危险化学品流域污染模拟

危险化学品的流域污染关系到社会安全的重大问题.本论文二次开发CE-QUAL-W2,得突发性流域污染模型.通过建立二维水力学模型及二维水质模型,运用数值计算方法,自动计算水力学变量,快速应急模拟危险化学品造成的流域污染.同时,作者利用收集到的信息,模拟吉林双苯厂爆炸造成的松花江的流域污染,结果基本达到迅速、直观的应急反应要求,表明模型有效.     

电容式油量测量系统的姿态误差分析

针对目前飞机上电容式油量传感器测量燃油时产生的姿态误差问题进行了研究,以飞机上的规则油箱为例,从理论上详细地分析了电容式油量测量系统的姿态误差,并绘制出其误差曲线,给出了减小姿态误差的方法,最后提出了在姿态误差最小的准则下确定传感器的最佳安装位置;文中提出的减小姿态误差的方法,不仅有利于提高燃油测量系统的可靠性和安全性,而且可以改善燃油测量系统的维修性,使燃油量测量技术跃上了一个新的台阶。     

一种多总线通讯系统的实现

首先讨论了多总线通讯系统的主从式网络构建方法和通讯MBI的功能;其次给出了多总线通讯系统中总线利用率和总线负载的计算方法以及在系统中时基的应用方法。在此基础上,论述了基于ADSP21060,结合1553B总线和RS-422总线的多总线通讯系统的实现,具体包括硬件接口设计和通讯软件的实现。实验表明,多总线通讯系统适用于外部总线负载小于70%,内部总线负载小于40%的通讯系统,具有普遍意义。     

Rainbow Product Ranking for Upgrading E-Commerce

Online product ranking is complicated by conflicting attributes. The authors propose a rainbow ranking system to solve this problem in e-commerce. This approach extends eBay's one-to-one shopping paradigm to a flexible one with many-to-many transactions. The system demonstrates a 50 to 70 percent transaction increase over skyline and eBay ranking methods. Buyers are allowed personalized selections of commodity products, whereas sellers benefit from both wholesale and retailing online. The rainbow scheme thus creates a win-win situation for both buyers and sellers in widened e-commerce marketplaces.     

Automatic Reconfiguration of Petri Net Controllers for Reconfigurable Manufacturing Systems With an Improved Net Rewriting System-Based Approach

The advent of reconfigurable manufacturing systems (RMSs) has given rise to a challenging problem, i.e., how to reconfigure rapidly and validly a RMS supervisory controller in response to frequent changes in the manufacturing system configuration driven by fluctuating market. This paper presents an improved net rewriting system (INRS)-based method for automatic reconfiguration of Petri net (PN) supervisory controllers for RMS. We begin with presenting the INRS which overcomes the limitations of the net rewriting system and can dynamically change the structure of a PN without damaging its important behavioral properties. Based on INRS, a method for design reconfigurable PN controllers of RMS is introduced. Subsequently, we presented an INRS-based method for rapidly automatic reconfiguration of this class of PN controllers. In the reconfiguration method, changes in a RMS configuration can be formalized and act on an existing controller to make it reconfigure rapidly into a new one. Noticeably, no matter the design or reconfiguration, the expected behavioral properties of the resultant PN controllers are guaranteed. Thus, efforts for verification of the results can be avoided naturally. We also illustrate the reconfiguration of a PN controller for a reconfigurable manufacturing cell.     

一种基于Canny的改进车灯光轴检测算法

在车灯配光性能检测中,近光光照方向和光形是重要的检测项目。本文研究边缘检测技术在提取前照灯近光光轴中的应用,主要对Canny边缘检测算法的性能进行了分析和评价,针对传统Canny算法在梯度幅值计算上的缺陷,提出了一种通过计算像素八邻域内图像一阶偏导数有限差分来确定梯度幅值的方法．在此基础上,在基于非极值抑制原理检测边缘点时,将像素的八邻域分为4个像限结合双线性插值的方法进一步提高了边缘检测的精度和准确度．根据前照灯配光在线检测的特点及要求,最终选用改进后的Canny边缘检测算法,有效地检测出近光灯的光轴。     

不停车收费车道控制系统的优化设计及实现

车道控制系统作为负责收费车道数据采集、交通控制以及与上级系统通信的前端系统,是ETC系统能否正常有效运行的关键。文章详细阐述了ETC车道控制系统的主要功能及设计原则,给出了ETC车道构成、车道控制系统的模块结构及工作流程。实践表明,该系统功能完善、稳定可靠、符合国情,具有广泛的应用前景。     

Hybrid information retrieval policies based on cooperative cache in mobile P2P networks

The concept of Peer-to-Peer (P2P) has been introduced into mobile networks, which has led to the emergence of mobile P2P networks, and originated potential applications in many fields. However,mobile P2P networks are subject to the limitations of transmission range, and highly dynamic and unpredictable network topology, giving rise to many new challenges for efficient information retrieval. In this paper, we propose an automatic and economical hybrid information retrieval approach based on cooperative cache. In this method, the region covered by a mobile P2P network is partitioned into subregions, each of which is identified by a unique ID and known to all peers. All the subregions then constitute a mobile Kademlia (MKad) network. The proposed hybrid retrieval approach aims to utilize the floodingbased and Distributed Hash Table (DHT)-based schemes in MKad for indexing and searching according to the designed utility functions. To further facilitate information retrieval, we present an effective cache update method by considering all relevant factors. At the same time, the combination of two different methods for cache update is also introduced. One of them is pull based on time stamp including two different pulls: an on-demand pull and a periodical pull, and the other is a push strategy using update records. Furthermore, we provide detailed mathematical analysis on the cache hit ratio of our approach. Simulation experiments in NS-2 showed that the proposed approach is more accurate and efficient than the existing methods.     

Electrocatalysis of Fe-N-C Bonds Driving Reliable Interphase and Fast Kinetics for Phosphorus Anode in Sodium-Ion Batteries

Phosphorus exhibits high capacity and low redox potential, making it a promising anode material for future sodium-ion batteries. However, its practical applications are confined by poor durability and sluggish kinetics. Herein, an innovative in-situ electrochemically self-driven strategy is presented to embed phosphorus nanocrystal (≈10 nm) into a Fe-N-C-rich 3D carbon framework (P/Fe-N-C). This strategy enables rapid and high-capacity sodium ion storage. Through a combination of experimental assistance and theoretical calculations, a novel synergistic catalytic mechanism of Fe-N-C is reasonably proposed. In detail, the electrochemical formation of Fe-N-C catalytic sites facilitates the release of fluorine in ester-based electrolyte, inducing Na⁺-conducting-enhanced solid-electrolyte interphase. Furthermore, it also effectively induces the dissociation energy of the P-P bond and promotes the reaction kinetics of P anode. As a result, the unconventional P/Fe-N-C anode demonstrates outstanding rate-capability (267 mAh g⁻¹ at 100 A g⁻¹) and cycling stability (72%, 10 000 cycles). Notably, the assembled pouch cell achieves high-energy density of 220 Wh kg⁻¹.     

Macrophage Membrane-Coated Nanoparticles Sensitize Glioblastoma to Radiation by Suppressing Proneural–Mesenchymal Transformation in Glioma Stem Cells

Radiotherapy is identified as a crucial treatment for patients with glioblastoma, but recurrence is inevitable. The efficacy of radiotherapy is severely hampered partially due to the tumor evolution. Growing evidence suggests that proneural glioma stem cells can acquire mesenchymal features coupled with increased radioresistance. Thus, a better understanding of mechanisms underlying tumor subclonal evolution may develop new strategies. Herein, data highlighting a positive correlation between the accumulation of macrophage in the glioblastoma microenvironment after irradiation and mesenchymal transdifferentiation in glioblastoma are presented. Mechanistically, elevated production of inflammatory cytokines released by macrophages promotes mesenchymal transition in an NF-κB-dependent manner. Hence, rationally designed macrophage membrane-coated porous mesoporous silica nanoparticles (MMNs) in which therapeutic anti-NF-κB peptides are loaded for enhancing radiotherapy of glioblastoma are constructed. The combination of MMNs and fractionated irradiation results in the blockage of tumor evolution and therapy resistance in glioblastoma-bearing mice. Intriguingly, the macrophage invasion across the blood-brain barrier is inhibited competitively by MMNs, suggesting that these nanoparticles can fundamentally halt the evolution of radioresistant clones. Taken together, the biomimetic MMNs represent a promising strategy that prevents mesenchymal transition and improves therapeutic response to irradiation as well as overall survival in patients with glioblastoma.