构建高校思想政治教育网络预警机制研究

网络技术的发展与普及使大学生思想政治教育面临严峻挑战和重要机遇。高校应充分利用网络匿名性、平等性和及时性的特点，从完善网络预警领导管理运行体制，加强网络预警队伍结构建设，优化网络预警信息收集系统，改进网络预警决策评估体系四个方面构建高校思想政治教育网络预警机制，从而改变高校思想政治教育被动滞后的局面，提高教育的前瞻性、针对性和时效性。     

基于区块链的食品冷链质量安全信息平台构建

目的 研究区块链技术在食品安全领域,尤其是在生鲜食品冷链物流质量安全监测中的具体应用,以加强食品质量安全管理,提高食品冷链供应链效益.方法 分析生鲜食品冷链物流质量安全管理的薄弱环节,论证区块链技术的食品冷链质量安全监测适用性基础上,以区块链为底层技术构建食品冷链质量安全信息平台,研究区块链技术的创新应用对食品冷链质量安全管理的提升效果.结果 应用区块链技术构建了数据统一、运营高效的生鲜食品冷链质量安全信息平台,对食品质量安全信息进行了实时采集,实现了质量安全风险即时预警、质量安全问题有效溯源,有助于重塑食品质量安全生态系统.结论 区块链作为分布式账本、数字签名、溯源存证等一系列核心技术的组合,基于区块链技术创建食品冷链质量安全信息平台,能够强化微生物污染监测、缩短食品冷链在途时间,并使质量安全问题得到有效追踪溯源,对于加强食品质量安全管理、促进生鲜食品供应链优化有重要意义.     

网络信息安全防护理论与方法

以网络信息安全防护理论为研究对象,从网络安全防护工作的研究现状、发展趋势、相关应用技术以及未来的发展趋势这几个方面入手,对其进行较为详细的分析与阐述,并据此论证从理论与方法两个方面做好网络信息安全防护工作在推动网络技术与应用系统又好又快发展过程中所起到的至关重要的作用与意义。     

网络通信安全及安全防御措施

随着信息技术的不断发展,网络信息的安全问题也受到了威胁。本文主要从网络信息安全的定义、影响因素、防御措施几个方面进行阐述,希望可以一定程度的提升我国网络信息的安全程度。     

关于网络通信安全及其安全防御措施的探讨

随着信息技术的不断发展,网络信息的安全问题也受到了威胁。本文主要从网络信息安全的定义、影响因素、防御措施几个方面进行阐述,希望可以一定程度的提升我国网络信息的安全程度。     

移动Ad Hoc网络安全分析

本文首先根据移动Ad Hoc网络的特点,分析了其自身的安全隐患;然后从可用性、机密性、完整性、可控性和不可否认性五个方面描述了移动Ad Hoc网络的安全目标,为相关的安全技术研究提供理论和现实依据.     

我国政府网络系统面临的安全分析

认真分析目前我国政府网络信息存在的安全问题和面临的风险,并从安全防范的角度出发对网络攻击了进行研究.     

对3G通信网络安全的探讨

随着3G通信网络的发展和普及,人们在享受多种信息服务的同时,通信网络的安全性将变得越来越重要。本文对3G通信网络的安全要求、安全技术及安全漏洞等方面进行探讨。     

网络外卖食品质量安全监管博弈研究

随着网络外卖市场的快速发展,外卖食品质量安全问题逐渐成为全社会的关注焦点。本文构建了外卖平台与商家食品质量安全演化博弈模型,讨论了不同条件下系统的演化稳定策略,并运用Matlab软件进行了数据仿真分析,研究发现：政府监管能够有效促进网络外卖食品质量安全水平的提升,然而目前我国尚未建立起与网络外卖这一新业态相适应的食品质量安全监管机制,因此政府应在网络外卖食品安全监管中发挥更为积极的作用;口碑传播效应对于提升网络外卖食品质量安全水平具有重要作用,随着口碑传播效应的逐渐增强,将促进网络外卖食品质量安全向好发展。     

浅谈我国小作坊食品质量安全保障机制

本文从政府监管、舆论和中介机构第三方监督、企业自律、消费者意识四个方面对我国小作坊食品质量安全的现状进行了分析,并提出了几点建议,以加快完善我国的小作坊食品质量安全保障机制。     

电磁驱动分置式斯特林制冷机综合网络模型

根据系统动力学建立了电磁驱动分置式斯特林制冷机整机的综合网络模型。该模型综合分析了电磁驱动分置式斯林特制冷机的流体网络，热声网络以及机电网络的有关研究成果，并加以完善，比较全面地反映了电磁驱动分置式斯林制冷机各个方面的动态特性，以此为基础编制的制冷机整机仿真程序，为分置式斯林特林制冷机的整机优化设计，离线调机，在线控制等行为提供了依据。     

Modelling photosystem I as a complex interacting network

In this paper, we model the excitation energy transfer (EET) of photosystem I (PSI) of the common pea plant Pisum sativum as a complex interacting network. The magnitude of the link energy transfer between nodes/chromophores is computed by Forster resonant energy transfer (FRET) using the pairwise physical distances between chromophores from the PDB 5L8R (Protein Data Bank). We measure the global PSI network EET efficiency adopting well-known network theory indicators: the network efficiency (Eff) and the largest connected component (LCC). We also account the number of connected nodes/chromophores to P700 (CN), a new ad hoc measure we introduce here to indicate how many nodes in the network can actually transfer energy to the P700 reaction centre. We find that when progressively removing the weak links of lower EET, the Eff decreases, while the EET paths integrity (LCC and CN) is still preserved. This finding would show that the PSI is a resilient system owning a large window of functioning feasibility and it is completely impaired only when removing most of the network links. From the study of different types of chromophore, we propose different primary functions within the PSI system: chlorophyll a (CLA) molecules are the central nodes in the EET process, while other chromophore types have different primary functions. Furthermore, we perform nodes removal simulations to understand how the nodes/chromophores malfunctioning may affect PSI functioning. We discover that the removal of the CLA triggers the fastest decrease in the Eff, confirming that CAL is the main contributors to the high EET efficiency. Our outcomes open new perspectives of research, such comparing the PSI energy transfer efficiency of different natural and agricultural plant species and investigating the light-harvesting mechanisms of artificial photosynthesis both in plant agriculture and in the field of solar energy applications.     

信息网络--现代信息工程学的前沿

信息网络正在各地迅猛崛起,并以史所罕见的规模和速度生长成为世界性社会基础结构,深刻地改变着人们的生产方式、工作方式、学习方式、交往方式、生活方式和思维方式,成为工程学界以至整个社会普遍关注的集点、热点和前沿。文章旨在从理论上廓清信息网络的概念,阐明为什么信息网络对于科学技术的进步、对于世界经济和人类社会的发展能够产生如此巨大和深远的作用与影响。在此基础上,论述信息网络在现代工程学中的作用与地位,以及信息网络工程学在当前的主要研究内容和方向。     

快速以太校园网结构设计研究

目的 研究适用于切实可行的、符合校园网络技术发展的快速以太校园网络结构。方法 通过需求分析寻找网络传输瓶颈，分析相关以太网技术。结果与结论 提出一种快速以太校园网络结构，这种结构能够满足校园网信息传输需求。     

移动SCP的研究与实现

提出了移动智能网近期实现应分两步走,分析了这两步所对应的技术方案。采用移动智能网近期实现第一步技术方案,可以完成移动网内的智能业务及其实现方法的研究。目前已实现移动ＳＣＰ的开发。     

Software-Defined Space-Air-Ground Integrated Network Architecture with the Multi-Layer Satellite Backbone Network

Under the background of the rapid development of ground mobile communication, the advantages of high coverage, survivability, and flexibility of satellite communication provide air support to the construction of space information network. According to the requirements of the future space information communication, a software-defined Space-Air-Ground Integrated network architecture was proposed. It consisted of layered structure satellite backbone network, deep space communication network, the stratosphere communication network and the ground network. The SpaceAir-Ground Integrated network was supported by the satellite backbone network. It provided data relay for the missions such as deep space exploration and controlled the deep-space spacecraft when needed. In addition, it safeguarded the anti-destructibility of stratospheric communication and assisted the stratosphere to supplement ground network communication. In this paper, algorithm requirements of the congestion control and routing of satellite backbone protocols for heterogeneous users’ services were proposed. The algorithm requirements of distinguishing different service objects for the deep space communication and stratospheric communication network protocols were described. Considering the realistic demand for the dynamic coverage of the satellite backbone network and node cost, the multi-layer satellite backbone network architecture was constructed. On this basis, the proposed Software-defined Space-Air-Ground Integrated network architecture could be built as a large, scalable and efficient communication network that could be integrated into space, air, and ground.     

Central Aggregator Intrusion Detection System for Denial of Service Attacks

Vehicle-to-grid technology is an emerging field that allows unused power from Electric Vehicles (EVs) to be used by the smart grid through the central aggregator. Since the central aggregator is connected to the smart grid through a wireless network, it is prone to cyber-attacks that can be detected and mitigated using an intrusion detection system. However, existing intrusion detection systems cannot be used in the vehicle-to-grid network because of the special requirements and characteristics of the vehicle-to-grid network. In this paper, the effect of denial-of-service attacks of malicious electric vehicles on the central aggregator of the vehicle-to-grid network is investigated and an intrusion detection system for the vehicle-to-grid network is proposed. The proposed system, central aggregator–intrusion detection system (CA-IDS), works as a security gateway for EVs to analyze and monitor incoming traffic for possible DoS attacks. EVs are registered with a Central Aggregator (CAG) to exchange authenticated messages, and malicious EVs are added to a blacklist for violating a set of predefined policies to limit their interaction with the CAG. A denial of service (DoS) attack is simulated at CAG in a vehicle-to-grid (V2G) network manipulating various network parameters such as transmission overhead, receiving capacity of destination, average packet size, and channel availability. The proposed system is compared with existing intrusion detection systems using different parameters such as throughput, jitter, and accuracy. The analysis shows that the proposed system has a higher throughput, lower jitter, and higher accuracy as compared to the existing schemes.     

两种神经网络模型在材料领域中的应用

简要介绍了基于BP反向误差传播算法和自组织特征映射算法的神经网络模型的基本原理和在材料领域中的应用。     

网络时代的三大基本定律与骨干网容量的演进

文章首先分析了新时期的巨大挑战及其对网络的深远影响,特别指出了网络面临的巨大容量压力。接下来分别就主宰网络时代的三个基本定律：摩尔定律、光纤定律和迈特卡尔夫定律的内涵、影响和技术极限进行了论述。最后探讨了骨干网传输链路、传送节点和业务节点的容量演进策略。     

Deterministic global optimization approach to steady-state distribution gas pipeline networks

Natural gas is normally transported through a vast network of pipelines. A pipeline network is generally established either to transmit gas at high pressure from coastal supplies to regional demand points (transmission network) or to distribute gas to consumers at low pressure from the regional demand points (distribution network). In this study, the distribution network is considered. The distribution network differs from the transmission one in a number of ways. Pipes involved in a distribution network are often much smaller and the network is simpler, having no valves, compressors or nozzles. In this paper, we propose the problem of minimizing the cost of pipelines incurred by driving the gas in a distribute non-linear network under steady-state assumptions. In particular, the decision variables include the length of the pipes’ diameter, pressure drops at each node of the network, and mass flow rate at each pipeline leg. We establish a mathematical optimization model of this problem, and then present a global approach, which is based on the GOP primal-relaxed dual decomposition method presented by Visweswaran and Floudas (Global optimization in engineering design. Kluwer book series in nonconvex optimization and its applications. Kluwer, Netherlands, 1996), to the optimization model. Finally, results from application of the approach to data from gas company are presented.