聚类算法分析及在GIS中心选址中的仿真研究

通过对聚类算法初始点选择策略的分析和比较,经典k-means算法在GIS海量数据处理上的效率问题,提出了随机采样的k-means算法来进行坐标聚类;并将随机采样k-means算法应用于GIS中心选址,充分利用GIS数据分析和处理能力,以城市间的欧几里得距离为相似条件,采用最大最小原则选取初始点进行聚类,从而缓解局部最优解产生的概率;选取中心城市作为目标对象,从而提高商业决策的充分性和可靠性;经仿真结果验证了所提出的随机取样k-means算法的有效性和正确率。     

基于CAN总线的模态测试悬挂控制系统设计

阐述了模态测试悬挂控制系统的研究意义,分析了模态测试悬挂控制系统的工作原理和硬件结构,制定了适合模态试验悬挂控制系统的CAN通讯协议,设计了底层电磁力与气压控制软件、上/下位机通信软件和上层工控机监控软件;试验结果表明,基于CAN总线的模态测试悬挂控制系统具有控制精度高、工作稳定可靠、通信速度快和可扩展性强等特点,很好地实现了模态测试悬挂控制系统预期的研制指标。     

基于分数傅立叶变换的机载SAR多运动目标检测

机载合成孔径雷达（SAR）运动目标回波本质上为chirp信号,基于分数阶傅里叶变换（FRFT）的chirp基分解特性及分数阶傅立叶变换与时频分布的关系,给出了一种基于FRFT的针对强度相差较大的多运动目标检测方法。与传统的WVD方法相比,FRFT是一个线性变换,因此对于多个动目标就没有交叉项的干扰,简化了处理过程降低了处理复杂度。仿真结果验证了其有效性。     

A -based optimal finite-word-length controller design

A novel optimal Finite Word Length (FWL) controller design is proposed in the framework of μ theory. A computationally tractable close-loop stability measure with FWL implementation considerations of the controller is derived based on the μ theory, and the optimal FWL controller realizations are obtained by solving the resulting optimal FWL realization problem using linear matrix inequality techniques.     

数据挖掘技术在高校就业工作中的应用研究

对于高校就业管理信息系统中积累的大量数据,运用数据挖掘算法中的决策村方法挖掘出潜在的有用的信息,为高校开展就业工作提供决策支持.根据就业数据的特点,采用C4.5决策树算法,对就业数据进行预处理,选取决策属性,实现挖掘算法并抽取规则知识,由规则知识指出哪些决策属性决定了就业单位的类别.挖掘结果表明,该算法能够正确将就业数据分类,并得到若干有价值的结论,供决策分析.     

区块链技术在多元融合高弹性电网中的应用初探

多元融合高弹性电网通过构建源网荷储全向交互机制,显著提升了电网的互动与自愈能力。区块链技术采用去中心化理念和分布式记账模式,保障数据可信,打破信任壁垒,为电网多端友好互动提供了核心技术支撑。基于现有理论研究与工程实践,区块链的技术特征与高弹性电网的形态架构具有较强的理念契合性和技术互补性,区块链有潜力成为多元融合高弹性电网的重要赋能技术。面向多元融合高弹性电网的建设目标,刻画了区块链技术与高弹性电网深度融合的应用场景,梳理了建设高弹性电网过程中的关键痛点,阐明了区块链之于高弹性电网的技术赋能要素及匹配关系。面向高弹性电网的建设需求,提出了区块链系统的设计原则、评价指标以及设计流程,并以需求响应为例进行系统设计与性能测试,为区块链技术在高弹性电网中的应用提供理论支撑。     

Fine-Tuning Alkyl Chains on Quinoxaline Nonfullerene Acceptors Enables High-Efficiency Ternary Organic Solar Cells with Optimizing Molecular Stacking and Reducing Energy Loss

Material design of guest acceptor is always a big challenge for improving the efficiency of ternary organic solar cells (OSCs). Here, a pair of isomeric nonfullerene acceptors based on quinoxaline core, Qx–p-C₇H₈O and Qx–m-C₇H₈O, is designed and synthesized. By moving the alkoxy chain attached on side phenyl from meta-position to para-position, both π–π stacking distance and crystallinity are enhanced simultaneously. They obtain the uplifted lowest unoccupied molecular orbital level. Compared to Qx–m-C₇H₈O, Qx–p-C₇H₈O exhibits wider absorption spectrum and higher extinction coefficient. Using D18-Cl:N3 as host materials, the addition of guest acceptor Qx–p-C₇H₈O significantly improves the power conversion efficiency (PCE) from 17.61% to 18.49% because of higher open-circuit voltage (0.875 V) and short-circuit current density (27.85 mA cm⁻²). This can be attributed to the faster exciton dissociation, more balanced carrier mobility, fine fiber morphology, and lower energy loss in the ternary devices. However, Qx–m-C₇H₈O-based ternary device achieves relatively low PCE of 17.17% because this device shows extremely low electron mobility. The results indicate that molecular stacking, film morphology, etc., can be effectively modulated by fine-tuning the side chains of guest materials, which may be an effective design rule for further improving the PCE of OSCs.     

Surface Oxygen Coordination of Hydrogen Bond Chemistry for Aqueous Ammonium Ion Hybrid Supercapacitor

Aqueous ammonium ion hybrid supercapacitor (A-HSC) combines the charge storage mechanisms of surface adsorption and bulk intercalation, making it a low-cost, safe, and sustainable energy storage candidate. However, its development is hindered by the low capacity and unclear charge storage fundamentals. Here, the strategy of phosphate ion-assisted surface functionalization is used to increase the ammonium ion storage capacity of an α-MoO₃ electrode. Moreover, the understanding of charge storage mechanisms via structural characterization, electrochemical analysis, and theoretical calculation is advanced. It is shown that NH₄⁺ intercalation into layered α-MoO₃ is not dominant in the A-HSC system; rather, the charge storage mainly depends on the adsorption energy of surface “O” to NH₄⁺. It is further revealed that the hydrogen bond chemistry of the coordination between “O” of surface phosphate ion and NH₄⁺ is the reason for the capacity increase of MoO₃. This study not only advances the basic understanding of rechargeable aqueous A-HSC but also demonstrates the promising future of surface engineering strategies for energy storage devices.     

Plasma Enhanced Lithium Coupled with Cobalt Fibers Arrays for Advanced Energy Storage

Construction of high efficiency and stable Li metal anodes is extremely vital to the breakthrough of Li metal batteries. In this study, for the first time, groundbreaking in situ plasma interphase engineering is reported to construct high-quality lithium halides-dominated solid electrolyte interphase layer on Li metal to stabilize & protect the anode. Typically, SF₆ plasma-induced sulfured and fluorinated interphase (SFI) is composed of LiF and Li₂S, interwoven with each other to form a consecutive solid electrolyte interphase. Simultaneously, brand-new vertical Co fibers (diameter: ≈5 µm) scaffold is designed via a facile magnetic-field-assisted hydrothermal method to collaborate with plasma-enhanced Li metal anodes (SFI@Li/Co). The Co fibers scaffold accommodates active Li with mechanical integrity and decreases local current density with good lithiophilicity and low geometric tortuosity, supported by DFT calculations and COMSOL Multiphysics simulation. Consequently, the assembled symmetric cells with SFI@Li/Co anodes exhibit superior stability over 525 h with a small voltage hysteresis (125 mV at 5 mA cm⁻²) and improved Coulombic efficiency (99.7%), much better than the counterparts. Enhanced electrochemical performance is also demonstrated in full cells with commercial cathodes and SFI@Li/Co anode. The research offers a new route to develop advanced alkali metal anodes for energy storage.     

服务差异二级选址路径问题及大邻域搜索算法

在电子商务背景下,物流公司为了实现及时交付并缓解交通拥堵,可按照客户不同的服务需求,将其分为自取型和配送型,进而选择开放自助点或配送点对客户进行服务。自助点和配送点作为二级物流设施,配送中心作为一级物流设施,由此形成了二级选址-路径问题。在配送车数量约束、自助点容量约束等限制下,兼顾客户点物品回收,以总物流成本最小为目标,建立考虑服务差异的二级选址-路径问题模型。设计自适应大邻域搜索算法进行求解,通过Nguyen的2E-LRP算例进行测试,更新了1个算例的全球最优解,其余算例达到或接近最优解,平均Gap值在1.22%以内,验证了算法的有效性及良好的收敛性。实际案例模拟分析验证了模型的有效性和适用性,可以为相关物流企业提供决策依据和参考。