1,219 research outputs found

    (A) Research about the Wave Force on Cylinders in Transient Waves

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    When the very large offshore structures are constructed at sea, the site has a various wave in which the physical phenomena are very complicated. But most research on the wave force of the very large offshore structures are carried out on linear wave force. Because of the complexity of analysis and difficulties of measurement. To get more realistic estimations of force on offshore structures in real sea, it is necessary to consider the effects of nonlinear water waves. Some research has been carried out analysis of transient waves to consider breaking waves. However, almost all of the simulations to transient waves are very complicated and difficult because of taking measurements. This paper first presents easier simulation to transient wave. Second, It compares wave force based on the 3-D source distribution method and measured in breaking waves. A numerical procedure is described for predicting the wave force of cylinders by the 3-D source distribution method. As well as, to analysis of irregular wave, carried out a convolution integral with a response impulse function which is to take inverse FFT the wave exciting force in frequency domain. And transient wave is solved from linear Airy wave theory and based on combining an energy transmission velocity and a wave phase velocity. This formula applies to any water depth, because this formula includes linear dispersion relationship. When the 3-D source distribution method is used to calculate the wave force and generated by breaking wave meets the very large floating body, the resulting figures are smaller than the real wave force.Abstract = โ…ฐ Nomenclature = โ…ณ List of Tables = โ…ต List of Figures = โ…ถ 1. ์„œ๋ก  = 1 1.1 ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ = 1 1.2 ๊ธฐ์กด์˜ ์—ฐ๊ตฌ = 1 1.3 ์—ฐ๊ตฌ์˜ ๋‚ด์šฉ = 2 2. ํ•ด์–‘๊ตฌ์กฐ๋ฌผ์— ์ž‘์šฉํ•˜๋Š” ๋น„์„ ํ˜• ์œ ์ฒด๋ ฅ ํ•ด์„ = 3 2.1 ๋น„์„ ํ˜• ์œ ์ฒด๋ ฅ ๋ฐ ํŒŒ๊ฐ•์ œ๋ ฅ = 3 2.2 ์ž์œ ํ‘œ๋ฉด ๊ฒฝ๊ณ„์กฐ๊ฑด = 4 2.3 ๋ฌผ์ฒดํ‘œ๋ฉด ๊ฒฝ๊ณ„์กฐ๊ฑด = 7 2.4 ๊ฒฝ๊ณ„์น˜ ๋ฌธ์ œ์™€ ์œ ์ฒด๋ ฅ = 12 2.5 ํŒŒ๊ฐ•์ œ๋ ฅ๊ณผ ์ „๋‹ฌํ•จ์ˆ˜ = 15 3. ์‹œ๊ฐ„ ์˜์—ญ์—์„œ์˜ ํŒŒ๊ฐ•์ œ๋ ฅ = 21 4. ์ด๋ก ๊ณ„์‚ฐ ๋ฐ ๋ชจํ˜• = 25 4.1 ๊ณ„์‚ฐ ๋ฐ ์‹คํ—˜๋ชจํ˜• = 25 4.2 ํŠน์ด์ ๋ถ„ํฌ๋ฒ•์—์˜ํ•œ 1์ฐจ ํŒŒ๊ฐ•์ œ๋ ฅ = 27 4.3 ๊ฐ ๋ชจ๋ธ์— ๋Œ€ํ•œ ์ž„ํŽ„์Šค ์‘๋‹ตํ•จ์ˆ˜ = 29 5 ์‹คํ—˜ = 30 5.1 ๊ณผ๋„์ˆ˜ํŒŒ = 30 5.2 ๊ณผ๋„์ˆ˜ํŒŒ ์žฌํ˜„ = 32 5.3 ์‹คํ—˜ ๋ฐ์ดํ„ฐ ์ฒ˜๋ฆฌ = 34 5.4 ์‹ค์ œ๋กœ ์žฌํ˜„๋œ ํŒŒํ˜• = 35 5.5 ์ธก์ •๋œ ํŒŒ๋ ฅ๊ณผ ์ด๋ก ์—์„œ ๊ตฌํ•ด์ง„ ํŒŒ๋ ฅ ๋น„๊ต = 44 5.5.1 ๋ชจ๋ธโ…  = 45 5.5.2 ๋ชจ๋ธโ…ก = 47 5.5.3 ์‹คํ—˜ ๋ถ„์„ = 49 6. ๊ฒฐ๋ก  = 50 References = 51 ์ฐธ๊ณ . Haskind ๊ณต์‹ = 5

    ็ฌฌ28ๆœŸ

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    [[abstract]]็”ฑๆ–ผ๏คŠ่žๅฑๆฉŸๅŠๅ…ˆๅ‰ไธปๆฌŠๅ‚ตๅธ‚ๅ‹•็›ช๏ผŒๅ†ๆฌกๅผ•็™ผๅฐๆญ็›Ÿ็ถ“ๆฟŸๆฒป๏งค็š„้—œๆณจใ€‚้‡ๅฐ็ถ“ๆฟŸๅ•้กŒ๏ผŒๆญ็›Ÿ้ซ˜ๅณฐๆœƒ่จญ็ฝฎไธ€ไปปๅ‹™ๅฐ็ต„ใ€‚2010๏ฆŽ10ๆœˆ21ๆ—ฅไปปๅ‹™ๅฐ็ต„ๅ‘ๆญ็›Ÿ้ซ˜ๅณฐๆœƒๆๅ‡บไธ€ไปฝๅ ฑๅ‘Š๏ผŒๆŒ‡ๅ‡บๅœจไฟๆœ‰ๅœ‹ๅฎถ่ฒกๆ”ฟๅŠ็ถ“ๆฟŸๆ”ฟ็ญ–ไน‹ๅŒๆ™‚๏ผŒๅ„ๆœƒๅ“กๅœ‹้–“ๅฐคๅ…ถๆ˜ฏๆญๅ…ƒๅ€๏ผŒ็ถ“ๆฟŸ็›ธไบ’ไพ่ณด๏จๆฅต้ซ˜ใ€‚ไปปๅ‹™ๅฐ็ต„ๅปบ่ญฐๆ‡‰ๅผทๅŒ–็ถ“ๆฟŸๆฒป๏งค๏ผŒๆ”น้ฉๆ–นๅ‘ๆ‡‰ๆœไบ”ๅ€‹้ขๅ‘็™ผๅฑ•ใ€‚ ็ฌฌๅ…ซๅฑ†ไบžๆญ้ซ˜ๅณฐๆœƒ่ญฐๆ–ผ2010๏ฆŽ10ๆœˆ4่‡ณ5ๆ—ฅๅœจๆฏ”๏งๆ™‚ๅธƒ๏คน๏ฅฌ็ˆพ่ˆ‰๏จˆใ€‚ไบžๆญ้ซ˜ๅณฐๆœƒไธปๅธญๆ–ผไธปๆŒๆœƒ่ญฐๆ™‚่กจ็คบ๏ผŒๆญคๆฌกๆœƒ่ญฐ็š„ไธป้กŒๅœจๆ–ผ่จŽ๏ฅใ€Œ็”Ÿๆดปๅ“่ณชใ€๏ผŒ่—‰ๆญค้”ๆˆๆ‰€ๆœ‰ๅ…ฌๆฐ‘๏คๅฅฝ็š„็ฆ๏งไธฆ็ตฆไบˆ๏คๅคš็š„ๅฐŠๅšดใ€‚ๅœจๆญคๆœƒ่ญฐไธญ๏ผŒๆ‰€ๆœ‰ไบžๆดฒ่ˆ‡ๆญๆดฒๆˆๅ“กๅœ‹็š„๏ฆดๅฐŽไบบ็š†้‡็”ณ้›™้‚Š็ญ–๏ฅถๆ€งๅฐ่ฉฑ่ˆ‡ๅˆไฝœ็š„่ญฐ้กŒ๏ผŒไธฆไธ”่‘—้‡ๅœจๅนณ็ญ‰็š„ๅคฅไผด้—œไฟ‚ใ€็›ธไบ’้–“็š„ๅฐŠ้‡่ˆ‡๏ง็›Šๅˆ†้…ใ€‚ ไผŠๆ–ฏๅฆๅ กๆ˜ฏไธ–็•ŒไธŠๅ”ฏไธ€ๆฉซ่ทจๆญไบž๏ฅธๆดฒ็š„ๅŸŽๅธ‚๏ผŒไธ”ๅœจ2010๏ฆŽ้‚„็ฒ้ธ็‚บๆญ็›Ÿ็š„ๆ–‡ๅŒ–ไน‹้ƒฝใ€‚ไผŠๆ–ฏๅฆๅ ก็‚บไฝ•ๅ…ฅ้ธ๏ผŸๅœŸ่€ณๅ…ถ๏ฅงๆ˜ฏ็ฉ†ๆ–ฏ๏งด็š„ไธ–็•Œๅ—Ž๏ผŸๅœŸ่€ณๅ…ถ็‚บไฝ•ๆƒณๅŠ ๅ…ฅๆญ็›Ÿ๏ผŸไผŠๆ–ฏๅฆๅ ก็š„้ญ…๏ฆŠๅœจๅ“ช

    Design and Implementation of a Relational Database for Management of UML Models

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    The UML (Unified Modeling Language) is a modeling language for specifying, visualizing, constructing, and documenting systems. It also supports systematically the design and development of systems. There may be a large number of models to be managed in a real modeling environment. A methodology to save and retrieve the models effectively, therefore, needs to be developed. This thesis focuses on the class diagram which is the core part of UML. It proposes a database supported methodology for the management of class diagrams. In the proposed methodology, class diagrams are saved in and retrieved from a relational database. To save a class diagram in the database, the constitution of the class diagram is translated in terms of relational tables. To retrieve a class diagram from the database, the user- specified query is translated into the SQL (Structured Query Language), and then the constituent of the class diagram is searched from the tables in the database. The proposed methodology can exploit the function of the relational database such as managing a large number of models, sharing the models among users, and fast queries. It, therefore, provides a powerful framework for an effective management of UML models and a fast development of systems.Abstract = โ…ฑ ์ œ 1 ์žฅ ์„œ๋ก  = 1 ์ œ 2 ์žฅ UML ๋ฐ UML ๊ฐœ๋ฐœ ๋„๊ตฌ = 4 2.1 UML์˜ ๊ตฌ์„ฑ ์š”์†Œ = 4 2.2 UML ํด๋ž˜์Šค ๋‹ค์ด์–ด๊ทธ๋žจ(Class Diagram) = 6 2.2.1 ํด๋ž˜์Šค(Class)์™€ ์ธํ„ฐํŽ˜์ด์Šค(Interface) = 7 2.2.2 ๊ด€๊ณ„(Relationship) = 8 2.3 UML ๊ฐœ๋ฐœ ๋„๊ตฌ = 10 ์ œ 3 ์žฅ UML ํด๋ž˜์Šค ๋‹ค์ด์–ด๊ทธ๋žจ์˜ ์ €์žฅ ๋ฐ ๊ฒ€์ƒ‰ = 12 3.1 UML ํด๋ž˜์Šค ๋‹ค์ด์–ด๊ทธ๋žจ ๋ณ€ํ™˜ = 12 3.2 ๊ด€๊ณ„ํ˜• ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค ์ƒ์„ฑ ๋ฐ ์ €์žฅ = 17 3.3 UML ํด๋ž˜์Šค ๋‹ค์ด์–ด๊ทธ๋žจ ๊ฒ€์ƒ‰ = 21 ์ œ 4 ์žฅ ๊ตฌํ˜„ ๋ฐ ๊ธฐ์กด ์‹œ์Šคํ…œ๊ณผ์˜ ๋น„๊ต = 23 4.1 ์•Œ๊ณ ๋ฆฌ์ฆ˜ ๋ฐ ์‹œ์Šคํ…œ ํ๋ฆ„๋„ = 23 4.2 ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค ํ…Œ์ด๋ธ” ์ƒ์„ธ ์„ค๊ณ„ = 26 4.3 ์‹œ์Šคํ…œ ๊ตฌํ˜„ = 33 4.4 ๊ธฐ์กด ์‹œ์Šคํ…œ๊ณผ์˜ ๋น„๊ต = 35 ์ œ 5 ์žฅ ๊ฒฐ๋ก  ๋ฐ ํ–ฅํ›„ ์—ฐ๊ตฌ๊ณผ์ œ = 36 ์ฐธ๊ณ  ๋ฌธํ—Œ = 3

    Development of an Auto-Trim Control System for Ro-Ro Ship Carrying Heavy Cargoes

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    In Ro-Ro ship carrying heavy cargoes, it is very important to maintain a certain level of aft draft and the proper trim through the entire loading or discharging process. Some kinds of manual ballast control system have been generally applied so far to this practice in Ro-Ro ship. However, there is need to develop a so-called Auto-Trim Control System using some computer technology to improve the operation of those existing systems. This paper aims at developing an Auto-Trim Control System especially for Ro-Ro ship carrying such heavy cargoes including hot coils and steel plates. The author carried out some systems analysis and design for developing the system by examining and reflecting the practices of the entire loading and discharging process. Then a user-friendly Auto-Trim Control System has been built by interfacing the Valve Remote Control system and Tank Level & Draft Measuring system with itself. The author also provides some excellent results on the performance of the system by reporting the records of installing the system on board 4 Ro-Ro ships.Abstract ์ œ 1 ์žฅ ์„œ๋ก  = 1 1.1 ์—ฐ๊ตฌ์˜ ๋ฐฐ๊ฒฝ = 1 1.2 ์—ฐ๊ตฌ์˜ ๋ชฉ์  = 2 ์ œ 2 ์žฅ ์‹œ์Šคํ…œ์˜ ๊ฐœ์š” = 3 2.1 ์ค‘๋Ÿ‰ํ™”๋ฌผ ์„ ์  Ro-Ro ์„  ํ•˜์—ญ ์ž‘์—…์˜ ๊ธฐ๋ณธ๊ฐœ๋… = 3 2.2 Auto-Trim Control System์˜ ๊ธฐ๋ณธ๊ฐœ๋… = 7 2.3 ์‹œ์Šคํ…œ ๊ตฌ์„ฑ๋„ = 10 ์ œ 3 ์žฅ ์„ ๋ฏธํ˜์ˆ˜ ๋ฐ ํŠธ๋ฆผ ์ œ์–ด ์•Œ๊ณ ๋ฆฌ๋“ฌ์˜ ๊ฐœ๋ฐœ = 11 3.1 ํƒฑํฌ ๋ฐฐ์น˜๋„ = 11 3.2 ํƒฑํฌ ๋ฐฐ์ • ์šฐ์„ ์ˆœ์œ„ = 11 3.3 ํƒฑํฌ ์„ ํƒ ๊ทœ์น™ = 12 ์ œ 4 ์žฅ Auto-trim Control System ๊ฐœ๋ฐœ = 15 4.1 ์‹œ์Šคํ…œ ์†Œํ”„ํŠธ์›จ์–ด ๊ตฌ์„ฑ = 15 4.2 ์‹œ์Šคํ…œ ์„ค๊ณ„ = 16 4.3 ๋ฐธ๋ธŒ ๋ฐ ํŽŒํ”„ ์ž‘๋™ ์ ˆ์ฐจ = 21 4.4 ์‹œ์Šคํ…œ ๊ตฌํ˜„ = 37 ์ œ 5 ์žฅ ํ”„๋กœ๊ทธ๋žจ ์‹คํ–‰ ์˜ˆ = 42 5.1 ํ†ต์‹ ์ƒํƒœ ํ‘œ์‹œ์ค„ = 42 5.2 ์„ ๋ฐ•์ƒํƒœ ํ‘œ์‹œ์ค„ = 44 5.3 ํ”„๋กœ๊ทธ๋žจ ์ž‘๋™ = 45 ์ œ 6 ์žฅ ๊ฒฐ๋ก  = 58 ์ฐธ๊ณ ๋ฌธํ—Œ = 6

    A Study on Flow Zone Development and Botton change gy Propeller Jets from Ships

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    The flow zone through propeller jets is used in evaluating the environmental and constructional effects of navigation on the waterways. Water in this zone can go through the propellers but not all water in this zone will go through the propellers. It relies on the characteristics of ships and water depth. A numerical model using the momentum theory of the propeller and Shield's diagram was developed in a restricted waterway. Equations for discharge are presented based on thrust coefficients and propeller speed and are the most accurate means of defining discharge. Approximate methods for discharge are developed based on applied ship's power. Equations for discharge are as a function of applied power, propeller diameter, and ship speed. Water depth of the waterway and draft of the ship are also necessary for the calculation of the grain size of the initial motion. The velocity distribution of discharge from the propeller was simulated by the Gaussian normal distribution function. The shear velocity and shear stress were from the Sternberg's formula. Case studies to show the influence of significant factors on sediment movement induced by the ship's propeller at the channel bottom are presented. The first case is for large ships passing through the navigation channel and berthing and unberthing at container terminal at Kwang Yang harbor. Eleven ships are considered, including naval ship, tanker and bulk carriers. The second case is for the commercial moving tow and the barge. The combined effects of the propeller jet and the wake flow a moving barge are investigated.๋ชฉ์ฐจ ABSTRACT = i LIST OF TABLES = v LIST OF FIGURES = vi NOMENCLATURE = ix ์ œ1์žฅ ์„œ๋ก  = 1 1.1 ์—ฐ๊ตฌ์˜ ๋ฐฐ๊ฒฝ = 1 1.2 ์—ฐ๊ตฌ์˜ ๋ชฉ์  ๋ฐ ๋‚ด์šฉ = 2 1.3 ์—ฐ๊ตฌ์˜ ๋ฐฉ๋ฒ• = 2 ์ œ2์žฅ ๊ธฐ๋ณธ์ด๋ก  = 5 2.1 ์ถ”์ง„๊ธฐ ๋ฐฐ์ˆ˜๋ฅ˜ ์ด๋ก  = 5 2.1.1 ์ถ”์ง„๊ธฐ ๋ฐฐ์ˆ˜๋ฅ˜์˜ ์†๋„๋ถ„ํฌ = 6 2.1.2 ์ถ”์ง„๊ธฐ์— ์˜ํ•œ ์šด๋™๋Ÿ‰ ์ด๋ก  = 16 2.1.3 ์†๋„๋ถ„ํฌ = 23 2.2 ํ‘œ์‚ฌ ์ˆ˜์†ก์ด๋ก  = 28 2.2.1 ์ด๋ก ์  ๋ฐฐ๊ฒฝ = 28 2.2.2 ์†Œ๋ฅ˜์‚ฌ ์ˆ˜์†ก์ด๋ก  ๋ฐ ๋ฐฉ์ •์‹ = 28 2.2.3 ๋ถ€์œ ์‚ฌ ์ˆ˜์†ก์ด๋ก  ๋ฐ ๋ฐฉ์ •์‹ = 33 2.2.4 ํ‘œ์‚ฌ์ด๋™์˜ ๊ฒฐ์ •์ด๋ก  = 37 ์ œ3์žฅ ์ˆ˜์น˜๋ชจ๋ธ์ˆ˜๋ฆฝ ๋ฐ ์ ์šฉ = 42 3.1 ๋Œ€ํ˜•์„ ๋ฐ•์— ๋Œ€ํ•œ ๋ชจ๋ธ ๊ตฌ์„ฑ = 42 3.1.1 ์‹ค์ œ ์ˆ˜์—ญ๊ณผ ์ œํ•œ์ˆ˜๋กœ์— ๋Œ€ํ•œ ์ ์šฉ = 42 3.1.2 ์ €๋ฉด์ „๋‹จ์‘๋ ฅ์˜ ์‚ฐ์ • = 46 3.2 ์˜ˆ์ธ์„ ์˜ ๋ชจ๋ธ ๊ตฌ์„ฑ = 50 3.2.1 ์ถ”์ง„๊ธฐ ์ œํŠธ์˜ ์œ ์† ์‚ฐ์ • = 51 3.2.2 ์ €๋ฉด ์ „๋‹จ์‘๋ ฅ์˜ ์‚ฐ์ • = 57 ์ œ4์žฅ ์ˆ˜์น˜์‹คํ—˜ ๊ฒฐ๊ณผ ๋ฐ ๋ถ„์„ = 61 4.1 ์ œํ•œ์ˆ˜๋กœ ๋ฐ ๋ถ€๋‘์ „๋ฉด์—์„œ์˜ ์ ์šฉ = 61 4.1.1 ์ œํ•œ์ˆ˜๋กœ์— ๋Œ€ํ•œ ์ ์šฉ = 61 4.1.2 ๋ถ€๋‘ ์ „๋ฉด์— ๋Œ€ํ•œ ์ ์šฉ = 79 4.2 ์˜ˆ์ธ์„ ์— ๋Œ€ํ•œ ์ ์šฉ = 104 4.2.1 ๋Œ€์ƒ์„ ๋ฐ•์˜ ํŠน์„ฑ ๋ฐ ์กฐ๊ฑด = 104 4.2.2 ์ˆ˜์น˜๋ชจํ˜•์˜ ๊ฒ€์ฆ = 105 4.2.3 ์ ์šฉ๊ฒฐ๊ณผ ๋ฐ ๋ถ„์„ = 108 4.3 ์ €๋ฉด๋ณ€ํ˜•์— ๋Œ€ํ•œ ๊ณ ์ฐฐ = 114 ์ œ5์žฅ ๊ฒฐ๋ก  = 120 ์ฐธ๊ณ ๋ฌธํ—Œ = 12

    A Study on the Shock-Safety Assessment for Shipboard Equipments

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    If main equipments are damaged with the shock wave induced by a non-contact underwater explosion, The warship is able to lose easily its fighting ability. A number of researches have been reported the disability is not caused by the damage of hull but caused by that of equipments. Therefore, the main shipboard equipments have required the safety ability test using many kinds of theoretical analysis methods or experimental analysis methods to get safety estimation of shock. So, in this paper the procedure of shock testing and the method of theoretical analysis are investigated. Then, shock ability for starting air compressor in actual shipboard equipment is estimated through the DDAM and the shock testing based on MIL-SPEC standard. Finally, the calculated results and the experimental results are compared to find the reliability of theoretical analysis. The results of this study can be used as a to design shipboard equipments having shock wave.Abstract 1. ์„œ๋ก  = 1 1.1 ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ = 1 1.2 ์—ฐ๊ตฌ ๋ชฉ์  = 3 2. ๋‚ด์ถฉ๊ฒฉ ์„ฑ๋Šฅํ‰๊ฐ€ = 5 2.1 ํ•จ์ •์šฉํƒ‘์žฌ ์žฅ๋น„์˜ ๋‚ด์ถฉ๊ฒฉ ์š”๊ตฌ์กฐ๊ฑด = 5 2.2 ์‹œํ—˜์  ํ‰๊ฐ€๋ฐฉ๋ฒ• = 7 2.3 ํ•ด์„์  ๋‚ด์ถฉ๊ฒฉ ์„ฑ๋Šฅ ํ‰๊ฐ€๋ฐฉ๋ฒ• = 17 2.3.1 DDAM = 18 3. ๋Œ€์ƒ์žฅ๋น„์˜ DDAM์„ ์ด์šฉํ•œ ๋‚ด์ถฉ๊ฒฉ ์„ฑ๋Šฅ ํ•ด์„๊ฒฐ๊ณผ = 43 3.1 ๋Œ€์ƒ์žฅ๋น„ ์ฃผ์š”์‚ฌ์–‘ = 43 3.2 ๋Œ€์ƒ์žฅ๋น„์˜ ์ถฉ๊ฒฉํ•ด์„ ๊ธฐ์ค€ = 43 3.3 ๋Œ€์ƒ์žฅ๋น„ ๋ชจ๋ธ๋ง = 45 3.4 ์œ„ํ—˜๋ถ€์œ„ ์„ ์ • = 48 3.5 ์ž์œ ์ง„๋™ ํ•ด์„ = 49 3.6 ์ถฉ๊ฒฉ์‘๋‹ต ํ•ด์„ ๋ฐ ์‘๋ ฅ๊ณ„์‚ฐ = 51 4. ์‹คํ—˜์  ๋ฐฉ๋ฒ•์— ์˜ํ•œ ๋Œ€์ƒ์žฅ๋น„์˜ ๋‚ด์ถฉ๊ฒฉ ์„ฑ๋Šฅํ‰๊ฐ€ ๊ฒฐ๊ณผ = 57 4.1 ๋‚ด์ถฉ๊ฒฉ ์‹œํ—˜์กฐ๊ฑด = 57 4.2 ๋‚ด์ถฉ๊ฒฉ ์‹œํ—˜๋ฐฉ๋ฒ• = 58 4.3 ๋‚ด์ถฉ๊ฒฉ ์„ฑ๋Šฅ์‹œํ—˜ ๊ฒฐ๊ณผ = 60 5. ๊ฒฐ๋ก  = 61 ์ฐธ๊ณ ๋ฌธํ—Œ = 6

    A Study on the Fingerprint Recognition Method Directional Feature Detection using Neural Networks

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    Fingerprint-based identification is known to be used for a very long time. Owing to their uniqueness and immutability, fingerprints are today the most widely used biometric features. Therefore, recognition using fingerprints is one of the safest methods as a way of personal identification. In this paper, a fingerprint identification method using neural networks and the direction feature vectors based on the directional image extracted from gray-scale fingerprint image without binarization and thinning is proposed. The basic idea of the above mentioned method is to track the ridge lines on the gray-scale image, by ๏ผŸailing according to the local orientation of the ridge pattern. A set of starting points are determined by superimposing a grid on the gray-scale image. A labeling strategy is adopted to examine each ridge line only once and locate the intersections between ridge lines. After the direction feature vectors are consisted of vectors by four direction labeling. Matching method used in this paper is four direction feature vectors based matching. The experiment are used total 124 feature patterns of four fingerprints, and One fingerprint image is consisted of 31 feature patterns. The results is presented excellent recognition capability of learned fingerprint images.Abstract(Korean) = 2 Abstract(English) = 3 Chapter 1 Introduction = 4 Chapter 2 Neural networks = 6 2.1 Introduction of neural networks = 6 2.2 Investigation between biological and artificial neuron = 7 2.3 Learning and structure of multilayer neural network = 10 2.4 Multilayered neural networks used experimental = 14 Chapter 3 Fingerprint recognition = 15 3.1 Direction feature vector detection = 15 3.2 Tangent direction computation = 18 3.3 Four direction labeling and pattern detection = 20 Chapter 4 Experimental results = 25 4.1 Experimental environment and method = 25 4.2 Experimental results = 29 Chapter 5 Conclusion = 40 References = 4

    ๅคงๅญธ้™ขๅœ‹่ชžๆ•Ž่‚ฒ็ง‘ ๆ•Ž่‚ฒ่ชฒ็จ‹ ็ก็ฉถ

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    ไบบ้–“์˜ ์„ฑ์žฅ๊ณผ ๋ฐœ๋‹ฌ์„ ํŠน์ •ํ•œ ๆ–นๅ‘์œผ๋กœ ์•ˆ๋‚ดํ•˜๊ณ  ์ง€๋„ํ•œ๋‹ค๋Š” ์ ์—์„œ ๆ•Ž่‚ฒ์€ ๋ถ„๋ช…ํžˆ ์˜๋„์ ์ธ ํ–‰๋™์ด๋‹ค. ๊ทธ๋ฆฌ๊ณ  ์˜๋„ํ•œ ๊ฒฐ๊ณผ๋ฅผ ๋‚ณ๊ฒŒํ•˜๊ธฐ ์œ„ํ•˜์—ฌ ๅ…งๅฎน๊ณผ ๆ–นๆณ•๊ณผ ็ฏ€ๆฌก์™€ ็ต„็น”์„ ๊ตฌ์ƒ ํ•œ๋‹ค๋Š” ๆ•Ž่‚ฒ์€ ๋˜ํ•œ ๊ณ„ํš์ ์ธ ํ–‰์œ„๋‹ค. ๆ•Ž่‚ฒ่€…, ์ฆ‰ ๆ•Žๅธซ๋Š” ์ด ํ–‰์œ„์˜ ์ฃผ๋„์ž์ด๋ฉฐ ๋งก์€ ๋ถ„์•ผ์— ๋Œ€ํ•˜์—ฌ ๊ทธ ๆ•Ž่‚ฒๅ…งๅฎน ยท ๆ–นๆณ• ยท ็ฏ€ๆฌก ๋ฐ ็ต„็น”์— ๋Šฅํ†ตํ•ด์•ผ ํ•œ๋‹ค. ์ฆ‰ ํŠน์ • ๊ณผ๋ชฉ์˜ ๆ•Žๅธซ๋Š” ๋‹ด๋‹น๊ต๊ณผ ์ „๋ฐ˜์— ๊ด€ํ•œ ๊ฐš๊ณ ๋„ ๋„“์€ ์ง€์‹๊ณผ ์ด์˜ ํšจ๊ณผ์  ์ „๋‹ฌ์„ ์œ„ํ•œ ๆ–นๆณ•์˜ ๏งค่ซ–๊ณผ ๅฏฆ้š›์— ์ •ํ†ตํ•ด์•ผ ํ•œ๋‹ค๋Š” ๊ฒƒ์ด๋‹ค. ๋˜ ์˜ค๋Š˜๋‚ ์˜ ๆ•Ž่‚ฒ์ด ๋Œ€๋ถ€๋ถ„ ๅญธๆ ก๋ผ๋Š” ๅ…ฌๅผๆ•Ž่‚ฒๆฉŸ้—œ์„ ํ†ตํ•ด ์ด๋ฃจ์–ด์ง€๊ณ  ์žˆ๊ณ  ์ •๋ถ€๊ฐ€ ๋งˆ๋ จํ•˜๋Š” ๆ•Ž่‚ฒๆ”ฟ็ญ–์— ์˜ํ•ด ์šด์˜๋˜๊ณ  ์žˆ๋Š” ๋ฐ”, ๆ•Žๅธซ๋Š” ์ด ๋ถ„์•ผ์— ๋Œ€ํ•ด์„œ๋„ ํ•ด๋‹น ๊ต๊ณผ์— ๊ด€ํ•œ ํ•œ ์ถฉ๋ถ„ํ•œ ์ง€์‹์„ ๊ฐ€์ ธ์•ผ ํ•œ๋‹ค. ๆ•Žๅธซ๋Š” ์ถฉ๋ถ„ํ•œ ๅ‰่ทๆ•Ž่‚ฒ์„ ๋ฐ›๊ณ  ๊ต๋‹จ์— ์„œ๋Š” ๆ•Ž่‚ฒๅฐˆ้–€ๅฎถ์ด๋‹ค. ๊ทธ๋Š” ๅ…ฌๅผๆ•Ž่‚ฒ์˜ ์ผ๋ถ€๋ฅผ ๊ธฐํš ยท ์‹ค์ฒœํ•˜๋Š” ์‹ค์ฒœ์ธ์ด๋ฉฐ ํ–‰๋™๊ฐ€์ด๋‹ค. ๊ทธ๋Š” ์‹ค์ฒœ์ธ ํ–‰๋™์ธ์œผ๋กœ์จ ๊ทธ์˜ ํ–‰๋™์— ์˜ํ–ฅ์„ ์ฃผ๋Š” ์ œ๋ฐ˜ ์‚ฌํ•ญ์— ๊ด€ํ•œ ํ•™๋ฌธ์  ยท ๊ธฐ์ˆ ์  ยท ๊ต์–‘์  ๊ธฐ์ดˆ๋ฅผ ๊ฐ€์ง€๊ณ  ์žˆ์–ด์•ผ ํ•œ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์—„๋ฐ€ํžˆ ๋งํ•ด์„œ ๊ต์‚ฌ๋Š” ์ž์‹ ์ด ๊ฐ€๋ฅด์น˜๋Š” ๊ต๊ณผ์˜ ๋‚ด์šฉ์ด๋‚˜ ๊ต์ˆ˜๋ฒ• ์ž์ฒด์— ๋Œ€ํ•œ ์ „๋ฌธ๊ฐ€๋Š” ์•„๋‹ˆ๋‹ค. ์ž์—ฐ์ธ์œผ๋กœ์„œ์˜ ์–ด๋Š ๊ตญ์–ด๊ณผ ๆ•Žๅธซ๊ฐ€ ๆ–‡ๅญธๆ‰น่ฉ•์ด๋‚˜ ๆ•Ž่‚ฒๅญธ์˜ ๅฐˆ้–€ๅฎถ์ผ ์ˆ˜๋Š” ์žˆ์œผ๋‚˜ ์ด๋“ค์€ ๊ฐ๊ธฐ ๋‹ค๋ฅธ ์—ญํ•  ๊ธฐ๋Œ€๋ฅผ ๊ฐ–๋Š”๋‹ค. ๋ฐ”๊พธ์–ด ๋งํ•ด์„œ ๆ•Žๅธซ๋Š” ์‹ค๋ฌด์  ์ฑ…์ž„์„ ์ง„ ์‘์šฉ๊ณผํ•™์ž์ธ ์…ˆ์ด๋‹ค. ์ด๊ฐ™์€ ๆ•Žๅธซ์˜ ์–‘์„ฑ์„ ์ฑ…์ž„์ง„ ๊ณณ์ด ๅธซ็ฏ„ๅคงๅญธ์ด๋‹ค. ํ˜„ํ–‰ ๆ•Ž่‚ฒๆณ•์€ ์ด๋ธ” ๋‹ค์Œ๊ณผ ๊ฐ™์ด ์ •์˜ํ•˜๊ณ  ์žˆ๋Š” ๋ฐ”, ๅคงๅญธ้™ขๆ•Ž่‚ฒ์ด ๅคงๅญธๆ•Ž่‚ฒ์˜ ์—ฐ์žฅ ยท ์‹ฌํ™” ยท ํ™•๋Œ€๋ผ๊ณ  ๋ณผ ๋•Œ ๆ•Ž่‚ฒๅคงๅญธ้™ข์˜ ์„ค๋ฆฝ ์ทจ์ง€ ๋˜ํ•œ ์ด์— ์ค€ํ•œ๋‹ค๊ณ  ๋ณผ ์ˆ˜ ์žˆ์„ ๊ฒƒ์ด๋‹ค.ๆœฌ ่ซ–ๆ–‡์€ 1980ๅนดๅบฆ ๆ–‡ๆ•Ž้ƒจ ๅญธ่ก“็ก็ฉถ ๅŠฉๆˆ่ฒป์— ไพํ•œ ็ก็ฉถ่ซ–ๆ–‡์ž„

    (A) Study on Fluid Characteristics in the Wake of Bluff Bodies by Multivision PIV

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    Time-resolved analyses of the wake characteristics of two-dimensional bluff body flows have been executed by applying the multivision PIV to square prism (angle of attacks:0ใ€‚, 30ใ€‚), circular cylinders (rotating speed :0 rpm, 76 rpm) and airfoils (fixed, pitching) submerged in a circulating water channel (Re=10โด). The macroscopic shedding patterns and their dominant frequencies were discussed in terms of instantaneous velocity, vorticity and turbulent quantities such as turbulence intensity, turbulent kinetic energy and three Reynolds stresses. In this study, more realistic animation of flow patterns has been exploited by adopting the multivision PIV with three input CCD cameras to obtain an expanded measurement wake region. Quantitative frequency analysis was also carried out with the conventional PIV with single CCD camera. Particularly, the time-averaged distribution of turbulent intensity in all experimental cases revealed separate island-like small regions where the magnitude of turbulent intensity was always strengthened. The dominant shedding frequencies of the turbulent quantities in the wake regions were two times larger than those of the velocity and vorticity.Abstract = โ…ฐ Nomenclature = โ…ฒ ์ œ1์žฅ ์„œ๋ก  = 1 1.1 ์—ฐ๊ตฌ์˜ ๋ฐฐ๊ฒฝ ๋ฐ ์—ฐ๊ตฌ๋ชฉ์  = 1 1.2 PIV์˜ ๊ฐœ์š” = 3 1.3 Multivision PIV์˜ ๊ฐœ์š” = 6 ์ œ2์žฅ ์‹คํ—˜ = 8 2.1 ์‹คํ—˜์žฅ์น˜ = 8 2.2 ๊ท ์ผ์œ ์ž… ์†๋„ํ™•์ธ = 14 2.3 PIV ์‹œ์Šคํ…œ์˜ ๊ตฌ์„ฑ = 16 2.3.1 ์กฐ๋ช… ๋ฐ ์ถ”์ ์ž…์ž = 16 2.3.2 ์˜์ƒ์ž…๋ ฅ ๋ฐ ์ €์žฅ์žฅ์น˜ = 17 2.3.3 ์ด๋ฏธ์ง€๋ณด์˜ค๋“œ = 19 2.3.4 ์›ํ†ตํ˜• ๋ Œ์ฆˆ = 20 ์ œ3์žฅ ์˜์ƒ์ฒ˜๋ฆฌ = 22 3.1 ์ „์ฒ˜๋ฆฌ = 22 3.2 ๋™์ผ์ž…์ž ์ถ”์  = 28 3.3 ํ›„์ฒ˜๋ฆฌ = 36 ์ œ4์žฅ ๊ฒฐ๊ณผ ๋ฐ ๊ฒ€ํ†  = 37 4.1 ์˜์ƒ์˜ ํ•ฉ์„ฑ = 37 4.2 ์†๋„๋ฒกํ„ฐ, ์œ ์„  ๋ฐ ์†๋„ํ”„๋กœํŒŒ์ผ = 40 4.3 ๋‚œ๋ฅ˜๊ฐ•๋„ = 50 4.4 ์ œ๋ฐ˜ ์œ ๋™ํŠน์„ฑ = 55 4.5 ์‹œ๊ฐ„ํ‰๊ท  ๋ฐ์ดํ„ฐ ๋ถ„์„ = 58 4.6 ์ฃผํŒŒ์ˆ˜ ๋ถ„์„ = 63 ์ œ5์žฅ ๊ฒฐ๋ก  = 72 ์ฐธ๊ณ ๋ฌธํ—Œ = 74 ๊ฐ์‚ฌ์˜ ๊ธ€ = 7

    ํด๋ผ์ด์ŠคํŠธ์˜ ํฌ๊ณก ใ€Žํ—ค๋ฅด๋งŒ์˜ ์ „์Ÿใ€ ์—ฐ๊ตฌ

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    ใ€Žํ—ค๋ฅด๋งŒ์˜ ์ „์Ÿใ€(Die Hermannsschlacht. Ein Drama)์€ ๊ฒŒ๋ฅด๋งŒ ๋ฏผ์กฑ์˜ ์˜์›… ์•„๋ฅด๋ฏธ๋‹ˆ์šฐ์Šค(Arminius)๊ฐ€ ๊ทธ์˜ ๋™์กฑ์„ ๋กœ๋งˆ์˜ ์ง€๋ฐฐ์—์„œ ํ•ด๋ฐฉํ•˜๋Š” ๊ณผ์ •์„ ๋‹ด๊ณ  ์žˆ๋‹ค. ์ด ์ž‘ํ’ˆ์€ ํ”ํžˆ ์‚ฌ๊ทน(ๅฒๅŠ‡)์ด๋ผ๊ณ  ๋ถˆ๋ฆฌ์ง€๋งŒ ์‚ฌ์‹ค์— ์ถฉ์‹คํ•œ ๊ฒƒ์€ ์•„๋‹ˆ๋‹ค. ์˜คํžˆ๋ ค ์ด ์ž‘ํ’ˆ์€ ๋‚˜ํด๋ ˆ์˜น ์ „์Ÿ์œผ๋กœ ์ธํ•œ ํ”„๋กœ์ด์„ผ์˜ ๊ตญ๋‚œ์„ ๊ทน๋ณตํ•˜๊ธฐ ์œ„ํ•ด์„œ ๋…์ผ๋ฏผ์กฑ์ด ๊ฒฐ์†ํ•  ๊ฒƒ์„ ํ˜ธ์†Œํ•˜๋Š” ์ •์น˜์ ์ธ ์˜๋„๋ฅผ ๊ฐ–๊ณ  ์žˆ๋‹ค. ๋‹ค์‹œ ๋งํ•˜๋ฉด ํด๋ผ์ด์ŠคํŠธ๋Š” ๋‹จ์ˆœํ•œ ์—ญ์‚ฌ๊ทน์„ ์“ฐ๋ คํ•œ ๊ฒƒ์ด ์•„๋‹ˆ๋ผ๏ผŒ ํ”„๋กœ์ด์„ผ์— ๋Œ€ํ•œ ๋‚˜ํด๋ ˆ์˜น์˜ ์ •์น˜์  ์•ผ๋ง์„ ๋ถ„์‡„ํ•˜๊ณ  ๊ทธ์— ๋Œ€ํ•œ ์ฆ์˜ค์‹ฌ์„ ๋ถˆ๋Ÿฌ์ผ์œผ์ผœ ๋…์ผ๊ตญ๋ฏผ์˜ ์• ๊ตญ์‹ฌ์„ ๊ณ ์ทจ์‹œํ‚ค๋ ค๋Š” ๊ฒƒ์„ ์—ผ๋‘์— ๋‘์—ˆ๋˜ ๊ฒƒ์ด๋‹ค
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