1,989 research outputs found

    Biometric Standards Survey

    Get PDF
    This document presents a quick survey on the most important standards regarding biometric technologies, concentrating mainly in those concerning the smartcard environment

    COSPO/CENDI Industry Day Conference

    Get PDF
    The conference's objective was to provide a forum where government information managers and industry information technology experts could have an open exchange and discuss their respective needs and compare them to the available, or soon to be available, solutions. Technical summaries and points of contact are provided for the following sessions: secure products, protocols, and encryption; information providers; electronic document management and publishing; information indexing, discovery, and retrieval (IIDR); automated language translators; IIDR - natural language capabilities; IIDR - advanced technologies; IIDR - distributed heterogeneous and large database support; and communications - speed, bandwidth, and wireless

    Content Based Image Retrieval (CBIR) in Remote Clinical Diagnosis and Healthcare

    Full text link
    Content-Based Image Retrieval (CBIR) locates, retrieves and displays images alike to one given as a query, using a set of features. It demands accessible data in medical archives and from medical equipment, to infer meaning after some processing. A problem similar in some sense to the target image can aid clinicians. CBIR complements text-based retrieval and improves evidence-based diagnosis, administration, teaching, and research in healthcare. It facilitates visual/automatic diagnosis and decision-making in real-time remote consultation/screening, store-and-forward tests, home care assistance and overall patient surveillance. Metrics help comparing visual data and improve diagnostic. Specially designed architectures can benefit from the application scenario. CBIR use calls for file storage standardization, querying procedures, efficient image transmission, realistic databases, global availability, access simplicity, and Internet-based structures. This chapter recommends important and complex aspects required to handle visual content in healthcare.Comment: 28 pages, 6 figures, Book Chapter from "Encyclopedia of E-Health and Telemedicine

    AXMEDIS 2008

    Get PDF
    The AXMEDIS International Conference series aims to explore all subjects and topics related to cross-media and digital-media content production, processing, management, standards, representation, sharing, protection and rights management, to address the latest developments and future trends of the technologies and their applications, impacts and exploitation. The AXMEDIS events offer venues for exchanging concepts, requirements, prototypes, research ideas, and findings which could contribute to academic research and also benefit business and industrial communities. In the Internet as well as in the digital era, cross-media production and distribution represent key developments and innovations that are fostered by emergent technologies to ensure better value for money while optimising productivity and market coverage

    ์Šค์บ” ๋„๋ฉด์„ ํ™œ์šฉํ•œ ์ด๋™์•ฝ์ž์šฉ ์‹ค๋‚ด ๊ทธ๋ž˜ํ”„ ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค ๊ตฌ์ถ•

    Get PDF
    ํ•™์œ„๋…ผ๋ฌธ(๋ฐ•์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ๊ณต๊ณผ๋Œ€ํ•™ ๊ฑด์„คํ™˜๊ฒฝ๊ณตํ•™๋ถ€, 2021.8. ๋ฐ•์Šฌ์•„.์‚ฌ๋žŒ๋“ค์˜ ์‹ค๋‚ด ํ™œ๋™์ด ๋‹ค์–‘ํ•ด์ง€๋ฉด์„œ ๊ฑด๋ฌผ์˜ ๊ทœ๋ชจ๊ฐ€ ์ปค์ง€๊ณ  ๊ตฌ์กฐ๊ฐ€ ๋ณต์žกํ•ด์ง€๊ณ  ์žˆ๋‹ค. ์ด๋Ÿฌํ•œ ์‹ค๋‚ด ํ™˜๊ฒฝ์˜ ๋ณ€ํ™”๋Š” ๊ตํ†ต์•ฝ์ž์˜ ์ด๋™์„ฑ ๋ณด์žฅ์— ๋Œ€ํ•œ ์‚ฌํšŒ์  ๊ด€์‹ฌ์„ ์ฆ๊ฐ€์‹œ์ผฐ์œผ๋ฉฐ, ๊ตํ†ต์•ฝ์ž ๋งž์ถคํ˜• ์‹ค๋‚ด ๋ผ์šฐํŒ… ์„œ๋น„์Šค์— ๋Œ€ํ•œ ์ˆ˜์š” ๋˜ํ•œ ์ฆ๊ฐ€์‹œ์ผฐ๋‹ค. ํŠนํžˆ ๋งŽ์€ ์ด๋™ ์ œ์•ฝ์„ ๊ฐ€์ง€๋Š” ์ด๋™์•ฝ์ž ๋Œ€์ƒ ์„œ๋น„์Šค์˜ ๊ฒฝ์šฐ์—๋Š”, ์ตœ์  ๊ฒฝ๋กœ๋ฅผ ๊ณ„ํšํ•˜๋Š” ๊ณผ์ •์—์„œ ๊ฐœ์ธ์˜ ์„ ํ˜ธ๋‚˜ ๊ฒฝํ—˜์ด ๋ฐ˜์˜๋œ ๊ฐœ์ธํ™”๋œ ์„œ๋น„์Šค๋กœ ๋ฒ”์œ„๊ฐ€ ํ™•์žฅ๋˜๊ณ  ์žˆ๋‹ค. ์ด๋Ÿฌํ•œ ๋ฐฐ๊ฒฝ์—์„œ, ์Šคํ‚ค๋งˆ๊ฐ€ ์œ ์—ฐํ•˜๊ณ  ๋ฐ์ดํ„ฐ์˜ ๊ฐ€๊ณต ๋ฐ ์ฒ˜๋ฆฌ๊ฐ€ ํšจ์œจ์ ์ธ ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค์˜ ๊ตฌ์ถ•์ด ํ•„์š”ํ•˜๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์Šค์บ”ํ•œ ๋„๋ฉด ์ด๋ฏธ์ง€๋ฅผ ํ™œ์šฉํ•œ ์ด๋™์•ฝ์ž์šฉ ์‹ค๋‚ด ๊ทธ๋ž˜ํ”„๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค ๊ตฌ์ถ• ๊ธฐ๋ฒ•์„ ์ œ์•ˆํ•˜์˜€๋‹ค. ๋จผ์ €, ๊ตญ๋‚ด์™ธ ์‹ค๋‚ด ๊ณต๊ฐ„ ๊ด€๋ จ ํ‘œ์ค€ ๋ฐ ์„ค๊ณ„ ๊ธฐ์ค€๋“ค์˜ ๊ฒ€ํ† ๋ฅผ ํ†ตํ•ด ์ด๋™์•ฝ์ž์˜ ํ†ตํ–‰๊ณผ ๊ด€๋ จ๋œ ์‹ค๋‚ด ๊ณต๊ฐ„ ๋ฐ ๊ฐ์ฒด, ์˜ํ–ฅ ์š”์ธ๋“ค์„ ๋„์ถœํ•˜์—ฌ ๊ฐœ๋…์  ๋ฐ์ดํ„ฐ ๋ชจ๋ธ์„ ์„ค๊ณ„ํ•˜์˜€๋‹ค. ๋˜ํ•œ, ์‹ค๋‚ด์˜ ๊ฐ ๊ณต๊ฐ„๊ณผ ์‹œ์„ค๋ฌผ์˜ ๊ธฐํ•˜์ •๋ณด์™€ ์œ„์ƒ์ •๋ณด๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ ์ด๋™์•ฝ์ž์˜ ์ ‘๊ทผ์„ฑ ๋ฐ ํ†ตํ–‰ ๊ฐ€๋Šฅ์„ฑ์„ ์ •๋Ÿ‰ํ™”ํ•˜๊ธฐ ์œ„ํ•œ ์ ‘๊ทผ์„ฑ ์ง€์ˆ˜๋ฅผ ์„ค๊ณ„ํ•˜์˜€๋‹ค. ๋‹ค์Œ์œผ๋กœ, ์Šค์บ” ๋„๋ฉด์„ ์ž…๋ ฅํ•˜์—ฌ ์ด๋™์•ฝ์ž์šฉ ์‹ค๋‚ด ๊ทธ๋ž˜ํ”„ ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค ๊ตฌ์ถ•์„ ์œ„ํ•œ ํ”„๋กœ์„ธ์Šค๋ฅผ ์ œ์•ˆํ•˜์˜€๋‹ค. ์ œ์•ˆํ•œ ํ”„๋กœ์„ธ์Šค๋Š” ์ „์ดํ•™์Šต ๊ธฐ๋ฐ˜ ์ ‘๊ทผ ๋ฐฉ์‹์„ ํ†ตํ•ด ์Šค์บ” ๋„๋ฉด์—์„œ ๊ณต๊ฐ„์˜ ๊ตฌ์กฐ ์ •๋ณด๋ฅผ ์ถ”์ถœํ•˜๊ณ , ํ† ํด๋กœ์ง€ ์ถ”์ถœ ๋ฐ ์ ‘๊ทผ์„ฑ ํ‰๊ฐ€๋ฅผ ํ†ตํ•ด ์ด๋™์•ฝ์ž์šฉ ๋„คํŠธ์›Œํฌ ๋ชจ๋ธ์„ ์ƒ์„ฑํ•˜๋ฉฐ, ์ƒ์„ฑํ•œ ๋„คํŠธ์›Œํฌ ๋ชจ๋ธ์„ ๊ทธ๋ž˜ํ”„ ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค๋กœ ์ž๋™ ๋ณ€ํ™˜ํ•˜๋Š” ๊ณผ์ •์„ ํฌํ•จํ•œ๋‹ค. ๊ตฌ์ฒด์ ์œผ๋กœ, ์ œ์•ˆ ํ”„๋กœ์„ธ์Šค๋Š” ์ˆ˜์ •๋œ ResNet ๊ธฐ๋ฐ˜์˜ ๋ชจ๋ธ์„ ์ƒˆ๋กญ๊ฒŒ ๋ผ๋ฒจ๋งํ•œ ๋„๋ฉด์œผ๋กœ ๋ฏธ์„ธ ์กฐ์ •ํ•˜์—ฌ ์‚ฌ์šฉํ•จ์œผ๋กœ์จ ์‹ค๋‚ด ๊ตฌ์กฐ๋งต์„ ์ƒ์„ฑํ•œ๋‹ค. ์ดํ›„ ์ถ”์ถœ๋œ ๊ฐ์ฒด๋“ค์˜ ๊ณต๊ฐ„ ๊ด€๊ณ„๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ ๊ฐ ๊ณต๊ฐ„์„ ๋…ธ๋“œ์™€ ๋งํฌ๋กœ ํ‘œํ˜„ํ•œ ์‹ค๋‚ด ๋„คํŠธ์›Œํฌ ๋ชจ๋ธ์„ ๊ตฌ์ถ•ํ•œ๋‹ค. ๊ฐ ๊ณต๊ฐ„์˜ ์ ‘๊ทผ์„ฑ ์ •๋ณด๋Š” ์ œ์•ˆ๋œ ์ ‘๊ทผ์„ฑ ์ง€์ˆ˜์™€ ์ž„๊ณ„๊ฐ’์„ ์‚ฌ์šฉํ•˜์—ฌ ์ƒ์„ฑ๋œ ํ›„ ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค์— ์ €์žฅ๋˜์–ด, ์ด๋™์•ฝ์ž๋ฅผ ์œ„ํ•œ ์ ‘๊ทผ ๊ฐ€๋Šฅํ•œ ๊ทธ๋ž˜ํ”„ ์ถ”์ถœ์— ํ™œ์šฉ๋  ์ˆ˜ ์žˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์ œ์•ˆํ•œ ๊ธฐ๋ฒ•์„ ์„œ์šธ๋Œ€ํ•™๊ต ๋„๋ฉด ๋ฐ์ดํ„ฐ ์…‹์— ์ ์šฉํ•˜์—ฌ ์ด๋™์•ฝ์ž์šฉ ์‹ค๋‚ด ๊ทธ๋ž˜ํ”„ ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค๋ฅผ ๊ตฌ์ถ•ํ•˜๊ณ  ํ‰๊ฐ€ํ•˜์˜€๋‹ค. ๊ตฌ์ถ•ํ•œ ์‹ค๋‚ด ๊ทธ๋ž˜ํ”„ ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค๋ฅผ ํ™œ์šฉํ•˜์—ฌ ๋‹ค์ธต ๊ฒฝ๋กœ ๊ณ„ํš๊ณผ ์‹ค๋‚ด์™ธ ์—ฐ๊ณ„ ๊ฒฝ๋กœ ๊ณ„ํš์˜ 2๊ฐ€์ง€ ์‹œ๋‚˜๋ฆฌ์˜ค์— ๋”ฐ๋ผ ์ตœ์  ๊ฒฝ๋กœ๋ฅผ ๋„์ถœํ•˜์˜€๋‹ค. ๊ทธ ๊ฒฐ๊ณผ, ์ผ๋ฐ˜ ๋ณดํ–‰์ž์˜ ์ตœ์  ๊ฒฝ๋กœ์™€ ๋น„๊ตํ•˜์—ฌ ์ด๋™์•ฝ์ž์šฉ ์ตœ์  ๊ฒฝ๋กœ๋Š” ๊ฐ€๊นŒ์šด ๊ณ„๋‹จ์ด ์•„๋‹Œ ์—˜๋ฆฌ๋ฒ ์ดํ„ฐ๋ฅผ ํ†ตํ•œ ์ˆ˜์ง ์ด๋™์„ ํฌํ•จํ•˜์˜€์„ ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ์ ‘๊ทผ ๋ถˆ๊ฐ€๋Šฅํ•œ ๊ณต๊ฐ„์„ ํšŒํ”ผํ•˜๋„๋ก ๋„์ถœ๋˜์—ˆ๋‹ค. ์ฆ‰, ์ œ์•ˆํ•œ ๊ธฐ๋ฒ•์„ ํ†ตํ•ด ์ด๋™์•ฝ์ž ์ธก๋ฉด์—์„œ ํ†ตํ–‰ ์žฅ์•  ์ •๋ณด๋ฅผ ํฌํ•จํ•˜์—ฌ ์‹ค๋‚ด ํ™˜๊ฒฝ์„ ์ ์ ˆํ•˜๊ฒŒ ๋ฌ˜์‚ฌํ•˜๋Š” ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค์˜ ๊ตฌ์ถ•์ด ๊ฐ€๋Šฅํ•จ์„ ํ™•์ธํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค. ๋˜ํ•œ, ์ถœ์ž…๋กœ๋กœ ๋ช…๋ช…๋œ ๊ด€๊ณ„ ์ƒ์„ฑ๋งŒ์œผ๋กœ ์Šค์ผ€์ผ์ด๋‚˜ ์ขŒํ‘œ ๋ณ€ํ™˜ ์—†์ด ์‹ค๋‚ด์™ธ ์—ฐ๊ณ„ ๊ฒฝ๋กœ ๊ณ„ํš์ด ๊ฐ€๋Šฅํ•˜์˜€๋Š”๋ฐ, ์ด๋Š” ๋…๋ฆฝ์ ์ธ ๋ฐ์ดํ„ฐ ๊ฐ„ ์—ฐ๊ณ„ ์‚ฌ์šฉ์— ์ ํ•ฉํ•œ ๊ทธ๋ž˜ํ”„ ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค์˜ ํŠน์„ฑ์„ ๋ฐ˜์˜ํ•œ ๊ฒฐ๊ณผ๋กœ ํŒ๋‹จํ•  ์ˆ˜ ์žˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์˜ ์ฃผ์š” ๊ธฐ์—ฌ๋Š” ์Šค์บ”ํ•œ ๋„๋ฉด์„ ์‚ฌ์šฉํ•˜์—ฌ ์ด๋™์•ฝ์ž์šฉ ์‹ค๋‚ด ๊ทธ๋ž˜ํ”„ ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค๋ฅผ ๊ตฌ์ถ•ํ•˜๊ธฐ ์œ„ํ•œ ํ”„๋กœ์„ธ์Šค๋ฅผ ๊ฐœ๋ฐœํ•œ ๊ฒƒ์ด๋‹ค. ๊ตฌ์ฒด์ ์œผ๋กœ, ์ด๋™์•ฝ์ž์˜ ์ด๋™์— ์ดˆ์ ์„ ๋‘๊ณ  ์„ค๊ณ„ํ•œ ๋ฐ์ดํ„ฐ ๋ชจ๋ธ์„ ๊ธฐ๋ฐ˜์œผ๋กœ ํ•œ ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค ๊ตฌ์ถ•์ด ๊ฐ€๋Šฅํ•˜๋ฏ€๋กœ ์ด๋™์•ฝ์ž์šฉ ์‹ค๋‚ด ๊ธธ์•ˆ๋‚ด ์„œ๋น„์Šค์— ํ™œ์šฉ๋  ์ˆ˜ ์žˆ๋‹ค. ๋˜ํ•œ, ํ† ํด๋กœ์ง€ ๊ตฌ์ถ• ๋ฐ ๊ทธ๋ž˜ํ”„ ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค๋กœ์˜ ๋ณ€ํ™˜์„ ์œ„ํ•œ ํ•˜์œ„ ํ”„๋กœ์‹œ์ ธ๋ฅผ ๊ฐœ๋ฐœํ•˜์˜€์œผ๋ฉฐ, ์ œ์•ˆ ํ”„๋กœ์„ธ์Šค๋Š” ํ•ด๋‹น ํ”„๋กœ์‹œ์ ธ๋“ค๋กœ ๊ตฌ์„ฑ๋˜์–ด ๋„๋ฉด ์ž…๋ ฅ์„ ํ†ตํ•ด ์ด๋™์•ฝ์ž์šฉ ์‹ค๋‚ด ๊ทธ๋ž˜ํ”„ ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค ๊ตฌ์ถ•์„ ๊ฐ€๋Šฅํ•˜๊ฒŒ ํ•œ๋‹ค. ํ•ด๋‹น ํ•˜์œ„ ํ”„๋กœ์‹œ์ ธ๋“ค์€ ์ž๋™์œผ๋กœ ์ˆ˜ํ–‰๋  ์ˆ˜ ์žˆ์–ด ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค ๊ตฌ์ถ• ์‹œ ์†Œ์š”๋˜๋Š” ์‹œ๊ฐ„๊ณผ ๋น„์šฉ์„ ์ ˆ๊ฐํ•  ์ˆ˜ ์žˆ๋‹ค. ๋˜ํ•œ, ๋‹ค์–‘ํ•œ ์ •ํ˜• ๋ฐ ๋น„์ •ํ˜• ๋ฐ์ดํ„ฐ์˜ ์—ฐ๊ณ„์— ์ ํ•ฉํ•œ ๊ทธ๋ž˜ํ”„ ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค์˜ ํŠน์ง•์— ์˜ํ•ด, ์ œ์•ˆํ•œ ํ”„๋กœ์„ธ์Šค๋ฅผ ํ†ตํ•ด ๊ตฌ์ถ•ํ•œ ์‹ค๋‚ด ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค๋Š” ๊ธฐ์กด ๊ณต๊ฐ„ ๋ชจ๋ธ์˜ ๊ธฐ๋Šฅ์„ ํฌํ•จํ•˜๋ฉด์„œ ๋‹ค์–‘ํ•œ ์œ ํ˜•์˜ ๊ธธ์•ˆ๋‚ด ์„œ๋น„์Šค์— ํ™œ์šฉ๋  ์ˆ˜ ์žˆ์„ ๊ฒƒ์œผ๋กœ ๊ธฐ๋Œ€๋œ๋‹ค.Changes to the indoor environment have increased social interest in ensuring the mobility of people with disabilities. Therefore, the demand for customized indoor routing services for people with mobility disabilities (PWMD), who have many travel restrictions, is increasing. These services have progressed from spatial routing to personalized routing, which reflects personal preferences and experiences in planning an optimal path. In this regard, it is necessary to generate a database for PWMD with a flexible schema suitable for the efficient manipulation and processing of data. This study aims to propose a technique of generating an indoor graph database for PWMD using scanned floor plans. First, a conceptual data model was developed by deriving relevant indoor features and influential factors, considering various international regulations on indoor environments. Also, the accessibility index was designed based on the data model to quantify the difficulties in accessing spaces based on each indoor spaces geometric characteristics. Next, a three-stage process was proposed: retrieving the structure of spaces from scanned floor plans through a transfer learning-based approach, retrieving topology and assessing accessibility for creating an indoor network model for PWMD, and converting the network model into a graph database. Specifically, an indoor structure map is created by fine-tuning the modified Resnet-based model with newly annotated floor plans for extracting structure information. Also, based on the spatial relationship of the extracted features, the indoor network model was created by abstracting indoor spaces with nodes and links. The accessibility of each space is determined by the proposed indices and thresholds; thereby, a feasible network for PWMD could be derived. Then, a process was developed for automatically converting an indoor network model, including accessibility property, into a graph database. The proposed technique was applied to the Seoul National University dataset to generate an indoor graph database for PWMD. Two scenario-based routing tests were conducted using the generated database to verify the utility of results: multi-floor routing and integrated indoor-outdoor routing. As a result, compared with the path for general pedestrians, the optimal path for PWMD was derived by avoiding inaccessible spaces, including vertical movement using elevators rather than the nearest stairs. In other words, applying the proposed technique, a database that adequately described an indoor environment in terms of PWMD with sufficient mobile constraint information could be constructed. Moreover, an integrated indoor-outdoor routing could be conducted by only creating an entrance-labeled relationship, without scale and coordinate transformation. This result reflects the usability of the generated graph database and its suitability regarding the incorporation of multiple individual data sources. The main contribution lies in the development of the process for generating an indoor graph database for PWMD using scanned floor plans. In particular, the database for PWMD routing can be generated based on the proposed data model with PWMD-related features and factors. Also, sub-procedures for topology retrieval and graph database conversion are developed to generate the indoor graph database by the end-to-end process. The developed sub-procedures are performed automatically, thereby reducing the required times and costs. It is expected that the target database of the proposed process can be generated considering utilization for various types of routing since the graph database is easily integrated with multiple types of information while covering the existing spatial models function.1. Introduction 1 1.1 Objectives and contributions 1 1.2 Related works 7 1.2.1 Indoor environment conceptualization 7 1.2.2 Indoor data construction 11 1.2.3 Accessibility assessment 19 1.3 Research scope and flow 22 2. Conceptual modeling 26 2.1 Relevant features and factors 28 2.2 Proposed data model 30 2.3 Space accessibility for PWMD 36 2.3.1 Influential factors within indoor environments 37 2.3.2 Accessibility index 41 3. Indoor graph database for PWMD from scanned floor plans 43 3.1 Retrieving structure of indoor spaces 43 3.1.1 Pre-trained model for detecting indoor geometry 45 3.1.2 Dataset with new annotation 47 3.1.3 Transfer learning-based approach 52 3.2 Generating the indoor network model for PWMD 56 3.2.1 Definition of nodes and links in the network model 60 3.2.2 The classification rule of space polygons 63 3.2.3 Connection between general spaces and doors 68 3.2.4 Node-link generation for horizontal transition spaces 71 3.2.5 Vertical link generation 75 3.2.6 Connectivity and accessibility information generation 79 3.3 Indoor graph database for PWMD 80 3.3.1 Graph representation of indoor environments 80 3.3.2 Conversion of network model into graph database 83 3.4 Entire process 87 4. Experiment and results 89 4.1 Experimental setup and test data 89 4.2 Evaluation for retrieved information 92 4.2.1 Results of structure retrieval 92 4.2.2 Results of topology retrieval 99 4.3 Generated indoor graph database for PWMD 128 4.3.1 Results of the indoor graph database for PWMD 128 4.3.2 Query-based routing 136 5. Conclusion 147 References 150 Appendix 166 ๊ตญ๋ฌธ์ดˆ๋ก 178๋ฐ•

    Computer integrated documentation

    Get PDF
    The main technical issues of the Computer Integrated Documentation (CID) project are presented. The problem of automation of documents management and maintenance is analyzed both from an artificial intelligence viewpoint and from a human factors viewpoint. Possible technologies for CID are reviewed: conventional approaches to indexing and information retrieval; hypertext; and knowledge based systems. A particular effort was made to provide an appropriate representation for contextual knowledge. This representation is used to generate context on hypertext links. Thus, indexing in CID is context sensitive. The implementation of the current version of CID is described. It includes a hypertext data base, a knowledge based management and maintenance system, and a user interface. A series is also presented of theoretical considerations as navigation in hyperspace, acquisition of indexing knowledge, generation and maintenance of a large documentation, and relation to other work

    Automated Bridge Inspection for Concrete Surface Defect Detection Using Deep Neural Network Based on LiDAR Scanning

    Get PDF
    Structural inspection and maintenance of bridges are essential to improve the safety and sustainability of the infrastructure systems. Visual inspection using non-equipped eyes is the principal method of detecting surface defects of bridges, which is time-consuming, unsafe, and encounters inspectors falling risks. Therefore, there is a need for automated bridge inspection. Recently, Light Detection and Ranging (LiDAR) scanners are used for detecting surface defects. LiDAR scanners can collect high-quality 3D point cloud datasets. In order to automate the process of structural inspection, it is important to collect proper datasets and use an efficient approach to analyze them and find the defects. Deep Neural Networks (DNNs) have been recently used for detecting 3D objects within 3D point clouds. PointNet and PointNet++ are deep neural networks for classification, part segmentation, and semantic segmentation of point clouds that are modified and adapted in this work to detect surface concrete defects. The research contributions are: (1) Designing a LiDAR-equipped UAV platform for structural inspection using an affordable 2D scanner for data collection, and (2) Proposing a method for detecting concrete surface defects using deep neural networks based on LiDAR generated point clouds. Training and testing datasets are collected from four concrete bridges in Montrรฉal and annotated manually. The point cloud dataset prepared in five areas, which contain more than 51 million points and 2,572 annotated defects in four classes of crack, light spalling, medium spalling, and severe spalling. The accuracies of 75% (adapted PointNet) and 79% (adapted PointNet++) in detecting defects are achieved in binary semantic segmentation

    Extraction of textual information from image for information retrieval

    Get PDF
    Ph.DDOCTOR OF PHILOSOPH

    Investigation of advanced navigation and guidance system concepts for all-weather rotorcraft operations

    Get PDF
    Results are presented of a survey conducted of active helicopter operators to determine the extent to which they wish to operate in IMC conditions, the visibility limits under which they would operate, the revenue benefits to be gained, and the percent of aircraft cost they would pay for such increased capability. Candidate systems were examined for capability to meet the requirements of a mission model constructed to represent the modes of flight normally encountered in low visibility conditions. Recommendations are made for development of high resolution radar, simulation of the control display system for steep approaches, and for development of an obstacle sensing system for detecting wires. A cost feasibility analysis is included
    • โ€ฆ
    corecore