• KIISE Transactions on Computing Practices
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• v.21 no.12
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• pp.768-773
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• 2015

Emergence events are the cause of much economic damage. In order to minimize the damage that these events cause, it must be possible to predict what will happen in the future. Accordingly, many researchers have focused on real-time monitoring, detecting events, and investigating events. In addition, there have also been many studies on predictive analysis for forecasting of future trends. However, most studies provide future tendency per event without contextual compositive analysis. In this paper, we present a predictive visual analytics system using topic composition to provide future trends per event. We first extract abnormal topics from social media data to find interesting and unexpected events. We then search for similar emergence patterns in the past. Relevant topics in the past are provided by news media data. Finally, the user combines the relevant topics and a new context is created for contextual prediction. In a case study, we demonstrate our visual analytics system with two different cases and validate our system with possible predictive story lines.

• Earthquakes and Structures
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• v.8 no.4
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• pp.859-887
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• 2015

Structural health monitoring (SHM) has gained in popularity in recent years since it can assess the performance and condition of instrumented structures in real time and provide valuable information to the asset's manager and owner. Operational modal analysis plays an important role in SHM and it involves the determination of natural frequencies, damping ratios and mode shapes of a constructed structure based on measured dynamic data. This paper presents the operational modal analysis and seismic response characterization of the Tsing Ma Suspension Bridge of 2,160 m long subjected to different earthquake events. Three kinds of events, i.e., short-distance, middle-distance and long-distance earthquakes are taken into account. A fast Bayesian modal identification method is used to carry out the operational modal analysis. The modal properties of the bridge are identified and compared by use of the field monitoring data acquired before and after the earthquake for each type of the events. Research emphasis is given on identifying the predominant modes of the seismic responses in the deck during short-distance, middle-distance and long-distance earthquakes, respectively, and characterizing the response pattern of various structural portions (deck, towers, main cables, etc.) under different types of earthquakes. Since the bridge is over 2,000 m long, the seismic wave would arrive at the tower/anchorage basements of the two side spans at different time instants. The behaviors of structural dynamic responses on the Tsing Yi side span and on the Ma Wan side span under each type of the earthquake events are compared. The results obtained from this study would be beneficial to the seismic design of future long-span bridges to be built around Hong Kong (e.g., the Hong Kong-Zhuhai-Macau Bridge).

• Journal of the Korea Institute of Information Security & Cryptology
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• v.28 no.6
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• pp.1489-1497
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• 2018

Web application services have diversified. At the same time, research on intrusion detection is continuing due to the surge of cyber threats. Also, As a single-defense system evolves into multi-level security, we are responding to specific intrusions by correlating security events that have become vast. However, it is difficult to check the OS, service, web application type and version of the target system in real time, and intrusion detection events occurring in network-based security devices can not confirm vulnerability of the target system and success of the attack A blind spot can occur for threats that are not analyzed for problems and associativity. In this paper, we propose the validation of effectiveness for intrusion detection events using TF-IDF. The proposed scheme extracts the response traffics by mapping the response of the target system corresponding to the attack. Then, Response traffics are divided into lines and weights each line with an TF-IDF weight. we checked the valid intrusion detection events by sequentially examining the lines with high weights.

• Journal of the Korea Society of Computer and Information
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• v.26 no.2
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• pp.221-227
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• 2021

In this paper, we tried to explore factors influencing the diffusion of online events through SNS by analyzing the online footprint of consumers. To this end, log data of online events conducted by "C" beer brands were collected and analyzed. The analysis unit of log data was set for each one hour, and the analyzing method used descriptive and regression analysis. Results are as follows. First, factors influencing the diffusion of the view of SNS-based online events were like, friend used coupon, and friend size. In particular, the size of friends had the greatest impact on the diffusion, which again suggests the importance of social hubs in online events. Second, factors influencing the diffusion of the number of inflows were also like, friend used coupon, and size of friends. Third, it was found that the number of reply did not affect the diffusion of views and inflows. This study is meaningful that it suggested an alternative plan to increase the effect of online events by using real data.

• Journal of Intelligence and Information Systems
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• v.15 no.3
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• pp.103-118
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• 2009

To face with the fast and ever changing telecommunication environments, we need a real time process management system that can detect abnormal events in real time and warn the suspicious events to operations personnel. Additionally, a real time process management system can be adapted fast to various services that are developed by telecom companies. In this paper we develop a real time process management system to monitor and analyze telecom operations and management processes in real time. Toward this, we design application and database architectures of telecom operations and management processes based on Enhanced Telecom Operations Map (eTOM) that is business process framework in telecommunication operations and management field and recognized as an international standard in ITU-T M.3050. With these application and databasearchitectures we implement eight main functions for the real time process management system based on service oriented architecture. Therefore, new services can be applied to these functions fast. Also, the functions can detect abnormal event fast. Finally, since the functions are developed along with the international standard, the system has the flexibility for the development in various situations. Overall, this research can be a good guideline of developing a process management system regarding the telecom operations and management field or other fields that need to manage the processes in real time.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.27 no.7C
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• pp.685-695
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• 2002

In this paper, we propose a RRS(real resource simulator) that supports the development and operational test of network management system before the development of real resources. The components of the RRS are the MOT(Managed Object Table) that holds the current status information of real resources, the SDT(Simulation Data Table) that holds the characteristics of real resources defined by user, the support functions that generate the random values and random interval values, the scheduling table that holds the sequence of events, and the main kernel. Users can set up behaviors of the RRS by extended-GDMO description. We present the structure of our extended-GDMO compiler and activities of RRS. We also show the interaction between user and the RRS, interaction between the RRS and the agent, and interaction among the NMS, the agent and the RRS.

• Journal of the Korea Society of Computer and Information
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• v.22 no.10
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• pp.109-119
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• 2017

In recent through development of IOT owing to that mass stream data is being generated in variety of application complex event processing technology is being watched with keen interest as a technology to analyze this kind of real-time continuous data. However, the existing study related with complex event processing only comes to an end at simple event processing based on low-level event or comes to an end at service defect discovery with providing limited operator and so on. Accordingly, there would be limitation to provide useful analysis information. In this paper in consideration of complex event along with aspect-oriented programming an extended complex event model is provided, which is possible to provide more valuable and useful information. Specifically, we extend the model to support hierarchical event structures and let the model recognize point-cuts of aspect-oriented programming as events. We provide the event operators designed to specify the events on instances and handle temporal relations of the instances. It is presented that syntax and semantics of constructs in our event processing language including various and progressive event operators, complex event pattern, etc. In addition, an event context mechanism is proposed to analyze more delicate events. Finally, through application studies application possibility of this study would be shown and merits of this event model would be present through comparison with other event model.

• The Journal of the Korea Contents Association
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• v.6 no.5
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• pp.42-55
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• 2006

In most multimedia systems, the environment is considered as a passive background. In virtual environment simulating real world, however, terrain affects many events such as wind, rain, cloud. Therefore, it is necessary to model terrain and meteorological phenomenon in order to simulate realistic virtual environment. In those modeling, not only height and location information but also environmental factors such as temperature and humidity are important. An event is composed of many activities and subevents based on causality and consists of precondition , procedure and effects. Each part of an event is formulated in terms of a number of parameter variables, which correspond to its associated factors on existence or states of entities and relation. This paper represents terrain and environmental factor using contour map. Moreover, we define various events and their procedures in terms of causality in virtual environment.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.955-966
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• 2020

The purpose of this study is to find out how SNS marketing activities affect brand recognition, brand familiarity, and purchase intention for consumers who have purchased products from franchise chicken stores, including whether there is a moderating effect according to gender. SNS marketing activities were set up by configuring three attributes which are, SNS advertising, SNS information, and SNS events as sub-factors. For empirical analysis, a survey was conducted on SNS users, and SPSS/AMOS statistical programs were employed for the data analysis. First, the result of the empirical analysis showed that SNS advertising, SNS information, and SNS events have a significant positive effect on brand recognition. Second, it was found that the SNS events had a significant positive effect on brand familiarity. Third, it was found that SNS advertising has a significant positive effect on purchase intention. Fourth, it was observed that brand recognition has a significant positive effect on brand familiarity. Fifth, it was found that brand recognition and brand familiarity have a significant positive effect on purchase intention. Sixth, it was found that gender plays a significant role in the relationship between these constructs. Therefore, it can be assumed that the hypothesis presented in this study is sufficiently proven.

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.5 no.1
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• pp.19-24
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• 1993

With the use of Supercomputer and engineering workstations, high quality computer graphic representation of the modeling of marine process is feasible. In this wort major tsunami events occurred during recent years were simulated by numerical models and the computed water levels were viewed as three-dimensional surfaces in an animated sequence. Photorealistic images are constructed by advanced rendering technique with light reflection and shadows. It has demonstrated that video animation of numerical results reproduced the behaviour of propagation of real tsunami events remarkably well.