工程实践何以可能:关于“我造物故我在”的拓展性分析

“我造物故我在”是工程哲学的一句箴言,也应该是工程社会学的一句箴言。工程活动是“人造物”与“物造人”的双向建构过程;只有通过造物-成人的双重变奏,才能形成人与人、人与物、物与物之间的三重耦合,从而使工程达成“工程自身”;这个三重耦合的实现又有赖于以现场感和工程记忆作为媒介的工程人与工程现场之间的耦合。“人造物”与“物造人”的双重建构是工程本体论的题中应有之义,也是工程社会学得以可能的本体论基础。人、物、技术和制度之间的交互作用特别是关于工程现场的现象学分析,应该成为未来工程哲学与工程社会学研究的一个基本主题。

官渡水闸重建工程水文计算

通过收集官渡水闸建设的基础资料,采用综合单位线和推理公式对比分析无水文资料地区的洪水过程,并根据所处感潮河段的环境,进行最高高潮位和水闸调洪的演算,得出了官渡水闸无水文资料地区洪水水文计算的方法;并根据潮水位过程线与洪水过程线不同时段的遭遇,进行错洪计算,得出了感潮河段水闸调洪过程。对该地区水闸建设和运行提供了基础研究资料和技术支撑。

全数字三端式湿度传感器

北京委息通环境测控技术中心卫华传感工程开发部与北京大学密切合作,制成全数字三端式 MEMS 湿度传感器。该传感器体积小、精度高、互换性好、使用寿命长。

测控技术与仪器专业课程体系改革实践与整体优化研究

针对高校测控技术与仪器专业理论和实践教学中存在的问题,结合教学现状,以"工程测试与传感技术"为特色,从专业特色凝练、课程体系优化和实践教学模式改革等方面,开展教学改革研究。实现课程、专业与人才培养的一体化联动。构建了一套具有特色的测控专业课程理论教学体系和分层次、多面向、课内外一体的实践教学体系,形成了良好的师生互动机制和教书育人效果。

Construction monitoring of lock head base plate using distributed optical fibre sensing technique

The concrete hydration heat release process of the base plate is monitored using Roman optical time domain reflectometry（ROTDR） sensing sensors. The monitoring data shows that the internal maximum temperature of the base plate is about 54 ℃ after the concrete was cured for 120 h. The fiber Bragg grating （FBG） temperature sensors are adopted to measure the surface temperature of the concrete and the temperature results are used to compensate the data measured by the pulse-prepump Brillouin optical time-domain analyzer （PPP-BOTDA） to obtain the real concrete surface strain of the base plate. The monitoring data is analyzed to obtain a clear understanding of the strain state of the base plate under the effect of concrete hydration heat release. The monitoring results demonstrate the potential of distributed optical fibre sensing techniques as a powerful tool in real-time construction monitoring, and also provide an important insight into the design, construction and maintenance of large hydraulic structures.

An improved multidirectional velocity model for micro-seismic monitoring in rock engineering

An improved multidirectional velocity model was proposed for more accurately locating micro-seismic events in rock engineering. It was assumed that the stress wave propagation velocities from a micro-seismic source to three nearest monitoring sensors in a sensor's array arrangement were the same. Since the defined objective function does not require pre-measurement of the stress wave propagation velocity in the field, errors from the velocity measurement can be avoided in comparison to three traditional velocity models. By analyzing 24 different cases, the proposed multidirectional velocity model iterated by the Simplex method is found to be the best option no matter the source is within the region of the sensor's array or not. The proposed model and the adopted iterative algorithm are verified by field data and it is concluded that it can significantly reduce the error of the estimated source location.

A Magnetic Induction Tomography System for Prospective Industrial Processing Applications

Magnetic induction tomography(MIT) is one of the newest industrial process imaging techniques.Main industrial applications of the MIT imaging are in high conductive flow imaging.However,recently it has been shown that the MIT may be useful for low conductive process imaging.This paper presents a cost effective hardware design for MIT in industrial applications,called Bath-MKI industrial MIT system.The system comprises 8 inductor coils and has the possibility of expansion to 16 coils.The excitation signals and the measured voltages are generated and measured using a LabView based system.Two 16 by 1 multiplexers are used to select between the coils.Measurements,excitation and multiplexing are all controlled by a National Instrument(NI) USB based DAQ:USB-6259 and a signal generator.Using the same electronics,the prototype is tested with two different coil arrays;one is a small scale ferrite core coil and one larger scale air cored coil.Experimental image reconstruction results are shown using both small scale and large scale coil arrays.

Soft sensor modeling based on Gaussian processes

In order to meet the demand of online optimal running, a novel soft sensor modeling approach based on Gaussian processes was proposed. The approach is moderately simple to implement and use without loss of performance. It is trained by optimizing the hyperparameters using the scaled conjugate gradient algorithm with the squared exponential covariance function employed. Experimental simulations show that the soft sensor modeling approach has the advantage via a real-world example in a refinery. Meanwhile, the method opens new possibilities for application of kernel methods to potential fields.

Statistical Monitoring of Chemical Processes Based on Sensitive Kernel Principal Components

The kernel principal component analysis （KPCA） method employs the first several kernel principal components （KPCs）, which indicate the most variance information of normal observations for process monitoring, but may not reflect the fault information. In this study, sensitive kernel principal component analysis （SKPCA） is proposed to improve process monitoring performance, i.e., to deal with the discordance of T2 statistic and squared prediction error SVE statistic and reduce missed detection rates. T2 statistic can be used to measure the variation di rectly along each KPC and analyze the detection performance as well as capture the most useful information in a process. With the calculation of the change rate of T2 statistic along each KPC, SKPCA selects the sensitive kernel principal components for process monitoring. A simulated simple system and Tennessee Eastman process are employed to demonstrate the efficiency of SKPCA on online monitoring. The results indicate that the monitoring performance is improved significantly.

Context-aware Workflow Model for Supporting Composite Workflows

In recent years, several researchers have applied workflow technologies for service automation on ubiquitous compating environments. However, most context-aware workflows do not offer a method to compose several workflows in order to get mare large-scale or complicated workflow. They only provide a simple workflow model, not a composite workflow model. In this paper, the autorhs propose a context-aware workflow model to support composite workflows by expanding the patterns of the existing context-aware wrY：flows, which support the basic woddlow patterns. The suggested workflow model of. fers composite workflow patterns for a context-aware workflow, which consists of various flow patterns, such as simple, split, parallel flows, and subflow. With the suggested model, the model can easily reuse few of existing workflows to make a new workflow. As a result, it can save the development efforts and time of context-aware workflows and increase the workflow reusability. Therefore, the suggested model is expected to make it easy to develop applications related to context-aware workflow services on ubiquitous computing environments.

Scoping biology-inspired chemical engineering

Biology is a rich source of great ideas that can inspire us to find successful ways to solve the challenging problems in engineering practices including those in the chemical industry. Bio-inspired chemical engineering(Bio Ch E)may be recognized as a significant branch of chemical engineering. It may consist of, but not limited to, the following three aspects: 1) Chemical engineering principles and unit operations in biological systems; 2) Process engineering principles for producing existing or developing new chemical products through living ‘devices';and 3) Chemical engineering processes and equipment that are designed and constructed through mimicking(does not have to reproduce one hundred percent) the biological systems including their physical–chemical and mechanical structures to deliver uniquely beneficial performances. This may also include the bio-inspired sensors for process monitoring. In this paper, the above aspects are defined and discussed which establishes the scope of BioChE.

Energy-Aware Traffic Routing with Named Data Networking

Greening Internet is an important issue now, which studies the way to reduce the increas- ing energy expenditure. Our work focuses on the network infrastructure and considers its energy awareness in traffic routing. We formulate the model by traffic engineering to achieve link rate a- daption, and also predict traffic matrices to pre- serve network stability. However, we realize that there is a tradeoff between network performance and energy efficiency, which is an obvious issue as Internet grows larger and larger. An essential cause is the huge traffic, and thus we try to fred its so- lution from a novel architecture called Named Data Networking （NDN） which tent in edge routers and can flexibly cache con- decrease the backbone traffic. We combine our methods with NDN, and finally improve both the network performance and the energy efficiency. Our work shows that it is effective, necessary and feasible to consider green- ing idea in the design of future Internet.

Stimuli-responsive Membranes： Smart Tools for Controllable Mass-transfer and Separation Processes

As emerging artificial biomimetic membranes, smart or intelligent membranes that are able to respond to environmental stimuli are attracting ever-increasing interests from various fields. Their permeation properties including hydraulic permeability and diffusional permeability can be dramatically controlled or adjusted self-regulatively in response to small chemical and/or physical stimuli in their environments. Such environmental stimuli-responsive smart membranes could find myriad applications in numerous fields ranging from controlled release to separations. Here the trans-membrane mass-transfer and membrane separation is introduced as the beginning to initiate the requirement of smart membranes, and then bio-inspired design of environmental stimuli-responsive smart membranes and four essential elements for smart membranes are introduced and discussed. Next, smart membrane types and their applications as smart tools for controllable mass-transfer in controlled release and separations are reviewed. The research tooics in the near future are also suggested.

Did Ecological Engineering Projects Have a Significant Effect on Large-scale Vegetation Restoration in Beijing-Tianjin Sand Source Region, China？ A Remote Sensing Approach

Aiming for the restoration of degraded ecosystems, many ecological engineering projects have been implemented around the world. This study investigates the ecological engineering project effectiveness on vegetation restoration in the Beijing-Tianjin Sand Source Region(BTSSR) from 2000 to 2010 based on the rain use efficiency(RUE) trend in relation to the land cover. More than half of the BTSSR experienced a vegetation productivity increase from 2000 to 2010, with the increasing intensity being sensitive to the indicators chosen. A clear tendency towards smaller increasing areas was shown when using the net primary productivity(NPP, 51.30%) instead of the accumulated normalized difference vegetation index(59.30%). The short-term variation in the precipitation and intra-seasonal precipitation distribution had a great impact on the remote sensing-based vegetation productivity. However, the residual trends method(RESTREND) effectively eliminated this correlation, while incorporating the variance and skewness of the precipitation distribution increased the models′ ability to explain the vegetation productivity variation. The RUE combined with land cover dynamics was valid for the effectiveness assessment of the ecological engineering projects on vegetation restoration. Particularly, the result based on growing season accumulated normalized difference vegetation index(ΣNDVI) residuals was the most effective, showing that 47.39% of the BTSSR experienced vegetation restoration from 2000 to 2010. The effectiveness of the ecological engineering projects differed for each subarea and was proportional to the strength of ecological engineering. The water erosion region dominated by woodland showed the best restoration, followed by the wind-water erosion crisscross regions, while the wind erosion regions dominated by grassland showed the worst effect. Seriously degraded regions still cover more area in the BTSSR than restored regions. Therefore, more future effort should be put in restoring degraded land.

Processing map and hot working mechanisms of Cu-Ag alloy in hot compression process

For Gu-Ag alloy, an important parameter called workability in the forming process of materials can be evaluated by processing maps yielded from the stress-strain data generated by hot compression tests at temperatures of 700-850 °C and strain rates of 0.01-10 s-1. And at the true strain of 0.15, 0.35 and 0.55, respectively, the responses of strain-rate sensitivity, power dissipation efficiency and instability parameter to temperature and strain rate were studied. Instability maps and power dissipation maps were superimposed to form processing maps, which reveal the determinate regions where individual metallurgical processes occur and the limiting conditions of flow instability regions. Furthermore, the optimal processing parameters for bulk metal working are identified clearly by the processing maps.

The Perception and Reaction of Indonesia to the Belt and Road Initiative and Suggestions for China's Response

Participation, support and understanding of countries along the Belt and Road are requisites for promoting and implementing this major initiative. Indonesia, a major ASEAN economy, is crucial but Indonesia has a limited perception of the B&R initiative. Although its government welcomes it and the ruling coalition cooperates positively, parts of the military and opposition are skeptical of China's intent. The B&R initiative is well-received among the Indonesian Chinese group, while Indonesian academic circles remain cautious and somewhat critical. From a Chinese viewpoint, easing negative or hostile emotions appropriately would be well-timed. China should settle the Natuna issue, adjust its publicity in Indonesia, use diplomacy, and promote Sino-Indonesia cultural exchange and communications. Chinese enterprises should focus on project quality and uphold social responsibilities. Short-term goals are reducing Indonesia's opposition and obstruction of B&R, while long-term goals are enhancing the recognition and likeability of the Initiative's worthwhile plans.

THE APPLICATION OF A NOVEL THROMBIN SENSITIVE SITE IN GENETIC ENGINEERING

To obtain high efficiency of cleavage of thrombin in fusion protein containing a ANP fusetl to Re f pep-tides,the linker sequence deslgned as VIAGR which was dlfferent from GVRGPR formerly used was stud-ied. Plasmld pHL carrying the fuslon gene Ref-NT-ANP downstream from PL Proruc)ter was derived fromexpression vector pLY1 by inserting the fragment of NT-ANP lnto lt. The exPresslon of fuslon gene waslnduced at 420,and the interested proteln Ref-NT-ANP accumlllated as inclusion bodies was lsolated bygradient centrifuge and then dissolved in 7 mol/L guanidinehydrochloride(Gdn-HCl). After dilution,renat-uration and dialyzation, the cleavage of thrombin was examined using samples with 1. 1 mol/1, (;dn-HC1and samples free of Gdn-HCl resI)ective1y. I)igestion result showed that the novel-ad()Pted cleavage sequencewas highly sensitive to thrombin when the substrate dissOlved in 1. 1 mol/I, tidn HCl. The time needed for87%cleavage (the ratio of substrate to thrombin was 5O pg/u)was less than 24 hOurs. This sequence described here which was sPecifically recognized by thrombin might be broadly applied in other fusion sys-tems.

Architectural Educational Experience in Kansei

Since the earliest Kansei works saw the light more than 30 years ago, the Kansei has boomed exponentially. Because of many and various achieved business successes by different working groups as well as the methodology geographical dispersion throughout the world. Multi-faceted Kansei has been developed for the last 20 years in a very wide and varied way. The Kansei has experienced as if talking of a tree, a branching experience still going on nowadays. Today we can speak from Kansei in theory, Kansei emotion measurement, Kansei engineering, Kansei information, Kansei education, Kansei design to Kansei in practice and many other disciplines. Three years ago, our team started the experience to introduce Kansei in the educational atmosphere, applying it to the final degree projects. In the School of Building Engineering at the Universitat Polit^cnica de Valencia and inside its final degree project proposal, a workshop on Kansei engineering was offered. During these years at the eighth semester of the building engineer degree, students have been working for almost five months under the supervision of a team of teachers on their final project till the final public oral defense was made in front of a committee. During these years, we have worked with an average of 10 students per year. Some have successfully completed their final projects, others have not achieved the minimum required. The article aims to explain the experience during the last three years the team has accumulated in Kansei education, and can be of interest for every teacher or lecturer.

Improving the Performance of an Electro-Hydraulic Load-Sensing Proportional Control Valve

The paper deals with the simulation and the experimental verification of the hydraulic behavior of an electro-hydraulic load-sensing proportional control valve. An innovative CAE （computer aided engineering） methodology, developed combining CFD （computational fluid dynamics） simulations with lumped and distributed numerical modeling, is firstly introduced and tailored by comparing the numerical results with measurements coming from an experimental campaign performed for a wide range of pressure loads and metered flow rates. Then, both the reliability and the limits of the numerical approach are highlighted through a detailed numerical vs. experimental comparison, involving the pressure of the main hydraulic lines, the flow rate through the first section and the local compensator displacement. Finally, the CAE methodology has been applied for assessing the internal ducts hydraulic permeability and the local compensator spring pre-load influence on the control valve metering curves. At the end of this analysis, an optimized design configuration, featuring a maximum controlled volumetric flow rate increased of more than 25%, has been proposed.

Comprehensively Context-Aware Approach to Guaranteeing Multimedia Conferencing Services

Service-Oriented Communication(SOC)is a key research issue to enable media communications using the Service-Oriented Architecture(SOA).Motivated by the necessity to guarantee the service quality of our webbased multimedia conferencing system,we present a Comprehensively Context-Aware(CoCA)approach in this paper.One major problem in the existing end-to-end Quality of Service(QoS)management solutions is that they analyse and exploit the relationships between the QoS metrics and corresponding contexts in an isolated manner.In this paper,we propose a novel approach to leveraging such relationships in a comprehensive manner based on Bayesian networks and the fuzzy set theory.This approach includes three phases:1)information feedback and training,2)QoS-to-context mapping,and3)optimal context adaption.We implement the proposed CoCA in the real multimedia conferencing system and compare its performance with the existing bandwidth aware and playback buffer aware schemes.Experimental results show that the proposed CoCA outperforms the competing approaches in improving the average video Peak Signal-to-Noise Ratio(PSNR).It also exhibits good performance in preventing the playback buffer starvation.