Search Results - "Shan, Zhiguang"

An LSTM-Based Method with Attention Mechanism for Travel Time Prediction by Ran, Xiangdong, Shan, Zhiguang, Fang, Yufei, Lin, Chuang

“…Traffic prediction is based on modeling the complex non-linear spatiotemporal traffic dynamics in road network. In recent years, Long Short-Term Memory has…”
Get full text

Blockchain-Based Decentralized Authentication Modeling Scheme in Edge and IoT Environment by Zhaofeng, Ma, Jialin, Meng, Jihui, Wang, Zhiguang, Shan

“…Authentication is the first entrance to kinds of information systems; however, traditional centered single-side authentication is weak and fragile, which has…”
Get full text

An EDA-GA Hybrid Algorithm for Multi-Objective Task Scheduling in Cloud Computing by Pang, Shanchen, Li, Wenhao, He, Hua, Shan, Zhiguang, Wang, Xun

“…As one of the hot issues in cloud computing, task scheduling is an important way to meet user needs and achieve multiple goals. With the increasing number of…”
Get full text

Optimising smart city evaluation: A people‐oriented analysis method by Fang, Yufei, Shan, Zhiguang

“…Smart cities integrate information technology with urban transformation, making it crucial to systematically evaluate their development level and…”
Get full text

A Novel Low-Rate Denial of Service Attack Detection Approach in ZigBee Wireless Sensor Network by Combining Hilbert-Huang Transformation and Trust Evaluation by Chen, Hongsong, Meng, Caixia, Shan, Zhiguang, Fu, Zhongchuan, Bhargava, Bharat K.

“…Low-rate Denial of Service (LDoS) attack is a special DoS attack. The routing protocol is vulnerable to many types of attacks in a wireless sensor network…”
Get full text

Modeling and Key Technologies of a Data-Driven Smart City System by Fang, Yufei, Shan, Zhiguang, Wang, Wei

“…The smart city operation and management center with a hierarchical data-driven architecture has already become one of the most widely used solutions for smart…”
Get full text

A Convolution Component-Based Method with Attention Mechanism for Travel-Time Prediction by Ran, Xiangdong, Shan, Zhiguang, Fang, Yufei, Lin, Chuang

“…Deep learning approaches have been recently applied to traffic prediction because of their ability to extract features of traffic data. While convolutional…”
Get full text

A model based LSTM and graph convolutional network for stock trend prediction by Ran, Xiangdong, Shan, Zhiguang, Fan, Yukang, Gao, Lei

“…Stock market is a complex system characterized by collective activity, where interdependencies between stocks have a significant influence on stock price…”
Get full text

High Confident Evaluation for Smart City Services by Sheng, Hao, Zhang, Yang, Wang, Wei, Shan, Zhiguang, Fang, Yufei, Lyu, Weifeng, Xiong, Zhang

“…This study aims to analyze massive data in cities through data vitalization, and quantitatively evaluate smart city services, so as to promote the construction…”
Get full text

Empowering smart city situational awareness via big mobile data by Shan, Zhiguang, Shi, Lei, Li, Bo, Zhang, Yanqiang, Zhang, Xiatian, Chen, Wei

“…Smart city situational awareness has recently emerged as a hot topic in research societies, industries, and governments because of its potential to integrate…”
Get full text

Research Status and Future Prospects of Intelligent Manufacturing Evaluation Theory by He, Huixia, Wei, Guiying, Wu, Sen, Shan, Zhiguang

“…Intelligent manufacturing is crucial for constructing a powerful manufacturing country. As China’s intelligent manufacturing enters a comprehensive promotion…”
Get full text

A review of recent progress and developments in China smart cities by Shan, Zhiguang, Zhang, Yanqiang, Zhang, Yaqi, Tang, Sisi, Wang, Wei

“…Since 2008, the development of China's smarter cities has experienced four phases: Exploration and practice phase, normative adjustment phase, strategic…”
Get full text

How China Deals with Big Data by Shi, Yong, Shan, Zhiguang, Li, Jianping, Fang, Yufei

“…On September 5, 2015, the State Council of Chinese Government, China’s cabinet formally announced its Action Framework for Promoting Big Data ( www.gov.cn ,…”
Get full text

Travel Time Prediction by Providing Constraints on a Convolutional Neural Network by Ran, Xiangdong, Shan, Zhiguang, Fang, Yufei, Lin, Chuang

“…Traffic prediction is a complex, nonlinear spatiotemporal modeling problem. Data-based methods have been widely applied to traffic information prediction…”
Get full text

A novel fault-tolerant execution model by using of mobile agents by Qu, Wenyu, Kitsuregawa, Masaru, Shen, Hong, Shan, Zhiguang

“…The exponential expansion of the Internet and the widespread popularity of the World Wide Web give a challenge to experts on reliable and secure system design,…”
Get full text

BSV-PAGS: Blockchain-based special vehicles priority access guarantee scheme by Wang, Yue, Yu, Jiguo, Yan, Biwei, Wang, Guijuan, Shan, Zhiguang

“…Traffic jams often occur, with the increasing number of private cars. Special vehicles (e.g. police cars, ambulances and fire trucks) often encounter traffic…”
Get full text

Modeling and inference of extended interval temporal logic for nondeterministic intervals by Shan, Z, Liu, T, Qu, Y, Ren, F

“…Extended interval temporal logic (EITL), an extension of the traditional point-interval temporal logic (PITL), is proposed. In contrast to PITL that represents…”
Get full text

Blockchain-based cooperative game bilateral matching architecture for shared storage by Lin, Guanjie, Zeng, Mingyuan, Shan, Zhiguang, Wu, Kaishun, Wang, Guan, Lei, Kai

“…The development of IPFS (InterPlanetary File System) and blockchain-based distributed storage projects has brought new possibilities to the field of storage…”
Get full text

Distributed Bottleneck-Aware Coflow Scheduling in Data Centers by Zhang, Tong, Shu, Ran, Shan, Zhiguang, Ren, Fengyuan

“…With the booming development of data parallel frameworks, the coflow abstraction has been greatly favored by data center transport designs, for its prominent…”
Get full text

Request classification of Web QoS based on user behaviour analysis by Wang Cong, Guo Xiaolei, Shan Zhiguang

“…Request classification is one of important strategies of Web QoS control. User behaviour analysis can make Web service more intelligent and personal, on which…”
Get full text