• Journal of the Korea Safety Management & Science
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• v.2 no.1
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• pp.1-17
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• 2000

Many Safety training up to now has been done at site varying with their condition without any standardization or fundamental work related technique. In order to prevent any accidents from construction site, now as we all know, we have to approach on it with work based method. The authors have investigated a couple of construction site for collecting the ideas from site Engineers of this. Some of ideas analyzed with the above related data have been shown as conclusions.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.205-209
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• 2015

A significant amount of data including ongoing construction activities, work quantities, resources utilized by contractors, and site conditions is collected in highway construction sites on a daily basis by resident engineers. This data is commonly known as daily work reports (DWRs) in the U.S. Although a lot of time and effort is invested in collecting the DWR data, its utilization has been very limited. This paper discusses current practices of collecting and utilizing DWR data among various Departments of Transportation in the U.S., and discusses the challenges and opportunities for better collection and utilization of the data. An extensive literature review and two nationwide surveys in the U.S. were conducted as a part of this study. Finally, it provides a set of recommendations to effectively address the challenges identified and maximize the benefits of utilizing DWR data such as supporting various decisions for highway project development process. The findings of this study are implementable ideas that can aid DOTs in making data-driven decisions throughout the project development processes in the future.

• Korean journal of applied entomology
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• v.46 no.3
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• pp.375-383
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• 2007

To find out the affection of the sampling techniques to the result of a faunistic study, we surveyed the insect fauna of the Chungbuk National University (four different sites) for a year, from spring to fall. For each site, four different collecting methods: light trap, net sweeping, pitfall trap, and window trap, were applied and the collecting was done every other week for a total of 16 times. A total of 14 orders and 672 species were collected. 501 species were collected by the light trap, which covers about 75% of the total number of species, turn out to be the most effective, while other methods could only cover 18% or less. On average, only about 30% of the species collected at a given time of collecting were re-collected at the next collecting, which means about 70% of the species collected from the first collecting remains not collected in the next collecting if you collect insects every other week. The result suggests that, in addition to applying diverse collecting methods, frequent sampling, or narrow sample window, is another very important factor for a good representation of species diversity in an insect faunistic study.

• Proceedings of the KSME Conference
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• 2007.05b
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• pp.2615-2620
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• 2007

This paper describes on pressure drop in a circular pipe of refuse collecting system. The flow characteristics inside the circular pipe are analyzed by three-dimensional Navier-Stokes analysis. In numerical analysis, an organic waste is modeled using the data obtained by site survey. Pressure drop obtained by numerical simulation is compared to the value obtained by experimental measurements for the two kinds of pipe; straight and bended type. The pressure drop obtained by numerical simulation has a good agreement with that of experiments. It is noted that the accurate prediction of pressure drop in the waste pipe is very important to determine the performance of turbo blower used in making a suction pressure in the waste pipe. Especially, the pressure drop for an organic waste is analyzed according to the mass flow rate of waste.

• Journal of the Korean Institute of Educational Facilities
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• v.12 no.1
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• pp.41-53
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• 2005

The purpose of this study is to suggest the reference materials in the selection of location of elementary school at the planning of building site development by analyzing the environment of architecture in the district of building site development. The method of investigation adapted the site investigation and drawing analysis of the elementary school, after collecting materials of the district of building site development within Busan city, under the object of investigation including 17 elementary schools within 15 districts of building site development and the object of investigation.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.40 no.1
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• pp.31-40
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• 2022

The importance of disaster management and response is emerging as various disasters such as COVID-19, torrential rains, and fires occur one after another. In addition, in order to respond efficiently throughout disaster response activities, it is necessary to quickly collect disaster site information and quickly check the site situation through photo and video information so that rapid disaster response can be achieved. In this study, essential information required for decision-making was derived by analyzing the essential activities of each disaster response stage, analyzing the crisis management standard manual and related laws for each disaster type, and daily comprehensive report. In addition, a list of information necessary to grasp the situation of the disaster site and grasp the status of real-time damage was derived to establish guidelines for collecting volatile disaster site information, and disaster situation information can be efficiently displayed through a spatial information-based display system. By presenting essential disaster management information to be collected first, the person in charge of collecting information can efficiently collect information, and the situation room in charge of disaster response decision-making is expected to enable more efficient disaster situation management by receiving only the necessary information.

• Journal of the Korean Society of Costume
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• v.57 no.4 s.113
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• pp.95-109
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• 2007

After defining the determining factor of an attitude on clothing web-site as cognitive responses and affective responses, this study was to investigate how it affects against web-site attitude, brand attitude and purchase intention. To accomplish research subject, this study had an analysis on web-site attitude, brand attitude and purchase intention after selecting 3 department stores having mega fashion malls which run web-sites. Aad(Attitude toward an advertisement) was defined as cognitive responses and affective responses. This research analyzed it by multiple regression analysis after collecting a date from 265 customers who use 3 department stores selected The findings are as follows. First, Aad had a significance impact on web-site attitude across the department stores. Second, Aad had a significance impact on brand attitude across the department stores. Third, Aad had a significance impact on purchase intentions across the department stores. At the end of this paper, discussion, managerial implications, limitations, and future research directions were suggested.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.22 no.49
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• pp.99-113
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• 1999

This paper describes a study which was undertaken in Ulsan City. It attempted to develop stepwise procedures that would aid Ulsan City in making decision of primary importance: what is the optimal site location for establishing a new Industrial Technology Research Park for public development\ulcorner The presented modeling procedures are an adaption of a number of exiting methods for the evaluation of industrial site potential. The procedures to determine the best site location can be divided into three phases : (i)defining the information necessary to compare potential sites, (ii) collecting the information for each site and (iii)evaluation potential sites utilizing the location model.

• Journal of Internet Computing and Services
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• v.24 no.5
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• pp.9-16
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• 2023

Recently, there is an increasing demand to quickly identify changes in the field by applying Digital-twin for on-site management control and analyzing changes in real-time data transmitted. When technologies such as Digital-twin are applied, early problem response and quick response to situations are possible. However, in order to maximize the advantages of digital twin technology, a method of collecting and managing sensor data that collects field information at an appropriate period is required. need. In addition, it is necessary to consider how sensor information is transmitted to each management domain and how to identify and respond to abnormal situations so that it can be visualized for each management purpose. In this paper, we propose a method for collecting heterogeneous sensor information and related system configuration for on-site inspection management based on digital twin.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.1243-1244
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• 2022

In recent years, the growing interest in off-site construction has led to factories scaling up their manufacturing and production processes in the construction sector. Consequently, continuous large-scale site monitoring in low-variability environments, such as prefabricated components production plants (precast concrete production), has gained increasing importance. Although many studies on computer vision-based site monitoring have been conducted, challenges for deploying this technology for large-scale field applications still remain. One of the issues is collecting and transmitting vast amounts of video data. Continuous site monitoring systems are based on real-time video data collection and analysis, which requires excessive computational resources and network traffic. In addition, it is difficult to integrate various object information with different sizes and scales into a single scene. Various sizes and types of objects (e.g., workers, heavy equipment, and materials) exist in a plant production environment, and these objects should be detected simultaneously for effective site monitoring. However, with the existing object detection algorithms, it is difficult to simultaneously detect objects with significant differences in size because collecting and training massive amounts of object image data with various scales is necessary. This study thus developed a large-scale site monitoring system using edge computing and a small-object detection system to solve these problems. Edge computing is a distributed information technology architecture wherein the image or video data is processed near the originating source, not on a centralized server or cloud. By inferring information from the AI computing module equipped with CCTVs and communicating only the processed information with the server, it is possible to reduce excessive network traffic. Small-object detection is an innovative method to detect different-sized objects by cropping the raw image and setting the appropriate number of rows and columns for image splitting based on the target object size. This enables the detection of small objects from cropped and magnified images. The detected small objects can then be expressed in the original image. In the inference process, this study used the YOLO-v5 algorithm, known for its fast processing speed and widely used for real-time object detection. This method could effectively detect large and even small objects that were difficult to detect with the existing object detection algorithms. When the large-scale site monitoring system was tested, it performed well in detecting small objects, such as workers in a large-scale view of construction sites, which were inaccurately detected by the existing algorithms. Our next goal is to incorporate various safety monitoring and risk analysis algorithms into this system, such as collision risk estimation, based on the time-to-collision concept, enabling the optimization of safety routes by accumulating workers' paths and inferring the risky areas based on workers' trajectory patterns. Through such developments, this continuous large-scale site monitoring system can guide a construction plant's safety management system more effectively.