31 research outputs found

    (The) analysis of effects of smoking cessation program applying the cognitive behavior therapy among the soldiers w

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    ์—ญํ•™๋ฐ๊ฑด๊ฐ•์ฆ์ง„ํ•™๊ณผ/์„์‚ฌ[ํ•œ๊ธ€] ๋‹ด๋ฐฐ๊ฐ€ ํ•ด๋กญ๋‹ค๋Š” ์‚ฌ์‹ค์ด ์„ธ๊ณ„์ ์œผ๋กœ ๊ณต์ธ๋œ ์ดํ›„ ์˜ค๋Š˜๋‚ ๊นŒ์ง€ ํก์—ฐ์˜ ์œ ํ•ด์„ฑ์— ๋Œ€ํ•œ ๋…ผ๋ž€์ด ๋Š์ž„์—†์ด ์ด์–ด์ง€๊ณ  ์žˆ์Œ์—๋„ ๋ถˆ๊ตฌํ•˜๊ณ  ๊ตฐ๋ถ€๋Œ€์—์„œ์˜ ํก์—ฐ๋ฅ (72.8%)์€ ์—ฌ์ „ํžˆ ๋†’์€ ์ˆ˜์ค€์ด๋‹ค. ํก์—ฐ์œผ๋กœ ์ธํ•œ ๋‹ค์–‘ํ•œ ์งˆ๋ณ‘ ๋ฐœ์ƒ๋ฅ ๊ณผ ์‚ฌ๋ง๋ฅ ์„ ์ƒ๊ฐํ•  ๋•Œ ๊ฑด๊ฐ•ํ•œ ์‹ฌ์‹ ์œผ๋กœ ๊ตญ๋ฐฉ์ˆ˜ํ˜ธ์˜ ์ž„๋ฌด๋ฅผ ์ˆ˜ํ–‰ํ•ด์•ผ ํ•˜๋Š” ๊ตฐ์ธ์—๊ฒŒ ์žˆ์–ด์„œ ์ด๋ ‡๋“ฏ ๋†’์€ ํก์—ฐ๋ฅ ์€ ์ž ์žฌ๋œ ์ „ํˆฌ๋ ฅ ์†์‹ค์„ ์˜๋ฏธํ•˜๋Š” ๊ฒƒ์ด๋ผ ํ•  ์ˆ˜ ์žˆ๊ฒ ๋‹ค. ์ด์— ๊ตฐ์˜ ๊ฑด๊ฐ•์ฆ์ง„์„ ์œ„ํ•œ ์ฒด๊ณ„์ ์ด๋ฉฐ ํšจ๊ณผ์ ์ธ ๊ธˆ์—ฐ ํ”„๋กœ๊ทธ๋žจ์˜ ๊ฐœ๋ฐœ์ด ํ•„์š”ํ•˜๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ์ตœ๊ทผ ์—ฌ๋Ÿฌ ๋ถ„์•ผ์—์„œ ํšจ๊ณผ๋ฅผ ๋ณด์ด๊ณ  ํŠนํžˆ ์šฐ์šธ์ฆ ๋“ฑ์— ํšจ๊ณผ๊ฐ€ ์žˆ๋‹ค๊ณ  ์•Œ๋ ค์ง„ ์ธ์ง€ํ–‰๋™์š”๋ฒ•์„ ์ ์šฉํ•œ ๊ธˆ์—ฐ ํ”„๋กœ๊ทธ๋žจ๊ณผ, ๊ธˆ์—ฐ๋ณด์กฐ์ œ ์ค‘ ํšจ๊ณผ๊ฐ€ ์žˆ๋‹ค๊ณ  ๋ณด๊ณ ๋œ ๋‹ˆ์ฝ”ํ‹ด ํŒจ์น˜ ์š”๋ฒ•์„ ์ ์šฉํ•˜์—ฌ ํก์—ฐ์ค‘์ธ ์ผ๋ถ€ ๊ตฐ ์žฅ๋ณ‘์„ ๋Œ€์ƒ์œผ๋กœ ๊ฐ๊ฐ์˜ ๊ธˆ์—ฐํšจ๊ณผ๋ฅผ ๋น„๊ต ๋ถ„์„ํ•˜๊ณ ์ž ์‹ค์‹œํ•˜์˜€๋‹ค. ์—ฐ๊ตฌ๋Œ€์ƒ์ž๋Š” OO๋ถ€๋Œ€์— ๊ทผ๋ฌดํ•˜๋Š” ์žฅ๋ณ‘์œผ๋กœ, ์„ค๋ฌธ์กฐ์‚ฌ๋ฅผ ์‹ค์‹œํ•œ ํ›„ ๊ธˆ์—ฐ ์˜๋„์˜ ๋ณ€ํ™”๋‹จ๊ณ„๊ฐ€ ๊ณ„ํš๋‹จ๊ณ„(contemplation stage)์— ํ•ด๋‹นํ•˜๋Š” ๋Œ€์ƒ์ž 109๋ช…์„ ์‹คํ—˜ 1๊ตฐ(์ธ์ง€ํ–‰๋™์  ๊ธˆ์—ฐํ”„๋กœ๊ทธ๋žจ ์ ์šฉ๊ตฐ 33๋ช…)๊ณผ ์‹คํ—˜ 2๊ตฐ (๋‹ˆ์ฝ”ํ‹ด ํŒจ์น˜ ์ ์šฉ๊ตฐ 40๋ช…) ๋ฐ ๋Œ€์กฐ๊ตฐ (36๋ช…)์œผ๋กœ ๋ถ„๋ฅ˜ํ•˜์—ฌ ์‹ค์‹œํ•˜์˜€๋‹ค. ๊ธˆ์—ฐํ”„๋กœ๊ทธ๋žจ์€ ๊ฐ 5์ผ๊ฐ„ ์‹ค์‹œ๋˜์—ˆ์œผ๋ฉฐ ํ”„๋กœ๊ทธ๋žจ ์‚ฌ์ „๊ณผ ์‚ฌํ›„์— ๊ฐ๊ฐ ๋Œ€์ƒ์ž์˜ ์ผ์ผ ํก์—ฐ๋Ÿ‰, ๋‹ˆ์ฝ”ํ‹ด ์˜์กด๋„, ์šฐ์šธ ๋ฐ˜์‘, ์ŠคํŠธ๋ ˆ์Šค ๋ฐ˜์‘์˜ ๋ณ€ํ™”๋ฅผ ๋น„๊ต ๋ถ„์„ํ•˜์˜€๊ณ  ๊ธˆ์—ฐํ–‰์œ„ ๋‹จ๊ณ„์˜ ๋ณ€ํ™”๋ฅผ ์‚ดํŽด๋ณด์•˜๋‹ค. ์ฃผ์š” ์—ฐ๊ตฌ ๊ฒฐ๊ณผ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. ์ฒซ์งธ, ์ธ์ง€ํ–‰๋™์š”๋ฒ•์„ ์ด์šฉํ•œ ๊ธˆ์—ฐํ”„๋กœ๊ทธ๋žจ ์‹ค์‹œ ํ›„ ์‹คํ—˜ 1๊ตฐ(์ธ์ง€ํ–‰๋™์š” ๋ฒ•๊ตฐ)์˜ ์ผ์ผ ํก์—ฐ๋Ÿ‰( t=-3.65, P=0.004)๊ณผ ๋‹ˆ์ฝ”ํ‹ด ์˜์กด๋„(t=-3.53, P=0.0006)๊ฐ€ ๋Œ€์กฐ๊ตฐ์— ๋น„ํ•ด ์œ ์˜ํ•˜๊ฒŒ ๊ฐ์†Œํ•˜์˜€๋‹ค. ๋‘˜์งธ, ์ธ์ง€ํ–‰๋™์š”๋ฒ•์„ ์ด์šฉํ•œ ๊ธˆ์—ฐํ”„๋กœ๊ทธ๋žจ ์‹ค์‹œ ํ›„ ์šฐ์šธ ๋ฐ˜์‘์˜ ๋ณ€ํ™”๋Š” ์‹คํ—˜ 1๊ตฐ(t=3.23, P=0.003)์—์„œ ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•œ ๊ฐ์†Œ๋ฅผ ๋ณด์˜€๋‹ค. ์‹คํ—˜ 2๊ตฐ ๋ฐ ๋Œ€์กฐ๊ตฐ์—์„œ๋„ ์šฐ์šธ ๋ฐ˜์‘์ด ์•ฝ๊ฐ„์˜ ๊ฐ์†Œ๋ฅผ ๋ณด์ด๊ณ  ์žˆ์œผ ๋‚˜ ๊ทธ๋ฃน๊ฐ„์˜ ์ฐจ์ด๋Š” ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•˜์ง€ ์•Š์•˜๋‹ค. ์…‹์งธ, ์ธ์ง€ํ–‰๋™์š”๋ฒ•์„ ์ด์šฉํ•œ ๊ธˆ์—ฐํ”„๋กœ๊ทธ๋žจ ์‹ค์‹œ ํ›„์— ์‹คํ—˜ 1๊ตฐ, ์‹คํ—˜ 2๊ตฐ ๋ฐ ๋Œ€์กฐ๊ตฐ์—์„œ ์ŠคํŠธ๋ ˆ์Šค ๋ฐ˜์‘์ด ์˜๋ฏธ ์žˆ๊ฒŒ ๊ฐ์†Œํ•˜์˜€์œผ๋ฉฐ ๋‹ค๋ณ€๋Ÿ‰ ๊ฒ€ ์ฆ์„ ํ†ตํ•œ ๋ถ„์„์—์„œ ๊ฐ ๊ทธ๋ฃน๊ฐ„ ์ŠคํŠธ๋ ˆ์Šค ๋ฐ˜์‘ ์„ธ๋ถ€ ํ•ญ๋ชฉ ์ค‘ ์‹คํ—˜ 1 ๊ตฐ์—์„œ๋Š” ์Šต๊ด€ํ–‰๋™ํ˜•ํƒœ( F=3.329, P=0.040) ํ•ญ๋ชฉ์ด, ์‹คํ—˜ 2๊ตฐ์—์„œ๋Š” ์ธ์‹๋ ฅ์ €ํ•˜๊ตฐ ํ•ญ๋ชฉ์ด (F=3.221, P=0.044) ์˜๋ฏธ ์žˆ๋Š” ๊ธ์ •์  ๋ณ€ํ™”๋ฅผ ๋ณด์˜€๋‹ค. ๋„ท์งธ, ๊ธˆ์—ฐํ–‰์œ„์˜ ๋ณ€ํ™”๋‹จ๊ณ„๋Š” ๊ธˆ์—ฐํ”„๋กœ๊ทธ๋žจ ์‹ค์‹œ ํ›„, ์‹คํ—˜ 1๊ตฐ๊ณผ ์‹คํ—˜ 2๊ตฐ์—์„œ ๊ฐ๊ฐ ๊ณ„ํš๋‹จ๊ณ„ ๋ฐ ์ค€๋น„๋‹จ๊ณ„๋กœ์˜ ์ดํ–‰์ด ๋†’์•˜์œผ๋‚˜ (48~50%) ๋Œ€์กฐ๊ตฐ์—์„œ๋Š” ์ค€๋น„๋‹จ๊ณ„๋กœ์˜ ์ดํ–‰์ด 19.4%๋กœ ๋น„๊ต์  ๋‚ฎ์•˜์œผ๋ฉฐ ํŠนํžˆ, ๊ณ„ํš์ „๋‹จ๊ณ„๋กœ์˜ ํ‡ดํ–‰์ด 2.8%๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์ด์ƒ์˜ ์—ฐ๊ตฌ๊ฒฐ๊ณผ๋ฅผ ์ข…ํ•ฉํ•˜๋ฉด ์ธ์ง€ํ–‰๋™์š”๋ฒ•์„ ์ด์šฉํ•œ ๊ธˆ์—ฐํ”„๋กœ๊ทธ๋žจ์€ ํŠน๋ณ„ํ•œ ์•ฝ๋ฌผ์˜ ํšจ๊ณผ์— ์˜์กดํ•˜์ง€ ์•Š์œผ๋ฉด์„œ๋„ ๊ธˆ์—ฐ์ธ์‹๊ณผ ํšจ๊ณผ๋ฅผ ํ–ฅ์ƒ์‹œ์ผœ ์ผ์ผ ํก์—ฐ๋Ÿ‰, ๋‹ˆ์ฝ”ํ‹ด ์˜์กด๋„ ๋ฐ ์šฐ์šธ ๋ฐ˜์‘์„ ๊ฐ์†Œ์‹œํ‚ค๊ณ  ์ŠคํŠธ๋ ˆ์Šค ๋ฐ˜์‘์„ ์™„ํ™”ํ•˜์˜€๋‹ค. ๋˜ํ•œ, ํก์—ฐ๊ณผ ๊ด€๋ จ๋œ ๋Œ€์ƒ์ž์˜ ์Šต๊ด€์  ํ–‰๋™ํ˜•ํƒœ์— ๊ธ์ •์  ๋ณ€ํ™”๋ฅผ ์ œ๊ณตํ•˜์˜€๋‹ค. ์ด๋Ÿฌํ•œ ์—ฐ๊ตฌ ๊ฒฐ๊ณผ๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ๊ตฐ๋Œ€์— ํ™•์‚ฐ๋˜๊ณ  ์žˆ๋Š” ๊ธˆ์—ฐ ์˜์ง€์— ํ˜ธ์‘ํ•  ์ˆ˜ ์žˆ์œผ๋ฉฐ ๋Œ€์ƒ์ž ๊ฐœ์ธ์˜ ํŠน์„ฑ๊ณผ ๊ธˆ์—ฐ ํ–‰์œ„์— ๋Œ€ํ•œ ์ดํ•ด๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ํ•˜๋Š” ๊ตฌ์ฒด์ ์ธ ๊ธˆ์—ฐ ํ”„๋กœ๊ทธ๋žจ์˜ ๊ฐœ๋ฐœ์ด ์š”๊ตฌ๋œ๋‹ค. ๊ธˆ์—ฐํ”„๋กœ๊ทธ๋žจ์— ๋Œ€ํ•œ ์žฅ๊ธฐ์ ์ธ ํšจ๊ณผ ๋ถ„์„ ๋˜ํ•œ ํ•„์š”ํ•˜๋ฉฐ ๊ตฐ ์˜๋ฃŒ์ธ๊ณผ ๋ถ€๋Œ€ ์ง€ํœ˜๊ด€์ด ์œ ๊ธฐ์ ์œผ๋กœ ์—ฐ๊ณ„๋˜์–ด ๊ตฐ ํŠน์„ฑ๊ณผ ์—ฌ๊ฑด์— ๋งž๋Š” ๊ธˆ์—ฐ ํ”„๋กœ๊ทธ๋žจ์„ ๊ฐœ๋ฐœํ•˜๊ณ  ์‹œํ–‰ํ•˜๋Š” ๋ฐฉ์•ˆ์ด ๋งˆ๋ จ๋œ๋‹ค๋ฉด ๊ตฐ์—์„œ์˜ ๊ธˆ์—ฐ์œจ์€ ๋งค์šฐ ํฐ ์„ฑ๊ณผ๋ฅผ ์–ป์„ ๊ฒƒ์œผ๋กœ ๊ธฐ๋Œ€๋œ๋‹ค. [์˜๋ฌธ] It is widely recognized that smoking poses serious health threats. However, despite of this fact, the percentage of smokers who were enrolled battalion remains steadily high(72.8%). Smoking is a high risk factor for various diseases and most important preventable cause of disease morbidity and mortality. Considering the high rate of smoking in the Army, it is a threat to the combat ability of soldiers who are responsible for the defense of this nation. So, it is necessary for the Army to have a health promotion program that include systemic and effective smoking cessation program. The purpose of this research was to develop smoking cessation program applying the cognitive behavior therapy which has proven to be effective in depression and the model of stage of change, defines smoking cessation. The sample for this study was consisted of 109 soldiers from Unit. OO. After the survey, the subjects at the contemplation stage for the smoking cessation were selected. They were randomly assigned into three group : experimental group 1 (cognitive behavioral smoking cessation program, 33 subjects),experimental group 2 (nicotine patch group : 38ใŽŽ nicotine patch, 40 subjects) and control group ( no treatment, 36 subjects) A Smoking cessation program for experimental group 1, 2 was continued for five days. The effects of this study was evaluated in terms of related factors such as the amount of daily dose of nicotine intake, the degree of nicotine dependency, reaction level to depression & stress and the stage of change about smoking cessation. Following main research results were obtained: 1) There was a significant decrease in daily intake of nicotine and nicotine dependence in the experimental 1 (cognitive behavioral smoking cessation program group) compared to experimental group 2 (nicotine patch group) and the control group after smoking cessation program. 2) There was a significant decrease in the level of depressive reaction in the experimental group 1 compared to the level of depression in the experimental group 2 and control group after smoking cessation program. 3) There was a significant decrease in the level of stress reaction in the experimental group 1, especially positive improvements were observed in the symptom of stress scale of habitual behavior. And positive improvements were also observed in the symptom of stress scale of perception level among the experimental group 2. 4) The stage of change was contemplation stage before the program, but it changed to contemplation & preparation stage among the experimental group 1, 2 after the smoking cessation program. However the stage of change was demoted to the precontemplation stage among the control group. From the result, the smoking cessation program applying cognitive behavior therapy can improve the need of anti-smoking recognition and its effects without the use of any drugs in the Army. The smoking cessation program applying cognitive behavior therapy decreased the amounts of daily dose of nicotine intake, the degree of nicotine dependency, level of depression and an sensitivity to stress. The research also suggested a positive transformation on one''s smoking related habitual behavior. Based on these results, this research can contribute significantly to the efforts of the Army to fight against smoking. There is a special need to develop an effective smoking cessation program that considers the individual''s smoking behavior and characteristics. Furthermore, long term analysis of the effects of the smoking cessation program applying cognitive behavior therapy is needed. A systematic cooperation between army medical staff and army commanders can provide an effective anti-smoking program which suits the needs of the current army setting. The decrease in smoking rate depends on the success of such the smoking cessation program.ope

    The effect of industrial disability ratings on income after industrial accidents

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    ๋ณด๊ฑด๋Œ€ํ•™์›๋ณธ ์—ฐ๊ตฌ๋Š” ์‚ฐ์žฌ์š”์–‘์ข…๊ฒฐ์ž๋ฅผ ๋Œ€์ƒ์œผ๋กœ ์‚ฐ์žฌ์žฅํ•ด๋“ฑ๊ธ‰์ด ์‚ฐ์žฌ์ดํ›„ ์†Œ๋“์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ์•Œ์•„๋ณด๊ณ ์ž ์‹œํ–‰ํ•˜์˜€๋‹ค. ๊ทผ๋กœ๋ณต์ง€๊ณต๋‹จ์˜ ์‚ฐ์žฌ๋ณดํ—˜ํŒจ๋„๋ฐ์ดํ„ฐ๋ฅผ ์ด์šฉํ•˜์—ฌ ๋ถ„์„ํ•˜์˜€๋‹ค. ์žฌํ•ด์ž์˜ ์ทจ์—… ๋ฐ ์ž์˜์—… ๋“ฑ ์žฌํ•ด์ž์˜ ๋…ธ๋™์„ ํ†ตํ•œ ๊ทผ๋กœ์†Œ๋“๊ณผ ์‚ฐ์žฌ์—ฐ๊ธˆ ๋ฐ ์ผ์‹œ๊ธˆ์ˆ˜์ž…์ธ ์‚ฐ์žฌ์†Œ๋“์œผ๋กœ ๊ตฌ๋ถ„ํ•˜์˜€์œผ๋ฉฐ, ์ด์†Œ๋“์€ ๊ทผ๋กœ์†Œ๋“๊ณผ ์‚ฐ์žฌ์†Œ๋“๋งŒ์„ ํ•ฉ์‚ฐํ•˜์˜€๋‹ค. ์‚ฐ์žฌ์žฅํ•ด๋“ฑ๊ธ‰์— ๋”ฐ๋ฅธ ๊ทผ๋กœ์†Œ๋“, ์‚ฐ์žฌ์†Œ๋“, ์ด์†Œ๋“ ๋ชจ๋‘ ์˜๋ฏธ ์žˆ๋Š” ์ฐจ์ด๊ฐ€ ์žˆ์—ˆ๋‹ค. ๊ทผ๋กœ์†Œ๋“์€ ์žฅํ•ด๋“ฑ๊ธ‰์ด ๋†’์„์ˆ˜๋ก ์ฆ‰, ์ค‘์ฆ์ผ์ˆ˜๋ก ๊ทผ๋กœ์†Œ๋“์ด ๋‚ฎ์•˜๋‹ค. ์‚ฐ์žฌ์†Œ๋“์€ 1โˆผ7๋“ฑ๊ธ‰๊ณผ 8โˆผ9๋“ฑ๊ธ‰ ์ง‘๋‹จ์ด 13โˆผ14๋“ฑ๊ธ‰๊ณผ ๋ฌด์žฅํ•ด ์ง‘๋‹จ๋ณด๋‹ค ๋†’์•˜์œผ๋ฉฐ ์ด์†Œ๋“์€ 8โˆผ9๋“ฑ๊ธ‰์ด 13โˆผ14๋“ฑ๊ธ‰ ์ง‘๋‹จ๋ณด๋‹ค ๋†’์•˜๋‹ค. ์‚ฐ์žฌ์ดํ›„ ์žฅํ•ด๋“ฑ๊ธ‰๋ณ„, ๊ฒฝ์ œํ™œ๋™์œ ํ˜•๋ณ„๋กœ ํ‰๊ท ์†Œ๋“๊ณผ ๊ทผ๋กœ์ž ํ‰๊ท ์ž„๊ธˆ์„ ๋น„๊ต ๋ถ„์„ํ•œ ๊ฒฐ๊ณผ ์žฅํ•ด๋“ฑ๊ธ‰๋ณ„ ํ‰๊ท ์†Œ๋“์ด ๊ฐ€์žฅ ๋†’์€ ์ง‘๋‹จ(8 ~ 9๋“ฑ๊ธ‰)์„ ์ œ์™ธํ•œ ๋ชจ๋“  ์žฅํ•ด๋“ฑ๊ธ‰ ์ง„๋‹จ์˜ ์†Œ๋“์ด ์ •๊ทœ๊ทผ๋กœ์ž ํ‰๊ท ์ž„๊ธˆ์— ๋น„ํ•˜์—ฌ ๋‚ฎ์•˜์œผ๋ฉฐ, ๊ฒฝ์ œํ™œ๋™์œ ํ˜•๋ณ„๋กœ๋Š” ์›์ง์žฅ๋ณต๊ท€์ž๋ฅผ ์ œ์™ธํ•œ ์›์ง์žฅ์™ธ๊ฒฝ์ œํ™œ๋™, ๋น„๊ฒฝ์ œํ™œ๋™์ž์˜ ํ‰๊ท ์†Œ๋“์ด ์ •๊ทœ๊ทผ๋กœ์ž ํ‰๊ท ์ž„๊ธˆ๋ณด๋‹ค ๋‚ฎ์•˜๋‹ค. ์ด์ฒ˜๋Ÿผ ์‚ฐ์žฌ์žฅํ•ด๋“ฑ๊ธ‰๊ณผ ์‚ฐ์žฌ์ข…๊ฒฐ์ดํ›„ ๊ฒฝ์ œํ™œ๋™์œ ํ˜•์— ๋”ฐ๋ผ ์†Œ๋“์— ์ฐจ์ด๊ฐ€ ์žˆ์—ˆ๋‹ค. ๋”ฐ๋ผ์„œ ํ–ฅํ›„ ์‚ฐ์žฌ๊ทผ๋กœ์ž์˜ ์†Œ๋“๋ณด์ „์„ ์œ„ํ•œ ๋ฐฉ์•ˆ์— ๋Œ€ํ•œ ์—ฐ๊ตฌ๊ฐ€ ํ•„์š”ํ•˜๋‹ค.open์„

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    A Study on Power Conversion Circuit Design for Three Phase Voltage-fed Inverter Drive

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    In recent years, with the development of power conversion circuit topologies using MOS gate controlled power semiconductor devices such as MOSFETs and IGBTs, and the increase in switching frequency of the inverter and converter, the controllability of the converter and undesired sound reduction and converter downsizing are achieved. Although, in the conventional hard-switching PWM semiconductor power conversion circuit systems, the increase of switching losses in the power semiconductor devices which is caused by the overlapping period of the voltage and the current in the switching power devices required big heat sink and these are becoming hot issue in power electronic industrial field. In addition to these, the conductive and radioactive electromagnetic noise arise due to the switching surge which results from dv/dt and di/dt. Moreover, in the inverter or converter which is applied to the variable speed AC motor or servo drives, high frequency leakage current which flows into the ground line through the stray capacitance among the stator winding frame of the motor, and the motor shaft voltage and the bearing current are another problems A basic solution for these problems are the soft switching and its related control techniques of the power converter which turn on and off the power semiconductor devices under zero voltage or zero current mode transitions using the active auxiliary quasi-resonant snubber. So far some circuit topologies have been proposed for the three phase voltage-fed soft switching inverter circuit such as quasi-resonant DC link, quasi-resonant AC link and auxiliary quasi-resonant commutation pole. In this paper, a new topology of boost PWM DC-DC converter is proposed and its operating principle is described on the basis of simulation and experimental results. And also auxiliary active quasi-resonant DC link snubber for the soft switching three phase voltage-fed inverter system is discussed here and evaluated for the soft switching of the quasi-resonant snubber circuit. A conductive noise of the three phase voltage-fed inverter using this quasi-resonant snubber is measured for permanent magnet (PM) motor drive, and it is compared with that of the conventional hard switching three phase inverter. Through a series of computer simulations and experiments, the effectiveness of the newly proposed and designed boost PWM DC-DC converter is confirmed.๋ชฉ ์ฐจ โ…ฐ ๊ทธ๋ฆผ ๋ชฉ์ฐจ โ…ฒ ํ‘œ ๋ชฉ์ฐจ โ…ต Abstract โ…ถ ์ œ 1 ์žฅ ์„œ ๋ก  1 ์ œ 2 ์žฅ ๊ณ ์ฃผํŒŒ ์Šค์œ„์นญ PWM ์ „๋ ฅ๋ณ€ํ™˜ ์ด๋ก  4 2.1 ๊ณ ์ฃผํŒŒ ์Šค์œ„์นญํ™”์˜ ํŠน์ง• 4 2.2 ์˜์ „์•• ์Šค์œ„์นญ(ZVS)๊ณผ ์˜์ „๋ฅ˜ ์Šค์œ„์นญ(ZCS)์˜ ๊ตฌ์กฐ 6 2.3 CCM๋ฐฉ์‹๊ณผ DCM๋ฐฉ์‹์˜ ์›๋ฆฌ 10 2.4 PRS2M ์Šค์œ„์นญ ๊ธฐ๋ฒ• 13 2.5 ๋ณด์กฐ๊ณต์ง„ํšŒ๋กœ์˜ ํŒŒ๋ผ๋ฏธํ„ฐ ์„ค๊ณ„๋ฒ• 16 2.6 3์ƒ ์ „์••ํ˜• ์†Œํ”„ํŠธ ์Šค์œ„์นญ ์ธ๋ฒ„ํ„ฐ ํšŒ๋กœ๊ตฌ์„ฑ 20 2.7 ์ˆœ์‹œ ๊ณต๊ฐ„ ๋ฒกํ„ฐ ๋ณ€์กฐ๋ฒ• 26 2.8 ์ธ๋ฒ„ํ„ฐ์— ๋Œ€ํ•œ ์ถœ๋ ฅ์ง€๋ น์ „์••์˜ ์‹คํ˜„ 30 2.8.1 ์ธ๋ฒ„ํ„ฐ ์ถœ๋ ฅ์ „์••์˜ ์ˆœ์‹œ๊ณต๊ฐ„ ๋ฒกํ„ฐ ์ถฉ์ „ 30 2.8.2 ์ƒ˜ํ”Œ๋ง ์‹œ๊ฐ„์‹œ ๋ถ„ํ•  ์ถœ๋ ฅ๋ฒ• 32 ์ œ 3 ์žฅ ์ œ์•ˆํ•œ 3์ƒ ์ „์••ํ˜• ์ธ๋ฒ„ํ„ฐ ๊ตฌ๋™์šฉ ์ „๋ ฅ๋ณ€ํ™˜ํšŒ๋กœ 36 3.1 ์Šน์••ํ˜• PWM ์ตธํผํšŒ๋กœ 37 3.1.1 ํšŒ๋กœ๊ตฌ์„ฑ ๋ฐ ๋™์ž‘์›๋ฆฌ 37 3.1.2 ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฒฐ๊ณผ ๋ฐ ๊ฒ€ํ†  41 3.2 ๋ณด์กฐ ์•กํ‹ฐ๋ธŒ ๊ณต์ง„ ์ง๋ฅ˜๋งํฌ ์Šค๋„ˆ๋ฒ„ ํšŒ๋กœ 46 3.2.1 ํšŒ๋กœ๊ตฌ์„ฑ ๋ฐ ๋™์ž‘์›๋ฆฌ 46 3.2.2 ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฒฐ๊ณผ ๋ฐ ๊ฒ€ํ†  51 ์ œ 4 ์žฅ ์‹คํ—˜ ๋ฐ ๊ฒฐ๊ณผ ๊ฒ€ํ†  60 4.1 ์Šน์••ํ˜• PWM ์ตธํผํšŒ๋กœ 60 4.2 ๋ณด์กฐ ์•กํ‹ฐ๋ธŒ ๊ณต์ง„ ์ง๋ฅ˜๋งํฌ ์Šค๋„ˆ๋ฒ„ ํšŒ๋กœ 63 4.2.1 ์˜์ „์•• ๊ฒ€์ถœํšŒ๋กœ ๋ฐ ์ž…๋ ฅ์ „์•• ๊ฒ€์ถœํšŒ๋กœ 64 4.2.2 ๊ณต์ง„ ์ดˆ๊ธฐ ์ „๋ฅ˜๊ฐ’ ์„ค์ • ํšŒ๋กœ 65 4.2.3 3์ƒ ์ „์••ํ˜• ์ธ๋ฒ„ํ„ฐ์™€ ๋ณด์กฐ ์Šค์œ„์น˜ ๊ฒŒ์ดํŠธ์‹ ํ˜ธ ๋ฐœ์ƒํšŒ๋กœ 66 4.3 ์‹คํ—˜๊ฒฐ๊ณผ ๋ฐ ๊ฒ€ํ†  70 4.3.1 ์Šน์••ํ˜• ์†Œํ”„ํŠธ ์Šค์œ„์นญ PWM ์ดˆํผํšŒ๋กœ ์‹คํ—˜ํŒŒํ˜• 70 4.3.2 ๋ณด์กฐ ์•กํ‹ฐ๋ธŒ ์ง๋ฅ˜๋งํฌ ์Šค๋„ˆ๋ฒ„ํšŒ๋กœ ์‹คํ—˜ํŒŒํ˜• 77 ์ œ 5 ์žฅ ๊ฒฐ ๋ก  87 ์ฐธ ๊ณ  ๋ฌธ ํ—Œ 89 ๋ถ€ ๋ก 9

    ๊ฐ„์„ญ์ด ์กด์žฌํ•˜๋Š” ์–‘๋ฐฉํ–ฅ ์ค‘๊ณ„๋„คํŠธ์›Œํฌ์—์„œ์˜ ์‚ฌ์šฉ์ž์„ ํƒ์„ ํ†ตํ•œ ๋ถˆ๋Šฅํ™•๋ฅ  ๋ถ„์„

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์ „๊ธฐยท์ปดํ“จํ„ฐ๊ณตํ•™๋ถ€, 2014. 2. ์ด์žฌํ™.In this thesis, we analyze the outage performance for a two-way relay network where one end-user intends to exchange the information with one out of multiple users with the aid of one relay. In the proposed scheme, one user is selected in order to improve the outage performance. Simulation results show that as the number of users increases and the number of interferers decreases, the outage performance improves.Chapter 1 Introduction Chapter 2 System Model Chapter 3 Outage Probability Analysis Chapter 4 Simulation Results Chapter 5 ConclusionMaste
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