基于盒维数与L-Z复杂度的雷达复合干扰特征提取方法

针对射频噪声信号和距离欺骗干扰信号的叠加、秉积和卷积3种形式复合的雷达复合干扰信号,提取了盒维数与L-Z复杂度特征,并对盒维数特征的抗噪性能进行了理论推导.通过仿真实验,求得了不同干噪比(Jam-ming-to-noise ratio,JNR)下的L-Z复杂度与盒维数特征分布.最后采用二维特征联合识别方法,对3种雷达复合干扰信号进行了识别,JNR为0 dB时识别概率达到85%以上.     

Error suppression techniques for energy-efficient high-resolution SAR ADCs

The successive approximation register (SAR) is one of the most energy-efficient analog-to-digital converter (ADC) architecture for medium-resolution applications. However, its high energy efficiency quickly diminishes when the target resolution increases. This is because a SAR ADC suffers from several major error source, including the sampling kT/C noise, the comparator noise, and the DAC mismatch. These errors are increasing hard to address in high-resolution SAR ADCs. This paper reviews recent advances on error suppression techniques for SAR ADCs, including the sampling kT/C noise reduction, the noise-shaping (NS) SAR, and the mismatch error shaping (MES). These techniques aim to boost the resolution of SAR ADCs while maintaining their superior energy efficiency.     

基于运动蓄电的智能温控衣设计

针对目前市场上的温控衣只能通过市电充电,导致在寒冷的边疆等充电不便的条件下不能长时间使用的现状,设计了一种能运动蓄电、手机调温的智能温控衣。运动蓄电采用人体运动切割磁感线,产生电能给蓄电池充电;手机调温采用蓝牙通信技术,实现温控衣与智能手机的通信;STM32芯片作为控制核心,利用增量式PID算法使温控衣的温度始终保持在用户所设定的温度。测试结果表明,当运动速度达到2m/s(>2m/s)时,机械能转换电能的效率达到(超过)电源适配器充电的效果,解决了温控衣仅依赖市电充电的问题。     

基于InTouch组态软件的变电站自动化监控系统

介绍了Invensys旗下Wonderware公司的HMI产品InTouch在变电站监控系统中的应用.     

燃气安装成本控制管理

目前燃气管网的安装是燃气公司的重要收入,但安装成本也是公司的重要支出,如何控制安装成本提高资金利用率和投资回收率是每个燃气公司面临的重要课题.本文将从设计、施工、材料、质量等方面探讨安装成本的控制管理.     

确保FF现场总线仪表系统开车一次成功的重要措施

信息化、数字化、网络化,已与人们的日常生活息息相关,倍受青睐。在化工厂实现网络化管理、信息化管理是工业企业发展的趋势,基于基金会现场总线技术的自控仪表在石油化工装置以其独特的技术上的特点和其它诸多的优越性,在化工自动化控制领域占据了很重要的位置。为此,在新技术、新材料、新工艺的使用上,更要认真对待,在施工的各个环节中如何确保现场总线仪表系统的正常运行尤为关键。     

一个基于博弈学习的多主体竞价模型

根据多主体撮合交易模型,把整个撮合交易看成各交易主体的动态交互过程,设计了基于Multi-Agent的电子商务交易市场中交易主体动态竞价策略,提出了博弈学习的概念,并建立了基于博弈学习的动态竞价模型,根据撮合密度的定义,分析了所建立模型的性能和效率,试验表明,基于博弈学习的多主体动态竞价模型使多主体撮合交易系统具有一定的自均衡和自学习能力和良好的交易性能。     

Distortions and tensile properties of 15-5PH steel cylinders with EBW and heat treatment

15-5PH steel is one of the martensitic precipitation-hardened stainless steels, which is extensively applied in the aero shafts, and electron beam welding is a significant procedure to manufacture the parts. To verify the dimension accuracies and properties, EBW with oscillation was employed on the cylinders of 15-5PH steel. The welding distortions were measured, and the microstructures and tensile properties of the joints were investigated. The weld appearances of the cylinders were smooth, and the morphology was parallel. After EBW, the shrinkages of the cylinders were above ?0.22?mm, and the welding distortions were ?0.66 to ?1.1‰, and the straightnesses were less than 1‰ due to the distortions. The martensites and a few austenites were in the welds of the cylinders after heat treatment, and the microhardnesses in the welds were 445 HV0.2, which were bigger and more homogeneous than those of the as-welded. The tensile strength and yield strength of the joints were respectively 1300 and 1150?MPa, which were higher than those of the as-welded joints, and the elongation rate of the joints was 10%. The microstructures and properties of the cylinders conformed to the aero shafts, which was attributed to the microstructure transformation with oscillation EBW and heat treatment.     

MicroRNAs as Potential Biomarkers in the Differential Diagnosis of Lipomatous Tumors and Their Mimics

Adipocytic tumors are the most common subtype of soft tissue tumors. In current clinical practice, distinguishing benign lipomas from well-differentiated liposarcomas (WDLPS), as well as dedifferentiated liposarcomas (DDLPS) from their morphologic mimics, remains a significant diagnostic challenge. This is especially so when examining small biopsy samples and without the aid of additional ancillary tests. Recognizing the important role that microRNAs (miRNAs) play in tumorigenesis and their potential utility in tumor classification, we analyzed routine clinical tissue samples of benign and malignant lipomatous tumors, as well as other sarcoma mimics, to identify distinguishing miRNA-based signatures that can aid in the differential diagnosis of these entities. We discovered a 6-miRNA signature that separated lipomas from WDLPS with high confidence (AUC of 0.963), as well as a separate 6-miRNA signature that distinguished DDLPS from their more aggressive histologic mimics (AUC of 0.740). Functional enrichment analysis unveiled possible mechanistic involvement of these predictive miRNAs in adipocytic cancer-related biological processes and pathways such as PI3K/AKT/mTOR and MAPK signaling, further supporting the relevance of these miRNAs as biomarkers for adipocytic tumors. Our results demonstrate that miRNA expression profiling may potentially be used as an adjunctive tool for the diagnosis of benign and malignant adipocytic tumors. Further validation studies are warranted.