Master’s Thesis(Ph. D. Dissertation)

Thesis(Dissertation) Title

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John Doe(Name in submitter's native language)

Division of~, Department of~

KAIST

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Thesis(Dissertation) Title

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Thesis(Dissertation) Title
	Advisor : Professor OOO Co-advisor : Professor OOO
by
OOO [student name] Department of- [in case of departments] Division of-, Department of- [in case of majors in departments] Division of- or -Program [in case of majors] KAIST
A thesis submitted to the faculty of KAIST in partial fulfillment of the requirements for the degree of [Master of Science; Master of Science in Engineering; Master of Business Administration; or Doctor of Philosophy (in case of doctoral degrees)] in the [Department of- (in case of departments); Division of-, Department of- (in case of majors in departments); or Division of- or -Program (in case of majors)]. The study was conducted in accordance with Code of Research Ethics Declaration of Ethical Conduct in Research: I, as a graduate student of KAIST, hereby declare that I have not committed any acts that may damage the credibility of my research. These include, but are not limited to: falsification, thesis written by someone else, distortion of research findings or plagiarism. I affirm that my thesis contains honest conclusions based on my own careful research under the guidance of my thesis advisor.
Note) * Must written in English * Font size: title 21 pt; elsewhere 14 pt, footnote 10pt. (font size may be adjusted) * Co-advisor: This applies only to cases where there in fact are co-advisors. The date designates the date on which the present form is signed. * Major Advisor: The co-advisor (committee head) must sign the form in case the advisor is absent. * The English names of departments/majors, including interdisciplinary ones, must be identical to those in the Table of English Names for Departments/Majors (p. 4). * The word “Professor” must be written before the “Advisor” and “Co-advisor” categories. The submitter’s academic advisor must be indicated as a “Major Advisor” only when there are co-advisors. ☞ Please delete this Note before printing		○. ○. ○○○○ [Date] Approved by Professor ○ ○ ○ (Seal or signature) [Major Advisor]

Thesis(Dissertation) Title
John Doe
The present dissertation has been approved by the dissertation committee as a master’s thesis[Ph. D. dissertation] at KAIST
Note) * Font size: title 21 pt; researcher name 16 pt; elsewhere 14 pt (font size may be adjusted) * The 2 hardcover editions to be submitted must bear the actual seals or signatures of the dissertation committee members including the committee head (master’s dissertation: 3 seals or signatures; doctoral dissertation: 5 seals or signatures). Photocopies of seals or signatures are prohibited. * The date designates the date on which the dissertation is approved. * The actual seals can be replaced with signatures. ☞ Please delete this Note before printing
○ (Month) ○ (Day), ○○○○ (Year)
Committee head Committee member Committee member Committee member Committee member	○ ○ ○(seal or signature) ○ ○ ○(seal or signature) Master’s ○ ○ ○(seal or signature) ○ ○ ○(seal or signature) ○ ○ ○(seal or signature)

Degree		이 용 진. Lee, Yong Jin. Mammographic Mass Detection by Adaptive Threshold- ingand Region Growing. 적응적 임계치와 영역 확장을 이용한 맘모그램 영상의 종괴 검출 방법. Department of Information and Communication Engineering. 2001. 93 p. Advisor Prof. Park, Hyun Wook. Text in English ← (applicable only when the main body is in English)
Student ID
ABSTRACT
X-ray mammography is known as an efficient diagnosis method for detection of early stage breast cancers. The mammogram is a radiograph of the breast tissue and an effective non-invasive means of searching for breast cancers. Microcalcifications and masses are two main types of breast abnormalities. For the detection of breast cancer, mass detection is more difficult than microcalcification detection due to the fact that masses are obscured by normal breast parenchyma. Radiologists have performed mammogram interpretation by visual examination of the films for the abnormalities that can be interpreted as cancerous lesions. However, the observational oversights of radiologists and a large number of mammograms to be examined make readings intensive, cost ineffective, and inaccurate. The computer-aided diagnosis (CAD) will be useful to assist early diagnosis of breast cancers and to increase the diagnosis sensitivity of radiologists. The CAD system requires a multistage algorithm that includes detection and classification of suspicious lesions. Keywords: Note) * Font size: title 14 pt, elsewhere 10 pt. * The abstract must be in English and summarized within 1,000 words. * Pages before the main body must be indicated by Roman numerals (e.g.,ⅰ,ⅱ,ⅲ,ⅳ,ⅴ). * Abstract must be written in English. Keywords should be written on the bottom, and the number of the keywords should be maximum of 5. * When writing the Degree, please refer the "Table of degrees per department" on page 13 of the guidelines. ☞ Please delete this Note before printing

Table of Contents

Abstract	i

Table of Contents	iii

List of Tables and Graphs	vi

List of Diagrams	vii

Chapter 1. Introduction

1.1 Research Background	1

1.2 Related Research Trends	7

1.3 Research Purpose	9

1.4 Dissertation Structure	11

Chapter 2. Concept and Modeling Methods of Bond Graphs

2.1 Concept and Modeling Methods of Bond Graphs	12

2.2 Derivation of Mathematical Models	20

Chapter 3. Suggestions for Systematic Modeling Methods

3.1 Suggestions for Modeling Methods	27

3.1.1 Examples of Top-down/Bottom-up Methods	27

3.1.2 Modeling Methods Using Top-down/Bottom-up Methods	35

3.2 Application of Suggested Modeling Methods	38

3.2.1 Mechanical Systems	38

3.2.2 Electromagnetic Systems	38

3.2.3 Thermal/Fluid Systems	45

3.3 Relationship between Suggested Modeling Methods and Modeling

Decisions	57

Chapter 4. Modeling Software Development

4.1 Automatic Derivation Function of Mathematical Models	64

4.1.1 Forms of Mathematical Models	64

4.1.2 Automatic Derivation of Mathematical Models	67

4.2 Realization of Suggested Modeling Methods	74

4.3 Model Correction Function	78

4.4 Comparison with Existing Software	81

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Chapter 1. Introduction

1.1 Research Background

System models are simple and abstract expressions of specific systems designed to predict the behavior of the systems in question. Examples of such models include airplane models used in wind tunnels to predict the drag load of airplanes, structural models used in civil engineering, and breadboards used to design circuits. As the physical expressions of actual models, these models are called physical models.

-  -

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References

The example of dissertations or theses

[1] Chang, I. (2010). “Biopolymer treated Korean Residual Soil: Geotechnical behavior and Applications”,  Ph.D. Thesis, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea, 320 pages.

The example of book

[2] Grim, R. (1962). Applied clay mineralogy, McGraw-Hill, NewYork, 160 pages.

The example of patents

[3] J.L. Lee et al. (1998). "GaAs Power Semiconductor Device Operating at a Low Voltage and Method for Fabricating the Same", US Patent 5, 760, 418, to ETRI, Patent and Trademark Office, Washington D.C., 1998.

The example of conference proceeding

[4] Mgangira, M.B. (2009). "Evaluation of the effects of enzyme-based liquid chemical stabilizers on subgrade soils." 28th Annual Southern African Transport Conference (SATC) 2009, Pretoria, South Africa, pp. 192-199.

The example of periodicals

[5] Noborio, K., McInnes, K. J., and Heilman, J. L. (1996). "Measurements of Soil Water Content, Heat Capacity, and Thermal Conductivity With A Single Tdr Probe1."  Soil Science, 161(1), pp. 22-28.

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* Above is a sample, so it can be adjusted according to the department or the characteristics of the thesis(dissertation), considering readability. References should contain at least the name of the author, date of publication, name of a journal, page numbers. (The order must be in alphabetical order of the main author's Surname.) ☞ Please delete this Note before printing

Summary

Mammographic Mass Detection by

Adaptive Thresholding and Region Growing

유방 촬영술은 유방암의 조기 진단에 효율적인 진단 방법이다. 유방 영상은 유방암을 비침투적으로 찾을 수 있는 효과적인 방법이며 유방 영상에서 미세 석회화와 종괴는 두 가지의 중요한 악성 종양이다. 유방암을 검출하는 데 있어서 종괴가 미세 석회화보다 검출하기 어려운데, 그 이유는 정상적인 유방 실질과의 불분명한 경계로 인하여 구분이 힘들기 때문이다. 진단 방사선과 의사들은 유방암으로 의심되는 악성병 변의 존재 유무를 관찰한다.

Keywords:

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Acknowledgement

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Curriculum Vitae

Name:

Date of Birth:

Education

1984-1988  ------------------------------------------------------

Career

1992-1995  -----------------------------------------------------

Academic Activities

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