Pulse oximetry measures the relative concentration of arterial oxygenated hemoglobin and reduced hemoglobin. This paper presents the design of a pulse oximeter, which measures the presence of a third substance, carboxyhemoglobin (HbCO), by unfiltered LEDs at 660 nm, 810 nm, and 940 nm. Background information is given on the theory of pulse oximetry. Theoretical approximations and calculations w...

BCI is one of the most intriguing technologies among other HCI systems, mostly because of its capability of recording brain activities. Spelling BCIs, which help paralyzed people to maintain communication, are one of the striking topics in the field of BCI. In this scientific a spelling BCI system with high transfer rate and accuracy that uses SSVEP signals is proposed.In addition, we suggested...

Radar Signal Processing has been an interesting area of research for realization of programmable digital signal processor using VLSI design techniques. Digital Signal Processing (DSP) algorithms have been an integral design methodology for implementation of high speed application specific real-time systems especially for high resolution radar. CORDIC algorithm, in recent times, is turned out to...

We suggest a synthetic symbolic approach to decentralized supervisory control for the class of hybrid dynamical systems that can be modelled as hybrid state machines with a finite external signal space. The decentralized computational scheme represents a conjunction of a finite number of subsupervisors, which are invoked by a decomposition of the external signal space. On this basis, we derive ...

Scheduling of jobs and resource management are the important challenging work in a grid environment. Processing time minimization of the jobs arriving at any computer site in a grid system is one of the major objectives in the research area of computing. In this paper, we propose a decentralized grid system model as a collection of clusters. We then introduce a decentralized job scheduling algo...

Decentralized processing algorithms are attractive alternatives to centralized algorithms for target tracking applications in smart sensor networks since they provide the ability to scale, reduce vulnerability, reduce communication, and share processing responsibilities among individual nodes. Sharing the processing responsibilities allows parallel processing of raw data at the individual nodes...