• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.21 no.6
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• pp.21-35
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• 2022

With the support of local and central governments, various incentive policies for "green" cars have been established, and the number of electric vehicle users has been rapidly increasing in recent years. As a result, much attention is being given to establishing a user-centered charging infrastructure. A standard for the number of electric vehicle chargers to be supplied is being prepared based on building characteristics, but there is quite limited research on the appropriate ratio of slow and fast chargers based on the characteristics of each place. Therefore, this study derived an appropriate penetration ratio based on data about the distribution ratio of common slow chargers. These data were collected using a survey of actual electric vehicle users. Next, an analysis was done on how to categorize the needs of charging environments and to determine what criteria or characteristics to use for categorization. Based on the results of the survey analysis, three types of places were derived. Type-1 places require 10% of chargers to be slow chargers, Type-2 places require 40-60% of chargers to be slow chargers (i.e., around equal distribution of slow and fast chargers), and Type-3 places require more than 80% of chargers to be slow chargers. The required levels of slow chargers were classified by place type and by individual using latent class cluster analysis, which made it possible to categorize them into five clusters related to socioeconomic variables, vehicle characteristics, traffic, and charging behaviors. It was found that there was a high correlation between charging behavior, weekend travel behavior, gender, and income. The results and insights from this study could be used to establish charging infrastructure policies in the future and to prepare standards for supplying charging infrastructure according to changes in the electric vehicle market.

• Journal of the Korea Institute of Building Construction
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• v.15 no.6
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• pp.621-629
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• 2015

Construction worker safety and safety training continue to be main issues in the construction industry. In order to promote safety awareness among workers, it is imperative to develop a more effective and efficient safety training. This study compared two methods in construction worker safety training: 1) a conventional lecture and 2) 3D simulation through Building Information Modeling. Both training methods included the same contents, a selection of safety standard and guide suggested by Occupational Safety and Health Agency and the Korea Occupational Safety and Health Agency; the contents were then produced into two types of training methods. A survey was conducted targeting on safety managers, in which the managers evaluated lifelikeness, active learning and enjoyment that each of training methods can promote. The results of the survey showed that innovative method using 3D simulation was more effective than conventional lecture method in terms of its lifelikeness, active learning and enjoyment. This study will provide implications that innovative method using the virtual reality is more effective than conventional lecture method.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.3
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• pp.669-678
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• 2018

This study developed information technology infrastructures for building a driving environment analysis platform using various big data, such as vehicle sensing data, public data, etc. First, a small platform server with a parallel structure for big data distribution processing was developed with H/W technology. Next, programs for big data collection/storage, processing/analysis, and information visualization were developed with S/W technology. The collection S/W was developed as a collection interface using Kafka, Flume, and Sqoop. The storage S/W was developed to be divided into a Hadoop distributed file system and Cassandra DB according to the utilization of data. Processing S/W was developed for spatial unit matching and time interval interpolation/aggregation of the collected data by applying the grid index method. An analysis S/W was developed as an analytical tool based on the Zeppelin notebook for the application and evaluation of a development algorithm. Finally, Information Visualization S/W was developed as a Web GIS engine program for providing various driving environment information and visualization. As a result of the performance evaluation, the number of executors, the optimal memory capacity, and number of cores for the development server were derived, and the computation performance was superior to that of the other cloud computing.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.11
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• pp.94-101
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• 2020

This study examined the effect of the sale price by excluding the PHC-pile cost from the construction costs for basic type (CCsBT) as an additional cost. The Ministry of Land, Infrastructure, and Transport excluded the PHC-pile cost in the CCsBT and new method so that only the designed pile quantity was recognized as an additional cost. The effect on the sale price was analyzed by comparing the pile cost of the existing and new methods. For this purpose, seven cases were selected, and the PHC-pile cost was estimated. The existing method was estimated as the ratio of the pile cost to CCsBT. The new method was estimated based on the bill of quantity. As a result, the CCsBT decreased by approximately 2-3% when the PHC-pile cost was calculated in the new method. Furthermore, as a result of comparing the sale price, excluding the PHC-pile cost with the sale price, the CCsBT decreased by approximately 1%. These results are expected to help improve the understanding of the CCsBT. Also, this paper contributes to promoting national housing stability through institutional improvement.

• International Journal of Internet, Broadcasting and Communication
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• v.12 no.2
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• pp.8-14
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• 2020

Recently, there was an increasing demand for an integrated access control system which is capable of user recognition, door control, and facility operations control for smart buildings automation. The market available door lock access control solutions need to be improved from the current level security of door locks operations where security is compromised when a password or digital keys are exposed to the strangers. At present, the access control system solution providers focusing on developing an automatic access control system using (RF) based technologies like bluetooth, WiFi, etc. All the existing automatic door access control technologies required an additional hardware interface and always vulnerable security threads. This paper proposes the user identification and authentication solution for automatic door lock control operations using camera based visible light communication (VLC) technology. This proposed approach use the cameras installed in building facility, user smart devices and IoT open source controller based LED light sensors installed in buildings infrastructure. The building facility installed IoT LED light sensors transmit the authorized user and facility information color grid code and the smart device camera decode the user informations and verify with stored user information then indicate the authentication status to the user and send authentication acknowledgement to facility door lock integrated camera to control the door lock operations. The camera based VLC receiver uses the artificial intelligence (AI) methods to decode VLC data to improve the VLC performance. This paper implements the testbed model using IoT open-source based LED light sensor with CCTV camera and user smartphone devices. The experiment results are verified with custom made convolutional neural network (CNN) based AI techniques for VLC deciding method on smart devices and PC based CCTV monitoring solutions. The archived experiment results confirm that proposed door access control solution is effective and robust for automatic door access control.

• Journal of the Korean GEO-environmental Society
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• v.15 no.7
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• pp.13-21
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• 2014

Recently, a great number of natural disasters have more frequently happened than the past. The National Emergency Management Agency of Korea has made preparation for the integrated management system of steep slope lands. There is information based on the steep slope inspection sheets and the underground spatial information related to the prevention against steep slope disasters. Nevertheless, building a complete DB System to prevent the hazards and secure the safeties should be urgently dealt with. It is mainly because the information of the National Disaster Management System is restricted to the text-based brief data. Therefore, the purpose of this study is to suggest the method as to building steep slope DB system for disaster prevention and maximizing the availabilities. This study shows the way of building a web-based DB system having its root in the steep slope inspection sheets. The method of establishing the ideal DB system that has liaisons between the Ministry of Land, Infrastructure and Transport and the National Emergency Management Agency is discussed in this study. Furthermore the optimization of DB utilization will assist the various integrated steep slope management systems based on U-IT which are ongoing projects.

• The Journal of the Korea Contents Association
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• v.12 no.11
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• pp.446-457
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• 2012

Recently, BIM(Building Information Modeling),which has been an issue in construction work, has been focused on as a new alternative of building industry for way out of crisis by slowing down and decreasing of orders in construction industry. Research for introducing BIM to the architectural field is already proceeding actively at home and abroad. However, civil engineering is so nonrecurring, horizontal, and different from regular construction works that it a large amount of information occurs because of wide range of project, which causes construction firms and design engineers to have some questions whether their initial investment cost would work or not and feel uncomfortable with the cost. In this study, technology level in engineering firms were surveyed for adapting BIM to domestic civil engineering. Development direction of BIM standard information model was drawn through awareness change analysis of BIM in civil engineering, as well. Deduced development direction is composed of guide development, system development, deliverable check and international standard proposal. The outcome will be employed as preliminary data for the study on development of infrastructure BIM standard and deliverable check system in civil engineering.

• Korean Journal of Construction Engineering and Management
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• v.18 no.3
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• pp.3-11
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• 2017

Since the global financial crisis, the average youth employment rate in OECD countries dropped from 54% in 2007 to 50.8% in 2013 while the average youth unemployment rate jumped from 9.7% in 2007 to 13.4% in 2013. A similar trend was seen in Korea, with a decrease of the youth employment rate from 42.6% in 2007 to 41.5% in 2015. The country's youth unemployment rate increased from 7.2% in 2007 to 9.2% in 2015. The low youth employment rate has quickly become a social problem not only in Korea but also worldwide. The Korean construction industry will gradually move its focus of investment from quantitative growth to investing in qualitative growth of the sector. In this sense, it is imperative to create jobs for construction engineers and train global talents. This study analyzed the presence of construction engineers and the employment status of university graduates in Korea to suggest ways to create jobs for young construction engineers. To train global talents in the construction engineering sector, it will be necessary to not only establish middle-long term plans but also change the perception of the construction industry from 3D (dirty, difficult, dangerous) to 3C (clean, clear, creative) along with appropriate infrastructure supporting the industry.

• Journal of Korean Tunnelling and Underground Space Association
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• v.22 no.2
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• pp.171-183
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• 2020

The purpose of this study is to analyze in advance the problems and improvements that may occur during the construction of intermediate slabs and the loading of intermediate slabs through the preliminary structural safety evaluation of intermediate slabs for Test bed structures in deep depth tunnels. The Test bed construction can verify and confirm the results of the design and construction technology development of large depth double deck tunnel through the process, and can also be used as a learning site for engineers and the general public to speed up the time of underground space development. There will be an opportunity to do this. In particular, the design load of middle slab built inside the circular deep-depth double-sided tunnel cross-section varies depending on the construction method and the construction equipment load used. Class 3 truck load of KL-510 assumed to be common load to upper and middle slab during loading and installation is loaded on upper and lower slab with different working position for each load combination Analyzed.

• Journal of Korean Tunnelling and Underground Space Association
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• v.20 no.6
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• pp.1161-1175
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• 2018

An unexpected event could be easily followed by a large secondary accident due to the limitation in sight of drivers in road tunnels. Therefore, a series of automated incident detection systems have been under operation, which, however, appear in very low detection rates due to very low image qualities on CCTVs in tunnels. In order to overcome that limit, deep learning based tunnel incident detection system was developed, which already showed high detection rates in November of 2017. However, since the object detection process could deal with only still images, moving direction and speed of moving vehicles could not be identified. Furthermore it was hard to detect stopping and reverse the status of moving vehicles. Therefore, apart from the object detection, an object tracking method has been introduced and combined with the detection algorithm to track the moving vehicles. Also, stopping-reverse discrimination algorithm was proposed, thereby implementing into the combined incident detection processes. Each performance on detection of stopping, reverse driving and fire incident state were evaluated with showing 100% detection rate. But the detection for 'person' object appears relatively low success rate to 78.5%. Nevertheless, it is believed that the enlarged richness of image big-data could dramatically enhance the detection capacity of the automatic incident detection system.