Vibration-based energy harvesting seeks to convert ambient vibrations to electrical energy and is of interest for, among other applications, powering the individual nodes of wireless sensor networks. Generally it is desired to match the resonant frequencies of the device to the ambient vibration source to optimize the energy harvested. This paper presents a two-dimensionally (2D) tunable vibrat...

This paper demonstrates the efficient method of tuning PI controller parameters by comparing different tuning rules. The method implies an analytical calculation of the controller gain , Integral time for a PI controlled system which is modeled to be a First Order Plus Dead Time (FOPDT) process. A bench mark non linear system, conical tank is considered for study for which the identified transf...

Genetic algorithm (GA) has been used in this study for a new approach of suboptimal model reduction in the Nyquist plane and optimal time domain tuning of proportional-integral-derivative (PID) and fractional-order (FO) PI(λ)D(μ) controllers. Simulation studies show that the new Nyquist-based model reduction technique outperforms the conventional H(2)-norm-based reduced parameter modeling techn...

this paper presents a self-tuning pid (proportional and integral and derivative) controller for regulating terminal voltage synchronous generators. in order to modify the system reponse and to overcome the difficulties of self tuning controllers, a dual rate sampling control system was used. system results demonstrated usfulness of the proposed regulator. the designed controller is simple and c...

In order to maximize efficiency of an information management platform and to assist in decision making, the collection, storage and analysis of performance-relevant data has become of fundamental importance. This paper addresses the merits and drawbacks provided by the OLAP paradigm for efficiently navigating large volumes of performance measurement data hierarchically. The system managers or d...

The dynamical systems' approach to cognition (Dynamicism) promises computational models that effectively embed cognitive processing within its more natural behavioral context. Dynamical cognitive models also pose difficult, analytical challenges, which motivate the development of new analytical methodology. We start by illustrating the challenge by applying two conventional analytical methods t...

Molecular mechanisms underlying health and disease function at least in part based on the flexibility and fine-tuning afforded by protein isoforms and post-translational modifications. The ability to effectively and consistently resolve these protein species or proteoforms, as well as assess quantitative changes is therefore central to proteomic analyses. Here we discuss the pros and cons of cu...

Self-tuning adaptive control technique has the advantage of being able to track the system operating conditions so that satisfactory control action can always be produced. Self-tuning algorithms can be implemented easily. Because the power systems are usually time varying non-linear systems and their parameters vary, adaptive controllers are very suitable for power systems. Characteristics of a...

The pipelines of approaches for classifying diabetic retinopathy were examined in this study. effort entails developing appropriate transformations and estimators that can be used to automate the process detection. segmentation blood vessels was done using a hybrid algorithm uses Otsu median filter get region interest. Further, ten classifiers investigated order develop an automated pipeline re...