• Journal of KIISE:Software and Applications
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• v.36 no.11
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• pp.891-900
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• 2009

The priority of software maintenance researches has been increasing, since the lengths of software lifecycle are more increasing. Measuring couplings among software entities provides a good quantitative source for analyzing source code and point out candidate refactoring positions. Logical-coupling measures how strongly two software entities are related with each other from the evolutionary point of view. The researches on logical-coupling have been focusing on improving the correctness and explaining more aspects that are hiding by measuring logical-coupling among finer-grained entities. However, existing researches on logical-coupling fails to consider characteristics of developers and projects reflected in transactions. The research proposes a logical-coupling measurement method based on transaction time, size and expertise of developer to improve the correctness by considering characteristics of developers and projects reflected in transactions. The method has been validated by applying it to three open-source projects.

• KIISE Transactions on Computing Practices
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• v.22 no.1
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• pp.8-19
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• 2016

Potholes are caused by the presence of water in the underlying soil structure, which weakens the road pavement by expansion and contraction of water at freezing and thawing temperatures. Recently, automatic pothole detection systems have been studied, such as vibration-based methods and laser scanning methods. However, the vibration-based methods have low detection accuracy and limited detection area. Moreover, the costs for laser scanning-based methods are significantly high. Thus, in this paper, we propose a new pothole detection system using a commercial black-box camera. Normally, the computing power of a commercial black-box camera is limited. Thus, the pothole detection algorithm should be designed to work with the embedded computing environment of a black-box camera. The designed pothole detection algorithm has been tested by implementing in a black-box camera. The experimental results are analyzed with specific evaluation metrics, such as sensitivity and precision. Our studies confirm that the proposed pothole detection system can be utilized to gather pothole information in real-time.

• Journal of the Korean Society for Library and Information Science
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• v.42 no.3
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• pp.61-79
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• 2008

The purpose of this paper is to investigate the three aspects of the construction and common use of old document DB in the foreign countries: i) the processing of old documents, ii) the problem and improvement of DB systems of old documents. and iii) the common use of old document DB. Results from this research are as follows: The National Library of Korea(NLK) copied old documents in the foreign countries from 1982 to 2006 and published the brief catalog. The Reogang Publishing company issued four volumes catalogs of old document in Japan. The National Research Institute of Cultural Heritage(NRICH) investigated old books and published some catalogs of several organizations in Japan. America. France. and all. The National Institute of Korean History(NIKH) investigated old archives and published some catalogs of several organizations in Japan. The characteristics of the Korean Old and Rare Collection Information System(KORCIS) of the NLK, the Old Books Cultural Heritage in Overseas System of the NRICH. and the Korea History DB System and MF Catalog/ Image System of NIKH were described in the DB systems of old documents, the problems of DB systems were checked over and some alternatives were suggested. In the common use of old document DB, KORMARC format and description rules(draft) for archives should be revised to adopt a new standard such as KS editions. and all the institutes involved should thoroughly follow the standards. when creating bibliographic records and digitizing texts. It is necessary to educate and train the specialists of old documents. A government organization should be established to supervise all the procedures of developing technology for sharing digitized resources. using contents. and cooperating with the related internationl organizations and institutes.

• Culinary science and hospitality research
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• v.19 no.4
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• pp.161-175
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• 2013

This study investigates the impact of the attributes of the eco-friendly agricultural products traceability system on perceived value and behavioral intention. Empirical subjects are those who live in Seoul and Gyeonggi province, over the age of 20 and have experience of buying eco-friendly agricultural products though department stores, discount stores and specialized eco-friendly product stores. After distributing 550 copies of questionnaire from April 10th, 2013 to May 9th, 2013, 470 copies(85.5%) are used for a final statistical analysis of the survey after excluding the copies with biased opinions or missing values. The results of this study show sufficient theoretical base for future research by verifying a causal relationships between the attributes of eco-friendly agricultural products traceability system such as reliability, safety and innovation, and consumers' perceived value and behavioral intention. Therefore, producers should correctly record producing history base so that consumers can continue to use the system. The traceability system can not only satisfy consumers by enhancing transparent management and producing systems for eco-friendly products but also guarantee us to eat all products we get without worries.

• Convergence Security Journal
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• v.7 no.2
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• pp.73-80
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• 2007

The fact that since Internet has been spreaded widely to people, Many security problems also have been grown too much. Due to sudden growth, administrator's responsibility for secure network and services has been growing more and more. This paper represents how to prevent account which didn't use for long period on multi domains environment using service log analysis. hence administrator can find security hole on systems and can dealing with it. The Service Log Analyzer is that loading log file which are written by each service and analyzing them. as a result it makes a list named Used User List contains a number of account names which uses specific services. When the time has come - means cron job schedule time, User Usage Shifter is the next runner. it's mission is finding the person who didn't used service for a specific period of time. Then modifying the expire day of the account information.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.50-53
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• 2022

Recently, there have been cases in which counterfeit foreign ships have entered and left domestic ports several times. Vessels have a ship-specific serial number given by the International Maritime Organization (IMO) to identify the vessel, and IMO marking is mandatory on all ships built since 2004. In the case of airports and ports, which are representative logistics platforms, a security system is essential, but it is difficult to establish a security system at a port and there are many blind spots, which can cause security problems due to insufficient security systems. In this paper, a port security system is designed using deep learning object recognition and OpenCV. The security system process extracts the IMO number of the ship after recognizing the object when entering the ship, determines whether it is the same ship through feature point matching for ships with entry records, and stores the ship image and IMO number in the entry/exit DB for the first arrival vessel. Through the system of this paper, port security can be strengthened by improving the efficiency and system of port logistics by increasing the efficiency of port management personnel and reducing incidental costs caused by unauthorized entry.

• The KIPS Transactions:PartB
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• v.11B no.1
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• pp.107-116
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• 2004

This paper introduces ISAAC (An Interface for Sentence Analysis & Abstraction with Cogitation) which provides an integrated user interface for sentence analysis. Into ISAAC, the various linguistic tools and resources are integrated. They are necessary for sentence analysis. Most of the tools and resources for sentence analysis are developed and accumulated independently. In the sentence analyzing with these tools and resources, it is difficult for sentence analyst to manage and control information which is taken on each step. In this respect, we have integrated the usable tools and resources, and made ISAAC to provide the consistent user oriented interface to each function. We have been able to divide sentence analysis process Into 14 steps. In ISAAC, these steps are processed by four individual modules $\cicled1$syntactic analysis of sentence,$\cicled2$retrieval of a root word,$\cicled3$searching category information in Roget s Thesaurus, and $\cicled4$searching category information in OfN(Ontology for Narratives). Therefore, in case of sentence analysis with ISAAC, the process of total 14 steps falls into 4 steps. This means that it is able to improve the performance of sentence analyst to the extent 3.5 times or more. Furthermore, ISAAC undertaking tedious transcription needed to process each step, we expect that ISAAC can help the analyst to maintain the accuracy of sentence analysis.

• Journal of KIISE:Databases
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• v.37 no.3
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• pp.127-136
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• 2010

With rapid growth of information and computer communication technologies, the numbers of digital documents including multimedia data have been recently exploded. In particular, news video database and news video mining have became the subject of extensive research, to develop effective and efficient tools for manipulation and analysis of news videos, because of their information richness. However, many research focus on browsing, retrieval and summarization of news videos. Up to date, it is a relatively early state to discover and to analyse the plentiful latent semantic knowledge from news videos. In this paper, we propose the news video mining system based on multi-modal approach and text mining, which uses the visual-textual information of news video clips and their scripts. The proposed system systematically constructs a taxonomy of news video stories in automatic manner with hierarchical clustering algorithm which is one of text mining methods. Then, it multilaterally analyzes the topics of news video stories by means of time-cluster trend graph, weighted cluster growth index, and network analysis. To clarify the validity of our approach, we analyzed the news videos on "The Second Summit of South and North Korea in 2007".

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.10
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• pp.167-175
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• 2018

To cope with the increasing number of natural disasters in recent years, managers in the National Disaster and Safety Status Control Center, who have considerable experience and skills, are regarded highly important. Although the National Disaster and Safety Status Control Center oversees the disaster-status control tasks in preparation for various natural and social disasters, there is little data due to the frequent replacement of managers. Therefore, this study developed a disaster-safety code system that tracks and manages disaster information, because the current record management and amount of information sharing remains very low. Among 22 natural and social disaster types, this study targeted four types of disasters: heavy snow, strong winds, high seas, and heavy rain. The final disaster-safety data code system was proposed through the following processes: analysis of the code systems of disaster areas in Korea and overseas, setup of the implementation of directions, development of the classification system, and categorization. For the systematic accumulation of data, the four code systems were integrated into one. A prototype system was developed and operated to verify the validity of the proposed code system. The results showed that data were accumulated and services were provided accordingly with respect to the proposed code system. If past data are accumulated and utilized according to the proposed code system in this study, it will be helpful in the decision making process to respond to new types of disasters, based on past experiences.

• Resources Recycling
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• v.20 no.2
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• pp.16-29
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• 2011

The Korea auto industry has developed remarkedly over the past 40 years and ranked up to 5th vehicles production nation in the world. In 2009 alone, Korea produced 3.5million vehicles and number of vehicles registered surpassed the seventeen million. On the other hand, 711 thousand ELV(End of Life Vehicles) were scrapped and used cars more than 265 thousand were exported. In the year 2009, 568 thousand tons of iron, 46 thousand tons of aluminum and 7 thousand tons of copper were recovered from ELV in Korea. Recycling ratio of ELV is approaching 95% by using ASR(Automobile Shredding Residue) as a fuel at cement kiln. Korea has enacted the automobile recycling law in 2007 and enforced it from January 2009, actually. However, the law has not been managed smoothly due to delays in the construction of infrastructure and the existence of a hostile monitoring system. In this regard, a revision and supplement program focused on recycling fee on the automobile recycling law is running under the ministry of environment now. Here, a recycling model for enhancing ELV recycling is suggested.