بحوث سكوبس — عمر أحمد نعيم

This work is devoted to the study of a new control approach of conventional inverters within lattice generation made up of solar DG (distributed generation). The evaluation of the performance of three essential control mechanisms was achieved through multiple tests and observations: Maximum Power Point Tracking (MPPT) module, voltage regulation, and current regulation. In performing experiments, MATLAB/Simulink emulation environment was used, considering the complexity of control system, ensuring system stability, and meeting state regulatory requirements. In this way, the fact that MPPT is superior seems to be clear since a better power yield of 12 kW can be reached and it is 20% higher than the old systems. Voltage regulation identified that the existing systems was quite reliable, with all deviations having a band of ±0.5%. The recent control system enforced the network’s required fulfilment as well as ensured the flow of current that is within an appropriate range of 22 A. This sophisticated control in turn helped to improve the effectiveness of all other control processes that was way better compared to the simulated results; with the MPPT control reaching 88% effectiveness. Contrasting with the reference materials verified our findings, enabling us to discuss the merits and the drawbacks of such an approach in supporting the integration of renewable energy into our energy mix. © 2025, Diogenes Co. Ltd.. All rights reserved.

This article proposes the basic way of behaving of the quantum Sherrington-Kirkpatrick (SK) model at nothing and limited temperatures is examined. Through the investigation of the Binder cumulate, the entire stage chart of the model has been distinguished, and the connection length type has been gotten from the scaling examination of the mathematical information. The creator has noticed, at a restricted temperature, a change from old style to quantum-variance overwhelmed values for both the basic Binder cumulate and the relationship length example. The way of behaving of the request boundary appropriation of the model in the glass stage has been explored (at limited and zero temperatures). Notwithstanding a nonergodic zone overwhelmed by old style changes (where imitation balance is disregarded), the creators found a low-temperature ergodic locale overwhelmed by quantum vacillations in the optics stage. In this quantum-vacillation overwhelmed region, the request boundary dissemination has a minuscule top around its most probable worth, steadily moving toward a delta capability in the restriction of limitless framework size (demonstrating copy balance rebuilding or periodicity in the framework). In light of the investigation of the autocorrelation of the twists in both ergodic and nonergodic districts, the creators found a huge reduction in the unwinding time (as well as an adjustment of the unwinding conduct) in the quantum-vacillation overwhelmed (ergodic) locale of the optics stage contrasted with the traditional change ruled (nonergodic) locale. While strengthening courses get through this ergodic region, the tempering chance (to achieve an extremely low energy level of the conventional SK model) turns out to be essentially framework size free. © 2022 Elsevier GmbH

The railway industry is one of the most sustainable modes of transport. To reduce the carbon footprints, renewable energy sources are initiated. The proposal of attaching solar panels to railway sleepers, smart garbage bin, lighting, automatic closing and opening of doors that are accompanied with real time monitoring system with multiple technologies. Among the multiple technology the Internet of Things (IoT) plays a significant role by sending information and monitoring the overall functions. The solar energy obtained is used to generate electricity and further they are stored in battery for future usage. © 2023 IEEE.

In this letter we analysed the efficient exchange of orbital angular momentum (OAM) of light in a double V-type semiconductor quantum well via electron spin coherence. We found that due to the four-wave mixing (FWM) mechanism the OAM state of the vortex light can transfer from applied lights to a new generated signal beam when the efficiency of the FWM processes is enough high. We also shown that the absorption spectrum of the new generated light depends on the OAM number and azimuthal angle of the optical vortex light. We realized that for some specific parametric conditions the absorption spectrum of the generated light becomes negative which corresponds to the lasing without inversion. © 2022 Astro Ltd.

The spectrogram is defined as the visual representation of the signal strength with a particular interval of time regarding frequencies in the appropriate waveform. It is demonstrated using the Fourier transform. It is illustrated in a three-dimensional plot of signal composed with amplitude versus frequency and time. They are classified as long signal sections and short signal sections with filters. It demonstrates the consecutive spectacle of the sound signal at a particular interval of time. The time-frequency representation of audio signals is obtained through spectrograms. This helps in the understanding of the speech data. Machine learning plays an important role in the identification of the relevant features in the spectrogram. The intricate patterns in the time and frequency domains are represented through CNN and RNN. These models are trained and tested through a large dataset which includes both clean and noisy speech samples. This helps to learn complex interrelationships and patterns associated with varied environmental conditions and interference systems. The computational demands of these systems are handled through the cloud computing techniques. They provide a platform for effective solutions for performing real-time interference. These cloud services provide various collaborations to numerous models to achieve desired outcomes. The proposed system provides higher adaptability in varied environmental and noisy profiles. Thus the integration of cloud computing with machine learning provides real-time processing with a natural seamless user experience. © 2023 IEEE.

The adaptive Joint Photographic Experts Group 2000 (JPEG2000) image compression approach employing the wavelet image transform had proposed with the rise of the optimized Video Internet of Things (VIoT) using image transmission security using Elliptic Curve Cryptography (ECC) techniques. Compressive Sensing (CS) for periodic data transfers has shown to be an excellent option for Wireless Sensor Networks (WSNs) since CS-based sensor communications drastically reduce data transmissions and enhance energy efficiency. However, another issue that arises when utilizing the optimized VIoT with image transmission compression is data loss as a result of various security risks during transmission. The numerous cooperative communication strategies proved their feasibility in different ways. However, additional issues must be handled while handling image transmission in VIoT. For example, when preparing to transmit an image, you may expend a lot of energy. The main objective of this paper is to increase image quality while minimizing processing time and error rates. However, force aptitude is vital to the research problem for the Wireless Multimedia Sensor Network (WMSN), as high-dimensional digital images use greater processing capabilities of sensor nodes. The image in WMSN is transmitted through a large number of relays. The experimental findings demonstrate the effectiveness of the suggested paradigm. © 2022

This paper is primarily committed to three primary angles concerning photovoltaic based DG. The fundamental perspective being the reduction of influence changes in daylight based photovoltaic and the Reduction of influence distribution in the framework of the system. According to the unpredictable changes credited to the wide range of sun situated radiations. Further, the sizing related issues and region of a SPV based DG may cause a ton of influence concerns effecting the overall DG system operation and its efficiency. The second region of concern is the method used in the control of the DG and its feasibility to diminish framework influence issues. Another area of concern is network interconnection, through the appropriate introduction of RES into the ordinary grid for supportable and stable activity. This has been managed through an extensive contextual analysis of an operational system. © 2021, Semnan University, Center of Excellence in Nonlinear Analysis and Applications. All rights reserved.