马鞍山市区HFC网络的设计

HFC网络的规划设计，应将现有的需求和将来发展目标二者结合起来考虑，尽可能全面、缜密、有预见性地一次性完成规划，实施时可根据财力、物力等因素分期进行。     

纵横交叉算法在配电网故障定位中的应用

基于人工智能算法具有较好的容错性,引入纵横交叉算法(CSO)应用在配电网故障定位过程中。CSO中的横向交叉机制和纵向交叉机制在与竞争算子的配合下提供了较强的搜索能力,能够快速解决多变量非线性优化问题,为准确解决故障定位提供了基础。在多电源分区故障定位中改进适应度函数,对不同区域适应度函数设置区域权值,区域权值由反馈故障电流决定。这种设置方式可以增强算法的容错性,使得输出结果不会因为故障信息在传送过程中发生畸变而误判或者漏判。仿真部分由双电源配电网系统和三电源配电网系统组成,并通过算法进行了验证,每次反馈信息都由一次正常信息和畸变信息组成。从仿真结果可以看出CSO拥有较强的稳定性。     

Cat Swarm Optimization algorithm for optimal linear phase FIR filter design

In this paper a new meta-heuristic search method, called Cat Swarm Optimization (CSO) algorithm is applied to determine the best optimal impulse response coefficients of FIR low pass, high pass, band pass and band stop filters, trying to meet the respective ideal frequency response characteristics. CSO is generated by observing the behaviour of cats and composed of two sub-models. In CSO, one can decide how many cats are used in the iteration. Every cat has its′ own position composed of M dimensions, velocities for each dimension, a fitness value which represents the accommodation of the cat to the fitness function, and a flag to identify whether the cat is in seeking mode or tracing mode. The final solution would be the best position of one of the cats. CSO keeps the best solution until it reaches the end of the iteration. The results of the proposed CSO based approach have been compared to those of other well-known optimization methods such as Real Coded Genetic Algorithm (RGA), standard Particle Swarm Optimization (PSO) and Differential Evolution (DE). The CSO based results confirm the superiority of the proposed CSO for solving FIR filter design problems. The performances of the CSO based designed FIR filters have proven to be superior as compared to those obtained by RGA, conventional PSO and DE. The simulation results also demonstrate that the CSO is the best optimizer among other relevant techniques, not only in the convergence speed but also in the optimal performances of the designed filters.     

频道配置与非线性失真的测量

阐述有线电视系统失真测量存在的一些问题。分析失真产物频点位置的规律。介绍用数学模式模拟多频道系统，并用电脑进行分析方法。     

Impacts of climate change on urban drainage systems – a case study in Fredrikstad,Norway

Norway has frequently encountered flood damage in urban areas during recent years. In this paper the authors, taking Veumdalen catchment in Fredrikstad as an example, simulated the possible consequences in the sewer system, in the present, predicted and artificial climate scenarios. Indicators that describe (1) surface flooding, (2) surcharging sewers, (3) basement flooding and (4) combined sewer overflow (CSO) are defined to represent the adverse effects of climate change. It is concluded from the annual-based simulation that the total volume of water spilling from the flooding manholes will increase 2–4-times the increase in precipitation, and the total CSO will increase 1.5–3-times as much as the increase in precipitation. The simulation results also show that the number of flooding manholes and number of surcharging sewers may change dramatically and irregularly with a slight change of precipitation, and vary with events and durations.     

利用EXCEL进行AM光纤CATV网络设计

灵活运用EXCEL电子表格及其函数,能方便、快捷地计算出分光比、光发射功率.     

分子荧光光谱结合归一化法快速判定大豆原油掺伪

本试验通过大豆原油与成品油的荧光谱图的共同差异,结合谱峰归一化建立了无损、简单、快速、低成本的大豆原油掺伪判别方法。该方法采用荧光光度计,固定激发波长360 nm,设定激发狭缝与发射狭缝均为5 nm,收集不同来源大豆原油、成品油及其不同比例掺混油在370~800 nm的发射荧光谱图。由于大豆原油在388、525和676 nm处均有谱峰,而各成品油仅在417 nm处有强峰,使得它们的掺混油在388nm和525 nm的谱峰强度发生明显变化。利用这一特性,本试验设525 nm处峰强为1,定义388 nm与525 nm的峰强比值乘以100为掺伪指数(Ia)。试验表明:大豆原油中掺入了成品油的Ia均超过20。该方法的最低检出限为10%。     

光纤CATV系统的调试和检测

光纤CATV干线系统包括光发端机、光纤链路和光接收端机3个主要部分,系统的基本要求是保证输出端每条信道射频载波信号电平不小于标准数值84 dBμV,且在信号传输频段内不均匀度为±0.75 dB,系统的主要技术指标包括载噪比和二阶互调失真及三阶差拍。     

Improved chicken swarm optimization to classify dementia MRI images using a novel controlled randomness optimization algorithm

The objective of this research paper is to categorize the magnetic resonance imaging (MRI) images as demented (DEM) or nondemented (ND) using improved chicken swarm optimization technique (ICSO). In literature, CSO technique is widely used to solve numerical optimization and feature selection problem. Using this optimization technique for medical image classification problem will be a pioneering idea. If this technique is directly used to classify the medical images, it provides poor results. Hence, appropriate enhancements are made on the original algorithm using a novel controlled randomness optimization algorithm and control parameter tuning. Cross-over and Rooster selection methods are also implemented in cascaded manner for further performance improvization. All the experiments are made for two cases: with and without statistical features. The brain MRI images of 65 ND and 52 DEM subjects obtained from the Open Access Series of Imaging Studies website are used in this analysis. The ICSO without statistical features provides the highest accuracy of 86.32%, whereas the original chicken swarm optimization technique provides the accuracy of 52.13% and 52.99% with and without statistical features, respectively.     

拉曼放大对长跨距有线电视网中QAM信号的影响

论文研究了在目前的数字CATV网络中使用光纤拉曼放大器改善QAM数字信号的性能,重点分析了数字CATV网络中数字频道和模拟频道的相互影响。分析结果表明:模拟频道的非线性失真指标CSO/CTB对QAM信号的误码率将产生重要影响,从而可以通过采用拉曼放大来改善系统非线性失真指标,进而改善系统的误码率性能。