• Management & Information Systems Review
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• v.30 no.4
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• pp.385-414
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• 2011

Fans' role and influence is becoming more extensive in these days' complex and competitive sports market. This research considers fans as internal members of sports team, employee and confirms active and voluntary fan citizenship behavior's effects on team, community, and social exchange among community residents, so that an enterprise can increase accessibility from many-sided perspectives when establishing sports marketing strategy in the future. The concept of fan citizenship behavior is set up considering characteristic of sports industry based on employee's organizational citizenship behavior discussed from the internal marketing and organization theory and preliminary studies about client citizenship behavior mentioned from service industry area. Although the sixteen research hypothesis are not fully supported. The results are summarized as follows. These findings give theoretical and marketing implication to future researcher and marketer. First, fan's positive aspect is confirmed which is different from general consumer by examining fan citizenship behavior's effect on teal value in the sports industry. Second, it was confirmed that the team needs marketing strategies about not only relationship between each individual fan, but also interaction between fans in the future. Third, it was confirmed that direct fan's behavior as well as individual fan's cognitive area have effects on team's and social value.

• Management & Information Systems Review
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• v.30 no.4
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• pp.359-383
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• 2011

One of the representative prudential regulations is the capital regulation. The current regulation and international criteria are just simply adding up the market risk and credit risk. According to the portfolio theory due to diversification effect the total risk is less than the summation of market and credit risk. This paper investigates to verify the existence of diversification effect in measuring the integrated risk of financial firm by the copula function, which is combine the different distribution maintain their propriety. The result of the test shows that in measuring the integrated risk not only the correlation and but also the proprieties of market and credit risk distribution are very important. And the tail of risk distribution is important when measuring the economic capital, especially the external impact to the financial market. This paper's contribution is that the empirical evidence in considering the relationship between market and credit risk the integrated risk is less than sum of them.

• Management & Information Systems Review
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• v.30 no.4
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• pp.45-71
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• 2011

This study aims at reviewing the effect of the non-verbal communication of salespersons at service encounter on customers' non-verbal communication and responses. The previous studies overlooked the correlation between salespersons' non-verbal communication and customers' non-verbal communication at service encounter, although non-verbal communication of salespersons has potentialities evoking customers' non-verbal communication and emotional responses in various ways. If it is a salesperson who a customer first encounters within a shop, the non-verbal communication of salesperson affects his/her non-verbal communication and these non-verbal communication affect his/her emotional responses, and these emotional responses affect his/her behavior. This phenomenon is based on the theory of emotional contagion, mimic, and face feedback. Therefore the non-verbal communication such as greetings, postures and eye-contact manners through the personal interactions between salespersons and customers, can be said to be an antecedent variable which affects the positive responses of customer. As a result of the study, the kinesic of salesperson's non-verbal communication was found to affect customers' non-verbal communication, and customers' non-verbal communication affect emotional responses experienced at service encounter, and customers' positive emotion affect customers' behavior responses. This result provides an opportunity which makes one turn eyes on salespersons' non-verbal communication at sales encounter both practically and scientifically, through introducing salespersons' non-verbal communication as an important factor which can enhance customers' positive responses but has been passed over by the previous studies.

• Journal of Physiology & Pathology in Korean Medicine
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• v.23 no.6
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• pp.1247-1260
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• 2009

This dissertation aims to study the five tastes in the Yellow Emperor's Canon of Internal Medicine. Medicinals as well as Foods are classified by the five tastes: sweet, sour, bitter, salty and pungent, which can be tasted by the tongue. With the development of the theory dealing with the medicinal properties, some flavors are summarized out of clinical actions of medicinals, therefore, there is a little difference between the flavors of medicinal herbs and the tastes got by tongue. Each taste acts on or has direct influence on a specific vital organ, and each of which has different physiologic actions. Taste also has a long-term or post digestive effect on the body and its metabolism. When each taste is consumed in moderation, it benefits the corresponding organ. Over-indulgence in any taste harms the organ and creates imbalance among the five vital organ systems. The Korean medicinal herbs with same flavor mostly possess similar actions while the medicinal herbs with different flavors show different actions in the treatment, which are shown as follows. Sour has absorbing, consolidating and astringent actions and acts on the liver. Bitter has the actions of drying or resolving dampness, purging and lowering and acts on the heart. Sweet has the nourishing, harmonizing and moistening actions and acts on the spleen. Pungent has an action of dispersing and promoting circulation of gi and blood and acts on the lungs. Salty has the effects of softening hard nodes or masses and promoting defecation, etc and acts on the kidneys. The five organ systems control and support each other. Proper coordination only exists when there is no one organ stronger or weaker than the rest. Since the five tastes have direct influences on the five organs, the diet we take should have a good combination of the five tastes in order to promote internal balance and harmony. They control our well-being and create dietary balance. Excessive consumption of any of these could result in adverse effects. In a word, when the properties of the five tastes respectively are distinguished, their natures and flavors cannot be separately considered. I think the harmonization of food and medicinals should be stressed on good nutritional diet to maintain good health. The traditional belief that food and medicine share the same origin is a part of Korean medicine tradition.

• Journal of the Korean Institute of Intelligent Systems
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• v.18 no.4
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• pp.456-462
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• 2008

The classification is that a new data is classified into one of given classes and is one of the most generally used data mining techniques. Memory-Based Reasoning (MBR) is a reasoning method for classification problem. MBR simply keeps many patterns which are represented by original vector form of features in memory without rules for reasoning, and uses a distance function to classify a test pattern. If training patterns grows in MBR, as well as size of memory great the calculation amount for reasoning much have. NGE, FPA, and RPA methods are well-known MBR algorithms, which are proven to show satisfactory performance, but those have serious problems for memory usage and lengthy computation. In this paper, we propose DPA (Dynamic Partition Averaging) algorithm. it chooses partition points by calculating GINI-Index in the entire pattern space, and partitions the entire pattern space dynamically. If classes that are included to a partition are unique, it generates a representative pattern from partition, unless partitions relevant partitions repeatedly by same method. The proposed method has been successfully shown to exhibit comparable performance to k-NN with a lot less number of patterns and better result than EACH system which implements the NGE theory and FPA, and RPA.

• Journal of the Korean Institute of Intelligent Systems
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• v.20 no.2
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• pp.165-172
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• 2010

In clinical data minig, choosing the optimal subset of features is such important, not only to reduce the computational complexity but also to improve the usefulness of the model constructed from the given data. Moreover the threshold values (i.e., cut-off points) of selected features are used in a clinical decision criteria of experts for differential diagnosis of diseases. In this paper, we propose a fuzzy discretization approach, which is evaluated by measuring the degree of separation of redundant attribute values in overlapping region, based on spatial distribution of data with continuous attributes. The weighted average of the redundant attribute values is then used to determine the threshold value for each feature and rough set theory is utilized to select a subset of relevant features from the overall features. To verify the validity of the proposed method, we compared experimental results, which applied to classification problem using 668 patients with a chief complaint of dyspnea, based on three discretization methods (i.e., equal-width, equal-frequency, and entropy-based) and proposed discretization method. From the experimental results, we confirm that the discretization methods with fuzzy partition give better results in two evaluation measures, average classification accuracy and G-mean, than those with hard partition.

• Journal of KIISE:Computer Systems and Theory
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• v.33 no.5
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• pp.306-315
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• 2006

In general, the hit ratio of the first level cache is one of the most important factors in determining the performance of computer systems. Prefetching from lower level memory structure is one of the most useful techniques for improving the hit ratio of the first level cache. In this paper, we propose a prefetch on continuous same page access (CSPA) scheme which improves the prefetch efficiency of the instruction cache and reduces prefetch cost at the same time. The proposed CSPA scheme traces the page addresses of executed instructions to count how many times the same memory page is accessed continuously. To increase the prefetch efficiency, the CSPA scheme initiates prefetch only if the number of accesses to the same page exceeds the threshold value. Generally, the size of a L1 cache block is smaller than that of a L2 cache block. Therefore, one L2 cache block contains a number of L1 cache blocks. To reduce the number of unnecessary accesses to the L2 cache due to prefetch, the CSPA scheme enables prefetch only when the missed L1 block and the prefetch L1 block are in the same L2 cache block, leading to reduced prefetch cost. According to our simulations, the proposed prefetching scheme improves the performance by up to 6.7%.

• Journal of KIISE:Computer Systems and Theory
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• v.30 no.10
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• pp.523-532
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• 2003

Video on Demand(VOD) services cause high resource consumption in a video seuer, because multimedia are characterized by continuous playback, a high bandwidth requirement, and long playback duration. Patching has been proposed to save the network I/O bandwidth of a video server. To achieve true VOD, patching uses multicasting to share video streams, thereby providing immediate VOD services to users without any service latency. A communication channel is used to either multicast the entire video as a regular channel or multicast only the leading portion of a video as a Patching channel. This paper Proposes a buffering patching technique that divides regular channels, as used in patching, into sub-regular channels and regular channels to shorten the holding time of the channels. In the proposed technique, the last portion of video data, corresponding to the size of the buffering window, is not transferred by sub-regular channels, but rather downloaded and buffered in the user buffer from the latest regular channel. When simulations were performed to compare the performance of the proposed technique with that of conventional patching, the results indicated that the proposed technique was superior in terms of the defection rate, average service latency, and fairness, although the amount of video data buffered at each user station was higher than that with patching.

• Journal of KIISE:Computer Systems and Theory
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• v.31 no.11
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• pp.626-634
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• 2004

In a client-server model, network server systems suffer from both heavy communication and computational loads. While communication channels become increasingly speedy, the existing protocol stack architectures still include mainly three performance bottlenecks of protocol stack processing, system call, and network interrupt overheads. To address these obstacles, in this paper we present a host-independent network system where a network interface card (NIC) is utilized in an efficient manner. First, by offloading network-related portion to the NIC, the host can fully utilize its processing power for other useful purposes. Second, it eliminates the system call overhead, such as context-switching and memory copy operations, since the host communicates with the NIC through its user-level libraries. Third, it a] so reduces the network interrupt operation count as the host handles the interrupt in a segment instead of a packet. The experimental results show that the proposed network system reduces the host CPU overhead for communication system by 68-71%. It also shows that the proposed system improves the communication speed by 11-83% under heavy computational and communication load conditions.

• Journal of KIISE:Software and Applications
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• v.34 no.7
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• pp.655-666
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• 2007

Reasoners using typical Tableaux algorithm such as RacerPro, Pellet have a problem in Tableaux algorithm large ABox reasoning. Researches to solve these Problems are dealt with Instance Store of University of Manchester which uses Tableaux algorithm based reasoner and DBMS and KAON2 of University of Karlsruhe using Disjunctive Datalog approach. An evaluation experiment for present reasoners is the experiment of TBox reasoning in most of Tableaux algorithm based one. The most of benchmarking tests in reasoning systems haven't done with ABox reasoning based Tableaux Algorithm but done with TBox reasoning based Tableaux Algorithm. Especially, rarely reported benchmarking tests in reasoners have been issued nowadays. Therefore, this thesis evaluates systems with theory of each reasoners for large ABox reasoning that becomes issues recently with typical reasoners. The large AoBx reasoning engine will be analyzed using Instance Store and KAON2 of Manchester University for large ABox processing. At the analysing method, LUBM(Lehigh University BenchMark), benchmarking test method, and it's test system will be introduced. In conclusion, I recommend appropriate reasoner in various environment with experiment result and characteristic of algorithm used for each reasoner.