Coal/Gangue Recognition Using Convolutional Neural Networks and Thermal Images

Alfarzaeai, Murad Saleh; Niu, Qiang; Zhao, Jiaqi; Eshaq, Refat Mohammed Abdullah; Hu, Eryi

doi:10.1109/access.2020.2990200

Cited by 49 publications

(20 citation statements)

References 22 publications

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“…Derin öğrenme alanında en çok kullanılan yöntemlerden biri olan evrişimli sinir ağları, birçok alanda, özellikle öznitelik çıkarımının oldukça zor olduğu problemlerde son derece faydalıdır [44]. Bir çok problem çeşidinde, özellikle görüntü işleme problemlerinde [44], [47]- [49] öznitelik çıkarma aşamasının zor olması sebebi ile tercih edilen bu yöntem, zaman serisi analizinde de oldukça sık kullanılmaktadır. Tıp alanında tümör sınıflandırma gibi problemlerde de faydalı olan bir sınıflandırıcıdır [50].…”

Section: 𝑆(𝑖 𝑗) = (𝐼 * 𝐾)(𝑖 𝑗) = ∑ ∑ 𝐼(𝑚 𝑛)𝐾(𝑖 − 𝑚 𝑗 − 𝑚)unclassified

A General Review of the Methods Used Financial Time Series Forecasting

YURDUSEVEN

Müngen

2022

Bilecik Şeyh Edebali Üniversitesi Fen Bilimleri Dergisi

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As in the past, it is very important for investors to be able to predict the trend of financial data and to create a financial strategy using this information. However, nowadays, rapid access to financial data with fast Internet connections, developments in informatics, and cloud systems, the use of artificial intelligence algorithms for financial forecasting increase competition in this field. The share of artificial intelligence applications in areas such as portfolio management in Fintech is increasing. The aim of this study is to compile previous academic studies to predict financial time series data, to explain artificial intelligence algorithms used to predict time series, and to examine some predicted financial data types and their dependencies. At the end of the study, inferences were made such as the adequacy of the techniques used in the articles examined and which method could yield more successful results for which data type.

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Section: 𝑆(𝑖 𝑗) = (𝐼 * 𝐾)(𝑖 𝑗) = ∑ ∑ 𝐼(𝑚 𝑛)𝐾(𝑖 − 𝑚 𝑗 − 𝑚)unclassified

A General Review of the Methods Used Financial Time Series Forecasting

YURDUSEVEN

Müngen

2022

Bilecik Şeyh Edebali Üniversitesi Fen Bilimleri Dergisi

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“…Zhang et al [ 36 ] analyzed the distribution characteristics of natural gamma rays in roof coal and rock, established the relationship between radiation intensity and coal gangue content, and identified mixed coal and gangue by radiation signal detection. Alfarzaeai et al [ 37 ] studied coal gangue identification by convolutional neural networks and thermal images. Zhang et al [ 38 ] used infrared imager with low emissivity to improve the coal gangue recognition accuracy based on liquid intervention.…”

Section: Introductionmentioning

confidence: 99%

Simulation Research on Impact Contact Behavior between Coal Gangue Particle and the Hydraulic Support: Contact Response Differences Induced by the Difference in Impacted Location and Impact Material

et al. 2022

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In the process of top coal caving, coal gangue particles may impact on various parts of the hydraulic support. However, at present, the contact mechanism between coal gangue and hydraulic support is not entirely clear. Therefore, this paper first constructed the accurate mathematical model of the hydraulic cylinder equivalent spring stiffness forming by the equivalent series of different parts of emulsion and hydraulic cylinder, and then built the mesh model of the coal gangue particles and the support’s force transmission components; on this basis, the rigid–flexible coupling impact contact dynamic model between coal gangue and hydraulic support was established. After deducing contact parameters and setting impact mode, contact simulations were carried out for coal particles impacting at the different parts of the support and coal/gangue particles impacting at the same component of the support, and the contact response difference in the support induced by the difference in impacted component and coal/gangue properties was compared and studied. The results show that the number of collisions, contact force, velocity and acceleration of impacted part are different when the same single coal particle impact different parts of the support. Various contact responses during gangue impact are more than 40% larger than that of coal, and the difference ratio can even reach 190%.

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“…Coal gangue is the main solid waste generated during coal mining and washing, accounting for about 10-25% of total coal production [1][2][3][4]. With the progress of coal mining activities, coal gangue accumulates in large quantities; it has become one of the largest industrial residues [5,6].…”

Section: Introductionmentioning

confidence: 99%

Adsorption and Desorption of Coal Gangue toward Available Phosphorus through Calcium-Modification with Different pH

Min

Jiang

et al. 2022

Minerals

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The chemical reaction between calcium ions (Ca2+) and phosphate in the soil is the main way to maintain the availability of soil phosphorus. Thus, we believe stimulating coal gangue with Ca2+ solution would be an effective way to improve its adsorption and desorption capacity toward phosphate. In order to explore the effects of different pH of Ca2+ solution on the modified effect of coal gangue, we conducted mechanical grinding (<1 mm), high temperature calcination (800 °C), and the stimulation of Ca2+ solution with different pH (2, 7, 13), to prepare acidic calcium-modified coal gangue (Ac-CG) (Ac-CG, acidic calcium-modified coal gangue; Ne-CG, neutral calcium-modified coal gangue; Al-CG, alkali calcium-modified coal gangue; RCG, raw coal gangue), neutral calcium-modified coal gangue (Ne-CG), and alkali calcium-modified coal gangue (Al-CG); raw coal gangue (RCG) was regarded as the control. The results indicated that Al-CG had better phosphate adsorption (3.599 mg g−1); this favorable adsorption performance of Al-CG was related to the formation of hydrated calcium silicate gel and ettringite, which provided more Ca2+, Al3+, and hydroxyl groups, and a larger specific surface area (9.497 m2 g−1). Moreover, Al-CG not only held more phosphate but also maintained its availability longer for plants. It is suggested that stimulating coal gangue with Ca2+ solution under alkaline conditions is a perfect way to enhance its adsorption and desorption capacity toward phosphate; the Al-CG we prepared could be used as filling material and soil conditioner in the reclamation area.

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Coal/Gangue Recognition Using Convolutional Neural Networks and Thermal Images

Cited by 49 publications

References 22 publications

A General Review of the Methods Used Financial Time Series Forecasting

A General Review of the Methods Used Financial Time Series Forecasting

Simulation Research on Impact Contact Behavior between Coal Gangue Particle and the Hydraulic Support: Contact Response Differences Induced by the Difference in Impacted Location and Impact Material

Adsorption and Desorption of Coal Gangue toward Available Phosphorus through Calcium-Modification with Different pH

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