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- 저자 : Sadaqat Khan (검색결과 3 건)
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Assessment of greenhouse gas emissions from ships operation at the Port of Incheon using AIS
Sadaqat Khan,Young-Tade Chang(장영태),Suhyung Lee(이수형),Kyoung-Suk Choi(최경숙) 한국항만경제학회 2018 韓國港灣經濟學會誌 Vol.34 No.1
본 연구는 2014년 10월 동안 인천항만에 기항하는 선박들의 온실가스 배출량을 추정하고자 시도되었다. 온실가스 배출량 추정을 위하여 AIS 데이터를 토대로 한 Bottom-up 방식을 활용하였으며 연료소비총량과 연료소비의 결과로서 발생한 이산화탄소 총량을 함께 분석하였다. 배출량 추정은 선박의 종류를 토대로 추정되었으며 각각 개별 선박의 날짜-시간 스템프 사이에서 그들의 움직임에 따라 계산되었다. 인천항에서 운항되는 최종 330 척(AIS-데이터)의 선박 샘플의 결과에 따르면 선박들의 총 이산화탄소 배출량은 164693.06 톤으로 추정되었으며, 연구기간동안 이들 선박의 총 연료소비량은 51953.64 톤에 이르는 것으로 나타났다. 선박의 종류에 따른 구체적 분석 결과를 살펴보면, 여객선이 배출량 81409.6톤으로 가장 오염이 심한 선박으로 나타났으며, 그 뒤를 이어 예인선 (37248.4톤), 화물선 (32154.6톤), 다른 활동에 사용된 선박 (9039.1톤), 화학 탱커 (4027.06톤) 그리고 어선 (814.048톤) 순으로 확인되었다. This paper attempts to estimate GHG emissions, primarily CO₂ ship emissions, at the port of Incheon in October 2014. This study employed a bottom-up approach based on Automatic Identification System (AIS) data to estimate the total amount of fuel consumption and the total amount of CO₂ emission produced as a result of fuel combustion. Using a sample of 330 ships operating at the port of Incheon in Korea, the total amount of CO₂ gases emitted from ships in October 2014 were estimated to be 164693.06 tons, with estimated total fuel consumption of 51953.64 tons. General cargo ships were most common type of ships, but they were less polluting compared to passenger ships. The detailed emission estimates by ship type revealed that passenger ships were the most polluting ships (81409.6 tons of emissions), followed by tugboats (37248.4 tons), cargo ships (32154.6 tons), ships used for other activities (9039.1 tons), chemical tankers (4027.06 tons), and fishing ships (814.048 tons), respectively.
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SHABIR AHMAD,Khan Salman,Shah Ibrar Ali,Nadeem Muhammad Faisal,Jan Sadaqat,Whangbo Taegkeun 한국컴퓨터산업협회 2023 Human-centric Computing and Information Sciences Vol.13 No.-
Fog computing evolved in 2012 and extended conventional cloud computing services to the Internet of Things (IoT) applications. Real-time applications require fast response to satisfy their quality-of-service requirements. However, cloud computing generates communication latency, which is unacceptable for real-time applications. Fog computing eliminates latency sensitivity by providing services at the edge to IoT users. However, the number of IoT users is increasing exponentially; thus, tasks are generated dynamically and stochastically. Fog computing is a resource-constrained paradigm, unlike the cloud; therefore, adequate resource utilization and task scheduling are challenging. This article proposes a novel framework for Internet of Medical Things (IoMT) applications based on load balancing and task scheduling to minimize overhead latency. To realize the proposed framework, we implement a modified particle swarm optimization (MPSO) technique for delay-sensitive IoMT applications. The proposed algorithm is implemented and evaluated using the iFogSim modeling toolkit. The evaluation is based on performance metrics of execution time delay, execution cost, energy consumption, and network bandwidth consumption as utility functions. Experimental results based on the proposed technique show significant improvements in the performance of IoMT applications (up to 20%, 30%, and 15% in terms of delay, cost, energy, and network, respectively), compared with their counterparts. Moreover, the proposed technique based on MPSO improves resource utilization by up to 80%.
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Structural Behaviour of Polystyrene Foam Lightweight Concrete Beams Strengthened with FRP Laminates
Wael M. Montaser,Ibrahim G. Shaaban,Amr H. Zaher,Sadaqat U. Khan,Mustafa N. Sayed 한국콘크리트학회 2022 International Journal of Concrete Structures and M Vol.16 No.6
Lightweight concrete (LWC) is one of the most important building materials nowadays. Many research studies were focused on LWC produced using lightweight aggregates. However, limited work was cited for LWC produced using polystyrene beads. In this study, LWC beams strengthened with carbon fibre reinforced polymer (CFRP) and glass fibre reinforced polymer (GFRP) were experimentally tested to investigate the improvement in their flexural and shear behaviours. LWC in this investigation was achieved by partial replacement of normal aggregate by polystyrene beads and resulted in approximately 30% less weight compared to Normal weight concrete. Fourteen Reinforced Concrete (RC) LWC beams of 100 mm by 300 mm cross section having an overall length of 3250 mm were tested under four-point bending. These beams were designed, detailed, and tested to obtain flexural and shear mode of failure. These beams were divided into two groups based on the intended failure mode. In each group, six beams were strengthened using CFRP and GFRP laminates, while the remaining one beam was used as control. The tested parameters were the type of FRP, the width of the laminates used in shear strengthening, and the number of layers used in flexural strengthening. It was found that strengthening of LWC beams using CFRP and GFRP layers resulted in increasing the loading capacity and decreasing deflection as compared to control. The strengthening with CFRP and GFRP is also suitable in reducing the crack width and crack propagation which is more significant in LWC beams. The experimental results were also compared with the expressions in codes for forecasting the strength of LWC beams and it was that these expressions are compatible with the experimental results.
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