• Journal of the Institute of Electronics Engineers of Korea SP
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• v.40 no.1
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• pp.72-78
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• 2003

A new self-organizing neuro-fuzzy network based rate control algorithm for MPEG-4 video encoder is proposed in this paper. Contrary to the traditional methods that construct the rate-distorion (RD) model based on experimental equations, the proposed method effectively exploits the non-stationary property of the video date with neuro-fuzzy network that self-organizes the RD model online and adaptively updates the structure. The method needs not require off-line pre-training; hence it is geared toward real-time coding. The comparative results through the experiments suggest that our proposed rate control scheme encodes the video sequences with less frame skip, providing good temporal quality and higher PSNR, compared to VM18.0.

• Preventive Nutrition and Food Science
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• v.19 no.2
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• pp.98-107
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• 2014

New in vitro anti-diabetes makgeolli was produced from rice by adding various quantities of Laminaria japonica, and the fermentation characteristics of the L. japonica makgeolli during the fermentation process were investigated. The contents of alcohol and reducing sugar, and viable count of yeast, of L. japonica makgeolli were not significantly changed when the proportion of L. japonica was increased. The total acid content decreased with an increase in L. japonica concentration; the pH and total bacterial cell count increased in proportion with the increase in L. japonica concentration. The L. japonica makgeolli contents of free sugars, such as fructose, glucose, and sucrose, and of organic acids, such as acetic acid, citric acid, succinic acid, and lactic acid, were altered during fermentation and showed various patterns. The effects of the quantity of L. japonica added on the acceptability and anti-diabetes activities of L. japonica makgeolli were also investigated. In a sensory evaluation, L. japonica makgeolli brewed by adding 2.5 or 5% L. japonica to the mash showed the best overall acceptability; the 12.5% L. japonica sample was least favored due to its seaweed flavor. L. japonica addition did not increase the peroxynitrite-scavenging activity of makgeolli. L. japonica makgeolli showed potent anti-diabetes activity, particularly that containing >7.5% L. japonica. Therefore, L. japonica makgeolli may represent a new functional makgeolli with anti-diabetes properties.

• Journal of Mushroom
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• v.1 no.1
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• pp.1-8
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• 2003

Mushroom cultivation in Korea was launched in the early 1960's. At that time Korean government started a program for increasing cultivation of button mushroom (Agaricus bisporus) and oak mushroom (Lentinula edodes) to export agricultural products and to increase farm income. National research institutes under Rural Development Administration, Korea Forest Service, etc. play a leading role in mushroom industry as follows : Development and spread of genetically superior commercial strains, good spawns, and cultivation techniques. Training and field advice to lead farmers for mass production of high quality mushrooms. Political support of facilities and establishments for mushroom cultivation. Several mushrooms including oak mushroom, button mushroom, oyster mushroom, winter mushroom, Ganoderma, P. eryngii, etc. have been popularized for their cultivation techniques and produced in large quantities in the farm. According to a recent statistics, mushrooms have been grown by about 20,000 farm households, in Korea and the gross production of fresh mushrooms is estimated about 170,000 M/T. The gross production of oyster mushroom is the highest followed by winter mushroom, oak mushroom and button mushroom. The gross amount of mushroom production stands over 700 billion won. Thus, mushroom industry goes to the most important cash crop to be produced yearly.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.7 no.3
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• pp.27-37
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• 2012

The purpose of this study is to review the effect of internal marketing on job satisfaction in food service industry. In order to verify and achieve the purposes mentioned above, questionnaire data are gathered and analysed from 438 employees and their superiors for measuring employees' service quality fromKangwon province. Multiple regression is applied to test the proposed 2 hypotheses: the relationship between internal marketing and intrinsic job satisfaction, and the relationship between internal marketing and extrinsic job satisfaction. Empirical survey's findings are as follows; First, management support, internal communication and employment security have positive relationships with intrinsic job satisfaction. Second, management support, training & education has positive effect on extrinsic job satisfaction and employment security have positive relationships with extrinsic job satisfaction.

• The Korean Journal of Community Living Science
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• v.15 no.2
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• pp.29-42
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• 2004

Women are unlikely to receive an equal education, compared to men, in rural Korean society despite the equality in labor sharing. To address this issue this research aims to (a) analyze the educational needs for farming skills and daily life management in rural communities, and (b) develop a model for educational programs reflecting regional characteristics for the female farmers in order to make them experts in agriculture. A structured questionnaire was administered, using a group interview method, to 366 female farmers from the Jeonnam, Chungbuk, and Gyeonggi provinces with help of agricultural agents. The major components of the questionnaire dealt with individual peculiarities, educational environment, and curriculum and training subjects wanted by the female farmers. Educational program content was classified as daily life management, scientific farming and agricultural management skills to create systematic and effective programs. It was found that the critical factors for developing educational programs for the female farmers are as follows: a. It is necessary to develop a program combining daily life management skills and farming skills to make the female farmers experts in agriculture. b. Statistically significant differences were found in the female farmers' educational program participation and needs based educational level, age, educational expenditure, farm type, farming experience, and farm scale. Therefore, it is necessary to develop a program considering the fore-mentioned socioeconomic status and farming characteristics. c. It is important to establish an educational system for the female farmer to improve their quality of life as a minority group in Korean society. In addition, it is also necessary to develop public relations program to ensure that female farmers recognize the importance and necessity of the education.

• The Korean Journal of Community Living Science
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• v.23 no.2
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• pp.103-116
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• 2012

The purpose of this study was to investigate the trend of academic journals of institutional foodservice published from 2005 to 2009. This study was conducted by content analysis. We collected 322 articles including the subject of institutional foodservice Industry published from January 1, 2005 to December 31, 2009. Classification based on content analysis was conducted based on research method, statistical analysis, survey area, institution and location, sample type and research subject. First, in case of the research method, primary field survey/monitoring showed the highest rate. In addition, statistical analysis was as follows. Frequency/descriptive analysis were used as the highest rate. Survey area was a high percentage in case of Seoul/Incheon/Gyeong-gi province. In case of the institution and location, school/university showed the highest rate. In the sample type, foodservice employee/dietitian/nutrition teacher showed the highest rate. In this study, the most important research subjects were classified study subjects into seven by taking advantage of the previous studies. The greatest numerical study in seven study subjects was 'service quality and customers'(28.9%), and the following subjects were 'foodservice operation'(26.4%), 'hygiene, security and microbiology' (15.8%), 'organization and human resource' (15.5%). But it is noteworthy that 'marketing and strategic management'(9.6%) and 'education and training'(3.1%) of lower research results in this study are also important fields in institutional foodservice industry. Moreover, the study of such subjects is considered more necessary in the future.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.6
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• pp.2480-2496
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• 2020

Considering that high-dose X-ray radiation during CT scans may bring potential risks to patients, in the medical imaging industry there has been increasing emphasis on low-dose CT. Due to complex statistical characteristics of noise found in low-dose CT images, many traditional methods are difficult to preserve structural details effectively while suppressing noise and artifacts. Inspired by the deep learning techniques, we propose a densely connected residual network (DCRN) for low-dose CT image noise cancelation, which combines the ideas of dense connection with residual learning. On one hand, dense connection maximizes information flow between layers in the network, which is beneficial to maintain structural details when denoising images. On the other hand, residual learning paired with batch normalization would allow for decreased training speed and better noise reduction performance in images. The experiments are performed on the 100 CT images selected from a public medical dataset-TCIA(The Cancer Imaging Archive). Compared with the other three competitive denoising algorithms, both subjective visual effect and objective evaluation indexes which include PSNR, RMSE, MAE and SSIM show that the proposed network can improve LDCT images quality more effectively while maintaining a low computational cost. In the objective evaluation indexes, the highest PSNR 33.67, RMSE 5.659, MAE 1.965 and SSIM 0.9434 are achieved by the proposed method. Especially for RMSE, compare with the best performing algorithm in the comparison algorithms, the proposed network increases it by 7 percentage points.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.17
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• pp.7501-7506
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• 2015

Background: Oncology nurses play a crucial role in cancer pain management and must be highly informed to ensure their effective practice in the cancer setting. The aim of this study was to determine the baseline level of knowledge and attitudes of oncology nurses regarding cancer pain management. Materials and Methods: A cross-sectional survey research design was employed. The sample comprised 58 cancer nurses working in Shahid Sadoughi hospital, Yazd, Iran. The "Nurses Knowledge and Attitudes Survey Regarding Pain" (NKAS) tool and a demographic form were utilized to ascertain the knowledge and attitudes of oncology nurses working in oncology settings. Results: The average correct response rate for oncology nurses was 66.6%, ranging from 12.1% to 94.8%. The nurses mean score on the knowledge and attitudes survey regarding pain management was 28.5%. Results revealed that the mean percentage score overall was 65.7%. Only 8.6% of nurse participants obtained a passing score of 75% or greater. Widespread knowledge deficits and poor attitudes were noted in this study, particularly regard pharmacological management of pain. Conclusions: The present study provides important information about knowledge deficits in pain management among oncology nurses and limited training regarding pain management. Our results support the universal concern of inadequate knowledge and attitudes of nurses regarding cancer pain. It is suggested educational and quality improvement initiatives in pain management could enhance nurses knowledge in the area of pain and possibly improve practice.

• Health Policy and Management
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• v.17 no.2
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• pp.68-90
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• 2007

Nurse staffing level is an important factor that influences the quality of health service and patient outcomes. This study was carried out to examine the current state of acute hospital nurse staffing and find out factors that affect the nurse staffing level. Nurse staffing of individual hospitals was measured using the number of registered nurses per 100 beds. Descriptive and multiple regression analyses were conducted using 592 acute care hospitals' data. Regression model included structure factors such as referral level, ownership, medical and general staffing, and financial outcome factors such as occupancy rate, inpatient and outpatient revenues. Market characteristics included strength of competition, supply of nurses, and income and health status level of consumers. The average number of nurses per 100 beds was 28 and showed a great variation according to the referral level. Regression model explained this variation as much as 76.87%. Hospital structure variables which affecting the hospital nurse staffing level positively were ICU bed ratio, the staffing level of specialist, training doctor and employees except doctor and nursing personnel, while the negative factor was nurse aid staffing level. General hospitals employed more nurses than hospitals. Among outcome characteristics, occupancy rate and the amount of health insurance inpatient revenue affected positively on the hospital nurse staffing level. The more supply of the new nurse and the higher consumer income and health status in the medical service markets, the more nurses were employed by the medical institutes. According to the study result, hospitals employed more nurses when they had more financial incentive by increasing nurses. This means appropriate hospital incentive policy and regulation policy, which hospital violate nurse staffing level have to pay penality, should be needed. Clarifying job description between nurses and nurse aids and the reentry program for unemployed experienced nurses will be helpful to increase nurse staffing level.

• Tunnel and Underground Space
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• v.16 no.2 s.61
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• pp.135-145
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• 2006

In this study, conditional simulation was conducted to estimate rock mass rating(RMR) in unsurveyed regions. Sequential Gaussian simulation(SGS) and sequential indicator simulation(SIS) were applied for estimating RMR from the bore hole logging data. The uncertainty of SGS and SIS was verified by sample cross validation. A subset composed of 5 bore hole logging data among the original 30 bore hole logging data was set aside as test data. The remainder was training data. The quality of SGS and SIS estimation on the testing data reflects how well it would perform in an unsupervised setting. SGS and SIS were useful stochastic methods to estimate the spatial distribution of rock mass classes correctly and assess the uncertainty of estimation quantitatively. The result of conditional simulation can offer useful information of rock mass classes such as RMR in unsurveyed regions.