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A deep Q-learning network based active object detection model with a novel training algorithm for service Research Article

Shaopeng LIU, Guohui TIAN, Yongcheng CUI, Xuyang SHAO

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 11,   Pages 1673-1683 doi: 10.1631/FITEE.2200109

Abstract: important for to complete tasks in the family environment, and leads robots to approach the target object

Keywords： Active object detection     Deep Q-learning network     Training method     Service robots    

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Robust object tracking with RGBD-based sparse learning Article

Zi-ang MA, Zhi-yu XIANG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 7,   Pages 989-1001 doi: 10.1631/FITEE.1601338

Abstract: Robust object tracking has been an important and challenging research area in the field of computer visionFinally, a depth-based occlusion detection method is proposed to efficiently determine an accurate time

Keywords： Object tracking     Sparse learning     Depth view     Occlusion templates     Occlusion detection    

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Underwater object detection by fusing features from different representations of sonar data Research Article

Fei WANG, Wanyu LI, Miao LIU, Jingchun ZHOU, Weishi ZHANG,feiwang@dlmu.edu.cn,zhoujingchun@dlmu.edu.cn,teesiv@dlmu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 6,   Pages 828-843 doi: 10.1631/FITEE.2200429

Abstract: Three strategies are presented to investigate the impact of on different components of the detectionExperimental results show that our method benefits both the region proposal and the object classification

Keywords： Underwater object detection     Sonar data representation     Feature fusion    

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Detection of Explosives and Active Material by Nuclear Technologies

Chen Hande

Strategic Study of CAE 2008, Volume 10, Issue 1,   Pages 77-85

Abstract:

The advantages and characteristics of detection of hidden explosivesThe active neutron interrogation technology and their application to detection of explosives are introducedprogress in association with particle imaging and fast-pulse neutron system and the passive method to detectionFinally, the paper points out that for detection of hidden explosives and radioactive materials it is

Keywords： nuclear technology     neutron interrogation     explosive     active material     active material detector    

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A robust object tracking framework based on a reliable point assignment algorithm Article

Rong-feng ZHANG, Ting DENG, Gui-hong WANG, Jing-lun SHI, Quan-sheng GUAN

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 4,   Pages 545-558 doi: 10.1631/FITEE.1601464

Abstract: Visual tracking, which has been widely used in many vision fields, has been one of the most active researchHowever, there are still challenges in visual tracking, such as illumination change, object occlusionMoreover, a Kalman filter is applied to the detection step to speed up the detection processing and reducefalse detection.Finally, the proposed RPA is integrated into the tracking-learning-detection (TLD) framework with the

Keywords： Local maximal wavelet coefficients     Reliable point assignment     Object tracking     Tracking learning detection    

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Unsupervised object detection with scene-adaptive concept learning Research Articles

Shiliang Pu, Wei Zhao, Weijie Chen, Shicai Yang, Di Xie, Yunhe Pan,xiedi@hikvision.com

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 5,   Pages 615-766 doi: 10.1631/FITEE.2000567

Abstract: Object detection is one of the hottest research directions in computer vision, has already made impressiveHowever, the mainstream detection methods still have two shortcomings: (1) even a model that is wellWe first extract a large number of object proposals from unlabeled data through a pre-trained detectioncenter represents an object prototype.Third, we look into the relations between different clusters and the object information of different

Keywords： 视觉知识；无监督视频目标检测；场景自适应学习    

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Creating technical heritage object replicas in a virtual environment

Olga EGOROVA,Dmitry SHCHERBININ

Frontiers of Mechanical Engineering 2016, Volume 11, Issue 1,   Pages 108-115 doi: 10.1007/s11465-016-0363-4

Abstract:

The paper presents innovative informatics methods for creating virtual technical heritage replicas, which are of significant scientific and practical importance not only to researchers but to the public in general. By performing 3D modeling and animation of aircrafts, spaceships, architectural-engineering buildings, and other technical objects, the process of learning is achieved while promoting the preservation of the replicas for future generations. Modern approaches based on the wide usage of computer technologies attract a greater number of young people to explore the history of science and technology and renew their interest in the field of mechanical engineering.

Keywords： 3D document     history of science and technology     technical knowledge     popularization     virtual environment     replica     mechanism and machine science (MMS)    

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A novel robotic visual perception framework for underwater operation Research Article

Yue LU, Xingyu CHEN, Zhengxing WU, Junzhi YU, Li WEN

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 11,   Pages 1602-1619 doi: 10.1631/FITEE.2100366

Abstract: ., object detection and tracking), but underwater scenes have poor visual quality and represent a specialbeneficial to detection in real sea scenarios by reducing the domain shift.Moreover, non-reference assessments are proposed for detection continuity and stability based on objectSmall-overlap suppression is proposed to extend (VID) methods to a single-object tracking task, leadingto the flexibility to switch between detection and tracking.

Keywords： Underwater operation     Robotic perception     Visual restoration     Video object detection    

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A modified YOLOv4 detection method for a vision-based underwater garbage cleaning robot Research Article

Manjun TIAN, Xiali LI, Shihan KONG, Licheng WU, Junzhi YU,tianmanjun2018@163.com,xiaer_li@163.com,kongshihan@pku.edu.cn,wulicheng@tsinghua.edu.cn,junzhi.yu@ia.ac.cn

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 8,   Pages 1217-1228 doi: 10.1631/FITEE.2100473

Abstract: We propose a garbage detection method based on a , allowing high-speed and high-precision .With the purpose of further improvement on the detection accuracy, YOLOv4 is transformed into a four-scaledetection method.To improve the detection speed, model pruning is applied to the new model.By virtue of the improved detection methods, the robot can collect garbage autonomously.

Keywords： Object detection     Aquatic environment     Garbage cleaning robot     Modified YOLOv4    

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modeling on improved performance of an innovative method of using heave response of a non-floating object

Srinivasan CHANDRASEKARAN, Arunachalam AMARKARTHIK, Karuppan SIVAKUMAR, Dhanasekaran SELVAMUTHUKUMARAN, Shaji SIDNEY

Frontiers in Energy 2013, Volume 7, Issue 3,   Pages 279-287 doi: 10.1007/s11708-013-0268-4

Abstract: Up to the present, no studies have been done to harness ocean waves using a non-floating object and toIn the present paper, an innovative heaving body type of wave energy converter with a non-floating object

Keywords： ocean wave energy     point absorbers     heaving body     non-floating object     heave response ratio     artificial neural    

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advanced engineering measures on displacement and stress field of surrounding rock in tunnels crossing active

Frontiers of Structural and Civil Engineering doi: 10.1007/s11709-023-0966-x

Abstract: using high-strength concrete-to resist fault dislocation in the surrounding rock near tunnels crossing activeThe research results provide a new supporting idea for the surrounding rock of tunnels crossing active

Keywords： anti-fault effect     engineering measures     LRAF method     stress and displacement field     tunnel-crossing active    

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Solid-state NMR for metal-containing zeolites: From active sites to reaction mechanism

Xingling Zhao, Jun Xu, Feng Deng

Frontiers of Chemical Science and Engineering 2020, Volume 14, Issue 2,   Pages 159-187 doi: 10.1007/s11705-019-1885-1

Abstract: To understand the nature of metal active sites and the reaction mechanism over such catalysts is of greatsummarize recent developments and applications of SSNMR for exploring the structure and property of activecatalytic reactions on metal-containing zeolites based on the observation of key surface species and active

Keywords： metal-containing zeolites     solid-state NMR     active site     host-guest interaction     reaction mechanism    

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Advances in Active Suspension Systems for Road Vehicles

Min Yu,Simos Evangelou,Daniele Dini,

Engineering doi: 10.1016/j.eng.2023.06.014

Abstract: Active suspension systems (ASSs) have been proposed and developed for a few decades, and have now onceadopted in production cars are discussed in detail, including the representative solutions of Mercedes activebody control (ABC) and Audi predictive active suspension; novel concepts that could become alternativecandidates are also introduced, including series active variable geometry suspension, and the active

Keywords： Active suspension     Vehicle dynamics     Robust control     Ride comfort     Chassis attitude    

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Detection of engineering vehicles in high-resolution monitoring images

Xun Liu, Yin Zhang, San-yuan Zhang, Ying Wang, Zhong-yan Liang, Xiu-zi Ye,star.liuxun@gmail.com,yinzh@zju.edu.cn,syzhang@zju.edu.cn,maggiewang0427@gmail.com

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 5,   Pages 346-357 doi: 10.1631/FITEE.1500026

Abstract: Our method first detects object patches from monitoring images using a coarse detection process.Then we use a linear support vector machine to rapidly detect many image patches that may contain objectIn this stage, we increase the size of the image patches so that they include the complete object usingmodels of the object parts.The detection process returns the absolute position of positive objects in the original images.

Keywords： Object detection     Histogram of oriented gradient (HOG)     Dense scale-invariant feature transform (dense    

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An antibiotic composite electrode for improving the sensitivity of electrochemically active biofilm biosensor

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 8, doi: 10.1007/s11783-022-1518-7

Abstract:

• Antibiotic azithromycin employed in graphite electrode for EAB biosensor.

Keywords： AZM@GP composite electrode     EAB-biosensor     Water quality early-warning    

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Title Author Date Type Operation

A deep Q-learning network based active object detection model with a novel training algorithm for service

Shaopeng LIU, Guohui TIAN, Yongcheng CUI, Xuyang SHAO

Journal Article

Robust object tracking with RGBD-based sparse learning

Zi-ang MA, Zhi-yu XIANG

Journal Article

Underwater object detection by fusing features from different representations of sonar data

Fei WANG, Wanyu LI, Miao LIU, Jingchun ZHOU, Weishi ZHANG,feiwang@dlmu.edu.cn,zhoujingchun@dlmu.edu.cn,teesiv@dlmu.edu.cn

Journal Article

Detection of Explosives and Active Material by Nuclear Technologies

Chen Hande

Journal Article

A robust object tracking framework based on a reliable point assignment algorithm

Rong-feng ZHANG, Ting DENG, Gui-hong WANG, Jing-lun SHI, Quan-sheng GUAN

Journal Article

Unsupervised object detection with scene-adaptive concept learning

Shiliang Pu, Wei Zhao, Weijie Chen, Shicai Yang, Di Xie, Yunhe Pan,xiedi@hikvision.com

Journal Article

Creating technical heritage object replicas in a virtual environment

Olga EGOROVA,Dmitry SHCHERBININ

Journal Article

A novel robotic visual perception framework for underwater operation

Yue LU, Xingyu CHEN, Zhengxing WU, Junzhi YU, Li WEN

Journal Article

A modified YOLOv4 detection method for a vision-based underwater garbage cleaning robot

Manjun TIAN, Xiali LI, Shihan KONG, Licheng WU, Junzhi YU,tianmanjun2018@163.com,xiaer_li@163.com,kongshihan@pku.edu.cn,wulicheng@tsinghua.edu.cn,junzhi.yu@ia.ac.cn

Journal Article

modeling on improved performance of an innovative method of using heave response of a non-floating object

Srinivasan CHANDRASEKARAN, Arunachalam AMARKARTHIK, Karuppan SIVAKUMAR, Dhanasekaran SELVAMUTHUKUMARAN, Shaji SIDNEY

Journal Article

advanced engineering measures on displacement and stress field of surrounding rock in tunnels crossing active

Journal Article

Solid-state NMR for metal-containing zeolites: From active sites to reaction mechanism

Xingling Zhao, Jun Xu, Feng Deng

Journal Article

Advances in Active Suspension Systems for Road Vehicles

Min Yu,Simos Evangelou,Daniele Dini,

Journal Article

Detection of engineering vehicles in high-resolution monitoring images

Xun Liu, Yin Zhang, San-yuan Zhang, Ying Wang, Zhong-yan Liang, Xiu-zi Ye,star.liuxun@gmail.com,yinzh@zju.edu.cn,syzhang@zju.edu.cn,maggiewang0427@gmail.com

Journal Article

An antibiotic composite electrode for improving the sensitivity of electrochemically active biofilm biosensor

Journal Article