AIGC技术趋势下智能设计的现状与发展

目的 当前人工智能生成内容技术（AIGC）已步入全方位商业化阶段,AIGC正在成为智能设计的核心支持手段。为提高设计效率和设计质量,顺应人工智能时代不断变化的复杂设计需求,对AIGC支持下的智能设计方法进行综述。方法 通过文献研究,对AIGC技术的基本原理和主要特点进行深入分析,归纳出基于数据挖掘与分析、知识推理与学习、算法演化与模拟的智能设计方法,并得出数据预处理、语境感知调谐、跨模态交互设计、模型构建与评估、动态化学习与反馈优化等AIGC支持下智能设计的关键步骤。结果 AIGC在工业设计流程迭代、传媒创作人机深度融合和娱乐交互方式研发等领域对智能设计方法的变革具有重大意义。结论 对AIGC技术支持下的智能设计方法进行展望,得出虚实结合下的智能化数字孪生设计、全球协同下的智能设计社会变革、隐私安全需求下的交互反馈模式设计3个方面的趋势。     

气相色谱-质谱法测定儿童餐具中芳香胺迁移量

目的 为了实现畜禽肉品在物流过程中的持续保鲜,保障畜禽肉品品质。方法 通过文献查阅和统计数据分析我国畜禽肉品的保鲜需求,研究畜禽肉品物流保鲜中存在的主要问题,提出解决畜禽肉品在物流过程中持续保鲜的对策。结果 从优化畜禽肉品物流链、构建畜禽肉品物流信息平台、提升畜禽肉品物流保鲜技术、推进畜禽肉品物流保鲜智慧化、完善冷链物流体系等6个方面提出了畜禽肉品在物流过程中持续保鲜的对策。结论 畜禽肉品关乎民生问题,需要从多个方面协同发展,以提升畜禽肉品物流过程中的保鲜水平,推进畜禽肉品在物流过程中持续保鲜。     

TPAAD: Two-phase authentication system for denial of service attack detection and mitigation using machine learning in software-defined network

Software-defined networking (SDN) has received considerable attention and adoption owing to its inherent advantages, such as enhanced scalability, increased adaptability, and the ability to exercise centralized control. However, the control plane of the system is vulnerable to denial-of-service (DoS) attacks, which are a primary focus for attackers. These attacks have the potential to result in substantial delays and packet loss. In this study, we present a novel system called Two-Phase Authentication for Attack Detection that aims to enhance the security of SDN by mitigating DoS attacks. The methodology utilized in our study involves the implementation of packet filtration and machine learning classification techniques, which are subsequently followed by the targeted restriction of malevolent network traffic. Instead of completely deactivating the host, the emphasis lies on preventing harmful communication. Support vector machine and K-nearest neighbours algorithms were utilized for efficient detection on the CICDoS 2017 dataset. The deployed model was utilized within an environment designed for the identification of threats in SDN. Based on the observations of the banned queue, our system allows a host to reconnect when it is no longer contributing to malicious traffic. The experiments were run on a VMware Ubuntu, and an SDN environment was created using Mininet and the RYU controller. The results of the tests demonstrated enhanced performance in various aspects, including the reduction of false positives, the minimization of central processing unit utilization and control channel bandwidth consumption, the improvement of packet delivery ratio, and the decrease in the number of flow requests submitted to the controller. These results confirm that our Two-Phase Authentication for Attack Detection architecture identifies and mitigates SDN DoS attacks with low overhead.     

剪切/振动耦合作用下连续流变轧制成形A2017合金组织演化及动态凝固(英文)

将振动倾斜板制浆技术与轧制技术有机结合,开发新型连续流变轧制成形技术,利用该技术制备A2017合金板材。研究连续流变轧制成形过程中A2017合金组织演化及动态凝固行为。结果表明,在振动倾斜板制浆过程中,由于倾斜板的强冷却及振动作用,熔体内部形核率较高,晶粒有两种长大方式:一是直接球形长大,二是先枝晶生长然后断裂球化,因此促进了球形晶和玫瑰晶的形成。在半固态浆料轧制过程中晶粒被拉长。随着浇注温度升高,晶粒尺寸逐渐变大。当浇注温度为650660°C时,可以制备表面形貌和内部组织较好的A2017合金板材,其内部组织主要由球形晶和玫瑰晶组成。     

Microstructure behavior and metal flow during continuously extending-extrusion forming of semisolid A2017 alloy

1 Introduction Semisolid metal forming process is a kind of near-net-shape technology and attracts attentions all over the world[1?4]. Most available semisolid processes involve several technical steps: manufacturing semisolid slurry, remelting of semisol…     

Measuring distribution performance? Benchmarking warrants your attention

Identifying, designing, and measuring performance metrics is critical to securing customer value, but can be a difficult task. This article examines the use of benchmarks based on publicly available performance data to set challenging, yet fair, metrics and targets.