TDI双管板换热器制造质量的控制简

介绍了TDI双管板换热器的结构特点和深孔强度胀接技术。简述了制造过程中的质量控制关键点。通过用模拟管板进行了内管板胀接工艺评定的方法,采取了控制管孔加工精度、强度胀接、管板组装、调整开槽间距及宽度、安排合理的胀接焊接次序、选择合适的胀接压力等措施;采用了新的检验和检测技术,保证了产品质量;增设了压力传感器,完善了安全监测系统。     

RTK定位技术于河道测绘工程中的认识

在水运工程中,由于大量的人力、物力和财力的投入,使得水运工程受到了社会各界的高度关注。测绘技术的应用能够大大提高准确性,降低工程的成本。本文对RTK定位技术在水运河道测绘中的应用进行了分析,以供读者参考。     

论测绘技术在现代工程测量中的有效运用

随着现代建筑质量的提高,工程建筑对于数据测量的精度要求也日趋严格。本文从测绘技术的发展及特点入手,深入分析了测绘技术在现代工程测量中的应用前景及方法。     

现代测绘基准在城市测量中的应用

SDCORS、高等级GPS控制网、厘米级似大地水准面精化等成果构成了现代测绘基准。本文分析了现代测绘基准在城市控制测量、坐标转换、高程测量、城市地形图测绘、建筑竣工测量等领域的应用,并介绍了现代测绘基准的优势。     

中国传统舆图的制图学研究

传统舆图中蕴含着中国传统的图示智慧与图示力量,诠释了古人对于空间的感知与创造,其内涵与价值仍有待挖掘。解读传统舆图的制图学内涵有利于理解和传承中国传统的空间图示体系。以城图、河渠图、路程图等不同专题的传统舆图为研究对象,归纳总结出传统舆图的图示体系,即传统舆图在空间视角、空间要素、描绘层次与叙事表达4个层面上的图示特征。在此基础上,探讨传统舆图图示体系与当代地图术（mapping）的相似性,将传统图示智慧应用于清西陵风水形势mapping的绘制,为传统舆图图示体系的研究与应用提供了崭新的思考视角及实践线索。     

图析作为城市认知与设计工具的回顾性重构

围绕经典形态学派研究时期、城市重构与新城发展研究时期、当代全球化多元主题研究时期3个阶段梳理了图析（mapping）的发展历程。聚焦全球不同地区,分阶段分析相关研究和设计实践的制图语境、制图者身份与代表人物、研究方法与技法、对城市认知与设计的意义。研究发现：1）人类对城市在认识论层面,由城市作为建筑向城市作为复杂系统转变;2）制图者早期主要为设计师,如今主要为跨学科学者共同体与多元利益主体;3）mapping操作方法与技术有地图剖解、比较、拼贴与组合等多样方式;4）mapping在城市认知与设计过程中,可作为处理空间信息的管理工具、呈现与交流的工具以及启发设计的工具。通过呈现mapping作为城市认知与设计工具的近百年图景,以期为城市设计科学研究提供系统方法,为城市设计实践提供从认知向设计转化的可能路径。     

Fuzzy vulnerability mapping of urban groundwater systems to nitrate contamination

The aim of this study is to develop a new fuzzy optimization model to find the optimal factor weights of modified DRASTIC index for groundwater vulnerability mapping an urban aquifer to nitrate contamination. Eight factors including water table depth, recharge, aquifer media, soil media, topography, impact of vadose zone, hydraulic conductivity, and land use are considered and rated. A fuzzy linear regression is formulated between the values of eight factors and corresponding nitrate concentration in groundwater. An optimization model based on real code genetic algorithm with objective of minimizing the sum of the fuzzy spread of the regression coefficients is implemented. Aquifer of Mashhad metropolis (northeast of Iran) is chosen to evaluate the proposed model. The results show the proposed model is a promising tool for weighting the factors with avoiding the subjectivity and also ambiguities accompanied by parameters to produce an accurate specific vulnerability mapping of an urban aquifer.     

Implicit Decals: Interactive Editing of Repetitive Patterns on Surfaces

Texture mapping is an essential component for creating 3D models and is widely used in both the game and the movie industries. Creating texture maps has always been a complex task and existing methods carefully balance flexibility with ease of use. One difficulty in using texturing is the repeated placement of individual textures over larger areas. In this paper, we propose a method which uses decals to place images onto a model. Our method allows the decals to compete for space and to deform as they are being pushed by other decals. A spherical field function is used to determine the position and the size of each decal and the deformation applied to fit the decals. The decals may span multiple objects with heterogeneous representations. Our method does not require an explicit parametrization of the model. As such, varieties of patterns, including repeated patterns like rocks, tiles and scales can be mapped. We have implemented the method using the GPU where placement, size and orientation of thousands of decals are manipulated in real time.     

Trained sensory panellists’ response to product alcohol content in the projective mapping task: Observations on alcohol content,product complexity and prior knowledge

Projective mapping has been validated as a practical tool for the rapid sensory profiling of brandy products, although repeatability concerns necessitate repeated measurements in larger sample sets. The reason for poor repeatability could be linked to the complexity of the product type, as well as the physical and possibly psychological factors associated with its high alcohol content. To date no information has been published that tested the effect of these specific factors on panellist performance in projective mapping tasks. This study tested the effect of sample complexity and alcohol content on sensory panel repeatability and accuracy in projective mapping, using six types of commercial alcoholic beverages. In a second objective, the study also tested the effect of prior knowledge of alcohol content of a given product set on panellist performance in projective mapping. The results showed that complexity had the biggest impact on panel performance, while alcohol content had a secondary but decisive influence, largely due to its chemosensory fatiguing nature. Knowledge of the product alcohol content appeared to affect individuals differently, and also had an effect on the terminology used by the panellists to describe the products. The study also introduces the Relative Performance Indicator (RPI) as a new panel performance monitoring tool for projective mapping.