基于Select多路复用的游戏服务端框架研究与实现

网络游戏包含客户端和服务端,服务端程序用于记录玩家数据,处理客户端发来的协议。基于Select多路复用的通用服务端框架,具有粘包半包处理、心跳机制、数据传输编码等功能,使用MySQL数据库存储玩家数据,是一套功能较为完备的C#通用服务端程序。

多路复用网络中的模体检测算法

多路复用网络可以形象地描述复杂系统中个体之间的相互作用关系,模体作为一种高阶结构在网络中频繁出现。与单层模体相比,多重模体具有数量多、种类繁、结构杂的特点。鉴于目前缺少针对多重模体的完整检测算法,提出一种适用于多路复用网络的快速多重模体检测算法(FAMMD)。首先,通过改进ESU(Enumerate SUbgraphs)算法进行多重子图枚举;其次,使用层标记和二进制字符串相结合的方法加速同构检测的过程,并且构造了保持度序列和层间依赖性不变的零模型进行多重子图测试;最后,在两层真实网络上进行了模体检测,多重模体表现出紧密相连的三联模式,且在社交网络中更加同质,在交通网络中则更加互补。实验结果表明,所提方法可以准确、快速地检测出反映网络结构特性和符合实际情况的多重模体。

HART多路复用器在辰竹HART智能仪表的应用

在石化、钢铁、电力、制药等行业中,经常会出现仪表安装位置特殊或安装环境恶劣等情况,导致仪表维护人员无法原地调试参数,加之装置仪表数量众多,逐个调试工作量巨大,严重影响生产效率。如何能实现仪表的远程调试将大幅减少仪表维护人员的工作量和提高生产效率?为了能有效解决这个问题,HART通信协议应运而生。

数字广播电视信号多路复用技术研究

深入探讨多路复用技术在数字广播电视信号传输中的应用及其优势与挑战。概述多路复用技术的基本原理及其在数字广播电视信号传输中的具体应用,详细分析多路复用技术存在的问题和挑战,提出相应的技术建议,旨在为广播电视行业的技术进步和信号传输优化提供理论支持和实践指导。

LoRa多路复用调制的研究与应用

为了解决LoRa调制中存在的数据传输速率受限、用户碰撞等问题,文章首先总结了LoRa调制的多路复用方式;其次根据LoRa调制的数学原理,从频分复用、时分复用、码分复用等方式中选择用额外的地址码区分多路信号;针对该复用方式,最终提出了直接实现的硬件结构。经验证,该方式可以提高数据速率并增强多址接入的兼容性。

基于SELECT理念腹腔镜下保留脾脏的胰体尾切除

腹腔镜下胰体尾切除术目前已经成为治疗胰腺体尾部肿瘤的标准术式。而腹腔镜下保留脾脏的胰体尾切除术由于可保留脾脏功能,减少脾切除术后并发症,越来越受到重视。然而,胰腺肿瘤发病隐匿、解剖位置复杂,这些对其诊断和保留脾脏的胰体尾切除术带来了挑战。近年来,我们团队积累了丰富的胰腺肿瘤诊疗经验,创新提出“SELECT”(S-Single-Operator Cholangiopancreatoscopy,E-ERCP,L-Laparoscopy,E-Endoscopic ultrasound,C-Choledochoscopy/Confocal laser endomicroscopy,T-Traditional Chinese medicine)多镜组合中西医微创诊治理念。根据胰腺肿瘤的类型及特点,应用多种内镜和腹腔镜技术,多种不同微创诊疗方法的优选组合,围手术期采用中医药,进行中西医结合加速康复。将SELECT理念充分应用于腹腔镜下保留脾脏的胰体尾切除术,有利于术前精准诊断、术中精准切除、术后并发症预判和治疗,一站式诊治胰腺肿瘤,使病人利益最大化。

汉译佛典中多音节同义复用形式的来源及最终双音化选择

汉语中多音节(三音节以上)同义复用形式的起源很早,在上古中土文献中就已出现,但比较罕见。而到了中古时期的汉译佛典中,此类现象却陡然增多。从精确表义(单音多义词,与一个具有同一义位的单音词并列复用,以突显其共同的义位)这一角度而论,超过两个音节的同义复用形式,均为“羡余”。那么此类现象汉译佛典中为何大量出现呢?其主要原因或与汉译佛典的文体形式(如汉译佛典从韵律而言正文多四字格,偈语大多为五字格、七字格)有关,有时为了形式整齐、凑足音节而复叠同义字词。其次要原因或与对佛经原典中固有的同义复用形式的直接翻译有关。从汉译佛典中多音节同义复用形式的组合来看,这些多音节同义复用形式大多数源自两个双音节的组合(四音节)或一个双音节与一个单音节(三音节)的组合(极少数为三个及以上单音节的组合)。不过随着时代的推移,汉语词的音节总体上逐渐由单音节向双音节发展,于是汉译佛典中的多音节同义复用形式也逐渐向双音节规范,然后融入中土文献。这中间就要在多音节同义复用形式中作出选择(三者择其二,或四者择其二),而这种选择往往也是有规律可循的。

Dealuminated Hβ zeolite for selective conversion of fructose to furfural and formic acid

The fructose-to-furfural transformation is facing major challenges in the selectivity and high efficiency. Herein, we have developed a simple and effective approach for the selective conversion of fructose to furfural using Hβ zeolite modified by organic acids for dealuminization to regulate its textural and acidic properties. It was found that citric acid-dealuminized Hβ zeolite possessed high specific surface areas, wide channels and high Brønsted acid amount, which facilitated the selective conversion of fructose to furfural with a maximum yield of 76.2% at433 K for 1 h in the γ-butyrolactone(GBL)-H_(2)O system, as well as the concomitant formation of 83.0% formic acid. The^(13)C-isotope labelling experiments and the mechanism revealed that the selective cleavage of C1–C2 or C5–C6 bond on fructose was firstly occurred to form pentose or C5 intermediate by weak Brønsted acid, which was then dehydrated to furfural by strong Brønsted acid. Also this dealuminized Hβ catalyst showed the great recycling performance and was active for the conversion of glucose and mannose.

Recent developments in selective laser processes for wearable devices

Recently,the increasing interest in wearable technology for personal healthcare and smart virtual/augmented reality applications has led to the development of facile fabrication methods.Lasers have long been used to develop original solutions to such challenging technological problems due to their remote,sterile,rapid,and site-selective processing of materials.In this review,recent developments in relevant laser processes are summarized under two separate categories.First,transformative approaches,such as for laser-induced graphene,are introduced.In addition to design optimization and the alteration of a native substrate,the latest advances under a transformative approach now enable more complex material compositions and multilayer device configurations through the simultaneous transformation of heterogeneous precursors,or the sequential addition of functional layers coupled with other electronic elements.In addition,the more conventional laser techniques,such as ablation,sintering,and synthesis,can still be used to enhance the functionality of an entire system through the expansion of applicable materials and the adoption of new mechanisms.Later,various wearable device components developed through the corresponding laser processes are discussed,with an emphasis on chemical/physical sensors and energy devices.In addition,special attention is given to applications that use multiple laser sources or processes,which lay the foundation for the all-laser fabrication of wearable devices.

基于信息素算法的物联网传输流多路复用方法

针对物联网传输流多路复用性差、路由开销和平均时延均较高的问题,提出一种基于信息素算法的物联网传输流多路复用方法,该方法先通过分析物联网现状与需求,确定多路复用的必要性;然后以一次网络通信任务为基础,概述物联网传输流多路复用的基本思路;最后在解决多路复用存在的单路径问题基础上,利用信息素算法构建针对物联网传输流的多路复用模型,根据模型输出结果,实现物联网传输流多路复用.实验结果表明,该方法的复用结果包含了多路信号,信号未缺失,并且路由开销仅为3×10^(4)Mb,平均时延仅为15 ms.

Interplay of laser power and pore characteristics in selective laser melting of ZK60 magnesium alloys:A study based on in-situ monitoring and image analysis

This study offers significant insights into the multi-physics phenomena of the SLM process and the subsequent porosity characteristics of ZK60 Magnesium(Mg)alloys.High-speed in-situ monitoring was employed to visualise process signals in real-time,elucidating the dynamics of melt pools and vapour plumes under varying laser power conditions specifically between 40 W and 60 W.Detailed morphological analysis was performed using Scanning-Electron Microscopy(SEM),demonstrating a critical correlation between laser power and pore formation.Lower laser power led to increased pore coverage,whereas a denser structure was observed at higher laser power.This laser power influence on porosity was further confirmed via Optical Microscopy(OM)conducted on both top and cross-sectional surfaces of the samples.An increase in laser power resulted in a decrease in pore coverage and pore size,potentially leading to a denser printed part of Mg alloy.X-ray Computed Tomography(XCT)augmented these findings by providing a 3D volumetric representation of the sample internal structure,revealing an inverse relationship between laser power and overall pore volume.Lower laser power appeared to favour the formation of interconnected pores,while a reduction in interconnected pores and an increase in isolated pores were observed at higher power.The interplay between melt pool size,vapour plume effects,and laser power was found to significantly influence the resulting porosity,indicating a need for effective management of these factors to optimise the SLM process of Mg alloys.

Selective internal radiation therapy segmentectomy:A new minimally invasive curative option for primary liver malignancies?

Transarterial radioembolization or selective internal radiation therapy(SIRT)has emerged as a minimally invasive approach for the treatment of tumors.This percutaneous technique involves the local,intra-arterial delivery of radioactive microspheres directly into the tumor.Historically employed as a palliative measure for liver malignancies,SIRT has gained traction over the past decade as a potential curative option,mirroring the increasing role of radiation segmentectomy.The latest update of the BCLC hepatocellular carcinoma guidelines recognizes SIRT as an effective treatment modality comparable to other local ablative methods,particularly well-suited for patients where surgical resection or ablation is not feasible.Radiation segmentectomy is a more selective approach,aiming to deliver high-dose radiation to one to three specific hepatic segments,while minimizing damage to surrounding healthy tissue.Future research efforts in radiation segmentectomy should prioritize optimizing radiation dosimetry and refining the technique for super-selective administration of radiospheres within the designated hepatic segments.

数据中台局域多路复用信息可信传输方法

复用信息的传输信道受到攻击时,整体传输效率降低,对此,设计一种基于云计算的数据中台局域多路复用信息可信传输方法。在云环境下建立数据中台局域多路复用数据的传输模型,确立通信双方路径选择原则;利用云计算进行数据传输对称加密,详细设计密钥的选择、加密和解密过程,优化数据传输过程中的多路资源分配;根据节点数据分配不同信道下的数据量,优化传输效率。算例分析结果表明,在多次测试下,设计的可信传输方法未出现传输失败情况,且上传、下载速率均优于传统方法,验证了设计方法的有效性。

时分复用双光子成像系统高速数据处理研究

为满足高频脉冲时分复用的双独立扫描探测双光子显微成像系统中信号解多路复用、行场同步、像素值重建的需求,对高速数据的采集处理进行了研究;基于LabVIEW FPGA,结合有限状态机、FIFO缓存和并行流水线等技术,设计了一种多功能采集处理系统,通过精确的时序控制,成功实现了高速数据的无损解复用和后续成像数据处理,并能够对共振振镜非线性运动导致的图像畸变进行校正;经过调试仿真和实验测试表明,在系统单通道采样率800 MSPS、200 MHz FPGA处理时钟下,能够对160 MHz时间交错激光脉冲产生的来自不同位置的相应荧光信号进行复杂处理;经实际应用表明,系统满足实时成像的需求,为相关领域的研究者提供了有益的参考。

虚拟机CAN口多路复用中间层技术研究

在边缘计算领域,串行通信协议CAN应该十分广泛,为计算主机与数据采集终端之间的数据交互提供稳定、可靠的传输保障。随着虚拟化云技术的引入,CAN终端设备发展的多样化、多领域化,这就导致同一计算主机(宿主机)上多客户机(虚拟机)对数量有限的CAN设备需求的矛盾。从硬件角度来说,增加计算主机物理CAN口数量势必带来的成本增加;从设备虚拟化角度来说,从头完整的实现软的虚拟化设备难度较大,且CAN设备繁多,逐一实现既费时又耗力。为了解决这一问题,对虚拟机CAN口多路复用中间层技术进行了研究。通过增加CAN口数据转发模块,即通过在各虚拟机内添加虚拟CAN口数据功能模块作为客户端,在计算主机(宿主机)添加CAN口数据功能模块作为服务端,客户端截获CAN设备驱动上的数据并处理后发往服务端,服务端与具体的物理CAN设备打交道。客户端与服务端是多对一的关系,即可实现将一个物理CAN口设备虚拟成多个的效果。

Strategies of selective electroreduction of aqueous nitrate to N_(2) in chloride-free system:A critical review

Electroreduction of nitrate has been gaining wide attention in recent years owing to it's beneficial for converting nitrate into benign N_(2) from the perspective of electrocatalytic denitrification or into value-added ammonia from the perspective of electrocatalytic NH_(3) synthesis.By reason of the undesired formation of ammonia is dominant during electroreduction of nitrate-containing wastewater,chloride has been widely used to improve N_(2) selectivity.Nevertheless,selective electroreduction of nitrate to N2 gas in chloride-containing system poses several drawbacks.In this review,we focus on the key strategies for efficiently enhancing N_(2) selectivity of electroreduction of nitrate in chloride-free system,including optimal selection of elements,combining an active metal catalyst with another metal,manipulating the crystalline morphology and facet orientation,constructing core–shell structure catalysts,etc.Before summarizing the strategies,four possible reaction pathways of electro-reduction of nitrate to N_(2) are discussed.Overall,this review attempts to provide practical strategies for enhancing N2 selectivity without the aid of electrochlorination and highlight directions for future research for designing appropriate electrocatalyst for final electrocatalytic denitrifi-cation.

Cell-type resolved transcriptomic approaches for dissecting selective vulnerability in neurodgeneration

A common feature among neurodegenerative conditions is that ce rtain neuronal populations are selectively vulnerable to loss(Fu et al.,2018).By corollary,other neurons are selectively resilient,suggesting they may possess unique features that support their survival.U nderstanding the basis of neuronal resilience or vulnerability would provide a logical strategy to identify factors that could be targeted therapeutically.

Advances in selective conversion of carbohydrates into 5-hydroxymethylfurfural

Converting carbohydrates into 5-hydroxymethylfurfural(5-HMF) is an attractive and promising route for value-added utilization of agricultural and forestry biomass resource. As an important platform compound, 5-HMF possesses high active furan structure with hydroxymethyl and aldehyde group for production of various bio-chemicals and materials, meanwhile, which suffer from low stability and poor yield during the industrial biorefinery process. Hence, selective production of 5-HMF with high-yield and low-cost has attracted extensive attention from scientific and industrial researchers. This review sorted and described the latest advanced research on solvent and catalyst system, as well as energy field effect for production of 5-HMF with different feedstock in detail, emphatically discussing the solvent effect and its synergistic effect with other aspects. Besides, the future prospects and challenges for production of 5-HMF from carbohydrates were also presented, which provide a profound insight into industrial 5-HMF process with economic and environmental feature.

A Portfolio Selection Method Based on Pattern Matching with Dual Information of Direction and Distance

Pattern matching method is one of the classic classifications of existing online portfolio selection strategies. This article aims to study the key aspects of this method—measurement of similarity and selection of similarity sets, and proposes a Portfolio Selection Method based on Pattern Matching with Dual Information of Direction and Distance (PMDI). By studying different combination methods of indicators such as Euclidean distance, Chebyshev distance, and correlation coefficient, important information such as direction and distance in stock historical price information is extracted, thereby filtering out the similarity set required for pattern matching based investment portfolio selection algorithms. A large number of experiments conducted on two datasets of real stock markets have shown that PMDI outperforms other algorithms in balancing income and risk. Therefore, it is suitable for the financial environment in the real world.

Pareto Optimization as the Basic for Selecting Robotic Mechanic Assembly Technologies

The task of selecting robotic mechanic assembly technologies (RMAT) is considered as a multi-criteria optimization task, which in this formulation is solved on the set of previously obtained solutions regarding the selection of RMAT. The purpose of the paper is to increase the efficiency of technological preparation of robotic mechanical assembly production of machine and instrument engineering due to a new approach to the selection of RMAT using Pareto optimization and the peculiarities of the selection task formulation. The novelty consists in the further development of a science-based approach to solving multi-criteria selection task, based on the first proposed formalisms of the specified process, which reflect the peculiarities of the selection task formulation, its meaningful essence and the content of the Pareto optimization method. The practical value of the research lies in the proposed engineering-acceptable approach to solving applied multi-criteria selection tasks on the example of RMAT selection, which is invariant to the statement of the selection task, the dimension of the task, and its meaningful essence. The methods of discrete optimization, fuzzy multi-criteria selection of alternatives, and the Pareto optimization method were used for the research. The main results of this work consist of the development of formalisms and the demonstration of the efficiency of the proposed approach for the applied task of RMAT selection. The peculiarity of the developed approach is the combination of Pareto optimization, performed on a discrete set of local criteria. Directions for further research are presented.