Функциональное моделирование процессов иммерсионной ультрафиолетовой литографии
This article discusses problems of importing data from system of CAD (Computer-Aided Design) to dependability prediction software. Characteristics of dependability of electronic modules to a large extent define reliability of electronic equipment which contains them. Dependability of electronic modules is established on the early stages of engineering and is usually calculated by special software. Obviously, the dependability prediction result accuracy will depend on the quality and fullness of input data. Thus, the purpose of this study is to improve the accuracy of dependability prediction of electronic modules calculation results in dependability prediction software by automating the process of inputting data about electrical components and PCB’s (Printed Circuit Board) from CAD-system.
The object of the study is typical information about electronic modules which is needed to calculate dependability on early stages of engineering with taking into account the probabilistic characteristics of the life components of its electronic components. The subject of the study are methods, models and algorithms applicable to the transferring data from CAD-system to dependability prediction software.
Based on results of analysis of existing data transferring methods between software packages from different vendors, usage of Excel tables and customizable templates was justified. Practical implementation of this method was developed for Altium Designer and ASONIKA-K-SCh dependability prediction software package. An import program was developed which allowed to transfer data from Altium Designer to ASONIKA-K-SCh using Excel tables and customizable templates. The import program as integrated into ASONIKA-K-SCh software. Practical usage showed that it allowed not only to reduce laboriousness of PCB’s and electronical components’ data inputting, but also to reduce a great amount of possible mistakes.
The paper is discussing a method of increasing the reliability of on-board electronic equipment at the early stages of its design. Authors offer to evaluate and provide deterministic reserves for thermal, mechanical and electrical loads to electronic components using special simulation software. Determinacy of reserves loads on the electronic components is achieved by a result of complex modeling as additional indicators of reliability. The main methods of reliability indicators calculation conducted in enterprises are probabilistic, which are averaged and do not lend themselves to practical verification during testing. Complex modeling of destabilizing effects on the printing circuit board of designed on-board equipment allows to achieve the required reserves on the electrical, thermal and mechanical loads with respect to the maximum permissible temperatures, vibration and shock acceleration in the electronic components, which leads to the guaranteed provision of high levels of reliability.
The Euromicro Conference on Digital System Design (DSD) addresses all aspects of (embedded, pervasive and high-performance) digital and mixed hardware/software system engineering, down to microarchitectures, digital circuits and VLSI techniques. It is a discussion forum for researchers and engineers from academia and industry working on state-of-the-art investigations, development and applications. It focuses on advanced circuit and system design and design automation concepts, paradigms, methods and tools, as well as on modern implementation technologies from full custom in nanometer technology nodes to FPGA and to multicore infrastructures. Compiler assisted ASIP, CMP, SMP, SMT, DSP-VLIW, GPU and platform based system design research results are welcome. Design and Verification Languages and Standards, High Level Synthesis, Efficiency, Density, Signal Integrity, Testability, Timing Analysis and Timing Closure, Asynchronous Techniques, Reconfigurable Architectures, Power Consumption, Computational Power Speed and Performance, Productive Design Technology and Engineering Flows, Manufacturability, Cost, Reliability, Error Resilience, Complexity, or Process Variability issues, Modeling, Design Experiences are covered in DSD.
The problem of small sample size, i.e. absence of required quantity of empirical data for decision making of rational constructive-technically, in case of computer-aided design of elements, nodes and technical objects’ devices is considered. Randomization approach for blur factor’s determination of nonparametric decision rules is suggested. The approach of Laplace’s method in using cores’ asymptotic bound in case of static model is considered.
In the paper basic principles and general approach to development of Performance Management Systems (PMSs) are discussed. It is considered that development of PMSs should rely on certain principles, each of them is described in details. Finally, a two-level managerial approach to PMS design and development planning is proposed. The top level, related with PMS in whole, is considered within the bounds of three generic stages – functional modeling, dynamic modeling and finalizing.
The paper discusses the basic operations to ensure testability of electronic means (EM). The result of the proposed transactions is the basis of the diagnostic data. To improve the efficiency of the diagnostic modeling of the underlying testability design, the processes of calculation of tolerance limits and creation a list of possible defects are considered. Allocated a distinguishing feature of the proposed method, which consists in taking into account the thermal characteristics for electrical diagnostic modeling. The technique of checking the uniqueness of detection considered defects. And a criterion for evaluation of the achieved level of testability is also proposed
This volume presents new results in the study and optimization of information transmission models in telecommunication networks using different approaches, mainly based on theiries of queueing systems and queueing networks .
The paper provides a number of proposed draft operational guidelines for technology measurement and includes a number of tentative technology definitions to be used for statistical purposes, principles for identification and classification of potentially growing technology areas, suggestions on the survey strategies and indicators. These are the key components of an internationally harmonized framework for collecting and interpreting technology data that would need to be further developed through a broader consultation process. A summary of definitions of technology already available in OECD manuals and the stocktaking results are provided in the Annex section.