3,702 results match your criteria: "School of Electrical and Electronic Engineering[Affiliation]"

Due to the radial network structures, small cross-sectional lines, and light loads characteristic of existing AC distribution networks in mountainous areas, the development of active distribution networks (ADNs) in these regions has revealed significant issues with integrating distributed generation (DGs) and consuming renewable energy. Focusing on this issue, this paper proposes a wide-range thyristor-controlled series compensation (TCSC)-based ADN and presents a deep reinforcement learning (DRL)-based optimal operation strategy. This strategy takes into account the complementarity of hydropower, photovoltaic (PV) systems, and energy storage systems (ESSs) to enhance the capacity for consuming renewable energy.

View Article and Find Full Text PDF

Peeling wheat yields higher-quality flour. During processing in a flaking machine, wheat kernels undergo continuous compression within the machine's chamber. As this compression persists, damage to the kernels intensifies and accumulates, eventually leading to kernel breakage.

View Article and Find Full Text PDF

Metasurface-enabled broadband multidimensional photodetectors.

Nat Commun

September 2024

School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore, 639798, Singapore.

Article Synopsis
  • Light carries complex information, and traditional methods for analyzing this data require multiple specific optical components, complicating detection systems.
  • This study introduces a metasurface-assisted graphene photodetector that can simultaneously identify different polarization states and wavelengths of light (1-8 μm) with high accuracy (0.5 μm).
  • Using advanced techniques like cooperative multiport metasurfaces and machine learning, the new device allows for effective separation of polarization and wavelength information, paving the way for compact and efficient spectral-polarization co-detection.
View Article and Find Full Text PDF
Article Synopsis
  • The paper presents a new method for classifying Chronic Obstructive Pulmonary Disease (COPD) by analyzing respiratory sounds segmented into individual breaths.
  • It employs various transformations like Spectral and Wavelet Transforms, along with Complex Network analysis, to extract important features from the sound data, leading to improved representations for classification.
  • The methodology shows strong results with machine learning classifiers, especially the Random Forest algorithm which achieved a high accuracy of 99.67%, highlighting its potential for effective COPD diagnosis through lung sound analysis.
View Article and Find Full Text PDF

The lead halide perovskite (LHP) nanocrystals (NCs) research area is flourishing due to their exceptional properties and great potential for a wide range of applications in optoelectronics and photovoltaics. Yet, despite the momentum in the field, perovskite devices are not yet ready for commercialization due to degradation caused by intrinsic phase transitions and external factors such as moisture, temperature, and ultraviolet (UV) light. To attain long-term stability, we analyze the origin of instabilities and describe different strategies such as surface modification, encapsulation, and doping for long-term viability.

View Article and Find Full Text PDF

Trembling Motion of Exciton Polaritons Close to the Rashba-Dresselhaus Regime.

Phys Rev Lett

September 2024

Division of Physics and Applied Physics, School of Physical and Mathematical Sciences, Nanyang Technological University, 637371 Singapore.

We report the experimental observation of trembling quantum motion, or Zitterbewegung, of exciton polaritons in a perovskite microcavity at room temperature. By introducing liquid-crystal molecules into the microcavity, we achieve spinor states with synthetic Rashba-Dresselhaus spin-orbit coupling and tunable energy splitting. Under a resonant excitation, the polariton fluid exhibits clear trembling motion perpendicular to its flowing direction, accompanied by a unique spin pattern resembling interlocked fingers.

View Article and Find Full Text PDF

The human nervous system inspires the next generation of sensory and communication systems for robotics, human-machine interfaces (HMIs), biomedical applications, and artificial intelligence. Neuromorphic approaches address processing challenges; however, the vast number of sensors and their large-scale distribution complicate analog data manipulation. Conventional digital multiplexers are limited by complex circuit architecture and high supply voltage.

View Article and Find Full Text PDF

GFANC-RL: Reinforcement Learning-based Generative Fixed-filter Active Noise Control.

Neural Netw

December 2024

Digital Signal Processing Lab, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore.

The recent Generative Fixed-filter Active Noise Control (GFANC) method achieves a good trade-off between noise reduction performance and system stability. However, labelling noise data for training the Convolutional Neural Network (CNN) in GFANC is typically resource-consuming. Even worse, labelling errors will degrade the CNN's filter-generation accuracy.

View Article and Find Full Text PDF
Article Synopsis
  • Researchers have developed advanced flexible batteries using free-standing graphene fiber electrodes made from roller-like oriented spore carbon spheres, which enhance energy density and mechanical strength for portable electronics.* -
  • The innovative manufacturing process involves microfluidic cospinning and plasma reduction to create well-structured graphene fibers that improve electrical contact and stability.* -
  • When paired with sulfur cathodes and lithium metal anodes, these graphene fiber-based batteries show outstanding electrochemical performance, suppressing common issues like polysulfide shuttle effects and lithium dendrite growth.*
View Article and Find Full Text PDF

Advances and Applications of Oxidized van der Waals Transition Metal Dichalcogenides.

Adv Sci (Weinh)

November 2024

Department of Materials Science and Engineering, Chungnam National University, Daejeon, 34134, Republic of Korea.

The surface oxidation of 2D transition metal dichalcogenides (TMDs) has recently gained tremendous technological and fundamental interest owing to the multi-functional properties that the surface oxidized layer opens up. In particular, when integrated into other 2D materials in the form of van der Waals heterostructures, oxidized TMDs enable designer properties, including novel electronic states, engineered light-matter interactions, and exceptional-point singularities, among many others. Here, the evolving landscapes of the state-of-the-art surface engineering technologies that enable controlled oxidation of TMDs down to the monolayer-by-monolayer limit are reviewed.

View Article and Find Full Text PDF

Enhancing the Sodium Storage Performance of NaMnCr(PO) through the Manipulation of Intrinsic Site Occupation Defects.

ACS Appl Mater Interfaces

October 2024

State Key Laboratory of Advanced Electromagnetic Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China.

Article Synopsis
  • * A new method using different phosphate sources has been shown to reduce these defects, specifically in the NaMnCr(PO) compound made with NHHPO (NMCP-N).
  • * NMCP-N exhibited better sodium storage capabilities, achieving 109.7 mAh/g and 54.2% retention after 500 cycles, compared to NMCP-H, which had lower performance, indicating that controlling structural defects can significantly improve battery efficiency.
View Article and Find Full Text PDF

Interface-reinforced high-capacity fiber cathode for wearable Li-S batteries.

Natl Sci Rev

October 2024

School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore.

Fiber-shaped Li-S batteries are attractive for constructing smart textiles as flexible power solutions due to their high theoretical specific capacity, flexibility and wearability. However, severe interfacial issues, such as the shuttle effect of polysulfides on the cathode side, lead to capacity decay and poor lifespan of the batteries. Herein, we report a fiber-shaped composite cathode with collaborative interface interactions to maintain electrode integrity and boost electrochemical performance.

View Article and Find Full Text PDF

Extremely durable electrical impedance tomography-based soft and ultrathin wearable e-skin for three-dimensional tactile interfaces.

Sci Adv

September 2024

Functional Bio-integrated Electronics and Energy Management Lab, School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Republic of Korea.

In the rapidly evolving field of human-machine interfaces (HMIs), high-resolution wearable electronic skin (e-skin) is essential for user interaction. However, traditional array-structured tactile interfaces require increased number of interconnects, while soft material-based computational methods have limited functionalities. Here, we introduce a thin and soft e-skin for tactile interfaces, offering high mapping capabilities through electrical impedance tomography (EIT).

View Article and Find Full Text PDF

Strain gauge plays vital roles in various fields as structural health monitoring, aerospace engineering, and civil infrastructure. However, traditional flexible strain gauge inevitably brings the pseudo-signal caused by the substrate temperature effect and determines its accuracy. Here, we present an anisotropic composite substrate designed to modify the thermal expansion performance via Micro-electro-mechanical System (MEMS) technology, which facilitates the development of strain gauges that are minimally affected by substrate temperature-induced effect.

View Article and Find Full Text PDF

Technoeconomic analysis of solar PV electrification to remote areas of Dera Ghazi Khan: A case study.

Heliyon

September 2024

Faculty of Electrical and Computer Engineering, Bahir Dar Institute of Technology, Bahir Dar University, Amhara 6000, Ethiopia.

With the increase in population at an immense rate, electricity demand is growing exponentially. Researchers and policymakers are seeking alternating means of power generation to meet the load demand. These resources should be cost-effective, environmentally friendly and least carbon emissions.

View Article and Find Full Text PDF

Targeting senescent cells in atherosclerosis: Pathways to novel therapies.

Ageing Res Rev

November 2024

Department of Pharmacy, Personalized Drug Therapy Key Laboratory of Sichuan Province, Sichuan Academy of Medical Science & Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu 610072, China; Department of Pharmacy, Sichuan Provincial People's Hospital East Sichuan Hospital & Dazhou First People's Hospital, Dazhou 635000, China. Electronic address:

Targeting senescent cells has recently emerged as a promising strategy for treating age-related diseases, such as atherosclerosis, which significantly contributes to global cardiovascular morbidity and mortality. This review elucidates the role of senescent cells in the development of atherosclerosis, including persistently damaging DNA, inducing oxidative stress and secreting pro-inflammatory factors known as the senescence-associated secretory phenotype. Therapeutic approaches targeting senescent cells to mitigate atherosclerosis are summarized in this review, which include the development of senotherapeutics and immunotherapies.

View Article and Find Full Text PDF

Unraveling the impact of the design of current collector on dry-processed lithium-ion battery electrodes.

J Colloid Interface Sci

January 2025

State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China.

Dry processing emerges as a cost-effective technique for achieving high material loading in the field of lithium-ion battery fabrication. Nevertheless, insight into the role of current collectors in this process is still scarce. Herein, a set of dry-processed electrodes with three different current collectors is accordingly prepared and comprehensively studied.

View Article and Find Full Text PDF

Vanadium dioxide (VO) materials exhibit significant theoretical specific capacity, which is ascribed to multi-electron transfer reactions and unique tunneled structures. However, the low electronic conductivity and sluggish reaction kinetics of VO have impeded its further development. Hence, in this study, we employed a synergistic strategy of defect engineering and compositing with a calabash carbon matrix to reduce Zn diffusion barriers and accelerate electron transfer.

View Article and Find Full Text PDF

To enable the timely adjustment of the control strategy of automobile active safety systems, enhance their capacity to adapt to complex working conditions, and improve driving safety, this paper introduces a new method for predicting road surface state information and recognizing road adhesion coefficients using an enhanced version of the MobileNet V3 model. On one hand, the Squeeze-and-Excitation (SE) is replaced by the Convolutional Block Attention Module (CBAM). It can enhance the extraction of features effectively by considering both spatial and channel dimensions.

View Article and Find Full Text PDF
Article Synopsis
  • - Knee effusion is a key sign of joint diseases like osteoarthritis and is easier to spot on MRIs, but radiographs are still useful for early detection due to their lower cost and accessibility.
  • - A study analyzed 1281 radiographs using a deep learning model to automatically detect knee effusion, achieving an impressive diagnostic performance with an AUC of 0.892 and accuracy of 80.3%.
  • - The deep learning model not only surpassed traditional methods and non-orthopedic physicians but also provided visual explanations for its findings, aiding in quicker and more accurate diagnoses, ultimately enhancing patient care and reducing costs.
View Article and Find Full Text PDF

Self-inspired learning for denoising live-cell super-resolution microscopy.

Nat Methods

October 2024

Innovation Photonics and Imaging Center, School of Instrumentation Science and Engineering, Harbin Institute of Technology, Harbin, China.

Article Synopsis
  • The text discusses a new method called SN2N that enhances live-cell super-resolution microscopy by using deep learning to denoise images.
  • SN2N operates with self-supervised data generation, requiring only one noisy image for training, which eliminates the need for large datasets of clean images.
  • This innovative approach significantly boosts photon efficiency and works well with various imaging techniques, potentially leading to advancements in live-cell imaging quality.
View Article and Find Full Text PDF

Dual LSPR and CT synergy: 3D urchin-like Au@WO enables highly sensitive in-situ SERS detection of dissolved furfural in insulating oils.

Talanta

January 2025

State Key Laboratory of Power Transmission Equipment Technology, School of Electrical Engineering, Chongqing University, Chongqing, 400044, China; National Innovation Center for Industry-Education Integration of Energy Storage Technology, Chongqing University, Chongqing, 400044, China. Electronic address:

Assessing the levels of furfural in insulating oils is a crucial technical method for evaluating the degree of aging and mechanical deterioration of oil-paper insulation. The surface-enhanced Raman spectroscopy (SERS) technique provides an effective method for enhancing the sensitivity of in-situ detection of furfural. In this study, a homogeneous three-dimensional (3D) urchin-like Au@WO heterostructure was synthesized as a SERS substrate using a straightforward hydrothermal method.

View Article and Find Full Text PDF

As the demand for specialized and diversified pressure sensors continues to increase, excellent performance and multi-applicability have become necessary for pressure sensors. Currently, flexible pressure sensors are primarily utilized in fields such as health monitoring and human-computer interaction. However, numerous complex extreme environments in reality, including deep sea, corrosive conditions, extreme cold, and high temperatures, urgently require the services of flexible devices.

View Article and Find Full Text PDF
Article Synopsis
  • The brain manages mental effort during difficult decisions by balancing cognitive resources used against the expected costs and benefits of those decisions.
  • A proposed computational model called online metacognitive control of decisions (oMCD) represents this resource allocation problem as a Markov Decision Process, allowing for optimal decision-making strategies.
  • oMCD effectively explains key aspects of decision-making like choice, confidence, and response time, while aligning with existing research on value-based decision-making and related neurocognitive theories.
View Article and Find Full Text PDF