8 research outputs found
μ²λΆ ν΄μ ꡬ쑰 λΆμμ μν chirp λ°μ μ νΈμ μμ±λΆμ
A subbottom layer is composed of different types of sediments or the exposed rock, etc. It represents the different physical properties, depending on facies. Its physical properties and geological characteristic may be useful in the interpretation of geophysical data. Chirp SBP has been widely used to study a subbottom layer classification based on acoustic characteristics analysis. Generally, Chirp SBP provide the seismic data of the envelope type without polarity and phase information. Therefore, Envelope signal is limited to expressing subbottom sediments that represent the various physical properties because it ignores polarity and phase information. In this study, we analyzed attribute results of chirp signal response for a shallow subbottom sedimentary structure. We generated a FM pulse according to the frequency bandwidth, the sampling interval, the window function and composed numerical model using P-wave velocity, density, attenuation coefficient, thickness of transitional layer and roughness standard deviation. We conducted Chirp SBP modeling and derived a chirp raw data. We conducted attributes analysis using a chirp signal response obtained after a matched filter process on the acquired chirp raw data. We confirmed the envelope signal of the corresponding layer and lower layer donβt appear for the coarse sediment, subbottom gas, transitional layer. But, when various attribute methods such as instantaneous frequency and bandwidth were applied to the chirp signal response, the corresponding layer and lower layer could be confirmed. In the field survey, it is considered that the subbottom sediment structure should be analyzed by comparing the results of applying attribute methods such as the instantaneous frequency and bandwidth to the chirp signal response in the area where the corresponding layer and lower layer of envelope signal donβt appear.1. μ λ‘ 1
1.1 κ°μ 1
2. Chirp SBP μμΉλͺ¨λΈλ§ 4
2.1 Chirp SBPμ μμ 6
2.1.1 μ£Όνμ λ³μ‘° νμ€ 6
2.1.2 μλμ° ν¨μμ μ’
λ₯ λ° νΉμ± 8
2.2 ν΄μ λ° ν΄μ ν΄μ μΈ΅μ λ°λ₯Έ μνμ€ λ°μ 14
2.2.1 μν₯ μ ν ν¨μ 14
2.2.2 μν₯ κ°μ 15
2.2.3 λΆμ°μλ©΄ μΈ΅ 17
2.2.4 λ§μ°° μμ€ 19
2.3 μ ν©νν° κ³Όμ 20
3. μ§μ§νμ λͺ¨λΈμ λ°λ₯Έ μμΉλͺ¨νμ€ν 25
3.1 νμ±ν μμ±λΆμ 25
3.1.1 μ벨λ‘ν 25
3.1.2 μκ° μμ 27
3.1.3 μκ° μ£Όνμ 27
3.1.4 μκ° λμν 28
3.2 μ€νλ°©λ² 29
3.3 μ€νκ²°κ³Ό 30
3.3.1 μμ μΈ΅ 30
3.3.2 νμΈ΅μ΄ μ‘°λ¦½μ§ ν΄μ λ¬Όλ‘ κ΅¬μ±λ μμΉλͺ¨λΈ 36
3.3.3 ν΄μ μΈ΅ λ΄ μ²λΆκ°μ€ μΈ΅μ΄ ν¬ν¨λ μμΉλͺ¨λΈ 41
3.3.4 ν΄μ μΈ΅ λ΄ λΆμ°μλ©΄ μΈ΅μ΄ ν¬ν¨λ μμΉλͺ¨λΈ 46
4. Chirp SBP νμ₯μλ£μ μμ±λΆμμ λ°λ₯Έ μ²λΆ ν΄μ ꡬ쑰 λΆμ 53
4.1 Chirp SBP νμ₯μλ£ μ·¨λ λ° μ²λ¦¬ 53
4.2 μμ±λΆμ μ μ© κ²°κ³Ό 56
5. κ²°λ‘ 61
κ°μ¬μ κΈ 64
References 66
Bibliography 74Maste
A Study on the Maritime Security Jurisdiction of Coastal States in International Law
ν΄μμ μ€μμ±μ κ°μνμ¬ ν΄μμ κΈ°λ₯μ ν΄νλ λ§μ λΉμ ν΅μ μΈ μ보μνμ μ΅μ νκΈ° μν κ΅κ°κ΄ν κΆμ λν΄ νΉν μ°μκ΅μ μ€μ¬μΌλ‘ κ·Έ κ΄ν κΆνμ¬μ κ΄λ ¨νμ¬ μ΄ν΄λ³Έλ€. μ΄λ₯Ό μν΄, ν΄μμ보 λ° ν΄μμ보μν κ·Έλ¦¬κ³ κ΅κ°κ΄ν κΆ λ° ν΄μμ보κ΄ν κΆ λ±μ κ°λ
μ λν΄ μ΄ν΄λ³΄κ³ , μ΄λ₯Ό μ€μ¬μΌλ‘ μ¬λ¬ μ보μνλ³λ‘ μ μν΄μλ²νμ½μ μ°μκ΅μ΄ κ΄ν κΆμ μ μ ν νμ¬ν μ μλμ§ μ΄ν΄λ³΄κ³ νμΈλ λ¬Έμ μ μ κ°μ νκΈ° μν κ°μ λ°©μμ μ μνλ€.μ 1μ₯ μλ‘
μ 2μ₯ ν΄μμ보κ΄ν κΆμ κ΄ν μΌλ°μ΄λ‘
μ 1μ ν΄μμ보μ κ°κ΄
μ 2μ ν΄μμμμ κ΅κ°κ΄ν κΆκ³Ό ν΄μμ보κ΄ν κΆ
μ 3μ₯ ν΄μμ보μνμ κ΄ν κ΅μ λ²μ²΄κ³ λ° μ€ν
μ 1μ μ μν΄μλ²νμ½μμ ν΄μμ보κ΄ν κΆ
μ 2μ SUAνμ½μμ ν΄μμ보κ΄ν κΆ
μ 3μ PSIμ ν΄μμ보κ΄ν κΆ
μ 4μ₯ μν΄ λ° μ μμμμμμ μ°μκ΅ ν΄μμ보κ΄ν κΆ
μ 1μ μν΄μμμ μ°μκ΅ ν΄μμ보κ΄ν κΆ
μ 2μ μ μμμμμμ μ°μκ΅ ν΄μμ보κ΄ν κΆ
μ 5μ₯ λ°°νμ κ²½μ μμ λ° λλ₯λΆμμμ μ°μκ΅ ν΄μμ보κ΄ν κΆ
μ 1μ λ°°νμ κ²½μ μμμμμ μ°μκ΅ ν΄μμ보κ΄ν κΆ
μ 2μ λλ₯λΆμμμ μ°μκ΅ ν΄μμ보κ΄ν κΆ
μ 6μ₯ 곡ν΄μμμ μ°μκ΅ ν΄μμ보κ΄ν κΆ
μ 1μ 곡ν΄μμμ μ°μκ΅κ΄ν κΆ
μ 2μ ν΄μμ보μνμ λν μ°μκ΅κ΄ν κΆμ νμ₯
μ 7μ₯ ν΄μμ보κ΄ν κΆ κ΄λ ¨λ²μ μ λ¬Έμ μ λ° κ°μ λ°©μ
μ 1μ ν΄μμ보κ΄ν κΆ κ΄λ ¨λ²μ μ λ¬Έμ μ
μ 2μ ν΄μμ보κ΄ν κΆ κ΄λ ¨λ²μ μ κ°μ λ°©μ
μ 8μ₯ κ²°
μμ€νΈλ‘ λ μΈ ν΄λ¦¬μ΄λ―Έλμ κ΄ν μ°κ΅¬
Thesis (master`s)--μμΈλνκ΅ λνμ :μ¬λ£κ³΅νλΆ,2003.Maste
Identification of genome-wide DNA double strand break sites in gastric cancer cell lines
MasterA DNA double-strand break (DSB) is the most dangerous DNA lesions with serious consequences for cell survival. The non-homologous end joining (NHEJ) repair pathway is the main repair mechanism in mammals. To identify the DNA double-strand break sites which associated with NHEJ in human gastric cancer cells, we performed ChIP-Seq using antibodies against Ku 70/80, DNA-PKcs, XRCC4 and Ξ³H2AX. The NHEJ pathway-associated proteins were enriched at 253 sites in SNU484 and 202 sites in KATOIII cell lines. In order to identify whether the NHEJ pathway associated protein binding regions are potential DSB sites, we investigated DNase I digestion efficiency and analyzed the features of the single-nucleotide polymorphism (SNP) frequency. The potential DSB sites showed increased DNase I digestion efficiency and SNP frequency. The Gene Ontology (GO) analysis revealed that the βcell cycleβ related term in the biological pathway was enriched at the potential DSB sites. The most enriched motif from sequence analysis of the potential DSB sites was the STAT5 binding sequence. For validation of the potential DSB sites, we performed ChIP-PCR and detected positive enrichment at selected potential DSB sites. The increased level of specificity protein 1 (SP1) was reported in the diffuse type of gastric cancer cells such as SNU484 and KATOIII and our potential DSB site was further examined to see their overlap with SP1 binding sites. Relatively high enrichment of SP1 at potential DSB sites was detected in diffuse types rather than intestinal types. We could conclude that the DSBs spontaneously occurred without any external stimuli and the NHEJ pathway related proteins were bound to the DSB sites. From the genome-wide mapping and sequence analysis in gastric cancer cells, the true spontaneous DSB sites were identified and increased the possibility of developing new cancer diagnostic markers using the DSB sites