多流多科目实时数据处理算法的设计与实现

随着飞行试验测试技术的快速发展,单架次需要处理的试飞科目越来越多,而多科目处理参数分布在不同的网络流中,这对机载实时数据处理的效率带来严峻的挑战。利用“合并-处理-分流”的方法,设计一种多流多科目网络数据实时处理算法。该算法将多科目处理参数按照参数名、采样率等信息进行整合形成合并参数列表；在实时处理时根据合并参数信息实时处理多网络流中的数据,并将处理结果存储在数据缓存中；最后将多科目数据进行分流即可得到处理结果。测试结果表明,该算法可实际应用于多流多科目数据处理中,大幅提高实时处理的效率,同时可以得到准确的数据处理结果。     

One size does not fit all: Rethinking recognition system design for behaviorally heterogeneous online communities

Online knowledge-sharing communities typically acknowledge their top contributors by implementing recognition systems. Extant recognition systems suffer from several limitations such as treatment of the entire community as homogeneous and inflexibility of customization. We propose a framework based on socio-technical design principles for designing a multi-criterion- and multi-segment-based recognition system that exploits multiple user characteristics for differential recognition according to community goals. We apply this framework on data gathered from Yelp.com and show how it can be used to recognize top members of different identified behavioral segments (amateurs, adepts, and enthusiasts) based on their performance on various relevant factors.     

Efficient recursive least squares parameter estimation algorithm for accurate nanoCMOS variable gain amplifier performances

ABSTRACT

With the aggressive scaling of integrated circuit technology, parametric estimation is a critical task for designers who looked for solutions to the challenges of some Nanoscale CMOS parameters. This paper presented the prediction of primary parameters of CMOS transistor for 16 nm to 10 nm process nodes using both of Bisquare Weights (BW) method and a novel recursive least squares (RLS) parameter estimation algorithm. The proposed RLS algorithm consists of the minimisation of a quadratic criterion relating to the prediction error in order to attain the best estimated parameters of the developed mathematical model. The obtained results thanks to the proposed RLS algorithm were better than those reached using the BW method. Comparisons between Predictive Technology Model (PTM) data and parameters estimated with RLS algorithm were made to check the validity and the consistency of the proposed algorithm. These predicted primary parameters were helpful to estimate and to optimise the performances of the Variable Gain Amplifier (VGA) which was a basic circuit element with a key role in the design of new upcoming receivers.     

天荣矿二2煤储层物性及特征

煤储层物性及特征是煤层气地质理论的重要内容，加强其研究对提高煤层气勘探开发成效至关重要。基于天荣矿地质、煤层气勘探及相关测试等资料，采用地质与煤层气地质理论对该矿二₂煤储层物性及特征进行了研究。结果表明:天荣矿二₂煤层物理性质良好，生烃物质丰富；煤层含煤性、稳定性、可采性好，煤层气含量和纯度高，可为煤层气开发提供良好对象和气源条件；煤变质程度高，煤中裂隙相对发育，但其渗透性整体较差，渗透率分异显著且普遍低下；煤储层能量较强且分异显著，煤储层压力状态为欠压—超压型，并以正常—超压煤储层压力状态为主，有利于煤层气高产富集。     

井下均压通风防灭火分析

以井下均压通风防灭火为对象开展探究。结合具体工程实际,在分析煤层自燃风险性的基础上,探究了均压通风防灭火的原理,并总结了均压通风防灭火技术的实践应用。结果表明,均压通风防灭火技术的应用实现了对采空区遗煤自燃的有效防治,对提升矿井作业安全性效果显著。     

Experimental validation of predictor-corrector approach based control schemes on the laboratory scale non-linear system

In this work, the authors have designed and implemented predictor-corrector approach based control schemes for a single input-single output nonlinear system. The controller output is computed in two steps. The first step explicitly uses a non-linear model or multiple-linear models weighted using fuzzy membership function to compute the value of the controller output. The second step is based on the measurement, where the value of the controller output computed in first step is updated. The extensive simulation studies show that the set-point tracking and disturbance rejection capability of the proposed control schemes are found to be satisfactory in the absence and presence of Model-plant mismatch. The performances of the proposed control schemes have been compared with that of a gain-scheduled PI controller. In addition, the control schemes are experimentally validated on the laboratory scale conical tank experimental setup.     

白厚漆中挥发性有机物的吹扫捕集/气相色谱-质谱分析方法研究

采用吹扫捕集/气相色谱-质谱法(PT/GC-MS)建立了白厚漆中挥发性有机物的快速分析方法。在优化吹扫捕集和气相色谱-质谱参数的基础上,在白厚漆中共鉴别出34个挥发性有机物成分。该方法简便、快捷、灵敏,适用于白厚漆中挥发性有机物的分析,并为白厚漆对水质和环境的影响研究提供理论依据。     

一种军棋机器博弈的多棋子协同博弈方法

针对在军棋博弈不完全信息对弈中，面对棋子不同价值、不同位置、不同搭配所产生的不同棋力，传统的单子意图搜索算法，不能满足棋子之间的协同性与沟通性，同时也缺乏对敌方的引诱与欺骗等高级对抗能力。本文提出一种结合UCT搜索策略的高价值棋子博弈方法，实现高价值棋子协同博弈的策略。实战经验表明:高价值多棋子军棋协同博弈策略优于单棋子军棋博弈策略。     

Simulation and prediction of hydrological processes based on firefly algorithm with deep learning and support vector for regression

ABSTRACT

Hydrological processes are hard to accurately simulate and predict because of various natural and human influences. In order to improve the simulation and prediction accuracy of the hydrological process, the firefly algorithm with deep learning (DLFA) was used in this study to optimise the parameters of support vector for regression (SVR) automatically, and a prediction model was established based on DLFA and SVR. The hydrological process of Huangfuchuan in Fugu County, Shanxi Province was taken as the research object to verify the performance of the prediction model, and the results were compared with those by the other six prediction models. The experimental results showed that the proposed prediction model achieved improved prediction performance compared with the other six models.     

网络与通信技术在计算机控制中的应用

在社会经济高速发展的支持下,我国网络与通信技术高速发展,并且在发展中逐渐实现了两种技术的结合应用,大大提升了网络与通信技术的应用价值。文章对网络与通信技术进行分析,研究网络与通信技术在计算机控制中应用的时代背景和具体应用,并对其未来发展进行了概述,以促进计算机控制领域的科学化发展。