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Electric Vehicles (EVs) can be considered as a step forward towards the green environment and economical transportation. Moreover, EVs offer fuel economy, clean environment, and less cost of vehicle charging as compared to gasoline refilling. These are the main motivations towards the adaptation of EVs by the users. In order to increase the penetration of EVs into the transportation system, the EV...
This paper presents the evaluation of visual features for the proposed two eye detection method applied to thermal images. The use of two eye region is due to its distinctive pattern and to overcome the issue of blurred and noisy characteristic in the thermal image. Comparative performance analysis on three different features which includes Haar, Histogram of Oriented Gradients (HoG) and Local Binary...
The optimal scheduling algorithms in real-time multiprocessor systems are considered impractical. This is mainly because of the overhead generated due to the frequent scheduling points, migrations and preemptions. The solution to this problem is either to propose new algorithms with less overhead or to improve the existing ones. In this article, some simple heuristics to control the overhead are proposed...
This paper presents a symmetrical staircase design coplanar waveguide (CPW)-fed, Ultra-Wideband (UWB) antenna having measurements 40.0×30.0×1.60mm3 with 5.0GHz WLAN and 3.5 GHz WiMAX notch-band characteristic. In literature, only WLAN band is being notched, whereas, in our design, the WLAN, as well as WiMAX band, is being notched that has huge advantage in security aspect like jamming of 4G signals...
A relative position descriptor is a basis from which fuzzy models of spatial relationships can be derived. Several descriptors have been proposed in the literature, and they have found a variety of applications. The PHI-descriptor, introduced in previous work, allows the modeling of a large number of relationships. We show here that it can be used to develop crisp and fuzzy models of topological relationships...
Dust accumulation on the Photovoltaic (PV) modules, or soiling, is one of the conditions that negatively affect the performance of the modules by obstructing and reducing the incident sunlight. The process of building up the soiling layer on the surface of the PV modules is heavily influenced by the climatological parameters. In this study, the soiling loss of 20° tilted PV modules, mounted on a mock...
In this paper, we propose a solution to the problem of scheduling of smart appliances operations in a given time range. We adopt a photovoltaic (PV) panel as a power producing appliance that acts as micro-grid. Appliance operation is modeled in terms of un-interruptible sequence phases, given in load demand profile. An optimization algorithm, which can provide a schedule for smart home appliances...
We study the energy-optimal subcarrier power allocation for OFDM-based cognitive radio (CR) networks. A CR transmitter communicates with CR receivers on a channel borrowed from licensed primary users (PUs) when PUs' transmission are detected absence on those channels. Due to non-orthogonality of the transmitted signals in the adjacent bands, both the PU and the secondary user (SU) cause mutual-interference...
This paper proposes a pattern search (PS) based algorithm to optimize non-convex multi-band cooperative sensing problem. We present a two-step PS-based solution: The first step uses uniformly distributed random sets of input points to find a solution. The set of points that gives the maximum throughput is chosen as input to the second step, which consists of solving the problem using PS algorithm...
In this paper, we apply the cross entropy optimization (CEO) to the problem of joint multiple relay assignment and source/relay power allocation (JMRAPA) in green cooperative cognitive radio (GCCR) networks. We use shared-band amplify and forward relaying for cooperative communication in the JMRAPA problem. The proposed JMRAPA maximizes the total rate and minimizes the greenhouse gas emissions in...
The power allocation in decode and forward (DF) relaying for cooperative cognitive radio network (CCRN) with an objective of maximizing energy efficiency (EE) is a constraint nonlinear non-convex fractional programming problem (CNNFPP). The optimization needs to satisfy the primary users interference constraints and secondary users outage constraints. We proposed the optimal power allocation in DF...
We present an overview of challenge problems in electromagnetic modeling of highly complex and multi-scale structures found in 3D IC, SiP, SoC, and electronic packaging necessary for signal integrity assessment.
The main objective of this paper is to predict preterm deliveries at an early gestation period using uterine electromyography signals (EMG). Detecting such uterine signals can yield a promising approach to detennine and take actions to prevent this potential risk. Previous classification studies use only linear methods as classic spectral analysis to classify the uterine EMG that does not give clinically...
In this paper, we investigate the optimal allocation of the power in the downlink cooperative cognitive radio network using decode and forward (DF) relaying techniques. The power allocation in DF relaying for green cognitive radio with objective of maximizing energy efficiency is a constraint nonlinear non-convex fractional programming (CNNFP) problem. We present the optimal power allocation in DF...
A mobile Ad-hoc network consists of nodes communicating with each other without any centralized infrastructure. Mobility and concentration of nodes varies from one location to another. Mobility of nodes in populated urban areas is limited and their concentration is high as compared to rural areas where the concentration of nodes is generally low. Therefore it is necessary to study the effect of network...
Loss of data in Communication Systems is a major problem. The main sources of data loss include congestion, sensor faults, mismatch of measuring devices and limited memory of the buffer registers. Three linear prediction (LP) techniques i.e. Normal Equation method, Levinson Durbin Algorithm (LDA) and Leroux Gueguen Algorithm (LGA) are used to predict the missing data. The objective of this paper is...
In this paper, the problem of determining the power allocation that maximizes the energy-efficiency of cognitive radio network is investigated as a constrained fractional programming problem (CFPP). The fractional objective is defined in terms of bits per Joule per Hz. The proposed CFPP is a nonlinear non-convex optimization problem. We propose an iterative power algorithm (IPA) that guarantees ε-optimal...
Functional near infrared spectroscopy (fNIRS) is non-invasive brain imaging techniques that detects the cortical activity by measuring the change in the concentration of oxy-hemoglobin and de-oxy hemoglobin. It uses near infrared light of two wave lengths, 760 nm and 830 nm. NIRS is emerging neuro imaging modality with high temporal resolution. The advantage of NIRS system over other neuro imaging...
A number of optimal algorithms exist for scheduling of periodic taskset with implicit deadlines in real-time multiprocessor systems. However, the practical facts reveal that the optimality is achieved at the cost of excessive scheduling points, migrations and preemptions. In [19], we proposed two heuristics to control the overhead for a class of non-work conserving global scheduling algorithms that...
In this paper we present a low-complexity Artificial Bee Colony (ABC) based interference aware relay assignment scheme with power control for a cognitive radio network comprises of one source, multiple relays and multiple destination nodes. The Exhaustive Search Algorithm (ESA) returns the optimal solution to the problem; yet it has a high computational complexity that grows exponentially with the...
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