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(SI13-04) System of Variational Inclusions Involving Cayley Operator and Yosida Approximation Operator with XOR Operations
Full text linkIn this paper, we consider and study a new class of system of variational inclusions called a system of variational inclusions involving Cayley operator and Yosida approximation operator with XOR operation. We have shown that our problem is equivalent to a fixed point equation. Based on fixed point formulation, an iterative algorithm is designed to obtain existence and convergence result for our problem
(SI13-02) Approximate Solution of Fuzzy Volterra Integro-differential Equations using Numerical Techniques
Full text linkTo determine the approximate solution to fuzzy Volterra integro-differential equations, the Adomian Decomposition Method (ADM), Modified Adomian Decomposition Method (MADM), Variational Iteration Method (VIM), and Homotopy Perturbation Method (HPM) are proposed in this study. We present two examples to support the methodology, and the results are presented in tables to demonstrate the method’s efficiency and correctness. Wolfram Mathematica 11.3 is used to perform the computations
(R2067) Solutions of Hyperbolic System of Time Fractional Partial Differential Equations for Heat Propagation
Full text linkHyperbolic linear theory of heat propagation has been established in the framework of a Caputo time fractional order derivative. The solution of a system of integer and fractional order initial value problems is achieved by employing the Adomian decomposition approach. The obtained solution is in convergent infinite series form, demonstrating the method’s strengths in solving fractional differential equations. Moreover, the double Laplace transform method is employed to acquire the solution of a system of integer and fractional order boundary conditions in the Laplace domain. An inversion of double Laplace transforms has been achieved numerically by employing the Xiao algorithm in the space-time domain. Considering the non-Fourier effect of heat conduction, the finite speed of thermal wave propagation has been attained. The role of the fractional order parameter has been examined scientifically. The results obtained by considering the fractional order theory and the integer order theory perfectly coincide as a limiting case of fractional order parameter approaches one
Optimization Of Solar Energy Efficiency Using Neural Network Controllers With Direct Current Converters
Full text linkPhotovoltaic (PV) systems offer a renewable energy source by converting sunlight into electricity. This dissertation enhances PV system performance using advanced control mechanisms and DC-DC converters. PV systems, influenced by variables such as irradiance and temperature, require efficient Maximum Power Point Tracking (MPPT) for optimal energy conversion. Traditional MPPT methods like the Perturbation and Observation (P&O) algorithm often struggle with rapidly changing conditions. While Artificial Neural Networks (ANN) and Recurrent Neural Networks (RNN) have been explored for control purposes, this research applies Positive Output Super Lift Luo (P/O SLL), and Ultra Lift Luo (ULL) converters integrated with ANN and RNN controllers. These converters achieve higher output voltage increase compared to traditional converters like Boost, Cuk, and SEPIC by employing a super-lift technique. The study aims to design and implement these applications with AI-based controllers using MATLAB/Simulink. Research objectives include boosting DC voltage, minimizing power loss, optimizing voltage for varying conditions, and achieving optimized matching resistance. The optimization lies not only in integrating P/O SLL and ULL converters with ANN and RNN controllers but also in developing control algorithms that enhance adaptability and efficiency. Unlike existing approaches, the proposed system offers higher output voltage increase, reduced component stress, and improved efficiency. The AI controllers enable real-time adaptability to changing conditions, ensuring maximum energy extraction and enhanced MPPT performance. This research addresses static and dynamic learning rates in AI controllers, with static learning rates for steady-state conditions and dynamic learning rates for rapid adaptation. This dissertation provides a comprehensive solution for optimizing PV system performance, contributing to more efficient renewable energy systems and advancing PV system technology to support the global transition to sustainable energy.
Index Terms—Artificial neural network, dynamic learning rate, dc-dc converters, maximum power point tracking, photovoltaic system, recurrent neural network, static learning rate
Innovation And Deregulation: The Case Of Texas Electricity Companies
Full text linkDeregulation has played an essential role in the restructuring and development of various industries. In the energy industry, deregulation has empowered consumers by offering them more provider choices, economic security, and affordability. It has reconstructed the energy transmission, distribution, and generation processes, thereby making energy more cost-effective for customers. Most studies in this area examined the impact of deregulation from consumers’ perspectives and mainly focused on European and other non-U.S. markets. There are not many studies that examined the impact of deregulation in the energy sector of the United States.
Therefore, this study is an examination of the impact of deregulation on provider innovation in the Texas market, the largest deregulated electricity market in the United States. Using deregulation events in the Texas electricity market as natural experiments and multiple measures of innovation, this study will enhance the understanding of the relationship between deregulation and innovation in the energy sector. The researcher drew on Schumpeter’s theory of creative destruction, contestability theory, and Christensen’s disruptive innovation theory
This study has theoretical and practical implications. From a theoretical perspective, it contributes to the literature in innovation and deregulation from the viewpoint of energy utility companies. From a practitioner’s perspective, the findings of this study may assist utility companies in determining the optimal timing and allocation of resources for innovation. Furthermore, the discoveries can help policymakers in different states establish a structure for deregulation in their energy utility markets.
Keywords: deregulation, innovation, patents, Schumpeter’s theory of creative destruction, contestability theory, Christensen’s disruptive innovation theor
The Impact Of District Policy On The Efficacious Implementation Of Texas House Bill 5
Full text linkPreparing students to contribute to society is essential for every high school in the nation. Texas House Bill 5 (House Bill 5, 2013) sought to create a framework for achieving college and career readiness for Texas public schools. Counselors were the frontline mentors who had essential roles in implementing House Bill 5. However, the performance of graduation and curricular changes mandated by House Bill 5 increased the responsibilities of counselors and challenged how the policy implementation affected students\u27 college and career readiness. Numerous challenges and issues emerged within the school districts executing House Bill 5.
The success of House Bill 5 dramatically depended on how well the counselors daily implemented the policy. Counselors\u27 understanding, knowledge, and attitudes about the procedure and assessing their actions as street-level policymakers (Mansfield, 2013, p. 2) helped determine the plan\u27s ability to prepare students for post-secondary options. Suppose a counselor does not adequately understand House Bill 5 or lacks the necessary skills and support systems to implement the policy appropriately? In that case, it may result in a haphazard plan that fails to capture students\u27 interests.
This qualitative study examined counselors’ self-efficacy in implementing House Bill 5 policy at the district level for student college and career readiness preparation. The perceived self-efficacy theory introduced by Bandura (1977) was the integrative theoretical framework used in this research. This study was designed to explore the following research questions:
1. To what extent are high school counselors aware of, knowledgeable about, and understand the school district\u27s policy for implementing House Bill 5?
2. How do high school counselors introduce and promote the school district’s House Bill 5 graduation requirements and endorsement offerings to students?
3. To what extent do high school counselors effectively communicate with parents and students about pathway options, endorsement selection processes, and courses that align with each endorsement?
4. What constraints do high school counselors face in implementing House Bill 5 with lower socio-economic students in urban school districts?
Keywords: House Bill, college and career readiness, counselor self-efficac
PV Panther December 1972 Black Foxes
No full texthttps://digitalcommons.pvamu.edu/dr-robert-alphonso-henry-professional/1009/thumbnail.jp
Interview Ian Miles Gerson
No full textIn February, the artist, Ian Miles Gerson, was kind enough to grant me an interview at their studio in Houston, Texas. Their colorful, woven wearable art hangs from the ceiling and the walls. Their worktables are covered with materials that Ian has rescued from bayous in Texas and Louisiana to use in their work. We chatted as their playful dog, Ozu, vied for attention. In our conversation that is transcribed below, Ian shared their insights about their work, queerness, and other concepts important to somaesthetics