极品猫狗大比拼

51wan的《猫狗大战》是一款冒险类的回合制网页游戏。在游戏中玩家们需要指挥自己麾下不同的“猫狗”进行搓招。无论是进行战斗、攻城掠地都缺不了“猫狗”!所以猫狗就是游戏中的英雄．而“极品猫狗”则是“英雄”中的“超级英雄”．它们天生就比普通“猫狗”要厉害许多。所谓：“极品”在手。天下我有!今天就来瞧瞧这些“超级英雄”的特殊本领！     

基于系统动力学的环境污染演化博弈问题研究

用系统动力学建立环境污染管理问题中政府管理部门与生产排污企业之间的一个混合战略演化博弈模型.仿真结果表明:非对称结构的2*2混合策略演化博弈模型不存在演化均衡.从监管部门的角度出发,改变博弈支付矩阵在演化博弈过程始终保持不变的情况,在博弈支付矩阵中考虑动态惩罚策略.结果表明,本策略的演化博弈模型存在演化稳定均衡,即Nash均衡.系统动力学为演化博弈理论的验证和应用提供一个政策仿真实验平台.     

The cost of approximate controllability for semilinear heat equations

We consider the semilinear heat equation with globally Lipschitz non-linearity involving gradient terms in a bounded domain of R^n. In this paper, we obtain explicit bounds of the cost of approximate controllability, i.e., of the minimal norm of a control needed to control the system approximately. The methods we used combine global Carleman estimates, the variational approach to approximate controllability and Schauder＇s fixed point theorem.     

机器鱼的无半径转弯

在研究机器鱼机动性的情况下,建立了无半径转弯的运动学模型,该模型实现了机器鱼在改变方向时不影响位置的变化,最后通过水动力学分析和仿真实验验证这一理论是合理的.     

用地震速度反演重建声波曲线

由于受地震仪器观测精度及计算机处理能力的限制,地震反演的速度曲线所能达到的分辨率能力,不能满足勘探目标的需要（例如,１０ｍ以内的薄互层反演）。现设想地层沉积结构分形的特征,则可通过分形计算求得速度变化细节,尽可能地逼近实测的声波曲线。我们将这种由地震速度反演曲线进行分形计算的结果称为“重建的声波曲线”。通过对实际资料的试算表明,在声测资料较理想的情况下,重建的声波曲线与实测的声波测井曲线有很好的相     

A multi-energy inertia-based power support strategy with gas network constraints

An integrated energy system with multiple types of energy can support power shortages caused by the uncertainty of renewable energy. With full consideration of gas network constraints, this paper proposes a multi-energy inertia-based power support strategy. The definition and modelling of gas inertia are given first to demonstrate its ability to mitigate power fluctuations. Since partial utilization of gas inertia can influence overall gas network parameters, the gas network is modelled with an analysis of network dynamic changes. A multi-energy inertia-based power support model and strategy are then proposed for fully using gas-thermal inertia resources in integrated energy systems. The influence of gas network constraints on strategy, economy and power outputs is analyzed. Special circumstances where the gas network can be simplified are introduced. This improves the response speed and application value. The feasibility and effectiveness of the proposed strategy are assessed using a real scenario.     

Sensing as the key to the safety and sustainability of new energy storage devices

New energy storage devices such as batteries and supercapacitors are widely used in various felds because of their irreplaceable excellent characteristics. Because there are relatively few monitoring parameters and limited understanding of their operation, they present problems in accurately predicting their state and controlling operation, such as state of charge, state of health, and early failure indicators. Poor monitoring can seriously afect the performance of energy storage devices. Therefore, to maximize the efciency of new energy storage devices without damaging the equipment, it is important to make full use of sensing systems to accurately monitor important parameters such as voltage, current, temperature, and strain. These are highly related to their states. Hence, this paper reviews the sensing methods and divides them into two categories: embedded and non-embedded sensors. A variety of measurement methods used to measure the above parameters of various new energy storage devices such as batteries and supercapacitors are systematically summarized. The methods with diferent innovative points are listed, their advantages and disadvantages are summarized, and the application of optical fber sensors is emphasized. Finally, the challenges and prospects for these studies are described. The intent is to encourage researchers in relevant felds to study the early warning of safety accidents from the root causes.     

基于区域划分和余弦定理的DV-Hop算法改进

针对传统距离向量-跳段定位算法(Distance Vector-Hop,DV-HOP)存在的节点密度分布不均引起误差比较大的问题,根据DV-Hop算法特性,采用余弦定理,证明节点密度越大所得定位坐标越准确,使用余弦定理减少在节点密度过大时因空间角度导致节点路径曲折过多而引起的误差,同时提出一种区域划分的改进算法,减少在节点密度较小区域的误差;利用接收信号强度指示(Received Signal Strength Indicator,RSSI)对跳数进行量化分级处理,改善实际距离与计算出的距离相差过大的情况;最后采用最小二乘法估计未知节点坐标。仿真表明,所提出的算法与传统的DV-Hop算法相比,误差有一定的减少。     

Face anti-spoofing based on multi-modal and multi-scale features fusion

Face anti-spoofing is used to assist face recognition system to judge whether the detected face is real face or fake face. In the traditional face anti-spoofing methods, features extracted by hand are used to describe the difference between living face and fraudulent face. But these handmade features do not apply to different variations in an unconstrained environment. The convolutional neural network (CNN) for face deceptions achieves considerable results. However, most existing neural network-based methods simply use neural networks to extract single-scale features from single-modal data, while ignoring multi-scale and multi-modal information. To address this problem, a novel face anti-spoofing method based on multi-modal and multi-scale features fusion ( MMFF) is proposed. Specifically, first residual network ( Resnet )-34 is adopted to extract features of different scales from each modality, then these features of different scales are fused by feature pyramid network (FPN), finally squeeze-and-excitation fusion ( SEF) module and self-attention network ( SAN) are combined to fuse features from different modalities for classification. Experiments on the CASIA-SURF dataset show that the new method based on MMFF achieves better performance compared with most existing methods.     

IEEE 802.15.4a工业无线标准的研究与应用

对目前常用的几种工业无线标准进行了简单比较,并着重介绍了低速无线个人区域网络的新标准IEEE802．15．4a及其关键技术MDMA和CCS。新标准采用Chirp扩频物理层技术作为物理层标准,对工业环境中的干扰等具有很强的鲁棒性。以IEEE802．15．4a为基础,在现场总线测控系统中构建了无线子网段,实验表明系统处于稳定运行状态,且满足一般流程工业要求。该实例为工业无线网络接入到有线网络提供了一种解决方案,新标准在工业现场的短距离传输方面将会有广阔的应用前景。