• 제목/요약/키워드: Energy Analysis Model

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Mobile Sink UAV 환경에서 프라이버시를 보장하는 새로운 인증 프로토콜 설계 (A New Design of Privacy Preserving Authentication Protocol in a Mobile Sink UAV Setting)

  • 오상윤;정재열;정익래;변진욱
    • 정보보호학회논문지
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    • 제31권6호
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    • pp.1247-1260
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    • 2021
  • 최근, 무선 센서 네트워크에서 더욱 효율적인 노드의 에너지 관리를 위해 센서 데이터를 대신 수집해주는 모바일 싱크 노드에 관한 연구가 있었다. 대표적인 모바일 싱크 노드로는 UAV (Unmanned Aerial vehicle)가 사용되며, 학계에서는 최적의 UAV 경로를 계산하는 알고리즘을 제시하는 위주로 IoD (Internet of Drones) 환경의 급격한 발전을 만들어냈다. 동시에, 보안 관점에서 다수의 노드와 세션키를 효율적으로 만들어야 하는 IoD의 특성에 맞춰 상호 인증 및 안전한 키 교환을 목표로 하는 기법들이 몇몇 제시되었다. 하지만, 모바일 싱크 노드 환경에서의 안전한 통신을 제안한 대부분 논문은 종단 간 데이터 프라이버시가 지켜지지 않았다. 따라서 본 논문에서는 모바일 싱크 노드와 센서 노드 간 인증부터 모바일 싱크 노드가 센서 데이터를 기지국까지 안전하게 중계하는 통합적 보안 모델을 처음으로 제안한다. 또한, 제안한 프로토콜의 안전성을 비공식적으로 입증하고 알려진 다양한 공격으로부터 안전함을 보인다. 마지막으로 기존에 제시된 IoD 환경에서 안전한 키 교환을 주제로 한 기법들과 통신 오버헤드를 비교해 본 논문에서 제시한 기법이 우수하다는 것을 보여준다.

화강암의 실내 가열실험에 대한 수치해석적 검토 (Numerical Analysis of Laboratory Heating Experiment on Granite Specimen)

  • 윤동준;손장윤;장리
    • 터널과지하공간
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    • 제32권6호
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    • pp.558-567
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    • 2022
  • 고준위방사성폐기물의 지중저장 안정성 평가의 일환으로 가열 중인 화강암의 온도변화와 열응력 발생 양상을 파악하기 위하여 가열실험을 실시하였다. 폐기물의 붕괴열 발생조건을 가정하고 정육면체 형태의 화강암 시편에 적용하여 온도와 변위의 분포를 측정하였다. 시편의 온도는 가열봉에서 발생하는 전도로 인하여 즉각적으로 상승하지만 동시에 외기에 노출되거나 하중재하장치에 접촉되어 있는 표면을 통하여 상당한 양의 열에너지가 소산되었다. 해당 실험에 대한 분석과 이해를 위해 실험조건을 삼차원 유한요소 수치해석으로 재구현하였다. 실험에서 관찰된 열-역학 연계 현상과 주변조건의 변화를 해석에 적용하고 이를 실내실험 결과와 비교하여 검증하였다. 이를 통해 가열실험에 영향을 주는 인자들을 분석하고 향후 관련 연구에서 고려되어야 할 부분을 요약하였다.

시장수요예측 모델을 활용한 서울시 수소차 충전시설의 입지선정 우선순위에 관한 연구 (A Study on the Priority of Site Selection for Hydrogen Vehicle Charging Facilities in Seoul Using a Market Demand Prediction Model)

  • 김진식;장국진;이주연;정명석
    • 시스템엔지니어링학술지
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    • 제18권2호
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    • pp.140-148
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    • 2022
  • Hydrogen is expected to be widely applied in most sectors within the current energy system, such as transportation and logistics, and is expected to be economically and technologically utilized as a power source to achieve vehiclebon emission reduction. In particular, the construction of hydrogen charging station infrastructure will not only support the distribution of hydrogen electric vehicles, but also play an important role in building a hydrogen logistics system. Therefore, This paper suggest additional charging infrastructure areas in Seoul with a focus on supply according to the annual average growth rate (CAGR), centering on Seoul, where hydrogen vehicles are most widely distributed. As of February 2022, hydrogen charging infrastructures were installed in Gangseo-gu, Gangdong-gu, Mapo-gu, Jung-gu, and Seocho-gu in downtown Seoul. Next, looking at the number of hydrogen vehicles by administrative dong in Seoul from 2018 to 2022, Seocho-gu has the most with 246 as of 2022, and Dongjak-gu has the highest average growth rate of 215.4% with a CAGR of 215.4%. Therefore, as a result of CAGR analysis, Dongjak-gu is expected to supply the most hydrogen vehicles in the future, and Seocho-gu currently has the most hydrogen vehicles, so it is likely that additional hydrogen charging infrastructure will be needed between Dongjak-gu and Seocho-gu.

Comparative genetic analyses of Korean bat coronaviruses with SARS-CoV and the newly emerged SARS-CoV-2

  • Na, Eun-Jee;Lee, Sook-Young;Kim, Hak Jun;Oem, Jae-Ku
    • Journal of Veterinary Science
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    • 제22권1호
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    • pp.12.1-12.11
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    • 2021
  • Background: Bats have been considered natural reservoirs for several pathogenic human coronaviruses (CoVs) in the last two decades. Recently, a bat CoV was detected in the Republic of Korea; its entire genome was sequenced and reported to be genetically similar to that of the severe acute respiratory syndrome CoV (SARS-CoV). Objectives: The objective of this study was to compare the genetic sequences of SARS-CoV, SARS-CoV-2, and the two Korean bat CoV strains 16BO133 and B15-21, to estimate the likelihood of an interaction between the Korean bat CoVs and the human angiotensin-converting enzyme 2 (ACE2) receptor. Methods: The phylogenetic analysis was conducted with the maximum-likelihood (ML) method using MEGA 7 software. The Korean bat CoVs receptor binding domain (RBD) of the spike protein was analyzed by comparative homology modeling using the SWISS-MODEL server. The binding energies of the complexes were calculated using PRODIGY and MM/GBGA. Results: Phylogenetic analyses of the entire RNA-dependent RNA polymerase, spike regions, and the complete genome revealed that the Korean CoVs, along with SARS-CoV and SARS-CoV-2, belong to the subgenus Sarbecovirus, within BetaCoVs. However, the two Korean CoVs were distinct from SARS-CoV-2. Specifically, the spike gene of the Korean CoVs, which is involved in host infection, differed from that of SARS-CoV-2, showing only 66.8%-67.0% nucleotide homology and presented deletions within the RBD, particularly within regions critical for cross-species transmission and that mediate interaction with ACE2. Binding free energy calculation revealed that the binding affinity of Korean bat CoV RBD to hACE2 was drastically lower than that of SARS-CoV and SARS-CoV-2. Conclusions: These results suggest that Korean bat CoVs are unlikely to bind to the human ACE2 receptor.

Optimised neural network prediction of interface bond strength for GFRP tendon reinforced cemented soil

  • Zhang, Genbao;Chen, Changfu;Zhang, Yuhao;Zhao, Hongchao;Wang, Yufei;Wang, Xiangyu
    • Geomechanics and Engineering
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    • 제28권6호
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    • pp.599-611
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    • 2022
  • Tendon reinforced cemented soil is applied extensively in foundation stabilisation and improvement, especially in areas with soft clay. To solve the deterioration problem led by steel corrosion, the glass fiber-reinforced polymer (GFRP) tendon is introduced to substitute the traditional steel tendon. The interface bond strength between the cemented soil matrix and GFRP tendon demonstrates the outstanding mechanical property of this composite. However, the lack of research between the influence factors and bond strength hinders the application. To evaluate these factors, back propagation neural network (BPNN) is applied to predict the relationship between them and bond strength. Since adjusting BPNN parameters is time-consuming and laborious, the particle swarm optimisation (PSO) algorithm is proposed. This study evaluated the influence of water content, cement content, curing time, and slip distance on the bond performance of GFRP tendon-reinforced cemented soils (GTRCS). The results showed that the ultimate and residual bond strengths were both in positive proportion to cement content and negative to water content. The sample cured for 28 days with 30% water content and 50% cement content had the largest ultimate strength (3879.40 kPa). The PSO-BPNN model was tuned with 3 neurons in the input layer, 10 in the hidden layer, and 1 in the output layer. It showed outstanding performance on a large database comprising 405 testing results. Its higher correlation coefficient (0.908) and lower root-mean-square error (239.11 kPa) were obtained compared to multiple linear regression (MLR) and logistic regression (LR). In addition, a sensitivity analysis was applied to acquire the ranking of the input variables. The results illustrated that the cement content performed the strongest influence on bond strength, followed by the water content and slip displacement.

Bending analysis of nano-SiO2 reinforced concrete slabs resting on elastic foundation

  • Mohammed, Chatbi;Baghdad, Krour;Mohamed A., Benatta;Zouaoui R., Harrat;Sofiane, Amziane;Mohamed Bachir, Bouiadjra
    • Structural Engineering and Mechanics
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    • 제84권5호
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    • pp.685-697
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    • 2022
  • Nanotechnology has become one of the interesting technique used in material science and engineering. However, it is low used in civil engineering structures. The purpose of the present study is to investigate the static behavior of concrete plates reinforced with silica-nanoparticles. Due to agglomeration effect of silica-nanoparticles in concrete, Voigt's model is used for obtaining the equivalent nano-composite properties. Furthermore, the plate is simulated mathematically with higher order shear deformation theory. For a large use of this study, the concrete plate is assumed resting on a Pasternak elastic foundation, including a shear layer, and Winkler spring interconnected with a Kerr foundation. Using the principle of virtual work, the equilibrium equations are derived and by the mean of Hamilton's principle the energy equations are obtained. Finally, based on Navier's technique, closed-form solutions of simply supported plates have been obtained. Numerical results are presented considering the effect of different parameters such as volume percent of SiO2 nanoparticles, mechanical loads, geometrical parameters, soil medium, on the static behavior of the plate. The most findings of this work indicate that the use of an optimum amount of SiO2 nanoparticles on concretes increases better mechanical behavior. In addition, the elastic foundation has a significant impact on the bending of concrete slabs.

Estimation of unused forest biomass potential resource amount in Korea

  • Sangho Yun;Sung-Min Choi;Joon-Woo Lee;Sung-Min Park
    • 농업과학연구
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    • 제49권2호
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    • pp.317-330
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    • 2022
  • Recently, the policy regarding climate change in Korea and overseas has been to promote the utilization of forest biomass to achieve net zero emissions. In addition, with the implementation of the unused forest biomass system in 2018, the size of the Korean market for manufacturing wood pellets and wood chips using unused forest biomass is rapidly expanding. Therefore, it is necessary to estimate the total amount of unused forest biomass that can be used as an energy source and to identify the capacity that can be continuously produced annually. In this study, we estimated the actual forest area that can be produced of logging residue and the potential amount of unused forest biomass resources based on GT (green ton). Using a forest functions classification map (1 : 25,000), 5th digital forest type map (1 : 25,000), and digital elevation model (DEM), the forest area with a slope of 30° or less and mountain ridges of 70% or less was estimated based on production forest and IV age class or more. The total forest area where unused forest biomass can be produced was estimated to be 1,453,047 ha. Based on GT, the total amount of unused forest biomass potential resources in Korea was estimated to be 117,741,436 tons. By forest type, coniferous forests were estimated to be 48,513,580 tons (41.2%), broad-leaved forests 27,419,391 tons (23.3%), and mixed forests 41,808,465 tons (35.5%). Data from this research analysis can be used as basic data to estimate commercial use of unused forest biomass.

구리가 함침된 하이드로탈사이트 촉매의 고유 키네틱 데이터를 이용한 메탄올 수증기 개질반응의 고정층 반응기 CFD 시뮬레이션 (FBR CFD Simulation of Steam Methanol Reforming Reaction using Intrinsic Kinetic Data of Copper-impregnated Hydrotalcite Catalyst)

  • 이재혁;신동일;안호근
    • 한국가스학회지
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    • 제27권1호
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    • pp.78-85
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    • 2023
  • 구리가 함침된 하이드로탈사이트 촉매의 고유 키네틱 데이터를 이용하여 메탄올 수증기 개질 반응의 고정층 반응기 Computational Fluid Dynamics(CFD) 시뮬레이션을 수행하였다. 이전 연구결과로부터 얻어진 20wt%의 구리가 함침된 하이드로탈사이트 촉매의 활성화 에너지는 97.4 kJ/mol, 전 지수 인자는 5.904 × 1010를 이용하였다. 그리고 고유의 키네틱 데이터를 사용하여 반응온도 (200-450 ℃) 및 메탄올과 물의 몰비 변화에 따른 전환율을 관찰하였다. 또한 위의 키네틱 상수를 power law 모델을 사용하여 Axial 2D Symmetry 시뮬레이션을 통해 상용반응기(I.D. 0.05 - 0.1 m, Length 1 m)의 열 및 물질유동해석을 예측하였다.

저속 충격 하중을 받은 탄소섬유강화 복합재 압력용기의 잔류강도 저하 평가 (Evaluation of Residual Strength of CFRP Pressure Vessel After Low Velocity Impact)

  • 박재범;김동륜;김형근;황태경
    • Composites Research
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    • 제21권3호
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    • pp.9-17
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    • 2008
  • 본 논문에서는 저속충격하중을 받은 필라멘트 와인딩 탄소섬유강화 복합재 압력용기의 잔류강도 저하특성에 대한 수치해석 및 실험결과에 대해서 논한다. 복합재 압력용기의 원통부의 여러 곳에 대해 낙하 공구의 끝단을 모사한 삼각형 충격자를 사용한 저속 충격시험이 실시되었고, 유한요소해석을 수행하여 충격시의 기계적 변형 및 응력분포 거동에 대한 예측을 실시하였다. 충격하중을 받은 복합재 압력용기의 잔류강도 저하 특성을 정량적으로 평가하기 위해, 충격부위를 포함하는 원환시편을 압력용기의 실린더부로부터 채취하여, 원주방향 내압인장강도 측정 수압시험법으로부터, 원환시편의 수압파열 압력을 측정하였다. 결과적으로 본 연구를 통해 충격 에너지의 수준에 따른 잔류강도 변화가 성공적으로 계측되었으며, 복합재 압력용기의 충격손상허용을 정량적으로 평가하기 위한 유용한 방법론이 정립되었다.

An integral quasi-3D computational model for the hygro-thermal wave propagation of imperfect FGM sandwich plates

  • Abdelouahed Tounsi;Saeed I. Tahir;Mohammed A. Al-Osta;Trinh Do-Van;Fouad Bourada;Abdelmoumen Anis Bousahla;Abdeldjebbar Tounsi
    • Computers and Concrete
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    • 제32권1호
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    • pp.61-74
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    • 2023
  • This article investigates the wave propagation analysis of the imperfect functionally graded (FG) sandwich plates based on a novel simple four-variable integral quasi-3D higher-order shear deformation theory (HSDT). The thickness stretching effect is considered in the transverse displacement component. The presented formulation ensures a parabolic variation of the transverse shear stresses with zero-stresses at the top and the bottom surfaces without requiring any shear correction factors. The studied sandwich plates can be used in several sectors as areas of aircraft, construction, naval/marine, aerospace and wind energy systems, the sandwich structure is composed from three layers (two FG face sheets and isotropic core). The material properties in the FG faces sheet are computed according to a modified power law function with considering the porosity which may appear during the manufacturing process in the form of micro-voids in the layer body. The Hamilton principle is utilized to determine the four governing differential equations for wave propagation in FG plates which is reduced in terms of computation time and cost compared to the other conventional quasi-3D models. An eigenvalue equation is formulated for the analytical solution using a generalized displacements' solution form for wave propagation. The effects of porosity, temperature, moisture concentration, core thickness, and the material exponent on the plates' dispersion relations are examined by considering the thickness stretching influence.