• Journal of KIISE:Computing Practices and Letters
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• v.12 no.6
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• pp.339-348
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• 2006

Recently, many researches on detecting and responding worms due to the fatal infrastructural damages explosively damaged by automated attack tools, particularly worms. Network service vulnerability exploiting worms have high propagation velocity, exhaust network bandwidth and even disrupt the Internet. Previous worm researches focused on signature-based approaches however these days, approaches based on behavioral features of worms are more highlighted because of their low false positive rate and the attainability of early detection. In this paper, we propose a Distributed Worm Detection Model based on packet marking. The proposed model detects Worm Cycle and Infection Chain among which the behavior features of worms. Moreover, it supports high scalability and feasibility because of its distributed reacting mechanism and low processing overhead. We virtually implement worm propagation environment and evaluate the effectiveness of detecting and responding worm propagation.

• Proceedings of the Korea Contents Association Conference
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• 2006.05a
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• pp.156-159
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• 2006

Self management of chronic asthma is of great importance, since the disease could lead the patient into an emergent situation. In the present study, we describe design and implementation of a personal digital assistant(PDA) based asthma management system for personal application including symptom and medication to prevent from the potential exacerbation of the disease. The software program was written by the Visual C++ tool in the mobile computing environment and Object Store was applied for data management. User friendly GUI environment was provided for the patient to input his/her daily condition and self treatment such as medication for successful management. The input screen design substituted for keyboard input to a mouse in order to easy to select an item and minimize the keyboard input. The implementation results of this system., Real-time data collection and process were possible and be able to have been carried effectively out a continuous symptom, a medication of asthma patients, risk management.

• The Journal of the Korea Contents Association
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• v.7 no.8
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• pp.215-225
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• 2007

The portability and immediate communication properties of mobile devices such as UMPC influence the learning processes in interacting with peers, accessing resources and transferring data. This study explores the pedagogical potential of UMPC, being utilized in inquiry-based learning process in elementary school setting. Inquiry-based teaming, offering a powerful option for occasional projects and lab activities, is a style particularly well-suited for out-of-school programs because they have a freer hand to complement, enhance, and expand on the work that children are doing in their K-12 classes. A set of questionnaires measuring the level of interest and class achievement were answered by the students before and after the inquiry-based science class in elementary school. Statistical results show that most of the students prefer UPMC-based class to the traditional class. Some guidelines for effective UPMC-based class are also provided.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.5
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• pp.1199-1206
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• 2015

This paper introduces an algorithm for computing similarity between two poses in the motion capture data with different scale of skeleton, different number of joints and different joint names. The proposed algorithm first performs the topological analysis on the skeleton hierarchy for classifying the joints into more meaningful groups. The global joints positions of each joint group then are aggregated into a point cloud. The number of joints and their positions are automatically adjusted in this process. Once we have two point clouds, the algorithm finds an optimal 2D transform matrix that transforms one point cloud to the other as closely as possible. Then, the similarity can be obtained by summing up all distance values between two points clouds after applying the 2D transform matrix. After some experiment, we found that the proposed algorithm is able to compute the similarity between two poses regardless of their scale, joint name and the number of joints.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2007.06a
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• pp.634-637
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• 2007

Self management of chronic asthma is of great importance, since the disease could lead the patient into an emergent situation. In the present study, we describe implementation of a personal digital assistant(PDA) based asthma management system for personal application including symptom and medication to prevent from the potential exacerbation of the disease. The software program was written by the Visual C++ tool in the mobile computing environment and Object Store was applied for data management. User friendly GUI environment was provided for the patient to input his/her daily condition and self treatment such as medication for successful management. The input screen design substituted for keyboard input to a mouse in order to easy to select an item and minimize the keyboard input. The implementation results of this system., Real-time data collection and process were possible and be able to have been carried effectively out a continuous symptom, a medication of asthma patients, risk management.

• Journal of KIISE:Computing Practices and Letters
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• v.15 no.1
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• pp.1-13
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• 2009

Flash memory is widely used as a storage medium of mobile devices such as MP3 players, cellular phones and digital cameras due to its tiny size, low power consumption and shock resistant characteristics. Currently, there are many studies to replace HDD with flash memory because of its numerous strong points. To use flash memory as a storage medium, FTL(Flash Translation Layer) is required since flash memory has erase-before-write constraints and sizes of read/write unit and erase unit are different from each other. Recently, new type of flash memory called "large block flash memory" is introduced. The large block flash memory has different physical structure and characteristics from previous flash memory. So existing FTLs are not efficiently operated on large block flash memory. In this paper, we propose an efficient FTL for large block flash memory based on FAST(Fully Associative Sector Translation) scheme and page-level mapping on data blocks.

• Journal of KIISE:Computing Practices and Letters
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• v.15 no.5
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• pp.355-359
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• 2009

When an unexpected software exception arises, we programmers are to analyze what causes it. Precisely speaking, we need to analyze the cause and property of the unexpected exception. But if exceptions arise irregularly from unknown causes, it is even more difficult for us to handle them, especially in embedded system like mobile phone software development. In this paper, we propose a debugger-friendly analyzing method for exceptions using aspect oriented programming technique. What we need to know upon arising exceptions is the function call history in order to identify the reason for the exceptions. Since programmers used to spend their debugging time on unidentified exceptions, which arise irregularly our method would greatly improve the embedded software development productivity.

• KIISE Transactions on Computing Practices
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• v.23 no.11
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• pp.617-624
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• 2017

Speech recognition is now one of the most widely used technologies in HCI. Many applications where speech recognition may be used (such as home automation, automatic speech translation, and car navigation) are now under active development. In addition, the demand for speech recognition systems in mobile environments is rapidly increasing. This paper is intended to present a method for instant recognition of the Korean vowel 'ㅡ', as a part of a Korean speech recognition system. The proposed method uses bulk indicators (which are calculated in the time domain) instead of the frequency domain and consequently, the computational cost for the recognition can be reduced. The bulk indicators representing predominant sequence patterns of the vowel 'ㅡ' are learned by neural networks and final recognition decisions are made by those trained neural networks. The results of the experiment show that the proposed method can achieve 88.7% recognition accuracy, and recognition speed of 0.74 msec per syllable.

• Journal of the Korean Association of Geographic Information Studies
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• v.10 no.3
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• pp.134-148
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• 2007

There is not enough knowledge on how to use, build, and apply ubiquitous technologies such as the ubiquitous sensor network, GIS, statistic analysis system, mobile GPS system etc. Also there are other questions such as, how should the knowledge information resources be managed and web decision making system developed for national park management. The purpose of this study is to propose a framework for the national park integrated management system based on ubiquitous information technology. This study will include followings: 1) this study explores what ubiquitous information technologies are needed for national park management, 2) this study proposes building strategies about the spatial and attribute database using ubiquitous information technologies, and links methods among geographic information system, analysis program, sensor network, etc. The results of this study will contribute towards deciding a direction for national park policy in preparation for the ubiquitous computing oriented society.

• Journal of the Korea Society of Computer and Information
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• v.25 no.7
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• pp.143-150
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• 2020

Recently, many companies are interested in smart factory services. Because various smart factory services are provided by the combination of mobile devices, cloud computing, and IoT services. However, many workers turn away from these systems because most of them are not implemented from the worker's point of view. To solve this, we implemented a development tool that allows field workers to produce their own services so that workers can easily create smart factory services. Manufacturing data is collected in real time from sensors which are connected to manufacturing facilities and stored within smart factory platforms. Implemented development tools can produce services such as monitoring, processing, analysis, and control of manufacturing data in drag-and-drop. The implemented system is effective for small manufacturing companies because of their environment: making various services quickly according to the company's purpose. In addition, it is assumed that this also will help workers' improve operation skills on running smart factories and fostering smart factory capable personnel.