• Journal of Information Management
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• v.37 no.3
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• pp.99-115
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• 2006

The purpose of this study is to build new management strategy of special libraries in the field of science and technologies. Though information service of digital libraries were developed very much due to IT technologies, management condition of special libraries is getting more worse. Immediate cause of this problem is absence of management strategies which were veiled by IT panacea. In order to overcome this problem, this study looks into the internal and external environment change which are surrounded by special libraries. And also examined procedures and method of environment analysis which is needed to build management strategies. As the result of research, this study analyze internal and external environment by SWOT analysis method, and finally propose new management strategies.

• Horticultural Science & Technology
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• v.34 no.4
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• pp.513-527
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• 2016

The objective of the present study was to review the current research about the outcomes of horticultural activity interventions in order to determine research trends and analyze the characteristics of horticultural activity interventions. We reviewed the literature using search engines such as the Web of Science, Proquest Dissertation and Theses, Academic Search Premier, Research Information sharing Service, and Korean National Assembly Digital Library to locate journal articles that include relevant search terms (e.g., gardening activity, gardening program, allotment garden, urban agriculture, horticultural therapy, and horticultural activity). We initially identified 14,414 journal articles that were published before April 2014 and selected 509 of the papers for review. We found that studies investigating treating children and adults 8 to 64 years old were the most common, and horticultural activities such as gardening outdoors, planting indoors, making crafts with live plants, arranging flowers, making crafts with artificial or pressed flowers, and other activities were usually combined. Short/medium term (11 to 20 sessions) horticultural activity programs were the most frequent, and most interventions were of medium duration (> 60 min to 120 min). Most of the studies focused on the psychological or emotional effects of horticultural intervention, such as its effects on emotional intelligence, self-esteem, stress, and depression. Further studies are needed to analyze the research methodology, specific outcomes, and strengths or weaknesses of studies investigating horticultural activity interventions.

• Journal of Korean Academy of Nursing
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• v.44 no.5
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• pp.459-470
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• 2014

Purpose: The purpose of this study was to evaluate the quality of meta-analysis regarding exercise using Assessment of Multiple Systematic Reviews (AMSTAR) as well as to compare effect size according to outcomes. Methods: Electronic databases including the Korean Studies Information Service System (KISS), the National Assembly Library and the DBpia, HAKJISAand RISS4U for the dates 1990 to January 2014 were searched for 'meta-analysis' and 'exercise' in the fields of medical, nursing, physical therapy and physical exercise in Korea. AMSTAR was scored for quality assessment of the 33 articles included in the study. Data were analyzed using descriptive statistics, t-test, ANOVA and ${\chi}^2$-test. Results: The mean score for AMSTAR evaluations was 4.18 (SD=1.78) and about 67% were classified at the low-quality level and 30% at the moderate-quality level. The scores of quality were statistically different by field of research, number of participants, number of databases, financial support and approval by IRB. The effect size that presented in individual studies were different by type of exercise in the applied intervention. Conclusion: This critical appraisal of meta-analysis published in various field that focused on exercise indicates that a guideline such as the PRISMA checklist should be strongly recommended for optimum reporting of meta-analysis across research fields.

• Journal of Information Management
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• v.43 no.3
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• pp.117-137
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• 2012

This study examines the status of Korean E-government implementation and explores the ways to contribute to governance improvement by means of the e-government. As far as the level of implementation of e-government, Korea is confirmed to have achieved upper level by global standards, but it is found that continuous efforts of improvement is still required in the area of integrative management, which is considered as a final phase of e-government development. In order to evaluate how much e-government of Korea has contributed to the improvement of governance, I tried to measure the usability of e-government from the perspective of providers and that of consumers, and also, a qualitative evaluation on the provision and usage of functions related to the governance was also adopted. It is concluded that, while Korean e-government has reached a remarkable stage in the quantitative perspectives, there are still a room for improvement from the qualitative perspective, such as its role as a means of governance improvement. Also, based on the above evaluations and consequent findings, I suggest guidelines for the improvement of governance through the development of e-government.

• Journal of Information Management
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• v.42 no.1
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• pp.221-244
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• 2011

Many records and documents are produced during the process of functions of local councils such as resolution, monitoring and balancing function, representation for the residents, Such records of local councils have importance in terms of objective basis and standards for local policy building and making. The most essential records among these are those of local councils assembly. The fundamental function of local councils is the assembly of individual members of the council and standing committees. For this, the author firstly reviewed the current management system of local council assembly records focusing on Daejeon Yuseonggu Council and conducted researches and interviews with the officers responsible for record keeping. And finally, the author analyzed such researches and findings. From this analysis, the author discovered the problems in the management of record keeping and suggested the improvement for the systematic management firstly in terms of institutional aspects and secondly in terms of the stages of record keeping and management based on ISO 15489, the international standard for information and documentation, records management.

• Journal of Information Management
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• v.40 no.3
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• pp.151-176
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• 2009

The purpose of this study is to propose effective management plan for official seal guaranteeing authenticity of archival records. For this, this paper attempts to investigate current management conditions of central governments and National Archives. First, disclosure of information on official seal register in central government was requested. In addition, surveys and interviews with person in charge were carried out. Additionally, official seal lists of National Archives were analyzed and the person in charge was interviewed. Based on these, this paper proposed management plans of official seal such as a periodic inspection of management conditions, training programs for the person in charge, selective acquisition, reporting of the current state, improvement of law system, improvement of document formats, and establishment of an electronic seal management system, etc.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.37 no.12
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• pp.1445-1452
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• 2013

In this paper, we propose a real-time algorithm for estimating the relative position of a person with respect to a robot (camera) using a monocular camera. The algorithm detects the head and shoulder regions of a person using HOG (Histogram of Oriented Gradient) feature vectors and an SVM (Support Vector Machine) classifier. The size and location of the detected area are used for calculating the relative distance and angle between the person and the camera on a robot. To increase the speed of the algorithm, we use a GPU and NVIDIA's CUDA library; the resulting algorithm speed is ~ 15 Hz. The accuracy of the algorithm is compared with the output of a SICK laser scanner.

• Korean Journal of Agricultural Science
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• v.46 no.1
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• pp.67-78
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• 2019

The purpose of this study was to predict the water quality using the RNN (recurrent neutral network) and LSTM (long short-term memory). These are advanced forms of machine learning algorithms that are better suited for time series learning compared to artificial neural networks; however, they have not been investigated before for water quality prediction. Three water quality indexes, the BOD (biochemical oxygen demand), COD (chemical oxygen demand), and SS (suspended solids) are predicted by the RNN and LSTM. TensorFlow, an open source library developed by Google, was used to implement the machine learning algorithm. The Okcheon observation point in the Geum River basin in the Republic of Korea was selected as the target point for the prediction of the water quality. Ten years of daily observed meteorological (daily temperature and daily wind speed) and hydrological (water level and flow discharge) data were used as the inputs, and irregularly observed water quality (BOD, COD, and SS) data were used as the learning materials. The irregularly observed water quality data were converted into daily data with the linear interpolation method. The water quality after one day was predicted by the machine learning algorithm, and it was found that a water quality prediction is possible with high accuracy compared to existing physical modeling results in the prediction of the BOD, COD, and SS, which are very non-linear. The sequence length and iteration were changed to compare the performances of the algorithms.

• Korean Journal of Agricultural Science
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• v.47 no.4
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• pp.1029-1037
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• 2020

The machine learning algorithm has been widely used in water-related fields such as water resources, water management, hydrology, atmospheric science, water quality, water level prediction, weather forecasting, water discharge prediction, water quality forecasting, etc. However, water quality prediction studies based on the machine learning algorithm are limited compared to other water-related applications because of the limited water quality data. Most of the previous water quality prediction studies have predicted monthly water quality, which is useful information but not enough from a practical aspect. In this study, we predicted the dissolved oxygen (DO) using recurrent neural network with long short-term memory model recurrent neural network long-short term memory (RNN-LSTM) algorithms with hourly- and daily-datasets. Bugok Bridge in Oncheoncheon, located in Busan, where the data was collected in real time, was selected as the target for the DO prediction. The 10-month (temperature, wind speed, and relative humidity) data were used as time prediction inputs, and the 5-year (temperature, wind speed, relative humidity, and rainfall) data were used as the daily forecast inputs. Missing data were filled by linear interpolation. The prediction model was coded based on TensorFlow, an open-source library developed by Google. The performance of the RNN-LSTM algorithm for the hourly- or daily-based water quality prediction was tested and analyzed. Research results showed that the hourly data for the water quality is useful for machine learning, and the RNN-LSTM algorithm has potential to be used for hourly- or daily-based water quality forecasting.

• Journal of Korean Academy of Nursing
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• v.51 no.4
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• pp.414-429
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• 2021

Purpose: This systematic review and meta-analysis analyzed the effects of 2% chlorhexidine bathing on the incidence of hospital-acquired infection (HAI) and multidrug-resistant organisms (MDRO) in adult intensive care units. Methods: PubMed, CINAHL, Cochrane library, and RISS database were systematically searched, and 12 randomized studies were included in the analysis. Comprehensive Meta-Analysis version 3.0 was used to calculate the effect size using the odds ratio (OR) and a 95% confidence interval (CI). Subgroup analysis was performed according to the specific infection and intervention types. Results: In general, 2% chlorhexidine bathing has a significant effect on the incidence of HAI (OR, 0.59; 95% CI, 0.40~0.86) and MDRO (OR, 0.52; 95% CI, 0.34~0.79). Subgroup analyses show 2% chlorhexidine bathing is effective in bloodstream infections (OR, 0.51; 95% CI, 0.39~0.66) but not for urinary tract infections, ventilator-associated pneumonia infections, and Clostridium difficile infections. Moreover, 2% chlorhexidine bathing alone or its combination with other interventions has a significant effect on the incidence of HAI and MDRO (OR, 0.59; 95% CI, 0.38~0.92). Conclusion: This meta-analysis reveals that 2% chlorhexidine bathing significantly reduces the incidence of HAI and MDRO in intensive care units. The effect of 2% chlorhexidine bathing on pediatric patients or patients at general wards should be further assessed as a cost-effective intervention for infection control.