Sen Zhou

Chongqing Metrology Quality Inspection and Research Institute

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i-10 index

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Co-Authors

Kwei-Jay Lin

Chang Gung University

Tao Leí

Chinese Academy of Sciences

Xiaoming Yang

Southwest University

Jin Zhou

Children's Hospital of Fudan University

Lei Tao

University of Chinese Academy of Sciences

Jiankang Li

National Institute for Materials Science

Tong Bai

Zhongshan Hospital of Xiamen University

Jiasai Luo

Chongqing University of Posts and Telecommunications

Yan Yu

Fuzhou University

Zhiying Feng

East China Normal University

Cooperative Institutions

Chongqing Metrology Quality Inspection and Research Institute

Chinese Academy of Sciences

LinkedIn (United States)

Chongqing University

Shanghai Jiao Tong University

Huazhong University of Science and Technology

Zhejiang University

Chongqing University of Posts and Telecommunications

Beijing Institute of Technology

Central South University

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Measurement of angular displacement by precisely controlled transmission structure based on laser interferometric system

Jin Zhou An Lu Chong Yue Sen Zhou Lei Tao

10.1117/12.2666786

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YOLO-CBD: A Recognition and Detection Method for Cigarette Box Based on YOLOv5

Shengchun Li Sen Zhou Yong Huang Changhong Liu Xiaoxiang Deng

In recent years, cigarette box recognition has be-come a significant aspect of object detection that has applications in many areas, such as the retail industry and health care. This paper proposes a real-time YOLOv5-based cigarette box detection method (YOLO-CBD). Specifically, the approach involves training YOLOv5 to detect and label the location of cigarette boxes in an image, then using the ArcFace algorithm to extract the feature of cigarette boxes. We evaluate the YOLO-CBD method on the cigarette box datasets. The results show that our method achieves a high MAP of 95.1% in complex scenarios, which is better than the state-of-the-art methods. In conclusion, the YOLO-CBD demonstrates high accuracy and stability in detecting cigarette boxes. It is a promising approach for practical applications in the tobacco industry.

Feature (linguistics)

Black box

10.1109/isssr58837.2023.00044

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Research on Building Energy Consumption Prediction Based on Extreme Time Series Prediction

Sen Zhou Ruping Shao Jing Yang Yiming Zhang Pengchun Li

In the study of building energy consumption prediction, short-term prediction is more extensive. Based on short-term prediction results, the future development and operation mode of buildings can be adjusted, thereby achieving better and faster energy allocation and building fault analysis. This is of great significance for achieving future green and smart buildings. In order to better utilize the information in feature data and improve prediction accuracy, this article adds an Auto Encoding layer to the LSTM model, expanding a single feature to multiple dimensions when there are fewer features. Experiments have shown that compared to traditional models, the LSTM+Auto Encoder model based on deep learning for extreme time series prediction has better prediction performance.

Predictive modelling

Feature (linguistics)

Extreme Learning Machine

Autoencoder

Mode (computer interface)

10.1145/3650215.3650323

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ASEKS: A P2P Audio Search Engine Based on Keyword Spotting

Ruizhi Ye Yingchun Yang Zhenyu Shan Yiyan Liu Sen Zhou

Currently, most search engines are text-based and their structures are centralized. These kinds of engine are sufficient for searching text information in Internet. However, while searching audio resource, an efficient content-based audio search engine is required. In this paper, we demonstrate an audio search engine ASEKS based on keyword spotting technology in the peer-to-peer (P2P) network. The indexing sub-model spots information in local audio files and generates indices for later query; and the P2P networks distributes the query and gathers the results. ASEKS supports scalability and avoids the bottleneck of network load that usually exists in centralized architecture. The average accuracy of the keyword spotting sub-model is 88.4% in detection rate on the 5.267 false alarm per keyword per hour

Spotting

Keyword spotting

Search-oriented architecture

10.1109/ism.2006.33

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Citations (6)

Automated inspection of gaps on the free-form shape parts by laser scanning technologies

Sen Zhou Yu Yan Jian Xu Lei Tao Lu An

In industrial manufacturing processes, the dimensional inspection of the gaps on the free-form shape parts is critical and challenging, and is directly associated with subsequent assembly and terminal product quality. In this paper, a fast measuring method for automated gap inspection based on laser scanning technologies is presented. The proposed measuring method consists of three steps: firstly, the relative position is determined according to the geometric feature of measuring gap, which considers constraints existing in a laser scanning operation. Secondly, in order to acquire a complete gap profile, a fast and effective scanning path is designed. Finally, the range dimension of the gaps on the free-form shape parts including width, depth and flush, correspondingly, is described in a virtual environment. In the future, an appliance machine based on the proposed method will be developed for the on-line dimensional inspection of gaps on the automobile or aerospace production line.

Laser Scanning

Free form

3D Scanning

10.1117/12.2292509

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Citations (3)

Long-wavelength emission room-temperature phosphorescent carbon dots activated by an ortho-carboxyl substitution strategy and employed for achieving tunable LED

Chemical Engineering Journal (2024)

Zihao Yan Zhiying Feng Sen Zhou Xiaoming Yang

Substitution (logic)

Carbon fibers

10.1016/j.cej.2024.152835

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Citations (1)

An improved device for the 3D optical scanner calibration and related influence factors on calibrating result

Yikun Xiong Jian Xu Sen Zhou Long Chen Jun Xiong

Nowadays, in industrial area, many mechanical part manufactures are applying 3D optical scanner in their production shop to do part online inspection, or in their coordinate measurement laboratory to obtain crucial part dimensions. The high demands of the 3D optical scanner make it necessary for researchers to create convenient and stable device for calibrating this kind of contact-less measurement instrument. In a former study, we introduced a plate with standard spheres as a calibration device, which showed a good test result when applied on a 3D optical scanner. However, we decide to do more research on related area. The first purpose of this paper is to present an improved calibration device based on our former study and daily work experience. The new device has a wider test range with less spheres, and it's structure is more portable, stable and more convenient to provide spatial positions. Results showed that the new device performed well in data stability and is quite easy to practice. The second purpose of this work is to study related influence factors on the 3D optical scanner calibration process. We investigated factors such as temperature, points cloud density, reflection patch density and numbers of images stitching. The results showed that those factors should be limited in proper conditions to ensure an acceptable calibration of 3D optical scanner.

Image stitching

10.1117/12.2573168

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Analysis of QoS to Guarantee Application SLAs for Trusted Industrial Control Network

Applied Mechanics and Materials (2011)

Zhong Ji Sen Zhou

Differentiated services architecture is receiving wide attention as a framework for providing different levels of service in the industrial control networks.Traditional networks are designed with no traffic differentiation; all traffic mission-critical and non-mission-critical is treated equally.In indutrial networks, it becomes important to make sure that mission-critical applications do not suffer. QoS (Quality-of-Service) solutions, available in common network devices, try to provide traffic differentiation and predictable performance for mission critical applications.In this paper we propose a novel Quality of Service provisioning approach, appropriate for trusted industrial networks. This method, based on the real-time system reconfiguration, exploits the system monitoring information, along with quality parameters from the SLAs and experience from previous executions.The presented QoS provisioning process proposes a set of actions based on application specific policies, which are closely coupled with particular SLAs in order to provide the required QoS level for the application. Furthermore, We study applies the methodology using OPNET simulation products to compare and contrast the performance of a new application in an environment with and without IP QoS solutions.

Provisioning

Control reconfiguration

Service level

10.4028/www.scientific.net/amm.121-126.1916

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Excellent strength-ductility balance via controlling stress-induced α′ martensite transformation of Ti422 alloy

Materials Science and Engineering A (2023)

Zhuoyue Sang Le Wang Jianwei Chen Qunbo Fan Sen Zhou

Ductility (Earth science)

Elongation

Work hardening

Strain hardening exponent

10.1016/j.msea.2023.145558

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Citations (8)

Proportional Crown Rolling for Single Rough Stand in Semi-Continuous Hot Rolling Strip

Advanced materials research (2012)

Shen Zheng Sen Zhou Hui Wang Zhuo Song Hong Bin Li

According to the status of rolling middling stock without crown control on the single rough stand in semi-continuous hot strip rolling in domestic, the advantages and the working mode of middle plate rolling with proportional crown are introduced. Finally, the ways to improve the existing rough mill with CVC technology are discussed.

Rolling mill

Stock (firearms)

10.4028/www.scientific.net/amr.602-604.2050

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Citations (1)