Emerging RF systems utilize multiple frequency bands to facilitate multi-function operations and to adapt to dynamic transmission conditions, making multiband RF systems an essential infrastructure for applications in the commercial, defense, and civilian federal marketplace. While multiband RF systems are the backbone for intelligence, surveillance, and reconnaissance, as well as for supporting data-intensive physical weaponry in the battlefield; Civilians also rely on multiband RF systems for all types of day-to-day applications including smart home system control, entertainment, virtual reality and augmented reality learning. With the recent development of 5G networks, the spectrum of multiband networks could spend from hundreds of MHz to tens of GHz range, which could support new applications and improve the quality of services. The benefits associated with using multiband and wideband RF technologies can only be realized if it is possible to dynamically manipulate the ultra-wide multiband spectrum to ensure high-quality transmission performance. This is challenging, however, as the bandwidth of multiband RF signal could be as wide as several GHz with a center frequency from hundreds of MHz to tens of GHz range, and neither RF electronics nor digital signal processing are capable of dynamically manipulating spectrum of GHz wide. In this paper, we will present our recent advancement on novel photonic systems for dynamically manipulating the wide RF spectrum for multiband and wideband emerging RF systems.
High quality images play a key role in inspecting surface defect of rail track. However, image distortion is frequently
occurred in traditional detection systems in which exposure frequency of camera are fixed as constant. The system
studied in this paper improves traditional systems by combining a speed auto-adaptable (SAA) system, to adjust proper
exposure frequency and uniform image quality all the time according to vehicle riding speed. The system mainly consists
of a high-speed external controlled camera, a rotary encoder and a signal processing card, with this system, performance
in avoiding image distortion both in laboratory test and practical application can be achieved with minimum detection
precision of 0.2 mm at relative low speed and theoretically maximum detection speed of approximate 489 km/h.
Noninvasive detection of glucose has been heavily researched in their roles of offering cost-effective,
painless, and bloodless monitoring of glucose concentration. In this work, we describe a novel,
label-free, and sensitive approach for detecting the glucose concentration in human interstitial fluid
samples using the opto-fluidic ring resonator (OFRR). The OFRR incorporates microfluidics and
optical ring resonator sensing technology to achieve rapid label-free detection in a small and low-cost
platform. In this study, bulk refractive index measurements are presented. Results show that the OFRR
is able to detect glucose at medically relevant concentrations in interstitial fluid ranging from 0 to 25
mM, with a detection limit of 0.32 mM, which is lower than clinical requirement by one order of
magnitude. Our work is believed to lead to a device that can be used to frequently monitor glucose
concentration in a low-cost and painless manner.
Online inspection of glass containers is important to guarantee the high quality production, safe use and effective
recovery, so high precision and low cost online detection system has important practical value. The system introduced in
this paper consists of LED linear array as the light source, a linear CCD as the detector, and a dual core processor with
ARM and DSP as well. The self rotating stage for glass bottles and the digital image process technology enable this
system to acquire the complete data and improve the traditional detection method. As a result, a detection speed over 100
bottles per minute, and a precision over 99.99% were achieved with the relatively simple structure and low cost.