• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.12
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• pp.5165-5176
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• 2010

This study is an attempt to seek ways to revitalize the main streets in local city with regard to urban regeneration. It focuses on the case of Myeong-dong Fashion Street located in front of Cheonan Station, which recently lost its vitality. In order to explore causes of the decline and solutions for restore, this paper investigate the concerned urban area by approaching through three different aspects: physical and environmental aspects, social and economic aspects, historic and cultural aspects. In addition, the street visitors were surveyed on their visiting patterns, priorities and discontents about the components of street, and preferences for its restoring, etc. The investigation resulted in following findings and proposals. In physical and environmental dimension, it is needed to create legal incentives for encouraging local residents to develop their own district, and suggested to plan green space for relaxation and cultural arts space by using existing buildings, along with the expansion of public parking. In regard of social economic aspects, it is proposed to give each street specialized commercial theme. At the historic and cultural level, it is suggested to plan the pedestrian network which links the Fashion Street with surrounding historic elements.

• The Journal of Fisheries Business Administration
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• v.39 no.1
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• pp.87-114
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• 2008

The cultured tuna production which has suddenly expanded at the short time and the demand for it attract attention. Farming mode, distribution transactions, change of the market (domestic and international) and the price trend are reviewed from the Japan's position which is the biggest consuming country. This paper tries to describe the current status of the food system related to the cultured tuna. Japanese government began the development of the tuna culture technology in 1970. It was by the Fisheries Agency's project. Kinki University which is the large scale private university in Japan participated in the project. After that, 32 years have passed. Kinki University established the full farming of the bluefin tuna in August, 2002. On the other hand, in 1974, one Japanese private enterprise began its tuna farming business in Canada. Kinki University gave this company technical cooperation. Also, in the early stages of the 90s, as for the policy of the overseas fishery cooperation foundation, it supported the tuna farming business in Australia. It is very clear to understand that the long-term technological-development has supported the take-off scene of the tuna culture business not only in foreign countries but also in Japan. The total shipment scale of the cultured tuna expanded very much within about 10 recent years. However, the decrease of the wild tuna catch, the reinforcement of the fisheries regulation and the tuna body to dwarf are remarkable now. Under the condition as the mentioned above, Japan's tuna consumption, especially, in the market at the fatty meat of tuna of the cultured tuna is building up firm status. At present, the Mediterranean Sea coastal countries, Australia, Mexico and Japan have the tuna farming sites. Australia farms the southern bluefin tuna. The others do the bluefin tuna. About for 3 years, Japan farms the juvenile of the tuna. The global production areas are as follows. 8 coastal countries of the Mediterranean Sea; 18,000 tons (61 % of the cultured tuna quantity in foreign countries), Mexico; 4,500 ton (15%), Australia; 7,000 tons (24%). In 2003, Japan has 32 managements and 39 offices for tuna farming. In Japan, Kyushu and Okinawa district, the share shows itself as 80 % of the domestic production quantity. Especially, the share of Amami-oshima Island in Kagoshima Prefecture exceeds 60 %. Therefore, this island has the maximum production scale of Japan. The amount of supply of BT and SBT was 56,000 tons in 2004. In Abroad, the tuna farming business forms a fixed connection between the importer and the wholesaler which have their office in Japan. In the field of the capital composition, the payment in advance, transaction and the way of settlement, each maintains their fixed relation. The market conditions of the cultured tuna are supported by "the decline of price level" and "the expansion of the general public consumption segment". These lead a team merchandising, and it is supported by the fixed business connection of each. This makes the profit of each business which are on the cultured tuna distribution. However, they have competition on the power balance among them.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.1
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• pp.418-428
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• 2015

This study conducted influencing and mediated effect on stroke to lead correct health behavior of stroke patients and tried to provide preliminary data of stroke prevention. It used stage 4 and 5 data of a national health and nutrition examination survey, analysis method was frequency analysis, Chi-square test, multiple logistic regression and structural equation modeling. In case of male, factors affecting to stroke were age, job, self-related health, alcohol, hypertention and diabetes. In case of female, age, job, self-related health, stress level and hypertention affected to stroke. In tested results on whether or not mediated effect of preceding disease exists, 5.80 difference in ${\chi}^2$ between partial mediated modeling and full mediated modeling was statistically significant(p<0.01). Therefore, partial mediated modeling was adequate to this study. We need preventive health education for changing wrong health behaviors and policy that strengthens health care network. If someone has preceding disease, they need long-term diagnosis for health condition and continuous improvement in life style.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.11
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• pp.746-754
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• 2016

Smart healthcare systems, a convergent industry based on information and communications technologies (ICT), has emerged from personal health management to remote medical treatment as a distinguished industry. The smart healthcare environment provides technology to deliver vital information, such as pulse rate, body temperature, health status, and so on, from wearable devices to the hospital network where the physician is located. However, since it deals with the patient's personal medical information, there is a security issue for personal information management, and the system may be vulnerable to cyber-attacks in wireless networks. Therefore, this study focuses on a key-development and device-management system to generate keys in the smart environment to safely manage devices. The protocol is designed to provide safe communications with the generated key and to manage the devices, as well as the generated key. The security level is analyzed against attack methods that may occur in a healthcare environment, and it was compared with existing key methods and coding capabilities. In the performance evaluation, we analyze the security against attacks occurring in a smart healthcare environment, and the security and efficiency of the existing key encryption method, and we confirmed an improvement of about 15%, compared to the existing cipher systems.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.11
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• pp.271-284
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• 2016

This study was carried out to evaluate the efficacy of CBT for perinatal depression through systematic literature review and meta-analysis. The following databases were used to search the literature: CINAHL, PubMed, EMBASE, Koreamed, Library of Korean Congress, KISS, and Korean Academic Publication Database. Keywords included 'perinatal depression,' 'pregnant women,' and 'cognitive behavioral therapy,' and the evaluated articles were published up to May 2016. Using the R program, the effect size of perinatal depression and anxiety were calculated by random-effects model. The heterogeneity of the effect size was analyzed by data moderator analysis using the meta-ANOVA. Furthermore, the funnel plot, Egger's regression test, fail-safe N, trim-and-fill test, and publication bias analysis were conducted and used to verify the results. Out of the 180 selected articles, 16 clinical trial studies were meta-analyzed. Each articles were evaluated for the risk of bias by the checklist of SIGN; the overall risk of bias was low. The effect size of CBT for perinatal depression was Hedges' g=-0.55 (95% CI: -0.76~-0.33), which was a moderate level, while for anxiety reduction, Hedges' g=-0.20 (95% CI: -0.48~-0.08) and it was not statistically significant. Heterogeneity or risk of publication bias were low. This meta-analytic study found that CBT is moderately effective in reducing perinatal depression in pregnant women.

• Convergence Security Journal
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• v.19 no.4
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• pp.23-34
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• 2019

This study utilized big data, one of the new technologies of the Fourth Industrial Revolution as a policy direction study related to the military security of the Army. By utilizing Text mining and analyzing military security trends in domestic and foreign papers, it will be able to set policy directions and reduce trial and error. In this study, we found differences in domestic and international studies on military sucurity. At first, Domestic research has shown that in the course of the fourth industrial revolution, there is a strong interest in technological security, such as IT technology in security and cyber security in North Korea. On the other hand, Foreign research confirmed that policies are being studied in such a way that military sucurity is needed at the level of cooperation between countries and that it can contribute to world peace. Various academic policy studies have been underway in terms of determining world peace and security levels, not just security levels. It contrasted in our immediate confrontation with North Korea for decades but suggest complementary measures that cannot be overlooked from a grand perspective. Conclusionally, the direction of academic research in domestic and foreign should be done in macro perspective under national network cooperation, not just technology sucurity research, recognizing that military security is a policy product that should be studied in a security system between countries.

• Journal of the Economic Geographical Society of Korea
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• v.3 no.2
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• pp.81-96
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• 2000

The study examines the present condition and prospects of venture firm accumulation center in the case of kwan-ak venture town. The survey shows most of companies have been founded since 1997. Their major items are software development and the average employees are under 10 workers. According to the questionary about the type of R&D and the level of innovation, technology innovation such as the development of new product is advanced whereas tacit innovation like inter-firm cooperation is very weak. And the source of idea and information is concentrated on the within-firms and research center As a result of the analysis of regional linkage, the dependence of production and R & D is large on kwan-ak-gu, but sales and information services have emphasis on Seoul area. In the light of the affiliation of inter-firm, they response sympathy with cooperation, but could not strengthen their commercial ties yet. At last, the policy for venture firm accumulation center must intend to make tacit measures through inventing of system instead of the simple means such as the assistance of location, finance and tax.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.1
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• pp.169-177
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• 2020

In South Korea, the results of R&D in science and technology are submitted to the National Science and Technology Information Service (NTIS) in reports that have Korea national science and technology standard classification codes (K-NSCC). However, considering there are more than 2000 sub-categories, it is non-trivial to choose correct classification codes without a clear understanding of the K-NSCC. In addition, there are few cases of automatic document classification research based on the K-NSCC, and there are no training data in the public domain. To the best of our knowledge, this study is the first attempt to build a highly performing K-NSCC classification system based on NTIS report meta-information from the last five years (2013-2017). To this end, about 210 mid-level categories were selected, and we conducted preprocessing considering the characteristics of research report metadata. More specifically, we propose a convolutional neural network (CNN) technique using only task names and keywords, which are the most influential fields. The proposed model is compared with several machine learning methods (e.g., the linear support vector classifier, CNN, gated recurrent unit, etc.) that show good performance in text classification, and that have a performance advantage of 1% to 7% based on a top-three F1 score.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.11
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• pp.310-318
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• 2018

Recently, the importance of big data analysis is increasing as a large amount of data is generated by various devices connected to the Internet with the advent of Internet of Things (IoT). Especially, it is necessary to analyze various large-scale IoT streaming sensor data generated in real time and provide various services through new meaningful prediction. This paper proposes a real-time indoor PM10 concentration prediction LSTM model based on streaming data generated from IoT sensor using AWS. We also construct a real-time indoor PM10 concentration prediction service based on the proposed model. Data used in the paper is streaming data collected from the PM10 IoT sensor for 24 hours. This time series data is converted into sequence data consisting of 30 consecutive values from time series data for use as input data of LSTM. The LSTM model is learned through a sliding window process of moving to the immediately adjacent dataset. In order to improve the performance of the model, incremental learning method is applied to the streaming data collected every 24 hours. The linear regression and recurrent neural networks (RNN) models are compared to evaluate the performance of LSTM model. Experimental results show that the proposed LSTM prediction model has 700% improvement over linear regression and 140% improvement over RNN model for its performance level.

• Journal of Korean Society of Transportation
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• v.36 no.2
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• pp.155-168
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• 2018

In this study, we studied the directional pattern of entering the intersection from the intersection upstream link prior to predicting short future (such as 5 or 10 minutes) intersection direction traffic volume on the interrupted flow, and examined the possibility of traffic volume prediction using traffic assignment model. The analysis method of this study is to investigate the similarity of patterns by performing cluster analysis with the ratio of traffic volume by intersection direction divided by 2 hours using taxi DTG (Digital Tachograph) data (1 week). Also, for linking with the result of the traffic assignment model, this study compares the impact area of 5 minutes or 10 minutes from the center of the intersection with the analysis result of taxi DTG data. To do this, we have developed an algorithm to set the impact area of intersection, using the taxi DTG data and traffic assignment model. As a result of the analysis, the intersection entry pattern of the taxi is grouped into 12, and the Cubic Clustering Criterion indicating the confidence level of clustering is 6.92. As a result of correlation analysis with the impact area of the traffic assignment model, the correlation coefficient for the impact area of 5 minutes was analyzed as 0.86, and significant results were obtained. However, it was analyzed that the correlation coefficient is slightly lowered to 0.69 in the impact area of 10 minutes from the center of the intersection, but this was due to insufficient accuracy of O/D (Origin/Destination) travel and network data. In future, if accuracy of traffic network and accuracy of O/D traffic by time are improved, it is expected that it will be able to utilize traffic volume data calculated from traffic assignment model when controlling traffic signals at intersections.