31 research outputs found

    A Study on Design and Implementation of on AIS AtoN System for E-Navigation Service

    Get PDF
    In this thesis, as the initial stage of e-Navigation which provides integrated aids to navigation management and information services, โ€œa Korea Aids to Navigation Information Service Network (KANISNET)โ€ based on the basic technique of AIS AtoN is designed and implemented. KANISNET network service can be used to configure the available AIS channels information on the network. Though a complex hierarchical structure, land infrastructure, service infrastructure should be integrated in internal network with other wireless network configurations such as AIS, WCDMA, GSM, WIFI, WiBro, VSAT and etc. To do this, an embedded AIS AtoN system which consists of a very low power AIS receiver modem, a microcontroller-based control unit and power regulated system is suggested. The embedded AIS AtoN is capable of receiving weather information, being remotely commanded by defined message, transmission and reception of system status, and synchronizes the flashing of multiple lamps using a GPS timing pulse. In addition, the embedded system is designed to support interfacing with external GPS, monitoring power consumption and sensor status, extended diagnostic and configuration of the system. An experiment for the developed AIS AtoN is conducted to verify all the collection data, system status and the transceiver features. AIS-based vesselโ€™s electronic chart with integrated vessel information has been developed to display and analyze vessel route.Abstract i List of Figures iv List of Tables vi ์ œ 1 ์žฅ ์„œ๋ก  1 1.1 ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ 1 1.2 ์—ฐ๊ตฌ ๋‚ด์šฉ 5 ์ œ 2 ์žฅ AIS AtoN ์†Œ๊ฐœ 7 2.1 ๊ธฐ์กด ํ•ญ๋กœํ‘œ์ง€ ์ง‘์•ฝ๊ด€๋ฆฌ 7 2.2 ํ•ญ๋กœํ‘œ์ง€์šฉ ์ž๋™์‹๋ณ„์žฅ์น˜(AIS AtoN) 9 2.3 ๊ตญ์™ธ ์—ฐ๊ตฌ ๊ฐœ๋ฐœ ํ˜„ํ™ฉ 21 ์ œ 3 ์žฅ ์‹œ์Šคํ…œ ์„ค๊ณ„ ๋ฐ ๊ตฌํ˜„ 28 3.1 ํ•ญ๋กœํ‘œ์ง€ ํ†ต์‹ ๋ง ์ œ์•ˆ 28 3.2 AIS AtoN ํ†ต์‹  ํ”„๋กœํ† ์ฝœ ๋ถ„์„ ๋ฐ ์„ค๊ณ„ 31 3.3 AIS AtoN ์‹œ์Šคํ…œ ํ•˜๋“œ์›จ์–ด ์„ค๊ณ„ ๋ฐ ๊ตฌํ˜„ 40 3.4 ํ•ญ๋กœํ‘œ์ง€ ํ†ตํ•ฉ์ •๋ณดํ‘œ์‹œ ์†Œํ”„ํŠธ์›จ์–ด ์„ค๊ณ„ ๋ฐ ๊ตฌํ˜„ 53 ์ œ 4 ์žฅ ์‹คํ—˜ ๋ฐ ๊ฒ€ํ†  57 4.1 ๊ฐœ๋ฐœ ํ™˜๊ฒฝ 57 4.2 AIS AtoN ์‹œ์Šคํ…œ ํ•˜๋“œ์›จ์–ด ์‹คํ—˜ 58 4.3 ํ•ญ๋กœํ‘œ์ง€ ํ†ตํ•ฉ์ •๋ณดํ‘œ์‹œ ์†Œํ”„ํŠธ์›จ์–ด ์‹คํ—˜ 67 ์ œ 5 ์žฅ ๊ฒฐ๋ก  71 ์ฐธ๊ณ  ๋ฌธํ—Œ 7

    Factors affecting the work commitment and the job satisfaction of a employee working for dental institutes in the Seoul metropo

    No full text
    ์น˜์˜ํ•™๊ณผ/๋ฐ•์‚ฌ[ํ•œ๊ธ€]์น˜๊ณผ ์˜๋ฃŒ ์„œ๋น„์Šค์— ๋Œ€ํ•œ ์ˆ˜์š”๋Š” ์ง€์†์ ์œผ๋กœ ์ฆ๊ฐ€ํ•˜๊ณ  ์žˆ์œผ๋ฉฐ, ๋˜ํ•œ ์ด ๋ถ„์•ผ์— ์ข…์‚ฌํ•˜๋Š” ์ธ๋ ฅ์€ ์ง€์†์ ์œผ๋กœ ์ฆ๊ฐ€ํ•˜๊ณ  ์žˆ๋Š” ์‹ค์ •์ด๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ๋†’์€ ์ด์ง๋ฅ  ๋“ฑ์œผ๋กœ ์ธํ•ด ์ธ๋ ฅ ๋ถ€์กฑํ˜„์ƒ์ด ์ง€์†๋˜์–ด ์–‘์งˆ์˜ ๊ตฌ๊ฐ•๋ณด๊ฑด์„œ๋น„์Šค๋ฅผ ์ œ๊ณตํ•˜๋Š”๋ฐ ์–ด๋ ค์›€์ด ์žˆ์–ด ์™”๋‹ค. ์ด๋Ÿฌํ•œ ์ธ๋ ฅ๋ถ€์กฑํ˜„์ƒ์€ ๋ณด์ˆ˜๋ฌธ์ œ, ์—ด์•…ํ•œ ๊ทผ๋ฌดํ™˜๊ฒฝ, ์น˜๊ณผ ์ข…์‚ฌ์ž๋“ค ๊ฐ„์˜ ๊ฐˆ๋“ฑ์œผ๋กœ ์ง๋ฌด๋งŒ์กฑ๋„๊ฐ€ ๋‚ฎ์œผ๋ฉฐ, ์ด๋Ÿฌํ•œ ๋‚ฎ์€ ์ง๋ฌด๋งŒ์กฑ๋„๋Š” ๋†’์€ ์ด์ง์œจ๊ณผ ์—ฐ๊ด€๋  ์ˆ˜ ์žˆ๋‹ค.์ผ๋ฐ˜์ ์œผ๋กœ, ์ง๋ฌด๋งŒ์กฑ์ด๋ž€ ์กฐ์ง์˜ ํšจ๊ณผ๋ฅผ ๊ฒฐ์ •ํ•˜๋Š”๋ฐ ๊ฒฐ์ •์ ์ธ ์š”์ธ์œผ๋กœ ๋งํ•  ์ˆ˜ ์žˆ์„ ๊ฒƒ์ด๋‹ค. ์ด์™€ ์—ฐ๊ด€๋œ ์š”์ธ์œผ๋กœ๋Š” ์—…๋ฌด์— ๋Œ€ํ•œ ์ •์‹ ์ ์ธ ๋„์ „์˜์‹, ๊ธ‰์—ฌ ๋ฐ ์Šน์ง„๊ณผ ๊ด€๋ จ๋œ ๊ณต์ •ํ•œ ๋ณด์ƒ, ํ˜‘์กฐ์ ์ธ ๊ทผ๋ฌดํ™˜๊ฒฝ, ๊ทธ๋ฆฌ๊ณ  ํ˜‘์กฐ์ ์ธ ๋™๋ฃŒ ๋“ฑ์ด๋‹ค.์กฐ์ง ๊ตฌ์„ฑ์›๋“ค์€ ๊ธฐ์ˆ ๊ณผ ๋Šฅ๋ ฅ์„ ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ๋Š” ๊ธฐํšŒ, ์ง๋ฌด์˜ ๋‹ค์–‘์„ฑ๊ณผ ์ž์œ ๋กœ์›€, ๊ทธ๋ฆฌ๊ณ  ์—…๋ฌด์— ๋Œ€ํ•ด ํ™˜๋ฅ˜๋ฅผ ์ œ๊ณตํ•ด์ฃผ๋Š” ์—…๋ฌด๋ฅผ ์„ ํ˜ธํ•˜๋Š” ๊ฒฝํ–ฅ์ด ์žˆ์œผ๋ฉฐ ๊ฐœ์ธ์ ์ธ ์•ˆ๋ฝ๊ฐ๊ณผ ์—…๋ฌด๋ฅผ ์ด‰์ง„ํ•  ์ˆ˜ ์žˆ๋Š” ๊ทผ๋ฌดํ™˜๊ฒฝ์— ๋Œ€ํ•ด ๊ด€์‹ฌ์„ ๊ฐ€์ง€๊ณ  ์žˆ๋‹ค. ๊ทธ๋ฆฌ๊ณ  ๋‹จ์ง€ ๊ธˆ์ „์ด๋‚˜ ๋ฌผ์งˆ์ ์ธ ์„ฑ์ทจ ์ด์ƒ์˜ ์‚ฌํšŒ์ ์ธ ๊ด€๊ณ„์— ๋Œ€ํ•œ ์š•๊ตฌ๋ฅผ ์ถฉ์กฑํ•˜๋ ค๊ณ  ํ•œ๋‹ค.์ง๋ฌด์˜ ๋งŒ์กฑ์€ ์ƒ์‚ฐ์„ฑ, ์กฐ์ง์—์˜ ํ—Œ์‹ ์— ์˜ํ–ฅ์„ ์ค€๋‹ค. ์ดˆ๊ธฐ์—๋Š” โ€œํ–‰๋ณตํ•œ ๊ตฌ์„ฑ์›์€ ์ƒ์‚ฐ์ ์ธ ๊ตฌ์„ฑ์›์ด๋‹คโ€๋ผ๋Š” ๊ฒƒ์œผ๋กœ ์ด๋“ค ๊ฐ„์˜ ๊ด€๊ณ„๋ฅผ ์š”์•ฝํ•˜์˜€๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์ด๋Š” ๊ฐœ๋…์ ์ธ ์—ฐ๊ด€์„ฑ์— ๊ทผ๊ฑฐ๋ฅผ ๋‘” ๊ฒƒ์ด์—ˆ๋‹ค. ์ด ํ›„์˜ ์—ฐ๊ตฌ๋“ค์—์„œ ์ง๋ฌด๋งŒ์กฑ์€ ์ƒ์‚ฐ์„ฑ์— ๊ธ์ •์ ์ธ ํšจ๊ณผ๋ฅผ ๊ฐ€์ง€๊ณ  ์žˆ์œผ๋‚˜, ์ด๊ฒƒ์˜ ํšจ๊ณผ๋Š” ๊ทธ๋ ‡๊ฒŒ ํฌ์ง€ ์•Š์€ ๊ฒƒ์œผ๋กœ ๋ณด๊ณ ๋˜์—ˆ์œผ๋ฉฐ, ํ˜„์žฌ๋Š” ์ƒ์‚ฐ์„ฑ์€ ๋‹ค๋ฅธ ์š”์ธ๋“ค๋ณด๋‹ค๋Š” ๋งŒ์กฑ๋„์— ์˜ํ•ด ์œ ๋„๋œ๋‹ค๋Š” ๊ฒฐ๋ก ์„ ์–ป์—ˆ๋‹ค.์ง์›๋“ค ๋˜๋Š” ์กฐ์ง ๊ตฌ์„ฑ์›๋“ค์˜ ์ง๋ฌด๋งŒ์กฑ๋„๋Š” ๋‹ค์–‘ํ•œ ์š”์†Œ์— ์˜ํ•ด ์˜ํ–ฅ์„ ๋ฐ›๊ณ  ์žˆ๋‹ค. ๊ทธ๋ฆฌ๊ณ  ์ด์™€ ๋”๋ถˆ์–ด ๊ฒฝ์˜์ž ๋˜๋Š” ๊ด€๋ฆฌ์ž์˜ ๊ด€๋ฆฌ ํ˜•ํƒœ์— ๋”ฐ๋ผ์„œ๋„ ์˜ํ–ฅ์„ ๋ฐ›๊ฒŒ ๋œ๋‹ค. ์ด๋Ÿฌํ•œ ๊ฒƒ๊ณผ ๊ด€๋ จ๋œ ๋™๊ธฐ๋ถ€์—ฌ์ด๋ก  ์ค‘ ํ•˜๋‚˜๊ฐ€ McGregor๊ฐ€ ์ œ์‹œํ•œ X-Y์ด๋ก ์ด๋‹ค.๋”ฐ๋ผ์„œ ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์ง๋ฌด๋งŒ์กฑ์— ์˜ํ–ฅ์„ ์ฃผ๋Š” ๊ฒƒ์œผ๋กœ ์•Œ๋ ค์ง„ ์š”์†Œ๋“ค๊ณผ ๋˜ํ•œ ๊ฒฝ์˜์ž๋“ค์ด ๋™๊ธฐ๋ถ€์—ฌ๋ฅผ ์œ„ํ•ด ๋ถ€ํ•˜์ง์›์— ๋Œ€ํ•ด ๊ฐ€์ง€๊ณ  ์žˆ๋Š” ๊ฒฌํ•ด๋ฅผ ์ข…ํ•ฉํ•˜์—ฌ ์–ด๋– ํ•œ ๋ถ€๋ถ„์ด ์น˜๊ณผ ์˜๋ฃŒ๊ณ„์— ์ข…์‚ฌํ•˜๋Š” ์ง์›๋“ค์—๊ฒŒ ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š”๊ฐ€๋ฅผ ๊ทœ๋ช…ํ•˜๊ณ ์ž ํ•˜์˜€๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ์„ ํ–‰์—ฐ๊ตฌ์™€๋Š” ๋‹ฌ๋ฆฌ, ๊ณผ์ •์ด๋ก ์—์„œ ์ œ์‹œํ•œ ์ง๋ฌด ์ž์ฒด์— ๋Œ€ํ•œ ์š”์†Œ์™€ ์ž„ํŒŒ์›Œ๋จผํŠธ, ๊ทธ๋ฆฌ๊ณ  ์กฐ์ง์— ๋Œ€ํ•œ ๊ฒฌํ•ด๋“ค์€ ๋…๋ฆฝ๋ณ€์ˆ˜๋กœ ํ•˜๊ณ , ์ง์›๋“ค์ด ๊ฐ€์ง€๊ณ  ์žˆ๋Š” ์ง๋ฌด๋งŒ์กฑ๊ณผ ์ง๋ฌด๋ชฐ์ž…์— ๋Œ€ํ•œ ๋ถ€๋ถ„์„ ์ข…์†๋ณ€์ˆ˜๋กœ ํ•˜์—ฌ, ๋…๋ฆฝ๋ณ€์ˆ˜ ์ค‘ ์–ด๋– ํ•œ ์š”์ธ์ด ์ง๋ฌด๋งŒ์กฑ์— ๋” ํฌ๊ฒŒ ์˜ํ–ฅ์„ ๋ฏธ์น˜๋ฉฐ, ๋˜ํ•œ ์ง๋ฌด๋งŒ์กฑ์ด ์ง๋ฌด๋ชฐ์ž…์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š”๊ฐ€๋ฅผ ํ™•์ธํ•˜์˜€๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ์˜ ๋ณ€์ˆ˜๋“ค์€ ์กฐ์ง์˜ ๋‚ด์žฌ์  ์š”์ธ์œผ๋กœ ์ž„๊ธˆ ๋ฐ ์Šน์ง„์ •์ฑ…, ์—…๋ฌด์ˆ˜ํ–‰๋ฐฉ์‹, ์ž„ํŒŒ์›Œ๋จผํŠธ, ์กฐ์ง์˜ ์™ธ์žฌ์  ์š”์ธ์œผ๋กœ ์กฐ์ง์˜ ์‚ฌ๋ช…๊ณผ ๋น„์ „์˜ ๋ช…ํ™•ํ™” ๊ทธ๋ฆฌ๊ณ  ๊ด€๋ฆฌ์ž์˜ ๋ถ€ํ•˜์— ๋Œ€ํ•œ ๊ฒฌํ•ด๋กœ์จ X-Y ํ˜•์— ๊ด€ํ•œ ์งˆ๋ฌธ์œผ๋กœ ๋…๋ฆฝ๋ณ€์ˆ˜๋ฅผ ๊ตฌ์„ฑํ•˜์˜€๊ณ , ๋˜ํ•œ ์ง๋ฌด๋งŒ์กฑ๋„์™€ ์ง๋ฌด๋ชฐ์ž…์— ๋Œ€ํ•œ ์งˆ๋ฌธ์„ ์ข…์†๋ณ€์ˆ˜๋กœ์„œ ๊ตฌ์„ฑํ•˜์˜€๋‹ค. ๊ทธ๋ฆฌ๊ณ  ๊ธฐํƒ€ ์ธ๊ตฌํ†ต๊ณ„ํ•™์  ๋ณ€์ˆ˜๋ฅผ ํฌํ•จํ•˜์—ฌ ๋ถ„์„ํ•˜์˜€๋‹ค.๋ณธ ๋…ผ๋ฌธ์˜ ์—ฐ๊ตฌ๋ชจํ˜•์„ ๊ฒ€์ •ํ•˜๊ธฐ ์œ„ํ•˜์—ฌ ์ „์ฒด 250๋ถ€์˜ ์„ค๋ฌธ์ง€๊ฐ€ ๋ฐฐํฌ๋˜์—ˆ์œผ๋ฉฐ, 171๋ช…(68.4%)์˜ ์„ค๋ฌธ์ง€๋ฅผ ์ˆ˜๊ฑฐํ•˜์˜€๋‹ค. ๊ฒฐ์ธก์น˜๊ฐ€ ๋งŽ์€ ์„ค๋ฌธ์ง€๋ฅผ ์ œ์™ธํ•˜๊ณ  168๋ถ€(67.2%)๊ฐ€ ์—ฐ๊ตฌ๋ชจํ˜•๊ฒ€์ •์„ ์œ„ํ•ด ์‚ฌ์šฉ๋˜์—ˆ๋‹ค.๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์—ฐ๊ตฌ๋ชจํ˜•์˜ ์ธ๊ณผ๋ถ„์„์„ ๊ฒ€์ •ํ•˜๊ณ ์ž ํ•˜๋ฉฐ, ์š”์ธ๋ถ„์„์€ ์ธ๊ณผ๋ชจํ˜•์˜ ๋…๋ฆฝ๋ณ€์ˆ˜์— ํ•ด๋‹นํ•˜๋Š” ๋ถ€๋ถ„๊ณผ ์ข…์†๋ณ€์ˆ˜์— ํ•ด๋‹นํ•˜๋Š” ๋ถ€๋ถ„์œผ๋กœ ๋‚˜๋ˆ„์–ด ์‹ค์‹œํ•˜์˜€๋‹ค.๋…๋ฆฝ๋ณ€์ˆ˜์— ํ•ด๋‹นํ•˜๋Š” ๋ถ€๋ถ„์— ๋Œ€ํ•œ ์š”์ธ๋ถ„์„ ๊ฒฐ๊ณผ, ๋ช‡ ๊ฐœ์˜ ๋ฌธํ•ญ์„ ์‚ญ์ œํ•œ ํ›„ ๊ณ ์œ ์น˜๊ฐ€ 1 ์ด์ƒ์ด๋ฉฐ ์ „์ฒด ๋ณ€๋™์˜ 74.194%๋ฅผ ์„ค๋ช…ํ•˜๋Š” 4๊ฐœ์˜ ์š”์ธ์ด ํƒ์ƒ‰๋˜์—ˆ์œผ๋ฉฐ, ๊ฐ ์„ค๋ฌธ๋ฌธํ•ญ๋“ค์€ ์‹ ๋ขฐ๋„๊ฐ€ 0.7 ์ด์ƒ์œผ๋กœ ๋ณธ ์—ฐ๊ตฌ๋ชจํ˜•์„ ๊ตฌ์„ฑํ•˜๊ณ  ์žˆ๋Š” ์š”์ธ๋“ค์€ ๋ชจ๋‘ ์‹ ๋ขฐ์„ฑ์ด ๋†’๋‹ค๊ณ  ํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค.๋‹ค์Œ์œผ๋กœ ํšŒ๊ท€๋ชจํ˜•์˜ ์ข…์†๋ณ€์ˆ˜์— ํ•ด๋‹นํ•˜๋Š” ์š”์ธ๋“ค์— ๋Œ€ํ•œ ์š”์ธ๋ถ„์„์„ ์‹ค์‹œ ๊ฒฐ๊ณผ๋Š” ์ง๋ฌด๋ชฐ์ž…๊ณผ ์ข…์—…์› ๋งŒ์กฑ์˜ 2๊ฐœ ์š”์ธ์ด ์ „์ฒด ๋ณ€๋™์˜ 66.391%๋ฅผ ์„ค๋ช…ํ•˜๊ณ  ์žˆ์œผ๋ฉฐ, ์‹ ๋ขฐ์„ฑ ๋ถ„์„๊ฒฐ๊ณผ ์ข…์—…์› ๋งŒ์กฑ ์š”์ธ์— ๋Œ€ํ•œ ์‹ ๋ขฐ์„ฑ์ด ์กฐ๊ธˆ ๋‚ฎ์€ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค.๋‹ค์Œ์œผ๋กœ ์ƒ๊ด€๊ด€๊ณ„ ๋ถ„์„๊ณผ ์ธ๊ณผ๊ด€๊ณ„ ๊ฒ€์ •์„ ์œ„ํ•œ ํšŒ๊ท€๋ถ„์„์„ ์œ„ํ•ด ์š”์ธ๋ณ„์˜ ๊ธฐ์ค€์ˆ˜์น˜๋ฅผ ์‚ฌ์šฉํ•˜์˜€๋‹ค. ๊ฐ ๊ตฌ์„ฑ๊ฐœ๋… ๊ฐ„์— ์—ฐ๊ด€์„ฑ์„ ๋‚˜ํƒ€๋‚ด๋Š” ๊ฐ ์š”์ธ๊ฐ„์˜ ์ƒ๊ด€๊ด€๊ณ„๋Š” ๊ฐ€์„ค์—์„œ ์„ค์ •ํ•œ ๋ฐ”์™€ ๋™์ผํ•œ ๋ฐฉํ–ฅ(+)์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค์‚ฌ๋ช…๊ณผ ๋น„์ „, ์—…๋ฌด์ˆ˜ํ–‰๋ฐฉ์‹, ์ž„๊ธˆ ๋ฐ ์Šน์ง„, ์ž„ํŒŒ์›Œ๋จผํŠธ, XY์ง€์ˆ˜๊ฐ€ ์ง๋ฌด๋ชฐ์ž… ๋ฐ ์ข…์—…์› ๋งŒ์กฑ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์— ๋Œ€ํ•œ 2๊ฐœ ๋ชจํ˜•์„ ๊ฒ€์ •ํ•˜๊ธฐ ์œ„ํ•œ ํšŒ๊ท€๋ถ„์„์„ ์‹ค์‹œํ•˜์˜€์œผ๋ฉฐ, ๋จผ์ € ์‚ฌ๋ช…๊ณผ ๋น„์ „, ์—…๋ฌด์ˆ˜ํ–‰๋ฐฉ์‹, ์ž„๊ธˆ ๋ฐ ์Šน์ง„, ์ž„ํŒŒ์›Œ๋จผํŠธ, XY ์ง€์ˆ˜๊ฐ€ ์ง๋ฌด๋ชฐ์ž…์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์— ๋Œ€ํ•œ ํšŒ๊ท€๋ถ„์„ ๊ฒฐ๊ณผ, ๋ชจํ˜•์˜ F๊ฐ’ 21.701๋กœ ์œ ์˜ํ•˜๋ฉฐ, ์ž„๊ธˆ ๋ฐ ์Šน์ง„, ์ž„ํŒŒ์›Œ๋จผํŠธ ๋ฐ XY ์ง€์ˆ˜๊ฐ€ ์ฆ๊ฐ€ํ• ์ˆ˜๋ก ์ง๋ฌด๋ชฐ์ž…์€ ๋†’์•„์ง€๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์˜ ๋‘ ๋ฒˆ์งธ ๋ชจํ˜•์ธ ์‚ฌ๋ช…๊ณผ ๋น„์ „, ์—…๋ฌด์ˆ˜ํ–‰๋ฐฉ์‹, ์ž„๊ธˆ ๋ฐ ์Šน์ง„, ์ž„ํŒŒ์›Œ๋จผํŠธ, XY์ง€์ˆ˜๊ฐ€ ์ข…์—…์› ๋งŒ์กฑ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์— ๋Œ€ํ•œ ํšŒ๊ท€๋ถ„์„ ๊ฒฐ๊ณผ, F๊ฐ’ 14.206์œผ๋กœ ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•œ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ์œผ๋ฉฐ, ์—…๋ฌด์ˆ˜ํ–‰๋ฐฉ์‹, ์ž„๊ธˆ ๋ฐ ์Šน์ง„ ์š”์†Œ๊ฐ€ ์ฆ๊ฐ€ํ• ์ˆ˜๋ก ์ข…์—…์›๋งŒ์กฑ์ด ๋†’์•„์ง€๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. [์˜๋ฌธ]This study explored the factors affecting employee satisfaction and job commitment of employees who work for medical and dental institutions. Through the study results, managers or leaders in medical and dental institution increase organizational performance to improve the factors relating their employees' satisfaction and commitment. To find the factors influencing satisfaction and commitment, the researcher collected data from employees working for medical and dental institutions. Number of observation is 168 employees, and collecting rate is 67.2%. The sampling method was used convenient sampling. To make constructs from the questions, the researcher used factor analysis. As independent variable, questions consisted of four constructs such as mission and vision, method for executing works, salary and promotion, and empowerment. And as dependent variable, questions consisted of two constructs such as job commitment and employee satisfaction. Independent variables included mission and vision, method for executing works, salary and promotion, empowerment, and XY index. First four variables was from Vroom's expectancy theory, and XY index was from Herzburg's XY theory. Job commitment was influenced by salary and promotion, empowerment, and Y type. Employee satisfaction was influenced by method for executing works, and salary and promotion. First result means that managers have to consider reward from the human resource management issue, and effectiveness from soft ware focusing on human relation such as empowerment and Y type management style to improve quality of work and working well. Second result means that employee satisfaction was still influenced by organizational hard ware only such as salary and promotion and method for executing works. Therefore, managers have to consider rewards and supporting for work.ope

    Calculation of Dispersion Tensors Based on Vertical Velocity Distributions for the Analysis of 2D Mixing in Meandering Channels

    No full text
    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ๊ฑด์„คํ™˜๊ฒฝ๊ณตํ•™๋ถ€, 2012. 2. ์„œ์ผ์›.๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ์‚ฌํ–‰ํ•˜์ฒœ์— ์ˆœ๊ฐ„์ ์œผ๋กœ ์œ ์ž…๋œ ์˜ค์—ผ๋ฌผ์งˆ์˜ 2์ฐจ์›์  ํ˜ผํ•ฉ๊ณผ์ •์„ ํ•ด์„ํ•˜๊ธฐ ์œ„ํ•ด ๊ณต๊ฐ„์ ์œผ๋กœ ๋ณ€ํ™”ํ•˜๋Š” ๋ถ„์‚ฐํ…์„œ๋ฅผ ๊ณ„์‚ฐํ•˜๊ณ  ์ด๋ฅผ 2์ฐจ์› ์ด์†ก-๋ถ„์‚ฐ๋ชจํ˜•์— ์ ์šฉํ•˜์˜€๋‹ค. ์ž์—ฐํ•˜์ฒœ์—์„œ๋Š” ์ „๋‹จํ๋ฆ„์ด ๋ฐœ์ƒํ•˜๊ธฐ ๋•Œ๋ฌธ์— ์œ ์†ํŽธ์ฐจ์— ์˜ํ•œ ๋ถ„์‚ฐ์ด ๋ถ„์žํ™•์‚ฐ๋ณด๋‹ค ์˜ค์—ผ๋ฌผ์งˆ ํ˜ผํ•ฉ์— ์ง€๋ฐฐ์  ์—ญํ• ์„ ํ•œ๋‹ค. ๋”ฐ๋ผ์„œ 2์ฐจ์› ํ˜ผํ•ฉ๋ชจ์˜๋ฅผ ์œ„ํ•œ ๋งค๊ฐœ๋ณ€์ˆ˜๋กœ์„œ ๋ถ„์‚ฐ๊ณ„์ˆ˜๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ์ „๋‹จํ๋ฆ„์— ์˜ํ•œ ์˜ค์—ผ๋ฌผ์˜ ํ˜ผํ•ฉ์„ ๋ชจ์˜ํ•œ๋‹ค. ๊ทธ๋Ÿฐ๋ฐ ์‹ค์ œ ์ž์—ฐํ•˜์ฒœ์˜ ๋งŒ๊ณก๋ถ€์—์„œ๋Š” ์ด์ฐจ๋ฅ˜๊ฐ€ ๋ฐœ์ƒํ•˜๊ณ  ์†Œ๋ฉธํ•จ์— ๋”ฐ๋ผ ๋ถ„์‚ฐ๊ณ„์ˆ˜๊ฐ€ ๊ณต๊ฐ„์ ์œผ๋กœ ๋ณ€ํ™”ํ•˜๊ธฐ ๋•Œ๋ฌธ์— 2์ฐจ์› ํ๋ฆ„ ๋ชจํ˜•๊ณผ ์—ฐ๊ณ„๋œ ์ด์†ก-๋ถ„์‚ฐ ๋ชจํ˜•์„ ์ž์—ฐํ•˜์ฒœ์— ์ ์šฉํ•˜๋Š” ๊ฒƒ์— ํ•œ๊ณ„์ ์ด ์žˆ๋‹ค. ๋”ฐ๋ผ์„œ 2์ฐจ์› ํ˜ผํ•ฉ ๋ชจ์˜์˜ ์ •ํ™•์„ฑ์„ ๋†’์ด๊ธฐ ์œ„ํ•ด์„œ ์ด์ฐจ๋ฅ˜์˜ ์˜ํ–ฅ์„ ๊ณ ๋ คํ•œ ํ…์„œํ˜• ๋ถ„์‚ฐ ๊ณ„์ˆ˜๋ฅผ ์ ์šฉํ–ˆ๋‹ค. ์‚ฌํ–‰์ˆ˜๋กœ์—์„œ ์œ ์†๋ณ€ํ™”์— ๋”ฐ๋ฅธ ๋ถ„์‚ฐ๊ณ„์ˆ˜์˜ ๋ณ€ํ™”๋ฅผ ์•Œ์•„๋ณด๊ธฐ ์œ„ํ•ด ์‹คํ—˜์—์„œ ์‹ค์ธกํ•œ ์œ ์†์ž๋ฃŒ๋กœ๋ถ€ํ„ฐ ํ…์„œํ˜• ๋ถ„์‚ฐ๊ณ„์ˆ˜๋ฅผ ๊ณ„์‚ฐํ–ˆ๋‹ค. ๋ถ„์‚ฐ ํ…์„œ์˜ ๊ฐ ์„ฑ๋ถ„์€ ํ๋ฆ„๋ฐฉํ–ฅ๊ณผ ์ผ์น˜ํ•˜๋Š” ๊ตฌ๊ฐ„์—์„œ ์ฆ๊ฐ€ํ•˜๋ฉฐ, ์‚ฌํ–‰์ˆ˜๋กœ์˜ ์ตœ๋‹จ๊ฑฐ๋ฆฌ๋ฅผ ๋”ฐ๋ผ์„œ ์ตœ๋Œ€๊ฐ’์„ ๋‚˜ํƒ€๋ƒˆ๋‹ค. ์œ ์†์˜ ์—ฐ์ง๋ฐฉํ–ฅ ๋ถ„ํฌ์— ๊ด€ํ•œ ์‹ค์ธก์น˜๊ฐ€ ์—†๋Š” ๊ฒฝ์šฐ์— ์ด์ฐจ๋ฅ˜์˜ ์˜ํ–ฅ์„ ๋ฐ˜์˜ํ•˜๊ธฐ ์œ„ํ•ด ์ˆ˜์‹ฌํ‰๊ท  ์œ ์†๋ชจ์˜๊ฒฐ๊ณผ์™€ ์ข…, ํšก ๋ฐฉํ–ฅ ์œ ์†์˜ ์—ฐ์ง๋ถ„ํฌ์‹์œผ๋กœ๋ถ€ํ„ฐ ๋ถ„์‚ฐํ…์„œ๋ฅผ ๊ณ„์‚ฐํ•˜์—ฌ ์‹คํ—˜๊ฒฐ๊ณผ๋ฅผ ์ด์šฉํ•ด ๊ณ„์‚ฐํ•œ ๋ถ„์‚ฐํ…์„œ์™€ ๋น„๊ตํ–ˆ๋‹ค. ๊ทธ ๊ฒฐ๊ณผ ์‚ฌํ–‰์ˆ˜๋กœ์—์„œ ๋ถ„์‚ฐํ…์„œ๋Š” ์ฃผํ๋ฆ„์˜ ์ˆ˜ํ‰์  ๋ณ€๋™๊ณผ ์ด์ฐจ๋ฅ˜์˜ ๋ณ€ํ™”์— ๋”ฐ๋ผ ๊ณต๊ฐ„์ ์œผ๋กœ ๋น„๊ท ์งˆํ•œ ๋ถ„ํฌ๋ฅผ ๋ณด์ด๊ณ  ์žˆ์œผ๋ฉฐ, ์œ ์†๋ถ„ํฌ์‹์œผ๋กœ๋ถ€ํ„ฐ ๊ณ„์‚ฐํ•œ ๋ถ„์‚ฐํ…์„œ๊ฐ€ ์‹คํ—˜๊ฒฐ๊ณผ๋ฅผ ์ž˜ ์žฌํ˜„ํ•˜๊ณ  ์žˆ์Œ์„ ํ™•์ธํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค. ์‚ฌํ–‰์ˆ˜๋กœ์—์„œ ์ฃผํ๋ฆ„ ๋ฐ ์ด์ฐจ๋ฅ˜๊ฐ€ ์˜ค์—ผ๋ฌผ์งˆ์˜ ํ˜ผํ•ฉ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ๋ถ„์„ํ•˜๊ธฐ ์œ„ํ•ด ์—ฐ์ง๋ฐฉํ–ฅ ์œ ์†๋ถ„ํฌ์‹์„ ์ด์šฉํ•œ ๋ถ„์‚ฐํ…์„œ๋ฅผ 2์ฐจ์› ์ด์†ก-๋ถ„์‚ฐ๋ชจํ˜•์— ์ ์šฉํ•˜์—ฌ ์ˆœ๊ฐ„ ์ฃผ์ž…๋œ ์˜ค์—ผ๋ฌผ์งˆ์˜ ํ˜ผํ•ฉ๊ฑฐ๋™์„ ๋ชจ์˜ํ–ˆ๋‹ค. ๋ชจ์˜๊ฒฐ๊ณผ์˜ ๊ฒ€์ฆ์„ ์œ„ํ•ด ๋†๋„-์‹œ๊ฐ„ ๊ณก์„ ๊ณผ ๋†๋„-๊ฑฐ๋ฆฌ ๊ณก์„ ์„ ์ด์šฉํ•˜์—ฌ ์˜ค์—ผ๋ฌผ ๋†๋„์˜ ์ตœ๋Œ€๊ฐ’๊ณผ ์ตœ๋Œ€ ๋†๋„์˜ ๋„๋‹ฌ์‹œ๊ฐ„์„ ์ถ”์ ์ž์‹คํ—˜ ๊ฒฐ๊ณผ์™€ ๋น„๊ตํ•˜์˜€๋‹ค. ๋˜ํ•œ ์œ ์†์˜ ์—ฐ์ง๋ถ„ํฌ์— ๊ธฐ๋ฐ˜ํ•œ ๋ถ„์‚ฐ ํ…์„œ๋ฅผ ์ ์šฉํ•œ 2์ฐจ์› ์ด์†ก-๋ถ„์‚ฐ ๋ชจํ˜•์ด 3์ฐจ์› ๋ชจํ˜•๊ณผ ๋น„๊ตํ•ด ์ •ํ™•ํ•œ ๋ชจ์˜๊ฒฐ๊ณผ๋ฅผ ๋‚˜ํƒ€๋‚ด๋Š”์ง€ ํ™•์ธํ•˜๊ธฐ ์œ„ํ•ด ์ค€ 3 ์ฐจ์› ๋ชจํ˜• EFDC์˜ ์ด์†ก-ํ™•์‚ฐ๋ชจํ˜•๊ณผ ๋ชจ์˜๊ฒฐ๊ณผ๋ฅผ ๋น„๊ตํ–ˆ๋‹ค. ๊ทธ ๊ฒฐ๊ณผ ์ตœ๋Œ€ ๋†๋„๊ฐ’๊ณผ ์ตœ๋Œ€๋†๋„๊ฐ€ ํ•œ ์ง€์ ์— ๋„๋‹ฌ์‹œ๊ฐ„์ด ์ˆ˜๋กœ์˜ ๋งŒ๊ณก๋ถ€์—์„œ ์‹คํ—˜๊ฒฐ๊ณผ์™€ ๋Œ€์ฒด๋กœ ์œ ์‚ฌํ•œ ๊ฒฐ๊ณผ๋ฅผ ๋‚˜ํƒ€๋‚ด์—ˆ์œผ๋ฉฐ ์ค€ 3์ฐจ์› ๋ชจํ˜•๊ณผ ๋น„๊ตํ•ด ๋Œ€๋“ฑํ•œ ๊ฒฐ๊ณผ๋ฅผ ๋‚˜ํƒ€๋ƒˆ๋‹ค. ์ดํ›„ ์ž์—ฐํ•˜์ฒœ์—์„œ์˜ ์ ์šฉ์„ฑ์„ ๊ฒ€ํ† ํ•˜๊ธฐ ์œ„ํ•ด ๋ณธ ์—ฐ๊ตฌ์—์„œ ๊ฐœ๋ฐœํ•œ ๋ชจํ˜•์„ ํ™์ฒœ๊ฐ•์— ์ ์šฉํ•˜์—ฌ ์ถ”์ ์ž ์‹คํ—˜๊ฒฐ๊ณผ์™€ ๋น„๊ตํ–ˆ๋‹ค. ๊ทธ ๊ฒฐ๊ณผ ๋ณธ ๋ชจํ˜•์ด ๋งŒ๊ณก๋ถ€์—์„œ ๋†๋„๊ณก์„ ์˜ ์ „์ฒด์ ์ธ ํ˜•ํƒœ์™€ ์ตœ๋Œ€๊ฐ’์„ ๋น„๊ต์  ์ •ํ™•ํ•˜๊ฒŒ ์žฌํ˜„ํ•˜๋Š” ๊ฒƒ์œผ๋กœ ๋ฐํ˜€์กŒ๋‹ค.In this study, dispersion tensor was calculated in meandering channel and applied to 2D pollutant transport model to analyze physical mixing process of instantaneously injected pollutant. On account of occurrence of shear flow in natural rivers, dispersion by velocity deviations has more dominant effect in pollutant mixing than molecular diffusion. Therefore, dispersion coefficient is using as a parameter for simulating 2D pollutant mixing in shear flow. However, applying constant dispersion coefficient to 2D pollutant transport model has limitations to analyze pollutant mixing in natural rivers. Because, dispersion of pollutant is changing continuously according to velocity distributions and 3 dimensional flow characteristics such as secondary currents affect velocity field. For this reason, dispersion coefficient tensor was applied to 2D pollutant transport model for improving accuracy of simulation results. To investigate behavior of dispersion tensor by variation of velocity field in meandering channel, dispersion tensor using experimental results was calculated in laboratory channel. From the result, dispersion tensor increases when each component coincides with main flow direction. And, the maximum value of dispersion tensor in transverse direction occurs on the maximum velocity occurrence point. To apply heterogeneous distributed dispersion tensor to 2D numerical model, velocity distributions in vertical direction was generated from depth-averaged velocity data for demonstrating secondary currents. After that, dispersion tensor was calculated by using the velocity profiles and compared the result with dispersion tensor from experiment data. From the comparison result, dispersion tensor using 2D flow analysis result shows valid results and the calculation method was applied to 2D pollutant transport model. Using 2D pollutant transport model incorporating heterogeneous distributed dispersion tensor, 2D mixing of instantaneously injected conservative mass pollutant in the laboratory meandering channel was demonstrated. To verify simulation result, peak concentration and arrival time of peak concentration was compared with tracer test result by using C-t curves and C-y curves. Furthermore, mass transport model of quasi-3D model EFDC was used to verify the validation of 2D pollutant transport model with the dispersion tensor in meandering channel. From the result, 2D simulation results shows reasonable analysis result when it compared with simulation results of quasi-3D model and tracer-test results. To consider applicability of the 2D pollutant transport model in natural rivers, 2D simulation result was compared with tracer test result on Hongcheon river. From the comparison result of C-t curves, simulation result tends to underestimate peak concentration on straight region. However, increasing and decreasing of concentration almost coincides with tracer test result on curved section of the river.Maste

    ๅฅ‘็ด„็ท ็ต้Ž็จ‹์— ์žˆ์–ด์„œ์˜ ๆƒ…ๅ ฑๆไพ›็พฉๅ‹™ : ็จ้€ธ์—์„œ์˜ ๏ฅ่ญฐ๋ฅผ ๅฅ‘ๆฉŸ๋กœ ํ•˜์—ฌ

    No full text
    ํ•™์œ„๋…ผ๋ฌธ(๋ฐ•์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :๋ฒ•ํ•™๊ณผ,2004.Docto

    (A) study of dental need and the utilization patterns in Korea of a rural area

    No full text
    ๋ณด๊ฑดํ•™๊ณผ/์„์‚ฌ[ํ•œ๊ธ€] ๋ณธ ์—ฐ๊ตฌ๋Š” ์ผ๋ถ€ ๋†์ดŒ ์ง€์—ญ์‚ฌํšŒ๋ฅผ ๋Œ€์ƒ์œผ๋กœ ์น˜๊ณผ์˜๋ฃŒ ์ˆ˜์š” ๋ฐ ์น˜๊ณผ์˜๋ฃŒ ์ด์šฉ์–‘์ƒ์„ ๊ทœ๋ช…ํ•˜๊ธฐ ์œ„ํ•œ ๋ชฉ์ ์œผ๋กœ ์‹œํ–‰๋˜์—ˆ๋‹ค. ๋ฐฉ๋ฒ•์œผ๋กœ๋Š” ๊ฑด๊ฐ• ๋ฉด์ ‘์กฐ์‚ฌ์™€ ์ „๋ฌธ๊ฐ€์— ์˜ํ•œ ๊ตฌ๊ฐ•๊ฒ€์‚ฌ์˜ ๋‘๊ฐ€์ง€๋ฅผ ํƒํ•˜์˜€๋‹ค. ๊ฒฝ๊ธฐ๋„ ๊ฐ•ํ™”๊ตฐ ๊ฐ•ํ™”์๊ณผ 3๊ฐœ๋ฉด(์„ ์›๋ฉด, ๊ธธ์ƒ๋ฉด, ๋‚ด๊ฐ€๋ฉด)์˜ 4๊ฐœ์ง€์—ญ์„ ์กฐ์‚ฌ๋Œ€์ƒ์œผ๋กœ ํ•˜์˜€์œผ๋ฉฐ, ๊ฐ ์ง€์—ญ์—์„œ 25๊ฐ€๊ตฌ์”ฉ์„ ๋ฌด์ž‘์œ„๋กœ ํ‘œ๋ณธ ์ถ”์ถœํ•˜์—ฌ 1977๋…„ 8์›”1์ผ๋ถ€ํ„ฐ 8์›”6์ผ๊ฐ€์ง€ 2๋ช…์˜ ์น˜๊ณผ์˜์‚ฌ์™€ 16๋ช…์˜ ์น˜๊ณผ๋Œ€ํ•™์ƒ์œผ๋กœ ๊ตฌ์„ฑ๋œ ๊ฑด๊ฐ•๋ฉด์ ‘์š”์› ๋ฐ ๊ตฌ๊ฐ• ๊ฒ€์‚ฌ์š”์›์ด ํ˜ธ๋ณ„ ๋ฐฉ๋ฌธํ•˜์—ฌ ๋ฉด์ ‘ ๋ฐ ๊ตฌ๊ฐ•๊ฒ€์‚ฌ๋ฅผ ์‹ค์‹œํ•˜์˜€๋‹ค. ์กฐ์‚ฌ๋‚ด์šฉ์€ ์ฃผ๋ฏผ์˜ ์ผ๋ฐ˜์  ํŠน์„ฑ, ์ง€๋‚œ ํ•œ๋‹ฌ๋™์•ˆ ์Šค์Šค๋กœ ๋Š๋ผ๊ฑฐ๋‚˜ ์ž๊ฐํ•˜๊ณ  ์žˆ๋Š” ์น˜๊ณผ ์งˆํ™˜, ์น˜๊ณผ์น˜๋ฃŒ์—ฌ๋ถ€, ์น˜๊ณผ์น˜๋ฃŒ ๊ธฐํ”ผ์ด์œ , ์น˜๊ณผ์ˆ˜์š”์ฃผ๋ฏผ์˜ ์น˜๊ณผ์˜์‚ฌ์™€์˜ ์ ‘์ด‰๋“ฑ์ด์—ˆ๊ณ , ๊ตฌ๊ฐ• ๊ฒ€์‚ฌ์—์„œ๋Š” ์šฐ์‹์น˜์•„, ๊ฒฐ์†์น˜์•„, ์ถฉ์ „์น˜์•„, ์น˜์ฃผ์งˆํ™˜, ๋“ฑ์„ ์กฐ์‚ฌํ•˜์—ฌ ๋‹ค์Œ๊ณผ ๊ฐ™์€ ๊ฒฐ๊ณผ๋ฅผ ์–ป์—ˆ๋‹ค. 1. ์ง€์—ญ์ฃผ๋ฏผ์ค‘ ํ•œ๋‹ฌ ์ด๋‚ด์— ์Šค์Šค๋กœ ๋Š๋ผ๊ฑฐ๋‚˜ ์ž๊ฐํ•˜๊ณ  ์žˆ๋Š” ์น˜๊ณผ์งˆํ™˜์„ ๊ฐ€์ง„ ์‚ฌ๋žŒ์€ ์ „์ฒด ์ฃผ๋ฏผ์˜ 19.6%์ด์—ˆ๋‹ค. 2. ์น˜๊ณผ ์ˆ˜์š”์ฃผ๋ฏผ์˜ ์น˜๊ณผ์งˆํ™˜์„ ๊ตฌ๋ถ„ํ•˜์—ฌ ๋ณด๋ฉด ์น˜์•„๋กœ ์ธํ•œ ๊ฒƒ์ด 81.1%๋กœ ๊ฐ€์žฅ ๋งŽ๊ณ , ๊ทธ ๋‹ค์Œ์ด ์ž‡๋ชธ, ์˜์น˜, ๊ธฐํƒ€์˜ ์ˆœ์„œ์ด๋ฉฐ, ์น˜๊ณผ์งˆํ™˜์˜ ํ†ต์ฆ์ •๋„๋Š” "๋งค์šฐ ์‹ฌํ•˜๋‹ค"๊ฐ€ 47.3%์˜€๊ณ , "๋ณดํ†ต์ด๋‹ค"๊ฐ€ 33.1%์˜€์œผ๋ฉฐ, 19.6%๋Š” "์ฐธ์„๋งŒํ•˜๋‹ค"๊ณ  ์‘๋‹ตํ–ˆ๋‹ค. ๋˜ํ•œ ์ž๊ฐ์ ์ธ ์น˜๊ณผ ์ˆ˜์š”๊ฐ€ ์žˆ๋Š” ์ฃผ๋ฏผ์˜ 44.3%๋Š” ์น˜๋ฃŒ๋ฅผ ๋ฐ›์€ ์ผ์ด ์žˆ๊ณ , ๊ทธ ๋‚˜๋จธ์ง€๋Š” ์น˜๋ฃŒ๋ฅผ ๋ฐ›์ง€ ์•Š์€ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. 3. ์น˜๊ณผ์น˜๋ฃŒ์žฅ์†Œ ์ด์šฉ์€ ์ง€์—ญ๊ฑฐ๋ฆฌ์™€ ๊ด€๋ จ์ด ์žˆ์–ด ๊ฐ€๊นŒ์šด ์น˜๋ฃŒ์žฅ์†Œ ์ด์šฉ์œจ์ด ๋†’์€ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚˜ ์๋‚ด ์น˜๊ณผ์˜์› ์ด์šฉ์œจ์ด 32.8%์˜€์œผ๋ฉฐ, ๊ทธ ๋‹ค์Œ์€ ๋ฌด๋ฉดํ—ˆ ์น˜๊ณผ์˜์›, ๋ณด๊ฑด์†Œ ์น˜๊ณผ, ๊ทธ๋ฆฌ๊ณ  ์•ฝ๊ตญ์˜ ์ˆœ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. 4. ์น˜๊ณผ์น˜๋ฃŒ๋‚ด์šฉ์€ ๋ฐœ์น˜, ๋ณด์ฒ , ํˆฌ์•ฝ, ๋ณด์กด์น˜๋ฃŒ์˜ ์ˆœ์„œ์ธ๋ฐ ์น˜๊ณผ์น˜๋ฃŒ๋น„๏ฟฝ๋ ๏ฟฝ1์ธ๋‹น ํ‰๊ท  7,456์›์ด์—ˆ๋‹ค. 5. ์ž๊ฐ์ ์ธ ์น˜๊ณผ์ˆ˜์š”๊ฐ€ ์žˆ๋Š” ์ฃผ๋ฏผ์ค‘ ์น˜๋ฃŒ๋ฅผ ๋ฐ›์ง€ ์•Š์€ ์‚ฌ๋žŒ๋“ค์˜ ์ด์œ ๋กœ๋Š” ์‹ฌํ•œ ์งˆํ™˜์ด ์•„๋‹ˆ๋ผ๊ณ  ์ƒ๊ฐํ•˜๋‹ค๊ฐ€ 41.2%๋กœ ๊ฐ€์žฅ ๋งŽ๊ณ , ๊ทธ ๋‹ค์Œ์€ ๊ฒฝ์ œ์  ์ด์œ  18.8%, ๋„ˆ๋ฌด ๋ฐ”์˜๋‹ค 9.7%, ์ฃผ์œ„์— ์น˜๊ณผ๊ฐ€ ์—†๋‹ค. 8.5%, ๊ณตํฌ์‹ฌ ๋•Œ๋ฌธ์ด 7.3%์˜€๋‹ค. 6. ๊ฒฝ์ œ์  ๋ถ€๋‹ด์ด ์—†๋Š” ๊ฒฝ์šฐ ์น˜๊ณผ์น˜๋ฃŒ ์š”๊ตฌ๋Š” ์น˜๊ณผ ์ˆ˜์š”์ฃผ๋ฏผ์˜ 51.4%๋กœ, ์น˜๊ณผ์น˜๋ฃŒ ์š”๊ตฌ์‚ฌํ•ญ์€ ๋ณด์กด์น˜๋ฃŒ 37.5%๋กœ ๋น„๊ต์  ๋งŽ์•˜๊ณ , ๋ณด์ฒ ์น˜๋ฃŒ 11.8%, ํ‹€๋‹ˆ 5.9%, ๊ทธ๋ฆฌ๊ณ  ์ž‡๋ชธ์น˜๋ฃŒ 4.6%์˜ ์ˆœ์ด์—ˆ๋‹ค. 7. ์น˜๊ณผ์ˆ˜์š”์ฃผ๋ฏผ์ค‘ ๋ฉดํ—ˆ์žˆ๋Š” ์น˜๊ณผ์˜์‚ฌ์™€์˜ ์ ‘์ด‰์œจ์€ 5.1%์— ๋ถˆ๊ณผํ–ˆ์œผ๋ฉฐ ๊ต์œก ์ˆ˜์ค€๊ณผ ์ƒํ™œ์ˆ˜์ค€์ด ๋†’์„์ˆ˜๋ก ๋ฉดํ—ˆ์žˆ๋Š” ์น˜๊ณผ์˜์‚ฌ์™€์˜ ์ ‘์ด‰์ด ๋งŽ์€ ๊ฒƒ์ด ํ†ต๊ณ„ํ•™์ ์œผ๋กœ ์œ ์˜ํ•˜๊ฒŒ ๋†’์•˜๋‹ค. 8. ์ฃผ๋ฏผ1์ธ๋‹น ํ‰๊ท  ์šฐ์‹ ์น˜์•„์ˆ˜๋Š” 2.0๊ฐœ์˜€๊ณ , ์ถฉ์ „ ์น˜์•„์ˆ˜๋Š” 0.2๊ฐœ ๊ฒฐ์† ์น˜์•„์ˆ˜๋Š” 3.2๊ฐœ๋กœ ์—ฐ๋ น์ด ๋†’์„์ˆ˜๋ก ๊ฒฐ์† ์น˜์•„์ˆ˜๊ฐ€ ๋งŽ์•˜๊ณ , ์ง€์—ญ์ฃผ๋ฏผ ์ „์ฒด์˜ 75.4%๊ฐ€ ์น˜์ฃผ ์งˆํ™˜์„ ๊ฐ€์ง€๊ณ  ์žˆ์—ˆ๋‹ค. 9. ์น˜๊ณผ์ˆ˜์š”๊ฐ€ ์žˆ๋Š” ์ฃผ๋ฏผ์ค‘ 1๊ฐœ์ด์ƒ์˜ ์šฐ์‹์น˜์•„๋ฅผ ๊ฐ€์ง„ ์ฃผ๋ฏผ์ด 95.2%์ด๊ณ , ์ž๊ฐํ•˜๊ณ  ์žˆ๋Š” ์ฃผ๋ฏผ์€ 80.7%์ด์—ˆ๋‹ค. 10. ์น˜๊ณผ์ˆ˜์š”๊ฐ€ ์žˆ๋Š” ์ฃผ๋ฏผ์ค‘ ์น˜์ฃผ์งˆํ™˜์„ ๊ฐ€์ง„ ์ฃผ๋ฏผ์ด 72.6%์ด๊ณ , ์ž๊ฐํ•˜๊ณ  ์žˆ๋Š” ์ฃผ๋ฏผ์€ 12.9%์ด์—ˆ๋‹ค. [์˜๋ฌธ] The purpose of this study is to identify dental needs and effective demands to provide basic information to formulate the dental manpower, and dental health delivery system in Korea. Adopting a health interview survey and oral health examination survey the dental need and the patterns of dental care utilization, and also the professionally identified needs were measured. These surveys were performed in August, 1977 for one week. The area surveyed was one Eup (Kangwha-Eup) and three Myuns (Sunwon-Myun, Kilsang-Myun and Naega-Myun) in Kangwha-gun, Kyunggi-Do. General characteristics of the inhabitants, the number of persons with perceived dental needs within one month, dental diseases, dental care, reasons for evasion of dental care, perception of need, and dentist contacts in that areas were obtained through home interview. The results are summarized as follows: 1. The total rates of persons with perceived dental needs within one month was 19.6% out of 1,507 persons. 2. With respect to types of diseases, the majority (81.1%) of inhabitants with perceived dental needs had trouble with teeth, and the others had trouble with gum or false teeth. 47.3% rated the symptom sever, 33.1% moderately severe, and 19.6% not severe. 44.3% of dental needs had access to dental services, while the remainder had not. 3. The closer the distance from their dwelling places to the place of dental care, the higher the dental care utilisation rate. 32.7% of dental need sought a dental care from clinic in Eup; 24.4%, a nonlicenced dental clinic; 12.2%, a health center dental clinic; and 11.5%, a drug store. 4. Dental cares received consisted of extraction, prosthesis, drug, and operative treatment; An average cost of dental care was W7,456 per person. 5. Main reasons for evasion of dental care were: "Not sever," then, economic reasons, very busy, absence of dental clinic near by, and fear of dental care in order. 6. In case of no financial barriers having dental care. 51.4% of dental need inhabitants wanted dental care; operative treatment (37.5%), extraction (37.5%), and prosthesis (11.8%), denture (5.9%), and gum treatment (4.6%). 7. Of all those with dental problems, a small proportation (5.1%) had contacted licenced dentist. The rate of visiting lincenceds dentist were hiphly associated with education level and standard of living. 8. The average number of caries teeth per person were 2.1; filling teeth were 0.2; and missing teeth were 3.2 pieces. Problems were geater as the age was higher. 75.4% of the total inhabitants in the areas surveyed had periodontal diseases.restrictio
    corecore