• ETRI Journal
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• v.38 no.4
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• pp.714-723
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• 2016

Considerable attention has been given to processing graph data in recent years. An efficient method for computing the node proximity is one of the most challenging problems for many applications such as recommendation systems and social networks. Regarding large-scale, mutable datasets and user queries, top-k query processing has gained significant interest. This paper presents a novel method to find top-k answers in a node proximity search based on the well-known measure, Personalized PageRank (PPR). First, we introduce a distribution state transition graph (DSTG) to depict iterative steps for solving the PPR equation. Second, we propose a weight distribution model of a DSTG to capture the states of intermediate PPR scores and their distribution. Using a DSTG, we can selectively follow and compare multiple random paths with different lengths to find the most promising nodes. Moreover, we prove that the results of our method are equivalent to the PPR results. Comparative performance studies using two real datasets clearly show that our method is practical and accurate.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 1994.10a
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• pp.183-190
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• 1994

The paper provides a review of the analysis methods currently being used to perform seismic analysis of free standing high density spent fuel storage racks for PWR. On the basis of the analysis techniques obtained by KAERI from the design experience of Yonggwang unit 3&4 and Ulchin unit 3&4, the analysis procedure and modeling methods are discussed. The analysis of free standing fuel racks requires consideration of complex phenomena such as hydrodynamic coupling, impact through gap between fuel assembly and poison box and racks, frictional effect, rigid body sliding and tipping and etc. The present modeling of these factors is reviewed in comparison with the recommendation of regulatory group. Further improvement of analysis method and the current issues for the development are discussed.

• Journal of Digital Convergence
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• v.10 no.2
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• pp.287-292
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• 2012

In this paper, user personalized services through the emotion perception required to support location-based sensing data preprocessing techniques and emotion data preprocessing techniques is studied for user's emotion data building and preprocessing in V-A emotion model. For this purpose the granular context tree and string matching based emotion pattern matching techniques are used. In addition, context-aware and personalized recommendation services technique using probabilistic reasoning is studied for personalized services based on context awareness.

• Journal of the Korean Institute of Telematics and Electronics S
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• v.34S no.7
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• pp.39-47
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• 1997

The mission of the TTC system is to acquire and process the telemetry data from the satellite and to provide mission planning and satellite control for the target stellite system. In this paper, the transmission scheme for the Tracking, Telemetry and Command(TTC) system of satelliteis described and determined according to the recommendation of CCSDS, and the channel characteristics are analyzed according to modulation method. Expecially, we introduced the concepts of carrier vs. telemetry data power ratio which causes the channel performance to degrade, and analyzed the effects of transmission performance according to the power ratio of carrier vs. telemetry data and the modulation index. The channel of the LEO TTC sytem is different with usual satellite communication system. So, we have generalized the link budget of TTC sytem for using the link budget of ground station well-known and proposed the determination method of modultion indices for improveing channel performance.

• KDI Journal of Economic Policy
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• v.39 no.3
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• pp.1-18
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• 2017

The anchoring effect can be found when a decision shows cognitive prejudice towards the initial information given. Several studies have argued that such an effect is present even for judges in the courtroom. This paper seeks to find a relationship between judges' decisions on penalty sentences and the sentences recommended by prosecutors. In this study, 2,773 actual court cases are considered in the analysis, and quantile regression is used to show that the sentencing decisions judges make are anchored by the recommendations of prosecutors. However, this reliance on recommendations differs according to the seriousness of the crime committed. Specifically, at the lowest penalty levels, a one-month increase in the prosecutors' sentencing recommendation results in a 0.25-month increase in the judges' sentence, while at the highest sentence level, the judges' sentences increase by 0.78 months under an identical condition. The results of this research indicate the need to create more objective and clear sentencing guidelines in the future in an effort to mitigate the psychological pressure experienced by judges with regard to serious offences or heinous crimes.

• Journal of Navigation and Port Research
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• v.40 no.5
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• pp.329-336
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• 2016

The overall purpose of this paper is to conduct research on alternatives for strengthening the competitiveness of a state-run shipping company, Vinalines Corporation, the largest shipping and maritime enterprise in Vietnam. The first section of the introduction gives a panoramic overview of the current development situation of the Vietnam maritime industry and Vinalines. After summarizing a literature review in section 2, some alternatives are proposed in sections 3 and 4 to overcome the current difficulties of Vinalines and to improve the corporation's competitiveness for sustainable development by utilizing linear optimization and financial analysis. The final section presents a summary and recommendation for future study. It is concluded that privatization is the key solution for every problem faced by the corporation at present. Furthermore, modification of laws, restructuring of enterprise governance, financial situation, and fleet are also extremely necessary.

• Journal of the Korean Institute of Telematics and Electronics S
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• v.34S no.12
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• pp.1-9
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• 1997

The signaling protocol for B-ISDN should support variety of services including point-to-pont single-connection call, point-to-point multi-connection call and point-to-multipoint connection call. an efficient signaling protocol for point-to-point multi-connection call based on ITU-T Recommendation Q.298X is presented in this paper. Sequential establishment of madatory and optional connections and common routing scheme for synchronization, along with separation of information elements for establishement of multi-connection call are included in the proposed signaling protocol. Limited network resources can be used more efficiently by proposed sequential establishement of mandartory and optional connection for point-to-point multi-connection call which can provide multimedia services. And common routing can be provided effectively by proposed common routing scheme for connectios requiring synchronization like as video-phone and video-conference.

• Journal of the Korean Data and Information Science Society
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• v.27 no.2
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• pp.539-548
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• 2016

This paper is a study on the multivariate CUSUM control charts using three different control statistics for monitoring covariance matrix. We get control limits and ARLs of the proposed multivariate CUSUM control charts using three different control statistics by using computer simulations. The performances of these proposed multivariate CUSUM control charts have been investigated by comparing ARLs. The purpose of control charts is to detect assignable causes of variation so that these causes can be found and eliminated from process, variability will be reduced and the process will be improved. We show that the charts based on three different control statistics are very effective in detecting shifts, especially shifts in covariances when the variables are highly correlated. When variables are highly correlated, our overall recommendation is to use the multivariate CUSUM control charts using trace for detecting changes in covariance matrix.

• Journal of the Korean Data and Information Science Society
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• v.19 no.3
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• pp.851-865
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• 2008

Recently, the Web 2.0 and RSS techniques have gained enormous attention in the Internet and e-Learning fields. In this paper, we design a RSS system on the Web 2,0 base for e-Learning, and implement the educational RSS information sharing system for back-to-basic curriculum of secondary schools that is called EduRSS. Our EduRSS can create web feed file with RSS format from learning blogs for back-to-basic curriculum, and share it with other users conveniently. In addition, it also provide the recommendation function to improve the reliability of the RSS feed resources.

• Journal of the Korean Data and Information Science Society
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• v.19 no.3
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• pp.819-830
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• 2008

Web recommender system was suggested in order to solve the problem which is cause by overflow of information. Collaborative filtering is the technique which predicts and recommends the suitable goods to the user with collection of preference information based on the history which user was interested in. However, there is a difficulty of recommendation by lack of information of goods which have less popularity. In this paper, it has been researched the way to select the sparsity of goods and the preference in order to solve the problem of recommender system's sparsity which is occurred by lack of information, as well as it has been described the solution which develops the quality of recommender system by selection of customers who were interested in.