Journal of Propulsion and Power, Ahead of Print.

Journal of Propulsion and Power, Ahead of Print.

Analyzing and learning students' behavior states in classroom plays a positive role in understanding and improving the teaching effectiveness. Meanwhile, the application of lightweight network to pattern recognition has become a trend with the development of mobile networks. In order to improve the recognition accuracy of the lightweight network model MobileNetV2 and reduce the computational cost and

Planning of renewable energy based distributed generators (DG) is to be done with utmost care because of the uncertain nature of their outputs. In this paper, a multi-objective PSO based solution methodology for the DG planning problem is proposed taking into account the concerns of the grid operators, distribution network operators and the end consumers. Load shifting along with time of use pricing

The consideration of a flexible network topology has been previously shown to produce significant benefits to power system operation. In this paper, we study the effects of considering smart transmission switching actions to unlock flexible generation resources from the network. More specifically, we consider a smart network capable of performing both preventive and real-time corrective topology changes

In the field of e-mobility and automated guided vehicles, studies on a wireless power transfer (WPT) charging system have been conducted recently owing to its convenience, reliability, and positive environmental impact due to the elimination of cords. In this paper, a wireless power transfer charging system using a single-stage AC–DC converter is proposed that can be reduced in size and weight to ensure

The double-sided LCC topology provides an efficient compensation method for electric vehicle (EV) wireless charging systems. However, the existence of two compensation coils results in an electric vehicle wireless charging device with a large volume, high power consumption, and low efficiency. To solve these problems, this paper proposes a wireless charging structure in which the compensation coils

Wind and solar as two renewable energy resources are largely used to generate clean and sustainable energy in the power systems. To integrate these renewable energies in the power system, different aspects of the power system such as reliability and operation are affected that must be investigated. It is due to the variation in the generated power of these resources that are arisen from the variation

Vision is the principal source of information of the surrounding world. It facilitates our movement and development of everyday activities. In this sense, blind people have great difficulty for moving, especially in unknown environments, which reduces their autonomy and puts them at risk of suffering an accident. Electronic Travel Aids (ETAs) have emerged and provided outstanding navigation assistance

Due to the randomness and volatility of light intensity and wind speed, renewable generation and load management are facing new challenges. This paper proposes a novel energy management strategy to extend the life cycle of the hybrid energy storage system (HESS) based on the state of charge (SOC) and reduce the total operating cost of the islanded microgrid (MG). In this paper, a demand response (DR)

Switched Reluctance Motor (SRM) is an electrical motor which operates by a reluctance torque that has stator and rotor salient poles. It also has a simple configuration and reasonable power electronics necessity for both AC and DC machines within adjustable-speed drives. The problem working on it is, SRM with doubly salient poles introduce a torque ripple in its output which leads to deteriorated performance

SF6 has been extensively deployed in high voltage gas insulated equipment to be used as a dielectric medium since 1960 because of its excellent dielectric strength and arc interruption performance. This research proposes promising substitute of SF6, by investigating a refrigerant gas such as Chlorodifluoromethane (CHClF2) with a mixture of CO2/N2/Air to mitigate environmental hazards of SF6. R22 has

Hybrid renewable energy-based generation can improve the reliability in power supply. While avoiding the big cost in energy storage/battery, it is apparent that, such hybrid plants could be interlinked with the conventional power system for ensuring continuous power supply in the local area and better utilization of renewable energy sources. As generation from the renewable energy sources are intermittent

The socialization of old residential district management is an inevitable trend of urban development, but the current situation is not optimistic. According to the theory of community conflict, this paper analyzes obstacles of management socialization from four perspectives of environmental factors, opposite relations, power factors and emotional factors, and constructs an analysis system for the socialization

Modern information technology is more and more widely used in school physical education. At the same time, the application of multimedia technology is becoming more and more extensive in education. As a teaching method, multimedia has developed into an important component of modern educational technology and science, and also provides support for teaching reform. The use of multimedia organization

The paper presents an intelligent approach for the comparison of social networks through a cone model by using the fuzzy k-medoids clustering method. It makes use of a geometrical three-dimensional conical model, which astutely represents the user experience views. It uses both the static as well as the dynamic parameters of social networks. In this, we propose an algorithm that investigates which

Software-defined networking (SDN) has the ability to flexibly configure the network and is widely used in various scenarios. In SDN, different applications require the controller to deploy corresponding flow entries to maintain the effectiveness of network. However, the matching field range covered by entries of different applications may overlap, and when actions specified by these overlapping entries

This paper proposes a novel multi-scale cable model in phase-coordinates exploiting the fully-coupled structure of the nodal admittance matrix instead of using the conventional approach based on the Method of Characteristics (MoC). The usage of the admittance modeling allows a straightforward representation of cables regardless of their lengths as it does not require a minimum time-step below the transient

This paper presents a decentralized multiarea multiagent economic dispatch (DMMED) model using select meta-heuristic optimization (MO) algorithms. The previous multiarea economic dispatch (MAED) studies that used MO algorithms were centrally planned and did not include multiple independent local agents in their decision-making framework. The proposed model allows to optimize the operation of the power

This paper presents a new approach for incorporating inequality constraints into the equality-constrained weighted least squares state estimator, without modifying the way in which this estimator is formulated and solved. In this proposal, the inequality constraints are first represented as complementarity constraints, which are then transformed into equality constraints by using the Fischer-Burmeister

In this letter, a novel wideband circularly polarized (CP) crossed dipole antenna with frequency reconfiguration is proposed. By introducing two quasi‐Sierpinski fractal orthogonal dipoles printed on both sides of the substrate, compact, broadband and low cross‐polarization characteristics are achieved. The proposed antenna can be switched flexibly over two frequency bands via controlling the states

Photoacoustic spectroscopy (PAS) is a boomingly developed spectroscopic method for trace gas analysis in the past decades. Unlike traditional laser absorption spectroscopy, an acoustic transducer is employed to detect the acoustic waves instead of optical waves. Microphone is a commonly used transducer to convert the acoustic signal into electrical signal, which is related to the gas concentration

In this study, the bandpass filter characteristics in standing wave resonator formed in a two‐dimensional (2D) photonic crystal (PC) is integrated with microelectromechanical systems (MEMS) actuator to tune degenerate mode split. A single and sequentially connected indirect coupling structure consisting of waveguide as well as cavity is placed to the 2D PC. It has been shown that the modes of the bands

Mobile grid computing has been a popular topic for researchers due to mobile and IoT devices’ ubiquity and their evergrowing processing potential. While many scheduling algorithms for harnessing these resources exist in the literature for standard grid computing scenarios, surprisingly, there is little insight into this matter in the context of hybrid-powered computing resources, typically found in

The piston ring-cylinder liner (PRCL) is one of the most important parts of marine diesel engines and contributes 25% to 50% of total friction loss. The lubrication simulation analysis of the PRCL system is a challenging task. Complete understanding and precise prediction of lubrication loads is a key to understanding the friction behavior of PRCL systems as the accuracy of the friction prediction

Automatic accurate skin lesion segmentation systems are very helpful for timely diagnosis and treatment of skin cancers. Recently, methods based on convolutional neural networks (CNN) have presented powerful performances and good results in biomedical applications. In the proposed method, a novel structure based on Mask RCNN, a proposed CNN, and a geodesic segmentation method is presented to improve

Aiming at the problem of unnecessary waste of power resources in the power system caused by the uncertainty of wind farm output, and then affecting the economics of the system. This paper proposes a power system scheduling model based on wind power output forecasting errors. In the forecasting stage, in view of the defect that the Fruit Fly Optimization Algorithm (FOA) is easy to fall into the local

To maximize the velocity and energy conversion efficiency of the synchronous induction coil launcher, the pre‐analysis of the armature interception effect(AIE) is conducted, and the dynamic mathematical model of the single‐stage coil launcher is established theoretically. According to the mathematical model and analysis, the AIE is an intrinsic characteristic of the synchronous induction coil launcher

In order to solve the shortcomings of traditional orderly charging strategy, such as the inability to accurately respond to EV load, the difficulty to formulate an effective charging strategy and the lack of positive response from users. In this paper, a novel interactive network model of distribution network and electric vehicles is constructed. The optimization factor is assigned to the charging

This paper describes the research on the electrical ageing mechanism of the resin-rich molding (RRM) insulation by the dielectric response method for large generator. The dielectric properties of the RRM insulation materials with different ageing time were measured and analysed by dielectric temperature spectrum, frequency-domain spectrum (FDS) and thermally stimulated depolarization current (TSDC)

An efficient multibeam pattern synthesis method for time modulated array (TMA) is proposed in this paper. The aim of this method is to generate a beam pattern on the specified sideband of TMA. The pattern synthesis problem is divided into two stages. In the first stage, the sequential convex optimization method is used to suppress the sidelobe of the center frequency and reduce the amplitude dynamic

The construction conditions of transmission lines are becoming more and more difficult. It is necessary to find new ways to reduce the grounding resistance of poles and towers at high soil resistivity and small construction area. Conductive cement samples with graphite, stainless steel fibers, and their mixtures as conductive phases materials were prepared, the resistivity, flexural strength and compressive

The oil consumption and CO2 generation were the drives to innovate electric vehicles. At the recent years, there is large evolution in the industry of electric vehicles and in the near future, the normal vehicles may be replaced with electric vehicles. The energy consumption of these vehicles depends on the vehicle body size and weight, passengers' weight, mobility speed, and vehicle communications

High speed trains receive traction electrical energy from a high-voltage catenary via a pantograph catenary system (PCS). As the velocity of trains increases, the traditional PCSs face significant challenges, such as strong aero resistance under high-speed conditions, severe electrochemical corrosion caused by poor contact between the pantograph strip and the catenary, harmful wear both on the pantograph

The current-controlled grid-connected inverter with LCL filter is widely utilized in the distributed power generation systems at remote places with weak grids. Oscillations in weak grids have raised the stability issue in grid-tied inverter systems, and the quality of the injected power into the grid is highly affected by the variations of grid-side inductance. In this study, a multi-loop control has

Attitude control of unmanned rotorcrafts (UR) is most critical phase of flight control system design since it has main role in system stability and maneuverability. This paper presents a novel attitude control scheme for an UR. In this research, a polytypic linear parameter varying (PLPV) model of unmanned helicopter is derived based on its nonlinear dynamic model and a set of linear matrix inequalities

Connected cars have a massive impact on the automotive sector, and whilst this catalyst and disruptor technology introduce threats, it brings opportunities to address existing vehicle-related crimes such as carjacking. Connected cars are fitted with sensors, and capable of sophisticated computational processing which can be used to model and differentiate drivers as means of layered security. We generate

Conventional unit commitment problem (UCP) consists of thermal generating units and its participation schedule, which is a stimulating and significant responsibility of assigning produced electricity among the committed generating units matter to frequent limitations over a scheduled period view to achieve the least price of power generation. However, modern power system consists of various integrated

It is of great value to strengthen the comparative study of value in film English teaching. This reflects that “value education” is the core of quality education. The core of intercultural communication is “value distribution,” and “value identity” is identity. The main aspects of learning linguistics. From the perspective of film culture, it is necessary to reduce the “Chinese and English value” of

To study the influence of comprehensive nursing on self-care ability and psychological state of sufferers with coronary heart disease (CHD) after percutaneous coronary intervention (PCI). From August 2017 to June 2019, 79 patients who underwent coronary intervention in the Department of Cardiology medical of our hospital were selected as the research object. 34 subjects who received routine basic nursing

This paper presents a new network-constrained unit commitment (UC) model, which is formulated as a mixed-integer linear programming (MILP) optimization problem with embedded ac power flow (AC-PF) constraints. Piecewise linear AC-PF equations are formulated, which constrain the UC dispatch schedule within permissible transmission capacity and voltage deviation limits, solely by executing the main optimization

In recent years, indoor positioning systems (IPS) are increasingly very important for a smart factory, and the Lora positioning system based on round-trip time (RTT) has been developed. This paper introduces the ranging characterization, RTT measurement, and position estimation method. In particular, a particle filter localization method-aided Lora pseudorange fitting correction is designed to solve

Sensing navigational environment represented by navigation marks is an important task for unmanned ships and intelligent navigation systems, and the sensing can be performed by recognizing the images from a camera. In order to improve the image recognition accuracy, this paper combined a contour accentuation algorithm into a multiple scale attention mechanism-based classification model for navigation

The marine Internet technology has been proposed to exploit abundant communication and network resources available in the ocean in order to provide more cost-effective and handy network services therein. Basically, the marine Internet architecture is based on heterogeneous large-scale dynamic wireless, which consists of different types of networks such as satellite networks, coastline networks, and

nearest neighbor (NN) is a simple and widely used classifier; it can achieve comparable performance with more complex classifiers including decision tree and artificial neural network. Therefore, NN has been listed as one of the top 10 algorithms in machine learning and data mining. On the other hand, in many classification problems, such as medical diagnosis and intrusion detection, the collected

Intruders on the Internet usually launch network attacks through compromised hosts, called stepping stones, in order to reduce the chance of being detected. With stepping-stone intrusions, an attacker uses tools such as SSH to log in several compromised hosts remotely and create an interactive connection chain and then sends attacking packets to a target system. An effective method to detect such an

Opportunistic networks are becoming more and more important in the Internet of Things. The opportunistic network routing algorithm is a very important algorithm, especially based on the historical encounters of the nodes. Such an algorithm can improve message delivery quality in scenarios where nodes meet regularly. At present, many kinds of opportunistic network routing algorithms based on historical

Epilepsy is one of the most common neurological diseases of the human brain. It affects the nervous system of brain which shows the impact on an individual's life because of its repetitious occurrences of seizure. Epileptic detection using automatic learning is essential to reduce the substantial work on reviewing continuous electroencephalogram (EEG) signal in spatial and temporal dimensions. A novel

The performance of a multilevel inverter depends upon design and selection of an appropriate modulation technique. Space vector pulse width modulation (SVPWM) technique offers more flexibility than other pulse width modulation (PWM) techniques. However, conventional SVPWM technique becomes more complex for multilevel inverter because of increased number of space vectors and redundant switching states

An integrated optimization of sum and difference beam for time-modulated linear antenna array is studied in this paper. The goal of sum and difference beam synthesis is to generate sum beam in the main band and difference beams in the first-order sideband with low side-lobe level through timing switches. The turn-on times of antenna array are achieved by solving a quadratic constraint linear programming;

Purpose This paper aims to deal with the optimal choice of a novel extreme learning machine (ELM) architecture based on an ensemble of classic ELM called Meta-ELM structural parameters by using a forecasting process. Design/methodology/approach The modelling performance of the Meta-ELM architecture varies depending on the network parameters it contains. The choice of Meta-ELM parameters is important

The IEEE T ransactions on S mart G rid Editor-in-Chief and Editorial Board would like to thank and recognize the following top Associate Editors and Reviewers for their outstanding commitment and contributions to the journal in 2020, and for their indefatigable efforts, which together with those of all Associate Editors and Reviewers have helped to maintain, if not improve, the quality and relevance

In [1] , Equation (2) was printed incorrectly. It should appear as follows:

In [1] , an additional affiliation for Omar Hafez was not included. The affiliation information in the first footnote should read as follows:

In [1] , an additional affiliation for Omar Hafez was not included. The affiliation information in the first footnote should read as follows: