Observation in absolute darkness and daytime under every atmospheric situation is one of the advantages of thermal imaging systems. In spite of increasing trend of using these systems, there are still lots of difficulties in analysing thermal images due to the variable features of pedestrians and atmospheric situations. In this paper an efficient method is proposed for detecting pedestrians in ...

A challenge in designing wireless sensor networks is to maximize the lifetime of the network with respect to limited resources and energy. These limitations make the network particularly vulnerable to attacks from adversaries. Denial of Service (DOS) is considered a severely damaging attack in monitoring applications when intruders attack the network and force it to lose its power and die early...

Abstract: One of the most important goal in wireless sensor networks is to transmit the information to sink as soon as possible in a secure and energy efficient manner .The important factor that would make it possible to reach this goal is the design of efficient set selection algorithm in which only required number of sensors will be working such that the entire detection area is covered. In a...

Automated detection of abnormalities in data has been studied in research area in recent years because of its diverse applications in practice including video surveillance, industrial damage detection and network intrusion detection. However, building an effective anomaly detection system is a non-trivial task since it requires to tackle challenging issues of the shortage of annotated data, ina...

Fundamental changes in the electrical energy sector are drawing on serious implications. One key arising challenge regards current energy markets, which are undergoing a transformation towards accommodating a more decentralized and sustainable provision of energy. As the number of traders in the market is increasing steadily and the trading activities are becoming more complex, the energy marke...

Single energy computed tomography (CT) scanners use measurements of densities to detect explosives in luggage. It is desirable to apply dual energy techniques to these CT scanners to obtain atomic number measurements to reduce false alarm rates. However, the direct application of existing dual energy techniques has practical problems, such as, approximation errors and lack of boundary constrain...

In this paper, energy detectors are developed for wideband and ultra-wideband (UWB) pulse position modulation (PPM). Exact bit error probability (BEP) expressions are presented under different assumptions about the channel. More specifically, we present an expression for the instantaneous BEP for a specific channel realization as well as an expression for the average BEP for an i.i.d. zero-mean...

Iron is an essential element used as supplement in different dosage-forms. Different time and expenditure-consuming methods introduced for detection and determination of elemental ions such as atomic absorption. In this research, two different and routine methods containing ATR-IR and atomic absorption were applied to define the amount of iron in 198 samples containing different concentrations ...

Integration of distributed generations (DGs) in power grids is expected to play an essential role in the infrastructure and market of electrical power systems. Microgrids are small energy systems, capable of balancing captive supply and requesting resources to retain stable service within a specific boundary. Microgrids can operate in grid-connected or islanding modes. Effective islanding detec...

Despite a dramatic growth of power consumption in households, less attention has been paid to monitoring, analyzing and predicting energy usage. In this paper, we propose a framework to mine raw energy data by transforming time series energy data into a symbol sequence, and then extend a suffix tree data structure as an efficient representation to analyze global structural patterns. Then, we us...