生态学视角下主题网站群发现算法的研究

以相关度较高的主题网站构成的群落,其分布呈现出显著的生态学特性为理论依据,采用链接分析方法,对主题网站的评价指标以及主题网站之间的关联关系进行研究和分析,提出实用性,相似度,递减度和影响力等主题网站的评价指标,并依据该评价指标,以广度优先为原则,设计主题网站群发现的算法.结果表明,该算法是有效和可行的.     

一种基于物联网技术的智能路灯监控系统设计

为实现城市照明的节能环保、成本控制以及对照明设备的精细管理和远程监控,提出了一种基于物联网技术的智能路灯监控系统设计方案,并介绍了系统实现的关键技术、系统结构和系统主要功能.方案提出GPRS通信与ZigBee通信相结合的一种新型的混合网络结构,服务器上采用GIS技术实现信息图形化,该方案可对单灯或多灯进行智能监控管理.实验表明,系统可靠性较高、功耗较低,并且实施后可延长路灯的使用寿命,降低路灯的损坏率和维护费用,并能提供防盗预警功能.该系统能节省人力物力成本,提升城市照明管理的技术水平和服务水平.     

基于元胞自动机的交通流分析

结合元胞自动机的理论,对车辆运行建立了交通流数学模型.通过C++软件描述了运行车辆除超车之外靠右行规则下,交通流量随换道概率变化的情况;通过Matlab软件进行仿真模拟,揭示了交通密度在右行规则控制下所形成的交通流的规律性.结果表明:在靠右行驶规则下,适当的转向概率和车速有利于交通流量的提升.     

大学英语教师担任本科生导师的探索

本文通过大学英语教师担任本科生导师优劣势比较,以问卷调查和现状陈述为基础,分析了大学英语教师担任本科生导师的可行性和有效性,并结合本科生导师制普遍存在的问题,提出了相应思考和建议。     

Bioelectrochemical sulfate reduction enhanced nitrogen removal from industrial wastewater containing ammonia and sulfate

Low organic carbon-to-nitrogen ratio and existing sulfate (SO₄²⁻) in industrial wastewater limited nitrogen removal. Coupling SO₄²⁻ reduction with sulfide autotrophic denitrification provides a novel strategy. Herein, bioelectrochemical sulfate reduction was coupled with heterotrophic sulfate reduction to drive sulfide autotrophic denitrification. In this coupled system, total nitrogen (TN) removal efficiency was increased from ~25% to ~85% by inputting −45 mA electricity. With the help of supplying electrons to denitrification through SO₄²⁻ reduction, coulomb efficiency was improved to 61.5%. Also, bioelectrochemical sulfate reduction could improve sulfur recovery and thus increase TN removal efficiency. Furthermore, through tuning turnover numbers of SO₄²⁻, high TN removal efficiency can be obtained at various concentrations of SO₄²⁻. Moreover, main functional bacteria in this system were identified. Finally, ~75% TN removal efficiency was achieved with real wastewater in this system. Overall, this work offered a new approach for efficient nitrogen removal from industrial wastewater containing SO₄²⁻.     

Broadband excited Na3Tb(PO4)2:Ce3+/Eu2+ green/yellow-emitting phosphors with high color purity for LED-based application

To enhance the display quality of light-emitting diodes (LEDs), it is of great significance to exploit green/yellow-emitting phosphors with narrow emission band, high quantum yield, and excellent color purity to satisfy the application. Herein, orthophosphate-based green/yellow-emitting Na₃Tb(PO₄)₂:Ce³⁺/Eu²⁺ (NTPO:Ce³⁺/Eu²⁺) phosphors have been successfully synthesized by a facile solid-state reaction method. The absorption band of NTPO samples was extended to the near-ultraviolet region and the absorption efficiency was significantly improved owing to a highly efficient energy transfer from Ce³⁺/Eu²⁺ ion to Tb³⁺ ion in NTPO host certified by time-resolved PL spectra. Upon 300 nm excitation, the NTPO:Ce³⁺ is characterized by ultra-narrow-band green emission of Tb³⁺ with an absolute quantum yield of 94.5%. Unexpectedly, NTPO:Eu²⁺ emits bright yellow light with a color purity of 73% as a result of the blending of green light emission from Tb³⁺ and red light emission from Eu³⁺. The thermal stability has been improved by controlling the stoichiometric ratio of Na⁺. The prototype white LED used yellow-emitting NTPO:Eu²⁺ phosphor has higher color-rendering index (Ra = 83.5), lower correlated color temperature (CCT = 5206 K), and closer CIE color coordinates (0.338, 0.3187) to the standard white point at (0.333, 0.333) than that used green-emitting NTPO:Ce³⁺ phosphor, indicating the addition of the yellow light component improved the Ra of the trichromatic (RGB) materials.     

Electrochemical investigation of La0.4Sr0.6TiO3 synthesized in air for SOFC application

Journal of Applied Electrochemistry - La-doped titanate materials have been widely investigated as alternative Ni-free anodes for solid oxide fuel cells (SOFCs). In this study, La0.4Sr0.6TiO3 (LST)...     

电网调控大数据平台体系架构及关键技术

以数字化技术和能源互联网理念为驱动的"数字新基建"对现有调度自动化系统的数字化转型提出新的挑战,该文考虑调控数据存储规模、数据加工复杂度和数据服务多样化的需求,提出电网调控大数据平台的体系架构.在此基础上,研究了多源调控数据集成与融合、异构数据库分层统一存储、调控数据资产管理、大数据算法引擎等关键技术,实现全业务、全场景的电网调控数据汇集、加工和资产管理.该技术方案为调控云智能分析应用提供了存储、数据和算法的有力支撑.     

基于改进多入多出无模型自适应控制的二维直线电机迭代学习控制

二维直线电机在实际运行中存在强耦合、未知非线性等未建模动态控制问题,且易受外部干扰的影响.基于无模型自适应控制(MFAC)不依赖被控系统精确数学模型的特点及迭代学习控制(ILC)循序渐进的学习规律,提出一种改进多入多出无模型自适应控制(MIMO-MFAC)的二维直线电机迭代学习控制(ILC)复合控制方案.在无模型自适应控制输入准则函数中加入一阶差分单元,使改进多入多出(MIMO)无模型自适应反馈控制器具有很强的鲁棒性.迭代学习前馈控制器可以克服外部干扰,补偿系统非线性,前馈反馈优势互补,实现对期望输出的精度补偿,进一步减小位置跟踪误差.最后,将二维直线电机运动平台与LINKS-RT半实物仿真系统相结合,通过实验验证所提方案的有效性.     

碳纳米纤维增强聚甲醛复合材料制备及性能

通过纳米碳纤维(CNFs)在聚甲醛(POM)基体中的均匀分散以及取向,制备了具有优异力学性能和热性能的POM/CNFs复合材料。利用扫描电子显微镜、透射电子显微镜、拉伸性能测试、热重分析、动态热机械分析测试表征了POM/CNFs复合材料的结构和力学、热学性能。结果表明,CNFs与POM分子链形成氢键相互作用,促进了CNFs在POM基体内分散,同时使POM/CNFs复合材料的结晶度显著提高。随着CNFs含量增加,POM/CNFs复合材料的拉伸强度、储能模量和损耗模量均得到提高。当添加0.5%的CNFs时,拉伸强度、储能模量及损耗模量分别提高了20.5%,127%和58%。进一步研究了高温拉伸对POM/CNFs复合材料性能的影响。结果表明,CNFs沿拉伸方向定向排列,同时复合材料拉伸后结晶度提高,拉伸强度显著增加。