• Journal of Korean Society of Industrial and Systems Engineering
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• v.39 no.4
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• pp.40-48
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• 2016

The engineering knowledge and technology is core driving forces of continuous growth in knowledge based society. Companies, the government, and universities are the subjects of an innovation and the cooperation between them is very important. Nowadays, the main purpose of industry-university cooperation moves to train experts and develop a new product. A shift of the paradigm came from the change of recognition that the final consumers of the program are companies and the universities are supporters of the program. In this paper, we investigate the purpose, participation and satisfaction of companies to industry-academy technology cooperation through empirical studies. The need to expert training, product development and process development makes companies participate industry-academy technology cooperation and companies have different purpose of participation by the business type. Companies often feel that expert training, subsidiary purpose of industry-academy technology cooperation, is more important than product development or process development. This result is caused by the real world environment of small and mid-size companies, lacking of technology experts. The participation of companies to each technology cooperation program (technology transfer, joint technology development, consigned technology development, technology consulting, co-op. lab.) is also different by business type. The companies' satisfaction with the purpose of process development is relatively higher than that with the purpose of product development and companies show also different satisfaction value by business type and participating program. The results of this study can give a contribution to the design of demand oriented industry-academy technology cooperation model.

• Journal of the Korea Convergence Society
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• v.11 no.4
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• pp.189-193
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• 2020

In this study, the structural analysis of the track was performed according to the gap between the rails due to thermal expansion by the frictional contact between the wheels of the train in motion. The equivalent stress and total deformation at the condition for which the gap between joints are wide as the winter condition (model B) can be seen to happen more than at the summer condition (model A) in which the joints are narrow. If the results of this study are applied to the design of railway tracks, it is thought to be highly useful in preventing fatigue failure and increasing its durability. By applying the durability analysis at the seam of railroad track by season, this investigation result is seen to be favorable as the convergent research applied to the aesthetic design.

• Journal of Korea Game Society
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• v.6 no.2
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• pp.13-22
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• 2006

As the development of games continues, the intelligence of NPC is becoming more and more important. Nowadays, the NPCs of MMORPGS are not only capable of simple actions like moving and attacking players, but also utilizing variety of skills and tactics as human-players do. This study suggests a method that grants characters used in RPG(Role-Playing Game) an ability of training and adaptation using Neural network and Genetic Algorithm. In this study, a simple game-play model is constructed to test how suggested intellect characters could train and adapt themselves to game rules and tactics. In the game-play model, three types of characters(Tanker, Dealer, Healer) are used. Intellect character group constructed by NN and GA, and trained by combats against enemy character group constructed by FSM. As the result of test, the proposed intellect characters group acquire an appropriate combat tactics by themselves according to their abilities and those of enemies, and adapt change of game rule.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.37 no.2
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• pp.379-387
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• 2017

As the average load factor of High-Speed Rail (HSR) trains increased up to 98%, it caused uncomfortable crowdedness in the cabin and deteriorated the level of service to the HSR users. In this paper, we estimated the willingness-to-pay (WTP) of the HSR users for mitigating the crowdedness in the cabin. The contingent valuation method based on the stated preference data was used and the tobit model was applied for the estimation of WTP. It can be concluded that WTP for mitigating the crowdedness in the HSR trains is proportional to the congestion level of train and income level of user. Males, first-class users, not-assigned ticket users, and monthly pass users have relatively higher WTPs, while homemakers, travelers in weekends, commuters and leisure travelers have relatively lower values. The results can provide the fundamental information to estimate the benefits of mitigating crowdedness or the magnitude of governmental subsidy to railway operators for additional introduction of HSR trains.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.22 no.1
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• pp.22-28
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• 2012

While a dash panel component, close to passengers, plays a very important role to protect heat and noise from a power train, it is also a main path that transfers vibration energy and eventually radiates acoustic noise into the cavity. Therefore, it is important to provide optimal design schemes incorporating sound packages such as a dash isolation pad and a floor carpet, as well as structures. The present study is the extension of the previous investigation how design variables affect sound radiation, which was carried out using the simple plate and framed system. A novel FE-SEA hybrid simulation model is used for this study. The system taken into account is a dash panel component of a sedan vehicle, which includes front pillars, front side members, a dash panel and corresponding sound packages. Design variables such as panel thicknesses and sound packages are investigated how they are related to two main NVH indexes, sound radiation power(i.e. structure-borne) and sound transmission loss(i.e. air borne). In the viewpoint of obtaining better NVH performance, it is shown that these two indexes do not always result in same tendencies of improvement, which suggests that they should be dealt with independently and are also dependent on frequency regions.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.3
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• pp.1085-1090
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• 2011

To assure the safety of rolling stock, it is important to perform the fatigue analysis of reduction gear unit in rolling stock considering a variation of velocity and traction motor capability. This paper presents fatigue analysis of the damage of reduction gear unit of railway vehicle under variable amplitude loading(VAL) based on quasi-static fatigue analysis using finite element model and linear Miner's rule. The VAL for the simulation was constructed from the tractive effort curve and train run curves of railway vehicle under commercial operation condition using MSC.ADAMS dynamic analysis. The finite element model for evaluating the carburizing effect on the gear surface was used for predicting the fatigue life of the middle gear based on strain-life based approach. The results showed that the frequent high starting torque due to a quick start as well as increasing numbers of stops at station would decrease the fatigue life of reduction gear unit.

• Structural Monitoring and Maintenance
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• v.5 no.1
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• pp.67-78
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• 2018

The stability of cutting slope influences the safety of railway operation, and how to identify the stability of the slope quickly and determine the rational monitoring plan is a pressing problem at present. In this study, the attribute recognition model of risk assessment for high cutting slope stability in the heavy haul railway is established based on attribute mathematics theory, followed by the consequent monitoring scheme design. Firstly, based on comprehensive analysis on the risk factors of heavy haul railway loess slope, collapsibility, tectonic feature, slope shape, rainfall, vegetation conditions, train speed are selected as the indexes of the risk assessment, and the grading criteria of each index is established. Meanwhile, the weights of the assessment indexes are determined by AHP judgment matrix. Secondly, The attribute measurement functions are given to compute attribute measurement of single index and synthetic attribute, and the attribute recognition model was used to assess the risk of a typical heavy haul railway loess slope, Finally, according to the risk assessment results, the monitoring content and method of this loess slope were determined to avoid geological disasters and ensure the security of the railway infrastructure. This attribute identification- risk assessment- monitoring design mode could provide an effective way for the risk assessment and control of heavy haul railway in the loess plateau.

• Journal of Biomedical Engineering Research
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• v.30 no.4
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• pp.347-354
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• 2009

For the reliable transmission of meaningful visual information using prosthetic electrical stimulation, it is required to develop an effective stimulation strategy for the generation of electrical pulse trains based on input visual information. The characteristics of neuronal activities of retinal ganglion cells (RGCs) evoked by electrical stimulation should be understood for this purpose. In this study, for the development of an optimal stimulation strategy for visual prosthesis, we analyzed the neuronal responses of RGCs in rd1 mouse, photoreceptor-degenerated retina of animal model of retinal diseases (retinitis pigmentosa). Based on the in-vitro model of epiretinal prosthesis which consists of planar multielectrode array (MEA) and retinal patch, we recorded and analyzed multiunit RGC activities evoked by amplitude-modulated electrical pulse trains. Two modes of responses were observed. Short-latency responses occurring at 3 ms after the stimulation were estimated to be from direct stimulation of RGCs. Long-latency responses were also observed mainly at 2 - 100 ms after stimulation and showed rhythmic firing with same frequency as the oscillatory background field potential. The long-latency responses could be modulated by pulse amplitude and duration. From the results, we expect that optimal stimulation conditions such as pulse amplitude and pulse duration can be determined for the successful transmission of visual information by electrical stimulation.

• Wind and Structures
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• v.25 no.1
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• pp.63-77
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• 2017

When railway vehicles run by towers of long span bridges, the railway vehicles might experience a sudden load-off and load-on phenomenon in crosswind conditions. To ensure the running safety of the railway vehicles and the running comfort of the passengers, some studies were carried out to investigate the impacts of sudden changes of aerodynamic loads on moving railway vehicles. In the present study, the aerodynamic coefficients which were measured in wind tunnel tests using a moving train model are converted into the aerodynamic coefficients in the actual scale. The three-component aerodynamic loads are calculated based on the aerodynamic coefficients with consideration of the vehicle movement. A three-dimensional railway vehicle model is set up using the multibody dynamic theory, and the aerodynamic loads are treated as the inputs of excitation varied with time for kinetic simulations of the railway vehicle. Thus the dynamic responses of the railway vehicle passing by the bridge tower can be obtained from the kinetic simulations in the time domain. The effects of the mean wind speeds and the rail track positions on the running performance of the railway vehicle are discussed. The three-component aerodynamic loads on the railway vehicle are found to experience significant sudden changes when the vehicle passes by the bridge tower. Correspondingly, such sudden changes of aerodynamic loads have a large impact on the dynamic performance of the running railway vehicle. The dynamic responses of the railway vehicle have great fluctuations and significant sudden changes, which is adverse to the running safety and comfort of the railway vehicle passing by the bridge tower in crosswind conditions.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.4
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• pp.847-856
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• 2016

Flipped learning is a pedagogic model in which the typical lecture and homework elements of a course are reversed. Short video lectures or e-learning contents or other learning materials are viewed by students at home before the in-class session, while students are mainly carried out diverse active learning activities such as the discussions, exercises, team projects and so on in class time. Recently flipped learning has been emerging as an effective teaching-learning method that can train the 21st century talents who can create creative values based on fusion competencies. Based on the experience in applying the flipped learning to the database class that is an elective course of the school of computer engineering through three semesters, this paper proposes a flipped learning model consists of 7 steps in detail. Also, this paper analyzes the effects and weak points of the flipped learning and proposes several things for the successful flipped learning application.