• Proceedings of the Korea Information Processing Society Conference
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• 2007.05a
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• pp.699-702
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• 2007

보다 효과적인 색인어 추출 및 색인어 가중치 결정을 위하여 문서의 내용뿐 아니라 구조를 이용하여 색인을 추출하는 연구가 이루어지고 있는데, 대부분의 연구들이 XML 태그의 중요도가 아닌, 문맥상의 단락에 대한 중요도를 계산하거나 HTML 문서 태그의 중요도 결정에 관한 연구들이다. 이러한 기존 연구들은 대부분이 객관적인 실험을 통해서 중요도를 입증하기보다는 상식적인 관점에서 단순한 수치로 중요도를 결정하고 있다. 본 논문에서는 웹 문서 관리를 위한 표준으로 자리잡아가고 있는 XML 문서의 태그 정보를 이용한 자동색인을 위하여, 논문을 구성하는 주요 태그의 가중치를 계산하는 방법을 제안한다. 보다 객관적인 가중치 결정을 위하여 인용된 문서간의 관계를 알아보고 서로 연관이 있을 확률을 계산하여 그 기대치만큼 색인어에 대한 가중치에 반영한다. 그리고 기존 태그 중요도 결정 방법을 적용하여 계산된 색인어 가중치를 이용한 검색성능과 비교함으로써 본 논문에서 제안한 방법을 적용하여 계산된 색인어 가중치의 효과를 검증한다.

• Proceedings of the KAIS Fall Conference
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• 2008.05a
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• pp.205-208
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• 2008

보다 효과적인 키워드 추출 및 키워드 가중치 결정을 위하여 문서의 내용뿐 아니라 구조를 이용하여 색인을 추출하는 연구가 이루어지고 있는데, 대부분의 연구들이 XML 단락별 중요도가 아닌, 문맥상의 단락에 대한 중요도를 계산하는게 일반적이다. 이러한 기존 연구들은 대부분이 객관적인 실험을 통해서 중요도를 입증하기보다는 일반적인 관점에서 단순한 수치로 중요도를 결정하고 있다. 본 논문에서는 웹 문서 관리를 위한 표준으로 자리잡아가고 있는 XML 문서의 자동색인을 위하여, 논문을 구성하는 주요 단락을 세분하고, 단락에서 추출된 용어의 가중치를 갱신해 가면서 최종 색인어 가중치를 계산하는 방법을 제안한다.

• Annual Conference on Human and Language Technology
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• 2008.10a
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• pp.162-166
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• 2008

본 연구는 말뭉치로부터 추출된 정보를 사용하여 대화 시스템에 필요한 과정들을 통합 처리하는 시스템을 제안한다. 기존 연구는 영역 확장 시 대화 시스템의 각 과정들을 위해 많은 노력이 필요하였지만, 제안하는 방법은 말뭉치를 사용하여 각 과정들을 통합적으로 업데이트함으로서 이 문제를 해결하고자 한다. 사용자 입력문장과 말뭉치의 각 문장들 간의 유사도 계산을 통하여 의미적으로 가장 유사한 말뭉치 문장의 정보를 이용하고, 시스템 응답에 필요한 정보를 선택한다. 또한, 문맥에 관련된 정보를 자동으로 추출하여 대화 관리를 위한 대화 전이 네트워크(network)를 생성한다. 따라서, 제안 시스템은 말뭉치의 추가 및 수정만으로 새로운 영역 확장과 관리에 용이한 구조를 갖는다. 실험으로 관찰한 제안된 시스템의 성능은 유사도 계산 만족도 약 77%, 시스템 응답의 적절성 약 84%로 충분히 작업 수행이 가능한 점수를 보여주었다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.5
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• pp.43-48
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• 2022

With the recent performance improvement of mobile devices as well as the emergence of various applications, not only interactive tasks but also real-time tasks are rapidly increasing. As real-time tasks have deadline requirements, resource management policies used in the conventional time-sharing systems have limitations in satisfying real-time constraints. In this paper, we examine how to efficiently manage resources while satisfying the constraints of real-time tasks through end-to-end resource management of CPU, memory, and storage when interactive and real-time tasks are executed concurrently on a mobile device. Instead of suggesting complicated resource management policies, we focus on examining the basic concepts necessary for each resource management. Specifically, we first look at basic policies such as assigning dedicated CPU cores for real-time tasks, allocating a certain working set of real-time tasks in memory, and using fast storage without context switch in I/O. We then consider how these basic policies can be adopted efficiently.

• Journal of Convergence for Information Technology
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• v.11 no.4
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• pp.46-54
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• 2021

As the realization of the 4th industrial revolution is approaching, the paradigm of the corporate work environment is changing to digital, from the traditional work environment. In particular, technologies like RPA(robotic process automation) and chatbot reduce the need for human labor or task by automating simple repetitive tasks, enabling humans to focus on more valuable tasks. In this study, corporates operating expense management services in public cloud computing environments develop a cloud module that simplifies expense report management by grafting robotic process automation and chatbot technology. According to the result of the expert evaluation, the developed system marked 80.3% of satisfaction levels and the highest satisfaction level 94% was confirmed in terms of easy of use. Based on the research result, future research can be suggested to expand the works occurring inside and outside the company to a single RPA environment by additionally linking the work system related to expense management.

• The KIPS Transactions:PartD
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• v.16D no.4
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• pp.561-570
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• 2009

In order to manage repair and maintenance efficiently in the mobile environment, the system structure to manage service as a policy and the policy description language are needed. This research defined the structure of PEP, which is the executioner of policy in the IETF policy framework, and proposed the policy description language which can be carried out under the PEP structure. The proposed policy description language derived demand matters based on documentary data and the characteristics of mobile and the policy information model was designed with the three stage approaches and was defined as policy description language. The three stage approaches are made up of the policy domain that decides the scope to which the policy applies, the policy rules which distinguish the kinds of policy application and control, and policy grammar which contextualizes the policy structure. In order to verify the efficiency of the policy description language, scenarios are defined with the policy description language and verified it by using policy tool and proved the expansive nature by comparing and analyzing other policy description language.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.6
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• pp.1301-1306
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• 2011

RTOS in the embedded system is a powerful tool for the design of multi-tasking. However, previous RTOS has large proportion in the MCU with limited memory. So it is difficult to apply RTOS. In this paper, I removed less frequently used features from the traditional RTOS, and designed lightweight RTOS that schedules and manages the resources with minimal code. I used techniques to obtain user memory using sharing stack, and to reduce the overhead at context. Considering ratio of kernel and applications, the RTOS designed in this paper is available on the MCU with more than 4KB of program memory.

• Journal of KIISE:Software and Applications
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• v.36 no.7
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• pp.571-579
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• 2009

A left-comer and look-ahead chart parsing algorithm suppresses the generation of meaningless intermediate structures, and thus, gains parsing speed-ups. However, the algorithm requires additional costs to maintain left-comer and look-ahead information throughout the parsing process. Albeit the additional costs, previous research shows that significant parsing speed-ups have been achieved for large-sized context-free grammars. In this paper, we perform similar experiments with a small-sized grammar. We still get parsing speed-ups, but relatively low. We also find that left-comer information has rather negative effects on parsing speed-ups.

• Journal of the Korean Society for information Management
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• v.35 no.2
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• pp.63-88
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• 2018

This research evaluated differences of classification performance for feature selection methods using LDA topic model and Doc2Vec which is based on word embedding using deep learning, feature corpus sizes and classification algorithms. In addition to find the feature corpus with high performance of classification, an experiment was conducted using feature corpus was composed differently according to the location of the document and by adjusting the size of the feature corpus. Conclusionally, in the experiments using deep learning evaluate training frequency and specifically considered information for context inference. This study constructed biomedical document dataset, Disease-35083 which consisted biomedical scholarly documents provided by PMC and categorized by the disease category. Throughout the study this research verifies which type and size of feature corpus produces the highest performance and, also suggests some feature corpus which carry an extensibility to specific feature by displaying efficiency during the training time. Additionally, this research compares the differences between deep learning and existing method and suggests an appropriate method by classification environment.

• The Journal of Society for e-Business Studies
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• v.19 no.2
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• pp.109-124
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• 2014

As the emerged importance and awareness for information security, It is being implemented by each industrial sector to protect information assets. In this paper, we analyze the information security checklists or security ratings criteria to derive similarity and difference in context which used to knowledge network analysis method. The analyzed results of all checklists (ISMS, PIMS, 'FSS', 'FISS', 'G') are as follows : First, It is common factors that the protection of information systems and information assets, incident response, operations management. Second, It deals with relatively important factors that IT management, the adequacy of audit activities in the financial IT sector including common factors. Third, the criteria of ISMS contains the majority of the contents among PIMS, 'FSS', 'FISS'and 'G'.