367,291 research outputs found
Applying OGC sensor web enablement to ocean observing systems
The complexity of marine installations
for ocean observing systems has grown significantly in
recent years. In a network consisting of tens, hundreds
or thousands of marine instruments, manual
configuration and integration becomes very
challenging. Simplifying the integration process in
existing or newly established observing systems would
benefit system operators and is important for the
broader application of different sensors. This article
presents an approach for the automatic configuration
and integration of sensors into an interoperable
Sensor Web infrastructure. First, the sensor
communication model, based on OGC's SensorML
standard, is utilized. It serves as a generic driver
mechanism since it enables the declarative and
detailed description of a sensor's protocol. Finally, we
present a data acquisition architecture based on the
OGC PUCK protocol that enables storage and
retrieval of the SensorML document from the sensor
itself, and automatic integration of sensors into an
interoperable Sensor Web infrastructure. Our
approach adopts Efficient XML Interchange (EXI) as
alternative serialization form of XML or JSON. It
solves the bandwidth problem of XML and JSON.Peer ReviewedPostprint (author's final draft
A microsensor array for biochemical sensing
A microsensor array to measure chemical properties of biological liquids is presented. A hybrid integration technique is used to mount four sensor chips on a micro flow channel: a pressure, temperature, pH, combined pO2 and pCO2 sensor chip. This results in a microsensor array which is developed to meet the technical requirements for space applications. The integration method allows to integrate other types of sensor chips. This multi-purpose and multi-user approach makes the microsensor array suitable for various biochemical applications
A Three Dimensional Microflown
An integrated three dimensional acoustic particle velocity sensor is realized. The integration of multiple sensors on a single silicon die leads to improvements in terms of better a better reproducible sensor and a very small sensor to sensor distance allowing accurate single point measurements. Initial measurements performed show that three dimensional noise source finding is possible with this sensor
Sensor/ROIC Integration using Oxide Bonding
We explore the Ziptronix Direct Bond Interconnect technology for the
integration of sensors and readout integrated circuits (ROICs) for high energy
physics. The technology utilizes an oxide bond to form a robust mechanical
connection between layers which serves to assist with the formation of metallic
interlayer connections. We report on testing results of sample sensors bonded
to ROICs and thinned to 100 microns.Comment: Talk given at the 2008 International Linear Collider Workshop (LCWS08
and ILC08), Chicago, Illinois, November 16-20, 2008. 4 pages, 1 figur
Integral estimation based on Markovian design
Suppose that a mobile sensor describes a Markovian trajectory in the ambient
space. At each time the sensor measures an attribute of interest, e.g., the
temperature. Using only the location history of the sensor and the associated
measurements, the aim is to estimate the average value of the attribute over
the space. In contrast to classical probabilistic integration methods, e.g.,
Monte Carlo, the proposed approach does not require any knowledge on the
distribution of the sensor trajectory. Probabilistic bounds on the convergence
rates of the estimator are established. These rates are better than the
traditional "root n"-rate, where n is the sample size, attached to other
probabilistic integration methods. For finite sample sizes, the good behaviour
of the procedure is demonstrated through simulations and an application to the
evaluation of the average temperature of oceans is considered.Comment: 45 page
Sensor integration for robotic laser welding processes
The use of robotic laser welding is increasing among industrial applications, because of its ability to weld objects in three dimensions. Robotic laser welding involves three sub-processes: seam detection and tracking, welding process control, and weld seam inspection. Usually, for each sub-process, a separate sensory system is required. The use of separate sensory systems leads to heavy and bulky tools, in contrast to compact and light sensory systems that are needed to reach sufficient accuracy and accessibility. In the solution presented in this paper all three subprocesses are integrated in one compact multipurpose welding head. This multi-purpose tool is under development and consists of a laser welding head, with integrated sensors for seam detection and inspection, while also carrying interfaces for process control. It can provide the relative position of the tool and the work piece in three-dimensional space. Additionally, it can cope with the occurrence of sharp corners along a three-dimensional weld path, which are difficult to detect and weld with conventional equipment due to measurement errors and robot dynamics. In this paper the process of seam detection will be mainly elaborated
Fingerprint verification by fusion of optical and capacitive sensors
A few works have been presented so far on information fusion for fingerprint verification. None, however, have explicitly investigated the use of multi-sensor fusion, in other words, the integration of the information provided by multiple devices to capture fingerprint images. In this paper, a multi-sensor fingerprint verification system based on the fusion of optical and capacitive sensors is presented. Reported results show that such a multi-sensor system can perform better than traditional fingerprint matchers based on a single sensor. (C) 2004 Elsevier B.V. All rights reserved
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