31 research outputs found
Diels-Alder๋ฐ์์ ์ด์ฉํ Norbornene์ ํฉ์ฑ
Thesis (master`s)--์์ธ๋ํ๊ต ๋ํ์ :์์ฉํํ๋ถ,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
์์ฒด๋ด ํจ์๋ฐ์ ๊ท๋ช ์ ์ํ C-laveled thiamine์ ํฉ์ฑ๊ณผ ํญ์, ํญ๋ฐ์ด๋ฌ์ค ์ฝํจ๋ฅผ ๊ฐ์ง ์๋ก์ด isonucleosides์ ํฉ์ฑ
Thesis (doctoral)--์์ธ๋ํ๊ต ๋ํ์ :ํํ๊ณผ ์ ๊ธฐํํ์ ๊ณต,1996.Docto
Numerical and Experimental Research for Thrust Enhancement of Four Rotor Cyclocopter
ํ์๋
ผ๋ฌธ(์์ฌ) --์์ธ๋ํ๊ต ๋ํ์ :๊ธฐ๊ณํญ๊ณต๊ณตํ๋ถ,2010.2.Maste
Joint identification of differentially expressed gene and phenotype associated genes
ํ์๋
ผ๋ฌธ (์์ฌ)-- ์์ธ๋ํ๊ต ๋ํ์ : ํ๋๊ณผ์ ์๋ฌผ์ ๋ณดํ์ ๊ณต, 2013. 2. ๋ฐํ์ฑ.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(๊ตญ๋ฌธ์ด๋ก)Maste
CCPM applied Material Procurement Management Process to Shorten the Duration of Piping Construction : A Case Study on Petrochemical Plants
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 ๊ณต์ฌ๋ ์ฌ๋ฌ ๊ณต์ข
๊ณผ ์ ํํ ๊ด๊ณ๋ฅผ ๊ฐ์ง๋ฉฐ ํ๋ํธ ๊ฑด์ค ํ๋ก์ ํธ์์ ํฐ ๋น์ค์ ์ฐจ์งํ๊ณ ์๊ธฐ ๋๋ฌธ์ ๋ฐฐ๊ด ์ค์น ๊ณต์ฌ์ ํจ์จ์ ์ธ ๊ณต์ ๊ด๋ฆฌ๋ EPC (Plant) ํ๋ก์ ํธ ๊ด๋ฆฌ์ ํ์์ ์ธ ์์๋ผ๊ณ ๋งํ ์ ์๋ค.
๊ทผ๋์ ์์์ ์ ์ฝ, ๋นํจ์จ์ ์ธ ์์
๊ธฐ๊ฐ ์ฐ์ ๊ทธ๋ฆฌ๊ณ ๋ถํ์ค์ฑ์ ๋ํ ๋์ฒ๊ฐ ๊ณต์ ๊ด๋ฆฌ ๊ธฐ๋ฒ์์ ์ ํต์ ์ธ ๋ฐฉ๋ฒ์ผ๋ก ์ฌ์ฉ๋์๋ PERT/CPM ์ ํ๊ณ์ ์ผ๋ก ์ธ์๋๋ฉฐ ์ด์ ๋ํ ๋ง์ ์ฐ๊ตฌ๊ฐ ์งํ๋์ด ์์ผ๋ฉฐ ์ด๋ฌํ ์ ์ฝ์ ๊ทน๋ณต์ ํ๊ธฐ ์ํ์ฌ Goldratt ๋ฐ์ฌ๋ ์์์ ๊ฒฝํฉ ํด๊ฒฐ ๋ฐ ๋ฒํผ ๋์
์ ํตํ TOC ๊ธฐ๋ฐ์ CCPM ๊ธฐ๋ฒ์ ์ ์ํ์๋ค.
๋ณธ ์ฐ๊ตฌ๋ ํจ์จ์ ์ธ ๊ณต์ ๊ด๋ฆฌ๋ก ๊ณต์ฌ ์๋ฃ ์ง์ฐ์ ๋ฐฉ์งํ๊ธฐ ์ํ์ฌ ๊ธฐ์กด CCPM ๊ธฐ๋ฒ์ ํ๋ํธ ๋ฐฐ๊ด ๊ณต์ฌ ํ๋ก์ ํธ์ ์ ์ฉํ์๊ณ ๊ธฐ์กด CCPM ๊ธฐ๋ฒ์์ ์ฌ์ฉํ๋ ์์ ๋ฒํผ์ ๊ฐ๋
์ ํ์ฅํ์ฌ ๋ฐฐ๊ด ์ค์น ๊ณต์ฌ์ ์์
์ง์ฐ์ ๊ฒฐ์ ํ๋ ๊ฐ์ฅ ํฐ ์์์ธ ์์ฌ ๋ถ์กฑ ๋ฌธ์ ๋ฅผ ํด๊ฒฐํ๊ณ ์ ํ์๋ค. ์ฑ๊ณต์ ์ธ ๋ฐฐ๊ด ์ค์น ๊ณต์ฌ๋ฅผ ์ํ ์ ์ ์กฐ๊ฑด์ผ๋ก ์ ํ์ ์ผ๋ก ๊ณต๊ธ๋๋ ์ฉ์ ์ธ๋ ฅ, ์์
๊ธฐ๊ฐ์ ์ ์ ํ ์ฐ์ ๊ทธ๋ฆฌ๊ณ ์์
์์ ์ง์ฐ์ ๋ฐฉ์งํ๋ ์์ฌ ๋ถ์กฑ ๋ฌธ์ ์ด ์ธ๊ฐ์ง ์์ธ์ผ๋ก ๊ท์ ํ๊ณ ์ฐ๊ตฌ์ ๊ณ ๋ คํ์๋ค.
๋ณธ ์ฐ๊ตฌ๋ ๋ค์๊ณผ ๊ฐ์ ๋ฐฉ๋ฒ์ผ๋ก CCPM ๊ธฐ๋ฒ์ ๊ณต์ ๋ถ์ ์ฐ๊ตฌ๋ฅผ ์ํํ์๋ค. ์ฒซ์งธ๋ก ์ฉ์ ์ฌ๋ฅผ CPM ๊ธฐ๋ฐ ์ผ์ ์ ์์
์ค๋ณต์์ด ๋ฐฐ์นํ๋ค. ๋์งธ๋ก ์์
๊ธฐ๊ฐ ์ฐ์ ์ ์์
์ ์๋ฃํ๊ธฐ ์ํ์ฌ CPM ๊ธฐ๋ฐ์ผ๋ก ์ฐ์ ๋ ์์
๊ธฐ๊ฐ์์ ํ์ํ ์์ ์์
์๊ฐ์ ๊ณ ๋ คํ์ฌ ์์
๊ธฐ๊ฐ์ ์ฐ์ ํ๊ณ ๋๋จธ์ง๋ ์์ ์ฌ์ ๊ธฐ๊ฐ์ผ๋ก CCPM ๊ธฐ๋ฒ์ ๋ฐ๋ผ ํ๋ก์ ํธ ์ผ์ ๋์ผ๋ก ๋ฐฐ์ ํ๋ค. ๋ง์ง๋ง์ผ๋ก ํ์ฅ๋ ์์ ๋ฒํผ๋ฅผ ์ผ์ ์ ์ฝ์
ํ๊ณ ์ ์๋ ์
๋ฌด ํ๋ก์ธ์ค๋ฅผ ํตํ์ฌ ์ํ๋ ์ ์๋๋ก ํ๋ค. ๋ถ์ ์, ํ์ค์ ์ธ ์์๋ฅผ ๋ฐ์ํ๊ธฐ ์ํ์ฌ ์์ ์ฌ์ ๊ธฐ๊ฐ์ ์ค์ฌ ์์
์๊ฐ์ ๋๋ฆฌ๋ ๋ฐฉ๋ฒ์ผ๋ก ๋ถ์ ์ผ์ด์ค๋ฅผ ์ค๋นํ์๋ค.
์ฐ๊ตฌ ๋ชจ๋ธ์ ์๋ฎฌ๋ ์ด์
๊ฒ์ฆ ๊ฒฐ๊ณผ, CPM ๊ธฐ๋ฐ์ ์ผ์ ๊ณผ ๋น๊ตํ์ฌ CCPM ์ฐ๊ตฌ ๋ชจ๋ธ์ 50% ์์ ์ฌ์ ๋ฅผ ๊ณ ๋ คํ ์ผ์ ๊ธฐ์ค์ผ๋ก 35% ๊ณต๊ธฐ ์ ๊ฐ ํจ๊ณผ๋ฅผ ๋ณด์๋ค. ๋ํ ์ฐ๊ตฌ ๋ชจ๋ธ์์ ์ ์ ๋ ํ์ฅ์ ๋ฐฐ๊ด ์์ฌ ๊ด๋ฆฌ๋ฅผ ์ํ ์
๋ฌด ์ ์ฐจ๋ ๋ฆฌ์คํฌ ๊ด๋ฆฌ์ ํจ๊ณผ์ ์ด๊ณ ๋ฐฐ๊ด ์ค์น ๊ณต์ฌ์์ ๊ณต๊ธฐ ์ฐ์ฅ์ ํผํ ์ ์๋ ์ ์ฉํ ํ์
๋๊ตฌ๋ก ์ฌ์ฉ๋ ์ ์๊ณ ๋ฒํผ ๊ด๋ฆฌ์ ์์ฌ ๊ด๋ฆฌ ์ ์ฐจ๋ฅผ ํตํ์ฌ ํ๋ก์ ํธ ์ฐธ์ฌ์๋ค์ด ์ ํ๋ ์ธ๋ ฅ ๊ด๋ฆฌ์ ๋ฐฐ๊ด ์์ฌ๋ฅผ ํจ์จ์ ์ผ๋ก ๊ด๋ฆฌ ํ ์ ์์์ ํ์ธํ์๋ค
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