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- research-articleJuly 2024
Adaptive Impedance Control for Force Tracking of the Chewing Robot
AIMSCM '23: Proceedings of the 2023 International Conference on AI and Metaverse in Supply Chain ManagementArticle No.: 3, Pages 1–5https://doi.org/10.1145/3648050.3648060Due to the complexity of occlusal contact, force and trajectory tracking is a crucial problem for the chewing robots. A position-based impedance control is proposed to realize hybrid control of chewing force and chewing trajectory in this paper. To ...
- research-articleSeptember 2023
Designing Learning-Based Adversarial Attacks to (MIMO-)OFDM Systems With Adaptive Modulation
IEEE Transactions on Wireless Communications (TWC), Volume 22, Issue 9Pages 6241–6251https://doi.org/10.1109/TWC.2023.3240970With the development of 5G, 6G, and beyond, wireless communications have taken a vital role in our daily life. The wide adoption of wireless devices and applications makes security of the wireless transmissions more critical. Many attacks aiming at ...
- research-articleMarch 2023
Mitigating Clipping Distortion in Multicarrier Transmissions Using Tensor-Train Deep Neural Networks
IEEE Transactions on Wireless Communications (TWC), Volume 22, Issue 3Pages 2127–2138https://doi.org/10.1109/TWC.2022.3209188Multicarrier transmissions, such as orthogonal frequency/chirp division multiplexing (OF/CDM), offer high spectral efficiency and low complexity equalization in multipath fading channels at the cost of high peak-to-average power ratio (PAPR). High peak ...
- research-articleJanuary 2021
An Improved Deep Learning Network Structure for Multitask Text Implication Translation Character Recognition
With the rapid development of artificial intelligence technology, multitasking textual translation has attracted more and more attention. Especially after the application of deep learning technology, the performance of multitask translation text detection ...
- doctoral_thesisJanuary 2020
Functional Genomics of Air Breathing in Catfish
AbstractChannel catfish (Ictalurus punctatus), tra catfish (Pangasianodon hypophthalmus) and walking catfish (Clarias macrocephalus) all belong to order Siluriformes, but I. punctatus does not possess an air breathing organ (ABO) and thus cannot breath in ...
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- research-articleJanuary 2020
Analyzing Upper Bounds on Mean Absolute Errors for Deep Neural Network-Based Vector-to-Vector Regression
IEEE Transactions on Signal Processing (TSP), Volume 68Pages 3411–3422https://doi.org/10.1109/TSP.2020.2993164In this paper, we show that, in vector-to-vector regression utilizing deep neural networks (DNNs), a generalized loss of mean absolute error (MAE) between the predicted and expected feature vectors is upper bounded by the sum of an approximation error, an ...
- research-articleDecember 2019
Designing OCDM-Based Multi-User Transmissions
2019 IEEE Global Communications Conference (GLOBECOM)Pages 1–6https://doi.org/10.1109/GLOBECOM38437.2019.9013425Orthogonal chirp division multiplexing (OCDM) is a fairly new multi-carrier scheme that employs the discrete Fresnel transform (DFnT) to digitally modulate data onto orthogonal chirps. Most work surrounding OCDM has been done in the context of optical ...
- posterOctober 2019
Reinforcement learning based interconnection routing for adaptive traffic optimization
NOCS '19: Proceedings of the 13th IEEE/ACM International Symposium on Networks-on-ChipArticle No.: 17, Pages 1–2https://doi.org/10.1145/3313231.3352369Applying Machine Learning (ML) techniques to design and optimize computer architectures is a promising research direction. Optimizing the runtime performance of a Network-on-Chip (NoC) necessitates a continuous learning framework. In this work, we ...
- research-articleJune 2019
Off-topic Detection Model based on Biterm-LDA and Doc2vec
HPCCT '19: Proceedings of the 2019 3rd High Performance Computing and Cluster Technologies ConferencePages 157–161https://doi.org/10.1145/3341069.3342989Chinese writing in primary and secondary schools occupies an extremely important position in Chinese education. With the advent of natural language processing, the automatic e ssay review system has gradually matured, which has greatly promoted the ...
- research-articleAugust 2018
Improving TCP Congestion Control with Machine Intelligence
NetAI'18: Proceedings of the 2018 Workshop on Network Meets AI & MLPages 60–66https://doi.org/10.1145/3229543.3229550In a TCP/IP network, a key to ensure efficient and fair sharing of network resources among its users is the TCP congestion control (CC) scheme. Previously, the design of TCP CC schemes is based on hard-wiring of predefined actions to specific feedback ...
- articleMay 2018
Edge-disjoint spanning trees and the number of maximum state circles of a graph
Journal of Combinatorial Optimization (SPJCO), Volume 35, Issue 4Pages 997–1008https://doi.org/10.1007/s10878-018-0249-yMotivated by the connection with the genus of unoriented alternating links, Jin et al. (Acta Math Appl Sin Engl Ser, 2015) introduced the number of maximum state circles of a plane graph G, denoted by $$s_{\max }(G)$$smax(G), and proved that $$s_{\max }(...
- research-articleMarch 2017
Asynchronous Multi-User Uplink Transmissions for 5G with UFMC Waveform
2017 IEEE Wireless Communications and Networking Conference (WCNC)Pages 1–5https://doi.org/10.1109/WCNC.2017.7925640Universal filtered multi-carrier (UFMC) has been widely researched for 5G communication systems. In this paper, we propose a new UFMC receiver model and signaling structure to support asynchronous transmissions. Since the UFMC transmitter contains sub-...
- research-articleDecember 2016
MIMO Wireless Secure Communication Using Data-Carrying Artificial Noise
IEEE Transactions on Wireless Communications (TWC), Volume 15, Issue 12Pages 8051–8062https://doi.org/10.1109/TWC.2016.2611581In MIMO wireless channels, channel estimation can provide a source of randomness common to sender and receiver that may be used to generate secret keys. These keys can provide information theoretically secure communication. Alternatively, a known MIMO ...
- research-articleSeptember 2016
Ultrawideband Tomographic Imaging in Uncalibrated Networks
IEEE Transactions on Wireless Communications (TWC), Volume 15, Issue 9Pages 6474–6486https://doi.org/10.1109/TWC.2016.2585141This paper considers the problem of tomographic area mapping using radio frequency measurements gathered by a network of mobile nodes. Termed radio tomographic imaging, the technique has shown potential for object tracking, imaging static obstacles, and ...
- research-articleAugust 2016
ALAVIT
Digital Signal Processing (DISP), Volume 55, Issue CPages 13–21https://doi.org/10.1016/j.dsp.2016.04.010It is well-known that the layered transmission for video bit-streams generated by a layered coding can gracefully accommodate the receivers' heterogeneity in wireless networks. In this paper, we propose a new layered video transmission scheme employing ...
- research-articleMay 2016
VLSI implementation of incremental fixed-complexity LLL lattice reduction for MIMO detection
2016 IEEE International Symposium on Circuits and Systems (ISCAS)Pages 1898–1901https://doi.org/10.1109/ISCAS.2016.7538943Lenstra-Lenstra-Lovász (LLL) algorithm is a common technique for lattice reduction (LR) aided multiple-input multiple-output (MIMO) detectors. This paper presents the first VLSI implementation of a recently published Incremental fixed-complexity LLL ...
- research-articleMay 2016
Efficient Greedy LLL Algorithms for Lattice Decoding
IEEE Transactions on Wireless Communications (TWC), Volume 15, Issue 5Pages 3560–3572https://doi.org/10.1109/TWC.2016.2523513The Lenstra-Lenstra-Lovász (LLL) algorithm has been adopted as a lattice reduction (LR) technique for multiple-input multiple-output (MIMO) communications to improve performance with low complexity. However, implementing the LLL algorithm is still ...
- research-articleMarch 2016
Fixed-complexity variants of the effective LLL algorithm with greedy convergence for MIMO detection
2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)Pages 3826–3830https://doi.org/10.1109/ICASSP.2016.7472393Effective Lenstra-Lenstra-Lovász (ELLL) algorithm is a common low-complexity lattice reduction (LR) technique adopted in LR-aided successive interference cancellation (SIC) multiple-input multiple-output (MIMO) detectors. However, the original ELLL ...
- research-articleFebruary 2016
Secure Space-Time Communications Over Rayleigh Flat Fading Channels
IEEE Transactions on Wireless Communications (TWC), Volume 15, Issue 2Pages 1491–1504https://doi.org/10.1109/TWC.2015.2490678In this paper, we consider the wire-tap channel model consisting of three users, namely, a transmitter, a legal receiver, and an eavesdropper, where the eavesdropper has possible unlimited centralized or distributed multiple antennas, while the legal ...
- research-articleNovember 2015
Distributed Sparsity-Aware Sensor Selection
IEEE Transactions on Signal Processing (TSP), Volume 63, Issue 22Pages 5951–5964https://doi.org/10.1109/TSP.2015.2460224The selection of the minimum number of sensors within a network to satisfy a certain estimation performance metric is an interesting problem with a plethora of applications. The problem becomes even more interesting in a distributed configuration when ...