• International Journal of Internet, Broadcasting and Communication
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• 제14권4호
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• pp.189-197
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• 2022

Today, we are exposed to various text-based media such as newspapers, Internet articles, and SNS, and the amount of text data we encounter has increased exponentially due to the recent availability of Internet access using mobile devices such as smartphones. Collecting useful information from a lot of text information is called text analysis, and in order to extract information, it is performed using technologies such as Natural Language Processing (NLP) for processing natural language with the recent development of artificial intelligence. For this purpose, a morpheme analyzer based on everyday language has been disclosed and is being used. Pre-learning language models, which can acquire natural language knowledge through unsupervised learning based on large numbers of corpus, are a very common factor in natural language processing recently, but conventional morpheme analysts are limited in their use in specialized fields. In this paper, as a preliminary work to develop a natural language analysis language model specialized in the railway field, the procedure for construction a corpus specialized in the railway field is presented.

• Journal of International Society for Simulation Surgery
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• 제3권1호
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• pp.1-8
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• 2016

In the field of Radiology, the Computer Aided Diagnosis is the technology which gives valuable information for surgical purpose. For its importance, several computer vison methods are processed to obtain useful information of images acquired from the imaging devices such as X-ray, Magnetic Resonance Imaging (MRI) and Computed Tomography (CT). These methods, called pattern recognition, extract features from images and feed them to some machine learning algorithm to find out meaningful patterns. Then the learned machine is then used for exploring patterns from unseen images. The radiologist can therefore easily find the information used for surgical planning or diagnosis of a patient through the Computer Aided Diagnosis. In this paper, we present a review on three widely-used methods applied to Computer Aided Diagnosis. The first one is the image processing methods which enhance meaningful information such as edge and remove the noise. Based on the improved image quality, we explain the second method called segmentation which separates the image into a set of regions. The separated regions such as bone, tissue, organs are then delivered to machine learning algorithms to extract representative information. We expect that this paper gives readers basic knowledges of the Computer Aided Diagnosis and intuition about computer vision methods applied in this area.

• 한국정보처리학회논문지
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• 제7권3호
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• pp.909-922
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• 2000

High sped messaging layer for application's feeling of low level network performance is needed by Clustering System based on high speed network fabrics. It should have the mechanism to directly pass messages between network card and application space, and provide flexible affodabilities for many diverse applications. In this paper, CROWN (Clustering Resources On Workstations' Network) which is designed and implemented for multi-purpose clustering system will be introduced briefly, and CLCP(CROWN Lean Communication Primitives)which is the high speed messaging layer for CROWN will be followed. CLCP consists of a firmware for controlling Myrinet card, device drier, and user libraries. CLCP supports various application domains as a result of pooling and interrupt receive mechanism. In case of polling based receive, 8 bytes short message, and no other process, CLCP has 262 micro-second response time between two nodes, and IM bytes large message, it shows 442Mbps bandwidth.

• Journal of Information Processing Systems
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• 제17권5호
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• pp.960-971
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• 2021

As the era of the 4th Industrial Revolution enters, the importance of software safety is increasing, but related systematic educational curriculum and trained professional engineers are insufficient. The purpose of this research is to propose the high priority elements for the software safety education program through needs analysis. For this purpose, 74 candidate elements of software safety education program were derived through contents analysis of literature and nominal group technique (NGT) process with five software safety professionals from various industries in South Korea. Targeting potential education participants including industrial workers and students, an on-line survey was conducted to measure the current and required level of each element. Using descriptive statistics, t-test, Borich needs assessment and Locus for focus model, 16 high priority elements were derived for software safety education program. Based on the results, suggestions were made to develop a more effective education program for software safety education.

• 한국비블리아학회지
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• 제28권1호
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• pp.5-23
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• 2017

본 연구의 목적은 초등학교 도덕 교과서에 포함된 매체를 정보처리모형을 활용하여 분석하고, 학교도서관 입장에서 매체활용능력 향상 방안을 제안하는 것이다. 이를 위하여 초등학교 4 5 6학년이 배우는 국정도덕 교과서 3권을 분석하였다. 분석 결과 초등학교 도덕 교과서의 투입 요소는 사진(시각매체)과 이야기(인쇄매체)에 편중되어 있고, 처리 요소는 조사와 표를 이용한 학습지 중심이며, 산출 요소는 글쓰기, 말하기, 제작(창작)을 중심으로 이루어지고 있는 것으로 나타났다. 그러나 투입 요소인 매체를 활용하여 적절한 학습정보를 획득할 수 있는 구체적인 활동이 부족하고, 투입 요소로 많이 출현하고 있는 시각매체의 읽기 전략도 부족한 실정이다. 투입 요소의 편향과 정보 처리 활동의 제한 등의 문제를 해결하고 매체활용능력을 신장하기 위해서 학교도서관은 독서흥미발달단계를 고려한 다양한 독서자료의 제공, 텍스트 유형에 따른 학습지 개발, 협동수업시간 확보 등을 위해서 노력해야 할 것으로 보인다.

• 예술인문사회 융합 멀티미디어 논문지
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• 제8권12호
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• pp.1-10
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• 2018

본 연구에서는 학습자의 토론 능력을 향상시킬 수 있는 방안을 모색하기 위하여 중학교 국어과 토론 수업에서 요구되는 수학교과역량을 분석하였다. 분석 결과, 리서치 활동에서는 창의성과 정보처리 능력을, 입안 활동에서는 문제해결력과 창의성, 정보처리 능력을, 반박 활동에서는 추론과 창의성, 정보처리 능력을, 요약 활동에서는 문제해결과 추론, 정보처리 능력을, 교차질의 활동에서는 문제해결과 추론, 정보처리, 그리고 창의성을, 마지막 초점에서는 창의성을, 판정 및 총평에서는 문제해결과 추론 능력을, 준비시간 활동에서는 문제해결, 추론, 정보처리 능력을 각각 요구하고 있다. 수학교과역량이 부족한 학생들은 토론 수업에서 자신의 주장을 펼치거나 상대방의 주장을 논리적으로 반박하는 것을 어려워하며, 논의된 내용들을 구조화시키고 쟁점을 도출하는 활동에도 어려움을 겪고 있다. 따라서 학습자의 토론 능력을 향상시키기 위해서는 문제해결, 추론, 정보처리, 창의성 등과 같은 수학교과역량의 신장도 함께 요구된다고 하겠다.

• 시스템엔지니어링학술지
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• 제14권1호
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• pp.19-27
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• 2018

For the purpose of technology planning and R&D strategy, this research developed a methodology for deriving technical information based on stakeholder requirements using natural language processing technology. The requirements are decomposed into semantic information based on grammar rules, and then the requirement information based technology information can be derived by linking with the three technical information extracted from the patent.

• 한국정보처리학회논문지
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• 제7권6호
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• pp.1810-1817
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• 2000

The purpose of this research is to develop an estimation model for information systems operating costs. Current cost estimation practices and types of sytem management projects have been reviewed an analyses. Typical operating project types of information systems are determined. They are application system operation, help disk operation, network management and operation, and hardware management. For each type of projects, cost factors ar identified and a structure of cost estimation model is defined. Cost estimation models have been constructed and tested by 24 real operation projects data. Statistical analysis shows derived models are statistically significant. User groups' opinion on these draft cost estimation model has been surveyed and summarized. The results of this research can be used as a cornerstone for future research on operating cost estimation, and for cost estimation guideline of information systems operation projects.

• Journal of Information Processing Systems
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• 제3권2호
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• pp.73-81
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• 2007

In this paper, we introduce a domain-independent classification framework based on both k-nearest neighbor and Naive Bayesian classification algorithms. The architecture of our system is simple and modularized in that each sub-module of the system could be changed or improved efficiently. Moreover, it provides various feature selection mechanisms to be applied to optimize the general-purpose classifiers for a specific domain. As for the enhanced classification performance, our system provides conditional probability boosting (CPB) mechanism which could be used in various domains. In the mood classification domain, our optimized framework using the CPB algorithm showed 1% of improvement in precision and 2% in recall compared with the baseline.

• 대한수학교육학회지:학교수학
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• 제4권2호
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• pp.147-160
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• 2002

The purpose of this study is to examine the The correlation between information processing types and mathematical communication abilities / word problem solving abilities. The results obtained are as follows: 1 Simultaneous/continuous information process types showed statistically high correlation with mathematical communication abilities. However, the correlation between simultaneous information process and mathematical communication abilities is a little higher than the correlation between continuous information process and mathematical communication abilities. 2. There is a high correlation between mathematical communication abilities and word problem solving abilities. Especially, speaking ability is much more correlated with four factors of word problem solving than reading, writing and listening, Through this study, we can conclude that information process types should be consider ed in order to improve mathematical communication abilities and mathematical communication abilities is essential in word problem solving.