ABSTRACT
This paper deals a detailed study, control and energy management of a solar vehicle Multisource Power Supply. A PVG is used as the principal energy source and the batteries are used as secondary/storage source. The use of this last source can reduce strongly the power stress imposed on the primary source. The power sources (PVG- battery) ...
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The on-load tap changing (OLTC) regulators have been widely used in various industry. The main function of OLTC is to change the turns of transformer winding, so that the voltage variations are limited without interrupting the secondary current. In other word the voltage can be regulated with the changer without any supply interruption using ANN co...
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The on-load tap changing (OLTC) regulators have been widely used in various industry. The main function of OLTC is to change the turns of transformer winding, so that the voltage variations are limited without interrupting the secondary current. In other word the voltage can be regulated with the changer without any supply interruption using ANN co...
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The major obstacle for learning-based RF sensing is to obtain a high-quality large-scale annotated dataset. However, unlike visual datasets that can be easily annotated by human workers, RF signal is non-intuitive and non-interpretable, which causes the annotation of RF signals time-consuming and laborious. To resolve the rapacious appetite of anno...
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Most State-Of-The-Art (SOTA) Neural Machine Translation (NMT) systems today achieve outstanding results based only on large parallel corpora. The large-scale parallel corpora for high-resource languages is easily obtainable. However, the translation quality of NMT for morphologically rich languages is still unsatisfactory, mainly because of the dat...
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Knee osteoarthritis (KOA) as a disabling joint disease has doubled in prevalence since the mid-20th century. Early diagnosis for the longitudinal KOA grades has been increasingly important for effective monitoring and intervention. Although recent studies have achieved promising performance for baseline KOA grading, longitudinal KOA grading has bee...
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Deep learning (DL) has proved successful in medical imaging and, in the wake of the recent COVID-19 pandemic, some works have started to investigate DL-based solutions for the assisted diagnosis of lung diseases. While existing works focus on CT scans, this paper studies the application of DL techniques for the analysis of lung ultra sonography (LU...
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AQFP (adiabatic quantum-flux-parametron) circuits are currently verified by analog-based simulation, which would be an obstacle for large-scale circuits design. In this paper, we present a logic simulation model for AQFP logic. We made a functional model based on a finite-state machine approach using a hardware description language (HDL), which ena...
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Solar energy is a promising alternative energy source for a sustainable pollution-free future. But certain factors such as solar irradiation, lack of sunlight during night hours etc. degrade or diminish the scope of solar power. To address with this problem MPPT technique is used here. Due to the requirements of high efficiency, reliability, power ...
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This letter proposes a novel soft-switched single-stage-isolated dc-ac converter topology from the industry point of view. The proposed converter requires a lesser number of MOSFETs compared to a widely studied cycloconverter-type (CCT)-isolated dc-ac converter topology. This converter provides lower duty cycle loss, better efficiency, and electrom...
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In the downtowns, underground cables are used rather than of overhead transmission lines. It is hard to go through the specific spot of the shortcomings. As India become prominent as a progression country, civilized field is too boosting every day. The underground lines are beat under the same circumstances its uses is additionally growing a result...
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Gathering information from distribution transformers is very important in order to monitor and control the entire electric distribution grid efficiently and reliably. It acts as a decision support system to assist the grid operation engineers with information helps to estimate the load, fix problems and identify the week points in the grid. The obj...
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Any distribution network is prone to faults, and intermittency in power availability creates loss for the supplier as well as user. Majorly, a supply line can be effected by conditions of overvoltage and overcurrent, also under-voltage condition. During the occurrence of any fault, the incident goes unreported for long duration. Manual reporting ca...
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This paper proposes a new ZigBee-based communication for multifunctional electronic current transformers (ECTs), which are used in overhead and underground line monitoring. To tackle ZigBee’s low transmission rate, the proposed method involving a transmission strategy can make the ZigBee-based communication satisfy both measurable and protective pu...
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The cross-lingual sentiment analysis (CLSA) aims to leverage label-rich resources in the source language to improve the models of a resource-scarce domain in the target language, where monolingual approaches based on machine learning usually suffer from the unavailability of sentiment knowledge. Recently, the transfer learning paradigm that can tra...
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This brief presents an inductorless gm-boosted wideband balun low noise amplifier (LNA) for low power sub-GHz IoT applications. The proposed common source (CS) -common gate (CG) based gm-boosted balun LNA uses nMOS-pMOS configuration for doubling the transconductance and gain efficiency. Loads of CS and CG stages are capacitively coupled to remove ...
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An optimized three-dimensional one-step leapfrog finite-difference time-domain (FDTD) method has been investigated, which is with a weakly conditional stability (WCS) to reduce numerical dispersion further. By introducing the artificial anisotropy parameters in a cross-correspondence manner, the phase velocity error is effectively limited without a...
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Providing sufficient damping over the full frequency range of low-frequency oscillation (LFO) is a challenge in modern power systems. The flexible excitation system with two damping channels, controlled by the power system stabilizer (PSS) and the reactive power damping controller (RPDC), respectively, provides a new way to solve this problem. The ...
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This letter studies the impact of auto-correlation of stochastic processes on the dynamic response of power systems. The frequency spectrum of the trajectories of the state variables of the system is utilized as a metric to evaluate this impact. The case study considers the well- known two-area system as well as with a 1479-bus dynamic model of the...
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Phase sequence exchange (PSE) is a recently developed emergency control technology. PSE uses power electronic devices to switch the three-phase sequence, which reduces the power angle of the generator by 120 and prevents the system from losing stability. In this work, the structure of the PSE device is improved. Based on the original nine solid-sta...
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Novel cable traction power supply system (NCTPSS) is a kind of long distance co-phase traction power supply system (TPSS), it can effectively solve problems caused by train's passing through electrical phase separation and improve utilization rate of regenerative energy in system, which is an ideal traction power supply mode. However, its structure...
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Fifth harmonic voltages and currents have been measured in some extra high voltage (EHV) power transmission systems. This paper contains a discussion and explanation of this phenomenon. The emphasis is on the impact of overexcitation of power transformers in EHV systems. Examples of measurements taken in 500 kV substations are illustrated and r...
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Optical ultrasonic sensor multiplexing for partial discharge (PD) detection based on a single photodetector is a challenging task. In this paper, we propose a novel multiplexed optical ultrasonic sensing system based on swept frequency interferometry. Optical ultrasonic sensor multiplexing is achieved using different carrier frequencies that depend...
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Linear power supplies (LPSs) are widely used in fields including measurement systems, radiofrequency systems, medical applications, nuclear power plants, and spacecraft electronics. Electrolytic capacitors are used in a variety of devices because of their small size, low cost, and large capacity. During the use of electrolytic capacitor, it is very...
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The switching operations of circuit breakers and disconnectors in substations can generate very fast transients, including transient earth voltage rise and intense electromagnetic radiation, causing severe disturbance of on-site electronic devices in substations and seriously affecting the development of smart power equipment. The power supply of a...
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Recently, several convex relaxations have been successfully applied to solve the AC optimal power flow (OPF) problem, which has caught the attention of the research community. Among these relaxations, a relaxation based on semidefinite programming (SDP) stands out. Accordingly, in this work a methodology to solve the optimal reactive power dispatch...
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Social media is a popular medium for the dissemination of real-time news all over the world. Easy and quick information proliferation is one of the reasons for its popularity. An extensive number of users with different age groups, gender, and societal beliefs are engaged in social media websites. Despite these favorable aspects, a significant disa...
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Graph node embedding aims at learning a vector representation for all nodes given a graph. It is a central problem in many machine learning tasks (e.g., node classification, recommendation, community detection). The key problem in graph node embedding lies in how to define the dependence to neighbors. Existing approaches specify (either explicitly ...
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This paper presents an asset health index (HI) prediction methodology for high voltage transmission overhead lines (OHLs) using supervised machine learning and structured, unambiguous visual inspections. We propose a framework for asset HI predictions to determine the technical condition of individual OHL towers to improve grid reliability in a cos...
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The main objective of the project is to implement the “Automatic grinder” which will do all the process of the normal grinder automatically.
Microcontroller is used to control all the process of the grinder.
In automatic grinder there is no need of man power,
the only work is to drop the rice in the grinder, like
washing machine.
Th...
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The main objective of the project is to implement the “Automatic grinder” which will do all the process of the normal grinder automatically.
Microcontroller is used to control all the process of the grinder.
In automatic grinder there is no need of man power,
the only work is to drop the rice in the grinder, like
washing machine.
Th...
|
The main objective of the project is to implement the “Automatic grinder” which will do all the process of the normal grinder automatically.
Microcontroller is used to control all the process of the grinder.
In automatic grinder there is no need of man power,
the only work is to drop the rice in the grinder, like
washing machine.
Th...
|
Deep learning (DL) has proved successful in medical imaging and, in the wake of the recent COVID-19 pandemic, some works have started to investigate DL-based solutions for the assisted diagnosis of lung diseases. While existing works focus on CT scans, this paper studies the application of DL techniques for the analysis of lung ultra sono graphy (L...
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