Results 11 to 20 of about 150,297 (266)

Design of GAA Nanosheet Ferroelectric Area Tunneling FET and Its Significance with DC/RF Characteristics Including Linearity Analyses

Nanoscale Research Letters, 2022
This work reports an emerging structure of gate-all-around ferroelectric area tunneling field-effect transistor (FATFET) by considering ferroelectric and a n-epitaxial layer enveloped around the overlapped region of the source and channel to succeed with
Narasimhulu Thoti, Yiming Li
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Many-objective evolutionary algorithm based on three-way decision

Egyptian Informatics Journal, 2023
In recent years, many-objective optimization problems have been widely used. however, with the increase of the number of objectives, the difficulty of solving increases exponentially, and the imbalance between convergence and diversity becomes more ...
Zhihua Cui, Bingting Li, Zhuoxuan Lan, Yubin Xu   +3 more
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A Nanosized-Metal-Grain Pattern-Dependent Threshold Voltage Model for the Work Function Fluctuation of GAA Si NW MOSFETs

IEEE Access, 2021
To estimate characteristic fluctuation of emerging devices, three-dimensional device simulation has been performed intensively for various random cases; however, it strongly relies on huge computational resources.
Wen-Li Sung, Yiming Li
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Workflow migration in uncertain edge computing environments based on interval many-objective evolutionary algorithm

Egyptian Informatics Journal, 2023
In edge computing (EC), when the edge server (ES) is processing tasks delivered by the mobile devices (MDs), the MDs move outside the coverage of the ES, where task migration is required to ensure service continuity.
Zhenyu Shi, Tianhao Zhao, Qi Li, Zhixia Zhang, Zhihua Cui   +4 more
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Optimal Inter-Gate Separation and Overlapped Source of Multi-Channel Line Tunnel FETs

IEEE Open Journal of Nanotechnology, 2020
This work comprises of design and simulation of multi-channel line tunnel field-effect transistors (mCLTFETs) by scaling inter-gate separation (IGS) and overlapped source (LOV).
Narasimhulu Thoti, Yiming Li, Sekhar Reddy Kola, Seiji Samukawa   +3 more
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Decomposition-based interval multi-objective evolutionary algorithm with adaptive adjustment of weight vectors and neighborhoods

Egyptian Informatics Journal, 2023
Interval multi-objective optimization problems (IMOPs) are one of the most critical optimization problems in practical applications. However, compared to deterministic multi-objective optimization problems (MOPs), there are few researchs addressing IMOP.
Yaqing Jin, Zhixia Zhang, Liping Xie, Zhihua Cui   +3 more
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FPGA Acceleration of Communication-Bound Streaming Applications: Architecture Modeling and a 3D Image Compositing Case Study

International Journal of Reconfigurable Computing, 2011
Reconfigurable computers usually provide a limited number of different memory resources, such as host memory, external memory, and on-chip memory with different capacities and communication characteristics.
Tobias Schumacher, Tim Süß, Christian Plessl, Marco Platzner   +3 more
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Electrical Characteristic and Power Fluctuations of GAA Si NS CFETs by Simultaneously Considering Six Process Variation Factors

IEEE Open Journal of Nanotechnology, 2023
Characteristic variability induced by process variation effect (PVE) is one of technological challenges in semiconductor industry. In this work, we computationally study electrical characteristic and power fluctuations induced by six factors of PVE of ...
Sekhar Reddy Kola, Yiming Li
doaj   +1 more source

Mobility-assisted big data collecting in wireless sensor networks

International Journal of Distributed Sensor Networks, 2016
In recent years, the big data emerged as a hot topic because of the rapid growth of the information and wireless communication technology. One of the significant sources of the big data is wireless sensor networks.
Jinghua Zhu, Xuming Yin, Jingsi Bai, Yake Wang   +3 more
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A Comprehensive Technique Based on Machine Learning for Device and Circuit Modeling of Gate-All-Around Nanosheet Transistors

IEEE Open Journal of Nanotechnology, 2023
Machine learning (ML) is poised to play an important part in advancing the predicting capability in semiconductor device compact modeling domain. One major advantage of ML-based compact modeling is its ability to capture complex relationships and ...
Rajat Butola, Yiming Li, Sekhar Reddy Kola   +2 more
doaj   +1 more source