This paper discusses transformation of the US population census since 1990 and its future prospects by mentioning the 2000 census experience and the 2010 census plans. First, it examines the recommendations written for the 2000 census by the Committee on National Statistics, National Research Council, such as introduction of statistical estimation, response rate improvement, long form improvement, adjustment in differential undercount by race/ethnicity, alternative census methods, collection of small-area statistics in non-census years, and census frame enhancement, and describes how the US Supreme Court decision of 1998 led the Census Bureau to fail in conducting the US version of One Number Census which uses statistical estimation by matching actual enumerations from the Census main survey and post-enumeration survey. Second, it examines one key element of the 2010 U. S. census, say, the separation of long form from short form and describes the main features of American Community Survey, a rolling census which replaces long-form component of the traditional US "Decennial Census" Another element is MAF/TIGER Enhancement Program which aims to improve enumeration accuracy in the traditional short-form census and help the Census Bureau introduce a mobile computer system as part of high-tech census operation. In this paper, it is pointed out that the separation of long form from short form is not an accidental one which results from the US Supreme Court decision, but the Census Bureau at this time in 2008 worries about the accuracy of enumeration because it has failed to develop a mobile computer system and will have to canvass 115 million households by paper and pencil by hiring 600 thousand temporary census workers.
Journal of the Economic Geographical Society of Korea
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v.9
no.3
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pp.396-409
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2006
In this paper, first I try to sketch the changing Japanese labor market after 1990s, and then examine the so-called "Job $Caf{\acute{e}}$ program" in detail, which was initiated in 2004 by central and local governments to help young people fine suitable jobs, and finally investigate the possible direction for future labor policy as an important tool for revitalize the local economy. Latter half of 1990s witnessed the high unemployment rate among the population aged twenties in Japan, and the number of 'shinsotsu-mugyo', i.e. population not at work after completing high school or university, NEET (not in employment, education or training) and 'freeters' have grown rapidly. "Job $Caf{\acute{e}}$ program" was initiated as a public response to the increased youth unemployment, aiming at assisting young people's transition from education to career. In the Job $Caf{\acute{e}}$ program, job information service by MHLW, information service for high school students and university students by MEXT, placement service of career internship by METI are integrated into one service, and are provided by local government initiative, therefore named as "one stop service of employment". Although it is highly appreciated for one stop service, the Job cafe program has criticized for paying too much attention to the performance of projects, such as the number of users, and the number of successful job matching. At the final section of the paper, more practical spatial unit for executing effective regional plan on local employment and more empirical research on job search behavior are discussed.
Recently XML is becoming a de facto standard for online data exchange between heterogeneous systems and also the research of streaming XML data filtering comes into the spotlight. Since streaming XML data filtering technique needs rapid matching of queries with XML data, it is required that the query processing should be efficiently performed. Until now, most of researches focused only on partial sharing of path expressions or efficient predicate processing and they were work for time and space efficiency. However, if containment relationship between queries is previously calculated and the lowest level query is matched with XML data, we can easily get a result that high level queries can match with the XML data without any other processing. That is, using this containment technique can be another optimal solution for streaming XML data filtering. In this paper, we suggest an efficient XML data filtering based on prime number indexing and containment relationship between queries. Through some experimental results, we present that our suggested method has a better performance than the existing method. All experiments have shown that our method has a more than two times better performance even though each experiment has its own distinct test purpose.
Background: From January 2018, a policy was applied to differentially apply the co-payment for medical expenses of 15,000 won or more from 30% to 10%-30% for each medical fee. This policy lowers the burden on the medical use of the elderly, and it is necessary to analyze the effect of the policy by confirming changes in medical use and supply behavior after 2 years. Methods: The National Health Insurance Service's national medical use database was used. As for the analysis method, first, the medical use and medical supply behavior change over the age of 65 years were confirmed, and second, in order to check the net effect of the policy, the 66-year-old as the experimental group and the 63-year-old as the control group were selected as the control group. The propensity score matching was performed using the variables of age, living alone, income quartile, residence, disability, chronic disease, and co-morbid disease scores, and then it was analyzed using the difference in difference analysis method. Results: The share of the number of treatments under 15,000 won decreased from 37.0% in 2017 to 20.2% in 2018, while the share of the number of treatments under 15,001-20,000 won increased from 8.0% to 22.7%. It was confirmed that the reason for the increase in the cost of treatment per treatment was the result of the increase in the amount of physical therapy and examination. As a result of the policy effect, the burden of co-payment per person was reduced, and as a result, the number of hospital visits per person and the total medical cost per person increased. Conclusion: The self-pay rate differential policy reduced the burden of medical expenses for the elderly and confirmed the increase in medical use. However, the interpretation of the increase in medical use was not able to distinguish whether the unsatisfactory medical care was satisfied or the inducement demand. Efficient allocation of resources is a more important point in the future when the super-aged society is in front. It is necessary to prepare a plan to induce rational medical use within a range that does not impair the medical accessibility of the elderly.
In this paper, we introduce a real-time stereo-to-multiview conversion system using FPGA and GPU. The system is based on two different devices so that it consists of two major blocks. The first block is a disparity estimation block that is implemented on FPGA. In this block, each disparity map of stereoscopic video is estimated by DP(dynamic programming)-based stereo matching. And then the estimated disparity maps are refined by post-processing. The refined disparity map is transferred to the GPU device through USB 3.0 and PCI-express interfaces. Stereoscopic video is also transferred to the GPU device. These data are used to render arbitrary number of virtual views in next block. In the second block, disparity-based view interpolation is performed to generate virtual multi-view video. As a final step, all generated views have to be re-arranged into a single image at full resolution for presenting on the target autostereoscopic 3D display. All these steps of the second block are performed in parallel on the GPU device.
In this paper, we propose a new image alignment technique based on CUDA SURF in order to solve the initial image alignment problem that frequently occurs in machine vision applications. Machine vision systems using multi-spectral images have recently become more common for solving various decision problems that cannot be performed by the human vision system. These machine vision systems mostly use markers for the initial image alignment. However, there are some applications where the markers cannot be used and the alignment techniques have to be changed whenever their markers are changed. In order to solve these problems, we propose a new image alignment method for multi-spectral machine vision applications based on SURF extracting image features without depending on markers. In this paper, we propose an image alignment method that obtains a sufficient number of feature points from multi-spectral images using SURF and removes outlier iteratively based on a least squares method. We further propose an effective preliminary scheme for removing mismatched feature point pairs that may affect the overall performance of the alignment. In addition, we reduce the execution time by implementing the proposed method using CUDA based on GPGPU in order to guarantee real-time operation. Simulation results show that the proposed method is able to align images effectively in applications where markers cannot be used.
Oh, Hyun Woo;Kim, Hyun Jung;Jun, Dae Won;Lee, Seung Min
Korean Journal of Community Nutrition
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v.20
no.6
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pp.460-467
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2015
Objectives: Excess sodium intake has been linked to obesity and obesity-related indices. However, the scientific evidence for this association is inadequate. The purpose of this study was to investigate the association between urinary sodium excretion and obesity-related indices among Korean adults. Methods: A convenience sample of 120 subjects (60 obese and 60 non-obese subjects) were recruited applying frequency matching for sex and age between two groups. Sodium intake level was assessed through 24-hour urine collection. Obesity-related metabolic risk factors, including fasting blood lipid indices, subcutaneous and visceral fat through computed tomography (CT), insulin resistance indices, blood pressure and liver enzymes were measured in all subjects. These obesity-related metabolic risk factors were compared between obese and non-obese group according to sodium excretion levels (<110 mEq/day, 110~180 mEq/day, >180 mEq/day). Results: After adjusting for age, gender, health behaviors (smoking, exercise, drinking), and energy intake, several obesity-related metabolic risk factors, including abdominal circumference, body fat percentage, subcutaneous and visceral fat, triglyceride, and systolic blood pressure were found to be significantly deteriorated as the sodium excretion level increases. In addition, multivariate adjusted-odds ratios of abdominal obesity, high blood triglyceride, and high blood pressure were found significantly higher in the highest sodium excretion group compared to the lowest group. The mean number of metabolic syndrome risk factors was also significantly greater in the highest sodium excretion group than in the lowest group. Conclusions: The current study findings suggested that high sodium intake can affect obesity and metabolic syndrome risk negatively, implying the necessity of future research on low-sodium diet intervention in relation to obesity and related health problems.
Bae, Hyun Kyung;Lee, Do Kyung;Kwon, Jung Hyun;Kim, Hae Soon;Sohn, Sejung;Hong, Young Mi
Clinical and Experimental Pediatrics
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v.57
no.8
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pp.357-362
/
2014
Purpose: The incidence of Kawasaki disease (KD) is rare in young infants (less than 3 months of age), who present with only a few symptoms that fulfill the clinical diagnostic criteria. The diagnosis for KD can therefore be delayed, leading to a high risk of cardiac complications. We examined the clinical characteristics and measured the serum levels of N-terminal pro-brain natriuretic peptide (NT-proBNP) levels of these patients for assessing its value in the early detection of KD. Methods: We retrospectively reviewed the data of young infants diagnosed with KD from 2004 to 2012. The control group included 20 hospitalized febrile patients. Laboratory data, including NT-proBNP were obtained for each patient in both groups. Results: Incomplete KD was observed in 21/24 patients (87.5%). The mean fever duration on admission was $1.36{\pm}1.0$ days in the KD group. Common symptoms included erythema at the site of Bacille Calmette-Guerin inoculation (70.8%), skin rash (50.0%), changes of oropharyngeal mucosa (29.1%), and cervical lymphadenopathy (20.8%). The mean number of major diagnostic criteria fulfilled was $2.8{\pm}1.4$. Five KD patients (20.8%) had only one symptom matching these criteria. The incidence of coronary artery complications was 12.5%. The mean serum NT-proBNP level in the acute phase, in the KD and control groups, were $4,159{\pm}3,714pg/mL$ and $957{\pm}902pg/mL$, respectively, which decreased significantly in the convalescent phase. Conclusion: Incomplete KD was observed in 87.5% patients. Serum NT- proBNP might be a valuable biomarker for the early detection of KD in febrile infants aged <3 months.
Linear and nonlinear time history analyses have been becoming more common in seismic analysis and design of structures with advances in computer technology and earthquake engineering. One of the most important issues for such analyses is the selection of appropriate acceleration time histories and matching these histories to a code design acceleration spectrum. In literature, there are three sources of acceleration time histories: artificial records, synthetic records obtained from seismological models and accelerograms recorded in real earthquakes. Because of the increase of the number of strong ground motion database, using and scaling real earthquake records for seismic analysis has been becoming one of the most popular research issues in earthquake engineering. In general, two methods are used for scaling actual earthquake records: scaling in time domain and frequency domain. The objective of this study is twofold: the first is to discuss and summarize basic methodologies and criteria for selecting and scaling ground motion time histories. The second is to analyze scaling results of time domain method according to ASCE 7-05 and Eurocode 8 (1998-1:2004) criteria. Differences between time domain method and frequency domain method are mentioned briefly. The time domain scaling procedure is utilized to scale the available real records obtained from near fault motions and far fault motions to match the proposed elastic design acceleration spectrum given in the Eurocode 8. Why the time domain method is preferred in this study is stated. The best fitted ground motion time histories are selected and these histories are analyzed according to Eurocode 8 (1998-1:2004) and ASCE 7-05 criteria. Also, characteristics of both near fault ground motions and far fault ground motions are presented by the help of figures. Hence, we can compare the effects of near fault ground motions on structures with far fault ground motions' effects.
KSCE Journal of Civil and Environmental Engineering Research
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v.31
no.4D
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pp.519-526
/
2011
In this study, the characteristics of transfer station are analyzed using the data of public transportation. The traffic card of Daegu does not include boarding information. The boarding data are calculated using traffic card data and the BMS data. It is found that transfer has increased by the distance from CBD and the numbers of routes, and decresed by the waiting time. Oneway ANNOVA are carried out to find the optimal number of clusters. Three clusters are chosen in this study. The center of the first cluster shows 2.99, so it has a characteristic of CBD. The second is 6.73, the outskirts of town, and the third is 12.78, the outlying areas.
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