• Journal of Internet Computing and Services
• /
• v.14 no.5
• /
• pp.39-48
• /
• 2013

A cloud system has to deal with highly variable workloads resulting from dynamic usage patterns in order to keep the QoS within the predefined SLA. Aside from the aspects regarding services, another emerging concern is to keep the energy consumption at a minimum. This requires the cloud providers to consider energy and performance trade-off when allocating virtualized resources in cloud data centers. In this paper, we propose a resource provisioning approach based on dynamic thresholds to detect the workload level of the host machines. The VM selection policy uses utilization data to choose a VM for migration, while the VM allocation policy designates VMs to a host based on its service reputation. We evaluated our work through simulations and results show that our work outperforms non-power aware methods that don't support migration as well as those based on static thresholds and random selection policy.

• Science of Emotion and Sensibility
• /
• v.12 no.1
• /
• pp.19-32
• /
• 2009

Recently emotional relationships between industrial products and user experience are getting more attention than ever. However, current user interface design has focused just on the mechanical and logical aspects. This research proposed a new approach to improve user's emotional experience to interface design and introduced storytelling as a new possibility. Four types of user interface - logical interface, picture added interface, storytelling-applied interface, and storytelling-applied interface with a story script - were used for this research. Eighty college students participated in this research. Each participant was randomly assigned to one of four types of user interfaces. Additionally, their individual differences in affect intensity were measured. he results show that users reported more emotional experience in the storytelling-applied interface and storytelling-applied interface with a story script than the logical interface and just picture added interface. The results also suggest that the higher satisfaction was experienced for the storytelling-applied interface. And all those results are differentiated by the users' affect intensity. The users who have higher affect intensity expressed heavier emotional experience and deeper satisfaction for the storytelling-applied interface.

• Journal of the Korean Society of Food Culture
• /
• v.20 no.6
• /
• pp.638-643
• /
• 2005

As Korea has approached the aging society, older Koreans have become an important force in restaurant sales today. To succeed with this silver market, it is important for restaurant managers to know who they are and what factors influence older Koreans' eating-out decision making process. The purpose of this study was to investigate the effect of the silver consumers' education level on eating-out decision making process. Data were collected from 178 older consumers above 55 years old and analyzed using the descriptive statistic analysis, MANOVA, and one-way ANOVA. The results showed that the elderly consumers' education level significantly influenced the decision making process in determining where to eat out. Significant differences were found in the Problem Recognition Step(Wilks' Lambda=0.817, F=2.991), Information Search Step(Wilks' Lambda=0828, F=2.218), Alternative Evaluation Step II(Wilks' Lambda=0.741, F=3.596), Purchase Decision Step(Wilks' Lambda=0.859, F=2.223), and the Post-Purchase Behavior(Wilks' Lambda=0.885, F=1.780). The higher education level was, the more directly involved in the eating out decision process. The elderly consumers with university education were likely to 'propose to eat out by themselves'(F=9.346), to obtain restaurant information from the 'printed materials'(F=7.452), to go to 'family restaurant'(F=9.057), 'Japanese restaurant'(F=8.7891) and 'fine dining restaurants'(F=3.936), and to directly express their emotion when they had complaints about restaurant service(F=3.206). In conclusion, older Koreans will become more healthy and wealthy which means the dining out activity will be an important part of their life to socialize with people. Therefore, food service operations should consider the elderly consumers' needs and expectation of restaurant services and actively position themselves for this new market segment.

• Journal of the korean academy of Pediatric Dentistry
• /
• v.40 no.1
• /
• pp.11-20
• /
• 2013

The prevalence and interest of dental erosion seems to be rising in children all over the world. Thus, This study was performed to investigate the prevalence and severity of dental erosion in the primary molars at terminal stage nearing exfoliation, and associated risk factors. An examination was performed on 788 children using modified Linkosalo & Markkanen system, and questionnaires were gained. Association between dental erosion and the risk factors were statistically analyzed with chi-squared test and logistic regression analysis at a significance level of p < 0.05. As a result, 213 children (27%) showed dental erosion, and the mandibular left first primary molar was the most influenced tooth. According to the analysis of risk factors, frequent intake of carbonated drinks and fruit juices showed significant development of erosion (p < 0.05), and using straw for drinking fruit juices showed significant a reduction of erosion (p < 0.05).

• Journal of the Korea Society of Computer and Information
• /
• v.13 no.6
• /
• pp.137-145
• /
• 2008

In general, a large-scale wireless sensor network(WSNs) is composed of hundreds of or thousands of sensor nodes. In this large-scale wireless sensor networks, it is required to maintain and manage the networks to lower management cost and obtain high energy efficiency. Users should be provided with sensing service at the level of quality for users through an efficient system. In evaluating the result data quality provided from this network to users, the number of sensors related to event detection has an important role. Accordingly, the network protocol which can provide proper QoS at the level of users demanding quality should be designed in a way such that the overall system function has not to be influenced even if some sensor nodes are in error. The energy consumption is minimized at the same time. The protocol suggested in this article is based on the LEACH protocol and is a role-based self-Organization one that is appropriate for large-scale networks which need constant monitoring.

• The Korean Journal of Mycology
• /
• v.42 no.2
• /
• pp.144-149
• /
• 2014

Lentinula edodes liquid spawn growth under explosive aeration (supplying air with tiny bubbles) and soybean meal addition to liquid culture medium were investigated in terms of mycelial growth and residual free sugar content. The two treatments were effective for homogeneous culturing of mycelial spawn and for separating colonies during multiplication after an exponential growth period without limiting sustaining nitrogen nutrients. The mycelial growth and carbon dioxide concentration were greatest on the 13th day since the inoculation. At 12th day, however, free sugars were almost depleted in the upper part of the liquid medium. Total nitrogen content within precipitated mycelia was the highest at the 13th day. Chitin and sucrose contents in the mycelia were the highest at the 18th day, but ergosterol content became highest at 22 days. These results suggest that Lentinula edodes liquid spawn is ready in 18 days after inoculation.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2015.10a
• /
• pp.1085-1089
• /
• 2015

Text-mining technique in the past had difficulty in realizing the analysis algorithm due to text complexity and degree of freedom that variables in the text have. Although the algorithm demanded lots of effort to get meaningful result, mechanical text analysis took more time than human text analysis. However, along with the development of hardware and analysis algorithm, big data technology has appeared. Thanks to big data technology, all the previously mentioned problems have been solved while analysis through text-mining is recognized to be valuable as well. However, applying text-mining to Korean text is still at the initial stage due to the linguistic domain characteristics that the Korean language has. If not only the data searching but also the analysis through text-mining is possible, saving the cost of human and material resources required for text analysis will lead efficient resource utilization in numerous public work fields. Thus, in this paper, we compare and evaluate the public document classification by handwork to public document classification where word frequency(TF-IDF) in a text-mining-based text and Cosine similarity between each document have been utilized in big data environment.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2013.10a
• /
• pp.743-746
• /
• 2013

Most of existing simulator for wireless sensor networks (WSNs) models the battery-based sensor and provides the MAC and routing protocols designed for the battery-based WSNs. Recently, however, as the energy harvesting sensor systems are studied widely, the require of the simulator for them is getting increased; but the related work is insignificant. Unlike the existing simulators, the simulator for the energy-harvesting WSNs requires the new energy model which is integrated with the energy-harvesting model, rechargeable battery model and energy-consuming model. Additionally, it should provide the well-known MAC and routing protocols designed for the energy-harvesting WSNs, and also provide the user-friendly interface for the convenient usage. In this work, we analysis the existing Castalia simulator and revise it for the user-friendly simulator for the solar energy harvesting WSNs.

• Food Science and Preservation
• /
• v.11 no.4
• /
• pp.491-495
• /
• 2004

Consumers were tend to purchase more natural sweeting materials then atificial sweeting materials because of safety and the consumed amount of natural sweeting material was increased sharply with consumers concern to health. The proper harvest time with changes of sweeting material contents was investigated in the purpose of cultivation and utilization on functional foodstuff, Soluble solid content and extraction yield were increased with growth priod, but pH was decreased. Color value, transmittance and browning color showed little. L, a, b values was changed a little. Stevioside ratio($68.97\%$) in sweetness components was decreased to $61.09\%$. Rebaudioside A ratio was increased from $20.83\%\;to\;27.52\%$ stevioside contents was maximized to $12.80\%$ of August. The highest sweetening potencies of stevia leaves was 2530times to sugar. The stevia leaves harvested at May showed the best deliciousness.

• Environmental and Resource Economics Review
• /
• v.12 no.3
• /
• pp.515-529
• /
• 2003

This theoretical model makes three contributions to the study on economic growth and environment. First, emissions are generated during final goods production and technology accumulation. Second, this paper assumes that pollution is directly increasing with increase in final goods output or in consumption. Third, we use reproducible factors associated with labor and capital input in production function and assume constant return to scale in reproducible factors. From growth rate condition we derived, increases in reproducible factors, increases in productivity of either the abatment or technology sector, and decrease in social discount rate would increase the sustainable growth rate. In empirical test, the environmental degradation did not effect the economic growth rate though other factors satisfied the growth rate condition equation. However, through the reinterpretation of this result, we found indirectly the fact of that an inverted U relationship between air pollution and economic growth rate would exist in 20 OECD countries using a panel data for the period of 1986~1995.