• The Journal of the Korea Contents Association
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• v.5 no.5
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• pp.172-181
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• 2005

The latest attack type against network traffic appeared by worm and bot that are advanced in DDoS. It is difficult to detect them because they are diversified, intelligent, concealed and automated. The exisiting traffic analysis method using SNMP has a vulnerable problem; it considers normal P2P and other application program to be harmful traffic. It also has limitation that does not analyze advanced programs such as worm and bot to harmful traffic. Therefore, we analyzed harmful traffic out Protocol and Port analysis. We also classified traffic by protocol, well-known port, P2P port, existing attack port, and specification port, apply singularity weight to detect, and analyze attack availability. As a result of simulation, it is proved that it can effectively detect P2P application, worm, bot, and DDoS attack.

• Journal of KIISE:Software and Applications
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• v.36 no.7
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• pp.523-530
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• 2009

Despite the growing need for customized operating system kernels for embedded devices, kernel development continues to suffer from insufficient reliability and high testing cost for several reasons such as the high complexity of the kernel code. To alleviate these difficulties, this study proposes the MOdel-based KERnel Testing (MOKERT) framework for detection of concurrency bugs in the kernel. MOKERT translates a given C program into a corresponding Promela model, and then tries to find a counter example with regard to a given requirement property, If found, MOKERT executes that counter example on the real kernel code to check whether the counter example is a false alarm or not, The MOKERT framework was applied to the Linux proc file system and confirmed that the bug reported in a ChangeLog actually caused a data race problem, In addition, a new data race bug in the Linux proc file system was found, which causes kernel panic.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2003.10a
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• pp.129-132
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• 2003

In this paper, which sees the Strong-ARM SA1110 it used the main CPU and RTP in VoIP system. It will be able to apply the information communication field it embodied. It used the Tynux_box2 with the hardware side and it composed a VOIP system. And it used the RTP which is a real-time protocol in software control portion. The development environment of the paper that used the Target board and a Linux PC for connection used the RS-232C, USB connection, Ethernet LAN. The VoIP the environment for a communication used the wave file in the substitution which changes analog signal with the digital signal. And For the communication of the both sides it used the socket. This paper explained the fact that against a general technique from the operation of VoIP system. Using the Embedded linux development board which explained an operational process of the RTP protocol.

• Journal of KIISE:Software and Applications
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• v.34 no.5
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• pp.465-475
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• 2007

With the spread of Internet, web users express their daily life by articles, pictures and cartons to recollect personal memory or to share their experience. For the easier recollection and sharing process, this paper proposes diverse cartoon generation methods using the landmark lists which represent the behavior and emotional status of the user. From the priority and causality of each landmark, critical landmark is selected for composing the cartoon scenario, which is revised by story ontology. Using similarity between cartoon images and each landmark in the revised scenario, suitable cartoon cut for each landmark is composed. To make cartoon story more diverse, weather, nightscape, supporting character, exaggeration and animation effects are additionally applied. Through example scenarios and usability tests, the diversity of the generated cartoon is verified.

• Journal of KIISE:Computer Systems and Theory
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• v.37 no.3
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• pp.127-137
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• 2010

As large-scale computational applications in various scientific domains have been utilized over many integrated sets of grid computing resources, the difficulty of their execution management and control has been increased. It is beneficial to refer job history generated from many application executions, in order to identify application‘s characteristics and to decide selection policies of grid resource meaningfully. In this paper, we apply a statistical technique, Plackett-Burman design with fold-over (PBDF), for analyzing grid environments and execution history of applications. PBDF design identifies main factors in grid environments and applications, ranks based on how much they affect to their execution time. The effective factors are used for selecting reference job profiles and then preferable resource based on the reference profiles is chosen. An application is performed on the selected resource and its execution result is added to job history. Factor's credit is adjusted according to the actual execution time. For a proof-of-concept, we analyzed job history from an aerospace research grid system to get characteristics of grid resource and applications. We built JARS algorithm and simulated the algorithm with the analyzed job history. The simulation result shows good reliability and considerable performance in grid environment with frequently crashed resources.

• Proceedings of the Korean Vacuum Society Conference
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• 2012.02a
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• pp.285-285
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• 2012

본 논문에서는 HBr, O2 gas를 사용하여 나노급 반도체 디바이스에 응용되는 실리콘 트렌치 패턴의 건식 식각시 중요한 인자중의 하나인 RIE (Reactive Ion Etching) Lag현상에 관하여 연구하였다. 실험에서 사용된 식각 장치는 유도 결합 플라즈마(Inductively Coupled Plasma) 식각 장치로써, Source Power및 기판에 인가되는 Bias power 모두 13.56 MHz로 구동되는 장치이며, Source Power와 Bias Power 각각에 펄스 플라즈마를 인가할 수 있도록 제작 되어있다. HBr과 O2 gas를 사용한 트렌치 식각 중 발생하는 식각 부산물인 SiO는 프로파일 제어에 중요한 역할을 함과 동시에, 표면 산화로 인해 Trench 폭을 작게 만들어 RIE lag를 심화시킨다. Br은 실리콘을 식각하는 중요한 라디칼이며, SiO는 실리콘과 O 라디칼의 반응으로부터 형성되는 식각 부산물이다. SiO가 많으면, 실리콘 표면의 산화가 많이 진행될 것을 예측할 수 있으며, 이에 따라 RIE lag도 나빠지게 된다. 본 실험에서는 Continuous Plasma와 Bias Power의 펄스, Source Power의 펄스를 각각 적용하고, 각각의 경우 Br과 SiO 라디칼의 농도를 Actinometrical OES (Optical Emission Spectroscopy) tool을 사용하여 비교하였다. 두 라디칼 모두 Continuous Plasma와 Bias Power 펄스에 의해서는 변화가 없는 반면, Source Power 펄스에 의해서만 변화를 보였다. Source Power 값이 증가함에 따라 Br/SiO 라디칼 비가 증가함을 알 수 있었고, 표면 산화가 적게 형성됨을 예측할 수 있다. 이 조건의 경우, Continuous Plasma대비 Source Power 펄스에 의하여 RIE lag가 30.9 %에서 12.8 %로 현격히 개선된 결과를 얻을 수 있었다. 또한, 식각된 실리콘의 XPS 분석 결과, Continuous Plasma대비 Source Power 펄스의 경우 표면 산화층이 적게 형성되었음을 확인할 수 있었다. 따라서, 본 논문에서는 식각 중 발생한 Br과 SiO 라디칼을 Source Power펄스에 의한 제어로 RIE lag를 개선할 수 있으며, 이러한 라디칼의 변화는 Actinometrical OES tool을 사용하여 검증할 수 있음을 보여준다.

• Journal of KIISE:Computing Practices and Letters
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• v.7 no.6
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• pp.684-695
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• 2001

Recent recommender system uses a method of combining collaborative filtering system and content based filtering system in order to solve sparsity and first rater problem in collaborative filtering system. Collaborative filtering systems use a database about user preferences to predict additional topics. Content based filtering systems provide recommendations by matching user interests with topic attributes. In this paper, we describe a method for discovery of user preference through combining two techniques for recommendation that allows the application of machine learning algorithm. The proposed collaborative filtering method clusters user using genetic algorithm based on items categorized by Naive Bayes classifier and the content based filtering method builds user profile through extracting user interest using relevance feedback. We evaluate our method on a large database of user ratings for web document and it significantly outperforms previously proposed methods.

• Journal of KIISE:Software and Applications
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• v.33 no.2
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• pp.167-185
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• 2006

Software architecture, which is the high level model of a software system, should be specified with ADLs (Architecture Description Languages) for its clarity and preciseness. Most of ADLs such as ACME, however, have not come into extensive use in industries since ADL users should learn a distinct notation specific to architecture. On the other hand, UML is a do facto standard general modeling language for software developments. UML provides a consistent notation and various supporting tools during the whole software development cycle. UML, being a general modeling language, does not provide all concepts that are important to architecture description. UML should be extended in order to precisely model architecture. A number of researches on architecture modeling based on WML have been progressed. Ail of them, however, are based on the UML1.x. UML2.0 embraces much more concepts that are important to architecture modeling than UML1.x. In this paper. we defined an architecture modeling language based on UML2.0. We defined Generic ADL by extending UML2.0 and applied the defined Generic ADL to a restaurant reservation system.

• Spatial Information Research
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• v.12 no.4 s.31
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• pp.307-319
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• 2004

Managing GML data in traditional database systems is not efficient since It has not only characteristics of spatial data but also features of (semi) structured n documents. XML enabled database systems can manage U data efficiently, however they cannot handle spatial data. Spatial database systems are good at spatial data handling but those are inefficient for XML data. This paper proposes a storage method of GML data for spatial database systems in order to solve the problems. The proposed method generates spatial database schemas from GML application schemas and store GML data into SDBMS through the generated schemas. A prototype of the storage method has been implemented on the Postgre SQ/SPE system to show the proposed method is appropriate for storing GML data. As a result, the implemented system was able to store various GML data which had diverse XML structures and different size. Stored data size was smaller than GML files. Furthermore, spatial, non-spatial, and mixed content queries could be performed over the stored GML data as quickly.

• Journal of KIISE:Software and Applications
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• v.30 no.1_2
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• pp.40-50
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• 2003

Ontology is the artifacts for representing the truth or the states of objects by defining objects and their relations. In this paper, we propose an agent that classifies Web documents and provides personalized information towards user`s information needs using ontology. the agent uses ontology in which semantic relations on Web documents are represented in ta hierarchical form to classify Web documents. In this paper, ontology consists of concepts, features(describing concepts), relations(among concepts) and constraints(among elements in a feature). The agent can capture user's information needs efficiently by using ontology and assist Web navigation by using users profiles and the results of identification of semantic relations in Web documents. Also, the agent obtains Web documents by a look-ahead search and represents them as concepts, therefore users can understand them easily by receiving recommendations expressed in the form of high-level concepts.