Scenario models and hierarchical state machines play key roles in current object-oriented modeling methodologies. Our work maily focuses on a systematic transition between these two models. In this paper, we argue for the need to develop a catalog of design patterns [18,19] for state machine implementation. The originality of our proposal stems from having these patterns rooted in specific beha...

In this thesis several possibilities are investigated for improving the performance of Liquid State Machines. A Liquid State Machine is a relatively new system that is a Machine Learning system, which is capable of coping with temporal dependencies. Basic Recurrent Neural Networks often have problems with this. One reason for this is that it takes a long time to train the Recurrent Neural Netwo...

Manycurrent online servicesneed to serve clientsdistributedacross geographic areas. These systems are subject to stringent availability and performance requirements. In order to meet these requirements, replication is used to tolerate the crash of servers and improve performance by deploying replicas near the clients. Coordinating geographically distributed replicas, however, is challenging. We...

Process mining provides fact-based insights into processes based on behaviour captured in event data. An important aspect of this is the discovery of process models from such data. Traditionally, the focus of process discovery is on learning the ordering of activities. We deviate from this dominating activity view on processes to focus on states and state changes. Specifically, we aim to discov...

We consider the state machine replication problem in semi-synchronous systems subject to Byzantine server failures. propose a new solution form of protocol for generalized consensus problem. The solves setting which information about conflicts between transactions is available (such can be transaction read and write sets). Unlike most prior proposals (for or classical consensus), use leader ord...

This paper proposes simulated annealing based algorithm for the synthesis of a finite state machine to determine the optimal state assignment with less area and power dissipation. The algorithm has two annealing stages. In the first rough annealing stage it tries to search in global scope by the proposed rough search method. In the second focusing annealing stage it tries to search in local sco...

The machine repair problem with spares and additional repairman is analyzed. The interfailure and repair times of the units are general identical and independently distributed. The failure and repair rates are assumed to be state dependent. Using diffusion approximation technique, we obtain the queue size distribution under steady state. The average number of failed units, average number of ope...

Composition, change and complexity have attracted ev- eryone’s attention towards Self-Adaptive systems. These systems, inspired by the human body, are capable of adapting to changes in the inner and outer environment. The main objective of this study is to achieve a more con- venient availability for e-banking services in the payment switch, using self-healing systems and focusing on the failur...

This paper focuses on the response of circular machine foundation resting on different soils (sand and clay) through studying the variation of soil shear strength parameters and strain with the number of cycles. The objective of the current study is to explore the results related to the parameters of the dynamic load (number of loading cycles and frequency of load) related to the circular footi...