Browsing by Subject "Optimization"
Now showing items 1-20 of 115
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A Deep Reinforcement Learning Framework for Data Compression in Uplink NOMA-SWIPT Systems
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)<comment< Non-orthogonal multiple access (NOMA) shall play an important role in the current and foreseeable design of 5G and beyond networks. NOMA allows multiple users to share the same time-frequency ... -
A dynamic MOPSO algorithm for multiobjective optimal design of hybrid renewable energy systems
( John Wiley and Sons Ltd , 2014 , Article)In this paper, a dynamic multiobjective particle swarm optimization (DMOPSO) method is presented for the optimal design of hybrid renewable energy systems (HRESs). The main goal of the design is to minimize simultaneously ... -
A mathematical model for carbon fixation and nutrient removal by an algal photobioreactor
( Elsevier Ltd , 2016 , Article)A comprehensive mathematical modeling method for Chlorella vulgaris (Cv) has been developed to assess the influence of nutrient concentration (total nitrogen TN= 28-207 and total phosphorus TP= 6-8mgL 1) and irradiation ... -
A Matlab/Simulink-Based Average-Value Model of Multi-Terminal HVDC Network
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)Multi-terminal High-Voltage Direct Current (MTDC) networks are emerging as the promising technology in modern transmission systems for efficient and bulky renewable energy sources transfer over long distances. Nonetheless, ... -
A Quasi -Oppositional Method for Output Tracking Control by Swarm -Based MPID Controller on AC/HVDC Interconnected Systems with Virtual Inertia Emulation
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)This paper presents a comprehensive evaluation of the effect of quasi oppositional -based learning method utilization in output tracking control through a swarm-based multivariable Proportional-Integral-Derivative (SMPID) ... -
A reliable and cost-effective planning framework of rural area hybrid system considering intelligent weather forecasting
( Elsevier Ltd , 2021 , Article)The use of hybrid systems for electrification of remote areas has been increased dramatically in recent years, and the optimal sizing of these systems is a significant challenge for cost-effectiveness and reliability. This ... -
A review on recent developments in control and optimization of micro grids
( Elsevier , 2022 , Article Review)Modern utility grid is experiencing a transition from conservative centralized generation structure to a more distributed and decentralized structure. To achieve this transition, decentralized energy sources and loads must ... -
Adsorption of 4-Nitrophenol onto Iron Oxide Bentonite Nanocomposite: Process Optimization, Kinetics, Isotherms and Mechanism
( Springer Science and Business Media Deutschland GmbH , 2022 , Article)Despite its importance in chemical industry, 4-Nitrophenol (4-NP) is a persistent organic pollutant that has serious effects on the ecosystem. In the present study, Box–Behnken design in response surface methodology was ... -
An Integrated Quay Crane Assignment and Scheduling Problem Using Branch-and-Price
( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)This paper investigates the integrated quay crane assignment and scheduling problem (QCASP). The problem requires determining the assignment of quay cranes to vessels and the scheduling of operations to be performed by ... -
An IV-SVM-based approach for identification of state-space LPV models under generic noise conditions
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)This paper presents a nonparametric identification method for state-space linear parameter-varying (LPV) models using a modified support vector machine (SVM) approach. While most LPV identification schemes in the state-space ... -
An MPC approach for LPV systems in input-output form
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)In this paper, a discrete-time model predictive control (MPC) design approach is proposed to control systems described by linear parameter-varying (LPV) models in input-output form subject to constraints. To ensure stability ... -
Arabic handwriting recognition using sequential minimal optimization
( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)Due to the variability of writing styles and to other problems related to the nature of Arabic scripts, the recognition of Arabic handwriting is still awaiting accurate results. Segmentation of Arabic handwritten words ... -
Artificial Bee Colony Based Solar PV System with Z-Source Multilevel Inverter
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)In recent days there is a great advancement takes place in the field of power conversion. There are so many novel converters are in practice whose performance is very good and that's why they attract the users for its ... -
Automatic variable reduction
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)A variable reduction strategy (VRS) is an effective method to accelerate the optimization process of evolutionary algorithms (EAs) by simplifying the corresponding optimization problems. Unfortunately, the VRS is manually ... -
B5G: Predictive Container Auto-Scaling for Cellular Evolved Packet Core
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)In order to maintain a satisfactory performance in the midst of rapid growth of mobile traffic, the mobile network infrastructure needs to be scaled. Thus there has been significant interest in scalability of mobile core ... -
Calculation of derating factors based on steady-state unbalanced multiphase induction machine model under open phase(s) and optimal winding currents
( Elsevier , 2014 , Article)Multiphase machines have become a promising candidate in high-power applications as they offer many advantages over their three-phase counterparts. The main salient feature is the high fault tolerance capability. During ... -
CFD and statistical approach to optimize the average air velocity and air volume fraction in an inert-particles spouted-bed reactor (IPSBR) system
( Elsevier Ltd , 2021 , Article)Inert-particles spouted bed reactor (IPSBR) is characterized by intense mixing generated by the circular motion of the inert particles. The operating parameters play an important role in the performance of the IPSBR system, ... -
Challenges And Practices Identification Via A Systematic Literature Review In The Adoption Of Green Cloud Computing: Client&#x2019;s Side Approach
( IEEE , 2021 , Article)Green cloud computing gains popularity over the last decade due to the extensive use of cloud computing. The trend towards cloud computing is spreading at a fast rate. Cloud computing providers extend their data centers ... -
Characteristics-based model predictive control of selective catalytic reduction in diesel-powered vehicles
( Elsevier Ltd , 2016 , Article)In heavy-duty diesel exhaust systems, selective catalytic reduction (SCR) is used to reduce NOx to nitrogen to meet environmental regulations. Diesel exhaust after-treatment involves a set of components that are best ... -
Chromium removal from tannery wastewater by electrocoagulation: Optimization and sludge characterization
( MDPI AG , 2020 , Article)The treatment of tannery effluent is of great interest as it contains a complexmixture ofpollutants, primarily chromium. The disposal of this wastewater can have adverse effects on the environment and aquatic life, which ...