轮胎加工中氮气的循环纯化系统设计

为了降低轮胎制造加工中所需氮气的价格,设计了一套氮气循环纯化系统.该系统利用专用管道把动力中心供出的硫化氮气在完成硫化后排出的气体连接到动力中心,运用PID控制技术手段实现全自动净化、纯化、增压后循环利用.实现氮气用于硫化及定型的使用成本从0.47元/m3降至0.171元/m3.     

赋艺术于涂料——全水性多彩外墙涂料的艺术功能

艺术,带给人们的是一种美的享受。而将涂料中掺入艺术的元素,它所表现的将是一种意境、一种情感和一种陶醉……     

基于过程控制技术对轮胎硫化过热水主管道振动问题的解决

首先介绍过程控制系统的基本概念、控制模型、质量指标，结合过程控制系统理论分析轮胎硫化过热水制造的控制过程，找出原来控制不稳定的原因，进行被控参数的改变，消除输送管道振动的问题。     

Measuring code maintainability with deep neural networks

The maintainability of source code is a key quality characteristic for software quality. Many approaches have been proposed to quantitatively measure code maintainability. Such approaches rely heavily on code metrics, e.g., the number of Lines of Code and McCabe’s Cyclomatic Complexity. The employed code metrics are essentially statistics regarding code elements, e.g., the numbers of tokens, lines, references, and branch statements. However, natural language in source code, especially identifiers, is rarely exploited by such approaches. As a result, replacing meaningful identifiers with nonsense tokens would not significantly influence their outputs, although the replacement should have significantly reduced code maintainability. To this end, in this paper, we propose a novel approach (called DeepM) to measure code maintainability by exploiting the lexical semantics of text in source code. DeepM leverages deep learning techniques (e.g., LSTM and attention mechanism) to exploit these lexical semantics in measuring code maintainability. Another key rationale of DeepM is that measuring code maintainability is complex and often far beyond the capabilities of statistics or simple heuristics. Consequently, DeepM leverages deep learning techniques to automatically select useful features from complex and lengthy inputs and to construct a complex mapping (rather than simple heuristics) from the input to the output (code maintainability index). DeepM is evaluated on a manually-assessed dataset. The evaluation results suggest that DeepM is accurate, and it generates the same rankings of code maintainability as those of experienced programmers on 87.5% of manually ranked pairs of Java classes.     

High dynamic range image reconstruction for multi-bit quanta image sensor

An adaptive thresholds algorithm is proposed in this letter, which is used to determine the global optimal thresholds for multi-bit quanta image sensor (MB-QIS). Firstly, the senor model of MB-QIS is set up. Then global optimal thresholds theory is analyzed and a thresholds optimization algorithm based on the binary search is designed to determine the optimal global thresholds. Finally, the high dynamic range (HDR) images are reconstructed by the non-iterative maximum likelihood estimation (MLE) image reconstruction method. The results of simulation prove that HDR imaging of MB-QIS is realized by the proposed method effectively.     

管壳式反应器格栅计算程序设计

介绍管壳式反应器格栅计算程序的设计原珲、设计步骤及部分代码。     

铀氢锆堆物理计算模型与程序

文中叙述基于两维四群中子扩散理论的铀氢锆堆物理计算模型及程序,以及用该模型计算的国外 TRIGA 堆的临界,控制棒效率等数据.     

含风电和电动汽车的VPP现货市场投标鲁棒优化模型

当风力发电商(WPG)和电动汽车(EV)聚合商组成的虚拟电场(VPP)参与市场投标时,风电出力的不确定性、预测出力偏差以及市场价格的波动性,都是VPP在参与市场投标时需要考虑的因素。在计及上述因素的影响下,文中研究了由WPG和EV聚合商组成的VPP在日前市场和实时市场的联合竞价模型:假定VPP是价格的接受者,综合考虑日前和实时价格的不确定性,在日前市场中根据风电出力和市场价格的预测结果进行日前竞价,然后在实时市场上参与实时竞价。VPP不但可以通过EV充放电平抑WPG投标偏差,还可以根据价格信号进行充放电投标,实现削峰填谷。通过引入偏差考核机制,在日前和实时市场结束后进行统一结算。基于合作博弈理论,利用Shapley值法将总收益在WPG和EV之间根据各自的贡献进行合理分配。最后,通过算例验证了模型的可行性和有效性,结果表明VPP参与日前和实时市场可以增加收益,降低出力和价格不确定性带来的风险,为新能源参与现货市场的建设提供参考。     

Adaptive stabilisation for a large class of high-order uncertain non-linear systems

The problem of global adaptive stabilisation by state-feedback is investigated for a class of high-order non-linear systems with uncertain control coefficients and zero dynamics. First, some appropriate unknown parameters are introduced to obtain the updating laws when adapting control design. Then, by the flexible way of combining adding a power integrator with adaptive technique and the idea of changing supply functions, the requirement on the uncertain control coefficients is relaxed, and a recursive design procedure is successfully developed to achieve a continuous adaptive stabilising controller. Finally, an example is provided to illustrate the correctness of the theoretical results.     

工业立式常压热水锅炉在安塞油田产能建设中的应用

长庆油田为贯彻“从简、从省、从快、应用新技术”的地面建设原则，应用工业立式常压热水锅炉替代油田一贯使用的加热炉，取得良好的经济技术效益。通过工艺、投资、运行管理等分析比较，证明该技术在低渗透油田的中小型集输系统中使用是一项具有推广价值的新工艺。该工艺是“安塞模式”的重要组成部分，是“三从一新”建设原则的具体体现。本文系统地介绍了工艺技术、经济分析过程及在安塞油田地面建设中取得的良好经济效益。