Being characterized by the self-adaption and high accuracy, deep learning-based models have been widely applied in 1D spectroscopy-related field. However, "black-box" operation "end-to-end" working style of learning normally bring low interpretability, where a reliable visualization is highly demanded. Although there are some well-developed methods, such as Class Activation Mapping (CAM) Gradient-weighted (Grad-CAM), for 2D image data, they cannot correctly reflect weights model when being...

This paper investigates the path planning problem of coal mine solid-filling and pushing mechanism proposes a hybrid improved adaptive genetic particle swarm algorithm (AGAPSO). To enhance efficiency accuracy planning, combines optimization (PSO) (GA), introducing sharing local search capability algorithm. The for scenario is optimized by dynamically adjusting parameters to accommodate different environments. Subsequently, proposed algorithm’s effectiveness in filling equipment...

As a mining country, China faces enormous challenges in the context of global commitment to achieve carbon neutrality. In order this goal, Chinese government is actively promoting green and low-carbon transformation energy system. Consequently, an increasing number mines with poor production capacity depleted resources are being closed down or eliminated, leading large quantity stranded land that now idle. However, process rapid economic development, facing serious problems, such as shortage...

Addressing the inherent fuzziness and uncertainty in filling outcomes, this paper proposes a novel method for evaluating effectiveness of solid operations coal mines by integrating Interval Type-2 Fuzzy Logic Systems (IT2FLS) with an improved Dempster-Shafer (D-S) evidence theory. Initially, local data fusion is conducted using IT2FLS-Adam, where interval type-2 fuzzy sets are employed to fuzzify input features, Adam optimizer utilized parameter optimization. This allows preliminary...

Our goal is to solve the complexity of laying down wiring for traditional monitoring systems mine water, while taking into account poor timeliness sampling and continuous monitoring, based on processing reuse water. In this article, we focus theory multi-sensor networks estimate water quality, quantity equipment, Internet Things (hereafter denoted "IoT") communication systems. We designed a IoT system wireless developed an experimental platform This has advantages simple strong...

Floods are one of the most common natural disasters that can cause considerable economic damage and loss life in many regions world. Urban flood risk assessment is important for urban control, disaster reduction, management. In this study, a novel approach assessing was proposed based on dynamic population distribution, improved entropy weight method, fuzzy comprehensive evaluation principle maximum membership, spatial distribution four different sessions or daily time segments (TS1-TS4)...

Aiming at the problem of inefficiency coal mine water reuse, a multi-level scheduling method for reuse based on an improved whale optimization algorithm is proposed. Firstly, objects time and cost are used to establish optimal model water. Secondly, in order overcome defect that (WOA) prone local convergence, opposition-based learning strategy introduced speed up convergence speed, Levy flight enhance ability jump out optimization, nonlinear factor balance global search ability, adaptive...

Solid backfilling in coal mining refers to filling the goaf with solid materials form a support structure, ensuring safety ground and upper areas. This method maximizes production addresses environmental requirements. However, traditional backfill mining, challenges exist, such as limited perception variables, independent sensing devices, insufficient data, data isolation. These issues hinder real-time monitoring of operations limit intelligent process development. paper proposes network...

It is vital for a city to monitor water quality in real time since the of has profound effect on residents' health. Unfortunately, it impossible human water's chemical composition frequently, which an impossibly demanding task, let alone time. Thus, taking advantage highly efficient system can be excellent solution. In this paper, we created called Real-time Intelligent Monitoring System Water Quality, enables responsive potential outbreak contamination and protect residents. The capable...

Abstract Optimizing the fixture layout of locating element is an important method to reduce clamping deformation thin-walled parts. A for optimizing based on whale optimization algorithm proposed in this paper, number and positions fixtures curved parts are optimized. Firstly, multi-point flexible tooling developed support technology. Then strain energy used describe all directions, model that takes position as a decision variable minimum goal established. Combined with parameterized finite...

In close-range or unmanned aerial vehicle (UAV) photogrammetry, Schneider concentric circular coded targets (SCTs), which are public, widely used for image matching and as ground control points. GSI point-distributed (GCTs), only mainly applied in a video-simultaneous triangulation resection system (V-STARS), non-public rarely UAV photogrammetry. this paper, we present our innovative detailed solution to identify GCTs. First, analyze the structure of GCT. Then, special 2D P2-invariant five...

Aiming at the characteristics of low sensitivity and narrow frequency range existing microseismic monitoring sensors for mine water hazard prevention control, a piezoelectric acceleration sensor based on kind triangular shear structure is proposed. Firstly, designed, its dynamic model built. The structural material parameters related to natural are analyzed. Then, selection ceramic materials discussed. parametric design designed carried out, finite element built by ANSYS. modal analysis,...

A robust and effective method for the identification of point-distributed coded targets (IPCT) in a video-simultaneous triangulation resection system (V-STARS) was reported recently. However, its limitations were setting critical parameters, it being non-adaptive, making misidentifications certain conditions, having low positioning precision, effect slightly inferior to that V-STARS. Aiming address these shortcomings IPCT, an improved named I-IPCT, with adaptive binarization, more precise...

Coal mining not only produces a large amount of mine water but also may cause pollution. Therefore, economic treatment and efficient reuse are the main research directions area at present, realization optimal dispatching is an urgent problem to be solved. Based on Na Lin as example, based maximizing rate water, summarizes level fractionation utilization pathway classification mode, build supply model, analyzed River No. 2 model space-time change dispatching, through comparing with...

Accurately detecting active objects undergoing state changes is essential for comprehending human interactions and facilitating decision-making. The existing methods object detection (AOD) primarily rely on visual appearance of the within input, such as in size, shape relationship with hands. However, these can be subtle, posing challenges, particularly scenarios multiple distracting no-change instances same category. We observe that are often result an interaction being performed upon...

In this paper, we propose a comprehensive anomaly detection model for the perception system of backfilling working faces. The consists three main components: position encoding module, time series prediction and module. module extracts global temporal information, including year, month, day, based on timestamp information data. utilizes Temporal Fusion Transformers model, which considers latent correlations among different variables accurate predictions. assesses data's abnormality by...

Many signals encountered in wireless communication, telemetry, radar and sonar systems exhibit a cyclostationarity (or spectral correlation) property, as result of periodically carrier modulating, multiplexing coding operations. By exploiting cyclostationarity, i.e., evaluating the cyclic correlation or spectrum received at certain cycle frequency, we can extract measures with different frequency. Thus, signal processing algorithms which based on statistics are highly tolerant to...

As a continuous antenna, the leaky coaxial cable (LCX) is widely used in wireless communication of closed or semi-closed areas such as subway, mine, tunnel, etc. Usually, LCX networks are required coal mines. Its channel characteristics great significance to mobile and mine safety. This paper presents an effective modeling optimization method that combines state transition particle swarm (PSO) algorithms for network. First, model can be established with few parameters based on method, which...

This paper is under in-depth investigation due to suspicion of possible plagiarism on a high similarity index The switching compensation devices, such as active power filters and static var generator, are growing rapidly for quality improvement. current reference signals one the important factor affecting responsible speed effect. In this paper, new strategy calculation present based Current’s Physical Components. Through orthogonal decomposition load by CPC theory, current, various...

When integrating evolutionary algorithms into the process of design modular robots, "reality gap" problem leads to difference between simulation and reality. A robot transplantation method based on improved inverse distance weighting proxy model is presented. Based plane moving task, portability consisting EMERGE modules different shapes types was experimentally studied. The information other real robots can be predicted according limited data robots. It no need do all evaluation experiments...