运算放大器类元器件板级应用验证装置设计

随着电子元器件国产化需求日益强烈及国产元器件研发水平逐步提高,国产化电子元器件在不同领域的应用越来越广泛。针对国内新研运算放大器类电子元器件在武器、航空、航天等特殊行业领域的装备上装应用的困难现状,依据应用验证专项工程在元器件研制过程通过器件级验证、板级验证,充分暴露元器件的问题,挑选出符合上装要求的元器件。本文基于应用验证工程中运算放大器类板级验证需求,设计开发了运算放大器类板卡验证装置,全面覆盖了运算放大器验证技术指标,具有通用、高效、可靠的特点。     

LDO在工程实践中的应用验证研究

随着国产元器件设计水平和制作工艺的提高,国产元器件与进口元器件的功性能差距日益减小,一些工程应用中的进口元器件完全可以实现国产化。从工程实践出发,服从于全面国产化的新时代要求,系统研究了开展国产低压差线性稳压器（LDO）器件应用验证时,应遵循的验证流程、可选择的验证项目,以及如何做出评价结论等内容,并重点探讨了LDO元器件级应用验证平台设计时,应注意的硬件设计问题和软件编程思想,为相关项目工程师开展国产LDO器件的应用验证工作打开了思路。     

国产核心电子器件在军用通信系统的应用验证方法研究

国产电子元器件经过最近十多年的高速发展,在设计、制造等方面取得了重大进步,但是在武器装备中,核心电子元器件国产化比例不高,仍然大量采用了进口电子元器件,严重影响了武器装备的自主保障能力.通过描述国产核心电子器件在模块、设备、系统层面的元器件应用验证流程及方法,通过规范国产核心电子器件应用评估方法,加速推动我国军事装备的...     

宇航元器件应用验证指标体系构建方法研究

通过分析宇航元器件应用验证指标体系的特点,建立了一套面向宇航元器件应用验证的指标体系构建方法,该方法分别应用专家遴选系统、头脑风暴法和德尔菲法,解决了宇航元器件应用验证指标体系构建中的专家遴选、因素识别和指标体系构建问题。最后,应用该方法建立了宇航元器件应用验证综合评价指标体系基本结构。     

宽禁带半导体器件环境适应性验证技术

应用验证是新型元器件走向实际工程应用必不可少的关键环节。从实际工程应用角度出发,给出了宽禁带半导体(SiC/GaN等)微波功率器件环境适应性验证过程中的验证分级(解决及时发现问题与验证周期、费用矛盾)、验证载体与工程应用统一性设计(器件研制源于工程、用于工程)、验证数据的可对比性设计(验证环节可追溯)方法及相关分析(指导工程设计),为宽禁带半导体微波功率器件的工程化研制提供数据支撑。文中的试验数据和设计思想可作为其他相关工程设计参考。     

宇航元器件应用验证指标体系构建方法研究

通过分析宇航元器件应用验证指标体系的特点,建立了一套面向宇航元器件应用验证的指标体系构建方法,该方法分别应用专家遴选系统、头脑风暴法和德尔菲法,解决了宇航元器件应用验证指标体系构建中的专家遴选、因素识别和指标体系构建问题。最后,应用该方法建立了宇航元器件应用验证综合评价指标体系基本结构。     

航空国产新研电子元器件应用瓶颈研究

针对目前国产新研电子元器件在航空型号中研多用少的问题,从立项需求、设计、工艺、检测覆盖率、参数体系、研制进度等方面深入分析了国产新研电子元器件在航空型号中应用的制约因素,研究了航空国产新研电子元器件的应用瓶颈,进而提出航空国产新研电子元器件的应用验证及国产化替代思路,这对促进国产新研电子元器件的自主可控,逐步完善航空型号用国产新研电子元器件应用体系具有指导作用。     

元器件板级应用验证方法研究

针对电子元器件板级应用场景复杂特点,提出板级应用验证的工作思路,构建板级应用验证流程,提出板级应用验证的难点,形成板级应用验证理论体系。     

军用电子元器件国产化质量保证研究

面对军用电子元器件国产化进程中的质量保证,结合实际元器件研制过程,研究了质量保证的组织管理、元器件研制、验证应选用4个关键环节,提出了元器件国产化研制质量保证的组织管理层面的3个维度,研制层面5个设计维度、 5个制造维度和3个测试维度,验证层面5个维度,选用层面3个维度,以及需要完成的相应质量保证措施,为军用元器件国产化研制的质量管理提供了借鉴和参考。     

基于需求工程的国产元器件应用验证技术研究

随着国内自主可控需求的日益强烈和国产元器件研制水平的不断提升,国产元器件会越来越广泛的得以在不同应用领域展开大量应用,针对国产元器件研制基础薄弱,不同行业、特别是航空、航天等特殊行业的特殊、高可靠应用场景,需按照要求、分门别类在国产元器件研制的过程中通过验证,充分暴露其有待改善的问题,最后通过应用验证挑选出适用应用需求的元器件。本文基于这样的现状提出了基于需求工程的国产元器件的应用验证思想,并阐述了验证中的具体技术和相关问题。     

Synergistic use of soft computing technologies for fault detection in gas turbine engines

In this paper, we present a synergistic approach to startup fault detection and diagnosis (FDD) in gas turbine engines. The method employs statistics, signal processing, and soft computing techniques in a complementary manner to address fault detection at transient conditions. Traditional turbine engine FDD methods are based on engine data collected at steady-state conditions. However, incipient faults are difficult to diagnose using steady-state engine data; only engine faults that are fairly developed can be detected using conventional methods. Because incipient engine component faults are often manifest in the engine startup characteristics, we present a method to characterize the engine transient startup. Engine sensor data during engine startup are recorded in time series format. The sensor profiles corresponding to "good" and "bad" engine startups are sampled using the bootstrap technique. A feature vector is extracted in two steps, and signal processing is followed by the feature vector selection. In the signal processing step, principal component analysis (PCA) is applied to reduce the samples consisting of sensor profiles into a smaller set. In the feature vector selection step, a cost function is defined, and important discriminating features for fault diagnosis are distilled from the PCA output vector. The features obtained from this step are then classified using neural-network-based methods. The "leave-one-out" approach to cross validation is applied to obtain an objective evaluation of the neural network training. The proposed FDD method is evaluated using actual engine startup data, and the results are presented.     

Preliminary,space focused,reliability tests on European GaN HEMTs

ESA is investing significant efforts towards developing a European, space qualified, GaN supply chain for microwave components. Numerous R&D projects have been completed, or are ongoing, that focus on areas such as epitaxial growth, transistor electrical performance and reliability enhancement, e.g. in projects such as GREAT². In order to perform independent verification and validation, ESA has also begun to modernise and re-equip its microwave component laboratory to augment the well established materials and component test capabilities. This paper describes the laboratory capabilities and provides some preliminary results and lessons learned from performing high temperature storage, hydrogen poisoning and DC step stress tests on European sourced GaN samples.     

面向对象系统中基于度量的可复用构件获取机制

从遗产系统代码中获取复用价值高、质量好的构件是成功复用的关键并且亟待解决．本文以系统理解和软件度量为基础，提出了一种从面向对象遗产系统中挖掘可复用构件的有效方法．设计了基于类之间关系分析的构件标识算法-RBCI；构造了构件可复用性模型KVCQ，它可用于辅助用户筛选识别出来的候选构件，该层次型模型的底层度量可以通过计算机自动获取；最后，基于RBCI和RMCQ设计并实现了工具JBCET，以辅助开发者从C 系统中获取高质量的可复用构件。     

A novel spectral microscope system: application in quantitative pathology

In this paper, a novel spectral microscope system is presented together with a method for the quantitative assessment of the uptake by histologic samples of stains used in pathology to label tissue features of diagnostic importance. The critical component of the microscope is a variable interference filter-based monochromator. The system is capable of performing real-time spectral imaging in a plurality of spectral bands and micro-spectroscopy in any image pixel, in the spectral range 400-1000 nm. The wavelength-tuning step is 2.4-2.6 nm, while the full-width at half maximum in each step is about 1.5% of the operating central wavelength. The developed system integrates algorithms and calibration procedures for the calculation of the stain-uptake by the tissue. The acquired spectra from both stained tissue and calibration stain solutions enable the calculation of the concentration maps of the stains, even if the latter are multiple and overlap spatially and spectrally. The system was used for the quantitative mapping of the expression of estrogen and progesterone receptors in breast cancer cells. In this particular case, model validation shows that although two stains are employed, capturing of their transmittance at more than ten wavelengths is required in order to obtain an acceptable accuracy. These findings highlight the need for the development and implementation of spectral microscopy in pathology and its potential to introduce novel more reliable diagnostic criteria.     

Weight spectrum evaluation for multi-binary tailbiting turbo codes

In this paper we propose a method for the evaluation of the weight spectrum of parallel concatenated turbo codes with tailbiting (circular) m-ary component codes. Our method is based on a two step evaluation; we search and store a set of error events for the component codes; then, we evaluate the spectrum of the concatenated code with the actual interleaver. When working with different interleavers, the first step is computed only once. We show some examples with rate 6/7 component codes.     

Toward a Product System Modularity Construct: Literature Review and Reconceptualization

Product modularity has been discussed in engineering and management literature for over forty years. During this time span, definitions and views on the meaning of product modularity proliferated to the extent that it is difficult to understand the essential traits of the concept. While definitional ambiguity is often a byproduct of academic debate, it hinders the advancement of scientific knowledge as well. This paper aims to move a step forward toward a more precise definition of product modularity, by articulating a product system modularity construct in the domain of tangible, assembled artifacts. More precisely, the paper constitutively defines product modularity in terms of component separability and component combinability. An indirect operational definition for product modularity is then proposed by operationalizing component separability and component combinability. The proposed definition is finally related to other definitional perspectives synthesized by a literature review: component commonality, function binding, interface standardization, and loose coupling. In this way, the nomological network of the product modularity construct is laid out. Construct validation activities are left to further research     

Using the Stochastic Collocation Method for the Uncertainty Quantification of Drug Concentration Due to Depot Shape Variability

Numerical simulations entail modeling assumptions that impact outcomes. Therefore, characterizing, in a probabilistic sense, the relationship between the variability of model selection and the variability of outcomes is important. Under certain assumptions, the stochastic collocation method offers a computationally feasible alternative to traditional Monte Carlo approaches for assessing the impact of model and parameter variability. We propose a framework that combines component shape parameterization with the stochastic collocation method to study the effect of drug depot shape variability on the outcome of drug diffusion simulations in a porcine model. We use realistic geometries segmented from MR images and employ level-set techniques to create two alternative univariate shape parameterizations. We demonstrate that once the underlying stochastic process is characterized, quantification of the introduced variability is quite straightforward and provides an important step in the validation and verification process.     

Analysis and simulation methods for performance evaluation of a multiple networked embedded architecture

This paper deals with the modeling and the validation of multiple networked embedded computer systems supporting in-vehicle applications. In this context, the authors developed a modular modeling and simulation technique. This approach allowed the development of reusable component models with clearly defined interfaces. The building of a whole application model is then obtained by the integration of these components, so that model construction and result analysis are made easy. In fact, thanks to the formal definition of components, interfaces, and composition rules, this step is automatically achieved. In the context of the CAROSSE project, we implemented this methodology in the Carosse-Perf tool. Herein, the authors detail the methodology together with its modeling principles and the resulting definition of basic components and interfaces. Finally, they apply it to a case study drawn from a PSA Peugeot-Citroen application.     

RECURSIVE FILTERING RADON—AMBIGUITY TRANSFORM ALGORITHM FOR DETECTING MULTI—LFM SIGNALS

In multi-LFM signal condition,Radon-Ambiguity Transform(RAT) of the strong LFM component has strong suppression effect on that of the weak LFM component.A method named as Recursive Filtering RAT(RFRAT) algorithm is proposed for solving this problem.By fully using of the Maximum Likelihood(ML) estimation value of the frequency modulation rate got by RAT.RFRAT can detect the noisy multi-LFM signals out step by step.The merit of this new method is validated by an illustrative example in low Signal-to-Noise-Ratio(SNR)condition.     

基于FPGA的芯片功能性验证自动化实现

针对传统半导体设计流程中对MCU芯片进行功能性验证时涉及到多个芯片之间的互联,手工操作连接十分烦琐且易出现错误,介绍了一种基于FPGA的MCU引脚自动互联的设计与实现.介绍了MCU模块功能性验证自动化实现的概念,从硬件逻辑角度给出了一种解决方法,并且从FPGA模块设计、功能仿真和系统实现等方面,证明了新的测试方法不但降低了人为操作错误的可能性,而且提高了模块功能验证的覆盖率和验证效率,大大缩短了产品的上市时间.