A5100675703- 2D Materials and Applications
- MXene and MAX Phase Materials
- Chalcogenide Semiconductor Thin Films
- Advanced Photocatalysis Techniques
- Traffic Prediction and Management Techniques
- Advanced Measurement and Detection Methods
- Vehicular Ad Hoc Networks (VANETs)
- Transportation Planning and Optimization
- Advanced Sensor and Control Systems
- Mobile Ad Hoc Networks
- Perovskite Materials and Applications
- Quantum Dots Synthesis And Properties
- Advanced Authentication Protocols Security
- Traffic control and management
- Boron and Carbon Nanomaterials Research
- Industrial Vision Systems and Defect Detection
- Remote Sensing in Agriculture
- Anomaly Detection Techniques and Applications
- Graphene research and applications
- Opportunistic and Delay-Tolerant Networks
- Energy Load and Power Forecasting
- Advanced Fiber Optic Sensors
- Cryptographic Implementations and Security
- Text and Document Classification Technologies
- Geochemistry and Geologic Mapping
Chang'an University
2018-2024
Xinxiang Medical University
2024
Harbin University
2024
Ministry of Natural Resources
2021-2023
Jinan University
2023
Chongqing University
2023
Materials Science & Engineering
2022
China National Petroleum Corporation (China)
2022
Chongqing Jiaotong University
2022
Shandong University
2021
The urban traffic flow prediction is a significant issue in the intelligent transportation system. In consideration of nonlinear and spatial-temporal features data, we propose deep hybrid neural network improved by greedy algorithm for with taxi GPS trace. proposed model first combines convolutional (CNN), which extracts spatial features, long short term memory (LSTM), captures temporal information, to predict flow. Then, trained policy time consumption improves accuracy when goes deeper....
Wireless sensor networks (WSNs) have been widely investigated in recent years. One of the fundamental issues WSNs is packet routing, because many application domains, packets to be routed from source nodes destination as soon and energy efficiently possible. To address this issue, a large number routing approaches proposed. Although every existing approach has advantages, they also some disadvantages. In paper, multi-agent framework proposed that can assist improve their performance. This...
In this paper, we consider the problem of detecting a signal in Gaussian noise with unknown covariance matrix, partially homogeneous environments where test and training data samples share same matrix up to an scaling factor. One solution is adaptive subspace detector (ASD) single or multiple observations. However, probabilities false alarm detection ASD have not been obtained yet. these expressions are derived on basis observation, which confirmed Monte Carlo simulations. It shown that has...
An in-vehicle controller area network (CAN) bus is vulnerable because of increased sharing among modern autonomous vehicles and the weak protocol design principle. Spoofing attacks on a CAN can be difficult to detect have potential enable devastating attacks. To effectively identify spoofing attacks, we propose authentication sender identities using recurrent neural with long short-term memory units (RNN-LSTM) based features fingerprint signal. We also present way generate analog signals...
Recently, vehicular ad hoc networks (VANETs) got much popularity and are now being considered as integral parts of the automobile industry. As a subclass MANETs, VANETs used in intelligent transport system (ITS) to support passengers, vehicles, facilities like road protection, including misadventure warnings driver succor, along with other infotainment services. The advantages comforts obvious; however, continuous progression autonomous technologies, facing numerous security challenges DoS,...
Predicting city-scale taxi origin-destination (OD) flows takes an important role in understanding passengers' travel demands as well managing operation and scheduling. But the complex spatial dependencies temporal dynamics make this problem challenging. In paper, a hybrid deep neural network prediction model based on convolutional LSTM (ConvLSTM) is proposed. For improving accuracy, implicit correlation between time OD flow explored they are combined inputs of model. Moreover, order to...
Similar to cloud servers, edge servers running 24/7 in a mobile computing (MEC) system consume large amount of energy, and thus require demand response management. Demand has been widely employed reduce energy consumption at data centers. However, existing approaches for centers are rendered obsolete by the new unique characteristics MEC systems: 1) proximity constraint - users can be served neighbor only; 2) latency users' workloads should processed their ensure low latency; 3) capacity...
In order to solve the current energy and environmental problems, we designed GaTe/PtS 2 van der Waals heterojunction with excellent light absorption solar-to-hydrogen efficiency, which is an photocatalytic heterojunction.
Efficient carrier separation and suitable band edge position are necessary conditions for photocatalytic water splitting. Based on density functional theory, the electronic properties optical performance of GeC/ZnTe vdW heterostructure systematically explored. The with inherent type-II arrangement is conducive to constantly separate hole–electron pairs, thus improving utilization solar energy. Meanwhile, an excellent absorption coefficient has been proved in large mobility. Within strain...
The simulation and prediction of the NDVI are conducive to regional ecological restoration. In this research, Weihe Watershed is selected as study area, which located on eastern edge Tianshan tectonic belt. Firstly, according characters, we divide values into five grades, including very low (<0.3), lower (0.3–0.4), medium (0.4–0.5), higher (0.5–0.6), high (>0.6), analyse tempo‐spatial variations in from 2006 2015. Then, use CA–Markov model with parameters adjustment simulate predict...
Abstract A precise estimation of the heavy metal concentrations in soils using multispectral remote sensing technology is challenging. Herein, Landsat8 imagery, a digital elevation model, and geochemical data derived from soil samples are integrated to improve accuracy estimating Cu, Pb, As topsoil, Daxigou mining area Shaanxi Province, China, as case study. The relationships between three metals environmental factors were investigated. optimal combination associated with elevated each was...
Abstract Non-linear model optimization for predicting time series is a challenge problem. In Intelligent Transportation Systems (ITS) application, the indispensable short-term traffic flow prediction with big data makes problem worst. To improve accuracy and ensure real-time performance in environment, we propose novel co-evolutionary artificial bee colony (ABC) improved by differential evolution (DE) algorithm combined trained extreme learning machine (ELM) neural network. The proposed can...
Based on first-principles calculation under density functional theory, the geometry, electronic and optical properties of MoTe2/InSe heterojunction have been investigated. The results reveal that has a typical type-Ⅱ band alignment exhibits an indirect bandgap 0.99 eV. In addition, Z-scheme electron transport mechanism is capable efficiently separating photogenerated carriers. heterostructure changes regularly applied electric field significant Giant Stark effect. Under 0.5 V Å-1, shifts...
In this paper, the geometric structures and electron-optical properties of AlAs/GaS heterojunctions Se-doped are calculated based on first-principles density functional theory (DFT).