参数化绘制城市工程管线综合图

介绍了城市工程管线综合图参数化绘图技术.该绘图技术有效地解决了城市工程管线综合图的绘图问题.参数化绘制城市工程管线综合程序可直接安装在AutoCAD软件中,并配有可视化交互界面,使设计人员方便、快捷完成城市工程管线综合图的设计绘图工作.     

学生评教在高等教育管理中的价值回归

学生评教是提高高校教育教学管理质量的有效监督手段,通过学生评教促进教师教学、科研能力的全面提升。从立德树人、教学相长、尊师重教、回归教学本真四个方面发挥学生评教功能。     

X舵潜艇掉深挽回决策与控制方法北大核心CSCD

[目的]为了研究潜艇水下掉深时的挽回策略和控制方法,建立某X舵潜艇六自由度运动模型。[方法]首先,分析X舵的控制规律和潜艇的排水能力,采用多目标模糊控制方法,设计掉深挽回控制系统;其次,对潜艇在大深度航行时遭遇的不同程度掉深险情进行挽回操作仿真,并在控制器和挽回策略这2个方面对挽回控制进行改进;最后,对不同航速条件下的挽回能力进行比较。[结果]结果显示,在控制器方面,引入智能模糊积分环节可提高挽回效率;在挽回策略方面,采用纵倾辅助及提高航速的挽回策略可增强挽回能力。[结论]研究表明,X舵模糊控制系统配合提高航速及纵倾辅助的策略具有较好的掉深挽回效果。     

《中国舰船研究》2016年第1期目录

[1] 航空母舰发展的思考…朱英富,熊治国,胡玉龙(1)[2] 水面舰艇作战系统的回顾和展望…潘镜芙,董晓明(8)[3] 发展绿色舰船,抢占未来舰船发展制高点…马运义(13)[4] 舰船装备保障流程管理…朱石坚(19)[5] 高强度钢在潜艇应用中的若干重要问题综述…杨建明,张新宇,刘朝骏(27)[6] 水下爆炸气泡及其对结构毁伤研究综述…姚熊亮,刘文韬,张阿漫,刘云龙(36)[7] 舰艇抗爆抗冲击技术现状和发展途径…刘建湖,周心桃,潘建强,王海坤(46)[8] 流致噪声机理及预报方法研究综述…王春旭,吴崇健,陈乐佳,邱昌林,熊济时(57)[9] 我国舰船中压直流综合电力系统研究进展…付立军,刘鲁锋,王刚,马凡,叶志浩,纪锋,刘路辉(72)[10] 石墨烯及其在金属防腐中应用的研究进展…龚佑宁,于连江,潘春旭(80)[11] 等离子体技术处理舰船固体废弃物的进展…吕东方,于开录,岳强(89)[12] 新概念穿梭艇自航模操控系统试验研究…王健,刘旌扬,魏成柱,李英辉,易宏(95)[13] 实验尺度无人水下滑翔机设计与试验…杨海,刘雁集,张凯(102)[14] 基于惯容器的机械振动被动控制系统传递特性分析…刘彦(108)[15] 基于数字样机的舰船维修性设计分析技术…方强,王松山,祝泓,张平(114)[16] 大型舰船物资转运瓶颈解析计算及分段优化方法…金迎村,宗砚,王皎(121)[17] 船舶纵向下水曲线直接计算法…林诗尧,孙江龙,曾荆州,解德(128)[18] 舰船集成冷媒水系统损害检测…徐新华,李伟光,谢军龙(135)[19] 《中国舰船研究》创刊10周年发展回顾及文献计量学分析…易基圣,喻菁,许建(143)     

小水线面双体船耐波性能CFD不确定度分析

  目的  为了提高航海模拟器中小水线面双体船（SWATH）的模拟精度,更好地掌握此类船舶的操纵特性,  方法  根据SWATH船型的运动特点,在MMG三自由度模型的基础上,较为完整地计入耦合的纵荡、横荡、艏摇、横摇及纵摇运动,建立SWATH的五自由度运动数学模型。基于此应用模型建立SWATH的实船数学模型,对该数学模型进行微分求解,仿真模拟SWATH的旋回运动、Z形运动,并进行定性分析。  结果  分析显示：仿真模拟结果符合SWATH操纵运动原理及实际运动特征,验证了数学模型的准确性。  结论  该模型可真实反映实船的运动规律,可应用于航海模拟器中。     

Dynamic diurnal social taxonomy of urban environments using data from a geocoded time use activity-travel diary and point-based business establishment inventory

In this paper, we explore the diurnal dynamics of joint activity participation in a small city in Pennsylvania, USA, using behavioral data and an inventory of business establishments. We account for the variation caused by the collective impact of social, temporal and spatial choices of individuals to produce predicted space–time visualizations of activity participation. The focus is on how social contexts of an activity impact the temporal and spatial decisions regarding the activity locations and how this impact varies depending on activity types. A comparison across activity types and social interaction types is made among spatial patterns during a day. The CentreSIM dataset, which is a household-based activity diary survey collected in Centre County (Pennsylvania, USA) in 2003, provides very detailed social interaction information enabling the analysis of social, spatial and temporal aspects of activity participation. In this paper we use this information to develop a spatio-temporal interpolation method and demonstration based on kriging. In this way, we extract the dynamic social taxonomy of places from the behavioral information in the dataset and suggest how urban and transportation models can be informed from the dynamics of places by observing “what is taking place” (activities being pursued in the context of this paper) combined with “what exists” (business establishments) or “what is available” (businesses that are open). The method here can also be used to improve the design of urban environments (e.g., filling gaps in desired activity locations), manage specific places (e.g., extending the opening and closing times of businesses), study transportation policies that are sensitive to time of day (e.g., pricing of parking to discourage crowding and traffic congestion), and modeling of spatio-temporal decisions of social activities in travel demand models (e.g., to guide the development of model specification and representation of the space in which behavioral models are applied).     

Real time detection of driver attention: Emerging solutions based on robust iconic classifiers and dictionary of poses

Real time monitoring of driver attention by computer vision techniques is a key issue in the development of advanced driver assistance systems. While past work mostly focused on structured feature-based approaches, characterized by high computational requirements, emerging technologies based on iconic classifiers recently proved to be good candidates for the implementation of accurate and real-time solutions, characterized by simplicity and automatic fast training stages.In this work the combined use of binary classifiers and iconic data reduction, based on Sanger neural networks, is proposed, detailing critical aspects related to the application of this approach to the specific problem of driving assistance. In particular it is investigated the possibility of a simplified learning stage, based on a small dictionary of poses, that makes the system almost independent from the actual user.On-board experiments demonstrate the effectiveness of the approach, even in case of noise and adverse light conditions. Moreover the system proved unexpected robustness to various categories of users, including people with beard and eyeglasses. Temporal integration of classification results, together with a partial distinction among visual distraction and fatigue effects, make the proposed technology an excellent candidate for the exploration of adaptive and user-centered applications in the automotive field.     

Incorporating the extended theory of planned behavior in a school travel mode choice model: a case study of Shaoxing,China

Travel to and from school can have social, economic, and environmental implications for students and their parents. Therefore, understanding school travel mode choice behavior is essential to find policy-oriented approaches to optimizing school travel mode share. Recent research suggests that psychological factors of parents play a significant role in school travel mode choice behavior and the Multiple Indicators and Multiple Causes (MIMIC) model has been used to test the effect of psychological constructs on mode choice behavior. However, little research has used a systematic framework of behavioral theory to organize these psychological factors and investigate their internal relationships. This paper proposes an extended theory of planned behavior (ETPB) to delve into the psychological factors caused by the effects of adults’ cognition and behavioral habits and explores the factors’ relationship paradigm. A theoretical framework of travel mode choice behavior for students in China is constructed. We established the MIMIC model that accommodates latent variables from ETPB. We found that not all the psychological latent variables have significant effects on school travel mode choice behavior, but habit can play an essential role. The results provide theoretical support for demand policies for school travel.     

A Pareto-improving hybrid rationing and pricing policy with multiclass network equilibria

This paper extends the work on Pareto-improving hybrid rationing and pricing policy for general road networks by considering heterogeneous users with different values of time. Mathematical programming models are proposed to find a multiclass Pareto-improving pure road space rationing scheme (MPI-PR) and multiclass hybrid rationing and pricing schemes (MHPI and MHPI-S). A numerical example with a multimodal network is provided for comparing both the efficiency and equity of the three proposed policies. We discover that MHPI-S can achieve the largest reduction in total system delay, MHPI can induce the least spatial inequity and MHPI-S is a progressive policy which is appealing to policy makers. Furthermore, numerical results reveal that different classes of users react differently to the same hybrid policies and multiclass Pareto-improving hybrid schemes yield less delay reduction when compared to their single-class counterparts.     

You (expect to) get what you pay for: A system approach to delay, fare, and complaints

In this paper, an analytical framework integrating delay, fare, and complaints with passenger air travel has been laid out. Examining aggregate monthly data for US domestic air travel, we have identified causal relationships among fare, complaints, and levels of delay. An analytical framework is proposed that formalizes these relationships in an integrated manner. This integrated framework is then estimated in a set of simultaneous equations by using 118 months of data from January 1997 to October 2006. Results show that complaints are influenced by levels of delays. However, complaints are positively influenced by average yield. These findings lead us to support the central hypothesis that complaints are responsive to levels of delays, but they tend to vary according to fare. That is, air travelers are less likely to complain in return for lower fares, even when faced with the same or even higher levels of delays. These findings have important policy implications, including the passengers’ bill of rights and regulator’s choice between market and operational performances.