31 research outputs found

    Diels-Alder๋ฐ˜์‘์„ ์ด์šฉํ•œ Norbornene์˜ ํ•ฉ์„ฑ

    No full text
    Thesis (master`s)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :์‘์šฉํ™”ํ•™๋ถ€,2003.This thesis is concerned with the synthesis of norbornene via Diels- Alder reaction of cyclopentadiene with ethylene. For this, we have carried out preliminary thermodynamic study to estimate the preferred reaction temperature on the basis of thermodynamic properties. The calculation indicates that the postulated range of the reaction temperature is 201-272oC. In thermal reaction, the reaction performance was influenced by temperature, pressure, solvent, and initial reactant concentration. Within the scope of the present study, the optimum conditions were found to be 260oC and 1000psi with aromatic solvent and low initial concentration of dicyclopentadiene. Although catalytic reactions have also been examined to probe the viability of the catalytic reaction under mild reaction conditions, it is revealed that catalytic activities were very low and thus it seems that the use of catalyst has little advantage over the corresponding thermal reaction. The kinetic study has been performed to calculate the kinetic parameters (reaction orders and rate constants) using the postulated kinetic mechanism. The kinetic model with the estimated parameters could predict the experimental results well. From the calculated parameters at various temperatures and pressures, the apparent activation energy value and reaction orders were obtained. The apparent activation energy of Diels-Alder reaction of cyclopentadiene with ethylene was found to be 59 ยฑ 3 kJ/mole, and empirical orders of the reaction with respect to the partial pressure of ethylene and the concentration of cyclopentadiene were estimated to be 1.09 ยฑ 0.03 and 0.84 ยฑ 0.02, respectively.Maste

    ์ƒ์ฒด๋‚ด ํšจ์†Œ๋ฐ˜์‘ ๊ทœ๋ช…์„ ์œ„ํ•œ C-laveled thiamine์˜ ํ•ฉ์„ฑ๊ณผ ํ•ญ์•”, ํ•ญ๋ฐ”์ด๋Ÿฌ์Šค ์•ฝํšจ๋ฅผ ๊ฐ€์ง„ ์ƒˆ๋กœ์šด isonucleosides์˜ ํ•ฉ์„ฑ

    No full text
    Thesis (doctoral)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :ํ™”ํ•™๊ณผ ์œ ๊ธฐํ™”ํ•™์ „๊ณต,1996.Docto

    Numerical and Experimental Research for Thrust Enhancement of Four Rotor Cyclocopter

    No full text
    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ) --์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :๊ธฐ๊ณ„ํ•ญ๊ณต๊ณตํ•™๋ถ€,2010.2.Maste

    Joint identification of differentially expressed gene and phenotype associated genes

    No full text
    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ํ˜‘๋™๊ณผ์ • ์ƒ๋ฌผ์ •๋ณดํ•™์ „๊ณต, 2013. 2. ๋ฐ•ํƒœ์„ฑ.The emergence of a wide variety of new techniques has led to the production of diverse types of biological data. Among them microarray technology has brought innovative changes in biological field and is still most commonly used in various research fields. For the last decade, many analytical methods and tools have been developed. In general, the detection of differentially expressed genes (DEGs) among different treatment groups is often a primary purpose of microarray data analysis. In addition, the association studies investigating the relationship between genes and the phenotype of interest such as survival time became also popular in microarray data analysis. Such association analysis provides the list of phenotype associated genes (PAGs). In this study, I consider a joint identification of DEGs and PAGs in microarray data analyses. The first approach is a naรฏve approach which detects DEGs and PAGs separately, and then identifies the intersection genes of PAGs and DEGs. The second approach is a hierarchical approach which detects DEGs first and then chooses PAGs among DEGs, or visa versa. I propose a new model-based approach for a joint identification of DEGs and PAGs simultaneously. Through a real microarray data analysis, I show that our model-based approach provides a more powerful result than the naรฏve approach and the hierarchical approach.Abstract Content List if Tables List of Figures 1. Introduction 1. 1. Microarray technology 1. 2. DEGs and PAGs 1. 3. Purpose of research 2. Materials and Methods 2. 1. Data 2. 2. DEG detection 2. 3. PAG detection 2. 4. Joint identification 3. Result 3. 1. DEGs 3. 2. PAGs 3. 3. Joint identification 4. Simulation study 5. Discussion 6. Reference Abstract(๊ตญ๋ฌธ์ดˆ๋ก)Maste

    CCPM applied Material Procurement Management Process to Shorten the Duration of Piping Construction : A Case Study on Petrochemical Plants

    No full text
    MasterThe objective of this study is to propose a piping construction delay prevention methodology for overseas petro-chemical plant projects execution, based on Critical Chain Project Management (CCPM). Owing to the fact that piping construction is a major part of any plant project and has important relationships with other aspects of the construction project, it is quite clear that an effective methodology for piping construction scheduling is essential. Results from recent studies reveal that the Program Evaluation and Review Technique and Critical Path Method (PERT/CPM) traditionally used for scheduling has critical limitations regarding resource scarcity, calculation of activity duration, and dealing with uncertainties. To overcome these limitations, the use of the Theory of Constrains (TOC)-based CCPM has been proposed to provide schedule buffer management. This study extends the knowledge of traditional resource buffer in CCPM toward material management to avoid shortage of piping materials and minimize delay at the project site. In this study, the performance of the proposed method was validated using two commercially available software tools: MS project and @Risk (stochastic simulation). This study uses data from a recently completed project and attempts to determine the appropriateness of the proposed method as a management technique for handling pipeline construction scheduling. In this study model, three major factors were considered as prerequisite conditions for the on-time completion of a piping construction project, namely effective use of limited number of welders, proper estimation of working time, and suitable work planning to ensure availability of materials. The following steps were implemented in the CCPM scheduling technique. First, welders were assigned according to the CPM-based technique without assigned to multiple tasks in the same period. Second, activity duration was adjusted considering the actual work time to complete a given task; the residual time (safety margin) was determined and inserted as the project buffer at the end of the project in accordance with CCPM technique. Finally, the extended resource buffer was inserted in the technique and processed using the proposed task implementation procedure. The results of the simulation show that the proposed CCPM method is effective in reducing the duration of piping construction when compared to the traditional PERT/CPM method. Compared to the CPM-based technique, the proposed method reduced the duration of the project (i.e. crude system unit) by approximately 35% for a 50% safety margin. The proposed material management method could provide an effective workflow to initiate piping construction related tasks on time. The proposed method could be successfully applied as a risk management technique for piping construction on the project site in the future. The study provides a useful platform to manage piping installation projects, eliminate potential project delay, and enable project teams to effectively utilize limited human and material resources using the CCPM technique combined with material management process.๋ฐฐ๊ด€ ์„ค์น˜ ๊ณต์‚ฌ๋Š” ์—ฌ๋Ÿฌ ๊ณต์ข…๊ณผ ์„ ํ›„ํ–‰ ๊ด€๊ณ„๋ฅผ ๊ฐ€์ง€๋ฉฐ ํ”Œ๋žœํŠธ ๊ฑด์„ค ํ”„๋กœ์ ํŠธ์—์„œ ํฐ ๋น„์ค‘์„ ์ฐจ์ง€ํ•˜๊ณ  ์žˆ๊ธฐ ๋•Œ๋ฌธ์— ๋ฐฐ๊ด€ ์„ค์น˜ ๊ณต์‚ฌ์˜ ํšจ์œจ์ ์ธ ๊ณต์ • ๊ด€๋ฆฌ๋Š” EPC (Plant) ํ”„๋กœ์ ํŠธ ๊ด€๋ฆฌ์˜ ํ•„์ˆ˜์ ์ธ ์š”์†Œ๋ผ๊ณ  ๋งํ•  ์ˆ˜ ์žˆ๋‹ค. ๊ทผ๋ž˜์— ์ž์›์˜ ์ œ์•ฝ, ๋น„ํšจ์œจ์ ์ธ ์ž‘์—… ๊ธฐ๊ฐ„ ์‚ฐ์ • ๊ทธ๋ฆฌ๊ณ  ๋ถˆํ™•์‹ค์„ฑ์— ๋Œ€ํ•œ ๋Œ€์ฒ˜๊ฐ€ ๊ณต์ •๊ด€๋ฆฌ ๊ธฐ๋ฒ•์—์„œ ์ „ํ†ต์ ์ธ ๋ฐฉ๋ฒ•์œผ๋กœ ์‚ฌ์šฉ๋˜์—ˆ๋˜ PERT/CPM ์˜ ํ•œ๊ณ„์ ์œผ๋กœ ์ธ์‹๋˜๋ฉฐ ์ด์— ๋Œ€ํ•œ ๋งŽ์€ ์—ฐ๊ตฌ๊ฐ€ ์ง„ํ–‰๋˜์–ด ์™”์œผ๋ฉฐ ์ด๋Ÿฌํ•œ ์ œ์•ฝ์„ ๊ทน๋ณต์„ ํ•˜๊ธฐ ์œ„ํ•˜์—ฌ Goldratt ๋ฐ•์‚ฌ๋Š” ์ž์›์˜ ๊ฒฝํ•ฉ ํ•ด๊ฒฐ ๋ฐ ๋ฒ„ํผ ๋„์ž…์„ ํ†ตํ•œ TOC ๊ธฐ๋ฐ˜์˜ CCPM ๊ธฐ๋ฒ•์„ ์ œ์•ˆํ•˜์˜€๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ํšจ์œจ์ ์ธ ๊ณต์ •๊ด€๋ฆฌ๋กœ ๊ณต์‚ฌ ์™„๋ฃŒ ์ง€์—ฐ์„ ๋ฐฉ์ง€ํ•˜๊ธฐ ์œ„ํ•˜์—ฌ ๊ธฐ์กด CCPM ๊ธฐ๋ฒ•์„ ํ”Œ๋žœํŠธ ๋ฐฐ๊ด€ ๊ณต์‚ฌ ํ”„๋กœ์ ํŠธ์— ์ ์šฉํ•˜์˜€๊ณ  ๊ธฐ์กด CCPM ๊ธฐ๋ฒ•์—์„œ ์‚ฌ์šฉํ•˜๋˜ ์ž์› ๋ฒ„ํผ์˜ ๊ฐœ๋…์„ ํ™•์žฅํ•˜์—ฌ ๋ฐฐ๊ด€ ์„ค์น˜ ๊ณต์‚ฌ์˜ ์ž‘์—… ์ง€์—ฐ์„ ๊ฒฐ์ •ํ•˜๋Š” ๊ฐ€์žฅ ํฐ ์š”์†Œ์ธ ์ž์žฌ ๋ถ€์กฑ ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•˜๊ณ ์ž ํ•˜์˜€๋‹ค. ์„ฑ๊ณต์ ์ธ ๋ฐฐ๊ด€ ์„ค์น˜ ๊ณต์‚ฌ๋ฅผ ์œ„ํ•œ ์ „์ œ ์กฐ๊ฑด์œผ๋กœ ์ œํ•œ์ ์œผ๋กœ ๊ณต๊ธ‰๋˜๋Š” ์šฉ์ ‘ ์ธ๋ ฅ, ์ž‘์—… ๊ธฐ๊ฐ„์˜ ์ ์ ˆํ•œ ์‚ฐ์ • ๊ทธ๋ฆฌ๊ณ  ์ž‘์—… ์‹œ์ž‘ ์ง€์—ฐ์„ ๋ฐฉ์ง€ํ•˜๋Š” ์ž์žฌ ๋ถ€์กฑ ๋ฌธ์ œ ์ด ์„ธ๊ฐ€์ง€ ์š”์ธ์œผ๋กœ ๊ทœ์ •ํ•˜๊ณ  ์—ฐ๊ตฌ์— ๊ณ ๋ คํ•˜์˜€๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™์€ ๋ฐฉ๋ฒ•์œผ๋กœ CCPM ๊ธฐ๋ฒ•์˜ ๊ณต์ • ๋ถ„์„ ์—ฐ๊ตฌ๋ฅผ ์ˆ˜ํ–‰ํ•˜์˜€๋‹ค. ์ฒซ์งธ๋กœ ์šฉ์ ‘์‚ฌ๋ฅผ CPM ๊ธฐ๋ฐ˜ ์ผ์ •์— ์ž‘์—… ์ค‘๋ณต์—†์ด ๋ฐฐ์น˜ํ•œ๋‹ค. ๋‘˜์งธ๋กœ ์ž‘์—… ๊ธฐ๊ฐ„ ์‚ฐ์ • ์‹œ ์ž‘์—…์„ ์™„๋ฃŒํ•˜๊ธฐ ์œ„ํ•˜์—ฌ CPM ๊ธฐ๋ฐ˜์œผ๋กœ ์‚ฐ์ •๋œ ์ž‘์—… ๊ธฐ๊ฐ„์—์„œ ํ•„์š”ํ•œ ์ˆœ์ˆ˜ ์ž‘์—… ์‹œ๊ฐ„์„ ๊ณ ๋ คํ•˜์—ฌ ์ž‘์—… ๊ธฐ๊ฐ„์„ ์‚ฐ์ •ํ•˜๊ณ  ๋‚˜๋จธ์ง€๋Š” ์•ˆ์ „ ์—ฌ์œ  ๊ธฐ๊ฐ„์œผ๋กœ CCPM ๊ธฐ๋ฒ•์— ๋”ฐ๋ผ ํ”„๋กœ์ ํŠธ ์ผ์ • ๋์œผ๋กœ ๋ฐฐ์ •ํ•œ๋‹ค. ๋งˆ์ง€๋ง‰์œผ๋กœ ํ™•์žฅ๋œ ์ž์› ๋ฒ„ํผ๋ฅผ ์ผ์ •์— ์‚ฝ์ž…ํ•˜๊ณ  ์ œ์•ˆ๋œ ์—…๋ฌด ํ”„๋กœ์„ธ์Šค๋ฅผ ํ†ตํ•˜์—ฌ ์ˆ˜ํ–‰๋  ์ˆ˜ ์žˆ๋„๋ก ํ•œ๋‹ค. ๋ถ„์„ ์‹œ, ํ˜„์‹ค์ ์ธ ์š”์†Œ๋ฅผ ๋ฐ˜์˜ํ•˜๊ธฐ ์œ„ํ•˜์—ฌ ์•ˆ์ „ ์—ฌ์œ  ๊ธฐ๊ฐ„์„ ์ค„์—ฌ ์ž‘์—… ์‹œ๊ฐ„์„ ๋Š˜๋ฆฌ๋Š” ๋ฐฉ๋ฒ•์œผ๋กœ ๋ถ„์„ ์ผ€์ด์Šค๋ฅผ ์ค€๋น„ํ•˜์˜€๋‹ค. ์—ฐ๊ตฌ ๋ชจ๋ธ์˜ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฒ€์ฆ ๊ฒฐ๊ณผ, CPM ๊ธฐ๋ฐ˜์˜ ์ผ์ •๊ณผ ๋น„๊ตํ•˜์—ฌ CCPM ์—ฐ๊ตฌ ๋ชจ๋ธ์€ 50% ์•ˆ์ „ ์—ฌ์œ ๋ฅผ ๊ณ ๋ คํ•œ ์ผ์ • ๊ธฐ์ค€์œผ๋กœ 35% ๊ณต๊ธฐ ์ ˆ๊ฐ ํšจ๊ณผ๋ฅผ ๋ณด์˜€๋‹ค. ๋˜ํ•œ ์—ฐ๊ตฌ ๋ชจ๋ธ์—์„œ ์ œ์•ˆ ๋œ ํ˜„์žฅ์˜ ๋ฐฐ๊ด€ ์ž์žฌ ๊ด€๋ฆฌ๋ฅผ ์œ„ํ•œ ์—…๋ฌด ์ ˆ์ฐจ๋Š” ๋ฆฌ์Šคํฌ ๊ด€๋ฆฌ์— ํšจ๊ณผ์ ์ด๊ณ  ๋ฐฐ๊ด€ ์„ค์น˜ ๊ณต์‚ฌ์—์„œ ๊ณต๊ธฐ ์—ฐ์žฅ์„ ํ”ผํ•  ์ˆ˜ ์žˆ๋Š” ์œ ์šฉํ•œ ํ˜„์—… ๋„๊ตฌ๋กœ ์‚ฌ์šฉ๋  ์ˆ˜ ์žˆ๊ณ  ๋ฒ„ํผ ๊ด€๋ฆฌ์™€ ์ž์žฌ ๊ด€๋ฆฌ ์ ˆ์ฐจ๋ฅผ ํ†ตํ•˜์—ฌ ํ”„๋กœ์ ํŠธ ์ฐธ์—ฌ์ž๋“ค์ด ์ œํ•œ๋œ ์ธ๋ ฅ ๊ด€๋ฆฌ์™€ ๋ฐฐ๊ด€ ์ž์žฌ๋ฅผ ํšจ์œจ์ ์œผ๋กœ ๊ด€๋ฆฌ ํ•  ์ˆ˜ ์žˆ์Œ์„ ํ™•์ธํ•˜์˜€๋‹ค
    corecore