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Switching models possess discontinuous and nonlinear behavior rendering difficulties in simulations in terms of time consumption, computational complexity causing mathematical instability while equally vulnerable to errors. This issue can be sorted out by averaging detailed models over entire switching period. Several static as well as dynamic average models (full order and reduced order) have been...
The maximum power available from a photovoltaic (PV) generator in many grid connected systems is extracted using a dc-dc step up converter that implements a maximum power point tracking (MPPT) algorithm. Traditional MPPT algorithms are iterative, continuously searching for the maximum power point (MPP) under varying weather conditions. Due to the nonlinear time-varying nature of commonly used MPPT...
Force computations are one of the most time consuming part in performing Molecular Dynamics (MD) simulations. Adaptively Restrained Molecular Dynamics (ARMD) makes it possible to perform fewer force calculations by adaptively restraining particles positions. This paper introduces parallel algorithms for single-pass incremental force computations to take advantage of adaptive restraints using the Message...
The problem of estimating parameters of linear control valve with hysteresis is considered. The hysteretic behavior of control valve, which is modelled as a switched linear model, is identified by a subspace decomposition technique. Via spectral clustering on subspace, the noisy data of control valve are classified into separate sets, each corresponding to up-trip mode and down-trip mode respectively...
Edge cloud computing is a trending paradigm, which extends cloud computing by additionally utilizing computing resources at the network edge, e.g., at mobile base stations. Especially personalized services can be instantiated or migrated close to end users, which improves the latency and supports user mobility. However, the placement of the service chains is crucial for the performance of the services...
In an SDN/NFV-enabled network, the behavior of virtual switches is a major concern in determining the overall network performance. The prominent open-source solution for virtual switching is Open vSwitch while the DPDK library has been developed to accelerate the packet processing. In this paper, we develop a general framework for the modeling and the analysis of DPDK-based virtual switches, taking...
The multi-homing technique in the dynamic spectrum access networks presents the key mechanism to improve the overall spectrum utilization and social surplus of the end-users willing to communicate. In general, multi-homing allows the enduser to switch dynamically among the operators and together with other bunch of protocols are being developed in the IETF. They aim for better utilizing the network...
The Power Distribution Network of a PCB based system is largely influenced by the switching noise from power converters. This paper presents the nonlinear behavior of the DC-DC Buck converter as EMI generator. Time sensitive data collector are based on high speed real time systems which require high quality of power and ground distribution network. By analyzing the interferences generated by the switching...
Modeling the terminal behavior of power system components in transient condition is of great necessity for systemlevel simulations of future DC grids. One vital component in DC grids are power electronic converters. Therefore, efficient models of power electronic converters, which model their terminal behavior, are needed for transient system-level simulations. In this paper, an approach for eliminating...
Modular Multilevel Converter (MMC) is one of the most promising topology in medium- and high voltage high power application such as high-voltage dc (HVDC) transmission systems and medium voltage drives (MVD). In high power application, the semiconductor loss modelling is essential for system efficiency evaluation, thermal system design. Power loss information is also indispensable in device thermal...
Spin-transfer-torque random access memory (STT RAM) is a promising memory technology due to its scalability, endurance and non-volatility. Addressing the process induced variations during realistic device fabrication process is a challenge, while trying to meet performance specifications, more so with the technology scaling leading to smaller device dimensions. In a simplified picture, the performance...
Assigning network resources to Virtual Links (VLs) efficiently and on-demand is a challenging problem for any network virtualization solution. Known as the Virtual Link Mapping (VLM) problem, its objective is to compute the appropriate network paths with the required network resources that meet the quality of service expectations of arriving VLs while spreading the load over all nodes to maximise...
The power electronic based Grid Side Converter (GSC) is the key technology for interconnecting RES. In order to obtain accurate simulation results, it is important to have a detailed-realistic modelling of GSCs. This requires a very small solver step (i.e., solver period near 1 μs) due to the high-frequency switching operation of these converters. Such a small solver period imposes computational constraints,...
Metro emergency has always been the social concerned issues in which information diffusion is one of the most important concerns as sometimes it will decide the severity of the emergency. In the metro emergency, the passengers not only communicate with peers, but also be affected by the official information. Therefore, the opinion dynamic of passengers with the release of official information is mainly...
Modern distribution system are expected to provide new features such as taking advantage of Cyber-Physical Systems (CPS) - new equipment and devices embedded with sensors, network communication, and computational intelligence techniques to provide increased system performance and power quality. Among the performance improvement, the reduction of electrical losses is an important quality factor which...
Energy concerns, the infamous memory wall, and the enormous data deluge of the current big-data age have made the integration of processing and memory elements into a very appealing paradigm. In this paper, we focus on a computation-in-memory solution to the problem of multiplying a set of Boolean matrices, also known as Boolean matrix chain multiplication (BMCM). This is a fundamental computational...
We demonstrate a desktop platform which has the ability of modeling ReRAM TiO2 samples in a highly automated manner. The system consists of a bespoke RRAM characterization instrument that hosts packaged RRAM devices and is operated via a PC. The system's python-based software includes a module that automatically applies strategically chosen sequences of pulses to a test device and then extracts the...
Multiview videos offer unprecedented experience by allowing users to explore scenes from different angles and perspectives. Thus, such videos have been gaining substantial interest from major content providers such as Google and Facebook. Adaptive streaming of multiview videos is, however, challenging because of the Internet dynamics and the diversity of user interests and network conditions. To address...
Electrical system has become a growing trend in the past decades. Electrical motors are the central components that convert electrical power into mechanical power in motor-driven systems. Computer based simulation is used widely in motordriven system design due to the increase of system complexity. This paper presents an integrated solution to design and simulate complex, system level motor system...
Fault diagnosis methods ensure safe operation of industrial plants. Steadily increasing appearance of larger and interconnected systems and the necessity to take process uncertainties into account drives the need for reliable diagnosis procedures. Set-based frameworks for model-based fault diagnosis allow to handle these challenges, albeit at a high cost of computations. We propose a method to reduce...
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