Research on the Development Strategy of Smart Tourism in Hainan Under the Background of Big Data

Hainan is a major tourist province.It is urgent to promote the transformation and upgrading of Hainan’s tourism industry from a traditional service industry to a modern service industry by means of informatization.Smart tourism is a brand-new tourism form and operation mode of tourism transformation and upgrading.Integrating big data technology will make smart tourism more accurate in three aspects:tourism management,tourism service,and tourism marketing,and further enhance the satisfaction of the tourism experience.This paper studies the development status of smart tourism in Hainan,deeply summarizes its existing problems and causes,and puts forward the development strategy of smart tourism in Hainan to promote the healthy development of the tourism industry in Hainan.

Research on Enterprise Human Resource Management Reform Strategy in the Era of Big Data

In the 21st century,with the development of the Internet,mobile devices,and information technology,society has entered a new era:the era of big data.With the help of big data technology,enterprises can obtain massive market and consumer data,realize in-depth analysis of business and market,and enable enterprises to have a deeper understanding of consumer needs,preferences,and behaviors.At the same time,big data technology can also help enterprises carry out human resource management innovation and improve the performance and competitiveness of enterprises.Of course,from another perspective,enterprises in this era are also facing severe challenges.In the face of massive data processing and analysis,it requires superb data processing and analysis capabilities.Secondly,enterprises need to reconstruct their management system to adapt to the changes in the era of big data.Enterprises must treat data as assets and establish a perfect data management system.In addition,enterprises also need to pay attention to protecting customer privacy and data security to avoid data leakage and abuse.In this context,this paper will explore the thinking of enterprise human resource management innovation in the era of big data,and put forward some suggestions on enterprise human resource management innovation.

Research on Innovation Strategy of Supply Chain Management of Agricultural Enterprises Under the Background of Big Data

With the rapid development and widespread application of Big Data technology, the supply chain management of agricultural products enterprises is facing unprecedented reform and challenges. This study takes the perspective of Big Data technology and collects relevant information on the application of supply chain management in 100 agricultural product enterprises through a survey questionnaire. The study found that the use of Big Data can effectively improve the accuracy of demand forecasting, inventory management efficiency, optimize logistics costs, improve supplier management efficiency, enhance the overall level of supply chain management of enterprises, and propose innovative strategies for supply chain management of agricultural products enterprises based on this. Big Data technology brings a new solution for agricultural products enterprises to enhance their supply chain management level, making the supply chain smarter and more efficient.

A construction strategy for a tunnel with big deformation

By integrating literature reviews, site observa- tion, field monitoring, theoretical analysis, summarization, etc., a construction strategy was proposed and verified for tunneling with big deformation in this paper. The tunnel was in phyllite, shotcrete cracks and steel arch distortion were observed, and a big deformation with a maximum of 2.0 m was monitored during the initial stage of the construction. Through carefully examining the site observation and laboratory test results, a construction principle was established for the tunneling on the basic concept of maintaining the rock strength/stiffness and keeping the rock dry, by providing confinement pressure to the rock, reducing the rock exposure time, keeping water out of the tunnel, etc. To achieve the construction principle, a set of specific construction measures with 11 items was further proposed and applied to the construction. To check the effectiveness of the construction measures, field monitoring was carried out, which showed that the rock deformation was well controlled and the tunnel became stable. An allowable deformation was then determined using the Fenner formulae and the monitored data in order to guide further construction, which received a good result. From this study, it can be concluded that providing quick strong initial support and reserving core soil at the working faceare extremely important to control the rock deformation and keep the tunnel stable.

Assessing high-quality development of the Guizhou industry under the big data strategy

Industry is the main industry of the real economy,the main body of scientific and technological innovation,and essential support for improving the quality and efficiency of the regional economy.In recent years,Guizhou’s industry has achieved efficiency,motivation,and change by relying on three strategic actions:big data,significant poverty alleviation,and big ecology,which has promoted the development of Guizhou’s s industrial economy.Guided by the ideas and concepts of high-quality development,this paper intends to construct the evaluation index system and evaluation model for the high-quality development of the industrial economy.This paper evaluates the high-quality development of the industrial economy in Guizhou Province from both vertical and horizontal aspects.Vertically,Guizhou in recent years in terms of big data,big ecology,and poverty alleviation strategy under the development trend is good;horizontally,among the four provinces and cities in southwestern China,Guizhou Province has the lowest average score in the past five years,and it is urgent to improve the talent policy and promote the upgrading of industrial structure.Finally,combined with relevant policies,countermeasures and suggestions are put forward for the shortboard of industrial development in Guizhou to promote the high-quality development of Guizhou’s industry.

北美国际石油公司能源转型特征分析及其启示

欧洲国际石油公司一直是国际油气行业能源转型的先行者和领跑者,但随着国际政治经济形势和地缘政治的剧烈变化,欧洲国际石油公司纷纷放弃原先较为激进的“大能源”转型发展战略和降低油气业务比重的计划,被迫实施油气业务“归核化”举措。而北美国际石油公司则坚守“大油气”转型发展战略,始终坚持稳健均衡的转型发展战略、转型实施路径、投资策略及并购策略,采取更为稳妥务实的转型举措,选择开展与油气业务强相关的、可以有效利用现有油气基础设施和公用工程的生物质、氢能及CCUS业务。实践表明,传统油气业务是国际油气行业能源转型的最大底层经济支撑,能源转型要避免大幅剥离传统油气资产而造成暂时或区域能源供应安全问题,油气资源目前依然是油气行业核心竞争力的主要来源。我国油气行业可借鉴北美国际石油公司能源转型发展的经验,研究制定中长期油气增储上产发展战略目标,积极有效地实施高效勘探、效益开发,因地制宜地发展战略性新兴产业和未来产业,优先选择可以与现有产业、业务、资产形成协同效应、耦合效果的新兴产业和业务,摒弃“只买不卖”的传统资产经营理念,树立资产并购与剥离常态化思维,同时加快与数字化、人工智能先进技术的耦合发展。

基于BigQuant大数据平台的股票投资策略开发

文中基于BigQuant平台股票投顾系统,利用StockRanker算法和回测机制,对中国股市在整个样本期2010年1月1日至2019年2月5日具有正常交易的全部A股中剔除沪深300指数成份股后的1848只股票特征数据进行分析,给出最有投资价值的股票排序,从而为具有不同风险偏好的投资者提供智能化、个性化的资产配置建议。文中基于标准指数基金中证500指数,通过策略判断,用业绩优异的非成份股代替业绩较差的成份股,开发出一款D产品,它具有超越标准指数基金更好、更稳定的投资收益。

基于强化学习的云环境下大数据能效策略模型

大数据需要大量的云资源进行数据处理和分析,运行起来需要消耗较多的能源,在处理大数据的云环境中,资源数量和任务数量呈指数级增长,导致云数据中心的功耗增加。基于此,提出了一种基于强化学习的云环境下大数据能效策略模型,该模型利用DPSO和DQN的集成来更好地估计和校正数据维数缺陷。将所提出的模型与传统的DQN和负载感知算法加以比较。结果表明,随着任务数量的增加,所提模型在大数据处理方面的性能优于传统DQN和负载感知算法,为绿色云环境下的资源配置提供了一种节能方案。

大数据技术赋能数字法治政府建设的作用机理、风险和应对策略

数字化时代带来了海量的数据,如何有效利用这些数据成了重要问题。首先,大数据技术作为一种强大的数据处理和分析工具,为数字法治政府建设提供了保障。大数据技术赋能数字法治政府的作用机理,是利用大数据技术来提升数字法治政府的运行效率。通过数据采集、处理和分析,大数据技术能为数字法治政府建设提供数据支撑。其次,大数据技术赋能数字法治政府建设也面临技术、法律和社会的风险。数据的泄露和侵犯个人隐私都会对数字法治政府建设造成损害。再次,大数据技术赋能数字法治政府建设的风险应对策略,可以从技术层面、法律层面和社会管理层面着手。在技术层面上,需要加强数据安全保护和隐私保护措施,确保大数据技术能够安全、合法地应用于数字法治政府建设。在法律层面上,需要完善相关法律法规,加大执法力度,明确相关权益。在社会管理层面上,需要提高公众的数据安全和隐私保护意识,加强相关教育和培训。

大数据赋能职业院校数字化建设研究

在职业教育领域,大数据技术的应用具有深远的意义。如何有效整合和利用大数据资源,推动职业院校的数字化建设,提升教育教学的质量和效率,已成为当前职业教育发展的重要课题。为此,相关人员需结合大数据,采取有效措施推动职业院校的数字化建设。文章将探究大数据赋能职业院校数字化建设的有效策略。

物质与社会双维视角下历史街区更新研究

信息化手段的应用和多元融合视角有助于深入解析空间特点和发展问题。本研究基于“物质与社会”双维视角的拓展,联合应用形态区划、大数据分析和社会调查多种研究方法,基于历史街区的形态类型划分,解析各类形态单元的物质形态和空间使用特征,而后结合综合价值的判定,分类提出各形态单元的更新策略。研究结论表明:历史街区的更新不应局限于空间形态解析,应结合空间使用者特征与需求的多维分析,进行不同时序与模式的确定。研究意图为历史街区空间与人群的联动管理提供新思路,研究结论对有效引导历史街区的自有资源和动力具有指导意义。

大数据战略对企业新质生产力的影响机制:基于知识共享的中介效应

推动新质生产力发展是企业脱虚向实的关键,而大数据战略则是其中的重要策略。以2007—2022年沪深A股上市企业为样本,通过准自然实验阐明大数据战略与企业新质生产力发展的关系。实证研究发现,大数据战略显著地提升了企业新质生产力。作用机制分析表明,大数据战略通过推动知识共享提升了企业新质生产力的发展;调节机制分析表明,数据要素参与度正向调节大数据战略对企业新质生产力的促进作用,金融可得性正向调节大数据战略对企业新质生产力的促进作用。据此,促进企业新质生产力发展需要完善大数据战略与知识共享的激励机制,并提高数据要素与金融要素的参与程度。

大数据支持下的语文课堂阅读教学探赜

大数据技术具有教学个性化、反馈即时化、资源数字化、评估动态化等优势,可为学生创设生动形象的教学情境,让学生尽情感受自主阅读的无限乐趣,深入体验阅读活动的丰富多元,充分点燃学生课堂参与的热情。在大数据技术的不断发展与语文阅读教学的开放性支持下,大数据在语文课堂阅读教学中的应用变得切实可行。文章从创设多元情境、激发阅读兴趣,促进师生互助协作、创新阅读方式,拓展线上资源、丰富阅读体验,构建阅读网络、优化认知结构等方面,对大数据支持下的语文课堂阅读教学策略进行探讨,旨在提升阅读教学的有效性,为学生的终身学习和全面发展奠定坚实基础。

堤防工程管理模型优化及维护研究

堤防工程在防洪、水资源利用和生态保护等方面起着重要作用。为了提高堤防工程的管理效率和可靠性,本文研究了堤防工程管理模型的优化和维护问题。通过综合考虑堤防结构、监测系统、维护策略等方面的因素,提出了一种综合性的管理模型,以优化堤防的性能并延长其使用寿命。该模型结合了数学模型、大数据分析和先进技术应用,为堤防工程管理提供了新的思路和方法。本文首先介绍了堤防工程管理模型的现状和问题、优化方法、维护策略以及实际应用案例;然后通过综合分析研究成果,得出结论并提出未来研究方向。

Issues of Eco-agricultural Industrialization for Big Qinling Eco-city Cluster

Firstly,the necessities of ecological agriculture development in Big Qinling Eco-city Cluster were discussed.Then,condition endowment of eco-agricultural industrialization in Big Qinling Eco-city Cluster was analyzed from the aspects of basic conditions and differential endowment of eco-agricultural industrialization.Finally,specific forms and functional orientation of eco-agriculture were pointed out.Countermeasures for the eco-agricultural industrialization in Big Qinling Eco-city Cluster were put forward.Firstly,the government guidance and the media publicity should be strengthened.Secondly,financial support for the eco-agricultural industrialization in Big Qinling Eco-city Cluster should be enhanced.Thirdly,branding strategies of eco-agricultural products in Big Qinling Eco-city Cluster should be implemented as soon as possible.

Content Centric Networking: A New Approach to Big Data Distribution

In this paper, we explore network architecture anal key technologies for content-centric networking （CCN）, an emerging networking technology in the big-data era. We descrihe the structure anti operation mechanism of tl CCN node. Then we discuss mobility management, routing strategy, and caching policy in CCN. For better network performance, we propose a probability cache replacement policy that is based on cotent popularity. We also propose and evaluate a probability cache with evicted copy-up decision policy.

Intellectual Property Protection and High-Quality Development of Xinjiang Melons under the Big Food Concept

The development of diversified foods such as melons under the big food concept can reduce the pressure on staple food grain.Xinjiang has the advantages of building a new development pattern of dual circulation of diversified food industry and establishing a national diversified food safety and high-quality assurance center.The construction of an agricultural power needs the strategic support of an intellectual property power.This paper introduced and studied Xinjiang s melon industry and its agricultural intellectual property resources,analyzed the six main problems,including many idle land resources have not been developed into melon fields and the role of melons in diversified food supply systems not well played.Finally,it proposed to vigorously develop diversified food industries such as melons in Xinjiang and establish an eight-point strategy such as national diversified food safety and high-quality assurance center.

A Research on College English Network Teaching Resources Integration and Utilization in Big Data Era

Based on the background of ＂big-data-blowout＂, this thesis is about research on college English network teaching resources integration and utilization confronted with the chance of ＂data value, the data assets and data say＂, analyzing the inevitable challenge of ＂competition, digital divide and data privacy＂, discussing that the researchers should hold big data thinking of ＂peaks of road ＆ dances with wolves ＆ be interdependent＂, emphasizing the improvement from college English teacher＇s modem education technical information literacy[1] and putting forward to resource integration and utilization strategy in the era of big data.

“方案炼金术”创作策略解读——以丹麦BIG事务所的设计理念与作品为例

BIG(Bjarke Ingels Group)是由年轻建筑师比贾克·英格尔斯于2006年创建,位于北欧丹麦地区的新兴建筑事务所,此事务所经过短短几年时间的实践与研究,已经越来越广泛地得到业界的关注与认可,尤其是在建筑方案创作层面,更是独树一帜。比贾克·英格尔斯将BIG的这种创作理念概括为"方案炼金术"(Alchemy),即指通过协调和整合设计过程中的各种条件、矛盾和冲突,一步步演变并最终找到最适合这个场地的解决方案,达到各个利益方共赢的局面。以此为契机,该文通过理论和案例分析,试图解读这一较为独特的设计策略。