Nanoparticle Chemical Sensors: A Study on Optical Humidity Sensor Design

The need for sensors capable of operating in harsh environments such as those containing flammable, corrosive or reactive vapors is a niche which thin-film optical devices, with their robustness and ease of maintenance may effectively fill. Two such systems were developed using spin-coating techniques and evaluated for applicability as humidity sensors. The first is based on aggregated silica nano particles. The second is a poly electrolyte multi-layer film impregnated with silver nano particles which exhibited strong surface plasmon response. Ellipsometric experiments performed using a sealed test cell with constant humidity maintained using saturated salt solutions showed that the former responded strongly to changing humidity. The latter possessed interesting hysteresis behavior as analyzed in a climate-controlled glovebox via reflectometry, but proved insufficiently responsive to changing humidity. The silica nano particle substrate was found to be a simple, tunable sensor platform which may be viable for the detection of a wide variety of vapor-phase chemical species

Application of a Novel Stability Control System for Coordination of Power Flow Control Devices in the Future GB Transmission System

With increasing large-scale renewable energy sources in the UK and the need for adequate transmission capacity to accommodate the upcoming renewable generations, more state-of-the-art power flow control devices such as embedded High Voltage DC (HVDC) links will soon be commissioned in the GB HV transmission system to provide the additional capacity. An operational stability control system is required to ensure the coordinated control of power flow control devices in order to achieve better dynamic performance and stability. The focus of this paper is to demonstrate the capability of a multi-variable controller for the coordinated control using a non-parametric sampled regulator control design method. This method is practical for applications in large power systems since the complexity of the controller design does not increase with the size and dynamic of the power system. Also, this design method is demonstrated in two power system applications in this paper

Do Library Fines Work? Analysis of the Effectiveness of Fines on Patron's Return Behavior at Two Mid-sized Academic Libraries

Data on library fines imposed at Eastern Illinois University and the University of Hawaii at Manoa was extracted and compared to determine whether fines had an impact on the patron's return behavior. The results indicated that fines as well as patron group status (undergraduate, graduate, faculty) have an impact on the patron's return behavior

Super-linear speedup for real-time condition monitoring using image processing and drones

Real-time inspections for the large-scale solar system may take a long time to get the hazard situations for any failures that may take place in the solar panels normal operations, where prior hazards detection is important. Reducing the execution time and improving the system’s performance are the ultimate goals of multiprocessing or multicore systems. Real-time video processing and analysis from two camcorders, thermal and charge-coupling devices (CCD), mounted on a drone compose the embedded system being proposed for solar panels inspection. The inspection method needs more time for capturing and processing the frames and detecting the faulty panels. The system can determine the longitude and latitude of the defect position information in real-time. In this work, we investigate parallel processing for the image processing operations which reduces the processing time for the inspection systems. The results show a super-linear speedup for real-time condition monitoring in large-scale solar systems. Using the multiprocessing module in Python, we execute fault detection algorithms using streamed frames from both video cameras. The experimental results show a super-linear speedup for thermal and CCD video processing, the execution time is efficiently reduced with an average of 3.1 times and 6.3 times using 2 processes and 4 processes respectively

PD, PI, and PID controller designing software using MATLAB

Includes bibliographical references.The main purpose of this project is the design and programming of software which designs PD, PI and PID controllers for a plant transfer function, given a user specified desired output phase margin and error H9constant as design parameters. The controllers to be designed are restricted to controllers in series with the controlled process, with unity feedback. Frequency domain analysis techniques are used as the basis for the controller design algorithm, the methods of which are derived from the reference texts listed, and outlined in this document. The project software is written in MATLAB, to take advantage of many of its existing controls based frequency domain analysis functions, and to provide a medium for full exploitation and analysis of the software I s design results.B.S. (Bachelor of Science

Risk the drift! Stretching disciplinary boundaries through critical collaborations between the humanities and visualization

In this paper, we discuss collaborations that can emerge between humanities and visualization researchers. Based on four case studies we illustrate different collaborative constellations within such cross-disciplinary projects that are influenced as much by the general project goals as by the expertise, disciplinary background and individual aims of the involved researchers. We found that such collaborations can introduce productive tensions that stretch the boundaries of visualization research and the involved humanities fields, often leaving team members "adrift'' trying to make sense of findings that are the result of a mixture of different (sometimes competing) research questions, methodologies, and underlying assumptions. We discuss inherent challenges and productive synergies that these drifts can introduce. We argue that greater critical attention must be brought to the collaborative process itself in order to facilitate effective cross-disciplinary collaborations, and also enhance potential contributions and research impact for all involved disciplines. We introduce a number of guiding questions to facilitate critical awareness and reflection throughout the collaborative process, allowing for more transparency, productive communication, and equal participation within research teams.PostprintPeer reviewe

On the feasibility of iron or chromium substitution for aluminium in the Al13-Keggin ion

Al-27 NMR measurements in the liquid and the solid state supplemented with chemical analysis of the mixed salts; unambiguously reveal that neither tetrahedral nor octahedral aluminium can be substituted by either iron or chromium in Al-13-Keggin ion salts prepared by conventional methods

Evaluation of the Impact of AlRS Radiance and Profile Data Assimilation in Partly Cloudy Regions

Parallel experiments using AIRS L1B and L2 retrieved profiles were run for 29 case study days for early Winter 2011. Forecasts over and downstream regions of low, opaque cloudy regions yield improved T and Z anomaly correlations when non-thinned set of profiles is assimilated instead of radiances. Initial results indicate that GSI does a good job on the whole of determining cloud-free radiances there are some areas coincident with areas of larger profile impact that are misrepresented (compared to MODIS) that may result in reduced analysis impact