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A Neuro-Fuzzy Based Approach for Energy Consumption and Profit Operation Forecasting
In recent years, the massive growth in the scale of data is being a key factor in the needed data processing approaches. The efficiency of the algorithms of knowledge extraction depends significantly on the quality of the raw data, which can be improved by employing preprocessing techniques. In the field of energy consumption, the forecasting of power cost needed plays a vital role in determining
A study of the nonlinear dynamics of human behavior and its digital hardware implementation
This paper introduces an intensive discussion for the dynamical model of the love triangle in both integer and fractional-order domains. Three different types of nonlinearities soft, hard, and mixed between soft and hard, are used in this study. MATLAB numerical simulations for the different three categories are presented. Also, a discussion for how the kind of personalities affects the behavior
Effect of cracks in wind turbine blades on natural frequencies during operation
Most publications that are concerned with the crack detection via analyzing Eigenfrequencies or deformation modes of wind turbine blades (WTBs) are done in stationary condition. This paper however proposes a novel approach that could study the effect of WTB cracks during rotation at any speed without the need to stop the turbine by using multibody analysis. This approach will reduce the cost of
Self-Driving Car Lane-keeping Assist using PID and Pure Pursuit Control
Detection of lane boundaries is the primary role for monitoring an autonomous car's trajectory. Three lane identification methodologies are explored in this paper with experimental illustration: Edge detection, Hough transformation, and Birds eye view. The next step after obtaining the boundary points is to add a regulation rule to effectively trigger the regulation of steering and velocity to the
Response Surface Methodology Optimization of Mono-dispersed MgO Nanoparticles Fabricated by Ultrasonic-Assisted Sol–Gel Method for Outstanding Antimicrobial and Antibiofilm Activities
Magnesium oxide (MgO) nanoparticles are one of the highly significant compounds in construction. The novelty concentrated on using sol–gel technique coupled with ultrasonication for synthesis of MgO nanoparticles to prevent the agglomeration and its effect on the size was investigated. The synthesized samples were characterized by TGA, DSC, XRD, FTIR, SEM, EDX mapping, DLS, and HRTEM
Reliable optoelectronic switchable device implementation by CdS nanowires conjugated bent-core liquid crystal matrix
Enhancing the performance of high luminescent and dielectrically capable cadmium sulfide nanowire (CdS NW) is of great importance, because of their promising ability in analyzing the dimensionality and size. The tuned physical characteristics of semiconductor CdS NWs allowed the manipulation of both electronic and optoelectronic devices at the nanoscale by dispersing a new bent core (BC) liquid
Controllable OTA Slew-rate for CMOS Image Sensor
In this work, a proposed circuit is implemented using tsmc 0.18um technology of area 16642 um2 with supply voltage equals 5V. A proposed implementation of a controllable Operational Transconductance Amplifier (OTA) slew rate for CMOS image sensor (CIS) is proposed. The slew rate is controlled by switching between various bias circuits for the OTA. The biasing circuit controls the value of OTA
Advance Interconnect Circuit Modeling Design Using Fractional-Order Elements
Nowadays, the interconnect circuits' conduct plays a crucial role in determining the performance of the CMOS systems, especially those related to nano-scale technology. Modeling the effect of such an influential component has been widely studied from many perspectives. In this article, we propose a new general formula for RLC interconnect circuit model in CMOS technology using the fractional-order