A5103037901- Sentiment Analysis and Opinion Mining
- Wireless Communication Networks Research
- Advanced Malware Detection Techniques
- Impact of Light on Environment and Health
- Text and Document Classification Technologies
- Coastal wetland ecosystem dynamics
- Coastal and Marine Dynamics
- Network Security and Intrusion Detection
- Neural Networks and Reservoir Computing
- Advanced Text Analysis Techniques
- Human Pose and Action Recognition
- Network Time Synchronization Technologies
- Gait Recognition and Analysis
- Marine and coastal plant biology
- Microbial Community Ecology and Physiology
- Oceanographic and Atmospheric Processes
- Advanced Wireless Network Optimization
- Advanced Measurement and Metrology Techniques
- Tropical and Extratropical Cyclones Research
- Anomaly Detection Techniques and Applications
- Agriculture, Soil, Plant Science
- Recycling and Waste Management Techniques
- Technology and Security Systems
- Advanced Computational Techniques and Applications
- Environmental Changes in China
Zhejiang University of Technology
2023
Chongqing University of Posts and Telecommunications
2009-2022
Xihua University
2019-2022
China Geological Survey
2021
To exactly classify sentiments of microblog reviews with emojis in social networks, this paper first proposes an emoji vectorisation method to achieve vectors. Then, emoji-text integrated bidirectional LSTM (ET-BiLSTM) model for sentiment analysis is proposed. In model, review text-based sentence representations are extracted by a network. Emoji-based auxiliary obtained new attention mechanism. The two further into final representation Finally, experimental results indicate that the proposed...
Advanced Persistent Threat (APT) attacks have caused massive financial loss worldwide. Researchers thereby proposed a series of solutions to detect APT attacks, such as dynamic/static code analysis, traffic detection, sandbox technology, endpoint detection and response (EDR), etc. However, existing defenses are failed accurately effectively defend against the current that exhibit strong persistent, stealthy, diverse dynamic characteristics due weak data source integrity, large processing...
Introduction Marine ranching is an effective marine ecosystem protection measure that not only helps protect resources, but also has important carbon sink function. Methods This study took the Haizhidu in Bohai sea of China as research object, constructed 20 functional groups area, and used model Ecopath with Ecosim (EwE) stable isotopes (δ13C δ15N) to system, evaluate biological structure, energy transfer efficiency, ecological carrying capacity (ECC) different calculate sequestration...
Abstract Large-sized components with numerous supports are essential in advanced manufacturing. Efficient product quality control requires accurate three-dimensional (3D) measurements and error control. For 3D shape spatial position of the key local features on support mounting surface, we propose an measurement method combining a global laser tracker, scanning system, mobile robot system comprising industrial platform. To enhance accuracy, calibration was introduced based prior knowledge...
In Sina-microblog comments, abundant emojis, as an important piece of information for the sentiment analysis, are used to vividly express users's opinions and feelings. To classify timely effectively hidden in vast pool microblog this paper proposes emojis-enhanced analysis model. The model first extracts emojis from review sentences constructs emoji sequences enhanced information, then uses BiLSTMs learn text-based representation. Furthermore, adopts a new attention mechanism incorporate...
Introduction Suaeda salsa is a typical wetland plant species in coastal areas that plays an important role protecting the marine eco-environment. The rhizosphere microorganisms of S. are responsible for its growth and development. Method Eighteen samples were collected from three areas, including natural -growing area (YDJ), artificial restoration (YDB), nonrestoration (BKS), high-throughput sequencing technology was employed to explore characteristics Yellow River Delta. Results results...
Heavy rainfall causes large volumes of freshwater and nutrient salts to flow from rivers into the sea. This leads major changes in ecological environment estuarine waters a short period time. The responses hydro-environment become more complex with concentrated construction artificial structures, which is cause marine disasters. paper considers Tang Estuary Qinhuangdao, where structures (e.g., ports, islands, bridges) are concentrated, as prototype weak tidal dynamic environment. A nested...
IEEE 802.11p是关于车载自组织网络的协议,其物理层是IEEE 802.11a标准的扩展。整个OFDM（orthog-onal frequency division multiplexing）发送端的设计是基于FPGA技术,使用Verilog HDL硬件描述语言来编写底层代码。给出了基于IEEE 802.11p标准的OFDM调制系统的设计与仿真验证。仿真结果证明,该设计在精度和资源方面都能达到期望的结果,并且设计简单、高效,完全能够达到802.11p的OFDM系统设计要求。
In this paper, we present a timing synchronization scheme and its Field-Programmable Gate Array (FPGA) implementation for an Orthogonal Frequency Division Multiplexing (OFDM) system based on IEEE 802.11p. This proposed implemented in paper firstly estimates the starting position of new frame burst OFDM communication by synchronization, which has low complexity, then finds beginning FFT window symbol synchronization. not only result validation was reported but also resource requirement FPGA shown.
This paper focuses on light pollution and explores the management of urban pollution. Firstly, after investigation, we know that atmospheric influence factor, night optical index regional planning factor are important indicators to measure level Thus, established a TOPSIS model based entropy weight method, which can arrive at conclusion factors have greatest Based this, then proposed strategy for serious situation in commercial areas. Finally, use Cellular Automata simulate process effect...
The issue of light pollution has been arousing more and attention on a global scale. Oceans atmosphere earth are seriously threatened by pollution. In order to identify assess the risk level location, this paper establishes two-phase comprehensive environmental assessment model for regional phase I model, selected 12 indicators from three aspects: source pollution, severity problem, resource availability Subsequently, Logistic Regression (LR) was utilized obtain models treated regression...
This paper introduces a approach of TD-HSUPA modeling for system level simulation and then proposes the framework platform. The focus in this is on introduction core models based discrete event time-driven mechanism. framework, which programmed by Matlab software, aim to analyze significant performance provide reliable parameters network planning dimensioning. Consequently, cost construction reduced, period also shorten.
Annually, there are thousands of traffic accidents casually in the world, so it is extremely important to research behavior drivers current days. To achieve it, we set up a platform gather CAN data from vehicles independently. In this paper, three assessment indexes such as driving safety, riding comfort and fuel consumption were put forward for assessing drivers’ comprehensive quality based on data. This paper analyzed these entropy steering wheel angle, vehicle speed other 7 factors....
Abstract Graph convolutional network have been widely used for walking emotion recognition. However, the dependencies in multi-scale,long-distance data and neighbor nodes can affect efficiency of feature extraction, further impact identification accuracy. To this end, we propose i) a multi-scale spatio-temporal information directed aggregation method based on graphs, which considers not only correlation between spatial temporal features at same time, but also directionality dimension; ii)a...