Search | Engineering

Subscribe Submit

Home Journals Focus Achievement Fronts About Us 中文版

Resource Type

Journal Article 446

Year

2024 2

2023 53

2022 62

2021 53

2020 49

2019 44

2018 51

2017 31

2016 14

2015 15

2014 6

2013 1

2012 6

2011 5

2010 4

2008 3

2007 3

2006 8

2005 3

2004 7

open ︾

Keywords

Artificial intelligence 35

intelligent manufacturing 20

artificial intelligence 18

Machine learning 15

Deep learning 8

Intelligent manufacturing 8

Multi-agent system 8

Multi-agent systems 6

Smart manufacturing 5

industrial software 5

intelligence 5

Process industry 4

Big data 3

Blockchain 3

Computer vision 3

Industry 4.0 3

artificial intelligence (AI) 3

Artificial intelligence (AI) 2

Artificial intelligence 2.0 2

open ︾

Search scope:

排序： Display mode:

Crowd modeling based on purposiveness and a destination-driven analysis method Research Articles

Ning Ding, Weimin Qi, Huihuan Qian,hhqian@cuhk.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 10, Pages 1351-1369 doi: 10.1631/FITEE.2000312

Abstract: This study focuses on the multiphase flow properties of crowd motions. Stability is a crucial forewarning factor for the crowd. To evaluate the behaviors of newly arriving pedestrians and the stability of a crowd, a novel motion structure analysis model is established based on purposiveness, and is used to describe the continuity of pedestrians’ pursuing their own goals. We represent the crowd with self-driven particles using a destination-driven analysis method. These self-driven particles are trackable feature points detected from human bodies. Then we use trajectories to calculate these self-driven particles’ purposiveness and select trajectories with high purposiveness to estimate the common destinations and the inherent structure of the crowd. Finally, we use these common destinations and the crowd structure to evaluate the behavior of newly arriving pedestrians and . Our studies show that the purposiveness parameter is a suitable descriptor for middle-density human crowds, and that the proposed destination-driven analysis method is capable of representing complex crowd motion behaviors. Experiments using synthetic and real data and videos of both human and animal crowds have been conducted to validate the proposed method.

Keywords：人群建模；智能视频监控；人群稳定性

HTML PDF Collect

Study on Data Exchange in System of Remote Monitoring Intelligent Building

Duan Jingmin, Wang Ying, Song Yongheng, Chang Hui

Strategic Study of CAE 2008, Volume 10, Issue 8, Pages 73-75

Abstract:

Intelligent of building show intelligent application in building control. The reasonable control method more guarantees intellectualized building, at the same time, and bring personalized. In this paper, Distributed technique exchange theory has been main discussed in intelligent building control of remote control, and structed a high efficient distribuited control data exchange service end base on net.

Keywords： intelligent building data inface distributed web service

HTML PDF Collect

Avideo conferencing system based on SDN-enabled SVCmulticast Project supported by the National Natural Science Foundation of China (Nos. 61573329 and 61233003), the Youth Innovation Promotion Association CAS, and the Fundamental Research Funds for the Central Universities, China Article

En-zhong YANG,Lin-kai ZHANG,Zhen YAO,Jian YANG

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 7, Pages 672-681 doi: 10.1631/FITEE.1601087

Abstract: Current typical video conferencing connection is bridged by a multipoint control unit (MCU), which may cause large delay and communication bottleneck for the whole system. With the development of network technology, a video conferencing system can be implemented based on software-defined networking (SDN), which makes the service controllable and improves the scalability and flexibility. Additionally, a video encoding method called scalable video coding (SVC) can also help. In this paper, we propose a video conferencing architecture based on SDN-enabled SVC multicasting, which discards the traditional Internet group management protocol (IGMP) and MCU. The system implements SVC multicast streaming to satisfy different device capabilities of various conference terminals. The SDN controller is responsible for dynamically managing and controlling the layers of a video stream when a conference member faces network congestion. Also, a conference manager is designed to facilitate the management of the conference members. Experimental results show that our system can not only provide a flexible and controllable video delivery, but also reduce the network usage while guaranteeing the quality of service (QoS) of video conferencing.

Keywords： Software-defined networking (SDN) Multicast Scalable video coding Video conferencing system

HTML PDF Collect

Intelligent compaction theory of high roller compacted concrete dam

Liu Donghai,Li Bingyang,Cui Bo

Strategic Study of CAE 2011, Volume 13, Issue 12, Pages 74-79

Abstract:

In the paper, the concept and realization process of intelligent compaction for high roller compacted concrete dam construction was presented, as well as the theory of real-time monitoring and intelligent feedback control. Based on the analysis of real-time compaction index, a multiple regression model of the dam compactness was established and a real-time estimation method of compaction quality of the entire work area for roller compacted concrete dam was proposed finally. The adaptive adjustment of the roller work parameters was achieved, with the speed, exciting force, the rolling pass and the compacted thickness meeting the standard during the entire construction process, and the compaction quality and construction efficiency can be both improved as a result. What's more, the research provides a new way for the construction quality control of roller compacted concrete dam.

Keywords： roller compacted concrete（RCC）dam quality control intelligent compaction real-time monitoring real-time quality estimation

HTML PDF Collect

Design of Data Supervision System Based on Dual CPU Structure

Jia Guixi,Qi Le

Strategic Study of CAE 2006, Volume 8, Issue 4, Pages 68-71

Abstract:

To deal with the real-time and multi-channel data acquisition and supervision of the voltage, current and temperature on the clients' lines in communication system, the design method of the system based on dual CPU structure is described in this paper as well as the hardware composition. The connection of main chips and the software flow are discussed as well. This system has been applied to the supervision of 48 V communication lines in mail system.It shows that the dual CPU plan not only meets the system requirement of massive computation and high real-time and anti-jamming performance but also optimizes both software and hardware design.

Keywords： data supervision dual CPU dual port RAM

HTML PDF Collect

Scheme and Techniques for Hierarchical Oranization of Video

Zhang Yujin,Lu Haibin

Strategic Study of CAE 2000, Volume 2, Issue 3, Pages 18-22

Abstract:

Digital video is an important data format in multimedia information systems. Traditional video representation is just a time sequence——video stream, thus it is difficult for computer to recognize or perceive video in the content level. To efficiently access and utilize video information, a suitable organization of video data is critical. This paper proposes a video organization scheme, which arranges video into four layers： video program, episode, shot and image frame. This hierarchical structure provides a compact and meaningful video catalogue, which can be easily used for non-linear browsing and content-based retrieval of video data. To achieve such an organization, it needs not only detect the boundary of shots and episodes, but also extract the key frames of shots and select the representative shots and frames for episodes. This paper proposes a number of suitable criteria and techniques for video segmentation and organization, and integrates these techniques into a prototype system. Some organization results using real video data are presented, which show the effectiveness of this organization scheme.

Keywords： video organization browsing shot episode key frame representative frame

HTML PDF Collect

Shot classification and replay detection for sports video summarization Research Article

Ali JAVED, Amen ALI KHAN,ali.javed@uettaxila.edu.pk

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 5, Pages 790-800 doi: 10.1631/FITEE.2000414

Abstract: Automated analysis of sports is challenging due to variations in cameras, replay speed, illumination conditions, editing effects, game structure, genre, etc. To address these challenges, we propose an effective framework based on and for field sports videos. Accurate is mandatory to better structure the input video for further processing, i.e., key events or . Therefore, we present a based method for . Then we analyze each shot for and specifically detect the successive batch of logo transition frames that identify the replay segments from the sports videos. For this purpose, we propose local octa-pattern features to represent video frames and train the for classification as replay or non-replay frames. The proposed framework is robust to variations in cameras, replay speed, shot speed, illumination conditions, game structure, sports genre, broadcasters, logo designs and placement, frame transitions, and editing effects. The performance of our framework is evaluated on a dataset containing diverse YouTube sports videos of soccer, baseball, and cricket. Experimental results demonstrate that the proposed framework can reliably be used for and to summarize field sports videos.

Keywords： Extreme learning machine Lightweight convolutional neural network Local octa-patterns Shot classification Replay detection Video summarization

HTML PDF Collect

Monitor and control of ultra deep shaft safety and efficient construction

Shen Weian,Liang Hengchang,Zhao Guangsi

Strategic Study of CAE 2012, Volume 14, Issue 2, Pages 45-48

Abstract:

With the increase of the depth of shaft construction, shaft wall safety and the construction are becoming difficult. To ensure the safety and shaft wall construction safety and other factors, the real-time control and monitoring of the construction process is necessary. Feedback monitoring is an important method to ensure the construction safety. Base on the background of Benxi Dataigou Iron Mine's ultra-deep shaft with diameter of 6.5 m, depth of 1 640 m, the paper proposed methods to monitor the shaft wall safety and the condition of construction. It introduced the information construction for video monitor system, hanging plate important point monitor system and promoting bucket monitor system. The monitor system implementation plan may provide detailed information for ultradeep shaft efficient construction.

Keywords： ultra deep shaft safety information construction monitor and control

HTML PDF Collect

Long-term prediction for hierarchical-B-picture-based coding of video with repeated shots None

Xu-guang ZUO, Lu YU

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 3, Pages 459-470 doi: 10.1631/FITEE.1601552

Abstract: The latest video coding standard High Efficiency Video Coding (HEVC) can achieve much higher coding efficiency than previous video coding standards. Particularly, by exploiting the hierarchical B-picture prediction structure, temporal redundancy among neighbor frames is eliminated remarkably well. In practice, videos available to consumers usually contain many repeated shots, such as TV series, movies, and talk shows. According to our observations, when these videos are encoded by HEVC with the hierarchical B-picture structure, the temporal correlation in each shot is well exploited. However, the long-term correlation between repeated shots has not been used. We propose a long-term prediction (LTP) scheme to use the long-term temporal correlation between correlated shots in a video. The long-term reference (LTR) frames of a source video are chosen by clustering similar shots and extracting the representative frames, and a modified hierarchical B-picture coding structure based on an LTR frame is introduced to support long-term temporal prediction. An adaptive quantization method is further designed for LTR frames to improve the overall video coding efficiency. Experimental results show that up to 22.86% coding gain can be achieved using the new coding scheme.

Keywords： High Efficiency Video Coding (HEVC) Long-term temporal correlation Long-term prediction Hierarchical B-picture structure

HTML PDF Collect

Service Life Supervision for Individual Aircraft Structural System Based on Aircraft Structural Life Envelope

He Yuting

Strategic Study of CAE 2006, Volume 8, Issue 6, Pages 23-27

Abstract:

Based on the analysis of the aircraft structural life envelope (ASLE) under the baseline operational conditions, an approach of establishment of aircraft structural life envelope (ASLE) under nonbaseline operational conditions is presented. The method of service life supervision for individual aircraft structural system(SLSFIASS) under nonbaseline operational conditions is given. Taking the supervision of the time between the first and second overhauls for an aircraft structural system for example, the supervising methods and steps of SLSFIASS are demonstrated.

Keywords： aircraft structure life envelope service life supervision time between overhauls

HTML PDF Collect

Study of Existing Problems and Solution in Vehicle Monitoring System

Zhu Zhuangsheng,Wan Dejun,Wang Qing,Zhang Xiaoguo

Strategic Study of CAE 2003, Volume 5, Issue 9, Pages 49-54

Abstract:

The purpose of this paper was providing some experience and ready reference for people who could design a utile and abroad popular GPS vehicle monitoring system. The author demonstrated some problems existing in the vehicle monitoring system, such as digital map model errors lead to map matching errors; telecommunication system information lag results in vehicle real time position error and global position system multipath error affects vehicle position. The authors had provided some schemes for solving the problems,e. g. GIS/DR protocol for solving telecommunication system information lag, nerve cell for solving global position system multipath. Experiment showed that the solution schemes had eliminated the system errors. The solution schemes had been applied to some projects,and had acquired very good application effect.

Keywords： GPS digital map vehicle monitoring system telecommunication system

HTML PDF Collect

Management and Monitoring System of Automatic Tridimensional Warehouse Based on Ethernet Communication

Wang Zhiwei,Jiang Zhaoyun

Strategic Study of CAE 2004, Volume 6, Issue 6, Pages 74-76

Abstract:

This paper introduces the systemic structure, work principle and main functions of the management and monitoring system of automatic tridimensional warehouse based on Ethernet communication. The thought of software design for developing this system is also introduced in this paper. High-speed data communication realized through Ethernet is fully used in this system to make the real-time management and monitoring to an automatic tridimensional warehouse possible.

Keywords： automatic tridimensional warehouse computer managing and monitoring Ethernet communication

HTML PDF Collect

Online Monitoring of Welding Status Based on a DBN Model During Laser Welding Article

Yanxi Zhang, Deyong You, Xiangdong Gao, Seiji Katayama

Engineering 2019, Volume 5, Issue 4, Pages 671-678 doi: 10.1016/j.eng.2019.01.016

Abstract:

In this research, an auxiliary illumination visual sensor system, an ultraviolet/visible (UVV) band visual sensor system (with a wavelength less than 780 nm), a spectrometer, and a photodiode are employed to capture insights into the high-power disc laser welding process. The features of the visible optical light signal and the reflected laser light signal are extracted by decomposing the original signal captured by the photodiode via the wavelet packet decomposition (WPD) method. The captured signals of the spectrometer mainly have a wavelength of 400–900 nm, and are divided into 25 sub-bands to extract the spectrum features by statistical methods. The features of the plume and spatters are acquired by images captured by the UVV visual sensor system, and the features of the keyhole are extracted from images captured by the auxiliary illumination visual sensor system. Based on these real-time quantized features of the welding process, a deep belief network (DBN) is established to monitor the welding status. A genetic algorithm is applied to optimize the parameters of the proposed DBN model. The established DBN model shows higher accuracy and robustness in monitoring welding status in comparison with a traditional back-propagation neural network (BPNN) model. The effectiveness and generalization ability of the proposed DBN are validated by three additional experiments with different welding parameters.

Keywords： Online monitoring Multiple sensors Wavelet packet decomposition Deep belief network

HTML PDF Collect

High-resolution spectral video acquisition Review

Lin-sen CHEN, Tao YUE, Xun CAO, Zhan MA, David J. BRADY

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 9, Pages 1250-1260 doi: 10.1631/FITEE.1700098

Abstract: Compared with conventional cameras, spectral imagers providemany more features in the spectral domain. They have been used invarious fields such as material identification, remote sensing, precisionagriculture, and surveillance. Traditional imaging spectrometers usegenerally scanning systems. They cannot meet the demands of dynamicscenarios. This limits the practical applications for spectral imaging.Recently, with the rapid development in computational photographytheory and semiconductor techniques, spectral video acquisition hasbecome feasible. This paper aims to offer a review of the state-of-the-artspectral imaging technologies, especially those capable of capturingspectral videos. Finally, we evaluate the performances of the existingspectral acquisition systems and discuss the trends for future work.

Keywords： Multispectral/hyperspectral video acquisition Snapshot Under-sampling and reconstruction

HTML PDF Collect

Video summarization with a graph convolutional attention network Research Articles

Ping Li, Chao Tang, Xianghua Xu,patriclouis.lee@gmail.com

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 6, Pages 902-913 doi: 10.1631/FITEE.2000429

Abstract: has established itself as a fundamental technique for generating compact and concise video, which alleviates managing and browsing large-scale video data. Existing methods fail to fully consider the local and global relations among frames of video, leading to a deteriorated summarization performance. To address the above problem, we propose a graph convolutional attention network (GCAN) for . GCAN consists of two parts, embedding learning and , where embedding learning includes the temporal branch and graph branch. In particular, GCAN uses dilated temporal convolution to model local cues and temporal self-attention to exploit global cues for video frames. It learns graph embedding via a multi-layer to reveal the intrinsic structure of frame samples. The part combines the output streams from the temporal branch and graph branch to create the context-aware representation of frames, on which the importance scores are evaluated for selecting representative frames to generate video summary. Experiments are carried out on two benchmark databases, SumMe and TVSum, showing that the proposed GCAN approach enjoys superior performance compared to several state-of-the-art alternatives in three evaluation settings.

Keywords：时序学习；自注意力机制；图卷积网络；上下文融合；视频摘要

HTML PDF Collect

Title Author Date Type Operation

Crowd modeling based on purposiveness and a destination-driven analysis method

Ning Ding, Weimin Qi, Huihuan Qian,hhqian@cuhk.edu.cn

Journal Article

Study on Data Exchange in System of Remote Monitoring Intelligent Building

Duan Jingmin, Wang Ying, Song Yongheng, Chang Hui

Journal Article

En-zhong YANG,Lin-kai ZHANG,Zhen YAO,Jian YANG

Journal Article

Intelligent compaction theory of high roller compacted concrete dam