组团式大城市客运综合换乘枢纽布局规划方法

为了使客运综合换乘枢纽布局适应中国大城市用地布局特征, 分析了枢纽布局与城市土地利用、客运需求走廊分布和交通网络的关系, 提出了宏观布局、微观选址的枢纽布局规划方法。宏观布局以公交导线土地开发为理念, 确定枢纽的选址区域; 微观选址以提高居民出行效率为目标, 以用地性质、平均容积率及与客运需求走廊的距离为约束, 建立非线性选址规划模型, 确定枢纽的最佳位置。应用结果表明: 应用该方法确定的枢纽选址区域与多中心组团式城市用地布局规划相一致, 枢纽选址确定的最佳位置, 其500 m半径范围内覆盖的人口和就业岗位最高, 而且能有效地反映枢纽布局与城市土地利用的互动性。     

应用激光捕获显微切割技术制备肺癌蛋白质组学研究样品

目的探讨应用激光捕获显微切割(laser capture microdissection,LCM)技术获取高同质性肺癌组织细胞及正常对照肺泡上皮细胞的方法及可行性。方法将新鲜肺癌组织标本及其配对正常组织常规制备8μm冰冻切片,采用改良的HE方法染色;应用LCM技术大宗切割肺鳞癌、腺癌及正常对照肺泡上皮细胞;选择性获取同质肺癌细胞和配对正常细胞。结果通过LCM技术可以准确、快速地分离癌细胞、间质及其他坏死组织,得到同质性不低于95%的肿瘤细胞和正常细胞。按照Duration 15.5 s的激光脉冲频率和平均8 000 shots条件,既可保证每个帽子的细胞收集数量,也能够有效地缩短实验时间,提高实验可控性,从而使操作过程标准化。结论应用LCM技术可以成功获取同质肺癌细胞和正常细胞。其所需标本量少、组织同质性高、操作过程稳定、可控性好,是肺癌分子生物学及蛋白质组学研究有价值的样品制备方法。     

沥青混合料抗车辙性能的分形描述方法

为了准确模拟沥青混合料抗车辙性能, 采用分形理论分析了沥青混合料微观结构, 研究了粗细集料不同级配分形维数对沥青混合料抗车辙性能的影响, 并根据级配分形维数公式计算了沥青混合料的分形值, 进行了沥青混合料车辙试验和微观结构的电子扫描。分析结果表明: 4.75 mm通过率是集料尺度的分界点, 集料分形维数与抗车辙性能有一致相关性, 分形值越大, 抗车辙能力越高; 根据路用性能设计集料级配可以定量地分析沥青混合料的级配差异和路面性能, 及路面微观结构与宏观路用性能的关系。     

初探城际公路维修——冷再生施工

城际公路的堆修是现有城际公路面临的一个关键问题,如何在不影响正常交通的情况下进行城际公路的维修。对已损坏的油面铣刨废弃太浪费,加铺结构层后,道路标高增加很多,增加基层材料,浪费大量的资源,破坏环境,增加附近路网交通量,冷再生施工可以解决这些问题。     

Research on Spatially Adaptive High-Order Total Variation Model for Weak Fluorescence Image Restoration

Photoacoustic imaging acquires the absorption contrast of biological tissue with ultrasound resolution. It has been broadly investigated in biomedicine for animal and clinical studies. Recently, a micro-electro-mechanical system (MEMS) scanner has been utilized in photoacoustic imaging systems to enhance their performance and extend the realm of applications. The review provides a recap of recent developments in photoacoustic imaging using MEMS scanner, from instrumentation to applications. The topics include the design of MEMS scanner, its use in photoacoustic microscopy, miniature imaging probes, development of dual-modality systems, as well as cutting-edge bio-imaging studies.     

Full Duplex Communications for Next Generation Cellular Networks: The Capacity Gain

Full duplex communication highly improves spectrum efficiency of a wireless communication link. However, when it is applied to a cellular network, the capacity gain from this technology remains unknown. The reason is that full duplex communication changes the aggregate interference experienced by each communication link in cellular networks. In this paper, the capacity gain from full duplex communication is studied for cellular networks of 4G and beyond, where the same frequency channel is adopted in each cell. A two-layer Poisson point process (PPP) is adopted to model the network topology, and stochastic geometry is employed to derive the coverage probability and the average capacity of typical link in a cellular network. On the basis of these derived parameters, the capacity gain from full duplex communication is determined. Numerical results reveal that without mutual interference cancellation (MIC), the capacity gain is small under various power levels; with perfect MIC at base stations, the capacity gain can exceed 60%; with imperfect MIC at base stations, the capacity gain decreases quickly even with a slight drop of MIC performance.     

Optimal Threshold Policies for Robust Data Center Control

With the simultaneous rise of energy costs and demand for cloud computing, efficient control of data centers becomes crucial. In the data center control problem, one needs to plan at every time step how many servers to switch on or off in order to meet stochastic job arrivals while trying to minimize electricity consumption. This problem becomes particularly challenging when servers can be of various types and jobs from different classes can only be served by certain types of server, as it is often the case in real data centers. We model this problem as a robust Markov decision process (i.e., the transition function is not assumed to be known precisely). We give sufficient conditions (which seem to be reasonable and satisfied in practice) guaranteeing that an optimal threshold policy exists. This property can then be exploited in the design of an efficient solving method, which we provide. Finally, we present some experimental results demonstrating the practicability of our approach and compare with a previous related approach based on model predictive control.     

Estimation of Load-Induced Damage and Repair Cost in Post-Tensioned Concrete Rocking Walls

Post-tensioned concrete rocking walls might be used to avoid severe seismic damage at the base of structural walls, decrease residual drift, and lessen post-earthquake repair costs. The prediction of load-induced damage to the rocking wall resulting from seismic loading can provide an extremely valuable tool to evaluate the status and safety of structural concrete walls following earthquakes. In this study, the behavior and the damage state of monolithic, self-centering, rocking walls, as a new type of concrete rocking wall, are investigated. The nonlinear mechanical behavior of the wall is first modeled numerically, and subsequently the mechanical parameters from the numerical simulation are used to generate the local damage index. The results from the damage index model are compared with the full-scale test results, confirming the viability of the numerically based damage index method for estimating the seismically induced damage in concrete walls. Moreover, the estimated damage can be utilized as a qualitative and quantitative scale to assess the status of the wall following seismic loading events. Finally, an equation is proposed to estimate the repair cost based on the predicted damage state for the studied structural system.     

Decomposing and Cluster Refinement Design Method for Application-Specific Network-on-Chips

Along with higher and higher integration of intellectual properties (IPs) on a single chip, traditional bus-based system-on-chips (SoC) meets several design difficulties (such as low scalability, high power consumption, packet latency and clock tree problem). As a promising solution, network-on-chips (NoC) has been proposed and widely studied. In this work, a novel algorithm for NoC topology synthesis, which is decomposing and cluster refinement (DCR) algorithm, has been proposed to minimize the total power consumption of application-specific NoC. This algorithm is composed of two stages: decomposing with cluster generation, and cluster refinement. For partitioning and cluster generation, an initial low-power solution for NoC topology is generated. For cluster refinement, the clustering is optimized by performing floorplan to further reduce power consumption. Meanwhile, a good tradeoff between power consumption and CPU time can be achieved. Experimental results show that the proposed method outperforms the existing work.     

Research on Web Page Classification Method Based on Query Log

Web page classification is an important application in many fields of Internet information retrieval, such as providing directory classification and vertical search. Methods based on query log which is a light weight version of Web page classification can avoid Web content crawling, making it relatively high in efficiency, but the sparsity of user click data makes it difficult to be used directly for constructing a classifier. To solve this problem, we explore the semantic relations among different queries through word embedding, and propose three improved graph structure classification algorithms. To reflect the semantic relevance between queries, we map the user query into the low-dimensional space according to its query vector in the first step. Then, we calculate the uniform resource locator (URL) vector according to the relationship between the query and URL. Finally, we use the improved label propagation algorithm (LPA) and the bipartite graph expansion algorithm to classify the unlabeled Web pages. Experiments show that our methods make about 20% more increase in F1-value than other Web page classification methods based on query log.