• Proceedings of the Korea Information Processing Society Conference
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• 2002.11b
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• pp.1317-1320
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• 2002

We present in this paper a new version of AODV that incorporates with "Minimizing Maximum node cost" by formulating that metric as a cost function of residual energy of nodes. An additional parameter is added to the cost function to consider the routing performance along with power-efficiency. The motivation of adding that new parameter is originated from the trace off between power-saving behaviors and routing performance.

• Proceedings of the IEEK Conference
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• 2000.07b
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• pp.685-688
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• 2000

In this paper, we used image information for the enhancement of Korean numeral speech recognition. First, a noisy environment was made by Gaussian generator at each 10 dB level and the generated signal was added to original Korean numeral speech. And then, the speech was analyzed to recognize Korean numeral speech. Speech through microphone was pre-emphasized with 0.95, Hamming window, autocorrelation and LPC analysis was used. Second, the image obtained by camera, was converted to gray level, autocorrelated, and analyzed using LPC algorithm, to which was applied in speech analysis, Finally, the Korean numerial speech recognition with image information was more ehnanced than speech-only, especially in ‘3’, ‘5’and ‘9’. As the same LPC algorithm and simple image management was used, additional computation a1gorithm like a filtering was not used, a total speech recognition algorithm was made simple.

• Proceedings of the IEEK Conference
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• 2007.07a
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• pp.333-334
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• 2007

The proposed scheme provides a scheme to preview the whole image contents of low quality JPEG coded image without license and to select image quality as required. Therefore, users can confirm the image contents from low quality image without paying for previewing it and then, can see the best quality image by paying for the additional qualify of the image. The proposed scheme in this paper can be able to provide quality graded services as requested as well as protecting environment of intellectual property of digital contents.

• Journal of Information Technology Applications and Management
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• v.13 no.4
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• pp.141-153
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• 2006

According to supply of super high way internet service, importance of security becomes more emphasizing. Therefore, flawless security solution is needed for blocking information outflow when we send or receive data. large enterprise and public organizations can react to this problem, however, small organization with limited work force and capital can't. Therefore they need to elevate their level of information security by improving their information security system without additional money. No hackings can be done without passing invasion blocking system which installed at the very front of network. Therefore, if we manage.isolation log effective, we can recognize hacking trial at the step of pre-detection. In this paper, it supports information security manager to execute isolation log analysis very effectively. It also provides isolation log analysis module which notifies hacking attack by analyzing isolation log.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2005.10a
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• pp.942-945
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• 2005

This paper tried to analyze the collection and management method of shop-floor information for development of digital framework in u-manufacturing. In detail, the shop-floor information collection method through the direct communication with manufacturing devices using network Including RS-232C/422, field bus and ethernet is analyzed and proposed. In case the direct communication is impossible, the information collection method through additional sensors or data acquisition units is analyzed and proposed. Moreover, the collection method through bar code reader or touch screen of operators is analyzed and proposed to act up to machine to man/mobile/machine.

• Asia pacific journal of information systems
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• v.9 no.4
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• pp.1-21
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• 1999

This study intends to find the empirical relationship between the environmental and organizational characteristics and the strategic use of information systems(SUIS). Sixty-five firms in Korea are surveyed and analyzed to understand the impact of these characteristics on SUIS. As environmental characteristics, we select dynamism, hostility, and heterogeneity. As organizational characteristics, we select centralization, formalization, and IS maturity. The result of correlation analysis shows that formalization and information systems maturity are correlated significantly with SUIS. The result of regression analysis reveals that formalization is a major determinant to influence on SUIS of organization. Also, additional analysis shows that service industry have higher extent of SUIS than manufacturing industry.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.728-731
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• 2014

Today, the quality of medical service has become a major concern because that sustainable development of IT technology and extending people's life expectancy. This paper, it is used as a tool for the medical information quality management that analyze tweets big data form generated by individual's daily. The result of the analyze big data offers improvement medical information based evidence based medicine. Also it has been possible for a trace observation of chronic disease and can reduce additional other complications of patients. Therefore, effective treatment of disease and prevention is possible.

• Convergence Security Journal
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• v.18 no.5_1
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• pp.3-9
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• 2018

The purpose of this study is to propose effective countermeasures against the regulation and supervision of unique identification information for financial institutions and present the present problems and future directions. In financial institutions, it is investigated that DB system of many personal information processing systems is in order to comply with the law, and additional measures such as encryption are required for data files containing unique identification information in many other application systems. In this paper, the conclusions of institutional, administrative, and technological feasibility are presented.

• Journal of Information Science Theory and Practice
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• v.8 no.4
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• pp.20-28
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• 2020

In this study, the RDA DMP Common Standard (RDCS), a data model for implementing a machine actionable Data Management Plan (maDMP), was analyzed in four aspects. First, the twelve class models proposed by RDCS were analyzed. Second, whether the DMP attribute was included in the class attribute was analyzed. Third, we analyzed the namespace used for RDCS properties. Fourth, the values and identifiers used in RDCS properties were analyzed. As a result of the analysis, four directions for improvement were derived. First, it is necessary to add an academic record class to describe information such as papers and reports, which are representative academic documents. Second, the primary research institution, responsibility, resources, option attribute, and additional attributes are needed to describe the researcher's affiliation information. Third, it is necessary to additionally use a namespace such as Friend of a Friend that can be used universally. Fourth, the use of digital object identifier should be considered to identify academic literature.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.05a
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• pp.415-417
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• 2021

Since the words and words in Chinese sentences are continuous and the length of vocabulary is huge, Chinese NER(Named Entity Recognition) always based on character representation. In recent years, many Chinese research has been reconsidered how to integrate the word information into the Chinese NER model. However, the traditional sequence model has complex structure, the slow inference speed, and an additional dictionary information is needed, which is difficult to implement in the industry. The approach in this paper has the state of the art and parallelizable, which is integrated the char-word embeddings, so that the model learns word information. The proposed model is easy to implement, and outperforms traditional model in terms of speed and efficiency, which is improved f1-score on two dataset.