• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.4
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• pp.1442-1462
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• 2014

Packet classification is a key technology of the Internet for routers to classify the arriving packets into different flows according to the predefined rulesets. Previous packet classification algorithms have mainly focused on search speed and memory usage, while overlooking update performance. In this paper, we propose PreCuts, which can drastically improve the update speed. According to the characteristics of IP field, we implement three heuristics to build a 3-layer decision tree. In the first layer, we group the rules with the same highest byte of source and destination IP addresses. For the second layer, we cluster the rules which share the same IP prefix length. Finally, we use the heuristic of information entropy-based bit partition to choose some specific bits of IP prefix to split the ruleset into subsets. The heuristics of PreCuts will not introduce rule duplication and incremental update will not reduce the time and space performance. Using ClassBench, it is shown that compared with BRPS and EffiCuts, the proposed algorithm not only improves the time and space performance, but also greatly increases the update speed.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.41 no.10
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• pp.87-96
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• 2004

These days, it is essential that a business-class hotel provide customers with Internet service. So the most hotels have been installing facilities actively for Internet service. Businessmen also want to use Internet service level to their own office or home in hotel room. But now TV and VoD(partial) based-on CATV in hotel is supplied, and the additional network are installed for Internet service. The existing TV also must be replaced to HDTV within 2 or 3 years. The objective of this paper is to implement the next generation hotel multimedia service system using xDSL technology, VLAN mapping technology, and QoS technology. This system can provide each room in hotel with high-quality video service and Internet service simultaneously, and can also supply Internet access service using wireless LAN for the Places, such as lobby, conference room, and coffee shop in hotel. Therefore, this system can create the new market in hotel multimedia service field by connecting xDSL technology to VLAN mapping technology for charging and QoS technology for video stream transmission.

• Proceedings of the KOSOMBE Conference
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• v.1997 no.11
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• pp.168-171
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• 1997

The purpose of this study is the development of PBL(problem-based learning) system using visual C++5.0 as a window-based application program. A patient who complains of weight loss was used in PBL case. Initial frame is made by dialog-based in MFC(microsoft foundation class). Also, sample medical images are composed of ultra-sound, chest PA, Thyroid scan, otherwise. we will make this program as CD-ROM and the internet application or computer assisted learning and continuous medical education.

• Journal of Internet Computing and Services
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• v.6 no.5
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• pp.97-110
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• 2005

Recently, many WMS(Web Map Services) and POI(Point of Interest) services come to be in service on the Internet using Web GIS(Geographic Information System) as Information Technology and computer H/W are evolved faster in its speed, network bandwidth and features. The Web GIS is, however, limited and constrained on the specification of its system configuration, the service class provided and the presentation methodology of a map. As the mobile Internet becomes popular in mobile service, Web GIS service on mobile environment is strongly required and to be provided by location based WMS(Web Map Service) on a mobile client such as PDA with location information of the user. In this paper, we made an effort to design and implement a GIS computing environment by thin client for mobile web map service. For implementing the thin client GIS computing environment. we were using NGII's(National Geographic Information Institute's) DXF map, representing the map by SVG(Scalable Vector Graphics) recommended by OGC(OpenGis Consortium), and adapting standard XML web service to provide the thin client GIS service on PDA by applying the location information of the user in realtime with GPS on mobile environment.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.4
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• pp.1942-1950
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• 2013

This paper suggests a new method of detecting attacks of network traffic by visualizing original traffic data and applying multi-class SVM (support vector machine). The proposed method first generates 2D images from IP and ports of transmitters and receivers, and extracts linear patterns and high intensity values from the images, representing traffic attacks. It then obtains variance of ports of transmitters and receivers and extracts the number of clusters and entropy features using ISODATA algorithm. Finally, it determines through multi-class SVM if the traffic data contain DDoS, DoS, Internet worm, or port scans. Experimental results show that the suggested multi-class SVM-based algorithm can more effectively detect network traffic attacks.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.27 no.12C
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• pp.1197-1206
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• 2002

Recently, the research on the construction of optical Internet backbone networks using WDM has been actively progressed. In this paper, we propose the offset based service-differentiation scheme in optical burst switching (OBS) networks. We classify the services into two classes; high class and low class. The proposed scheme decides the offset time of high class so as to satisfy the required burst loss rate (BLR) of services according to the service-differentiation ratio (SDR). The SDR may be set depending on the environment of OBS network and user's requirements, our scheme decides the BLR of high class by using the required SDR and conservation law. Finally, we use the offset time decision (OTD) algorithm to determine the offset time of high class. The proposed scheme is evaluated through simulation. The result of simulation is compared with that of analysis to verify the proposed scheme.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• v.9 no.2
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• pp.426-430
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• 2005

The computer practicing class advances to reach the ultimate goal of learning through the comprehensive learning of theory. Moreover, the improved function and environment of computer makes it easy for students to access a variety of information. However, students are likely to get into the internet and other things mainly for fun during the computer practicing class, and the multi-tasking may distract the concentration of students and degrade their performance. Computers for practice purpose need to be controlled to minimize such distraction. In this dissertation, we monitor and control computers which are used by students for the purpose of practicing, realize the function of transfer and deletion of file, whole shutdown of computer and screen capture. We also applied the class based on current way and realized program, and assigned the practice work on the basis of what was learned during the class. We intend to understand the relation between the concentration of students and their performance by assigning practice work related to survey after the class, capture file and log file

• Journal of Internet Computing and Services
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• v.18 no.1
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• pp.131-141
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• 2017

This paper analyzed class satisfaction and perceived learning achievement to the interaction type on e-learning in university. To achieve the study's objective, one course with and another course without learner-instructor interactions were selected. A total of184 student-respondents completed the questionnaire. Accordingly, more learner-content and learning-system interactions were noted in the course with learner-instructor interactions. Moreover, a correlation was observed between interaction, class satisfaction, and learning achievement. Learner-instructor interactions indicated the highest effect on both educational satisfaction and perceived learning achievement, followed by learner-system interactions on class satisfaction, and by learner-instructor interactions on learning achievement. Recommendations were then formulated based on the foregoing findings. First, workshops or training focusing on content development and on how to present the course should be provided to the instructors. Second, learner-instructor interactions should be activated in the course through various means. In this study, although learner-learner interactions was not given focus, future studied should delve into how learner-learner interaction should be activated and considered.

• Journal of Digital Convergence
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• v.16 no.11
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• pp.29-36
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• 2018

As the digital informatization society deepens, the digital divide of the information - underprivileged becomes increasingly serious social problem. In this study, we analyzed the relationship between digital informatization capacity and satisfaction level of leisure activity in low - income class. For the analysis, we analyzed the relationship between digital informatization level and leisure satisfaction level of the low income class based on the results of the digital information gap survey in 2017. As a result, it was found that there was a positive relationship between digital access and leisure activity satisfaction, such as having a wired / wireless information device at low socioeconomic level and availability of Internet access at all times. Second, digital information capacity level and leisure satisfaction level such as PC usage ability and mobile digital device utilization ability have positive (+) relationship. Third, the level of digital information utilization, such as the use of fixed and mobile Internet, also showed a positive (+) relationship with the leisure satisfaction level of the low income class. This suggests that it is necessary to provide various supports to resolve the digital divide between the low income class and the general public.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.6
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• pp.2996-3011
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• 2017

With rapid growth of web technology and dissemination of smart devices, social networking service(SNS) is widely used. As a result, huge amount of data are generated from SNS such as Twitter, and sentiment analysis of SNS data is very important for various applications and services. In the existing sentiment analysis based on the $Na{\ddot{i}}ve$ Bayes algorithm, a same number of attributes is usually employed to estimate the weight of each class. Moreover, uncountable and meaningless attributes are included. This results in decreased accuracy of sentiment analysis. In this paper two methods are proposed to resolve these issues, which reflect the difference of the number of positive words and negative words in calculating the weights, and eliminate insignificant words in the feature selection step using Multinomial $Na{\ddot{i}}ve$ Bayes(MNB) algorithm. Performance comparison demonstrates that the proposed scheme significantly increases the accuracy compared to the existing Multivariate Bernoulli $Na{\ddot{i}}ve$ Bayes(BNB) algorithm and MNB scheme.