• 한국디지털정책학회:학술대회논문집
• /
• 2004.11a
• /
• pp.129-144
• /
• 2004

The purpose of this paper is to identify current trends in the sport industry in Korea, U.S. and Japan and to also analyze the potential of the sport industry in the 21st Century. This paper analyzes the current sport related index of Korea, U.S. and Japan and the effect of scientific development. Scientific development has provided prosperity to modern societies and has thus increased the personal disposable income and leisure time available to people living in these societies, Many people spend their?leisure time on sports related activities and the number is growing day by day and this situation makes the sports market a very attractive and important business sector in the world. Considering the increase of household income and leisure time and the introduction of a five-day working week system, the sports market potential growth will be considerable and it is certain the demand for sports related activities, services and products will also show increases in the 21st Century. This paper estimates that sports expenditures could be estimated at $10 billion in Korea, $150 billion in U.S and 4.3 billion yen in Japan. The general trends currently in action in the sport industry estimate that these numbers are growing rapidly and the relative importance of the sport industry among all industries is becoming one of the most important new emerging markets in the world.

• Journal of Korean Academy of Fundamentals of Nursing
• /
• v.12 no.3
• /
• pp.325-336
• /
• 2005

Purpose: This study was done to analyze the trends in excercise-related research in nursing and non nursing research studies published in Korea. Method: Two hundred and ten research studies published in Korea between January, 1990 and December, 2002 were analyzed according to the criteria of methological characteristics, pattern of excercise-related program, and measurement index of exercise effect. Results: There were twice many papers from nursing compared to other fields, and many experimental studies in nursing were done with more variety than in non nursing fields. Aspects of exercise pattern, such as excercise type. duration, and frequency, exercise-intervention pattern, and applying theory were especially included. When patterns of excercise therapy and index of exercise effect were analyzed, each researcher used their own unique excercise contents and intervention patterns(excercise time per week, exercise duration at each time period, excercise, intervention time, and etc). Conclusion: For the importance of exercise therapy to health improvement and the proper suggestion of exercise therapy on the basis of this research, meta-analysis of exercise effect are needed, and with this analysis, intervention patterns of exercise, development of standard exercise therapy, and identification of exercise effects are required.

• Journal of Korea Society of Digital Industry and Information Management
• /
• v.15 no.1
• /
• pp.1-7
• /
• 2019

The objective of this study is to examine the trends in big data. Research abstracts were extracted from 4,019 articles, published between 1995 and 2018, on Web of Science and were analyzed using topic modeling and time series analysis. The 20 single-term topics that appeared most frequently were as follows: model, technology, algorithm, problem, performance, network, framework, analytics, management, process, value, user, knowledge, dataset, resource, service, cloud, storage, business, and health. The 20 multi-term topics were as follows: sense technology architecture (T10), decision system (T18), classification algorithm (T03), data analytics (T17), system performance (T09), data science (T06), distribution method (T20), service dataset (T19), network communication (T05), customer & business (T16), cloud computing (T02), health care (T14), smart city (T11), patient & disease (T04), privacy & security (T08), research design (T01), social media (T12), student & education (T13), energy consumption (T07), supply chain management (T15). The time series data indicated that the 40 single-term topics and multi-term topics were hot topics. This study provides suggestions for future research.

• Korean Journal of Remote Sensing
• /
• v.37 no.4
• /
• pp.815-831
• /
• 2021

Drought forecasting is crucial to minimize the damage to food security and water resources caused by drought. Satellite-based drought research has been conducted since 1980s, which includes drought monitoring, assessment, and prediction. Unlike numerous studies on drought monitoring and assessment for the past few decades, satellite-based drought forecasting has gained popularity in recent years. For successful drought forecasting, it is necessary to carefully identify the relationships between drought factors and drought conditions by drought type and lead time. This paper aims to provide an overview of recent research trends and challenges for satellite-based drought forecasts focusing on lead times. Based on the recent literature survey during the past decade, the satellite-based drought forecasting studies were divided into three groups by lead time (i.e., short-term, sub-seasonal, and seasonal) and reviewed with the characteristics of the predictors (i.e., drought factors) and predictands (i.e., drought indices). Then, three major challenges-difficulty in model generalization, model resolution and feature selection, and saturation of forecasting skill improvement-were discussed, which led to provide several future research directions of satellite-based drought forecasting.

• Journal of the East Asian Society of Dietary Life
• /
• v.26 no.5
• /
• pp.457-465
• /
• 2016

Effects of soaking time on the physicochemical and structural characteristics of waxy rice flours and starches purified from flours using the alkaline steeping method were investigated. Korean cultivar Sinseonchal waxy rice was washed and soaked in tap water (1:2 w/w) and stored at room temperature for 15 days. On each day of soaking for 0, 1,2 3, 5, 10, and 15 days, pH of soaking water was measured and rice grains were dried, ground, and passed through 100 mesh sieve. The pH was reduced to 3.90 by day 5 and increased to 4.60 by day 15. The protein and ash contents, swelling powers and solubilities of flours and starches decreased with increasing soaking time. The water-binding capacities increased while trends were not similar to soaking time. The flour particle size distribution ranged from two to four peaks with increasing soaking times. Starch granule size decreased with increasing soaking time. The peak, trough, and final viscosities of flours and starches showed similar trends until 10 days and 15 days, respectively. The starches presented higher viscosities than the flours. The branch chain length distributions of amylopectin of starches showed an increaseed DP6~12 portion and decreased DP13~24 portion with increasing soaking time of waxy rice grains.

• Journal of Korea Water Resources Association
• /
• v.38 no.8 s.157
• /
• pp.617-629
• /
• 2005

In this paper, a hypothesis is tested that division of non-monotonic time series into monotonic parts will improve the estimation of trends through increased homogeneity in direction of time-variation using LOWESS smoothing and seasonal Kendall test. From the trend analysis of generated time series and water temperature, discharge, air temperature and solar radiation of Lake Daechung, it is shown that the hypothesis is supported by improved estimation of trends and slopes. Also, characteristics in homogeneity variation of seasonal changes seems to be more clearly manifested as homogeneity in direction of time-variation is increased. And this will help understand the effects of human intervention on natural processes and seems to warrant more in-depth study on this subject. The proposed method can be used for trend analysis to detect monotonic trends and it is expected to improve understanding of long-term changes in natural environment.

• Asian-Australasian Journal of Animal Sciences
• /
• v.21 no.8
• /
• pp.1088-1096
• /
• 2008

Data from milk performance testing were used to analyze genetic and environmental trends for purebred Tsigai, Improved Valachian and Lacaune sheep. 103,715 (Tsigai), 212,962 (Improved Valachian) and 2,196 (Lacaune) test-day records gathered by the State Breeding Institute of the Slovak Republic entered the analyses. The respective pedigree data comprised 23,724 (Tsigai), 51,401 (Improved Valachian) and 438 (Lacaune) records. The multiple-trait, mixed model methodology was used to predict the breeding values for daily milk yield, fat and protein content and to estimate the fixed and remaining random effects assumed to affect the above mentioned traits, separately for each breed. The breeding values for daily milk yield were adjusted for 150-day standardized lactation length by multiplying with the constant 150, as the breeding goal of the selection scheme in Slovakian sheep is to increase 150-day milk production and constant heritability throughout the whole lactation is assumed. The genetic trends were expressed as changes in averages of breeding values across birth years of animals. For Tsigai and Lacaune breeds, cumulative genetic changes over the analyzed period were 3.8 and 5.1 kg for 150-day milk, 0 and -0.16% for fat content and 0 and -0.12% for protein content. For Improved Valachian breed, either a low (1.6 kg for 150-day milk yield) or zero (fat and protein content) cumulative genetic change was found. The environmental trends were calculated as averages of solutions for flock-test day effect across years and months in which measurements were taken. A distinctive cyclical pattern which reflected short-time variation in milk production traits was found. Possible explanations for this phenomenon are given and discussed.

• Journal of Dental Anesthesia and Pain Medicine
• /
• v.21 no.2
• /
• pp.113-118
• /
• 2021

Background: Consumers and patients in the last two decades have increasingly turned to various internet search engines including Google for information. Google Trends records searches done using the Google search engine. Google Trends is free and provides data on search terms and related queries. One recent study found a large public interest in "dental anesthesia". In this paper, we further explore this interest in "dental anesthesia" and assess if any patterns emerge. Methods: In this study, Google Trends and the search term "dental pain" was used to record the consumer's interest over a five-year period. Additionally, using the search term "Dental anesthesia," a top ten related query list was generated. Queries are grouped into two sections, a "top" category and a "rising" category. We then added additional search term such as: wisdom tooth anesthesia, wisdom tooth general anesthesia, dental anesthetics, local anesthetic, dental numbing, anesthesia dentist, and dental pain. From the related queries generated from each search term, repeated themes were grouped together and ranked according to the total sum of their relative search frequency (RSF) values. Results: Over the five-year time period, Google Trends data show that there was a 1.5% increase in the search term "dental pain". Results of the related queries for dental anesthesia show that there seems to be a large public interest in how long local anesthetics last (Total RSF = 231) - even more so than potential side effects or toxicities (Total RSF = 83). Conclusion: Based on these results it is recommended that clinicians clearly advice their patients on how long local anesthetics last to better manage patient expectations.

• Journal of Digital Convergence
• /
• v.15 no.9
• /
• pp.471-477
• /
• 2017

This paper deals with the viewing rate trends of digital media service special reference to terrestrial real time broadcasting of IPTV. In a few years, TV viewership of young people is decreasing, the audience viewing rate of the terrestrial broadcasting which is the representative of the media decreases, and the change of the broadcasting industry is progressing. Especially after the terrestrial broadcaster 's VOD holdback was extended, the viewer' s movement on the competitive channel & mobile media was rapidly progressing. Researcher assumed that the viewing rate of the terrestrial real-time broadcasting has influenced the comprehensive channel, CJ E&M subsidiary channels. As a result, researcher verified using statistical methodological time series analysis and regression analysis. Based on these results, researcher expects media players to prepare policies for viewers' satisfaction and symbiotic growth of markets.

• The Journal of Bigdata
• /
• v.8 no.2
• /
• pp.15-25
• /
• 2023

Extreme learning machines (ELMs) are a major analytical method in various prediction fields. ELMs can accurately predict even if the data contains noise or is nonlinear by learning the complex patterns of time series data through optimal learning. This study presents the recent trends of machine learning models that are mainly studied as tools for analyzing online time series data, along with the application characteristics using existing algorithms. In order to efficiently learn large-scale online data that is continuously and explosively generated, it is necessary to have a learning technology that can perform well even in properties that can evolve in various ways. Therefore, this study examines a comprehensive overview of the latest machine learning models applied to big data in the field of time series prediction, discusses the general characteristics of the latest models that learn online data, which is one of the major challenges of machine learning for big data, and how efficiently they can learn and use online time series data for prediction, and proposes alternatives.