• Title/Summary/Keyword: Building Cost

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Study on the ICT Device Safety System Application Examples in Mines (광산에서의 ICT 장비 활용 및 안전시스템 운용 사례 연구)

  • Kim, Seung-Jun;Ko, Young-Hun;Kim, Jung-Gyu;Seo, Man-Keun;Kim, Jong-Gwan
    • Tunnel and Underground Space
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    • v.32 no.3
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    • pp.194-202
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    • 2022
  • An increased number of cases have occurred in applying ICT technology in the resource development field due to factors such as safety, eco-friendliness, and low cost since the 2000s. In Korea, the 2nd mining master plan specified the significance of converging the full cycle of mining and ICT, while the 3rd mining master plan highlighted ICT and smart mining such as supporting the supply of an ICT mining device and introducing demonstrational smart mining. This study introduces the application of an ICT device and safety system operation in the Jangseong underground mine of Korea Cement Co., Ltd. Currently, Jangseong mine combines two different kinds of 3D equipment including the handheld 3D scanner and multi-station that provides both the measurement and 3D scanning to perform a 3D measurement of the mine. Taken from the 3D measurement of the mine, it is now possible to identify any hazardous areas and abnormalities in different directions and analyze the safety of the crown pillar between two stopes in different level. Besides, the real-time location tracking and communications system have established highly efficient rescue and evacuation plans to effectively deal with any accidents in the mine.

A Study on the D-InSAR Method for Micro-deformation Monitoring in Railway Facilities (철도시설물 미소변형 모니터링을 위한 D-InSAR 기법 연구)

  • Kim, Byung-Kyu;Lee, Changgil;Kim, Winter;Yoo, Mintaek;Lee, Ilhwa
    • Journal of the Korean Geotechnical Society
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    • v.38 no.11
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    • pp.43-54
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    • 2022
  • The settlement at the railroad foundation is often the leading cause of track irregularity and potential derailment. The control of such deformation is considered necessary in track maintenance practice. Nevertheless, the monitoring process performed by in situ surveying requires an excessive amount of manpower and cost. The InSAR, a remote sensing technique by RADAR satellite, is used to overcome such a burden. The PS-InSAR technique is preferred for a long-term precise monitoring method. However, this study aims to obtain relatively brief analysis results from only two satellite images using the D-InSAR technique, while a minimum of 25 images are required for PS-InSAR. This study verifies the precision of D-InSAR within a few millimeters by inspecting railroad facilities and land settlements in Korea Railroad Research Institute's test track with images from TerraSAR-X Satellite. Multiple corner reflectors were adopted and installed on an embankment and the building roof to raise the surface reflectivity. Those reflectors were slightly adjusted periodically to verify the detecting performance. The results revealed the optimum distance between corner reflectors. Further, the deformation of railway tracks, slopes, and concrete structures was analyzed successively. In conclusion, this study indicates that the D-InSAR technique effectively monitors the short-term deformation of a broad area such as railway structures.

A Study on Landscaping Repair Work Classifications in Cultural Heritage Industry (문화재 수리의 조경분야 공종 분류에 관한 연구)

  • Kim, Min-Seon;Lee, Jae-Yong;Kim, Choong-Sik
    • Journal of the Korean Institute of Traditional Landscape Architecture
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    • v.40 no.2
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    • pp.59-66
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    • 2022
  • The purpose of this study was to suggest the landscaping repair work classification, the standard for securing the independence of and establishing the scope of landscaping repair works. Standard construction specifications currently specify the landscaping repair work classification around the planting construction, while standard work estimate does not include the field of landscaping. The landscaping construction specifications and the standard work estimate in the construction industry should be, however, applied, so it is difficult to specifically understand what is the landscaping repair work classification in the cultural heritage industry. From 1961 to 1980, not only the tree planting but also a variety of landscaping facilities had been specified as the landscaping repair works, and it was found that all of these work classifications are established as the landscaping repair work classifications in the construction industry. A total of 20 work classifications were verified by comprehensively arranging those specified in notices of tender for working drawing services for cultural heritages during three years, from 2018 to 2020, except for those for the maintenance and Dancheong of architectures, plant protection and conservation. All 20 work classifications corresponded to the landscaping work classifications in the construction industry. On the basis of the landscaping work classifications in the construction industry, this study divided the landscaping repair work classifications into site-building and shaping, planting work, facility construction, paving work, ecological landscape architectural construction and vegetation maintenance, by considering the specialty of cultural heritage space.

Design and Implementation of Economical Smart Wall Switch with IEEE 802.11b/g/n

  • Myeong-Chul Park;Hyoun-Chul Choi;Cha-Hun Park
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.8
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    • pp.103-109
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    • 2023
  • In this paper, we propose a smart wall switch based on IEEE 802.11b/g/n standard 2.4GHz band communication. As the 4th industrial era evolves, smart home solution development is actively underway, and application cases for smart wall switches are increasing. Most of the Chinese products that preoccupy the market through price competitiveness use Bluetooth and Zigbee communication switches. However, while ZigBee communication is low power, communication speed is slower than Bluetooth and network configuration through a separate hub is additionally required. The Bluetooth method has problems in that the communication range and speed are lower than Wi-Fi communication, the communication standby time is relatively long, and security is weak. In this study, an IEEE 802.11b/g/n smart wall switch applied with Wi-Fi communication technology was developed. In addition, through the two-wire structure, it is designed so that no additional cost is incurred through the construction of a separate neutral line in the building. The result of the study is more than 30% cheaper than the existing wall switch, so it is judged that it will be able to preoccupy the market not only in terms of technological competitiveness but also price competitiveness.

Deep Learning based Estimation of Depth to Bearing Layer from In-situ Data (딥러닝 기반 국내 지반의 지지층 깊이 예측)

  • Jang, Young-Eun;Jung, Jaeho;Han, Jin-Tae;Yu, Yonggyun
    • Journal of the Korean Geotechnical Society
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    • v.38 no.3
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    • pp.35-42
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    • 2022
  • The N-value from the Standard Penetration Test (SPT), which is one of the representative in-situ test, is an important index that provides basic geological information and the depth of the bearing layer for the design of geotechnical structures. In the aspect of time and cost-effectiveness, there is a need to carry out a representative sampling test. However, the various variability and uncertainty are existing in the soil layer, so it is difficult to grasp the characteristics of the entire field from the limited test results. Thus the spatial interpolation techniques such as Kriging and IDW (inverse distance weighted) have been used for predicting unknown point from existing data. Recently, in order to increase the accuracy of interpolation results, studies that combine the geotechnics and deep learning method have been conducted. In this study, based on the SPT results of about 22,000 holes of ground survey, a comparative study was conducted to predict the depth of the bearing layer using deep learning methods and IDW. The average error among the prediction results of the bearing layer of each analysis model was 3.01 m for IDW, 3.22 m and 2.46 m for fully connected network and PointNet, respectively. The standard deviation was 3.99 for IDW, 3.95 and 3.54 for fully connected network and PointNet. As a result, the point net deep learing algorithm showed improved results compared to IDW and other deep learning method.

The Effects of Firms' Engagement in Fair Trade Practice on Consumers' Purchase Intention : An Experimental Study on Koreans' Attitude toward Foreign Coffee Brands (기업의 공정무역행위가 소비자들의 제품 구매의도에 미치는 영향 - 한국 소비자들의 커피 브랜드 태도에 관한 실험을 중심으로 -)

  • Kim, Min-Hee;Kim, Min-Ho;Oh, Han-Mo
    • Korea Trade Review
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    • v.41 no.5
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    • pp.1-14
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    • 2016
  • Consumers have been increasing their interests in firms' ethicality as well as in the features of the firms' products when they decide to purchase a certain product. Recently, fair trade is considered to be a type of ethical marketing in the business-to-consumer market. In this regard, the effects of fair trade-based marketing on firm performance have become the center of academic and managerial concerns. Despite this importance, few studies have investigated whether fair-trade is a source of competitive advantage or just a cost of doing business. The present research attempts to provide evidence of how fair trade-based marketing influences competitive advantage. Two experimental studies were conducted to explore consumers' purchase intention, which can be a proxy of competitive advantage, in a foreign product-consumption context. Drawing on the stakeholder theory, the first study was performed to examine the effects of fair trade marketing on consumers' purchase intention through a within-subjects design. In addition, building on the signal theory, the second study was executed to test the effects of a fair trade mark on consumers' purchase intention. The findings of the current research reveal that consumers prefer fair trade-based products to others and that when it comes to fair trade-certified products, consumers are more likely to purchase products with that certification than otherwise, even when those products are sold at higher costs than rival products. Interestingly, the results of this research present that there is a significant difference of consumers' purchase intention of a fair trade-based product between two different marketers. This implies that fair trade-based products should be differentially distributed and targeted at a certain type of consumers.

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Busan Tourism Industry applying OECD Tourism Policy and ICT Convergence Platform (OECD 관광정책과 ICT 융합 플랫폼을 적용한 부산관광산업)

  • Lim, Yong-Suk;Jung, Ho-Jin;Lee, Jung-Won
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.7 no.12
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    • pp.871-879
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    • 2017
  • The purpose of this study is to propose a Busan tourism industry in which the 2016 OECD Tourism policy and ICT convergence platform are applied. OECD proposed 3 policies to promote the tourism industry: First, to maintain the competitiveness of the tourism industry as well as improve its efficiency and sustainability, second, to establish a seamless traffic system, and third, to build a response to the sharing economy. Centering on the OECD's three policies, we propose the developmental possibilities of tourism in Busan. At the same time, we suggest the necessity to build an ICT convergence platform that will help foster the industry. In building an ICT convergence platform, we especially focus on the necessity of: 1. Sharing and creating experience-based interactive contents on the software side, and 2. Developing high quality user experience (UX) and providing a data analysis-based customized service on the hardware side. In addition, we insist on the establishment of the Tourism Promotion Agency for the continuous performance and management of Busan tourism industry. The study ultimately suggests that the construction of ICT convergence platform based on OECD tourism policy can result in the expected outcomes of high effects with low cost for both consumers and suppliers related to the tourism industry.

Requirements Analysis of Manufacturing Industry for the Development of Support System based on Cognitive and Affective Information (인지 및 감성 정보 지원 시스템 개발을 위한 제조업체 요구사항 분석)

  • Huh, Jung;Yoo, Hoon Sik;Ju, Da Young
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.6 no.10
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    • pp.549-564
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    • 2016
  • Due to high cost of domestic production structure, steep growth of China's manufacturing business, and increase in oversea's production, building integrated system to support user-centered product design system based on cognitive and affective information is required to restore development of domestic manufacturing business. This paper put purpose on analysing requirements of end users, especially on information equipment business which works as a major industry in manufacturing businesses, and planning system design direction, prior to constructing user-centered product design support system based on cognitive and affective information. Research was conducted to identify current manufacturing process, application data on manufacturing, availability of cognitive and affective information data and its method of use, and necessity of user-centered product design support system based on cognitive and affective information, by carrying out in-depth interview with 6 related manufacturing companies. Need for user's character information was deducted from the interview, especially cognitive and affective information which is demanding for small to medium manufacturing business to research on its own.

A study on the improvement of the protective shield construction method and explosion-proof tube performance for tunnel blasting (터널 발파에 대한 방호쉴드 공법 및 방폭튜브 성능 개선 연구)

  • Sang-Hwan Kim;Soo-Jin Lee;Jung-Nam Kwon;Dong-gyun Yoo;Yong-Woo Kim;Kwang-Eun Cho
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.25 no.4
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    • pp.285-303
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    • 2023
  • Interest in building underground spaces is increasing for the creation of downtown infrastructure and efficient space utilization. A representative method of utilizing underground space is a tunnel, and in addition to road tunnels, the construction of utility tunnels such as power conduits and utility conduits is gradually increasing. The current basic tunnel construction method can be divided into NATM (New Austrian Tunnelling Method) and TBM (Tunnel Boring Machine). The NATM is a reliable method, but it is accompanied by vibration and noise due to blasting. In the case of the TBM excavation method, there are disadvantages in terms of construction period and construction cost, but it is possible to improve economic feasibility by introducing appropriate complementary methods. In this study, a blasting method was develop using the NATM after TBM pre-excavation using the protective shield method. This is a method that compensates for the disadvantages of each tunnel construction method, and is expected to reduce construction costs, blasting vibration, and noise. In order to review the performance of the developed method, an experiment was conducted to evaluate the performance of explosion-proof tube to which a protective shield scale model was applied, and the impact of blasting vibration of the protective shield method was analyzed.

Elevator Algorithm Design Using Time Table Data (시간표 데이터를 이용한 엘리베이터 알고리즘 설계)

  • Park, Jun-hyuk;Kyoung, Min-jun
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.05a
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    • pp.122-124
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    • 2022
  • Handling Passenger Traffic is the main challenge for designing an elevator group-control algorithm. Advanced control systems such as Hyundai's Destination Selection System(DSS) lets passengers select the destination by pressing on a selecting screen, and the systems have shown great efficiency. However, the algorithm cannot be applied to the general elevator control system due to the expensive cost of the technology. Often many elevator systems use Nearest Car(NC) algorithms based on the SCAN algorithm, which results in time efficiency problems. In this paper, we designed an elevator group-control algorithm for specific buildings that have approximate timetable data for most of the passengers in the building. In that way, it is possible to predict the destination and the location of passenger calls. The algorithm consists of two parts; the waiting function and the assignment function. They evaluate elevators' actions with respect to the calls and the overall situation. 10 different timetables are created in reference to a real timetable following midday traffic and interfloor traffic. The specific coefficients in the function are set by going through the genetic algorithm process that represents the best algorithm. As result, the average waiting time has shortened by a noticeable amount and the efficiency was close to the known DSS result. Finally, we analyzed the algorithm by evaluating the meaning of each coefficient result from the genetic algorithm.

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