A new construction for the statistical theory of the nonextensive systems

We propose a new statistical theory for classical and quantum small systems.It is a generalized scheme of the Boltzmann–Gibbs statistical theory by extending the Boltzmann–Gibbs statistical factor from infinite systems to finite systems based on the microcanonical ensemble distribution function and keeping this factor in all thermodynamic processes.We reconstruct the statistical theory for finite systems by obtaining the expression of the average particle number and the thermodynamic quantities such as entropy and specific heat,in the finite systems.We also explore the discontinuous phase transitions in the interacting classical nanoscale gases without the thermodynamic limit.     

Statistical analysis on protein-protein interface in crystals： Specific and non-specific interfaces are differentially distributed

The distribution of contact areas, or fractions of contacting, of protein-protein interfaces in crystals of pure polypeptides contains two components: a major exponential distribution and a minor flatter distribution. Suppose the two components belong to specific and non-specific contacts,respectively, then the probability of a contact with a givena rea, or fraction of contacting, can be estimated. By dividing the whole database into two sub-databases, one of them is known to contain more specific contacts than the other, this hypothesis is confirmed and it is also proved that the fraction of contacting is more effective than the contact area on discriminating specific and non-specific contacts in protein crystals.     

Comfort of Light-weight Wool and Wool Blend Woven Fabrics

The comfort of the light-weight woven fabrics was investigated by conducting the wear trials under the controlled climatic conditions. The wear trial under the neutral environmental conditions showed that the lightweight wool and wool blend fabrics are generally less comfortable than the silk fabric, cotton poplin and polyester/cotton poplin fabrics tested in this study. The main shortcoming in terms of comfort for these lightweight wool fabrics is the prickle. Besides, the fabric softness was found to be a very important factor influencing the comfort of the clothing worn next to the skin.     

Iterative Multiuser Receiver Based on Factor Graph for Asynchronous Coded CDMA Systems

Factor graph,so named because it graphically represents function factorization,with which and its sum-product algorithm the iterative algorithm can be derived clearly.An iterative multiuser receiver based on factor graph for asynchronous coded CDMA system is proposed.In this paper,the a posteriori probability of users information bits conditioned on the noise-whitening filters output is represented by factor graphs,after numbers of iterations with the sum-product algorithm the information bits are estimated.The authors also propose a reduced complexity algorithm.Simulation results show that with this proposed receiver,near-single-user performance can be achieved,and small performance degradation for the reduced complexity algorithm with significant complexity reduction.     

Decentralized adaptive generalized predictive control for structural vibration

A decentralized generalized predictive control (GPC) algorithm is developed for strongly coupled multi-input multi-output systems with parallel computation. The algorithm is applied to adaptive control of structural vibration. The key steps in this algorithm are to group the actuators and the sensors and then to pair these groups into subsystems. It is important that the on-line identification and the control law design can be a parallel process for all these subsystems. It avoids the high computation cost in ordinary predictive control,and is of great advantage especially for large-scale systems.     

An improved R-tree based on childnode''s probability

R-Tree is a good structure for spatial searching. But in this indexing structure，either the sequence of nodes in the same level or sequence of traveling these nodes when queries are made is random. Since the possibility that the object appears in different MBR which have the same parents node is different，if we make the subnode who has the most possibility be traveled first，the time cost will be decreased in most of the cases. In some case，the possibility of a point belong to a rectangle will shows direct proportion with the size of the rectangle. But this conclusion is based on an assumption that the objects are symmetrically distributing in the area and this assumption is not always coming into existence. Now we found a more direct parameter to scale the possibility and made a little change on te structure of R-tree，to increase te possibility of founding te satisfying answer in the front sub trees. We names this structure probability based arranged R-tree (PBAR-tree).     

A probabilistic paradigm for handling uncertain objects in GIS by randomized graph algebra

Probability theory faces difficulties when it is applied to describing uncertain objects in geographic information system (GIS). This is mainly due to the fact that an object in GIS is normally described by a series of discrete vertexes. Modeling uncertainty objects should be therefore based on error of the composed vertexes. This type of model is normally complex and relatively difficult to implement because of many unknown factors, such as the number of vertexes of a polygon, error nature of each individual vertex and error correlation among the vertexes. In this paper, a probabilistic paradigm for handling uncertain objects in GIS by randomized graph algebra is presented. The theoretical basis for this paradigm is the randomized graph algebra-a probability theory for graph-which is newly proposed in this study. Classical probability theory is based on numerical algebra and is also an extension of numerical algebra by further defining probability density within a numerical domain. In the same token, this study begins with defining graph algebra as the basis for probability theory for graph. First, we adopt the theory of graph algebra and further refine the theory by defining the modulo operation for graph. As a result, a graph can thereafter be treated as a "number" and operated by "addition", "subtraction" and others. Second, we construct a measure space by generating sigma-algebra and defining measurable function upon it. The measure space becomes a probability space when the measurable function is a probability density function. Third, we propose the probabilistic paradigm for describing and inferring the uncertainty of geometric objects in GIS by applying the developed randomized graph algebra.     

Trust calculation and delivery control in trust-based access control

Trust management system has been a promising approach to solve the access control problems in open multi-domain environments. However, the calculation of trust and the delivery of the trust are not addressed effectively in the existing trust management systems. To address the problems, this paper proposes a scheme of trust calculation and delivery control. Compared with the other schemes, it is simpler and more flexible, and also easier to be implemented.     

Distribution and correlation analysis of wildfire and weather data in Japan

To establish the wildfire danger rating system, detailed data of wildfire and some related parameters such as weather,population and tree species are required. In this paper, the raw data of weather parameters in Japan are first expanded into more detailed data. The daily value of each weather parameter in each third-level mesh, which is about 1 km × 1 km in size, from year 1999 to 2000 is calculated by means of inverse distance weighted interpolation. Expansion results for third-level meshes are demonstrated. Fire probability for each parameter is calculated and analyzed. It is found that the dependency relation of fire probability on some parameters have surprisingly regular format. The data calculated and analyzed in the paper and the results may act as a basic database for wildfire researchers, and are expected to promote the study of wildfire danger rating method and the development of such systems.     

考虑偏好差异与备选方案相关性的居民出行方式选择模型

为克服传统logit模型的IIA缺陷, 构建合适的居民出行方式选择模型。尝试结合广义极值模型与潜在类别模型, 选取出行费用、出行时间、停车费用及等待时间等作为方式选择效用变量, 选取个人收入、出行目的与出行距离作为类属函数变量, 构建一种区分潜在类别的配对巢式logit模型, 该模型能同时刻画备选方式之间的相关性以及出行者的偏好差异。利用2005年北京市第三次居民出行调查数据, 对模型参数进行估 计和检验。参数估计结果表明: 1) 相较于传统MNL模型与不区分潜在类别的配对巢式logit模型, 区分潜在类别的配对巢式logit模型具有更优的统计学特征; 2) 对出行费用敏感的出行者比例大于对出行时间敏感的出行者比例, 提供交通服务时, 降低费用将比缩短时间更为有效。     

地铁新环控系统可行性分析及性能优化

为降低地铁环控系统能耗,根据目前传统屏蔽门系统和安全门系统的优劣性,提出了可控风口的新环控系统．以某新建地铁为例对新系统的舒适性、通风及节能效果进行了分析论证．利用计算流体力学方法对列车进站和出站过程进行了非稳态模拟,分析了列车进站、出站过程产生的活塞风对站台站厅舒适性、通风效果的影响,并根据系统负荷及运行条件进行了节能效果分析．结果表明,新环控系统可兼顾屏蔽门和安全门系统的优点,当按照优化后的开口和控制方案运行地铁新环控系统时,站台内乘客活动区域气流速度小于5m／s,满足舒适性要求,同时可在屏蔽门系统的基础上降低能耗17．3％,节能效果显著．     

Comparison of Travel Mode Choice Between Taxi and Subway Regarding Traveling Convenience

In this study, we investigate travel mode choice behavior between taxi and subway with an emphasis on the influence of traveling convenience. In the first stage, we examine the Origin-Destination(OD) points of Beijing taxi trips and compare these locations with the respective nearest subway station. Statistics reveal several interesting conclusions. First, for approximately 24.89% of all trips, no convenient subway connections exist between the OD pairs. As such, a taxi becomes the only viable choice. Second, for 80.23% of the remaining 75.11%of trips(equivalent to 60.26% of all trips), access distance from either the origin or the destination to the nearest subway station is greater than 500 meters. This phenomenon indicates that walking distance plays an important role in travel mode choice. In the second stage, we examine groups of taxi trips with similar travel distances and travel times to reveal common features. We establish a preference rule in terms of travel distance and travel time.This determines whether an individual driver will take a taxi or the subway, using a pairwise comparison-based preference regression model. Tests indicate that more than 95% of taxi trips can be correctly predicted by this preference rule. This conclusion reveals that traveling convenience dominates the travel model choice between taxi and subway. All these findings shed light on the factors that influence travel mode choice behavior.     

具分布型时滞随机系统的时滞相关稳定性

研究了具有不确定性时滞的一类线性随机微分系统的依概率鲁棒全局渐近稳定性和均方意义下的指数稳定性，旨在研究更为广泛的一类线性随机滞后微分系统的稳定性，利用LMI方法，得到了分布时滞和离散时滞系统保守性较小的时滞相关的稳定性充分性判据。     

基于贝叶斯网络的地铁项目施工风险管理研究

收集近年来我国施工安全风险事故发生的数据并进行整理,通过专家调查法确定出大连市地铁一期工程西安路站中存在的主要风险因素;根据各风险因素之间的因果关系,确定出相应的贝叶斯网络模型;该项目施工风险发生概率可以运用以贝叶斯网络为基础的正向因果推理技术进行预测,运用反向推理技术进行施工风险诊断.结果表明:该地铁项目施工安全风险发生概率为0.530,该数据表明地铁项目施工安全整体风险水平为中等等级.确定使大连市地铁一期工程处于危险状态的关键因素为:施工测量数据不准确、施工组织或施工方案不详细及操作过程连接不合理.     

Dynamic Parameters Cellular Automaton Model for Passengers in Subway

To simulate the passenger behavior in subway system, a Dynamic Parameters Cellular Automaton(DPCA) model is put forward in this paper. Pedestrian traffic flows during waiting, getting on or off, and traveling can be simulated. The typical scenario in Beijing Subway Line 13 is modeled to analyze the passenger behavior in subway system. By comparing simulation results with statistical ones, the correctness and practicality of the DPCA model are verified. At last, the additional results made by DPCA model can make contribution to passenger comfort analysis and pedestrian facility planning and guidance.     

地铁隧道钻爆法施工邻近埋地管线的安全风险管理研究

地铁隧道钻爆法施工对邻近埋地管道的影响与安全控制研究,对地铁隧道快速掘进和管道安全防护具有重要的意义。为研究地铁隧道钻爆法施工过程中邻近埋地管线的安全风险,以经济损失为评价指标,提出了地铁隧道钻爆法施工对邻近埋地管线影响的风险评估方法。首先建立考虑管线剩余强度的安全控制标准,根据模糊数学的有关方法,提出地面沉降控制标准的隶属度函数,并结合管线破坏的经济损失表达式,最终确定地表最大沉降与经济损失期望值之间的关系。最后,对大连地铁隧道沿线某混凝土上水管在钻爆法施工过程中的影响进行了风险分析,从而作为安全措施的指导依据。     

居住地、出行方式与出发时间联合选择的

为刻画居住地、出行方式与出发时间的联合选择行为,选取房价、出行耗时、出行费用及个人属性等作为效用变量,以居住地选择子集合、出行方式选择子集合和出发时间选择子集合的组合作为模型的选择项,构建基于广义极值(GEV)理论的交叉巢式Logit模型,为方便对比,同时构建3种结构的传统巢式模型.利用2005年北京市第3次居民出行调查数据,对模型参数进行估计和检验,并进行弹性分析,分析效用变量的改变引起的备选方案选择概率的改变.参数估计结果表明,交叉巢式Logit模型具有比NL(Nested logit)模型更优的统计学特征,当效用变量改变时,选择者最先变更其出发时间,然后是出行方式,最后才考虑改变其居住地.直接和交叉弹性分析表明,对于小汽车方式的远距离通勤者,即使额外收取费用亦难以降低其出行比例;当通勤距离小于5km时,一种方式出行时间的变化对另一种方式选择概率的影响微乎其微,而当通勤距离在10～20km时,这种影响最显著.     

基于非对称广义高斯模型的局部优化检测中的应用

为了在非高斯的情况下优化信号的检测,笔者致力于提供一种通用的噪声概率密度函数的现实模型．这个模型仅仅依赖于几个容易且能快速估计的参数,还能够适应于诸如对称和非对称,以及带有不同锐利程度的不同噪声．为了达到这个目的,一种来源于广义高斯函数的高阶统计量的模型被提出,它依赖于3个参数：表示不同锐利程度的峰度参数,以及描写不同于对称函数且联合提供偏斜程度的左右方差参数．这个模型在局部优化检测的设计中得到很好运用,被水下声学噪声干扰的信号检测证实了这个结果．     

共享单车发展下的轨道交通廊道影响范围研究

基于共享单车在各大城市普及程度的提高,共享单车换乘轨道交通的出行方式越来越普遍。本文建立以广义出行成本表达可达性的轨道交通廊道影响范围测算模型,计算轨道交通站点的合理影响范围,比较骑行和步行换乘轨道交通时各站点的影响范围。以成都市为例,各环线内骑共享单车的影响范围比步行的影响范围平均增加了675.2～4590.06 m;范围扩大了2.36～2.64倍。基于泰森多边形原理,解决各站点间合理影响范围的重合问题,并确定站点潜在影响范围的界限。该研究成果确定了一个更为精准地划分轨道交通廊道影响范围的方法,为轨道交通廊道影响范围的研究提供了新的理论方法。