Performance comparisons of intelligent load forecasting structures and its application to energy-saving load regulation

This study mainly focuses on the development of intelligent forecasting structures via a similar time method with historical load change rates for the hourly, daily and monthly load forecasting simultaneously based on the basic frameworks of fuzzy neural network (FNN) and particle swarm optimization (PSO). In the regulative aspect of network parameters, conventional back-propagation (BP) and PSO tuning algorithms are used, and varied learning rates are designed in the sense of discrete-time Lyapunov stability theory. The performance comparisons of different intelligent forecasting structures including neural network (NN) structure with BP tuning algorithm (NN-BP), FNN structure with BP tuning algorithm (FNN-BP), FNN structure with BP tuning algorithm and varied learning rates (FNN-BP-V), FNN structure with PSO tuning algorithm (FNN-PSO) and newly-designed adaptive PSO (APSO) structure are verified by numerical simulations. In order to verify the effectiveness of the superior APSO forecasting structure in practical energy-saving load regulation, the load forecasting during every 15 min is also given, and its result is used to manipulate the scheduled unloading control of a real case in Taiwan campus.     

A novel optimization-based bandwidth-aware minimum power multicast routing algorithm in green wireless networks

Multicast routing in wireless networks that possess the wireless multicast advantage could significantly reduce the power and energy consumption. However, this kind of multicast routing that only addresses the transmission radius coverage might not be able to meet the bandwidth requirement of the users. As a result, additional transmissions are required to incur more energy consumption and carbon dioxide emissions that make existing algorithms not applicable to bandwidth constrained applications. In this paper, for the first time, we address the bandwidth aware minimum power multicast routing problem in wireless networks where the objective function is to minimize the total power consumption subject to the users?? bandwidth requirements. This problem is a challenging cross-layer design problem that requires seamless and sophisticated integrated design in the network layer (multicast routing) and physical layer (bandwidth-aware wireless transmission and power control). We first formulate this problem as a mixed integer linear programming problem and then propose a Lagrangian relaxation based algorithm to solve this problem. Numerical results demonstrate that the proposed approach is a sound green networking algorithm that outperforms the existing power efficient multicast routing approaches under all tested cases, especially in large bandwidth request, fine radius granularity, large group size and sparse network.     

高速DSP图像处理平台HPI通信接口设计

为基于DSP芯片的高速图像处理平台设计了与主机ARM通信的HPI接口电路.DSP特殊的结构负责复杂的图像处理算法,ARM主机负责整个系统的任务管理,二者有机的结合增强了整个系统的运算能力和人机交互性.重点完成了ARM和DSP之间HPI通信接口的硬件和软件设计、ARM与VGA显示接口的设计,最后通过ARM读取DSP图像处...     

峰值功率分析仪中精密校准源的误差分析

精密校准源是基于二极管检波方式的峰值功率分析仪进行功率测量时的溯源标准,因此要求具有很高的功率准确度。本文针对影响精密校准源功率输出准确度的误差进行了分析,通过对这些误差的修正,使校准源的功率输出在大动态范围内具有了极高的准确度,应用于某峰值功率分析仪中,取得了很好的效果。     

水泥用量对Cl-在混凝土中扩散系数影响的试验研究

采用区组完全试验设计,研究了水灰比和水泥用量对混凝土耐久性能——氯离子在混凝土中的扩散系数的影响作用。根据硝酸银化学滴定法测量得到的氯离子含量分布,拟合回归出自由氯离子初始扩散系数(D0)的预测模型,该模型可用于预测考虑水灰比和水泥用量综合影响作用的自由氯离子初始扩散系数,同时试验验证了回归方程的适用性。     

Sliding-mode-controlled slider-crank mechanism with fuzzy neuralnetwork

The dynamic response of a sliding-mode-controlled slider-crank mechanism, which is driven by a permanent-magnet (PM) synchronous servo motor, is studied in this paper. First, a position controller is developed based on the principles of sliding-mode control. Moreover, to relax the requirement of the bound of uncertainties in the design of a sliding-mode controller, a fuzzy neural network (FNN) sliding-mode controller is investigated, in which a FNN is adopted to adjust the control gain in a switching control law on line to satisfy the sliding mode condition. In addition, to guarantee the convergence of tracking error, analytical methods based on a discrete-type Lyapunov function are proposed to determine the varied learning rates of the FNN. Numerical and experimental results show that the dynamic behaviors of the proposed controller-motor-mechanism system are robust with regard to parametric variations and external disturbances. Furthermore, compared with the sliding-mode controller, smaller control effort results and the chattering phenomenon is much reduced by the proposed FNN sliding-mode controller     

牛α-乳白蛋白-油酸复合物对肿瘤细胞能量代谢的影响

本研究以人肝癌细胞(HepG2)为对象,分为α-LA-OA处理组、牛-α乳白蛋白(α-LA)处理组和溶剂对照组,以细胞的糖酵解和线粒体有氧呼吸2个过程中胞外酸化率和细胞耗氧率的变化水平为衡量指标,评估α-LA-OA对肿瘤细胞能量代谢的影响.结果表明,α-LA-OA能够显著性降低人肝癌细胞的糖酵解能力以及线粒体有氧呼吸能...     

某综合管廊加层改造前检测评估

管廊是化工区常见的一种工业构筑物。随着社会经济的发展,化工企业需要进行技术工艺改造、增加产能等,必要时需对管廊进行加荷或加层。结合上海某化工区综合管廊加层改造前的检测评估工作,对化工环境下旧管架加层前检测评估进行分析。     

级联双稳随机共振系统非线性滤波特性

在级联双稳随机共振理论研究的基础上,探讨了信号通过级联双稳系统后,在能量逐渐由高频向低频转移的同时,还具有非线性的低通滤波特性。对于具有不同幅值分布的各频率分量,仿真实验表明,低频幅值如果相对高频幅值较大,通过较少级数的级联双稳系统可达到较好的低通滤波效果,而对于高频幅值比低频幅值大的情况,通过较多级数的级联双稳系统也可达到满意的低通滤波效果。最后,通过一个金属切削实验说明了其工程实用性。     

浅析酸性水罐氮封系统设计

结合工程实例,简单阐述酸性水罐的氮封系统设计。本设计采用安全水封罐确保酸性水罐压力,通过脱臭罐排放硫化氢气体;在脱臭罐出现事故情况下则通过安全水封罐排放硫化氢气体。该流程与储运常规氮风系统流程相比,更加安全可靠,更有利于减少环境污染。