A5029774958- Semiconductor Quantum Structures and Devices
- Semiconductor Lasers and Optical Devices
- Photonic and Optical Devices
- Energy Efficient Wireless Sensor Networks
- Energy Harvesting in Wireless Networks
- Advanced Algorithms and Applications
- Indoor and Outdoor Localization Technologies
- Speech and Audio Processing
- Opportunistic and Delay-Tolerant Networks
- Microwave Engineering and Waveguides
- Domain Adaptation and Few-Shot Learning
- Traffic control and management
- Anomaly Detection Techniques and Applications
- Transportation and Mobility Innovations
- Radio Frequency Integrated Circuit Design
- Autonomous Vehicle Technology and Safety
- Transportation Planning and Optimization
- Speech Recognition and Synthesis
- Spectroscopy and Laser Applications
- IPv6, Mobility, Handover, Networks, Security
- Superconducting and THz Device Technology
- Advanced Computational Techniques and Applications
- Dental Radiography and Imaging
- Innovative Energy Harvesting Technologies
- Multimodal Machine Learning Applications
Zhejiang Chinese Medical University
2024
George Washington University
2016-2024
Sinopec (China)
2024
University of California, Merced
2022-2023
Southern University of Science and Technology
2023
Beijing Jiaotong University
2004-2022
Nanchang Hangkong University
2022
Sichuan University
2004-2021
Florida State University
2021
Stony Brook University
2015-2020
Traditional taxi systems in metropolitan areas often suffer from inefficiencies due to uncoordinated actions as system capacity and customer demand change. With the pervasive deployment of networked sensors modern vehicles, large amounts information regarding status can be collected real time. This provides opportunities perform various types control coordination for large-scale intelligent transportation systems. In this paper, we present a receding horizon (RHC) framework dispatch taxis,...
The fuzzy c-means (FCM) algorithm is one of the most frequently used clustering algorithms. weighting exponent m a parameter that greatly influences performance FCM. But there has been no theoretical basis for selecting proper in literature. In this paper, we develop new approach to Based on approach, reveal relation between stability fixed points FCM and data set itself. This provides numerical experiments verify effectiveness our conclusion.
As one of the most important deep learning models, convolutional neural networks (CNNs) have achieved great successes in a number applications such as image classification, speech recognition and nature language understanding. Training CNNs on large data sets is computationally expensive, leading to flurry research development open-source parallel implementations GPUs. However, few studies been performed evaluate performance characteristics those implementations. In this paper, we conduct...
When it becomes completely possible for one to computationally forecast the impacts of harmful substances on humans, would be easier attempt addressing shortcomings existing safety testing chemicals. In this paper, we relay outcomes a community-facing DREAM contest prognosticate nature environment-based compounds, considering their likelihood have disadvantageous health-related effects human populace. Our research quantified cytotoxicity levels in 156 compounds across 884 lymphoblastic lines...
The influence of p-type modulation doping on self-organized quantum-dot lasers is studied using a quasiequilibrium model that includes the multi-discrete energy levels and wetting layer. Calculations are presented showing laser performance can be greatly enhanced through p-doping that, in contrast to planar quantum-well lasers, requirements moderate. Optimized cavity lengths found, threshold temperature characteristics determined for these lengths. shows close spacing discrete hole severely...
Abstract The Interband Cascade Laser (ICL) represents a significant class of mid-infrared lasers, offering valuable applications across range scientific and technological domains. conventional approach to designing ICL relies on the expertise designers extensive simulation tests, which is time-consuming restricts flexibility design process. In this paper, we present an automated wavefunction identification program that rapidly accurately identifies key wavefunctions in band diagrams using...
A nonequilibrium rate equation model is presented and analyzed for the self-organized quantum dot (QD) laser. The assumes QD zero dimensional levels are coupled to a thermal electron distribution in wetting layer through reservoir equations. By including energy dependence of versus temperature, accounts spectral narrowing gain with increasing negative temperature coefficient lasing threshold, reduction hole burning all found experimentally lasers.
We study a class of generic optimization problems on charger scheduling and charging path planing. These arise from emerging networking applications where mobile chargers are dispatched to deliver energy agents (e.g., robots, drones, vehicles), which have specified tasks mobility patterns. instantiate our work by focusing finding the maximizing number nodes charged within fixed time horizon. prove that this problem is APX-hard. By recursively decomposing into sub-problems searching...
Daily toothbrushing is essential for maintaining oral health. However, there very limited technology to monitor the effectiveness of at home. In this paper, a system built brushing quality on all 16 tooth surfaces using manual toothbrush and an off-the-shelf wrist watch. The modified by attaching small magnets handle, so that its orientation motion can be captured magnetic sensor in gestures are recognized based inertial sensing data from As acoustic signal collected watch correlated with...
Acoustic Echo Cancellation (AEC) plays a key role in voice interaction. Due to the explicit mathematical principle and intelligent nature accommodate conditions, adaptive filters with different types of implementations are always used for AEC, giving considerable performance. However, there would be some kinds residual echo results, including linear residue introduced by mismatching between estimation reality non-linear mostly caused components on audio devices. The can reduced elaborate...
"Hands on the wheel, eyes road" is central guideline of safe vehicle driving practices. Many advanced driver assistance systems can effectively detect abnormal motions. However, these often leave insufficient time for drivers to respond complex road situations, especially when are distracted. To reduce accidents, it essential whether a complies with guidelines in real and provide warnings early before any dangerous maneuvers occur. There vision-based distraction monitoring which rely cameras...
We consider the problem of deployment cameras inside a complex indoor setting for surveillance applications. formulate minimum guarding network that places number satisfying both visual coverage domain and wireless connectivity. prove finding in geometric discrete is NP-hard. also give 2-approximation algorithm to network. Motivated by connection this with watchman tour art gallery problem, we develop two algorithms generate satisfactory results prototype testbed our simulations.
Traditional taxi systems in metropolitan areas often suffer from inefficiencies due to uncoordinated actions as system capacity and customer demand change. With the pervasive deployment of networked sensors modern vehicles, large amounts information regarding status can be collected real time. This provides opportunities perform various types control coordination for large-scale intelligent transportation systems. In this paper, we present a receding horizon (RHC) framework dispatch taxis,...
To achieve device-free person detection, various types of signal features, such as moving statistics and wavelet representations, have been extracted from the Wi-Fi Received Signal Strength Index (RSSI), whose value fluctuates when human subjects move near transceivers. However, these features do not work effectively under different deployments transceivers because each transceiver has a unique RSSI fluctuation pattern that depends on its specific wireless channel hardware characteristics....
Data are first presented on spontaneous and laser emission of p-doped undoped quantum dot (QD) heterostructures to characterize the increase in optical gain p-type modulation doped QD lasers. Because due p-doping should also differential gain, but does not greatly speed present lasers, we further examine nonequilibrium electron transport effects active material that may still limit speed. Electron through wetting layer caused by nonlasing QDs ensemble is shown be capable substantially...
Electron capture from a quantum dot's (QDs) wetting layer is described by Fermi's golden rule that relates the transition rate to density of final states. The causes brief nonequilibrium electron distribution between QD ground state and its states can slow laser's modulation response. This effect studied for time constants conditions relevant self-organized InAs QDs. It shown even moderately fast consistent with present low temperature measurements limit speed.
With the rapid development of Internet technology, network technology has penetrated into every part economic society. However, due to open and anonymity inherent characteristics, leading security become a major obstacle web application. How guarantee transmission sensitive information effectively becomes focus user. In this case, Secure Sockets Layer(SSL) emerges as times require. We study implementation process SSL Handshake Protocol based on analyzes Layer protocol implement mechanism [17].
Internet of Things (IoT) is one the targeted application scenarios fifth generation (5G) wireless communication. IoT brings a large amount data transported on network. Considering those data, machine learning (ML) algorithms can be naturally utilized to make network efficiently and reliably. However, how fully apply ML driven still open. The fundamental reason that communication pursuits high capacity quality facing challenges from varying fading channel. So in this paper, we explore...