Conference Paper

Permanent URI for this collectionhttps://hdl.handle.net/10361/6902

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Adaptive algorithms for automated intruder detection in surveillance networks
(© 2014 Institute of Electrical and Electronics Engineers Inc., 2014) Ahmed, Tarem; Ahmed, Supriyo Sabbir; Pathan, Al-Sakib Khan; Department of Electrical and Electronic Engineering
Many types of automated visual surveillance systems have been presented in the recent literature. Most of the schemes require custom equipment, or involve significant complexity and storage needs. After studying the area in detail, this work presents four novel algorithms to perform automated, real-time intruder detection in surveillance networks. Built using machine learning techniques, the proposed algorithms are adaptive and portable, do not require any expensive or sophisticated component, are lightweight, and efficient with runtimes of the order of hundredths of a second. Two of the proposed algorithms have been developed by us. With application to two complementary data sets and quantitative performance comparisons with two representative existing schemes, we show that it is possible to easily obtain high detection accuracy with low false positives.
RouteFinder: real-time optimum vehicle routing using mobile phone network
(© 2015 Institute of Electrical and Electronics Engineers Inc., 2015) Ahmadullah, Najiba; Islam, Shahpar; Ahmed, Tarem; Department of Electrical and Electronic Engineering
Road traffic congestion is a major issue in most mega cities. The traffic jams are often exacerbated by drivers habitually following the same routes. A real-time, optimum vehicle routing system that takes traffic density into account can be a possible solution to this problem. This paper presents RouteFinder, a system of providing real-time traffic density mapping on the driver's smartphone using an in-vehicle module built using inexpensive components that communicates with the existing mobile telephone network, to enable the driver to choose the least congested route to a desired destination. The hardware module contains the essential elements of a cellular handset such as a SIM card. The location of the vehicle is determined through a standard triangulation algorithm performed using signals from the three nearest cellular base stations, and the location information is constantly updated at relevant Home Location Registers (HLRs) / Visitor Location Register (VLRs) at the telecom service provider using an intermediate MySQL database. An Android application developed for the driver's smartphone shows the present locations of all vehicles in all routes from the origin to the selected destination, with colour codes distinguishing between moving and stationary vehicles. We have implemented our device in 10 vehicles in Dhaka city. Our sample calculations have shown significant savings not only in terms of time, but also in fuel consumption.
Taking meredith out of Grey's anatomy: automating hospital ICU emergency signaling
(© 2016 Institute of Electrical and Electronics Engineers Inc., 2016-05) Ahmed, Tarem; Ahmed, Supriyo Shafkat; Chowdhury, Fazle Elahi; Department of Electrical and Electronic Engineering
In this paper we propose a new algorithm based on kernel machines for automatic, instantaneous detection of emergencies occurring in a hospital Intensive Care Unit. The proposed algorithm takes as input the multitude of vital statistics that are continuously monitored for a critical patient in Intensive Care, learns the underlying pattern between the statistics that is naturally inherent for the particular patient, and instantaneously signals any deviation from this pattern. Through application to real data from a cardiac Intensive Care Unit at a hospital in a developing country, we show that it is possible to easily obtain high detection accuracy with low false alarm rates.

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