Sensorimotor self-learning model based on operant conditioning for two-wheeled robot

Traditional control methods of two-wheeled robot are usually model-based and require the robot’s precise mathematic model which is hard to get. A sensorimotor self-learning model named SMM TWR is presented in this paper to handle these problems. The model consists of seven elements: the discrete learning time set, the sensory state set, the motion set, the sensorimotor mapping, the state orientation unit, the learning mechanism and the model’s entropy. The learning mechanism for SMM TWR is designed based on the theory of operant conditioning (OC), and it adjusts the sensorimotor mapping at every learning step. This helps the robot to choose motions. The leaning direction of the mechanism is decided by the state orientation unit. Simulation results show that with the sensorimotor model designed, the robot is endowed the abilities of self-learning and self-organizing, and it can learn the skills to keep itself balance through interacting with the environment.     

Gain and noise figure analysis of Er<Superscript>3+</Superscript>-doped YAG transparent ceramic microchip amplifier

The rate equations and the power evolution equations based on excited state absorption (ESA) and cooperative upconversion (CUC) of high concentration erbium-doped yttrium aluminum garnet (YAG) transparent ceramic waveguide amplifier are set up to analyze the effects of the pump power, active ion concentration and waveguide length on the amplifier gain and noise figure (NF). The numerical analysis predicts that with a pump power of 100mW, an active ion concentration of 1.0×10²⁶ ion/m³ and a waveguide length of 3 cm, a small-signal gain of 30 dB and an NF of 5 dB can be achieved in the micro-chip amplifier.     

Design of car battery protection device based on torsion spring

In recent years, electric vehicles are developing rapidly in automotive industry. When involved in accidents, if the batteries of electric cars break, it is likely to cause a short circuit and start a fire. Aimed at this issue, a car battery protection device based on torsion spring has been designed. The car battery protection device can deform in a particular pattern in a collision accident. Impact energy of the accident is absorbed by the deformation, which can significantly reduce impact force on the batteries. Meanwhile, based on the principle of maximum energy absorption, some crucial parameters of the device can be determined. Furthermore, an impact simulation conducted on ANSYS software shows that maximum safety factors can be obtained when the material of car battery protection device is carbon steel. The analysis of “safe space” in the car battery protection device shows that the device can prevent battery damage effectively in general circumstances, which means the reliability of the device has been verified. Therefore, when applied to electric vehicles, the car battery protection device, which can prevent secondary accidents, significantly improves the vehicle security in accidents.     

交通指路标志信息量化分析

交通指路标志信息认知的水平直接影响出行者寻路的安全性和舒适性。对不同信息组织形式的交通指路标志进行标志信息理解实验,发现交通指路标志版面信息的位置及字符排列方向对信息的理解水平存在显著性影响。当标志上信息的位置与在路网中的相对位置相同,且字符排列方向没有旋转、与道路线形保持一致时,信息的理解水平较高;当标志上信息被移动或旋转时,信息的理解水平将降低42%~66%。     

GPS-RTK技术在铁路测量中的应用

介绍RTK技术应用于铁路定测的基本方法和步骤,通过应用实例证实了该技术的可行性和优越性。实践证明这种作业方法能够省掉不必要的中间环节,最大限度地减少外业工作量,从而缩短整个勘测工期。     

一年潮流数据的调和分析研究

对一年潮流实测数据进行了调和分析试验研究。通过对实测数据和模型残差的频谱分析,验证了调和分析模型及其结果的正确性,并在理论上对模型残差的组成进行了分析,由结果可知,短期气象因素和季节性变化异常是造成调和分析模型偏差的主要因素,且该偏差可能具有较大量级。     

日本造船业的危机应对

接单策略偏于谨慎 2008年初时,日本各大船厂手持订单饱满,生产任务普遍排至2011年左右,而造船钢材价格却是一涨再涨,使得本来可以获利的订单转眼间变成赔本的生意,船厂的财务业绩因钢材上涨而面临巨大压力,接单越多可能最后亏损越多.     

FFA如何实现套期保值

2008年国内市场上集中出现一系列的衍生品交易亏损事件.如东航、国航燃油套保亏损,中信泰富澳元套保巨亏,深南电原油套保面临巨大风险,中国远洋的FFA亏损等.这些是继前几年"国储铜"和"中航油"事件之后,衍生品交易再度集中走进人们的视野.     

舰艇雷达有源干扰战术运用研究

从水面舰艇雷达有源干扰的任务、特点、分类等问题出发,研究舰艇雷达有源干扰的战术运用,并在此基础上通过建立雷达有源干扰方程进行定量分析和研究。     

超宽带对卫星通信业务的干扰分析

针对超宽带（UWB,Ultra Wide Band）设备对窄带无线业务的干扰,通过对UWB空间分布进行投影和方位加权,提出一种新的三维投影干扰分析模型。该模型适于分析UWB设备对高增益、强方向性受扰设备干扰。在此模型基础上分析UWB对卫星通信业务的干扰,通过仿真得出了C波段卫星通信业务对UWB的使用限制。