Multi-agent reinforcement learning for edge information sharing in vehicular networks

To guarantee the heterogeneous delay requirements of the diverse vehicular services,it is necessary to design a full cooperative policy for both Vehicle to Infrastructure(V2I)and Vehicle to Vehicle(V2V)links.This paper investigates the reduction of the delay in edge information sharing for V2V links while satisfying the delay requirements of the V2I links.Specifically,a mean delay minimization problem and a maximum individual delay minimization problem are formulated to improve the global network performance and ensure the fairness of a single user,respectively.A multi-agent reinforcement learning framework is designed to solve these two problems,where a new reward function is proposed to evaluate the utilities of the two optimization objectives in a unified framework.Thereafter,a proximal policy optimization approach is proposed to enable each V2V user to learn its policy using the shared global network reward.The effectiveness of the proposed approach is finally validated by comparing the obtained results with those of the other baseline approaches through extensive simulation experiments.

Information Network Systems and Information Sharing on Administrative Websites

In Japanese 'e-government' policy, called 'e-Japan', the 'administrative document management system' is functioning as information searching systems. On the other hand, this system has also generated the problem that it is not fully functioning as a means for the information sharing in a governmental agency. So, the purpose of this research is to find how the administrative document management system can function as information sharing in administrative organization. For this purpose, this paper considers the current status and some problems firstly. And secondary, this paper proposes the idea and constructs some information systems using administrative official Website. This is the method and approach of this research. As a conclusion, this proposal information system junctions as information sharing support systems.

Effects of information transmission delay and channel blocking on synchronization in scale-free Hodgkin-Huxley neuronal networks

In this paper,we investigate the evolution of spatiotemporal patterns and synchronization transitions in dependence on the information transmission delay and ion channel blocking in scale-free neuronal networks.As the underlying model of neuronal dynamics,we use the Hodgkin-Huxley equations incorporating channel blocking and intrinsic noise.It is shown that delays play a significant yet subtle role in shaping the dynamics of neuronal networks.In particular,regions of irregular and regular propagating excitatory fronts related to the synchronization transitions appear intermittently as the delay increases.Moreover,the fraction of working sodium and potassium ion channels can also have a significant impact on the spatiotemporal dynamics of neuronal networks.As the fraction of blocked sodium channels increases,the frequency of excitatory events decreases,which in turn manifests as an increase in the neuronal synchrony that,however,is dysfunctional due to the virtual absence of large-amplitude excitations.Expectedly,we also show that larger coupling strengths improve synchronization irrespective of the information transmission delay and channel blocking.The presented results are also robust against the variation of the network size,thus providing insights that could facilitate understanding of the joint impact of ion channel blocking and information transmission delay on the spatiotemporal dynamics of neuronal networks.

Perspectives for Sharing Personal Information on Online Social Networks

The goal of this research was to study how people feel about sharing personal information on social networks. The research was done by interviews;50 people were interviewed, mostly from China's Mainland, Hong Kong, and Finland. This paper presents the included 12 questions and discusses the collected answers. It was discovered, e.g., that 38 out of the 50 answerers use social media every day and share versatile personal information on the Internet. Half of the answerers also share information about other people on the Internet. It was also discovered that compared to male answerers, the female answerers were more active in sharing information about other people. There was a significant variety in opinions: what should be the age limit for sharing personal information online, while 22 out of the 50 answerers felt that there is no need for an age limit at all. According to the answers, only a few people use social media for making new friends. Instead, an important reason for using social media is that their existing friends are using. An interesting finding was that the answerers see the Internet as a part of the real world;the privacy that you have on the Internet is the privacy that you have in the real world.

Developing architecture of a traveler information system for dynamic equilibrium in traffic networks

Having criticized the current architecture of Advanced Traveler Information Systems （ATISs）, this work discusses a new base of requirements to develop a new paradigm for traffic information systems. It mainly integrates three dimensions within a traffic system： drivers＇ pattern of behavior and preferences, urban traffic desires, and capabilities of traffic information service providers. Based on the above, functional segments from several related backgrounds are brought together to structure a new architecture, called Interactive Traveler Information System （ITIS）. The main interactive feature of this new architecture is a two-way communication track between drivers and the traffic information system provider-in fact, a decision on choosing a road at a particular time for an individual will be made based on the utility of both sides. This new configuration consists of driver-side smartphone application, centric traffic prediction, and decision-maker units, which will shape a new approach of decision-making processes. These all work together to satisfy the designated goal of ITIS, which is preserving the Wardrop equilibrium condition in the traffic network level. Finally, we concentrate on a comparison study, which shows a differentiation between performance of the proposed ITIS and the current ATIS model in a real situation. This has been done with simulations of analogical scenarios. The most noticeable advantage of the proposed architecture is not being limited to a saturation limit, and the positive effect of increasing system penetration in the performance of the newly introduced information system. In conclusion, new research subjects are suggested to be carried out.

Research on Data Tampering Prevention Method for ATC Network Based on Zero Trust

The traditional air traffic control information sharing data has weak security characteristics of personal privacy data and poor effect,which is easy to leads to the problem that the data is usurped.Starting from the application of the ATC(automatic train control)network,this paper focuses on the zero trust and zero trust access strategy and the tamper-proof method of information-sharing network data.Through the improvement of ATC’s zero trust physical layer authentication and network data distributed feature differentiation calculation,this paper reconstructs the personal privacy scope authentication structure and designs a tamper-proof method of ATC’s information sharing on the Internet.From the single management authority to the unified management of data units,the systematic algorithm improvement of shared network data tamper prevention method is realized,and RDTP(Reliable Data Transfer Protocol)is selected in the network data of information sharing resources to realize the effectiveness of tamper prevention of air traffic control data during transmission.The results show that this method can reasonably avoid the tampering of information sharing on the Internet,maintain the security factors of air traffic control information sharing on the Internet,and the Central Processing Unit(CPU)utilization rate is only 4.64%,which effectively increases the performance of air traffic control data comprehensive security protection system.

Information resources reorganization and sharing platform of national scientific＆technical document service in China

Reorganization of network information resources for scientific and technical （scitech for abbreviation） documents and development of information infrastructure have brought a great change in China＇s scitech documentation information sharing. It integrated not only information resources, but also systems, technologies and funds. High quality services and effective resources sharing are the main goals of the platform construction. The paper describes briefly the principles and aims of the integration of the scitech information resources and networks. The services of the sharing platforms have been also introduced.

A review and an outlook of the National Cultural Information Resources Sharing Project

This paper discusses the Project's organization system, technical system, creation of digital resources and service mode. It also summarizes achievements gained since the commencement of the Project, and also analyzes some of the more important issues during implementation stage and gives a few suggestions of the future development during the next stage of the 11thFive-Year Plan.

基于Res-GRU模型的共享单车骑行量预测和影响因素分析

对城市共享单车的骑行影响因素进行深入研究,并对城市共享单车的未来骑行需求量进行科学预测,不仅为共享单车企业对单车调度运营提供参考,也为监管部门的精细化和智能化共享单车监管提供决策依据。为了对共享单车骑行影响因素进行量化分析,并构建高精度的骑行量预测模型,提出基于Res-GRU深度学习网络模型,将用于卷积神经网络的残差神经网络模块融入到门控循环神经网络模型GRU中,可以进一步提高GRU模型精度;同时,首次使用互信息模型对共享单车骑行使用的影响因素进行量化分析。以上海市骑行量数据为研究案例,结果显示,3 d在线量是对共享单车日骑行量影响最重要的因素之一。传统的机器学习模型对共享单车骑行量预测精度为80.1%,GRU模型预测精度为83.7%,而Res-GRU深度学习网络模型对共享单车骑行量预测精度为90.1%,取得较为明显的预测效果。

基于跨链技术的食品供需网信息共享激励模式构建

随着食品种类多元化和消费者需求的提升,食品生产流程更加复杂,供应链之间交流越来越多,相关企业、食品供应链和行业机构之间的交互形成了复杂的食品供需网结构。食品供需网成员之间信息共享有利于企业之间充分合作实现长期发展,但仍有许多企业共享信息意识较弱,无法进行有效信息沟通。区块链跨链技术的应用和发展,为食品供需网信息共享提供了新思路。根据食品供需网复杂性,引入区块链技术和声誉激励机制,将声誉进行量化管理,结合区块链智能合约技术实现声誉激励机制自动化。进一步引入区块链跨链技术,打破不同行业、地区区块链之间的交易壁垒,构建基于区块链跨链技术的食品供需网信息共享声誉激励模式,以猪肉供需网为例阐述跨链信息共享声誉激励流程。该激励模式不仅保障共享信息安全性与准确性,同时保护企业隐私,最大程度保护交易方自身利益,破解信息无法共享的障碍,激发食品供需网企业参与信息共享积极性。不仅实现食品供需网内部异构区块链之间的信息交流和价值互通,还为食品供需网价值信息交流互通的发展提供新思路。

企业扶贫行为传递对乡村振兴的启示——来自股东扶贫网络的证据

现有研究侧重从企业个体维度探讨其参与帮扶的影响因素,忽略了企业个体行为在社会网络中的嵌入性。鉴于此,选取2016~2020年中国A股上市公司精准扶贫数据,从以往研究较少涉及的社会网络视角出发,探究股东扶贫网络对企业扶贫行为的影响及其机理。研究发现:股东在扶贫网络中越靠近中心位置,企业参与精准扶贫的意愿就越强、扶贫投入就越多、扶贫效果就越好;机制检验表明,企业扶贫行为可以在股东扶贫网络中进行传递,股东扶贫网络主要通过信息渠道与公司治理渠道来影响企业扶贫行为;进一步发现,企业的产权性质、融资约束及所在地区的市场化程度,会对股东扶贫网络与企业扶贫行为之间的关系产生异质性影响。研究结论为推动企业参与乡村振兴战略提供了来自社会网络的分析视角,也为政府部门引导股东的社会责任投资提供了经验启示。

共享审计师合作关系网络与会计信息可比性

以2010—2020年A股上市公司为研究样本,分析并检验样本公司与同行其他公司共享审计师合作关系网络对会计信息可比性的影响。研究发现,选择与同行共享审计师合作关系网络的公司会计信息可比性更高。当审计师合作关系网络具有行业专长、审计师处于网络核心位置、网络内同行审计师之间距离更近时,共享审计师合作关系网络对公司会计信息可比性的提升作用更强;此外,这一效应还受到事务所规模以及事务所转制等因素的影响。检验还发现,与同行公司共享审计师合作关系网络能够促进审计效率的提升,且不会造成客户信息的泄露。上述研究结论证实了与同行公司共享审计师合作关系网络会对会计信息可比性产生积极影响,拓展了审计团队领域以及事务所治理的相关研究文献,对保障和提升审计师的执业质量具有一定的启示意义。

全过程咨询模式下的信息共享影响因素研究

本文用SNA法(社会网络分析法)对全过程工程咨询模式下信息共享的影响因素进行研究。先在现有研究的基础上整理归纳出26个影响双方信息共享的因素,再通过问卷调查收集数据,借助SPSS软件将其归纳为环境、经济、风险、协同四类,然后通过Ucinet软件从宏观层面的网络密度、k-核指标分析和微观层面的度数中心度、中间中心度、接近中心度分析,最终确定了关键影响因素,对全过程工程咨询模式的推广与建筑业信息化发展有重要参考价值。

机场协同决策的应用历史与研究趋势综述

机场协同决策可以有效提升机场的运行效率,进而提升整个民航运输网络的运行效率。本文查阅并整理了机场协同决策的相关标准、政策文件与研究论文,梳理了机场协同决策的发展历程以及国内外学术界、工业界有关协同决策的研究及应用现状;分析讨论了机场协同决策未来的发展趋势与当前时期协同决策所面临的挑战;基于我国的实际情况,给出了一些机场协同决策的发展建议;总结了机场协同决策的理论与应用价值以及协同决策在我国面临的问题与挑战。本文研究为提升机场与整个航空交通网络的运行效率与经济效益提供了理论支撑和依据。

美国网络安全信息公私共享模式转型及启示

[研究目的]网络安全信息公私共享是维护网络安全的重要举措。美国是世界上最早进行网络安全信息公私共享的国家,现已形成较为完善的制度体系和运行模式,可为我国网络安全信息公私共享制度完善提供借鉴。[研究方法]通过文本分析法、案例研究法和历史研究法,系统研究了美国网络安全信息公私共享模式的演化历程、自愿共享模式的困境和强制共享模式的实现路径。[研究结论]自愿共享模式存在信息共享不足、情报质量不高、运行绩效不佳等局限,难以适应日趋复杂的网络安全环境,应通过强化政府监管,将自愿共享模式转变为强制共享模式。

基于临床医疗科研信息共享系统中医病-证-中药关联分析方法的研究

目的：基于临床医疗科研信息共享系统，以慢性阻塞性肺疾病急性加重（AECOPD）病-证-中药研究为示范，探索建立-套中医多病种病-证-中药研究方法，指导临床实践。方法：利用我院临床医疗科研信息共享系统构建数据库（数据来自2011年8月～2013年3月间5000份格式化电子病历），数据预处理，运用水晶报表及复杂网络进行数据挖掘，获取AECOPD病-证-中药的频度关系，分析AECOPD不同证型临床用药特点。结果：痰热壅肺、痰瘀阻肺、肺肾气虚3个证候对应的中药均有甘草、陈皮、地龙、紫苏子、黄芩、红花等，痰热壅肺证除有清热、化痰药还有活血药，肺肾气虚证除有益气补肺肾药外兼有活血化痰药。结论：利用临床共享系统可用于临床大数据的处理，挖掘的结果可用于指导临床实践，为中医临床科研提供很好的平台。

基于XML-VRML的三维模型可视化系统

通过网络实现产品信息共享和对产品提供可视化服务,是协同设计与制造的基础。本文分析了STEP、XML在几何数据描述表达上及VRML在产品可视化上的特点和优点,构造了一个基于B/W/D结构的、能提供可视化服务的三维浏览系统,为协同团队成员之间提供了直观、简洁的交流方式。本系统可为异构软硬件平台下产品设计信息的集成与共享提供一种有效途径,可大幅度减少设计数据的传输量,实现基于WEB的三维产品信息共享与可视化。

基于改进密度峰值算法的轨迹聚类

为解决用户群体移动轨迹划分和密度峰值聚类算法自身局限性的问题,以校园轨迹为对象,考虑时间和位置语义信息层面的信息,建立网络用户间的相似性度量模型,提出一种基于共享近邻贡献度的密度峰值聚类算法(density peak clustering based on shared nearest neighbor contribution,SNNC-DPC),结合信息熵理论,通过最小化局部密度熵自适应选择截断距离;在局部密度计算上,利用共享近邻贡献度重新计算局部密度,更加全面地反映数据分布的特性;采用非线性变换方法选取决策值,解决聚类中心选取困难且方法单一的问题。在真实校园轨迹数据集上实验,验证了改进算法的有效性。

专利审查国际协作制度的特征研究--基于PPH的模式

基于专利审查信息共享的专利审查国际协作制度能加速审查,有效缓解审查积压,在全球得到了广泛的运用。专利审查高速路(PPH)是目前信息共享程度较深且使用较为普遍的协作模式。通过对其发展模式的分析可以得出,审查信息共享为本质特征;协议模式与构建平台的多元性、审查体系成员的广泛性、审查制度与审查体系的虚拟重构、体系的"共时性"与制度的"历时性"显现为专利审查国际协作制度的新特征。对于我国的专利审查体制而言,需要深刻理解和把握当今专利审查国际协作的新变化和新发展,积极融入到全球的专利审查网络之中。

解决三元渠道网络中的代理问题:制造商“跨桥”治理机制的治理效果

为解决营销渠道中的代理问题,学界探索了一系列有效的治理机制来规范二元渠道关系,但针对二元渠道关系的治理机制无法解决三元渠道关系网络中的代理问题。文章依托代理理论,以三元渠道网络为分析单位,在以往研究基础上进一步实证检验制造商“跨桥”治理机制的双重治理效果和制造商市场地位的调节作用。研究结果表明,制造商“跨桥”治理机制具有“双刃剑”效应:当制造商的市场地位较低时,制造商“跨桥”治理机制具有促进与经销商间的信息共享的积极效果,但也具有降低经销商对制造商的承诺的消极效果,且这种消极效果在制造商的市场地位较高时得到强化。