• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.10
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• pp.1331-1340
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• 2020

Object detection in maritime means that the captain detects floating objects that has a risk of colliding with the ship using the computer automatically and as accurately as human eyes. In conventional ships, the presence and distance of objects are determined through radar waves. However, it cannot identify the shape and type. In contrast, with the development of AI, cameras help accurately identify obstacles on the sea route with excellent performance in detecting or recognizing objects. The computer must calculate high-volume pixels to analyze digital images. However, the CPU is specialized for sequential processing; the processing speed is very slow, and smooth service support or security is not guaranteed. Accordingly, this study developed maritime object detection software and implemented it with FPGA to accelerate the processing of large-scale computations. Additionally, the system implementation was improved through embedded boards and FPGA interface, achieving 30 times faster performance than the existing algorithm and a three-times faster entire system.

• Journal of the Korean Institute of Landscape Architecture
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• v.49 no.4
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• pp.30-40
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• 2021

This study developed quantitative models to estimate the rainfall interception by seven native landscape tree species based on throughfall measurements. The tree species considered in this study were Abies holophylla, Acer palmatum, Ginkgo biloba, Pinus densiflora, Pinus koraiensis, Prunus yedoensis, and Zelkova serrata, which are frequently planted in the Korea. Among these species, 35.8% of the annual precipitation was intercepted by P. koraiensis, 34.1% by A. holophylla, 31.0% by Z. serrata, 27.6% by P. densiflora, 26.9% by G. biloba, 18.6% by A. palmatum, and 18.4% by P. yedoensis. All the quantitative models showed high fitness with r² values of 0.90-0.99. The annual rainfall interception from a tree with DBH of 20 cm were greatest with Z. serrata (5.1 m³/yr), followed by P. koraiensis (4.1 m³/yr), A. holophylla (3.1 m³/yr), G. biloba (2.8 m³/yr), P. densiflora (2.1 m³/yr), P. yedoensis (1.9 m³/yr), and A. palmatum (1.8 m³/yr) in order. Thus, evergreen tree species or those with a relatively high crown density were more effective in intercepting rainfall. In particular, the annual rainfall interception by Z. serrata was the greatest because its crown area, volume, and density were higher than those of the other species. This study pioneers in quantifying annual rainfall interception for landscape tree species in Korea. The study results can be useful for evaluating rainfall interception by landscape trees in urban greenspace design for governments and corporations.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.45
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• pp.191-238
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• 2010

The purpose of this paper is to make research on the trend of the worldwide medical device market, the trend of the medical device market in the major foreign countries, the present status of the medical device industry in Korea and Gangwon area, the present status of export competitive power and the SWOT analysis of competitive power of the medical device industry in Gangwon area, and the strengthening methods of export competitive power of the medical device industry in Gangwon area. As the research method, the questionaire for the strengthening of export competitive power of the medical device industry in Gangwon area was carried out from August 13 to Otober 22, 2009. The worldwide medical device market in 2008 is estimated at USD 210.2 billion, with the United States being the largest market, followed closely by Japan and Western Europe. In 2006, the worldwide export amount of medical devices recorded USD 121.1 billion and the worldwide import amount of medical devices recorded USD 126.3 billion. As of the end of 2008, the number of Korea's medical device manufacturers expanded to 1,726. The production amount of Korea's medical device industry in 2008 recorded 2,525 billion won, and the domestic market volume of medical devices in 2008 recorded 3,618 billion won. Korea's export amount of medical devices in 2008 recorded USD 1,132 million and recorded a 9.67% growth compared to the previous year, and the import amount of medical devices recorded USD 2,123 million and recorded a 1.43% reduction compared to the previous year. As of the end of 2008, the number of Gangwon area's medical device manufacturers expanded to 81. The production amount of Gangwon area's medical industry in 2008 recorded 380 billion won, and Gangwon area's export amount of medical devices recorded USD 269 million and recorded a 0.25% reduction compared to the previous year, and the import amount of medical devices recorded USD 3 million and recorded a 39.63% reduction compared to the previous year. According to the result analysis of the questionaire for the strengthening of export competitive power of medical device industry in Gangwon area(August 13~October 22, 2009), the competing country of the export medical device is the United States being the highest ranking. Comparing to the collective competitive power level 100 of the competing country, the collective competitive level of the export medical device is 60 below and 70-80 below being the highest ranking. Comparing to the quality level 100 of the United States, EU and Japan, the quality level of the export medical device is 80-90 below being the highest ranking. Comparing to the design level 100 of the United States, EU and Japan, the design level of the export medical device is 90-100 below being the highest ranking. Comparing to the technology level 100 of the United States, EU and Japan, the technology level of the export medical device is 80-90 below being the highest ranking. According to the SWOT analysis of competitive power of medical device industry in Gangwon area, the strength is the abundant expert manpower of the medical device in Wonju area. The weakness is the fragility of the brand recognition of the medical device industry. The opportunity is the demand increase of the new medical device owing to the advanced age of population. The threat is the difficulty of entry into overseas market owing to the request of the new specification certification of the medical device. In order to strengthen the export competitive power of the medical device industry in Gangwon area, the following measures should be taken by the government, local self-government body, related organization and medical device industry : the development of new technology and design, the enhancement of brand recognition. the acquisition of the foreign specification certification, the building of overseas distribution channel and after sales service channel, the positive participation in overseas medical device exhibition and opening of medical device exhibition, the training of expert manpower, the strengthening of overseas marketing, and the application of FTA and the establishment of counter measures against FTA. In conclusion, the medical device industry in Gangwon area has the difficulty in the entry into the overseas market owing to the shortage of overseas marketing capability. Therefore, the government and local self-government body should make the intensive and systematical support for overseas marketing of the medical device industry. For the support of overseas marketing, the government and local self-government body should provide positively the support of expenses for the acquisition of foreign specification certification, the support of participation in the overseas medical device exhibition, the despatch of market development mission, the increase of the support amount for R&D investment fund, and the training of expert manpower of medical devices.

• Journal of the Korea institute for structural maintenance and inspection
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• v.16 no.2
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• pp.19-30
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• 2012

Due to the fact that the social environment is improved and the urban development is stabilized, the demand of new construction of apartment becomes slowdown. Accordingly, there are many researches to lengthen the service life of the existing apartment through the remodeling and its importance is continuously rising. However, reliable design specifications and guidelines for the design of remodeling with partial demolition are not provided yet in Korea. Specially, in the apartment remodeling, slab collapse accidents take major portion in all accidents that reported by Korean Government. It is very important to prevent intial crack of slab because intial crack could cause severe accident like collapse of all structure in a short period of time. The purpose of this study is to develop structural guidelines that could guarantee the structural safety and serviceability of slab structure and could be adopted in Korean remodeling with partial demolition. There are mainly two components to determine structural behavior of slab structure. One is the shape of slab structure and the other is load which is resisted by the slab structure. In this study, the weight per unit volume of concrete debris and concrete strength are estimated through the analysis of previous researches to recognize the relationship between the shape of slab and load that loaded on the slab. Accordingly, approximately 300 pieces of floor plan are collected and analyzed. The finite element analysis is conducted using these analyzed and estimated results. From the finite element analysis results, the limited stacking height of debris is suggested and the stacking method is also discussed. In addition, to find the relationship between movement of demolition equipment and structural behavior of slab, the static and dynamic loading tests are conducted. From the results of loading tests, the impact factor which will be considered in the remodeling design could be estimated.

• Journal of Intelligence and Information Systems
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• v.22 no.4
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• pp.109-122
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• 2016

Recently, big data analysis has developed into a field of interest to individuals and non-experts as well as companies and professionals. Accordingly, it is utilized for marketing and social problem solving by analyzing the data currently opened or collected directly. In Korea, various companies and individuals are challenging big data analysis, but it is difficult from the initial stage of analysis due to limitation of big data disclosure and collection difficulties. Nowadays, the system improvement for big data activation and big data disclosure services are variously carried out in Korea and abroad, and services for opening public data such as domestic government 3.0 (data.go.kr) are mainly implemented. In addition to the efforts made by the government, services that share data held by corporations or individuals are running, but it is difficult to find useful data because of the lack of shared data. In addition, big data traffic problems can occur because it is necessary to download and examine the entire data in order to grasp the attributes and simple information about the shared data. Therefore, We need for a new system for big data processing and utilization. First, big data pre-analysis technology is needed as a way to solve big data sharing problem. Pre-analysis is a concept proposed in this paper in order to solve the problem of sharing big data, and it means to provide users with the results generated by pre-analyzing the data in advance. Through preliminary analysis, it is possible to improve the usability of big data by providing information that can grasp the properties and characteristics of big data when the data user searches for big data. In addition, by sharing the summary data or sample data generated through the pre-analysis, it is possible to solve the security problem that may occur when the original data is disclosed, thereby enabling the big data sharing between the data provider and the data user. Second, it is necessary to quickly generate appropriate preprocessing results according to the level of disclosure or network status of raw data and to provide the results to users through big data distribution processing using spark. Third, in order to solve the problem of big traffic, the system monitors the traffic of the network in real time. When preprocessing the data requested by the user, preprocessing to a size available in the current network and transmitting it to the user is required so that no big traffic occurs. In this paper, we present various data sizes according to the level of disclosure through pre - analysis. This method is expected to show a low traffic volume when compared with the conventional method of sharing only raw data in a large number of systems. In this paper, we describe how to solve problems that occur when big data is released and used, and to help facilitate sharing and analysis. The client-server model uses SPARK for fast analysis and processing of user requests. Server Agent and a Client Agent, each of which is deployed on the Server and Client side. The Server Agent is a necessary agent for the data provider and performs preliminary analysis of big data to generate Data Descriptor with information of Sample Data, Summary Data, and Raw Data. In addition, it performs fast and efficient big data preprocessing through big data distribution processing and continuously monitors network traffic. The Client Agent is an agent placed on the data user side. It can search the big data through the Data Descriptor which is the result of the pre-analysis and can quickly search the data. The desired data can be requested from the server to download the big data according to the level of disclosure. It separates the Server Agent and the client agent when the data provider publishes the data for data to be used by the user. In particular, we focus on the Big Data Sharing, Distributed Big Data Processing, Big Traffic problem, and construct the detailed module of the client - server model and present the design method of each module. The system designed on the basis of the proposed model, the user who acquires the data analyzes the data in the desired direction or preprocesses the new data. By analyzing the newly processed data through the server agent, the data user changes its role as the data provider. The data provider can also obtain useful statistical information from the Data Descriptor of the data it discloses and become a data user to perform new analysis using the sample data. In this way, raw data is processed and processed big data is utilized by the user, thereby forming a natural shared environment. The role of data provider and data user is not distinguished, and provides an ideal shared service that enables everyone to be a provider and a user. The client-server model solves the problem of sharing big data and provides a free sharing environment to securely big data disclosure and provides an ideal shared service to easily find big data.