• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.229-231
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• 2023

최근 대화형 AI와 생성형 AI의 폭발적인 성장과 현실화로 인해, 한 때 온세상을 떠들썩 하게 했던 메타버스와 블록체인 기술은 잊혀지고 있다. 하지만 메타버스는 필연적으로 Web 3.0 시대의 대표적인 플랫폼으로 흘러갈 것이며, 블록체인 기술은 디지털 경제 생태계의 핵심 기술임에 틀림이 없을 것이다. 언제가 될지는 모르지만 다시금 메타버스가 세상을 혁명적으로 변화 시키는 그 때를 염두에 두며, 메타버스 시스템에서 사용되는 블록체인 기술의 현황을 살펴보고 그리 멀지 않은 미래에서의 모습도 전망해 본다.

• Proceedings of the Korea Information Processing Society Conference
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• 2008.11a
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• pp.523-526
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• 2008

소프트웨어 버스마크는 클래스나 바이너리를 대상으로 고유한 특징을 추출하여 유사도를 비교하는 방법이다. 본 논문에서는 자바의 제어 흐름을 고려한 API k-gram 버스마크 기법을 제안한다. 이 기법은 다른 것으로 대체하기 어려운 자바 표준 API 호출에 대한 시퀀스를 k-gram으로 사용했기 때문에 신뢰도가 높고, 제어 흐름을 반영하여 시퀀스를 추출하기 때문에 난독화에 강하다는 장점이 있다. 본 논문에서 제안하는 버스마크를 기법을 평가하기 위해서 신뢰도와 강인도에 대한 실험을 한 결과 기존의 버스마크보다 신뢰도와 강인도가 우수한 버스마크임을 확인하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2024.05a
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• pp.854-855
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• 2024

디지털 기술의 발전과 메타버스의 성장은 2021년을 전후로 전 세계적인 주목을 받았다. 이러한 트렌드는 게임과 소셜 서비스를 넘어 다양한 산업 분야에 영향을 미치고 있다. 관광 산업 또한 메타버스의 활용 가능성에 주목하며, 이를 통해 새로운 경험과 가치를 제공하려는 노력을 기울이고 있다. 본 연구는 메타버스 기반 관광지 추천 서비스를 통해 관광 산업 내에서 메타버스의 발전 방향성을 제시하며, 특히 한국의 주요 관광지인 서울과 제주의 랜드마크들을 중심으로 한 가상 관광 체험과 사용자 맞춤형 관광지 추천 서비스를 강조한다. 이를 통해 메타버스가 관광 산업에 어떻게 기여할 수 있는지를 탐구한다.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.30 no.3D
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• pp.241-246
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• 2010

This study is to estimate the link travel time of road networks in urban areas utilizing traffic information which is collected throughout the operation of Bus Information System (BIS). BIS, which applies the hightech information technology to an existing bus system, has been developing and operating in many bodies including the local self-government entities. However, a study to consider the technology trend is relatively rare. Even though some useful traffic informations have been collected throughout the operation of an existing BIS, which set limits to the development of a future service of integrated analysis. Accordingly, in this study, a fundamental research is performed for traffic controls in urban areas and providing a traffic information for driver throughout the estimation of link travel time of road networks. The study is proceeded throughout the data collected from the operation of BIS (Bus Information System). The result showed that the patterns of going through traffic were divided up to 2 in the bus travel time in BIS then estimate two link travel time.

• 한국ITS학회:학술대회논문집
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• 2005.11a
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• pp.149-159
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• 2005

• Journal of KIISE:Computer Systems and Theory
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• v.33 no.9
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• pp.699-708
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• 2006

Bus splitting technique reduces bus energy by placing modules with frequent communications closely and using necessary bus segments in communications. But, previous bus splitting techniques can not be used in MPSoC platform, because it uses cache coherency protocol and all processors should be able to see the bus transactions. In this paper, we propose a bus splitting technique for MPSoC platform to reduce bus energy. The proposed technique divides a bus into several bus segments, some for private memory and others for shared memory. So, it minimizes the bus energy consumed in private memory accesses without producing cache coherency problem. We also propose a task allocation technique considering cache coherency protocol. It allocates tasks into processors according to the numbers of bus transactions and cache coherence protocol, and reduces the bus energy consumption during shared memory references. The experimental results from simulations say the bus splitting technique reduces maximal 83% of the bus energy consumption by private memory accesses. Also they show the task allocation technique reduces maximal 30% of bus energy consumed in shared memory references. We can expect the bus splitting technique and the task allocation technique can be used in multiprocessor platforms to reduce bus energy without interference with cache coherency protocol.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.3
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• pp.131-146
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• 2023

Smart card data is widely used in the public transportation field. Despite the inevitability of various errors occur during the data collection and storage; however, smart card data errors have not been extensively studied. This paper investigates inherent errors in boarding and alighting station information in smart card data. A comparison smart card data and bus boarding and alighting survey data for the same time frame shows that boarding station names differ by 6.2% between the two data sets. This indicates that the error rate of smart card data is 6.2% in terms of boarding station information, given that bus boarding and alighting survey data can be considered as ground truth. This paper propose 6-step algorithm for correcting errors in smart card boarding station information, linking them to corresponding information in Bus Information System(BIS) Data. Comparing BIS data and bus boarding and alighting survey data for the same time frame reveals that boarding station names correspond by 98.3% between the two data sets, indicating that BIS data can be used as reliable reference for ground truth. To evaluate its performance, applying the 6-step algorithm proposed in this paper to smart card data set shows that the error rate of boarding station information is reduced from 6.2% to 1.0%, resulting in a 5.2%p improvement in the accuracy of smart card data. It is expected that the proposed algorithm will enhance the process of adjusting bus routes and making decisions related to public transportation infrastructure investments.

• Journal of the Korea Society of Computer and Information
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• v.28 no.9
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• pp.63-71
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• 2023

Metaverse is a modern new technology that is advancing quickly. The goal of this study is to investigate this technique from the perspective of computer vision as well as general perspective. A thorough analysis of computer vision related Metaverse topics has been done in this study. Its history, method, architecture, benefits, and drawbacks are all covered. The Metaverse's future and the steps that must be taken to adapt to this technology are described. The concepts of Mixed Reality (MR), Augmented Reality (AR), Extended Reality (XR) and Virtual Reality (VR) are briefly discussed. The role of computer vision and its application, advantages and disadvantages and the future research areas are discussed.

• Information Display
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• v.24 no.4
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• pp.3-11
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• 2023

• Journal of KIISE:Software and Applications
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• v.36 no.9
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• pp.767-776
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• 2009

A software birthmark is a set of characteristics that are extracted from a program itself to detect code theft. A dynamic API birthmark is extracted from the run-time API call sequences of a program. The dynamic Windows API birthmarks of Tamada et al. are extracted from API call sequences during the startup period of a program. Therefore. the dynamic birthmarks cannot reflect characteristics of main functions of the program. In this paper. we propose a functional unit birthmark(FDAPI) that is defined as API call sequences recorded during the execution of essential functions of a program. To find out that some functional units of a program are copied from an original program. two FDAPIs are extracted by executing the programs with the same input. The FDAPIs are compared using the semi-global alignment algorithm to compute a similarity between two programs. Programs with the same functionality are compared to show credibility of our birthmark. Binary executables that are compiled differently from the same source code are compared to prove resilience of our birthmark. The experimental result shows that our birthmark can detect module theft of software. to which the existing birthmarks of Tamada et al. cannot be applied.