基于Web的网上作业系统设计与实现

按照网上作业平台系统实现目标,完成了系统功能性需求分析。对文件的数据库方式存储和文件系统方式的存储进行了比较,并分析、设计了本系统的存储结构。完成了数据库概念模型设计和数据表物理模型设计,详细给出了数据库关系图。设计并实现了基于Internet的课程网上作业子系统、个人网络硬盘子系统、课程资源库共享等子系统。该系统已经应用到日常的教学管理中,并取得了不错的效果。     

极端条件下斜转台三轴天线温湿度监控系统的设计与实现

斜转台三轴天线工作温湿度在-40℃～+65℃和20％～100％RH,设计温湿度监控系统以确保天线在极端条件下满足工作环境要求.在斜转台三轴天线的方位舱、俯仰舱、第三轴和中心体内安装温湿度变送器,将温湿度数据采集变换为4～20mA标准工业信号,传输到温湿度显示器上进行显示.温湿度显示器通过RS-485协议与PLC、ACU通信.在温湿度不满足工作环境要求的情况下,控制热风机实现温湿度调控.通过实际检测,此方法监控温湿度,安装简便、效果显著.     

浅谈110 kV变压器的维护与检修

作为电网的核心电气设备,变压器会对电网的运行产生重大影响。为了确保变压器的可靠、安全运行,电力企业需要对变压器进行日常维护与检修。阐述了变压器常见异常状况和日常维护的具体内容,以供参考。     

山西省近50年风速变化及突变特征分析

利用线性拟合、M-K方法对山西省22个气象观测站1960—2010年的逐日风速资料进行了倾向、突变、逐年代变化等特征分析。研究表明,近50年来山西省平均风速存在明显的下降趋势,平均风速由20世纪60年代的2.16 m/s下降到21世纪初的1.86 m/s;不同时间段呈现不同的变化特征,1979—1989年风速出现显著下降,年均递减率达到0.046 m/s,变率远超出其他时段;对近50年山西省平均风速进行M-K检验后发现,在1982年出现明显的突变点。山西省四季平均风速均呈下降趋势,四季风速下降速率最快的为春季,冬季次之,夏季风速下降速率最慢。同样,四季风速均发生突变,突变时间点分布在1980—1985年间。除8月外,山西省各个月份风速也呈下降趋势,且均出现突变现象。     

STM32单片机多串口通信仿真测试技术研究

使用 STM32单片机进行多串口通信,采用虚拟串口软件(VSPD)结合串口调试软件进行多串口通信发送和接收功能的仿真测试研究,克服了 RealView 软件不能仿真接收通信的缺点。介绍了虚拟串口和仿真串口的绑定方法,给出了各模块的软件代码。仿真测试结果表明,采用该方法,可以在没有硬件平台的情况下,完成基于 STM32多串口收发通信的软件开发应用。     

Quaternion-based robust trajectory tracking control for uncertain quadrotors

This paper presents a robust nonlinear controller design approach for uncertain quadrotors to implement trajectory tracking missions. The quaternion representation is applied to describe the rotational dynamics in order to avoid the singularity problem existing in the Euler angle representation. A nonlinear robust controller is proposed, which consists of an attitude controller to stabilize the rotational motions and a position controller to control translational motions. The quadrotor dynamics involves uncertainties such as parameter uncertainties, nonlinearities, and external disturbances and their effects on closed-loop control system can be guaranteed to be restrained. Simulation results on the quadrotor demonstrate the effectiveness of the designed control approach.     

A low-complexity sensor fusion algorithm based on a fiber-optic gyroscope aided camera pose estimation system

Visual tracking, as a popular computer vision technique, has a wide range of applications, such as camera pose estimation. Conventional methods for it are mostly based on vision only, which are complex for image processing due to the use of only one sensor. This paper proposes a novel sensor fusion algorithm fusing the data from the camera and the fiber-optic gyroscope. In this system, the camera acquires images and detects the object directly at the beginning of each tracking stage; while the relative motion between the camera and the object measured by the fiber-optic gyroscope can track the object coordinate so that it can improve the effectiveness of visual tracking. Therefore, the sensor fusion algorithm presented based on the tracking system can overcome the drawbacks of the two sensors and take advantage of the sensor fusion to track the object accurately. In addition, the computational complexity of our proposed algorithm is obviously lower compared with the existing approaches(86% reducing for a 0.5 min visual tracking). Experiment results show that this visual tracking system reduces the tracking error by 6.15% comparing with the conventional vision-only tracking scheme(edge detection), and our proposed sensor fusion algorithm can achieve a long-term tracking with the help of bias drift suppression calibration.     

Single event upset rate modeling for ultra-deep submicron complementary metal-oxide-semiconductor devices

Based on the integral method of single event upset(SEU) rate and an improved charge collection model for ultra-deep submicron complementary metal-oxide-semiconductor(CMOS) devices, three methods of SEU rate calculation are verified and compared. The results show that the integral method and the figure of merit(FOM) methods are basically consistent at the ultra-deep submicron level. By proving the validity of the carrier collection model considering charge sharing, the applicability of two FOM methods is verified, and the trends of single-bit and multiple-bit upset rates for ultra-deep submicron CMOS are analyzed.     

Tree-based data retrieval algorithm for multi-item request with deadline in wireless networks

The data retrieval problem in wireless communication has attracted increasing attentions in many applications such as electronic information sharing and e-business. However, most existing studies do not consider how to retrieve the requested data items in their deadlines. In this paper, we discuss the so-called deadline-based multi-item data retrieval problem, which aims at finding an access pattern for retrieving requested data items in certain deadlines such that the access latency and data miss rate are minimized. We propose two algorithms, named EDFS and UR, to deal with the above problem. The EDFS algorithm gives priority to retrieve the requested data item with the least deadline, while the UR algorithm introduces the urgent rate that is computed by the broadcast time and deadline of requested data item for further reducing the access latency and data miss ratio. Moreover, we design a tree-based data retrieval algorithm that finds the longest downloading sequence of data items in one broadcast cycle and is applied to EDFS and UR for finding data retrieval sequence of requested data items. The efficiency of our proposed schemes has been validated by the extensive experiments.