Dependability is an intrinsic attribute of a system and a key decision factor for evaluating and accepting successful system performance. The dependability of a system is affected by different factors in different stages of its life cycle, and it must be properly managed. The key to achieve dependability is to adopt a life-cycle approach to obtain dependability. This paper analyzes the meaning of dependability life cycle, and on the basis of introducing the existing system, data and product life cycle models, constructs the system dependability life cycle model, including concept, development, realization, utilization and retirement/re-use of five life cycle stages. Considering the wide application of software system, the dependability life cycle model of software system is further studied and established. The implementation of dependability activities in each phase of the system life cycle can promote the realization of system dependability and create dependability value.
In this study, the Apk2Img4AndMal framework, which provides information about the application without the need for static or dynamic attributes, is recommended. The proposed framework reads APK files in binary format and converts them to grayscale images. In the classification phase of the framework, the convolutional neural network (CNN) is used, which gives successful results in image classification. In this way, the required features are obtained through a CNN. Therefore, there is also no feature extraction phase as other dynamic or static analysis-based frameworks. This property is the most important advantage of the Apk2Img4AndMal framework. The proposed framework is tested with 24588 Android malware and 3000 benign applications. The highest performance achieved in the study is up to 94%, according to the accuracy metric.
针对电子元器件应用过程中常见故障频发的缺陷,分析了电子元器件的选型项目和选型应力.紧紧围绕电子元器件的稳定性,对一些常见的选型项目,提出了典型的选型规划方案.最后以二极管为研究对象,分析了电子器件筛选程序.
为了探索分析备件分类、需求预测和库存管理研究规律,并为后续装备备件规划分析提供参考,通过对国内工业设备、汽车、风电、轨道交通、电网、船舶和制造业等行业领域进行调研,分别从解析法和仿真分析方法两个角度着重分析备件分类、需求预测和库存管理相结合的研究现状,梳理了影响备件分类的关键因素、方法和模型,以及针对不同种类备件数据特点的预测方法和库存管理理论.形成了备件分类、需求预测和库存管理方法的主要应用原则,可为型号装备备件分类、需求预测和库存管理的工程应用研究提供参考.
普通晶体振荡器(SPXO)是用量最大的石英晶体器件,其关键生产工序控制对于保障其质量与可靠性具有重要的意义.因此,对SPXO的关键工序进行了研究.首先,介绍了SPXO的结构和加工工序;然后,从中找出 3个关键工序,即:被银前的清洗工序、点胶工序和微调工序;最后,介绍了一些由于关键工序未得到有效控制而导致的失效案例和失效分析过程,以使相关研究者更深刻地了解和掌握这些关键工序,从而有效地提高SPXO的总体质量,降低SPXO的失效率.
