Alireza Ghasempour

Electric load prediction (ELP) can support smart grid (SG) goals such as reliability and efficiency. In ELP, we predict the electricity demand at aggregated levels which is very vital for the proper functioning of SG and keeping a balance between load and supply demand. ELP can be categorized as very short-term, short-term, medium-term, and long-te...

Internet of Things (IoT) is a connection of people and things at any time, in any place, with anyone and anything, using any network and any service. Thus, IoT is a huge dynamic global network infrastructure of Internet-enabled entities with web services. One of the most important applications of IoT is the Smart Grid (SG). SG is a data communicati...

Coherent cooperative transmission is a potential technical approach to overcome the constraints imposed by the limited battery power encountered in many distributed networks such as sensor and UAVs. In coherent cooperative transmission, two, or more, spatially separated communications nodes act as elements of an antenna array to transmit common dat...

To address power grid challenges (such as reliability, greenhouse gas and carbon emissions, economics, safety, energy security), smart grid (SG) has been introduced. National Institute of Standards and Technology chose to focus on seven key functionalities plus cybersecurity and network communications. These functionalities are especially critical...

Smart grid uses an advanced metering infrastructure to create a two-way communication network between smart grid components and machine-to-machine communications has a great potential to implement this communication network. In this paper, we propose a one-layer aggregation-based machine-to-machine architecture for advanced metering infrastructure...

Internet of Things connects anythings at any time in any places. Smart grid is one of the promising applications of Internet of Things. Advanced metering infrastructure is one of the most important components of smart grid which aggregates data from smart meters and sends the collected data to the utility center to be analyzed and stored. In this p...

Advanced Metering Infrastructure (AMI) is one of the most important components of smart grid (SG) which aggregates data from smart meters (SMs) and sends the collected data to utility center (UC) to be analyzed and stored. In traditional centralized AMI architecture, there is one meter data management system to process all gathered information in U...

Inspired by nature, nanonetworks can expand the capabilities of nanomachines with regards to execution of more complex tasks, extension of workspace and coverage. Various communication techniques such as acoustic, nanomechanical, electromagnetic and molecular communications are proposed for nanonetworks but molecular communication is the most promi...

In the channel assignment problem, frequencies are assigned to requested calls in a cellular mobile network subject to co-channel, adjacent channel and co-site constraints such that required bandwidth is minimized. In this paper, a new hybrid algorithm is proposed to solve the channel assignment problem and Node-color and Node-degree ordering of ce...

Recent advances in hardware and software have generated a remarkable enhancement in the image quality and have broadened the obtainable information spectrum. Acoustic Surface Wave (ASW) is a naturally occurring phenomenon in surface of materials under load (force, temperature, etc). Spectral Analysis of Surface Wave (SASW) condition monitoring is r...

Spectral analysis of surface wave condition monitoring is related to the identification of certain vibration parameters due to surface waves and their measurement with a view to diagnose under water part of concrete structures. In this research work, it has been discussed how the use of FFT analyzers can yield fault information based on spectrum an...

Spectral analysis of surface wave condition monitoring is related to the identification of certain vibration parameters due to surface waves and their measurement with a view to diagnose under water part of concrete structures. In this research work, it has been discussed how the use of FFT analyzers can yield fault information based on spectrum an...

To increase the image contrast of the internal arteries at in vivo conditions, increasing of SNR magnitude and homogeneity are very important. In this study, we introduce a new design for the monopole probe by using a thin coaxial cable. The improvement of SNR distribution around the proposed probe relative to the conventional monopole probe is ver...

In the channel assignment problem, frequencies are assigned to the requested calls in a cellular mobile network subject to cochannels, adjacent channels and cosite constraints such that a required bandwidth is minimized. In this paper, a new method based on genetic algorithm is proposed to solve these problems. The performance of the proposed metho...

In the channel assignment problem (CAP), frequencies are assigned to requested calls in a cellular mobile network subject to co-channel, adjacent channel and co-site constraints such that required bandwidth is minimized. In this paper, a new heuristic algorithm is proposed to solve the CAP and node-color and node-degree ordering of cells and row-wi...

Magnetic Resonance Imaging (MRI) is one of diagnostic methods which can produce images with high resolution from internal vessel walls and plaque structures. Recently, surface and volume coils have been used to improve MR signal acquisitions when image resolution is limited. Many researchers have investigated design and implementation of intravascu...

The channel assignment is an important aspect of cellular radio networks. Because of the limitations on the frequency spectrum, the optimal or near-optimal channel assignment has become an essential part of the network operations of wireless personal communication systems. We formulate a new strategy for the channel assignment problem in agreement...

In this paper, we propose a new approach to the fixed channel assignment problem by modifying the dynamic programming technique. This new strategy extends the already known dynamic programming so that the channel assignment solutions can be obtained. There is no need to have an initial random solution for convergence. One of the questions in the fi...