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试论构建新能源汽车废旧锂电池回收利用体系

工业安全与环保 2024年第3期50卷 98-102页

作者：龙宇娟庄越武汉理工大学安全科学与应急管理学院湖北武汉430070

基于我国废旧锂电池回收现状,从政策、技术标准、回收流程和回收模式等方面探讨建立废旧锂电池回收利用体系,结果表明:废旧锂电池回收利用体系可由政府监管部门、回收利用溯源公共平台和产业联盟构成;政府部门组成监管体系,维持回收利... 详细信息

基于我国废旧锂电池回收现状,从政策、技术标准、回收流程和回收模式等方面探讨建立废旧锂电池回收利用体系,结果表明:废旧锂电池回收利用体系可由政府监管部门、回收利用溯源公共平台和产业联盟构成;政府部门组成监管体系,维持回收利用体系的运转;回收利用溯源公共平台实现体系内数据信息的畅通;产业联盟作为回收主体,保证回收链条完整性,降低回收利用行业风险。

关键词：废旧锂电池回收现状产业联盟回收利用体系

基于24Model的重特大道路交通事故致因网络分析

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交通工程 2024年第6期24卷 54-59,74页

作者：刘珊珊庄越武汉理工大学安全科学与应急管理学院武汉430070 武汉理工大学中国应急管理研究中心武汉430070

为探究导致重特大道路交通事故的致因因素及其演化关系,运用24Model分析收集的62起重特大道路交通事故调查报告,从不安全动作因素、不安全物态因素、个体安全能力、管理体系因素、安全文化因素以及外部环境因素6类因素展开分析,确定了5... 详细信息

为探究导致重特大道路交通事故的致因因素及其演化关系,运用24Model分析收集的62起重特大道路交通事故调查报告,从不安全动作因素、不安全物态因素、个体安全能力、管理体系因素、安全文化因素以及外部环境因素6类因素展开分析,确定了53个致因因素,进一步构建重特大道路交通事故致因网络,并分析该网络模型的相关拓扑特征指标,结果表明:安全知识不足,安全意识淡薄,安全习惯不佳,心理状态不佳等10项致因因素中心性较高,处于社会网络核心位置,易于诱发其他致因因素,网络的平均路径长度以及网络直径较小,这表明该致因网络具有小世界性,进一步分析社会网络边权占比,得到了1条致因因素关键影响路径,针对关键致因因素及路径进行协同控制对预防重特大道路交通事故发生具有重要意义。

关键词： 24Model 重特大道路交通事故社会网络分析事故致因因素

Sample based 3D face reconstruction from a single frontal image by adaptive locally linear embedding

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2007年第4期8卷 550-558页

作者： ZHANG Jian zhuang yue-ting School of Computer Science and Technology Zhejiang University Hangzhou 310027 China

In this paper, we propose a highly automatic approach for 3D photorealistic face reconstruction from a single frontal image. The key point of our work is the implementation of adaptive manifold learning approach. Beforehand, an active appearance model (AAM) is trained for automatic feature extraction and adaptive locally linear embedding (ALLE) algorithm is utilized to reduce the dimensionality of the 3D database. Then, given an input frontal face image, the corresponding weights between 3D samples and the image are synthesized adaptively according to the AAM selected facial features. Finally, geometry reconstruction is achieved by linear weighted combination of adaptively selected samples. Radial basis function (RBF) is adopted to map facial texture from the frontal image to the reconstructed face geometry. The texture of invisible regions between the face and the ears is interpolated by sampling from the frontal image. This approach has several advantages: (1) Only a single frontal face image is needed for highly automatic face reconstruction; (2) Compared with former works, our reconstruction approach provides higher accuracy; (3) Constraint based RBF texture mapping provides natural appearance for reconstructed face.

关键词： Face reconstruction Manifold learning RBF interpolation. Reconstruction error rate

自我系统模型视域下高职学生学习投入的影响因素及提升策略研究

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常州信息职业技术学院学报 2024年第3期23卷 56-61页

作者：庄月刘雅峰常州信息职业技术学院江苏常州213164

以自我系统模型为视角,在厘清学习投入的概念内涵基础上,指出高职学生学习投入的内外部影响因素。通过对相关文献的梳理,从学习投入、学习环境、学习成果三个方面分析了高职学生学习投入的现状及问题,并有针对性地围绕问题,提出了提升... 详细信息

以自我系统模型为视角,在厘清学习投入的概念内涵基础上,指出高职学生学习投入的内外部影响因素。通过对相关文献的梳理,从学习投入、学习环境、学习成果三个方面分析了高职学生学习投入的现状及问题,并有针对性地围绕问题,提出了提升高职学生学习投入的策略,包括关注并引导学生学习投入的方向;完善学习支持系统,提高学生学业自我概念;细化学习成果,引入多元评价方式。

关键词：自我系统模型高职学生学习投入影响因素

Data-driven digital entertainment: a computational perspective

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Journal of Zhejiang University-Science C(Computers and Electronics) 2013年第7期14卷 475-476页

作者： yue-ting zhuang Zhejiang University

Today massive collections of data can be obtained across different sources (or domains), e.g., the depth data from Kinect, the geometrical data from scanning devices, the imagery/video data from cameras, and the motion data from mocap devices. Since heterogeneous data may have different discriminative powers and are intrinsically complementary for certain tasks, it is desirable to leverage all

关键词：扫描装置异构数据数字娱乐几何形状数据集合深度数据几何数据视频数据

高效液相色谱-串联质谱法同时测定药品中奈玛特韦等5种小分子抗病毒药物

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分析科学学报 2024年第1期40卷 65-69页

作者：庄玥黄艳婷蔡霞邱蕴绮罗卓雅广东省药品检验所国家药品监督管理局药品快速检验技术重点实验室广东广州510663

建立了一种同时检测奈玛特韦、利托那韦、莫诺拉韦、奥司他韦和达卡他韦5种小分子抗病毒药物的高效液相色谱-质谱分析方法。样品经甲醇溶解超声提取后,经CNWShell C18 Core-Shell色谱柱(100×2.1 mm,2.6μm)分离,以0.1%甲酸水溶液和甲... 详细信息

建立了一种同时检测奈玛特韦、利托那韦、莫诺拉韦、奥司他韦和达卡他韦5种小分子抗病毒药物的高效液相色谱-质谱分析方法。样品经甲醇溶解超声提取后,经CNWShell C18 Core-Shell色谱柱(100×2.1 mm,2.6μm)分离,以0.1%甲酸水溶液和甲醇为流动相,梯度洗脱,电喷雾正离子模式下,同时采用多反应监测(MRM)和二级全扫(MS^(2))模式扫描分析。5种抗病毒药物在一定浓度范围内线性良好;检出限(S/N=3)为0.15~0.5μg/g;定量限(S/N=10)为0.5~1.2μg/g;加标平均回收率为90.0%~97.4%,精密度(n=6)均小于5%。采用本方法对10份样品进行测定,发现7份样品不含标示的有效成分奈玛特韦,有效成分利托那韦含量远低于标示含量,且检出奥司他韦或达卡他韦等非法添加化学成分。所建立方法灵敏、快速、可靠,可用于药品制剂中5种抗病毒药物的定性及定量分析。

关键词：高效液相色谱-串联质谱奈玛特韦抗病毒仿制药非法添加

Synthesizing style-preserving cartoons via non-negative style factorization

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Journal of Zhejiang University-Science C(Computers and Electronics) 2012年第3期13卷 196-207页

作者： Zhang LIANG Jun XIAO yue-ting zhuang Institute of Artificial Intelligence School of Computer Science and TechnologyZhejiang UniversityHangzhou 310027China

We present a complete framework for synthesizing style-preserving 2D cartoons by learning from traditional Chinese cartoons. In contrast to reusing-based approaches which rely on rearranging or retrieving existing cartoon sequences, we aim to generate stylized cartoons with the idea of style factorization. Specifically, starting with 2D skeleton features of cartoon characters extracted by an improved rotoscoping system, we present a non-negative style factorization （NNSF） algorithm to obtain style basis and weights and simultaneously preserve class separability. Thus, factorized style basis can be combined with heterogeneous weights to reynthesize style-preserving features, and then these features are used as the driving source in the character reshaping process via our proposed subkey-driving strategy. Extensive experiments and examples demonstrate the effectiveness of the proposed framework.

关键词： Character cartoon Machine learning Cartoon synthesis

Content subscribing mechanism in P2P streaming based on gamma distribution prediction

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2007年第12期8卷 1983-1989页

作者： GUO Tong-qiang WENG Jian-guang zhuang yue-ting School of Computer Science Zhejiang University Hangzhou 310027 China

P2P systems are categorized into tree-based and mesh-based systems according to their topologies. Mesh-based systems are considered more suitable for large-scale lnternet applications, but require optimization on latency issue. This paper proposes a content subscribing mechanism （CSM） to eliminate unnecessary time delays during data relaying. A node can send content data to its neighbors as soon as it receives the data segment. No additional time is taken during the interactive stages prior to data segment transmission of streaming content. CSM consists of three steps. First, every node records its historical segments latency, and adopts gamma distribution, which possesses powerful expression ability, to express latency statistics. Second, a node predicts subscribing success ratio of every neighbor by comparing the gamma distribution parameters of the node and its neighbors before selecting a neighbor node to subscribe a data segment. The above steps would not increase latency as they are executed before the data segments are ready at the neighbor nodes. Finally, the node, which was subscribed to, sends the subscribed data segment to the subscriber immediately when it has the data segment. Experiments show that CSM significantly reduces the content data transmission latency.

关键词： P2P streaming Gamma distribution Content subscribing mechanism (CSM)

Audio steganalysis based on “negative resonance phenomenon” caused by steganographic tools

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2006年第4期7卷 577-583页

作者： RU Xue-min zhuang yue-ting WU Fei Institute of Artificial Intelligence Zhejiang University Hangzhou 310027 China

Researching on the impact different steganographic software tools have audio statistical features, revealed the phe- nomenon that when messages are embedded in a WAV file by using a certain tool, the variation of statistical features in the WAV file which already contains messages embedded by the same tool is abruptly smaller than those in which messages have not been embedded. We call it “negative resonance phenomenon” temporarily. With the phenomenon above and Support Vector Machines (SVMs), we can detect the existence of hidden messages, and also identify the tools used to hide them. As shown by the experi- mental results, the proposed method can be very effectively used to detect hidden messages embedded by Hide4PGP, Stegowav and S-Tools4.

关键词： Audio steganalysis Linear prediction Support Vector Machine (SVM)