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    Taking Panzhihua, China as an example

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :์‚ฌํšŒ๊ณผํ•™๋Œ€ํ•™ ์‚ฌํšŒ๋ณต์ง€ํ•™๊ณผ,2019. 8. ๊ฐ•์ƒ๊ฒฝ.๊ฐ€์กฑ๋‚ด์˜ ๋…ธํ›„ ์ž์›์— ๋Œ€ํ•œ ๊ณต๊ธ‰ ๋ถ€์กฑ๊ณผ ๋…ธ์ธ ์ˆ˜์š”์˜ ์ฆ๊ฐ€๊ฐ€ ์ค‘๊ตญ์˜ ๋…ธ๋ นํ™” ๋ฌธ์ œ๋ฅผ ์ ์ฐจ ์‹ฌ๊ฐํ•œ ์‚ฌํšŒ ๋ฌธ์ œ๋กœ ๋งŒ๋“ค๊ณ  ์žˆ๋‹ค. ์ด๋ฅผ ์™„ํ™”ํ•˜๊ธฐ ์œ„ํ•ด ์ค‘๊ตญ ์ •๋ถ€๋Š” ๊ด€๋ จ ์ •์ฑ…์„ ๋‚ด๋†“์•˜๊ณ  ์ด๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ๋‹ค์–‘ํ•œ ๊ฑฐ์ฃผ ํ˜•ํƒœ๊ฐ€ ๋ณ‘์กดํ•˜๋Š” ์–‘์ƒ์ด ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๊ทธ ์ค‘ ์ฃผ๋ฅ˜ํ˜•ํƒœ๋Š” ์ง€์—ญ๊ฑฐ์ฃผ์™€ ์‹œ์„ค๊ฑฐ์ฃผ์ด๋‹ค. ๋…ธ์ธ๋“ค์˜ ๊ฑด๊ฐ•์ƒํƒœ์™€ ์‚ถ์˜ ๋งŒ์กฑ๋„๋Š” ๊ฐ๊ธฐ ๋‹ค๋ฅธ ๊ฑฐ์ฃผํ˜•ํƒœ์—์„œ ๋‹ค๋ฅด๋‹ค. ํ•˜์ง€๋งŒ ํ˜„์žฌ์˜ ์„ ํ–‰์—ฐ๊ตฌ๋“ค์€ ๋‹ค๋ฅธ ์‹ ์ฒด๊ฑด๊ฐ• ์ƒํƒœ์˜ ์ฐจ์ด์™€ ๊ฑฐ์ฃผํ˜•ํƒœ ๊ฐ„์˜ ์—ฐ๊ด€์— ๋Œ€ํ•œ ๊ฒฐ๋ก ์ด ์ผ์น˜๋˜๊ฒŒ ๋‚˜ํƒ€๋‚˜์ง€ ์•Š๋Š”๋‹ค. ์ฆ‰, ์ „๋ฐ˜์ ์œผ๋กœ ๋‹ค๋ฅธ ์ˆ˜์ค€์˜ ์‹ ์ฒด๊ฑด๊ฐ•๊ณผ ๊ฑฐ์ฃผํ˜•ํƒœ๋ฅผ ์„ ํƒํ•˜๋Š” ์‚ฌ์ด์˜ ๊ด€๊ณ„์— ๋Œ€ํ•œ ์ผ์น˜๋œ ๊ฒฐ๋ก ์€ ์•„์ง์€ ์—†์œผ๋‹ˆ ์ถ”๊ฐ€์ ์ธ ์—ฐ๊ตฌ๊ฐ€ ํ•„์š”ํ•˜๋‹ค. ๋”ฐ๋ผ์„œ ์ด ์—ฐ๊ตฌ์˜ ๋ชฉ์ ์€ ๊ฑฐ์ฃผํ˜•ํƒœ, ์‹ ์ฒด๊ฑด๊ฐ• ๋ฐ ์‚ถ์˜ ๋งŒ์กฑ๋„ ์‚ฌ์ด์˜ ์—ฐ๊ด€์„ฑ์„ ๋ถ„์„ํ•˜๊ณ  ์ด๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ์‹ ์ฒด๊ฑด๊ฐ•์ด ์กฐ์ ˆ๋ณ€์ˆ˜์™€ ๋งค๊ฐœ๋ณ€์ˆ˜๋กœ ๊ฐ„์ฃผ๋˜์–ด ๊ฑฐ์ฃผํ˜•ํƒœ๊ฐ€ ์‚ถ์˜ ๋งŒ์กฑ๋„์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์ด ์‹ ์ฒด๊ฑด๊ฐ•์— ๋”ฐ๋ผ ๋ณ€ํ™”ํ•˜๋Š”์ง€ ์—ฌ๋ถ€๋ฅผ ํƒ์ƒ‰ํ•˜๊ณ ์ž ํ•œ๋‹ค. ์ด ์—ฐ๊ตฌ๋Š” 2019๋…„ 2์›”๋ถ€ํ„ฐ 3์›”๊นŒ์ง€ ์ค‘๊ตญ ํŒ์ฆˆํ™”์‹œ์˜ ๋…ธ์ธ 300๋ช…์„ ๋Œ€์ƒ์œผ๋กœ ์„ค๋ฌธ์กฐ์‚ฌ๋ฅผ ๋ถ„์„์ž๋ฃŒ๋กœ ์‚ฌ์šฉํ•œ๋‹ค. ์ด ์ค‘ 150๋ช…์€ ์ง€์—ญ๊ฑฐ์ฃผ์˜€๊ณ  150๋ช…์€ ์‹œ์„ค๊ฑฐ์ฃผ์ด๋‹ค. ์—ฐ๊ตฌ ์งˆ๋ฌธ ๋ฐ ๊ฐ€์„ค๊ฒ€์ฆ์€ ๋‹ค์ค‘ ํšŒ๊ท€ ๋ถ„์„์„ ์‚ฌ์šฉํ•˜์˜€๋‹ค. ๋ณธ ์—ฐ๊ตฌ์˜ ์ฃผ์š” ์—ฐ๊ตฌ ๊ฒฐ๊ณผ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. ์ฒซ์งธ, ์ง€์—ญ๊ฑฐ์ฃผ ๋…ธ์ธ๊ณผ ์‹œ์„ค๊ฑฐ์ฃผ ๋…ธ์ธ๋“ค์€ ์‚ถ์˜ ๋งŒ์กฑ๋„์— ์ฐจ์ด๊ฐ€ ์žˆ์œผ๋ฉฐ, ์‹œ์„ค๊ฑฐ์ฃผ ๋…ธ์ธ์˜ ์‚ถ์˜ ๋งŒ์กฑ๋„๋Š” ์ง€์—ญ๊ฑฐ์ฃผ ๋…ธ์ธ๋ณด๋‹ค ๋‚ฎ์•˜๋‹ค. ๋Œ์งธ, ์‹ ์ฒด๊ฑด๊ฐ•๊ณผ ์‚ถ์˜ ๋งŒ์กฑ๋„ ์‚ฌ์ด์—๋Š” ์ •์ ์ธ ๊ด€๊ณ„๊ฐ€ ์žˆ์œผ๋ฉฐ, ์ด๋Š” ์‹ ์ฒด๊ฑด๊ฐ•์ด ์ข‹์€ ๋…ธ์ธ๋“ค์˜ ์‚ถ์˜ ๋งŒ์กฑ๋„๊ฐ€ ๋” ๋†’๋‹ค๋Š” ๊ฒƒ์„ ์˜๋ฏธํ•œ๋‹ค. ์…‹์งธ, IADL์ด ๊ฑฐ์ฃผํ˜•ํƒœ๊ฐ€ ์‚ถ์˜ ๋งŒ์กฑ๋„์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์— ์กฐ์ ˆํšจ๊ณผ๊ฐ€ ์žˆ์–ด, IADL์ด ๋†’์€ ์‚ฌ๋žŒ์˜ ๊ฒฝ์šฐ ์ง€์—ญ๊ฑฐ์ฃผ ๋…ธ์ธ์ด ์‚ถ์˜ ๋งŒ์กฑ๋„๊ฐ€ ๋†’์•˜๊ณ , IADL์ด ๋‚ฎ์€ ๋…ธ์ธ์˜ ๊ฒฝ์šฐ ์‹œ์„ค๊ฑฐ์ฃผ๊ฐ€ ์‚ถ์˜ ๋งŒ์กฑ๋„๊ฐ€ ๋†’์•˜๋‹ค. ๋„ท์งธ, IADL์ด ๊ฑฐ์ฃผํ˜•ํƒœ์™€ ์‚ถ์˜ ๋งŒ์กฑ๋„์— ์œ ์˜๋ฏธํ•œ ๋งค๊ฐœํšจ๊ณผ๊ฐ€ ์žˆ๋‹ค๋Š” ๊ฒƒ์„ ๋ณด์—ฌ์ฃผ๋Š”๋ฐ, ์ด๋Š” ๊ฑฐ์ฃผํ˜•ํƒœ๊ฐ€ ์‚ถ์˜ ๋งŒ์กฑ๋„์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์ด IADL์˜ ๋งค๊ฐœํšจ๊ณผ๋ฅผ ํ†ตํ•ด ๋‹ฌ์„ฑ๋œ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ๋…ธ์ธ์˜ ์‹œ๊ฐ์—์„œ ์ถœ๋ฐœํ•˜์—ฌ ๊ฐ๊ธฐ ๋‹ค๋ฅธ ๊ฑฐ์ฃผํ˜•ํƒœ์— ๋Œ€ํ•œ ๊ทธ๋“ค์˜ ์ง„์ •ํ•œ ์š•๊ตฌ๋ฅผ ๋” ์ž˜ ์ดํ•ดํ•˜๋ฉฐ,ย ๊ฑฐ์ฃผํ˜•ํƒœ๊ฐ€ ์‚ถ์˜ ๋งŒ์กฑ๋„์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์ด ๋‹ค๋ฅธ์ง€๋ฅผ ์—ฐ๊ตฌํ•˜๊ธฐ ์œ„ํ•ด ์‹ ์ฒด๊ฑด๊ฐ•์„ ์กฐ์ ˆ๋ณ€์ˆ˜/๋งค๊ฐœ๋ณ€์ˆ˜๋กœ ์ฒ˜์Œ์œผ๋กœ ์‚ฌ์šฉ๋œ๋‹ค. ๋˜ํ•œ, ๋ณธ ์—ฐ๊ตฌ๋Š” ์ค‘๊ตญ ์“ฐ์ดจ์„ฑ ํŒ์ฆˆํ™”์‹œ์—์„œ ์ง„ํ–‰๋œ ์„ค๋ฌธ์กฐ์‚ฌ ์ž๋ฃŒ๋ฅผ ๋ถ„์„์— ์‚ฌ์šฉํ•œ๋‹ค. ์ด ์—ฐ๊ตฌ๋Š” ๋…ธ์ธ ์‹ฌ๋ฆฌํ•™ ๋ถ„์•ผ์˜ ํ•™์ž๋“ค๊ณผ ๋…ธํ›„ ์„œ๋น„์Šค ์ œ๊ณต์ž ๊ฐ™์€ ์ „๋ฌธ๊ฐ€๋“ค์—๊ฒŒ ์ฐธ๊ณ ๊ฐ€์น˜๋ฅผ ๊ฐ€์ง„๋‹ค. ์ง€์—ญ์‚ฌํšŒ์™€ ์‹œ์„ค ๋ชจ๋‘ ๋…ธ์ธ์˜ ์‹ ์ฒด๊ฑด๊ฐ•์— ์ด๋กœ์šด ์„œ๋น„์Šค์™€ ํ™œ๋™์„ ๊ฐœ๋ฐœํ•˜๊ณ  ์ •์‹  ๊ฑด๊ฐ•์— ๋” ๋งŽ์€ ๊ด€์‹ฌ์„ ๊ธฐ์šธ์—ฌ์•ผ ํ•œ๋‹ค. ๋˜ํ•œ ์ •๋ถ€๋Š” ์‹œ์„ค๊ณผ ์ง€๋ฐฉ ๋ณ‘์› ๊ฐ„์˜ ์žฅ๊ธฐ์ ์ธ ํ˜‘๋ ฅ ๊ด€๊ณ„๋ฅผ ์ด‰์ง„ํ•˜๊ณ , ์—ฐ๊ธˆ ๊ด€๋ จ ์ œ๋„๋ฅผ ๋”์šฑ ๊ฐœ์„ ํ•˜์—ฌ ๊ฒฝ์ œ์  ๊ด€์ ์—์„œ ๋…ธ์ธ์˜ ๊ฑด๊ฐ•์„ ๋“ ๋“ ํžˆ ๋ณด์žฅํ•ด ์ฃผ์–ด์•ผ ํ•œ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์ด ์—ฐ๊ตฌ์—๋Š” ๋ช‡ ๊ฐ€์ง€ ํ•œ๊ณ„๊ฐ€ ์žˆ๋‹ค. ์ด ์—ฐ๊ตฌ๋Š” ์ค‘๊ตญ ๊ตญ๋‚ด ์ด๋ก  ์—ฐ๊ตฌ์™€ ๊ด€๋ จ ์ฒ™๋„์˜ ๋ถ€์กฑ์œผ๋กœ ์ธํ•ด ์ค‘๊ตญ ๋…ธ์ธ๋“ค์˜ ํŠน์„ฑ์„ ์†Œํ™€ํ•  ๊ฐ€๋Šฅ์„ฑ์ด ์žˆ๋‹ค. ์‹œ๊ฐ„๊ณผ ๊ฒฝ์ œ์  ์กฐ๊ฑด์˜ ํ•œ๊ณ„๋กœ ์ธํ•ด ์ด ์—ฐ๊ตฌ์— ์žˆ๋Š” ํ‘œ๋ณธ์€ ์ผ์ • ๊ธฐ๊ฐ„ ๋…ธ์ธ๋“ค์˜ ์ƒํ™ฉ์„ ๋ฐ˜์˜ํ•  ๋ฟ์ด๋ฉฐ, ๋Œ€ํ‘œ์„ฑ๊ณผ ํญ๋„“์€ ํ•ด์„์—๋Š” ์—ฌ์ „ํžˆ ํ•œ๊ณ„๊ฐ€ ์žˆ๋‹ค. ํ›„์† ์—ฐ๊ตฌ๋Š” ๋ณด๋‹ค ์ •๊ตํ•œ ์—ฐ๊ตฌ ๋ฐฉ๋ฒ•์„ ์‚ฌ์šฉํ•˜๊ณ , ์ด๋ก ์  ๊ทผ๊ฑฐ๋ฅผ ๊ฐ•ํ™”ํ•˜๋ฉฐ, ํ‘œ๋ณธ ํฌ๊ธฐ๋ฅผ ํ™•๋Œ€ํ•˜์—ฌ ์—ฐ๊ตฌ ๊ฒฐ๋ก ์— ๋” ์˜๋ฏธ ์žˆ๋Š” ์ ์„ ์ œ์‹œํ•  ํ•„์š”๊ฐ€ ์žˆ๋‹ค.The insufficient supply of family old-age resources and the increasing demand for the elderly are gradually making the aging problem in China a serious social problem. Due to the increasing needs of older adults and to alleviate the shortage, China has witnessed the coexistence of diversified old-age living modes, with the primary modes being community living and institutional living. The health status and life satisfaction of the elderly are different under different living modes. However, there is still no consensus about the relationship between different physical health conditions and the choice of living modes. This limits our understanding of the relationship between old peoples physical health and life satisfaction in different living modes, which needs further study. Therefore, the purpose of the study is to analyze the association among living modes, physical health and life satisfaction, and on this basis, physical health will be regarded as a moderating and mediating variable to further explore whether the influence of living modes on life satisfaction will change according to physical health. The study conducted a questionnaire survey of 300 elderly people in Panzhihua City from February to March 2019. Among them, 150 were community living and 150 were institutional living. The research questions and hypotheses were examined by multiple regression analyses. The main research results of this paper are as follows: 1) there are differences in life satisfaction between the elderly people in the community and those in institutions, and the life satisfaction of the institutional-living was lower than the community-living among the elderly; 2) there is a positive relationship between physical health and life satisfaction, which means that elderly people with better health will be more satisfied with their lives; 3) there is a significant moderating effect the relationship between IADL and life satisfaction: the elderly with a good IADL level in communities have a higher level of life satisfaction, while those with a bad IADL have higher life satisfaction in institutions; 4) the results also show that there is a significant mediating effect of IADL on living modes and life satisfaction, which means that the effect of living modes on life satisfaction is achieved through the mediating effect of IADL. Starting from the elderly people themselves, this paper achieves an understanding their true desire for differentย living modes, and physical health is used as a moderating/mediating variable for the first time to study whether the influence of living modes on life satisfaction was different due to physical health. Additionally, this study conducted a field survey in Panzhihua, Sichuan Province, using the method of questionnaire analysis. As the experimental development zone of national health-preservation and rehabilitation in China, the results obtained on this basis can more realistically reflect the actual situation. This study has significant reference value for scholars in the field of elderly psychology and professionals such as providers of old-age services. Both communities and institutions should develop services and activities that are beneficial to the elderlys physical health and pay more attention to their mental health. Furthermore, the government should promote the establishment of long-term cooperative relationships between institutions and local hospitals, and further improving the construction of the pension-related system to provide a strong guarantee for the health of the elderly from an economic perspective. However, there are some limitations in this study. Due to the insufficiency of Chinese domestic theoretical research and relevant scales, this study may ignore some characteristics of Chinese elderly people. The limitations of time and economic conditions also make the sample of this article only reflect the situation of the elderly in a period of time, and there are still some shortcomings in the representation and wide-scale promotion. Future research can use more diverse research methods, strengthen theoretical support, and expand the sample size to make more meaningful points to the research conclusions.Chapter 1. INTRODUCTION 1 1.1 PROBLEM STATEMENT AND RESEARCH OBJECTIVES 1 1.2 RESEARCH QUESTIONS 9 Chapter 2. LITERATURE REVIEW 10 2.1. THE DEVELOPMENT OF THE PENSION INDUSTRY IN PANZHIHUA, THE CLASSFICATION AND SELECTION Of THE LIVING MODES 10 2.1.1 The Development of the Pension Industry in Panzhihua 10 2.1.2 Classification and Content of Different Living Modes 13 2.1.3 Selection of the Living Mode and Its Rationality In the Study 14 2.2. DEFINITION OF TERMS 16 2.2.1 Life Satisfaction 16 2.2.2 Community Living 18 2.2.3 Institutional Living 20 2.3. LIVING MODES AND LIFE SATISFACTION 22 2.3.1 Community Living and Life Satisfaction 22 2.3.2 Institutional Living and Life Satisfaction 22 2.4. PHYSICAL HEALTH AND LIFE SATISFACTION 23 2.5. LIVING MODES AND PHYSICAL HEALTH 24 2.6. DEMOGRAPHIC VARIABLES AND LIFE SATISFACTION 26 2.7. LIVING MODES, PHYSICAL HEALTH ADN ASSOCIATION WITH ELDERS LIFE SATISFACTION 27 2.7.1. The Moderating Effect of Physical Health 27 2.7.2 The Mediating Effect of Physical Health 29 Chapter 3. CONCEPTUAL FRAMEWORK AND RESEARCH HYPOTHESES 31 3.1 CONCEPTUAL FRAMEWORK 31 3.2 RRSEARCH QUESTIONS AND RESEARCH HYPOTHESES 32 Chapter 4. RESEARCH METHODS 33 4.1. RESEARCH SUBJECTS 33 4.2. DATA COLLECTION 33 4.3 RESEARCH PROCEDURES 35 4.4 MEASUREMENTS OF VARIABLES 36 4.4.1 Dependent Variable 36 4.4.2 Independent variables 36 4.4.3 Moderating/Mediating variables 37 4.4.4 Control variables 38 4.5 PLANED ANALYSIS 41 Chapter 5. RESEARCH FINDINGS 43 5.1 DEMOGRAPHIC CHARACTERISTICS OF ALL PARTICIPANTS 43 5.2 DESCRIPTIVE STATISTICS OF THE MAJOR VARIABLES 50 5.3 CORRELATION MATRIX OF MAJOR VARIABLES 51 5.4 TEST OF HYPOTHESES 53 5.4.1 The Moderating Effect of Physical Health 55 5.4.2 The Mediating Effect of Physical Health 64 Chapter 6. CONCLUSION 75 6.1 SUMMARY OF FINDINGS 75 6.2 DISCUSSION OFMAJOR FINDINGS 78 6.2.1 The Relationship Between Living Modes and Life Satisfaction 78 6.2.2 The Relationship Between Physical Health and Life Satisfaction 80 6.2.3 The Association among Living Modes, Physical Health and Life Satisfaction 82 6.2.4 The Effect of Control Variables and Life Satisfaction 86 6.3 IMPLICATIONS 89 6.3.1 Theoretical Implications 89 6.3.2 Practical Implications 90 6.3.3 Policy Implications 93 6.4 LIMITATIONS AND FUTURE RESEARCH DIRECTIONS 94 REFERENCES 98 APPENDIX 118 ๊ตญ๋ฌธ์ดˆ๋ก 132Maste

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    Adaptive Data Augmentation for Contrastive Learning

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    In computer vision, contrastive learning is the most advanced unsupervised learning framework. Yet most previous methods simply apply fixed composition of data augmentations to improve data efficiency, which ignores the changes in their optimal settings over training. Thus, the pre-determined parameters of augmentation operations cannot always fit well with an evolving network during the whole training period, which degrades the quality of the learned representations. In this work, we propose AdDA, which implements a closed-loop feedback structure to a generic contrastive learning network. AdDA works by allowing the network to adaptively adjust the augmentation compositions according to the real-time feedback. This online adjustment helps maintain the dynamic optimal composition and enables the network to acquire more generalizable representations with minimal computational overhead. AdDA achieves competitive results under the common linear protocol on ImageNet-100 classification (+1.11% on MoCo v2).Comment: Accepted by ICASSP 202

    A van der Waals pn heterojunction with organic/inorganic semiconductors

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    van der Waals (vdW) heterojunctions formed by two-dimensional (2D) materials have attracted tremendous attention due to their excellent electrical/optical properties and device applications. However, current 2D heterojunctions are largely limited to atomic crystals, and hybrid organic/inorganic structures are rarely explored. Here, we fabricate hybrid 2D heterostructures with p-type dioctylbenzothienobenzothiophene (C8-BTBT) and n-type MoS2. We find that few-layer C8-BTBT molecular crystals can be grown on monolayer MoS2 by vdW epitaxy, with pristine interface and controllable thickness down to monolayer. The operation of the C8-BTBT/MoS2 vertical heterojunction devices is highly tunable by bias and gate voltages between three different regimes: interfacial recombination, tunneling and blocking. The pn junction shows diode-like behavior with rectifying ratio up to 105 at the room temperature. Our devices also exhibit photovoltaic responses with power conversion efficiency of 0.31% and photoresponsivity of 22mA/W. With wide material combinations, such hybrid 2D structures will offer possibilities for opto-electronic devices that are not possible from individual constituents.Comment: 16 pages, 4 figure

    Nonlinear dynamics modeling and analysis of disc brake squeal considering acting process of brake force

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    Disc brake squeal of automobile is one of the hottest and most difficult issues concerned by automobile manufacturers and researchers. Considering the acting process of brake force, a simplified nonlinear dynamics model is developed in this paper. The nonlinear dynamics equations are set up and solved by theoretical method and numerical calculation. By studying the effects of key parameters on the systemโ€™s behavior, the mechanism of brake squeal are analyzed and discussed. The results indicate that the state of system is more sensitive to the fluctuation of brake force than the variation of the negative slope of friction coefficient against the relative velocity between pad and disc. The dynamic characteristics of brake system are greatly connected with the components stiffness. The brake system may become weakly stable and easily produce brake squeal when tangential contact stiffness, normal contact stiffness and connection stiffness satisfy a certain relationship

    Acoustic Scene Clustering Using Joint Optimization of Deep Embedding Learning and Clustering Iteration

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    Recent efforts have been made on acoustic scene classification in the audio signal processing community. In contrast, few studies have been conducted on acoustic scene clustering, which is a newly emerging problem. Acoustic scene clustering aims at merging the audio recordings of the same class of acoustic scene into a single cluster without using prior information and training classifiers. In this study, we propose a method for acoustic scene clustering that jointly optimizes the procedures of feature learning and clustering iteration. In the proposed method, the learned feature is a deep embedding that is extracted from a deep convolutional neural network (CNN), while the clustering algorithm is the agglomerative hierarchical clustering (AHC). We formulate a unified loss function for integrating and optimizing these two procedures. Various features and methods are compared. The experimental results demonstrate that the proposed method outperforms other unsupervised methods in terms of the normalized mutual information and the clustering accuracy. In addition, the deep embedding outperforms many state-of-the-art features.Comment: 9 pages, 6 figures, 11 tables. Accepted for publication in IEEE TM

    I2CANSAY:Inter-Class Analogical Augmentation and Intra-Class Significance Analysis for Non-Exemplar Online Task-Free Continual Learning

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    Online task-free continual learning (OTFCL) is a more challenging variant of continual learning which emphasizes the gradual shift of task boundaries and learns in an online mode. Existing methods rely on a memory buffer composed of old samples to prevent forgetting. However,the use of memory buffers not only raises privacy concerns but also hinders the efficient learning of new samples. To address this problem, we propose a novel framework called I2CANSAY that gets rid of the dependence on memory buffers and efficiently learns the knowledge of new data from one-shot samples. Concretely, our framework comprises two main modules. Firstly, the Inter-Class Analogical Augmentation (ICAN) module generates diverse pseudo-features for old classes based on the inter-class analogy of feature distributions for different new classes, serving as a substitute for the memory buffer. Secondly, the Intra-Class Significance Analysis (ISAY) module analyzes the significance of attributes for each class via its distribution standard deviation, and generates the importance vector as a correction bias for the linear classifier, thereby enhancing the capability of learning from new samples. We run our experiments on four popular image classification datasets: CoRe50, CIFAR-10, CIFAR-100, and CUB-200, our approach outperforms the prior state-of-the-art by a large margin
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