Total Cloud Cover （TCC） over China deter- mined from four climate datasets including the Interna- tional Satellite Cloud Climatology Project （ISCCP）, the 40-year Re-Analysis Project of the European Centre for Medi...Total Cloud Cover （TCC） over China deter- mined from four climate datasets including the Interna- tional Satellite Cloud Climatology Project （ISCCP）, the 40-year Re-Analysis Project of the European Centre for Medium-Range Weather Forecasts （ERA-40）, Climate Research Unit Time Series 3.0 （CRU3）, and ground sta- tion datasets are used to show spatial and temporal varia- tion of TCC and their differences. It is demonstrated that the four datasets show similar spatial pattern and seasonal variation. The maximum value is derived from ISCCE TCC value in North China derived from ERA-40 is 50% larger than that from the station dataset; however, the value is 50% less than that in South China. The annual TCC of ISCCP, ERA-40, and ground station datasets shows a decreasing trend during 1984-2002; however, an increasing trend is derived from CRU3. The results of this study imply remarkable differences of TCC derived from surface and satellite observations as well as model simu- lations. The potential effects of these differences on cloud climatology and associated climatic issues should be carefully considered.展开更多
This paper evaluates and discusses ways to use five energy resources more efficiently for generating electric power. An analysis of five different 10 MW powerplants was made</span></span><span style=&qu...This paper evaluates and discusses ways to use five energy resources more efficiently for generating electric power. An analysis of five different 10 MW powerplants was made</span></span><span style="font-size:12px;font-family:Verdana;"><span style="font-size:12px;font-family:Verdana;"><span style="font-family:Verdana;font-size:12px;">:</span></span></span><span style="font-size:12px;font-family:Verdana;"><span style="font-size:12px;font-family:Verdana;"><span style="font-family:Verdana;font-size:12px;"> a photovoltaic system, a concentrated solar power system, wind turbines, a natural gas combined cycle and an integrated solar combined cycle. Also, each power plant’s operating principle, thermodynamic analysis, economic analysis, and simulation evaluation w</span></span></span><span style="font-size:12px;font-family:Verdana;"><span style="font-size:12px;font-family:Verdana;"><span style="font-family:Verdana;font-size:12px;">ere</span></span></span><span style="font-size:12px;font-family:Verdana;"><span style="font-size:12px;font-family:Verdana;"><span style="font-family:Verdana;font-size:12px;"> made using the System Advisor Model (SAM), Engineering Equation Solver (EES), and the Thermoflow Power Plant Simulation program. From the analysis, the power plant capacity factor, grid availability, levelized cost of electricity, and annual energy production are compared and analyzed to determine a suitable power plant for a given location.展开更多
随着6G通信技术的蓬勃发展,通感融算(integrated sensing,computing and communication,ISCC)正成为推动空天地一体化网络演进的重要动力。从ISCC的核心概念出发,讨论了其在空天地一体化网络中的关键作用,提出了一种基于ISCC赋能的两级...随着6G通信技术的蓬勃发展,通感融算(integrated sensing,computing and communication,ISCC)正成为推动空天地一体化网络演进的重要动力。从ISCC的核心概念出发,讨论了其在空天地一体化网络中的关键作用,提出了一种基于ISCC赋能的两级管理与编排的网络架构,并对该架构的关键技术进行了分析。最后,总结了当前该领域所面临的挑战,并展望了未来的发展趋势,以期为6G时代空天地一体化网络的构建提供参考和借鉴。展开更多
随着第六代移动通信网络(6th generation mobile network,6G)的不断发展,通感算一体化技术已成为提升未来网络性能和智能化水平的关键技术之一。通感算一体化网络将通信、感知和计算能力深度融合,实现了对信息的全方位获取、传输和处理...随着第六代移动通信网络(6th generation mobile network,6G)的不断发展,通感算一体化技术已成为提升未来网络性能和智能化水平的关键技术之一。通感算一体化网络将通信、感知和计算能力深度融合,实现了对信息的全方位获取、传输和处理,为各类应用场景提供强有力的技术支撑。全面综述了通感算在6G中的应用及其关键技术,探讨了通感算在低空经济、移动通信系统、智能交通系统、工业互联网与智能制造、智慧城市与环境监测等领域中的广泛应用,并深入讨论了通感算融合技术的核心技术,包括通信感知融合(integrated sensing and communication,ISC)技术、通信计算融合(integrated communication and computation,ICC)技术、感知计算融合(integrated sensing and computation,ISAC)技术、通感算融合(integrated sensing,communication,and computation,ISCC)技术及通感算智融合(integrated sensing,communication,computation and intelligence,ISCCI)技术的最新进展。展望了通感算一体化网络在6G时代的发展趋势,重点分析了未来面临的挑战与研究方向。展开更多
Toray Industries,Inc.announced that from this April,it will im-plement the mass balance approach in manufacturing its TORAY-LON TMacrylic staple fiber.This method attributes properties fromboth biomass and plastic was...Toray Industries,Inc.announced that from this April,it will im-plement the mass balance approach in manufacturing its TORAY-LON TMacrylic staple fiber.This method attributes properties fromboth biomass and plastic waste,contributing to sustainabillty.Thecompany has already secured ISCC(nternational Sustainability&Carbon Certification)PLUScertification for this initiative.展开更多
无人机(Unmanned Aerial Vehicle,UAV)辅助的通感算一体化(Integrated Sensing,Communication,and Computation,ISCC)作为第六代移动通信技术(6th Generation Mobile Communication System,6G)的重要组成部分,以协同优化的方式提升系统...无人机(Unmanned Aerial Vehicle,UAV)辅助的通感算一体化(Integrated Sensing,Communication,and Computation,ISCC)作为第六代移动通信技术(6th Generation Mobile Communication System,6G)的重要组成部分,以协同优化的方式提升系统性能。通过整理现有研究关注的核心性能指标,简单概括了UAV-ISCC系统中经典的模型,对2种UAV辅助ISCC系统下的资源分配研究进行概述,包括UAV作为中继与协同感知节点辅助ISCC系统和多UAV辅助ISCC系统的2种场景。简要概括了UAV-ISCC系统所使用的经典优化算法并进行比对,深入探讨这些场景下所优化的关键性能指标,涵盖的指标包括数据吞吐量、信息年龄(Age of Information,AoI)、服务成功率和能效等。同时总结解决UAV辅助ISCC系统中资源优化问题的主要技术方法,包括凸优化、分解算法以及新兴的深度强化学习(Deep Reinforcement Learning,DRL)等。总结当前面临的挑战并对未来研究做出展望,主要贡献可概括为:从优化范式和系统架构2个维度对UAV-ISCC系统资源分配研究进行系统性归纳,总结了在不同场景下各类优化方法的优劣势,深入探讨了UAV-ISCC系统未来发展的方向。展开更多
基金supported by the "Strategic Priority Research Program" of the Chinese Academy of Sciences(XDA05100300)the National Basic Research Program of China(2013CB955801)the National Natural Science Foundation of China(41175030)
文摘Total Cloud Cover （TCC） over China deter- mined from four climate datasets including the Interna- tional Satellite Cloud Climatology Project （ISCCP）, the 40-year Re-Analysis Project of the European Centre for Medium-Range Weather Forecasts （ERA-40）, Climate Research Unit Time Series 3.0 （CRU3）, and ground sta- tion datasets are used to show spatial and temporal varia- tion of TCC and their differences. It is demonstrated that the four datasets show similar spatial pattern and seasonal variation. The maximum value is derived from ISCCE TCC value in North China derived from ERA-40 is 50% larger than that from the station dataset; however, the value is 50% less than that in South China. The annual TCC of ISCCP, ERA-40, and ground station datasets shows a decreasing trend during 1984-2002; however, an increasing trend is derived from CRU3. The results of this study imply remarkable differences of TCC derived from surface and satellite observations as well as model simu- lations. The potential effects of these differences on cloud climatology and associated climatic issues should be carefully considered.
文摘This paper evaluates and discusses ways to use five energy resources more efficiently for generating electric power. An analysis of five different 10 MW powerplants was made</span></span><span style="font-size:12px;font-family:Verdana;"><span style="font-size:12px;font-family:Verdana;"><span style="font-family:Verdana;font-size:12px;">:</span></span></span><span style="font-size:12px;font-family:Verdana;"><span style="font-size:12px;font-family:Verdana;"><span style="font-family:Verdana;font-size:12px;"> a photovoltaic system, a concentrated solar power system, wind turbines, a natural gas combined cycle and an integrated solar combined cycle. Also, each power plant’s operating principle, thermodynamic analysis, economic analysis, and simulation evaluation w</span></span></span><span style="font-size:12px;font-family:Verdana;"><span style="font-size:12px;font-family:Verdana;"><span style="font-family:Verdana;font-size:12px;">ere</span></span></span><span style="font-size:12px;font-family:Verdana;"><span style="font-size:12px;font-family:Verdana;"><span style="font-family:Verdana;font-size:12px;"> made using the System Advisor Model (SAM), Engineering Equation Solver (EES), and the Thermoflow Power Plant Simulation program. From the analysis, the power plant capacity factor, grid availability, levelized cost of electricity, and annual energy production are compared and analyzed to determine a suitable power plant for a given location.
文摘随着6G通信技术的蓬勃发展,通感融算(integrated sensing,computing and communication,ISCC)正成为推动空天地一体化网络演进的重要动力。从ISCC的核心概念出发,讨论了其在空天地一体化网络中的关键作用,提出了一种基于ISCC赋能的两级管理与编排的网络架构,并对该架构的关键技术进行了分析。最后,总结了当前该领域所面临的挑战,并展望了未来的发展趋势,以期为6G时代空天地一体化网络的构建提供参考和借鉴。
文摘随着第六代移动通信网络(6th generation mobile network,6G)的不断发展,通感算一体化技术已成为提升未来网络性能和智能化水平的关键技术之一。通感算一体化网络将通信、感知和计算能力深度融合,实现了对信息的全方位获取、传输和处理,为各类应用场景提供强有力的技术支撑。全面综述了通感算在6G中的应用及其关键技术,探讨了通感算在低空经济、移动通信系统、智能交通系统、工业互联网与智能制造、智慧城市与环境监测等领域中的广泛应用,并深入讨论了通感算融合技术的核心技术,包括通信感知融合(integrated sensing and communication,ISC)技术、通信计算融合(integrated communication and computation,ICC)技术、感知计算融合(integrated sensing and computation,ISAC)技术、通感算融合(integrated sensing,communication,and computation,ISCC)技术及通感算智融合(integrated sensing,communication,computation and intelligence,ISCCI)技术的最新进展。展望了通感算一体化网络在6G时代的发展趋势,重点分析了未来面临的挑战与研究方向。
文摘Toray Industries,Inc.announced that from this April,it will im-plement the mass balance approach in manufacturing its TORAY-LON TMacrylic staple fiber.This method attributes properties fromboth biomass and plastic waste,contributing to sustainabillty.Thecompany has already secured ISCC(nternational Sustainability&Carbon Certification)PLUScertification for this initiative.
文摘无人机(Unmanned Aerial Vehicle,UAV)辅助的通感算一体化(Integrated Sensing,Communication,and Computation,ISCC)作为第六代移动通信技术(6th Generation Mobile Communication System,6G)的重要组成部分,以协同优化的方式提升系统性能。通过整理现有研究关注的核心性能指标,简单概括了UAV-ISCC系统中经典的模型,对2种UAV辅助ISCC系统下的资源分配研究进行概述,包括UAV作为中继与协同感知节点辅助ISCC系统和多UAV辅助ISCC系统的2种场景。简要概括了UAV-ISCC系统所使用的经典优化算法并进行比对,深入探讨这些场景下所优化的关键性能指标,涵盖的指标包括数据吞吐量、信息年龄(Age of Information,AoI)、服务成功率和能效等。同时总结解决UAV辅助ISCC系统中资源优化问题的主要技术方法,包括凸优化、分解算法以及新兴的深度强化学习(Deep Reinforcement Learning,DRL)等。总结当前面临的挑战并对未来研究做出展望,主要贡献可概括为:从优化范式和系统架构2个维度对UAV-ISCC系统资源分配研究进行系统性归纳,总结了在不同场景下各类优化方法的优劣势,深入探讨了UAV-ISCC系统未来发展的方向。
