数智驱动框架下的非遗档案资源展播服务研究——以《清明上河图3.0》为例

数智驱动下非遗档案资源的展播服务研究,可为新时代档案资源以及中华优秀传统文化的开发与利用提供新思路。本文通过文献分析法,参考医疗信息服务和图书馆服务领域的数智驱动框架,结合数字展播服务和非遗档案资源的特点,提出包含基础设施、数据资源、技术处理、服务应用四个层次的非遗档案资源展播服务数智驱动框架。结合典型案例《清明上河图3.0》对数智驱动框架中各层次进行分析,提出非遗档案数智展播服务发展路径,包括基础设施平台保障、数据资源协同开发、数字技术集成创新、科技赋能文化服务等。

Web3.0时代的数据出版:共创与协作的新生态构建

Web3.0时代具有更加注重数据的智能化、去中心化、隐私保护以及用户掌握数据权利的特点。出版生态中,数据成为提升出版竞争力的关键生产要素和战略性资源,改变了传统知识生产、发现与传播的方式,推动出版业态向数据驱动的范式转变。基于此,文章通过与数字出版进行比较,厘清数据出版的范畴边界、属性特征以及参与主体,采用服务生态系统理论,围绕主体互动关系、数据资源整合、数据服务关联以及技术应用创新等关键要素,构建适应价值链不同环节和不同需求场景的数据出版服务生态系统,提出共创与协作的发展策略,以期为数据出版生态系统的可持续发展提供借鉴。

Construction and Implementation of Multi Collaborative Service Platform Based on Industrial Competitive Intelligence

With the economic globalization and the increasingly fierce industrial competition at home and abroad, the importance of industrial competitive intelligence service is becoming increasingly prominent. Under the policy background of cooperation and sharing, pluralistic coordination has become a new trend in regional economic development. The multi collaborative online service platform of industrial competitive intelligence is jointly constructed by all service subjects. The platform is guided and promoted by the government. Colleges and universities provide support for industrial competitive intelligence theory and professionals, scientific research institutes provide talent and advanced technology support, industry associations are responsible for dynamic monitoring of industrial development, and profit-making institutions are responsible for supplementing industrial competitive intelligence achievements. All service subjects integrate and explore existing intelligence resources and services through the unified online industrial competitive intelligence sharing platform, so as to realize benign cooperation, collaborative management, resource integration, user integration and service integration among subjects, so as to realize multiple collaborative services of industrial competitive intelligence.

Multiple Collaborative Service Model and System Construction Based on Industrial Competitive Intelligence

This paper constructs a multiple collaborative service model of industrial competition intelligence with the main purpose of promoting the development of regional industries. The multiple service subjects include enterprises, governments, colleges and universities, scientific research institutes, industry associations and for-profit institutions. This article starts from the overall development of regional industrial economy, weighs the mutual relationship between the elements of the service model, and promotes multiple service subjects such as enterprises, governments, universities, research institutes, industry associations, and profit-making organizations to realize the collaborative service of resource intelligence, demand intelligence and data intelligence provides linkage intelligence service for the development and innovation of regional industries. This service model can improve the efficiency of industrial competitive intelligence services and the overall competitiveness of regional industries.

A Double-Timescale Reinforcement Learning Based Cloud-Edge Collaborative Framework for Decomposable Intelligent Services in Industrial Internet of Things

With the proportion of intelligent services in the industrial internet of things(IIoT)rising rapidly,its data dependency and decomposability increase the difficulty of scheduling computing resources.In this paper,we propose an intelligent service computing framework.In the framework,we take the long-term rewards of its important participants,edge service providers,as the optimization goal,which is related to service delay and computing cost.Considering the different update frequencies of data deployment and service offloading,double-timescale reinforcement learning is utilized in the framework.In the small-scale strategy,the frequent concurrency of services and the difference in service time lead to the fuzzy relationship between reward and action.To solve the fuzzy reward problem,a reward mapping-based reinforcement learning(RMRL)algorithm is proposed,which enables the agent to learn the relationship between reward and action more clearly.The large time scale strategy adopts the improved Monte Carlo tree search(MCTS)algorithm to improve the learning speed.The simulation results show that the strategy is superior to popular reinforcement learning algorithms such as double Q-learning(DDQN)and dueling Q-learning(dueling-DQN)in learning speed,and the reward is also increased by 14%.

Research on the Path to High-Quality Development of Grassroots Libraries in the Era of Artificial Intelligence in Henan

Since the age of digital intelligence,the government has introduced policies to actively promote the intelligent transformation of grassroots public cultural services.Based on the investigation and analysis of the development status quo of grassroots libraries in Henan Province,we put forward the path of high-quality development of grassroots libraries in Henan,namely,improving the mechanism and system,leading with digital intelligence technology,empowering by Yellow River culture(the heritage and values rooted in the history and traditions of the Yellow River region),and driven by users’demand.

Web3.0背景下的智慧图书馆知识服务研究

图书馆提供知识服务的方式与内容随着信息技术、用户需求和知识生态环境的快速发展而不断演变。Web3.0在信息聚合、终端平台和用户体验等方面体现出分布式、开放式、多维化、智慧化的核心特征,为智慧图书馆实现高精准化、物联化和个性化的知识服务提供了技术条件。智慧图书馆的知识服务将涵盖知识生产、组织、发现、传播、存储等全过程,通过多维融合知识构建、多源知识内容关联,打造多平台入驻的互联网信息与知识服务平台,形成知识服务汇聚门户,使图书馆提供的知识服务能够满足知识社会中不同角色用户的知识需求。

Business Intelligence as a Service——SaaS BI Introduction and Recommendations

Characterized as automated access,analysis,management,improvement,identification,and efficiency,SaaS BI has played a significant role recently. This essay presents information about SaaS BI,such as,the generic reason for prevalent,advantages and limitations of SaaS BI,current market overview,tendency of development of SaaS BI,and applications in business. This paper uses the literature study and descriptive study methods in order to analysis the influence and functions of SaaS BI to the businesses and coping strategies.

Life 3.0:Being Human in the Age of Artificial Intelligence

推荐理由:人工智能的出现让大家开始重新思考人类的未来,泰格马克把生命分成了3个阶段:第一个阶段是最初的生命形式,如细菌,叫作1.0阶段,此时的生命只能自我复制,无法主动适应环境;2.0阶段就是人类这个形式,我们可以主动学习,适应、改变环境,局限在于我们无法改变自身;随着人工智能的出现,生命进入了3.0阶段,此时,人类既可以更新软件,也可以主动增强硬件。

Web 3.0概念、内涵、技术及发展现状

Web 3.0作为人类所期待的下一代互联网受到了学术界、产业界等广泛关注,本文从不同国家(包括政策、公司和产品)、国际组织(ITU、IEEE、IET、W3C)和数据库(Scopus、CNKI)出版物数量角度分析了Web 3.0的发展历程以及发展现状,得出Web 3.0中的基础技术仍然是制约其发展的瓶颈.本文对Web 3.0中的基础技术深入剖析,从网络与计算技术(5G、6G、物联网、云计算、边缘计算及端计算),安全可信技术(区块链技术、隐私计算、身份管理技术),虚实融合技术(虚实交互技术、IoX、跨链技术),智能交互技术(语义网、大数据与数据挖掘、人工智能)四个维度进行阐述.最后对未来Web 3.0在经济、社会、文化方面引起的变革进行了总结.目前无论基于是信息技术升级的需求,还是走出疫情困扰持续低迷的全球经济需求,都需要Web 3.0为经济、科技、文化、社会的变革注入新动能.

Key technologies of artificial intelligence in electric power customer service

As the demand for customer service continues to increase,more companies are attempting to apply artificial intelligence technology in the field of customer service,enabling intelligent customer service,reducing customer service pressure,and reducing operating costs.Currently,the existing intelligent customer service has a limited degree of intelligence and can only answer simple user questions,and complex user expressions are difficult to understand.To solve the problem of low accuracy of multi-round dialogue semantic understanding,this paper proposes a semantic understanding model based on the fusion of a convolutional neural network(CNN)and attention.The model builds an“intention-slot”joint model based on the“encoding–decoding”framework and uses hidden semantic information that combines intent recognition and slot filling,avoiding the problem of information loss in traditional isolated tasks,and achieving end-to-end semantic understanding.Additionally,an improved attention mechanism based on CNNs is introduced in the decoding process to reduce the interference of redundant information in the original text,thereby increasing the accuracy of semantic understanding.Finally,by applying the model to electric power intelligent customer service,we verified through an experimental comparison that the proposed fusion model improves the performance of intent recognition and slot filling and can improve the user experience of electric power intelligent customer services.

Unmanned aerial vehicle based intelligent triage system in mass-casualty incidents using 5G and artificial intelligence

BACKGROUND:Rapid on-site triage is critical after mass-casualty incidents(MCIs)and other mass injury events.Unmanned aerial vehicles(UAVs)have been used in MCIs to search and rescue wounded individuals,but they mainly depend on the UAV operator’s experience.We used UAVs and artificial intelligence(AI)to provide a new technique for the triage of MCIs and more efficient solutions for emergency rescue.METHODS:This was a preliminary experimental study.We developed an intelligent triage system based on two AI algorithms,namely OpenPose and YOLO.Volunteers were recruited to simulate the MCI scene and triage,combined with UAV and Fifth Generation(5G)Mobile Communication Technology real-time transmission technique,to achieve triage in the simulated MCI scene.RESULTS:Seven postures were designed and recognized to achieve brief but meaningful triage in MCIs.Eight volunteers participated in the MCI simulation scenario.The results of simulation scenarios showed that the proposed method was feasible in tasks of triage for MCIs.CONCLUSION:The proposed technique may provide an alternative technique for the triage of MCIs and is an innovative method in emergency rescue.

Artificial Intelligence in Health,Human Service Delivery and Education:A Brief Conceptual Overview

This paper will articulate a conceptual overview of online content currently available to assess the development of AI to improve human service delivery and social services as well as to enhance and improve educational service delivery and human condition outcomes.Artificial intelligence has been the subject of substantial optimism and being of service to improving human lifestyles.AI has become an integral aspect of the technology industry and is affecting information science transportation economic and manufacturing services.However,there are emerging applications of AI in the improvement of human welfare,health,and educational attainment.Each of these will be addressed in the conceptual review to follow.

Self-surveillance in French Colonial West Africa： French Intelligence Services and the Hamallist Information Network （1910-1943）

In this article, with the use of the Agency mode, I try to shed light on the resilient capacity of African societies to the foreign inroad in the 20th century. In 1910-1940, the success of Hamallist Information Networks to beat the French imperial machinery in the Nioro of the Sahara located in the French Sudan （known as Mali nowadays）, leads to reconsidering the power relationship organizing the authority and the challenge to establish the authority relation during colonial period. That calls into question the idea of a sole and unique domination by French imperialism during colonization and at the same time, it indicates that indigenous people were very active in the historical processes, which determined their existence.

On the Problems and Countermeasures of Urban Community Intelligence Service for the Elderly

The problem of aging population is a major trend in the twenty-first Century. As a new way of old-age pension, intelligent endowment service has been implemented in China, and gradually extended. But it has some problems： the contents of the service are not enough and it cannot fit other people＇s needs. It is the lack of linkage on every department of government and the funds and so on .In order to solve these problems, we should expand the service content and improve the service level, define the government＇s role and function, increase the sources of funding and so on. With the implementing of these measures, intelligent endowment services will get further development. And it will deal with the social problem of aging better.

Intelligence service binding architecture for interoperability between home network devices

Existing home devices in home network provides only independent services limited on a homogeneous protocol and/or do not fully support an intelligent service provided by cooperating among heterogeneous protocol devices. This paper proposes an intelligent and integrated service binding architecture which allow the users to figure out the status of devices and to cooperate among home network devices regardless of supported protocols or operational characteristics.

新质生产力的演化:维度、结构及路径

新质生产力体现为全方位、系统性、持续性的变革过程,其不仅能优化经济基础的应用场景和能力层级,而且能推进产业协同升级和整体跃迁,其发展进程呈现动态性和加速性,可对已有高质量发展范式、路径进行破坏性创新、爆发性升级、动态性更迭。新质生产力是“制度型生产力→干预型生产力→跨越式生产力→信息化生产力→新质生产力”和“结构型生产力→市场型生产力→可持续生产力→信息化生产力→新质生产力”的有机统一。新质生产力是对信息化生产力的继承和发展,是一种更为先进的生产力形态,具有更新颖的数智技术革命背景、更复杂的内在运作机理、更前瞻性的经济系统以及更深邃的演化路径,也更能代表生产力的最新发展趋势。

Artificial Intelligence Model for Software Reusability Prediction System

The most significant invention made in recent years to serve various applications is software.Developing a faultless software system requires the soft-ware system design to be resilient.To make the software design more efficient,it is essential to assess the reusability of the components used.This paper proposes a software reusability prediction model named Flexible Random Fit(FRF)based on aging resilience for a Service Net(SN)software system.The reusability predic-tion model is developed based on a multilevel optimization technique based on software characteristics such as cohesion,coupling,and complexity.Metrics are obtained from the SN software system,which is then subjected to min-max nor-malization to avoid any saturation during the learning process.The feature extrac-tion process is made more feasible by enriching the data quality via outlier detection.The reusability of the classes is estimated based on a tool called Soft Audit.Software reusability can be predicted more effectively based on the pro-posed FRF-ANN(Flexible Random Fit-Artificial Neural Network)algorithm.Performance evaluation shows that the proposed algorithm outperforms all the other techniques,thus ensuring the optimization of software reusability based on aging resilient.The model is then tested using constraint-based testing techni-ques to make sure that it is perfect at optimizing and making predictions.

科技情报智慧数据:方法、体系与应用

[目的/意义]分析智慧数据建设现状,认识人工智能时代科技情报智慧数据建设的方法与框架。[方法/过程]界定科技情报智慧数据的概念内涵,提出“明确定位与价值、数据架构体系、建设知识语料、数据质量控制、嵌入业务流程的协同建设模式、数据权益约束及安全分级”7个方面的建设原则,设计“技术与功能逻辑、数据分类组织、数据建设流程、数据协同加工工具、运营服务策略”体系框架,拓展智慧数据的示范应用。[结果/结论]通过研发具有“收、存、治、管、用”一体化的科情数据平台,建立了覆盖“情报动态、科研成果、创新活动、创新主体及多类功能型知识实体”等类型的科技情报智慧数据中心,并在“科技人才自动发现、重大科技问题的自动生成以及语义查重查新”等场景中开展应用。

具身智能知识服务:元宇宙与AIGC等新技术赋能下的知识服务新图景

[目的/意义]智能技术的发展为知识服务领域带来前所未有的变革。研究具身智能知识服务的理论逻辑、技术基础、体系框架和应用前景,可以为知识服务领域提供新的理论参照和实践指导。[方法/过程]基于具身认知理论,深刻理解具身智能知识服务的在场性、主动性和连接性特征。进一步分析以元宇宙、AIGC、数智人和人形机器人等作为技术基座所构建的具身智能知识服务体系框架,涵盖具身知识的生成、加工、传播、反馈等要素,并探讨具身智能知识服务在教育培训、公共文化、文化旅游和医疗健康等不同服务场景中的应用。[结果/结论]分析具身智能知识服务体系框架的构建和应用图景,有助于建立更全面和智能的知识服务网络,满足用户的知识需求,提高具身智能知识服务的效能并推动具身智能知识服务的高质量发展。