如何实现数据库连接池DDConnectionBroker

数据库连接的建立及关闭对整个计算机硬件系统与计算机软件系统而言是耗费资源的操作，例如建立每个与数据库的连接需要消耗CPU处理时间与计算机内存等。在多层结构的应用程序环境中，这种耗费资源的动作对系统的性能影响尤为明显，传统的数据库连接方式中，一个数据库连接对象均对应一个物理数据库连接，每次操作都打开一个物理连接，使用完都关闭连接，这样造成系统的性能低下。

预制混凝土构件钢筋浆锚对接连接受拉性能

为改善预制混凝土构件钢筋连接工艺及性能,提出一种预制混凝土构件钢筋浆锚对接连接技术。针对该新型钢筋连接的传力可靠性问题,开展了考虑钢筋直径、混凝土强度和浆锚长度变化的接头单向拉伸试验。试验结果表明,钢筋浆锚对接连接接头受拉性能由钢筋浆锚长度与帮条钢筋承载力共同控制,与混凝土强度无明显关系,表现为帮条钢筋配置相同的条件下,12 mm、14 mm直径连接钢筋试件分别在0.5l a(受拉钢筋基本锚固长度)、0.6l a钢筋浆锚长度条件下实现钢筋拉断,16 mm直径连接钢筋试件在0.6l a钢筋浆锚长度条件下发生帮条钢筋拉断。结合数据分析,建议12~16 mm直径连接钢筋浆锚长度按0.6l a控制,帮条钢筋与连接钢筋牌号相同的前提下,12~14 mm直径连接钢筋的帮条钢筋按4 C 8设计,16 mm直径连接钢筋的帮条钢筋应按6 C 8设计。同时,试验中钢筋镦头构造可保证钢筋充分锚固,其具体尺寸可用于指导钢筋加工;螺旋筋对接头受拉性能影响不明显,可参照本次试验参数进行设计。

基于代理的Java数据库连接池设计研究

针对普通Java数据库连接池无法对个别连接独占控制的问题,设计了基于代理的新型Java数据库连接池,本文介绍了连接池的工作原理,对绑定策略、连接池创建及分配与释放进行优化设计并分析了连接池的具体实现。结果证实基于代理的Java数据库连接(java database connectivity, JDBC)池能够提高连接池的性能和可扩展性,有效地处理异常情况,保证应用程序的稳定运行。

Ultra Reliable Load-Aware Connection Management(LACM)Algorithm in WIA-FA Systems

The increasing demand for industrial automation and intelligence has put forward higher requirements for the reliability of industrial wireless communication technology.As an international standard based on 802.11,Wireless networks for Industrial Automation-Factory Automation(WIA-FA)greatly improves the reliability in factory automation scenarios by Time Division Multiple Access(TDMA).However,in ultra-dense WIA-FA networks with mobile users,the basic connection management mechanism is inefficient.Most of the handover and resource management algorithms are all based on frequency division multiplexing,not suitable for the TDMA in the WIA-FA network.Therefore,we propose Load-aware Connection Management(LACM)algorithm to adjust the linkage and balance the load of access devices to avoid blocking and improve the reliability of the system.And then we simulate the algorithm to find the optimal settings of the parameters.After comparing with other existing algorithms,the result of the simulation proves that LACM is more efficient in reliability and maintains high reliability of more than 99.8%even in the ultra-dense moving scenario with 1500 field devices.Besides,this algorithm ensures that only a few signaling exchanges are required to ensure load bal-ancing,which is no more than 5 times,and less than half of the best state-of-the-art algorithm.

Seismic fragility analysis of three-tower cable-stayed bridges with different connection configurations

Seismic fragility analysis of three-tower cable-stayed bridges with three different structural systems,including rigid system(RS),floating system(FS),and passive energy dissipation system(PEDS),is conducted to study the effects of connection configurations on seismic responses and fragilities.Finite element models of bridges are established using OpenSees.A new ground motion screening method based on the statistical characteristic of the predominant period is proposed to avoid irregular behavior in the selection process of ground motions,and incremental dynamic analysis(IDA)is performed to develop components and systems fragility curves.The effects of damper failure on calculated results for PEDS are examined in terms of seismic response and fragility analysis.The results show that the bridge tower is the most affected component by different structural systems.For RS,the fragility of the middle tower is significantly higher than other components,and the bridge failure starts from the middle tower,exhibiting a characteristic of local failure.For FS and PEDS,the fragility of the edge tower is higher than the middle tower.The system fragility of RS is higher than FS and PEDS.Taking the failure of dampers into account is necessary to obtain reliable seismic capacity of cable-stayed bridges.

The Gut Brain Connection

The gut-brain connection is a bidirectional communication system that links the gut microbiome to the central nervous system (CNS). The gut-brain axis communicates through a variety of mechanisms, including the release of hormones, neurotransmitters, and cytokines. These signaling molecules can travel from the gut to the brain and vice versa, influencing various physiological and cognitive functions. Emerging therapeutic strategies targeting the gut-brain connection include probiotics, prebiotics, and faecal microbiota transplantation (FMT). Probiotics are live microorganisms that are similar to the beneficial bacteria that are naturally found in the gut. Prebiotics are non-digestible fibers that feed the beneficial bacteria in the gut. FMT is a procedure in which faecal matter from a healthy donor is transplanted into the gut of a person with a diseased microbiome. Probiotics, prebiotics, and FMT have been shown to be effective in treating a variety of gastrointestinal disorders, and there is growing evidence that they may also be effective in treating neurological and psychiatric disorders. This review explores the emerging field of the gut-brain connection, focusing on the communication pathways between the gut microbiome and the central nervous system. We summarize the potential roles of gut dysbiosis in various neurological and psychiatric disorders. Additionally, we discuss potential therapeutic strategies, research limitations, and future directions in this exciting area of research. More research is needed to fully understand the mechanisms underlying the gut-brain connection and to develop safe and effective therapies that target this pathway. However, the findings to date are promising, and there is the potential to revolutionize the way we diagnose and treat a variety of neurological and psychiatric disorders.

Connection by Mountains and Seas,Mutual Learning among Civilizations A Curatorial Overview of‘The Forbidden City and the Palace of Versailles:Exchanges Between China and France in the 17th and 18th Centuries’

In the context of the 60th anniversary of diplomatic relations between China and France and the upcoming 2024 China-France Year of Culture and Tourism,the exhibition"The Forbidden City and the Palace of Versailles"jointly hosted by the Palace Museum and the Palace of Versailles presents a comprehensive view of the extensive and deep interactions between China and France in the realms of diplomacy,culture,and art during the 17th and 18th centuries.

Electromechanical Transient Modeling Analysis of Large-Scale New Energy Grid Connection

The synchronous virtual machine uses inverter power to imitate the performance of the conventional synchronous machine.It also has the same inertia,damping,frequency,voltage regulation,and other external performance as the generator.It is the key technology to realize new energy grid connections’stable and reliable operation.This project studies a dynamic simulation model of an extensive new energy power system based on the virtual synchronous motor.A new energy storage method is proposed.The mathematical energy storage model is established by combining the fixed rotor model of a synchronous virtual machine with the charge-discharge power,state of charge,operation efficiency,dead zone,and inverter constraint.The rapid conversion of energy storage devices absorbs the excess instantaneous kinetic energy caused by interference.The branch transient of the critical cut set in the system can be confined to a limited area.Thus,the virtual synchronizer’s kinetic and potential energy can be efficiently converted into an instantaneous state.The simulation of power system analysis software package(PSASP)verifies the correctness of the theory and algorithm in this paper.This paper provides a theoretical basis for improving the transient stability of new energy-connected power grids.

Multiscale Characteristics and Connection Mechanisms of Attraction Networks:A Trajectory Data Mining Approach Leveraging Geotagged Data

Urban tourism is considered a complex system,and multiscale exploration of the organizational patterns of attraction networks has become a topical issue in urban tourism,so exploring the multiscale characteristics and connection mechanisms of attraction networks is important for understanding the linkages between attractions and even the future destination planning.This paper uses geotagging data to compare the links between attractions in Beijing,China during four different periods:the pre-Olympic period(2004–2007),the Olympic Games and subsequent‘heat period’(2008–2013),the post-Olympic period(2014–2019),and the COVID-19(Corona Virus Disease 2019)pandemic period(2020–2021).The aim is to better understand the evolution and patterns of attraction networks at different scales in Beijing and to provide insights for tourism planning in the destination.The results show that the macro,meso-,and microscales network characteristics of attraction networks have inherent logical relationships that can explain the commonalities and differences in the development process of tourism networks.The macroscale attraction network degree Matthew effect is significant in the four different periods and exhibits a morphological monocentric structure,suggesting that new entrants are more likely to be associated with attractions that already have high value.The mesoscale links attractions according to the common purpose of tourists,and the results of the community segmentation of the attraction networks in the four different periods suggest that the functional polycentric structure describes their clustering effect,and the weak links between clusters result from attractions bound by incomplete information and distance,and the functional polycentric structure with a generally more efficient network of clusters.The pattern structure at the microscale reveals the topological transformation relationship of the regional collaboration pattern,and the attraction network structure in the four different periods has a very similar importance profile structure suggesting that the attraction network has the same construction rules and evolution mechanism,which aids in understanding the attraction network pattern at both macro and micro scales.Important approaches and practical implications for planners and managers are presented.

A Clean Connection

As companies look to reduce their carbon footprint,the green electricity market is growing by leaps and bounds in China By purchasing Green Electricity Certificates(GECs),the organisers of the seventh China International Import Expo(CIIE)have succeeded in making the once energy-intensive event more environmentally friendly.

Smart Connection

Digital services stand out at this year’s China International Fair for Trade in Services.Visitors gathered around a large screen displaying scenes from the video game Black Myth:Wukong,China’s first AAA title,where they learnt that the monkey king can move with lifelike fluidity,performing seamless actions,thanks to Virtual Motion’s state-of-the-art motion capture technology.

Cost Optimization of Steel Beam-to-Column Connections using AVOA

The joint-bolt-African Vulture optimization algorithm(AVOA)model is proposed for the design of building connections to improve the stability of steel beam-to-column connections.For this algorithm,the type of steel is first determined,and the number of bolts needed by the corresponding steel type is referenced in Eurocode 3.Then,the bearing capacity of the joint can be calculated.The joint-bolt-AVOA model is established by substituting the bolt number required by the steel into the algorithm to obtain the optimal bolt number required while ensuring joint stability.The results show that the number of bolts required by the joint-bolt-AVOA model based on the stability of steel is lower than that calculated by Eurocode 3.Therefore,AVOA can effectively optimize the number of bolts needed in building connections and save resources.

Image Denoising Using Dual Convolutional Neural Network with Skip Connection

In recent years, deep convolutional neural networks have shown superior performance in image denoising. However, deep network structures often come with a large number of model parameters, leading to high training costs and long inference times, limiting their practical application in denoising tasks. This paper proposes a new dual convolutional denoising network with skip connections(DECDNet), which achieves an ideal balance between denoising effect and network complexity. The proposed DECDNet consists of a noise estimation network, a multi-scale feature extraction network, a dual convolutional neural network, and dual attention mechanisms. The noise estimation network is used to estimate the noise level map, and the multi-scale feature extraction network is combined to improve the model's flexibility in obtaining image features. The dual convolutional neural network branch design includes convolution and dilated convolution interactive connections, with the lower branch consisting of dilated convolution layers, and both branches using skip connections. Experiments show that compared with other models, the proposed DECDNet achieves superior PSNR and SSIM values at all compared noise levels, especially at higher noise levels, showing robustness to images with higher noise levels. It also demonstrates better visual effects, maintaining a balance between denoising and detail preservation.

四硫富瓦烯分子结基于连接位点热-电输运性能理论调控研究

热电材料的研究对于再利用工业废热、生产清洁能源具有很大的意义.本文以锯齿状石墨烯纳米带(zGNR)做为电极,以不同连接位点的四硫富瓦烯(Tetrathiafulvalene,TTF)分子做为中心散射分子,构建了中心连接TTF分子结器件和边缘连接TTF分子结器件两种热电器件.采用密度泛函理论和非平衡格林函数方法研究了它们的热-电输运性质.结果表明,连接位点的不同对TTF分子器件热电性能具有显著影响.基于锯齿状石墨烯纳米带独特的边缘结构,导致边缘连接TTF分子结器件电输运性质高于中心连接分子结器件;与此同时,边缘悬挂氢键局域共振效应使得边缘连接TTF分子结热输运性能略小于中心连接TTF分子器件.边缘连接TTF分子结器件获取优异热电优值(ZT=0.457),为中心连接TTF分子结器件的3.4倍(ZT=0.135).

钢板混凝土墙-钢筋混凝土楼板连接节点抗剪性能

模块化技术正在推动新一代核电厂的设计和发展,兼具优良工作性能和工业化施工性能的钢板混凝土(SC)结构在模块化结构具有广泛应用前景。SC墙-RC楼板连接节点作为SC模块结构与RC结构之间的典型传力构件,其结构设计必须既要保证荷载的有效传递,又要考虑模块化施工的可行性。为研究SC墙-RC楼板连接节点抗剪性能,设计并完成了2个“薄墙厚板型”SC墙-RC楼板连接节点循环加载试验,包括GB/T 51340—2018建议的钢筋连接器连接、附加抗剪键等两种连接方式。试验结果表明:在剪跨比1.50下试件均发生RC楼板弯剪破坏,节点主要传力破坏路径为加载端至楼板根部的斜压杆区域,说明节点结合面不配置抗剪键仍满足抗剪要求;试验过程中,直螺纹钢筋套筒无滑脱、未发生钢筋或焊缝拉断,延性系数均大于4,说明钢筋连接器连接的传力性能良好,可作为SC墙-RC楼板连接节点的有效连接方式;该节点核心区仍属于抗剪薄弱区域,若要满足“全强度连接”设计准则,核心区对拉筋体积含钢率应不低于0.59%。

照片拷贝如此简单 品胜iPad相机连接套件 FISEN CAMEARTIK CONNECTION

创意与进化 1利用USB配件可以直接将数码相机中的照片导八，非常方便、快捷 2利用USB配件连接}Phorle，可将iPhone内的照片自动导入到iPad中 3可连接读卡器，可读取TF、CF卡 4可以外接U盘、移动硬盘5可连接其他USB配件（如USB风扇）

连接池数据库访问技术深入研究

分析了Java传统模式访问数据库存在的缺陷,阐述了连接池的概念以及工作机制,并设计实现了一个可供多用户并发访问的连接池。针对事务管理和多数据库服务进行了深入研究,并给出解决方案。根据试验结果分析了该技术与通过传统模式获得相同连接对象花费的时间对比情况,在国土资源管理项目中应用此技术,证明了该技术的合理性、高效性。

基于JDBC与设计模式的数据库连接池实现方法

目前Java数据库应用程序中存在着通过JDBC访问数据库时频繁创建、关闭Connection对象的做法。这种做法对并发访问量大的应用会带来较大的性能开销。针对这一问题,提出并实现了一个基于JDBC与设计模式相结合的数据库连接池实现方法,该方法从连接池对象和连接池管理者两个方面实现对Connection对象的管理,Connection对象使用完后不去关闭而是放回到连接池中以达到复用的目的,从而提高了Java数据库应用的效率。

JSP数据库连接池的设计

探讨了JSP数据库连接池的设计思想和实现方法,在连接池的调度管理下,连接池动态地保持一定量的,并且保持不大于一定使用次数的空闲连接,使Web访问数据库的性能达到最佳。

装配式钢结构梁柱连接节点研究进展

装配式建筑既是建筑现代设计理念、构件生产、现场管理革新的重要途径,也是推行组件化理念和智能化转型的重要举措。结合目前国内装配式钢结构梁柱连接节点研究情况,对可恢复式梁柱节点、方钢管柱-桁架梁、带悬臂梁节点、框架体系装配式节点形式的构造和力学性能进行阐述与总结。研究表明,装配式钢结构梁柱具有良好的承载力、延性和抗震性能,但是目前基于装配式节点构造及各参数的研究主要针对二维平面,一定程度上制约了其应用和发展,后续需对节点在火灾作用下的破坏及损伤时序、三维空间结构中楼板与梁柱节点的连接方式和考虑楼板后整体结构的复位机理与刚度变化历程进行进一步研究,为增加新材料、新工艺的应用,推广至实际工程提供理论依据。