• Journal of Korean Society of Forest Science
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• v.95 no.4
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• pp.459-467
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• 2006

The purpose of this study was to identify the effects of expectancy-disconfirmation (ED) of attraction affecting visitor's satisfaction in natural recreation forest (NRF). After reviewing the literature about recreational resources (RRs), facilities, ED, and visitor's satisfaction in NRF, this study analogized 11 attractions of NRF and constructed the conceptual framework. This study had obtained data through a questionnaire, which surveyed 415 visitors at 3 NRFs in 204 summer season. This study found that 1) The expectancy-performance of visitor's interesting resources is the highest among RRs, 2) There was mean difference between expectancy and performance of attraction at one percent significant level, 3) Safety facility had the highest ED value and plant resources had the lowest ED value, 4) The higher ED value of attractions, the lower value of visitor's satisfaction, 5) in multivariate analysis, such variables as physical resource, social culture resource, lodging facility, foundation facility, safety facility, sanitary facility, and education facility have been turned out be statistically significant at one percent level, 6) The relative contribution of the ED of foundation facility, lodging facility, and education facility on visitor's satisfaction have ben determined to have respectively 2.50, 1.48, and 1.88 times more important than that of physical resources.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.63
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• pp.159-184
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• 2014

Climate change is one of the biggest dangers facing all living creatures in the earth. It has been understood that emissions of greenhouse gases from human activity is the cause of climate change. Cars are responsible for around 12% of total EU emissions of CO2, the main greenhouse gas. The United Nations Framework Convention on Climate Change (UNFCCC or FCCC) is an international environmental treaty adopted at the United Nations Conference on Environment and Development (UNCED) on 9 May, 1992, which entered into force on 21 March 1994. The European Commission first adopted a Community Strategy to reduce CO2 emissions from cars in 1995. On 19 December 2007, the European Commission proposed "Proposal for Setting emission performance standards for new passenger cars to reduce CO2 emissions", which was adopted on 23 April 2009 as "Regulation (EC) No 443/2009". Prior to submitting the Proposal, the European Commission performed impact assessment and prepared impact assessment report which was reviewed by the Impact Assessment Board. The objective of this Regulation is to set emission performance standards for new passenger cars registered in the Community, which forms part of the Community's integrated approach to reducing CO2 emissions from light-duty vehicles while ensuring the proper functioning of the internal market. In the event that a manufacturer fails to meet its target, it will be required to pay an excess emissions premium in respect of each calendar year from 2012 onwards. On 11 March 2014, Regulation (EC) No 333/2014 amending Regulation (EC) No 443/2009 was adopted. Regulation (EC) No 333/2014 amends Regulation (EC) No 443/2009 to implement the modalities of meeting the 95g CO2/km target for new passenger cars to be reached in 2020. As industry benefits from indications of the regulatory regime that would apply beyond 2020, the Regulation includes a further review to take place by, at the latest, 31 December 2014.

• Journal of KIISE:Computer Systems and Theory
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• v.32 no.5
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• pp.219-231
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• 2005

Many applications in cluster computing require QoS (Quality of Service) services. Since performance predictability is essential to provide QoS service, underlying systems must provide predictable performance guarantees. One way to ensure such guarantees from network subsystems is to generate global schedules from applications'network requests and to execute the local portion of the schedules at each network interface. To ensure accurate execution of the schedules, it is essential that a global time base must be maintained by local clocks at each network interface. The task of providing a single time base is called a synchronization problem and this paper addresses the problem for system area networks. To solve the synchronization problem, FM-QoS (1) proposed a simple synchronization mechanism called FBS(Feedback-Based Synchronization) which uses built-in How control signals. This paper extends the basic notion of FM-QoS to a theoretical framework and generalizes it: 1) to identify a set of built-in network flow control signals for synchrony and to formalize it as a synchronizing schedule, and 2) to analyze the synchronization precision of FBS in terms of flow control parameters. Based on generalization, two application classes are studied for a single switch network and a multiple switch network. For each class, a synchroniring schedule is proposed and its bounded skew is analyzed. Unlike FM-QoS, the synchronizing schedule is proven to minimize the bounded skew value for a single switch network. To understand the analysis results in practical networks, skew values are obtained with flow control parameters of Myrinet-1280/SAN. We observed that the maximum bounded skew of FBS is 9.2 Usec or less over all our experiments. Based on this result, we came to a conclusion that FBS was a feasible synchronization mechanism in system area networks.

• Journal of dental hygiene science
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• v.15 no.2
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• pp.220-225
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• 2015

This study was conducted to examine O'leary index, patient hygiene performance (PHP) index, and toothbrushing practice assessment in subjects of college students in 20s who had been randomly selected. The purpose of this study is to examine if it is easy for rolling method which is recommended by many dental professionals in Korea to implement and to effectively remove dental plaque. Also, the correlations between dental plaque index and toothbrushing practice assessment with the course of time was confirmed, after instruction session on toothbrushing was provided. STATA 11.0 (StataCorp) was used for analysis. There was no significant difference on the three ways of O'leary index, PHP index, and toothbrushing practice assessment in using rolling method, bass technique and toothpick method when comparing the average resulting from first to third instruction session on toothbrushing. O'leary index, PHP index, and toothbrushing practice assessment were inspected with Kruskal-Wallis test which is used for non-parametric statistics. They were checked three times: the first, before the toothbrushing instruction was given; the second, two weeks after the toothbrushing session was given; and the third, 4 weeks after the session. The results are as follows: O'leary index stood at the lowest in the first experiment but showed the highest in the second (p=0.0001). PHP index was the highest level in the first trial and decreased in the second time, but increased again in the last examination (p=0.0001). Toothbrushing practice assessment also showed a similar tendency with PHP index (p=0.0001). In conclusion, rolling method is not the best option for everyone, and it is thought that more various toothbrushing ways need to be reviewed and recommended to people. Also, institutional framework is required for the continuous education on toothbrushing to be in place as the effectiveness of the education is decreased with time.

• Journal of Korean Society on Water Environment
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• v.31 no.2
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• pp.181-195
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• 2015

Algal blooms in lakes are one of major environmental issues in Korea. A three-dimensional, hydrodynamic and water quality model was developed and tested in Lake Euiam to assess the performance and limitations of numerical modeling with multiple algal groups using field data commonly collected for algal management. In this study, EFDC was adopted as the basic model framework. Simulated vertical profiles of water temperature, dissolved oxygen and nutrients monitored at five water quality monitoring stations from March to October 2013, which are closely related to algal dynamics simulation, showed good agreement with those of observed data. The overall spatio-temporal variations of three algal groups were reasonably simulated against the chlorophyll-a levels of those estimated from the limited monitoring data (chlorophyll-a level and cell numbers of algal species) with the RMSEs ranging from 2.6 to $17.5mg/m^3$. Also, note that $PO_4-P$ level in the water column was a key limiting factor controlling the growth of three algal groups during most of simulation period. However, the algal modeling results were not fully attainable to the levels of observation during short periods of time showing abrupt increase in algae throughout the lake. In particular, the green algae/cyanobacteria and diatom simulations were underestimated in late June to early July and early October, respectively. The results shows that better understanding of internal algal processes, neglected in most algal modeling studies, is necessary to predict the sudden algal blooms more accurately because the concentrations of external $PO_4-P$ and specific algal groups originated from the tributaries (mainly, dam water releases) during the periods were too low to fully capture the sharp rise of internal algal levels. In this respect, this study suggests that future modeling efforts should be focused on the quantification of internal cycling processes including vertical movement of algal species with respect to changes in environmental conditions to enhance the modeling performance on complex algal dynamics.

• Journal of the Korea Concrete Institute
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• v.14 no.3
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• pp.382-391
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• 2002

This study is devoted to the problems of thermal and shrinkage stresses in order to avoid cracking at early ages. The early-age damage induced by volume change has great influence on the long-term structural performance of the concrete structures such as its durability and serviceability To solve this complex problem, the computer programs for analysis of thermal and shrinkage stresses were developed. In these procedures, numerous material models are needed and the realistic numerical models have been developed and validated by comparison with relevant experimental results in order to solve practical problems. A framework has been established for formulation of material models and analysis with 3-D finite element method. After the analysis of the temperature, moisture and degree of hydration field in hardening concrete structure, the stress development is determined by incremental structural formulation derived from the principle of virtual work. In this study, the stress development is related to thermal and shrinkage deformation, and resulting stress relaxation due to the effect of early-age creep. From the experimental and numerical results it is found that the early-age creep p)ays important role in evaluating the accurate stress state. The developed analysis program can be efficiently utilized as a useful tool to evaluate the thermal and shrinkage stresses and to find measures for avoiding detrimental cracking of concrete structures at early ages.

• Korean Journal of Construction Engineering and Management
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• v.14 no.2
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• pp.65-77
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• 2013

Recent economic slump is making the construction industry's overall construction business environment worse. Contractors which are under the legal management and/or walk out are to the brink of 25 companies according to the Construction association of Korea released in 2011. It means that existing construction companies are required to transform the fundamental ideology of existing operation framework, and besides, existing companies should be transformed to service industry in order to proceed further into the developing future industries. In this study, it will be chosen the internal marketing related factor like 'Satisfying employees, internal customer, are the first thing to do in order to satisfy external customer.' which is about existing service industry field before its implementation in construction companies. In addition, appropriateness test will be performed including both interactions between each of the factors affect mutually and looking into any management improvement effects on contractors. And also, this proposal is suggested by approaching with internal marketing strategy which is both paradigm shift for customers by construction company members and another internal communication way as a means of overcoming the crisis of overall construction industry under currently happening.

• Journal of the Earthquake Engineering Society of Korea
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• v.11 no.6
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• pp.1-14
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• 2007

Optimal design method of nonlinear damping system for seismic response control of adjacent structures is studied in this paper. The objective functions of the optimal design are defined by structural response and total amount of the dampers. In order to obtain a solution minimizing two mutually conflicting objective functions simultaneously, multi-objective optimization technique based on genetic algorithm is adopted. In addition, stochastic linearization method is embedded into the multi-objective framework to efficiently estimate the seismic responses of the adjacent structures interconnected by nonlinear hysteretic dampers without performing nonlinear time-history analyses. As a numerical example to demonstrate the effectiveness of the proposed technique, 20-story and 10-story buildings are considered and MR dampers of which hysteretic behaviors vary with the magnitude of the input voltage are considered as nonlinear hysteretic damper interconnecting two adjacent buildings. The proposed approach can provide the optimal number and capacities of the MR dampers, which turned out to be more economical than the uniform distribution system while maintaining similar control performance. The proposed damper system is verified to show more stable performance in terms of the pounding probability between two adjacent buildings. The applicability of the proposed method to the design problem for optimally placing semi-active control system is examined as well.

• Journal of KIISE
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• v.42 no.1
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• pp.54-67
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• 2015

Nowadays, studies on the fusion of Semantic Web technologies are being carried out to promote the interoperability and value of sensor data in an IoT environment. To accomplish this, the semantic translation of sensor data is essential for convergence with service domain knowledge. The existing semantic translation technique, however, involves translating from static metadata into semantic data(RDF), and cannot properly process real-time and large-scale features in an IoT environment. Therefore, in this paper, we propose a technique for translating large-scale streaming sensor data generated in an IoT environment into semantic data, using real-time and parallel processing. In this technique, we define rules for semantic translation and store them in the semantic repository. The sensor data is translated in real-time with parallel processing using these pre-defined rules and an ontology-based semantic model. To improve the performance, we use the Apache Storm, a real-time big data analysis framework for parallel processing. The proposed technique was subjected to performance testing with the AWS observation data of the Meteorological Administration, which are large-scale streaming sensor data for demonstration purposes.

• The Journal of Society for e-Business Studies
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• v.24 no.3
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• pp.1-18
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• 2019

Due to the great advances in e-Marketplace and changes in type of items purchased from the online market, it has been dramatically increased the demand of the storage and transportation under the special conditions such as restricted temperature. Especially, the cold chain needs the way to transparently measure and monitor the entire network in realtime because it has a very complicated structure and requires totally different criteria at the every different steps and items. In this research, it has been presented the performance evaluation metrics to make contract using service level agreement (SLA), the way to apply the smart contract based on blockchain, the structure of blocks, service platform and application in order to build cold chain which can prevent the risk factors by measuring and sharing information in realtime using block chain technology. In addition, we have proposed the way to store the measured performance and reputation of each player in the block using smart contract based on SLA. With the presented framework, all players including service providers as well as users can secure the information for making the rational decisions. When the service platform is actually built and operated, it seems possible to secure the information in transparently and realtime. Also, it is possible to prevent the risk factors or prepare the preemptive plans to react on them.