| 1. |
|
|
| 2. |
- Zhao, B., et al.
(författare)
-
A NHPP-based reliability model of wireless sensor networks
- 2014
-
Ingår i: Applied Mechanics and Materials. - 9783038351764 ; , s. 877-882
-
Konferensbidrag (refereegranskat)abstract
- As the Wireless Sensor Networks(WSNs) are widely applied to various fields recent years, the quality of WSN has been increasingly concerned. Since reliability is the most important factor of quality, how to evaluate reliability of WSN through failure counting is our main subject. In this paper, we try to utilize NHPP theorem in the failure process of WSN and propose a reliability model based on NHPP. And also, the model validation is conducted by simulation.
|
|
| 3. |
- Zhao, B., et al.
(författare)
-
An additive NHPP-Based reliability model of wireless sensor networks
- 2014
-
Ingår i: Applied Mechanics and Materials. - 9783038351948 ; , s. 3206-3212
-
Konferensbidrag (refereegranskat)abstract
- As the Wireless Sensor Networks(WSNs) are widely implemented in various fields recent years, the quality of WSNs has been increasingly concerned. WSNs can usually be divided into sub-nets, which assumed to work or fail independently. Through the failure data of those sub-nets, the additive NHPP model for reliability evaluation is composed, and then the maximum likelihood estimation is applied to estimate the unknown parameters in the model. Finally, the simulation shows that the additive NHPP model is better than general NHPP model under certain circumstances.
|
|
| 4. |
- Zhao, B., et al.
(författare)
-
Wireless sensor network reliability modelling based on masked data
- 2015
-
Ingår i: International Journal of Sensor Networks (IJSNet). - 1748-1279 .- 1748-1287. ; 17:4, s. 217-223
-
Tidskriftsartikel (refereegranskat)abstract
- This paper studies the reliability modelling of wireless sensor networks (WSNs) with the masked data that are often observed in practice. The masked data are the system failure data when exact subsystems or components causing system failures cannot be identified. When the masked data are observed, however, it is difficult to estimate the WSN reliability since the failure processes of the subnets cannot be decomposed into simple subsystem processes. In this paper, an additive non-homogeneous poisson process (NHPP) model is proposed to describe the failure process of the WSN with subnets. The maximum likelihood estimation (MLE) procedure is developed to estimate the parameters in the proposed model. By applying the given procedure, the WSN reliability estimate can be relatively easy to obtain. A numerical example based on simulation data with random masking is also provided to illustrate the applicability of the methodology.
|
|
| 5. |
- Zhao, Ming, et al.
(författare)
-
Copula-based reliability modelling of wireless sensor networks with dependent failures
- 2019
-
Ingår i: International Journal of Sensor Networks (IJSNet). - : InderScience Publishers. - 1748-1279 .- 1748-1287. ; 31:2, s. 90-98
-
Tidskriftsartikel (refereegranskat)abstract
- Wireless sensor networks (WSNs) have widely been applied in various industries and business fields covering large geographical regions. It is therefore important to be able to model, assess and predict the reliability of WSNs since the failures can have a great effect on the monitoring or control systems that are normally depending on the WSNs. In this paper, the general WSN reliability models are developed by deleting the independent assumption of component or subsystem failures and are consequently more reasonable to characterise the failure process of WSNs. The methodology in the proposed WSN reliability models is to consider that the failure times of subsystems are dependent variables and their joint distribution is obtained by binding their marginal failure distributions together through a copula function. For specific Frank copula functions, the Star-based WSN reliability models are derived and their properties are also discussed in this paper.
|
|
| 6. |
|
|
| 7. |
- Hu, W, et al.
(författare)
-
Iterative Strategy Analyze During Agile Development
- 2012
-
Ingår i: Weidianzixue yu jisuanji [Microelectronics & Computer]. - 1000-7180. ; 29:5, s. 165-169
-
Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- In this paper, We used characteristic of the Unified Modeling Language （UML） use case model in describing the function of the system＇ s and the iteration sequence of agile development process to obtain a new iteration sequence based on the risk an value of the various use cases in UML use case diagrams. An obvious advantage of doing so is to ensure high-risk and high-value use cases will be first developed, so that the use cases will be repeatedly tested in the next iteration, thereby increasing overall system reliability.
|
|
| 8. |
- Hu, Wensheng, et al.
(författare)
-
Maintainability design based on complex network
- 2017
-
Ingår i: 2017 14th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP). - 9781538610107 ; , s. 309-314
-
Konferensbidrag (refereegranskat)abstract
- Many faults come from the design phase. In order to improve the maintainability of the software, the design of software architecture must be adopted modular design. This paper presents a method of UML class diagram translated into a directed complex network with weight value. The relation weight coefficient matrix between classes can be calculated by Dijkstra algorithm. The clustering algorithm is implemented on the relation weight coefficient matrix. The result of clustering analysis is that the closely related classes can be clustered into a component. Finally, modular design of the software system can be realized. © 2017 IEEE.
|
|
| 9. |
- Hu, W., et al.
(författare)
-
Requires analysis based on software maintainability
- 2014
-
Ingår i: ICRMS 2014 - Proceedings of 2014 10th International Conference on Reliability, Maintainability and Safety. - 9781479919925 ; , s. 354-357
-
Konferensbidrag (refereegranskat)abstract
- Requirements analysis is the most important phase of the software life cycle process. Some studies have shown the most faults of software are from the requirements phase. Therefore, the quality of Software Requirements Specification has become the key to project success, which correctness, consistency, no ambiguity of software requirements specification is more important. This paper presents a classification method based on natural language processing techniques and grey similar correlation. The first step of this method is that keywords refined from various functional requirements through segmentation of natural language processing, thus made up of heavy weight vector based on the weight of functional requirements, such a functional requirement corresponds to a weight vector. The second step is that the related technology of grey system is used to compute grey correlation coefficient between two weight vectors, in order to construct a correlation matrix. Finally, the appropriate statistical tools are used to classify functional requirements statements. The clustering results based on this method can provide work guidance for requirement analysts, software developers, software testers, software maintenance.
|
|
| 10. |
- Hu, W, et al.
(författare)
-
VDM++ Formalization of UML Class Diagram
- 2012
-
Ingår i: Weidianzixue yu jisuanji [Microelectronics & Computer]. - 1000-7180. ; 29:6, s. 104-107
-
Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- The purpose of this paper is to use the most widely used formal language-VDM ＋ ＋ that has characteristics of accuracy and consistent in describing syntax and semantic of the system model, combined with VDMTOOLS and Rational Rose tool to transform the various elements of the UML class model into representation of VI）M＋ ＋. This method achieves the various elements contained UML class model about the syntax and semantics checking, and further improves the quality of UML modeling.
|
|
