- Transportation and Mobility Innovations
- Urban Transport and Accessibility
- Smart Parking Systems Research
- Transportation Planning and Optimization
- Service-Oriented Architecture and Web Services
- Software System Performance and Reliability
- Traffic Prediction and Management Techniques
- Manufacturing Process and Optimization
- Reliability and Maintenance Optimization
- Software Reliability and Analysis Research
- Autonomous Vehicle Technology and Safety
- Cloud Computing and Resource Management
- Gene expression and cancer classification
- Video Surveillance and Tracking Methods
- Single-cell and spatial transcriptomics
- Soil Management and Crop Yield
- Iterative Learning Control Systems
- Computer Graphics and Visualization Techniques
- Genomics and Chromatin Dynamics
- Sharing Economy and Platforms
- Complex Network Analysis Techniques
- Flow Experience in Various Fields
- Big Data and Digital Economy
- Agricultural Engineering and Mechanization
- Mechanical Engineering and Vibrations Research
Northeastern University
2005-2025
Beijing University of Technology
2005-2024
Beijing University of Civil Engineering and Architecture
2023
Nanjing Agricultural University
2016-2018
Beijing University of Posts and Telecommunications
2009
With advances in Internet of Things (IoT), intelligent data sensors are being added to more and devices that interact with human's daily life areas, such as medical services, smart grids, financial services. IoT has made big contributions growth, requiring highly reliable storage solutions. Storage area networks (SANs) one To meet high reliability availability requirements, SANs have provide fault tolerance through redundancy minimize or eliminate system downtime, thus preventing business...
The microbiome plays a crucial role in maintaining physiological homeostasis and is intricately linked to various diseases. Traditional culture-based microbiological experiments are expensive time-consuming. Therefore, it essential prioritize the development of computational methods that enable further experimental validation disease-associated microorganisms. Existing often struggle effectively capture nonlinear interactions heterogeneous network structures when predicting...
In order to optimize the bus departure time considering uncertain factors, this paper constructed an bi-level programming model for frequency and scheduling of a line. The uncertainty passenger arrival operation were taken into account, combined with actual conditions. Nanchang 207 line was as example in morning peak hour. optimal hour is 12 times. overall index value route’s non-uniform during hours increased by 0.06 9.23% compared uniform scheduling. analysis results show that effect...
Based on uncertainty theory, this paper proposed a vehicle scheduling method considering the dynamic departure interval and configuration of electric buses (EBs). An uncertain bi-level programming model (UBPM) is established, which takes total cost passenger travel (CP) as upper EBs (CB) lower. A chance constrained (CCPM) based randomness waiting time interstation running model. With certain confidence level service constraints, goal to minimize travel. Then, an expected value (EVM)...
Abstract Single-cell sequencing technologies are widely used to discover the evolutionary relationships and differences in cells. Since dropout events may frustrate analysis, many imputation approaches for single-cell RNA-seq data have appeared previous attempts. However, attempts usually suffer from over-smooth problem, which bring limited improvement or negative effect downstream analysis of data. To solve this difficulty, we propose a novel two-stage diffusion-denoising method called SCDD...
Demand-responsive transit (DRT) with smartphone-based applications is emerging as a flexible and sustainable mobility service, transforming urban transportation. Nevertheless, to satisfy the real-time inconsistent demand, it becoming increasingly important capture decision-making psychology of order cancellations. In this study, two-phase optimization framework presented in response disruptions, including cancellations insertion new passengers. contrast random paper more concerned about...
Abstract This paper proposes a hybrid deep learning framework (HDLF) that combines improved convolutional neural networks (CNNs), long short-term memory (LSTM) networks, and transformer models. First, feature selection dimensionality reduction are performed using XGBoost principal component analysis, respectively. Secondly, CNN is enhanced by multiscale convolution, residual connection, attention mechanism. Then, the bidirectional LSTM combined with temporal network to improve LSTM. an...
Shared parking has become the most effective way to utilize existing resources. Little attention been focused on drivers’ intention use shared spaces in residential areas considering individual heterogeneity. To fill this gap, paper explores influencing factors and mechanism of (SPUI) further studies preferences for different types drivers. Firstly, based extended unified theory acceptance technology that includes psychological factors, personal attributes, travel characteristics, multiple...
Abstract With the development of chromosome conformation capture technique, study spatial a genome based on Hi-C technique has made quantum leap. Previous studies reveal that genomes are folded into hierarchy three-dimensional (3D) structures associated with topologically associating domains (TADs), and detecting TAD boundaries is great significance in chromosome-level analysis 3D architecture. In this paper, we propose novel identification method, LPAD, which first extracts node...
Inertia force is an important factor for operation stability and stamping precision of high-speed punch; adjusting drive torque punch can realize effective control inertia force. In this paper, a kind 600 KN multilink balancing mechanism was designed. The calculation model ideal proposed based on conservation energy numerical analysis method. addition, the driving were analyzed, simplified, corrected by using simulation methods, which solved problem controlling from perspective realized...
In the implementation of software project, realizing user requirement can perfect functionalities and personalize customization, this will further satisfy users' real needs. During process, key is quality assurance. paper, we propose a test technique for whole life cycle. This article proposes set business cycle method from management, technology. contains testing process test, agile cooperative mode, reusable assets, performance monitoring so on. We also show practice results Campus E-card...
At present, the deep neural network model is commonly used to detect vehicle in video, and detection accuracy relatively high. However, requires high computing performance demand for transmission bandwidth. In many cases, edge device of small power, so not applicable. background subtraction algorithm easy realize because its low requirement on hardware calculation force fast accurate speed. Using SORT track with results can improve speed again reduce consumption resources. Therefore, this...
The paper focuses on implementation of association pattern between the network performances and general faults. We use simulation tool, OPNET, to accomplish simulations different faults situations based VoIP. Network performance parameters such as end-to-end delay, jitter, traffic dropped, queuing link throughout, utilization are monitored collected. results processed using data mining software, Weka, discover pattern.
In this paper, a new design of intelligent defecation monitoring system for use in maternity wards is introduced. By the newborns' situation intelligently real time, and send warning signal to background management through wireless communication right after occurrence defecation, can prompt nursing staff change diaper baby just time. The successful implementation promptly remind newborn finished avoid symptoms such as red buttocks, eczema other symptoms, thus minimize accordance damages...
This paper presented a real-time failure predictive system of the elevator brake. Through inspecting running state coil by high precision long range laser triangulation non-contact measurement sensor, displacement curve is gathered without interfering original system. By analyzing data using diagnostic algorithm, hidden danger brake can be discovered in time and thus avoid according accident.
This paper investigates the latent classes of parking preference for drivers and economic effects after implementing Parking Space Comprehensive Utilization (PSC) in traditional business districts (TBD), with a particular focus on preferences electric vehicle users (EVU). Firstly, Exploratory Factor Analysis (EFA) is used to reduce dimensionality determine structure. Then, based Latent Class Model (LCM), customers are classified, proportion each class under various variables analyzed....
Self-adaptation is a salient feature to make an adaptive service-based software system (ASBS) able guarantee high dependability as well deliver quality of service (QoS) in its dynamic operating environment. It usually realized by reselecting and rebinding services at runtime, will increase the overhead ASBS if it happens frequently. Being aware expensive computing cost optimal selection involved self-adaptation, this paper propose Pareto dominance based approach build sharable environment...
The paper has a detailed description of TDO (Test-Driven Outsourcing) mode, and analyzed the entire task sets outsourcing team, proposed new Software Process Mode, which is an evolution mode helix structure. This different from traditional software project, so it working mode. It based on ideas BPO (Business Outsourcing). may become first one that assigns to whole process development in team perspective. this major for heavyweight projects' research development, can be better able ensure...
As a special surface texture evaluation method, motif has received much attention since it was adopted as an ISO standard which is ISO12085 1996. However, like many other methods, based on 2 dimensional lines. The itself three in nature. 3D should be more suitable. Until now, no method yet been proposed. A key issue combination to determine how the implemented. Three types of MOTIF methods currently used are examined. Features such algorithm complexity and application range investigated. We...
Blockchain technology has gained prominence over the last decade. Numerous achievements have been made regarding how this can be utilized in different aspects of industry, market, and governmental departments. Due to safety-critical security-critical nature their uses, it is pivotal model dependability blockchain-based systems. In study, we focus on Bitcoin, a peer-to-peer cryptocurrency system. A continuous-time Markov chain-based analytical method put forward quantify Bitcoin system under...
At present, as an important transportation way of citizens and resources, motorway is great significance to people's life development. However, heavy traffic while increases risks anomalies bringing prosperity. In view the above problems, this paper proposes a method for analyzing probability abnormalities based on space-time constraints, establishes evaluation model between adjacent nodes motorway. Firstly, average arrival time flow at morphological similarity distance calculated, then...