• Journal of the Economic Geographical Society of Korea
• /
• v.14 no.3
• /
• pp.241-262
• /
• 2011

The aim of this study is to examine the changes of institution, quantity and approach methods of research results in the history of Korean economic geography during the last fifty-five years (1956-2010) and to offer the preparations for the future research. The history Korean economic geography can be divided into four periods: 'period of cradle' (1956-1962), 'period of establishment' (1963-later 1970s)', 'period of leap (the former half of 1980s-the former half of 1990s)', and 'period of transition (since later 1990s)'. Many departments of geography education and geography have been founded in the 'period of establishment' and 'period of leap'. Among the total research matters (1,621), 44.4 percent of research results have been made in 2000s and the most researched field was that of manufacturing geography, which occupied 27.7 percent. In the approach methods, about two-thirds of the results are the empirical inductive approach and the research frameworks method which clarified the regional structures and theory of spatial system occupied each about 40 percent. In the future, each research field of Korean economic geography is expected to take more serious view of nature environment, thorough regional survey, and preference of economy-society-culture-knowledge in the research framework of spatial network theory.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.14 no.8
• /
• pp.3488-3500
• /
• 2020

At the present time, the economy continues to flourish, and private cars have become the means of choice for most people. Therefore, the license plate recognition technology has become an indispensable part of intelligent transportation, with research and application value. In recent years, the convolution neural network for image classification is an application of deep learning on image processing. This paper proposes a strategy to improve the YOLO model by studying the deep learning convolutional neural network (CNN) and related target detection methods, and combines the OpenCV and TensorFlow frameworks to achieve efficient recognition of license plate characters. The experimental results show that target detection method based on YOLO is beneficial to shorten the training process and achieve a good level of accuracy.

• International Journal of Advanced Culture Technology
• /
• v.11 no.2
• /
• pp.238-248
• /
• 2023

This study aims to examine the symbolism of the emblems of World Expositions by using Victor Turner's symbolic theory as a research method, and to reveal the symbolic types behind them by classifying the emblem designs of different periods and themes. The research object is 12 comprehensive World's Fair emblems from the 1939 New York World's Fair in the United States to the 2025 Osaka World's Fair in Japan, as identified by Bureau International des Expositions. The research method mainly adopts documentary research to collect historical information and theoretical frameworks related to the design of World's Fair emblems. In the analysis process, Victor Turner's symbolic sign theory is used as the main analytical framework to link the design elements of emblems to their relevance to specific societies and cultures in order to reveal the themes, values and ideas represented by the emblem symbolism. The results of the study show that the design of the Expo emblem uses different symbols, including material symbols, behavioral symbols, sensory symbols, natural symbols, social symbols and virtual symbols, to convey the core concepts, themes and values of the Expo. Through different types of symbols, the Expo emblem shows a wide range of concerns about technology and the future, mankind and the world, nature and ecology, and society and innovation. The symbolic design of the emblem plays an important role in conveying the core concept and theme of the Expo.

• Smart Structures and Systems
• /
• v.30 no.2
• /
• pp.145-157
• /
• 2022

The design of safe and economical structures depends on the reliable live load from load survey. Live load surveys are traditionally conducted by randomly selecting rooms and weighing each item on-site, a method that has problems of low efficiency, high cost, and long cycle time. This paper proposes a deep learning-based method combined with Internet big data to perform live load surveys. The proposed survey method utilizes multi-source heterogeneous data, such as images, voice, and product identification, to obtain the live load without weighing each item through object detection, web crawler, and speech recognition. The indoor objects and face detection models are first developed based on fine-tuning the YOLOv3 algorithm to detect target objects and obtain the number of people in a room, respectively. Each detection model is evaluated using the independent testing set. Then web crawler frameworks with keyword and image retrieval are established to extract the weight information of detected objects from Internet big data. The live load in a room is derived by combining the weight and number of items and people. To verify the feasibility of the proposed survey method, a live load survey is carried out for a meeting room. The results show that, compared with the traditional method of sampling and weighing, the proposed method could perform efficient and convenient live load surveys and represents a new load research paradigm.

• Asian Oncology Nursing
• /
• v.8 no.1
• /
• pp.61-66
• /
• 2008

Purpose: Purpose of study was to analyze the research articles in the Journal of Korean Oncology Nursing in order to provide an direction for the future research, Methods: This study analyzed 93 studies published in the Journal of Korean Oncology Nursing, from its beginning year to the year 2007, according to the research objectives. The frame of evaluation included years and types of publication, the theoretical frameworks, research design, subject, data collection method, keyword analysis by MeSH. Results: 45.2% of studies was non-degree based studies. 95.7% of studies was not described theoretical framework in the articles. 71.0% was utilized a non-experimental design. 57% of subjects in researches was patients. 76.3% of studies were used the questionnaire for data collection. Concepts as human, nursing, and health were consistently appeared in research. But concepts of environment has been insufficiently conducted. Conclusion: Researches in the Journal of Korean Oncology Nursing has been changed in methodology and the topics of research for the last 7 yr. It progresses in both quantity and quality. But, it is necessary to conduct research founded on theoretical background, various research design, variability of study subjects and topics as supported by scientifically and empirically.

• ETRI Journal
• /
• v.45 no.5
• /
• pp.822-835
• /
• 2023

Recent semantic segmentation frameworks usually combine low-level and high-level context information to achieve improved performance. In addition, postlevel context information is also considered. In this study, we present a Context ReFinement Network (CRFNet) and its training method to improve the semantic predictions of segmentation models of the encoder-decoder structure. Our study is based on postprocessing, which directly considers the relationship between spatially neighboring pixels of a label map, such as Markov and conditional random fields. CRFNet comprises two modules: a refiner and a combiner that, respectively, refine the context information from the output features of the conventional semantic segmentation network model and combine the refined features with the intermediate features from the decoding process of the segmentation model to produce the final output. To train CRFNet to refine the semantic predictions more accurately, we proposed a sequential training scheme. Using various backbone networks (ENet, ERFNet, and HyperSeg), we extensively evaluated our model on three large-scale, real-world datasets to demonstrate the effectiveness of our approach.

• The Journal of Asian Finance, Economics and Business
• /
• v.8 no.4
• /
• pp.1003-1012
• /
• 2021

This study aims to identify the relationship between human resource management practices, work engagement, and proactive behavior of health workers in Gia Lai Province in Vietnam. Based on theoretical frameworks of human resource management, work engagement, and proactive behavior, this study developed a research model and tested its relationship between human resource management practices, work engagement, and the proactive behavior of healthcare workers in Gia Lai Province. This research has used a mixed research method with qualitative and quantitative research. The quantitative research was conducted by survey with 232 health workers. The hypotheses were tested by using structural equation modeling (SEM). The findings showed that human resource management practices have a positive and significant influence on proactive behavior, which directly influences healthcare workers' work engagement. Besides, work engagement plays a role in mediating the influence of human resource management practices on proactive behavior. This research implies that health care organizations should pay more attention to human resource management practices to improve work engagement that assists in increasing employee proactive behavior. Efficient human resource management practices help boost work engagement and, initiality, improve the quality of health care services and minimize errors in treatments.

• Journal of Digital Convergence
• /
• v.6 no.3
• /
• pp.45-52
• /
• 2008

For the domestic digital contents, it is particularly important that the planning and mediating functions should cover the whole Industries so that dividends and assistance to reach all the way back to the primary contents-creating level, where economic risks are especially high. A proactive cooperation system or framework between the government, the businesses and research institutions, which would allow for free flow of interaction among these players, can play that role. We can broadly define cooperation frameworks into two; one between the central and the local governments and another among private-sector groups, such as companies, associations and groups. These players in the framework have differing, sometimes, conflicting views regarding the digital contents industry whether the digital contents should aim for skilled applicability or the abstract or whether the emphasis should rest on public interest or profitability. Immature competition and lack of trust among these players also give rise to such inefficiencies as overlap in investments, inexpertness and inefficient use of resources. We have proposed and realized the National Integrated Cooperation System to bridge these gaps among the major players in the industry. The National Integrated Cooperation System rests on the following major functions. The first major function of the NICS is to decipher any ambiguity that may be embedded in external Inputs by stratified role and bias. The second function is to create cooperative groups that will deal with the ambiguities based on its consequent situation. The third is a feedback function that will draw out a new cooperative way by re-feeding the capacities and the conflicts that stem from the existing organizations and strategies into cooperation and adjustment process. Our NICS has compared and evaluated with England and Australia digital content industry models under AHP(Analytic Hierarchy Process) method. NICS has turned out to be well designed and have strong points based on OECD innovation and cooperation criteria.

• Journal of the Korean earth science society
• /
• v.28 no.7
• /
• pp.775-788
• /
• 2007

This study was aimed to understand the structures of preservice secondary school teachers' alternative conceptions on radioactive isotopes in the interior of earth. The structure of their conceptions were analyzed by the suggestions of Niaz (1988) based on the Lakatosian frameworks. The survey was carried out on a group of seventeen students who were major in science education. The research method was open-ended written questionnaire. The results of this study show that students had apparent alternative conceptions. The high temperature and pressure' explanation for radioactive decay in earth's interior had most import effects on their alternative conceptions. It was also intended to survey their conceptional change by our teaching strategies of the philosophy of science in order to construct science concepts.

• Korean Journal of Adult Nursing
• /
• v.12 no.3
• /
• pp.356-368
• /
• 2000

The purposes of this study were 1) to identify determinants of exercise behavior 2) to determine theoretical frameworks that were used in other research 3) to investigate the limitations of exercise research. seventy six research papers, published between 1984-1999, were selected by searching Medline for this study. Research subjects, determinants of exercise behavior, exercise measurement, the design of studies, statistical method and theoretical background were examined. The results are as follows. 1. On the research subjects, most research papers studied healthy adults. 2. Thirteen variables were identified that were used more than 5 times in various researches were self efficacy, barrier, social support, benefit, physiological characteristics, habit, personality, intention, health status, motivation, subjective norm, attitude, and affect. The most frequently supported determinant was self efficacy, the second one was social support, the third was affect and so on. But few research papers found any significant relationship between subject norms or attitude and exercise. 3. On exercise measurement, only 22.4% of research papers considered intensity, duration, frequency as elements of exercise, and 64.5% of researches were assessed by self-reported questionnaires. 4. In research design, 80.3% of research papers were survey type research. The most frequently used statistcal method was Regression. 5. 44.8% of research papers were done without any theoretical basis. Based on the above findings the following suggestions are made : 1. Research which includes diverse populations with different levels of health status needs to be studied. 2. Determinants of exercise may be dynamic and varing in their influence, therefore, stages of exercise behavior and processes of change need to be studied. 3. In research design, more prospective, longitudinal studies are needed to identify determinants of exercise habits. 4. It is necessary to develop a reliable, valid exercise measurement tool. 5. Studies are needed to develop a theoretical framework for exercise behavior.