基于改进麻雀搜索算法的服务功能链优化映射算法

为了实现5G网络场景下服务功能链的低成本高效率部署,提出了一种基于改进麻雀搜索算法的服务功能链优化映射算法。在服务功能链映射过程中,采用双层编码方式,将服务请求的组链方案和映射方案进行混合编码,然后使用改进离散麻雀搜索算法进行求解,得到该请求的服务功能链部署方案,并计算其映射权重。当同一时间片内存在多个请求类型时,按照映射权重对所有服务功能链进行排序,优先映射权重高的请求,以此减少延迟开销,提高节点计算资源利用率和链路资源利用率。仿真结果表明,该算法可以有效减少部署开销,提高资源利用率。     

基于改进HBA算法的生鲜闭环供应链网络鲁棒优化设计

针对生鲜闭环供应链网络设计问题,建立了一种基于生鲜闭环供应链网络的鲁棒优化模型,以解决供应链网络中的不确定性问题。首先,针对涵盖五个节点的生鲜供应链网络结构建立了多周期、多产品,以最小化成本、最小环境影响为目标的混合整数规划模型,采用模糊折中规划与区间数据鲁棒优化方法进行处理;其次,在原有蜜獾算法的基础上引入差分进化原则,增强算法的全局搜索能力与收敛速度;最后,通过MATLAB数值分析与仿真实例表明,所提鲁棒优化模型与蜜獾算法在求解生鲜闭环供应链网络设计问题中具有明显优势。     

基于ECC-ZKP的农产品供应链可控身份管理与认证模型

基于区块链的农产品供应链中,当参与主体数量规模越来越大时,节点与企业之间的1：1匹配关系将造成节点数量众多,从而造成网络开销大、共识效率低等问题。针对这些问题,引入中间件使得节点与企业之间1：1关系变为1：n的关系,对所涉及到的企业身份管理以及相互之间的认证,提出一种基于ECC-ZKP（elliptic curve cryptosystem-zero—knowledge proof）的可控身份管理与认证模型,实现身份的可控管理和完成可信交易前所需要的身份认证。通过模型分析和仿真实验分析结果表明,该模型能够提供较高的安全性,能够有效进行身份的管理和认证,且节点与企业之间1：n关系相比较于1：1关系减少了网络开销并提高了共识效率。     

Transformation of semantic knowledge into simulation-based decision support

Simulation is capable to cope with the uncertain and dynamic nature of industrial value chains. However, in-depth system expertise is inevitable for mapping objects and constraints from the real world to a virtual model. This knowledge-intensity leads to long development times of respective projects, which contradicts the need for timely decision support. Since more and more companies use industrial knowledge graphs and ontologies to foster their knowledge management, this paper proposes a framework on how to efficiently derive a simulation model from such semantic knowledge bases. As part of the approach, a novel Simulation Ontology provides a standardized meta-model for hybrid simulations. Its instantiation enables the user to come up with a fully parameterized formal simulation model. Newly developed Mapping Rules facilitate this process by providing guidance on how to turn knowledge from existing ontologies, which describe the system to be simulated, into instances of the Simulation Ontology. The framework is completed by a parsing procedure for an automated transformation of this conceptual model into an executable one. This novel modeling approach makes model development more efficient by reducing its complexity. It is validated in a use case implementation from semiconductor manufacturing, where cross-domain knowledge was required in order to model and simulate the impacts of the COVID-19 pandemic on a global supply chain network.     

井下人员定位系统读卡器存储算法分析与测试

从查找时间与存储容量2个方面分析了适用于井下人员定位系统读卡器的3种存储算法,即链式存储算法、哈希表存储算法和哈希二叉树存储算法,给出了该3种不同存储算法的使用效率与应用场合。测试结果表明,链式存储算法查找时间呈线性增长,哈希表存储算法明显优越于链式存储算法,如果测试数据增多,其优越性会更明显;当数据量较大时,哈希搜索二叉树存储算法又明显优于哈希表存储算法,当人数达到行业所要求的8 000人以上时,选择哈希搜索二叉树存储算法更为合理。     

Transparency in complex dynamic food supply chains

Food supply chains are increasingly complex and dynamic due to (i) increasing product proliferation to serve ever diversifying and globalising markets as a form of mass customisation with resulting global flows of raw materials, ingredients and products, and (ii) the need to satisfy changing and variable consumer and governmental demands with respect to food safety, animal welfare, and environmental impact. Transparency in the food supply chain is essential to guarantee food quality and provenance to all users of food and food products. Intensified information exchange and integrated information systems involving all chain actors are needed to achieve transparency with respect to a multitude of food properties.In this paper, specific challenges of food supply chains are highlighted. Major elements are addressed that support transparency to consumers, the government and food companies, which are considered the claimants of transparency. Elements considered to be enablers of transparency are governance mechanisms, quality and safety standards and information exchange. The paper specifies these transparency claimants and enablers for food supply chains and identifies major information system functions and information technology applications needed to comply with transparency demands. It thereby provides a framework for transparency analysis in food supply chains.     

基于ZigBee和RFID技术的冷链无线监控系统

本文基于ZigBee和RFID技术,通过RFID标签和ZigBee组网,并结合远程网络传输技术,设计了食品冷链物流的温度无线实时监控系统。本系统使用无线电讯号识别特定目标并读写相关数据,具有低功耗、低成本和自组网的特点,可实现同时监控不同温度要求的蔬菜等食物品种。该冷链无线监控利用GPRS模块向冷链车报警,还能够最大限度的减少冷链物流运输过程中的损失。     

等温核酸放大技术在重金属检测方面的应用

等温核酸放大技术是一种可以实现重金属污染物痕量分析的高灵敏性检测方法,在分析检测中有着广泛且重要的作用。本文综述了几种不同的等温核酸放大技术及其在重金属检测方面的应用,阐述分析了各方法的检测原理,为之后建立更加灵敏、快速、准确的检测方法提供了参考。虽然等温核酸放大技术目前主要停留在实验室阶段,并且检测目标有限,但是由于该技术的高灵敏性、特异性以及与其他学科紧密的联系性,具有潜在的应用前景。     

基于马尔科夫链模型的小金川河流域径流形势预估分析[ 国家重点研发项目资助（2018YFB0905204）]

为了分析小金川河流域中长期径流形势,本文尝试利用马尔科夫链模型进行年径流形势预估,结合历史径流的丰枯变化,计算丰水年、平水年、枯水年相互转变的马尔科夫转移概率,在此基础上,可根据当年来水情况实现对木坡电站下一年径流形势的预估分析。以2018年木坡电站的丰枯形势预估为例,经验证,该径流形势预估分析方法具有较强的实用性,为径流形势预估分析提供了一种切实可行的思路和方法。     

The Importance of Free Fatty Chain Length on the Lipid Organization in the Long Periodicity Phase

The skin’s barrier ability is an essential function for terrestrial survival, which is controlled by intercellular lipids within the stratum corneum (SC) layer. In this barrier, free fatty acids (FFAs) are an important lipid class. As seen in inflammatory skin diseases, when the lipid chain length is reduced, a reduction in the barrier’s performance is observed. In this study, we have investigated the contributing effects of various FFA chain lengths on the lamellar phase, lateral packing. The repeat distance of the lamellar phase increased with FFA chain length (C20–C28), while shorter FFAs (C16 to C18) had the opposite behaviour. While the lateral packing was affected, the orthorhombic to hexagonal to fluid phase transitions were not affected by the FFA chain length. Porcine SC lipid composition mimicking model was then used to investigate the proportional effect of shorter FFA C16, up to 50% content of the total FFA mixture. At this level, no difference in the overall lamellar phases and lateral packing was observed, while a significant increase in the water permeability was detected. Our results demonstrate a FFA C16 threshold that must be exceeded before the structure and barrier function of the long periodicity phase (LPP) is affected. These results are important to understand the lipid behaviour in this unique LPP structure as well as for the understanding, treatment, and development of inflammatory skin conditions.