• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.9
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• pp.6290-6296
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• 2015

More informative ones of heuristics can help to conduct search more efficiently to obtain solution plan. However, in general, to derive highly informative heuristics from problem specifications requires lots of computational effort. To address this problem, we propose an State-Action based Planning Graph(SAPG) and Action-based heuristics for solving planning problems more efficiently. The SAPG is an extended one to be applied to can find interactions between subgoal & goal conditions from the relaxed planning graph which is a common means to get heuristics for solving the planning problems, Action-based heuristics utilizing SAPG graphs can find interactions between subgoal & goal conditions in an effective way, and then consider them to estimate the goal distance. Therefore Action-based heuristics have more information than the existing max and additive heuristics, also requires less computational effort than the existing overlap heuristics. In this pager. we present the algorithm to compute Action-based heuristics, and then explain empirical analysis to investigate the accuracy and the efficiency of the Action-based heuristics.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.2 no.4
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• pp.485-494
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• 1998

Communication network numbers are used in classifying each kind of network, identifying the communication companies and choosing services that are supplied by the companies. In the present, a new numbering system is needed to distinguish a new additional communication network. However the present numbering system of domestic communication network has some problems such as exhaustion of network number, excessive local numbers, and so forth So, in this thesis we call the wire and the wireless telephone network, the pager network and the personal number as communication networks, and consider the present condition and problems of our country, Korea, and foreign countries. Then we propose the efficient numbering plan. Firstly, the present 10 numbering systems that are distributed, such as communication networking number $\ulcorner$01X$\lrcorner$ are diminished into 5 communication network numbers that have same quality. Secondly, subscriber numbers are united to 8 digit and 144 area codes are made into widened 5 area codes. Thirdly, the personal numbering services are cross-distributed by century. And we examine the technical convening plan and the legal converting plan and investigate expecting efficiency of proposed numbering system. If this numbering plan is executed, subscriber's number on communication networks are unified at 8 digits, 5 reserve numbers are secured in exhausted communication network number of $\ulcorner$01X$\lrcorner$, and they can distribute subscriber numbers over twice as much. In addition, number acceptability is enlarged from 237,600 thousands to 400,000 thousands. Personal number can be classified at not only century but also a decade. Accordingly, acceptable numbers are increased two folds enough to provide unification and population increase. We were able to confirm all the efficiencies.

• Journal of Internet Computing and Services
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• v.18 no.6
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• pp.35-46
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• 2017

Recently, attackers using malicious code in cyber security have been increased by attaching malicious code to a mail and inducing the user to execute it. Especially, it is dangerous because it is easy to execute by attaching a document type file. The author analysis is a research area that is being studied in NLP (Neutral Language Process) and text mining, and it studies methods of analyzing authors by analyzing text sentences, texts, and documents in a specific language. In case of attack mail, it is created by the attacker. Therefore, by analyzing the contents of the mail and the attached document file and identifying the corresponding author, it is possible to discover more distinctive features from the normal mail and improve the detection accuracy. In this pager, we proposed IADA2(Intelligent Attack mail Detection based on Authorship Analysis) model for attack mail detection. The feature vector that can classify and detect attack mail from the features used in the existing machine learning based spam detection model and the features used in the author analysis of the document and the IADA2 detection model. We have improved the detection models of attack mails by simply detecting term features and extracted features that reflect the sequence characteristics of words by applying n-grams. Result of experiment show that the proposed method improves performance according to feature combinations, feature selection techniques, and appropriate models.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.22 no.4
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• pp.851-868
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• 2012

After the financial crisis in 2008, the financial market still seems to be unstable with expanding the insolvency of the financial companies' real estate project financing loan in the aftermath of the lasted real estate recession. Especially after the illegal actions of people's financial institutions disclosed, while increased the anxiety of economic subjects about financial markets and weighted in the confusion of financial markets, the potential risk for the overall national economy is increasing. Thus as economic recession prolongs, the people's financial institutions having a weak profit structure and financing ability commit illegal acts in a variety of ways in order to conceal insolvent assets. Especially it is hard to find the loans of shareholder and the same borrower sharing credit risk in advance because most of them usually use a third-party's name bank account. Therefore, in order to effectively detect the fraud under other's name, it is necessary to analyze by clustering the borrowers high-related to a particular borrower through an analysis of association between the whole borrowers. In this paper, we introduce Analysis Techniques for detecting financial loan frauds in advance through an analysis of association between the whole borrowers by extending SNA(social network analysis) which is being studied by focused on sociology recently to the forensic accounting field of the financial frauds. Also this technique introduced in this pager will be very useful to regulatory authorities or law enforcement agencies at the field inspection or investigation.