conditions) and identical calculation parameters (e.g., subset or element size), the performances of subset-based local DIC and two FE-based global DIC approaches are carefully compared in terms of measurement error and computational efficiency using both numerical tests and real experiments. A detailed examination of the experimental results reveals that, when subset (element) size is not very small and the local deformation within a subset (element) can be well approximated by the shape function used, standard subset-based local DIC approach not only provides better results in measured displacements, but also demonstrates much higher computation efficiency. However, several special merits of FE-based global DIC approaches are indicated.

  14. Comparison of Subset-Based Local and Finite Element-Based Global Digital Image Correlation

    KAUST Repository

    Pan, Bing; Wang, B.; Lubineau, Gilles; Moussawi, Ali

    2015-01-01

    Digital image correlation (DIC) techniques require an image matching algorithm to register the same physical points represented in different images. Subset-based local DIC and finite element-based (FE-based) global DIC are the two primary image matching methods that have been extensively investigated and regularly used in the field of experimental mechanics. Due to its straightforward implementation and high efficiency, subset-based local DIC has been used in almost all commercial DIC packages. However, it is argued by some researchers that FE-based global DIC offers better accuracy because of the enforced continuity between element nodes. We propose a detailed performance comparison between these different DIC algorithms both in terms of measurement accuracy and computational efficiency. Then, by measuring displacements of the same calculation points using the same calculation algorithms (e.g., correlation criterion, initial guess estimation, subpixel interpolation, optimization algorithm and convergence conditions) and identical calculation parameters (e.g., subset or element size), the performances of subset-based local DIC and two FE-based global DIC approaches are carefully compared in terms of measurement error and computational efficiency using both numerical tests and real experiments. A detailed examination of the experimental results reveals that, when subset (element) size is not very small and the local deformation within a subset (element) can be well approximated by the shape function used, standard subset-based local DIC approach not only provides better results in measured displacements, but also demonstrates much higher computation efficiency. However, several special merits of FE-based global DIC approaches are indicated.

  15. Document localization algorithms based on feature points and straight lines

    Science.gov (United States)

    Skoryukina, Natalya; Shemiakina, Julia; Arlazarov, Vladimir L.; Faradjev, Igor

    2018-04-01

    The important part of the system of a planar rectangular object analysis is the localization: the estimation of projective transform from template image of an object to its photograph. The system also includes such subsystems as the selection and recognition of text fields, the usage of contexts etc. In this paper three localization algorithms are described. All algorithms use feature points and two of them also analyze near-horizontal and near- vertical lines on the photograph. The algorithms and their combinations are tested on a dataset of real document photographs. Also the method of localization quality estimation is proposed that allows configuring the localization subsystem independently of the other subsystems quality.

  16. The Cellular Differential Evolution Based on Chaotic Local Search

    Directory of Open Access Journals (Sweden)

    Qingfeng Ding

    2015-01-01

    Full Text Available To avoid immature convergence and tune the selection pressure in the differential evolution (DE algorithm, a new differential evolution algorithm based on cellular automata and chaotic local search (CLS or ccDE is proposed. To balance the exploration and exploitation tradeoff of differential evolution, the interaction among individuals is limited in cellular neighbors instead of controlling parameters in the canonical DE. To improve the optimizing performance of DE, the CLS helps by exploring a large region to avoid immature convergence in the early evolutionary stage and exploiting a small region to refine the final solutions in the later evolutionary stage. What is more, to improve the convergence characteristics and maintain the population diversity, the binomial crossover operator in the canonical DE may be instead by the orthogonal crossover operator without crossover rate. The performance of ccDE is widely evaluated on a set of 14 bound constrained numerical optimization problems compared with the canonical DE and several DE variants. The simulation results show that ccDE has better performances in terms of convergence rate and solution accuracy than other optimizers.

  17. Bearing Fault Diagnosis Based on Statistical Locally Linear Embedding.

    Science.gov (United States)

    Wang, Xiang; Zheng, Yuan; Zhao, Zhenzhou; Wang, Jinping

    2015-07-06

    Fault diagnosis is essentially a kind of pattern recognition. The measured signal samples usually distribute on nonlinear low-dimensional manifolds embedded in the high-dimensional signal space, so how to implement feature extraction, dimensionality reduction and improve recognition performance is a crucial task. In this paper a novel machinery fault diagnosis approach based on a statistical locally linear embedding (S-LLE) algorithm which is an extension of LLE by exploiting the fault class label information is proposed. The fault diagnosis approach first extracts the intrinsic manifold features from the high-dimensional feature vectors which are obtained from vibration signals that feature extraction by time-domain, frequency-domain and empirical mode decomposition (EMD), and then translates the complex mode space into a salient low-dimensional feature space by the manifold learning algorithm S-LLE, which outperforms other feature reduction methods such as PCA, LDA and LLE. Finally in the feature reduction space pattern classification and fault diagnosis by classifier are carried out easily and rapidly. Rolling bearing fault signals are used to validate the proposed fault diagnosis approach. The results indicate that the proposed approach obviously improves the classification performance of fault pattern recognition and outperforms the other traditional approaches.

  18. Localized Ambient Solidity Separation Algorithm Based Computer User Segmentation

    Science.gov (United States)

    Sun, Xiao; Zhang, Tongda; Chai, Yueting; Liu, Yi

    2015-01-01

    Most of popular clustering methods typically have some strong assumptions of the dataset. For example, the k-means implicitly assumes that all clusters come from spherical Gaussian distributions which have different means but the same covariance. However, when dealing with datasets that have diverse distribution shapes or high dimensionality, these assumptions might not be valid anymore. In order to overcome this weakness, we proposed a new clustering algorithm named localized ambient solidity separation (LASS) algorithm, using a new isolation criterion called centroid distance. Compared with other density based isolation criteria, our proposed centroid distance isolation criterion addresses the problem caused by high dimensionality and varying density. The experiment on a designed two-dimensional benchmark dataset shows that our proposed LASS algorithm not only inherits the advantage of the original dissimilarity increments clustering method to separate naturally isolated clusters but also can identify the clusters which are adjacent, overlapping, and under background noise. Finally, we compared our LASS algorithm with the dissimilarity increments clustering method on a massive computer user dataset with over two million records that contains demographic and behaviors information. The results show that LASS algorithm works extremely well on this computer user dataset and can gain more knowledge from it. PMID:26221133

  19. FIB-based measurement of local residual stresses on microsystems

    Science.gov (United States)

    Vogel, Dietmar; Sabate, Neus; Gollhardt, Astrid; Keller, Juergen; Auersperg, Juergen; Michel, Bernd

    2006-03-01

    The paper comprises research results obtained for stress determination on micro and nanotechnology components. It meets the concern of controlling stresses introduced to sensors, MEMS and electronics devices during different micromachining processes. The method bases on deformation measurement options made available inside focused ion beam equipment. Removing locally material by ion beam milling existing stresses / residual stresses lead to deformation fields around the milled feature. Digital image correlation techniques are used to extract deformation values from micrographs captured before and after milling. In the paper, two main milling features have been analyzed - through hole and through slit milling. Analytical solutions for stress release fields of in-plane stresses have been derived and compared to respective experimental findings. Their good agreement allows to settle a method for determination of residual stress values, which is demonstrated for thin membranes manufactured by silicon micro technology. Some emphasis is made on the elimination of main error sources for stress determination, like rigid body object displacements and rotations due to drifts of experimental conditions under FIB imaging. In order to illustrate potential application areas of the method residual stress suppression by ion implantation is evaluated by the method and reported here.

  20. Incorporating technical analysis in undergraduate curricula

    Directory of Open Access Journals (Sweden)

    Michael R. Melton

    2017-11-01

    Full Text Available Purpose – The purpose of this paper is to introduce instruction of technical analysis on the undergraduate level that can coincide with traditional teachings of fundamental analysis. Design/methodology/approach – Through examples using the latest in security analysis technology, this paper illustrates the importance of technical security analysis. Findings – This research illustrates how technical analysis techniques may be used to make more significant investment decisions. Originality/value – Kirkpatrick and Dahlquist define technical analysis as a security analysis discipline for forecasting future direction of prices through the study of past market data primarily price and volume This form of analysis has stood in direct contrast to the fundamental analysis approach whereby actual facts of the company its industry and sector may be ignored. Understanding this contrast, much of academia has chosen to continue to focus its finance curricula on fundamental analysis techniques. As more universities implement trading rooms to reflect that of industry, they must recognize that any large brokerage trading group or financial institution will typically have both a technical analysis and fundamental analysis team. Thus, the need to incorporate technical analysis into undergraduate finance curricula.

  1. Using the SOLO Taxonomy to Analyze Competence Progression of University Science Curricula

    Science.gov (United States)

    Brabrand, Claus; Dahl, Bettina

    2009-01-01

    During 2007 all Danish university curricula were reformulated to explicitly state course objectives due to the adoption of a new Danish national grading scale which stipulated that grades were to be given based on how well students meet explicit course objectives. The Faculties of Science at University of Aarhus and University of Southern Denmark…

  2. Tale of Two Curricula: The Performance of 2000 Students in Introductory Electromagnetism

    Science.gov (United States)

    Kohlmyer, Matthew A.; Caballero, Marcos D.; Catrambone, Richard; Chabay, Ruth W.; Ding, Lin; Haugan, Mark P.; Marr, M. Jackson; Sherwood, Bruce A.; Schatz, Michael F.

    2009-01-01

    The performance of over 2000 students in introductory calculus-based electromagnetism (E&M) courses at four large research universities was measured using the Brief Electricity and Magnetism Assessment (BEMA). Two different curricula were used at these universities: a traditional E&M curriculum and the Matter & Interactions (M&I)…

  3. The New Curricula: How Media Literacy Education Transforms Teaching and Learning

    Science.gov (United States)

    Jolls, Tessa

    2015-01-01

    As new online and cellular technologies advance, the implications for the traditional textbook model of curricular instruction are profound. The ability to construct, share, collaborate on and publish new instructional materials marks the beginning of a global revolution in curricula development. Research-based media literacy frameworks can be…

  4. Computer Science in K-12 School Curricula of the 2lst Century: Why, What and When?

    Science.gov (United States)

    Webb, Mary; Davis, Niki; Bell, Tim; Katz, Yaacov J.; Reynolds, Nicholas; Chambers, Dianne P.; Syslo, Maciej M.

    2017-01-01

    In this paper we have examined the position and roles of Computer Science in curricula in the light of recent calls for curriculum change and we have proposed principles and issues to consider in curriculum design as well as identifying priority areas for further research. The paper is based on discussions within and beyond the International…

  5. Integrating Entrepreneurship Education across University-Wide Curricula: The Case of Two Public Universities in Tanzania

    Science.gov (United States)

    Kalimasi, Perpetua Joseph; Herman, Chaya

    2016-01-01

    This qualitative case study explores the integration of entrepreneurship education (EE) across the curricula in two public universities in Tanzania. Based on Shapero's model of the entrepreneurial event, the feasibility and desirability of EE in the selected universities are analysed. In-depth interviews and document analysis were used for data…

  6. Local Knowledge and Community–Based Assessment of ...

    African Journals Online (AJOL)

    Agribotix GCS 077

    Rural Appraisal (PRA) methods were employed for data collection and ..... diversity and provide a foundation for locally-appropriate sustainable ..... vegetation was a good habitat for wildlife and one could find daily traces of .... indicators including fruiting of certain local trees, appearance of certain types of frogs and birds,.

  7. Visual-based simultaneous localization and mapping and global positioning system correction for geo-localization of a mobile robot

    International Nuclear Information System (INIS)

    Berrabah, Sid Ahmed; Baudoin, Yvan; Sahli, Hichem

    2011-01-01

    This paper introduces an approach combining visual-based simultaneous localization and mapping (V-SLAM) and global positioning system (GPS) correction for accurate multi-sensor localization of an outdoor mobile robot in geo-referenced maps. The proposed framework combines two extended Kalman filters (EKF); the first one, referred to as the integration filter, is dedicated to the improvement of the GPS localization based on data from an inertial navigation system and wheels' encoders. The second EKF implements the V-SLAM process. The linear and angular velocities in the dynamic model of the V-SLAM EKF filter are given by the GPS/INS/Encoders integration filter. On the other hand, the output of the V-SLAM EKF filter is used to update the dynamics estimation in the integration filter and therefore the geo-referenced localization. This solution increases the accuracy and the robustness of the positioning during GPS outage and allows SLAM in less featured environments

  8. Experiencing the Implementation of New Inquiry Science Curricula

    Science.gov (United States)

    Ower, Peter S.

    Using a phenomenological methodology, a cohort of four experienced science teachers was interviewed about their experience transitioning from traditional, teacher and fact-centered science curricula to inquiry-based curricula. Each teacher participated in two interviews that focused on their teaching backgrounds, their experience teaching the prior traditional curriculum, and their experience teaching the new inquiry-based curriculum. The findings are presented as a narrative of each teachers' experience with the new curriculum implementation. Analyzing the data revealed four key themes. 1) The teachers felt trapped by the old curriculum as it did not align with their positive views of teaching science through inquiry. 2) The teachers found a way to fit their beliefs and values into the old and new curriculum. This required changes to the curriculum. 3) The teachers attempted to make the science curriculum as meaningful as possible for their students. 4) The teachers experienced a balancing act between their beliefs and values and the various aspects of the curriculum. The revealed essence of the curriculum transition is one of freedom and reconciliation of their beliefs. The teachers experienced the implementation of the new curriculum as a way to ensure their values and beliefs of science education were embedded therein. They treated the new curriculum as a malleable structure to impart their grander ideas of science education (e.g. providing important skills for future careers, creating a sense of wonder, future problem solving) to the students. Their changes were aligned with the philosophy of the curriculum kits they were implementing. Thus, the fidelity of the curriculum's philosophy was not at risk even though the curriculum kits were not taught as written. This study showed that phenomenological methods are able to reveal the relationship between a teacher's prior experiences, values and beliefs and their current instructional philosophy in science

  9. Resonance fluorescence based two- and three-dimensional atom localization

    Science.gov (United States)

    Wahab, Abdul; Rahmatullah; Qamar, Sajid

    2016-06-01

    Two- and three-dimensional atom localization in a two-level atom-field system via resonance fluorescence is suggested. For the two-dimensional localization, the atom interacts with two orthogonal standing-wave fields, whereas for the three-dimensional atom localization, the atom interacts with three orthogonal standing-wave fields. The effect of the detuning and phase shifts associated with the corresponding standing-wave fields is investigated. A precision enhancement in position measurement of the single atom can be noticed via the control of the detuning and phase shifts.

  10. Graph-Based Cooperative Localization Using Symmetric Measurement Equations.

    Science.gov (United States)

    Gulati, Dhiraj; Zhang, Feihu; Clarke, Daniel; Knoll, Alois

    2017-06-17

    Precise localization is a key requirement for the success of highly assisted or autonomous vehicles. The diminishing cost of hardware has resulted in a proliferation of the number of sensors in the environment. Cooperative localization (CL) presents itself as a feasible and effective solution for localizing the ego-vehicle and its neighboring vehicles. However, one of the major challenges to fully realize the effective use of infrastructure sensors for jointly estimating the state of a vehicle in cooperative vehicle-infrastructure localization is an effective data association. In this paper, we propose a method which implements symmetric measurement equations within factor graphs in order to overcome the data association challenge with a reduced bandwidth overhead. Simulated results demonstrate the benefits of the proposed approach in comparison with our previously proposed approach of topology factors.

  11. Local Knowledge and Community–Based Assessment of ...

    African Journals Online (AJOL)

    Although much scientific knowledge exists about global environmental ... to an understanding of local knowledge on environmental change through Community Risk ... Rural Appraisal (PRA) methods were employed for data collection and ...

  12. Localization of Wheeled Mobile Robot Based on Extended Kalman Filtering

    Directory of Open Access Journals (Sweden)

    Li Guangxu

    2015-01-01

    Full Text Available A mobile robot localization method which combines relative positioning with absolute orientation is presented. The code salver and gyroscope are used for relative positioning, and the laser radar is used to detect absolute orientation. In this paper, we established environmental map, multi-sensor information fusion model, sensors and robot motion model. The Extended Kalman Filtering (EKF is adopted as multi-sensor data fusion technology to realize the precise localization of wheeled mobile robot.

  13. Hidden in plain sight: the formal, informal, and hidden curricula of a psychiatry clerkship.

    Science.gov (United States)

    Wear, Delese; Skillicorn, Jodie

    2009-04-01

    To examine perceptions of the formal, informal, and hidden curricula in psychiatry as they are observed and experienced by (1) attending physicians who have teaching responsibilities for residents and medical students, (2) residents who are taught by those same physicians and who have teaching responsibilities for medical students, and (3) medical students who are taught by attendings and residents during their psychiatry rotation. From June to November 2007, the authors conducted focus groups with attendings, residents, and students in one midwestern academic setting. The sessions were audiotaped, transcribed, and analyzed for themes surrounding the formal, informal, and hidden curricula. All three groups offered a similar belief that the knowledge, skills, and values of the formal curriculum focused on building relationships. Similarly, all three suggested that elements of the informal and hidden curricula were expressed primarily as the values arising from attendings' role modeling, as the nature and amount of time attendings spend with patients, and as attendings' advice arising from experience and intuition versus "textbook learning." Whereas students and residents offered negative values arising from the informal and hidden curricula, attendings did not, offering instead the more positive values they intended to encourage through the informal and hidden curricula. The process described here has great potential in local settings across all disciplines. Asking teachers and learners in any setting to think about how they experience the educational environment and what sense they make of all curricular efforts can provide a reality check for educators and a values check for learners as they critically reflect on the meanings of what they are learning.

  14. Assessing the Curricula of Political Sciences’ Programs at the Palestinian Universities in Accordance with the Academic Standards of Political Sciences

    Directory of Open Access Journals (Sweden)

    Alaa H. A . Aburedwan

    2017-11-01

    Full Text Available The study aimed at answering the following key question: Are academic standards of political sciences fulfilled in the curricula of political science programs at the Palestinian universities? Accordingly, the study included a theoretical section that explained the basic concepts of quality in education, and some international experiences adopted for quality assurance of political sciences programs. Then the study analyzed, according to the standard criteria, the curricula of four departments that grant a bachelor's degree in political sciences, based on information published on the departments’ sites on the internet, and according to the academic guidebook of each department. The study concluded that the mission and objectives of three departments are clear, while the findings of the analysis showed that there is mismatch of requirements in the Palestinian curricula with academic standards. Most programs are rich with major materials, but need a little adjustment to conform to the standards. The findings also showed a number of negative points in study plans, which do not contain enough credit hours for scientific research, computer applications, and field training, while they have extra credit hours for university requirements. The study made several recommendations to address the problems of the curricula, including: Inviting departments to form committees to ensure quality, to modify the curricula, and develop it in accordance with international standards. Keywords: Academic program, Academic standards, Curricula assessment, Political sciences.

  15. Mathematical Content of Curricula and Beginning Salaries of Graduating Students

    Science.gov (United States)

    Lee, B. Brian; Lee, Jungsun

    2009-01-01

    The authors examined an association between mathematical content in college-level curricula and beginning salaries of graduating students on the basis of data collected from a public university in the southern region of the United States. The authors classified the mathematical content requirements of the curricula into the following 5 groups…

  16. The Use and Misuse of Pleasure in Sex Education Curricula

    Science.gov (United States)

    Lamb, Sharon; Lustig, Kara; Graling, Kelly

    2013-01-01

    Since Michelle Fine's writing on the missing discourse of desire in sex education, there has been considerable prompting among sexuality educators and feminist scholars to incorporate talk of pleasure into sex education curricula. While the calls for inclusion continue, few have actually examined the curricula for a pleasure discourse or…

  17. Mixed Images and Merging Semantics in European Curricula

    Science.gov (United States)

    Sivesind, Kirsten

    2013-01-01

    Due to European agreements and policy expectations, national authorities are revising their formal curricula in line with an evidence-oriented policy. The article explores how new trends in formulating curricula can be regarded as an outcome of experts' semantics and impact on education policy. The article reanalyses documentation from a project,…

  18. Information Architecture in Library and Information Science Curricula.

    Science.gov (United States)

    Robins, David

    2002-01-01

    Discusses how information architecture is being handled in some library and information science (LIS) programs and suggests mappings between traditional LIS curricula and the marketplace for information architects. Topics include terminology used in LIS curricula; current job opportunities; and projections for the future. (LRW)

  19. Educating Academic Staff to Reorient Curricula in ESD

    Science.gov (United States)

    Biasutti, Michele; Makrakis, Vassilios; Concina, Eleonora; Frate, Sara

    2018-01-01

    Purpose: The purpose of this paper is to present a professional development experience for higher education academic staff within the framework of an international Tempus project focused on reorienting university curricula to address sustainability. The project included revising curricula to phase sustainable development principles into university…

  20. Do occupational therapy and physical therapy curricula teach critical thinking skills?

    Science.gov (United States)

    Vogel, Kimberly A; Geelhoed, Michael; Grice, Kimatha O; Murphy, Douglas

    2009-01-01

    This study evaluated whether critical thinking ability can be improved through participation in occupational therapy (OT) and physical therapy (PT) curricula. The researchers compared levels of the critical thinking skills of OT and PT students at the beginning and end of their programs to determine whether changes occurred and to examine facets of the curricula that may have caused the differences. The curricula include teaching strategies of problem-based learning modules, small group discussion and problem-solving, case studies, clinical observation, and evidence-based practice assignments, as well as teaching about critical thinking as a process in itself. Fifty OT and PT students completed the Watson-Glaser Critical Thinking Appraisal at the beginning and end of 20 mos of the academic phase of their master's degree programs. Researchers analyzed the data using a one-way repeated-measures ANOVA. Results showed no differences between OT and PT students on the pretest or post-test and no differences for PT students between the pretest and post-test. OT students' scores increased significantly from pretest to post-test. The influence of the timing of teaching critical thinking skills in the resulting differences between the two curricula, as well as the validity of the Watson-Glaser Critical Thinking Appraisal is a valid measure of critical thinking changes in allied health students are discussed.

  1. National standards for high school psychology curricula.

    Science.gov (United States)

    2013-01-01

    The National Standards for High School Psychology Curricula attempts to represent current knowledge in the field of psychology in developmentally appropriate ways. Psychology is a popular high school course, one that can introduce students to scientific ideas and engage students in the learning process. However, it is difficult for even the best of teachers to present all of psychology in a single course for students who begin with virtually no formal knowledge of psychology. The standards presented here constitute the first of two reports in this issue of the American Psychologist (January 2013) representing recent American Psychological Association (APA) policies that support high-quality instruction in the teaching of high school psychology. These standards provide curricular benchmarks for student learning in the high school course.

  2. Gerontology course in the nursing undergraduate curricula

    Directory of Open Access Journals (Sweden)

    Samira AlSenany

    2014-12-01

    Full Text Available Objective To explores nursing faculty members’ attitudes towards older people, their thoughts about gerontological nursing education. Method Five focus groups and a survey were used with nursing faculty members 132 at the three nursing schools to explore their attitudes towards the care of older people and the perceived status of gerontological nursing education. The survey was given to 132 faculty members, including 76 clinical instructors, 40 associate professors and 16 professors. The nursing faculty in general had a positive attitude toward older people (M=3.36, SD 0.25, and teachers’ attitudes were higher than those of their nursing students (M=3.18, SD0.29. Results This study results suggests that Saudi nursing curricula should include more extensive gerontology content and clinical experience with older people. Conclusion This is the first time in Saudi Arabia that research has listened to their voices and examined their commitments toward gerontology education.

  3. Conversion to biofuel based heating systems - local environmental effects

    International Nuclear Information System (INIS)

    Jonsson, Anna

    2003-01-01

    One of the most serious environmental problems today is the global warming, i.e.climate changes caused by emissions of greenhouse gases. The greenhouse gases originate from combustion of fossil fuels and changes the atmospheric composition. As a result of the climate change, the Swedish government has decided to make a changeover of the Swedish energy system. This involves an increase of the supply of electricity and heating from renewable energy sources and a decrease in the amount electricity used for heating, as well as a more efficient use of the existing electricity system. Today, a rather large amount electricity is used for heating in Sweden. Furthermore, nuclear power will be phased out by the year 2010 in Sweden. Bio fuels are a renewable energy source and a conceivable alternative to the use of fossil fuels. Therefore, an increase of bio fuels will be seen the coming years. Bio fuels have a lot of environmental advantages, mainly for the global environment, but might also cause negative impacts such as depletion of the soils where the biomass is grown and local deterioration of the air quality where the bio fuels are combusted. These negative impacts are a result of the use of wrong techniques and a lack of knowledge and these factors have to be improved if the increase of the use of bio fuels is to be made effectively. The aim of this master thesis is to evaluate the possibilities for heating with bio fuel based systems in housing areas in the municipalities of Trollhaettan, Ulricehamn and Goetene in Vaestra Goetalands County in the South West of Sweden and to investigate which environmental and health effects are caused by the conversion of heating systems. The objective is to use the case studies as examples on preferable bio fuel based heating systems in different areas, and to what environmental impact this conversion of heating systems might cause. The housing areas for this study have been chosen on the basis of present heating system, one area

  4. Local and Global Gestalt Laws: A Neurally Based Spectral Approach.

    Science.gov (United States)

    Favali, Marta; Citti, Giovanna; Sarti, Alessandro

    2017-02-01

    This letter presents a mathematical model of figure-ground articulation that takes into account both local and global gestalt laws and is compatible with the functional architecture of the primary visual cortex (V1). The local gestalt law of good continuation is described by means of suitable connectivity kernels that are derived from Lie group theory and quantitatively compared with long-range connectivity in V1. Global gestalt constraints are then introduced in terms of spectral analysis of a connectivity matrix derived from these kernels. This analysis performs grouping of local features and individuates perceptual units with the highest salience. Numerical simulations are performed, and results are obtained by applying the technique to a number of stimuli.

  5. Novel active contour model based on multi-variate local Gaussian distribution for local segmentation of MR brain images

    Science.gov (United States)

    Zheng, Qiang; Li, Honglun; Fan, Baode; Wu, Shuanhu; Xu, Jindong

    2017-12-01

    Active contour model (ACM) has been one of the most widely utilized methods in magnetic resonance (MR) brain image segmentation because of its ability of capturing topology changes. However, most of the existing ACMs only consider single-slice information in MR brain image data, i.e., the information used in ACMs based segmentation method is extracted only from one slice of MR brain image, which cannot take full advantage of the adjacent slice images' information, and cannot satisfy the local segmentation of MR brain images. In this paper, a novel ACM is proposed to solve the problem discussed above, which is based on multi-variate local Gaussian distribution and combines the adjacent slice images' information in MR brain image data to satisfy segmentation. The segmentation is finally achieved through maximizing the likelihood estimation. Experiments demonstrate the advantages of the proposed ACM over the single-slice ACM in local segmentation of MR brain image series.

  6. Genetic diversity of Ghanaian local chicken populations based on ...

    African Journals Online (AJOL)

    In Ghana, local chickens are raised across distinct agro-ecological zones and constitute unique populations with variable phenotypes that need to be characterized to provide needed information for the conservation of useful genotypes against future needs. In particular, the Interior Savannah (GHIS) in the north, the Forest ...

  7. Measurement-based local quantum filters and their ability to ...

    Indian Academy of Sciences (India)

    Debmalya Das

    2017-05-30

    May 30, 2017 ... Entanglement; local filters; quantum measurement. PACS No. 03.65 ... ties [4,5], it also plays a key role in quantum computing where it is ... Furthermore, we pro- vide an ..... Corresponding to each of these vectors, we can con-.

  8. Measurement-based local quantum filters and their ability to ...

    Indian Academy of Sciences (India)

    Debmalya Das

    Berhampur (Transit Campus), National Highway 59, Berhampur 760 010, India. ∗. Corresponding author. E-mail: arvind@iisermohali.ac.in. MS received 29 July 2016; revised 21 October 2016; accepted 16 December 2016; published online 30 May 2017. Abstract. We introduce local filters as a means to detect the ...

  9. Spectrum-based Fault Localization in Embedded Software

    NARCIS (Netherlands)

    Abreu, R.

    2009-01-01

    Locating software components that are responsible for observed failures is a time-intensive and expensive phase in the software development cycle. Automatic fault localization techniques aid developers/testers in pinpointing the root cause of software failures, as such reducing the debugging effort.

  10. A special purpose knowledge-based face localization method

    Science.gov (United States)

    Hassanat, Ahmad; Jassim, Sabah

    2008-04-01

    This paper is concerned with face localization for visual speech recognition (VSR) system. Face detection and localization have got a great deal of attention in the last few years, because it is an essential pre-processing step in many techniques that handle or deal with faces, (e.g. age, face, gender, race and visual speech recognition). We shall present an efficient method for localization human's faces in video images captured on mobile constrained devices, under a wide variation in lighting conditions. We use a multiphase method that may include all or some of the following steps starting with image pre-processing, followed by a special purpose edge detection, then an image refinement step. The output image will be passed through a discrete wavelet decomposition procedure, and the computed LL sub-band at a certain level will be transformed into a binary image that will be scanned by using a special template to select a number of possible candidate locations. Finally, we fuse the scores from the wavelet step with scores determined by color information for the candidate location and employ a form of fuzzy logic to distinguish face from non-face locations. We shall present results of large number of experiments to demonstrate that the proposed face localization method is efficient and achieve high level of accuracy that outperforms existing general-purpose face detection methods.

  11. Local and global trust based on the concept of promises

    NARCIS (Netherlands)

    Bergstra, J.; Burgess, M.

    2009-01-01

    We use the notion of a promise to define local trust between agents possessing autonomous decision-making. An agent is trustworthy if it is expected that it will keep a promise. This definition satisfies most commonplace meanings of trust. Reputation is then an estimation of this expectation value

  12. Localization and Communication for UWB-based Wireless Sensor Networks

    NARCIS (Netherlands)

    Wang, Y.

    2011-01-01

    The great demand for location-aware wireless sensor networks (WSNs) motivates the research in this thesis. The unique characteristics of WSNs impose numerous challenges on localization and communication. In this thesis, we handle some key challenges and provide affordable solutions. Impulse radio

  13. High-resolution biosensor based on localized surface plasmons

    Czech Academy of Sciences Publication Activity Database

    Piliarik, Marek; Šípová, Hana; Kvasnička, Pavel; Galler, N.; Krenn, J. R.; Homola, Jiří

    2012-01-01

    Roč. 20, č. 1 (2012), s. 672-680 ISSN 1094-4087 R&D Projects: GA AV ČR KAN200670701; GA MŠk OC09058 Institutional research plan: CEZ:AV0Z20670512 Keywords : optical biosenzor * surface plasmon resonance * localized surface plasmon Subject RIV: JA - Electronics ; Optoelectronics, Electrical Engineering Impact factor: 3.546, year: 2012

  14. Local energy developments based on spatial and systemic approaches

    NARCIS (Netherlands)

    Manickam, Anu

    Local energy developments from a spatial and systemic approach are highlighted using examples from a Dutch case study. Developments in energy systems included interconnectedness of contextual factors and systems responses. The need to explore both the contextual factors and systemic aspects are

  15. Fast subcellular localization by cascaded fusion of signal-based and homology-based methods

    Directory of Open Access Journals (Sweden)

    Wang Wei

    2011-10-01

    Full Text Available Abstract Background The functions of proteins are closely related to their subcellular locations. In the post-genomics era, the amount of gene and protein data grows exponentially, which necessitates the prediction of subcellular localization by computational means. Results This paper proposes mitigating the computation burden of alignment-based approaches to subcellular localization prediction by a cascaded fusion of cleavage site prediction and profile alignment. Specifically, the informative segments of protein sequences are identified by a cleavage site predictor using the information in their N-terminal shorting signals. Then, the sequences are truncated at the cleavage site positions, and the shortened sequences are passed to PSI-BLAST for computing their profiles. Subcellular localization are subsequently predicted by a profile-to-profile alignment support-vector-machine (SVM classifier. To further reduce the training and recognition time of the classifier, the SVM classifier is replaced by a new kernel method based on the perturbational discriminant analysis (PDA. Conclusions Experimental results on a new dataset based on Swiss-Prot Release 57.5 show that the method can make use of the best property of signal- and homology-based approaches and can attain an accuracy comparable to that achieved by using full-length sequences. Analysis of profile-alignment score matrices suggest that both profile creation time and profile alignment time can be reduced without significant reduction in subcellular localization accuracy. It was found that PDA enjoys a short training time as compared to the conventional SVM. We advocate that the method will be important for biologists to conduct large-scale protein annotation or for bioinformaticians to perform preliminary investigations on new algorithms that involve pairwise alignments.

  16. An international strategic plan to preserve and restore vision: four curricula of ophthalmic education.

    Science.gov (United States)

    Tso, Mark O M; Goldberg, Morton F; Lee, Andrew G; Selvarajah, Sivaguru; Parrish, Richard K; Zagorski, Zbigniew

    2007-05-01

    To highlight the four International Curricula of Ophthalmic Education developed by the Task Forces of the International Council of Ophthalmology, published in Klinische Monatsblätter für Augenheilkunde in November 2006. A global perspective of developing educational curricula as tools to improve eye care. Review of the experience and conclusions of the four international panels. The Task Force on Resident and Specialist Education developed a curriculum consisting of 15 topics in basic, standard, and advanced levels to provide flexibility of educational programs of the ophthalmic specialist in different locations across the world. The curricula were designed to be an educational tool to stimulate multiple levels of training of the ophthalmic specialist. The Task Force on Ophthalmic Education of Medical Students designed a curriculum covering 11 topics and provides illustrative materials for teachers and students. The Task Force strongly advocates the ophthalmology curriculum to be part of the core program of general medical schools education. The Task Force on Para-ophthalmic Vision Specialist Education developed a curriculum to highlight the importance of a team approach to eye care, consisting of ophthalmic specialists and paraophthalmic personnel to produce maximum efficiency. The Task Force on Continuing Medical Education (CME) designed a curriculum exploring the principles, elements, categories, and administration of CME activities in a variety of topics. These curricula shifted the traditional apprentice system of education to a curriculum-based training program in which goals, expectations, competencies, and technical training are defined to improve eye care worldwide.

  17. Decolonising medical curricula through diversity education: lessons from students.

    Science.gov (United States)

    Nazar, Mahdi; Kendall, Kathleen; Day, Lawrence; Nazar, Hamde

    2015-04-01

    The General Medical Council (GMC) expects that medical students graduate with an awareness of how the diversity of the patient population may affect health outcomes and behaviours. However, little guidance has been provided on how to incorporate diversity teaching into medical school curricula. Research highlights the existence of two different models within medical education: cultural competency and cultural humility. The Southampton medical curriculum includes both models in its diversity teaching, but little was known about which model was dominant or about the students' experience. Fifteen semi-structured, in-depth interviews were carried out with medical students at the University of Southampton. Data were analysed thematically using elements of grounded theory and constant comparison. Students identified early examples of diversity teaching consistent with a cultural humility approach. In later years, the limited diversity teaching recognised by students generally adopted a cultural competency approach. Students tended to perceive diversity as something that creates problems for healthcare professionals due to patients' perceived differences. They also reported witnessing a number of questionable practices related to diversity issues that they felt unable to challenge. The dissonance created by differences in the largely lecture based and the clinical environments left students confused and doubting the value of cultural humility in a clinical context. Staff training on diversity issues is required to encourage institutional buy-in and establish consistent educational and clinical environments. By tackling cultural diversity within the context of patient-centred care, cultural humility, the approach students valued most, would become the default model. Reflective practice and the development of a critical consciousness are crucial in the improvement of cultural diversity training and thus should be facilitated and encouraged. Educators can adopt a

  18. Comparison of subset-based local and FE-based global digital image correlation: Theoretical error analysis and validation

    KAUST Repository

    Pan, B.; Wang, Bo; Lubineau, Gilles

    2016-01-01

    Subset-based local and finite-element-based (FE-based) global digital image correlation (DIC) approaches are the two primary image matching algorithms widely used for full-field displacement mapping. Very recently, the performances

  19. Classification of Textures Using Filter Based Local Feature Extraction

    Directory of Open Access Journals (Sweden)

    Bocekci Veysel Gokhan

    2016-01-01

    Full Text Available In this work local features are used in feature extraction process in image processing for textures. The local binary pattern feature extraction method from textures are introduced. Filtering is also used during the feature extraction process for getting discriminative features. To show the effectiveness of the algorithm before the extraction process, three different noise are added to both train and test images. Wiener filter and median filter are used to remove the noise from images. We evaluate the performance of the method with Naïve Bayesian classifier. We conduct the comparative analysis on benchmark dataset with different filtering and size. Our experiments demonstrate that feature extraction process combine with filtering give promising results on noisy images.

  20. Characterization of the Nigerian local turkey based on blood ...

    African Journals Online (AJOL)

    The BGC was significantly different (p<0.05) among the birds at 7, 11 and 23 weeks old, with highest values in black colour at 7 and 11WOA, and black and white colours at 23 WOA. Improvement for local turkey in Nigeria could be made using the markers RT, PCV, Hb, WBC and RBC for Marker-assisted selection. In view of ...

  1. Robust finger vein ROI localization based on flexible segmentation.

    Science.gov (United States)

    Lu, Yu; Xie, Shan Juan; Yoon, Sook; Yang, Jucheng; Park, Dong Sun

    2013-10-24

    Finger veins have been proved to be an effective biometric for personal identification in the recent years. However, finger vein images are easily affected by influences such as image translation, orientation, scale, scattering, finger structure, complicated background, uneven illumination, and collection posture. All these factors may contribute to inaccurate region of interest (ROI) definition, and so degrade the performance of finger vein identification system. To improve this problem, in this paper, we propose a finger vein ROI localization method that has high effectiveness and robustness against the above factors. The proposed method consists of a set of steps to localize ROIs accurately, namely segmentation, orientation correction, and ROI detection. Accurate finger region segmentation and correct calculated orientation can support each other to produce higher accuracy in localizing ROIs. Extensive experiments have been performed on the finger vein image database, MMCBNU_6000, to verify the robustness of the proposed method. The proposed method shows the segmentation accuracy of 100%. Furthermore, the average processing time of the proposed method is 22 ms for an acquired image, which satisfies the criterion of a real-time finger vein identification system.

  2. Robust Finger Vein ROI Localization Based on Flexible Segmentation

    Directory of Open Access Journals (Sweden)

    Dong Sun Park

    2013-10-01

    Full Text Available Finger veins have been proved to be an effective biometric for personal identification in the recent years. However, finger vein images are easily affected by influences such as image translation, orientation, scale, scattering, finger structure, complicated background, uneven illumination, and collection posture. All these factors may contribute to inaccurate region of interest (ROI definition, and so degrade the performance of finger vein identification system. To improve this problem, in this paper, we propose a finger vein ROI localization method that has high effectiveness and robustness against the above factors. The proposed method consists of a set of steps to localize ROIs accurately, namely segmentation, orientation correction, and ROI detection. Accurate finger region segmentation and correct calculated orientation can support each other to produce higher accuracy in localizing ROIs. Extensive experiments have been performed on the finger vein image database, MMCBNU_6000, to verify the robustness of the proposed method. The proposed method shows the segmentation accuracy of 100%. Furthermore, the average processing time of the proposed method is 22 ms for an acquired image, which satisfies the criterion of a real-time finger vein identification system.

  3. Robust Finger Vein ROI Localization Based on Flexible Segmentation

    Science.gov (United States)

    Lu, Yu; Xie, Shan Juan; Yoon, Sook; Yang, Jucheng; Park, Dong Sun

    2013-01-01

    Finger veins have been proved to be an effective biometric for personal identification in the recent years. However, finger vein images are easily affected by influences such as image translation, orientation, scale, scattering, finger structure, complicated background, uneven illumination, and collection posture. All these factors may contribute to inaccurate region of interest (ROI) definition, and so degrade the performance of finger vein identification system. To improve this problem, in this paper, we propose a finger vein ROI localization method that has high effectiveness and robustness against the above factors. The proposed method consists of a set of steps to localize ROIs accurately, namely segmentation, orientation correction, and ROI detection. Accurate finger region segmentation and correct calculated orientation can support each other to produce higher accuracy in localizing ROIs. Extensive experiments have been performed on the finger vein image database, MMCBNU_6000, to verify the robustness of the proposed method. The proposed method shows the segmentation accuracy of 100%. Furthermore, the average processing time of the proposed method is 22 ms for an acquired image, which satisfies the criterion of a real-time finger vein identification system. PMID:24284769

  4. Affording and Constraining Local Moral Orders in Teacher-Led Ability-Based Mathematics Groups

    Science.gov (United States)

    Tait-McCutcheon, Sandi; Shuker, Mary Jane; Higgins, Joanna; Loveridge, Judith

    2015-01-01

    How teachers position themselves and their students can influence the development of afforded or constrained local moral orders in ability-based teacher-led mathematics lessons. Local moral orders are the negotiated discursive practices and interactions of participants in the group. In this article, the developing local moral orders of 12 teachers…

  5. IRLED-based patient localization for linac radiosurgery

    International Nuclear Information System (INIS)

    Meeks, Sanford L.; Bova, Francis J.; Friedman, William A.; Buatti, John M.; Moore, Russell D.; Mendenhall, William M.

    1998-01-01

    Purpose: Currently, precise stereotactic radiosurgery delivery is possible with the Gamma Knife or floor-stand linear accelerator (linac) systems. Couch-mounted linac radiosurgery systems, while less expensive and more flexible than other radiosurgery delivery systems, have not demonstrated a comparable level of precision. This article reports on the development and testing of an optically guided positioning system designed to improve the precision of patient localization in couch-mounted linac radiosurgery systems. Methods and Materials: The optically guided positioning system relies on detection of infrared light-emitting diodes (IRLEDs) attached to a standard target positioner. The IRLEDs are monitored by a commercially available camera system that is interfaced to a personal computer. An IRLED reference is established at the center of stereotactic space, and the computer reports the current position of the IRLEDs relative to this reference position. Using this readout from the computer, the correct stereotactic coordinate can be set directly. Results: Bench testing was performed to compare the accuracy of the optically guided system with that of a floor-stand system, that can be considered an absolute reference. This testing showed that coordinate localization using the IRLED system to track translations agreed with the absolute to within 0.1 ± 0.1 mm. As rotations for noncoplanar couch angles were included, the inaccuracy was increased to 0.2 ± 0.1 mm. Conclusions: IRLED technology improves the accuracy of patient localization relative to the linac isocenter in comparison with conventional couch-mounted systems. Further, the patient's position can be monitored in real time as the couch is rotated for all treatment angles. Thus, any errors introduced by couch inaccuracies can be detected and corrected

  6. Logic in the curricula of Computer Science

    Directory of Open Access Journals (Sweden)

    Margareth Quindeless

    2014-12-01

    Full Text Available The aim of the programs in Computer Science is to educate and train students to understand the problems and build systems that solve them. This process involves applying a special reasoning to model interactions, capabilities, and limitations of the components involved. A good curriculum must involve the use of tools to assist in these tasks, and one that could be considered as a fundamental is the logic, because with it students develop the necessary reasoning. Besides, software developers analyze the behavior of the program during the designed, the depuration, and testing; hardware designers perform minimization and equivalence verification of circuits; designers of operating systems validate routing protocols, programing, and synchronization; and formal logic underlying all these activities. Therefore, a strong background in applied logic would help students to develop or potentiate their ability to reason about complex systems. Unfortunately, few curricula formed and properly trained in logic. Most includes only one or two courses of Discrete Mathematics, which in a few weeks covered truth tables and the propositional calculus, and nothing more. This is not enough, and higher level courses in which they are applied and many other logical concepts are needed. In addition, students will not see the importance of logic in their careers and need to modify the curriculum committees or adapt the curriculum to reverse this situation.

  7. Diagnostic imaging in pregraduate integrated curricula; Radiologie in einem praegraduellen problembasiert-integrierten Medizincurriculum

    Energy Technology Data Exchange (ETDEWEB)

    Kainberger, F.; Kletter, K. [Universitaetsklinik fuer Radiodiagnostik, Medizinische Univ. Wien (Austria)

    2007-11-15

    Pregraduate medical curricula are currently undergoing a reform process that is moving away from a traditional discipline-related structure and towards problem-based integrated forms of teaching. Imaging sciences, with their inherently technical advances, are specifically influenced by the effects of paradigm shifts in medical education. The teaching of diagnostic radiology should be based on the definition of three core competencies: in vivo visualization of normal and abnormal morphology and function, diagnostic reasoning, and interventional treatment. On the basis of these goals, adequate teaching methods and e-learning tools should be implemented by focusing on case-based teaching. Teaching materials used in the fields of normal anatomy, pathology, and clinical diagnosis may help diagnostic radiology to play a central role in modern pregraduate curricula. (orig.)

  8. Towards local oscillators based on arrays of niobium Josephson junctions

    International Nuclear Information System (INIS)

    Galin, M A; Klushin, A M; Kurin, V V; Seliverstov, S V; Finkel, M I; Goltsman, G N; Müller, F; Scheller, T; Semenov, A D

    2015-01-01

    Various applications in the field of terahertz technology are in urgent need of compact, wide-tunable solid-state continuous wave radiation sources with a moderate power. However, satisfactory solutions for the THz frequency range are scarce yet. Here we report on coherent radiation from a large planar array of Josephson junctions (JJs) in the frequency range between 0.1 and 0.3 THz. The external resonator providing the synchronization of JJ array is identified as a straight fragment of a single-strip-line containing the junctions themselves. We demonstrate a prototype of the quasioptical heterodyne receiver with the JJ array as a local oscillator and a hot-electron bolometer mixer. (paper)

  9. Hyper-local, directions-based ranking of places

    DEFF Research Database (Denmark)

    Venetis, Petros; Gonzalez, Hector; Jensen, Christian S.

    2011-01-01

    they are numerous and contain precise locations. Specifically, the paper proposes a framework that takes a user location and a collection of near-by places as arguments, producing a ranking of the places. The framework enables a range of aspects of directions queries to be exploited for the ranking of places......, including the frequency with which places have been referred to in directions queries. Next, the paper proposes an algorithm and accompanying data structures capable of ranking places in response to hyper-local web queries. Finally, an empirical study with very large directions query logs offers insight...... into the potential of directions queries for the ranking of places and suggests that the proposed algorithm is suitable for use in real web search engines....

  10. Theoretic base of Edge Local Mode triggering by vertical displacements

    Energy Technology Data Exchange (ETDEWEB)

    Wang, Z. T. [Southwestern Institute of Physics, Chengdu 610041 (China); College of Physics Science and Technology, Sichuan University, Chengdu 610065 (China); He, Z. X.; Wang, Z. H. [Southwestern Institute of Physics, Chengdu 610041 (China); Wu, N.; Tang, C. J. [College of Physics Science and Technology, Sichuan University, Chengdu 610065 (China)

    2015-05-15

    Vertical instability is studied with R-dependent displacement. For Solovev's configuration, the stability boundary of the vertical instability is calculated. The pressure gradient is a destabilizing factor which is contrary to Rebhan's result. Equilibrium parallel current density, j{sub //}, at plasma boundary is a drive of the vertical instability similar to Peeling-ballooning modes; however, the vertical instability cannot be stabilized by the magnetic shear which tends towards infinity near the separatrix. The induced current observed in the Edge Local Mode (ELM) triggering experiment by vertical modulation is derived. The theory provides some theoretic explanation for the mitigation of type-I ELMS on ASDEX Upgrade. The principle could be also used for ITER.

  11. Vehicle autonomous localization in local area of coal mine tunnel based on vision sensors and ultrasonic sensors.

    Directory of Open Access Journals (Sweden)

    Zirui Xu

    Full Text Available This paper presents a vehicle autonomous localization method in local area of coal mine tunnel based on vision sensors and ultrasonic sensors. Barcode tags are deployed in pairs on both sides of the tunnel walls at certain intervals as artificial landmarks. The barcode coding is designed based on UPC-A code. The global coordinates of the upper left inner corner point of the feature frame of each barcode tag deployed in the tunnel are uniquely represented by the barcode. Two on-board vision sensors are used to recognize each pair of barcode tags on both sides of the tunnel walls. The distance between the upper left inner corner point of the feature frame of each barcode tag and the vehicle center point can be determined by using a visual distance projection model. The on-board ultrasonic sensors are used to measure the distance from the vehicle center point to the left side of the tunnel walls. Once the spatial geometric relationship between the barcode tags and the vehicle center point is established, the 3D coordinates of the vehicle center point in the tunnel's global coordinate system can be calculated. Experiments on a straight corridor and an underground tunnel have shown that the proposed vehicle autonomous localization method is not only able to quickly recognize the barcode tags affixed to the tunnel walls, but also has relatively small average localization errors in the vehicle center point's plane and vertical coordinates to meet autonomous unmanned vehicle positioning requirements in local area of coal mine tunnel.

  12. Vehicle autonomous localization in local area of coal mine tunnel based on vision sensors and ultrasonic sensors.

    Science.gov (United States)

    Xu, Zirui; Yang, Wei; You, Kaiming; Li, Wei; Kim, Young-Il

    2017-01-01

    This paper presents a vehicle autonomous localization method in local area of coal mine tunnel based on vision sensors and ultrasonic sensors. Barcode tags are deployed in pairs on both sides of the tunnel walls at certain intervals as artificial landmarks. The barcode coding is designed based on UPC-A code. The global coordinates of the upper left inner corner point of the feature frame of each barcode tag deployed in the tunnel are uniquely represented by the barcode. Two on-board vision sensors are used to recognize each pair of barcode tags on both sides of the tunnel walls. The distance between the upper left inner corner point of the feature frame of each barcode tag and the vehicle center point can be determined by using a visual distance projection model. The on-board ultrasonic sensors are used to measure the distance from the vehicle center point to the left side of the tunnel walls. Once the spatial geometric relationship between the barcode tags and the vehicle center point is established, the 3D coordinates of the vehicle center point in the tunnel's global coordinate system can be calculated. Experiments on a straight corridor and an underground tunnel have shown that the proposed vehicle autonomous localization method is not only able to quickly recognize the barcode tags affixed to the tunnel walls, but also has relatively small average localization errors in the vehicle center point's plane and vertical coordinates to meet autonomous unmanned vehicle positioning requirements in local area of coal mine tunnel.

  13. Local and regional air quality over 1997 based on decrees

    International Nuclear Information System (INIS)

    Vissenberg, H.A.; Warmenhoven, R.C.G.

    1999-01-01

    Eleven of the 12 Dutch provinces and 52 of the 79 municipalities (over 40.000 inhabitants) reported on their air quality for 19997. The National Institute of Public Health and the Environment (RIVM) and the Directorate-General for Environmental Protection of the Ministry of VROM then combined these reports into an annual national report for 1997. The largest in several years, still 35 percent of the municipalities failed to meet their reported obligations. Most of the reports on air quality are incomplete on the contribution of large point sources and traffic to local air quality. For 1997 one province reported an exceedence of the limit value of nitrogen dioxide. In four provinces the target value of nitrogen dioxide was exceeded. The province of Zuid-Holland has to report next year on its air quality over 1998 because of exceeding of the limit value and the provinces Friesland and Utrecht have to report because they did not report (completely) over 1997. The 52 municipalities reported in total 60 exceedences of the (provisional) limit value over 1997: 20 roads with an exceedence of the nitrogen dioxide (provisional) limit value, 2 roads with an exceedence of the carbon monoxide limit value and 38 roads with an exceedance of the benzene limit value. Nine municipalities have to report on their air quality over 1998; Amsterdam, Arnhem, Breda, Den Haag, Leiden, Nijmegen, Sittard, Utrecht and Zwolle. Also the 27 municipalities which did not report over 1997 have to report over 1998; Alphen a/d Rijn, Dordrecht, Ede, Eindhoven, Enschede, Gouda, Groningen, Heerhugowaard, Heerlen, Helmond, 's Hertogenbosch, Heusden, Katwijk, Leeuwarden, Maarssen, Maastricht, Oosterhout, Oss, Purmerend, Ridderkerk, Roosendaal, Veldhoven, Smallingerland, Tilburg, Velsen, Vlaardingen and Zwijndrecht. Seven provinces and eight municipalities also reported on their policy to either maintain their air quality or improve it. Exceedance of limit values means that on a local scale air quality

  14. The Need and Curricula for Health Professions Education Graduate Programs

    Science.gov (United States)

    Cervero, Ronald M.; Daley, Barbara J.

    2018-01-01

    This chapter provides an overview of the emerging social and organizational contexts for health professions education and the rationale for foundational adult and continuing education concepts to be included in the curricula of HPE graduate programs.

  15. Internationalizing curricula : Needs and wishes of alumni and employers with

    NARCIS (Netherlands)

    Jos Walenkamp; Joyce den Heijer; Anneke Schuurmans-Brouwer; A. (Andreas) Funk

    2014-01-01

    Internationalizing curricula. Needs and wishes of alumni and employers with regard to international competencies. Internationalization has become of great importance for universities acrossthe globe. The labour market is becoming international, with internationalopportunities and international

  16. PLACE-BASED GREEN BUILDING: INTEGRATING LOCAL ENVIRONMENTAL AND PLANNING ANALYSIS INTO GREEN BUILDING GUIDELINES

    Science.gov (United States)

    This project will develop a model for place-based green building guidelines based on an analysis of local environmental, social, and land use conditions. The ultimate goal of this project is to develop a methodology and model for placing green buildings within their local cont...

  17. Local Knowledge and Adult Learning in Environmental Adult Education: Community-Based Ecotourism in Southern Thailand

    Science.gov (United States)

    Walter, Pierre

    2009-01-01

    This paper examines how local knowledge is employed in environmental adult education in a community-based ecotourism project in an island community in southern Thailand. The study is based on field research and analysis of project websites, media reports and documents. Situated at the intersection of global tourism and a local Thai-Malay Muslim…

  18. A Least Square-Based Self-Adaptive Localization Method for Wireless Sensor Networks

    Directory of Open Access Journals (Sweden)

    Baoguo Yu

    2016-01-01

    Full Text Available In the wireless sensor network (WSN localization methods based on Received Signal Strength Indicator (RSSI, it is usually required to determine the parameters of the radio signal propagation model before estimating the distance between the anchor node and an unknown node with reference to their communication RSSI value. And finally we use a localization algorithm to estimate the location of the unknown node. However, this localization method, though high in localization accuracy, has weaknesses such as complex working procedure and poor system versatility. Concerning these defects, a self-adaptive WSN localization method based on least square is proposed, which uses the least square criterion to estimate the parameters of radio signal propagation model, which positively reduces the computation amount in the estimation process. The experimental results show that the proposed self-adaptive localization method outputs a high processing efficiency while satisfying the high localization accuracy requirement. Conclusively, the proposed method is of definite practical value.

  19. The Toggle Local Planner for sampling-based motion planning

    KAUST Repository

    Denny, Jory; Amato, Nancy M.

    2012-01-01

    Sampling-based solutions to the motion planning problem, such as the probabilistic roadmap method (PRM), have become commonplace in robotics applications. These solutions are the norm as the dimensionality of the planning space grows, i.e., d > 5

  20. Plasma-based localized defect for switchable coupling applications

    International Nuclear Information System (INIS)

    Varault, Stefan; Gabard, Benjamin; Sokoloff, Jerome; Bolioli, Sylvain

    2011-01-01

    We report in this paper experimental measurements in order to validate the concept of switchable electromagnetic band gap filters based on plasma capillaries in the microwave regime. The plasma tube is embedded inside the structure to create a bistable (plasma on or off) punctual defect. We first investigate two kinds of discharge tubes: Ar-Hg and pure Ne, which we then use to experimentally achieve plasma-based reconfigurable applications, namely, a two-port coupler and a two-port demultiplexer.

  1. A model for the development of university curricula in nanoelectronics

    DEFF Research Database (Denmark)

    Bruun, Erik; Nielsen, I

    2010-01-01

    Nanotechnology is having an increasing impact on university curricula in electrical engineering and in physics. Major influencers affecting developments in university programmes related to nanoelectronics are discussed and a model for university programme development is described. The model takes...... engineering. Examples of European curricula following this framework are identified and described. These examples may serve as sources of inspiration for future developments and the model...

  2. Formulation analysis and computation of an optimization-based local-to-nonlocal coupling method.

    Energy Technology Data Exchange (ETDEWEB)

    D' Elia, Marta [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States). Center for Computing Research; Bochev, Pavel Blagoveston [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States). Center for Computing Research

    2017-01-01

    In this paper, we present an optimization-based coupling method for local and nonlocal continuum models. Our approach couches the coupling of the models into a control problem where the states are the solutions of the nonlocal and local equations, the objective is to minimize their mismatch on the overlap of the local and nonlocal problem domains, and the virtual controls are the nonlocal volume constraint and the local boundary condition. We present the method in the context of Local-to-Nonlocal di usion coupling. Numerical examples illustrate the theoretical properties of the approach.

  3. Ionogenic adsorbents based on local raw materials for radiation protection

    International Nuclear Information System (INIS)

    Isobaev, M.D.; Davlatnazarova, M.; Turdialiev, M.Z.; Abdullayev, T.H.; Pulatov, E.H.

    2012-01-01

    The successful management of uranium wastes and creating the conditions for effective rehabilitation activities require special adsorbents capable of holding on the surface complexes, including radioactive elements. Currently tested and have shown promising synthetic adsorbents based pitted apricot fruits and other fruit plants. This report presents data for the establishment of ionic type available adsorbents based on Tajikistan coal. As the base for the creation of this type of adsorbent were taken the coal of the 'Ziddi' deposits. As follows from our data on the chemical composition, the studied coals contain more than 20% of the ash. According to the available literature theses ashes contains various minerals compositions that can form the adsorbent's active surface. Thus, the model for this type of activated carbon can serve as a mixture of zeolite, ion exchange resins and activated carbon itself.

  4. EKF-GPR-Based Fingerprint Renovation for Subset-Based Indoor Localization with Adjusted Cosine Similarity.

    Science.gov (United States)

    Yang, Junhua; Li, Yong; Cheng, Wei; Liu, Yang; Liu, Chenxi

    2018-01-22

    Received Signal Strength Indicator (RSSI) localization using fingerprint has become a prevailing approach for indoor localization. However, the fingerprint-collecting work is repetitive and time-consuming. After the original fingerprint radio map is built, it is laborious to upgrade the radio map. In this paper, we describe a Fingerprint Renovation System (FRS) based on crowdsourcing, which avoids the use of manual labour to obtain the up-to-date fingerprint status. Extended Kalman Filter (EKF) and Gaussian Process Regression (GPR) in FRS are combined to calculate the current state based on the original fingerprinting radio map. In this system, a method of subset acquisition also makes an immediate impression to reduce the huge computation caused by too many reference points (RPs). Meanwhile, adjusted cosine similarity (ACS) is employed in the online phase to solve the issue of outliers produced by cosine similarity. Both experiments and analytical simulation in a real Wireless Fidelity (Wi-Fi) environment indicate the usefulness of our system to significant performance improvements. The results show that FRS improves the accuracy by 19.6% in the surveyed area compared to the radio map un-renovated. Moreover, the proposed subset algorithm can bring less computation.

  5. EKF–GPR-Based Fingerprint Renovation for Subset-Based Indoor Localization with Adjusted Cosine Similarity

    Science.gov (United States)

    Yang, Junhua; Li, Yong; Cheng, Wei; Liu, Yang; Liu, Chenxi

    2018-01-01

    Received Signal Strength Indicator (RSSI) localization using fingerprint has become a prevailing approach for indoor localization. However, the fingerprint-collecting work is repetitive and time-consuming. After the original fingerprint radio map is built, it is laborious to upgrade the radio map. In this paper, we describe a Fingerprint Renovation System (FRS) based on crowdsourcing, which avoids the use of manual labour to obtain the up-to-date fingerprint status. Extended Kalman Filter (EKF) and Gaussian Process Regression (GPR) in FRS are combined to calculate the current state based on the original fingerprinting radio map. In this system, a method of subset acquisition also makes an immediate impression to reduce the huge computation caused by too many reference points (RPs). Meanwhile, adjusted cosine similarity (ACS) is employed in the online phase to solve the issue of outliers produced by cosine similarity. Both experiments and analytical simulation in a real Wireless Fidelity (Wi-Fi) environment indicate the usefulness of our system to significant performance improvements. The results show that FRS improves the accuracy by 19.6% in the surveyed area compared to the radio map un-renovated. Moreover, the proposed subset algorithm can bring less computation. PMID:29361805

  6. Comparative properties of ceramic-based roofing sheets from local ...

    African Journals Online (AJOL)

    Ceramic roofing sheets were fabricated in the laboratory by using ideal raw materials. The fabricating materials are coiled coconut fibre, palm fruit fibre, fresh water, river sand, polymeric dust, saw dust and cement. The resulting product was compared with factory -produced ceramic-based roofing sheets that are easily ...

  7. Ebola Crisis: Improving Science-Based Communication and Local ...

    International Development Research Centre (IDRC) Digital Library (Canada)

    As a long-term goal, the project aims to strengthen journalism associations in Africa through country and regional exchanges using a Web-based platform devoted to science and health journalism. This will help increase access to health knowledge and evidence, improve monitoring and reporting of priority health issues in ...

  8. Importance of quantification of local site effects based on wave ...

    Indian Academy of Sciences (India)

    with increase of impedance contrast was obtained. Based on the trend of rate ... to predict the F0 of a layered medium (Dobry et al. 1976). ..... layered medium. In the past, several empirical relations have been developed to predict the fundamental period of the layered soil (Dobry 1976). Some of the empir- ical relations for ...

  9. Map based localization to assist commercial fleet operations.

    Science.gov (United States)

    2014-08-01

    This report outlines key recent contributions to the state of the art in lane detection, lane departure warning, : and map-based sensor fusion algorithms. These key studies are used as a basis for a discussion about the : limitations of systems that ...

  10. Local natural and cultural heritage assets and community based ...

    African Journals Online (AJOL)

    Community based tourism (CBT) is seen as an opportunity which mass tourism does not offer for, especially, rural communities to develop their natural and cultural assets into tourism activities for the benefit of the community. The point of CBT is that the community, collectively and individually, gains a livelihood from ...

  11. Importance of quantification of local site effects based on wave ...

    Indian Academy of Sciences (India)

    This paper presents the three most important aspects of seismic microzonation namely prediction of fundamental frequency (F0) of soil deposit, aggravation factor (aggravation factor is ... We recommend the use of analytical or numerical methods to predict such an important parameter based on wave propagation effects.

  12. Integrating topics of sex and gender into medical curricula-lessons from the international community.

    Science.gov (United States)

    Miller, Virginia M; Kararigas, Georgios; Seeland, Ute; Regitz-Zagrosek, Vera; Kublickiene, Karolina; Einstein, Gillian; Casanova, Robert; Legato, Marianne J

    2016-01-01

    In the era of individualized medicine, training future scientists and health-care providers in the principles of sex- and gender-based differences in health and disease is critical in order to optimize patient care. International successes to incorporate these concepts into medical curricula can provide a template for others to follow. Methodologies and resources are provided that can be adopted and adapted to specific needs of other institutions and learning situations.

  13. Including Emotional Intelligence in Pharmacy Curricula to Help Achieve CAPE Outcomes

    OpenAIRE

    Nelson, Michael H.; Fierke, Kerry K.; Sucher, Brandon J.; Janke, Kristin K.

    2015-01-01

    The importance of emotional intelligence (EI) for effective teamwork and leadership within the workplace is increasingly apparent. As suggested by the 2013 CAPE Outcomes, we recommend that colleges and schools of pharmacy consider EI-related competencies to build self-awareness and professionalism among students. In this Statement, we provide two examples of the introduction of EI into pharmacy curricula. In addition, we provide a 4-phase process based on recommendations developed by EI exper...

  14. Indoor Localization with Probability Density Functionsd based on Bluetooth

    OpenAIRE

    Wendlandt, Kai; Robertson, Patrick; Berbig, Marcus

    2005-01-01

    We present a simple system to help people navigate inside of buildings or even in outside areas close to buildings. It is based on the “RSSI” and “Transmit power” data of an established Bluetooth link. The system is in principle sufficient for the intended application (pedestrian, indoor), but it is certainly not a high resolution indoor location system. The achievable accuracy is dependent on the setup (number of access points and their constellation and available Bluetooth devices) but will...

  15. Artificial intelligence and engineering curricula - are changes needed?

    International Nuclear Information System (INIS)

    Jenkins, J.P.

    1988-01-01

    The purpose of this paper is to identify the expected impact of artificial intelligence (AI) on curricula and training courses. From this examination, new elements are proposed for the academic preparation and training of engineers who will evaluate and use these systems and capabilities. Artificial intelligence, from an operational viewpoint, begins with a set of rules governing the operation of logic, implemented via computer software and userware. These systems apply logic and experience to handling problems in an intelligent approach, especially when the number of alternatives to problem solution is beyond the scope of the human user. Usually, AI applications take the form of expert systems. An expert system embodies in the computer the knowledge-based component of an expert, such as domain knowledge and reasoning techniques, in such a form that the system can offer intelligent advice and, on demand, justify its own line of reasoning. Two languages predominate, LISP and Prolog. The AI user may interface with the knowledge base via one of these languages or by means of menu displays, cursor selections, or other conventional user interface methods

  16. Local labor markets and taste-based discrimination

    Directory of Open Access Journals (Sweden)

    Clémence Berson

    2016-04-01

    Full Text Available Abstract This article appeals to heterogeneity in workers’ non-wage preferences to model taste-based discrimination. Firms hire both types of workers and pay lower wages to minority workers, whatever their taste for discrimination. A single prejudiced firm in the market produces a substantial wage gap in all firms. Consequently, discrimination allows unprejudiced firms to make non-zero profits, so that they have little incentive to drive out prejudiced firms. As the market does not eliminate discrimination, state intervention is required. Indirect policies do not affect the absolute wage gap between the two groups, but may be more likely to be used than direct policies.

  17. Comparison of subset-based local and FE-based global digital image correlation: Theoretical error analysis and validation

    KAUST Repository

    Pan, B.

    2016-03-22

    Subset-based local and finite-element-based (FE-based) global digital image correlation (DIC) approaches are the two primary image matching algorithms widely used for full-field displacement mapping. Very recently, the performances of these different DIC approaches have been experimentally investigated using numerical and real-world experimental tests. The results have shown that in typical cases, where the subset (element) size is no less than a few pixels and the local deformation within a subset (element) can be well approximated by the adopted shape functions, the subset-based local DIC outperforms FE-based global DIC approaches because the former provides slightly smaller root-mean-square errors and offers much higher computation efficiency. Here we investigate the theoretical origin and lay a solid theoretical basis for the previous comparison. We assume that systematic errors due to imperfect intensity interpolation and undermatched shape functions are negligibly small, and perform a theoretical analysis of the random errors or standard deviation (SD) errors in the displacements measured by two local DIC approaches (i.e., a subset-based local DIC and an element-based local DIC) and two FE-based global DIC approaches (i.e., Q4-DIC and Q8-DIC). The equations that govern the random errors in the displacements measured by these local and global DIC approaches are theoretically derived. The correctness of the theoretically predicted SD errors is validated through numerical translation tests under various noise levels. We demonstrate that the SD errors induced by the Q4-element-based local DIC, the global Q4-DIC and the global Q8-DIC are 4, 1.8-2.2 and 1.2-1.6 times greater, respectively, than that associated with the subset-based local DIC, which is consistent with our conclusions from previous work. © 2016 Elsevier Ltd. All rights reserved.

  18. Comparison of student success using "atoms first" versus "traditional" curricula

    Science.gov (United States)

    Hillesheim, Christina S.

    The purpose of this study was to investigate the difference between the "atoms first" and the "traditional" curricula. Specifically focusing on which curriculum better aligns to curricular expectations, leads to higher student success when students are grouped together, and when students are differentiated based on several factors. The main difference between the two approaches being the sequence of topics presented in the first semester general chemistry course. This study involves more than 9,500 general chemistry I and II students over 7 semesters with about half of them being taught using the "atoms first" approach. Student success was measured using the American Chemical Society's (ACS) final examination scores and the final letter grades. Alignment to curricular expectations was determined via a qualitative review of textbooks written for each of the approaches. This showed that the "atoms first" approach better aligns to research supported best practices. An analysis of covariance (ANCOVA) was performed to determine if there is a significant difference between the "atoms first" and the "traditional" curricula. The "traditional" approach was found to lead to higher student achievement for both measures of student success in both chemistry I and II courses. Lastly, multiple linear, multinomial logistic, and binary logistic regressions were run using all of the subgroups---gender, race/ethnicity, major, ACT composite, math ACT, overall GPA, and classroom size---as predictor variables to determine if any significant interactions between the curricular methods and the different subgroups existed. Results found that the relationship between gender, GPA, and classroom size groupings significantly impact student achievement in general chemistry. Specifically, the "traditional" approach lead to higher student success compared to the "atoms first" approach for males, females, below average GPA students, above average GPA students, and students in large classroom

  19. The treatment of differences in developmental, psychomotor and critical curricula for physical education

    Directory of Open Access Journals (Sweden)

    Pedro Xavier Russo Bonetto

    2017-05-01

    Full Text Available Difference, as cultural identity, appears as an urgent demand in the curricula for all school subjects. Therefore, this paper aims at identifying the treatment given to differences by some of the most relevant proposals in the physical education area. Three Brazilian works were analyzed for having influenced the dissemination of psychomotor (FREIRE, 1989, developmental (TANI et al., 1988 and critical-overcoming (SOARES et al., 1992 curricula. The results revealed a conservative perspective based (a on the assimilation of differences or (b on the humanistic appropriation supported by the belief of the equality principle disregarding issues such as ethnicity, genre or sexuality. The conclusion is that, in both cases, integrating the different cultural groups to the dominant culture is sought so that everybody can compete as equals in the modern capitalist society.

  20. A probabilistic model for robust localization based on a binaural auditory front-end

    NARCIS (Netherlands)

    May, T.; Par, van de S.L.J.D.E.; Kohlrausch, A.G.

    2011-01-01

    Although extensive research has been done in the field of machine-based localization, the degrading effect of reverberation and the presence of multiple sources on localization performance has remained a major problem. Motivated by the ability of the human auditory system to robustly analyze complex

  1. Use of Simulation Learning Experiences in Physical Therapy Entry-to-Practice Curricula: A Systematic Review

    Science.gov (United States)

    Carnahan, Heather; Herold, Jodi

    2015-01-01

    ABSTRACT Purpose: To review the literature on simulation-based learning experiences and to examine their potential to have a positive impact on physiotherapy (PT) learners' knowledge, skills, and attitudes in entry-to-practice curricula. Method: A systematic literature search was conducted in the MEDLINE, CINAHL, Embase Classic+Embase, Scopus, and Web of Science databases, using keywords such as physical therapy, simulation, education, and students. Results: A total of 820 abstracts were screened, and 23 articles were included in the systematic review. While there were few randomized controlled trials with validated outcome measures, some discoveries about simulation can positively affect the design of the PT entry-to-practice curricula. Using simulators to provide specific output feedback can help students learn specific skills. Computer simulations can also augment students' learning experience. Human simulation experiences in managing the acute patient in the ICU are well received by students, positively influence their confidence, and decrease their anxiety. There is evidence that simulated learning environments can replace a portion of a full-time 4-week clinical rotation without impairing learning. Conclusions: Simulation-based learning activities are being effectively incorporated into PT curricula. More rigorously designed experimental studies that include a cost–benefit analysis are necessary to help curriculum developers make informed choices in curriculum design. PMID:25931672

  2. Localized electrochemical corrosion of nickel-based alloys. Final report

    International Nuclear Information System (INIS)

    Isaacs, H.S.; Oyeleye, O.; Davidson, M.; Dudek, D.; Hatton, T.A.; Tester, J.W.; Helling, R.K.; Erickson, J.C.

    1986-09-01

    The technique of monitoring open-circuit potential over time to study pitting corrosion of Alloy 600 was demonstrated at 95 0 C. Chloride ion and oxygen levels were varied to determine the conditions required for pit initiation and propagation at 25 0 C and 95 0 C. Without applied potential pitting was not observed at 25 0 C in solutions of up to 2.6 M NaCl. At 95 0 C pit initiation occurred above 0.22 M NaCl for a nitrogen sparged system, 0.042 M NaCl for a contaminated air sparged system and 0.059 M for an O 2 sparged system. At 95 0 C initiation followed by propagation was observed at 0.22 M, 0.12 M and 0.11 M NaCl for the N 2 , air and O 2 sparged systems, respectively. A theoretical model, using a hemispherical pit geometry and transport based on the Nernst-Einstein equation, was developed to predict changes in ion concentration, current and pit size. For a pit with an initial radius of 100 A, a fixed potential difference of 0.5 V and constant ionic diffusivities on the order of 10 -5 , cm 2 /sec, the model predicts that the solution within the pit will become saturated with metal chloride within 2 x 10 -7 seconds. The current density increases exponentially with time and reaches a maximum value of 7.2 x 10 4 A/cm 2 at the point of saturation

  3. ASSURING QUALITY IN FARM ANIMAL WELFARE CURRICULA: THE CASE OF WELFOOD CURRICULA

    Directory of Open Access Journals (Sweden)

    EVANGELIA N. SOSSIDOU

    2009-10-01

    Full Text Available The aim of the present study is to analyze virtual learning environments and to provide a framework for assuring quality in farm animal welfare curricula. The framework is constructed according to the experimental learning for a case study developed in the context of the Leonardo da Vinci Community Vocational Training Action Pilot Project entitled “WELFOOD-Promoting quality assurance in animal welfare-environment-food quality interaction studies through upgraded e-Learning”. WELFOOD addressed objectives such as improvement and competencies of the skills in vocational training to promote employability and facilitate integration and reintegration in terms of capabilities and knowledge, needed for improved technologies in animal husbandry and food industry.

  4. A review of the available urology skills training curricula and their validation.

    Science.gov (United States)

    Shepherd, William; Arora, Karan Singh; Abboudi, Hamid; Shamim Khan, Mohammed; Dasgupta, Prokar; Ahmed, Kamran

    2014-01-01

    The transforming field of urological surgery continues to demand development of novel training devices and curricula for its trainees. Contemporary trainees have to balance workplace demands while overcoming the cognitive barriers of acquiring skills in rapidly multiplying and advancing surgical techniques. This article provides a brief review of the process involved in developing a surgical curriculum and the current status of real and simulation-based curricula in the 4 subgroups of urological surgical practice: open, laparoscopic, endoscopic, and robotic. An informal literature review was conducted to provide a snapshot into the variety of simulation training tools available for technical and nontechnical urological surgical skills within all subgroups of urological surgery using the following keywords: "urology, surgery, training, curriculum, validation, non-technical skills, technical skills, LESS, robotic, laparoscopy, animal models." Validated training tools explored in research were tabulated and summarized. A total of 20 studies exploring validated training tools were identified. Huge variation was noticed in the types of validity sought by researchers and suboptimal incorporation of these tools into curricula was noted across the subgroups of urological surgery. The following key recommendations emerge from the review: adoption of simulation-based curricula in training; better integration of dedicated training time in simulated environments within a trainee's working hours; better incentivization for educators and assessors to improvise, research, and deliver teaching using the technologies available; and continued emphasis on developing nontechnical skills in tandem with technical operative skills. © 2013 Published by Association of Program Directors in Surgery on behalf of Association of Program Directors in Surgery.

  5. Development of security engineering curricula at US universities

    Energy Technology Data Exchange (ETDEWEB)

    Garcia, M.L.

    1998-08-01

    The Southwest Surety Institute was formed in June 1996 by Arizona State University (ASU), New Mexico Institute of Mining and Technology (NM Tech), New Mexico State University (NMSU), and Sandia National Laboratories (SNL) to provide educational programs in Security Engineering, and to conduct research and development in security technologies. This is the first science-based program of its kind in the US, focused on educating Security Engineers to help government and industry address their security needs. Each member brings a unique educational capability to the Institute. NM Tech has a formidable explosives testing and evaluation facility. ASU is developing a Masters program in Security Engineering at their School of Technology located on a new campus in Mesa, Arizona. NMSU provides a Security Technology minor, merging programs in Criminal Justice and Engineering Technology. The Sandia National Laboratories security system design and evaluation process forms the basis for the Security Engineering curricula. In an effort to leverage the special capabilities of each university, distance education will be used to share courses among Institute members and eventually with other sites across the country.

  6. Integrating Intelligent Systems Domain Knowledge Into the Earth Science Curricula

    Science.gov (United States)

    Güereque, M.; Pennington, D. D.; Pierce, S. A.

    2017-12-01

    High-volume heterogeneous datasets are becoming ubiquitous, migrating to center stage over the last ten years and transcending the boundaries of computationally intensive disciplines into the mainstream, becoming a fundamental part of every science discipline. Despite the fact that large datasets are now pervasive across industries and academic disciplines, the array of skills is generally absent from earth science programs. This has left the bulk of the student population without access to curricula that systematically teach appropriate intelligent-systems skills, creating a void for skill sets that should be universal given their need and marketability. While some guidance regarding appropriate computational thinking and pedagogy is appearing, there exist few examples where these have been specifically designed and tested within the earth science domain. Furthermore, best practices from learning science have not yet been widely tested for developing intelligent systems-thinking skills. This research developed and tested evidence based computational skill modules that target this deficit with the intention of informing the earth science community as it continues to incorporate intelligent systems techniques and reasoning into its research and classrooms.

  7. Iterative observer based method for source localization problem for Poisson equation in 3D

    KAUST Repository

    Majeed, Muhammad Usman; Laleg-Kirati, Taous-Meriem

    2017-01-01

    A state-observer based method is developed to solve point source localization problem for Poisson equation in a 3D rectangular prism with available boundary data. The technique requires a weighted sum of solutions of multiple boundary data

  8. Structural Health Monitoring Based on Combined Structural Global and Local Frequencies

    Directory of Open Access Journals (Sweden)

    Jilin Hou

    2014-01-01

    Full Text Available This paper presents a parameter estimation method for Structural Health Monitoring based on the combined measured structural global frequencies and structural local frequencies. First, the global test is experimented to obtain the low order modes which can reflect the global information of the structure. Secondly, the mass is added on the member of structure to increase the local dynamic characteristic and to make the member have local primary frequency, which belongs to structural local frequency and is sensitive to local parameters. Then the parameters of the structure can be optimized accurately using the combined structural global frequencies and structural local frequencies. The effectiveness and accuracy of the proposed method are verified by the experiment of a space truss.

  9. PDBlocal: A web-based tool for local inspection of biological macromolecular 3D structures

    Directory of Open Access Journals (Sweden)

    Pan Wang

    2018-03-01

    Full Text Available Functional research on biological macromolecules must focus on specific local regions. PDBlocal is a web-based tool developed to overcome the limitations of traditional molecular visualization tools for three-dimensional (3D inspection of local regions. PDBlocal provides an intuitive and easy-to-manipulate web page interface and some new useful functions. It can keep local regions flashing, display sequence text that is dynamically consistent with the 3D structure in local appearance under multiple local manipulations, use two scenes to help users inspect the same local region with different statuses, list all historical manipulation statuses with a tree structure, allow users to annotate regions of interest, and save all historical statuses and other data to a web server for future research. PDBlocal has met expectations and shown satisfactory performance for both expert and novice users. This tool is available at http://labsystem.scuec.edu.cn/pdblocal/.

  10. Findings on the Development and Use of Technology-Infused Curricula in Preschool Classrooms. Interactive STEM Research Brief

    Science.gov (United States)

    Stiles, Jennifer; Louie, Jo

    2016-01-01

    Mobile tablets are becoming more prevalent in educational settings, but little is known about the impact of using technology-infused curricula in preschool classrooms. The research summarized in this brief suggests that well-designed tablet-based activities can indeed improve student learning outcomes at the preschool level. These positive…

  11. Workshop Physics and Related Curricula: "A 25-Year History of Collaborative Learning Enhanced by Computer Tools for Observation and Analysis"

    Science.gov (United States)

    Laws, Priscilla W.; Willis, Maxine C.; Sokoloff, David R.

    2015-01-01

    This article describes the 25-year history of development of the activity-based Workshop Physics (WP) at Dickinson College, its adaptation for use at Gettysburg Area High School, and its synergistic influence on curricular materials developed at the University of Oregon and Tufts University and vice versa. WP and these related curricula: 1) are…

  12. Effectively Adapting the Sport Management Curricula: Harnessing Internal and External Resources to Address Industry-Specific Needs

    Science.gov (United States)

    Braunstein-Minkove, Jessica R.; DeLuca, Jaime R.

    2015-01-01

    Academic programs must constantly evolve in order to ensure that students are best prepared for success in internships and subsequent post-collegiate endeavors within the dynamic, rapidly changing sport industry. Based upon qualitative research, this work assesses and recommends areas of development in sport management curricula using internal and…

  13. Analyzing the Curricula of Doctor of Philosophy in Educational Technology-Related Programs in the United States

    Science.gov (United States)

    Almaden, Abdullah; Ku, Heng-Yu

    2017-01-01

    The purpose of this study was to analyze on-campus and online PhD programs in educational technology-related fields in the United States. In particular, it sought to evaluate the most common program titles; core, elective, and research courses based on program curricula. The research design was quantitative content analysis and data were collected…

  14. The Development of Interactive Mathematics Learning Material Based on Local Wisdom with .swf Format

    Science.gov (United States)

    Abadi, M. K.; Asih, E. C. M.; Jupri, A.

    2018-05-01

    Learning materials used by students and schools in Serang district are lacking because they do not contain local wisdom content. The aim of this study is to improve the deficiencies in learning materials used by students by making interactive materials based on local wisdom content with format .swf. The method in this research is research and development (RnD) with ADDIE model. In making this interactive learning materials in accordance with the stages of the ADDIE study. The results of this study include interactive learning materials based on local wisdom. This learning material is suitable for digital students.

  15. A Comprehensive Survey of Preclinical Microbiology Curricula Among US Medical Schools.

    Science.gov (United States)

    Melber, Dora J; Teherani, Arianne; Schwartz, Brian S

    2016-07-15

    A strong foundational understanding of microbiology is crucial for the 21st century physician. Given recent major advances in medical microbiology, curricular changes will likely be needed. Before transforming curricula, we must first obtain a comprehensive understanding of contemporary medical student microbiology education. We disseminated a 38-question survey to microbiology course directors and curriculum deans at 142 US medical schools accredited by the Liason Committee on Medical Education. Survey questions focused on course leadership, curricular structure, course content, and educator perceptions about microbiology education locally and nationally. One hundred and four (73%) of 142 schools completed the survey. Ninety-four (90%) schools identified a course director. Of these, 48% were led by microbiologists alone, 23% co-led by a microbiologist and a clinician, 20% by a clinician alone, and 8% by a laboratory medicine physician with or without a co-director. At 55 (53%) schools, the curricula were organized in a single block or course and at 47 (45%) it was integrated into other curricula. Areas of emerging importance, such as antimicrobial stewardship, global health, infection control, and the microbiome, were addressed at 66%, 65%, 64%, and 47% of institutions, respectively. Respondents reported the following concerns: challenges integrating microbiology into other courses, reduced total teaching hours, and difficulty balancing basic and clinical science topics. Preclinical microbiology course directors report significant challenges in meeting the needs of changing curriculum structure and content. Enhanced local collaboration between microbiologists and clinicians, as well as national collaboration among relevant societies to design best practices and support research, may be strategies for future success. © The Author 2016. Published by Oxford University Press for the Infectious Diseases Society of America. All rights reserved. For permissions, e

  16. Why do people use exotic plants in their local medical systems? A systematic review based on Brazilian local communities.

    Science.gov (United States)

    Medeiros, Patrícia Muniz de; Ferreira Júnior, Washington Soares; Ramos, Marcelo Alves; Silva, Taline Cristina da; Ladio, Ana Haydée; Albuquerque, Ulysses Paulino

    2017-01-01

    Efforts have been made to understand the processes that lead to the introduction of exotic species into local pharmacopoeias. Among those efforts, the diversification hypothesis predicts that exotic plants are introduced in local medical systems to amplify the repertoire of knowledge related to the treatment of diseases, filling blanks that were not occupied by native species. Based on such hypothesis, this study aimed to contribute to this discussion using the context of local Brazilian populations. We performed a systematic review of Brazilian studies up to 2011 involving medicinal plants, excluding those studies that presented a high risk of bias (because of sampling or plant identification problems). An analysis of similarities (ANOSIM) was conducted in different scales to test for differences in the repertoire of therapeutic indications treated using native and exotic species. We have found that although there is some overlap between native and exotic plants regarding their therapeutic indications and the body systems (BSs) that they treat, there are clear gaps present, that is, there are therapeutic indications and BSs treated that are exclusive to exotic species. This scenario enables the postulation of two alternative unfoldings of the diversification hypothesis, namely, (1) exotic species are initially introduced to fill gaps and undergo subsequent expansion of their use for medical purposes already addressed using native species and (2) exotic species are initially introduced to address problems already addressed using native species to diversify the repertoire of medicinal plants and to increase the resilience of medical systems. The reasons why exotic species may have a competitive advantage over the native ones, the implications of the introduction of exotic species for the resilience of medical systems, and the contexts in which autochthonous plants can gain strength to remain in pharmacopoeias are also discussed.

  17. Comparing large lecture mechanics curricula using the Force Concept Inventory: A five thousand student study

    Science.gov (United States)

    Caballero, Marcos D.; Greco, Edwin F.; Murray, Eric R.; Bujak, Keith R.; Jackson Marr, M.; Catrambone, Richard; Kohlmyer, Matthew A.; Schatz, Michael F.

    2012-07-01

    The performance of over 5000 students in introductory calculus-based mechanics courses at the Georgia Institute of Technology was assessed using the Force Concept Inventory (FCI). Results from two different curricula were compared: a traditional mechanics curriculum and the Matter & Interactions (M&I) curriculum. Both were taught with similar interactive pedagogy. Post-instruction FCI averages were significantly higher for the traditional curriculum than for the M&I curriculum; the differences between curricula persist after accounting for factors such as pre-instruction FCI scores, grade point averages, and SAT scores. FCI performance on categories of items organized by concepts was also compared; traditional averages were significantly higher in each concept. We examined differences in student preparation between the curricula and found that the relative fraction of homework and lecture topics devoted to FCI force and motion concepts correlated with the observed performance differences. Concept inventories, as instruments for evaluating curricular reforms, are generally limited to the particular choice of content and goals of the instrument. Moreover, concept inventories fail to measure what are perhaps the most interesting aspects of reform: the non-overlapping content and goals that are not present in courses without reform.

  18. Teaching of ophthalmology in undergraduate curricula: a survey of Australasian and Asian medical schools.

    Science.gov (United States)

    Fan, Jennifer C; Sherwin, Trevor; McGhee, Charles N J

    2007-01-01

    Despite established international guidelines on preferred teaching components for ophthalmology in undergraduate curricula, with increasingly less specialty-based undergraduate teaching within curricula, teaching of core ophthalmology knowledge and skills may become marginalized. This survey aims to evaluate the current state of undergraduate ophthalmology teaching in Australasia and proximate Asian medical schools. A questionnaire was developed to determine the content and extent of ophthalmology teaching in the undergraduate medical curriculum. The questionnaire was sent to 25 medical schools throughout Australasia and Asia. Nineteen of the 25 questionnaires were returned (76% response rate). Ophthalmology teaching programmes ranged from 2 to 20 days: five (26%) medical schools having one ophthalmology attachment; six schools (32%) two attachments; and the remainder three or more. Only seven of the schools taught all 13 ophthalmology topics recommended in current curriculum guidelines. Ocular examination (100%), lens and cataract (95%) and ocular manifestations of systemic disease (95%) were the most commonly taught topics, with intraocular tumours only covered by 10 schools (53%). Students in 14 schools (74%) attended ophthalmology operating theatre, but only two schools (11%) offered attendance at optometry clinics. Ten schools (53%) required a pass in ophthalmology to complete the academic year. Ophthalmology may increasingly be a small, or even absent, component of undergraduate medical curricula. Despite established international ophthalmology curriculum guidelines, this survey highlights significant lack of uniformity in their implementation.

  19. Marker-Based Multi-Sensor Fusion Indoor Localization System for Micro Air Vehicles.

    Science.gov (United States)

    Xing, Boyang; Zhu, Quanmin; Pan, Feng; Feng, Xiaoxue

    2018-05-25

    A novel multi-sensor fusion indoor localization algorithm based on ArUco marker is designed in this paper. The proposed ArUco mapping algorithm can build and correct the map of markers online with Grubbs criterion and K-mean clustering, which avoids the map distortion due to lack of correction. Based on the conception of multi-sensor information fusion, the federated Kalman filter is utilized to synthesize the multi-source information from markers, optical flow, ultrasonic and the inertial sensor, which can obtain a continuous localization result and effectively reduce the position drift due to the long-term loss of markers in pure marker localization. The proposed algorithm can be easily implemented in a hardware of one Raspberry Pi Zero and two STM32 micro controllers produced by STMicroelectronics (Geneva, Switzerland). Thus, a small-size and low-cost marker-based localization system is presented. The experimental results show that the speed estimation result of the proposed system is better than Px4flow, and it has the centimeter accuracy of mapping and positioning. The presented system not only gives satisfying localization precision, but also has the potential to expand other sensors (such as visual odometry, ultra wideband (UWB) beacon and lidar) to further improve the localization performance. The proposed system can be reliably employed in Micro Aerial Vehicle (MAV) visual localization and robotics control.

  20. Fingerprinting Localization Method Based on TOA and Particle Filtering for Mines

    Directory of Open Access Journals (Sweden)

    Boming Song

    2017-01-01

    Full Text Available Accurate target localization technology plays a very important role in ensuring mine safety production and higher production efficiency. The localization accuracy of a mine localization system is influenced by many factors. The most significant factor is the non-line of sight (NLOS propagation error of the localization signal between the access point (AP and the target node (Tag. In order to improve positioning accuracy, the NLOS error must be suppressed by an optimization algorithm. However, the traditional optimization algorithms are complex and exhibit poor optimization performance. To solve this problem, this paper proposes a new method for mine time of arrival (TOA localization based on the idea of comprehensive optimization. The proposed method utilizes particle filtering to reduce the TOA data error, and the positioning results are further optimized with fingerprinting based on the Manhattan distance. This proposed method combines the advantages of particle filtering and fingerprinting localization. It reduces algorithm complexity and has better error suppression performance. The experimental results demonstrate that, as compared to the symmetric double-sided two-way ranging (SDS-TWR method or received signal strength indication (RSSI based fingerprinting method, the proposed method has a significantly improved localization performance, and the environment adaptability is enhanced.

  1. An Information-Based Approach to Precision Analysis of Indoor WLAN Localization Using Location Fingerprint

    Directory of Open Access Journals (Sweden)

    Mu Zhou

    2015-12-01

    Full Text Available In this paper, we proposed a novel information-based approach to precision analysis of indoor wireless local area network (WLAN localization using location fingerprint. First of all, by using the Fisher information matrix (FIM, we derive the fundamental limit of WLAN fingerprint-based localization precision considering different signal distributions in characterizing the variation of received signal strengths (RSSs in the target environment. After that, we explore the relationship between the localization precision and access point (AP placement, which can provide valuable suggestions for the design of the highly-precise localization system. Second, we adopt the heuristic simulated annealing (SA algorithm to optimize the AP locations for the sake of approaching the fundamental limit of localization precision. Finally, the extensive simulations and experiments are conducted in both regular line-of-sight (LOS and irregular non-line-of-sight (NLOS environments to demonstrate that the proposed approach can not only effectively improve the WLAN fingerprint-based localization precision, but also reduce the time overhead.

  2. Marker-Based Multi-Sensor Fusion Indoor Localization System for Micro Air Vehicles

    Directory of Open Access Journals (Sweden)

    Boyang Xing

    2018-05-01

    Full Text Available A novel multi-sensor fusion indoor localization algorithm based on ArUco marker is designed in this paper. The proposed ArUco mapping algorithm can build and correct the map of markers online with Grubbs criterion and K-mean clustering, which avoids the map distortion due to lack of correction. Based on the conception of multi-sensor information fusion, the federated Kalman filter is utilized to synthesize the multi-source information from markers, optical flow, ultrasonic and the inertial sensor, which can obtain a continuous localization result and effectively reduce the position drift due to the long-term loss of markers in pure marker localization. The proposed algorithm can be easily implemented in a hardware of one Raspberry Pi Zero and two STM32 micro controllers produced by STMicroelectronics (Geneva, Switzerland. Thus, a small-size and low-cost marker-based localization system is presented. The experimental results show that the speed estimation result of the proposed system is better than Px4flow, and it has the centimeter accuracy of mapping and positioning. The presented system not only gives satisfying localization precision, but also has the potential to expand other sensors (such as visual odometry, ultra wideband (UWB beacon and lidar to further improve the localization performance. The proposed system can be reliably employed in Micro Aerial Vehicle (MAV visual localization and robotics control.

  3. Surface effects on static bending of nanowires based on non-local elasticity theory

    Directory of Open Access Journals (Sweden)

    Quan Wu

    2015-10-01

    Full Text Available The surface elasticity and non-local elasticity effects on the elastic behavior of statically bent nanowires are investigated in the present investigation. Explicit solutions are presented to evaluate the surface stress and non-local elasticity effects with various boundary conditions. Compared with the classical Euler beam, a nanowire with surface stress and/or non-local elasticity can be either stiffer or less stiff, depending on the boundary conditions. The concept of surface non-local elasticity was proposed and its physical interpretation discussed to explain the combined effect of surface elasticity and non-local elasticity. The effect of the nanowire size on its elastic bending behavior was investigated. The results obtained herein are helpful to characterize mechanical properties of nanowires and aid nanowire-based devices design.

  4. An MEF-Based Localization Algorithm against Outliers in Wireless Sensor Networks.

    Science.gov (United States)

    Wang, Dandan; Wan, Jiangwen; Wang, Meimei; Zhang, Qiang

    2016-07-07

    Precise localization has attracted considerable interest in Wireless Sensor Networks (WSNs) localization systems. Due to the internal or external disturbance, the existence of the outliers, including both the distance outliers and the anchor outliers, severely decreases the localization accuracy. In order to eliminate both kinds of outliers simultaneously, an outlier detection method is proposed based on the maximum entropy principle and fuzzy set theory. Since not all the outliers can be detected in the detection process, the Maximum Entropy Function (MEF) method is utilized to tolerate the errors and calculate the optimal estimated locations of unknown nodes. Simulation results demonstrate that the proposed localization method remains stable while the outliers vary. Moreover, the localization accuracy is highly improved by wisely rejecting outliers.

  5. The detection of local irreversibility in time series based on segmentation

    Science.gov (United States)

    Teng, Yue; Shang, Pengjian

    2018-06-01

    We propose a strategy for the detection of local irreversibility in stationary time series based on multiple scale. The detection is beneficial to evaluate the displacement of irreversibility toward local skewness. By means of this method, we can availably discuss the local irreversible fluctuations of time series as the scale changes. The method was applied to simulated nonlinear signals generated by the ARFIMA process and logistic map to show how the irreversibility functions react to the increasing of the multiple scale. The method was applied also to series of financial markets i.e., American, Chinese and European markets. The local irreversibility for different markets demonstrate distinct characteristics. Simulations and real data support the need of exploring local irreversibility.

  6. Environmental Communication Based on Local Wisdom In Anticipation of Citarum Flood

    Directory of Open Access Journals (Sweden)

    Iriana Bakti

    2017-06-01

    Full Text Available Management of watersheds becomes part of a government program. This was conducted to anticipate the floods that hit the settlement. But the program is hard to do without the active role of the community, therefore the communication activities were undertaken based on local wisdom. The purpose of this paper is to find out about the environmental communication based on local wisdom in the Citarum Watershed. The method used is in the form of interviews and participant observation. As for the results obtained are: local wisdom is utilized by the environment actuator in the Citarum watershed management in the form of the proverb, rituals, and the environment preservation. Local wisdom by the environment actuator is meant as a way in, and domain in conducting environmental communication. In addition, local wisdom considered by the environment actuator as the ethic to be met in interacts with the target communities. Implementation of environmental communication activities with local wisdom based on the Citarum is done through a personal approach to some of the social and religious figures by using the communication channels of the group in the forum -the farmers group, majelis ta’lim, and community empowerment, which proceeds in a dialogical way to reach mutual agreement based on mutual trust among the participants of the environmental communication

  7. Model-based leakage localization in drinking water distribution networks using structured residuals

    OpenAIRE

    Puig Cayuela, Vicenç; Rosich, Albert

    2013-01-01

    In this paper, a new model based approach to leakage localization in drinking water networks is proposed based on generating a set of structured residuals. The residual evaluation is based on a numerical method based on an enhanced Newton-Raphson algorithm. The proposed method is suitable for water network systems because the non-linearities of the model make impossible to derive analytical residuals. Furthermore, the computed residuals are designed so that leaks are decoupled, which impro...

  8. A Variational Level Set Approach Based on Local Entropy for Image Segmentation and Bias Field Correction.

    Science.gov (United States)

    Tang, Jian; Jiang, Xiaoliang

    2017-01-01

    Image segmentation has always been a considerable challenge in image analysis and understanding due to the intensity inhomogeneity, which is also commonly known as bias field. In this paper, we present a novel region-based approach based on local entropy for segmenting images and estimating the bias field simultaneously. Firstly, a local Gaussian distribution fitting (LGDF) energy function is defined as a weighted energy integral, where the weight is local entropy derived from a grey level distribution of local image. The means of this objective function have a multiplicative factor that estimates the bias field in the transformed domain. Then, the bias field prior is fully used. Therefore, our model can estimate the bias field more accurately. Finally, minimization of this energy function with a level set regularization term, image segmentation, and bias field estimation can be achieved. Experiments on images of various modalities demonstrated the superior performance of the proposed method when compared with other state-of-the-art approaches.

  9. Artificially intelligent recognition of Arabic speaker using voice print-based local features

    Science.gov (United States)

    Mahmood, Awais; Alsulaiman, Mansour; Muhammad, Ghulam; Akram, Sheeraz

    2016-11-01

    Local features for any pattern recognition system are based on the information extracted locally. In this paper, a local feature extraction technique was developed. This feature was extracted in the time-frequency plain by taking the moving average on the diagonal directions of the time-frequency plane. This feature captured the time-frequency events producing a unique pattern for each speaker that can be viewed as a voice print of the speaker. Hence, we referred to this technique as voice print-based local feature. The proposed feature was compared to other features including mel-frequency cepstral coefficient (MFCC) for speaker recognition using two different databases. One of the databases used in the comparison is a subset of an LDC database that consisted of two short sentences uttered by 182 speakers. The proposed feature attained 98.35% recognition rate compared to 96.7% for MFCC using the LDC subset.

  10. IMPACT OF SOCIAL CAPITAL CHARACTERISTICS ON THE EFFECTIVENESS OF COMMUNITY-BASED APPROACH TO LOCAL DEVELOPMENT

    Directory of Open Access Journals (Sweden)

    N. Grazhevska

    2013-10-01

    Full Text Available The article examines the impact of social capital characteristics of local communities on the effectiveness of the community-based approach to economic development. The conclusion that such social capital characteristics as (antipaternalism, solidarity and cooperation have the greatest importance for the economic development is made based on the analysis of UNDP and the European Union project “Community-based approach to local development”. It was hypothesized that the creation of community organizations could be an effective mechanism to actualize the existing social capital of rural communities in Ukraine.

  11. Comparison and combination of "direct" and fragment based local correlation methods: Cluster in molecules and domain based local pair natural orbital perturbation and coupled cluster theories

    Science.gov (United States)

    Guo, Yang; Becker, Ute; Neese, Frank

    2018-03-01

    Local correlation theories have been developed in two main flavors: (1) "direct" local correlation methods apply local approximation to the canonical equations and (2) fragment based methods reconstruct the correlation energy from a series of smaller calculations on subsystems. The present work serves two purposes. First, we investigate the relative efficiencies of the two approaches using the domain-based local pair natural orbital (DLPNO) approach as the "direct" method and the cluster in molecule (CIM) approach as the fragment based approach. Both approaches are applied in conjunction with second-order many-body perturbation theory (MP2) as well as coupled-cluster theory with single-, double- and perturbative triple excitations [CCSD(T)]. Second, we have investigated the possible merits of combining the two approaches by performing CIM calculations with DLPNO methods serving as the method of choice for performing the subsystem calculations. Our cluster-in-molecule approach is closely related to but slightly deviates from approaches in the literature since we have avoided real space cutoffs. Moreover, the neglected distant pair correlations in the previous CIM approach are considered approximately. Six very large molecules (503-2380 atoms) were studied. At both MP2 and CCSD(T) levels of theory, the CIM and DLPNO methods show similar efficiency. However, DLPNO methods are more accurate for 3-dimensional systems. While we have found only little incentive for the combination of CIM with DLPNO-MP2, the situation is different for CIM-DLPNO-CCSD(T). This combination is attractive because (1) the better parallelization opportunities offered by CIM; (2) the methodology is less memory intensive than the genuine DLPNO-CCSD(T) method and, hence, allows for large calculations on more modest hardware; and (3) the methodology is applicable and efficient in the frequently met cases, where the largest subsystem calculation is too large for the canonical CCSD(T) method.

  12. The role local initiatives in community based disaster risk management in Kemijen, Semarang City

    Science.gov (United States)

    Fauzie, W. Z.; Sariffudin, S.

    2017-06-01

    Community-based disaster risk reduction is one of the homegrown initiatives efforts and community empowerment oriented in disaster management. This approach is very important because no one can understand the conditions in a region better than the local communities. Therefore, the implementation of CBDRM always emphasize local initiatives in decision making. The existence of local initiative is necessary specially to anticipate the impact of climate change which is increasingly affecting towns in coastal areas, including settlements in Semarang. Kemijen Urban Village is one of the informal settlements in Semarang, which has the highest intensity of flood that is 12 times during 5 years (2011-2015). The research question is how the level of local initiatives in flood disaster management in Kemijen, Semarang? This study aims to assess the level of local initiatives in Kemijen as the community adaptive capacity of flood prevention in pre-disaster, emergency response, and post-disaster. Local initiatives assessed on water supply, sanitation, food, shelter, health, drainage maintenance and waste management. This study shows the level of local initiatives in pre-disaster and post-disaster is almost same and bigger than the response phase. Scoring results showed that pre-disaster is 35.002, 27.9577 for emergency response, and post-disaster is 34.9862 with each category that is independent, empowered, and independent. This study also shows that local initiatives in Kemijen largely formed by individual initiative and only a few were formed by a collective initiative.

  13. Correlation between local structure and stability of supercooled liquid state in Zr-based metallic glasses

    International Nuclear Information System (INIS)

    Saida, Junji; Imafuku, Muneyuki; Sato, Shigeo; Sanada, Takashi; Matsubara, Eiichiro; Inoue, Akihisa

    2007-01-01

    The correlation between the local structure and stability of supercooled liquid state is investigated in the Zr 70 (Ni, Cu) 30 binary and Zr 70 Al 10 (Ni, Cu) 20 (numbers indicate at.%) ternary metallic glasses. The Zr 70 Ni 30 binary amorphous alloy with a low stability of supercooled liquid state has a tetragonal Zr 2 Ni-like local structure around Ni atom. Meanwhile, the Zr 70 Cu 30 binary metallic glass has a different local structure of tetragonal Zr 2 Cu, where we suggest the icosahedral local structure by the quasicrystallization behavior in addition of a very small amount of noble metals. The effect of Al addition on the local structure in the Zr-Ni alloy is also examined. We have investigated that the dominant local structure changes in the icosahedral-like structure from the tetragonal Zr 2 Ni-like local structure by the Al substitution with Ni accompanying with the significant stabilization of supercooled liquid state. It is concluded that the formation of icosahedral local structure contributes to the enhancement of stability of supercooled liquid state in the Zr-based alloys

  14. Baby steps: The expanding financial base of local government in Ireland

    Directory of Open Access Journals (Sweden)

    Considine John

    2015-08-01

    Full Text Available There are two essential elements to this paper. In the first instance, we explore the specific details of revenue and expenditure trends for local authorities over the last decade. The analysis is framed against a longer-term political context of forty years which focuses especially on the weakness of local government in Ireland. Despite an official narrative of financial overdependence on central government, the comparative examination of budgetary records of local authorities reveals considerable diversity in both the revenue and expenditure patterns of authorities across the state. While some authorities are heavily reliant on central government funding, others have a much stronger base of local funding, and indeed the financial crisis since 2008 may have increased these differences. The second dimension to the research is an exploration of the impact of the great recession from 2008 on local government finance in Ireland. Using a framework of new institutionalism, we identify the crisis as another critical moment for local government. We consider the political, economic and administrative variables which have brought local government to a financial crossroads, and we explore the potential for long-lasting financial change in local government, as well as speculating on the nature and outcome of that change.

  15. A Practical, Robust and Fast Method for Location Localization in Range-Based Systems.

    Science.gov (United States)

    Huang, Shiping; Wu, Zhifeng; Misra, Anil

    2017-12-11

    Location localization technology is used in a number of industrial and civil applications. Real time location localization accuracy is highly dependent on the quality of the distance measurements and efficiency of solving the localization equations. In this paper, we provide a novel approach to solve the nonlinear localization equations efficiently and simultaneously eliminate the bad measurement data in range-based systems. A geometric intersection model was developed to narrow the target search area, where Newton's Method and the Direct Search Method are used to search for the unknown position. Not only does the geometric intersection model offer a small bounded search domain for Newton's Method and the Direct Search Method, but also it can self-correct bad measurement data. The Direct Search Method is useful for the coarse localization or small target search domain, while the Newton's Method can be used for accurate localization. For accurate localization, by utilizing the proposed Modified Newton's Method (MNM), challenges of avoiding the local extrema, singularities, and initial value choice are addressed. The applicability and robustness of the developed method has been demonstrated by experiments with an indoor system.

  16. A Mobile Anchor Assisted Localization Algorithm Based on Regular Hexagon in Wireless Sensor Networks

    Science.gov (United States)

    Rodrigues, Joel J. P. C.

    2014-01-01

    Localization is one of the key technologies in wireless sensor networks (WSNs), since it provides fundamental support for many location-aware protocols and applications. Constraints of cost and power consumption make it infeasible to equip each sensor node in the network with a global position system (GPS) unit, especially for large-scale WSNs. A promising method to localize unknown nodes is to use several mobile anchors which are equipped with GPS units moving among unknown nodes and periodically broadcasting their current locations to help nearby unknown nodes with localization. This paper proposes a mobile anchor assisted localization algorithm based on regular hexagon (MAALRH) in two-dimensional WSNs, which can cover the whole monitoring area with a boundary compensation method. Unknown nodes calculate their positions by using trilateration. We compare the MAALRH with HILBERT, CIRCLES, and S-CURVES algorithms in terms of localization ratio, localization accuracy, and path length. Simulations show that the MAALRH can achieve high localization ratio and localization accuracy when the communication range is not smaller than the trajectory resolution. PMID:25133212

  17. Improving Public Schools through the Dissent of Parents: Opting out of Tests, Demanding Alternative Curricula, Invoking Parent Trigger Laws, and Withdrawing Entirely

    Science.gov (United States)

    Stitzlein, Sarah M.

    2015-01-01

    Some parents and caregivers, frustrated by low academic performance of their local school, emphasis on testing, or the content of the curriculum, have worked independently or formed parent groups to speak out and demand improvements. Parents and families enact solutions such as opting out of tests, developing alternative curricula, invoking parent…

  18. Curriculum: Integrating Health and Safety Into Engineering Curricula.

    Science.gov (United States)

    Talty, John T.

    1985-01-01

    National Institute for Occupational Safety and Health instituted a project in 1980 to encourage engineering educators to focus on occupational safety and health issues in engineering curricula. Progress to date is outlined, considering specific results in curriculum development, engineering society interaction, and formation of a teaching…

  19. Visual and Plastic Arts in Teaching Literacy: Null Curricula?

    Science.gov (United States)

    Wakeland, Robin Gay

    2010-01-01

    Visual and plastic arts in contemporary literacy instruction equal null curricula. Studies show that painting and sculpture facilitate teaching reading and writing (literacy), yet such pedagogy has not been formally adopted into USA curriculum. An example of null curriculum can be found in late 19th - early 20th century education the USA…

  20. The benefit of introducing audit software into curricula for computer ...

    African Journals Online (AJOL)

    The benefit of introducing audit software into curricula for computer auditing students: a student perspective from the University of Pretoria. ... willing to sacrifice more of their time for practical computer classes because they are aware of the beneficial impact on their understanding of the subject as well as their future careers.

  1. Success factors of master of science curricula in business administration

    NARCIS (Netherlands)

    Bijker, Monique; Van der Klink, Marcel; Boshuizen, Els

    2010-01-01

    Bijker, M. M., Van der Klink, M. R., & Boshuizen, H. P. A. (2010, 25-27 August). Success factors of master of science curricula in business administration. Paper presented at the 5th EARLI-SIG14, Learning and Professional Development, Munich, Germany.

  2. Teaching the Culturally Different: A Multicultural Framework for School Curricula.

    Science.gov (United States)

    Whalon, Constance; Karr-Kidwell, PJ

    A multicultural framework for school curricula directed toward the culturally different was developed for implementation of court ordered multicultural education goals at the H. S. Thompson Learning Center of the Dallas (Texas) Independent School District. The philosophy of multicultural education suggests that ethnic diversity and cultural…

  3. Algebraic Concepts: What's Really New in New Curricula?

    Science.gov (United States)

    Star, Jon R.; Herbel-Eisenmann, Beth A.; Smith, John P., III

    2000-01-01

    Examines 8th grade units from the Connected Mathematics Project (CMP). Identifies differences in older and newer conceptions, fundamental objects of study, typical problems, and typical solution methods in algebra. Also discusses where the issue of what is new in algebra is relevant to many other innovative middle school curricula. (KHR)

  4. Patient safety in undergraduate radiography curricula: A European perspective

    International Nuclear Information System (INIS)

    England, A.; Azevedo, K.B.; Bezzina, P.; Henner, A.; McNulty, J.P.

    2016-01-01

    Purpose: To establish an understanding of patient safety within radiography education across Europe by surveying higher education institutions registered as affiliate members of the European Federation of Radiographer Societies (EFRS). Method: An online survey was developed to ascertain data on: programme type, patient safety definitions, relevant safety topics, specific areas taught, teaching and assessment methods, levels of teaching and curriculum drivers. Responses were identifiable in terms of educational institution and country. All 54 affiliated educational institutions were invited to participate. Descriptive and thematic analyses are reported. Results: A response rate of 61.1% (n = 33) was achieved from educational institutions representing 19 countries. Patient safety topics appear to be extremely well covered across curricula, however, topics including radiation protection and optimisation were not reported as being taught at an ‘advanced level’ by five and twelve respondents, respectively. Respondents identified the clinical department as the location of most patient safety-related teaching. Conclusions: Patient safety topics are deeply embedded within radiography curricula across Europe. Variations exist in terms of individual safety topics including, teaching and assessment methods, and the depth in which subjects are taught. Results from this study provide a baseline for assessing developments in curricula and can also serve as a benchmark for comparisons. - Highlights: • First European report on patient safety (PS). • PS deeply embedded within training curricula. • Terms and definitions largely consistent. • Some variety in the delivery and assessment methods. • Report provides baseline and opportunities for comparisons.

  5. The Status of Fluid Mechanics in Bioengineering Curricula.

    Science.gov (United States)

    Miller, Gerald E.; Hyman, William A.

    1981-01-01

    Describes the status of fluid mechanics courses in bioengineering curricula. A survey of institutions offering bioengineering degrees indicates that over half do not require fluid mechanics courses. Suggests increasing number of mechanics courses to increase the quality of bioengineering students and to prepare students for graduate work and more…

  6. Matrices to Revise Crop, Soil, and Environmental Sciences Undergraduate Curricula

    Science.gov (United States)

    Savin, Mary C.; Longer, David; Miller, David M.

    2005-01-01

    Undergraduate curricula for natural resource and agronomic programs have been introduced and revised during the past several decades with a desire to stay current with emerging issues and technologies relevant to constituents. For the past decade, the Department of Crop, Soil, and Environmental Sciences (CSES) faculty at the University of Arkansas…

  7. Assessment of a Bioinformatics across Life Science Curricula Initiative

    Science.gov (United States)

    Howard, David R.; Miskowski, Jennifer A.; Grunwald, Sandra K.; Abler, Michael L.

    2007-01-01

    At the University of Wisconsin-La Crosse, we have undertaken a program to integrate the study of bioinformatics across the undergraduate life science curricula. Our efforts have included incorporating bioinformatics exercises into courses in the biology, microbiology, and chemistry departments, as well as coordinating the efforts of faculty within…

  8. Chinese Curricula of Medical Science in the Context of Globalization

    Science.gov (United States)

    Zeng, Jinyuan

    2018-01-01

    As China runs towards the forefront of global economic power, people begin to pay growing attention to the quality of life and medical education that play a significant role in sustaining the development by providing healthier labor force. It is evident that in the process of globalization new curricula in line with international standards top…

  9. A Model for the Development of University Curricula in Nanoelectronics

    Science.gov (United States)

    Bruun, E.; Nielsen, I.

    2010-01-01

    Nanotechnology is having an increasing impact on university curricula in electrical engineering and in physics. Major influencers affecting developments in university programmes related to nanoelectronics are discussed and a model for university programme development is described. The model takes into account that nanotechnology affects not only…

  10. Curricula and Organization of Primary Care Residencies in Internal Medicine.

    Science.gov (United States)

    Eisenberg, John M.

    1980-01-01

    The organization and curricula of internal medicine residencies programs that emphasize primary care are described and compared with traditional residencies in internal medicine. It is noted that primary care residents spend more time in ambulatory care and are allowed more electives in specialties outside of internal medicine. Out-of-hospital…

  11. Honors Thesis Preparation: Evidence of the Benefits of Structured Curricula

    Science.gov (United States)

    Engel, Steven

    2016-01-01

    A recent study of honors curricula across the nation indicates that 75.6% of honors programs and colleges at four-year institutions have thesis or capstone requirements (Savage and Cognard-Black). In addition to institutions with thesis requirements, many more also have the option for students to complete theses. For example, an earlier study…

  12. Importance of Cross-Cultural Counseling in Rehabilitation Counseling Curricula.

    Science.gov (United States)

    Watson, Albert L.

    1988-01-01

    Ninety-one members of the National Council on Rehabilitation Education were surveyed concerning the level of importance placed on cross-cultural content in rehabilitation counselor education curricula. Respondents rated 27 of 32 cross-cultural educational offerings as important, and identified seven additional offerings. Respondents' demographic…

  13. Lesbian, gay, bisexual, transgendered, or intersexed content for nursing curricula.

    Science.gov (United States)

    Brennan, Ann Marie Walsh; Barnsteiner, Jane; Siantz, Mary Lou de Leon; Cotter, Valeri T; Everett, Janine

    2012-01-01

    There has been limited identification of core lesbian, gay, bisexual, transgendered, or intersexed (LGBTI) experience concepts that should be included in the nursing curricula. This article addresses the gap in the literature. To move nursing toward the goals of health equity and cultural humility in practice, education, and research, nursing curricula must integrate core LGBTI concepts, experiences, and needs related to health and illness. This article reviews LGBTI health care literature to address the attitudes, knowledge, and skills needed to address curricular gaps and provide content suggestions for inclusion in nursing curricula. Also considered is the need to expand nursing students' definition of diversity before discussing the interplay between nurses' attitudes and culturally competent care provided to persons who are LGBTI. Knowledge needed includes a life span perspective that addresses developmental needs and their impact on health concerns throughout the life course; health promotion and disease prevention with an articulation of unique health issues for this population; mental health concerns; specific health needs of transgender and intersex individuals; barriers to health care; interventions and resources including Internet sites; and legal and policy issues. Particular assessment and communication skills for LGBTI patients are identified. Finally, there is a discussion of didactic, simulation, and clinical strategies for incorporating this content into nursing curricula at the undergraduate and graduate levels. Copyright © 2012 Elsevier Inc. All rights reserved.

  14. Inclusion of disability-related content in nurse practitioner curricula.

    Science.gov (United States)

    Smeltzer, Suzanne C; Blunt, Elizabeth; Marozsan, Heather; Wetzel-Effinger, Lisa

    2015-04-01

    To examine the integration of disability-content in a national sample of nurse practitioner curricula. Responses of National Organization of Nurse Practitioner Faculties (NONPF) members to an online 34-item survey designed to assess disability-related content included in nurse practitioner (NP) curricula; populations of people with disabilities addressed; models of disability; and resources used to teach about disability, facilitators and barriers to inclusion of disability, and respondents' assessment of the adequacy of coverage of disability in their programs. A survey used previously to assess integration of disability content in undergraduate nursing programs was modified to make it relevant to NP curricula. Nursing faculty and people with disability validated the survey to ensure its completeness and sensitivity to the disability community. Participating programs represent 111 (33.6%) NP programs. Lack of disability-related content reported by NP faculty in the majority of programs suggests that there is considerable room for improvement in efforts to address this often vulnerable population. Because people with disabilities can be found in any setting where health care is provided, all NPs need to be prepared to care for people with disabilities across the life span. Strategies need to be developed and implemented to increase the awareness of NP faculty about the health issues of people with disabilities and integration of disability-related content without disrupting existing overloaded NP curricula. © 2014 American Association of Nurse Practitioners.

  15. Developing Holocaust Curricula: The Content Decision-Making Process

    Science.gov (United States)

    Lindquist, David H.

    2008-01-01

    The content decision-making process involved in developing Holocaust curricula is unusually complex and problematic. Educators must consider factors such as historical accuracy, selection of topics covered, potential teaching materials (such as textbooks and literary texts), and graphic materials (such as films and photographs) as they plan their…

  16. Engineering Faculty Attitudes to General Chemistry Courses in Engineering Curricula

    Science.gov (United States)

    Garip, Mehmet; Erdil, Erzat; Bilsel, Ayhan

    2006-01-01

    A survey on the attitudes of engineering faculty to chemistry, physics, and mathematics was conducted with the aim of clarifying the attitudes of engineering faculty to chemistry courses in relation to engineering education or curricula and assessing their expectations. The results confirm that on the whole chemistry is perceived as having a…

  17. Sustainability Champions? Academic Identities and Sustainability Curricula in Higher Education

    Science.gov (United States)

    Wood, Bronwyn E.; Cornforth, Sue; Beals, Fiona; Taylor, Mike; Tallon, Rachel

    2016-01-01

    Purpose: The purpose of this paper is to explore the experiences of academic staff who are committed to embedding sustainability within tertiary curricula and pedagogy. Design/Methodology/Approach: The focus of this paper is on a New Zealand university. A survey of staff was undertaken and in-depth interviews conducted with 11 sustainability…

  18. The Current Landscape of the School Librarianship Curricula in USA

    Science.gov (United States)

    Yi, Kwan; Turner, Ralph

    2014-01-01

    The current landscape of the School Librarianship educational programs and curricula of master's degrees in the USA has been explored. The master's programs are currently offered in the following four venues: (1) programs that are American Library Association (ALA) accredited but not American Association of School Librarians (AASL) recognized,…

  19. Least-squares reverse time migration with local Radon-based preconditioning

    KAUST Repository

    Dutta, Gaurav

    2017-03-08

    Least-squares migration (LSM) can produce images with better balanced amplitudes and fewer artifacts than standard migration. The conventional objective function used for LSM minimizes the L2-norm of the data residual between the predicted and the observed data. However, for field-data applications in which the recorded data are noisy and undersampled, the conventional formulation of LSM fails to provide the desired uplift in the quality of the inverted image. We have developed a leastsquares reverse time migration (LSRTM) method using local Radon-based preconditioning to overcome the low signal-tonoise ratio (S/N) problem of noisy or severely undersampled data. A high-resolution local Radon transform of the reflectivity is used, and sparseness constraints are imposed on the inverted reflectivity in the local Radon domain. The sparseness constraint is that the inverted reflectivity is sparse in the Radon domain and each location of the subsurface is represented by a limited number of geologic dips. The forward and the inverse mapping of the reflectivity to the local Radon domain and vice versa is done through 3D Fourier-based discrete Radon transform operators. The weights for the preconditioning are chosen to be varying locally based on the relative amplitudes of the local dips or assigned using quantile measures. Numerical tests on synthetic and field data validate the effectiveness of our approach in producing images with good S/N and fewer aliasing artifacts when compared with standard RTM or standard LSRTM.

  20. Local high precision 3D measurement based on line laser measuring instrument

    Science.gov (United States)

    Zhang, Renwei; Liu, Wei; Lu, Yongkang; Zhang, Yang; Ma, Jianwei; Jia, Zhenyuan

    2018-03-01

    In order to realize the precision machining and assembly of the parts, the geometrical dimensions of the surface of the local assembly surfaces need to be strictly guaranteed. In this paper, a local high-precision three-dimensional measurement method based on line laser measuring instrument is proposed to achieve a high degree of accuracy of the three-dimensional reconstruction of the surface. Aiming at the problem of two-dimensional line laser measuring instrument which lacks one-dimensional high-precision information, a local three-dimensional profile measuring system based on an accurate single-axis controller is proposed. First of all, a three-dimensional data compensation method based on spatial multi-angle line laser measuring instrument is proposed to achieve the high-precision measurement of the default axis. Through the pretreatment of the 3D point cloud information, the measurement points can be restored accurately. Finally, the target spherical surface is needed to make local three-dimensional scanning measurements for accuracy verification. The experimental results show that this scheme can get the local three-dimensional information of the target quickly and accurately, and achieves the purpose of gaining the information and compensating the error for laser scanner information, and improves the local measurement accuracy.

  1. History of Medicine in US Medical School Curricula.

    Science.gov (United States)

    Caramiciu, Justin; Arcella, David; Desai, Manisha S

    2015-10-01

    To determine the extent to which the history of medicine (HOM) and its related topics are included within the curriculum of accredited medical schools in the United States. Survey instrument. US allopathic medical schools. An online survey was sent to officials from every medical school in the US. Respondents were asked to provide institutional identifiers, the presence of an HOM elective offered to medical students, the years during which the elective is offered, the existence of an HOM department, and the contact information for that particular department. Nonresponders were contacted by phone to elicit the same information. History of medicine electives included didactic sessions and seminars with varying degrees of credit offered in different years of medical school. Based on responses from 119 of 121 contacted medical schools (98%), 45 (37%) included formal lectures or weekly seminars in the medical school curriculum. Five (11%) curricula had or have required HOM, whereas 89% offered elective HOM instruction. Course duration and credit awarded varied. Eighteen (15%) medical schools included departments dedicated to HOM. Providing education in HOM was limited by faculty interest, clinical training hours, and low interest. Data collected by our study suggest that substantial barriers exist within the academic medical community towards a wider acceptance of the importance of HOM. Causes for such lack of interest include absence of questions on written or oral tests related to HOM, difficulty in publishing articles related to HOM in peer reviewed journals, near absence of research grants in HOM, difficulty in getting academic promotions or recognition for activities related to HOM, and a lack of support from academic chairpersons for activities related to HOM. Copyright © 2015 Anesthesia History Association. Published by Elsevier Inc. All rights reserved.

  2. Individual class evaluation and effective teaching characteristics in integrated curricula.

    Science.gov (United States)

    Hwang, Jung Eun; Kim, Na Jin; Song, Meiying; Cui, Yinji; Kim, Eun Ju; Park, In Ae; Lee, Hye In; Gong, Hye Jin; Kim, Su Young

    2017-12-12

    In an integrated curriculum, multiple instructors take part in a course in the form of team teaching. Accordingly, medical schools strive to manage each course run by numerous instructors. As part of the curriculum management, course evaluation is conducted, but a single, retrospective course evaluation does not comprehensively capture student perception of classes by different instructors. This study aimed to demonstrate the need for individual class evaluation, and further to identify teaching characteristics that instructors need to keep in mind when preparing classes. From 2014 to 2015, students at one medical school left comments on evaluation forms after each class. Courses were also assessed after each course. Their comments were categorized by connotation (positive or negative) and by subject. Within each subject category, test scores were compared between positively and negatively mentioned classes. The Mann-Whitney U test was performed to test group differences in scores. The same method was applied to the course evaluation data. Test results for course evaluation showed group difference only in the practice/participation category. However, test results for individual class evaluation showed group differences in six categories: difficulty, main points, attitude, media/contents, interest, and materials. That is, the test scores of classes positively mentioned in six domains were significantly higher than those of negatively mentioned classes. It was proved that individual class evaluation is needed to manage multi-instructor courses in integrated curricula of medical schools. Based on the students' extensive feedback, we identified teaching characteristics statistically related to academic achievement. School authorities can utilize these findings to encourage instructors to develop effective teaching characteristics in class preparation.

  3. Impact localization in dispersive waveguides based on energy-attenuation of waves with the traveled distance

    Science.gov (United States)

    Alajlouni, Sa'ed; Albakri, Mohammad; Tarazaga, Pablo

    2018-05-01

    An algorithm is introduced to solve the general multilateration (source localization) problem in a dispersive waveguide. The algorithm is designed with the intention of localizing impact forces in a dispersive floor, and can potentially be used to localize and track occupants in a building using vibration sensors connected to the lower surface of the walking floor. The lower the wave frequencies generated by the impact force, the more accurate the localization is expected to be. An impact force acting on a floor, generates a seismic wave that gets distorted as it travels away from the source. This distortion is noticeable even over relatively short traveled distances, and is mainly caused by the dispersion phenomenon among other reasons, therefore using conventional localization/multilateration methods will produce localization error values that are highly variable and occasionally large. The proposed localization approach is based on the fact that the wave's energy, calculated over some time window, decays exponentially as the wave travels away from the source. Although localization methods that assume exponential decay exist in the literature (in the field of wireless communications), these methods have only been considered for wave propagation in non-dispersive media, in addition to the limiting assumption required by these methods that the source must not coincide with a sensor location. As a result, these methods cannot be applied to the indoor localization problem in their current form. We show how our proposed method is different from the other methods, and that it overcomes the source-sensor location coincidence limitation. Theoretical analysis and experimental data will be used to motivate and justify the pursuit of the proposed approach for localization in a dispersive medium. Additionally, hammer impacts on an instrumented floor section inside an operational building, as well as finite element model simulations, are used to evaluate the performance of

  4. Two-UAV Intersection Localization System Based on the Airborne Optoelectronic Platform.

    Science.gov (United States)

    Bai, Guanbing; Liu, Jinghong; Song, Yueming; Zuo, Yujia

    2017-01-06

    To address the limitation of the existing UAV (unmanned aerial vehicles) photoelectric localization method used for moving objects, this paper proposes an improved two-UAV intersection localization system based on airborne optoelectronic platforms by using the crossed-angle localization method of photoelectric theodolites for reference. This paper introduces the makeup and operating principle of intersection localization system, creates auxiliary coordinate systems, transforms the LOS (line of sight, from the UAV to the target) vectors into homogeneous coordinates, and establishes a two-UAV intersection localization model. In this paper, the influence of the positional relationship between UAVs and the target on localization accuracy has been studied in detail to obtain an ideal measuring position and the optimal localization position where the optimal intersection angle is 72.6318°. The result shows that, given the optimal position, the localization root mean square error (RMS) will be 25.0235 m when the target is 5 km away from UAV baselines. Finally, the influence of modified adaptive Kalman filtering on localization results is analyzed, and an appropriate filtering model is established to reduce the localization RMS error to 15.7983 m. Finally, An outfield experiment was carried out and obtained the optimal results: σ B = 1.63 × 10 - 4 ( ° ) , σ L = 1.35 × 10 - 4 ( ° ) , σ H = 15.8 ( m ) , σ s u m = 27.6 ( m ) , where σ B represents the longitude error, σ L represents the latitude error, σ H represents the altitude error, and σ s u m represents the error radius.

  5. Base Station Ordering for Emergency Call Localization in Ultra-dense Cellular Networks

    KAUST Repository

    Elsawy, Hesham

    2017-10-04

    This paper proposes the base station ordering localization technique (BoLT) for emergency call localization in cellular networks. Exploiting the foreseen ultra-densification of the next-generation (5G and beyond) cellular networks, we utilize higher-order Voronoi tessellations to provide ubiquitous localization services that are in compliance to the public safety standards in cellular networks. The proposed localization algorithm runs at the base stations (BSs) and requires minimal operation from agents (i.e., mobile users). Particularly, BoLT requires each agent to feedback a neighbor cell list (NCL) that contains the order of neighboring BSs based on the received signal power in the pilots sent from these BSs. Moreover, this paper utilizes stochastic geometry to develop a tractable mathematical model to assess the performance of BoLT in a general network setting. The goal of this paper is to answer the following two fundamental questions: i) how many BSs should be ordered and reported by the agent to achieve a desirable localization accuracy? and ii) what is the localization error probability given that the pilot signals are subject to shadowing? Assuming that the BSs are deployed according to a Poisson point process (PPP), we answer these two questions via characterizing the tradeoff between the area of location region (ALR) and the localization error probability in terms of the number of BSs ordered by the agent. The results show that reporting the order of six neighboring BSs is sufficient to localize the agent within 10% of the cell area. Increasing the number of reported BSs to ten confines the location region to 1% of the cell area. This would translate to the range of a few meters to decimeters in the foreseen ultra-dense 5G networks.

  6. Base Station Ordering for Emergency Call Localization in Ultra-dense Cellular Networks

    KAUST Repository

    Elsawy, Hesham; Dai, Wenhan; Alouini, Mohamed-Slim; Win, Moe Z.

    2017-01-01

    This paper proposes the base station ordering localization technique (BoLT) for emergency call localization in cellular networks. Exploiting the foreseen ultra-densification of the next-generation (5G and beyond) cellular networks, we utilize higher-order Voronoi tessellations to provide ubiquitous localization services that are in compliance to the public safety standards in cellular networks. The proposed localization algorithm runs at the base stations (BSs) and requires minimal operation from agents (i.e., mobile users). Particularly, BoLT requires each agent to feedback a neighbor cell list (NCL) that contains the order of neighboring BSs based on the received signal power in the pilots sent from these BSs. Moreover, this paper utilizes stochastic geometry to develop a tractable mathematical model to assess the performance of BoLT in a general network setting. The goal of this paper is to answer the following two fundamental questions: i) how many BSs should be ordered and reported by the agent to achieve a desirable localization accuracy? and ii) what is the localization error probability given that the pilot signals are subject to shadowing? Assuming that the BSs are deployed according to a Poisson point process (PPP), we answer these two questions via characterizing the tradeoff between the area of location region (ALR) and the localization error probability in terms of the number of BSs ordered by the agent. The results show that reporting the order of six neighboring BSs is sufficient to localize the agent within 10% of the cell area. Increasing the number of reported BSs to ten confines the location region to 1% of the cell area. This would translate to the range of a few meters to decimeters in the foreseen ultra-dense 5G networks.

  7. Cooperative Localization for Multi-AUVs Based on GM-PHD Filters and Information Entropy Theory

    Directory of Open Access Journals (Sweden)

    Lichuan Zhang

    2017-10-01

    Full Text Available Cooperative localization (CL is considered a promising method for underwater localization with respect to multiple autonomous underwater vehicles (multi-AUVs. In this paper, we proposed a CL algorithm based on information entropy theory and the probability hypothesis density (PHD filter, aiming to enhance the global localization accuracy of the follower. In the proposed framework, the follower carries lower cost navigation systems, whereas the leaders carry better ones. Meanwhile, the leaders acquire the followers’ observations, including both measurements and clutter. Then, the PHD filters are utilized on the leaders and the results are communicated to the followers. The followers then perform weighted summation based on all received messages and obtain a final positioning result. Based on the information entropy theory and the PHD filter, the follower is able to acquire a precise knowledge of its position.

  8. A Probabilistic Feature Map-Based Localization System Using a Monocular Camera.

    Science.gov (United States)

    Kim, Hyungjin; Lee, Donghwa; Oh, Taekjun; Choi, Hyun-Taek; Myung, Hyun

    2015-08-31

    Image-based localization is one of the most widely researched localization techniques in the robotics and computer vision communities. As enormous image data sets are provided through the Internet, many studies on estimating a location with a pre-built image-based 3D map have been conducted. Most research groups use numerous image data sets that contain sufficient features. In contrast, this paper focuses on image-based localization in the case of insufficient images and features. A more accurate localization method is proposed based on a probabilistic map using 3D-to-2D matching correspondences between a map and a query image. The probabilistic feature map is generated in advance by probabilistic modeling of the sensor system as well as the uncertainties of camera poses. Using the conventional PnP algorithm, an initial camera pose is estimated on the probabilistic feature map. The proposed algorithm is optimized from the initial pose by minimizing Mahalanobis distance errors between features from the query image and the map to improve accuracy. To verify that the localization accuracy is improved, the proposed algorithm is compared with the conventional algorithm in a simulation and realenvironments.

  9. A Probabilistic Feature Map-Based Localization System Using a Monocular Camera

    Directory of Open Access Journals (Sweden)

    Hyungjin Kim

    2015-08-01

    Full Text Available Image-based localization is one of the most widely researched localization techniques in the robotics and computer vision communities. As enormous image data sets are provided through the Internet, many studies on estimating a location with a pre-built image-based 3D map have been conducted. Most research groups use numerous image data sets that contain sufficient features. In contrast, this paper focuses on image-based localization in the case of insufficient images and features. A more accurate localization method is proposed based on a probabilistic map using 3D-to-2D matching correspondences between a map and a query image. The probabilistic feature map is generated in advance by probabilistic modeling of the sensor system as well as the uncertainties of camera poses. Using the conventional PnP algorithm, an initial camera pose is estimated on the probabilistic feature map. The proposed algorithm is optimized from the initial pose by minimizing Mahalanobis distance errors between features from the query image and the map to improve accuracy. To verify that the localization accuracy is improved, the proposed algorithm is compared with the conventional algorithm in a simulation and realenvironments

  10. State, Local and Tribal Resources for Creating Healthy Schools

    Science.gov (United States)

    This page will be a combination of three current pages on resources - ‘Resources for Healthier Schools’, ‘Schools: Student Curricula for Healthier School’ and ‘Schools: Regional, Tribal, State and Local Resources for Healthier Schools’ pages

  11. Ranking Based Locality Sensitive Hashing Enabled Cancelable Biometrics: Index-of-Max Hashing

    OpenAIRE

    Jin, Zhe; Lai, Yen-Lung; Hwang, Jung-Yeon; Kim, Soohyung; Teoh, Andrew Beng Jin

    2017-01-01

    In this paper, we propose a ranking based locality sensitive hashing inspired two-factor cancelable biometrics, dubbed "Index-of-Max" (IoM) hashing for biometric template protection. With externally generated random parameters, IoM hashing transforms a real-valued biometric feature vector into discrete index (max ranked) hashed code. We demonstrate two realizations from IoM hashing notion, namely Gaussian Random Projection based and Uniformly Random Permutation based hashing schemes. The disc...

  12. Teacher Education Curricula after the Bologna Process--A Comparative Analysis of Written Curricula in Finland and Estonia

    Science.gov (United States)

    Jakku-Sihvonen, Ritva; Tissari, Varpu; Ots, Aivar; Uusiautti, Satu

    2012-01-01

    During the Bologna process, from 2003 to 2006, degree programmes, including teacher education curricula, were developed in line with the two-tier system--the European Credit Transfer and Accumulation System (ECTS) and modularization. The purpose of the present study is to contribute to the development of teacher education profiling measures by…

  13. Improving UWB-Based Localization in IoT Scenarios with Statistical Models of Distance Error.

    Science.gov (United States)

    Monica, Stefania; Ferrari, Gianluigi

    2018-05-17

    Interest in the Internet of Things (IoT) is rapidly increasing, as the number of connected devices is exponentially growing. One of the application scenarios envisaged for IoT technologies involves indoor localization and context awareness. In this paper, we focus on a localization approach that relies on a particular type of communication technology, namely Ultra Wide Band (UWB). UWB technology is an attractive choice for indoor localization, owing to its high accuracy. Since localization algorithms typically rely on estimated inter-node distances, the goal of this paper is to evaluate the improvement brought by a simple (linear) statistical model of the distance error. On the basis of an extensive experimental measurement campaign, we propose a general analytical framework, based on a Least Square (LS) method, to derive a novel statistical model for the range estimation error between a pair of UWB nodes. The proposed statistical model is then applied to improve the performance of a few illustrative localization algorithms in various realistic scenarios. The obtained experimental results show that the use of the proposed statistical model improves the accuracy of the considered localization algorithms with a reduction of the localization error up to 66%.

  14. Underwater Broadband Source Localization Based on Modal Filtering and Features Extraction

    Directory of Open Access Journals (Sweden)

    Dominique Fattaccioli

    2010-01-01

    Full Text Available Passive source localization is a crucial issue in underwater acoustics. In this paper, we focus on shallow water environment (0 to 400 m and broadband Ultra-Low Frequency acoustic sources (1 to 100 Hz. In this configuration and at a long range, the acoustic propagation can be described by normal mode theory. The propagating signal breaks up into a series of depth-dependent modes. These modes carry information about the source position. Mode excitation factors and mode phases analysis allow, respectively, localization in depth and distance. We propose two different approaches to achieve the localization: multidimensional approach (using a horizontal array of hydrophones based on frequency-wavenumber transform (F-K method and monodimensional approach (using a single hydrophone based on adapted spectral representation (FTa method. For both approaches, we propose first complete tools for modal filtering, and then depth and distance estimators. We show that adding mode sign and source spectrum informations improves considerably the localization performance in depth. The reference acoustic field needed for depth localization is simulated with the new realistic propagation modelMoctesuma. The feasibility of both approaches, F-K and FTa, are validated on data simulated in shallow water for different configurations. The performance of localization, in depth and distance, is very satisfactory.

  15. Underwater Broadband Source Localization Based on Modal Filtering and Features Extraction

    Directory of Open Access Journals (Sweden)

    Cristol Xavier

    2010-01-01

    Full Text Available Passive source localization is a crucial issue in underwater acoustics. In this paper, we focus on shallow water environment (0 to 400 m and broadband Ultra-Low Frequency acoustic sources (1 to 100 Hz. In this configuration and at a long range, the acoustic propagation can be described by normal mode theory. The propagating signal breaks up into a series of depth-dependent modes. These modes carry information about the source position. Mode excitation factors and mode phases analysis allow, respectively, localization in depth and distance. We propose two different approaches to achieve the localization: multidimensional approach (using a horizontal array of hydrophones based on frequency-wavenumber transform ( method and monodimensional approach (using a single hydrophone based on adapted spectral representation ( method. For both approaches, we propose first complete tools for modal filtering, and then depth and distance estimators. We show that adding mode sign and source spectrum informations improves considerably the localization performance in depth. The reference acoustic field needed for depth localization is simulated with the new realistic propagation modelMoctesuma. The feasibility of both approaches, and , are validated on data simulated in shallow water for different configurations. The performance of localization, in depth and distance, is very satisfactory.

  16. Experimental Verification of a Vehicle Localization based on Moving Horizon Estimation Integrating LRS and Odometry

    International Nuclear Information System (INIS)

    Sakaeta, Kuniyuki; Nonaka, Kenichiro; Sekiguchi, Kazuma

    2016-01-01

    Localization is an important function for the robots to complete various tasks. For localization, both internal and external sensors are used generally. The odometry is widely used as the method based on the internal sensors, but it suffers from cumulative errors. In the method using the laser range sensor (LRS) which is a kind of external sensor, the estimation accuracy is affected by the number of available measurement data. In our previous study, we applied moving horizon estimation (MHE) to the vehicle localization for integrating the LRS measurement data and the odometry information where the weightings of them are balanced relatively adapting to the number of the available LRS measurement data. In this paper, the effectiveness of the proposed localization method is verified through both numerical simulations and experiments using a 1/10 scale vehicle. The verification is conducted in the situations where the vehicle position cannot be localized uniquely on a certain direction using the LRS measurement data only. We achieve accurate localization even in such a situation by integrating the odometry and LRS based on MHE. We also show the superiority of the method through comparisons with a method using extended Kalman filter (EKF). (paper)

  17. Autonomous Micro-Air-Vehicle Control Based on Visual Sensing for Odor Source Localization

    Directory of Open Access Journals (Sweden)

    Kenzo Kurotsuchi

    2017-07-01

    Full Text Available In this paper, we propose a novel control method for autonomous-odor-source localization using visual and odor sensing by micro air vehicles (MAVs. Our method is based on biomimetics, which enable highly autonomous localization. Our method does not need any instruction signals, including even global positioning system (GPS signals. An experimenter simply blows a whistle, and the MAV will then start to hover, to seek an odor source, and to keep hovering near the source. The GPS-signal-free control based on visual sense enables indoor/underground use. Moreover, the MAV is light-weight (85 grams and does not cause harm to others even if it accidentally falls. Experiments conducted in the real world were successful in enabling odor source localization using the MAV with a bio-inspired searching method. The distance error of the localization was 63 cm, more accurate than the target distance of 120 cm for individual identification. Our odor source localization is the first step to a proof of concept for a danger warning system. These localization experiments were the first step to a proof of concept for a danger warning system to enable a safer and more secure society.

  18. Structural-change localization and monitoring through a perturbation-based inverse problem.

    Science.gov (United States)

    Roux, Philippe; Guéguen, Philippe; Baillet, Laurent; Hamze, Alaa

    2014-11-01

    Structural-change detection and characterization, or structural-health monitoring, is generally based on modal analysis, for detection, localization, and quantification of changes in structure. Classical methods combine both variations in frequencies and mode shapes, which require accurate and spatially distributed measurements. In this study, the detection and localization of a local perturbation are assessed by analysis of frequency changes (in the fundamental mode and overtones) that are combined with a perturbation-based linear inverse method and a deconvolution process. This perturbation method is applied first to a bending beam with the change considered as a local perturbation of the Young's modulus, using a one-dimensional finite-element model for modal analysis. Localization is successful, even for extended and multiple changes. In a second step, the method is numerically tested under ambient-noise vibration from the beam support with local changes that are shifted step by step along the beam. The frequency values are revealed using the random decrement technique that is applied to the time-evolving vibrations recorded by one sensor at the free extremity of the beam. Finally, the inversion method is experimentally demonstrated at the laboratory scale with data recorded at the free end of a Plexiglas beam attached to a metallic support.

  19. Visual Localization across Seasons Using Sequence Matching Based on Multi-Feature Combination.

    Science.gov (United States)

    Qiao, Yongliang

    2017-10-25

    Visual localization is widely used in autonomous navigation system and Advanced Driver Assistance Systems (ADAS). However, visual-based localization in seasonal changing situations is one of the most challenging topics in computer vision and the intelligent vehicle community. The difficulty of this task is related to the strong appearance changes that occur in scenes due to weather or season changes. In this paper, a place recognition based visual localization method is proposed, which realizes the localization by identifying previously visited places using the sequence matching method. It operates by matching query image sequences to an image database acquired previously (video acquired during traveling period). In this method, in order to improve matching accuracy, multi-feature is constructed by combining a global GIST descriptor and local binary feature CSLBP (Center-symmetric local binary patterns) to represent image sequence. Then, similarity measurement according to Chi-square distance is used for effective sequences matching. For experimental evaluation, the relationship between image sequence length and sequences matching performance is studied. To show its effectiveness, the proposed method is tested and evaluated in four seasons outdoor environments. The results have shown improved precision-recall performance against the state-of-the-art SeqSLAM algorithm.

  20. Visual Localization across Seasons Using Sequence Matching Based on Multi-Feature Combination

    Directory of Open Access Journals (Sweden)

    Yongliang Qiao

    2017-10-01

    Full Text Available Visual localization is widely used in autonomous navigation system and Advanced Driver Assistance Systems (ADAS. However, visual-based localization in seasonal changing situations is one of the most challenging topics in computer vision and the intelligent vehicle community. The difficulty of this task is related to the strong appearance changes that occur in scenes due to weather or season changes. In this paper, a place recognition based visual localization method is proposed, which realizes the localization by identifying previously visited places using the sequence matching method. It operates by matching query image sequences to an image database acquired previously (video acquired during traveling period. In this method, in order to improve matching accuracy, multi-feature is constructed by combining a global GIST descriptor and local binary feature CSLBP (Center-symmetric local binary patterns to represent image sequence. Then, similarity measurement according to Chi-square distance is used for effective sequences matching. For experimental evaluation, the relationship between image sequence length and sequences matching performance is studied. To show its effectiveness, the proposed method is tested and evaluated in four seasons outdoor environments. The results have shown improved precision–recall performance against the state-of-the-art SeqSLAM algorithm.

  1. Small Imaging Depth LIDAR and DCNN-Based Localization for Automated Guided Vehicle.

    Science.gov (United States)

    Ito, Seigo; Hiratsuka, Shigeyoshi; Ohta, Mitsuhiko; Matsubara, Hiroyuki; Ogawa, Masaru

    2018-01-10

    We present our third prototype sensor and a localization method for Automated Guided Vehicles (AGVs), for which small imaging LIght Detection and Ranging (LIDAR) and fusion-based localization are fundamentally important. Our small imaging LIDAR, named the Single-Photon Avalanche Diode (SPAD) LIDAR, uses a time-of-flight method and SPAD arrays. A SPAD is a highly sensitive photodetector capable of detecting at the single-photon level, and the SPAD LIDAR has two SPAD arrays on the same chip for detection of laser light and environmental light. Therefore, the SPAD LIDAR simultaneously outputs range image data and monocular image data with the same coordinate system and does not require external calibration among outputs. As AGVs travel both indoors and outdoors with vibration, this calibration-less structure is particularly useful for AGV applications. We also introduce a fusion-based localization method, named SPAD DCNN, which uses the SPAD LIDAR and employs a Deep Convolutional Neural Network (DCNN). SPAD DCNN can fuse the outputs of the SPAD LIDAR: range image data, monocular image data and peak intensity image data. The SPAD DCNN has two outputs: the regression result of the position of the SPAD LIDAR and the classification result of the existence of a target to be approached. Our third prototype sensor and the localization method are evaluated in an indoor environment by assuming various AGV trajectories. The results show that the sensor and localization method improve the localization accuracy.

  2. Quantum-Secret-Sharing Scheme Based on Local Distinguishability of Orthogonal Seven-Qudit Entangled States

    Science.gov (United States)

    Liu, Cheng-Ji; Li, Zhi-Hui; Bai, Chen-Ming; Si, Meng-Meng

    2018-02-01

    The concept of judgment space was proposed by Wang et al. (Phys. Rev. A 95, 022320, 2017), which was used to study some important properties of quantum entangled states based on local distinguishability. In this study, we construct 15 kinds of seven-qudit quantum entangled states in the sense of permutation, calculate their judgment space and propose a distinguishability rule to make the judgment space more clearly. Based on this rule, we study the local distinguishability of the 15 kinds of seven-qudit quantum entangled states and then propose a ( k, n) threshold quantum secret sharing scheme. Finally, we analyze the security of the scheme.

  3. Model-based monitoring techniques for leakage localization in distribution water networks

    OpenAIRE

    Meseguer Amela, Jordi; Mirats Tur, Josep Maria; Cembrano Gennari, Gabriela; Puig Cayuela, Vicenç

    2015-01-01

    This is an open access article under the CC BY-NC-ND license This paper describes an integrated model-based monitoring framework for leakage localization in district-metered areas (DMA) of water distribution networks, which takes advantage of the availability of a hydraulic model of the network. The leakage localization methodology is based on the use of flow and pressure sensors at the DMA inlets and a limited number of pressure sensors deployed inside the DMA. The placement of these sens...

  4. Race and Survival Following Brachytherapy-Based Treatment for Men With Localized or Locally Advanced Adenocarcinoma of the Prostate

    International Nuclear Information System (INIS)

    Winkfield, Karen M.; Chen Minghui; Dosoretz, Daniel E.; Salenius, Sharon A.; Katin, Michael; Ross, Rudi; D’Amico, Anthony V.

    2011-01-01

    Purpose: We investigated whether race was associated with risk of death following brachytherapy-based treatment for localized prostate cancer, adjusting for age, cardiovascular comorbidity, treatment, and established prostate cancer prognostic factors. Methods: The study cohort was composed of 5,360 men with clinical stage T1-3N0M0 prostate cancer who underwent brachytherapy-based treatment at 20 centers within the 21st Century Oncology consortium. Cox regression multivariable analysis was used to evaluate the risk of death in African-American and Hispanic men compared to that in Caucasian men, adjusting for age, pretreatment prostate-specific antigen (PSA) level, Gleason score, clinical T stage, year and type of treatment, median income, and cardiovascular comorbidities. Results: After a median follow-up of 3 years, there were 673 deaths. African-American and Hispanic races were significantly associated with an increased risk of all-cause mortality (ACM) (adjusted hazard ratio, 1.77 and 1.79; 95% confidence intervals, 1.3–2.5 and 1.2–2.7; p < 0.001 and p = 0.005, respectively). Other factors significantly associated with an increased risk of death included age (p < 0.001), Gleason score of 8 to 10 (p = 0.04), year of brachytherapy (p < 0.001), and history of myocardial infarction treated with stent or coronary artery bypass graft (p < 0.001). Conclusions: After adjustment for prostate cancer prognostic factors, age, income level, and revascularized cardiovascular comorbidities, African-American and Hispanic races were associated with higher ACM in men with prostate cancer. Additional causative factors need to be identified.

  5. A nanobody-based toolset to investigate the role of protein localization and dispersal in Drosophila.

    Science.gov (United States)

    Harmansa, Stefan; Alborelli, Ilaria; Bieli, Dimitri; Caussinus, Emmanuel; Affolter, Markus

    2017-04-11

    The role of protein localization along the apical-basal axis of polarized cells is difficult to investigate in vivo, partially due to lack of suitable tools. Here, we present the GrabFP system, a collection of four nanobody-based GFP-traps that localize to defined positions along the apical-basal axis. We show that the localization preference of the GrabFP traps can impose a novel localization on GFP-tagged target proteins and results in their controlled mislocalization. These new tools were used to mislocalize transmembrane and cytoplasmic GFP fusion proteins in the Drosophila wing disc epithelium and to investigate the effect of protein mislocalization. Furthermore, we used the GrabFP system as a tool to study the extracellular dispersal of the Decapentaplegic (Dpp) protein and show that the Dpp gradient forming in the lateral plane of the Drosophila wing disc epithelium is essential for patterning of the wing imaginal disc.

  6. A fingerprint classification algorithm based on combination of local and global information

    Science.gov (United States)

    Liu, Chongjin; Fu, Xiang; Bian, Junjie; Feng, Jufu

    2011-12-01

    Fingerprint recognition is one of the most important technologies in biometric identification and has been wildly applied in commercial and forensic areas. Fingerprint classification, as the fundamental procedure in fingerprint recognition, can sharply decrease the quantity for fingerprint matching and improve the efficiency of fingerprint recognition. Most fingerprint classification algorithms are based on the number and position of singular points. Because the singular points detecting method only considers the local information commonly, the classification algorithms are sensitive to noise. In this paper, we propose a novel fingerprint classification algorithm combining the local and global information of fingerprint. Firstly we use local information to detect singular points and measure their quality considering orientation structure and image texture in adjacent areas. Furthermore the global orientation model is adopted to measure the reliability of singular points group. Finally the local quality and global reliability is weighted to classify fingerprint. Experiments demonstrate the accuracy and effectivity of our algorithm especially for the poor quality fingerprint images.

  7. Exploring the effect of diffuse reflection on indoor localization systems based on RSSI-VLC.

    Science.gov (United States)

    Mohammed, Nazmi A; Elkarim, Mohammed Abd

    2015-08-10

    This work explores and evaluates the effect of diffuse light reflection on the accuracy of indoor localization systems based on visible light communication (VLC) in a high reflectivity environment using a received signal strength indication (RSSI) technique. The effect of the essential receiver (Rx) and transmitter (Tx) parameters on the localization error with different transmitted LED power and wall reflectivity factors is investigated at the worst Rx coordinates for a directed/overall link. Since this work assumes harsh operating conditions (i.e., a multipath model, high reflectivity surfaces, worst Rx position), an error of ≥ 1.46 m is found. To achieve a localization error in the range of 30 cm under these conditions with moderate LED power (i.e., P = 0.45 W), low reflectivity walls (i.e., ρ = 0.1) should be used, which would enable a localization error of approximately 7 mm at the room's center.

  8. Acoustic Source Localization via Subspace Based Method Using Small Aperture MEMS Arrays

    Directory of Open Access Journals (Sweden)

    Xin Zhang

    2014-01-01

    Full Text Available Small aperture microphone arrays provide many advantages for portable devices and hearing aid equipment. In this paper, a subspace based localization method is proposed for acoustic source using small aperture arrays. The effects of array aperture on localization are analyzed by using array response (array manifold. Besides array aperture, the frequency of acoustic source and the variance of signal power are simulated to demonstrate how to optimize localization performance, which is carried out by introducing frequency error with the proposed method. The proposed method for 5 mm array aperture is validated by simulations and experiments with MEMS microphone arrays. Different types of acoustic sources can be localized with the highest precision of 6 degrees even in the presence of wind noise and other noises. Furthermore, the proposed method reduces the computational complexity compared with other methods.

  9. Vision based persistent localization of a humanoid robot for locomotion tasks

    Directory of Open Access Journals (Sweden)

    Martínez Pablo A.

    2016-09-01

    Full Text Available Typical monocular localization schemes involve a search for matches between reprojected 3D world points and 2D image features in order to estimate the absolute scale transformation between the camera and the world. Successfully calculating such transformation implies the existence of a good number of 3D points uniformly distributed as reprojected pixels around the image plane. This paper presents a method to control the march of a humanoid robot towards directions that are favorable for visual based localization. To this end, orthogonal diagonalization is performed on the covariance matrices of both sets of 3D world points and their 2D image reprojections. Experiments with the NAO humanoid platform show that our method provides persistence of localization, as the robot tends to walk towards directions that are desirable for successful localization. Additional tests demonstrate how the proposed approach can be incorporated into a control scheme that considers reaching a target position.

  10. 34 CFR 222.40 - How does a local educational agency select a local contribution rate based on generally...

    Science.gov (United States)

    2010-07-01

    ..., DEPARTMENT OF EDUCATION IMPACT AID PROGRAMS Payments for Federally Connected Children Under Section 8003(b..., size, location, or a combination of these factors, (that is, in the case of the significantly impacted... 34 Education 1 2010-07-01 2010-07-01 false How does a local educational agency select a local...

  11. Proposal of a Holistic Model to Support Local-Level Evidence-Based Practice

    Directory of Open Access Journals (Sweden)

    Said Shahtahmasebi

    2010-01-01

    Full Text Available In response to a central drive for evidence-based practice, there have been many research support schemes, setups, and other practices concentrating on facilitating access to external research, such as the Centre for Evidence Based Healthcare Aotearoa, the Cochrane Collaboration, and the York Centre for Reviews and Dissemination. Very little attention has been paid to supporting internal research in terms of local evidence and internal research capabilities. The whole evidence-based practice movement has alienated internal decision makers and, thus, very little progress has been made in the context of evidence informing local policy formation. Health and social policies are made centrally based on dubious claims and often evidence is sought after implementation. For example, on record, most health care practitioners appear to agree with the causal link between depression and mental illness (sometimes qualified with other social factors with suicide; off the record, even some psychiatrists doubt that such a link is applicable to the population as a whole. Therefore, be it through misplaced loyalty or a lack of support for internal researchers/decision makers, local evidence informing local decision making may have been ignored in favour of external evidence. In this paper, we present a practical holistic model to support local evidence-based decision making. This approach is more relevant in light of a new approach to primary health care of “local knowledge” complementing external evidence. One possible outcome would be to network with other regional programmes around the world to share information and identify “best” practices, such as the “Stop Youth Suicide Campaign”(www.stopyouthsuicide.com.

  12. An Empirical Study of the Transmission Power Setting for Bluetooth-Based Indoor Localization Mechanisms.

    Science.gov (United States)

    Castillo-Cara, Manuel; Lovón-Melgarejo, Jesús; Bravo-Rocca, Gusseppe; Orozco-Barbosa, Luis; García-Varea, Ismael

    2017-06-07

    Nowadays, there is a great interest in developing accurate wireless indoor localization mechanisms enabling the implementation of many consumer-oriented services. Among the many proposals, wireless indoor localization mechanisms based on the Received Signal Strength Indication (RSSI) are being widely explored. Most studies have focused on the evaluation of the capabilities of different mobile device brands and wireless network technologies. Furthermore, different parameters and algorithms have been proposed as a means of improving the accuracy of wireless-based localization mechanisms. In this paper, we focus on the tuning of the RSSI fingerprint to be used in the implementation of a Bluetooth Low Energy 4.0 (BLE4.0) Bluetooth localization mechanism. Following a holistic approach, we start by assessing the capabilities of two Bluetooth sensor/receiver devices. We then evaluate the relevance of the RSSI fingerprint reported by each BLE4.0 beacon operating at various transmission power levels using feature selection techniques. Based on our findings, we use two classification algorithms in order to improve the setting of the transmission power levels of each of the BLE4.0 beacons. Our main findings show that our proposal can greatly improve the localization accuracy by setting a custom transmission power level for each BLE4.0 beacon.

  13. Color Texture Image Retrieval Based on Local Extrema Features and Riemannian Distance

    Directory of Open Access Journals (Sweden)

    Minh-Tan Pham

    2017-10-01

    Full Text Available A novel efficient method for content-based image retrieval (CBIR is developed in this paper using both texture and color features. Our motivation is to represent and characterize an input image by a set of local descriptors extracted from characteristic points (i.e., keypoints within the image. Then, dissimilarity measure between images is calculated based on the geometric distance between the topological feature spaces (i.e., manifolds formed by the sets of local descriptors generated from each image of the database. In this work, we propose to extract and use the local extrema pixels as our feature points. Then, the so-called local extrema-based descriptor (LED is generated for each keypoint by integrating all color, spatial as well as gradient information captured by its nearest local extrema. Hence, each image is encoded by an LED feature point cloud and Riemannian distances between these point clouds enable us to tackle CBIR. Experiments performed on several color texture databases including Vistex, STex, color Brodazt, USPtex and Outex TC-00013 using the proposed approach provide very efficient and competitive results compared to the state-of-the-art methods.

  14. The Integrated Model of Sustainability Perspective in Spermatophyta Learning Based on Local Wisdom

    Science.gov (United States)

    Hartadiyati, E.; Rizqiyah, K.; Wiyanto; Rusilowati, A.; Prasetia, A. P. B.

    2017-09-01

    In present condition, culture is diminished, the change of social order toward the generation that has no policy and pro-sustainability; As well as the advancement of science and technology are often treated unwisely so as to excite local wisdom. It is therefore necessary to explore intra-curricular local wisdom in schools. This study aims to produce an integration model of sustainability perspectives based on local wisdom on spermatophyta material that is feasible and effective. This research uses define, design and develop stages to an integration model of sustainability perspectives based on local wisdom on spermatophyta material. The resulting product is an integration model of socio-cultural, economic and environmental sustainability perspective and formulated with preventive, preserve and build action on spermatophyta material consisting of identification and classification, metagenesis and the role of spermatophyta for human life. The integration model of sustainability perspective in learning spermatophyta based on local wisdom is considered proven to be effective in raising sustainability’s awareness of high school students.

  15. An Empirical Study of the Transmission Power Setting for Bluetooth-Based Indoor Localization Mechanisms

    Directory of Open Access Journals (Sweden)

    Manuel Castillo-Cara

    2017-06-01

    Full Text Available Nowadays, there is a great interest in developing accurate wireless indoor localization mechanisms enabling the implementation of many consumer-oriented services. Among the many proposals, wireless indoor localization mechanisms based on the Received Signal Strength Indication (RSSI are being widely explored. Most studies have focused on the evaluation of the capabilities of different mobile device brands and wireless network technologies. Furthermore, different parameters and algorithms have been proposed as a means of improving the accuracy of wireless-based localization mechanisms. In this paper, we focus on the tuning of the RSSI fingerprint to be used in the implementation of a Bluetooth Low Energy 4.0 (BLE4.0 Bluetooth localization mechanism. Following a holistic approach, we start by assessing the capabilities of two Bluetooth sensor/receiver devices. We then evaluate the relevance of the RSSI fingerprint reported by each BLE4.0 beacon operating at various transmission power levels using feature selection techniques. Based on our findings, we use two classification algorithms in order to improve the setting of the transmission power levels of each of the BLE4.0 beacons. Our main findings show that our proposal can greatly improve the localization accuracy by setting a custom transmission power level for each BLE4.0 beacon.

  16. Trust Index Based Fault Tolerant Multiple Event Localization Algorithm for WSNs

    Science.gov (United States)

    Xu, Xianghua; Gao, Xueyong; Wan, Jian; Xiong, Naixue

    2011-01-01

    This paper investigates the use of wireless sensor networks for multiple event source localization using binary information from the sensor nodes. The events could continually emit signals whose strength is attenuated inversely proportional to the distance from the source. In this context, faults occur due to various reasons and are manifested when a node reports a wrong decision. In order to reduce the impact of node faults on the accuracy of multiple event localization, we introduce a trust index model to evaluate the fidelity of information which the nodes report and use in the event detection process, and propose the Trust Index based Subtract on Negative Add on Positive (TISNAP) localization algorithm, which reduces the impact of faulty nodes on the event localization by decreasing their trust index, to improve the accuracy of event localization and performance of fault tolerance for multiple event source localization. The algorithm includes three phases: first, the sink identifies the cluster nodes to determine the number of events occurred in the entire region by analyzing the binary data reported by all nodes; then, it constructs the likelihood matrix related to the cluster nodes and estimates the location of all events according to the alarmed status and trust index of the nodes around the cluster nodes. Finally, the sink updates the trust index of all nodes according to the fidelity of their information in the previous reporting cycle. The algorithm improves the accuracy of localization and performance of fault tolerance in multiple event source localization. The experiment results show that when the probability of node fault is close to 50%, the algorithm can still accurately determine the number of the events and have better accuracy of localization compared with other algorithms. PMID:22163972

  17. Trust Index Based Fault Tolerant Multiple Event Localization Algorithm for WSNs

    Directory of Open Access Journals (Sweden)

    Jian Wan

    2011-06-01

    Full Text Available This paper investigates the use of wireless sensor networks for multiple event source localization using binary information from the sensor nodes. The events could continually emit signals whose strength is attenuated inversely proportional to the distance from the source. In this context, faults occur due to various reasons and are manifested when a node reports a wrong decision. In order to reduce the impact of node faults on the accuracy of multiple event localization, we introduce a trust index model to evaluate the fidelity of information which the nodes report and use in the event detection process, and propose the Trust Index based Subtract on Negative Add on Positive (TISNAP localization algorithm, which reduces the impact of faulty nodes on the event localization by decreasing their trust index, to improve the accuracy of event localization and performance of fault tolerance for multiple event source localization. The algorithm includes three phases: first, the sink identifies the cluster nodes to determine the number of events occurred in the entire region by analyzing the binary data reported by all nodes; then, it constructs the likelihood matrix related to the cluster nodes and estimates the location of all events according to the alarmed status and trust index of the nodes around the cluster nodes. Finally, the sink updates the trust index of all nodes according to the fidelity of their information in the previous reporting cycle. The algorithm improves the accuracy of localization and performance of fault tolerance in multiple event source localization. The experiment results show that when the probability of node fault is close to 50%, the algorithm can still accurately determine the number of the events and have better accuracy of localization compared with other algorithms.

  18. Uniform competency-based local feature extraction for remote sensing images

    Science.gov (United States)

    Sedaghat, Amin; Mohammadi, Nazila

    2018-01-01

    Local feature detectors are widely used in many photogrammetry and remote sensing applications. The quantity and distribution of the local features play a critical role in the quality of the image matching process, particularly for multi-sensor high resolution remote sensing image registration. However, conventional local feature detectors cannot extract desirable matched features either in terms of the number of correct matches or the spatial and scale distribution in multi-sensor remote sensing images. To address this problem, this paper proposes a novel method for uniform and robust local feature extraction for remote sensing images, which is based on a novel competency criterion and scale and location distribution constraints. The proposed method, called uniform competency (UC) local feature extraction, can be easily applied to any local feature detector for various kinds of applications. The proposed competency criterion is based on a weighted ranking process using three quality measures, including robustness, spatial saliency and scale parameters, which is performed in a multi-layer gridding schema. For evaluation, five state-of-the-art local feature detector approaches, namely, scale-invariant feature transform (SIFT), speeded up robust features (SURF), scale-invariant feature operator (SFOP), maximally stable extremal region (MSER) and hessian-affine, are used. The proposed UC-based feature extraction algorithms were successfully applied to match various synthetic and real satellite image pairs, and the results demonstrate its capability to increase matching performance and to improve the spatial distribution. The code to carry out the UC feature extraction is available from href="https://www.researchgate.net/publication/317956777_UC-Feature_Extraction.

  19. Local resource based approach to maintaining and preserving rural local access roads assets: Siyatentela institutional framework and governance case study discourses

    CSIR Research Space (South Africa)

    Chakwizira, J

    2010-10-01

    Full Text Available and other development agencies focusing on the use of appropriate technologies for civil construction be it in the road, transport, water, agriculture or environmental sectors (World Bank 2001; ILO, 2002; Clegg, 2003). The seminal study conducted... and contribution of local resource based approach to rural and community access roads requires a review of the labour based initiatives in the road, transport and infrastructure sub-sector. An apt statement that captures the essence of building local community...

  20. Hybrid Indoor-Based WLAN-WSN Localization Scheme for Improving Accuracy Based on Artificial Neural Network

    Directory of Open Access Journals (Sweden)

    Zahid Farid

    2016-01-01

    Full Text Available In indoor environments, WiFi (RSS based localization is sensitive to various indoor fading effects and noise during transmission, which are the main causes of localization errors that affect its accuracy. Keeping in view those fading effects, positioning systems based on a single technology are ineffective in performing accurate localization. For this reason, the trend is toward the use of hybrid positioning systems (combination of two or more wireless technologies in indoor/outdoor localization scenarios for getting better position accuracy. This paper presents a hybrid technique to implement indoor localization that adopts fingerprinting approaches in both WiFi and Wireless Sensor Networks (WSNs. This model exploits machine learning, in particular Artificial Natural Network (ANN techniques, for position calculation. The experimental results show that the proposed hybrid system improved the accuracy, reducing the average distance error to 1.05 m by using ANN. Applying Genetic Algorithm (GA based optimization technique did not incur any further improvement to the accuracy. Compared to the performance of GA optimization, the nonoptimized ANN performed better in terms of accuracy, precision, stability, and computational time. The above results show that the proposed hybrid technique is promising for achieving better accuracy in real-world positioning applications.

  1. Towards a more balanced view of the potentials of locally-based monitoring

    DEFF Research Database (Denmark)

    Lund, Jens Friis

    2014-01-01

    The literature on locally-based monitoring in the context of conservation of ecosystems and natural resources in developing countries displays a great deal of optimism about its prospects as a low-cost approach to gather information about conservation outcomes. Yet, this optimism stands in stark...... the information can be perceived by those who monitor to be linked to claims over resource rights and associated benefits. In such situations, trust in locally-based monitoring should be tempered by scepticism and systems of checks and balances....... contrast to studies on co-management between States and local communities showing that such processes—in which communities and the State ostensibly work hand in hand on the monitoring and management of natural resources—are fraught with power struggles within communities as well as between communities...

  2. Power law-based local search in spider monkey optimisation for lower order system modelling

    Science.gov (United States)

    Sharma, Ajay; Sharma, Harish; Bhargava, Annapurna; Sharma, Nirmala

    2017-01-01

    The nature-inspired algorithms (NIAs) have shown efficiency to solve many complex real-world optimisation problems. The efficiency of NIAs is measured by their ability to find adequate results within a reasonable amount of time, rather than an ability to guarantee the optimal solution. This paper presents a solution for lower order system modelling using spider monkey optimisation (SMO) algorithm to obtain a better approximation for lower order systems and reflects almost original higher order system's characteristics. Further, a local search strategy, namely, power law-based local search is incorporated with SMO. The proposed strategy is named as power law-based local search in SMO (PLSMO). The efficiency, accuracy and reliability of the proposed algorithm is tested over 20 well-known benchmark functions. Then, the PLSMO algorithm is applied to solve the lower order system modelling problem.

  3. Organizational culture shapes the adoption and incorporation of simulation into nursing curricula: a grounded theory study.

    Science.gov (United States)

    Taplay, Karyn; Jack, Susan M; Baxter, Pamela; Eva, Kevin; Martin, Lynn

    2014-01-01

    Purpose. To create a substantive mid-range theory explaining how the organizational cultures of undergraduate nursing programs shape the adoption and incorporation of mid-to high-level technical fidelity simulators as a teaching strategy within curricula. Method. A constructivist grounded theory was used to guide this study which was conducted in Ontario, Canada, during 2011-12. Semistructured interviews (n = 43) with participants that included nursing administrators, nursing faculty, and simulation leaders across multiple programs (n = 13) informed this study. Additionally, key documents (n = 67) were reviewed. Purposeful and theoretical sampling was used and data were collected and analyzed simultaneously. Data were compared among and between sites. Findings. The organizational elements that shape simulation in nursing (OESSN) model depicts five key organizational factors at the nursing program level that shaped the adoption and incorporation of simulation: (1) leaders working in tandem, (2) information exchange, (3) physical locale, (4) shared motivators, and (5) scaffolding to manage change. Conclusions. The OESSN model provides an explanation of the organizational factors that contributed to the adoption and incorporation of simulation into nursing curricula. Nursing programs that use the OESSN model may experience a more rapid or broad uptake of simulation when organizational factors that impact adoption and incorporation are considered and planned for.

  4. Simulation-Based Approach for Studying the Balancing of Local Smart Grids with Electric Vehicle Batteries

    Directory of Open Access Journals (Sweden)

    Juhani Latvakoski

    2015-07-01

    Full Text Available Modern society is facing great challenges due to pollution and increased carbon dioxide (CO2 emissions. As part of solving these challenges, the use of renewable energy sources and electric vehicles (EVs is rapidly increasing. However, increased dynamics have triggered problems in balancing energy supply and consumption demand in the power systems. The resulting uncertainty and unpredictability of energy production, consumption, and management of peak loads has caused an increase in costs for energy market actors. Therefore, the means for studying the balancing of local smart grids with EVs is a starting point for this paper. The main contribution is a simulation-based approach which was developed to enable the study of the balancing of local distribution grids with EV batteries in a cost-efficient manner. The simulation-based approach is applied to enable the execution of a distributed system with the simulation of a local distribution grid, including a number of charging stations and EVs. A simulation system has been constructed to support the simulation-based approach. The evaluation has been carried out by executing the scenario related to balancing local distribution grids with EV batteries in a step-by-step manner. The evaluation results indicate that the simulation-based approach is able to facilitate the evaluation of smart grid– and EV-related communication protocols, control algorithms for charging, and functionalities of local distribution grids as part of a complex, critical cyber-physical system. In addition, the simulation system is able to incorporate advanced methods for monitoring, controlling, tracking, and modeling behavior. The simulation model of the local distribution grid can be executed with the smart control of charging and discharging powers of the EVs according to the load situation in the local distribution grid. The resulting simulation system can be applied to the study of balancing local smart grids with EV

  5. A Tale of Two Curricula: The performance of two thousand students in introductory electromagnetism

    Science.gov (United States)

    Schatz, Michael; Kohlmyer, Matthew; Caballero, Marcos; Chabay, Ruth; Sherwood, Bruce; Catrambone, Richard; Marr, Marcus; Haugen, Mark; Ding, Lin

    2009-03-01

    Student performance in introductory calculus-based electromagnetism (E&M) courses at four large research universities was measured using the Brief Electricity and Magnetism Assessment (BEMA). Two different curricula were used at these universities: a traditional E&M curriculum and the Matter & Interactions (M&I) curriculum. At each university, post-instruction BEMA test averages were significantly higher for the M&I curriculum than for the traditional curriculum. The differences in post-test averages cannot be explained by differences in variables such as pre-instruction BEMA scores, grade point average, or SAT scores.

  6. Developing Learning Model Based on Local Culture and Instrument for Mathematical Higher Order Thinking Ability

    Science.gov (United States)

    Saragih, Sahat; Napitupulu, E. Elvis; Fauzi, Amin

    2017-01-01

    This research aims to develop a student-centered learning model based on local culture and instrument of mathematical higher order thinking of junior high school students in the frame of the 2013-Curriculum in North Sumatra, Indonesia. The subjects of the research are seventh graders which are taken proportionally random consisted of three public…

  7. Event-based computer simulation model of aspect-type experiments strictly satisfying Einstein's locality conditions

    NARCIS (Netherlands)

    De Raedt, Hans; De Raedt, Koen; Michielsen, Kristel; Keimpema, Koenraad; Miyashita, Seiji

    2007-01-01

    Inspired by Einstein-Podolsky-Rosen-Bohtn experiments with photons, we construct an event-based simulation model in which every essential element in the ideal experiment has a counterpart. The model satisfies Einstein's criterion of local causality and does not rely on concepts of quantum and

  8. Radiotherapy of tonsillar and base of the tongue carcinoma. Prediction of local control

    NARCIS (Netherlands)

    Mak-Kregar, S.; Baris, G.; Lebesque, J. V.; Balm, A. J.; Hart, A. A.; Hilgers, F. J.

    1993-01-01

    119 patients with squamous cell carcinoma of the tonsillar region (68) and the base of the tongue (51), who received external radiotherapy with curative intent between 1966 and 1984, are analysed with respect to overall treatment results, local tumour control and prognostic factors. Radiation doses

  9. Block-Based Gradient Descent for Local Backlight Dimming and Flicker Reduction

    DEFF Research Database (Denmark)

    Burini, Nino; Mantel, Claire; Nadernejad, Ehsan

    2014-01-01

    Local backlight dimming technology is a two-fold improvement for LED backlit LCD screens that allows to reduce power consumption and increase visual quality. This paper presents a fast version of an iterative backlight dimming algorithm based on gradient descent search. The speed is increased...

  10. Optimizing EFL Learners' Sensitizing Reading Skill: Development of Local Content-Based Textbook

    Science.gov (United States)

    Arifani, Yudhi

    2016-01-01

    The development of local wisdom based sensitizing reading material is aimed at penetrating one of the imperishable gaps between authentic and non-authentic reading materials dispute in an EFL teaching context. Promoting EFL learners' needs for the first semester students of English department at university level, who rarely or even never have a…

  11. Localized probability of improvement for kriging based multi-objective optimization

    Science.gov (United States)

    Li, Yinjiang; Xiao, Song; Barba, Paolo Di; Rotaru, Mihai; Sykulski, Jan K.

    2017-12-01

    The paper introduces a new approach to kriging based multi-objective optimization by utilizing a local probability of improvement as the infill sampling criterion and the nearest neighbor check to ensure diversification and uniform distribution of Pareto fronts. The proposed method is computationally fast and linearly scalable to higher dimensions.

  12. Sample size determination algorithm for fingerprint-based indoor localization systems

    NARCIS (Netherlands)

    Kanaris, L.; Kokkinis, A.; Fortino, G.; Liotta, A.; Stavrou, S.

    2016-01-01

    Provision of accurate location information is an important task in the Internet of Things (IoT) applications and scenarios. This need has boosted the research and development of fingerprint based, indoor localization systems, since GPS information is not available in indoor environments. Performance

  13. Small and Home-Based Businesses: Measures of Success and the Contribution of Local Development Services

    Science.gov (United States)

    Brooks, Lara; Whitacre, Brian; Shideler, Dave; Muske, Glenn; Woods, Mike

    2012-01-01

    Small and home-based businesses have long been identified by Extension educators as an important component of economic development, particularly in rural areas. The services available to these businesses can take many forms, including management training, accessibility of local funding, providing incubation facilities, or setting up mentoring…

  14. RSS-based localization of isotropically decaying source with unknown power and pathloss factor

    International Nuclear Information System (INIS)

    Sun, Shunyuan; Sun, Li; Ding, Zhiguo

    2016-01-01

    This paper addresses the localization of an isotropically decaying source based on the received signal strength (RSS) measurements that are collected from nearby active sensors that are position-known and wirelessly connected, and it propose a novel iterative algorithm for RSS-based source localization in order to improve the location accuracy and realize real-time location and automatic monitoring for hospital patients and medical equipment in the smart hospital. In particular, we consider the general case where the source power and pathloss factor are both unknown. For such a source localization problem, we propose an iterative algorithm, in which the unknown source position and two other unknown parameters (i.e. the source power and pathloss factor) are estimated in an alternating way based on each other, with our proposed sub-optimum initial estimate on source position obtained based on the RSS measurements that are collected from a few (closest) active sensors with largest RSS values. Analysis and simulation study show that our proposed iterative algorithm guarantees globally convergence to the least-squares (LS) solution, where for our suitably assumed independent and identically distributed (i.i.d.) zero-mean Gaussian RSS measurement errors the converged localization performance achieves the optimum that corresponds to the Cramer–Rao lower bound (CRLB).

  15. Acid-base indicator properties of dyes from local plants I: Dyes from ...

    African Journals Online (AJOL)

    DR. MIKE HORSFALL

    Acid-base indicator properties of dyes from local plants I: Dyes from Basella alba. (Indian spinach) and ... solution, which change colour immediately after the equivalence point has .... The pH ranges over which the dyes change colour were ...

  16. Analysis of filtration properties of locally sourced base oil for the ...

    African Journals Online (AJOL)

    This study examines the use of locally sourced oil like, groundnut oil, melon oil, vegetable oil, soya oil and palm oil as substitute for diesel oil in formulating oil base drilling fluids relative to filtration properties. The filtrate volumes of each of the oils were obtained for filtration control analysis. With increasing potash and ...

  17. A content-based digital image watermarking scheme resistant to local geometric distortions

    International Nuclear Information System (INIS)

    Yang, Hong-ying; Chen, Li-li; Wang, Xiang-yang

    2011-01-01

    Geometric distortion is known as one of the most difficult attacks to resist, as it can desynchronize the location of the watermark and hence cause incorrect watermark detection. Geometric distortion can be decomposed into two classes: global affine transforms and local geometric distortions. Most countermeasures proposed in the literature only address the problem of global affine transforms. It is a challenging problem to design a robust image watermarking scheme against local geometric distortions. In this paper, we propose a new content-based digital image watermarking scheme with good visual quality and reasonable resistance against local geometric distortions. Firstly, the robust feature points, which can survive various common image processing and global affine transforms, are extracted by using a multi-scale SIFT (scale invariant feature transform) detector. Then, the affine covariant local feature regions (LFRs) are constructed adaptively according to the feature scale and local invariant centroid. Finally, the digital watermark is embedded into the affine covariant LFRs by modulating the magnitudes of discrete Fourier transform (DFT) coefficients. By binding the watermark with the affine covariant LFRs, the watermark detection can be done without synchronization error. Experimental results show that the proposed image watermarking is not only invisible and robust against common image processing operations such as sharpening, noise addition, and JPEG compression, etc, but also robust against global affine transforms and local geometric distortions

  18. Sparse Localization with a Mobile Beacon Based on LU Decomposition in Wireless Sensor Networks

    Directory of Open Access Journals (Sweden)

    Chunhui Zhao

    2015-09-01

    Full Text Available Node localization is the core in wireless sensor network. It can be solved by powerful beacons, which are equipped with global positioning system devices to know their location information. In this article, we present a novel sparse localization approach with a mobile beacon based on LU decomposition. Our scheme firstly translates node localization problem into a 1-sparse vector recovery problem by establishing sparse localization model. Then, LU decomposition pre-processing is adopted to solve the problem that measurement matrix does not meet the re¬stricted isometry property. Later, the 1-sparse vector can be exactly recovered by compressive sensing. Finally, as the 1-sparse vector is approximate sparse, weighted Cen¬troid scheme is introduced to accurately locate the node. Simulation and analysis show that our scheme has better localization performance and lower requirement for the mobile beacon than MAP+GC, MAP-M, and MAP-MN schemes. In addition, the obstacles and DOI have little effect on the novel scheme, and it has great localization performance under low SNR, thus, the scheme proposed is robust.

  19. Visual Localization by Place Recognition Based on Multifeature (D-λLBP++HOG

    Directory of Open Access Journals (Sweden)

    Yongliang Qiao

    2017-01-01

    Full Text Available Visual localization is widely used in the autonomous navigation system and Advanced Driver Assistance Systems (ADAS. This paper presents a visual localization method based on multifeature fusion and disparity information using stereo images. We integrate disparity information into complete center-symmetric local binary patterns (CSLBP to obtain a robust global image description (D-CSLBP. In order to represent the scene in depth, multifeature fusion of D-CSLBP and HOG features provides valuable information and permits decreasing the effect of some typical problems in place recognition such as perceptual aliasing. It improves visual recognition performance by taking advantage of depth, texture, and shape information. In addition, for real-time visual localization, local sensitive hashing method (LSH was used to compress the high-dimensional multifeature into binary vectors. It can thus speed up the process of image matching. To show its effectiveness, the proposed method is tested and evaluated using real datasets acquired in outdoor environments. Given the obtained results, our approach allows more effective visual localization compared with the state-of-the-art method FAB-MAP.

  20. Comprehensive Musicianship and Undergraduate Music Curricula.

    Science.gov (United States)

    Willoughby, David

    Comprehensive musicianship is a concept about teaching and learning music. It is an approach that suggests that the source of all musical study is the "literature" of music, and promotes the integration of all aspects of music study. This volume presents a synthesis of the philosophy and practice of 32 experimental programs based on the concept of…

  1. Exact density functional and wave function embedding schemes based on orbital localization

    International Nuclear Information System (INIS)

    Hégely, Bence; Nagy, Péter R.; Kállay, Mihály; Ferenczy, György G.

    2016-01-01

    Exact schemes for the embedding of density functional theory (DFT) and wave function theory (WFT) methods into lower-level DFT or WFT approaches are introduced utilizing orbital localization. First, a simple modification of the projector-based embedding scheme of Manby and co-workers [J. Chem. Phys. 140, 18A507 (2014)] is proposed. We also use localized orbitals to partition the system, but instead of augmenting the Fock operator with a somewhat arbitrary level-shift projector we solve the Huzinaga-equation, which strictly enforces the Pauli exclusion principle. Second, the embedding of WFT methods in local correlation approaches is studied. Since the latter methods split up the system into local domains, very simple embedding theories can be defined if the domains of the active subsystem and the environment are treated at a different level. The considered embedding schemes are benchmarked for reaction energies and compared to quantum mechanics (QM)/molecular mechanics (MM) and vacuum embedding. We conclude that for DFT-in-DFT embedding, the Huzinaga-equation-based scheme is more efficient than the other approaches, but QM/MM or even simple vacuum embedding is still competitive in particular cases. Concerning the embedding of wave function methods, the clear winner is the embedding of WFT into low-level local correlation approaches, and WFT-in-DFT embedding can only be more advantageous if a non-hybrid density functional is employed.

  2. Multicrack Localization in Rotors Based on Proper Orthogonal Decomposition Using Fractal Dimension and Gapped Smoothing Method

    Directory of Open Access Journals (Sweden)

    Zhiwen Lu

    2016-01-01

    Full Text Available Multicrack localization in operating rotor systems is still a challenge today. Focusing on this challenge, a new approach based on proper orthogonal decomposition (POD is proposed for multicrack localization in rotors. A two-disc rotor-bearing system with breathing cracks is established by the finite element method and simulated sensors are distributed along the rotor to obtain the steady-state transverse responses required by POD. Based on the discontinuities introduced in the proper orthogonal modes (POMs at the locations of cracks, the characteristic POM (CPOM, which is sensitive to crack locations and robust to noise, is selected for cracks localization. Instead of using the CPOM directly, due to its difficulty to localize incipient cracks, damage indexes using fractal dimension (FD and gapped smoothing method (GSM are adopted, in order to extract the locations more efficiently. The method proposed in this work is validated to be effective for multicrack localization in rotors by numerical experiments on rotors in different crack configuration cases considering the effects of noise. In addition, the feasibility of using fewer sensors is also investigated.

  3. Integrating scientific and local knowledge to inform risk-based management approaches for climate adaptation

    Directory of Open Access Journals (Sweden)

    Nathan P. Kettle

    2014-01-01

    Full Text Available Risk-based management approaches to climate adaptation depend on the assessment of potential threats, and their causes, vulnerabilities, and impacts. The refinement of these approaches relies heavily on detailed local knowledge of places and priorities, such as infrastructure, governance structures, and socio-economic conditions, as well as scientific understanding of climate projections and trends. Developing processes that integrate local and scientific knowledge will enhance the value of risk-based management approaches, facilitate group learning and planning processes, and support the capacity of communities to prepare for change. This study uses the Vulnerability, Consequences, and Adaptation Planning Scenarios (VCAPS process, a form of analytic-deliberative dialogue, and the conceptual frameworks of hazard management and climate vulnerability, to integrate scientific and local knowledge. We worked with local government staff in an urbanized barrier island community (Sullivan’s Island, South Carolina to consider climate risks, impacts, and adaptation challenges associated with sea level rise and wastewater and stormwater management. The findings discuss how the process increases understanding of town officials’ views of risks and climate change impacts to barrier islands, the management actions being considered to address of the multiple impacts of concern, and the local tradeoffs and challenges in adaptation planning. We also comment on group learning and specific adaptation tasks, strategies, and needs identified.

  4. Exact density functional and wave function embedding schemes based on orbital localization

    Science.gov (United States)

    Hégely, Bence; Nagy, Péter R.; Ferenczy, György G.; Kállay, Mihály

    2016-08-01

    Exact schemes for the embedding of density functional theory (DFT) and wave function theory (WFT) methods into lower-level DFT or WFT approaches are introduced utilizing orbital localization. First, a simple modification of the projector-based embedding scheme of Manby and co-workers [J. Chem. Phys. 140, 18A507 (2014)] is proposed. We also use localized orbitals to partition the system, but instead of augmenting the Fock operator with a somewhat arbitrary level-shift projector we solve the Huzinaga-equation, which strictly enforces the Pauli exclusion principle. Second, the embedding of WFT methods in local correlation approaches is studied. Since the latter methods split up the system into local domains, very simple embedding theories can be defined if the domains of the active subsystem and the environment are treated at a different level. The considered embedding schemes are benchmarked for reaction energies and compared to quantum mechanics (QM)/molecular mechanics (MM) and vacuum embedding. We conclude that for DFT-in-DFT embedding, the Huzinaga-equation-based scheme is more efficient than the other approaches, but QM/MM or even simple vacuum embedding is still competitive in particular cases. Concerning the embedding of wave function methods, the clear winner is the embedding of WFT into low-level local correlation approaches, and WFT-in-DFT embedding can only be more advantageous if a non-hybrid density functional is employed.

  5. Multi-hop localization algorithm based on grid-scanning for wireless sensor networks.

    Science.gov (United States)

    Wan, Jiangwen; Guo, Xiaolei; Yu, Ning; Wu, Yinfeng; Feng, Renjian

    2011-01-01

    For large-scale wireless sensor networks (WSNs) with a minority of anchor nodes, multi-hop localization is a popular scheme for determining the geographical positions of the normal nodes. However, in practice existing multi-hop localization methods suffer from various kinds of problems, such as poor adaptability to irregular topology, high computational complexity, low positioning accuracy, etc. To address these issues in this paper, we propose a novel Multi-hop Localization algorithm based on Grid-Scanning (MLGS). First, the factors that influence the multi-hop distance estimation are studied and a more realistic multi-hop localization model is constructed. Then, the feasible regions of the normal nodes are determined according to the intersection of bounding square rings. Finally, a verifiably good approximation scheme based on grid-scanning is developed to estimate the coordinates of the normal nodes. Additionally, the positioning accuracy of the normal nodes can be improved through neighbors' collaboration. Extensive simulations are performed in isotropic and anisotropic networks. The comparisons with some typical algorithms of node localization confirm the effectiveness and efficiency of our algorithm.

  6. Fusion-based multi-target tracking and localization for intelligent surveillance systems

    Science.gov (United States)

    Rababaah, Haroun; Shirkhodaie, Amir

    2008-04-01

    In this paper, we have presented two approaches addressing visual target tracking and localization in complex urban environment. The two techniques presented in this paper are: fusion-based multi-target visual tracking, and multi-target localization via camera calibration. For multi-target tracking, the data fusion concepts of hypothesis generation/evaluation/selection, target-to-target registration, and association are employed. An association matrix is implemented using RGB histograms for associated tracking of multi-targets of interests. Motion segmentation of targets of interest (TOI) from the background was achieved by a Gaussian Mixture Model. Foreground segmentation, on other hand, was achieved by the Connected Components Analysis (CCA) technique. The tracking of individual targets was estimated by fusing two sources of information, the centroid with the spatial gating, and the RGB histogram association matrix. The localization problem is addressed through an effective camera calibration technique using edge modeling for grid mapping (EMGM). A two-stage image pixel to world coordinates mapping technique is introduced that performs coarse and fine location estimation of moving TOIs. In coarse estimation, an approximate neighborhood of the target position is estimated based on nearest 4-neighbor method, and in fine estimation, we use Euclidean interpolation to localize the position within the estimated four neighbors. Both techniques were tested and shown reliable results for tracking and localization of Targets of interests in complex urban environment.

  7. Promoting Sustainability Transparency in European Local Governments: An Empirical Analysis Based on Administrative Cultures

    Directory of Open Access Journals (Sweden)

    Andrés Navarro-Galera

    2017-03-01

    Full Text Available Nowadays, the transparency of governments with respect to the sustainability of public services is a very interesting issue for stakeholders and academics. It has led to previous research and international organisations (EU, IMF, OECD, United Nations, IFAC, G-20, World Bank to recommend promotion of the online dissemination of economic, social and environmental information. Based on previous studies about e-government and the influence of administrative cultures on governmental accountability, this paper seeks to identify political actions useful to improve the practices of transparency on economic, social and environmental sustainability in European local governments. We perform a comparative analysis of sustainability information published on the websites of 72 local governments in 10 European countries grouped into main three cultural contexts (Anglo-Saxon, Southern European and Nordic. Using international sustainability reporting guidelines, our results reveal significant differences in local government transparency in each context. The most transparent local governments are the Anglo-Saxon ones, followed by Southern European and Nordic governments. Based on individualized empirical results for each administrative style, our conclusions propose useful policy interventions to enhance sustainability transparency within each cultural tradition, such as development of legal rules on transparency and sustainability, tools to motivate local managers for online diffusion of sustainability information and analysis of information needs of stakeholders.

  8. Exact density functional and wave function embedding schemes based on orbital localization

    Energy Technology Data Exchange (ETDEWEB)

    Hégely, Bence; Nagy, Péter R.; Kállay, Mihály, E-mail: kallay@mail.bme.hu [MTA-BME Lendület Quantum Chemistry Research Group, Department of Physical Chemistry and Materials Science, Budapest University of Technology and Economics, P.O. Box 91, H-1521 Budapest (Hungary); Ferenczy, György G. [Medicinal Chemistry Research Group, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Magyar tudósok körútja 2, H-1117 Budapest (Hungary); Department of Biophysics and Radiation Biology, Semmelweis University, Tűzoltó u. 37-47, H-1094 Budapest (Hungary)

    2016-08-14

    Exact schemes for the embedding of density functional theory (DFT) and wave function theory (WFT) methods into lower-level DFT or WFT approaches are introduced utilizing orbital localization. First, a simple modification of the projector-based embedding scheme of Manby and co-workers [J. Chem. Phys. 140, 18A507 (2014)] is proposed. We also use localized orbitals to partition the system, but instead of augmenting the Fock operator with a somewhat arbitrary level-shift projector we solve the Huzinaga-equation, which strictly enforces the Pauli exclusion principle. Second, the embedding of WFT methods in local correlation approaches is studied. Since the latter methods split up the system into local domains, very simple embedding theories can be defined if the domains of the active subsystem and the environment are treated at a different level. The considered embedding schemes are benchmarked for reaction energies and compared to quantum mechanics (QM)/molecular mechanics (MM) and vacuum embedding. We conclude that for DFT-in-DFT embedding, the Huzinaga-equation-based scheme is more efficient than the other approaches, but QM/MM or even simple vacuum embedding is still competitive in particular cases. Concerning the embedding of wave function methods, the clear winner is the embedding of WFT into low-level local correlation approaches, and WFT-in-DFT embedding can only be more advantageous if a non-hybrid density functional is employed.

  9. Adaptive local surface refinement based on LR NURBS and its application to contact

    Science.gov (United States)

    Zimmermann, Christopher; Sauer, Roger A.

    2017-12-01

    A novel adaptive local surface refinement technique based on Locally Refined Non-Uniform Rational B-Splines (LR NURBS) is presented. LR NURBS can model complex geometries exactly and are the rational extension of LR B-splines. The local representation of the parameter space overcomes the drawback of non-existent local refinement in standard NURBS-based isogeometric analysis. For a convenient embedding into general finite element codes, the Bézier extraction operator for LR NURBS is formulated. An automatic remeshing technique is presented that allows adaptive local refinement and coarsening of LR NURBS. In this work, LR NURBS are applied to contact computations of 3D solids and membranes. For solids, LR NURBS-enriched finite elements are used to discretize the contact surfaces with LR NURBS finite elements, while the rest of the body is discretized by linear Lagrange finite elements. For membranes, the entire surface is discretized by LR NURBS. Various numerical examples are shown, and they demonstrate the benefit of using LR NURBS: Compared to uniform refinement, LR NURBS can achieve high accuracy at lower computational cost.

  10. Multiple Signal Classification Algorithm Based Electric Dipole Source Localization Method in an Underwater Environment

    Directory of Open Access Journals (Sweden)

    Yidong Xu

    2017-10-01

    Full Text Available A novel localization method based on multiple signal classification (MUSIC algorithm is proposed for positioning an electric dipole source in a confined underwater environment by using electric dipole-receiving antenna array. In this method, the boundary element method (BEM is introduced to analyze the boundary of the confined region by use of a matrix equation. The voltage of each dipole pair is used as spatial-temporal localization data, and it does not need to obtain the field component in each direction compared with the conventional fields based localization method, which can be easily implemented in practical engineering applications. Then, a global-multiple region-conjugate gradient (CG hybrid search method is used to reduce the computation burden and to improve the operation speed. Two localization simulation models and a physical experiment are conducted. Both the simulation results and physical experiment result provide accurate positioning performance, with the help to verify the effectiveness of the proposed localization method in underwater environments.

  11. MR-based source localization for MR-guided HDR brachytherapy

    Science.gov (United States)

    Beld, E.; Moerland, M. A.; Zijlstra, F.; Viergever, M. A.; Lagendijk, J. J. W.; Seevinck, P. R.

    2018-04-01

    For the purpose of MR-guided high-dose-rate (HDR) brachytherapy, a method for real-time localization of an HDR brachytherapy source was developed, which requires high spatial and temporal resolutions. MR-based localization of an HDR source serves two main aims. First, it enables real-time treatment verification by determination of the HDR source positions during treatment. Second, when using a dummy source, MR-based source localization provides an automatic detection of the source dwell positions after catheter insertion, allowing elimination of the catheter reconstruction procedure. Localization of the HDR source was conducted by simulation of the MR artifacts, followed by a phase correlation localization algorithm applied to the MR images and the simulated images, to determine the position of the HDR source in the MR images. To increase the temporal resolution of the MR acquisition, the spatial resolution was decreased, and a subpixel localization operation was introduced. Furthermore, parallel imaging (sensitivity encoding) was applied to further decrease the MR scan time. The localization method was validated by a comparison with CT, and the accuracy and precision were investigated. The results demonstrated that the described method could be used to determine the HDR source position with a high accuracy (0.4–0.6 mm) and a high precision (⩽0.1 mm), at high temporal resolutions (0.15–1.2 s per slice). This would enable real-time treatment verification as well as an automatic detection of the source dwell positions.

  12. Design strategies for enhancing carrier localization in InGaN-based light-emitting diodes

    International Nuclear Information System (INIS)

    Yang, Yujue; Ma, Ping; Wei, Xuecheng; Yan, Dan; Wang, Yafang; Zeng, Yiping

    2014-01-01

    By designing the quantum well structure with the introduction of GaN and InN interlayers into the InGaN wells, the carrier localization is enhanced by demonstrating temperature-dependent photoluminescence (PL) measurements. Two emission peaks corresponding to In-rich localized state and quantum well ground state emissions are observed from the electroluminescence (EL) spectra, which demonstrates that the phase separation takes place in our designed structures and the enhanced phase separation is most likely the dominated mechanism for the formation of In-rich localized states, accounting for the stronger localization and hence improved light-emission characteristics. Therefore, it is suggested that enhancing localization is possible, to some extent, by modulating the QW structures with the introduction of the GaN and InN interlayers for superior light-emission performances in InGaN-based light-emitting diodes (LEDs). Moreover, the nonradiative channel probably associated with InN droplet is proved to be existent from the Arrhenius plots in our InGaN–delta-InN MQW structure. - Highlights: • By designing the quantum well structure with the introduction of GaN and InN interlayers into the InGaN wells, the carrier localization is enhanced. • Two emission peaks observed from electroluminescence (EL) spectra demonstrate that the enhanced phase separation is most likely the dominated mechanism for the formation of In-rich localized states, accounting for the stronger localization. • The nonradiative channel associated with InN droplet is proved to be existent from the Arrhenius plots

  13. Incorporating Unmanned Aircraft Systems (UAS) into High School Curricula in Hawaii

    Science.gov (United States)

    McGillivary, P. A.; Lukaczyk, T.; Brendan, B.; Tomita, M.; Ralston, T.; Purdy, G.

    2016-12-01

    The availability of low-cost unmanned aircraft systems (UAS) permits their integration in educational programs. We report on experiences and future opportunities for incorporating UAS into High School curricula in Hawaii. We first review existing high school UAS programs and teaching material to highlight curricula options and needs. By working on the privately owned Island of Lana'i, we had permission for extensive UAS operation. Our initial focus of UAS educational outreach was on coastal ecosystems where erosion of overgrazed lands affects coral reefs and traditional coastal Hawaiian fishpond restoration projects which include high school students. We provide results of our classroom approach allowing students to learn to fly small, inexpensive UAS and discuss the different results at different grade levels. In addition to providing basic concepts of flight aeronautics, we reviewed information on safe and legal operation of UAS, as well as data management issues including geo-registration and imaging mosaics. We recommend science projects where UAS can study short-term events (e.g. storm runoff) or can be used for routine environmental monitoring over longer periods. Additionally, by linking students with local drone and drone racing clubs student participation and interest in UAS was extended beyond the classroom in a complementary manner. We propose inclusion of UAS into a future high school curriculum via a program called the Moonshot Laboratory which strives to repurpose traditional education structures toward design thinking, making use of individual and group collaborations to address self-selected projects relevant to local community interests. A Moonshot facility allows students to spend a portion of their week in a technology equipped makerspace, with access to university, business and community mentors, both local and remote. UAS projects are expected to address basic student questions, such as: how can I build a drone to take water samples?; how can I

  14. Model-based synthesis of locally contingent responses to global market signals

    Science.gov (United States)

    Magliocca, N. R.

    2015-12-01

    Rural livelihoods and the land systems on which they depend are increasingly influenced by distant markets through economic globalization. Place-based analyses of land and livelihood system sustainability must then consider both proximate and distant influences on local decision-making. Thus, advancing land change theory in the context of economic globalization calls for a systematic understanding of the general processes as well as local contingencies shaping local responses to global signals. Synthesis of insights from place-based case studies of land and livelihood change is a path forward for developing such systematic knowledge. This paper introduces a model-based synthesis approach to investigating the influence of local socio-environmental and agent-level factors in mediating land-use and livelihood responses to changing global market signals. A generalized agent-based modeling framework is applied to six case-study sites that differ in environmental conditions, market access and influence, and livelihood settings. The largest modeled land conversions and livelihood transitions to market-oriented production occurred in sties with relatively productive agricultural land and/or with limited livelihood options. Experimental shifts in the distributions of agents' risk tolerances generally acted to attenuate or amplify responses to changes in global market signals. Importantly, however, responses of agents at different points in the risk tolerance distribution varied widely, with the wealth gap growing wider between agents with higher or lower risk tolerance. These results demonstrate model-based synthesis is a promising approach to overcome many of the challenges of current synthesis methods in land change science, and to identify generalized as well as locally contingent responses to global market signals.

  15. Dominant Glint Based Prey Localization in Horseshoe Bats: A Possible Strategy for Noise Rejection

    OpenAIRE

    Vanderelst, Dieter; Reijniers, Jonas; Firzlaff, Uwe; Peremans, Herbert

    2011-01-01

    Rhinolophidae or Horseshoe bats emit long and narrowband calls. Fluttering insect prey generates echoes in which amplitude and frequency shifts are present, i.e. glints. These glints are reliable cues about the presence of prey and also encode certain properties of the prey. In this paper, we propose that these glints, i.e. the dominant glints, are also reliable signals upon which to base prey localization. In contrast to the spectral cues used by many other bats, the localization cues in Rhi...

  16. Costs of performance based maintenance for local roads: Case study Albania

    Science.gov (United States)

    Jokanović, Igor; Grujić, Bojana; Zeljić, Dragana; Grujić, Žarko; Svilar, Mila

    2017-12-01

    The provision and maintenance of road infrastructure is a major global business, consequently it is essential that road maintenance services are provided in the most cost effective manner. Without regular maintenance, roads can rapidly fall into disrepair, preventing realization of the longer term impacts of road improvements on development, such as increased agricultural production and growth in school enrollment, which is of particular importance for a network of local (access) roads. Inadequate local roads maintenance in Albania is proposed to be solved by implementing performance based maintenance approach for which the costing exercise is presented within the paper.

  17. Local Medicaid home- and community-based services spending and nursing home admissions of younger adults.

    Science.gov (United States)

    Thomas, Kali S; Keohane, Laura; Mor, Vincent

    2014-11-01

    We used fixed-effect models to examine the relationship between local spending on home- and community-based services (HCBSs) for cash-assisted Medicaid-only disabled (CAMOD) adults and younger adult admissions to nursing homes in the United States during 2001 through 2008, with control for facility and market characteristics and secular trends. We found that increased CAMOD Medicaid HCBS spending at the local level is associated with decreased admissions of younger adults to nursing homes. Our findings suggest that states' efforts to expand HCBS for this population should continue.

  18. New prediction of chaotic time series based on local Lyapunov exponent

    International Nuclear Information System (INIS)

    Zhang Yong

    2013-01-01

    A new method of predicting chaotic time series is presented based on a local Lyapunov exponent, by quantitatively measuring the exponential rate of separation or attraction of two infinitely close trajectories in state space. After reconstructing state space from one-dimensional chaotic time series, neighboring multiple-state vectors of the predicting point are selected to deduce the prediction formula by using the definition of the local Lyapunov exponent. Numerical simulations are carried out to test its effectiveness and verify its higher precision over two older methods. The effects of the number of referential state vectors and added noise on forecasting accuracy are also studied numerically. (general)

  19. Thoughts About Nursing Curricula: Dark Clouds and Bright Lights.

    Science.gov (United States)

    Turkel, Marian C; Fawcett, Jacqueline; Amankwaa, Linda; Clarke, Pamela N; Dee, Vivien; Eustace, Rosemary; Hansell, Phyllis Shanley; Jones, Dorothy A; Smith, Marlaine C; Zahourek, Rothlyn

    2018-04-01

    In this essay, several nurse scholars who are particularly concerned about the contemporary state of nursing science present their concerns about the inclusion of nursing conceptual models and theories in the curricula of nursing programs (dark clouds) and ways in which the concerns have been addressed (bright lights). This essay is the second of two essays that were catalyzed by Barrett's paper, "Again, What Is Nursing Science?" The first essay was published in the previous issue of Nursing Science Quarterly.

  20. Financial Education Through Mathematics and IT Curricula: Pocket Money Management

    OpenAIRE

    Gortcheva, Iordanka

    2013-01-01

    Report published in the Proceedings of the National Conference on "Education in the Information Society", Plovdiv, May, 2013 Mathematics and IT classes in the Bulgarian school provide various opportunities for developing students’ logical, mathematical, and technological thinking. Being an important part of mathematical literacy, financial literacy can be systematically built in the frame of national mathematics and IT curricula. Following that objective, exemplary word problems ...

  1. Improving students’ creative thinking skill through local material-based experiment (LMBE) on protein qualitative test

    Science.gov (United States)

    Supriyanti, F. M. T.; Halimatul, H. S.

    2018-05-01

    This study aims to enhance chemistry students’ creative thinking skills using material from local resources on protein qualitative test experiment (LMBE). In this study, a quasi experiment method using one group pretest-postest non-equivalen control group design was carried out on the effectiveness of local material-based experiment approach. The data was collected using the test consists of five assay test and student work sheet (LKM). The effectiveness of the local material-based experiment was tested by means of percentage of normalized gain and score percentage of students’ worksheet. Comparison of creative thinking skills pretest and postest scores showed that the implementation of local material- based experiment (LMBE) enhanced students’s creative thinking skills in experiment class with the value of normalized gain (=0,77) at high category, while in control class reached to =0,44 at medium category. In addition, the LKM shown the enhancements of all aspect of creative thinking skills, including fluency, flexibility, and elaboration skills with the score of in experiment class are 0.79; 0.75; and 0.87 at high category, respectively. In contrast, the only the elaboration skill of control group was improved at high category (=0.76), while fluency and flexibility indicators enhanced at medium category (=0.48 and 0.56, respectively).

  2. Equivalent charge source model based iterative maximum neighbor weight for sparse EEG source localization.

    Science.gov (United States)

    Xu, Peng; Tian, Yin; Lei, Xu; Hu, Xiao; Yao, Dezhong

    2008-12-01

    How to localize the neural electric activities within brain effectively and precisely from the scalp electroencephalogram (EEG) recordings is a critical issue for current study in clinical neurology and cognitive neuroscience. In this paper, based on the charge source model and the iterative re-weighted strategy, proposed is a new maximum neighbor weight based iterative sparse source imaging method, termed as CMOSS (Charge source model based Maximum neighbOr weight Sparse Solution). Different from the weight used in focal underdetermined system solver (FOCUSS) where the weight for each point in the discrete solution space is independently updated in iterations, the new designed weight for each point in each iteration is determined by the source solution of the last iteration at both the point and its neighbors. Using such a new weight, the next iteration may have a bigger chance to rectify the local source location bias existed in the previous iteration solution. The simulation studies with comparison to FOCUSS and LORETA for various source configurations were conducted on a realistic 3-shell head model, and the results confirmed the validation of CMOSS for sparse EEG source localization. Finally, CMOSS was applied to localize sources elicited in a visual stimuli experiment, and the result was consistent with those source areas involved in visual processing reported in previous studies.

  3. Signal-to-noise based local decorrelation compensation for speckle interferometry applications

    International Nuclear Information System (INIS)

    Molimard, Jerome; Cordero, Raul; Vautrin, Alain

    2008-01-01

    Speckle-based interferometric techniques allow assessing the whole-field deformation induced on a specimen due to the application of load. These high sensitivity optical techniques yield fringe images generated by subtracting speckle patterns captured while the specimen undergoes deformation. The quality of the fringes, and in turn the accuracy of the deformation measurements, strongly depends on the speckle correlation. Specimen rigid body motion leads to speckle decorrelation that, in general, cannot be effectively counteracted by applying a global translation to the involved speckle patterns. In this paper, we propose a recorrelation procedure based on the application of locally evaluated translations. The proposed procedure implies dividing the field into several regions, applying a local translation, and calculating, in every region, the signal-to-noise ratio (SNR). Since the latter is a correlation indicator (the noise increases with the decorrelation) we argue that the proper translation is that which maximizes the locally evaluated SNR. The search of the proper local translations is, of course, an interactive process that can be facilitated by using a SNR optimization algorithm. The performance of the proposed recorrelation procedure was tested on two examples. First, the SNR optimization algorithm was applied to fringe images obtained by subtracting simulated speckle patterns. Next, it was applied to fringe images obtained by using a shearography optical setup from a specimen subjected to mechanical deformation. Our results show that the proposed SNR optimization method can significantly improve the reliability of measurements performed by using speckle-based techniques

  4. A Local Texture-Based Superpixel Feature Coding for Saliency Detection Combined with Global Saliency

    Directory of Open Access Journals (Sweden)

    Bingfei Nan

    2015-12-01

    Full Text Available Because saliency can be used as the prior knowledge of image content, saliency detection has been an active research area in image segmentation, object detection, image semantic understanding and other relevant image-based applications. In the case of saliency detection from cluster scenes, the salient object/region detected needs to not only be distinguished clearly from the background, but, preferably, to also be informative in terms of complete contour and local texture details to facilitate the successive processing. In this paper, a Local Texture-based Region Sparse Histogram (LTRSH model is proposed for saliency detection from cluster scenes. This model uses a combination of local texture patterns and color distribution as well as contour information to encode the superpixels to characterize the local feature of image for region contrast computing. Combining the region contrast as computed with the global saliency probability, a full-resolution salient map, in which the salient object/region detected adheres more closely to its inherent feature, is obtained on the bases of the corresponding high-level saliency spatial distribution as well as on the pixel-level saliency enhancement. Quantitative comparisons with five state-of-the-art saliency detection methods on benchmark datasets are carried out, and the comparative results show that the method we propose improves the detection performance in terms of corresponding measurements.

  5. Compressing Sensing Based Source Localization for Controlled Acoustic Signals Using Distributed Microphone Arrays

    Directory of Open Access Journals (Sweden)

    Wei Ke

    2017-01-01

    Full Text Available In order to enhance the accuracy of sound source localization in noisy and reverberant environments, this paper proposes an adaptive sound source localization method based on distributed microphone arrays. Since sound sources lie at a few points in the discrete spatial domain, our method can exploit this inherent sparsity to convert the localization problem into a sparse recovery problem based on the compressive sensing (CS theory. In this method, a two-step discrete cosine transform- (DCT- based feature extraction approach is utilized to cover both short-time and long-time properties of acoustic signals and reduce the dimensions of the sparse model. In addition, an online dictionary learning (DL method is used to adjust the dictionary for matching the changes of audio signals, and then the sparse solution could better represent location estimations. Moreover, we propose an improved block-sparse reconstruction algorithm using approximate l0 norm minimization to enhance reconstruction performance for sparse signals in low signal-noise ratio (SNR conditions. The effectiveness of the proposed scheme is demonstrated by simulation results and experimental results where substantial improvement for localization performance can be obtained in the noisy and reverberant conditions.

  6. A novel local learning based approach with application to breast cancer diagnosis

    Science.gov (United States)

    Xu, Songhua; Tourassi, Georgia

    2012-03-01

    In this paper, we introduce a new local learning based approach and apply it for the well-studied problem of breast cancer diagnosis using BIRADS-based mammographic features. To learn from our clinical dataset the latent relationship between these features and the breast biopsy result, our method first dynamically partitions the whole sample population into multiple sub-population groups through stochastically searching the sample population clustering space. Each encountered clustering scheme in our online searching process is then used to create a certain sample population partition plan. For every resultant sub-population group identified according to a partition plan, our method then trains a dedicated local learner to capture the underlying data relationship. In our study, we adopt the linear logistic regression model as our local learning method's base learner. Such a choice is made both due to the well-understood linear nature of the problem, which is compellingly revealed by a rich body of prior studies, and the computational efficiency of linear logistic regression--the latter feature allows our local learning method to more effectively perform its search in the sample population clustering space. Using a database of 850 biopsy-proven cases, we compared the performance of our method with a large collection of publicly available state-of-the-art machine learning methods and successfully demonstrated its performance advantage with statistical significance.

  7. Enhancement of bone shadow region using local phase-based ultrasound transmission maps.

    Science.gov (United States)

    Hacihaliloglu, Ilker

    2017-06-01

    Ultrasound is increasingly being employed in different orthopedic procedures as an imaging modality for real-time guidance. Nevertheless, low signal-to-noise-ratio and different imaging artifacts continue to hamper the success of ultrasound-based procedures. Bone shadow region is an important feature indicating the presence of bone/tissue interface in the acquired ultrasound data. Enhancement and automatic detection of this region could improve the sensitivity of ultrasound for imaging bone and result in improved guidance for various orthopedic procedures. In this work, a method is introduced for the enhancement of bone shadow regions from B-mode ultrasound data. The method is based on the combination of three different image phase features: local phase tensor, local weighted mean phase angle, and local phase energy. The combined local phase image features are used as an input to an [Formula: see text] norm-based contextual regularization method which emphasizes uncertainty in the shadow regions. The enhanced bone shadow images are automatically segmented and compared against expert segmentation. Qualitative and quantitative validation was performed on 100 in vivo US scans obtained from five subjects by scanning femur and vertebrae bones. Validation against expert segmentation achieved a mean dice similarity coefficient of 0.88. The encouraging results obtained in this initial study suggest that the proposed method is promising enough for further evaluation. The calculated bone shadow maps could be incorporated into different ultrasound bone segmentation and registration approaches as an additional feature.

  8. Transforming distance education curricula through distributive leadership

    Directory of Open Access Journals (Sweden)

    Mike Keppell

    2010-12-01

    Full Text Available This paper examines a core leadership strategy for transforming learning and teaching in distance education through flexible and blended learning. It focuses on a project centred on distributive leadership that involves collaboration, shared purpose, responsibility and recognition of leadership irrespective of role or position within an organisation. Distributive leadership was a core principle in facilitating the transformation of learning and teaching through a Teaching Fellowship Scheme that empowered leaders across a regional distance education university. In parallel, a design-based research project analysed the perceptions of the Teaching Fellows in relation to blended learning, time/space, peer learning, innovation and equity issues in relation to distance education.

  9. Networked curricula: fostering transnational partnership in open and distance learning

    Directory of Open Access Journals (Sweden)

    María Luz Cacheiro-González

    2013-05-01

    Full Text Available Transnational Networked Curricula (TNC provides many benefits to the institutions that offer them as well as to the different stakeholders involved, not only the students but also the academics, the institutions as a whole, and the wider society. Supporting Higher Education Institutions in enhancing and implementing international networked practices in virtual campus building is the main aim of the NetCU project, which has been developed by the EADTU, in partnership with 14 member organizations, from 2009 to 2012. The project outcomes intend to facilitate the future set-up of networked curricula in Higher Education institutions and potentially lead to more transnational partnerships in Open and Distance Education (ODE and blended learning, showing challenges, obstacles and ways to overcome them. This paper presents the main products developed in the project, assesses its completeness and usage, and discusses on the challenges of curricula networking starting from the ideas and opinions shared in different stakeholders workshops organized under the NetCU project.

  10. Anchoring interprofessional education in undergraduate curricula: The Heidelberg story.

    Science.gov (United States)

    Berger, Sarah; Goetz, Katja; Leowardi-Bauer, Christina; Schultz, Jobst-Hendrik; Szecsenyi, Joachim; Mahler, Cornelia

    2017-03-01

    The ability of health professionals to collaborate effectively has significant potential impact on patient safety and quality-care outcomes, especially given the increasingly complex and dynamic clinical practice environments of today. Educators of the health professions are faced with an immediate challenge to adapt curricula and traditional teaching methods to ensure graduates are equipped with the necessary interprofessional competencies and (inter)professional values for their future practice. The World Health Organization's "Framework for action in interprofessional education (IPE) and collaborative practice" promotes IPE as a key strategy to enhance patient outcomes by preparing a "collaborative practice-ready health workforce." Logistical and attitudinal barriers can hinder integration of IPE into curricula. Lessons learned through the implementation of a planned change to establish four interprofessional seminars (team communication, medical error communication, healthcare English, and small business management) at Heidelberg University Medical Faculty, Germany, are described. A key factor in successfully anchoring IPE seminars in the undergraduate curricula was the structured approach drawing on change management concepts.

  11. The use of GIS-based support of recreational trail planning by local governments

    DEFF Research Database (Denmark)

    Olafsson, Anton Stahl; Skov-Petersen, Hans

    2014-01-01

    In the last decade, multiple GIS-based planning support systems have been developed in order to improve the basis for spatial planning. Recent research has focused on problems regarding a lack of utilisation or barriers to the use of advanced GIS and GIS-based planning support systems in planning...... applications. This paper discusses these research findings in the context of outdoor recreational planning by local governments in Denmark. According to a national survey of municipal planners, GIS-based planning support is widely used in Denmark, but more GIS is needed and is being requested for local outdoor...... recreation planning. However, considerable differences exist between the ways municipalities assess their need for and use of GIS planning support. These differences are explored in more detail using a factor analysis of planning variables and uses of GIS. Three situations are described: 1) extensive network...

  12. Kinect Posture Reconstruction Based on a Local Mixture of Gaussian Process Models.

    Science.gov (United States)

    Liu, Zhiguang; Zhou, Liuyang; Leung, Howard; Shum, Hubert P H

    2016-11-01

    Depth sensor based 3D human motion estimation hardware such as Kinect has made interactive applications more popular recently. However, it is still challenging to accurately recognize postures from a single depth camera due to the inherently noisy data derived from depth images and self-occluding action performed by the user. In this paper, we propose a new real-time probabilistic framework to enhance the accuracy of live captured postures that belong to one of the action classes in the database. We adopt the Gaussian Process model as a prior to leverage the position data obtained from Kinect and marker-based motion capture system. We also incorporate a temporal consistency term into the optimization framework to constrain the velocity variations between successive frames. To ensure that the reconstructed posture resembles the accurate parts of the observed posture, we embed a set of joint reliability measurements into the optimization framework. A major drawback of Gaussian Process is its cubic learning complexity when dealing with a large database due to the inverse of a covariance matrix. To solve the problem, we propose a new method based on a local mixture of Gaussian Processes, in which Gaussian Processes are defined in local regions of the state space. Due to the significantly decreased sample size in each local Gaussian Process, the learning time is greatly reduced. At the same time, the prediction speed is enhanced as the weighted mean prediction for a given sample is determined by the nearby local models only. Our system also allows incrementally updating a specific local Gaussian Process in real time, which enhances the likelihood of adapting to run-time postures that are different from those in the database. Experimental results demonstrate that our system can generate high quality postures even under severe self-occlusion situations, which is beneficial for real-time applications such as motion-based gaming and sport training.

  13. A cloud based tool for knowledge exchange on local scale flood risk.

    Science.gov (United States)

    Wilkinson, M E; Mackay, E; Quinn, P F; Stutter, M; Beven, K J; MacLeod, C J A; Macklin, M G; Elkhatib, Y; Percy, B; Vitolo, C; Haygarth, P M

    2015-09-15

    There is an emerging and urgent need for new approaches for the management of environmental challenges such as flood hazard in the broad context of sustainability. This requires a new way of working which bridges disciplines and organisations, and that breaks down science-culture boundaries. With this, there is growing recognition that the appropriate involvement of local communities in catchment management decisions can result in multiple benefits. However, new tools are required to connect organisations and communities. The growth of cloud based technologies offers a novel way to facilitate this process of exchange of information in environmental science and management; however, stakeholders need to be engaged with as part of the development process from the beginning rather than being presented with a final product at the end. Here we present the development of a pilot Local Environmental Virtual Observatory Flooding Tool. The aim was to develop a cloud based learning platform for stakeholders, bringing together fragmented data, models and visualisation tools that will enable these stakeholders to make scientifically informed environmental management decisions at the local scale. It has been developed by engaging with different stakeholder groups in three catchment case studies in the UK and a panel of national experts in relevant topic areas. However, these case study catchments are typical of many northern latitude catchments. The tool was designed to communicate flood risk in locally impacted communities whilst engaging with landowners/farmers about the risk of runoff from the farmed landscape. It has been developed iteratively to reflect the needs, interests and capabilities of a wide range of stakeholders. The pilot tool combines cloud based services, local catchment datasets, a hydrological model and bespoke visualisation tools to explore real time hydrometric data and the impact of flood risk caused by future land use changes. The novel aspects of the

  14. Building local competences to meet mining activities – strategies based on experiences from Greenland and Island

    DEFF Research Database (Denmark)

    Jørgensen, Ulrik; Gjedssø Bertelsen, Rasmus; Hendriksen, Kåre

    Mineral extraction in the Arctic is seen as a key to overcome future shortages of raw materials and local economic challenges in northern regions. Governmental strategies aim at building competence in governance and a local workforce that can be employed in mining industries and related businesses....... However many mining companies envisage potentials for a fast extraction of the resources using immigrant and migrant laborers that work intensively over a period of time while living in shantytowns. Past Greenland experiences with this type of work organization is not particularly positive. Experiences...... predominantly been based of norms and practices handled by international consultants and the specific topics lack important impacts related to the speed of economic exploitation and the options for social and educational development for the local population. International experiences also demonstrate...

  15. Real time object localization based on histogram of s-RGB

    Science.gov (United States)

    Mudjirahardjo, Panca; Suyono, Hadi; Setyawan, Raden Arief

    2017-09-01

    Object localization is the first task in pattern detection and recognition. This task is very important due to it reduces the searching time to the interest object. In this paper we introduce our novel method of object localization based on color feature. Our novel method is a histogram of s-RGB. This histogram is used in the training phase to determine the color dominant in the initial Region of Interest (ROI). Then this information is used to label the interest object. To reduce noise and localize the interest object, we apply the row and column density function of pixels. The comparison result with some processes, our system gives a best result and takes a short computation time of 26.56 ms, in the video rate of 15 frames per second (fps).

  16. Energy concepts for self-supplying communities based on local and renewable energy sources

    DEFF Research Database (Denmark)

    Petersen, Jens-Phillip

    2016-01-01

    The reduction of GHG emissions in buildings is a focus area of national energy policies, because buildings are responsible for a major share of energy consumption. Policies to increase the share of renewable energies and energy efficiency measures are implemented at local scale. Municipalities...... that virtually allow a heating energy and electricity supply fully based on local, renewable energy resources. The most feasible and cost-efficient variant is the use of local food production waste in a CHP plant feeding a district heating grid. The overall aim is to show that a self-sufficient heat......- and electricity supply of typical urban communities is possible and can be implemented in a cost-efficient way, if the energy planning is done systematically and in coherence with urban planning....

  17. An infrared small target detection method based on multiscale local homogeneity measure

    Science.gov (United States)

    Nie, Jinyan; Qu, Shaocheng; Wei, Yantao; Zhang, Liming; Deng, Lizhen

    2018-05-01

    Infrared (IR) small target detection plays an important role in the field of image detection area owing to its intrinsic characteristics. This paper presents a multiscale local homogeneity measure (MLHM) for infrared small target detection, which can enhance the performance of IR small target detection system. Firstly, intra-patch homogeneity of the target itself and the inter-patch heterogeneity between target and the local background regions are integrated to enhance the significant of small target. Secondly, a multiscale measure based on local regions is proposed to obtain the most appropriate response. Finally, an adaptive threshold method is applied to small target segmentation. Experimental results on three different scenarios indicate that the MLHM has good performance under the interference of strong noise.

  18. Image and video based remote target localization and tracking on smartphones

    Science.gov (United States)

    Wang, Qia; Lobzhanidze, Alex; Jang, Hyun; Zeng, Wenjun; Shang, Yi; Yang, Jingyu

    2012-06-01

    Smartphones are becoming popular nowadays not only because of its communication functionality but also, more importantly, its powerful sensing and computing capability. In this paper, we describe a novel and accurate image and video based remote target localization and tracking system using the Android smartphones, by leveraging its built-in sensors such as camera, digital compass, GPS, etc. Even though many other distance estimation or localization devices are available, our all-in-one, easy-to-use localization and tracking system on low cost and commodity smartphones is first of its kind. Furthermore, smartphones' exclusive user-friendly interface has been effectively taken advantage of by our system to facilitate low complexity and high accuracy. Our experimental results show that our system works accurately and efficiently.

  19. Properties of predictor based on relative neighborhood graph localized FIR filters

    DEFF Research Database (Denmark)

    Sørensen, John Aasted

    1995-01-01

    A time signal prediction algorithm based on relative neighborhood graph (RNG) localized FIR filters is defined. The RNG connects two nodes, of input space dimension D, if their lune does not contain any other node. The FIR filters associated with the nodes, are used for local approximation...... of the training vectors belonging to the lunes formed by the nodes. The predictor training is carried out by iteration through 3 stages: initialization of the RNG of the training signal by vector quantization, LS estimation of the FIR filters localized in the input space by RNG nodes and adaptation of the RNG...... nodes by equalizing the LS approximation error among the lunes formed by the nodes of the RNG. The training properties of the predictor is exemplified on a burst signal and characterized by the normalized mean square error (NMSE) and the mean valence of the RNG nodes through the adaptation...

  20. Mobile Device Passive Localization Based on IEEE 802.11 Probe Request Frames

    Directory of Open Access Journals (Sweden)

    Lin Sun

    2017-01-01

    Full Text Available This paper presents a novel passive mobile device localization mode based on IEEE 802.11 Probe Request frames. In this approach, the listener can discover mobile devices by receiving the Probe Request frames and localize them on his walking path. The unique location of the mobile device is estimated on a geometric diagram and right-angled walking path. In model equations, site-related parameter, that is, path loss exponent, is eliminated to make the approach site-independent. To implement unique localization, the right-angled walking path is designed and the optimal location is estimated from the optional points. The performance of our method has been evaluated inside the room, outside the room, and in outdoor scenarios. Three kinds of walking paths, for example, horizontal, vertical, and slanted, are also tested.

  1. Research on the Diagnosis of Rotor Coupling Fault Based on Wavelet Packet and Local Fisher Discriminant

    Directory of Open Access Journals (Sweden)

    Guangbin Wang

    2014-09-01

    Full Text Available this article is for the coupling fault diagnosis of rotor system, and does in-depth analysis of the rotor unbalance and misalignment, and the fault formed by the coupling of these two. Through research, Rotor Coupling was found filled with rich features. In this paper, Wavelet packet de- noising ideas being introduced to the local Fisher discriminant analysis (LFDA, a new method of fault diagnosis based on Wavelet Packet and Local Fisher Discriminant is proposed. The technology of information fusion is applied to the data processing with coupling faults. By comparing and analyzing the algorithms effect of LE, LPP, FDA, LFDA and IOLFA through experiment, it shows that LE and LPP are unable to identify the fault, while FDA, LFDA has better identification, and Wavelet Packet and Local Fisher discriminant has the best effect.

  2. Competencies for first year residents - physicians' views from medical schools with different undergraduate curricula.

    Science.gov (United States)

    Fürstenberg, Sophie; Schick, Kristina; Deppermann, Jana; Prediger, Sarah; Berberat, Pascal O; Kadmon, Martina; Harendza, Sigrid

    2017-09-07

    Frameworks like the CanMEDS model depicting professional roles and specific professional activities provide guidelines for postgraduate education. When medical graduates start their residency, they should possess certain competencies related to communication, management and professionalism while other competencies will be refined during postgraduate training. Our study aimed to evaluate the relevance of different competencies for a first year resident required for entrustment decision from the perspective of physicians from medical faculties with different undergraduate medical curricula. Nine hundred fifty-two surgeons and internists from three medical schools with different undergraduate medical curricula were invited to rank 25 competencies according to their relevance for first year residents. The rankings were compared between universities, specialties, physicians' positions, and gender. Two hundred two physicians participated, 76 from Hamburg University, 44 from Oldenburg University, and 82 from Technical University Munich. No significant differences were found regarding the top 10 competencies relevant for first year residents between the universities. 'Responsibility' was the competency with the highest rank overall. Internists ranked 'Structure, work planning and priorities' higher while surgeons ranked 'Verbal communication with colleagues and supervisors' higher. Consultants evaluated 'Active listening to patients' more important than department directors and residents. Female physicians ranked 'Verbal communication with colleagues and supervisors' and 'Structure, work planning and priorities' significantly higher while male physicians ranked 'Scientifically and empirically grounded method of working' significantly higher. Physicians from universities with different undergraduate curricula principally agreed on the competencies relevant for first year residents. Some differences between physicians from different positions, specialties, and gender were

  3. Dominant glint based prey localization in horseshoe bats: a possible strategy for noise rejection.

    Science.gov (United States)

    Vanderelst, Dieter; Reijniers, Jonas; Firzlaff, Uwe; Peremans, Herbert

    2011-12-01

    Rhinolophidae or Horseshoe bats emit long and narrowband calls. Fluttering insect prey generates echoes in which amplitude and frequency shifts are present, i.e. glints. These glints are reliable cues about the presence of prey and also encode certain properties of the prey. In this paper, we propose that these glints, i.e. the dominant glints, are also reliable signals upon which to base prey localization. In contrast to the spectral cues used by many other bats, the localization cues in Rhinolophidae are most likely provided by self-induced amplitude modulations generated by pinnae movement. Amplitude variations in the echo not introduced by the moving pinnae can be considered as noise interfering with the localization process. The amplitude of the dominant glints is very stable. Therefore, these parts of the echoes contain very little noise. However, using only the dominant glints potentially comes at a cost. Depending on the flutter rate of the insect, a limited number of dominant glints will be present in each echo giving the bat a limited number of sample points on which to base localization. We evaluate the feasibility of a strategy under which Rhinolophidae use only dominant glints. We use a computational model of the echolocation task faced by Rhinolophidae. Our model includes the spatial filtering of the echoes by the morphology of the sonar apparatus of Rhinolophus rouxii as well as the amplitude modulations introduced by pinnae movements. Using this model, we evaluate whether the dominant glints provide Rhinolophidae with enough information to perform localization. Our simulations show that Rhinolophidae can use dominant glints in the echoes as carriers for self-induced amplitude modulations serving as localization cues. In particular, it is shown that the reduction in noise achieved by using only the dominant glints outweighs the information loss that occurs by sampling the echo. © 2011 Vanderelst et al.

  4. Dominant glint based prey localization in horseshoe bats: a possible strategy for noise rejection.

    Directory of Open Access Journals (Sweden)

    Dieter Vanderelst

    2011-12-01

    Full Text Available Rhinolophidae or Horseshoe bats emit long and narrowband calls. Fluttering insect prey generates echoes in which amplitude and frequency shifts are present, i.e. glints. These glints are reliable cues about the presence of prey and also encode certain properties of the prey. In this paper, we propose that these glints, i.e. the dominant glints, are also reliable signals upon which to base prey localization. In contrast to the spectral cues used by many other bats, the localization cues in Rhinolophidae are most likely provided by self-induced amplitude modulations generated by pinnae movement. Amplitude variations in the echo not introduced by the moving pinnae can be considered as noise interfering with the localization process. The amplitude of the dominant glints is very stable. Therefore, these parts of the echoes contain very little noise. However, using only the dominant glints potentially comes at a cost. Depending on the flutter rate of the insect, a limited number of dominant glints will be present in each echo giving the bat a limited number of sample points on which to base localization. We evaluate the feasibility of a strategy under which Rhinolophidae use only dominant glints. We use a computational model of the echolocation task faced by Rhinolophidae. Our model includes the spatial filtering of the echoes by the morphology of the sonar apparatus of Rhinolophus rouxii as well as the amplitude modulations introduced by pinnae movements. Using this model, we evaluate whether the dominant glints provide Rhinolophidae with enough information to perform localization. Our simulations show that Rhinolophidae can use dominant glints in the echoes as carriers for self-induced amplitude modulations serving as localization cues. In particular, it is shown that the reduction in noise achieved by using only the dominant glints outweighs the information loss that occurs by sampling the echo.

  5. Local sustained delivery of bupivacaine HCl from a new castor oil-based nanoemulsion system.

    Science.gov (United States)

    Rachmawati, Heni; Arvin, Yang Aryani; Asyarie, Sukmadjaja; Anggadiredja, Kusnandar; Tjandrawinata, Raymond Rubianto; Storm, Gert

    2018-06-01

    Bupivacaine HCl (1-butyl-2',6'-pipecoloxylidide hydrochloride), an amide local anesthetic compound, is a local anesthetic drug utilized for intraoperative local anesthesia, post-operative analgesia and in the treatment of chronic pain. However, its utility is limited by the relative short duration of analgesia after local administration (approximately 9 h after direct injection) and risk for side effects. This work is aimed to develop a nanoemulsion of bupivacaine HCl with sustained local anesthetics release kinetics for improved pain management, by exhibiting extended analgesic action and providing reduced peak levels in the circulation to minimize side effects. Herein, biodegradable oils were evaluated for use in nanoemulsions to enable sustained release kinetics of bupivacaine HCl. Only with castor oil, a clear and stable nanoemulsion was obtained without the occurrence of phase separation over a period of 3 months. High loading of bupivacaine HCl into the castor oil-based nanoemulsion system was achieved with about 98% entrapment efficiency and the resulting formulation showed high stability under stress conditions (accelerated stability test) regarding changes in visual appearance, drug content, and droplet size. We show herein that the in vitro release and in vivo pharmacokinetic profiles as well as pharmacodynamic outcome (pain relief test) after subcutaneous administration in rats correlate well and clearly demonstrate the prolonged release and extended duration of activity of our novel nanoformulation. In addition, the lower C max value achieved in the blood compartment suggests the possibility that the risk for systemic side effects is reduced. We conclude that castor oil-based nanomulsion represents an attractive pain treatment possibility to achieve prolonged local action of bupivacaine HCl.

  6. Keyframes Global Map Establishing Method for Robot Localization through Content-Based Image Matching

    Directory of Open Access Journals (Sweden)

    Tianyang Cao

    2017-01-01

    Full Text Available Self-localization and mapping are important for indoor mobile robot. We report a robust algorithm for map building and subsequent localization especially suited for indoor floor-cleaning robots. Common methods, for example, SLAM, can easily be kidnapped by colliding or disturbed by similar objects. Therefore, keyframes global map establishing method for robot localization in multiple rooms and corridors is needed. Content-based image matching is the core of this method. It is designed for the situation, by establishing keyframes containing both floor and distorted wall images. Image distortion, caused by robot view angle and movement, is analyzed and deduced. And an image matching solution is presented, consisting of extraction of overlap regions of keyframes extraction and overlap region rebuild through subblocks matching. For improving accuracy, ceiling points detecting and mismatching subblocks checking methods are incorporated. This matching method can process environment video effectively. In experiments, less than 5% frames are extracted as keyframes to build global map, which have large space distance and overlap each other. Through this method, robot can localize itself by matching its real-time vision frames with our keyframes map. Even with many similar objects/background in the environment or kidnapping robot, robot localization is achieved with position RMSE <0.5 m.

  7. A multimodal wave spectrum-based approach for statistical downscaling of local wave climate

    Science.gov (United States)

    Hegermiller, Christie; Antolinez, Jose A A; Rueda, Ana C.; Camus, Paula; Perez, Jorge; Erikson, Li; Barnard, Patrick; Mendez, Fernando J.

    2017-01-01

    Characterization of wave climate by bulk wave parameters is insufficient for many coastal studies, including those focused on assessing coastal hazards and long-term wave climate influences on coastal evolution. This issue is particularly relevant for studies using statistical downscaling of atmospheric fields to local wave conditions, which are often multimodal in large ocean basins (e.g. the Pacific). Swell may be generated in vastly different wave generation regions, yielding complex wave spectra that are inadequately represented by a single set of bulk wave parameters. Furthermore, the relationship between atmospheric systems and local wave conditions is complicated by variations in arrival time of wave groups from different parts of the basin. Here, we address these two challenges by improving upon the spatiotemporal definition of the atmospheric predictor used in statistical downscaling of local wave climate. The improved methodology separates the local wave spectrum into “wave families,” defined by spectral peaks and discrete generation regions, and relates atmospheric conditions in distant regions of the ocean basin to local wave conditions by incorporating travel times computed from effective energy flux across the ocean basin. When applied to locations with multimodal wave spectra, including Southern California and Trujillo, Peru, the new methodology improves the ability of the statistical model to project significant wave height, peak period, and direction for each wave family, retaining more information from the full wave spectrum. This work is the base of statistical downscaling by weather types, which has recently been applied to coastal flooding and morphodynamic applications.

  8. Impact Localization Method for Composite Plate Based on Low Sampling Rate Embedded Fiber Bragg Grating Sensors

    Directory of Open Access Journals (Sweden)

    Zhuo Pang

    2017-01-01

    Full Text Available Fiber Bragg Grating (FBG sensors have been increasingly used in the field of Structural Health Monitoring (SHM in recent years. In this paper, we proposed an impact localization algorithm based on the Empirical Mode Decomposition (EMD and Particle Swarm Optimization-Support Vector Machine (PSO-SVM to achieve better localization accuracy for the FBG-embedded plate. In our method, EMD is used to extract the features of FBG signals, and PSO-SVM is then applied to automatically train a classification model for the impact localization. Meanwhile, an impact monitoring system for the FBG-embedded composites has been established to actually validate our algorithm. Moreover, the relationship between the localization accuracy and the distance from impact to the nearest sensor has also been studied. Results suggest that the localization accuracy keeps increasing and is satisfactory, ranging from 93.89% to 97.14%, on our experimental conditions with the decrease of the distance. This article reports an effective and easy-implementing method for FBG signal processing on SHM systems of the composites.

  9. Active load reduction using individual pitch, based on local blade flow measurements

    DEFF Research Database (Denmark)

    Larsen, Torben J.; Aagaard Madsen, H.; Thomsen, K.

    2005-01-01

    -of-the-art load-reducing concepts. Since the new flow-based concept deviates significantly from previous published load-reducing strategies, a comparison of the performance based on aeroelastic simulations is included. Advantages and drawbacks of the systems are discussed. Copyright (C) 2004 John Wiley Sons, Ltd.......A new load-reducing control strategy for individual blade control of large pitch-controlled wind turbines is presented This control concept is based on local blade inflow measurements and offers the possibility of larger load reductions, without loss of power production, than seen in other state...

  10. Single Image Super-Resolution Using Global Regression Based on Multiple Local Linear Mappings.

    Science.gov (United States)

    Choi, Jae-Seok; Kim, Munchurl

    2017-03-01

    Super-resolution (SR) has become more vital, because of its capability to generate high-quality ultra-high definition (UHD) high-resolution (HR) images from low-resolution (LR) input images. Conventional SR methods entail high computational complexity, which makes them difficult to be implemented for up-scaling of full-high-definition input images into UHD-resolution images. Nevertheless, our previous super-interpolation (SI) method showed a good compromise between Peak-Signal-to-Noise Ratio (PSNR) performances and computational complexity. However, since SI only utilizes simple linear mappings, it may fail to precisely reconstruct HR patches with complex texture. In this paper, we present a novel SR method, which inherits the large-to-small patch conversion scheme from SI but uses global regression based on local linear mappings (GLM). Thus, our new SR method is called GLM-SI. In GLM-SI, each LR input patch is divided into 25 overlapped subpatches. Next, based on the local properties of these subpatches, 25 different local linear mappings are applied to the current LR input patch to generate 25 HR patch candidates, which are then regressed into one final HR patch using a global regressor. The local linear mappings are learned cluster-wise in our off-line training phase. The main contribution of this paper is as follows: Previously, linear-mapping-based conventional SR methods, including SI only used one simple yet coarse linear mapping to each patch to reconstruct its HR version. On the contrary, for each LR input patch, our GLM-SI is the first to apply a combination of multiple local linear mappings, where each local linear mapping is found according to local properties of the current LR patch. Therefore, it can better approximate nonlinear LR-to-HR mappings for HR patches with complex texture. Experiment results show that the proposed GLM-SI method outperforms most of the state-of-the-art methods, and shows comparable PSNR performance with much lower

  11. Effectiveness of Abstinence-Based Sex Education Curricula: A Review.

    Science.gov (United States)

    Toups, Melanie L.; Holmes, William R.

    2002-01-01

    Many attempts have been made to address the problem of teenage premarital sexual activity in order to reduce the number of pregnancies and sexually transmitted diseases. The authors review some of those efforts and attempt to identify effective approaches. Implications for research are also presented. (Author)

  12. Generating clustered scale-free networks using Poisson based localization of edges

    Science.gov (United States)

    Türker, İlker

    2018-05-01

    We introduce a variety of network models using a Poisson-based edge localization strategy, which result in clustered scale-free topologies. We first verify the success of our localization strategy by realizing a variant of the well-known Watts-Strogatz model with an inverse approach, implying a small-world regime of rewiring from a random network through a regular one. We then apply the rewiring strategy to a pure Barabasi-Albert model and successfully achieve a small-world regime, with a limited capacity of scale-free property. To imitate the high clustering property of scale-free networks with higher accuracy, we adapted the Poisson-based wiring strategy to a growing network with the ingredients of both preferential attachment and local connectivity. To achieve the collocation of these properties, we used a routine of flattening the edges array, sorting it, and applying a mixing procedure to assemble both global connections with preferential attachment and local clusters. As a result, we achieved clustered scale-free networks with a computational fashion, diverging from the recent studies by following a simple but efficient approach.

  13. Particle swarm optimization-based local entropy weighted histogram equalization for infrared image enhancement

    Science.gov (United States)

    Wan, Minjie; Gu, Guohua; Qian, Weixian; Ren, Kan; Chen, Qian; Maldague, Xavier

    2018-06-01

    Infrared image enhancement plays a significant role in intelligent urban surveillance systems for smart city applications. Unlike existing methods only exaggerating the global contrast, we propose a particle swam optimization-based local entropy weighted histogram equalization which involves the enhancement of both local details and fore-and background contrast. First of all, a novel local entropy weighted histogram depicting the distribution of detail information is calculated based on a modified hyperbolic tangent function. Then, the histogram is divided into two parts via a threshold maximizing the inter-class variance in order to improve the contrasts of foreground and background, respectively. To avoid over-enhancement and noise amplification, double plateau thresholds of the presented histogram are formulated by means of particle swarm optimization algorithm. Lastly, each sub-image is equalized independently according to the constrained sub-local entropy weighted histogram. Comparative experiments implemented on real infrared images prove that our algorithm outperforms other state-of-the-art methods in terms of both visual and quantized evaluations.

  14. Non-local effect in Brillouin optical time-domain analyzer based on Raman amplification

    International Nuclear Information System (INIS)

    Jia Xinhong; Rao Yunjiang; Wang Zinan; Zhang Weili; Ran Zengling; Deng Kun; Yang Zixin

    2012-01-01

    Compared with conventional Brillouin optical time-domain analyzer (BOTDA), the BOTDA based on Raman amplification allows longer sensing range, higher signal-to-noise ratio and higher measurement accuracy. However, the non-local effect induced by pump depletion significantly restricts the probe optical power injected to sensing fiber, thereby limiting the further extension for sensing distance. In this paper, the coupled equations including the interaction of probe light, Brillouin and Raman pumps are applied to the study on the non-local characteristics of BOTDA based on Raman amplification. The results show that, the system error induced by non-local effect worsens with increased powers of probe wave and Raman pump. The frequency-division-multiplexing (cascading the fibers with various Brillouin frequency shifts) and time-division-multiplexing (modulating both of the Brillouin pump and probe lights) technologies are efficient approaches to suppress the non-local effect, through shortening the effective interaction range between Brillouin pump and probe lights. (authors)

  15. Web-based hybrid-dimensional Visualization and Exploration of Cytological Localization Scenarios

    Directory of Open Access Journals (Sweden)

    Kovanci Gökhan

    2016-10-01

    Full Text Available The CELLmicrocosmos 4.2 PathwayIntegration (CmPI is a tool which provides hybriddimensional visualization and analysis of intracellular protein and gene localizations in the context of a virtual 3D environment. This tool is developed based on Java/Java3D/JOGL and provides a standalone application compatible to all relevant operating systems. However, it requires Java and the local installation of the software. Here we present the prototype of an alternative web-based visualization approach, using Three.js and D3.js. In this way it is possible to visualize and explore CmPI-generated localization scenarios including networks mapped to 3D cell components by just providing a URL to a collaboration partner. This publication describes the integration of the different technologies - Three.js, D3.js and PHP - as well as an application case: a localization scenario of the citrate cycle. The CmPI web viewer is available at: http://CmPIweb.CELLmicrocosmos.org.

  16. A Parzen window-based approach for the detection of locally enriched transcription factor binding sites.

    Science.gov (United States)

    Vandenbon, Alexis; Kumagai, Yutaro; Teraguchi, Shunsuke; Amada, Karlou Mar; Akira, Shizuo; Standley, Daron M

    2013-01-21

    Identification of cis- and trans-acting factors regulating gene expression remains an important problem in biology. Bioinformatics analyses of regulatory regions are hampered by several difficulties. One is that binding sites for regulatory proteins are often not significantly over-represented in the set of DNA sequences of interest, because of high levels of false positive predictions, and because of positional restrictions on functional binding sites with regard to the transcription start site. We have developed a novel method for the detection of regulatory motifs based on their local over-representation in sets of regulatory regions. The method makes use of a Parzen window-based approach for scoring local enrichment, and during evaluation of significance it takes into account GC content of sequences. We show that the accuracy of our method compares favourably to that of other methods, and that our method is capable of detecting not only generally over-represented regulatory motifs, but also locally over-represented motifs that are often missed by standard motif detection approaches. Using a number of examples we illustrate the validity of our approach and suggest applications, such as the analysis of weaker binding sites. Our approach can be used to suggest testable hypotheses for wet-lab experiments. It has potential for future analyses, such as the prediction of weaker binding sites. An online application of our approach, called LocaMo Finder (Local Motif Finder), is available at http://sysimm.ifrec.osaka-u.ac.jp/tfbs/locamo/.

  17. Accuracy improvement in the TDR-based localization of water leaks

    Directory of Open Access Journals (Sweden)

    Andrea Cataldo

    Full Text Available A time domain reflectometry (TDR-based system for the localization of water leaks has been recently developed by the authors. This system, which employs wire-like sensing elements to be installed along the underground pipes, has proven immune to the limitations that affect the traditional, acoustic leak-detection systems.Starting from the positive results obtained thus far, in this work, an improvement of this TDR-based system is proposed. More specifically, the possibility of employing a low-cost, water-absorbing sponge to be placed around the sensing element for enhancing the accuracy in the localization of the leak is addressed.To this purpose, laboratory experiments were carried out mimicking a water leakage condition, and two sensing elements (one embedded in a sponge and one without sponge were comparatively used to identify the position of the leak through TDR measurements. Results showed that, thanks to the water retention capability of the sponge (which maintains the leaked water more localized, the sensing element embedded in the sponge leads to a higher accuracy in the evaluation of the position of the leak. Keywords: Leak localization, TDR, Time domain reflectometry, Water leaks, Underground water pipes

  18. Localization Algorithm Based on a Spring Model (LASM for Large Scale Wireless Sensor Networks

    Directory of Open Access Journals (Sweden)

    Shuai Li

    2008-03-01

    Full Text Available A navigation method for a lunar rover based on large scale wireless sensornetworks is proposed. To obtain high navigation accuracy and large exploration area, highnode localization accuracy and large network scale are required. However, thecomputational and communication complexity and time consumption are greatly increasedwith the increase of the network scales. A localization algorithm based on a spring model(LASM method is proposed to reduce the computational complexity, while maintainingthe localization accuracy in large scale sensor networks. The algorithm simulates thedynamics of physical spring system to estimate the positions of nodes. The sensor nodesare set as particles with masses and connected with neighbor nodes by virtual springs. Thevirtual springs will force the particles move to the original positions, the node positionscorrespondingly, from the randomly set positions. Therefore, a blind node position can bedetermined from the LASM algorithm by calculating the related forces with the neighbornodes. The computational and communication complexity are O(1 for each node, since thenumber of the neighbor nodes does not increase proportionally with the network scale size.Three patches are proposed to avoid local optimization, kick out bad nodes and deal withnode variation. Simulation results show that the computational and communicationcomplexity are almost constant despite of the increase of the network scale size. The time consumption has also been proven to remain almost constant since the calculation steps arealmost unrelated with the network scale size.

  19. A Self-Organizing Incremental Neural Network based on local distribution learning.

    Science.gov (United States)

    Xing, Youlu; Shi, Xiaofeng; Shen, Furao; Zhou, Ke; Zhao, Jinxi

    2016-12-01

    In this paper, we propose an unsupervised incremental learning neural network based on local distribution learning, which is called Local Distribution Self-Organizing Incremental Neural Network (LD-SOINN). The LD-SOINN combines the advantages of incremental learning and matrix learning. It can automatically discover suitable nodes to fit the learning data in an incremental way without a priori knowledge such as the structure of the network. The nodes of the network store rich local information regarding the learning data. The adaptive vigilance parameter guarantees that LD-SOINN is able to add new nodes for new knowledge automatically and the number of nodes will not grow unlimitedly. While the learning process continues, nodes that are close to each other and have similar principal components are merged to obtain a concise local representation, which we call a relaxation data representation. A denoising process based on density is designed to reduce the influence of noise. Experiments show that the LD-SOINN performs well on both artificial and real-word data. Copyright © 2016 Elsevier Ltd. All rights reserved.

  20. Blind RSSD-Based Indoor Localization with Confidence Calibration and Energy Control

    Directory of Open Access Journals (Sweden)

    Tengyue Zou

    2016-05-01

    Full Text Available Indoor localization based on wireless sensor networks (WSNs is an important field of research with numerous applications, such as elderly care, miner security, and smart buildings. In this paper, we present a localization method based on the received signal strength difference (RSSD to determine a target on a map with unknown transmission information. To increase the accuracy of localization, we propose a confidence value for each anchor node to indicate its credibility for participating in the estimation. An automatic calibration device is designed to help acquire the values. The acceleration sensor and unscented Kalman filter (UKF are also introduced to reduce the influence of measuring noise in the application. Energy control is another key point in WSN systems and may prolong the lifetime of the system. Thus, a quadtree structure is constructed to describe the region correlation between neighboring areas, and the unnecessary anchor nodes can be detected and set to sleep to save energy. The localization system is implemented on real-time Texas Instruments CC2430 and CC2431 embedded platforms, and the experimental results indicate that these mechanisms achieve a high accuracy and low energy cost.

  1. Facial expression recognition under partial occlusion based on fusion of global and local features

    Science.gov (United States)

    Wang, Xiaohua; Xia, Chen; Hu, Min; Ren, Fuji

    2018-04-01

    Facial expression recognition under partial occlusion is a challenging research. This paper proposes a novel framework for facial expression recognition under occlusion by fusing the global and local features. In global aspect, first, information entropy are employed to locate the occluded region. Second, principal Component Analysis (PCA) method is adopted to reconstruct the occlusion region of image. After that, a replace strategy is applied to reconstruct image by replacing the occluded region with the corresponding region of the best matched image in training set, Pyramid Weber Local Descriptor (PWLD) feature is then extracted. At last, the outputs of SVM are fitted to the probabilities of the target class by using sigmoid function. For the local aspect, an overlapping block-based method is adopted to extract WLD features, and each block is weighted adaptively by information entropy, Chi-square distance and similar block summation methods are then applied to obtain the probabilities which emotion belongs to. Finally, fusion at the decision level is employed for the data fusion of the global and local features based on Dempster-Shafer theory of evidence. Experimental results on the Cohn-Kanade and JAFFE databases demonstrate the effectiveness and fault tolerance of this method.

  2. Integrating interactive computational modeling in biology curricula.

    Directory of Open Access Journals (Sweden)

    Tomáš Helikar

    2015-03-01

    Full Text Available While the use of computer tools to simulate complex processes such as computer circuits is normal practice in fields like engineering, the majority of life sciences/biological sciences courses continue to rely on the traditional textbook and memorization approach. To address this issue, we explored the use of the Cell Collective platform as a novel, interactive, and evolving pedagogical tool to foster student engagement, creativity, and higher-level thinking. Cell Collective is a Web-based platform used to create and simulate dynamical models of various biological processes. Students can create models of cells, diseases, or pathways themselves or explore existing models. This technology was implemented in both undergraduate and graduate courses as a pilot study to determine the feasibility of such software at the university level. First, a new (In Silico Biology class was developed to enable students to learn biology by "building and breaking it" via computer models and their simulations. This class and technology also provide a non-intimidating way to incorporate mathematical and computational concepts into a class with students who have a limited mathematical background. Second, we used the technology to mediate the use of simulations and modeling modules as a learning tool for traditional biological concepts, such as T cell differentiation or cell cycle regulation, in existing biology courses. Results of this pilot application suggest that there is promise in the use of computational modeling and software tools such as Cell Collective to provide new teaching methods in biology and contribute to the implementation of the "Vision and Change" call to action in undergraduate biology education by providing a hands-on approach to biology.

  3. Integrating interactive computational modeling in biology curricula.

    Science.gov (United States)

    Helikar, Tomáš; Cutucache, Christine E; Dahlquist, Lauren M; Herek, Tyler A; Larson, Joshua J; Rogers, Jim A

    2015-03-01

    While the use of computer tools to simulate complex processes such as computer circuits is normal practice in fields like engineering, the majority of life sciences/biological sciences courses continue to rely on the traditional textbook and memorization approach. To address this issue, we explored the use of the Cell Collective platform as a novel, interactive, and evolving pedagogical tool to foster student engagement, creativity, and higher-level thinking. Cell Collective is a Web-based platform used to create and simulate dynamical models of various biological processes. Students can create models of cells, diseases, or pathways themselves or explore existing models. This technology was implemented in both undergraduate and graduate courses as a pilot study to determine the feasibility of such software at the university level. First, a new (In Silico Biology) class was developed to enable students to learn biology by "building and breaking it" via computer models and their simulations. This class and technology also provide a non-intimidating way to incorporate mathematical and computational concepts into a class with students who have a limited mathematical background. Second, we used the technology to mediate the use of simulations and modeling modules as a learning tool for traditional biological concepts, such as T cell differentiation or cell cycle regulation, in existing biology courses. Results of this pilot application suggest that there is promise in the use of computational modeling and software tools such as Cell Collective to provide new teaching methods in biology and contribute to the implementation of the "Vision and Change" call to action in undergraduate biology education by providing a hands-on approach to biology.

  4. Spatial planning via extremal optimization enhanced by cell-based local search

    International Nuclear Information System (INIS)

    Sidiropoulos, Epaminondas

    2014-01-01

    A new treatment is presented for land use planning problems by means of extremal optimization in conjunction to cell-based neighborhood local search. Extremal optimization, inspired by self-organized critical models of evolution has been applied mainly to the solution of classical combinatorial optimization problems. Cell-based local search has been employed by the author elsewhere in problems of spatial resource allocation in combination with genetic algorithms and simulated annealing. In this paper it complements extremal optimization in order to enhance its capacity for a spatial optimization problem. The hybrid method thus formed is compared to methods of the literature on a specific characteristic problem. It yields better results both in terms of objective function values and in terms of compactness. The latter is an important quantity for spatial planning. The present treatment yields significant compactness values as emergent results

  5. Locality-preserving sparse representation-based classification in hyperspectral imagery

    Science.gov (United States)

    Gao, Lianru; Yu, Haoyang; Zhang, Bing; Li, Qingting

    2016-10-01

    This paper proposes to combine locality-preserving projections (LPP) and sparse representation (SR) for hyperspectral image classification. The LPP is first used to reduce the dimensionality of all the training and testing data by finding the optimal linear approximations to the eigenfunctions of the Laplace Beltrami operator on the manifold, where the high-dimensional data lies. Then, SR codes the projected testing pixels as sparse linear combinations of all the training samples to classify the testing pixels by evaluating which class leads to the minimum approximation error. The integration of LPP and SR represents an innovative contribution to the literature. The proposed approach, called locality-preserving SR-based classification, addresses the imbalance between high dimensionality of hyperspectral data and the limited number of training samples. Experimental results on three real hyperspectral data sets demonstrate that the proposed approach outperforms the original counterpart, i.e., SR-based classification.

  6. A note on eigenfrequency sensitivities and structural eigenfrequency optimization based on local sub-domain frequencies

    DEFF Research Database (Denmark)

    Pedersen, Pauli; Pedersen, Niels Leergaard

    2014-01-01

    foundation. A numerical heuristic redesign procedure is proposed and illustrated with examples. For the ideal case, an optimality criterion is fulfilled if the design have the same sub-domain frequency (local Rayleigh quotient). Sensitivity analysis shows an important relation between squared system...... eigenfrequency and squared local sub-domain frequency for a given eigenmode. Higher order eigenfrequenciesmay also be controlled in this manner. The presented examples are based on 2D finite element models with the use of subspace iteration for analysis and a heuristic recursive design procedure based...... on the derived optimality condition. The design that maximize a frequency depend on the total amount of available material and on a necessary interpolation as illustrated by different design cases.In this note we have assumed a linear and conservative eigenvalue problem without multiple eigenvalues. The presence...

  7. Evaluation of secure capability-based access control in the M2M local cloud platform

    DEFF Research Database (Denmark)

    Anggorojati, Bayu; Prasad, Neeli R.; Prasad, Ramjee

    2016-01-01

    delegation. Recently, the capability based access control has been considered as method to manage access in the Internet of Things (IoT) or M2M domain. In this paper, the implementation and evaluation of a proposed secure capability based access control in the M2M local cloud platform is presented......Managing access to and protecting resources is one of the important aspect in managing security, especially in a distributed computing system such as Machine-to-Machine (M2M). One such platform known as the M2M local cloud platform, referring to BETaaS architecture [1], which conceptually consists...... of multiple distributed M2M gateways, creating new challenges in the access control. Some existing access control systems lack in scalability and flexibility to manage access from users or entity that belong to different authorization domains, or fails to provide fine grained and flexible access right...

  8. Atomistic simulation of processes in Ni-base alloys with account for local relaxations

    International Nuclear Information System (INIS)

    Bursik, Jiri

    2007-01-01

    Ordering in Ni-base superalloys is the crucial process controlling the development of the characteristic two-phase microstructure and subsequently the mechanical properties. Systems containing up to six alloying elements typical of advanced Ni-based superalloys are modelled in this work using a Monte Carlo approach with phenomenological Lennard-Jones pair potentials and interactions up to the third coordination sphere. Three-dimensional crystal block is used with over 10 5 atoms. Molecular dynamics approach is used to relax local atomic positions in course of ordering processes under applied stress. The importance of taking into account both relaxation of modelled block dimensions and relaxation of local atomic positions is discussed

  9. Localizing Play-Based Pedagogy: Nigerian Educators’ Appropriation of Sesame Classroom Materials

    Directory of Open Access Journals (Sweden)

    Naomi A. Moland

    2017-09-01

    Full Text Available This article examines how international organizations promote play-based pedagogical approaches in early childhood settings around the world, and how local educators respond. As a case study, I investigated Sesame Workshop’s efforts to introduce play-based approaches in Nigerian classrooms. In addition to producing a Nigerian version of Sesame Street (called Sesame Square, Sesame Workshop trains educators in play-based approaches and has distributed alphabet flashcards, puppet kits, and storytelling games to more than 2,700 early childhood classrooms across Nigeria. These materials were intended to support Sesame Square’s messages, and to foster interactive, child-centered learning experiences. However, teachers often used the materials in ways that reflected more rote-based, teacher centered approaches. Data was gathered through observations and interviews in 27 educational sites across Nigeria that use Sesame materials. Findings reveal that teachers’ resistance to play-based approaches was sometimes for structural reasons (e.g., large class sizes, and sometimes related to their knowledge and training (e.g., they were accustomed to drilling the alphabet. I argue that ideals about constructivist, play-based learning are being disseminated by international organizations—alongside contrasting formalistic pedagogical approaches—and that all approaches will shift as they are localized. I question if approaches that are considered universally developmentally appropriate are relevant in all settings, and explore how early childhood educators adapt global pedagogical trends to make sense in their classrooms. I call for international organizations to explore context-appropriate play-based approaches that develop educators’ capacities to help all children thrive, while also incorporating local cultural beliefs about childhood and teaching. 

  10. The hidden and implicit curricula in cultural context: new insights from Doha and New York.

    Science.gov (United States)

    Fins, Joseph J; Rodríguez del Pozo, Pablo

    2011-03-01

    The authors report their longitudinal experience teaching a clerkship in clinical ethics and palliative care at the Weill Cornell Medical College campuses in New York and Doha. This course uses participant observation and reflective practice to counteract the hidden curriculum when learning about clinical ethics and end-of-life care. The authors consider how this formal element of the curriculum is influenced by the implicit and hidden curricula in different cultural contexts and how these differing venues affect communication and information exchange, using the anthropological concept of high- and low-context societies. The authors' analysis provides additional information on Weill Cornell's educational efforts in the medical humanities, bioethics, and palliative care across the curriculum and across cultural settings. By contrasting high-context Doha, where much information is culturally embedded and seemingly hidden, with low-context New York, where information is made overt, the authors theorize that in each setting, the proportion of implicit and explicit curricular elements is determined by the extramural cultural environment. They argue that there are many hidden and implicit curricula and that each is dependent on modes of communication in any given setting. They assert that these variations can be seen not only across differing societies but also, for example, among individual U.S. medical schools because of local custom, history, or mission. Because these contextual factors influence the relative importance of what is implicit and explicit in the student's educational experience, medical educators need to be aware of their local cultural contexts in order to engage in effective pedagogy.

  11. Towards Strengths-Based Planning Strategies for Rural Localities in Finland

    Directory of Open Access Journals (Sweden)

    Rönkkö Emilia

    2017-09-01

    Full Text Available In this article, we will introduce the topic of strengths-based planning strategies for rural localities in Finland. The strengths-based approach focuses on capacity building and competence enhancement with the local people, encouraging communities to valorise, identify and mobilise existing but often unrecognised assets. Setting focus only on the deficiencies and problems easily inflicts a ‘surrender mentality‘ in places outside of the urbanisation impact, creating a narrative that both decision-makers and community members start to believe. Hence, the role and potential of smaller rural localities is easily forgotten by planners, politicians and the public at large. Addressing the scale of rural localities in spatial planning, we will first reflect upon the main findings from our earlier research project “Finnish rural localities in the 2010`s” conducted by Lahti University of Applied Sciences, the University of Oulu and Aalto University in 2013-2015. Findings from the research project affirmed the unfortunate consequences of rapid urbanisation, rational blueprint planning and overoptimistic expectations of growth in the 1960s and 70s, which have resulted in the state of permanent incompleteness in rural localities today. However, these localities possess many under-utilised strengths, and we consider it essential for the future development of rural localities to make the most of this potential, and not only tackle the downwards spiral. This requires the ability to engage local stakeholders around a common vision for the future, and strategic approach based on endogenous strengths. We will discuss these possibilities via two theoretically informed case studies. The first one, Vieremä, is situated in the region of Northern Savo, and the other one, Vääksy, is the main centre in the municipality of Asikkala, situated in the region of Päijät-Häme in Southern Finland. Our study design can be characterised as qualitative research

  12. Error analysis of marker-based object localization using a single-plane XRII

    International Nuclear Information System (INIS)

    Habets, Damiaan F.; Pollmann, Steven I.; Yuan, Xunhua; Peters, Terry M.; Holdsworth, David W.

    2009-01-01

    The role of imaging and image guidance is increasing in surgery and therapy, including treatment planning and follow-up. Fluoroscopy is used for two-dimensional (2D) guidance or localization; however, many procedures would benefit from three-dimensional (3D) guidance or localization. Three-dimensional computed tomography (CT) using a C-arm mounted x-ray image intensifier (XRII) can provide high-quality 3D images; however, patient dose and the required acquisition time restrict the number of 3D images that can be obtained. C-arm based 3D CT is therefore limited in applications for x-ray based image guidance or dynamic evaluations. 2D-3D model-based registration, using a single-plane 2D digital radiographic system, does allow for rapid 3D localization. It is our goal to investigate - over a clinically practical range - the impact of x-ray exposure on the resulting range of 3D localization precision. In this paper it is assumed that the tracked instrument incorporates a rigidly attached 3D object with a known configuration of markers. A 2D image is obtained by a digital fluoroscopic x-ray system and corrected for XRII distortions (±0.035 mm) and mechanical C-arm shift (±0.080 mm). A least-square projection-Procrustes analysis is then used to calculate the 3D position using the measured 2D marker locations. The effect of x-ray exposure on the precision of 2D marker localization and on 3D object localization was investigated using numerical simulations and x-ray experiments. The results show a nearly linear relationship between 2D marker localization precision and the 3D localization precision. However, a significant amplification of error, nonuniformly distributed among the three major axes, occurs, and that is demonstrated. To obtain a 3D localization error of less than ±1.0 mm for an object with 20 mm marker spacing, the 2D localization precision must be better than ±0.07 mm. This requirement was met for all investigated nominal x-ray exposures at 28 cm FOV, and

  13. Graph-Based Semi-Supervised Learning for Indoor Localization Using Crowdsourced Data

    Directory of Open Access Journals (Sweden)

    Liye Zhang

    2017-04-01

    Full Text Available Indoor positioning based on the received signal strength (RSS of the WiFi signal has become the most popular solution for indoor localization. In order to realize the rapid deployment of indoor localization systems, solutions based on crowdsourcing have been proposed. However, compared to conventional methods, lots of different devices are used in crowdsourcing system and less RSS values are collected by each device. Therefore, the crowdsourced RSS values are more erroneous and can result in significant localization errors. In order to eliminate the signal strength variations across diverse devices, the Linear Regression (LR algorithm is proposed to solve the device diversity problem in crowdsourcing system. After obtaining the uniform RSS values, a graph-based semi-supervised learning (G-SSL method is used to exploit the correlation between the RSS values at nearby locations to estimate an optimal RSS value at each location. As a result, the negative effect of the erroneous measurements could be mitigated. Since the AP locations need to be known in G-SSL algorithm, the Compressed Sensing (CS method is applied to precisely estimate the location of the APs. Based on the location of the APs and a simple signal propagation model, the RSS difference between different locations is calculated and used as an additional constraint to improve the performance of G-SSL. Furthermore, to exploit the sparsity of the weights used in the G-SSL, we use the CS method to reconstruct these weights more accurately and make a further improvement on the performance of the G-SSL. Experimental results show improved results in terms of the smoothness of the radio map and the localization accuracy.

  14. Profile of Students' Creative Thinking Skills on Quantitative Project-Based Protein Testing using Local Materials

    Directory of Open Access Journals (Sweden)

    D. K. Sari

    2017-04-01

    Full Text Available The purpose of this study is to obtain a profile of students’ creative thinking skills on quantitative project-based protein testing using local materials. Implementation of the research is using quasi-experimental method pre-test post-test control group design with 40 students involved in Biochemistry lab. The research instrument is pre-test and post-test using creative thinking skills in the form of description and students’ questionnaire. The analysis was performed with SPSS 22.0 program to see the significance normality, U Mann-Whitney test for nonparametric statistics, N-Gain score, and the percentage of student responses to the practicum performed. The research result shows that the pretest rate in the experimental group is 8.25 while in the control group is 6.90. After attending a project-based practicum with local materials, the experimental group obtained the mean of posttest is 37.55 while in control class is 11.18. The students’ improvement on creative thinking skills can be seen from the average of N-Gain in the experimental class with 0.32 (medium category and in the control category with 0.05 (low category. The experimental and control class have different creative thinking skills significantly different fluency, flexibility, novelty, and detail. It can be concluded that quantitative project-based protein testing using local materials can improve students’ creative thinking skills. 71% of total students feel that quantitative project-based protein testing using local materials make them more creative in doing a practicum in the laboratory.

  15. A local effect model-based interpolation framework for experimental nanoparticle radiosensitisation data

    OpenAIRE

    Brown, Jeremy M. C.; Currell, Fred J.

    2017-01-01

    A local effect model (LEM)-based framework capable of interpolating nanoparticle-enhanced photon-irradiated clonogenic cell survival fraction measurements as a function of nanoparticle concentration was developed and experimentally benchmarked for gold nanoparticle (AuNP)-doped bovine aortic endothelial cells (BAECs) under superficial kilovoltage X-ray irradiation. For three different superficial kilovoltage X-ray spectra, the BAEC survival fraction response was predicted for two different Au...

  16. Indoor Localization of a Quadrotor Based on WSN: A Real-Time Application

    Directory of Open Access Journals (Sweden)

    Jose L. Rullan-Lara

    2013-01-01

    Full Text Available A real-time localization algorithm is presented in this paper. The algorithm presented here uses an extended Kalman filter and is based on Time Difference Of Arrivals (TDOA measurements of radio signal. The position and velocity of an Unmanned Aerial Vehicle (UAV are successfully estimated in closed-loop in real-time, both in hover and path following flights. Relatively small position errors obtained from the experiments prove the good performance of the proposed algorithm.

  17. Spatial Outlier Detection of CO2 Monitoring Data Based on Spatial Local Outlier Factor

    OpenAIRE

    Liu Xin; Zhang Shaoliang; Zheng Pulin

    2015-01-01

    Spatial local outlier factor (SLOF) algorithm was adopted in this study for spatial outlier detection because of the limitations of the traditional static threshold detection. Based on the spatial characteristics of CO2 monitoring data obtained in the carbon capture and storage (CCS) project, the K-Nearest Neighbour (KNN) graph was constructed using the latitude and longitude information of the monitoring points to identify the spatial neighbourhood of the monitoring points. Then ...

  18. Two-player quantum pseudotelepathy based on recent all-versus-nothing violations of local realism

    International Nuclear Information System (INIS)

    Cabello, Adan

    2006-01-01

    We introduce two two-player quantum pseudotelepathy games based on two recently proposed all-versus-nothing (AVN) proofs of Bell's theorem [A. Cabello, Phys. Rev. Lett. 95, 210401 (2005); Phys. Rev. A 72, 050101(R) (2005)]. These games prove that Broadbent and Methot's claim that these AVN proofs do not rule out local-hidden-variable theories in which it is possible to exchange unlimited information inside the same light cone (quant-ph/0511047) is incorrect

  19. Facial expression recognition based on improved local ternary pattern and stacked auto-encoder

    Science.gov (United States)

    Wu, Yao; Qiu, Weigen

    2017-08-01

    In order to enhance the robustness of facial expression recognition, we propose a method of facial expression recognition based on improved Local Ternary Pattern (LTP) combined with Stacked Auto-Encoder (SAE). This method uses the improved LTP extraction feature, and then uses the improved depth belief network as the detector and classifier to extract the LTP feature. The combination of LTP and improved deep belief network is realized in facial expression recognition. The recognition rate on CK+ databases has improved significantly.

  20. Does community-based conservation shape favorable attitudes among locals? an empirical study from nepal.

    Science.gov (United States)

    Mehta, J N; Heinen, J T

    2001-08-01

    Like many developing countries, Nepal has adopted a community-based conservation (CBC) approach in recent years to manage its protected areas mainly in response to poor park-people relations. Among other things, under this approach the government has created new "people-oriented" conservation areas, formed and devolved legal authority to grassroots-level institutions to manage local resources, fostered infrastructure development, promoted tourism, and provided income-generating trainings to local people. Of interest to policy-makers and resource managers in Nepal and worldwide is whether this approach to conservation leads to improved attitudes on the part of local people. It is also important to know if personal costs and benefits associated with various intervention programs, and socioeconomic and demographic characteristics influence these attitudes. We explore these questions by looking at the experiences in Annapurna and Makalu-Barun Conservation Areas, Nepal, which have largely adopted a CBC approach in policy formulation, planning, and management. The research was conducted during 1996 and 1997; the data collection methods included random household questionnaire surveys, informal interviews, and review of official records and published literature. The results indicated that the majority of local people held favorable attitudes toward these conservation areas. Logistic regression results revealed that participation in training, benefit from tourism, wildlife depredation issue, ethnicity, gender, and education level were the significant predictors of local attitudes in one or the other conservation area. We conclude that the CBC approach has potential to shape favorable local attitudes and that these attitudes will be mediated by some personal attributes.