Secure Big Data Storage and Sharing Scheme for Cloud Tenants

The Cloud is increasingly being used to store and process big data for its tenants and classical security mechanisms using encryption are neither sufficiently efficient nor suited to the task of protecting big data in the Cloud.In this paper,we present an alternative approach which divides big data into sequenced parts and stores them among multiple Cloud storage service providers.Instead of protecting the big data itself,the proposed scheme protects the mapping of the various data elements to each provider using a trapdoor function.Analysis,comparison and simulation prove that the proposed scheme is efficient and secure for the big data of Cloud tenants.

Analysis of temporal and spatial usage patterns of dockless bike sharing system around rail transit station area

In order to study the spatiotemporal characteristics of the dockless bike sharing system(BSS)around urban rail transit stations,new normalized calculation methods are proposed to explore the temporal and spatial usage patterns of the dockless BSS around rail transit stations by using 5-weekday dockless bike sharing trip data in Nanjing,China.First,the rail transit station area(RTSA)is defined by extracting shared bike trips with trip ends falling into the area.Then,the temporal and spatial decomposition methods are developed and two criterions are calculated,namely,normalized dynamic variation of bikes(NDVB)and normalized spatial distribution of trips(NSDT).Furthermore,the temporal and spatial usage patterns are clustered and the corresponding geographical distributions of shared bikes are determined.The results show that four temporal usage patterns and two spatial patterns of dockless BSS are finally identified.Area type(urban center and suburb)has a great influence on temporal usage patterns.Spatial usage patterns are irregular and affected by limited directions,adjacent rail transit stations and street networks.The findings can help form a better understanding of dockless shared bike users behavior around rail transit stations,which will contribute to improving the service and efficiency of both rail transit and BSS.

CRESS: A Platform of Infrastructure Resource Sharing for Educational Cloud Computing

Cloud computing is very attractive for schools, research institutions and enterpri- ses which need reducing IT costs, improving computing platform sharing and meeting lice- nse constraints. Sharing, management and on- demand allocation of network resources are particularly important in Cloud computing. Ho- wever, nearly all-current available cloud com- puting platforms are either proprietary or their software infrastructure is invisible to the rese- arch community except for a few open-source platforms. For universities and research insti- tutes, more open and testable experimental plat- forms are needed in a lab-level with PCs. In this paper, a platform of infrastructure resou- rce sharing system （Platform as a Service （PaaS）） is developed in virtual Cloud comput- hug environment. Its architecture, core modules, main functions, design and operational envir- onment and applications are introduced in de- tail. It has good expandability and can impr- ove resource sharing and utilization and is app- lied to regular computer science teaching and research process.

Visualization of flatness pattern recognition based on T-S cloud inference network

Flatness pattern recognition is the key of the flatness control. The accuracy of the present flatness pattern recognition is limited and the shape defects cannot be reflected intuitively. In order to improve it, a novel method via T-S cloud inference network optimized by genetic algorithm(GA) is proposed. T-S cloud inference network is constructed with T-S fuzzy neural network and the cloud model. So, the rapid of fuzzy logic and the uncertainty of cloud model for processing data are both taken into account. What's more, GA possesses good parallel design structure and global optimization characteristics. Compared with the simulation recognition results of traditional BP Algorithm, GA is more accurate and effective. Moreover, virtual reality technology is introduced into the field of shape control by Lab VIEW, MATLAB mixed programming. And virtual flatness pattern recognition interface is designed.Therefore, the data of engineering analysis and the actual model are combined with each other, and the shape defects could be seen more lively and intuitively.

The Application of Cloud Computing in Virtual Enterprise’s Information Resources Sharing

With the rapid development of social,science and technology ,we are always looking for the advanced and rapid manufacturing method and the management pattern.thus a new enterprise cooperation pattern-Virtual Enterprise arises at the historic moment. The cooperation is a process which advantages the temporary enterprise resources each other. Therefore, the virtual enterprise must encounter the problem that how to realize the virtual enterprises’ information resources sharing and improve the efficiency of enterprise cooperation. This paper uses the cloud computing’s advantage to solve the problem of virtual enterprise information resources sharing. Then enterprise is able to share the information of different regions,different computing environment and improve the efficiency of virtual enterprise cooperation.

Design and Implementation of Novel Precision Internet Marketing Patterns under the Big Data and Cloud Environment

Nowadays most of the cloud applications process large amount of data to provide the desired results. The Internet environment, the enterprise network advertising, network marketing plan, need partner sites selected as carrier and publishers. Website through static pages, dynamic pages, floating window, AD links, take the initiative to push a variety of ways to show the user enterprise marketing solutions, when the user access to web pages, use eye effect and concentration effect, attract users through reading web pages or click the page again, let the user detailed comprehensive understanding of the marketing plan, which affects the user＇ s real purchase decisions. Therefore, we combine the cloud environment with search engine optimization technique, the result shows that our method outperforms compared with other approaches.

SSEM： Secure, Scalable and Efficient Multi-Owner Data Sharing in Clouds

Data sharing is a main application of cloud computing. Some existing solutions are proposed to provide flexible access control for outsourced data in the cloud. However, few attentions have been paid to group-oriented data sharing when multiple data owners want to share their private data for cooperative purposes. In this paper, we put forward a new paradigm, referred to as secure, scalable and efficient multi-owner(SSEM) data sharing in clouds. The SSEM integrates identity-based encryption and asymmetric group key agreement to enable group-oriented access control for data owners in a many-to-many sharing pattern. Moreover, with SSEM, users can join in or leave from the group conveniently with the privacy of both group data and user data.We proposed the key-ciphertext homomorphism technique to construct an SSEM scheme with short ciphertexts. The security analysis shows that our SSEM scheme achieves data security against unauthorized accesses and collusion attacks. Both theoretical and experimental results confirm that our proposed scheme takes users little costs to share and access outsourced data in a group manner.

Cloud Service Provisioning Based on Peer-to-Peer Network for Flexible Service Sharing and Discovery

In this paper, we present an approach to establish efficient and scalable service provisioning in the cloud environment using P2P-based infrastructure for storing, sharing and discovering services. Unlike most other P2P-based approaches, it allows flexible search queries, since all of them are executed against internal database presenting at each overlay node. Various issues concerning using this approach in the cloud environment, such as load-balancing, queuing, dealing with skewed data and dynamic attributes, are addressed in the paper. The infrastructure proposed in the paper can serve as a base for creating robust, scalable and reliable cloud systems, able to fulfill client’s QoS requirements, and at the same time introduce more efficient utilization of resources to the cloud provider.

Improved Secure Identification-Based Multilevel Structure of Data Sharing in Cloud Environments

The Cloud Computing Environment(CCE)developed for using the dynamic cloud is the ability of software and services likely to grow with any business.It has transformed the methodology for storing the enterprise data,accessing the data,and Data Sharing(DS).Big data frame a constant way of uploading and sharing the cloud data in a hierarchical architecture with different kinds of separate privileges to access the data.With the requirement of vast volumes of storage area in the CCEs,capturing a secured data access framework is an important issue.This paper proposes an Improved Secure Identification-based Multilevel Structure of Data Sharing(ISIMSDS)to hold the DS of big data in CCEs.The complex file partitioning technique is proposed to verify the access privilege context for sharing data in complex CCEs.An access control Encryption Method(EM)is used to improve the encryption.The Complexity is measured to increase the authentication standard.The active attack is protected using this ISIMSDS methodology.Our proposed ISIMSDS method assists in diminishing the Complexity whenever the user’s population is increasing rapidly.The security analysis proves that the proposed ISIMSDS methodology is more secure against the chosen-PlainText(PT)attack and provides more efficient computation and storage space than the related methods.The performance of the proposed ISIMSDS methodology provides more efficiency in communication costs such as encryption,decryption,and retrieval of the data.

Analysis on the Application of Cloud Computing to the Teaching Resources Sharing Construction in Colleges and Universities

Cloud computing is a new computing model. The application of cloud computing to the field of higher education informatization has been very popular currently. In this paper, the concept and characteristics of cloud computing are introduced, the current situation of the teaching resources sharing and construction in colleges and universities is analyzed, and finally the influence of cloud computing on the construction of teaching information resources is discussed.

Box with inlaid gold and silver cloud patterns

The late Warring States Period (475 B.C-221 B.C)Caliber diameter:18.2 cm Bronze with inlaid silver The surfaces of the utensil body and the lid are decorated with cloud patterns by using the inlaid gold or silver filaments and flakes. The decorative patterns are very slim and extremely exquisite.

Design and Implementation of the Platform for Multimedia Resource Sharing based on Cloud Technology

This paper first reviews the current state of multimedia teaching resource sharing in China as well as the problems encountered. It then proceeds to the focus that a good way out for the dilemma is to design a platform of multimedia teaching resource sharing based on cloud service concept.

Separation of Atmospheric Circulation Patterns Governing Regional Variability of Arctic Sea Ice in Summer

In recent decades,Arctic summer sea ice extent(SIE)has shown a rapid decline overlaid with large interannual variations,both of which are influenced by geopotential height anomalies over Greenland(GL-high)and the central Arctic(CA-high).In this study,SIE along coastal Siberia(Sib-SIE)and Alaska(Ala-SIE)is found to account for about 65%and 21%of the Arctic SIE interannual variability,respectively.Variability in Ala-SIE is related to the GL-high,whereas variability in Sib-SIE is related to the CA-high.A decreased Ala-SIE is associated with decreased cloud cover and increased easterly winds along the Alaskan coast,promoting ice-albedo feedback.A decreased Sib-SIE is associated with a significant increase in water vapor and downward longwave radiation(DLR)along the Siberian coast.The years 2012 and 2020 with minimum recorded ASIE are used as examples.Compared to climatology,summer 2012 is characterized by a significantly enhanced GL-high with major sea ice loss along the Alaskan coast,while summer 2020 is characterized by an enhanced CA-high with sea ice loss focused along the Siberian coast.In 2012,the lack of cloud cover along the Alaskan coast contributed to an increase in incoming solar radiation,amplifying ice-albedo feedback there;while in 2020,the opposite occurs with an increase in cloud cover along the Alaskan coast,resulting in a slight increase in sea ice there.Along the Siberian coast,increased DLR in 2020 plays a dominant role in sea ice loss,and increased cloud cover and water vapor both contribute to the increased DLR.

Inheritance and Innovation of Chinese Intangible Cultural Heritage in Modern Designs: A Case Study of Nanjing Cloud-Pattern Brocade

With the development of world heritage protection undertakings, dynamic inheritance of intangible cultural heritage has become a topic of great concern. This study explored the feasibility of integrating cloud-pattern brocade heritage and modern design and the innovation techniques, so as to provide new concepts for the inheritance and development of intangible cultural heritage.

数智技术赋能统战工作发展透视

数智技术与统战工作在价值理念和政治定位等层面具有高度契合性,前者可以满足后者信息化、智能化、精准化、动态化等发展需求,为后者高质量发展提供持续动能。数智技术能有效支撑和服务于统战工作、开拓统战工作数据应用新空间、激发统战工作新活力。当前我国数智统战工作取得了一些进展,但也面临数字化平台和工具应用不足、数据共享和协同体系不完善以及数智化人才短缺和统战干部理念更新不足等问题。因此,未来数智统战应综合运用数智技术,通过构建面向统战对象的大数据智能分析平台、开发数智化统战工作工具、丰富宣传内容和形式,推动统战工作凝聚人心、汇聚力量;通过制定统一的数智统战顶层设计和规划、构建统一开放的统战云平台、完善数智安全保障体系,赋能大统战工作格局的构建;通过推进协商数智化体系构建、建立政协系统数智人才培训与考核机制、加大新技术在协商业务流程中的应用,深化协商民主。

新时期推进高质量发展的若干路径

高质量发展是全面建设社会主义现代化国家的首要任务。新时期,我国高质量发展呈现新特征、新状态,客观上要求新的发展思路与之契合。新时期推进高质量发展,一是需要加快推动新质生产力发展,新质生产力作为先进生产力的演进方向,对新时期高质量发展具有强劲推动力;二是重点推进“双循环”发展,进一步强化国内大循环的主导作用,同时推动国内国际双循环相互促进;三是扎实推进“四化同步”发展,我国的“并联式”现代化发展路径不同于西方国家的“串联式”发展模式,在现代化建设上开辟了符合中国国情、具有中国特色的全新思路,而“并联式”发展模式也意味着发展的压力大、任务重,需要重点谋划;四是协调推进经济实现质的有效提升和量的合理增长,正确理解经济增长的质与量的关系,在强调质量发展的同时追求适度合理的增长速度;五是正确理解人与自然的关系,深刻把握“生命共同体”的科学内涵,实现人与自然和谐共生;六是统筹发展和安全,经济发展能够提升国家解决安全隐患和风险的能力,在新时期,应着重强调经济安全在国家安全体系中的重要地位。

“互联网+医疗健康”背景下“健康辽宁影像云”平台的搭建与应用实践

在“互联网+医疗健康”背景下,通过搭建“健康辽宁影像云”平台,实现影像检查数据的互联互通和检查结果的共享互认,对深化医疗体制改革,落实分级诊疗制度,促进优质医疗资源下沉具有重要意义。文章运用成本核算法对Z医院开展“健康辽宁影像云”项目的应用效果进行分析,结果显示影像云服务可以节约医疗成本,减轻患者就医负担。

不完全信息下云制造平台动态匹配时域与稳定匹配研究

鉴于现有研究侧重于构建云制造平台供需匹配模型并开发求解算法,批处理匹配时域长度在不确定环境下对云制造平台运营的影响关注不足,针对云制造平台产能供需双方随机到达并可随时离开的复杂情景,建立了基于动态二部图的Markov决策模型,并提出基于状态和动作重塑技术的Q-learning动态时域匹配决策方法。该方法根据平台订单和共享产能的聚合信息,自适应地决策匹配时域长度,并产生考虑了供需双方偏好的稳定匹配方案。数值实验表明,在多种情景和问题参数下,该方法的综合平台运营指标优于常用的随机事件触发和固定匹配时域方法。实验结果为云制造平台供需匹配运营提供了管理启示。

小微企业共享制造平台生态系统运行机制研究

基于云制造的小微企业共享制造平台构成平台生态系统,其核心要素包括平台运营企业、制造资源提供方企业、制造资源需求方企业和为小微企业提供服务的互补生态种群企业。共享制造平台集聚分散的制造资源,通过建立连接机制、产权机制、决策机制、信息机制、激励机制、约束机制、风险机制、信任合作机制、赋能机制、价值共创机制,吸引多边企业入驻,激发网络效应,促进平台生态系统协同发展,为小微企业提供全产业链、全生命周期的制造服务。

清代服饰云纹探析

针对清代服饰云纹的形态和设计方法,采用文献考据法、实证研究法和比较研究法,梳理清代服饰云纹的形态演变脉络,归纳清代服饰云纹的造型特征、色彩特征和装饰功能。研究表明:清代服饰云纹在承袭明代样式的基础上发展演变,受清代舆服制度等的影响而形成时代风格。清代服饰云纹按造型可归纳为沉稳敦厚型、纤秀流畅型、短圆规则型3大类,这3类云纹有着明显的演变渐进关系;清代服饰云纹按色彩可归纳为五彩云纹、青云纹、金云纹3大类,这3种调式的云纹各自有着较为固定的配色程式;清代服饰云纹在整幅纹样中或充当主纹,或充当辅纹,起着点题、完善情景、丰富寓意等作用。