approximations with probabilistic confidences, significantly more efficient to compute in both time and energy. Utilizing the combination of a model and live data acquisition raises the challenging optimization problem of selecting the best sensor readings to acquire, balancing the increase in the confidence

complicated by the 3 decade range of intensity as the Ring accumulates beam. Therefore a bandwidth of 100kHz and dynamic range larger than 21 bits data acquisition system will be required for this purpose. Based on the evaluation of several commercial ADC modules in preliminary design phase, a 24 bits Sigma

densitometer and data acquisition system. Tree-Ring

Abstract Plant electrostimulation is a very efficient method for evaluation of biologically closed electrical circuits in plants. The information gained from plant electrostimulation can be used to elucidate and observe the intracellular and intercellular communication in the form of electrical signals within plants. Monitoring the electrical signaling in higher plants represents a promising method to investigate fast electrical communication during environmental changes. Here we discuss DC methods of plant electrostimulation and describe a new Charge Stimulation Method in plant electrophysiology. It is often convenient to represent the real electrical and electrochemical properties of biointerfaces with idealized equivalent electrical circuit models consisting of discrete electrical components. Biologically closed electrical circuits in plants can be investigated using the

Abstract—The non-intrusive load monitor has been demon-strated [1]–[3] as an effective tool for evaluating and monitoring shipboard electro-mechanical systems through analysis of elec-trical power data. A key advantage of the nonintrusive approach is the ability to reduce sensor count by monitoring

23 male chronic schizophrenics and 23 male normal controls, group matched for age, right-handedness, IQ, and parental socioeconomic status.

We discuss the design of an acquisitional query processor for data collection in sensor networks. Acquisitional issues are those that pertain to where, when, and how often data is physically acquired (sampled) and delivered to query processing operators. By focusing on the locations and costs

We discuss the design of an acquisitional query processor for data collection in sensor networks. Acquisitional issues are those that pertain to where, when, and how often data is physically acquired (sampled) and delivered to query processing operators. By focusing on the locations and costs

Ease of use—16-bit, 1 MSPS complete data acquisition system

Microprogrammable integrated data acquisition system-fatigue life data appilcation.