• Proceedings of the Korea Information Processing Society Conference
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• 2008.11a
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• pp.645-648
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• 2008

최근 건설 분야의 정보화 기술이 발달함에 따라 건설생애(Life Cycle) 과정에서 파생되는 방대한 양의 정보를 수집·가공·축적·제공 하는 시스템이 급증하는 추세이다. 특히, 건설공사의 주요요소인 자재 정보를 제공하는 Web 기반 온라인 시스템만 현재 110여개 이상으로 토목·건축·설비·소방 분야에 이르기까지 매우 다양하다. 그러나 이러한 시스템에서 제공 중인 정보가 표준화 및 정형화 되지 않아 건설현장 실무자들의 정보 획득에 있어 많은 어려움을 겪고 있다. 이에 본 연구에서는 정형화되고 표준화된 건설자재정보를 제공하기 위해 건설자재 분류체계를 정의하고 건설자재 속성정보를 정형화하여 자재별 분류체계검색, 통합검색, 카테고리검색 뿐만 아니라 전자카탈로그로 변환 및 생성이 가능한 건설자재정보 관리 시스템을 설계 및 구현 하였다.

• Journal of Plant Biotechnology
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• v.36 no.1
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• pp.30-37
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• 2009

Tissue-type plasminogen activator (t-PA) is a thrombolytic agent important in fibirn clot lysis. T-PA causes fibirn-specific plasminogen activation. Six binary vectors harboring t-PA and its derivative genes were cloned and expressed in transgenic alfalfa plants. The insertion of the t-PA and its derivative genes in genomic DNA of alfalfa plants was confirmed by PCR. The presence of the t-PA and its derivative transcripts in total RNAs of the transgenic alfalfa leaves was verified by RT-PCR. ELISA experiments demonstrated that the highest level of recombinant t-PA expression was $75.1{\mu}g$/ total soluble protein (mg) in alfalfa plants. The amount of recombinant t-PA and its derivative proteins in transgenic plants was estimated to range from 9.7 to $39.5{\mu}g$/ total soluble proteins (mg). Western blot analysis of the transformed alfalfa leaves revealed bands of approximately 68-kDa recombinant t-PA and its derivative proteins. The fibrinolysis of recombinant t-PA and its derivative proteins was confirmed by a fibrin plate assay (range from 3.2 to 8.1 cm). The results presented provide information for the development of an additional production of recombinant human proteins having pharmaceutical applications using transgenic plants.

• The Journal of the Korea Contents Association
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• v.22 no.4
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• pp.222-230
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• 2022

Recently, Korea's cultural content industry is developing, and behind the growing recognition around the world is the real-time sharing service of global network users due to the development of science and technology. In particular, in the case of YouTube, its propagation power is fast and powerful in that everyone, not limited users, can become potential video providers. As more than 80% of mobile phone users are using YouTube in Korea, YouTube's information means that psychological factors of users are reflected. For example, information such as the number of video views, likes, and comments of a channel with a specific personality shows a measure of the channel's personality interest. This is highly related to the fact that information such as the frequency of keyword search on portal sites is closely related to the stock market economically and psychologically. Therefore, in this study, YouTube information from a representative entertainment company is collected through a crawling algorithm and analyzed for the causal relationship with major variables related to stock prices. This study is considered meaningful in that it conducted research by combining cultural content, IT, and financial fields in accordance with the era of the fourth industry.

• Journal of Digital Contents Society
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• v.18 no.3
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• pp.543-550
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• 2017

Superhero films have formed a new genre convention encompassing all the generations. Figures derived from image contents are solid figures produced by means of professional figuration skills. Possession of figures has a symbolic meaning as a medium connecting the imaginary world and real one. From this perspective, figures hold an important position as a character product derived due to market expansion of the content industry. In this context, the study, which analyzed how appraisal of outward visual elements in superhero action figures might affect consumer's purchase intention, aimed to identify their purchase patterns. For this, the study established colors, types of physical body, facial figures and motions as independent variables for appraisal of outward visual elements, and purchase intention as a dependent variable and then conducted a multiple regression analysis. As a result of the analysis, the study found that colors, types of physical body and facial figures had a positive influence on purchase intention, while motions had no significant influence.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2007.11a
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• pp.762-767
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• 2007

The activity conducted throughout the life cycle of any facility generate an enormous quantity of data that needs to be stored, retrieved, communicated, and used by all parties involved. Advanced in technology have increased the opportunities for gathering, providing access to exchanging, and archiving all of this information for future reference. Considering that classification system of construction material is reviewed international exchange of information by the ISO standard, it is consist of classification form of construction process. As a result, this study analyzed to OmniClass Table-22(Master Format-20(4) for the purpose of gaining a the international standard and electronic information, and compared to OmniClass Table-23 ${\cdot}$ 35 ${\cdot}$ 41(UniClass, EPIC) for the expansion and standardization. Furthermore, it is tried to integrate with UN/SPSC attribute code for the establishing of application and international exchange.

• Journal of the Korea Society of Computer and Information
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• v.25 no.4
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• pp.113-121
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• 2020

With the rapid development of information and communication technology (ICT), various sensors are being embedded in wearable devices. Consequently, these devices can continuously collect data including health data from individuals. The collected health data can be used not only for healthcare services but also for analyzing an individual's lifestyle by combining with other external data. This helps in making an individual's life more convenient and healthier. However, collecting health data may lead to privacy issues since the data is personal, and can reveal sensitive insights about the individual. Thus, in this paper, we present a method to collect an individual's health data from a smart band in a privacy-preserving manner. We leverage the local differential privacy to achieve our goal. Additionally, we propose a way to find feature points from health data. This allows for an effective trade-off between the degree of privacy and accuracy. We carry out experiments to demonstrate the effectiveness of our proposed approach and the results show that, with the proposed method, the error rate can be reduced upto 77%.

• Proceedings of the Korea Information Processing Society Conference
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• 2002.11a
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• pp.619-622
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• 2002

동사패턴은 원시 언어 분석을 위해 동사와 동사의 격성분 및 의미제약을 기술하고, 목적언어 생성을 위해 동사의 대역어 및 격성분들의 생성 위치정보를 기술한다. 이러한 동사패턴의 구축은 시간적, 경제적 부담이 큰 작업이며, 동사패턴 구축의 자동화 혹은 반자동화에 대한 요구는 크다. 본 논문에서는 서술성 명사와 결합하여 동사를 생성하는 접사들인 '-하-, -되-, -받-, -당하-, -드리-'에 대해, 이들 간의 상호 변환 규칙을 이용하여 수동으로 구축된 동사패턴으로부터 새로운 동사패턴을 자동으로 생성한다. 변환 규칙에서는 명사 어휘별 접사 분포 정보와 함께, 접사와 결합된 파생동사의 구문정보가 요구된다. 그러나, 기존의 사전에는 서술성 명사들의 '-하다, -되다' 분포 및 구문정보만이 기술되어 있고, '-받다, -당하다, -드리다'에 대해서는 기술되어 있지 않다. 본 논문에서는 서술성 명사들의 접사 분포 정보 및 구문정보를 파악하고, 이들 간의 상호 변환 규칙을 도출하여 새로운 동사패턴을 생성화는 2단계 작업을 수행한다.

• Journal of the Korea Institute of Military Science and Technology
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• v.27 no.2
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• pp.256-264
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• 2024

In the last 10 years, AI has made rapid progress, and image classification, in particular, are showing excellent performance based on deep learning. Nevertheless, due to the nature of deep learning represented by a black box, it is difficult to actually use it in critical decision-making situations such as national defense, autonomous driving, medical care, and finance due to the lack of explainability of judgement results. In order to overcome these limitations, in this study, a model description algorithm capable of local interpretation was applied to the inception network-derived AI to analyze what grounds they made when classifying national defense data. Specifically, we conduct a comparative analysis of explainability based on confidence values by performing LIME analysis from the Inception v2_resnet model and verify the similarity between human interpretations and LIME explanations. Furthermore, by comparing the LIME explanation results through the Top1 output results for Inception v3, Inception v2_resnet, and Xception models, we confirm the feasibility of comparing the efficiency and availability of deep learning networks using XAI.

• The KIPS Transactions:PartC
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• v.11C no.6 s.95
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• pp.739-746
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• 2004

License mechanisms are the key elements in almost all DRM(digital rights management) systems. The license mechanisms are designed for the clear identification and enforcement of contents, principals, and usage rules in DRM systems. But current license mechanisms are lacking in the flexibility for the secure and efficient sharing of the contents among the members of a group such as a family or a part of an enterprise. This paper suggests a new license mechanism for efficient and secure sharing of contents in DRM systems among the members of a group. We named it member/group license mechanism. The mechanism extends the current license mechanisms by introducing new concepts such as group licenses, member licenses, and derivation relationships between licenses.

• Proceedings of the KAIS Fall Conference
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• 2008.11a
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• pp.379-381
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• 2008

본 논문에서는 도시의 소음문제와 기존 방음벽의 문제를 근본적으로 해결하기 위해서는 도시 생태계를 고려한 생태식생방음벽의 개발이 필요하며 이를 위해 시스템 및 소재개발, 설계 및 시공기술들을 개발이 필요하다. 방음벽의 소음의 저감을 위한 단순한 구조물차원을 벗어나 소음 저감 기능을 가지는 환경친화적인 녹화구조물로 개발될 필요가 있다. 이는 절대 녹지의 부족과 단절로 인해 파생되는 도시 생태적 문제를 적극적으로 해결할 수 있는 현실적인 대안이 될 수 있을 뿐만 아니라, 도시경관 및 운전자와 주민 정서의 순화에 크게 기여할 것으로 예상된다. 결론적으로, 도시생태환경에 악영향을 가져왔던 기존의 방음벽에 반해서, 도시 전체적으로 녹지의 확대와 더불어 경관의 향상, 생태계 복원 등 시너지 효과를 가져올 식생방음벽의 개발은 도시환경의 질적 개선을 위한 현실적인 대안으로 연구 개발이 필요하다고 판단된다.