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Intelligent-based protective relays in the power system is currently growing very rapidly with the use of embedded systems and artificial intelligence algorithms. Overcurrent relays operated based on the standard characteristic curve will move toward digital overcurrent relay (DOCR) using a flexible characteristic curve based on the user settings. DOCR with the standard characteristic curve cannot...
1200 V SiC MOSFET is a viable alternative for state of the art Si IGBTs due to its superior switching performances. However, high di/dt and dv/dt during the switching transients worsen the switching performance of the SiC MOSFET due to the presence of parasitic inductances in the inverter layout. They cause undesired overshoot and oscillations in the device voltage and current. They also increase...
Ultrapure water contains several kinds of contaminaminants. In particular, we paid much attention to particles and investigated particles adsorption onto Si wafer. We succeed in making a model through two experiments, that is, one is to study an impact of spin cleaning parameters on particle adsorption, and the other is to study that of such impurities as urea, hydrogen peroxide, and so on.
Social media captures voice of customers at a rapid pace. Consumer perception of a brand is crucial to its success. Current techniques for measuring brand perception using lengthy surveys of handpicked users in person, by mail, phone or online are time consuming and increasingly inadequate. A more effective technique to measure brand perception is to interpret customer voice directly from social media...
Quantum definition based threshold voltage calculation of Gate-All-Around Junction Less Nanowire Transistor has been presented in this work. Employment of this approach has not yet been achieved on GAA-JLNT even though similar determination was previously established for TG FinFETs and GAA-MOSFETs in recent literature. The self-consistent solver, which takes wave function penetration and other quantum...
This paper presents the gate oxide dielectric strength and its thickness-dependent performance of a graphene nanoribbon MOSFET (GNRMOSFET). Here we have studied the transfer characteristics, on/off current (ION/IOFF) ratio, subthreshold slope and drain induced barrier lowering (DIBL) of the device using Non Equilibrium Greens Function (NEGF) formalism in tight binding frameworks. The results are obtained...
A TCAD-based approach is proposed to investigate the most relevant transport mechanisms of diamond-like carbon (DLC) films at different biases and ambient temperatures. Starting from the band structure and boundary conditions of a metal-insulator-metal (MIM) device, the most relevant trap levels have been determined against experiments along with the Poole-Frenkel conduction effect. The affinity of...
Extreme learning machine (ELM) is based on single layer feed forward neural networks (SLFNs) and has become a rapidly developing learning technology today. Recently developed Multilayer form of ELM called ML-ELM which is based on the architecture of deep learning, become more popular compared to other traditional classifiers because of its important qualities such as multiple non-linear transformation...
Probabilistic graphic model is an elegant framework to compactly present complex real-world observations by modeling uncertainty and logical flow (conditionally independent factors). In this paper, we present a probabilistic framework of neighborhood-based recommendation methods (PNBM) in which similarity is regarded as an unobserved factor. Thus, PNBM leads the estimation of user preference to maximizing...
This paper studies the design of standard CMOS two-stage operational amplifiers under power consumption and area constraints. The focus of the work is unity-gain bandwidth optimization, which is achieved by means of a procedure based on numerical analysis that allows determining the optimum sizing of op-amp transistors and the compensation capacitance as well as the best splitting of the allowed bias...
Structured sparse optimization is an important and challenging problem for analyzing high-dimensional data in a variety of applications such as bioinformatics, medical imaging, social networks, and astronomy. Although a number of structured sparsity models have been explored, such as trees, groups, clusters, and paths, connected subgraphs have been rarely explored in the current literature. One of...
The properties of random graphs provide insight into the behavior of real-world complex networks. One such property is the Typical Distance, which characterizes the time required to traverse the network. For example, the Typical Distance measures how fast a virus spreads through a population. The probability that the Typical Distance is large is difficult to estimate via crude Monte Carlo. We propose...
Music score scanning recognition system, to identify musical notes through hand-held device by scanning five-line staff. Most of the music score scanning equipment equips with linear sensors, acquires the binary image according to the intensity of reflection of light with the irradiation of the front LED. However, because of the influence of illumination and differential rotation of this method, the...
Energy efficiency has become a main challenge in Wireless Sensor Networks (WSNs) and their applications. Localization is one of the indispensable stages in WSN. Localization generally refers to the process of locating the position of one or more node(s) in a network. This paper develops and evaluates an improved energy aware localization algorithm in WSNs. Clustering techniques have been intensively...
U-shaped Assembly Line (UAL) applies the just-in-time principle which decreases the waste in the operations. This paper presents the UAL model which bases on an uncertain task time. It consists of eight certain tasks and three uncertain tasks. The objective function of the model is the minimum number of workstations. The model formulates on a zero-one integer linear programming. The distribution of...
This paper introduces a theoretical framework for the analysis and control of the stochastic susceptible-infected-removed (SIR) spreading process over a network of heterogeneous agents. In our analysis, we analyze the exact networked Markov process describing the SIR model, without resorting to mean-field approximations, and introduce a convex optimization framework to find an efficient allocation...
In this paper, the optimal control problem for information diffusion over heterogeneous networks is inspected. First, the node-based susceptible-infected-susceptible (SIS) is introduced considering the heterogeneity of both network structure and diverse transition rates. Second, taking the scenario of campaigning and marketing as examples, an optimal control scheme is proposed aiming at information...
In Bangladesh, approximately 24,140 kilometers of entire length is surrounded by 700 rivers including tributaries. Around 1,280,000 fishermen exist in the whole country, among them 770,000 inland and 510,000 marine fishermen whose income entirely depends on fisheries. Bangladeshi fishermen mainly use trawlers (fishing boats) for fishing purpose in the sea and river. Those trawler boats require electric...
According to the BCF theory, a simple surface diffusion model of SiC single crystal was established, and the key parameters such as the surface diffusion length, the critical nucleation and growth rate were obtained by theoretical calculation. The results show that surface diffusion length is 460nmat 2400K and it decreases with the rise of temperature. The relationship between the critical nucleation...
The electrical and optical properties of InAsP/Si quantum dot solar cell are numerically analyzed in this paper. We have investigated many effects like the number of quantum dot layers inserted, and Arsenic composition of InAsxP1−x on the mains characteristics of a solar cell: Current-Voltage, and the External Quantum Efficiency EQE. It has been shown that Arsenic composition of 60% and 80% provide...
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