基于UPDM的合同对海突击作战信息流程建模与仿真研究

针对在单个指挥所统一指挥下的多兵力合同对海突击这一典型作战问题,提出一种基于UPDM体系结构建模软件的建模与仿真方法,详细分析了合同对海突击行动的作战概念、指挥关系及各作战节点间的信息关系,并仿真合同对海突击从情报处理到导弹发射整个过程的情报、指控信息流程,验证了合同对海突击作战信息流程的可行性、合理性。

美国海域感知(MDA)关键技术需求

针对已有海上态势感知和海上情报与海域感知(MDA)的诸多不同,依据美国《为海上安全国家战略而实现海域感知的国家规划》、《海军的海域感知概念》和《国家的海域感知作战概念》3份相关文件,介绍了MDA概念和目的,从美国MDA体系结构、信息收集与存储维护、信息传输与安全保密和信息处理与分发4个方面解读了美国MDA功能性技术需求,归纳了其关键技术需求及特点,有助于深入理解MDA关键技术实现和发展。

Application of response surface methodology in optimizaing thesulfation-roasting-leaching process of nickel laterite

Nickel was recovered from nickel laterite using a sulfation-roasting-leaching process and the effects of operation parameters in- cluding acid addition, roasting temperature, and roasting time on nickel extraction and iron dissolution were investigated using response sur- face methodology （RSM）. Two second-order polynomial models of high significance were presented to show the relationship between the responses and the variables. The analysis of variance （ANOVA） showed high coefficients of determination （R2） of 0.894 and 0.980 for the two models, respectively. Optimum areas of 〉-80% Ni extraction and 〈5% Fe dissolution were obtained by the overlaid contours. Verification experiments in the optimum areas were conducted and the results indicate a close agreement with the predicted values obtained from the models.

指挥信息系统实时目标信息时延划分与影响因素

目标信息时延是度量指挥信息系统实时目标信息时效性的主要指标。首先,介绍了实时目标信息时延的研究现状;然后,给出了定性与定量相结合的时延划分方法,按信息流程和系统功能将时延划分为信息获取、信息处理、指挥决策、响应执行和信息传输时延5部分,按时延分布规律将时延划分为固定(有界)时延、随机时延和马尔可夫时延3种;最后,从系统、结构、环境和人为4个方面分析了影响时延的因素,可为后续实时目标信息时效性研究提供参考。

基于信息流程仿真的作战体系结构设计验证方法

作战体系结构验证是保障和提高作战体系结构质量的重要途径和有效手段,研究意义重大。通过分析常见方法在动态验证方面的不足,以及面向实际需求的验证要求,提出了基于信息流程仿真的作战体系结构设计验证新思路。该方法运用信息流描述体系内部信息传递过程及活动特征,使用UPDM和STK工具建模仿真,开展了完备性、一致性和效用验证。整个验证过程具有较灵活的动态仿真特性,能够较好地描述作战体系内部复杂的信息关系。

发电汽轮机喷嘴室设计优化

喷嘴室是汽轮机中的关键部件,在喷嘴室设计过程中应该考虑其内部流场。针对某垃圾发电项目中温次高压70 MW机组喷嘴室建立三维有限元模型,对比常规结构和在原喷嘴室外形尺寸不变的情况下,增大部分进汽度后流场的变化,对比在两种情况下的压力损失,评估此种增大部分进汽度的方法是否可行,并根据流场对喷嘴室结构设计进行优化。

Robust restoration of low-dose cerebral perfusion CT images using NCS-Unet

Cerebral perfusion computed tomography(PCT)is an important imaging modality for evaluating cerebrovascular diseases and stroke symptoms.With widespread public concern about the potential cancer risks and health hazards associated with cumulative radiation exposure in PCT imaging,considerable research has been conducted to reduce the radiation dose in X-ray-based brain perfusion imaging.Reducing the dose of X-rays causes severe noise and artifacts in PCT images.To solve this problem,we propose a deep learning method called NCS-Unet.The exceptional characteristics of non-subsampled contourlet transform(NSCT)and the Sobel filter are introduced into NCS-Unet.NSCT decomposes the convolved features into high-and low-frequency components.The decomposed high-frequency component retains image edges,contrast imaging traces,and noise,whereas the low-frequency component retains the main image information.The Sobel filter extracts the contours of the original image and the imaging traces caused by the contrast agent decay.The extracted information is added to NCS-Unet to improve its performance in noise reduction and artifact removal.Qualitative and quantitative analyses demonstrated that the proposed NCS-Unet can improve the quality of low-dose cone-beam CT perfusion reconstruction images and the accuracy of perfusion parameter calculations.

Interfaces in Sulfide Solid Electrolyte‑Based All‑Solid‑State Lithium Batteries:Characterization,Mechanism and Strategy

Owing to the advantages of high energy density and environmental friendliness,lithium-ion batteries(LIBs)have been widely used as power sources in electric vehicles,energy storage systems and other devices.Conventional LIBs composed of liquid electrolytes(LEs)have potential safety hazards;thermal runaway easily leads to battery explosion and spontaneous combustion.To realize a large-scale energy storage system with higher safety and higher energy density,replacing LEs with solid-state electrolytes(SSEs)has been pursued.Among the many SSEs,sulfide SSEs are attractive because of their high ionic conductivities,easy processabilities and high thermostabilities.However,interfacial issues(interfacial reactions,chemo-mechanical failure,lithium dendrite formation,etc.)between sulfide SSEs and electrodes are factors limiting widespread application.In addition,the intrinsic interfacial issues of sulfide SSEs(electrochemical windows,diffusion mechanisms of Li^(+),etc.)should not be ignored.In this review,the behaviors,properties and mechanisms of interfaces in all-solid-state lithium batteries with a variety of sulfide SSEs are comprehensively summarized.Additionally,recent research progress on advanced characterization methods and designs used to stabilize interfaces is discussed.Finally,outlooks,challenges and possible interface engineering strategies are analyzed and proposed.

Correction:Interfaces in Sulfide Solid Electrolyte‑Based All‑Solid‑State Lithium Batteries:Characterization,Mechanism and Strategy

Correction to:Electrochemical Energy Reviews(2023)6:10 https://doi.org/10.1007/s41918-022-00176-0 The publication of this article unfortunately contained mistakes.The conflict of interest of one of the authors was missing.

Quantitative Surface Plasmon Interferometry via Upconversion Photoluminescence Mapping

Direct far-field visualization and characterization of surface plasmon polaritons(SPPs)are of great importance for fundamental studies and technological applications.To probe the evanescently confined plasmon fields,one usually requires advanced near-field techniques,which is typically not applicable for real-time,high-throughput detecting or mapping of SPPs in complicated environments.Here,we report the utilization of rare-earth-doped nanoparticles to quantitatively upconvert invisible,evanescently confined SPPs into visible photoluminescence emissions for direct far-field visualization of SPPs in a complicated environment.The observed interference fringes between the SPPs and the coherent incident light at the metal surface provide a quantitative measurement of the SPP wavelength and the SPP propagating length and the local dielectric environments.It thus creates a new signaling pathway to sensitively transduce the local dielectric environment change into interference periodicity variation,enabling a new design of directly measurable,spectrometer-free optical rulers for rapid,ultrasensitive label-free detection of various biomolecules,including streptavidin and prostate-specific antigen,down to the femtomolar level.

Terminal protection of small molecule-linked ssDNA-SWNT nanoassembly for sensitive detection of small molecule and protein interaction

Received 3 December 2012 Received in revised form 27 December 2012 Accepted 31 December 2012 Available online 4 February 2013

基于无机电致变色材料的变色储能器件

电致变色和电化学储能的原理均是基于电荷在电极中的嵌入或脱出而发生的氧化还原反应,具有相同的电化学本质。将电致变色和电化学储能功能集成在一起的电化学器件即电致变色储能器件。以锂离子电池为代表的电化学储能器件已广泛商业化,单一功能的电致变色器件也已被广泛报道并有商业化应用,但有关电致变色储能器件的研究仍然停留在实验阶段。该类器件在电化学储能的同时,可以改变其在可见光甚至红外波段的透射率,并可用颜色指示器件的荷电状态,为电化学器件提供新的应用前景。电致变色储能器件主要包括电致变色超级电容器、电致变色电池和光驱动电致变色智能窗等。电致变色超级电容器和电致变色电池以同时具有电致变色效应和电荷存储性质的材料为正负电极,光驱动电致变色智能窗则还包括将光能转化为电能的光电转换部分。这些器件可用于建筑节能智能窗、静态显示、智能传感等。此外,在柔性基底上制备的可穿戴电致变色储能器件在智能服装、植入显示器和电子皮肤等方面具有应用潜力。本文从基本原理、研究进展和应用领域等方面对无机电致变色储能材料与器件进行综述,并提出未来的研究展望。