1,647 research outputs found

    Continuous Autonomous UAV Inspection for FPSO vessels

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    This Master's thesis represents the preliminary design study and proposes the unmanned aerial vehicle (UAV) -based inspection framework, comprising several multirotors with automatic charging and deployment for 24/7 integrity inspection tasks. This project has three main topics. First one describes the operational environment and existing regulations that cover use of UAVs. It forms the basis for proposal of the relevant use-case scenarios. Third part comprises two chapters, where design of concept and framework is being based on the previous factors. It shows that before implementation of fully autonomous inspection system, there is a need to cover both regulatory and technical gaps. It can be explained by the fact that there does not exist any autonomous inspection system today. Thus, this project can be seen as a base for future development of the UAV-based inspection system, as it focuses on creation of a general framework

    2์ฐจ์› ๊ท ์ผ ์ปค๋ฒ„๋ฆฌ์ง€ ๊ฒฝ๋กœ ๊ณ„ํš์„ ์œ„ํ•œ ํšจ์œจ์  ์•Œ๊ณ ๋ฆฌ์ฆ˜

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ๊ณต๊ณผ๋Œ€ํ•™ ๊ธฐ๊ณ„๊ณตํ•™๋ถ€, 2020. 8. ๋ฐ•์ข…์šฐ.Coverage path planning (CPP) is widely used in numerous robotic applications. With progressively complex and extensive applications of CPP, automating the planning process has become increasingly important. This thesis proposes an efficient CPP algorithm based on a random sampling scheme for spray painting applications. We have improved on the conventional CPP algorithm by alternately iterating the path generation and node sampling steps. This method can reduce the computational time by reducing the number of sampled nodes. We also suggest a new distance metric called upstream distance to generate reasonable path following given vector field. This induces the path to be aligned with a desired direction. Additionally, one of the machine learning techniques, support vector regression (SVR) is utilized to identify the paint distribution model. This method accurately predict the paint distribution model as a function of the painting parameters. We demonstrate our algorithm on several types of analytic surfaces and compare the results with those of conventional methods. Experiments are conducted to assess the performance of our approach compared to the traditional method.๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” 2์ฐจ์› ํ‘œ๋ฉด์˜ ๊ท ์ผ ์ปค๋ฒ„๋ฆฌ์ง€ ๊ฒฝ๋กœ ๊ณ„ํš์„ ์„ค๋ช…ํ•˜๊ณ  ์ด๋ฅผ ํšจ์œจ์ ์œผ๋กœ ํ‘ธ๋Š” ์•Œ๊ณ ๋ฆฌ์ฆ˜์„ ์ œ์‹œํ•œ๋‹ค. ์šฐ๋ฆฌ๋Š” ๊ฒฝ๋กœ ๊ณ„ํš ๋ฌธ์ œ๋ฅผ ๋‘ ๊ฐœ์˜ ํ•˜์œ„ ๋ฌธ์ œ๋กœ ๋ถ„๋ฆฌํ•˜์—ฌ ๊ฐ๊ฐ ํ‘ธ๋Š” ๊ธฐ์กด์˜ ๋ฐฉ์‹์„ ๋ณด์™„ํ•˜์—ฌ ๋‘ ๊ฐœ์˜ ํ•˜์œ„๋ฌธ์ œ๋ฅผ ํ•œ ๋ฒˆ์— ํ’€๋ฉด์„œ ๊ณ„์‚ฐ์‹œ๊ฐ„์„ ์ค„์ด๋Š” ๋ฐฉ๋ฒ•์„ ์ œ์‹œํ•˜์˜€๋‹ค. ๋˜ํ•œ ๊ฒฝ์šฐ์— ๋”ฐ๋ผ ์ฃผ์–ด์ง„ ๋ฒกํ„ฐ ํ•„๋“œ์™€ ๋‚˜๋ž€ํ•œ ๋ฐฉํ–ฅ์œผ๋กœ ๊ฒฝ๋กœ๊ฐ€ ์ƒ์„ฑ๋  ํ•„์š”๊ฐ€ ์žˆ๋Š”๋ฐ ์ด๋ฅผ ์œ„ํ•ด ๊ฑฐ์Šค๋ฆ„ ๊ฑฐ๋ฆฌ(upstream distance)์˜ ๊ฐœ๋…์„ ์ œ์‹œํ•˜์˜€์œผ๋ฉฐ ์—ฌํ–‰ ์™ธํŒ์› ๋ฌธ์ œ(Traveling Salesman Problem)๋ฅผ ํ’€ ๋•Œ ์ด๋ฅผ ์ ์šฉํ•˜์˜€๋‹ค. ์šฐ๋ฆฌ๋Š” ์ฐจ๋Ÿ‰ ๋„์žฅ ์‘์šฉ๋ถ„์•ผ์— ๊ท ์ผ ์ปค๋ฒ„๋ฆฌ์ง€ ๊ฒฝ๋กœ ๊ณ„ํš๋ฒ•์„ ์ ์šฉํ•˜์˜€์œผ๋ฉฐ ๋„์žฅ ์‹œ์Šคํ…œ์„ ๊ณ ๋ คํ•˜์—ฌ ๊ท ์ผํ•œ ํŽ˜์ธํŠธ ๋‘๊ป˜๋ฅผ ๋ณด์žฅํ•˜๋Š” ๋ฐฉ๋ฒ•์„ ๊ฐ™์ด ์ œ์‹œํ•˜์˜€๋‹ค. ๋„ค ๊ฐ€์ง€ ํƒ€์ž…์˜ 2์ฐจ์› ๊ณก๋ฉด์— ๋Œ€ํ•ด ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ์ง„ํ–‰ํ•˜์˜€์œผ๋ฉฐ ๊ธฐ์กด์˜ ๋ฐฉ๋ฒ•์— ๋น„ํ•ด ๋” ์ ์€ ๊ณ„์‚ฐ์‹œ๊ฐ„์„ ์š”๊ตฌํ•˜๋ฉด์„œ๋„ ํ•ฉ๋ฆฌ์ ์ธ ์ˆ˜์ค€์˜ ํŽ˜์ธํŠธ ๊ท ์ผ๋„๋ฅผ ๋‹ฌ์„ฑํ•จ์„ ๊ฒ€์ฆํ•˜์˜€๋‹ค.1 Introduction 1 1.1 Related Work 3 1.2 Contribution of Our Work 7 1.3 Organization of This Thesis 8 2 Preliminary Background 9 2.1 Elementary Differential Geometry of Surfaces in R3 10 2.1.1 Representation of Surfaces 10 2.1.2 Normal Curvature 10 2.1.3 Shape Operator 12 2.2 Traveling Salesman Problem 15 2.2.1 Definition 15 2.2.2 Variations of the TSP 17 2.2.3 Approximation Algorithm for TSP 19 2.3 Path Planning on Vector Fields 20 2.3.1 Randomized Path Planning 20 2.3.2 Upstream Criterion 20 2.4 Support Vector Regression 21 2.4.1 Single-Output SVR 21 2.4.2 Dual Problem of SVR 23 2.4.3 Kernel for Nonlinear System 25 2.4.4 Multi-Output SVR 26 3 Methods 29 3.1 Efficient Coverage Path Planning on Vector Fields 29 3.1.1 Efficient Node Sampling 31 3.1.2 Divide and Conquer Strategy 32 3.1.3 Upstream Distance 34 3.2 Uniform Coverage Path Planning in Spray Painting Applications 35 3.2.1 Minimum Curvature Direction 35 3.2.2 Learning Paint Deposition Model 36 4 Results 38 4.1 Experimental Setup 38 4.2 Simulation Result 41 4.3 Discussion 41 5 Conclusion 45 Bibliography 47 ๊ตญ๋ฌธ์ดˆ๋ก 52Maste

    NASA SBIR abstracts of 1990 phase 1 projects

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    The research objectives of the 280 projects placed under contract in the National Aeronautics and Space Administration (NASA) 1990 Small Business Innovation Research (SBIR) Phase 1 program are described. The basic document consists of edited, non-proprietary abstracts of the winning proposals submitted by small businesses in response to NASA's 1990 SBIR Phase 1 Program Solicitation. The abstracts are presented under the 15 technical topics within which Phase 1 proposals were solicited. Each project was assigned a sequential identifying number from 001 to 280, in order of its appearance in the body of the report. The document also includes Appendixes to provide additional information about the SBIR program and permit cross-reference in the 1990 Phase 1 projects by company name, location by state, principal investigator, NASA field center responsible for management of each project, and NASA contract number

    NASA SBIR abstracts of 1991 phase 1 projects

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    The objectives of 301 projects placed under contract by the Small Business Innovation Research (SBIR) program of the National Aeronautics and Space Administration (NASA) are described. These projects were selected competitively from among proposals submitted to NASA in response to the 1991 SBIR Program Solicitation. The basic document consists of edited, non-proprietary abstracts of the winning proposals submitted by small businesses. The abstracts are presented under the 15 technical topics within which Phase 1 proposals were solicited. Each project was assigned a sequential identifying number from 001 to 301, in order of its appearance in the body of the report. Appendixes to provide additional information about the SBIR program and permit cross-reference of the 1991 Phase 1 projects by company name, location by state, principal investigator, NASA Field Center responsible for management of each project, and NASA contract number are included

    The NASA SBIR product catalog

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    The purpose of this catalog is to assist small business firms in making the community aware of products emerging from their efforts in the Small Business Innovation Research (SBIR) program. It contains descriptions of some products that have advanced into Phase 3 and others that are identified as prospective products. Both lists of products in this catalog are based on information supplied by NASA SBIR contractors in responding to an invitation to be represented in this document. Generally, all products suggested by the small firms were included in order to meet the goals of information exchange for SBIR results. Of the 444 SBIR contractors NASA queried, 137 provided information on 219 products. The catalog presents the product information in the technology areas listed in the table of contents. Within each area, the products are listed in alphabetical order by product name and are given identifying numbers. Also included is an alphabetical listing of the companies that have products described. This listing cross-references the product list and provides information on the business activity of each firm. In addition, there are three indexes: one a list of firms by states, one that lists the products according to NASA Centers that managed the SBIR projects, and one that lists the products by the relevant Technical Topics utilized in NASA's annual program solicitation under which each SBIR project was selected

    Aeronautical engineering: A continuing bibliography with indexes (supplement 234)

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    This bibliography lists 539 reports, articles, and other documents introduced into the NASA scientific and technical information system in December, 1988. Subject coverage includes: design, construction and testing of aircraft and aircraft engines; aircraft components, equipment and systems; ground support systems; and theoretical and applied aspects of aerodynamics and general fluid dynamics

    NASA's Microgravity Technology Report, 1996: Summary of Activities

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    This report covers technology development and technology transfer activities within the Microgravity Science Research Programs during FY 1996. It also describes the recent major tasks under the Advanced Technology Development (ATD) Program and identifies current technology requirements. This document is consistent with NASA,s Enteprise for the Human Exploration and development of Space (HEDS) Strategic Plan. This annual update reflects changes in the Microgravity Science Research Program's new technology activities and requirements. Appendix A. FY 1996 Advanced Technology Development. Program and Project Descriptions. Appendix B. Technology Development

    Research reports: 1991 NASA/ASEE Summer Faculty Fellowship Program

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    The basic objectives of the programs, which are in the 28th year of operation nationally, are: (1) to further the professional knowledge of qualified engineering and science faculty members; (2) to stimulate an exchange of ideas between participants and NASA; (3) to enrich and refresh the research and teaching activities of the participants' institutions; and (4) to contribute to the research objectives of the NASA Centers. The faculty fellows spent 10 weeks at MSFC engaged in a research project compatible with their interests and background and worked in collaboration with a NASA/MSFC colleague. This is a compilation of their research reports for summer 1991

    Technology 2003: Conference Proceedings from the Fourth National Technology Transfer Conference and Exposition, Volume 1

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    Proceedings from symposia of the Technology 2003 Conference and Exposition, December 7-9, I993, Anaheim, CA. Volume 1 features the Plenary Session and the Plenary Workshop, plus papers presented in Advanced Manufacturing, Biotechnology/Medical Technology, Environmental Technology, Materials Science, and Power and Energy
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