Impinj的RFID技术有助于提高珠宝库存效率

近日,Impinj公司宣布,法国珠宝商CLEOR已实施Impinj的RFID技术,作为供应链解决方案的一部分,旨在提高库存准确性。这种RFID解决方案由Frequentiel     

含RFID芯片电路板产品明年上市

专注UHFRFID领域的公司Impinj总裁BillColleran称,首个含RFID芯片电路板的电子产品将于明年下半年上市。Impinj在与几家电子和微芯片制造商合作开发用于PCB板的芯片。     

依时利要造“中国芯”

在全球RFID市场,美国Impinj公司是绝对的统领者。不过最近,它正在接受一家东莞企业的“叫板”。作为一家在RFID读写器领域摸爬滚打十年的民营企业,东莞市依时利科技有限公司（以下简称“依时利”）正式宣布进军RFID电子芯片,欲通过研发出国产芯片,做中国RFID领域的Impinj。     

异域防伪

近日,超高频Gen 2 RFID技术的供应商Impinj公司宣布推出Indy R500 UHF读写器芯片.近日,英国的一个警察部门正在试行一套基于RFID的武器跟踪解决方案,这个方案由TAGSYS公司和RFIP有限公司开发.可保证军队、执法机构和其他机构的武器装备的安全.     

韩国RFCamp推出4款新型RFID标签

韩国首尔的RFID标签制造商RFCamp公司宣布推出4款新型RFID标签,能够克服传统RFID标签面临的三大困难：金属、高温和机械压力。这几款新标签能够承受高于204℃的高温,而且可以用在潮湿和机械振动的环境下。他们含有来自Impinj公司的EPC Gen2芯片,带有96位内存。     

MetalCraft公司推出升级版RFID挡风玻璃标签

Metalcraft公司宣布推出升级版EPC Gen 2超高频挡风玻璃标签,特点是采用KSW Microtec公司的风速嵌体,Impinj公司的Monza RFID芯片,以提高车辆的编码存储和访问控制。这款标准的挡风玻璃标签,大小为4英寸×1英寸,将其贴在挡风玻璃的内侧。标签为两面打印,分别为条形码和统一的标识或免责声明。     

Impinj推出Monza 4系列标签芯片

全球领先的第二代超高频射频识别（UHF Gen 2 RFID）技术供应商Impinj，Inc．于2010年2月24日宣布推出，Monza 4系列高级标签芯片，该芯片系列由Monza 4D、4E、4U和4QT四个高性能配置构成。Monza 4系列将业界最高的读写可靠性、扩展内存和创新的保密技术相结合，为需要快速实现射频识别投资回收和不断改进运行眭能的企业提供巨大效益。     

冷轧薄宽带钢局部型中浪瓢曲变形行为研究

针对薄宽带钢冷轧过程中易发多发的局部型中浪瓢曲缺陷,引入非均匀载荷宽度、弹性约束系数及平均张应力建立了屈曲变形的解析计算模型。应用能量最低原理对屈曲变形区域进行搜索求解,得到了局部型中浪屈曲临界条件(包括临界应力、屈曲波长和屈曲波宽),获得了其与非均匀载荷宽度、弹性约束系数、平均张应力的关系,并发现平均张应力是产生局部型中浪的重要影响因素。应用样条有限元方法对局部型中浪进行数值仿真分析,验证了屈曲解析计算方法的正确性。在实验轧机上进行了轧制研究,通过轧制获得了局部型中浪屈曲模态,对实验结果分析得到了相对应的屈曲临界条件,与解析法和样条有限元法结果基本吻合,证明了样条有限元计算方法与解析计算方法的正确性及其工程应用价值。     

A VIBRATION RECOGNITION METHOD BASED ON DEEP LEARNING AND SIGNAL PROCESSING

Effective vibration recognition can improve the performance of vibration control and structural damage detection and is in high demand for signal processing and advanced classification.Signal-processing methods can extract the potent time-frequency-domain characteristics of signals;however,the performance of conventional characteristics-based classification needs to be improved.Widely used deep learning algorithms(e.g.,convolutional neural networks(CNNs))can conduct classification by extracting high-dimensional data features,with outstanding performance.Hence,combining the advantages of signal processing and deep-learning algorithms can significantly enhance vibration recognition performance.A novel vibration recognition method based on signal processing and deep neural networks is proposed herein.First,environmental vibration signals are collected;then,signal processing is conducted to obtain the coefficient matrices of the time-frequency-domain characteristics using three typical algorithms:the wavelet transform,Hilbert-Huang transform,and Mel frequency cepstral coefficient extraction method.Subsequently,CNNs,long short-term memory(LSTM)networks,and combined deep CNN-LSTM networks are trained for vibration recognition,according to the time-frequencydomain characteristics.Finally,the performance of the trained deep neural networks is evaluated and validated.The results confirm the effectiveness of the proposed vibration recognition method combining signal preprocessing and deep learning.     

INFLUENCE OF DAMPING MODELS ON DYNAMIC ANALYSES OF A BASE-ISOLATED COMPOSITE STRUCTURE UNDER EARTHQUAKES AND ENVIRONMENTAL VIBRATIONS

Structural design simultaneously governed by earthquakes and environmental vibrations has received a lot of attention in recent years.Base-isolated composite structures are typically used in the above-mentioned structural design.The corresponding analysis involves validating structural safety under earthquakes and human comfort under environmental vibrations through a time-history analysis.Thus,a reasonable damping model is essential.In this work,the representatives of viscous damping model and rate-independent damping model,namely the Rayleigh damping model and uniform damping model,were adopted to investigate the influence of damping models on the time-history analysis of such structural designs.The energy dissipation characteristics of the above-mentioned damping models were illustrated via a dynamic test of recycled aggregate concrete specimens.A case study was performed on a base-isolated steelconcrete composite structure.The dynamic responses under the excitation of earthquakes and environmental vibrations were compared using different damping models.The uniform damping model was found to be more flexible than the Rayleigh damping model in dealing with excitations with different frequency components.The uniform damping model is both theoretically advantageous and easy to use,demonstrating its potential in dynamic analysis of structures designed simultaneously governed by earthquakes and environmental vibrations.