• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.10a
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• pp.573-576
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• 2014

In this paper, it provides social network service using context-aware for tourism. For this the service requires Anthropomorphic natural process. The service object need to provide the function analyzing, storing and processing user action. In this paper, it provides an algorithm to analysis with personalized context aware for users. Providing service is an algorithm providing social network, helped by 'Friend recommendation algorithm' which to make relations and 'Attraction recommendation algorithm' which to recommend somewhere significant. Especially when guide is used, server analysis history and location of users to provide optimal travel path, named 'Travel path recommendation algorithm'. Such as this tourism social network technology can provide more user friendly service. This proposed tour guide system is expected to be applied to a wider vary application services.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.8
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• pp.1018-1023
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• 2019

Since 2010, vehicle black boxes have become popular with many people, if there is no record of the vehicle accident scene, or if the offender deliberately deletes the image data, the victim succeeds. The biggest advantage of blockchain is that it is impossible to modify and delete data by data distribution storage. The biggest disadvantage is that sensitive data is also distributed. In this paper, we propose a blockchain method for the black box by using the advantage of shared block data and we intend to solve the problem of personal information leakage which is a disadvantage of blockchain by storing sensitive information stored in a blockchain in a private server by LINK blockchain with a private server. We also attached code(Github) and demonstration video(Youtube) linking LINK blockchain with the private server in this paper.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2019.05a
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• pp.142-143
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• 2019

Busan Port ranked 6th in the world with 21.67 million TEUs of container handling in 2018, but the ship supply industry has fallen short of that. Despite its technological prowess, Korea's ship supply industry lacks competitive edge in many aspects such as government support, integrated platform, and infrastructure compared to overseas ship supply industries. The use of code, which is not standardized, can be cited as a leading factor that undermines the competitiveness of Korea's ship supply industries. In the ship supply industry, the use of non-standardized codes can make it difficult to manage or analyze meaningful statistics, and, by extension, can lead to the loss of new business opportunities. Therefore, in this study, we intend to use local ship supply transaction data to study how to standardize item code to solve the problem.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2019.05a
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• pp.316-318
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• 2019

Recently, healthy life has become an issue in an aging society, and the number of people who have been interested in continuous health care for better life is increasing. In this paper, we implemented a personalized recommendation systm to provide convenient healthcare management for user. The PHR (Personal Health Record) of user could be stored in the server along with health related information such as lifestyle, disease, and physical condition. The users could be classified into similar clusters according to the PHR profile in order to provide healthcare contents to the users who had similar PHR profile. K-Means clustering was applied to generate clusters based on PHR profile and ACDT(Ant Colony Decision Tree) algorithm was used to provide personalised recommendation of health information stored in knowledge base. The app system developed in this paper is useful for users to perform healthcare themselves by providing information on serious diseases and lifestyle habits to be improved according to the clusters classified by PHR profile.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.20 no.3
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• pp.59-73
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• 2021

There are many lives lost due traffic accidents, and which have not decreased despite advances in technology. In order to prevent traffic accidents, it is necessary to accurately forecast how they will change in the future. Until now, traffic accident-frequency forecasting has not been a major research field, but has been analyzed microscopically by traditional methods, mainly based on statistics over a previous period of time. Despite the recent introduction of AI to the traffic accident field, the focus is mainly on forecasting traffic flow. This study converts into time series data the records from 1,339,587 traffic accidents that occurred in Korea from 2014 to 2019, and uses the AI algorithm to forecast the frequency of traffic accidents based on driver's age and time of day. In addition, the forecast values and the actual values were compared and verified based on changes in the traffic environment due to COVID-19. In the future, these research results are expected to lead to improvements in policies that prevent traffic accidents.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.17 no.4
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• pp.75-88
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• 2007

Current electronic voting systems are not sufficient to satisfy trustworthy elections as they do not provide any proof or confirming evidence of their honesty. This lack of trustworthiness is the main reason why e-voting is not widespread even though e-voting is expected to be more efficient than the current plain paper voting. Many experts believe that the only way to assure voters that their intended votes are casted is to use paper receipts. In this paper, we propose an efficient scheme for issuing receipts to voters in an e-voting environment using the well-known cut-and-choose method. Our scheme does not require any special printers or scanners, nor frequent observations of voting machines. In addition, our scheme is more secure than the previous schemes.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.21 no.2
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• pp.101-110
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• 2011

Recently, an attack to an application incapacitates the intrusion detection rule, the defense policy for a network and database and induces intrusion incidents. Thus, it is necessary to study integration security to ensure the security of an internal network and database from that attack. This article is about building an integration security system to prevent an attack to an application set with intrusion detection rules. It responds to network-based attack through detection, disperses attack with the internal integration security system through virtual clustering and load balancing, and sets up defense policy for attacking destination packets, analyzes and records attack packets, and updates rules through monitoring and analysis. Moreover, this study establishes defense policy according to attacking types to settle access traffic through virtual machine partition policy and suggests an integration security system applied to prevent attack and tests its defense. The result of this study is expected to provide practical data for integration security defense for hacking attack from outside.

• The Journal of the Korea Contents Association
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• v.20 no.12
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• pp.230-240
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• 2020

To develop a virtual world-based immersive tutoring system, we would like to develop a simulation in the spatial aspect to maximize the diversity and realism of the situation. This implementation requires the modeling of virtual space as well as the knowledge and intelligent thinking functions of virtual humans. First, information structures are needed to simulate the hierarchical and multifaceted composition of space and the corresponding knowledge of virtual humans. Specifically, four structures for 2.5D spatial distribution expression, complex spatial relationship expression, object expression, and temporal and spatial representation of events are developed respectively. It then uses these expressed knowledge to develop the spatial thinking function of virtual humans needed to make spatial movement. In general, events have a chain effect on adjacent or connected objects through force, resulting in a variety of situations and reflected in the planning of the next action by the virtual humans involved. For this purpose, the development of events according to historical trends is recorded on the representation structure of time and space. It embodies typical events to demonstrate the feasibility of independent behavior in complex spaces among virtual people.

• The Journal of Korean Institute of Information Technology
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• v.17 no.11
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• pp.17-26
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• 2019

RAID-5 technology is one of the choice for flash storage device to enhance its reliability. However, RAID-5 has inherent parity update overhead, especially, parity overhead for partial stripe write is one of the crucial issues for flash-based RAID-5 technologies. In this paper, we design efficient parity log architecture for RAID-5 to eliminate runtime partial parity overhead. During runtime, partial parity is retained in buffer memory until full stripe write completed, and the parity is written with full strip write. In addition, parity log is maintained in memory until whole the stripe group is used for data write. With this parity log, partial parity can be recovered from the power loss. In the experiments, the parity log method can eliminate partial parity writes overhead with a little parity log writes. Hence it can reduce write amplification at the same reliability.

• Journal of KIBIM
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• v.10 no.4
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• pp.50-59
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• 2020

Recently, the government has actively promoted the introduction of BIM at the national level to improve the efficiency and productivity of the construction industry, and private interest in the application of BIM has also increased. However, despite the large amount of references and information, not much research has been done in quantitative ways to accurately measure the performance of BIM projects. The purpose of this study is to review performance measurement cases using ROI, investment effect analysis, and queue model analysis using domestic and overseas BIM guideline research and to present standard templates that can quantitatively measure BIM performance records according to domestic conditions based on this. Performance measurement trends and cases according to the application of BIM were analyzed, and nine quantification elements were derived from this, and based on this, a performance measurement data collection template at the BIM life cycle stage was prepared. Detailed items and contents were prepared for the nine quantification elements, and the final template consisted of a total of 43 questions, divided into the entire stage (15), the beginning (8), the middle (8), and the latter (12) areas. It is expected that by using the standard template of railway BIM performance records developed in this study, the BIM design stage will be diagnosed and the deficiencies will be supplemented, which will be the basic data for measuring actual quantitative performance in all life cycle performance of future BIM projects.