• Journal of the Korean Society for Library and Information Science
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• v.42 no.1
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• pp.127-154
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• 2008

The purpose of this study was to survey the current situation of young adults' reading programs in public library. For this purpose, this study conducted a questionnaire survey to the young adults' program librarians on the current state of the young adults' reading programs. Based on the survey results, this study suggested directions of reading education. reading policy and reading programs operation in public library.

• 한국지구물리탐사학회:학술대회논문집
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• 2003.11a
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• pp.449-454
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• 2003

The accurate mapping of the basement is one of the most crucial factors in construction of harbour facilities and bridges in the coastal areas. In shallow waters, the seismic reflection method often fails to image the basement geometry beneath the sediment cover in many cases. We present the result of a shallow marine seismic refraction survey using two ships, l2-channel hydrophone arrays deployed on the bottom and a borehole sparker or percussion powder as sources. Velocity structure could be computed by tomography algorithm since more than 6 different source points had been applied for one spread. The comparison of the results of the refraction survey with drilling logs demonstrates remarkable consistency in basement geometry. It thus appears that the refraction method in this study is an efficient and cost-effective way to investigate the basement structure in coastal area, river, and lake.

• The Korean Journal of Food And Nutrition
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• v.19 no.2
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• pp.126-142
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• 2006

A survey was conducted to investigate the relationship between knowledge of perceived food safety and actual food purchase practices among parents of children under the age of seven (N=309) in 2005. The seventeen following perceived food safety items were included in the survey (bovine spongiform encephalopathy, foot and mouth disease, pathogenic avian influenza, swine fever, allergens, GMO, irradiated food, food poisoning bacteria, endocrine disrupter, antibiotics, food additives, carcinogen, natural toxin, agrichemical residues, place of origin, cultivation methods, and heavy metal) Most parents were highly concerned about investigating all food safety topics. Up to 90.0% of the participants recognized the importance of food safety. The public concern has caused a considerable decline in the demand for food afterreceiving news about food safety through mass media, Also, the majority of subjects required correct food safety information.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.7
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• pp.2997-3017
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• 2020

With the advancement in the field of image processing, images are being processed using various image processing algorithms. Nowadays, many efficient content-aware image resizing techniques are being used to safeguard the prominent regions and to generate better results that are visually appealing and pleasing while resizing. Advancements in the new display device with varying screen size demands the development of efficient image resizing algorithm. This paper presents a survey on various image retargeting methods, comparison of image retargeting results based on performance, and also exposes the main challenges in image retargeting such as content preservation of important regions, distortion minimization, and improving the efficiency of image retargeting methods. After reviewing literature from researchers it is suggested that the use of the single operator in image retargeting such as scaling, cropping, seam carving, and warping is not sufficient for obtaining satisfactory results, hence it is essential to combine multiple image retargeting operators. This survey is useful for the researchers interested in content-aware image retargeting.

• Journal of Information Processing Systems
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• v.16 no.5
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• pp.1015-1033
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• 2020

With promising results and enormous capability, deep learning technology has attracted more and more attention to both theoretical research and applications for a variety of image processing and computer vision tasks. In this paper, we investigate 32 research contributions that apply deep learning techniques to the agriculture domain. Different types of deep neural network architectures in agriculture are surveyed and the current state-of-the-art methods are summarized. This paper ends with a discussion of the advantages and disadvantages of deep learning and future research topics. The survey shows that deep learning-based research has superior performance in terms of accuracy, which is beyond the standard machine learning techniques nowadays.

• Journal of the Korean Data and Information Science Society
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• v.15 no.1
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• pp.1-10
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• 2004

In the Korean Economically Active Population Survey(EAPS), the sample sizes for small areas are typically too small to provide reliable estimators because the EAPS has been designed to produce unemployment statistics for large areas such as Metropolitan Cities and Province. In this study, we consider the synthetic and composite estimators for the unemployment rate of small areas, and apply them to real data on Choongbook province which is from the Korean EAPS of December 2000. The mean square errors of these estimators were estimated by the Jackknife method, and the efficiencies of small area estimators were evaluated in terms of the relative standard errors and the relative root mean square errors. As a result, the composite estimator is much more efficient than other estimators and it turns out that the composite estimator can produce the reliable estimates of the unemployment rate of small areas under the current EAPS system.

• Journal of the Korean Data and Information Science Society
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• v.28 no.2
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• pp.443-449
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• 2017

Estimation of population proportion like the distribution rate of LED TV and the prevalence of a disease are often estimated based on survey sample data. Population proportion is generally considered as a special form of population mean. In complex sampling like stratified multistage sampling with unequal probability sampling, the denominator of mean may be random variable and it is estimated like ratio estimator. In this research, we examined the estimation of distribution rate based on stratified multistage sampling, and determined some numerical outcomes using stratified random sample data with about 25% of missing observations. In the data used for this research, the survey weight was determined by deterministic way. So, the weights are not random variable, and the population distribution rate and its variance estimator can be estimated like population mean estimation. When the weights are not random variable, if one estimates the variance of proportion estimator using ratio method, then the variances may be inflated. Therefore, in estimating variance for population proportion, we need to examine the structure of data and survey design before making any decision for estimation methods.

• Korean Journal of Community Nutrition
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• v.5 no.2
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• pp.253-262
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• 2000

A survey was performed to provide current information on professional catering companies. Twenty-three catering companies out of thirty-eight(60% recovery) responded the survey for December in 1998. Foodservice establishments managed by 16 small-middle sized catering companies provided an average of 11,200 meals daily, while those managed by major and small-middle sized catering companies were mainly office(72.2%, 57.1%) and school foodservice(15.2%, 26%). The rates of sales of major catering companies and small-middle sized catering companies increased 24%, 30% respectively in 1998. Self-evaluation in catering companies was conducted for sanitary management. Unsatisfactory results from self evaluation were found in three categories, such as, measurement of internal temperature of food materials at reception, ventilation system in the working area, and hand-washing stations with equipment cleaning and sanitizing facilities in front of the working area. Most catering companies expressed a willingness to apply the Hazard Analysis Critical Control Point (HACCP) system from this survey. $\ulcorner$Professional catering business has arisen as an area requiring more consideration and further study for the production of a safe food.$\lrcorner$

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.1165-1167
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• 2003

Geometric corrections are required to compensate skew effects, earth rotation effects and so on. Parameters for geometric modeling can be acquired from the metadata information. These parameters allow to locate on ground every pixel of acquired images. In this paper, we tested the precision of geometric modeling of linear pushbroom images, acquired by SPOT 3 and 5 using the satellite orbit information itself without additional external data. The result acquired from examination to recovery the geometry of image using 30 GCPs have about 650m RMSE in SPOT 3 and about 170m RMSE in SPOT 5.

• Journal of information and communication convergence engineering
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• v.17 no.1
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• pp.21-40
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• 2019

This paper presents a comprehensive survey of various artificial intelligence (AI) techniques implemented in cognitive radio engine to improve cognition capability in cognitive radio networks (CRNs). AI enables systems to solve problems by emulating human biological processes such as learning, reasoning, decision making, self-adaptation, self-organization, and self-stability. The use of AI techniques is studied in applications related to the major tasks of cognitive radio including spectrum sensing, spectrum sharing, spectrum mobility, and decision making regarding dynamic spectrum access, resource allocation, parameter adaptation, and optimization problem. The aim is to provide a single source as a survey paper to help researchers better understand the various implementations of AI approaches to different cognitive radio designs, as well as to refer interested readers to the recent AI research works done in CRNs.