IDS入侵检测系统的效能评估

在入侵检测的概念基础上,分析入侵检测的特点,建立入侵检测系统效能评判体系,运用灰色理论,给出了系统的综合评判模型。通过实例验证了该模型的可行性和实用性。     

船舶中间轴承修理和轴承座的定位

以船舶中间轴承修理,采用负荷校中定位轴承座的工程为例,详细介绍了中间轴承修理过程。依据负荷称重和轴系校中经验对中间轴承座定位的方法,实践证明,此方法实用可靠。     

潜艇垂直面运动标准化仿真模型研究

本文根据刚体动力学理论所建立的动力学运动方程,结合面向对象编程设计法则,开发出具有良好延展性和可移植性的潜艇垂直面运动标准化仿真模型,并将模型成功运用在潜艇水下六自由度运动仿真系统中,该模型将在潜艇操纵系统的作战使用、故障应急处理及维修的研究工作中起到积极的辅助作用。     

基于眼图分析的数字滤波选取方法分析

在数字通信系统中,由于存在码间串扰而影响通信质量,如何减小码间串扰的影响是数字信号传输面临的一个问题。经过分析发现,在传输过程中选取合适的滤波器及其特征参数能够不同程度地减小码间串扰影响。通过对相同干扰条件下,数字基带经过不同的滤波器后形成的眼图进行分析,进而选取了适合传输的滤波器及其特征参数,用最佳传输滤波器的方法减小了码间串扰,从而提高了信号的传输质量。     

当前浮式平台船体结构分析的方法与重点综述(英文)

浮式平台概念的选择及其结构设计是深水工程项目的关键环节之一.它决定了平台在波浪载荷作用下的动力学响应、立管在深水条件下的运动以及进行平台建造与安装的技术难度等.结构强度、结构的抗疲劳性能以及结构的整体和局部稳定性能是浮式平台设计必须重点考虑的三个主要方面.总结了当前浮式平台设计的主要方法和它的主要任务以及技术要求,着重分析了设计过程中的主要技术难点及重点;最后,讨论了浮式平台结构设计的潜在发展趋势.     

物流配送车辆路线求解算法

为进一步降低日益复杂的物流配送成本,通过对物流配送网络系统分析,提出更为接近实际的三层次物流配送网络结构。针对第二层次车辆路线问题(VRP)网络模型,运用四叉树原理进行客户分区,使用两阶段启发式算法优化车辆行驶路线,采用C语言编程实现了算法设计。运用模拟数据通过LINGO程序仿真测试,显示该算法计算结果与LINGO计算结果相同,而计算时间大幅度降低,说明了该算法快速、有效。     

An analysis of bicycle route choice preferences in Texas,US

In the US, the rise in motorized vehicle travel has contributed to serious societal, environmental, economic, and public health problems. These problems have increased the interest in encouraging non-motorized modes of travel (walking and bicycling). The current study contributes toward this objective by identifying and evaluating the importance of attributes influencing bicyclists’ route choice preferences. Specifically, the paper examines a comprehensive set of attributes that influence bicycle route choice, including: (1) bicyclists’ characteristics, (2) on-street parking, (3) bicycle facility type and amenities, (4) roadway physical characteristics, (5) roadway functional characteristics, and (6) roadway operational characteristics. The data used in the analysis is drawn from a web-based stated preference survey of Texas bicyclists. The results of the study emphasize the importance of a comprehensive evaluation of both route-related attributes and bicyclists’ demographics in bicycle route choice decisions. The empirical results indicate that travel time (for commuters) and motorized traffic volume are the most important attributes in bicycle route choice. Other route attributes with a high impact include number of stop signs, red light, and cross-streets, speed limits, on-street parking characteristics, and whether there exists a continuous bicycle facility on the route.

A traffic analysis zone definition: a new methodology and algorithm

This paper develops a comprehensive approach to the definition of transportation analysis zones (TAZ), and therein, presents a new methodology and algorithm for the definition of TAZ embedded in geographic information systems software, improves the base algorithm with several local algorithms, and comprehensively analyses the obtained results. The results obtained are then compared to these presently used in the transportation analysis process of the Lisbon Metropolitan Area. The proposed algorithm presents a new methodology for TAZ design based on a smoothed density surface of geocoded travel demand data. The algorithm aims to minimise the loss of information when moving from a continuous representation of the origin and destination of each trip to their discrete representations through zones, and focuses on the trade-off between the statistical precision, geographical error, and the percentage of intra-zonal trips of the resulting OD matrix. The results for the Lisbon Metropolitan Area case study suggest a significant improvement in OD matrix estimates compared to current transportation analysis practises based on administrative units.

A copula-based joint multinomial discrete–continuous model of vehicle type choice and miles of travel

In this paper, a joint model of vehicle type choice and utilization is formulated and estimated on a data set of vehicles drawn from the 2000 San Francisco Bay Area Travel Survey. The joint discrete–continuous model system formulated in this study explicitly accounts for common unobserved factors that may affect the choice and utilization of a certain vehicle type (i.e., self-selection effects). A new copula-based methodology is adopted to facilitate model estimation without imposing restrictive distribution assumptions on the dependency structures between the errors in the discrete and continuous choice components. The copula-based methodology is found to provide statistically superior goodness-of-fit when compared with previous estimation approaches for joint discrete–continuous model systems. The model system, when applied to simulate the impacts of a doubling in fuel price, shows that individuals are more likely to shift vehicle type choices than vehicle usage patterns.

Traveled distance,stock and fuel efficiency of private vehicles in Canada: price elasticities and rebound effect

This paper presents estimates of the rebound effect and other elasticities for the Canadian light-duty vehicle fleet using panel data at the provincial level from 1990 to 2004. We estimate a simultaneous three-equation model of aggregate demand for vehicle kilometers traveled, vehicle stock and fuel efficiency. Price and income elasticities obtained are broadly consistent with those reported in the literature. Among other results, an increase in the fuel price of 10% would reduce driving by ~2% in the long term and by 1% the average fuel consumption rate. Estimates of the short- and long-term rebound effects are ~8 and 20%, respectively. We also find that an increase in the gross domestic product per capita of 10% would cause an increase in driving distance of 2–3% and an increase of up to 4% in vehicle stock per adult. In terms of policy implications, our results suggest that: (1) the effectiveness of new fuel efficiency standards will be somewhat mitigated by the rebound effect and (2) fuel price increases have limited impacts on gasoline demand.