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In this paper, Multiband 9-shaped microstrip patch antenna using epoxy substrate has been designed, simulated, and optimized to meet the best possible result using two simulation software: HFSS (High Frequency Structure Simulator) software and CST Microwave Studio software. Microstrip patch antennas are widely used because of their several advantages such as light weight, low volume, and low fabrication...
This work presents the design and simulation of a dual band rectangular patch antenna operating at 2.4 GHZ, and 3.5 GHZ for Zigbee and Wimax applications. The proposed antenna is expected to meet the requirements of wireless connections in the architecture of a pre-hospital emergency system inspired from the literature, which uses the Internet of Things (IOT) technology. The simulations were carried...
Wireless Visual Sensor Network is a collective network of nodes equipped by cameras and powered by batteries. These nodes are capable of collecting, processing, and transmitting a large amount of image/video data to each other and to the Sink. In order to increase the lifetime of such a network, it is essential to decrease the energy used in both processing and transmission tasks. This paper proposes...
In this paper, a parasitic G-shaped microstrip patch antenna has been designed and simulated with both HFSS (High Frequency Structure Simulator) and CST Microwave Studio Softwares. Parametric analysis has been carried out to find optimized distances of the parasitic elements to achieve desired results. The proposed antenna is simple in design and compact in size and provides two separate impedance...
Evaluating the variations of lesion volume plays an important role in many medical applications. It helps radiologists to follow up patients and examine the effects of therapy. Several approaches were being proposed to come up with medical expectations. This work comes within this context. We present a new approach based on the local dissimilarity volume (LDV) that is a 3D representation of the local...
Osteoporosis is one of the most common bone diseases over the world, this disease causes a high risk of fracture, an early diagnosis of the osteoporosis can help avoiding the risk of fracture. Several methods have been proposed to detect the presence of this disease. In this paper we propose a method of osteoporosis diagnosis based on bone X-Ray images, using the frequency separation and fractional...
The study presents an investigation of the effects of a single, or multiple circular shaped slot (cut) can be used to improve the performance of a simple patch antenna operating in Wireless Local Area Network (WLAN) frequencies (2.4 Ghz). The design is achieved by cutting single or multiple circular slots at the radiating element of the patch antenna. The effects of different circular slots orientations...
In this paper, we propose three different approaches in order to multiplex N bits of data using very high efficiency differential chaos shift keying (VHE-DCSK) system. This system allows higher spectral efficiency than differential chaos shift keying (DCSK) and high efficiency differential chaos shift keying (HE-DCSK) systems. Using Gaussian approximation method and under a white Gaussian noise channel...
In this paper, we study the performance of a dualhop amplify-and-forward (AF) communication system over asymmetric links composed of Radio-Frequency (RF) and Free-Space-Optical (FSO) links in the presence of atmospheric turbulence as well as pointing error impairments under both heterodyne detection and intensity modulation with direct detection (IM/DD) techniques. The RF link is assumed to operate...
Performing smart computations in a context of cloud computing and big data is highly appreciated today. Fully homomorphic encryption (FHE) is a smart category of encryption schemes that allows working with the data in its encrypted form. It permits us to preserve confidentiality of our sensible data and to benefit from cloud computing powers. Currently, it has been demonstrated by many existing schemes...
Compressive Sensing (CS) is a new methodology to reconstruct sparse signals from a few number of measurements. These measurements are captured by a sensing matrix, which has a direct impact on the performance of the reconstruction algorithms. Among the sensing matrices proposed in the literature, Bernoulli and Gaussian random sensing matrices are the most prominent. In this work, we propose to improve...
Stereo matching is a fundamental task in vision applications. we propose an adaptive cross-scale aggregation method for stereo matching, which is introduced by solving an optimization problem. Unlike the original approach which introduces the same regularization term based on the inter-scale regularizer parameter to control the cost consistency among the multi-scales for all regions of the input images...
The orthogonal frequency-division multiplexing (OFDM) which has underlying sensing and spectrum shaping capabilities, is indeed well suited to fulfill the requirements of next generation communications. In a multipath environment, bit error rate (BER) is dominated by few subcarriers with small amplitudes because of the deep fades. This requires employing forward error correction (FEC) method on the...
The Bit-Flipping (BF) algorithm is considered as a hard decoding method for LDPC codes. It is much simpler than the probabilistic methods like Sum Product Algorithm (SPA), and can be efficiently implemented by electronic circuits. In this paper, we propose a new Bit Flipping algorithm for Low-Density Parity-Check codes (LDPC) called Single Bit-Flipping (SBF). Compared to the Gallager Bit-Flipping...
In this paper, we analyze the outage performance of dual-hop full-duplex (FD) mmWave systems, where the relay receives an outdoor signal then retransmits it to an indoor receiver. Both transmitting nodes (i.e., the source and the relay) are equipped with massive MIMO setups. We exploit the directivity of the massive MIMO transmitters on both hops to assume self-interference free duplexing. First,...
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