• Journal of Information Technology Applications and Management
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• v.22 no.2
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• pp.95-112
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• 2015

Spread of internet service had a huge effect on usage and spread of SNS world widely. Variety of the service has increased from human network managing to commerce, education, payment method and so on. Also, it is expanding its service territory to not only PC area but also that of mobile equipment with development of information technology. Spread of use on SNS provides existing corporations the expansion of service area. Late SNS starter companies are advancing in diverse way for attracting users by serving shopping, games and other services with association with SNS. Therefore, analysis on consumers' thought and pattern which analyze users' demand, service's function and contents and other factors in order to reflect on plans and operations of SNS is needed. On this perspective, this research is suggesting properties that are crucially related to sustained usage of SNS and study factors of SNS's characteristics that influence trust and satisfaction on SNS and continuous usage intent of SNS.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.3
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• pp.1249-1272
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• 2016

In this paper, we propose a symmetric key establishment scheme for wireless sensor networks which tries to minimize the resource usage while satisfying the security requirements. This is accomplished by taking advantage of the communication pattern of wireless sensor networks and adopting heterogeneous wireless sensor networks. By considering the unique communication pattern of wireless sensor networks due to the nature of information gathering from the physical world, the number of keys to be established is minimized and, consequently, the overhead spent for establishing keys decreases. With heterogeneous wireless sensor networks, we can build a hybrid scheme where a small number of powerful nodes do more works than a large number of resource-constrained nodes to provide enhanced security service such as broadcast authentication and reduce the burden of resource-limited nodes. In addition, an on-demand key establishment scheme is introduced to support extra communications and optimize the resource usage. Our performance analysis shows that the proposed scheme is very efficient and highly scalable in terms of storage, communication and computation overhead. Furthermore, our proposed scheme not only satisfies the security requirements but also provides resilience to several attacks.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.5 no.10
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• pp.1712-1732
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• 2011

Cloud provides dynamically scalable virtualized computing resources as a service over the Internet. To achieve higher resource utilization over virtualization technology, an optimized strategy that deploys virtual machines on physical machines is needed. That is, the total number of active physical host nodes should be dynamically changed to correspond to their resource usage rate, thereby maintaining optimum utilization of physical machines. In this paper, we propose a pattern-based prediction model for resource provisioning which facilitates best possible resource preparation by analyzing the resource utilization and deriving resource usage patterns. The focus of our work is on predicting future resource requests by optimized dynamic resource management strategy that is applied to a virtualized data center in a Cloud computing environment. To this end, we build a prediction model that is based on user request patterns and make a prediction of system behavior for the near future. As a result, this model can save time for predicting the needed resource amount and reduce the possibility of resource overuse. In addition, we studied the performance of our proposed model comparing with conventional resource provisioning models under various Cloud execution conditions. The experimental results showed that our pattern-based prediction model gives significant benefits over conventional models.

• Korean Institute of Interior Design Journal
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• no.15
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• pp.86-93
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• 1998

An Apartment Veranda is a transitive space which is being used for many different purpose. A Rear Veranda which is connected to the kitchen is an important space for the housekeeping work and it should be planned carefully to reflect the rational and functional designs. Therefore the objective of this research is to suggest a systematic basis for the practical space planning of the Rear veranda that meets the varied needs of consumers by examining its usage pattern through the analysis of the apartment occupant's behavior pattern stored item the degree of satisfaction and consumer requirements. The research was conducted mainly on apartments built after 1990. The following are the conclusions from the research : 1. Most of the research respondents were aware of the absolute need for the Rear veranda. But they expressed dissatisfaction with the space usage. This indicates that the Rear Veranda planning does not reflect the functionality of the space and concentrates on the idea of providing consumers a service space based on the size of the apartment instead. 2. Although the Rear veranda is used as the multipurpose housework space it is mainly used as the laundry and storage space. This shows a big deviation from the concept of the utility space. Because the behavior pattern associated with the Rear Veranda is largely influenced by the traditional life pattern the development of the Rear Veranda as an exclusive space for the housekeeping work. 3. According to a high frequency of the storage of the laundry related item in the Rear Veranda indicated by the research the Rear veranda is used as the laundry room as well as a auxiliary storage space by most people. The installation of gas range is expected to increase due to the expansion of the usage function of the Rear Veranda space. The installation of a specialized refrigerator to store the traditional food is demanded. 4. Consumers need more efficient and functional storage device because the temporary shelves are often being used as the storage device. The perception of the storage device is assumed to have been influence by the traditional life style.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.11
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• pp.6856-6862
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• 2014

Web usage mining is a method to extract meaningful patterns based on the web users' log data. Most existing patterns of web usage mining, however, do not consider the users' diverse inclination but create general models. Web users' keywords can have a variety of meanings regarding their tendency and background knowledge. This study evaluated the extraction web-user's pattern after collecting and analyzing the web usage information on the users' keywords of interest. Web-user's pattern can supply a web page network with various inclination information based on the users' keywords of interest. In addition, the Web-user's pattern can be used to recommend the most appropriate web pages and the suggested method of this experiment was confirmed to be useful.

• The Journal of Korean Obstetrics and Gynecology
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• v.28 no.1
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• pp.102-112
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• 2015

Objectives: This study was performed to obtain reference data of traditional Korean medicine diagnostic methods for the practical usage in women infertility. Methods: The study involved 38 female patients of age 20-38 years that had diagnosed of infertility. All the subjects answered to pattern identification questionnaire and Questionnaire for the Sasang Constitution Classification (QSCC II). Pattern identification scores and constitution types have been analyzed with variables of infertility factors and age. Statistical analysis was performed by adopting descriptive and inferential tests. Results: In pattern identification questionnaire analysis, the patterns were observed in order of frequency: liver stasis; blood deficiency; kidney-yang deficiency; kidney-yin deficiency; damp-heat; blood stasis; and phlegm. The group, less than 35 years old, had the higher average score of liver stasis (p<0.05). Also, the group with tubal and peritoneal factors, had the higher average score of blood deficiency (p<0.05). In QSCC II analysis, So-yang type had the higher average score of liver stasis, kidney-yang deficiency, and kidney-yin deficiency. So-eum type had the higher average score of liver stasis, kidney-yang deficiency, kidney-yin deficiency, and blood deficiency. While, Tae-um type had the higher average score of liver stasis and phlegm. Conclusions: We would accumulate the clinical data for the practical usage of traditional Korean medicine diagnostic methods in women infertility.

• Herbal Formula Science
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• v.27 no.1
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• pp.73-86
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• 2019

Objectives : In spite of the difficulty of getting Agarwood, the number of species of wild Agarwood is rapidly decreasing by insistent demands. Here, we investigate how various formula of Agarwood is used so that we can make use of them more helpful in clinics today. Methods : Determining the range of 'the Sovereign and Minister' component more than 12.96%" or 'equally used', this study distinguished whether Agarwood is used as 'the Sovereign and Minister' component among 409 Agarwood formulas in "Sheng ji zong lu(聖濟總錄)" and 103 Agarwood formulas in "Donguibogam (東醫寶鑑)". Additionally, we analyzed the component ratio of Agarwood, and also the usage in Deficiency-Excess pattern. Results : Among Agarwood formulas in "Sheng ji zong lu" and "Donguibogam", each percentage of Agarwood formulas which Agarwood comprises 'the Sovereign and Minister' component was 26%(106/406) and 13%(13/99). Analyzing these formulas of "Sheng ji zong lu", 53 formulas were used in Deficiency pattern and other 53 formulas were used in Excess pattern. Also in "Donguibogam", 6 formulas were used in each Deficiency pattern and Excess pattern, and only 1 formula in both of Deficiency and Excess pattern. Conclusions : Showing almost equal ratio of usage in Deficiency-Excess pattern, this study showed that those Agarwood formulas of "Sheng ji zong lu" and "Donguibogam" which Agarwood comprises 'the Sovereign and Minister' component can be used in both Deficiency-Excess pattern evenly.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.4
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• pp.1489-1503
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• 2018

Spectrum reuse has attracted much concern of researchers and scientists, however, the dynamic spectrum access is challenging, since an individual secondary user usually just has limited sensing abilities. One key insight is that spectrum usage forecasting among secondary users, this inspiration enables users to obtain more informed spectrum opportunities. Therefore, spectrum usage forecasting is vital to cognitive radio networks (CRNs). With this insight, a spectrum usage forecasting model for the occurrence of primary users prediction is derived in this paper. The proposed model is based on auto regressive enhanced primary user emergence reasoning (AR-PUER), which combines linear prediction and primary user emergence reasoning. Historical samples are selected to train the spectrum usage forecasting model in order to capture the current distinction pattern of primary users. The proposed scheme does not require the knowledge of signal or of noise power. To verify the performance of proposed spectrum usage forecasting model, we apply it to the data during the past two months, and then compare it with some other sensing techniques. The simulation results demonstrate that the spectrum usage forecasting model is effective and generates the most accurate prediction of primary users occasion in several cases.

• The KIPS Transactions:PartB
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• v.9B no.4
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• pp.389-390
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• 2002

It is important that acquire information about if customer has some habit in electronic commerce application of internet base that led in recommendation service for customer in dynamic web contents supply. Collaborative filtering that has been used as a standard approach to Web personalization can not get rapidly user's preference change due to static user profiles and has shortcomings such as reliance on user ratings, lack of scalability, and poor performance in the high-dimensional data. In order to overcome this drawbacks, Web usage mining has been prevalent. Web usage mining is a technique that discovers patterns from We usage data logged to server. Specially. a technique that discovers Web usage patterns and clusters patterns is used. However, the discovery of patterns using Afriori algorithm creates many useless patterns. In this paper, the enhanced method for the construction of dynamic user profiles using validated Web usage patterns is proposed. First, to discover patterns Apriori is used and in order to create clusters for user profiles, ARHP algorithm is chosen. Before creating clusters using discovered patterns, validation that removes useless patterns by Dempster-Shafer theory is performed. And user profiles are created dynamically based on current user sessions for Web personalization.

• Applied Biological Chemistry
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• v.36 no.6
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• pp.525-532
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• 1993

To characterize the prolamines in rice cultivars, the complete coding sequences of 17 prolamine genes from the database were analyzed. According to the phylogenic analysis of the sequences, these genes could be classified into 4 groups, Group I to IV. The multiple alignment of the deduced amino acid sequences revealed that the four groups differ from one another in chain length caused by deletion of short internal amino acids or carboxyl terminal fragments. Each group was also found to have different amino acid composition with 1, 4, 10 and 30% of sulfur containing amino acids (methionine and cysteine) in Group I to IV prolamines, respectively. Also the isoelectric points of these groups showed the different values of 9.2, 8.2, 6.7 and 7.4. Finally, from the analysis of codon usage pattern of prolamine genes, the codon usage for arginine, serine, threonine, isoleucine, asparagine, aspartic acid, glutamic acid and cysteine were higly biased. In the analysis of the codon usage pattern, the relation of the fraction of G/C ending codons to effective codon numbers suggests the different translational efficiency in the expression of the prolamine multigenes.