• Journal of the Economic Geographical Society of Korea
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• v.24 no.4
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• pp.386-399
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• 2021

This study targets the rapidly growing electric vehicle industry. Currently, China is the world's largest electric vehicle producer, and several global and local companies are adapting to the transition environment of the electric vehicle industry and carrying out various activities. To analyze the causes and environmental characteristics of this transition, we analyzed the activities of the Chinese government, automobile companies, and companies in forward and backward linked industries, which are major actors in the production network. As a result, with full support from the Chinese government, functional changes of existing actors and an increase in the entry of new actors resulted in a transition to an electric vehicle industry space accompanied by new values.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.05a
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• pp.471-473
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• 2013

This paper is analyzing the situation of the electric vehicle Industry and draw the policy implications to promote electric vehicle industry. Major automobile makers as GM, BMW, Nissan, Audi produce various electric vehicles. But in recent times, only few electric vehicle sold in the world. So, many automobile makers gave up the production of electric vehicles. and the fuel-cell vehicle will replace the electric vehicle as a environment car in the future. We should take the build up of eco system between vehicle makers and the small parts companies, construction of battery charging infrastructure, promotion of standardization activities, and the government's support to revive the electric vehicle industry.

• Journal of Climate Change Research
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• v.8 no.1
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• pp.41-50
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• 2017

As serious consequences of climate change became indisputable, vehicles based on fossil fuel has to be shifted toward more sustainable way to drastically reduce carbon emissions. Eco-friendly vehicles contribute mitigating climate change through reducing the greenhouse gas emissions. The goal of this research is to find ways to promote the eco-friendly vehicle industry in Korea. In order to achieve this goal, surveys are collected from the professionals of eco-friendly vehicle industry, and analyzed through Delphi method. Results show that the first thing is to promote the eco-friendly vehicle market by introducing the economic incentives. The second thing is to allow more emission credit for eco-friendly vehicle manufacturers. The third thing is to build more concrete infrastructure for the eco-friendly vehicles. The increase of the number of the electric or hydrogen charging system would be one of the good examples of the infrastructure. The fourth thing is that the government supports the research & development of eco-friendly vehicles. The fifth is to regulate that the government agency is mandatory to use the eco-friendly vehicles. The sixth thing is to provide the low-carbon certification for eco-friendly vehicles. The seventh thing is to support advertising the eco-friendly vehicles. The results from this research can be used as a guideline to make policies to stimulate the eco-friendly vehicle industry in Korea.

• Journal of the Ergonomics Society of Korea
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• v.36 no.3
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• pp.231-244
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• 2017

Objective: This study aims to understand the occupational injury characteristics of the workers in the motor vehicle parts (automobile parts) manufacturing industry and to present basic guidelines on accident prevention through accident analysis. Background: There occur many occupational injuries in the motor vehicle parts manufacturing industry. But there were few researches for the occupational injuries of the workers in the motor vehicle parts manufacturing industry. Method: This study analyzed the data of occupational injuries of 1,609 workers in the motor vehicle parts manufacturing industry in 2015. The accident characteristics were analyzed by dividing them into worker related factors and accident related factors. Results: Among the occupational injuries of the workers in the motor vehicle parts manufacturing industry, 80.6% of the victims were males, 64.0% were older than 40. 57.8% of the victims were employed by the companies with less than 50 workers. In addition, there was a difference in accident characteristics according to age, work experience, employment type, events or exposures, accident time of the day, agents, natures of injuries and illnesses, injured organs and injured body part. Conclusion: It is important to prevent equipment/machinery accidents. For this purpose, more efforts should be made to establish safety measures faithful to the basics of safety devices and safety work procedures. It is also suggested that prevention of disasters should be intensively carried out for workplaces with less than 50 employees and middle-aged and elderly people. Application: The result can be used to present guidelines for preventative measures for the workers in the motor vehicle parts manufacturing industry including safety education/training.

• Journal of the Korean Society of Industry Convergence
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• v.22 no.5
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• pp.575-582
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• 2019

Advanced driving assist system can support safety of driver and passengers which may require vehicle dynamics states as well as road geometry. It is essential to have in real-time estimation of related variables and parameters. Among the road geometry parameters, road slope angle which can not be measured is essential parameter in pose estimation, adaptive cruise control and others on sag road. In this paper, Kalman filter based method for the estimation of the vehicle dynamics and road slope angle using a nonlinear vehicle model is proposed. It uses a combination of Kalman filter as Cascade Extended Kalman Filter. CEKF uses measured vehicle states such as yaw rate, longitudinal/lateral acceleration and velocity. Unknown vehicle parameters such as center of gravity and inertia are obtained by 2 D.O.F lateral model and experimentally. Simulation and Experimental tests conducted with commercialized vehicle dynamics model and real-car.

• Journal of Technology Innovation
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• v.30 no.2
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• pp.1-27
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• 2022

In recent years, the autonomous vehicle industry has changed drastically. So the needs and interests in predicting future technologies and market prospects of the autonomous vehicle field have been very increased. However, considering the characteristics of the automotive industry, which has various factors, complex correlation of them and big influence on each other, the study of systematic future forecasting methodologies are urgent and necessary which are applicable to autonomous vehicle industry. In this research, the two methods such as "Field Anomaly Relaxation" and "Multiple Perspective Concept" were analyzed and chosen, which are suitable to automotive industry. By the combination of two methods this research developed and examined the three future scenarios related to core technologies and industry trends. And these scenarios feasibility was verified by experts and evaluation checklist. This research has a contribution that this future scenario forecasting approach can be applied to the industries which have various volatility like the autonomous vehicle industry.

• Journal of Mechanical Science and Technology
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• v.16 no.9
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• pp.1175-1182
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• 2002

The commercial viability of heat exchanger is mainly dependent on its long-term fouling characteristic because the fouling increases the pressure loss and degrades the thermal performance of a heat exchanger. An experimental study was performed to investigate the characteristics of fluid flow and heat transfer in a fluidized bed heat exchanger with circulating various solid particles. The present work showed that the higher densities of particles had higher drag force coefficients, and the increases in heat transfer were in the order of sand, copper, steel, aluminum, and glass below Reynolds number of 5,000.

• Journal of Auto-vehicle Safety Association
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• v.9 no.4
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• pp.20-25
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• 2017

Dynamo based vehicle inspection device is end of line device for automobile industry. The device is utilized as implementing vehicle functionality inspection such as brake force, cruise control, kick-down acceleration, CAN inspection. As dynamo based inspection device is broadly adopted in automobile industry, the dynamic study is required to verify the vehicle test equipment reliability. This research recommends appropriate dynamic brake force inspection procedure and theoretical background for developed equipment. Dynamic characteristic of brake force implementation to roller is simplified. With simplified characteristics, the indirect brake force measurement strategy is developed and adopted. Comparison of each brake force result, the appropriate brake force inspection criterion is given.

• Journal of Korea Society of Digital Industry and Information Management
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• v.10 no.1
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• pp.73-79
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• 2014

In this study, the unmanned vehicle to develop a preliminary step, we were facilities for Automated Guided Vehicle (AGV) simulator is designed and implemented. Industry is increasingly the more advanced automation and management systems need to be efficient. These studies are at least 24-hour continuous unmanned vehicles and personnel can result in reduction of labor costs. In addition, safety accidents can be minimized in the industry as an effect of intelligent AGV is essential. This study is the initial step for the development of AGV. manufactured simulator to Simulation and drives the performance of the system is evaluated. The configuration of the simulator, ultrasonic sensors, infrared sensors, and using the obstacle were to follow a given path. In addition, two-way communication between the host computer and the main processor that was. communication method that IEE802.11 meets the standard is applied to high-speed wireless LAN systems, each of the sensor information is calculated. AGV having a drive shaft 4 of the four wheels are respectively independent structure. AGV's main processor is driven using a high-performance DSP, and the controller controls the steering device of the load could be significantly reduced.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.2
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• pp.800-813
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• 2021

With the advent of 5G communications, internet of vehicles technology has been widely used in vehicles. Then the dynamic spread of information between vehicles began to come into focus with more research. It is well known that the identification of nodes with great spread influence has always been a hot topic in the field of information spreading. Most of the existing work measures the propagation influence by degree centrality, betweenness centrality and closeness centrality. In this paper, we will identify influential vehicle nodes based on the mobility characteristics of vehicles to explore the information spreading between vehicles in VANETs. Different from the above methods, we mainly explore the influence of the radius of gyration and vehicle kilometers of travel on information spreading. We use a real vehicle trajectory data to simulate the information transmission process between vehicles based on the susceptible-infected-recovered SIR model. The experimental results show that the influence of information spreading does not enhance with increasing radius of gyration and vehicle kilometers of travel. The fact is that both the radius of gyration and the distance travelled have a significant influence on information spreading when they are close to the median. When the value of both is large or small, it has little influence on information spreading. In view of this results, we can use the radius of gyration and vehicle kilometers of travel to better facilitate the transmission of information between vehicles.