• Transactions of the Korean Society of Automotive Engineers
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• v.9 no.3
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• pp.60-67
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• 2001

As a method of variable valve train(VVT), Electro-Mechanical Valve(EMV) has been studied. Compared with conventional VVT system, the EMV system has a relatively simple structure. The system has two electromagnets, springs and an armature. The system can be operated by reciprocal action between armature and two electromagnets. And, the operating event can be controlled by electrical signal from controller. Therefore, reduction of emission and fuel consumption can be achieved through valve event control at each engine operating condition. In this study, characteristics of EMV system were investigated by simulations and experiments. The results of simulation and experiment show that the core shape and material characteristics are dominant parameters on magnetic force and delay time. In order to apply the system to commercial engine, it has a compact size and high stiffness springs(50N/mm) to increase the valve speed. Because of high valve seating velocity, loud noise and high impact force generated, which can lead to reduction of actuator durability. Therefore, further research is required to reduce valve seating velocity.

• Smart Structures and Systems
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• v.6 no.1
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• pp.29-38
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• 2010

An ElectroMagnetic Actuator (EMA) is designed and assessed numerically and experimentally. The EMA has the advantage to be without contact with the structure so it could be applied to light and small mechanism. Nevertheless, the open-loop instability and the nonlinear dynamic behavior with respect to the excitation frequency could limit its application field. The EMA is designed and dimensioned as a function of the experimental structure to be controlled. An inverse model of the EMA is proposed in order to implement a linear action block for the used frequency range. The control strategy is a fuzzy controller with displacements and velocities as inputs. A fuzzy controller of Takagi-Sugeno type is used. The air gap is estimated by using a modal approximation of the displacements issued from all measurements. Several configurations of control are assessed by using numerical simulations. The block diagram used for numerical simulations is implemented under Dspace$^{(R)}$ environment. The implemented controller was tested experimentally in the context of impact perturbations. The results obtained show the effectiveness of the developed procedures and the robustness of the implemented control.

• Journal of Distribution Science
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• v.18 no.2
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• pp.29-38
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• 2020

Purpose: Finding out major factors on motivation to purchase Korean products through the analysis of overseas direct purchase in China and through empirical analysis, strategic implications or specific action plans and significance of the overseas direct purchase are investigated out. Research design, data, and methodology: In the process, to make more effective analysis, several analysis tools and analysis programms are used, IBM SPSS Statistics 23.0 and IBM SPSS AMOS 23.0 with 264 questionnaires. Conclusions: Among the factors of the overseas direct purchase, all variables (product diversity, brand image, information validity, convenience, easy payment) are available on satisfaction and repurchase intention. They have affirmative impacts on the satisfaction and repurchase intention. And the satisfaction has a positive impact on the repurchase intention. The brand images and the product diversity of Korean products can induce consumers to visit again and improve managerial performance. In the future, the brand image and ways of purchasing behaviors improve the truthfulness of consumers. Results: The significance of this study is to find out 5 key factors through overseas direct purchase. And we should try to apply the implications drawn from the findings as marketing strategy. So finally we should focus on widening, enlarging and enriching China market gradually.

• Hwankyungkyoyuk
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• v.20 no.4
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• pp.1-11
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• 2007

The purpose of this study is to develope energy eco-audit evaluation scheme for the sustainable energy management at schools in accordance with education for sustainable development. Energy eco-audit evaluation scheme was developed through critical review of preexisting evaluation methods, consensus searching for the process from field. The results of this study are as follows. The school energy eco-audit evaluation scheme has three criteria: data collection, energy program, and environmental review. First, criteria of data collection includes general affairs, school building construction, and energy use. Second, criteria of energy program stresses school administration system such as the democratic decision-making process and structures. Third, criteria of environmental review includes reporting process and preparing teaching/learning materials for sustainable energy management. In conclusion, school energy eco-audit evaluation scheme could find a new way to achieve extended effect for sustainable energy management in school. It also could continue to seek opportunities to raise their awareness of energy issue and environment. School committee and whole school are involved to continue to implement present action plan and prepare updated plan in order to reduce environmental impact in school. By doing so, it would be possible to play important role in both school administration and education for sustainable development.

• IEIE Transactions on Smart Processing and Computing
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• v.5 no.6
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• pp.430-439
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• 2016

Estimation and analysis of traffic jams plays a vital role in an intelligent transportation system and advances safety in the transportation system as well as mobility and optimization of environmental impact. For these reasons, many researchers currently mainly focus on the brilliant machine learning-based prediction approaches for traffic prediction systems. This paper primarily addresses the analysis and comparison of prediction accuracy between two machine learning algorithms: Naïve Bayes and K-Nearest Neighbor (K-NN). Based on the fact that optimized estimation accuracy of these methods mainly depends on a large amount of recounted data and that they require much time to compute the same function heuristically for each action, we propose an approach that applies multi-threading to these heuristic methods. It is obvious that the greater the amount of historical data, the more processing time is necessary. For a real-time system, operational response time is vital, and the proposed system also focuses on the time complexity cost as well as computational complexity. It is experimentally confirmed that K-NN does much better than Naïve Bayes, not only in prediction accuracy but also in processing time. Multi-threading-based K-NN could compute four times faster than classical K-NN, whereas multi-threading-based Naïve Bayes could process only twice as fast as classical Bayes.

• Journal of Preventive Medicine and Public Health
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• v.48 no.6
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• pp.265-270
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• 2015

The recent Middle East respiratory syndrome coronavirus (MERS-CoV) outbreak has originated from a failure in the national quarantine system in the Republic of Korea as most basic role of protecting the safety and lives of its citizens. Furthermore, a number of the Korean healthcare system's weaknesses seem to have been completely exposed. The MERS-CoV outbreak can be considered a typical public health crisis in that the public was not only greatly terrorized by the actual fear of the disease, but also experienced a great impact to their daily lives, all in a short period of time. Preparedness for and an appropriate response to a public health crisis require comprehensive systematic public healthcare measures to address risks comprehensively with an all-hazards approach. Consequently, discussion regarding establishment of post-MERS-CoV improvement measures must focus on the total reform of the national quarantine system and strengthening of the public health infrastructure. In addition, the Korea Centers for Disease Control and Prevention must implement specific strategies of action including taking on the role of "control tower" in a public health emergency, training of Field Epidemic Intelligence Service officers, establishment of collaborative governance between central and local governments for infection prevention and control, strengthening the roles and capabilities of community-based public hospitals, and development of nationwide crisis communication methods.

• Korean Journal of Adult Nursing
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• v.25 no.3
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• pp.263-274
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• 2013

Purpose: Clinical nurses are at high risk of incurring hospital violence during their working life. Hospital violence and its outcomes have an impact on the job satisfaction, the recruitment and retention of nurses as well as the quality of care delivered to patients. The purpose of this study was to identify coping styles toward hospital violence in clinical nurses using Q-methodology. Methods: Q-methodology, which analyzes the subjectivity of each type of attitude, and coping styles was used. The 40 selected Q-statements from each of 35 participants were classified into the shape of a normal distribution using a 9-point scale. The collected data were analyzed using the pc-QUANAL program. Results: The results revealed four discrete groups of clinical nurses toward hospital violence: take strong action and promote the recurrence prevention, appear psychosomatic symptoms, investigate the cause and focus on prevention, and request hospital assistance and keep up my duty. Conclusion: The findings indicate that development of nursing intervention program based on the four types could beneficially contribute to the violence prevention in hospital.

• Korean Journal of Applied Biomechanics
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• v.21 no.1
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• pp.9-16
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• 2011

The purpose of this study is to analyze the effects of both various shoe types and bare feet on ground reaction force while walking. Ten first-year female university students were selected. A force platform(Kistler, Germany) was used to measure ground reaction force. Six types of shoe were tested: flip flops, canvas shoes, running shoes, elevated forefoot walking shoes, elevated midfoot walking shoes, and five-toed shoes. The control group was barefooted. Only vertical passive/active ground reaction force variables were analyzed. The statistical analysis was carried out using the SAS 9.1.2 package, specifically ANOVA, and Tukey for the post hoc. The five-toed shoe had the highest maximum passive force value; while the running shoe had the lowest. The first active loading rate for running shoes was the highest; meanwhile, bare feet, the five-toed shoe, and the elevated fore foot walking shoe was the lowest. Although barefoot movement or movement in five toed shoes increases impact, it also allows for full movement of the foot. This in turn allows the foot arch to work properly, fully flexing along three arches(transverse, lateral, medial), facilitating braking force and initiating forward movement as the tendons, ligaments, and muscles of the arch flex back into shape. In contrast movement in padded shoes have a tendency to pound their feet into the ground. This pounding action can result in greater foot instability, which would account for the higher loading rates for the first active peak for padded shoes.

• Proceedings of the Korean Institute of Surface Engineering Conference
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• 2017.05a
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• pp.81-81
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• 2017

Nanotechnology is of great importance to molecular biology and medicine because life processes are maintained by the action of a series of molecular nanomachines in the cell machinery. Recent advances in nanoscale materials that possess emergent physical properties and molecular organization hold great promise to impact human health in the diagnostic and therapeutic arenas. In order to be effective, nanomaterials need to navigate the host biology and traffic to relevant biological structures, such as diseased or pathogenic cells. Moreover, nanoparticles intended for human administration must be designed to interact with, and ideally leverage, a living host environment. Inspired by nature, we use peptides to transfer biological trafficking properties to synthetic nanoparticles to achieve targeted delivery of payloads. In this talk, development of nanoscale materials will be presented with a particular focus on applications to three outstanding health problems: bacterial infection, cancer detection, and traumatic brain injury. A biodegradable nanoparticle carrying a peptide toxin trafficked to the bacterial surface has antimicrobial activity in a pneumonia model. Trafficking of a tumor-homing nanoprobes sensitively detects cancer via a high-contrast time-gated imaging system. A neuron-targeted nanoparticle carrying siRNA traffics to neuronal populations and silences genes in a model of traumatic brain injury. Unique combinations of material properties that can be achieved with nanomaterials provide new opportunities in translational nanomedicine. This framework for constructing nanomaterials that leverage bio-inspired molecules to traffic diagnostic and therapeutic payloads can contribute on better understanding of living systems to solve problems in human health.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2016.05a
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• pp.259-260
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• 2016

Recently, world-wide focusing on the interest for the reduction of greenhouse gas emissions associated with climate change and global warming, South Korea also has set up a national greenhouse gas reduction target and action plans seeking to achieve them. In particular, in the construction area, to encourage green building certification of the building and carbon labeling acquisition of building products, in order to reduce the environmental impact caused by the industrial activities have been in steady efforts. Therefore, this study estimates the life cycle carbon footprint of building construction materials applied to carbon emissions reduction technology and analyzes the results. Through the CO₂ emissions analysis in construction phase and maintenance phase of the building, it provides basic resource for future research expansion and establishes a step-by-step whole life cycle carbon emissions reduction plan in new construction and existing buildings.