基于用地和交通特征的停车需求预测模型

为了解决城市停车难问题, 对停车需求进行合理预测, 考虑目前日益紧张的土地资源和快速增长的交通流量, 分析了用地与交通影响预测模型建立的基本原理, 采用用地特征函数描述了土地使用性质与停车生成率之间的关系, 采用交通影响函数分析了路网流量增长率和停车率对停车需求的影响, 在此基础上建立了停车需求预测模型。利用开发的软件系统, 根据典型区域的土地资源规划和道路交通调查数据, 进行了城市停车需求预测。预测结果表明: 随着时间的变化, 在各种因素影响下, 停车需求近5 a增长较缓慢, 而在随后的5 a中停车需求快速增长, 且日停车需求量的增长速度明显高于高峰小时的增长速度。     

平阳霉素局部注射对鼻息肉病息肉组织病理学的影响

目的通过观察平阳霉素治疗前后鼻息肉病息肉组织的病理变化情况,探讨平阳霉素治疗鼻息肉病的机制。方法应用末端脱氧核苷酸转移酶介导的脱氧三磷酸尿苷缺口末端标记法(TUNEL法)检测凋亡细胞,与相邻连续的HE染色片对位对照观察嗜酸性粒细胞的凋亡情况。结果平阳霉素治疗前鼻息肉组织嗜酸性粒细胞表达显著高于正常下鼻甲(P<0.01);治疗后鼻息肉组织中的嗜酸性粒细胞表达明显低于治疗前(P<0.01);治疗后鼻息肉组织中嗜酸性粒细胞的凋亡指数高于治疗前(P<0.01)。结论嗜酸性粒细胞是鼻息肉病息肉组织中主要的浸润炎细胞;平阳霉素可通过促进嗜酸性粒细胞凋亡达到治疗鼻息肉病的目的。     

基于利益相关者理论对平衡计分卡基本分析框架的修正

平衡计分卡理论从利益相关者角度分析企业业绩评价问题,但在指标体系设计中,该理论并没有很好反映企业与政府、社区等利益相关者之间的关系,这点在现代企业竞争中非常重要,尤其是在我国这样一个市场经济体制还不健全的市场中,忽视与政府和社区的关系显然是一个较严重的缺陷。因此,我国引入平衡计分卡理论,机械地照搬其理论框架并不能很好地解决我国企业的业绩评价问题。本文在界定企业的利益相关者的基础上,对该理论框架增补了一个社会责任维度,将政府与社区作为两个关键的利益相关者纳入企业的评价范围,旨在使该理论本土化,为我国战略业绩评价体系的构建提供较科学的理论基础。     

交通运输方式协调发展的状态评价

为促进道路运输、铁路运输、水路运输与航空运输的协调发展, 根据各运输方式的系统构成, 分别从数量和质量方面提出了反映各运输方式发展水平的指标体系, 利用主成分分析方法, 对中国1995~2005年各运输方式的综合发展水平进行了计算, 并建立了综合发展水平的隶属度模型, 对它们之间的协调状态进行了评价。评价结果表明: 运输方式之间的平均静态协调度为0.297 8, 说明目前中国各运输方式虽然得到快速发展, 但彼此之间的发展并不协调。为改变这种不协调发展状态, 提出运输方式之间相互促进与相互配合的发展理念, 完善运输政策体系, 充分开发和利用各种运输方式, 建立真正意义上的综合运输枢纽。     

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.