• Journal of the Institute of Electronics Engineers of Korea SP
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• v.42 no.2 s.302
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• pp.151-160
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• 2005

In this paper, we propose a new fast motion estimation algorithm based on successive elimination algorithm (SEA) which can dramatically reduce heavy complexity of the variable block size motion estimation in H.264 encoder. The proposed method applies the conventional SEA in the hierarchical manner to the seven block modes. That is, the proposed algorithm can remove the unnecessary computation of SAD by means of the process that the previous minimum SAD is compared to a current SAD for each mode which is obtained by accumulating sum norms or SAD of $4\times4$ blocks. As a result, we have tighter bound in the inequality between SAD and sum norm than in the ordinary SEA. If the basic size of the block is smaller than $4\times4$, the bound will become tighter but it also causes to increase computational complexity, specifically addition operations for sum norm. Compared with fast full search algorithm of JM of H.264, our algorithm saves 60 to $70\%$ of computation on average for several image sequences.

• Tuberculosis and Respiratory Diseases
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• v.87 no.2
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• pp.165-175
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• 2024

Background: The prevalence of small airway dysfunction (SAD) in patients with chronic obstructive pulmonary disease (COPD) across different ethnicities is poorly understood. This study aimed to estimate the prevalence of SAD in stable COPD patients. Methods: We conducted a cross-sectional study of 196 consecutive stable COPD patients. We measured pre- and post-bronchodilator (BD) lung function and respiratory impedance. The severity of COPD and lung function abnormalities was graded in accordance with the Global Initiative for Chronic Obstructive Lung Disease (GOLD) guidelines. SAD was defined as either difference in whole-breath resistance at 5 and 19 Hz > upper limit of normal or respiratory system reactance at 5 Hz < lower limit of normal. Results: The cohort consisted of 95.9% men, with an average age of 66.3 years. The mean forced expiratory volume 1 second (FEV₁) % predicted was 56.4%. The median COPD assessment test (CAT) scores were 14. The prevalence of post-BD SAD across the GOLD grades 1 to 4 was 14.3%, 51.1%, 91%, and 100%, respectively. The post-BD SAD and expiratory flow limitation at tidal breath (EFL_T) were present in 62.8% (95% confidence interval [CI], 56.1 to 69.9) and 28.1% (95% CI, 21.9 to 34.2), respectively. COPD patients with SAD had higher CAT scores (15.5 vs. 12.8, p<0.01); poor lung function (FEV₁% predicted 46.6% vs. 72.8%, p<0.01); lower diffusion capacity for CO (4.8 mmol/min/kPa vs. 5.6 mmol/min/kPa, p<0.01); hyperinflation (ratio of residual volume to total lung capacity % predicted: 159.7% vs. 129%, p<0.01), and shorter 6-minute walk distance (367.5 m vs. 390 m, p=0.02). Conclusion: SAD is present across all severities of COPD. The prevalence of SAD increases with disease severity. SAD is associated with poor lung function and higher symptom burden. Severe SAD is indicated by the presence of EFL_T.

• Journal of the Semiconductor & Display Technology
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• v.8 no.4
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• pp.95-100
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• 2009

This paper presents an efficient disparity matching, using sum of absolute difference (SAD) and dynamic programming (DP) algorithm. This algorithm makes use of one of area-based algorithm which is the absolute sum of the pixel difference corresponding to the window size. We use the information of the right eye brightness (B) and the left eye brightness to get an best matching results and apply the results to the left eye image using the window go by the brightness of the right eye image. This is that we can control the brightness. The major feature of this algorithm called SAD+DP+B is that although Root Mean Square (RMS) performance is slightly less than SAD+DP, due to comparing original image, its visual performance is increased drastically for matching the disparity map on account of its matching compared to SAD+DP. The simulation results demonstrate that the visual performance can be increased and the RMS is competitive with or slightly higher than SAD+DP.

• Proceedings of the IEEK Conference
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• 2007.07a
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• pp.263-264
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• 2007

In this paper, an efficient SAD(Sum of Absolute Differences) processor structure for motion estimation of 0.264 is proposed. SAD processors are commonly used both in full search methods for motion estimation or in fast search methods for motion estimation. Proposed structure consists of SAD calculator block, combinator block, and minimum value calculator block. Especially, proposed structure is simplified by using Distributed Arithmetic for addition operation. The Verilog-HDL(Hard Description Language) coding and FPGA implementation results for the proposed structure show 39% and 32% gate count reduction comparison with those of the conventional structure, respectively. Due to its efficient processing scheme, the proposed SAD processor structure can be widely used in size dominant H.264 chip.

• Sleep Medicine and Psychophysiology
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• v.30 no.1
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• pp.13-21
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• 2023

The Seasonal Affective Disorder (SAD) is a disorder characterized by prolonged periods of depression and various physical and psychological symptoms experienced during specific seasons, typically winter. In this review aims to provide a comprehensive overview of SAD with a specific focus on psychophysiological aspects. Through the review from ancient times to the present, this paper explores the characteristics, causes, and underlying mechanisms of SAD. Particularly, it comprehensively reviews the research findings on the relationship between external factors such as light, sunlight, climate, and their association with SAD. Furthermore, the paper discusses the interplay between SAD and psychophysiological changes, along with the latest research trends in treatment and prevention strategies. By combining theoretical and practical perspectives on SAD, this article aims to provide a holistic understanding and offer suggestions for future research directions and clinical interventions.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.45 no.1
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• pp.55-61
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• 2008

A real-time three-dimensional vision is a passive system, which would support various applications including collision avoidance, home networks. It is a good alternative of active systems, which are subject to interference in noisy environments. In this paper, we designed a SAD correlator with respect to resource usage for a real-time three-dimensional vision system. Regular structures, linear data flow and abundant parallelism make the correlation algorithm a good candidate for a reconfigurable hardware. We implemented two versions of SAD correlator in HDL and synthesized them to determine resource requirements and performance. From the experiment we show that the SAD correlator fits into reconfigurable hardware in marginal cost and can handle about 30 frames/sec with $640{\times}480$ images.

• Journal of Korea Society of Industrial Information Systems
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• v.18 no.4
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• pp.53-60
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• 2013

We propose a method for improving detection speed of small target detection system using SAD algorithm. First, the proposed method deletes clutters using a median filter. Next, it does closing and opening operation using various size of structure elements, and extracts candidate pixels for a target with subtraction operation between the results of closing and opening operation. It finally detects a small target using a gaussian distance function from the candidate pixels. To improve detection speed, it detects a target performing SAD algorithm only for the predicted target areas for next every 7 frames. The proposed method not only enables a real time process because it considers only predicted area but also shows detecting rate of 97%.

• Journal of Distribution Science
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• v.13 no.3
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• pp.11-19
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• 2015

Purpose - This study examines the strength of sadness and the belief it will last, as regards the effects of the degree of self-extension to the sad-evoking event on choice behavior related to self-control dilemmas. Research Design, Data, and Methodology - In an experiment involving high and low self-extension groups, 261 undergraduates answered self-administered questionnaires. The hypotheses were tested using AMOS 19.0 and path analysis. Results - The positive relationship between the degree of self-extension to the sad-evoking event and hedonic vs. utilitarian food choices was mediated by the belief that the sadness will last. There is a significant indirect path from the degree of self-extension (to the sad-evoking event) to the strength of the sadness, and to the belief that it will last with respect to hedonic vs. utilitarian food choices. Conclusions - These results show that beliefs about sad emotion transience depend on both the degree of self-extension to the sad-evoking event and the strength of sadness, and that the belief that sad emotions are transient makes sad people susceptible to temptation when facing self-control related dilemmas.

• Anxiety and mood
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• v.12 no.1
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• pp.42-46
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• 2016

The therapeutic effect of cognitive behavioral therapy (CBT) for patients with Social Anxiety Disorder (SAD) is supported by evidence from numerous studies. This article provides an overview of cognitive models and major techniques (i.e., cognitive restructuring and exposure) of CBT for SAD, developed by the study group of SAD in the Korean Academy of Anxiety Disorder. Korean-culture specific factors and new trends such as a third wave of CBT are also described.

• Korean Journal of Biological Psychiatry
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• v.22 no.4
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• pp.216-222
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• 2015

Objectives The principal aim of the present study was to investigate the characteristic depressive symptoms in patients with social anxiety disorder (SAD) and panic disorder in comparison to patients with depressive disorder. Methods This study included 132 patients with SAD, 128 panic disorder and 64 depressive disorder (major depressive disorder, dysthymia etc.) patients without comorbid psychiatric disorders. The Beck Depressive Inventory (BDI) is used to measure depressive symptoms. We divided BDI into three categories originally described by Shafer AB, including negative attitude toward self, performance impairment, and somatic symptoms. We compared the depressive symptoms of SAD, panic disorder and depressive disorder by using ANOVA. Results Negative attitude toward self was noticeable in SAD (SAD $0.54{\pm}0.23$, panic disorder $0.41{\pm}0.17$, depressive disorder $0.46{\pm}0.11$, p < 0.001). Performance impairment and somatic symptoms were remarkable in panic disorder than in SAD and depressive disorder (performance impairment : SAD $0.39{\pm}0.21$, panic disorder $0.44{\pm}0.14$, depressive disorder $0.40{\pm}0.09$, p = 0.009 ; somatic symptoms : SAD $0.07{\pm}0.10$, panic disorder $0.15{\pm}0.12$, depressive disorder $0.14{\pm}0.08$, p < 0.001). Conclusions The results facilitate an approach to optimal treatment for patients with comorbidity of anxiety disorder and depression.