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32 articles for “hybrid schemes”
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Motors Using a Deep Learning-Based Torque Control with Torque Ripple Reduction under Nonlinear Magnetic Conditions
Abstract: This research discusses a deep learning strategy for torque management to minimize the effect of torque ripple in a nonlinear electric motor. Nonlinear electric motor losses may include: magnetic saturation, harmonic flux losses and inverter losses. In many cases when the system parameters deviate and/or instability issues occur, the traditional method with a model-based approach or PI control may encounter challenges. In this case, the authors proposed a hybrid approach …
Published in International Journal of Advanced Control and System Engineering · Vol. 4, Issue 2, 2026 Read article
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Faults Detection Techniques of Three Phase Induction Motor: A Review
Abstract: Induction motors are the most commonly used machines in industries. It is very robust, inexpensive and easy to maintain. Induction motors appear to various faults during their operation. Accurate fault identification is the prime industrial need to reduce breakdown, maintenance and revenue losses. Therefore, an early fault detection is needed for the protection of the motor against electrical and mechanical failures for continuing their operation safely. The main perspective of …
Published in Journal of Control & Instrumentation · Vol. 9, Issue 1, 2018 · pp. 45–49 Read article
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Transient Analysis of a Grid-Connected Hybrid Wind-PV System
Abstract: A new reliable hybrid distributed generation (DG) system based on photovoltaic (PV) and wind driven permanent magnet synchronous generator (PMSG) as sources, with only a boost converter followed by an inverter stage is being developed. The proposed hybrid generator has a PV array being directly connected to the dc link instead of a dc-dc converter. The dc-dc converter varies the dc-link voltage and is placed in between the rectifier fed …
Published in Journal of Power Electronics and Power Systems · Vol. 6, Issue 2, 2016 · pp. 55–63 Read article
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Study of an Improved Quantum Particle Swarm Optimization-Based Framework for Neural Network Optimization in Modelling of Polymer Data
Abstract: The accurate forecasting of polymer viscosity at various physicochemical conditions has been quite critical due to the nonlinear interactions and interrelations between the variables. This paper suggests a better hybrid modelling framework, which involves the use of Artificial Neural Networks (ANN) and more advanced versions of Quantum Particle Swarm Optimization (QPSO) to better predict polymer viscosity. The input parameters taken are, namely, log (shear rate), polymer concentration, NaCl concentration, Ca …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 282–297 Read article
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Entangled Shields: Securing Digital Systems in the Quantum Cryptographic Revolution
Abstract: Quantum computing utilizing principles of superposition and entanglement is poised to revolutionize the computational landscape, presenting unprecedented challenges and opportunities across various disciplines. Among these, cryptography stands at the forefront due to its reliance on computational hardness assumptions, which Quantum algorithms, such as Grover’s and Shor’s, can efficiently exploit. This study explores theoretical foundations and practical applications of quantum-safe cryptographic primitives, such as lattice-based cryptography, hash-based signature schemes, code-based systems, …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 2, 2025 · pp. 33–43 Read article
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DoS Attacks and Detection Schemes in Wireless Mesh Networks
Abstract: The attacks of DoS are a group of collaborative attacks made by attackers to threat internet security. A compromised system was used by the attacker has been used prohibit the user to access the resources. The attacker uses compromised systems to prevent users from having access to the server resources. In this survey, we will find defense mechanisms against DoS attacks that may have importance through the internet. The appliances …
Published in Journal Of Network security · Vol. 9, Issue 1, 2021 · pp. 11–19 Read article
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Sustainable Innovations in Vapor Compression Systems: A Review of Heat Recovery and Environmental Performance
Abstract: Vapor compression refrigeration systems are widely used in residential, commercial, and industrial sectors, contributing significantly to global energy consumption and greenhouse gas emissions. This review explores sustainable innovations in vapor compression systems, focusing on waste heat recovery techniques and their impact on environmental performance. Key advancements include the integration of heat exchangers, ejector systems, and hybrid configurations that enhance energy efficiency while reducing refrigerant load and emissions. With a focus …
Published in Journal of Thermal Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 16–21 Read article
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LoRa and LoRaWAN in the IoT: Performance, Challenges, and Future Opportunities
Abstract: This paper provides a broad overview of both LoRa and LoRaWAN technologies in the context of Internet of Things (IoT). The market need for communication technology to be low-power and long-range continues to grow, and LoRa and LoRaWAN are emerging as viable options for enabling widespread IoT applications in a variety of applications. This review offers structured and comparative assessment of their functionality in different environments, such as urban, rural, …
Published in International Journal of Wireless Security and Networks · Vol. 4, Issue 2, 2026 Read article
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Heavy Fermions to the Scheme from Semimetals
Abstract: This article is a study about heavy Fermions to scope strange and unknown features of scattering accounted to conduction electrons in the metal. Nucleons generated by heavy metal compounds are named heavy fermions. These generate from magnetic impurities that are present in the matter as unusual distribution in particulate forms. Parameter of quasi-crystal lattice instability of these compounds has significance in response to behave as non-Fermi liquids affected under magneto-transport. …
Published in Journal of Materials & Metallurgical Engineering · Vol. 11, Issue 2, 2021 · pp. 15–22 Read article
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A study on Controlling Artificial Heart
Abstract: The artificial heart has moved from a visionary concept to a clinically viable organreplacement technology, yet its longterm success hinges on the sophistication of its control architecture. This paper presents a comprehensive investigation of closedloop control strategies that enable an artificial heart to mimic the dynamic, beattobeat adaptability of its biological counterpart. We first construct a highfidelity cardiovascular model that integrates ventricular elastance, systemic and pulmonary vascular compliance, and realtime …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 1, 2026 · pp. 14–23 Read article
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The Role of Symmetry in Topological Insulators and Superconductors
Abstract: Topological insulators and superconductors constitute a class of quantum materials characterized by insulating bulks and symmetry-protected conducting boundaries. Symmetry principles, notably time-reversal (TRS), particle-hole (PHS), and chiral symmetry, play a fundamental role in determining the topological phases and their classification within the Altland-Zirnbauer scheme. TRS protects gapless surface states in topological insulators, while PHS stabilizes Majorana modes in topological superconductors. Symmetry-protected topology extends this framework by considering partial symmetry breaking, …
Published in Emerging Trends in Symmetry · Vol. 1, Issue 2, 2025 · pp. 01–05 Read article
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Providing security using Signature-Based Broadcast Authentication in Sensor Networks
Abstract: As per recent studies it is feasible to perform public key cryptographic operations on resource-constrained sensor platforms. But the problem is energy consumption introduced by public key operations makes any public key-based protocol an easy target of Denial-of-Service attacks. For example, if digital signature schemes like Elliptic Curve Digital Signature Algorithm are used directly for broadcast authentication without further protection, an attacker can simply broadcast fake messages and force the …
Published in Journal of Advancements in Robotics · Vol. 1, Issue 1, 2014 · pp. 12–16 Read article