Results 131 to 140 of about 14,500 (284)

A Solid State Transformer model for power flow calculations [PDF]

, 2017
This paper presents the implementation of a Solid State Transformer (SST) model in OpenDSS. The goal is to develop a SST model that could be useful for assessing the impact that the replacement of the conventional iron-and-copper transformer with the SST
Guerra Sánchez, Luis Gerardo, Martínez Velasco, Juan Antonio   +1 more
core   +2 more sources

Ultrafast in‐memory computing and highly efficient deep neural networks driven by phase‐change memory materials with partially amorphous state transitions

InfoScience, EarlyView.
This work addresses challenges including the nonlinear weight‐conductance update and the trade‐off between increasing melting uniformity and reducing solid‐to‐liquid transition time. It utilizes all four melting states to create an integrated framework for attaining in‐memory computing and deep neural network applications. The framework achieves a near‐
Kian‐Guan Lim, Shao‐Xiang Go, Qiang Wang, Dong‐Gwan Kim, Chan‐Hwi Baek, Qishen Wang, Tae Hoon Lee, Desmond K. Loke   +7 more
wiley   +1 more source

A Control Method for Static VAR Compensator Based On Modular Multilevel Inverter [PDF]

, 2009
Multilevel inverters are promised to provide a better performance in high power applications such as static VAR compensators. The proposed modular inverter has advantages compared to the conventional technologies.
Dahono, Pekik
core  

Organic neuromorphic electronics powering intelligent sensory and edge computing systems

InfoMat, EarlyView.
Organic electronic materials are promising candidates for neuromorphic sensing applications, including chemical, physical, visual, and multimodal sensing, owing to their mechanical softness, biocompatibility, and intrinsic ionic–electronic coupling.
Seungjun Woo, Minji Chung, Hyun Woo Song, Seoyoung Kim, Eun Kwang Lee, Joon Hak Oh   +5 more
wiley   +1 more source

Vector control strategies to enable equal frequency operation of the modular multilevel matrix converter

The Journal of Engineering, 2019
The modular multilevel matrix converter (M^3C) is a power converter topology for ac to ac conversion that is suitable for high-power applications. The control of this converter is complex, particularly if ac system frequencies are similar. In these cases,
Matias Diaz, Mauricio Espinosa, Felix Rojas, Pat Wheeler, Roberto Cardenas   +4 more
doaj   +1 more source

Exploring a Novel Conv‐Transformer Network for Multi‐Modality Heart Segmentation

iRADIOLOGY, EarlyView.
We propose SFAM‐TransUnet for multimodality whole heart segmentation, a novel deep learning framework combining CNNs and transformers. Extensive experiments conducted on the clinical Multi‐Modality Whole Heart Segmentation datasets demonstrate that SFAM‐TransUnet outperforms various alternative methods.
Youyou Ding, Hao Dang, Jiayi Luo, Xiaoyu Zhuo, Ningyu Huang, Junsheng Xiao, Zongwang Lv   +6 more
wiley   +1 more source

Series Hybrid Modular Multilevel Converter for HVDC Transmission Systems

IEEE Access
In this paper, a multilevel Voltage Source Converter for HVDC transmission systems is proposed. The topology is based on a string of full-bridge submodules in addition to an unfolder on the converter’s AC-side.
Ramiar Alaei, S. Ali Khajehoddin
doaj   +1 more source

Multilevel Converters: An Enabling Technology for High-Power Applications [PDF]

, 2009
| Multilevel converters are considered today as the state-of-the-art power-conversion systems for high-power and power-quality demanding applications.
García Franquelo, Leopoldo, Kouro, Samir, León Galván, José Ignacio, Martín Prats, María de los Ángeles, Portillo Guisado, Ramón Carlos, Pérez, Marcelo, Rodríguez, José   +6 more
core  

The Role of Knowledge‐Based Resources in Leveraging Business Analytics

Knowledge and Process Management, EarlyView.
ABSTRACT Business analytics enhances managerial decision‐making. To this end, previous research guides firms to combine their tangible business analytics resources, such as data and technology, with intangible knowledge‐based business analytics resources to enable that business analytics supports decision‐making.
Johanna Orjatsalo, Henri Hussinki, Aino Kianto   +2 more
wiley   +1 more source

Coupling Water Purification and Carbon Sequestration at Various Spatial Scales From Supply and Demand Perspective

Land Degradation &Development, EarlyView.
ABSTRACT Balancing ecosystem‐service supply and demand is central to understanding both the natural and social dimensions of ecosystem services and to enhancing human well‐beings. Concurrently, collaborative efforts are underway to improve multiple ecosystem services, including the promotion of carbon neutrality and water purification (WP) within basin
Jing Cheng, Mingyang Ding, Zhenya Zhu, Xinping Luo, Xin Huang, Chunbo Huang   +5 more
wiley   +1 more source