Self-clocking principle for congestion control in the Internet

The self-clocking principle (SCP) of Transmission Control Protocol (TCP) had been analyzed for a network implementing a per-flow buffering scheme. The ideal SCP is yet unknown for the Internet which implements a first-in–first-out buffering scheme. This paper derives an ideal SCP for the Internet by formulating the traffic transmission control as a typical control problem and then solving it by a control-theoretic approach. The ideal SCP reveals the defect of the SCP being deployed in the Internet that it is insufficient to avoid congestion by adjusting the packet effective window based on records of the outstanding packets of a single source; instead outstanding packets from other sources also have to be counted. The ideal SCP also reveals the difficulties of developing and implementing an effective self-clocking scheme for congestion control in the Internet.     

Robust tracking control of an array of nanoparticles moving on a substrate

Control of nanosystems with frictional dynamics using feedback control methods is important to a wide range of applications of nanotribology. This paper studies the tracking control problem of an array of nanoparticles moving on a substrate with friction between the substrate and the particles. The focus of this study is on control design and stability analysis. The major challenges in this problem include nonlinearities and uncertainties in the frictional dynamics and limited availability of measurable states in nanosystems. The particle–substrate interaction is considered to be unknown, and the unknown effect of unmodeled particle dynamics on the dynamics of the center of mass of the array is also considered. A nonlinear identifier is first developed to identify these unmodeled dynamics. A feedback controller is then developed based on the identifier to control the center of mass of the particles to track a desired trajectory. Boundedness of the closed-loop states and semiglobal asymptotic stability of the tracking error are proven using Lyapunov theory for the case of linear inter-particle interactions. An example with more general Morse-type inter-particle interactions is included to provide some level of confidence that the results are general but not assuredness that they are. Numerical simulation results are provided to demonstrate the performance of the developed identification and control law.     

Accurate mirror-based camera pose estimation with explicit geometric meanings

An accurate closed form solution is proposed to estimate camera pose by several mirrored reference object images acquired via a planar mirror under different unknown poses. Compared with state-of-the-art methods, our method is more accurate when there are more than three images and has explicit geometric meanings. This method also properly handles cases in which some of the mirror poses are parallel. The central idea is to minimize an error metric based on all reflections of rotation, which enables the camera rotation to be estimated directly by SVD of sum of mirrored camera rotations. After that, the camera translation is computed by solving a large system of linear equations to minimize object space collinearity error. Both synthesized data and real data experiments show the advantages of our approach.     

MD simulation of nanometric cutting of copper with and without water lubrication

Three-dimensional molecular dynamics(MD)simulation was carried out to understand the mechanism of water lubrication in nanometric cutting.The water-lubricated cutting was compared with the dry cutting process in terms of lattice deformation,cutting force,heat and pressure distribution,and machined surface integrity.It was found that water molecules effectively reduce the friction between the tool and workpiece,the heat in the cutting zone and the pressure being generated on the tool surface,thus leading to prolonged tool life.Water molecules also enlarged the pressure-affected area,which decreased the roughness of the machined surface.     

The conditions for onset of beta oscillations in an extended subthalamic nucleus-globus pallidus network

The persistence of beta oscillations generated in the basal ganglia is typical pathological characteristic of Parkin-son's disease.In this paper,we construct a new network model,which is mainly composed of the subthalamic nu-cleus and the globus pallidus.Based on theory analysis,we obtained the beta shock conditions in the proposed model.It is shown that numerical simulations are in good agreement with analytical results.At last,the effects of cortex and striatum inputs on the generation of oscillations are also discussed.We hope that the obtained results may find applications to treatment of Parkinson’s disease and study of neural oscillations produced in other parts of the brain neural network.     

喷管尺寸对火箭发动机喷流噪声影响研究

为了研究喷管尺寸对火箭发动机喷流噪声声场分布的影响规律,采用LES与FW-H相结合的方法,针对不同喷管尺寸的高温燃气喷流气动声场进行了数值模拟,并分析了声场特性。数值结果表明,火箭发动机喷流远场噪声具有方向性,噪声声压级在离开喷流中心轴线40°处达到最大值;喷流噪声声场的声压级随着喷管尺寸的增大而增加。研究结果为不同尺寸的火箭发动机喷流噪声预测提供参考依据。     

壁湍流猝发事件检测与提取方法研究

在重力式低速水洞中完成了湍流边界层流场测量,并分别利用自相关方法和小波分析方法,对对数律区中一测点处的速度信号进行了分析。结果表明,自相关方法对于平均猝发周期的检测精度较高;小波分析方法可用于猝发事件的提取,但对平均猝发周期的检测精度较低。为此,进一步提出了一种同时基于自相关方法和小波分析方法的壁湍流猝发事件快速检测与提取方法,并总结了该方法的具体实施步骤。与原方法相比,该方法既能够精确检测湍流平均猝发周期,又能够提高猝发事件的提取精度。     

Porous haydite used as waste water filter medium for lake sludge

Porous haydite used as waste filter medium was prepared by dreging lake sludge to help solve the treatment problem of sludge and realize its reclamation. Several calcination regimes were considered and their effects on the pore structure and the properties such as the strength, the density, the filtering ability and the phosphate absorption ability of the haydite were investigated. For the mixture of 60% lake sludge and 40% fly ash in this experiment, the calcination regime with a pre-calcination period at about 600 °C, a temperature keeping period at 1 200 °C and a moderate cooling rate are recommended to prepare haydite with reasonable pore structure and good performances for its usage as the waste water filter media.     

利用路径优先级实现传感器网络中的拥塞避免

提出了一种基于路径优先级的多路径传感器网络拥塞避免算法.传感器节点通过监测队列剩余空间长度和拥塞状态持续时间实时更新节点的拥塞状态指数(CSI),当检测到CSI发生改变时,计算节点的路由状态指数(RP-SI)并通知其邻居节点,邻居节点更新记录下游节点的RPSI,调整下游路径的优先级.传感器节点根据信息优先级的不同,通过不同优先级的路径发送数据.仿真结果表明,提出的算法在减少网络拥塞的发生和减少网络时延等方面取得了很好的性能.