• Journal of the Korean Society of Safety
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• v.39 no.1
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• pp.62-69
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• 2024

Ensuring swift on-site access to fire engines is crucial in preserving the golden time and minimizing damage. However, various mobility constraints in alleyways hinder the timely entry of fire engines to the fire scene, significantly impairing their initial response capabilities. Therefore, this study analyzed the significant mobility constraints of fire engines, focusing on Seoul, which has many old town areas. By leveraging survey responses from firefighting experts and actual observations, this study quantitatively assessed the frequency and severity of mobility constraint factors affecting the disaster responses of fire engines. Survey results revealed a consistent set of top five factors regarding the frequency and disturbance level, including illegally parked cars, narrow paths, motorcycles, poles, and awnings/banners. A comparison with actual road-view images showed notable consistency between the survey and observational results regarding the appearance frequency of mobility constraint factors in vulnerable areas in Seoul. Furthermore, the study emphasized the importance of tailored management strategies for each mobility constraint factor, considering its characteristics, such as dynamic or static. The findings of this study can serve as foundational data for creating more detailed fire safety maps and advancing technologies that monitor the mobility of fire engines through efficient vision-based inference using CCTVs in the future.

• Journal of the Korea Society of Computer and Information
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• v.25 no.1
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• pp.141-149
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• 2020

The proportion of commercial vehicles currently used by the private sector among the vehicles operated by the military is very high at 58% and plans to increase further in the future. As the proportion of commercial vehicles in the military has increased, it is also an important issue to determine whether to disuse of commercial vehicles. At present, the decision of disuse of commercial vehicles is subjectively judged by vehicle technical inspector using design life and vehicle usage information. However, the difference according to the military operation environment is not reflected and objective judgment criteria are not presented. The purpose of this study is to develop a model to determine the disuse status of commercial vehicles in consideration of military operating environment. The data used in the study were 1,746 commercial vehicles of three types: cars, vans and trucks. Using the information of the operating area, climate characteristic, vehicle condition the decision model of disuse status was constructed using the classification machine learning technique. The proposed decision model of disuse status has an average accuracy of about 97% and can be used in the field. Based on the results of the study, the policy suggestions were proposed in the short and long term to improve the performance of decision model of disuse status of commercial vehicles in the future and to establish a new data construction method within the logistics information system.

• Archives of design research
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• v.18 no.4 s.62
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• pp.129-138
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• 2005

Until the early part of the 1990s, interior design has never been thought important by car makers. Repeated attempts have been made to systemize a technical structure, such as layout, driving method, and size, and the car's interior design has been developed by in simple comparison with the exterior design. In the 1990s, however, this trend began to change because consumers began spending more time in their cars, so the motive of the technology development became that of giving comfort and functional satisfaction to the customers. Observing how a person spends inside his or her car and considering the latest trends in car interiors have made a consumer-oriented sense of value i.e., intensifying the personality of the car's interior design and considering the emotional makeup of the consumer factor in the acquisition of a strategic brand identity. These days, car interiors assume a new concept every year due to the constant change in various factors, and the application of a high-tech design, with a sensing function and a navigation system, to achieve driverless running, is being raised as a key trend element technology for the future. Now, at the present when multilateral concept applications of design are attempted under the direct influences from other fields such as product design, fashion and furniture, I would like to lay stress on investigating and analysing the changes in car interior design varying with the background of the times and formative characteristics from the object point of view. On this study, I would like to compare the background of the times and flow of car interior design with priority given to crash pad and would like to attempt to present the direction of the future car interior design together with diversifying major technical factors.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.17 no.4
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• pp.49-59
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• 2017

Smart sensing plays a key role in a variety of IoT applications, and its importance is growing more and more together with the development of artificial intelligence. Therefore the importance of smart sensors cannot be overemphasized. However, most studies related to smart sensors have been focusing on specific application purposes, for example, security, energy saving, monitoring, and there are not much effort on researches on how to efficiently configure various types of smart sensors to be needed in the future. In this paper, a component-based framework with hierarchical structure for efficient construction of smart sensor is proposed and its application to smart home is designed and implemented. The proposed method shows that various types of smart sensors to be appeared in the near future can be configured through the design and development of necessary components within the proposed software framework. In addition, since it has a layered architecture, the configuration of the smart sensor can be expanded by inserting the internal or external layers. In particular, it is possible to independently design the internal and external modules when designing an IoT application service through connection with the external device layer. A small-scale smart home system is designed and implemented using the proposed method, and a home cloud operating as an external layer, is further designed to accommodate and manage multiple smart homes. By developing and thus adding the components of each layer, it will be possible to efficiently extend the range of applications such as smart cars, smart buildings, smart factories an so on.

• Journal of Digital Convergence
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• v.17 no.12
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• pp.159-170
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• 2019

This study is an online survey for consumers in the metropolitan areas of Japan and Korea, which are advanced countries in Asia, and the maturity of the automobile market. The purpose of this study is to compare the results of Korea and Japan. As a result of this study, we analyzed the differences between the consumer characteristics and the optional attribute factors of low-carbon automobiles of Korea. There was a difference. It was found that the factors of low carbon car selection attribute differed with age, and that stability was more important when selecting low carbon car as income level increased. In Japan, there were no differences in the selection attribute factors of low carbon cars by gender, age and income. In addition, there is no difference in the relationship between the future purchase timings of low-carbon car types in both Korea and Japan. Implications of this study Korea has a meaningful result that Korea tends to select low-carbon automobiles with an emphasis on economic aspects and ages, and that safety tends to emphasize safety of low-carbon automobiles according to income levels. In the case of low carbon car, there was a tendency to select a low carbon car without any difference in consumer characteristics. The relationship between the expected purchase time according to the type of low carbon car and the Korean car show that the preferred car within the next 10 years among the low carbon car types is electric car and Japan prefers hybrid car.

• The Journal of the Korea Contents Association
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• v.19 no.3
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• pp.520-529
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• 2019

This study is intended to provide basic data for health management of firefighters in the future by empirically looking into health hazard factors of firefighters in Busan City. It was revealed that firstly, the danger of harmful chemicals in a fire was perceived the most by firefighters, who extinguish a fire in person on the scene of a fire, and it was followed by the danger of falling while putting out a fire. This study is intended to provide basic data for health management of firefighters in the future by empirically looking into health hazard factors of firefighters in Busan City. It was revealed that firstly, the danger of harmful chemicals in a fire was perceived the most by firefighters, who extinguish a fire in person on the scene of a fire, and it was followed by the danger of falling while putting out a fire. Moreover, the danger of shift work was perceived the most by paramedics. This corresponds to the existing studies arguing that shift work is harmful to health. Next, the overload of patient transport was recognized as the second biggest hazard factor. This demonstrates they are worried about various second accidents that may happen due to a lot of patient transport works. In addition, the possibility of causing a traffic accident was perceived as a hazard factor too, since they must drive ambulance cars quickly to transport patients. Lastly, rescue workers regarded these hazard factors to be most dangerous. This is associated with their occupational characteristics, because rescue workers are the closest to diverse risks including a fire.

• Journal of Korea Technology Innovation Society
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• v.21 no.3
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• pp.1155-1178
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• 2018

Future automobiles are evolving into movable living spaces capable of eco-friendly autonomous driving. The role of electrically processing, controlling, and commanding various information in the vehicle is essential. It is expected that the automotive semiconductor will play a key role in the future automobile such as self-driving and eco-friendly automobile. In order to foster the automotive semiconductor industry, it is necessary to grasp technology trends and to acquire technology and quality that reflects the requirements in advance, thereby achieving technological innovation with industrial competitiveness. However, there is a lack of systematic analysis of technology trends to date. In this study, we analyzed the technology trends of automotive semiconductors using patent analysis and topic model, and confirmed technologies such as electric cars, driving assistance, and digital manufacturing. The technology trends showed that element technology and technical characteristics change according to technology convergence, market needs, and government regulations. Through this research, it is expected that it will help to make R&D policy for automotive semiconductor industry and to make decision for industrial technology strategy establishment. In addition, it is expected that it will be used effectively in detail research direction and patent strategy establishment by providing detailed classification of technology and trend analysis result of technology.

• Journal of Korean Library and Information Science Society
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• v.52 no.1
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• pp.155-178
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• 2021

In the era of the 4th industrial revolution, public libraries need a strategy for promoting intelligent library services in order to actively respond to changes in the external environment such as artificial intelligence. Therefore, in this study, based on the concept of artificial intelligence and analysis of domestic and foreign artificial intelligence related trends, policies, and cases, we proposed the future direction of introduction and development of artificial intelligence services in the library. Currently, the library operates a reference information service that automatically provides answers through the introduction of artificial intelligence technologies such as deep learning and natural language processing, and develops a big data-based AI book recommendation and automatic book inspection system to increase business utilization and provide customized services for users. Has been provided. In the field of companies and industries, regardless of domestic and overseas, we are developing and servicing technologies based on autonomous driving using artificial intelligence, personal customization, etc., and providing optimal results by self-learning information using deep learning. It is developed in the form of an equation. Accordingly, in the future, libraries will utilize artificial intelligence to recommend personalized books based on the user's usage records, recommend reading and culture programs, and introduce real-time delivery services through transport methods such as autonomous drones and cars in the case of book delivery service. Service development should be promoted.

• Journal of the Korean Society for Railway
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• v.15 no.4
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• pp.408-412
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• 2012

Recently, new climate change mechanism after 2020 year has been accepted with the parties, and so government is pushing ahead the GHG reduction policies to achieve the effective results. Especially, it is essential to enhance the role of railroad in the public traffic system as well as to develop new cars with high energy efficiency for the GHG reduction of transportation sector. Thus, the calculation method of GHG emission of railroad should be established to manage the emission continuously. In this study, the calculation method of GHG emission of railroad was defined with Tier level considering its emission sources to refer to 2006 IPCC guideline for national GHG inventories. Also, the GHG emission of railroad at Tier 1 level was investigated using the activity data related to the amount of diesel and electricity consumption from 2008 to 2010. As a result, total GHG emission in 2010 was about 2,060 thousands ton CO2e, which have 73% of electricity and 27% of diesel. In future, the plans on the GHG reduction of railroad will be accomplished by the analysis of the detailed trends on the basis of the emission management of Tier 3 level under operating patterns. Therefore, it is important to develop the specific GHG emission factors of railroad in advance.

• The Journal of the Korea Contents Association
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• v.14 no.4
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• pp.37-46
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• 2014

Industrialization and urbanization have led automobiles to transform into more than just modes of transportation; they have become daily necessities as well as extensions of living spaces where a variety of activities can be done and automotive applications of the latest information technology are accelerated. Though material abundance has increased in the modern society, the conflicts and the stress emerging from a social structure focused on competition have increased as well. Such lifestyles generate a need for personal space and media content for healing the body and the mind. This research explores the automotive application of video content with the goal of refreshing the minds of the passengers. To this end, previous studies have investigated the emotional effect of videos, focusing on the responses of diverse groups of adults (age group of 20 to 60) who frequently used automobiles, which had video displays installed in them. The results showed that watching video contents on a full window inside a car influenced the creation of positive feelings7 and emotional satisfaction. The research attempts to study the methods of providing video contents and the effects of watching them that could aid the emotional well-being of passengers, and presents the possibility of emotional satisfaction created by a convergence of cars and multimedia contents in the future.