3,250 research outputs found
Abnormal Event Detection in Videos using Spatiotemporal Autoencoder
We present an efficient method for detecting anomalies in videos. Recent
applications of convolutional neural networks have shown promises of
convolutional layers for object detection and recognition, especially in
images. However, convolutional neural networks are supervised and require
labels as learning signals. We propose a spatiotemporal architecture for
anomaly detection in videos including crowded scenes. Our architecture includes
two main components, one for spatial feature representation, and one for
learning the temporal evolution of the spatial features. Experimental results
on Avenue, Subway and UCSD benchmarks confirm that the detection accuracy of
our method is comparable to state-of-the-art methods at a considerable speed of
up to 140 fps
Photoelectrochemical Degradation of Dye Pollutants Using Tio2 Thin Film Electrodes
Thin film electrodes were fabricated by immobilizing titanium dioxide (Ti02) onto
titanium substrate using sol gel dip-coating method. The electrochemical technique
was employed to study the photodegradation process on methyl orange dye. The
effects of various parameters and conditions on electrochemical assisted
photocatalytic degradation process were investigated by monitoring dyes
decolourisation rates using UV-Vis spectrophotometer.
Photosensitivity of the Ti02 thin film electrode was analysed by Linear Sweep
Voltammetry (LSV) and Cyclic Voltamrnetry (CV) techniques combined with
illumination. Sample heat-treated at 500°C showed the best photosensitivity. The TiOz
thin films and the dried gel were also analysed using Scanning Electron Microscope
(SEM), X-Ray Diffiactometry (XRD), UV/Vis Spectroscopy, Fourier Transform-Infra
Red (FT-IR), Thennogravimetric Analyser (TGA), Differential Thermal Analyser
(DTA) and CHNS analyser. The photoelectrochemical degradation experiment results
showed that the rate of dye removal increased with external applied potential between
0.0 V and 1.5 V versus AgIAgCl reference electrode. Meanwhile, the photoeletrochemical degradation rate was also affected by initial concentrations, light
intensity, light sources, photocatalysts coated area, repeated use, supporting
electrolyte, solution pH, agitation and solution temperature.
The photoelectrochemical degradation experiment was also camed out on naphtol
blue black, rhodamine 6G, methylene blue, reactive blue 2, direct red 81, mixed dyes
(consists of methyl orange, naphtol blue black, rhodamine 6G, methylene blue,
reactive blue 2, direct red 8 1) and actual textile effluents. The removal efficiency was
evaluated and compared in terms of UV/Vis decolourisation, Total Organic Carbon
(TOC), Chemical Oxygen Demand (COD) and Biological Oxygen Demand (BOD)
Fleet Management System
Managing paper-driven employee travel and expenses is a slow, fragmented process with abundant potential for uncontrolled spending. As a result, there is a need for a
Travel and Expenses Management System to provide a better control and reduce the cycle time. Customizing a standard software package to suit the company operation is
selected in order to ensure that the company can leverage from the industry proven best practices of travel and expenses claim processes and at the same time maintain
the company unique requirements. This report describes the needs for expense claim automation and the process to
customize a standard Travel and Expenses Management System package. The project covers the use of Microsoft Solution Framework (MSF) process model, functional decomposition, process flow diagram and program flow diagram to represent the current system and the proposed system. This paper introduces a web-based Travel and Expenses Management System to enhance the expense claim processes. The system analysis outlines the system requirements by going through the functionality assessment, option assessment and
gap resolution. The functional specification illustrates the customization needed by focusing on functionality, technical review, input, processing and output. In addition, the paper shows the fit of MSF process model in this project development and proposes the use of MSF team model for the project involving team efforts. It also
outlines the possible additional features and functionalities that could further improve the system
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