• Title/Summary/Keyword: Schedule Compression

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Performance Elements for Schedule Compression in Slab Form Work for High-rise Buildings (초고층 바닥거푸집 공사 공기단축을 위한 현장 요구 성능도출)

  • Lim, Hyun-Su;Kim, Tae-Hoon;Cho, Hun-Hee;Kang, Kyung-In
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2010.05a
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    • pp.167-170
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    • 2010
  • In tall building construction, It is important to reduce construction duration of slab form work. Therefore, the purpose of this study is to assess the required performance for reduction of construction duration in slab form work of tall buildings. We surveyed the required performance and their degrees of importance and economical efficiency through the interview and questionnaire survey by related experts. This study proposes the guideline to develop improved formwork system for reduction of construction duration.

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Evaluation of Structural Behaviour of High Performance Permanent Form with Stainless Steel Fiber

  • Sim Jong Sung;Oh Hong Seob;Ju Min Kwan;Shih Hyun Yang;Han Jeong Jin;Sohn Yushin
    • Proceedings of the Korea Concrete Institute Conference
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    • 2005.05a
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    • pp.499-502
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    • 2005
  • Nowadays, the stripping work of form has generated some problems such as increasing total constructing cost result from delayed work schedule by the stripping work of form and environmental issues by wasting the debonded form. According to recent research for form work, it has studied about permanent form to solve economic and environmental problem which is commented above. In this study, high performance permanent form method was developed and tested by adopting COM and TEN specimens adopted on the Compression and Tensile section then the structural behaviour was investigated. In the test result, the specimen adopted the form showed better structural performance than control specimen in the point of ductility, failure mode and ultimate load.

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A Time Slot Assignment Scheme for Sensor Data Compression (센서 데이터의 압축을 위한 시간 슬롯 할당 기법)

  • Yeo, Myung-Ho;Kim, Hak-Sin;Park, Hyoung-Soon;Yoo, Jae-Soo
    • Journal of KIISE:Computing Practices and Letters
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    • v.15 no.11
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    • pp.846-850
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    • 2009
  • Recently, wireless sensor networks have found their way into a wide variety of applications and systems with vastly varying requirements and characteristics such as environmental monitoring, smart spaces, medical applications, and precision agriculture. The sensor nodes are battery powered. Therefore, the energy is the most precious resource of a wireless sensor network since periodically replacing the battery of the nodes in large scale deployments is infeasible. Energy efficient mechanisms for gathering sensor readings are indispensable to prolong the lifetime of a sensor network as long as possible. There are two energy-efficient approaches to prolong the network lifetime in sensor networks. One is the compression scheme to reduce the size of sensor readings. When the communication conflict is occurred between two sensor nodes, the sender must try to retransmit its reading. The other is the MAC protocol to prevent the communication conflict. In this paper, we propose a novel approaches to reduce the size of the sensor readings in the MAC layer. The proposed scheme compresses sensor readings by allocating the time slots of the TDMA schedule to them dynamically. We also present a mathematical model to predict latency from collecting the sensor readings as the compression ratio is changed. In the simulation result, our proposed scheme reduces the communication cost by about 52% over the existing scheme.

Data Correlation-Based Clustering Algorithm in Wireless Sensor Networks

  • Yeo, Myung-Ho;Seo, Dong-Min;Yoo, Jae-Soo
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.3 no.3
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    • pp.331-343
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    • 2009
  • Many types of sensor data exhibit strong correlation in both space and time. Both temporal and spatial suppressions provide opportunities for reducing the energy cost of sensor data collection. Unfortunately, existing clustering algorithms are difficult to utilize the spatial or temporal opportunities, because they just organize clusters based on the distribution of sensor nodes or the network topology but not on the correlation of sensor data. In this paper, we propose a novel clustering algorithm based on the correlation of sensor data. We modify the advertisement sub-phase and TDMA schedule scheme to organize clusters by adjacent sensor nodes which have similar readings. Also, we propose a spatio-temporal suppression scheme for our clustering algorithm. In order to show the superiority of our clustering algorithm, we compare it with the existing suppression algorithms in terms of the lifetime of the sensor network and the size of data which have been collected in the base station. As a result, our experimental results show that the size of data is reduced and the whole network lifetime is prolonged.

A Study on the Compression of Construction Period by the Improvement of Trench Excavation for Slurry Wall Method (지하연속벽 시공 시 트렌치 굴착방법 개선을 통한 공기단축에 관한 연구: 현장적용사례를 중심으로)

  • Lee, Young Soo;Park, Hyung-Keun;Kang, Kyubyung
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.32 no.5D
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    • pp.499-505
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    • 2012
  • As the excavation depths during excavation works in urban sites are getting deeper and bigger, It is necessary to study for the improvements to solve the problems in the excavation processes. This research deals with the excavation method that can not only minimize the effect on the surrounding constructions, but also shorten the construction period of the excavation work. For this research, there have been an extensive literature review of the bibliographic data about Slurry Wall Method, which is recognized around the world, and the analysis of the major problems in the existing ineffective construction step. These efforts led to the technical improvements. Accordingly, a new construction method applied with the new technical factors has been suggested, and it was possible to compare Slurry Wall Method with the construction method and analyze them on the base of the examples using the suggested method. This new method decreased the excavation period by 15 days. It took only 33days to finish the excavation work, as compared to 48 days that can be seen on the pre-modification schedule. Furthermore, the suggested method in this research is safer, more economically feasible, and better for the environment than Slurry Wall Method. It will contribute to shortening the construction period of Slurry Wall Method in the end.