• KIPS Transactions on Computer and Communication Systems
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• v.11 no.10
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• pp.363-372
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• 2022

Since the recent COVID-19 Pandemic, the ransomware fandom has intensified along with the expansion of remote work. Currently, anti-virus vaccine companies are trying to respond to ransomware, but traditional file signature-based static analysis can be neutralized in the face of diversification, obfuscation, variants, or the emergence of new ransomware. Various studies are being conducted for such ransomware detection, and detection studies using signature-based static analysis and behavior-based dynamic analysis can be seen as the main research type at present. In this paper, the frequency of ".text Section" Opcode and the Native API used in practice was extracted, and the association between feature information selected using K-means Clustering algorithm, Cosine Similarity, and Pearson correlation coefficient was analyzed. In addition, Through experiments to classify and detect worms among other malware types and Cerber-type ransomware, it was verified that the selected feature information was specialized in detecting specific ransomware (Cerber). As a result of combining the finally selected feature information through the above verification and applying it to machine learning and performing hyper parameter optimization, the detection rate was up to 93.3%.

• Journal of the Korean Association of Geographic Information Studies
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• v.23 no.3
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• pp.252-262
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• 2020

In Remote Sensing, a machine learning based SVM model is typically utilized for land cover classification. And study using neural network models is also being carried out continuously. But study using high-resolution imagery of KOMPSAT is insufficient. Therefore, the purpose of this study is to assess the accuracy of land cover classification by neural network models using high-resolution KOMPSAT-3 satellite imagery. After acquiring satellite imagery of coastal areas near Gyeongju City, training data were produced. And land cover was classified with the SVM, ANN and DNN models for the three items of water, vegetation and land. Then, the accuracy of the classification results was quantitatively assessed through error matrix: the result using DNN model showed the best with 92.0% accuracy. It is necessary to supplement the training data through future multi-temporal satellite imagery, and to carry out classifications for various items.

• Journal of The Korean Association of Information Education
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• v.3 no.2
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• pp.120-127
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• 2000

All possible efforts have been done to adapt to the information-oriented society throughout the whole area of education. Especially, it is strongly demanded that teachers should effectively apply information communication and disposal to all the educational activities of instruction-learning, students management, school affairs, and administrative affairs. In this thesis, we chose as educational contents the information technology which is necessary in an educational site to increase the capability of applying information of teachers and developed remote training materials. In addition, we developed measurement instruments to evaluate the capability of applying information of teachers and gave grades to them. Grading System of the Capability of Applying Information of Teachers will be a standard of the capability of applying information.

• Journal of Gifted/Talented Education
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• v.24 no.4
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• pp.543-559
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• 2014

The purpose of this study was to analyze the teacher training programs focusing on reflect qualities of teachers in gifted education. A total of 20 teacher training programs were collected from the office of education, the teacher training center of university and the remote training center. These teacher training programs were analyzed using a semantic network analysis. The analysis showed that 'curriculum', 'teaching and learning' and 'development of curriculum' were emphasized in teacher training programs. Therefore, teacher training programs are operated with an emphasis on teacher's professional qualities. The analysis also revealed that many of the teacher training programs were dealt with professional and teaching faculty's qualities more than affective qualities. Therefore, it is necessary to reorganize the teacher training programs to be diversified and balanced. Furthermore, in order to improve teacher's quality equally, we suggest a systematic training program should be pot in place.

• Journal of Korea Multimedia Society
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• v.4 no.5
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• pp.446-454
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• 2001

A long-distance education method using the computational environment has been developed and implemented for quite some time. However, there has been some difficulty in the simulation of face-to-face instruction due to limitations in performance of the computers and the networks. Continued development of multimedia technologies has now made it possible to simulate face-to-face instruction, recording the teachers' instructions in the form of a screen dump. In this paper, we propose a system that allows the teacher to make loaming materials available on the Web using Window Media Technology(WMT). This technology also allows remote site users to view the contents at their convenience. A media encoder acquires the lessons and stores them as moving pictures. The lessons are displayed on the screen as the teacher explains them. The learning materials are stored in a Windows media file format, the file is stored on a lecture server and provided to the user using a streaming method in real time. The users can view the contents on the Web without requiring a special player. The proposed system consists of a lecture writer module, a lecture server module and a lecture client module.

• Journal of the Korean Institute of Intelligent Systems
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• v.14 no.7
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• pp.895-901
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• 2004

This paper describes a two-phase intelligent method for filtering spam mail based on textual information and hyperlinks. Scince the body of spam mail has little text information, it provides insufficient hints to distinguish spam mails from legitimate mails. To resolve this problem, we follows hyperlinks contained in the email body, fetches contents of a remote webpage, and extracts hints (i.e., features) from original email body and fetched webpages. We divided hints into two kinds of information: definite information (sender`s information and definite spam keyword lists) and less definite textual information (words or phrases, and particular features of email). In filtering spam mails, definite information is used first, and then less definite textual information is applied. In our experiment, the method of fetching web pages achieved an improvement of F-measure by 9.4% over the method of using on original email header and body only.

• Journal of the Korean Institute of Educational Facilities
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• v.9 no.5
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• pp.5-12
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• 2002

High-speed telecommunication has brought variety of changes in every field of the world at large. In the field of education, use of multimedia has been positively introduced as teaching and learning tools. In addition, introduction of remote education as well as information and communication technology (ICT) has led an educational system gone into melting pot. These changes have known to be impossible without the provision of the infrastructure of telecommunications such as cabling, cable pathway, telecommunication equipments, and space for the equipments. Although the infrastructure of telecommunications should be fully considered from the early stage of the building design, most of the existing buildings have only cabling for voice communication such as telephone. As a result, heavy expenses are required for the installation of new telecommunication equipments. Such problems as defilement of the appearance of the building and a falling-off in reliability of telecommunication line are caused by the exposed cabling, when the cabling pathway and/or the space for the equipments are not reserved. Considering over 70% of error in telecommunication is coming from the cabling in building, it is necessary to reserve the space for efficient maintenance of the cabling and the equipments. In recent years, the national standard(TTAS.KO-04.0005) on the reservation of space for telecommunication cabling and equipments in residential and commercial building is established and applied for the building design. As well, the standard is in force for the educational buildings. In this study, we try to provide the guidelines for the design of telecommunications infrastructure in educational buildings for the purpose of efficient operation of education information and ICT.

• International journal of advanced smart convergence
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• v.9 no.1
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• pp.63-69
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• 2020

The rapid development in modern industrialization pollutant the water and atmospheric air across the globe that have a major impact on the human and livings health. In worldwide, every country government increasing the importance to improve the outdoor air pollution monitoring and control to provide quality of life and prevent the citizens and livings life from hazard disease. We proposed the environmental dust level detection method for outdoor facilities using sensor fusion technology to measure precise micro-dust level and monitor in realtime. In this proposed approach use the camera sensor and commercial dust level sensor data to predict the micro-dust level with data fusion method. The camera sensor based dust level detection uses the optical flow based machine learning method to detect the dust level and then fused with commercial dust level sensor data to predict the precise micro-dust level of the outdoor facilities and send the dust level informations to the outdoor air pollution monitoring system. The proposed method implemented on raspberry pi based open-source hardware with Internet-of-Things (IoT) framework and evaluated the performance of the system in realtime. The experimental results confirm that the proposed micro-dust level detection is precise and reliable in sensing the air dust and pollution, which helps to indicate the change in the air pollution more precisely than the commercial sensor based method in some extent.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2007.10a
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• pp.469-472
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• 2007

The telemedicine system provide an efficient means to monitor the status of health and measure bio-information even though the limitation of distance and time. The telemedicine system can be divided into two categories. The first one is Remote Support Service which can monitor the patient including home environments and give those diagnosis information to medical office. and the other one is Alarm Service that can be used for tile emergency status. For the convenience of the patient we will design and implement portable healthcare device and the telemedicine system under the wireless ZigBee network environments.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.6 no.2
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• pp.149-158
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• 2005

In this paper, we have designed and implemented a portable e-tongue (electronic tongue) system using MACS (multi array chemical sensor) and PDA. The system embedded in PDA has merits such as comfortable user interface and data transfer by internet from on-site to remote computer. MACS was made up 7 electrodes (${NH_4}^+$, $Na^+$, $Cl^-$, ${NO_3}^-$, $K^+$, $Ca^{2+}$, $Na^+$, pH) and a reference electrode. For learning the system, we adapted the Levenberg-Marquardt algorithm based on the back-propagation, which could iteratively learned the pre-determined standard patterns, in e-tongue system. Conclusionally, the relationship between the standard patterns and unknown pattern can be easily analyzed. The e-tongue was applied to whiskeys and cognac (one high level whisky, one low level whiskey, two cognac) and 2 sample whiskeys for each standard patterns and unknown patterns. The relationship between the standard patterns and unknown patterns can be easily analyzed.