co detection for coal crushing

co detection for coal crushing

Correction model for CO detection in the coal combustion ...

2021-7-1 · In the process of coal combustion, some typical and easy-to-detect index gases are produced, such as CO, CO 2, and SO 2 (Shi et al., 2021). Accurate detection of a change in the concentration of these gases can provide a reliable criterion for the identification and early detection of hidden dangers posed by coal combustion and can reduce false ...

Proximity Detection for Coal Mines - Strata Worldwide

2019-4-8 · HazardAVERT®is an electromagnetic proximity detection system designed to increase personnel safety and awareness while working in and around mobile machinery. It was developed to prevent crushing and pinning type accidents in underground mining environments.

Early detection system for coal spontaneous combustion

2020-1-1 · As a common hazard, coal spontaneous combustion (CSC) causes the loss of coal in piles and mines. To rapidly and reliably forecast CSC, a portable and powerful detection system based on a laser spectroscopic technique is proposed, to precisely measure gaseous inhibitors; the technique uses a single, distributed-feedback diode laser emitting at 2.33 μm as a sensing light source for dual species.

CO and CO2 emissions from spontaneous heating of coal ...

2012-8-30 · Therefore, early detection is critical in the prevention and control of fires caused by spontaneous combustion in underground coal mines. The primary method used for the detection of spontaneous combustion in underground coal mines is the analysis of the gaseous products of coal oxidation using a gas analyzer or a gas chromatograph.

Sources of underground CO: Crushing and ambient ...

2015-11-1 · CO concentration in the tank is closely related to the crushing time of coal, as shown in Fig. 3. The 4 kinds of coal samples can produce CO during crushing and CO concentration increases with the increase in milling time. For example, when HLE coal sample was ground for 20 min, the concentration of generated CO is 2.9 ppm.

Co-saliency Detection - GitHub Pages

2021-8-18 · Co-saliency Detection. Co-saliency detection is used to discover the common saliency on the multiple images. This page provides a paper list of the co-saliency detection. If you have paper to recommend or any suggestions, please feel free to contact

Adaptive Graph Convolutional Network With Attention

2020-6-29 · Adaptive Graph Convolutional Network with Attention Graph Clustering for Co-saliency Detection Kaihua Zhang1, Tengpeng Li1, Shiwen Shen2, Bo Liu2∗, Jin Chen 1,Qingshan Liu1 1B-DAT and CICAEET, Nanjing University of Information Science and Technology, Nanjing, China 2JD Digits, Mountain View, CA, USA {zhkhua,kfliubo}@gmail Abstract

[2003.06167] Adaptive Graph Convolutional Network with ...

2020-3-13 · Co-saliency detection aims to discover the common and salient foregrounds from a group of relevant images. For this task, we present a novel adaptive graph convolutional network with attention graph clustering (GCAGC). Three major contributions have been made, and are experimentally shown to have substantial practical merits. First, we propose a graph convolutional network design to extract ...

Designed Co-DNA-Locker and Ratiometric SERS Sensing ...

2021-7-21 · Designed Co-DNA-Locker and Ratiometric SERS Sensing for Accurate Detection of Exosomes Based on Gold Nanorod ACS Applied Materials & Interfaces ( IF 9.229) Pub Date : 2021-07-08 Jing Wang, Hongyang Xie, Caifeng Ding

Co-saliency 经典算法文献汇总_微恋的博客-CSDN博客

2020-10-25 · Co-saliency Detection via A Self-pacedMultiple-instance Learning Framework T-PAMI 2016 摘要:Co-saliency detection 从一组图像中提取出共同显著的物体。一方面,传统的检测方法严重依赖于手工设计的距离度量来反应协同显著区域有效的属性。另一 ...

Correction model for CO detection in the coal combustion ...

Abstract Accurate detection of CO gas is crucial to the prevention of coal combustion. Tuneable diode laser absorption spectroscopy (TDLAS) is a reliable method for CO detection during coal combustion. The influences of temperature and pressure cause changes in the line strength and linewidth of the index gases’ absorption spectra, leading to sizable measurement errors.

Proximity Detection in Coal Mining - Strata Worldwide

2017-9-25 · detection, alarm and interlocking system for surface and underground HazardAVERT® is an electromagnetic proximity detection system designed to increase personnel safety and awareness while working in and around mobile machinery. It was developed to prevent crushing and pinning type accidents in underground mining environments.

Correction model for CO detection in the coal combustion ...

2021-3-16 · Accurate detection of CO gas is crucial to the prevention of coal combustion. Tuneable diode laser absorption spectroscopy (TDLAS) is a reliable method for CO detection during coal combustion. The influences of temperature and pressure cause changes in the line strength and linewidth of the index gases’ absorption spectra, leading to sizable measurement errors.

(PDF) Crushing properties of coal - ResearchGate

For co al sam pl es (R. 2 = 0.63) ... The Hardgrove grindability index HGI is closely related to the power consumed in crushing coal and may be used to optimize ... Detection of active centers and ...

Group Collaborative Learning for Co-Salient Object

2021-6-11 · Group Collaborative Learning for Co-Salient Object Detection Qi Fan1,3,∗ Deng-Ping Fan2,† Huazhu Fu2 Chi-Keung Tang1 Ling Shao2 Yu-Wing Tai1,3 1 HKUST 2 Inception Institute of Artificial Intelligence 3 Kuaishou Technology [email protected], [email protected], [email protected], [email protected], [email protected], [email protected]

Rapid detection of low concentration CO using Pt-loaded ...

The 0.50 at.% Pt/ZnO based gas sensor exhibited an obvious response value of 3.57 toward 50 ppm CO and fast response/recovery time (6/19 s). Besides, the detection limit was as low as 0.10 ppm and the optimal operating temperature was decreased from 210 °C to 180 °C.

Co-saliency Detection - GitHub Pages

2021-8-18 · Co-saliency Detection. Co-saliency detection is used to discover the common saliency on the multiple images. This page provides a paper list of the co-saliency detection. If you have paper to recommend or any suggestions, please feel free to

[2012.01950v1] Co-mining: Self-Supervised Learning for ...

2020-12-3 · In this paper, we propose a simple but effective mechanism, called Co-mining, for sparsely annotated object detection. In our Co-mining, two branches of a Siamese network predict the pseudo-label sets for each other. To enhance multi-view learning and better mine unlabeled instances, the original image and corresponding augmented image are used ...

论文笔记之:Co-saliency Detection via A Self-paced

2016-11-4 · Co-saliency Detection via A Self-paced Multiple-instance Learning Framework T-PAMI 2016 摘要:Co-saliency detection 从一组图像中提取出共同显著的物体。一方面,传统的检测方法严重依赖于手工设计的距离度量来反应协同显著区域有效的属性。 ...

[2003.06167] Adaptive Graph Convolutional Network with ...

2020-3-13 · Co-saliency detection aims to discover the common and salient foregrounds from a group of relevant images. For this task, we present a novel adaptive graph convolutional network with attention graph clustering (GCAGC). Three major contributions have been made, and are experimentally shown to have substantial practical merits. First, we propose a graph convolutional network design to extract ...

CO and CO2 emissions from spontaneous heating of coal ...

2012-8-30 · Therefore, early detection is critical in the prevention and control of fires caused by spontaneous combustion in underground coal mines. The primary method used for the detection of spontaneous combustion in underground coal mines is the analysis of the gaseous products of coal oxidation using a gas analyzer or a gas chromatograph.

Final Rule on Proximity Detection Systems for Continuous ...

2018-3-16 · Final Rule on Proximity Detection Systems for Continuous Mining Machines in Underground Coal Mines The Mine Safety and Health Administration (MSHA) has announced a final rule that will strengthen protections for miners on the working section of underground coal mines by reducing the potential for pinning, crushing, or striking accidents.

Proximity Detection in Coal Mining - Strata Worldwide

2017-9-25 · detection, alarm and interlocking system for surface and underground HazardAVERT® is an electromagnetic proximity detection system designed to increase personnel safety and awareness while working in and around mobile machinery. It was developed to prevent crushing and pinning type accidents in underground mining environments.

Early detection system for coal spontaneous combustion

As a common hazard, coal spontaneous combustion (CSC) causes the loss of coal in piles and mines. To rapidly and reliably forecast CSC, a portable and powerful detection system based on a laser spectroscopic technique is proposed, to precisely measure gaseous inhibitors; the technique uses a single, distributed-feedback diode laser emitting at 2.33 μm as a sensing light source for dual species.

Fire Detection for Conveyor Belt Entries

2012-8-30 · small coal fwes were used to ignite the conveyor belt at . air . velocities ranging from 0.76 to 6.1 m/s. In the tests, electrical strip heaters imbedded . within . a pile of coal were used to heat the coal to a point of flaming ignition. The flaming coal subsequently ignited the conveyor belt located approximately 5 to 10 cm above the coal pile.

Multi-scale Graph Fusion for Co-saliency Detection

2021-1-7 · Multi-scale Graph Fusion for Co-saliency Detection Rongyao Hu 1 ;2, Zhenyun Deng3, Xiaofeng Zhu 1Center for Future Media and School of Computer Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China 2School of Natural and Computational Science, Massey University Auckland Campus, New Zealand 3School of Computer

GitHub - ltp1995/GCAGC-CVPR2020: Co-saliency detection ...

2020-10-16 · Co-saliency detection, GCAGC, CVPR2020, GCAGC-Inst, TMM2021. Adaptive Graph Convolutional Network with Attention Graph Clustering for Co-saliency Detection - GitHub - ltp1995/GCAGC-CVPR2020: Co-saliency detection, GCAGC, CVPR2020, GCAGC-Inst, TMM2021. Adaptive Graph Convolutional Network with Attention Graph Clustering for Co-saliency Detection

Co‐teaching based pseudo label refinery for

Co-teaching based pseudo label refinery for cross-domain object detection Kunpeng Wang1 Jingxiang Cai1 Juan Yao1,2 Peng Liu1 Zhiqin Zhu3 1 School of Information and Engineering, Southwest University of Science and Technology, Mianyang, China (Email: [email protected])

【CoSOD】ICNet: Intra-saliency Correlation Network for

2020-12-7 · 获得CSA map之后, 正如[Co-saliency detection via mask-guided fully convolutional networks with multi-scale label smoothing]中建议的, 将其与l2规范化的特征F相乘来专注于co-salient region和最终预测得到Co-SOD map A. 然而, 观察到这种方式下, 模型不能判断

PSC-Net: learning part spatial co-occurrence for occluded ...

2020-11-19 · Detecting pedestrians, especially under heavy occlusion, is a challenging computer vision problem with numerous real-world applications. This paper introduces a novel approach, termed as PSC-Net, for occluded pedestrian detection. The proposed PSC-Net contains a dedicated module that is designed to explicitly capture both inter and intra-part co-occurrence information of different pedestrian ...