• Proceedings of the Korea Information Assurance Society Conference
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• 2004.05a
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• pp.199-204
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• 2004

Operating systems and application programs have security vulnerabilities derived from the software development process. Recently, incident cases related with the abuses of these vulnerabilities are increasing and the damages caused by them are becoming very important security issues all over the nations. Patch management is one of the most important processes to fix vulnerabilities of softwares and to ensure a security of systems. Since an institute or a company has distributed hierarchical and heterogeneous systems, it is not easy to update patches promptly. In this paper, we propose patch management framework to safely distribute and install the patches on Windows, Linux, and Solaris client systems. Besides, we censidered extensibility and hierarchical structure for our patch management framework to support large scaled network environment.

• Journal of Institute of Control, Robotics and Systems
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• v.13 no.8
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• pp.810-816
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• 2007

A security robot system named EGIS-SR is a mobile security robot through one of the new growth engine project in robotic industries. It allows home surveillance through an autonomous mobile platform using onboard cameras and wireless security sensors. EGIS-SR has many sensors to allow autonomous navigation, hierarchical control architecture to handle lots of situations in monitoring home surveillance and mighty networks to achieve unmanned security services. EGIS-SR is tightly coupled with a networked security environment, where the information of the robot is remotely connected with the remote cockpit and patrol man. It achieved an intelligent unmanned security service. The robot is a two-wheeled mobile robot and has casters and suspension to overcome a doorsill. The dynamic motion is verified through $ADAMS^{TM}$ simulation. For the main controller, PXA270 based hardware platform based on linux kernel 2.6 is developed. In the linux platform, data handling for various sensors and the localization algorithm are performed. Also, a local path planning algorithm for object avoidance with ultrasonic sensors and localization using $StarGazer^{TM}$ is developed. Finally, for the automatic charging, a docking algorithm with infrared ray system is implemented.

• Proceedings of the Korea Contents Association Conference
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• 2005.05a
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• pp.151-155
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• 2005

Telemedicine uses common technologies that provide a conduit for information exchange between physicians nurses and patients. In addition to patient records, medical professionals can obtain vital signs and other reference data through telemedicine applications. also, recent advancement in RF technology and wireless communications has enabled the development of Ubiquitous networks. Mobile telemedicine involves more than just communicating via mobile phone of PDA that sends and receives medical data on Portable Internet. this paper describes the design of a mobile telemedicine PDA prototype based on Embedded Linux that can be used to monitor the medical information using a single board computer(SBC). This system would be very useful for patients with chronic illness, especially in an emergent environment, and for containing medical cost in the aged society.

• Journal of Korea Society of Industrial Information Systems
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• v.20 no.6
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• pp.11-20
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• 2015

This paper describes design and implementation experience of SAS-G2S slotmachine accounting protocol middleware system that converts the legacy binary format SAS (Slot Accounting System) protocol with servers with recent standards G2S protocol. The paper examines the difference of two protocols such as link control, message format, and parameters. The converter architecture uses bridge and connector patterns and implemented in C++ and Python mixed language on Linux environment. The prototype system uses a 1GMHz-512MB linux machine and has passed Korean official protocol compatibility and performance test in 2015.

• The Journal of the Korea institute of electronic communication sciences
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• v.8 no.11
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• pp.1697-1706
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• 2013

Protocol analyzer is being used to analyze proper processing of CMD & data when developing SD slave IP. In this thesis, a protocol analyzer was developed for analyzing SD protocol in Windows environment using Visual C++. SD protocol analyzer consists of embedded Linux software for storing SD memory data and MFC program for analyzing this. As for protocol analysis, it has been designed to collect data transmitted from SD memory card to host by Linux software for its analysis by MFC. It was found through the experiment that the CMD type could be confirmed that occurs when reading and writing data to SD memory card using the developed board, and debugging the problems that occur was possible.

• Proceedings of the Korea Contents Association Conference
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• 2008.05a
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• pp.569-572
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• 2008

I proposed wireless ordering system using Qt embedded. This system will make the good use of real life applications and make fit for practical use. I embodied data input, transfer, gathering and back-transfer on wireless network using TCP/IP protocol on QSocket provided by Qt. Server environment is Linux 9.0 and gcc-2.95.3 on PC, and three target-boards consist PXA255 processor with wireless-LAN card which communicate through wireless access pointer. Software tools on target-board are gcc, tmake, qt-X11, qt-embedded and etc. I designed touch-screen interface for user convenience.

• Proceedings of the Korean Society of Computer Information Conference
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• 2020.07a
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• pp.329-330
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• 2020

본 논문에서는 Azure 클라우드 플랫폼의 가상서버 호스팅을 이용해 데이터 수집 환경을 구축하고, Azure에서 제공하는 자동화된 기계학습(Automated Machine Learning, AutoML)을 기반으로 데이터 분석 방법에 관한 연구를 수행했다. 가상 서버 호스팅 환경에 LAMP(Linux, Apache, MySQL, PHP)를 설치하여 데이터 수집환경을 구축했으며, 수집된 데이터를 Azure AutoML에 적용하여 자동화된 기계학습을 수행했다. Azure AutoML은 소모적이고 반복적인 기계학습 모델 개발을 자동화하는 프로세스로써 기계학습 솔루션 구현하는데 시간과 자원(Resource)를 절약할 수 있다. 특히, AutoML은 수집된 데이터를 분류와 회귀 및 예측하는데 있어서 학습점수(Training Score)를 기반으로 보유한 데이터에 가장 적합한 기계학습 모델의 순위를 제공한다. 이는 데이터 분석에 필요한 기계학습 모델을 개발하는데 있어서 개발 초기 단계부터 코드를 설계하지 않아도 되며, 전체 기계학습 시스템을 개발 및 구현하기 전에 모델의 구성과 시스템을 설계해볼 수 있기 때문에 매우 효율적으로 활용될 수 있다. 본 논문에서는 NPU(Neural Processing Unit) 학습에 필요한 데이터 수집 환경에 관한 연구를 수행했으며, Azure AutoML을 기반으로 데이터 분류와 회귀 등 가장 효율적인 알고리즘 선정에 관한 연구를 수행했다.

• International journal of advanced smart convergence
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• v.12 no.4
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• pp.237-245
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• 2023

In the cloud service, system resource such as CPU, memory, I/O bandwidth are shared among multiple users. Particularly, in Linux containers environment, I/O bandwidth is distributed in proportion to the weight of each container through the BFQ I/O scheduler. However, since the I/O scheduler can only be applied to conventional block storage devices, it cannot be applied to Zoned Namespace(ZNS) SSD, a new storage interface that has been recently studied. To overcome this limitation, in this paper, we implemented a weighted proportional I/O bandwidth sharing scheme for ZNS SSDs in dm-zoned, which emulates conventional block storage using ZNS SSDs. Each user receives a different amount of budget, which is required to process the user's I/O requests based on the user's weight. If the budget is exhausted I/O requests cannot be processed and requests are queued until the budget replenished. Each budget refill period, the budget is replenished based on the user's weight. In the experiment, as a result, we can confirm that the I/O bandwidth can be distributed on their weight as we expected.

• Convergence Security Journal
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• v.4 no.2
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• pp.1-7
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• 2004

The growth of incidents on the Internet has reflected growth of the internet itself and growth of the computing Power. while in Previous years, external attacks tended to originate from those interested trend in exploring the Internet for its own sake and testing their skills, there is an increasing trend towards intrusions motivated by financial, Political, and military objectives. so, attacks on the nation's computer infrastructures are becoming an increasingly serious problem. Even though the problem is ubiquitious, government agencies are particularly appealing targets and they tend to be more willing to reveal such events than commercial organizations. The threat of damage made necessity of security's recognition, as a result, many researches have been carried out into security of system actively. Intrusion Detection technology is detection of intrusion using audit data differently from using traditional simple filtering and informs manager of it. It has security manager of system deal with the intrusion more quickly. but, cause current environment of Internet manager can't doing response Intrusion alert immediately That's why IPS needed. IPS can response automatically the intrusion alert. so, manager is more comfortable and can response quickly.

• Journal of Satellite, Information and Communications
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• v.12 no.4
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• pp.131-140
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• 2017

Multipath TCP (MPTCP) is a transport layer protocol that simultaneously transmits data using multiple interfaces. MPTCP is superior to existing TCP in network environment with homogeneous subflows, but it shows worse performance compared to existing TCP in network environment with bufferbloat. If a bufferbloat occurs in one of the MPTCP multipaths, the packet will not arrive at the MPTCP receive buffer due to a sudden increase in delay time, resulting in a HoL blocking phenomenon. It makes the receive window of the other path to be zero. In this paper, we apply Adaptive Random Early Detection (ARED), Controlled Delay (CoDel) and Proportional Integral Controller Enhanced (PIE) among the proposed Active Queue Management (AQM) to limit the delay of bufferbloat path. Experiments were conducted to improve the performance of MPTCP in heterogeneous networks. In order to carry out the experiment, we constructed a Linux-based testbed and compared the MPTCP performance with that of the existing droptail.