Research on Hardware Design Verification Methods

2012 ◽  
Vol 588-589 ◽  
pp. 1208-1213
Author(s):  
Jie Zhang ◽  
Jian Qi ◽  
Yong Guan
Keyword(s):  
Model Checking ◽  
Formal Methods ◽  
Theorem Proving ◽  
Hardware Design ◽  
Equivalence Checking ◽  
Design Verification ◽  
Future Directions ◽  
Existing Problems ◽  
Verification Methods ◽  
Simulation Based

This paper first summarizes the existing basic theories and methods of hardware design verification. Then it analyzes and compares the simulation-based verification and formal methods-based verification, and discusses Equivalence Checking, Model Checking and Theorem Proving in detail. Finally, it points out the existing problems and the future directions in the field.

Formal Verification Methods

2015 ◽  
pp. 10-20
Keyword(s):  
Model Checking ◽  
Formal Verification ◽  
Formal Methods ◽  
Theorem Proving ◽  
Critical Systems ◽  
Verification Methods

This chapter provides a brief introduction to the domain of formal methods (Boca, Bowen, & Siddiqi, 2009) and the most commonly used verification methods (i.e., theorem proving [Harrison, 2009] and model checking [Baier & Katoen, 2008]). Due to their inherent precision, formal verification methods are increasingly being used in modeling and verifying safety and financial-critical systems these days.

scholarly journals Formal Verification of Cloud and Fog Systems:A Review and Research Challenges

2021 ◽  
Vol 27 (4) ◽  
pp. 341-363
Author(s):  
Fairouz Fakhfakh ◽  
Slim Kallel ◽  
Saoussen Cheikhrouhou
Keyword(s):  
Formal Methods ◽  
State Of The Art ◽  
Fog Computing ◽  
Crucial Issue ◽  
Future Directions ◽  
Industrial Sectors ◽  
Current State ◽  
Verification Methods ◽  
Academic Researchers ◽  
Verification Tools

Cloud and Fog computing have been widely recognized as attractive solutions in both academic and industrial sectors. Despite their benefits, the adoption of Cloud and Fog computing still have considerable challenges to be handled due to the increase of client requirements. A crucial issue, in this context, is how to verify the correctness of Cloud and Fog systems. The use of formal methods is an efficient mean which provides a real help for the designer to evaluate the behaviour of a system and prevent errors before its implementation. In this paper, we present a systematic literature review (SLR) on the current state of the art in this field. We collect the existing studies on the use of formal methods for proving the correctness of Cloud and Fog systems. The proposed approaches are compared based on some technical properties such as the verification methods, the verification tools, the considered properties, and the application domains. In addition, future directions which need more investigations are presented. We believe that our paper will be useful for industry and academic researchers to understand the existing contributions that deal with the cor- rectness of Cloud and Fog systems. Moreover, it helps them to address several gaps in the literature.

scholarly journals Overview of Control Algorithm Verification Methods in Power Electronics Systems

Energies ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4360
Author(s):  
Paweł Szcześniak ◽  
Iwona Grobelna ◽  
Mateja Novak ◽  
Ulrik Nyman
Keyword(s):  
Model Checking ◽  
Statistical Model ◽  
Power Electronics ◽  
Formal Methods ◽  
Operating Conditions ◽  
Symbolic Model Checking ◽  
Control Algorithms ◽  
Statistical Model Checking ◽  
Symbolic Model ◽  
Verification Methods

The paper presents the existing verification methods for control algorithms in power electronics systems, including the application of model checking techniques. In the industry, the most frequently used verification methods are simulations and experiments; however, they have to be performed manually and do not give a 100% confidence that the system will operate correctly in all situations. Here we show the recent advancements in verification and performance assessment of power electronics systems with the usage of formal methods. Symbolic model checking can be used to achieve a guarantee that the system satisfies user-defined requirements, while statistical model checking combines simulation and statistical methods to gain statistically valid results that predict the behavior with high confidence. Both methods can be applied automatically before physical realization of the power electronics systems, so that any errors, incorrect assumptions or unforeseen situations are detected as early as possible. An additional functionality of verification with the use of formal methods is to check the converter operation in terms of reliability in various system operating conditions. It is possible to verify the distribution and uniformity of occurrence in time of the number of transistor switching, transistor conduction times for various current levels, etc. The information obtained in this way can be used to optimize control algorithms in terms of reliability in power electronics. The article provides an overview of various verification methods with an emphasis on statistical model checking. The basic functionalities of the methods, their construction, and their properties are indicated.

scholarly journals Monte Carlo Based Statistical Model Checking of Cyber-Physical Systems: A Review

Information ◽  
2020 ◽  
Vol 11 (12) ◽  
pp. 588
Author(s):  
Angela Pappagallo ◽  
Annalisa Massini ◽  
Enrico Tronci
Keyword(s):  
Monte Carlo ◽  
Model Checking ◽  
Statistical Model ◽  
Cyber Physical Systems ◽  
Statistical Model Checking ◽  
Physical Systems ◽  
Verification Methods ◽  
Simulation Based ◽  
Autonomous Cars ◽  
Verification Time

The ever-increasing deployment of autonomous Cyber-Physical Systems (CPSs) (e.g., autonomous cars, UAV) exacerbates the need for efficient formal verification methods. In this setting, the main obstacle to overcome is the huge number of scenarios to be evaluated. Statistical Model Checking (SMC) is a simulation-based approach that holds the promise to overcome such an obstacle by using statistical methods in order to sample the set of scenarios. Many SMC tools exist, and they have been reviewed in several works. In this paper, we will overview Monte Carlo-based SMC tools in order to provide selection criteria based on Key Performance Indicators (KPIs) for the verification activity (e.g., minimize verification time or cost) as well as on the environment features, the kind of system model, the language used to define the requirements to be verified, the statistical inference approach used, and the algorithm implementing it. Furthermore, we will identify open research challenges in the field of (SMC) tools.

Diameter-Controlled Synthesis of Single-Walled Carbon Nanotubes

2013 ◽  
Vol 652-654 ◽  
pp. 151-154
Author(s):  
Ting Kai Zhao ◽  
Xing Zhao ◽  
Jin Yan ◽  
Li Du ◽  
Tie Hu Li
Keyword(s):  
Carbon Nanotubes ◽  
Single Walled Carbon Nanotubes ◽  
Recent Decade ◽  
Diameter Distribution ◽  
Future Directions ◽  
Single Walled Carbon ◽  
Existing Problems ◽  
Multi Walled Carbon Nanotubes ◽  
Synthesis Of Carbon Nanotubes ◽  
Walled Carbon Nanotubes

With the technological progress in the synthesis of multi-walled carbon nanotubes and single-walled carbon nanotubes, more attention was attracted to the synthesis of carbon nanotubes with diameter distribution, ideal length, different chirality and certain orientation. In recent decade, all these factors have been investigated and a number of progresses have been made for the application of carbon nanotubes. The latest researches on the growth of diameter-controlled single-walled carbon nanotubes are reviewed and discussed. The existing problems and challenges of the synthesis processes have been addressed in the future directions.

Sign in / Sign up

Export Citation Format

Share Document