• Journal of Nutrition and Health
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• v.43 no.2
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• pp.189-196
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• 2010

Malnutrition has been associated with higher hospital costs, mortality, rates of complications and longer length of hospital stay. Several nutritional screening tools have been developed to identify patients with malnutrition risk. However, many of those require much time and labor to administer and may not be applicable to a Korean population. Therefore, the aim of this study was to develop nutritional screening tool for Korean inpatients. Then we compare nutritional screening tools that developed and previously described. Seven hundred sixty-four patients at hospital admission were screened nutritional status and classified as well nourished, malnutrition stage 1 or stage 2 by the KNNRS (Kyunghee Neo Nutrition Risk Screening), PG-SGA (Patient-Generated Subjective Global Assessment) and NRS-2002 (Nutritional Risk Screening-2002). The KNNRS, PG-SGA and NRS-2002 respectively classified 28.7%, 51.3%, 48.5% of patients as malnourished status. Compared to the PG-SGA, the KNNRS had sensitivity 60.7% (95% CI 54.2-67.0) and specificity 81.2% (95% CI 75.3-85.2). Agreement was fair between KNNRS and PG-SGA (k = 0.34). Compared to the NRS-2002, the KNNRS had sensitivity 57.8% (95% CI 53.4-60.9) and specificity 64.4% (95% CI 60.2-69.8). Agreement was poor between KNNRS and NRS-2002 (k = 0.18). These result should include that the KNNRS and PGSGA have clinical relevance and fair concordance. However the rate of malnourished patients by KNNRS were less than by PG-SGA. For more effectivity of nutritional screening and management, the criteria of KNNRS would be better revised.

• 전기의세계
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• v.36 no.11
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• pp.796-804
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• 1987

본고에서는 가설검정관련의 표본추출에 관한 기초이론을 체계적으로 정리하고 가설검정기법에 의한 불량정보검출법의 원리를 소개하였다.

• Smart Media Journal
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• v.6 no.4
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• pp.58-64
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• 2017

Modern society is characterized by rapid increase in world population, aging of the rural population, decrease of cultivation area due to industrialization. The food problem is becoming an important issue with the farmers and becomes rural. Recently, the researches about the field of the smart farm are actively carried out to increase the profit of the rural area. The existing smart farm researches mainly monitor the cultivation environment of the crops in the greenhouse, another way like in the case of poor quality t is being studied that the system to control cultivation environmental factors is automatically activated to keep the cultivation environment of crops in optimum conditions. The researches focus on the crops cultivated indoors, and there are not many studies applied to the cultivation environment of crops grown outside. In this paper, we propose a method to improve the harvestability of poor areas by monitoring the areas with bad harvests by using big data analysis, by precisely predicting the harvest timing of fruit trees growing in orchards. Factors besides for harvesting include fruit color information and fruit weight information We suggest that a harvest correlation factor data collected in real time. It is analyzed using the Apache Spark engine. The Apache Spark engine has excellent performance in real-time data analysis as well as high capacity batch data analysis. User device receiving service supports PC user and smartphone users. A sensing data receiving device purpose Arduino, because it requires only simple processing to receive a sensed data and transmit it to the server. It regulates a harvest time of fruit which produces a good quality fruit, it is needful to determine a poor harvest area or concentrate a bad area. In this paper, we also present an architectural model to determine the bad areas of fruit harvest using strong data analysis.

• Korean Journal of Medicinal Crop Science
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• v.5 no.3
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• pp.237-242
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• 1997

The experiment was conducted to find causes of rooting failure in divided crown of peony cultivation. The results were as follows : In farmer s fields, damage rate of rooting failure in divided crown of peony was 32% as non-sprouting 5.6%, withering after sprouting 20.7%, and wilting after sprouting 5.7%, repectively. Damage degree in farmer s fields was followed, above 70% by 4%, 41 to 70% by 17%, 11 to 40% by 45% per total field area, respectively. It was caused by rooting failure. Damage rate of rooting failure as affected by different planting time was 18.2% for planting in autumn, 42.9% for planting in spring, and damage in divided crown was higher than in seedling. As periods to planting were prolonged, growth and yield were larger poorly, treatment with seminal-root sterilization and soil insecticide showed good growth and rooting but untreated control was very poor. Main cause of rooting failure in divided crown of peony was disease, Cylindrocarpon sp. and low quality of seeds.

• Journal of the Institute of Convergence Signal Processing
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• v.8 no.4
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• pp.237-243
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• 2007

In this paper, we propose the Real-time Dead-Pixel Detection and Compensation System for mobile camera and its hardware architecture. The CMOS image sensors as image input devices are becoming popular due to the demand for miniaturized, low-power and cost-effective imaging systems. However a conventional Dead-Pixel Detection Algorithm is disable to detect neighboring dead pixels and it degrades image quality by wrong detection and compensation. To detect dead pixels the proposed system is classifying dead pixels into Hot pixel and Cold pixel. Also, the proposed algorithm is processing line-detector and $5{\times}5$ window-detector consecutively. The line-detector and window-detector can search dead pixels by using one-dimensional(only horizontal) method in low frequency area and two-dimensional(vertical and diagonal) method in high frequency area, respectively. The experimental result shows that it can detect 99% of dead pixels. It was designed in Verilog hardware description language and total gate count is 23K using TSMC 0.25um ASIC library.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.53 no.4
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• pp.401-406
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• 2008

To select adoptable varieties in paddy soil with relatively high content of soil moisture, the growth characteristics and ginsenoside content of two-year-old ginseng was investigated in paddy soil with two types of drainage conditions such as poorly and imperfectly drained class, using 4 varieties, Cheonpoong (CP), Yeonpoong (YP), Hwangsookjong (HS) Jakyeongjong (JK). The ratio of survived plant in poor drainage conditions was higher than that in imperfect drainage conditions, and the ratio of discolored leaf in the former was lower than that in the latter. The ratio of survived plant was highest in HS, while lowest in YP. The ratio of discolored leaf was lowest in HS, while highest in YP among 4 varieties. Root weight per plant and yield were more distinctly decreased in poor drainage conditions than those in imperfect drainage conditions. Descending order of yield in poor drainage conditions was JK, CP, YP and HS, while CP, YP, JK and HS in imperfect drainage conditions. Varietal difference of rusty colored root was more distinct than that between poor and imperfect drainage conditions. The ratio of rusty colored root was relatively low in CP and JK, while high in YP and HS. Total ginsenoside content of two-year-old ginseng grown in poor drainage conditions was increased more than that in imperfect drainage conditions due to full growth of root. Regardless of different drainage conditions total ginsenoside content was highest in YP, while lowest in HS among 4 varieties, and there were no distinct difference between CP and JK.

• Korean Journal of Psychosomatic Medicine
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• v.24 no.1
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• pp.3-8
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• 2016

Functional dyspepsia is one of the most common bowel disorders as prevalent of 7.7% Korean population. The cardinal manifestations include bothersome postprandial fullness, early satiation, epigastric burning or pain. These features are chronic and should be presented recurrently with no other compatible organic disease to explain the symptoms. Even though it is not life-shortening, functional dyspepsia usually make the health-related quality of life worse especially if other functional bowel disorder coexist. The coexistence of functional bowel disorders is called as 'overlap syndrome'. Anxiety, somatization and insomnia is more prevalent in overlap syndrome compared with sole functional bowel disorder. Therefore, it is worthwhile that physician interviews and elucidates whether the dyspeptic patient had other kinds of functional bowel disorders, and manages the underlying psychotic pathology. Placebo effect is large in functional dyspepsia, and there is only four kinds of prokinetics that is proven to be superior to placebo. Adverse events relating prolonged administration of prokinetics sometimes fatal or irreversible, physician willing to describe prokinetics should be familiar to the possible adverse effects and the relating risk factors. Pathologic acid reflux is not uncommon in functional dyspepsia, and acid-suppressant is equivalent to the prokientics in most of dyspeptic patients.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.562-565
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• 2022

Recently, the increasing number of overloaded vehicles on the road poses a risk to traffic safety, such as falling objects, road damage, and chain collisions due to the abnormal weight distribution, and can cause great damage once an accident occurs. However, this irregular weight distribution is not possible to be recognized with the current weight measurement system for vehicles on roads. To address this limitation, we propose to build an object detection-based AI model to identify overloaded vehicles that cause such social problems. In addition, we present a simple yet effective method to construct an object detection model for the large-scale vehicle images. In particular, we utilize the large-scale of vehicle image sets provided by open AI-Hub, which include the overloaded vehicles from the CCTV, black box, and hand-held camera point of view. We inspected the specific features of sizes of vehicles and types of image sources, and pre-processed these images to train a deep learning-based object detection model. Finally, we demonstrated that the detection performance of the overloaded vehicle was improved by about 23% compared to the one using raw data. From the result, we believe that public big data can be utilized more efficiently and applied to the development of an object detection-based overloaded vehicle detection model.

• Journal of agricultural medicine and community health
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• v.25 no.1
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• pp.51-63
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• 2000

Ten Dongs were selected according to the systematic cluster sampling in Koryong Gun, and the survey was conducted on 571 women in the age between 30-69 years. The first survey was performed for 6 days between August 27 to September 1, 1999 with the investigation rate of 60.3%, and the second survey was performed in November with the investigation rate of 91.8%. The contents of survey included demographic characteristics, health behaviors, dyspepsia symptom score, sleeping induction time and the degree of sleep satisfaction, and degree of stress in the subjects. The dyspepsia symptom score was in the average 13.4 points out of a total 44 points and was the highest in the 50-59 year-old age group with 13.9 points. The sleep induction time was in the average of 35 minutes and was the highest in the 50-59 year-old age group with 40.9 minutes; the degree of sleep satisfaction was in the average of 7.9 points and was the lowest in the 50-59 year-old age group with 7.5 points. The stress score was in the average of 18.3 points and was highest in those subjects in their 40's and 50's with 18.7 points. When the correlation among the stress score, the degree of sleep satisfaction and dyspepsia symptom score was analyzed, the results showed that he stress score and the degree of sleep satisfaction showed a significant negative correlation and that the stress score and dyspepsia symptom score showed a significant positive correlation. Also, a significant negative correlation was found between the degree of sleep satisfaction and dyspepsia symptom score. According to each age group, a significant correlation was revealed among the stress score, dyspepsia symptom score and the degree of sleep satisfaction in those subjects over 40 years of age compared to those subjects who were younger than 40 years of age. As for educational level, the correlation among the stress score, the degree of sleep satisfaction and dyspepsia symptom score was higher in those subjects with less than middle school education compared to those subjects with more than high school education. When those factors that effects on the dyspepsia symptom score were analyzed with multiple regression, the results showed that the level of stress and chronic diseases were selected as significant variables. When those factors that affected on the degree of sleep satisfaction were analyzed, the sleep induction time and presence of chronic diseases and stress were selected as significant variables. Those women in their 50's who live in rural areas showed the highest level of stress, lowest the degree of sleep satisfaction, and highest level of dyspepsia, indicating that they need stress management. Also, since stress was showed to be a significant variable effecting on dyspepsia or the degree of sleep satisfaction, it is concluded that health promotion is possible through stress management. More studies are needed in the future on coping resources that would strengthen coping against stress, and by conducting studies on stress and related factors on community people, the measures of mental health promotion need to be developed.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.2
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• pp.485-490
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• 2010

We propose the equivalent circuit model including all parasitic components in input gate of sense amplifier of DDI DRAM with butting contact structure. We analysed the effect of parasitic schottky diode by using the proposed model in the operation of sense amplifier. The cause of single side fail and the temperature dependence of fail rate in DDI DRAM are due to creation of the parasitic schottky diode in input gate of sense amplifier. The parasitic schottky diode cause the voltage drop in input gate, and result in decreasing noise margin of sense amplifier. therefore single side fail rate increase.