49 research outputs found

    Do audit fees and audit hours influence credit ratings?: A comparative analysis of Big4 vs Non-Big4

    Get PDF
    We examine the relationship between credit ratings / changes and audit fees (hours) for Big4 and Non-Big4 firms. Audit fee (hours) may be considered as a default risk metric for credit ratings agencies. However, firms audited by Big4 are larger, better performing and operate with lower leverage compared to firms followed by Non-Big4. Therefore, the association between audit fee (hours) may be different for firms followed by Big4 and Non-Big4 audit firms. We find that there is a negative association between audit fees and credit ratings for firms followed by Big4 audit firms. However, we find an insignificant relation for firms followed by Non-Big4. We conjecture the different association due to the Big4 firms having more robust accounting procedures; Big4 firms must offer competitive audit fees because they are engaged in fierce competition with other Big4 firms. Moreover, Big4 and Non-Big4 firms have different relationships with their clients because Non-Big4 firms are more income dependent on their clients. Using a sample of 1,717 firmโ€“year observations between 2002 and 2013, we establish a relation between audit fees in period t and credit ratings in period t+1, for firms followed by Big4 auditors. We do not find a significant relation for firms followed by Non-Nig4 firms, suggesting that credit ratings agencies perceive audit fee differently for Big4 and Non-Big4 firms. Client firms followed by Big4 auditors that experience a credit rating change in period t+1 pay lower audit fees in period t compared to firms that do not experience a credit rating change. Our additional analysis suggests a different association between firms audit fees and firm performance for firms that experience a credit rating increase and decrease. Firms that experience a credit ratings increase in period t+1 have strong performance and lower audit fees in period t. On the other hand, firms that experience a credit rating decrease have weak financial performance and negative audit fees compared to firms that do not experience a credit ratings change. Our results suggest that audit fees combined with financial performance influence a credit ratings agency' perception of default risk

    ๋ฉ€ํ‹ฐ๋ฏธ๋””์–ด ํ”„๋กœ์„ธ์„œ์˜ ASIC ๊ตฌํ˜„

    No full text
    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :์ „๊ธฐ.์ปดํ“จํ„ฐ๊ณตํ•™๋ถ€,2001.Maste

    ๊ฑด์‹์ˆ™์„ฑ ์†Œ๊ณ ๊ธฐ ํฌ๋Ÿฌ์ŠคํŠธ์˜ ํ•ญ์‚ฐํ™” ๋ฐ ACE ์ €ํ•ดํ™œ์„ฑ๊ณผ ํŒจํ‹ฐ ์ œ์กฐ์‹œ ํ’๋ฏธ์ฆ์ง„์ œ๋กœ์„œ์˜ ํ™œ์šฉ

    Get PDF
    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ๋†์—…์ƒ๋ช…๊ณผํ•™๋Œ€ํ•™ ๋†์ƒ๋ช…๊ณตํ•™๋ถ€, 2018. 8. ์กฐ์ฒ ํ›ˆ.The objective of present experiments was 1) to determine the antioxidant and angiotensin Iโ€“converting enzyme (ACE) inhibitory activity of the crust of dry-aged beef, and 2) to find the way of utilizing the crust as a flavor enhancer in the manufacturing beef patty. Experiment I. Evaluation of antioxidant and ACE inhibitory activity of crust derived from dry aged beef Moisture evaporation of meat surface in dry aging process inevitably produces crust which is cut and discarded before consumption. Antioxidant activity, ACE inhibitory activity, and protein profile of the crust were evaluated compared with un-aged, wet-, and dry-aged beef. The antioxidant activity was determined using 2,2-diphenyl-1-picrylhydrazyl (DPPH) and 2,2-azino-di-(3-ethylbenzthiazoline sulphonate) (ABTS) radical scavenging, ferric reducing antioxidant power (FRAP), and ferrous ion chelating activity. The crust samples showed the greatest (P<0.05) antioxidant activity resulting from the 3 different mechanisms of action (radical scavenging, non-radical redox potential activity, and metal cheating) as antioxidant and ACE inhibitory activity among the treatment. Protein bands with small molecular weight indicating potent bioactivity were appeared in myofibrillar protein profile of the crust sample. The lowest (P<0.05) ACE inhibitory activity was observed in un-aged beef. Based on results from this study, it could be suggested the crust, usually recognized as discarded portion of dry-aged beef, can be utilized in various areas as functional ingredient possessed antioxidant and ACE inhibitory activity. Experiment II. Application of the crust from dry-aged beef on beef patty and its quality assessment The aim of this study was to find the way of utilizing the crust in meat products to enhance sensory characteristic and to reduce expensive waste. Total of four sirloins were dry-aged for 28 days at 4ยฐC (75% relative humidity). The crust was obtained from surface of the dry-aged beef and prepared as powdered form after freeze-drying. Patties were prepared with 75% ground beef, 20% beef fat, 0.3% salt, and the crust [0 (control) and 5%w/w] The patties were packaged with aerobic method and stored at 4ยฐC for 4 or 6 days with 2-day interval, respectively. The patties with the crust showed higher score in flavor, tenderness, and acceptability by sensory panel compared to control. In addition, different profile was observed in electronic nose analysis between with and without crust group. In conclusion, the crust from dry-aged beef could be used as flavor enhancer in meat products by providing beefy and palatable flavor without long period of dry aging time as meat industry practiced commonly.Chapter I. General Introduction 1 Chapter II. Evaluation of antioxidant and ACE inhibitory activity of crust derived from dry aged beef 6 2.1. Introduction 6 2.2. Materials and Methods 7 2.2.1. Meat Sample preparation 7 2.2.2. Extraction 8 2.2.3. Antioxidant activity 8 2.2.3.1. DPPH assay 9 2.2.3.2. ABTS assay 9 2.2.3.3. FRAP assay 10 2.2.3.4. Ferrous ion chelating activity assay 10 2.2.4. ACE inhibitory activity 11 2.2.5. SDS-Page 12 2.2.6. Statistical analysis 13 2.3. Results and Discussion 14 2.3.1. Antioxidant activity of meat extracts obtained from four different beef samples 14 2.3.1.1. Radical scavenging activity 14 2.3.1.2. Ferric ions reducing power 17 2.3.1.3. Metal chelating activity 17 2.3.2. ACE inhibitory activity 18 2.3.3. Protein profile using SDS-PAGE 20 2.4. Conclusion 21 References 22 Chapter III. Application of the crust from dry-aged beef on beef patty and its quality assessment 26 3.1. Introduction 26 3.2. Materials and Methods 28 3.2.1. Preparation of patties 28 3.2.2. Sensory evaluation 29 3.2.3. Electronic nose 29 3.2.4. Texture analysis 30 3.2.5. Total aerobic bacterial counts 30 3.2.6. Lipid oxidation 31 3.2.7. Statistical analysis 32 3.3. Results and Discussion 33 3.3.1. Sensory evaluation and electronic nose 33 3.3.2. Texture analysis 36 3.3.3. Total aerobic bacterial counts 38 3.3.4. Lipid oxidation 40 3.4. Conclusion 42 References 43 Chapter IV. Overall Conclusion 48 Summary in Korean 49 Acknowledgement 51Maste

    NURBS ์ž์œ  ๊ณก๋ฉด์„ ์ด์šฉํ•œ ์˜๋ฃŒ ๋ชจ๋ธ ๋ณ€๊ฒฝ ์‹œ์Šคํ…œ ๊ฐœ๋ฐœ์— ๊ด€ํ•œ ์—ฐ๊ตฌ

    No full text
    Thesis (master`s)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :์‚ฐ์—…๊ณตํ•™๊ณผ,2001.Maste

    Low-power Temperature Sensor

    No full text
    MasterThis thesis describes a design of an ultra-low power temperature sensor suitable for wearable sensor interface. A low power bandgap reference generator circuit is combined with a 10b successive approximation register based analog-to-digital converter. The temperature sensor, designed with 0.35um technology, shows a resolution of 0.164โ„ƒ in a conversion range of 0โ„ƒ to 100โ„ƒ. With a conversion time of 60ฮผs, the sensor consumes only 11.7nW from single 1.3V supply voltage at room temperature.๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ๋‚ฎ์€ ์ „๋ ฅ์„ ์†Œ๋น„ํ•˜์—ฌ ๋†’์€ ์ •ํ™•๋„๋ฅผ ๊ฐ€์ง€๊ณ  ์˜จ๋„๋ฅผ ์ธก์ •ํ•˜๊ธฐ ์œ„ํ•œ Temperature Sensor๋ฅผ ์„ค๊ณ„ํ•˜์˜€๋‹ค. ์ œ์•ˆ๋œ temperature sensor๋Š” Bandgap Reference ์ƒ์„ฑ ํšŒ๋กœ๋ฅผ ๋ณ€ํ˜•ํ•˜์—ฌ ์˜จ๋„์™€ ๋น„๋ก€ํ•˜๊ฑฐ๋‚˜ ๋ฐ˜๋น„๋ก€ํ•œ ์ „์••์„ ๋”ฐ๋กœ ๋ถ„๋ฆฌํ•˜๊ณ  ๊ฐ ์ „์••์„ ADC๋กœ ์—ฐ๊ฒฐํ•˜์—ฌ ๋””์ง€ํ„ธ ๊ฐ’์œผ๋กœ ๋ณ€ํ™˜ํ•˜๋Š” ๋ฐฉ๋ฒ•์œผ๋กœ ์˜จ๋„๋ฅผ ์ธก์ •ํ•œ๋‹ค. ๊ธฐ์กด์˜ Bandgap reference ์ƒ์„ฑ ํšŒ๋กœ์—์„œ๋Š” ์˜จ๋„์— ์ •๋น„๋ก€ํ•˜๋Š” PTAT ์ „์••๊ณผ ๋ฐ˜๋น„๋ก€ํ•˜๋Š” CTAT ์ „์••์„ ํ•ฉํ•˜์—ฌ reference ์ „์••์„ ์ƒ์„ฑํ•˜์˜€๋‹ค. ์ด๋Ÿฌํ•œ ํšŒ๋กœ๋ฅผ ๋ณ€ํ˜•ํ•˜์—ฌ PTAT ์ „์••๊ณผ CTAT ์ „์••์„ ๋”ฐ๋กœ ๋ถ„๋ฆฌํ•˜์˜€๋‹ค. PTAT ์ „์••์€ ๋‘ ๊ฐœ์˜ diode๋ฅผ ๊ฑฐ๊พธ๋กœ ์—ฐ๊ฒฐํ•˜์—ฌ ์œ„์ชฝ diode์˜ saturation ์ „๋ฅ˜๋ฅผ ์ด์šฉํ•˜์˜€๋Š”๋ฐ ์ด ๊ฒฝ์šฐ saturation ์ „๋ฅ˜๋ฅผ ์‚ฌ์šฉํ•˜๊ธฐ ๋•Œ๋ฌธ์— ์ „๋ฅ˜์˜ ํฌ๊ธฐ๊ฐ€ ๋งค์šฐ ์ž‘์•„ ์ „๋ ฅ ์†Œ๋น„ ๋˜ํ•œ ์ž‘๊ฒŒ ํ•  ์ˆ˜ ์žˆ๋‹ค. CTAT ์ „์••์€ diode๋ฅผ ์ •๋ฐฉํ–ฅ์œผ๋กœ ์—ฐ๊ฒฐํ•˜๊ณ  ์ „๋ฅ˜๋ฅผ ๊ฑฐ์˜ ์ผ์ •ํ•˜๊ฒŒ ์œ ์ง€์‹œ์ผœ์„œ ์–ป์—ˆ๋‹ค. ADC๋Š” SAR ํƒ€์ž…์˜ ADC๋ฅผ ์‚ฌ์šฉ์„ ํ•˜์˜€๋‹ค. SAR ํƒ€์ž…์€ ์ „๋ ฅ ์†Œ๋น„๋ฅผ ์ตœ์†Œ๋กœ ํ•˜๊ณ ์ž ํ•  ๋•Œ ์•Œ๋งž์€ ADC์ด๋‹ค. BGVRํšŒ๋กœ์—์„œ ์ƒ์„ฑํ•œ PTAT์™€ CTAT์ „์••์„ ADC์˜ ๋‘ ์ฐจ๋™ ์ž…๋ ฅ์œผ๋กœ ์—ฐ๊ฒฐํ•˜์˜€๋‹ค. ADC๋‚ด์˜ comparator๋Š” ์ฐจ๋™ ์ „์••์˜ ์ฐจ์ด๋ฅผ ์‹œ๊ฐ„ domain์œผ๋กœ ์˜ฎ๊ฒจ์™€ ๋‘ ์‹ ํ˜ธ์˜ ์ „ํŒŒ ์†๋„ ์ฐจ์ด๋กœ ๋น„๊ต๋ฅผ ์ง„ํ–‰ํ•œ๋‹ค. ์ด๋Ÿฌํ•œ ๋ฐฉ์‹์˜ comparator๋Š” ๊ณต๊ธ‰ ์ „์••์ด ๋‚ฎ์„์ˆ˜๋ก ๋™์ž‘์ด ์ž˜ ๋œ๋‹ค๋Š” ์žฅ์ ์ด ์žˆ๋‹ค. ์„ค๊ณ„๋œ Temperature sensor์˜ ์ด ์†Œ๋น„ ์ „๋ ฅ์€ 11.7nW์˜€์œผ๋ฉฐ, conversion time์€ 60ฮผs๋กœ ์ธก์ •์ด ๋˜์—ˆ๋‹ค. ์ด๋Š” ํ˜„์กดํ•˜๋Š” ์˜จ๋„ ์„ผ์„œ ์ค‘ ๊ฐ€์žฅ ๋‚ฎ์€ ๊ฐ’์„ ๋‚˜ํƒ€๋‚ธ๋‹ค. ์•ž์œผ๋กœ ์ตœ์†Œ์˜ ์ „๋ ฅ์„ ์†Œ๋ชจํ•˜์—ฌ ์ •๋ฐ€ํ•˜๊ฒŒ ์˜จ๋„๋ฅผ ์ธก์ •ํ•  ์ˆ˜ ์žˆ๋Š” ํฐ ๋ฐœํŒ์„ ๋งˆ๋ จํ•  ์ˆ˜ ์žˆ๋Š” ๊ฒƒ์œผ๋กœ ์ƒ๊ฐ๋œ

    HLA-I ์ ‘ํ•ฉ์„ฑ์— ๋”ฐ๋ฅธ ์ข…์–‘ ๊ฐ€์†ํ™” ํ‰๊ฐ€ ๋ฐ ํˆฌ๋ช… ์„ธํฌ ์‹ ์žฅ ์„ธํฌ ์•”์—์„œ ๋ฉด์—ญ ํŠน์ง•์˜ ๋ฐœ๊ฒฌ

    No full text
    Clear cell renal cell carcinoma (ccRCC) is a common histological subtype of renal cancer with a 107% increase in incidence over about 20 years and has distinct immunogenic characteristics. CcRCC has been reported to have an immune characteristic contrary to the conventional notion, such as short survival despite abundance of tumor-infiltrating lymphocytes. In tumor immunity, the HLA-I molecule leads to tumor suppression, which enables CD8+ T cells to recognize tumors by presenting neoantigen, a peptide containing mutations in tumor cells, on the cell surface. We investigated tumor acceleration by HLA-I zygosity through tumor occurrence analysis in clear cell renal cell carcinoma as well as pan-cancer. To evaluate the effectiveness of immune surveillance by T cells, we selected early tumors close to the time point of immune evasion, excluding tumor samples containing pathogenic factors that influence tumor development. The zygosity of HLA-I was classified into homozygous group and heterozygous group based on the heterozygosity of all three classical HLA-I genes. The acceleration was assessed using an accelerated failure time (AFT) model by HLA zygosity. As a result, it was confirmed that heterozygous HLA-I delayed the tumor development in pan-cancer except ccRCC. In contrast, ccRCC was found to occur earlier in heterozygous HLA-I patients than homozygous HLA-I patients. To determine the cause of ccRCC acceleration in heterozygous HLA-I, we classified allele loss in major tumor suppressor genes, VHL and PBRM1. Tumor acceleration of heterozygous HLA-I was found to occur in tumors containing biallelic loss of VHL, according to the theory of the secondary hit hypothesis that the loss of both alleles results in a phenotypic change. The association of heterozygous HLA-I and VHL biallelic loss on tumor acceleration was validated in an independent ICGC clear cell renal cell carcinoma cohort. ํˆฌ๋ช… ์„ธํฌ ์‹ ์žฅ ์„ธํฌ ์•”์€ ์•ฝ 20๋…„ ๋™์•ˆ ๋ฐœ๋ณ‘๋ฅ ์ด 107% ์ฆ๊ฐ€ํ•˜๋Š” ์‹ ์žฅ์•” ์˜ ํ•˜์œ„์œ ํ˜• ์ค‘ ๊ฐ€์žฅ ํ”ํ•œ ์•”์ด๋ฉฐ ๋šœ๋ ทํ•œ ๋ฉด์—ญ์›์„ฑ ํŠน์ง•์„ ๊ฐ–๋Š”๋‹ค. ํŠนํžˆ ํˆฌ๋ช… ์„ธํฌ ์‹ ์žฅ ์„ธํฌ ์•”์€ ์ข…์–‘ ์นจ์œค T ๋ฆผํ”„๊ตฌ๊ฐ€ ๋งŽ์ด ์กด์žฌํ•  ๋•Œ ์งง์€ ์ƒ์กด์„ ๋ณด์ด๋Š” ๋“ฑ ๊ธฐ์กด์˜ ๊ฐœ๋…๊ณผ๋Š” ๋ฐ˜๋Œ€๋˜๋Š” ๋ฉด์—ญ ํŠน์ง•์ด ๋ณด๊ณ ๋˜์–ด์ ธ ์™” ๋‹ค. ์ข…์–‘ ๋ฐœ์ƒ๊ณผ์ • ์ค‘ ๋ฉด์—ญ๋ฐ˜์‘์„ ์„ค๋ช…ํ•˜๋Š” ๋ฉด์—ญํŽธ์ง‘ ์ด๋ก ์€ ์ตœ๊ทผ ํ™œ๋ฐœ ํžˆ ์—ฐ๊ตฌ๋˜๊ณ  ์žˆ์œผ๋ฉฐ, ๋ฉด์—ญํŽธ์ง‘ ๋™์•ˆ CD8+ T ์„ธํฌ๋Š” ์ข…์–‘์„ธํฌ๋ฅผ ์ธ์ง€ํ•˜ ๊ณ  ์ข…์–‘์„ธํฌ ํŠน์ด์  ์‚ฌ๋ฉธ์„ ์œ ๋ฐœํ•˜๋Š” ๋ฐ˜์‘์„ ํ•œ๋‹ค. CD8+ T ์„ธํฌ๊ฐ€ ์ข…์–‘ ์„ธํฌ๋ฅผ ์ธ์‹ํ•˜๋Š” ๋ฐ˜์‘์—๋Š” HLA-I ๋ถ„์ž๊ฐ€ ์ค‘์š”ํ•œ ์ž‘์šฉ์„ ํ•˜๊ฒŒ ๋˜๋Š”๋ฐ, HLA-I๋Š” ์ข…์–‘ ํŠน์ด์  ํ•ญ์›์ธ ์‹ ํ•ญ์›(neoantigen)์„ ์„ธํฌํ‘œ๋ฉด์œผ๋กœ ํ‘œ์ง€ ํ•˜์—ฌ CD8+ T ์„ธํฌ๊ฐ€ non-self ํ•ญ์›์ธ neoantigen์„ ์ธ์ง€ํ•˜์—ฌ ๋ฐ˜์‘์„ ์œ  ๋ฐœํ•  ์ˆ˜ ์žˆ๊ฒŒ ํ•œ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” HLA-I ์ ‘ํ•ฉ์„ฑ์— ์˜ํ•œ ์ข…์–‘ ๋ฐœ๋ณ‘๊ฐ€์†๋„๋ฅผ ์กฐ์‚ฌํ•˜๊ธฐ ์œ„ํ•ด TCGA์˜ ๋Œ€๊ทœ๋ชจ์˜ ์•” ๋ฐ์ดํ„ฐ๋ฅผ ์ด์šฉํ•˜์—ฌ ํˆฌ๋ช… ์„ธํฌ ์‹ ์žฅ ์„ธํฌ ์•” ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ๋ฒ”์•”(pan-cancer) ๋‹จ์œ„์˜ ๋ถ„์„์„ ์ง„ํ–‰ํ•˜์˜€๋‹ค. ๋ณ‘์› ์„ฑ ์š”์ธ์„ ํฌํ•จํ•œ ์ข…์–‘์„ ์ œ์™ธํ•˜์—ฌ T ์„ธํฌ์— ์˜ํ•œ ๋ฉด์—ญ๊ฐ์‹œํšจ๊ณผ๋ฅผ ์ฃผ์š” ํ•˜๊ฒŒ ํ‰๊ฐ€ํ•˜์˜€์œผ๋ฉฐ ๋ฉด์—ญํšŒํ”ผ๊ฐ€ ์ผ์–ด๋‚œ ์‹œ์ ์—์„œ ๊ฐ€์žฅ ๊ฐ€๊นŒ์šด ์ดˆ๊ธฐ ๋‹จ๊ณ„ ์˜ ์ข…์–‘์„ ์„ ์ •ํ•˜์˜€๋‹ค. HLA-I์˜ ์ ‘ํ•ฉ์„ฑ์€ HLA-I ์œ ์ „์ž(HLA-A, B, C) ์ ‘ํ•ฉ์„ฑ์— ๋”ฐ๋ผ ๋™ํ˜• ์ ‘ํ•ฉ, ์ดํ˜• ์ ‘ํ•ฉ HLA-I์œผ๋กœ ๋ถ„๋ฅ˜๋˜์—ˆ๊ณ  HLA-I ์ ‘ ํ•ฉ์„ฑ์˜ ์ข…์–‘ ๊ฐ€์†๋„๋ฅผ ์ธก์ •ํ•˜๊ธฐ ์œ„ํ•ด accelerated failure time ๋ชจ๋ธ์ด ์‚ฌ์šฉ๋˜์—ˆ๋‹ค. ๊ทธ ๊ฒฐ๊ณผ ํˆฌ๋ช… ์„ธํฌ ์‹ ์žฅ ์„ธํฌ ์•”์„ ์ œ์™ธํ•œ pan-cancer์—์„œ ์ดํ˜• ์ ‘ํ•ฉ HLA-I์€ ์ข…์–‘ ๋ฐœ๋ณ‘์ด ๋Šฆ์ถฐ์ง€๋Š” ๊ฒƒ๊ณผ ์—ฐ๊ด€์„ฑ์ด ์žˆ์—ˆ๋‹ค. ๋Œ€์กฐ ์ ์œผ๋กœ ํˆฌ๋ช… ์„ธํฌ ์‹ ์žฅ ์„ธํฌ ์•”์—์„œ๋Š” ์ดํ˜• ์ ‘ํ•ฉ HLA-I ํ™˜์ž์—์„œ ๋™ํ˜• ์ ‘ํ•ฉ HLA-I ํ™˜์ž๋ณด๋‹ค ์ผ์ฐ ์ข…์–‘์ด ๋ฐœ๋ณ‘ํ•˜๋Š” ๊ฒƒ์ด ๋ฐํ˜€์กŒ๋‹ค. ์ดํ˜• ์ ‘ํ•ฉ HLA-I์—์„œ ์ข…์–‘ ๊ฐ€์†ํ™”๊ฐ€ ์ผ์–ด๋‚˜๋Š” ์›์ธ์„ ๊ทœ๋ช…ํ•˜๊ธฐ ์œ„ํ•ด ํˆฌ๋ช… ์„ธํฌ ์‹  ์žฅ ์„ธํฌ ์•”์—์„œ ๊ฐ€์žฅ ๋นˆ๋ฒˆํ•˜๊ฒŒ ๋Œ์—ฐ๋ณ€์ด๊ฐ€ ๋ฐœ์ƒํ•˜๋Š” ์ข…์–‘ ์–ต์ œ ์œ ์ „์ž VHL๊ณผ PBRM1๋ฅผ ์„ ๋ณ„ํ•˜์˜€๋‹ค. VHL ์œ ์ „์ž๋Š” ๋‘ ๋Œ€๋ฆฝ ์œ ์ „์ž๊ฐ€ ๋ชจ๋‘ ์†์‹ค ๋˜๋ฉด ํ‘œํ˜„ํ˜• ๋ณ€ํ™”๊ฐ€ ์ƒ๊ธด๋‹ค๋Š” two-hit hypothesis๋ฅผ ๋”ฐ๋ฅด๋Š” ๊ฒƒ์ด ๋ณด๊ณ  ๋˜์–ด ์™”์œผ๋ฉฐ, ์ดํ˜• ์ ‘ํ•ฉ HLA-I์€ VHL ์ด์ค‘ ๋Œ€๋ฆฝ ์œ ์ „์ž ์†์‹ค์„ ํฌํ•จํ•˜ ๋Š” ๊ฒฝ์šฐ์—์„œ ์œ ์˜ํ•œ ์ข…์–‘ ๊ฐ€์†ํ™”๋ฅผ ๋‚˜ํƒ€๋ƒˆ๋‹ค. ์ข…์–‘ ๊ฐ€์†ํ™”์— ๋Œ€ํ•œ ์ดํ˜• ์ ‘ํ•ฉ HLA-I์™€ VHL ์ด์ค‘ ๋Œ€๋ฆฝ ์œ ์ „์ž ์†์‹ค์˜ ์—ฐ๊ด€์„ฑ์€ ๋…๋ฆฝ์ ์ธ ICGC ํˆฌ๋ช… ์„ธํฌ ์‹ ์žฅ ์„ธํฌ ์•” ์ง‘๋‹จ์—์„œ ๊ฒ€์ฆ๋˜์—ˆ๋‹ค.open์„

    ๋ˆ„์„ค ์ „๋ฅ˜๋ฅผ ์ด์šฉํ•œ ์ดˆ์ €์ „๋ ฅ ์˜จ๋„ ์„ผ์„œ ์—ฐ๊ตฌ

    No full text
    DoctorThe performance of critical building blocks for ultra-low-power (ULP) applications often causes strong temperature dependencies. Since the temperature sensitivities need to be compensated, an on-chip temperature sensor is becoming one of the essential blocks in ULP system-on-chips (SoC). This thesis presents temperature sensors with a leakage-based bandgap-Vth reference. The first temperature sensor combines a leakage-based bandgap-Vth reference and an asynchronous SAR ADC. By sampling leakage-based biases directly by the SAR ADC, the sensor consumes 490pW at 20ยบC with a conversion time of 200ms and stably works with a 1-point calibration showing a peak-to-peak error of ยฑ2.35ยบC, a resolution of 0.59ยบC in a range of -10-to-100ยบC. The second temperature sensor uses a scaled reference voltage obtained by switched capacitor circuits and an on-chip leakage-based oscillator for internal clock generation. The SAR ADC operates with a scaled supply voltage by 1/2 generated by the switched capacitor. The sensor consumes 487pW with a conversion time of 128.6ms at 20ยบC. Peak-to-peak error is -3.43/2.77ยบC and ยฑ1.63ยบC after 1-point and 2-point calibration, respectively. In a temperature range of -30 to 100ยบC, the sensor shows resolution of 0.37ยบC that is about 60% improved, compared with the first sensor. The designed sensors are fabricated in 180nm CMOS process
    corecore