• Title/Summary/Keyword: subjective probability

Search Result 129, Processing Time 0.022 seconds

A New Method for Thumbnail Extraction in H.264/AVC Bitstreams (H.264/AVC 비트스트림에서 썸네일 추출을 위한 새로운 방법)

  • Hong, Seung-Hwan;Kim, Ji-Eon;Chin, Young-Min;Kwon, Jae-Cheol;Oh, Seoung-Jun
    • Journal of Broadcast Engineering
    • /
    • v.15 no.6
    • /
    • pp.853-867
    • /
    • 2010
  • Recently, thumbnail techniques are required to index a high-performance video at digital convergence-based multimedia service like IPTV and DMB. Therefore a thumbnail extraction method in H.264/AVC bitstreams has been proposed. However, thumbnail quality deterioration problem at converting the general equation of spatial domain to frequency domain which is generated by not considering about H.264/AVC transform and quantization processing and rounding-off operation in intra prediction. In this paper, we propose a new thumbnail extraction method in H.264/AVC bitstreams. The proposed scheme is based on H.264/AVC core-transform for a thumbnail extraction in frequency domain, and probability theory, intra rounding-off error compensation. Through the implementation and performance evaluation, the subjective quality difference between the output of our scheme and the output of reference decoder is negligible and better than the conventional method, and moreover PSNR gain by up to 8.66 dB.

The Application of Fuzzy Delphi Method in Forecasting of the price index of stocks (주가지수의 예측에 있어 Fuzzy Delphi 방법의 적용)

  • 김태호;강경식;김창은;박윤선;현광남
    • Journal of Korean Society of Industrial and Systems Engineering
    • /
    • v.15 no.26
    • /
    • pp.111-117
    • /
    • 1992
  • In the stock marketing. investor needs speedy and accurate decision making for the investment. A stock exchange index provides the important index of the early of 1993 in Korea using Fuzzy Delphi Method(F. D. M) which is widely used to a mid and long range forecasting in decision making problem. In the Fuzzy Delphi method, considerably qualified experts an first requested to give their opinion seperately and without intercommunication. The forecasting data of experts consist of Triangular Fuzzy Number (T.F.N) which represents the pessimistic, moderate, and optimistic forecast of a stock exchange index. A statistical analysis and dissemblance index are then made of these subject data. These new information are then transmitted to the experts once again, and the process of reestimation is continued until the process converges to a reasonable stable forecast of stock exchange index. The goal of this research is to forecast the stock exchange index using F.D.M. in which subjective data of experts are transformed into quasi -objective data index by some statistical analysis and fuzzy operations. (a) A long range forecasting problem must be considered as an uncertain but not random problem. The direct use of fuzzy numbers and fuzzy methods seems to be more compatible and well suited. (b) The experts use their individual competency and subjectivity and this is the very reason why we propose the use of fuzzy concepts. (c) If you ask an expert the following question: Consider the forecasting of the price index of stocks in the near future. This experts wi11 certainly be more comfortable giving an answer to this question using three types of values: the maximum value, the proper value, and the minimum value rather than an answer in terms of the probability.

  • PDF

Prediction of Flicker for PDP Devices (플라즈마 디스플레이 패널의 플리커 발생에 대한 예측)

  • Jin Guang-Xu;Kang Sung-Ho;Hong Ki-Sang
    • Journal of the Institute of Electronics Engineers of Korea SP
    • /
    • v.42 no.2 s.302
    • /
    • pp.9-18
    • /
    • 2005
  • Flicker is the 'variation in brightness or he perceived won stimulation by intermittent or temporally non uniform light'. This phenomenon is blown as the cause of eye strain and headaches. Many researchers are dedicated to reducing this phenomenon. The flicker phenomenon also exists in PDP as some other display types, and is a critical problem in 50 Hz PDP. However, it is difficult to define flicker by more than one subjective judgment. So, an objective measurement of flicker is necessary and convenient for research on displays. In this paper, a computational prediction model is proposed which is used to predict luminance flicker (not chromatic flicker) by giving a quantitative output that describes the probability of occurrence of flicker. Through this work, we expected to provide a practical tool for flicker-free design in PDP.

Research about Relationship between the Quality of life, Oral Health and Total Health of adults (성인들의 구강보건과 건강.삶의 질의 관련성 연구 - 영남지역 일부 주민들을 대상으로 -)

  • Kim, Ji-Hwa;Min, Kyung-Jin
    • Korean Journal of Health Education and Promotion
    • /
    • v.25 no.2
    • /
    • pp.31-46
    • /
    • 2008
  • The purpose of this research is to increase adults' quality of life by improving oral health. Total 572 people participated in this study in Young-Nam area. Survey research method was used to measure various tools of participants' general index, subjective view of oral health status, oral health knowledge, oral health practice, dietary pattern, OHIP-14, THI, QOL for analyzing the effect on quality of life. The result of the study is summarized as follows; 1. Oral health knowledge has positive effects on oral health practice (0.442), dietary pattern(0.343). Diet has positive effects on OHIP-14(0.187) and OHIP-14 has significant positive effects on THI(0.564). THI also has positive effects on QOL(0.380). But oral health practice index has slight effects on OHIP-14(0.056). 2. Indirect effect indexes on QOL are OHIP-14(0.214), diet(0.040), oral health knowledge(0.019), oral health practice(0.012) listed in order of effect size, and the biggest direct effect on QOL is from THI(0.308). The result of this study shows oral health and total health are important to improve the quality of life. And the knowledge about oral health dietary pattern should be important to improve oral health. But, even with high level of oral health knowledge, the oral health practice is at low level. Health education developing program should be needed. It is required to present basic data which represent adults with national view by extracting groups using sample probability methods as of next task of this study.

Implementation of UEP using Turbo Codes and EREC Algorithm for Video Transmission (동영상 전송을 위하여 터보코드와 EREC알고리즘을 이용한 UEP설계)

  • 심우성;허도근
    • The Journal of Korean Institute of Communications and Information Sciences
    • /
    • v.25 no.7A
    • /
    • pp.994-1004
    • /
    • 2000
  • In this paper, bitstreams are composed of using H.263 for a moving picture coding in the band-limited and error-prone environment such as wireless environment. EREC sub-frames are implemented by applying the proposed EREC algorithm in order to be UEP for the real data parts of implemented bitstreams. Because those are able to do resynchronization with a block unit, propagation of the error can be minimized, and the position of the important bits such as INTRADC and MVD can be known. Class is separated using the position of these important bits, and variable puncturing tables are designed by the class informations and the code rates of turbo codes are differently designed in according to the class. Channel coding used the turbo codes, and an interleaver to be designed in the turbo codes does not eliminate redundancy bits of the important bits in applying variable code rates of EREC sub-frames unit and is always the same at the transmitter and the receiver although being variable frame size. As a result of simulation, UEP with the code rate similar to EEP is obtained a improved result in the side of bit error probability. And the result of applying it to image knows that the subjective and objective quality have been improved by the protection of important bits.

  • PDF

Latent Transition Analysis of the Work-Family Balance of Working Mothers with a Child in Elementary School: Focus on the Effect of Antecedents on both Work-Family Balance Typology and Transition between Typologies (초등학생 자녀를 둔 취업모의 일-가정 균형의 잠재전이분석: 일-가정 균형의 유형 및 유형 간 전이의 예측요인 검증을 중심으로)

  • Hong, Yea-Ji
    • Human Ecology Research
    • /
    • v.59 no.2
    • /
    • pp.199-213
    • /
    • 2021
  • The purpose of the study was to apply latent transition analysis to the work-family balance of working mothers with a child in elementary school by focusing on the effect of antecedents on both work-family balance typology and the transition between typologies. Data from 400 working mothers who participated in the eighth and eleventh waves of the Panel Study on Korean Children were used. The results can be summarized as follows. First, the latent profile analysis of working mothers whose children were in the first grade classified the work-family balance types as 'contradictory' or 'beneficial' and of working mothers whose children were in the fourth grade as 'conflictual', 'contradictory', 'high beneficial', 'low beneficial' or 'beneficial'. Second, working mothers whose work-family balance was 'contradictory' or 'beneficial' when their children were in the first grade mostly had, respectively, a 'low beneficial' or a 'high beneficial' balance when their children were in the fourth grade. Third, the probability of being classified into each type differed according to subjective happiness and marital conflict in the first grade, and marital conflict and social support in the fourth grade. Moreover, marital conflict and social support were significant in the transition between the types of work-family balance. The study showed that the types of work-family balance differed for each time point for individual working mothers. The study also highlighted the importance of parenting-related personal, family and social factors in determining the work-family balance type and transition between types.

The Analysis of the Effects of Physical Activity on Impaired Fasting Glucose in Adults Over 20 Years of Age

  • Joo-Won Yoon
    • Journal of The Korean Society of Integrative Medicine
    • /
    • v.11 no.2
    • /
    • pp.181-196
    • /
    • 2023
  • Purpose : The purpose of this study was to investigate the effects of physical activity on impaired fasting glucose in adults aged 20 years or older. Methods : This study utilized raw data from the 8th National Health and Nutrition Examination survey (2019~2021). The subjects of this study were 5,344 adults aged 20 years or older who were confirmed to be free of diabetes. The control variables in this study model are health behavior characteristics (subjective health status, smoking, drinking), anthropometric characteristics (body mass index), and personal background characteristics (gender, age, income level, education level, marital status). As for the analysis method, the degree of physical activity was made into a dummy variable, and a probit model was used. Results : As a result of this study, compared to quartile 1 of the relative grip strength value obtained by dividing the grip strength by the body mass index (body mass index, kg, m2), fasting blood glucose levels were significantly higher in quartile 2 (.05, p<.01), quartile 3 (.04, p<.01), and quartile 4 (.04, p<.01). It was found that the probability of belonging to the normal category was higher than that of impaired fasting glucose. In addition, in the group of adults aged 20 or older who had a lot of aerobic and anaerobic physical activity, fasting blood sugar was more likely to be in the normal category. Conclusion : Based on the results of this study, it was suggested that diabetes should be managed through physical activity in the pre-diabetic stage, as prevention is important as well as treatment. From a practical point of view, muscle strength, such as grip strength, can be identified as a reliable indicator for identifying impaired fasting glucose.

A Comparative Study of Predictive Factors for Hypertension using Logistic Regression Analysis and Decision Tree Analysis

  • SoHyun Kim;SungHyoun Cho
    • Physical Therapy Rehabilitation Science
    • /
    • v.12 no.2
    • /
    • pp.80-91
    • /
    • 2023
  • Objective: The purpose of this study is to identify factors that affect the incidence of hypertension using logistic regression and decision tree analysis, and to build and compare predictive models. Design: Secondary data analysis study Methods: We analyzed 9,859 subjects from the Korean health panel annual 2019 data provided by the Korea Institute for Health and Social Affairs and National Health Insurance Service. Frequency analysis, chi-square test, binary logistic regression, and decision tree analysis were performed on the data. Results: In logistic regression analysis, those who were 60 years of age or older (Odds ratio, OR=68.801, p<0.001), those who were divorced/widowhood/separated (OR=1.377, p<0.001), those who graduated from middle school or younger (OR=1, reference), those who did not walk at all (OR=1, reference), those who were obese (OR=5.109, p<0.001), and those who had poor subjective health status (OR=2.163, p<0.001) were more likely to develop hypertension. In the decision tree, those over 60 years of age, overweight or obese, and those who graduated from middle school or younger had the highest probability of developing hypertension at 83.3%. Logistic regression analysis showed a specificity of 85.3% and sensitivity of 47.9%; while decision tree analysis showed a specificity of 81.9% and sensitivity of 52.9%. In classification accuracy, logistic regression and decision tree analysis showed 73.6% and 72.6% prediction, respectively. Conclusions: Both logistic regression and decision tree analysis were adequate to explain the predictive model. It is thought that both analysis methods can be used as useful data for constructing a predictive model for hypertension.

Applying Theory of Planned Behavior to Examine Users' Intention to Adopt Broadband Internet in Lower-Middle Income Countries' Rural Areas: A Case of Tanzania

  • Sadiki Ramadhani Kalula;Mussa Ally Dida;Zaipuna Obeid Yonah
    • Journal of Information Science Theory and Practice
    • /
    • v.12 no.1
    • /
    • pp.60-76
    • /
    • 2024
  • Broadband Internet has proven to be vital for economic growth in developed countries. Developing countries have implemented several initiatives to increase their broadband access. However, its full potential can only be realized through adoption and use. With lower-middle-income countries accounting for the majority of the world's unconnected population, this study employs the theory of planned behavior (TPB) to investigate users' intentions to adopt broadband. Rural Tanzania was chosen as a case study. A cross-sectional study was conducted over three weeks, using 155 people from seven villages with the lowest broadband adoption rates. Non-probability voluntary response sampling was used to recruit the participants. Using the TPB constructs: attitude toward behavior (ATB), subjective norms (SN), and perceived behavioral control (PBC), ordinal regression analysis was employed to predict intention. Descriptive statistical analysis yielded mean scores (standard deviation) as 3.59 (0.46) for ATB, 3.34 (0.40) for SN, 3.75 (0.29) for PBC, and 4.12 (0.66) for intention. The model adequately described the data based on a comparison of the model with predictors and the null model, which revealed a substantial improvement in fit (p<0.05). Moreover, the predictors accounted for 50.3% of the variation in the intention to use broadband Internet, demonstrating the predictive power of the TPB constructs. Furthermore, the TPB constructs were all significant positive predictors of intention: ATB (β=1.938, p<0.05), SN (β=2.144, p<0.05), and PBC (β=1.437, p=0.013). The findings of this study provide insight into how behavioral factors influence the likelihood of individuals adopting broadband Internet and could guide interventions through policies meant to promote broadband adoption.

A Study of the Submarine Periscope Detection Algorithm using Characteristic of Target HRRP Information

  • Jin-Hyang Ahn;Chi-Sun Baek
    • Journal of the Korea Society of Computer and Information
    • /
    • v.29 no.1
    • /
    • pp.131-138
    • /
    • 2024
  • The ability of Combat Management System(CMS) to respond quickly and accurately to threat to a naval vessel is directly related to the survivability and combat power of the vessel. However, current method for detecting enemy submarine periscope in CMS rely on manual and subjective method that require operators to manually verify and analyze information received from sensor. This delays the response time to the threat, making the vessel less viable. This paper introduces a periscope detection algorithm that classifies the plot information generated by High Resolution Range Profile(HRRP) into probability-based suspicion classes and dramatically reduces threat response time through classified notifications. Algorithm validation showed 133.3791 × 106 times faster and 12.78%p higher detection rate than operator, confirming the potential for reduces threat response time to increase vessel survivability.