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State-of-charge estimation is vital to maximize battery performance and ensuring safe operation. The accuracy of a state-of-charge estimation technique is greatly influenced by the accuracy of the applied battery model. However, the battery model's parameters are varying with several factors, such as temperature, charge/discharge rate, usage cycle, and age. Therefore, an online battery modeling approach...
Cloud provider is central processing with shared resources to serve the vendors on demand over the internet where, Cloud model is divided into deployment and service model. In this paper, we address the service model especially privacy where, the privacy allows customers to ensure that their data in cloud not access by unauthorized persons. We implement a novel approach called multi-level security...
Printed circuit board (PCB), assembly process is developing in a rapid pace. These PCBs are utilized in a heavily in the electronic manufacturing industry. During assembly process, the PCB plates are subjected to mechanical loads such as bending which induces stress distribution on the PCB plates. In this paper, a study on the printed circuit board (PCB) plates during bending process was done. Ansys...
Real world system applications are mostly involved with multivariable process. Thus, the observation and study over single input single output system only, may no longer sufficient. In addition, data acquisition process from real system typically yields large amounts of discrete-time data. This may lead to unacceptable computational time during the identification process. To overcome the problem,...
Wireless Multi-Hop CSMA/CA Networks are challenging to analyze. On the one hand, their dynamics are complex and rather subtle effects may severely affect their performance. Yet, understanding these effects is critical to operate upper layer protocols, such as TCP/IP. On the other hand, their models tend to be very complex in order to reproduce all the features of the protocol. As a result, they do...
This paper presents a stochastic subspace identification algorithm dedicated to subspace-based closed-loop system identification. The preliminary algorithm is based on the ordinary subspace technique followed by a modification in which a new proposed method based on orthogonal decomposition method is used to reconstruct the past input and past output data of the instrumental variables. The noise model...
This paper presents some of the methods under subspace-based family to perform closed-loop system identification. Three methods have been observed, those are the ORT method, MOESP method and CCA method. The performance of these models is evaluated by identifying the same experimental systems. Three performance evaluation tests according to mean square errors, variance accounted for and best fit are...
Optimal estimation of similarity distance between DNA sequences is performed through alignment process. This optimal alignment process is done by using dynamic programming method which running in quadratic O(ntimesm) time complexity. Filtering process is a common technique introduced to improve this optimal alignment process. A filtering process applied in heuristic tools such as BLAST and FASTA consists...
We consider the problem of optimal netlist simplification in the presence of constraints. Because constraints restrict the reachable states of a netlist, they may enhance logic minimization techniques such as redundant gate elimination which generally benefit from unreachability invariants. However, optimizing the logic appearing in a constraint definition may weaken its state-restriction capability,...
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