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Thai Beef Cattle Recognition for Fattening Farms: An Empirical Study of Cattle Cooperative Practices in Chiang Rai

Thai Beef Cattle Recognition for Fattening Farms: An Empiric...

International ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications engineering (ECTI-NCON)

作者： Ant Maw Khon Myint Myat Pradorn Sureephong Qing Fan Santichai Wicha School of Applied Digital Technology Mae Fah Luang University Chiang Rai Thailand College of Arts Media and Technology Chiang Mai University Chiang Mai Thailand Key Laboratory of China(Guangxi)-ASEAN CrossBorder Animal Disease Prevention and Control Ministry of Agriculture and Rural Affairs of China Guangxi Veterinary Research Institute Guangxi China Computer and Communication Engineering for Capacity Building (CCC) School of Applied Digital Technology Mae Fah Luang University Chiang Rai Thailand

ISBN: (数字)9798331543273

ISBN: (纸本)9798331543280

This research focuses on developing an automated system to identify the breed and sex of Thai beef cattle using advanced computer vision technology. By using the YOLOv11 (You Only Look Once) model, a state-of-the-art object detection tool, this system can quickly and accurately identify cattle breeds and determine their sex. High-resolution image datasets were collected and augmented, yielding 81.2% accuracy for breed detection and 95.0% for sex classification, with mAP@50 scores of 85.1% and 99.3%, respectively. However, limited data for certain breeds, like Thai Native and Japanese cattle, reduced the model’s performance for those categories. To overcome this, we aim to expand the dataset from CCTV footage in future studies. The system will include user-friendly features, such as real-time alerts and dashboards, making it practical for farmers to use. This project demonstrates how AI can improve cattle farming by saving time, reducing errors, and supporting better decisions. Future improvements will explore applications in disease detection and behavior monitoring.

关键词： YOLO Deep learning Computer vision Cows Real-time systems Data models Object recognition Monitoring Farming Diseases

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Recurrence Formulas for the Mie Series

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Chinese Physics Letters 2011年第10期28卷 123-125页

作者： SUN Ji-Yu XIE Hong College of Information and Communication Engineering Harbin Engineering UniversityHarbin 150001 College of Measurement-Control Tech and Communications Engineering Harbin University of Science and TechnologyHarbin 150040

The Mie series has very important applications in electromagnetics(including optics).We employ a formulation for the Mie series which relies more on the derivatives of Legendre polynomials than Bessel *** formulas for derivatives related to Legendre polynomials are derived to realize the Mie series conveniently and to avoid treating special angles.

关键词： functions Legendre conveniently

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Air Pollution Monitoring By Integrating Local and Global Information in Self-Adaptive Multiscale Transform Domain

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IEEE Transactions on Multimedia 2025年

作者： Gu, Ke Liu, Yuchen Liu, Hongyan Liu, Bo Qiao, Junfei Lin, Weisi Zhang, Wenjun Beijing University of Technology School of Information Science and Technology Engineering Research Center of Intelligent Perception and Autonomous Control of Ministry of Education Beijing Laboratory of Smart Environmental Protection Beijing Key Laboratory of Computational Intelligence and Intelligent System Beijing Artificial Intelligence Institute Beijing100124 China Massey University School of Mathematical and Computational Sciences New Zealand Nanyang Technological University College of Computing and Data Science Singapore Shanghai Jiao Tong University Institute of Image Communication and Information Processing Shanghai China

As the deadliest form of pollution, air pollution had a prolonged severe damage to the human health and life safety of nearly 99% of the world's population. Facing to the problem that billions of tons of pollutants discharged into the air per year by industrial activities, this paper proposed a novel image-based air pollution monitor (IAPM) by incorporating local and global information in the self-adaptive multiscale transform domain, so as to achieve the timely and effective leakage detection of typical air pollutants from a single image. To be specific, this paper first developed a screen-shaped module according to two significant findings in visual neuroscience, which include the high sensitivity of human eyes to horizontal and vertical stimuli and the center-surround inhibition, by designing and fusing the square module, horizontal strip module and vertical strip module parallelly for simulating the behaviour of human eyes to extract local features. Second, the learnable weights and proportional mapping were applied to incorporate the screen-shaped module and lightweight vision transformer as backbone, towards more richly exploiting and fusing local and global information just as the way a brain perceives external stimuli. Third, a new self-adaptive multiscale transform domain method was devised based on two motivations from the visual characteristics of multiscale perception and the brain characteristics of self-adaptive domain transform to modify the backbone by using the operations of pooling and pointwise convolution. Extensive experiments implemented on the datasets of carbon particulate matters and ethylene leakage confirmed the superior monitoring performance of the proposed IAPM model beyond the state-of-the-art (SOTA) peers by an accuracy gain of about 4%. Furthermore, the proposed IAPM model only required 0.089 GFLOPs and 0.15 million model parameters, remarkably outperforming SOTA competitors in computational efficiency and storage resources. © 1999-2

关键词： Information leakage

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Electrical Characterization of Deep Trap Properties in High-k Thin-Film HfO2 Dielectric

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Chinese Physics Letters 2010年第7期27卷 218-220页

作者：杨录 National Key Laboratory for Electronic Measurement Technology School of Information and Communication Engineering North University of China Taiyuan 030051

Deep-trap properties of high-dielectric-constant （k） HfO2 thin films are investigated by deep-level transient spectroscopy and capacitance-voltage methods. The hole traps of the HfO2 dielectric deposited on a p-type Si substrate by sputtering are investigated in a metal-oxide-semiconductor structure over a temperature range of 300-500K. The potential depth, cross section and concentration of hole traps are estimated to be about 2.5eV, 1.8 ×10^-16 cm^2 and 1.0 × 10^16 cm^-3, respectively.

关键词： Traps Trapping Depth Potassium Curium

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FPGA-Oriented Target Detection Accelerator Design 5

FPGA-Oriented Target Detection Accelerator Design

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5th International Conference on Frontiers technology of Information and Computer, ICFTIC 2023

作者： Huang, Weizhe Harbin University of Science and Technology School of Measurement and Control Technology and Communication Engineering Harbin China

ISBN: (纸本)9798350309034

Target detection is widely applied in fields such as face recognition, autonomous driving, and industrial automation. However, when deploying target detection models based on convolutional neural networks on resource-constrained embedded platforms, issues like high computational complexity, long execution times, and significant on-chip memory usage arise. To address these challenges, this paper presents a target detection accelerator design based on Field Programmable Gate Array (FPGA). Firstly, the computational workload of convolutional neural networks is reduced by merging convolutional layers with batch normalization layers. Secondly, to mitigate on-chip storage space concerns, on-chip data fixed-point quantization is employed to decrease on-chip memory consumption. Subsequently, to tackle the issue of long execution times, a convolution calculation module based on the Winograd algorithm is designed, which reduces computation latency. Finally, a dual-buffer pipeline architecture is devised to optimize memory bandwidth. Experimental results demonstrate that the proposed solution accelerates YOLOv4-tiny on the ZYNQ-7020, achieving a performance of 21.35 GOP/s. The energy efficiency is 32.56 times higher than CPU and 9.76 times higher than GPU. Additionally, the convolution calculation module in this paper reduces inference time by 15% compared to the sliding window convolution calculation method. © 2023 IEEE.

关键词： CNN FPGA target detection Winograd algorithm

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The system design of wireless network single loop regulator

The system design of wireless network single loop regulator

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2013 2nd International Conference on measurement, Information and control, ICMIC 2013

作者： Wu, Li-Hua Lian, Liu Yang, Ming-Ling Wang, Yan-Dong School of Measurement-control Technology and Communication Engineering Harbin University of Science and Technology Harbin China

ISBN: (纸本)9781479913923

Single loop regulator is a process control level instrument in single loop distributed control system. The traditional single loop regulators based on the data bus and wire network exist limitations such as wiring and environment and so on. Aiming at these problems, this paper improved the traditional single loop regulator by combining wireless communication technology with information processing technology, and then designed a single loop regulator system based on wireless network. The system adopted PID adjustment. Practical tests proved that the regulator system could be used in practical applications. © 2013 IEEE.

关键词： Distributed parameter control systems

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The study of design for testability on analog circuit based on boundary-scan

The study of design for testability on analog circuit based ...

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2012 International Conference on Computer Science and Service System, CSSS 2012

作者： Lin, Haijun Hou, Zelong Yao, Fu Xuhui, Zhang School of Measurement-Control Technology and Communication Engineering Harbin University of Science and Technology Harbin China

ISBN: (纸本)9780769547190

Based on the analysis of the IEEE 1149.4 Std for a Mixed-Signal Test Bus, this paper analyzed the working and use principle of STA400 that supports the IEEE1149.4 Std in detail. Then this paper proposed constructive view on its use in design for testability on analog circuits, which has practical significance to the use of IEEE1149.4 Std. © 2012 IEEE.

关键词： Design for testability

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Performance Enhancement of Nanogenerator by Piezoelectric Filler Microstructure Design Towards Electrical Transmission Power Line Monitoring

SSRN

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SSRN 2025年

作者： Lu, Haowei Hu, Zhenghua Wang, Xin Chen, Gaoru Zheng, Xiaogan Xia, Jintao Huang, Mingju Yang, Wenlong Liu, Junhui Hu, Benlin Henan Key Laboratory of High Efficiency Energy Conversion Science and Technology Henan International Joint Laboratory of New Energy Materials and Devices School of Physics and Electronics Henan University Kaifeng475004 China School of Information and Artificial Intelligence Anhui Agricultural University Hefei230036 China School of Intelligent Manufacturing Wenzhou Polytechnic Wenzhou325035 China State Grid Fuzhou Electric Power Supply Company Fuzhou350009 China School of Measurement and Communication Engineering Harbin University of Science and Technology Harbin150080 China CAS Key Laboratory of Magnetic Materials and Devices Zhejiang Province Key Laboratory of Magnetic Materials and Application Technology Ningbo Institute of Materials Technology and Engineering Chinese Academy of Sciences Ningbo315201 China

Flexible composites-based piezoelectric nanogenerator (PENG) with low cost, stable properties and sensitivity to mechanical deformation is highly suitable for constructing a new self-powered perception layer in distributed electrical transmission power lines, which has the potential to reduce labor maintenance costs and improve sensing recognition accuracy. However, the lower output performance of PENG makes it difficult to integrate with energy management circuit and signal recognition system. Herein, we propose a enhanced output performance of composites-based PENG by designing piezoelectric fillers, where BCZT@Ag nanoparticles grow on the surface of BCZT fibers to form a Bracnch heterostructure. The PENG prepared by this new filler exhibits significantly enhanced output of 96.4 V and 15.52 µA, which are about 3.2 and 6.5 times higher than those of PENG without specific design, benefiting from improved charge transport mechanism and induced-polarization. Moreover, a intelligent Power IoTs system through the synergistic integration of this high-performance PENG and learning-assisted data analytics has been constructed, which enables accurate self-powered real-time monitoring of abnormal vibration states in transmission power lines to avoid rupture accident. This work not only provides an effective strategy to enhance the performance of PENG but also offers a new solution for the safe operation in power grid. © 2025, The Authors. All rights reserved.

关键词： Piezoelectricity

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Study on the technology of digital recognition in verification process of mechanical and electronic anemometer

International Journal of Control and Automation

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International Journal of control and Automation 2014年第4期7卷 337-344页

作者： Fan, Jianying Wang, An Gao, Yang Yu, Lei School of Measurement-Control and Communication Engineering Harbin University of Science and Technology 150080 Harbin China College of Information and Electronic Technology Jiamusi University 154007 Jiamusi China

In order to solve the key technical problem in the verification process of mechanical and electrical coal mine anemometer, the paper presents digital recognition approach base on the characters of the anemometer image. First of all, collect the mirror images of the anemometer from a plain mirror which in the wind tunnels. And then we process the mirror images with secondary mirroring, grayscaling, denoising and binarization. Followed the location of the digital area can be determined and the incline distortion of the image can be adjusted. The final step is segmenting the single character in the digital character region and identify the corresponding number base on the characteristics of anemometer, which using the LED digital tube to display numbers. The experiments show that this method can accurately identify the numbers on the anemometer and has high recognition rate. The recognition time is able to meet the requirement for the verification of anemometer. Thus the method has high practical value. © 2014 SERSC.

关键词： Coal mines

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Multi-perspective digital image correlation method using a single color camera

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Science China(Technological Sciences) 2018年第1期61卷 61-67页

作者： WANG YongHong DAN XiZuo LI JunRui WU SiJin YANG LianXiang School of Instrument Science and Opto-electronics Engineering Hefei University of Technology Department of Mechanical Engineering School of Engineering and Computer Science Oakland University Department of Measurement-Control Technology and Instrumentation Beijing Information Science and Technology University

A novel 3 D digital image correlation(DIC) system based on a single three charge-couple device(3 CCD) color camera is proposed in this paper. Images from three different perspectives are captured by a 3 CCD camera using a reflective-based pseudo-vision system. These images are then separated by the different CCD channels, and the correlation algorithm for the multi-camera DIC system is adopted to evaluate the images. Compared to the conventional multi-camera DIC system, the proposed system is much more compact. In addition, the proposed system has no loss of spatial resolution, compares to the traditional single camera DIC system. The complex surface measurement ability and the measurement accuracy is significantly improved through the use of the multi-camera DIC algorithm. The principle of the proposed system is described in detail as well as the experimental setup. A series of validation tests are performed, and the results are verified with the commercial 3 D-DIC system.

关键词： digital image correlation 3D-DIC single camera multi-perspective

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