20 results for "Dechang Pi"

Analysis of global stock index data during crisis period via complex network approach

Bentian Li; Dechang Pi

PLOS ONE, Vol. 13 No. 7 · 2018 · English · PLOS Scopus

Considerable research has been done on the complex stock market, however, there is very little systematic work on the impact of crisis on global stock markets. For filling in these gaps, we propose a complex network method, which analyzes the effects of the 2008 global financial crisis on global…

Also available at: DOAJ

A New Time Series Representation Model and Corresponding Similarity Measure for Fast and Accurate Similarity Detection

Miaomiao Zhang; Dechang Pi

IEEE Access, Vol. 5 · 2017 · English · DOAJ Scopus

Data representation and similarity measurement are two basic aspects of similarity detection in time series data mining. In this paper, we present two novel approaches to perform similarity detection efficiently and effectively. One is composed of a new time series representation model and a…

Novel fruit fly algorithm for global optimisation and its application to short-term wind forecasting

Yang Chen; DeChang Pi

Connection Science, Vol. 31 No. 3 · 2019 · English · DOAJ Scopus

Fruit fly optimisation algorithm is a new swarm intelligence algorithm, which is simple and efficient. However, it is easy to get premature convergence in solving high-dimensional complex continuous functions. In order to overcome the shortcoming and improve the precision of solution, we propose a…

Milling Surface Roughness Prediction Based on Physics-Informed Machine Learning

Shi Zeng; Dechang Pi

Sensors, Vol. 23 No. 10 · 2023 · English · DOAJ Scopus

Surface roughness is a key indicator of the quality of mechanical products, which can precisely portray the fatigue strength, wear resistance, surface hardness and other properties of the products. The convergence of current machine-learning-based surface roughness prediction methods to local…

Metric Learning Combining With Boosting for User Distance Measure in Multiple Social Networks

Yufei Liu; Dechang Pi; Lin Cui

IEEE Access, Vol. 5 · 2017 · English · DOAJ Scopus

How to model user distance from multiple social networks is an important challenge. People often simultaneously appear in multiple social networks that can provide complementary services. Thus, knowledge from different social networks can help overcome the data sparseness problem. However, the…

Topology Identification of Time-Scales Complex Networks

Yong Pei; Churong Chen; Dechang Pi

Mathematics, Vol. 10 No. 10 · 2022 · English · DOAJ Scopus

This paper studies a topology identification problem of complex networks with dynamics on different time scales. Using the adaptive synchronization method, some criteria for a successful estimation are obtained. In particular, by regulating the original network to synchronize with an auxiliary…

EP‐LSTM: Novel prediction algorithm for moving object destination

Bingrong Li; Dechang Pi; Mengru Hou

IET Intelligent Transport Systems, Vol. 15 No. 2 · 2021 · English · DOAJ Scopus

Abstract Predicting the destination of a moving object is a popular research subject in location‐based services. By predicting destinations, suggestions can be offered to people regarding their trips. At present, there are problems such as data sparsity and long‐term dependence based on historical…

DMFA-SR: Deeper Membership and Friendship Awareness for Social Recommendation

Lin Cui; Dechang Pi; Jing Zhang

IEEE Access, Vol. 5 · 2017 · English · DOAJ Scopus

The existing social recommendation models mostly utilize various explicit user-generated information. Although there exist a few studies adopting the implicit relationship between users for social recommendation, however, these studies do not consider the deeper social relationship, nor…

An efficient single shot detector with weight-based feature fusion for small object detection

Ming Li; Dechang Pi; Shuo Qin

Scientific Reports, Vol. 13 No. 1 · 2023 · English · DOAJ Scopus

Abstract Object detection has been widely applied in various fields with the rapid development of deep learning in recent years. However, detecting small objects is still a challenging task because of the limited information in features and the complex background. To further enhance the detection…

Mining Potential Spammers from Mobile Call Logs

Zhipeng Liu; Dechang Pi; Yunfang Chen

International Journal of Distributed Sensor Networks, Vol. 11 · 2015 · English · DOAJ Scopus

With the rapid development of mobile telecommunication, voice call spam has become a growing problem in China. Many mobile phone users have become the victim of spam calls and suffered heavy financial loss. Discovering of call spammers can benefit mobile network operators as well as users…

Maintenance and Operation Optimization Algorithm of PV Plants under Multiconstraint Conditions

Chi Hua; Liang Kuang; Dechang Pi

Complexity, Vol. 2020 · 2020 · English · DOAJ Scopus

With the rapid increase in the photovoltaic (PV) plants, the real-time operation and maintenance of photovoltaic power generation equipment is very important. The maintenance and dispatching of decentralized power stations is still one of the key issues affecting the operation safety of…

Mining Community-Level Influence in Microblogging Network: A Case Study on Sina Weibo

Yufei Liu; Dechang Pi; Lin Cui

Complexity, Vol. 2017 · 2017 · English · DOAJ Scopus

Social influence analysis is important for many social network applications, including recommendation and cybersecurity analysis. We observe that the influence of community including multiple users outweighs the individual influence. Existing models focus on the individual influence analysis, but…

Integrative Method Based on Linear Regression for the Prediction of Zinc-Binding Sites in Proteins

Hui Li; Dechang Pi; Yaling Wu et al.

IEEE Access, Vol. 5 · 2017 · English · DOAJ Scopus

Zinc is an important trace element, and it can be used in combination with proteins to play an important biological function. In this paper, three types of prediction tools based on sequence were studied for the prediction of zinc-binding sites in proteins, and a novel integrated predictor termed…

Design and analysis of intelligent service chain system for network security resource pool

Zenan WANG; Jiahao LI, Dechang PI; Chaohong TAN

网络与信息安全学报, Vol. 8 No. 4 · 2022 · Chinese · DOAJ Scopus

The traditional network security architecture ensures network security by directing traffic through hardware based network security function devices.Since the architecture consists of fixed hardware devices, it leads to a single form of network security area deployment and poor scalability.Besides…

Also available at: DOAJ

A Novel Prediction Method for Zinc-Binding Sites in Proteins by an Ensemble of SVM and Sample-Weighted Probabilistic Neural Network

Hui Li; Dechang Pi; Chuanming Chen et al.

IEEE Access, Vol. 7 · 2019 · English · DOAJ Scopus

In the prediction of zinc-binding sites in proteins, there are few real binding-site residues, whereas most residues are non-binding-site residues, resulting in a typical imbalanced classification problem. This paper proposes a novel method, SSWPNN (an ensemble of support vector machine and…

Optimization of Self-Directed Target Coverage in Wireless Multimedia Sensor Network

Yang Yang; Yufei Wang; Dechang Pi et al.

The Scientific World Journal, Vol. 2014 · 2014 · English · DOAJ Scopus

Video and image sensors in wireless multimedia sensor networks (WMSNs) have directed view and limited sensing angle. So the methods to solve target coverage problem for traditional sensor networks, which use circle sensing model, are not suitable for WMSNs. Based on the FoV (field of view) sensing…

Short-term power prediction of photovoltaic power station based on long short-term memory-back-propagation

Chi Hua; Erxi Zhu; Liang Kuang et al.

International Journal of Distributed Sensor Networks, Vol. 15 · 2019 · English · DOAJ Scopus

Accurate prediction of the generation capacity of photovoltaic systems is fundamental to ensuring the stability of the grid and to performing scheduling arrangements correctly. In view of the temporal defect and the local minimum problem of back-propagation neural network, a forecasting method of…

HML-IDS: A Hybrid-Multilevel Anomaly Prediction Approach for Intrusion Detection in SCADA Systems

Izhar Ahmed Khan; Dechang Pi; Zaheer Ullah Khan et al.

IEEE Access, Vol. 7 · 2019 · English · DOAJ Scopus

Critical infrastructures, e.g., electricity generation and dispersal networks, chemical processing plants, and gas distribution, are governed and monitored by supervisory control and data acquisition systems (SCADA). Detecting intrusion is a prevalent area of study for numerous years, and several…