• Journal of the Institute of Convergence Signal Processing
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• v.2 no.1
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• pp.113-118
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• 2001

In this paper, we implement modules of the MPEG-2 AAC decoder using VHDL. Tools of Huffman decoder, inverse quantizer and high-density filter bank which are necessary for the AAC decoder. We designed the high speed Huffman decoder using the method of octal tree search algorithm, and reduced computational time of filter bank using IFFT. Also, we use table of computation result for an exponential calculation of Inverse quantizer in fixed-point hardware, and reduced the size of table using linear interpolation. Modules implemented by hardware through optimization work in real time at low clock frequency are possible to reduce the system size.

• Therapeutic Science for Rehabilitation
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• v.10 no.3
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• pp.43-56
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• 2021

Objective : The objective of this study was to present the components of frailty by organizing the definitions of frail elderly and analyzing the tools used to screen them. Methods : This study searched for articles at involved frailty screening assessments in the elderly. Databases including CINAHL, Embase, Medline Complete, and PubMed were searched. The search terms were "assess" AND "frailty" AND "screening" AND ("frail elderly" OR "elderly"). Results : A total of 539 articles were identified by the search and 11 articles were selected. Frailty occurs due to the depressed function of multidimensional factors, and a frail elderly person is defined as one at high risk of health degeneration, functional impairment, and occurrence of disability, and having a high level of threat to life. Seven tools were selected from 11 articles. The most frequently used tool was the frailty phenotype, which was used in five articles (45.4%). The identified components of frailty were physical, activity participation, nutrition, psychological, social, overall health, and age. Conclusion : The results confirmed the definition and components of frailty. This study is expected to contribute to the future development of standardized evaluation tools for screening frail elderly individuals and intervention programs for the management of the frail elderly.

• Journal of Intelligence and Information Systems
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• v.24 no.2
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• pp.195-220
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• 2018

In this study, we conducted an empirical analysis of the factors that affect the change of Bitcoin Closing Price. Previous studies have focused on the security of the block chain system, the economic ripple effects caused by the cryptocurrency, legal implications and the acceptance to consumer about cryptocurrency. In various area, cryptocurrency was studied and many researcher and people including government, regardless of country, try to utilize cryptocurrency and applicate to its technology. Despite of rapid and dramatic change of cryptocurrencies' price and growth of its effects, empirical study of the factors affecting the price change of cryptocurrency was lack. There were only a few limited studies, business reports and short working paper. Therefore, it is necessary to determine what factors effect on the change of closing Bitcoin price. For analysis, hypotheses were constructed from three dimensions of consumer, industry, and macroeconomics for analysis, and time series data were collected for variables of each dimension. Consumer variables consist of search traffic of Bitcoin, search traffic of bitcoin ban, search traffic of ransomware and search traffic of war. Industry variables were composed GPU vendors' stock price and memory vendors' stock price. Macro-economy variables were contemplated such as U.S. dollar index futures, FOMC policy interest rates, WTI crude oil price. Using above variables, we did times series regression analysis to find relationship between those variables and change of Bitcoin Closing Price. Before the regression analysis to confirm the relationship between change of Bitcoin Closing Price and the other variables, we performed the Unit-root test to verifying the stationary of time series data to avoid spurious regression. Then, using a stationary data, we did the regression analysis. As a result of the analysis, we found that the change of Bitcoin Closing Price has negative effects with search traffic of 'Bitcoin Ban' and US dollar index futures, while change of GPU vendors' stock price and change of WTI crude oil price showed positive effects. In case of 'Bitcoin Ban', it is directly determining the maintenance or abolition of Bitcoin trade, that's why consumer reacted sensitively and effected on change of Bitcoin Closing Price. GPU is raw material of Bitcoin mining. Generally, increasing of companies' stock price means the growth of the sales of those companies' products and services. GPU's demands increases are indirectly reflected to the GPU vendors' stock price. Making an interpretation, a rise in prices of GPU has put a crimp on the mining of Bitcoin. Consequently, GPU vendors' stock price effects on change of Bitcoin Closing Price. And we confirmed U.S. dollar index futures moved in the opposite direction with change of Bitcoin Closing Price. It moved like Gold. Gold was considered as a safe asset to consumers and it means consumer think that Bitcoin is a safe asset. On the other hand, WTI oil price went Bitcoin Closing Price's way. It implies that Bitcoin are regarded to investment asset like raw materials market's product. The variables that were not significant in the analysis were search traffic of bitcoin, search traffic of ransomware, search traffic of war, memory vendor's stock price, FOMC policy interest rates. In search traffic of bitcoin, we judged that interest in Bitcoin did not lead to purchase of Bitcoin. It means search traffic of Bitcoin didn't reflect all of Bitcoin's demand. So, it implies there are some factors that regulate and mediate the Bitcoin purchase. In search traffic of ransomware, it is hard to say concern of ransomware determined the whole Bitcoin demand. Because only a few people damaged by ransomware and the percentage of hackers requiring Bitcoins was low. Also, its information security problem is events not continuous issues. Search traffic of war was not significant. Like stock market, generally it has negative in relation to war, but exceptional case like Gulf war, it moves stakeholders' profits and environment. We think that this is the same case. In memory vendor stock price, this is because memory vendors' flagship products were not VRAM which is essential for Bitcoin supply. In FOMC policy interest rates, when the interest rate is low, the surplus capital is invested in securities such as stocks. But Bitcoin' price fluctuation was large so it is not recognized as an attractive commodity to the consumers. In addition, unlike the stock market, Bitcoin doesn't have any safety policy such as Circuit breakers and Sidecar. Through this study, we verified what factors effect on change of Bitcoin Closing Price, and interpreted why such change happened. In addition, establishing the characteristics of Bitcoin as a safe asset and investment asset, we provide a guide how consumer, financial institution and government organization approach to the cryptocurrency. Moreover, corroborating the factors affecting change of Bitcoin Closing Price, researcher will get some clue and qualification which factors have to be considered in hereafter cryptocurrency study.

• 한국체육학회지인문사회과학편
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• v.55 no.3
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• pp.613-626
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• 2016

The purpose of this study was to identify the effect of dance sport participation on body composition and cardiometabolic parameters in obese middle aged women, by analyzing the current literature(2005-2015). The data from 9 studies were included in this systematic review and meta-analysis, and Comprehensive Meta Analysis(CMA) Version 2.0 was used for statistical analysis. A total of 197 middle aged women(intervention group: n=98, control group: n=99) were included in this analysis. An average duration of the dance sports intervention was 12.2 weeks, 3.13 session per week and 75 minutes per session. Significant reduction in body weight, body fat percent, triglyceride, low density lipoprotein LDL-Cholesterol and leptin were observed while significant increase in high density lipoprotein HDL-cholesterol was observed after the intervention. There were large effect size in percent body fat, total cholesterol, HDL-cholesterol and LDL-cholesterol while medium and small effect size were observed for triglyceride and body weight, leptin, insulin and glucose, respectively. In conclusion, dance sport participation resulted in positive changes in body composition and cardiometabolic parameter in middle aged women.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.5
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• pp.1087-1096
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• 2011

Vehicular Ad Hoc Network(VANET) using wireless network is offering the communications between vehicle and vehicle(V2V) or vehicle and infrastructure(V2I). VANET is being actively researched from industry field and university because of the rapid developments of the industry and vehicular automation. Information, collected from VANET, of velocity, acceleration, condition of road and environments provides various services related with safe drive to the drivers, so security over network is the inevitable factor. For the secure message authentication, a number of authentication proposals have been proposed. Among of them, a scheme, proposed by Jung, applying database search algorithm, Bloom filter, to RAISE scheme, is efficient authentication algorithm in a dense space. However, k-anonymity used for obtaining the accurate vehicular identification in the paper has a weak point. Whenever requesting the righteous identification, all hash value of messages are calculated. For this reason, as the number of car increases, a amount of hash operation increases exponentially. Moreover the paper does not provide a complete key exchange algorithm while the hand-over operation. In this paper, we use a Received Signal Strength Indicator(RSSI) based velocity and distance estimation algorithm to localize the identification and provide the secure and efficient algorithm in which the problem of hand-over algorithm is corrected.

• Korean Journal of Psychosomatic Medicine
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• v.29 no.2
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• pp.86-94
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• 2021

Objectives : The risk of weight gain is high when using antipsychotic drugs, and the prevalence of obesity in people with mental illness is high. Obesity management in psychiatric patients is important because obesity causes various complications and lowers treatment adherence and quality of life. Methods : In this review, we summarized the management strategies for obesity that can occur when using antipsychotic drugs through a web search. Results : Evaluate obesity-related risk factors and related indicators from the beginning of treatment, and conduct regular monitoring. If an antipsychotic drug is used and obesity is induced, a change to a drug with a low metabolic risk may be attempted. Sufficient interventions are also needed on the need to manage obesity, a healthy diet, and exercises in patients and their families. If weight loss is not achieved and obesity-related complications are associated, the use of anti-obesity drugs may be considered. Pharmacological treatment approaches should be carefully considered. Conclusions : Non-pharmacological and pharmacological therapies can be applied to manage weight gain and obesity caused by the use of antipsychotic drugs. When using anti-obesity drugs, the characteristics of mental disorders, drug safety, and drug interactions should be considered.

• Journal of Nutrition and Health
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• v.57 no.1
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• pp.1-15
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• 2024

Purpose: This study aimed to develop a comprehensive tool for assessing dietary guideline adherence among older Korean adults, focusing on the domains of food and nutrient intake, eating habits, and dietary culture. Methods: Candidate items were selected through a literature search and expert advice. The degree of adherence to dietary guidelines was then evaluated through a face-to-face survey conducted on 800 elderly individuals across five nationwide regions. The items for dietary guideline adherence evaluation tool were selected through exploratory factor analysis of the candidate items in each of the three areas of the dietary guidelines, and construct validity was verified by performing confirmatory factor analysis. Using the path coefficient of the structural equation model, weights were assigned to each area and item to calculate the dietary guideline adherence score. A rating system for the evaluation tool was established based on national survey results. Results: A total of twenty-eight items were selected for evaluating dietary guideline adherence among the elderly. Thirteen items related to food intake, seven to eating habits, and eight to dietary culture. The average score for dietary guideline adherence was 56.9 points, with 49.8 points in the food intake area, 63.2 points in the eating habits area, and 58.6 points in the dietary culture area. Statistically significant correlations were found between dietary guideline adherence scores and food literacy (r = 0.679) and nutrition quotient scores (r = 0.750). Conclusion: The developed evaluation tool for dietary guideline adherence among Korean older adults can be used as a simple and effective instrument for comprehensively assessing their food and nutrient intake, dietary habits, and dietary culture.