Modeling TCP Incast Issue in Data Center Networks and an Adaptive Application-Layer Solution

In data centers, the transmission control protocol(TCP) incast causes catastrophic goodput degradation to applications with a many-to-one traffic pattern. In this paper, we intend to tame incast at the receiver-side application. Towards this goal, we first develop an analytical model that formulates the incast probability as a function of connection variables and network environment settings. We combine the model with the optimization theory and derive some insights into minimizing the incast probability through tuning connection variables related to applications. Then,enlightened by the analytical results, we propose an adaptive application-layer solution to the TCP incast.The solution equally allocates advertised windows to concurrent connections, and dynamically adapts the number of concurrent connections to the varying conditions. Simulation results show that our solution consistently eludes incast and achieves high goodput in various scenarios including the ones with multiple bottleneck links and background TCP traffic.

Discussion on the Application of Complex Power Network to Software Engineering

Along with the further development of science and technology, computer hardware and the Intemet are in a rapid development, and information technology has been widely used in all fields so that complex problems are simply solved. Because of the needs for the development, software starts to mutually integrate with complex power network, making the scale of software increase greatly. Such a growing trend of software promotes soft-ware development to go beyond a general understanding and control and thus a complex system is formed. It is necessary to strengthen the research of complex network theory, and this is a new way to help people study the complexity of software systems. In this paper, the development course of complex dynamic network is introduced simply and the use of complex power network in the software engineering is summarized. Hopefully, this paper can help the crossover study of complex power network and software engineering in the future.

Application reliability for communication networks and its analysis method

The network reliability is difficult to be evaluated because of the complex relationship among the network components.It can be quite different for different users running different applications on the same network.This paper proposes a new concept and a model of application reliability.Different from the existing models that ignores the effects of applications,the proposed application reliability model considers the effects of different applications on the network performance and different types of network faults and makes the analysis of network components relationship possible.This paper also provides a method to evaluate the application reliability when the data flow satisfies Markov properties.Finally,a case study is presented to illustrate the proposed network reliability model and the analysis method.

Analyzing the causation of a railway accident based on a complex network

In this paper, a new model is constructed for the causation analysis of railway accident based on the complex network theory. In the model, the nodes are defined as various manifest or latent accident causal factors. By employing the complex network theory, especially its statistical indicators, the railway accident as well as its key causations can be analyzed from the overall perspective. As a case, the ＂7.23＂ China-Yongwen railway accident is illustrated based on this model. The results show that the inspection of signals and the checking of line conditions before trains run played an important role in this railway accident. In conclusion, the constructed model gives a theoretical clue for railway accident prediction and, hence, greatly reduces the occurrence of railway accidents.

IOT technology application model research of transportation industry in China

The paper studied the connection between internet of things （lOT） technology and transportation industry. Meanwhile, the definition of IOT in transportation was given. Concerning that many problems occurred during the process of traditional intelligent transportation system, the paper proposed a promising model of lOT in transportation. The advantage of the information utilization model from information to function was confirmed through comparative study. Finally, the model presented that a real interconnection of transportation would be achieved based on the unified information collection. It can greatly save cost on technology transfer, exploit potential value of information, and promote the emergence of a sustainable information service market and the industrial upgrade.

苏里格气田采气集气工艺及管网模拟研究现状

苏里格气田作为我国内陆最大的整装气田,随着天然气不断开采,地层压力逐渐降低,采气工艺技术的革新与集气管网布局的优化成为延续气田生产寿命的核心问题。该气田通过井下节流工艺有效利用地温热能解决了水合物堵塞问题;新型锁芯式井下节流器一次打捞成功率在90%以上;布井方案采用单井串接工艺,缩短了采气管线长度;减少运行管理费用投入,使建设投资额降低约48.8%。梳理了近年来管网模型研究的发展动态,指出不同方法的优缺点,并以苏里格气田采气量增加30%的背景下,展示了骨架管网水力计算模型的建立过程和模拟软件算法流程,利用TGNET软件模拟管网压降幅度,从而有效抑制水合物生成并避免经济损失。针对集输管网适用性评价进行讨论,指出了生产工况变化对管网运行效率的影响,以及建立水力计算模型对于预测和避免潜在风险的必要性。

AI-Powered Innovations in High-Tech Research and Development: From Theory to Practice

This comparative review explores the dynamic and evolving landscape of artificial intelligence(AI)-powered innovations within high-tech research and development(R&D).It delves into both theoreticalmodels and practical applications across a broad range of industries,including biotechnology,automotive,aerospace,and telecom-munications.By examining critical advancements in AI algorithms,machine learning,deep learning models,simulations,and predictive analytics,the review underscores the transformative role AI has played in advancing theoretical research and shaping cutting-edge technologies.The review integrates both qualitative and quantitative data derived from academic studies,industry reports,and real-world case studies to showcase the tangible impacts of AI on product innovation,process optimization,and strategic decision-making.Notably,it discusses the challenges of integrating AI within complex industrial systems,such as ethical concerns,technical limitations,and the need for regulatory oversight.The findings reveal a mixed landscape where AI has significantly accelerated R&D processes,reduced costs,and enabled more precise simulations and predictions,but also highlighted gaps in knowledge transfer,skills adaptation,and cross-industry standardization.By bridging the gap between AI theory and practice,the review offers insights into the effectiveness,successes,and obstacles faced by organizations as they implement AI-driven solutions.Concluding with a forward-looking perspective,the review identifies emerging trends,future challenges,and promising opportunities inAI-poweredR&D,such as the rise of autonomous systems,AI-driven drug discovery,and sustainable energy solutions.It offers a holistic understanding of how AI is shaping the future of technological innovation and provides actionable insights for researchers,engineers,and policymakers involved in high-tech Research and Development(R&D).

移动通信网络中的大模型研究与应用

在移动通信网络规模不断扩大和数据量不断增加的背景下,大模型可以更好地预测移动通信网络中不同类型的风险,提高移动通信网络的风险防范能力,降低移动通信网络的风险,使移动通信网络在较长时间内保持稳定的状态。文中对移动通信网络中的大模型研究与应用进行了分析。

麦克风集群网络模型及其障碍物识别中的应用

基于声学基本原理和抽象空间的网络结构方法,开发了一种创新的障碍物检测系统,其结构包括硬件终端、多声路网络模型和分类器。硬件终端由立体式分布的麦克风节点、数据采集卡和工控机组成。多声路网络模型能够基于多路声波信号建立网络结构,并提取和计算多路声波复杂信号中的有效信息。分类器采用主成分分析方法(Principal Component Analysis,PCA)对提取的有效信息进行降维处理,再采用监督学习方法实现对环境的分类和识别。该系统的开发不仅为汽车自动驾驶、机器人导航和无人机等领域提供了重要的技术支持,而且为智能导航和自动化领域的技术发展提供了新的可能性。未来的工作将进一步优化系统性能,提高其应用的广泛性和经济效益。

基于智能网络与通信技术的经侦调查系统设计与优化

阐述智能网络与计算在通信技术支持下的调查应用系统设计与优化,探讨系统需求分析和架构设计,数据采集处理和存储,以及智能网络与计算的应用,优化算法和模型,增强系统的性能。

县域供水管网水力模型建设与应用实践

与大中城市相比,县域城镇供水管网具有独特的地形特征、管网覆盖密度等特点。以安吉县供水管网为例,总结近年来水力模型在降本增效、动态评估、联合调度等场景中的建设与应用实践,为其他县域城镇供水管网水力模型应用提供参考。

基于大数据分析的网络安全威胁检测与防范研究

本文探讨了基于大数据分析的网络安全威胁检测与防范方法,通过分析基于大数据分析的信息安全技术的原理和优缺点,阐述网络安全威胁检测与防范的关键技术,提出利用大数据分析技术提升网络安全威胁检测和防范能力的策略,从数据采集与处理、特征提取与选取、模型构建与培训、威胁探测与预防4个方面,对大数据环境下的网络安全威胁进行了研究,总结了基于大数据分析的网络安全威胁检测与防范的有效手段。本研究旨在为网络安全管理提供更加高效、智能的解决方案,应对不断演变的网络威胁。

基于多场景下的复杂供应链网络建模优化设计——以GF制衣公司为例

针对制衣企业复杂供应链网络设施布局与决策问题,设计满足多场景下的供应链网络基线模型并验证分析。首先,进行模型设计,定义实体元素(如工厂、配送中心)和行为元素(如客户订单、运输规则等);其次,导入建模需要的各种数据表,并映射到模型中,运行Supply ChainGuru软件得到实际基线模型;最后,对构建的各种场景下的网络模型进行验证分析,从而给出网络设施布局的对策。

基于语义知识图谱的网络舆情案例库建模研究

对突发网络舆情案例进行智能存储、分类,并深入分析其发酵的原因,在回应、引导和处置层面采取针对性措施,从而有效提升决策的科学性和效率。基于语义知识图谱,先研究语义案例形式化表达、特征抽取方法和检索系统构建方法,再建立决策认知机制计算模型,进而建立本体模型和舆情处置语义案例库,构建语义表示模型,最后提取和优化应急领域信息流程。同时,通过表示和索引本体关联树,建立网络舆情案例库。突发网络舆情事件发生后,快速推荐相关案例,根据语义知识图谱,对事件进行分类、分级,结合预案,自动生成回应稿。

Research and application of artificial intelligence service platform for the power field

Conventional analysis methods cannot fully meet the business needs of power grids.At present,several artificial intelligence (AI) projects in a single business field are competing with each other,and the interfaces between the systems lack unified specifications.Therefore,it is imperative to establish a comprehensive service platform.In this paper,an AI platform framework for power fields is proposed;it adopts the deep learning technology to support natural language processing and computer vision services.On one hand,it can provide an algorithm,a model,and service support for power-enterprise applications,and on the other hand,it can provide a large number of heterogeneous data processing,algorithm libraries,intelligent services,model managements,typical application scenarios,and other services for different levels of business personnel.The establishment of the platform framework could break data barrier,improve portability of technology,avoid the investment waste caused by repeated constructions,and lay the foundation for the construction of "platform + application + service" ecological chain.

Automatic testing system design and data analysis of permafrost temperature in Qinghai-Tibet Railway

Aimed at the characteristics of permafrost temperature influencing the safety of Qinghai-Tibet Railway and its on-line testing system, comparing the achievement of permafrost study nationwide with those worldwide, an automatic testing system of permafrost temperature, containing a master computer and some slave computers, was designed. By choosing high-precise thermistors as temperature sensor, designing and positioning the depth and interval of testing sections, testing, keeping and sending permafrost temperature data at time over slave computers, and receiving, processing and analyzing the data of collecting permafrost temperature over master computer, the change of the permafrost temperature can be described and analyzed, which can provide information for permafrost railway engineering design. Moreover, by taking permafrost temperature testing in a certain section of Qinghai-Tibet Railway as an instance, the collected data of permafrost temperature were analyzed, and the effect of permafrost behavior was depicted under the railway, as well as, a BP model was set up to predict the permafrost characteristics. This testing system will provide information timely about the change of the permafrost to support the safety operation in Qinghai-Tibet Railway.

Epoch-based Application Collaboration for Sensing Data Analysis

The application collaboration was addressed to provide energy-efficient data services for distributed sensing applications to collaboratively interacting to achieve a desired global objective not detectable by any single cluster. An epoch-based transaction model was proposed by using the concept of sphere of control （SoC）, and a collaborative sensing application can be dynamically formed as a nested architecture composed of time-synchronized applications. By loosening the rigid constraints of ACID to adapt the requirements of sensor networks, the submission, rollback and consistency rules ware educed and a two-phrase submission protocol was designed. Finally, it was illustrated that the model is capable of providing an adaptive formal template for sensing application collaboration. Our performance evaluations show that by applying the two-phrase submission protocol, we can significantly improve the number of reported answers and response time, raise resource utilization, and reduce the energy cansumption and data loss.

Customized Share Level Monitoring System for Users in OSN-Third Party Applications

Preserving privacy of the user is a very critical requirement to be metwith all the international laws like GDPR, California privacy protection act andmany other bills in place. On the other hand, Online Social Networks (OSN)has a wide spread recognition among the users, as a means of virtual communication. OSN may also acts as an identity provider for both internal and externalapplications. While it provides a simplified identification and authentication function to users across multiple applications, it also opens the users to a new spectrum of privacy threats. The privacy breaches costs to the users as well as tothe OSN. Despite paying millions of dollars as fine every year, the OSN hasnot done any significant changes, as data is the fuel and what it loses as fine isfar less compared to the money OSN makes out of the shared data. In this work,we have discussed a wide range of possible privacy threats and solutions prevailing in OSN-Third Party Application (TPA) data sharing scenario. Our solutionmodels the behavior of the user, as well as TPA and pinpoints the avenues of oversharing to the users, thereby limiting the privacy loss of the user.

The Application of China's High Speed Railway Earthquake Early Warning System in Jakarta-Bandung HSR

Earthquake has a significant impact on operation safety of the high speed railway,and for Jakarta-Bandung High Speed Railway(HSR)in Indonesia where it is earthquake-prone,it is necessary to establish an earthquake early warning system to strengthen its earthquake resistance.Based on the principle and technical characteristics of China's high speed railway earthquake early warning system and combining the actual situations of Jakarta-Bandung HSR in Indonesia,this paper describes how to implement China's high speed railway earthquake early warning system in Jakarta-Bandung HSR.It focuses on optimizations in environmental adaptation design and seismic network interface design,earthquake attenuation model parameter adjustment and terminal software interface adjustment,so as to make the system better suit the local situations,and meet operation requirements and guarantee safe operation of Jakarta-Bandung HSR.

基于径向基函数神经网络的空间漂浮机械臂装配控制

针对空间漂浮机械臂在轨装配中动力学模型失准、待装配模块质量特性未知情况下的精确控制问题,本文提出了一种基于径向基函数神经网络补偿控制的装配方法。给出空间漂浮装配机械臂的构型设计及动力学模型描述,设计了一种基于径向基函数神经网络原理的补偿控制率,进行了稳定性与收敛性分析,推导出基于径向基函数神经网络神经网络的空间漂浮基座机械臂装配控制自适应律。不同工况下的在轨装配仿真案例表明:基于径向基函数神经网络原理补偿的控制方法能够控制机械臂末端执行器在未知特性大负载作用下快速准确地跟踪期望轨迹,而不进行补偿时控制器性能下降严重、甚至失效。所提出装配控制方法具有较强的工程实用价值,能为未来空间装配任务提供有效借鉴。