Research on the Audio Publishing of Classical Books Based on the Theory of Business Model Canvas: Taking Romance of the Three Kingdoms in Digital Audio Platforms as an Example

Visual media have dominated sensory communications for decades,and the resulting“visual hegemony”leads to the call for the“auditory return”in order to achieve a holistic balance in cultural acceptance.Romance of the Three Kingdoms,a classic literary work in China,has received significant attention and promotion from leading audio platforms.However,the commercialization of digital audio publishing faces unprecedented challenges due to the mismatch between the dissemination of long-form content on digital audio platforms and the current trend of short and fast information reception.Drawing on the Business Model Canvas Theory and taking Romance of the Three Kingdoms as the main focus of analysis,this paper argues that the construction of a business model for the audio publishing of classical books should start from three aspects:the user evaluation of digital audio platforms,the establishment of value propositions based on the“creative transformation and innovative development”principle,and the improvement of the audio publishing infrastructure to ensure the healthy operation and development of the digital audio platforms and consequently improve their current state of development and expand the boundaries of cultural heritage.

Research of Publish and Subscribe Model Based on WS-Notification

WS-Notification bundle of standards, WS-BaseNotification, WS-Topics, and WS-BrokeredNotification, can be used as a general purpose publish/subscribe interface for Service Oriented Architectures. We provide an overview of the WS-Notification specification and describe a modified publish and subscribe model based on WS-Notification. The model is an adaptive policy-driven notification framework that can help enterprises to meet the flexibility and respon-siveness requirements of the enterprise. With the modified publish/subscribe model, information consumers can dy-namically and declaratively create and configure entities on their behalves to manage their distribution requirements.

Publish-Subscribe系统支付机制研究

已有的 pub- sub系统支付机制尚有许多缺陷 ,无法满足实际需求 .设计了一套新的基于可信任硬件 (安全协处理器、智能卡 )的支付机制 .这套机制具有良好的保密性、匿名性、高效性和公平性 ,而且实现了时间敏感信息的公平交易 .并对基于内容的 pub- sub系统支付问题给出了完整、有效和实用的解决方案 .

Load-balancing data distribution in publish/subscribe mode

To improve data distribution efficiency a load-balancing data distribution LBDD method is proposed in publish/subscribe mode.In the LBDD method subscribers are involved in distribution tasks and data transfers while receiving data themselves.A dissemination tree is constructed among the subscribers based on MD5 where the publisher acts as the root. The proposed method provides bucket construction target selection and path updates furthermore the property of one-way dissemination is proven.That the average out-going degree of a node is 2 is guaranteed with the proposed LBDD.The experiments on data distribution delay data distribution rate and load distribution are conducted. Experimental results show that the LBDD method aids in shaping the task load between the publisher and subscribers and outperforms the point-to-point approach.

An SDN-Based Publish/Subscribe-Enabled Communication Platform for IoT Services

Publish/subscribe paradigm paves a way to integrate and serve many scalable, inter-operable Internet of Things(IoT) applications. The increasing IoT applications require new properties of publish/subscribe communication model, for example, strict quality of service(Qo S) guarantees, supporting a large number of widely distributed devices, etc. Software Defined Networking(SDN) enables personalized programming and individualized QoS supports for different applications. The combination of the two will have a good prospect. In this paper, we present an IoT-oriented communication platform which combines the publish/subscribe paradigm with SDN, aiming at establishing an IoT ecosystem to facilitate IoT services/applications accessing internet. We design the interaction logic of topic-based publish/subscribe middleware, and describe the setup and maintenance of topology information as well as event routing in detail, considering the characteristics of SDN. Finally, we exemplify its practicability with a deployed District Heating Control and Information Service System(DHCISS) and validity the effectiveness with some experiments.

Cross-Layer QoS Enabled SDN-Like Publish/Subscribe Communication Infrastructure for IoT

Publish/subscribe paradigm is often adopted to create the communication infrastructure of the Internet of Things(IoT)for many clients to access enormous real-time sensor data.However,most current publish/subscribe middlewares are based on traditional ossified IP networks,which are difficult to enable Quality of Service(QoS).How to design the next generation publish/subscribe middleware has become an urgent problem.The emerging Software Defined Networking(SDN)provides new opportunities to improve the QoS of publish/subscribe facilities for delivering events in IoT owing to its customized programmability and centralized control.We can encode event topics,priorities and security policies into flow entries of SDN-enabled switches to satisfy personalized QoS needs.In this paper,we propose a cross-layer QoS enabled SDN-like publish/subscribe communication infrastructure,aiming at building an IoT platform to seamlessly connect IoT services with SDN networks and improving the QoS of delivering events.We first present an SDN-like topic-oriented publish/subscribe middleware architecture with a cross-layer QoS control framework.Then we discuss prototype implementation,including topic management,topology maintenance,event routing and policy management.In the end,we use differentiated services and cross-layer access control as cross-layer QoS scenarios to verify the prototype.Experimental results show that our middleware is effective.

User Churn Prediction Hierarchical Model Based on Graph Attention Convolutional Neural Networks

The telecommunications industry is becoming increasingly aware of potential subscriber churn as a result of the growing popularity of smartphones in the mobile Internet era,the quick development of telecommunications services,the implementation of the number portability policy,and the intensifying competition among operators.At the same time,users'consumption preferences and choices are evolving.Excellent churn prediction models must be created in order to accurately predict the churn tendency,since keeping existing customers is far less expensive than acquiring new ones.But conventional or learning-based algorithms can only go so far into a single subscriber's data;they cannot take into consideration changes in a subscriber's subscription and ignore the coupling and correlation between various features.Additionally,the current churn prediction models have a high computational burden,a fuzzy weight distribution,and significant resource economic costs.The prediction algorithms involving network models currently in use primarily take into account the private information shared between users with text and pictures,ignoring the reference value supplied by other users with the same package.This work suggests a user churn prediction model based on Graph Attention Convolutional Neural Network(GAT-CNN)to address the aforementioned issues.The main contributions of this paper are as follows:Firstly,we present a three-tiered hierarchical cloud-edge cooperative framework that increases the volume of user feature input by means of two aggregations at the device,edge,and cloud layers.Second,we extend the use of users'own data by introducing self-attention and graph convolution models to track the relative changes of both users and packages simultaneously.Lastly,we build an integrated offline-online system for churn prediction based on the strengths of the two models,and we experimentally validate the efficacy of cloudside collaborative training and inference.In summary,the churn prediction model based on Graph Attention Convolutional Neural Network presented in this paper can effectively address the drawbacks of conventional algorithms and offer telecom operators crucial decision support in developing subscriber retention strategies and cutting operational expenses.

Providing Delay-Guaranteed Multicast Transmission Services for an SDN-Based Publish/Subscribe System

Providing end-to-end delay guarantees in traditional Internet is a complex task due to the distributed nature of TCP/IP protocols. Software Defined Networking(SDN) gives a new dimension to improve QoS(Quality of Service) as it can benefit from its flexibility, programmability and centralized view. In this paper, we provide delay-guaranteed data transmission service instead of "best efforts" service for a topic-based publish/subscribe system by means of exploring these specific features of SDN. We attribute this routing problem in such conditions to Delay-Constraint Lowest Cost Steiner Tree(DCLCST) problem. To solve it, we compute the shortest delay paths from source node to every subscribe node and the shortest cost paths from every subscribe node to any other node using dijkstra algorithm. Then we construct a delay-constraint least cost steiner tree for per-topic based on these paths as multicast tree. We also present experimental results to demonstrate the effectiveness of the algorithms and methods we proposed.

Embedding Authentication &Authorization in Discovery Protocols for Standard Based Publish/Subscribe Middleware: A Performance Evaluation

Standard based Pub/Sub middleware, such as OMG Data Distribution Service (DDS), could assume a key role in supporting computer communications requiring continuous state information updating, deterministic deadline to data delivering and real time information adjourning. This kind of capability could be well ex-ploited by Peer-To-Peer (P2P) systems, Internet-wide as long as private ones, like in Public Safety or Civil Protection Communication Systems;but Pub/Sub specifications, and DDS/RTPS (Real Time Publish Sub-scribe) as well, usually do not provide Authentication & Authorization (AA) mechanisms. In the present work two important novelties are assessed: a possible scheme to implement AA in DDS/RTPS networks and a time performance evaluation study about embedded Authentication in RTPS.

A Real-Time-Enabled, Blackboard-Based, Publish/Subscribe Architecture for Wireless Sensor Nodes

Wireless sensor network nodes have only limited resources concerning memory and battery life-time. Mem- ory can be efficiently used by sharing data, and the life-time of a battery can be extended, when the node has long power saving sleep-phases. We propose a publish/subscribe architecture that achieves these two aims. The results of our work are of great interest for sensor application developers, giving them now the opportu- nity to use our architecture for sharing data among different applications on the node as well as the different layers of the operating system. We introduce a blackboard which is used for centrally storing published val- ues, like measured data from a monitored sensor. This makes it possible to share stored data without monitoring the sensors once again, which is advantageously concerning power consumption, memory space, and reaction time. Beside the proposed publish/subscribe method for sensor nodes with its notification possibili- ties, our architecture fulfills also real-time requirements. We show how the well-known sensor operating system MANTIS OS can be extended by a real-time enabled, blackboard-based publish/subscribe architect- ture. This architecture and first of all its implementation is of special interest for cross layer optimization of sensor applications. Cross-layer approaches benefit from our architecture because the available implementa- tion can be used as an efficient framework for central storing and managing of shared values.

Connected-Vehicle Data Exchanges and Positioning Computing Based on the Publish-Subscribe Paradigm

Connected vehicles for safety and traffic efficient applications require device-to-device connections supporting one-to-many and many-to-many communication, precise absolute and relative positioning and distributed computing. Currently, the 5.9 GHz Dedicated Short Range Communications (DSRC) and 4G-Long-Term Evolution (LTE) are available for connected vehicle services. But both have limitations in reliability or latency over large scale field operational tests and deployment. This paper proposes the device-to-device (D2D) connectivity framework based on publish-subscribe architecture, with Message Queue Telemetry Transport (MQTT) protocol. With the publish-subscribe communication paradigm, road mobile users can exchange data and information in moderate latency and high reliability manner, having the potential to support many Vehicle to Everything (V2X) applications, including vehicle to vehicle (V2V), vehicle to roadside infrastructure (V2I), and vehicle to bicycle (V2B). The D2D data exchanges also facilitate computing for absolute and relative precise real-time kinematic (RTK) posi-tioning. Vehicular experiments were conducted to evaluate the performance of the proposed publish-subscribe MQTT protocols in term of latency and reliability. The latency of data exchanges is measured by One-trip-time (OTT) and the reliability is measured by the packet loss rate (PLR). Our results show that the latency of GNSS raw data exchanges between vehicles through 4G cellular networks at the rate of 10 Hz and the data rates of 10 kbps are less than 300 ms while the reliability is over 96%. Vehicular positioning experiments have also shown that vehicles can exchange raw GNSS data and complete mov-ing-base RTK positioning with the positioning availability of 98%.

生成式人工智能大模型赋能传统出版企业转型升级路径研究——基于扎根理论的质性研究

基于质性研究方法,通过扎根理论提炼归纳出“智能内容生成提质优化、产业生产效率提速升级、个性定制内容交付传播、融合发布渠道策略制定、商业市场数据分析洞察、新型商业模式开发创新、组织架构流程变革重组、品牌核心价值维护创造、法律法规伦理风险考量”九大主范畴和“传统出版企业转型升级”一大核心范畴。在对主范畴与核心范畴的典型关系结构以及范畴间逻辑关系分析的基础上,构建生成式人工智能大模型赋能传统出版企业转型升级有效路径的理论模型。模型揭示了如何更好地将生成式人工智能大模型赋能企业后端的生产力提升和前端的新价值创造是传统出版企业实现转型升级的关键。

基于云模型的我国区域书刊出版发展态势研究

自2014年起,我国书刊出版发展被迫面临一系列转折和调整。特别是在当前的产业数字化、智能化背景下,我国书刊出版产业发展正处于关键转型阶段。为科学分析我国书刊出版发展规律,以过去15年间国家统计局统计数据为样本,应用云模型对国内各区域的书刊出版数据进行云滴化处理,借助二维正态逆向云算法分别求出相应期望、熵和超熵3个数字特征参数;然后,应用云模型的二维正态正向云发生算法分析出各区域书刊出版二维正态正向云图;此外,还构建了全国书刊出版整体二维正态正向云图。最终,利用云模型将我国书刊出版统计数据数字特征所表示的原子概念(定量)转化为粒度概念(定性),进而揭示当前我国各区域的书刊出版发展态势。

面向数字孪生的水利专业模型构建关键技术

水利专业模型是在数字孪生平台中用于准确刻画各类业务孪生过程的关键手段,但现有模型大多针对局部技术点提出,技术路线较为分散,缺乏一套水利专业模型的完整技术体系。立足水利数字孪生建设对水利专业模型的构建、开发与应用需求,提出了水利专业模型的细粒度分解、嵌套复用、组装编排等分层构建技术,基于微服务的封装发布技术,以及面向孪生场景的业务支撑技术。研究成果可为水利数字孪生平台的模型库建设、应用及全生命周期管理提供可行途径和经验借鉴。

科技期刊发布平台数据迁移层次模型的构建与实践应用

科技期刊发布平台迁移过程中所涉及的数据,可根据数据类型划分为期刊的基础数据、期刊的扩展数据、期刊的用户数据及行为数据、期刊网站与上下游系统连通数据等不同的数据层级,并据此构建相关的层次模型。层次模型可应用在实际的数据迁移实践中,本文根据不同层级数据的特点,探讨各层数据在数据迁移过程中的迁移思路、迁移方法和注意事项,并提出相应的迁移案例,以期对促进科技期刊数字化建设的健康发展提供参考。

面向航天器大数据安全传输的发布/订阅系统设计

针对航天器试验任务过程监控的在轨故障诊断状态检测、健康状态评估与航天器寿命预测等多个环节中,海量试验数据在传输、共享、处理、分析、存储等过程中面临的巨大压力,构建面向航天器多源异构数据管理的分布式大数据发布/订阅系统(big-data publish/subscribe system,BPSS)框架。借助大数据与云平台技术,设计了一套航天器海量在轨试验数据传输、管理与缓存方案,对云节点实现主从调控与弹性扩容,并通过基于消息一致性的动态选举算法完成大规模发布/订阅任务,保证数据传输的安全性、一致性与计算效率,具备大数据订阅响应迅速、多源异构数据高吞吐稳定性、分布式组件部署灵活等优点。实地航天器数管实验结果表明,BPSS数据订阅的平均响应时延为0.05 s/GB,同时在单日吞吐量达到85 GB量级时,数据丢帧率控制在0.025%、数据破损率控制在0.018%,与其他开源的发布/订阅系统相比具备一定竞争力。

基于时序数据库与发布订阅机制的环境试验数据处理平台

针对航天领域技术进步及型号任务激增导致的环境试验数据种类与规模庞大、数据源分散,数据处理软件开发耗时且风格不统一,因而不同型号之间环境试验数据难以统一管理、数据处理功能分散的问题,开发了基于时序数据库与发布订阅机制的环境试验数据处理平台。该平台利用时序数据库对分散的海量环境试验数据进行统一存储与管理,实现了大规模数据的高效写入与访问;通过发布订阅机制实现了实时数据的快速展示;通过综合汇总不同型号对数据处理的需求,实现了环境试验数据通用化解析、数据处理与判读、文本导出和报告生成等多种业务功能。最后对环境试验数据处理平台的实施效果进行展示,证明了其具备良好的工程实用性。

“双减”视域下基于素质拓展研发的融合出版

融合出版是将出版业务与新兴技术和管理创新融为一体的新型出版形态,强调线上线下融合为出版内容赋能。“双减”视域之下,围绕学生素质拓展的需求,教育出版传媒要把握技术发展大势,让传统教育出版重塑内容价值。在此基础上,积极开展基于市场需求的选题策划,促进教育出版形成新盈利模式,借助人工智能技术赋能教育出版,是融合出版在当下实现可持续发展的必由之路。

基于新质生产力的出版业人才管理创新与实践

基于新质生产力“以发展为目的、以创新为主导、以高科技高效能高质量为标准”的基本特征,全面审视出版业人才管理体系及其各环节的短板与痛点,进而构建适应新质生产力的出版业人才管理新模式。首先,通过生产力不同发展阶段的比较分析,探索新质生产力对出版业人才的新要求;其次,提炼出版业人才新质态的四大属性—创新主导性、数据驱动性、能力综合性、人机协同性;最后,从出版业人才的招引机制、培育机制、激励机制三个方面提出具体的人才管理措施,并在此基础上构建新质生产力背景下的出版业人才管理新模式。