Browsing Faculty of Engineering by Title
Now showing items 1652-1671 of 3118
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Minimal sign representation of boolean functions: algorithms and exact results for low dimensions
(MIT Press, 2015-08)Boolean functions (BFs) are central in many fields of engineering and mathematics, such as cryptography, circuit design, and combinatorics. Moreover, they provide a simple framework for studying neural computation mechanisms ... -
Minimizing cogging torque in permanent magnet synchronous generators for small wind turbine applications
(Gazi University, 2021-06)Permanent magnet synchronous generators have a wide usage among electric machines, especially in small wind turbine systems. However permanent magnet synchronous generators suffer from cogging torque due to the magnetic ... -
Minimizing false positive rate for DoS attack detection: A hybrid SDN-based approach
(Elsevier, 2020-06)Denial of Service attacks (DoS) are considered to be a major threat against today's communication networks. Recently, a novel networking paradigm that provides enhanced programming abilities has been proposed to attain an ... -
Minimizing peak load from information cascades: Social networks meet cellular networks
(IEEE, 2016-04)Online social networks (OSNs) serve today as a platform for information dissemination. At the same time, mobile devices provide ubiquitous network access through the cellular infrastructure. In this paper, we develop ... -
Minimum power architecture of relay-based network with bandwidth and hop-count constraints
(Trans Tech Publications, 2011)Energy bills are on the rise and with the recent attention to saving the global environment. Saving energy (minimizing energy consumption) is becoming a standard issue for all industrial and commercial applications. Moreover, ... -
Mirror neurons: Functions, mechanisms and models
(Elsevier, 2013-04-12)Mirror neurons for manipulation fire both when the animal manipulates an object in a specific way and when it sees another animal (or the experimenter) perform an action that is more or less similar. Such neurons were ... -
Misclassification risk and uncertainty quantification in deep classifiers
(IEEE, 2021)In this paper, we propose risk-calibrated evidential deep classifiers to reduce the costs associated with classification errors. We use two main approaches. The first is to develop methods to quantify the uncertainty of a ... -
Mitigating the impact of drug shortages for a healthcare facility: An inventory management approach
(Elsevier, 2016-05-16)Despite the importance and value of the pharmaceutical market, a significant portion of procurement spending including pharmaceuticals are lost. Coupling poor and reactive management practices with the inevitable national ... -
Mixed higher-order anisotropic flow and nonlinear response coefficients of charged particles in PbPb collisions at root √sNN = 2.76 and 5.02 TeV
(Springer Nature, 2020-06-13)Anisotropies in the initial energy density distribution of the quark-gluon plasma created in high energy heavy ion collisions lead to anisotropies in the azimuthal distributions of the final-state particles known as ... -
Mixed method review for integrating building information modeling and life-cycle assessments
(Elsevier, 2020-04-15)Previous studies have suggested that building information modeling (BIM) and life-cycle assessments (LCAs) could be integrated to quantify and alleviate the environmental effects of buildings while simplifying and optimizing ... -
Mixed RF and hybrid RF/FSO relaying
(IEEE, 2015)In this paper, we consider a mixed RF and hybrid RF/FSO system where several mobile users transmit their data over an RF link to a relay node (e.g. a small cell base station) and the relay forwards the information to a ... -
Mixture-kernel based post-distortion in RKHS for time-varying VLC channels
(IEEE, 2019-02)Visible light communication (VLC) based systems are a viable green supplement to existing radio frequency based communication systems. However, it has been found that the performance of VLC based systems is impaired in ... -
An MMIC low-noise amplifier design technique
(IEEE, 2016-03)In this paper we discuss the design of low-noise amplifiers (LNAs) for both cryogenic and room-temperature operation in general and take the stability and linearity of the amplifiers into special consideration. Oscillations ... -
A mobile channel model for vlc and application to adaptive system design
(IEEE, 2017-05)In this letter, we propose a realistic channel model for visible light communication (VLC) assuming a mobile user. Based on non-sequential ray tracing, we first obtain channel impulse responses for each point over the user ... -
MOCMIN: convex inferring of modular low-rank contact networks over COVID diffusion data
(TÜBİTAK, 2022)SEIR (which consists of susceptible, exposed, infected, and recovered states) is a common diffusion model which could model different disease propagation dynamics across various domains such as influenza and COVID diffusion. ... -
Modal characterization of additively manufactured TPMS structures: comparison between different modeling methods
(Springer Nature, 2020-10-14)The use of lattice structures has received increasing interest in various engineering applications owing to their high strength to weight ratio. Advances in additive manufacturing technologies enabled the manufacturing of ... -
A model for cognitively valid lifelong learning
(IEEE, 2023)In continual learning, usually a sequence of tasks are given to a learning agent and the performance of the agent after learning is measured in terms of resistance to catastrophic forgetting, efficacy of knowledge transfer ... -
A model of chemical mechanical planarization to predict impact of pad conditioning on process performance
(Cambridge University Press, 2012)This study presents an effort to couple a wafer removal rate profile model based on the locally relevant Preston equation to the change in pad thickness profile which reflects to post polish profile of the wafers after ... -
Model predictive control of a PUC5-based dual-output electric vehicle battery charger
(MDPI, 2023-10)In this study, a model predictive control (MPC) technique is applied to a packed-u-cell (PUC)-based dual-output bidirectional electric vehicle (EV) battery charger. The investigated topology is a 5-level PUC-based power ... -
Model predictive controller as a robust algorithm for maximum power point tracking
(IEEE, 2018-01-19)In the recent years, solar energy has attended the world as a clean energy. Many researchers are focused on extracting maximum power from solar panels. So, Maximum Power Point Tracking (MPPT) is used for increasing efficiency ...
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