A5003189850- Energy Efficient Wireless Sensor Networks
- Metaheuristic Optimization Algorithms Research
- Mobile Ad Hoc Networks
- Energy Harvesting in Wireless Networks
- Indoor and Outdoor Localization Technologies
- Artificial Immune Systems Applications
- Wireless Sensor Networks and IoT
- Distributed Control Multi-Agent Systems
- Wireless Networks and Protocols
- Cooperative Communication and Network Coding
- Advanced Manufacturing and Logistics Optimization
- IoT-based Smart Home Systems
- Network Traffic and Congestion Control
- IPv6, Mobility, Handover, Networks, Security
- Network Security and Intrusion Detection
- Wireless Body Area Networks
- Software-Defined Networks and 5G
- Topic Modeling
- IoT and Edge/Fog Computing
- Molecular Communication and Nanonetworks
- Mobile Agent-Based Network Management
- Security in Wireless Sensor Networks
- Embedded Systems and FPGA Design
- Advanced MIMO Systems Optimization
- Evolutionary Algorithms and Applications
Shihezi University
2017-2024
Xi'an University of Technology
2024
Northwestern Polytechnical University
2018-2023
Tencent (China)
2023
Shanghai Maritime University
2021
Tongling Nonferrous Metals Group Holding (China)
2021
Tiandi Science & Technology (China)
2021
Tianjin University
2020
State Key Laboratory of Chemical Engineering
2020
Institute of Psychology, Chinese Academy of Sciences
2020
The consortium blockchain has been widely applied in various fields such as agricultural product traceability, supply chain management, and logistics transportation. As an indispensable component of a blockchain, the consensus algorithm ensures consistency trustworthiness each node network. However, existing algorithms large-scale scenarios suffer from low system throughput high latency due to complexity communication processes, rendering them impractical for real-world use. To address these...
Generating random binary sequences (BSes) is a fundamental requirement in cryptography. A BS sequence of $N$ bits, and each bit has value 0 or 1. For securing sensors within wireless body area networks (WBANs), electrocardiogram (ECG)-based generation methods have been widely investigated which interpulse intervals (IPIs) from heartbeat cycle are processed to produce BSes. Using these IPI-based generate 128-bit real time normally takes around half minute. In order improve the efficiency such...
We study the optimal routing on multilayered communication networks, which are composed of two layers subnetworks. One is a wireless network, and other wired network. develop simple recurrent algorithm to find an this kind where single-channel transmission mode multichannel used subnetwork considered, respectively. Compared with performance shortest path algorithm, our can significantly enhance transport capacity. show that methods proposed in letter could take advantage coupling most...
The burgeoning interest in developing Large Language Models (LLMs) with up to trillion parameters has been met concerns regarding resource efficiency and practical expense, particularly given the immense cost of experimentation. This scenario underscores importance exploring potential Small (SLMs) as a resource-efficient alternative. In this context, we introduce MiniCPM, specifically 1.2B 2.4B non-embedding parameter variants, not only excel their respective categories but also demonstrate...
Knowledge Distillation (KD) has emerged as a prominent technique for model compression. However, conventional KD approaches primarily focus on homogeneous architectures with identical tokenizers, constraining their applicability in cross-architecture scenarios. As the cross-tokenizer KD, differences tokenizers give rise to two fundamental challenges: (1) sequence misalignment caused by divergent tokenization strategies, and (2) mismatched vocabulary size composition. While existing...
The purpose of this study is to obtain comprehensive conclusions on the relationship between aggression and malicious creativity through meta-analysis find out what variables moderate relationship. 20 papers analyzed (15 journal 5 dissertations) were published 2011 2022, included data from a total 6,411 subjects, which 102 effect sizes extracted. Data using Stata 16.0 Review Manager Comprehensive Meta Analysis V3. As result, overall correlation size was ESr=.441, showing medium or higher...
Power is an important social phenomenon and a crucial component of the structure. itself abstract, various external situations objective constructs related to power can only influence behaviors through variables psychological states. This study explored mechanism between prosocial behavior questionnaires experiments. It put forward two hypotheses about perceptions (sense responsibility sense control), verified relationship types in link The results showed that positively influenced behavior,...
Significant reduction of the peak-to-average power ratio (PAPR) is an implementation challenge in orthogonal frequency division multiplexing (OFDM) systems. One way to reduce PAPR apply a set selected partial transmission sequence (PTS) transmit signals. However, PTS selection highly complex NP-hard problem and computational complexity very high when large number subcarriers are used OFDM system. In this paper, we propose new heuristic method, modified chaos clonal shuffled frog leaping...
Abstract Soil moisture wireless sensor networks (SMWSNs) are used in the field of information monitoring for precision farm irrigation, which monitors soil content and changes during crop growth development through nodes at end. The control terminal adjusts irrigation water volume according to transmitted information, is significant increasing yield. One main challenges SMWSNs practical applications maximize coverage area under certain conditions minimize number used. Therefore, a new...
Soil element monitoring wireless sensor networks (SEMWSNs) are widely used in soil agricultural activities. SEMWSNs monitor changes elemental content during agriculture products growing through nodes. Based on the feedback from nodes, farmers adjust irrigation and fertilization strategies time, thus promoting economic growth of crops. The critical issue coverage studies is to achieve maximum entire field by adopting a smaller number In this study, unique adaptive chaotic Gaussian variant...
High‐density wireless sensor networks (HDWSNs) are usually deployed randomly, and each node of the network collects data from complex environments. Because energy nodes is powered by batteries, it basically impossible to replace batteries or charge in surroundings. In this paper, a QoS routing consumption model designed, an improved adaptive elite ant colony optimization (AEACO) proposed reduce HDWSN consumption. This algorithm uses operator accelerate convergence speed. So, as validate...
In recent years, the increasingly severe water pollution problem encouraged researchers to optimize quality monitoring sensor networks (WQMSNs) by creating new underwater coverage algorithms. Since is limited range and number of targets, optimizing 3D target heterogeneous multisensors essential maximize rate monitored waters. To enhance rate, allocation needs be searched in all possible combinations. this research proposes a chaotic parallel artificial fish swarm algorithm (CPAFSA). CPAFSA...
3D semantic occupancy prediction aims to obtain fine-grained geometry and semantics of the surrounding scene is an important task for robustness vision-centric autonomous driving. Most existing methods employ dense grids such as voxels representations, which ignore sparsity diversity object scales thus lead unbalanced allocation resources. To address this, we propose object-centric representation describe scenes with sparse Gaussians where each Gaussian represents a flexible region interest...
In large-scale industrial and commercial energy storage systems, as well ground power station the trend is to adopt large-capacity battery cells reduce system construction costs. It essential screen consistency of during initial design phase. conventional clusters utilize multiple batteries connected in series, which can lead differential attenuation over time inconsistent state charge (SOC) among batteries. The “barrel effect” diminishes effective capacity system. To mitigate this issue, a...
The wormhole attack is a severe in Wireless Mesh Networks (WMNs). It involves two or more endpoints colluding to capture traffic from one place the network and replay it another faraway through secret tunnel, so as distort routing. may lead even serious threats such packet dropping denial of service (DoS). Although lot works have been done on detecting attacks, few them actually evaluated their solutions testbed consider real conditions. In this paper, we set up WMN for studying attacks fill...
Human conversations contain natural and reasonable topic shifts, reflected as the concept flows across utterances.Previous researches prove that explicitly modeling with a large commonsense knowledge graph effectively improves response quality.However, we argue there exists gap between conversation.The has limited ignores characteristics of conversations.Thus, many concepts relations in are not included.To bridge this gap, propose to enhance dialogue generation conversational...
The research of agricultural wireless sensor networks (AWSNs) plays an important role in the field facility technology. temperature and humidity nodes AWSNs are so tiny that they limited on computation, network management, information collection, storage size. Under this condition, task allocation a key improving performance to reduce energy consumption computational constraints. However, optimization is nonlinearly constrained problem whose complexity increases when constraints such as...
At present, the energy consuming during electrolytic copper foil preparation accounts for more than 75% of total consumption. In real-life production, process parameters are set by operator empirically and system may not work at operating point with minimum Therefore, it is critical to establish an effective model predicting electrolysis consumption guide design. this paper, a novel hybrid (named PSVM-PMLP-MLR) based on stacked ensemble learning proposed. The divided into two parts:...
Smart sensor network has the characteristics of low cost, power consumption, real time, strong adaptability, etc., and it a wide range application prospects in agricultural field. However, smart node is limited by its own energy; also faces many bottlenecks applications. Therefore, balancing energy consumption nodes extending life are important considerations design efficient routing for networks. Aiming at problem constraints, this paper proposes an intelligent clustering algorithm based on...