• 과학기술학연구
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• 제9권2호
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• pp.51-78
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• 2009

실패한 기술은 대체로 성공을 위한 끊임없는 도전 중에 발생하는 몇 차례의 필연적인 시행착오의 과정으로 그려지거나 혹은 성공한 기술과 대비시켜, 애초부터 실패할 조건들을 가진 일종의 병리적 기술로 취급된다. 이렇듯 실패라는 결과를 통해 재구성된 서술들은 흔히 실패한 기술이 한때 다양한 행위자들과 관계 맺으며 복잡한 기술 네트워크를 구성했었다는 사실을 망각한다. 결국 실패한 기술은 기술 구현에 실패했을 뿐 아니라 기술사에서 정당한 평가를 받는데도 실패하는 경우가 많다. 이 글은 한국 정보 통신 산업에서 가장 대표적인 실패로 기억되는 시티폰 프로젝트를 한국 정보 통신 산업의 토양 위에서 시작에서 종결까지 전 과정을 추적해, 시티폰 프로젝트가 구성했던 기술 네트워크를 복원하고자 시도한다. 이를 통해, 처음부터 저렴한 가격, 낮은 기술을 지향했던 시티폰 프로젝트가 다양한 행위자들의 이해관계가 만나는 지점에서 한시적으로나마 안정된 기술 네트워크를 구성했으며, 이후 각 행위자들의 기술에 대한 의미부여가 달라지면서 변화했음을 확인할 수 있을 것이다. 또한 실패로 종결된 시티폰 기술 네트워크의 붕괴가 기술적 한계보다는 기술표준에 대한 불확실성, 우발적 환경 변화에 기인한 것임을 보일 수 있을 것이다.

• Steel and Composite Structures
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• 제52권2호
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• pp.135-143
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• 2024

Once the foundation displacement of the transmission tower occurs, additional stress will be generated on the tower members, which will affect the seismic response of transmission tower-line systems (TTLSs). Furthermore, existing research has shown that the reciprocating slippage of joints needs to be considered in the seismic analysis. The hysteretic behavior of joints is obtained by model tests or numerical simulations, which leads to the low modeling efficiency of TTLSs. Therefore, this paper first utilized numerical simulation and model tests to construct a BP neural network for predicting the skeleton curve of joints, and then a numerical model for a TTLS considering the bolt slippage was established. Then, the seismic response of the TTLS under foundation displacement was studied, and the member stress changes and the failed member distribution of the tower were analyzed. The influence of foundation displacement on the seismic performance were discussed. The results showed that the trained BP neural network could accurately predict the hysteresis performance of joints. The slippage could offset part of the additional stress caused by foundation settlement and reduce the stress of some members when the TTLS with foundation settlement was under earthquakes. The failure members were mainly distributed at the diagonal members of the tower leg adjacent to the foundation settlement and that of the tower body. To accurately analyze the seismic performance of TTLSs, the influence of foundation displacement and the joint effect should be considered, and the BP neural network can be used to improve modeling efficiency.

• 한국입자에어로졸학회지
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• 제16권2호
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• pp.31-47
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• 2020

Although interest in air quality has increased due to the frequent occurrence of high-concentration fine particulate matter recently, the official fine particulate matter measuring network has failed to provide spatial detailed air quality information. This is because current measurement equipment has a high cost of installation and maintenance, which limits the composition of the measuring network at high resolution. To compensate for the limitations of the current official measuring network, this study constructed a spatial high density measuring network using the fine particulate matter simple measuring device developed by Observer, W-Station. W-Station installed 48 units on Jeju Island and measured PM_2.5 for six months. The data collected in W-Station were corrected by applying the first regression equation for each section, and these measurements were compared and analyzed based on the official measurements installed in Jeju Island. As a result, the time series of PM_2.5 concentrations measured in W-Station showed concentration characteristics similar to those of the environmental pollution measuring network. In particular, the results of comparing the measurements of W-Station within a 2 km radius of the reference station and the reference station showed that the coefficient of determination (R²) was 0.79, 0.81, 0.67, respectively. In addition, for W-Station within a 1 km radius, the coefficient of determination was 0.85, 0.82, 0.68, respectively, showing slightly higher correlation. In addition, the local concentration deviation of some regions could be confirmed through 48 high density measuring networks. These results show that if a network of measurements is constructed with adequate spatial distribution using a number of simple meters with a certain degree of proven performance, the measurements are effective in monitoring local air quality and can be fully utilized to supplement or replace formal measurements.