Proximity sensing based upon infrared signal detection requires two parts: infrared LED and infrared sensor. The infrared LED emits infrared signal to the sensing object, a portion of that signal bounces back from the surface of sensing object, these reflected infrared signal was then captured by the infrared sensor. The intensity of captured infrared signal changes accordingly when an sensing ...

We demonstrate a fiber optic surface plasmon resonance (SPR) biosensor based on smart phone platforms. The light-weight optical components and sensing element are connected by optical fibers on a phone case. This SPR adaptor can be conveniently installed or removed from smart phones. The measurement, control and reference channels are illuminated by the light entering the lead-in fibers from th...

The biological and regulatory roles of photosensory proteins are poorly understood for nonphotosynthetic bacteria. The foliar bacterial pathogen Pseudomonas syringae has three photosensory protein-encoding genes that are predicted to encode the blue-light-sensing LOV (light, oxygen, or voltage) histidine kinase (LOV-HK) and two red/far-red-light-sensing bacteriophytochromes, BphP1 and BphP2. We...

Many applications in wireless sensor networks (WSNs) ( e.g. , traffic monitoring, environment surveillance and intruder tracking) rely heavily on the availability and accuracy of targets’ locations. Compressive sensing (CS) has been widely applied to localization as it asserts that a small number of samples will suffice for sparse or compressible signal recovery. Despite much progress in CS-bas...

A novel optical fiber array-type of sensing instrument with temperature compensation for real-time detection was developed to measure oxygen, carbon dioxide, and ammonia simultaneously. The proposed instrument is multi-sensing array integrated with real-time measurement module for portable applications. The sensing optical fibers were etched and polished before coating to increase sensitivities...

Compressive Sensing is an emerging field based on the revelation that a small group of nonadaptive linear projections of a compressible signal contains enough information for reconstruction and processing. In this paper, we propose algorithms and hardware to support a new theory of Compressive Imaging. Our approach is based on a new digital image/video camera that directly acquires random proje...