A5017413237- Network Traffic and Congestion Control
- Simulation and Modeling Applications
- Advanced Sensor and Control Systems
- Embedded Systems and FPGA Design
- Industrial Technology and Control Systems
- Caching and Content Delivery
- Distributed and Parallel Computing Systems
- Parallel Computing and Optimization Techniques
- Network Security and Intrusion Detection
- Digital Platforms and Economics
- Optical Network Technologies
- Advanced Optical Network Technologies
- Smart Grid Security and Resilience
- Advanced Algorithms and Applications
- Energy, Environment, and Transportation Policies
- Evaluation and Optimization Models
- Vehicle Dynamics and Control Systems
- Privacy-Preserving Technologies in Data
- Service-Oriented Architecture and Web Services
- Mobile Agent-Based Network Management
- Sleep and Work-Related Fatigue
- Capital Investment and Risk Analysis
- Smart Grid and Power Systems
- Smart Grid Energy Management
- Interconnection Networks and Systems
Jiangxi Agricultural University
2022-2025
State Grid Corporation of China (China)
2023-2024
Zhejiang University of Technology
2020-2024
Jianghan University
2024
Xinjiang Entry-Exit Inspection and Quarantine Bureau
2024
Tsinghua University
2004-2023
China Southern Power Grid (China)
2023
Northeast Institute of Geography and Agroecology
2022
Yuxi Normal University
2022
National University of Defense Technology
2017-2021
Driver fatigue is an important factor in a large number of accidents. There has been much work done driver detection. This paper presents comprehensive survey research on detection and provides structural categories for the methods which have proposed. The mainly focused measures driver's state, performance combination state performance. included PERCLOS, mouth shape head position; lane tracking distance between vehicles. These approaches are presented discussed detail. Some typical...
We study the optimal resource investment decision faced by a two-product, price-setting firm that operates in monopolistic setting and employs postponed pricing scheme. The has option to invest dedicated resources as well more expensive, flexible can satisfy both products. While is made under demand uncertainty, allocation decisions are time when curves realized. Our analysis provides structure of firm's strategy function parameters costs, shows follows threshold policy. also show it be for...
Afforestation has been considered to be the cost-effective way sequestrate carbon (C) dioxide from atmosphere in soils, while concurrent responses of soil inorganic C (SIC) and organic (SOC), their turnover are still not well-defined. During cycle, is enriched heavy isotopes (13C), C, due photosynthetic fractionation, light (12C). This leads distinct isotope fractionation terrestrial ecosystems. In this study, 72 paired soils (0–20 cm) poplar shelterbelts adjacent farmland sites were...
The application of certain mathematical–statistical methods can quantitatively identify and extract the abnormal characteristics from observation data, comprehensive analysis seismic multi-parameters study judge risk tectonic regions better than a single parameter. In this study, machine learning-based detection using sliding extreme value relevancy method, based on earthquake-corresponding spectrum, was calculated in western Chinese mainland, R-value evaluation completed. Multi-parameter...
Driver fatigue and sleep deprivation have been widely recognized as critical safety issues that cut across all modes in the transportation industry. FMCSA, trucking industry, highway advocates, researchers identified driver a high-priority commercial vehicle issue. There has much research work done detection. This paper presents comprehensive review of detection technologies recent decades. The methods mainly focused on measures driver's state, performance combination state performance....
In many countries, unreliable inputs, particularly those lacking storage, can significantly limit a firm's productivity. We examine industrial enterprises response to China's severe power shortages around 2003. Fast-growing demand coupled with regulated electricity prices led blackouts varying over location and time. Our results suggest that shift from energy (both electric non-electric sources) into materials - "make" "buy." Textiles, timber, chemicals, metals exhibit the largest effects....
We present a novel end-to-end network, MANet, for light field depth estimation. MANet is parameter-effective and effi-cient multi-scale aggregated which about 3 times smaller faster than the current top-performing method Epinet. The architecture performed estimating from plenoptic cameras, experimental results show that proposed outperforms state-of-the-art methods on HCI, CVIA-HCI EPFL Lytro datasets.
An energy hub (EH) provides an effective solution to the management of local integrated systems (IES), supporting optimal dispatch and mutual conversion distributed resources (DER) in multi-energy forms. However, intrinsic stochasticity renewable generation intensifies fluctuations system’s production when into large-scale grids increases peak-to-valley differences grid integration, leading a significant reduction stability power grid. A privacy-preserving scheduling method based on...
We present a novel approach for joint optical network provisioning and Internet protocol (IP) traffic engineering, in which the IP networks collaboratively optimize combined objective of performance lightpath cost. develop framework distributed multilayer optimization. Our is built upon IP-over-optical (IPO) overlay model, where each domain has limited view other. formulation allows two domains to communicate coordinate their decisions through minimal information exchange. solution based on...
Improving residents' consumption level is one of the important goals China's economic development, and digital inclusive finance, as key work financial has a non-negligible impact on consumption. Based panel data 11 provinces cities in Yangtze River Economic Belt from 2016 to 2022, this paper empirically analyzes relationship between inclusion household by using fixed-effect model considering endogenous problem. The findings are follows: First, finance promotes improvement level, result...
Approximate computing has been widely used in many fault-tolerant applications. Multiplication as a key kernel such applications, it is significant to improve the efficiency of approximate multiplier achieve high computational performance. This paper proposes novel design based on using different compressors for regions partial products. We designed two Preprocessing Units (PUs) explore best via increasing number sparse Multiple 8-bit multipliers are Verilog and synthesized under 45-nm CMOS...
Multimodal pre-training demonstrates its potential in the medical domain, which learns visual representations from paired reports. However, many tasks require extra annotations clinicians, and most of them fail to explicitly guide model learn desired features different pathologies. To best our knowledge, we are first utilize Visual Question Answering (VQA) for multimodal framework focusing on targeted pathological features. In this work, leverage descriptions reports design multi-granular...